william randall spence evan due celia reyes

54
ANALYZING AND MONITORING ANALYZING AND MONITORING THE IMPACT OF THE THE IMPACT OF THE GLOBAL FINANCIAL CRISIS GLOBAL FINANCIAL CRISIS William Randall Spence Evan Due Celia Reyes

Upload: others

Post on 15-Oct-2021

2 views

Category:

Documents


0 download

TRANSCRIPT

ANALYZING AND MONITORING ANALYZING AND MONITORING THE IMPACT OF THE THE IMPACT OF THE

GLOBAL FINANCIAL CRISISGLOBAL FINANCIAL CRISIS

William Randall SpenceEvan Due

Celia Reyes

Outline of Presentation

What is PEPModeling and Policy Impact Analysis (MPIA) Studies of Crisis ImpactsCommunity Based Monitoring Systems (CBMS) Study of Crisis Impacts Coping Mechanisms and Government responses in the PhilippinesNext Steps

PEP Vision and Objectives

VisionPEP is a global network of developing country researchers with the skills and reputation to participate in and influence national and international academic and policy debates on poverty issues

ObjectivesBetter understand the causes and consequences of povertyPropose pro-poor policies and programsImprove the measurement and monitoring of povertyStrengthen local research capacity on poverty issuesDevelop new concepts and techniques for poverty analysis

PEP A decade of policy research and development

Engage a critical mass of researchers in developing countriesFoster comparative analyses across countries and teamsProvide systematic training and technical assistance Increase visibility dissemination and policy impactInteract and share knowledge with the other PEP programs and projects and with related national and international initiativesComprised of 4 sub networks ndash MPIA PMMA CBMS and PIERINumber of projects ndash 111

Research Themes

MPIAEconomic GrowthPublic Spending especially on education and healthSectoral policies particularly agriculturePoverty reduction policiesLabor markets (migration education gender regulation)

CBMSPoverty monitoringTargetingGender responsive budgetingLocal governanceLocalizing the MDGs

Research Themes

PMMAMultidimensional poverty analysis Public spending and its impact on poverty and equity Growth and poverty dynamics Policy impact analysisIntra-household allocation of well-being

PIERIEducationHealthSocial protection

Financial Crisis ImpactsCBMS MPIA PMMA

PEP Network

Core funders ndash IDRC CIDA AusAIDMain partner institutions - AKI Philippines CRES Senegal GRADE in Peru Laval SANEM OPHI IFPRICollaboration with the UN

Support for CBMS implementation in the Philippines and Kenya CBMS-UNDP Development GrantsGender responsive budgeting with UNIFEM in PeruUNICEF commissioned study on the impact of GFC on child povertyPreparation of Provincial MDG reports for presentation in September 2010 meeting in New York

MPIA Crisis Impact Studies

CGE modelling integrated with household survey data microsimulationTransmission channels

Trade Remittances Foreign direct investment Aid flows (Countercyclical fiscal policy)

Household consumption and welfare fall particularly poor households Bangladesh

Garment exports and manufacturing sector declinedDecline in agricultural sector and overall GDP some expansion in total exportsPoorer households appear to be the major victims

MPIA Crisis Impact Studies - Preliminary results

PakistanDeclines of FDI ( 28) foreign portfolio investment (128) exports (13) ODA (613)Sharp decline in development spending particularly health education population and social security serious challenges for MDG realizationExport declines hit high income earners drop in ODA was harsh on the poor

PhilippinesGarment exports and manufacturing sector declinedHousehold consumption and welfare fall particularly poor householdsDecline in agricultural sector and overall GDP some expansion in total exportsPoorer households appear to be the major victims

KEY FEATURES OF CBMS

Involves a census of all households in a communityLocal government unit (LGU)‐based while promoting community participationTaps existing LGU‐personnelcommunity members as monitorsEstablishes database at each geopolitical levelHas a core set of indicators but system is flexible enough to accommodate additional indicatorsFrequent rapid quickly processed and available resultsInexpensive and paid mostly by local governments (more advanced systems like Philippines)

National

Provincial

MunicipalCity

Village

Administrative Structure Information AvailabilityCBMS can fill

the gap

National surveys

CBMS

Decentralization creates new information demands that may be best satisfied with CBMS

Survival

Security

Enabling

bullHealthbullFood amp NutritionbullH20 amp Sanitation

bullShelterbullPeace amp Order

bullIncomebullEmploymentbullEducation

1 Child deaths (0-5 yrs old)2 Women deaths due to pregnancy

-related causes 3 Malnourished children (0-5 yrs old)4 HHs wo access to safe water5 HHs wo access sanitary toilet

6 HHs who are squatters7 HHs living in makeshift housing8 HHs victimized by crimes

9 HHs wincome below poverty threshold10 HHs wincome below food threshold11 HHs who experienced food shortage12 Unemployment13 Elementary school participation14 High school participation

CBMS Indicators Dimensions of Poverty Core Indicators

CBMS Core Indicators

USES OF CBMS

Empowers community by building its capacity to participate in diagnosing the problem offering solutions and monitoring the impact of these solutions Enriches existing databases both at the local and national levelsEnhances the preparation of socioeconomic profiles as well as development and investment plansImproves the allocation of resources by making it easier to prioritize interventions based on the local poverty diagnosisIncreases equity in resource allocation between communities and households as well as between men and womenHelps to monitor the impact of projects and programs thus contributing to poverty reduction efforts Helps in analyzing the impact of economic shocks (eg price shocks and global crisis)

CBMS Coverage

AsiaBangladeshCambodiaIndonesiaLao PDRPakistanPhilippinesVietnam

Latin AmericaPeru

AfricaBeninBurkina FasoGhanaKenyaNigeriaSenegalTanzaniaZambia

IICARI

III

IV-B

IV-A

V

VIII

VI

VII

X

CARAGA

XI

IX

ARMMXII

NCR

166298 341

226

353

235

328

330

298

314

315

249

226

312

327

340

Underweight children 0-5 years old0 - 20 (Significantly below average)201 - 276 (Below average)277 - 33 (Above average)331 - 100 (Significantly above average)

Source FNRI NNS 2003

N

04022010 15

Malnourished Children 0-5 years old by regions

04022010 16

Proportion of children aged 0-5 years old who are malnourished by municipalityProvince of Marinduque 2005

Source CBMS Survey 2005

Proportion of children aged 0-5 years old who are malnourished by barangay Province of Marinduque 2005

Source CBMS Survey 2005

04022010

Proportion of children aged 0-5 years old who are malnourished by purok and location of householdsMunicipality of Torrijos Marinduque 2005

18

Source CBMS Survey 2005

Monitoring the Impact of the crisis using CBMS

I ObjectivesII Why use CBMSIII Impact of the Global Financial

CrisisIV Mitigation ProgramsV Conclusion and

Recommendations

OBJECTIVES OF THE STUDY

1 To monitor the impact of the global financial and economic crisis on poverty in the Philippines

2 To identify coping strategies of households

3 To determine who benefits from government programs aimed at mitigating the impact of the crisis

4 To provide inputs to policymakers in prioritizing mitigating measures to address the impact of the crisis on poverty

Why use CBMS

Data from existing surveys are too aggregatedSurveys on poverty are conducted too infrequently ndash data when they become available cannot be used as basis for timely responseAbsence of data on coping strategies of householdsLack of data on access to government programs

TREND IN GDP

Decreasing trend in GDP growth starting Q3 of 2007

Source NSCB

Growth in Real GDP 2004-2009

0020

4060

80100

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Q1

Q2

Q3

2004 2005 2006 2007 2008 2009

Period

Gro

wth

Rat

e (

)

TREND IN EXPORTS

There is an increasing trend in volume of exports starting March 2009 but year-on-year growth is still in negative territory

Levels and Growth Rates of Exports 2007-2009

2000

2500

3000

3500

4000

4500

5000

Jan

Feb

Mar

Apr

May

Jun Jul

Aug

Sep Oct

Nov

Dec

Jan

Feb

Mar

Apr

May

Jun Jul

Aug

Sep Oct

Nov

Dec

Jan

Feb

Mar

Apr

May

Jun Jul

Aug

Sep

2007 2008 2009

FOB

valu

e (in

milli

on U

S do

llars

)

-50

-40

-30

-20

-10

0

10

20

30

Growth rate year-on-year ()

Source NSO

TREND IN UNEMPLOYMENT RATE

uarr in unemployment rate by 03 percentage points in January 2009 (y-o-y) uarr in unemployment rate by 02 percentage points in

July 2009 (y-o-y)

Unemployment 2007-2009

60

65

70

75

80

85

Jan Apr Jul Oct Jan Apr Jul Oct Jan Apr Jul

2007 2008 2009

Period

Unem

ploy

men

t Rat

e (

)

Source NSO

TREND IN LABOR TURNOVER RATESLabor Turnover 2007-2009

-20

-10

00

10

20

30

40

50

60

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2

2007 2008 2009

All Sectors

Manufacturing

Source BLES

Labor turnover rate for all sectors started to decline in Q2 of 2008 with the manufacturing sector posting negative turnover rate in Q1 of 2009

TREND IN OFW REMITTANCES

OFW remittances continue to exhibit general upward trend but year-on-year growth rates had slumped compared to previous years

Source BSP

Levels and Growth Rates of Overseas Filipinos Remittances (2007-2009)

1000

1100

1200

1300

1400

1500

1600

Jan Fe Ma Apr

Ma Jun Jul

Au Se Oct

No De Jan Fe Ma Apr

Ma Jun Jul

Au Se Oct

No De Jan Fe Ma Apr

Ma Jun Jul

Au Se

2007 2008 2009

Period

Am

ount

(in

mill

ion

USD

)

0

5

10

15

20

25

30

35

Gro

wth

Rat

e (

)

Amount

Grow thrate y ear-on-y ear

TREND IN OFW DEPLOYMENTOFW Deployment 2007-2009

200000

220000

240000

260000

280000

300000

320000

340000

360000

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1

2007 2008 2009

Period

Tota

l Dep

loym

ent

-300

-200

-100

00

100

200

300

400

500

600

Grow

th R

ate (

Y-O-

Y)

Total number of deployed OFWS increased in 2008 but growth rate (y-o-y) declined during the 2H of 2008

Source POEA

RELEVANT TRANSMISSION CHANNELS FOR THE PHILIPPINES

1 Overseas Employment and Remittance

2 Local EmploymentA Entrepreneurial ActivitiesB Wage Earners and Salaried Workers

DATA FROM CBMS

1 Outcome Indicators (Overseas Employment and Remittances Local Employment)

2 Impact Indicators (CBMS Core Indicators)3 Indicators of Coping Mechanisms (Expenses

on Food Utilities Education Health Transportation Communication and Recreation Sale and pawning of assets Borrowing money Seeking additional source of

income)4 Access to Programs

COVERAGE

No Barangay MunicipalityCity Province No of HHs1 Brgy 192 Pasay City NCR 8562 Poblacion III Sto Tomas Batangas 4663 Villa Angeles Orion Bataan 3544 Salvacion Puerto Princesa City Palawan 2375 Masikap Puerto Princesa City Palawan 2276 Gumamela Labo Camarines Norte 4327 San Vicente Santa Elena Camarines Norte 2258 Ando Borongan Eastern Samar 1749 San Miguel Llorente Eastern Samar 269

10 Magbangon Cabucgayan Biliran 259

Population of 15161 in 3499 households in 10 barangays

Italy71

Saudi Arabia250

USA143

Qatar107

UK107

Others321

Many of the retrenched workers used to work in private households health and social work and manufacturing sectors

RESULTS On Overseas Employment and RemittancesA Returning OFWs because of Retrenchment (By Country)

CountryNo of OFWs

Saudi Arabia 7USA 4Qatar 3UK 3Italy 2Others 9Total 28

Source CBMS Survey 2009

RESULTS On Overseas Employment and RemittancesB Wage Reduction among OFWs (By Country)

Qatar71

Singapore48

DPRK48

Saudi Arabia381

Others191

Unspecified71

USA95

Hong Kong SAR95

Most common reasons for wage reduction is reduction in working hours firm cutting costs and firm ncurring losses

Country No of OFWs

Saudi Arabia 16USA 4Hong Kong SAR 4Qatar 3Singapore 2DPRK 2Others 8Unspecified 3Total 42

Source CBMS Survey 2009

RESULTS On Local Employment

A Opening of New Business and Closing of Existing Business

Entrepreneurial Activities

Source CBMS Survey 2009

Indicator Magnitude Proportion

HHs engaged in new entrepreneurial activity 75 21

HHs engaged in an entrepreneurial activity 1817 519

HHs which closed a business 19 10

RESULTS On Local EmploymentB Change in the Number of Employed Persons and Amount of Monthly Income from the Business

Source CBMS Survey 2009

Indicator Magnitude Proportion

HHs with significant change in the monthly income from the business 158 87

Increase 33 209Decrease 125 791

HHs with significant change in the no of employed persons in the business 6 03

Increase 3 50Decrease 3 50

RESULTS On Local EmploymentA Loss of Job By Sector

19 of those in the labor force lost their jobs

One fifth of the affected individuals used to work in the manufacturing industry

There was no reported job loss linked to the agricultural sector

Source CBMS Survey 2009

Industry No Manufacturing 22 202Private households with employed person 15 138Education 12 110Other community social and personal service activities 9 83Wholesale amp retail trade repair of motor vehicles 8 73Hotels and restaurants

8 73Transport storage and communication 7 64Public administration and defense compulsory social security 7 64Financial intermediation 5 46Health and social work

4 37Construction 4 37Electricity gas and water supply 3 28Mining and quarrying 2 18Real estate renting and business activities

2 18Extra-territorial organizations and bodies 1 09Total 109 1000

RESULTS On Local EmploymentB Reduction in wage Number of Working Hours and Employment Benefits

With Wage Reduction

With Reduced Working Hours

With Reduced Benefits

No of Employed Persons

No No No Male 3155 47 15 37 12 5 016Female 1891 36 19 36 19 3 016Total 5046 83 16 73 14 8 016

Source CBMS Survey 2009

Almost half of those workers who experienced wage reduction are employed as plant and machine operators and assemblers About 20 are service workers and shop amp market sales workers

Generating Panel Data Using CBMSDefinition of same household over time

In CBMS a household in 1st round is the same with the household in the 2nd round if it has at least one common member in both the survey periods living in the dwelling unit for the specified time

What is the main purpose of Panel Data

bullHelpful in monitoring the status of each household over time through analysis of several phenomena such as dimensions of poverty

RESULTS Panel Data13+1 Core Indicators Brgy 192 Pasay City 2005 and 2009

Source CBMS Survey 2009

C B M S C o r e I n d ic a t o r s 2 0 0 5 2 0 0 9 H e a lt h a n d N u t r i t io n P r o p o r t i o n o f c h il d r e n a g e d 0 - 4 y e a r s o l d w h o d i e d 0 0 0 0 P r o p o r t i o n o f w o m e n w h o d i e d d u e to p r e g n a n c y r e l a t e d c a u s e s 0 0 0 0 P r o p o r t i o n o f c h il d r e n a g e d 0 - 5 y e a r s o l d w h o a r e m a ln o u r is h e d 0 0 1 8 S h e l t e r P r o p o r t i o n o f h o u s e h o l d s li v in g i n m a k e s h if t h o u s in g 0 3 3 1 P r o p o r t i o n o f h o u s e h o l d s th a t a r e s q u a t te r s b 0 0 4 3 2 W a t e r a n d S a n i ta t io n P r o p o r t i o n o f h o u s e h o l d s w i th o u t a c c e s s to s a fe w a t e r s u p p l y 3 7 0 6 P r o p o r t i o n o f h o u s e h o l d s w i th o u t a c c e s s to s a n it a r y t o i le t f a c i li t i e s 0 0 0 0 E d u c a t io n P r o p o r t i o n o f c h il d r e n a g e d 6 - 1 2 y e a r s o l d w h o a r e n o t a t t e n d i n g e le m e n ta r y s c h o o l 1 2 8 1 9 1

P r o p o r t i o n o f c h il d r e n a g e d 1 3 - 1 6 y e a r s o ld w h o a re n o t a t t e n d i n g s e c o n d a r y s c h o o l 2 3 3 2 3 8

In c o m e P r o p o r t i o n o f h o u s e h o l d s w i th i n c o m e b e lo w th e p o v e r t y th r e s h o ld 8 3 9 9 P r o p o r t i o n o f h o u s e h o l d s w i th i n c o m e b e lo w th e f o o d (s u b s i s te n c e ) t h r e s h o ld 2 2 2 8

P r o p o r t i o n o f h o u s e h o l d s th a t e x p e r i e n c e d f o o d s h o r ta g e 0 6 1 5 E m p lo y m e n t P r o p o r t i o n o f p e r s o n s w h o a r e u n e m p lo y e d 1 7 5 1 2 6 P e a c e a n d O r d e r P r o p o r t i o n o f p e r s o n s w h o w e r e v i c t im s o f c ri m e s 0 0 0 4

fo r

83 (2005)

Proportion of households with income below the poverty threshold 99 (2009)

RESULTS Coping Strategies

Seeking Additional Source of Income

The most common coping strategies adopted by the households is trying to look for work Having a secondary job was also commonly adopted coping mechanism among households surveyed

Source CBMS Survey 2009

TotalCoping Strategies Magnitude ProportionLooked for additional work 219 63Did additional work 167 48Employed members not previously working 65 19Looked for work abroad 53 15

RESULTS Coping Strategies

Tapping various fund sources

The most common coping strategies adopted by the households is borrowing money

Source CBMS Survey 2009

TotalCoping Strategies Magnitude Proportion

Borrowed money 1401 400Used savings 455 130Sold assets 68 19Pawned assets 166 47

No No No No Members who are studying used second-hand uniformshoes 212 508 120 12 246 272 578 165Reduced allowance for members who are studying 104 249 123 123 201 222 428 122Members who are studying used second-hand books 147 353 115 115 159 176 421 120Withdrawn children from school 5 12 21 21 35 39 61 17Shifted from private vehicleschool bus to commuting 11 26 34 34 12 13 61 17Others 8 19 12 12 13 14 33 09Transferred children from private school to public school 8 19 21 21 3 03 32 09Members who are studying skipped classes 5 12 6 06 13 14 24 07Transferred children from daycare to homecare 0 0 5 05 2 02 7 02

TotalCoping Strategies Urban NCR Urban Outside NCR Rural

RESULTS Coping StrategiesEducation

Source CBMS Survey 2009

Most common strategies adopted

2 Reduced allowance400 (122)

3 Second-hand books336 (120)

1 Hand-me-down uniforms496 (18)

RESULTS Coping Strategies

A Shifting of Children from Private School to Public School

About 08 of students who were studying in a private school in the past school year moved to a public school in the coming school year (ie 2009-10)

No of Students

No of Children who Shifted from Private to Public

School Male 2234 18 08Female 2074 15 07Total 3974 33 08Source CBMS Survey 2009

RESULTS Coping Strategies

B Withdrawal of Children from School

No of Students

No of Withdrawn Children

Male 2273 39 17Female 2094 20 10Total 4368 59 14

About 14 of students who were studying were withdrawn from school in the coming school year (ie 2009-10)

Including those who are withdrawn in the coming school yearSource CBMS Survey 2009

RESULTS Coping StrategiesHealth

Source CBMS Survey 2009

Number PercentShifted to generic drugscheaper drug brands 1184 338Used medicinal plantsherbal medicines 995 284Shifted to government health centers and hospitals 760 217Resorted to self-medication 710 203Shifted to alternative medicine 445 127Lessened the availment of medical treatment for any illness 183 52Reduced prescribed drug intake 176 50Did not buy medicine 172 49Did not seek medical treatment for any illness 153 44Discontinued intake of prescribed medicine 94 27Others 62 18

RESULTS Access to Programs

Some government programs

Comprehensive Livelihood and Emergency Employment Programs (CLEEP)

Pantawid Pamilyang Pilipino Program (conditional cash transfer)

NFA Rice access program (price subsidy)

Self-Employment Assistance-Kaunlaran(SEA-K) (credit)

Philhealth Sponsored Programs (health insurance)

RESULTS Access to ProgramsA Access to NFA Rice Program

Source CBMS Survey 2009

Not all HHs in the lowest income quintile were able to access the program Yet there were households in the richest quintile who were able to benefit from the program

Income Quintile Magnitude

of HHs in the Income Quintile who were able to

access1 482 6892 375 5363 258 3694 165 2365 87 124

Total 1367 391

RESULTS Access to NFA Rice Program

Source Authorsrsquo calculations

489 of all households who access the program are considered non-poor 356 of

poor households were not able to access the program

SITE LEAKAGE RATE EXCLUSION RATEALL SITES 489 356Rural 388 228Urban NCR 878 446Urban Area Outside NCR 416 479

CONCLUSION AND RECOMMENDATIONS

GOOD NEWS

The impact was not as large as initially anticipated Modest increase in poverty is expected from the GFC

BAD NEWS

Coupled with the impact of rice and fuel price shocks in 2008 and the recent natural calamities povertyincidence is expected to go up significantly in 2009Rice prices have not gone down to pre-price shock levels Fuel prices have declined since the peak in 2008 but have started to go up again

CONCLUSION AND RECOMMENDATIONS

In response to the crisis households adoptedvarious coping strategies some of which may have long-term adverse effects in the long-run

Preliminary results on access to government programs suggest the need to improve program design and targeting efficiency

Need to put in place local monitoring system to provide basis for timely response

Implications on achieving the MDGs

Results imply greater challenges to reach some of the MDGs

Goal 1Halve income poverty by 2015Achieve full employmentHalve the proportion of people who suffer from hunger

Goal 2 ndash Achieve universal access to educationGoal 3 ndash Promote gender equalityGoal 4 ndash Reduce child mortality

Next steps Collaboration

PEP collaboration with UNESCAP and other UN agenciesbull What are the potential areas of common interestbull Involvement through other existing networks such as ARTNeT and

the Social Protection in Asia networkbull Involvement of UN Commissions in PEP conferences (eg

ECAAddis) PEP studies on crisis to be completed and presentedin Dakar on June 12-18

bull Conference in September on the impacts of the GFC implications and future priorities

Other potential collaborationMDG monitoringMacroeconomic policyRisk mitigation and social protection Labour markets and MigrationFiscal Policy and Accountability

Next steps Collaboration

Feeding evidence to policymakers in Asia ndash example evaluation of conditional cash transfersResearch to Policy and Practice (R2PP)

Learning from best practice and sharing of experiences eg Vietnamese Economics Research Network and ECNABuilding capacity for communicating research results to policy makers

Research Networks as Platforms for collaborationSocial Protection in AsiaARTNeTPEPDevelopment Analysis Network in the GMSEnvironmental Economics Program in South East AsiaLIRNE AsiaGlobal Development Network EADN

Next steps Collaboration

Other institutional platforms for joint cooperationASEAN APEC on regional integrationGMSSAARCERIA ADBI Policy Research Institutions Tsinghua LKY UNU-WIDER

Other Suggestions

Thank YouDr W R Spence

Economic and Social Development Affiliatesrspencegmailcom

Dr Celia ReyesPEPshyCBMS Network Office (Asia)

Angelo King Institute for Economic and Business StudiesEmail at reyescdlsshycsbeduphWebsite wwwpepshynetorg

Dr Evan DueInternational Development Research Centre

edueidrcorgsg

  • ANALYZING AND MONITORING THE IMPACT OF THE GLOBAL FINANCIAL CRISIS
  • Outline of Presentation
  • PEP Vision and Objectives
  • PEP A decade of policy research and development
  • Research Themes
  • Research Themes
  • PEP Network
  • MPIA Crisis Impact Studies
  • MPIA Crisis Impact Studies - Preliminary results
  • KEY FEATURES OF CBMS
  • USES OF CBMS
  • CBMS Coverage
  • Monitoring the Impact of the crisis using CBMS
  • OBJECTIVES OF THE STUDY
  • Why use CBMS
  • TREND IN GDP
  • TREND IN EXPORTS
  • TREND IN UNEMPLOYMENT RATE
  • TREND IN LABOR TURNOVER RATES
  • TREND IN OFW REMITTANCES
  • TREND IN OFW DEPLOYMENT
  • RELEVANT TRANSMISSION CHANNELS FOR THE PHILIPPINES
  • DATA FROM CBMS
  • COVERAGE
  • RESULTS On Overseas Employment and Remittances
  • RESULTS On Overseas Employment and Remittances
  • RESULTS On Local Employment
  • RESULTS On Local Employment
  • RESULTS On Local Employment
  • RESULTS On Local Employment
  • Generating Panel Data Using CBMS
  • RESULTS Panel Data
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Access to Programs
  • RESULTS Access to Programs
  • RESULTS Access to NFA Rice Program
  • CONCLUSION AND RECOMMENDATIONS
  • CONCLUSION AND RECOMMENDATIONS
  • Implications on achieving the MDGs
  • Next steps Collaboration
  • Next steps Collaboration
  • Next steps Collaboration
  • Thank You
    • ANALYZING AND MONITORING THE IMPACT OF THE GLOBAL FINANCIAL CRISIS

      William Randall Spence

      Evan Due

      Celia Reyes

      Outline of Presentation

      What is PEP

      Modeling and Policy Impact Analysis (MPIA) Studies of Crisis Impacts

      Community Based Monitoring Systems (CBMS) Study of Crisis Impacts Coping Mechanisms and Government responses in the Philippines

      Next Steps

      PEP Vision and Objectives

      Vision

      PEP is a global network of developing country researchers with the skills and reputation to participate in and influence national and international academic and policy debates on poverty issues

      Objectives

      Better understand the causes and consequences of poverty

      Propose pro-poor policies and programs

      Improve the measurement and monitoring of poverty

      Strengthen local research capacity on poverty issues

      Develop new concepts and techniques for poverty analysis

      PEP A decade of policy research and development

      Engage a critical mass of researchers in developing countries

      Foster comparative analyses across countries and teams

      Provide systematic training and technical assistance

      Increase visibility dissemination and policy impact

      Interact and share knowledge with the other PEP programs and projects and with related national and international initiatives

      Comprised of 4 sub networks ndash MPIA PMMA CBMS and PIERI

      Number of projects ndash 111

      Research Themes

      MPIA

      Economic Growth

      Public Spending especially on education and health

      Sectoral policies particularly agriculture

      Poverty reduction policies

      Labor markets (migration education gender regulation)

      CBMS

      Poverty monitoring

      Targeting

      Gender responsive budgeting

      Local governance

      Localizing the MDGs

      Research Themes

      PMMA

      Multidimensional poverty analysis

      Public spending and its impact on poverty and equity

      Growth and poverty dynamics

      Policy impact analysis

      Intra-household allocation of well-being

      PIERI

      Education

      Health

      Social protection

      Financial Crisis Impacts

      CBMS MPIA PMMA

      PEP Network

      Core funders ndash IDRC CIDA AusAID

      Main partner institutions - AKI Philippines CRES Senegal GRADE in Peru Laval SANEM OPHI IFPRI

      Collaboration with the UN

      Support for CBMS implementation in the Philippines and Kenya

      CBMS-UNDP Development Grants

      Gender responsive budgeting with UNIFEM in Peru

      UNICEF commissioned study on the impact of GFC on child poverty

      Preparation of Provincial MDG reports for presentation in September 2010 meeting in New York

      MPIA Crisis Impact Studies

      CGE modelling integrated with household survey data microsimulation

      Transmission channels

      Trade Remittances Foreign direct investment Aid flows (Countercyclical fiscal policy)

      Household consumption and welfare fall particularly poor households Bangladesh

      Garment exports and manufacturing sector declined

      Decline in agricultural sector and overall GDP some expansion in total exports

      Poorer households appear to be the major victims

      MPIA Crisis Impact Studies - Preliminary results

      Pakistan

      Declines of FDI ( 28) foreign portfolio investment (128) exports (13) ODA (613)

      Sharp decline in development spending particularly health education population and social security serious challenges for MDG realization

      Export declines hit high income earners drop in ODA was harsh on the poor

      Philippines

      Garment exports and manufacturing sector declined

      Household consumption and welfare fall particularly poor households

      Decline in agricultural sector and overall GDP some expansion in total exports

      Poorer households appear to be the major victims

      KEY FEATURES OF CBMS

      Involves a census of all households in a community

      Local government unit (LGU)-based while promoting community participation

      Taps existing LGU-personnelcommunity members as monitors

      Establishes database at each geopolitical level

      Has a core set of indicators but system is flexible enough to accommodate additional indicators

      Frequent rapid quickly processed and available results

      Inexpensive and paid mostly by local governments (more advanced systems like Philippines)

      10

      National

      Provincial

      MunicipalCity

      Village

      Administrative Structure

      Information Availability

      CBMS can fill the gap

      National surveys

      CBMS

      Decentralization creates new information demands that may be best satisfied with CBMS

      11

      Survival

      Security

      Enabling

      Health

      Food amp Nutrition

      H20 amp Sanitation

      Shelter

      Peace amp Order

      Income

      Employment

      Education

      1 Child deaths (0-5 yrs old)

      2 Women deaths due to pregnancy

      -related causes

      3 Malnourished children (0-5 yrs old)

      4 HHs wo access to safe water

      5 HHs wo access sanitary toilet

      6 HHs who are squatters

      7 HHs living in makeshift housing

      8 HHs victimized by crimes

      9 HHs wincome below poverty threshold

      10 HHs wincome below food threshold

      11 HHs who experienced food shortage

      12 Unemployment

      13 Elementary school participation

      14 High school participation

      CBMS IndicatorsDimensions of PovertyCore Indicators

      CBMS Core Indicators

      12

      Harmonization of CBMS and the MDG

      By continuous consultation workshops and advocacy with national agencies and local governments 13 core indictors were established and finalized for national and local monitoring purposes With the inclusion of the indicator on maternal deaths the CBMS core indicator was adopted as the set of core indicators for the MDG localization here in the Philippines

      The core indicators are categorized under the 8 major dimensions of poverty such as health food and nutrition water and sanitation shelter peace and order income employment and education These are set of poverty measurements which are in turn classified as survival security and enabling needs LGUs may add other indicators or use proxy indicators to monitor area-specific concerns

      Uses of CBMS

      Empowers community by building its capacity to participate in diagnosing the problem offering solutions and monitoring the impact of these solutions

      Enriches existing databases both at the local and national levels

      Enhances the preparation of socioeconomic profiles as well as development and investment plans

      Improves the allocation of resources by making it easier to prioritize interventions based on the local poverty diagnosis

      Increases equity in resource allocation between communities and households as well as between men and women

      Helps to monitor the impact of projects and programs thus contributing to poverty reduction efforts

      Helps in analyzing the impact of economic shocks (eg price shocks and global crisis)

      13

      CBMS Coverage

      Asia

      Bangladesh

      Cambodia

      Indonesia

      Lao PDR

      Pakistan

      Philippines

      Vietnam

      Latin America

      Peru

      Africa

      Benin

      Burkina Faso

      Ghana

      Kenya

      Nigeria

      Senegal

      Tanzania

      Zambia

      2212010

      15

      Malnourished Children 0-5 years old by regions

      2212010

      16

      Proportion of children aged 0-5 years old who are malnourished by municipality

      Province of Marinduque 2005

      Source CBMS Survey 2005

      Proportion of children aged 0-5 years old who are malnourished by barangay

      Province of Marinduque 2005

      Source CBMS Survey 2005

      2212010

      18

      Proportion of children aged 0-5 years old who are malnourished by purok and location of households

      Municipality of Torrijos Marinduque 2005

      Source CBMS Survey 2005

      Monitoring the Impact of the crisis using CBMS

      Objectives

      Why use CBMS

      Impact of the Global Financial Crisis

      Mitigation Programs

      Conclusion and Recommendations

      19

      OBJECTIVES OF THE STUDY

      To monitor the impact of the global financial and economic crisis on poverty in the Philippines

      To identify coping strategies of households

      To determine who benefits from government programs aimed at mitigating the impact of the crisis

      To provide inputs to policymakers in prioritizing mitigating measures to address the impact of the crisis on poverty

      Why use CBMS

      Data from existing surveys are too aggregated

      Surveys on poverty are conducted too infrequently ndash data when they become available cannot be used as basis for timely response

      Absence of data on coping strategies of households

      Lack of data on access to government programs

      TREND IN GDP

      Decreasing trend in GDP growth starting Q3 of 2007

      Source NSCB

      TREND IN EXPORTS

      There is an increasing trend in volume of exports starting March 2009 but year-on-year growth is still in negative territory

      Source NSO

      TREND IN UNEMPLOYMENT RATE

      uarr in unemployment rate by 03 percentage points in January 2009 (y-o-y)

      uarr in unemployment rate by 02 percentage points in July 2009 (y-o-y)

      Source NSO

      TREND IN LABOR TURNOVER RATES

      All Sectors

      Manufacturing

      Labor turnover rate for all sectors started to decline in Q2 of 2008 with the manufacturing sector posting negative turnover rate in Q1 of 2009

      Source BLES

      TREND IN OFW REMITTANCES

      OFW remittances continue to exhibit general upward trend but year-on-year growth rates had slumped compared to previous years

      Source BSP

      TREND IN OFW DEPLOYMENT

      Total number of deployed OFWS increased in 2008 but growth rate (y-o-y) declined during the 2H of 2008

      Source POEA

      RELEVANT TRANSMISSION CHANNELS FOR THE PHILIPPINES

      Overseas Employment and Remittance

      Local Employment

      A Entrepreneurial Activities

      B Wage Earners and Salaried Workers

      28

      DATA FROM CBMS

      Outcome Indicators (Overseas Employment and Remittances Local Employment)

      Impact Indicators (CBMS Core Indicators)

      Indicators of Coping Mechanisms (Expenses on Food Utilities Education Health Transportation Communication and Recreation Sale and pawning of assets Borrowing money Seeking additional source of income)

      Access to Programs

      29

      COVERAGE

      Population of 15161 in 3499 households in 10 barangays

      30

      RESULTS On Overseas Employment and Remittances

      A Returning OFWs because of Retrenchment (By Country)

      Many of the retrenched workers used to work in private households health and social work and manufacturing sectors

      Source CBMS Survey 2009

      31

      Most of the retrenched workers used to work in private households health and social work and manufacturing sectors

      RESULTS On Overseas Employment and Remittances

      B Wage Reduction among OFWs (By Country)

      Most common reasons for wage reduction is reduction in working hours firm cutting costs and firm ncurring losses

      Source CBMS Survey 2009

      32

      Most of the affected OFWs are working as service workers and shop and market sales workers

      The most common reason reported for the reduction in wage is the reduction in working hours firms cutting costs and firms incurring losses

      RESULTS On Local Employment

      A Opening of New Business and Closing of Existing Business

      Entrepreneurial Activities

      Source CBMS Survey 2009

      33

      RESULTS On Local Employment

      B Change in the Number of Employed Persons and Amount of Monthly Income from the Business

      Source CBMS Survey 2009

      34

      RESULTS On Local Employment

      A Loss of Job By Sector

      19 of those in the labor force lost their jobs

      One fifth of the affected individuals used to work in the manufacturing industry

      There was no reported job loss linked to the agricultural sector

      Source CBMS Survey 2009

      35

      RESULTS On Local Employment

      B Reduction in wage Number of Working Hours and Employment Benefits

      Source CBMS Survey 2009

      Almost half of those workers who experienced wage reduction are employed as plant and machine operators and assemblers About 20 are service workers and shop amp market sales workers

      36

      Generating Panel Data Using CBMS

      Definition of same household over time

      In CBMS a household in 1st round is the same with the household in the 2nd round if it has at least one common member in both the survey periods living in the dwelling unit for the specified time

      What is the main purpose of Panel Data

      Helpful in monitoring the status of each household over time through analysis of several phenomena such as dimensions of poverty

      37

      RESULTS Panel Data

      13+1 Core Indicators Brgy 192 Pasay City 2005 and 2009

      Source CBMS Survey 2009

      83 (2005)

      Proportion of households with income below the poverty threshold

      99 (2009)

      38

      RESULTS Coping Strategies

      Seeking Additional Source of Income

      The most common coping strategies adopted by the households is trying to look for work Having a secondary job was also commonly adopted coping mechanism among households surveyed

      Source CBMS Survey 2009

      39

      RESULTS Coping Strategies

      Tapping various fund sources

      The most common coping strategies adopted by the households is borrowing money

      Source CBMS Survey 2009

      40

      RESULTS Coping Strategies

      Education

      Source CBMS Survey 2009

      Most common strategies adopted

      2 Reduced allowance

      400 (122)

      3 Second-hand books

      336 (120)

      1 Hand-me-down uniforms

      496 (18)

      41

      RESULTS Coping Strategies

      A Shifting of Children from Private School to Public School

      About 08 of students who were studying in a private school in the past school year moved to a public school in the coming school year (ie 2009-10)

      Source CBMS Survey 2009

      42

      RESULTS Coping Strategies

      B Withdrawal of Children from School

      About 14 of students who were studying were withdrawn from school in the coming school year (ie 2009-10)

      Including those who are withdrawn in the coming school year

      Source CBMS Survey 2009

      43

      RESULTS Coping Strategies

      Health

      Source CBMS Survey 2009

      44

      RESULTS Access to Programs

      Some government programs

      Comprehensive Livelihood and Emergency Employment Programs (CLEEP)

      Pantawid Pamilyang Pilipino Program (conditional cash transfer)

      NFA Rice access program (price subsidy)

      Self-Employment Assistance-Kaunlaran

      (SEA-K) (credit)

      Philhealth Sponsored Programs (health insurance)

      45

      RESULTS Access to Programs

      A Access to NFA Rice Program

      Source CBMS Survey 2009

      Not all HHs in the lowest income quintile were able to access the program Yet there were households in the richest quintile who were able to benefit from the program

      46

      RESULTS Access to NFA Rice Program

      Source Authorsrsquo calculations

      489 of all households who access the program are considered non-poor

      356 of poor households were not able to access the program

      47

      CONCLUSION AND RECOMMENDATIONS

      GOOD NEWS

      The impact was not as large as initially anticipated Modest increase in poverty is expected from the GFC

      BAD NEWS

      Coupled with the impact of rice and fuel price shocks in 2008 and the recent natural calamities poverty

      incidence is expected to go up significantly in 2009

      Rice prices have not gone down to pre-price shock levels Fuel prices have declined since the peak in 2008 but have started to go up again

      48

      CONCLUSION AND RECOMMENDATIONS

      In response to the crisis households adopted

      various coping strategies some of which may

      have long-term adverse effects in the long-run

      Preliminary results on access to government programs suggest the need to improve program design and targeting efficiency

      Need to put in place local monitoring system to provide basis for timely response

      49

      Implications on achieving the MDGs

      Results imply greater challenges to reach some of the MDGs

      Goal 1

      Halve income poverty by 2015

      Achieve full employment

      Halve the proportion of people who suffer from hunger

      Goal 2 ndash Achieve universal access to education

      Goal 3 ndash Promote gender equality

      Goal 4 ndash Reduce child mortality

      Next steps Collaboration

      PEP collaboration with UNESCAP and other UN agencies

      What are the potential areas of common interest

      Involvement through other existing networks such as ARTNeT and the Social Protection in Asia network

      Involvement of UN Commissions in PEP conferences (eg ECAAddis) PEP studies on crisis to be completed and presented in Dakar on June 12-18

      Conference in September on the impacts of the GFC implications and future priorities

      Other potential collaboration

      MDG monitoring

      Macroeconomic policy

      Risk mitigation and social protection

      Labour markets and Migration

      Fiscal Policy and Accountability

      Next steps Collaboration

      Feeding evidence to policymakers in Asia ndash example evaluation of conditional cash transfers

      Research to Policy and Practice (R2PP)

      Learning from best practice and sharing of experiences eg Vietnamese Economics Research Network and ECNA

      Building capacity for communicating research results to policy makers

      Research Networks as Platforms for collaboration

      Social Protection in Asia

      ARTNeT

      PEP

      Development Analysis Network in the GMS

      Environmental Economics Program in South East Asia

      LIRNE Asia

      Global Development Network EADN

      Next steps Collaboration

      Other institutional platforms for joint cooperation

      ASEAN APEC on regional integration

      GMS

      SAARC

      ERIA ADBI

      Policy Research Institutions Tsinghua LKY

      UNU-WIDER

      Other Suggestions

      Thank You

      Dr W R Spence

      Economic and Social Development Affiliates

      rspencegmailcom

      Dr Celia Reyes

      PEP-CBMS Network Office (Asia)

      Angelo King Institute for Economic and Business Studies

      Email at reyescdls-csbeduph

      Website

      Dr Evan Due

      International Development Research Centre

      edueidrcorgsg

      image2png

      image3png

      image4wmf

      I

      I

      C

      A

      R

      I

      I

      I

      I

      I

      V

      -

      B

      I

      V

      -

      A

      V

      V

      I

      I

      I

      V

      I

      V

      I

      I

      X

      C

      A

      R

      A

      G

      A

      X

      I

      I

      X

      A

      R

      M

      M

      X

      I

      I

      N

      C

      R

      1

      6

      6

      2

      9

      8

      3

      4

      1

      2

      2

      6

      3

      5

      3

      2

      3

      5

      3

      2

      8

      3

      3

      0

      2

      9

      8

      3

      1

      4

      3

      1

      5

      2

      4

      9

      2

      2

      6

      3

      1

      2

      3

      2

      7

      3

      4

      0

      U

      n

      d

      e

      r

      w

      e

      i

      g

      h

      t

      c

      h

      i

      l

      d

      r

      e

      n

      0

      -

      5

      y

      e

      a

      r

      s

      o

      l

      d

      0

      -

      2

      0

      (

      S

      i

      g

      n

      i

      f

      i

      c

      a

      n

      t

      l

      y

      b

      e

      l

      o

      w

      a

      v

      e

      r

      a

      g

      e

      )

      2

      0

      1

      -

      2

      7

      6

      (

      B

      e

      l

      o

      w

      a

      v

      e

      r

      a

      g

      e

      )

      2

      7

      7

      -

      3

      3

      (

      A

      b

      o

      v

      e

      a

      v

      e

      r

      a

      g

      e

      )

      3

      3

      1

      -

      1

      0

      0

      (

      S

      i

      g

      n

      i

      f

      i

      c

      a

      n

      t

      l

      y

      a

      b

      o

      v

      e

      a

      v

      e

      r

      a

      g

      e

      )

      S

      o

      u

      r

      c

      e

      F

      N

      R

      I

      N

      N

      S

      2

      0

      0

      3

      N

      image5png

      image6png

      image7png

      image8png

      image9png

      image10png

      image11emf

      Growth in Real GDP 2004-2009

      00

      20

      40

      60

      80

      100

      Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3

      200420052006200720082009

      Period

      Growth Rate ()

      Microsoft_Office_Excel_97-2003_Worksheet1xls

      Chart1

      Period
      Growth Rate ()
      Growth in Real GDP 2004-2009
      71529376518
      70971917832
      56334090248
      57579353406
      45052369793
      51201849162
      46798602194
      54191318263
      5498076131
      52739168734
      51543573711
      54299165723
      68889919615
      83375916605
      68383428107
      63386321647
      39222542035
      41604513911
      45587676212
      28543926548
      0593589474
      14516133597
      07623973192

      return_count

      No of OFWs
      No of retrenched OFWs
      USA15
      UK 11
      7
      4
      3
      3
      2
      8

      Sheet1

      pasay_HHs_brgy

      retr_region

      No of OFWs
      15
      6
      5
      1

      Sheet5

      OFW_lost_occu

      OFW_lost_occu

      No of OFWs

      RW_OFW

      RW_OFW

      No of OFWs
      Qatar71
      Singapore48
      DPRK48
      Saudi Arabia381
      Others191
      Unspecified71
      USA95
      Hong Kong SAR95

      ret_country

      No of OFWs
      Male76
      Female24

      lostjob_dom

      No

      gdp (3)

      gdp (3)

      Retrenched OFWs
      Retrenched OFWs

      losjob_industry

      lost_job_code

      lost_job_code

      Period
      Growth Rate ()
      Growth in Real GDP 2004-2009

      retren_industry

      access to programs

      access to programs

      Magnitude

      RH_dom

      RH_dom

      No

      Sheet4

      RW_dom

      red_benf

      coping

      sum

      gdp (2)

      Sheet7

      lostjob

      lostjob

      Real GDP
      Period
      Amount in billion pesos
      Real GDP 2003-2009

      gdp

      privtopub

      withSY

      Chart1_turnover

      turnover

      ret_region

      All Sectors
      Manufacturing
      156
      -046
      357
      03
      331
      -008
      287
      081
      476
      386
      199
      0
      205
      -037
      069
      01
      027
      -138
      221
      224

      access to programs (2)

      image12emf

      Levels and Growth Rates of Exports 2007-2009

      2000

      2500

      3000

      3500

      4000

      4500

      5000

      Jan

      Feb

      Mar

      Apr

      May

      Jun

      Jul

      Aug

      Sep

      Oct

      NovDec

      Jan

      Feb

      Mar

      Apr

      May

      Jun

      Jul

      Aug

      Sep

      Oct

      NovDec

      Jan

      Feb

      Mar

      Apr

      May

      Jun

      Jul

      Aug

      Sep

      200720082009

      FOB value (in million US dollars)

      -50

      -40

      -30

      -20

      -10

      0

      10

      20

      30

      Growth rate year-on-year ()

      Microsoft_Office_Excel_97-2003_Worksheet2xls

      Chart4

      FOB Value
      Growth rate year-on-year
      FOB value (in million US dollars)
      Growth rate year-on-year ()
      Levels and Growth Rates of Exports 2007-2009
      398694
      218
      371731
      78
      447754
      73
      411732
      51
      412164
      61
      411669
      15
      418799
      43
      410407
      -4
      437254
      46
      464836
      105
      39475
      -21
      447244
      214
      423056
      6
      411201
      105
      419313
      -66
      432472
      49
      422412
      23
      451341
      88
      443723
      44
      439296
      66
      443865
      11
      397104
      -148
      351297
      -114
      267458
      -403
      251119
      -406
      250629
      -391
      290673
      -308
      280311
      -352
      308786
      -269
      34063
      -248
      331077
      -254
      347289
      -21
      363398
      -183

      Sheet1

      Sheet1

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      0
      0
      1

      Sheet2

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances

      Sheet3

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances

      Sheet4

      Sheet5

      Sheet6

      Sheet6

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      10994
      1264036
      1
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      Unemployment Rate
      Period
      Unemployment Rate ()
      Unemployment (2004-2009)

      image13emf

      Unemployment 2007-2009

      60

      65

      70

      75

      80

      85

      JanAprJulOctJanAprJulOctJanAprJul

      200720082009

      Period

      Unemployment Rate ()

      Microsoft_Office_Excel_97-2003_Worksheet3xls

      Chart1

      Period
      Unemployment Rate ()
      Unemployment 2007-2009
      78
      74
      78
      63
      74
      8
      74
      68
      77
      75
      76

      Sheet1

      Sheet1

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      0
      0
      1

      Sheet2

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances

      Sheet3

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances

      Sheet4

      Sheet5

      Sheet6

      Sheet6

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      10994
      1264036
      1
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      Unemployment Rate
      Period
      Unemployment Rate ()
      Unemployment (2004-2009)
      Period
      Unemployment Rate ()
      Unemployment 2007-2009

      image14emf

      Labor Turnover 2007-2009

      -20

      -10

      00

      10

      20

      30

      40

      50

      60

      Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2

      200720082009

      Microsoft_Office_Excel_97-2003_Worksheet4xls

      return_count

      No of OFWs
      No of retrenched OFWs
      USA15
      UK 11
      7
      4
      3
      3
      2
      8

      Sheet1

      pasay_HHs_brgy

      retr_region

      No of OFWs
      15
      6
      5
      1

      Sheet5

      OFW_lost_occu

      OFW_lost_occu

      No of OFWs
      9
      5
      5
      3
      5

      RW_OFW

      RW_OFW

      No of OFWs
      Qatar71
      Singapore48
      DPRK48
      Saudi Arabia381
      Others191
      Unspecified71
      USA95
      Hong Kong SAR95
      16
      4
      4
      3
      2
      2
      8
      3

      ret_country

      No of OFWs
      Male76
      Female24
      32
      10

      lostjob_dom

      No
      13
      6
      6
      6
      5
      6

      gdp (3)

      gdp (3)

      Retrenched OFWs
      Retrenched OFWs
      19
      8

      losjob_industry

      lost_job_code

      lost_job_code

      Growth Rate
      Period
      Growth Rate ()
      Growth in Real GDP 2004-2009
      71529376518
      70971917832
      56334090248
      57579353406
      45052369793
      51201849162
      46798602194
      54191318263
      5498076131
      52739168734
      51543573711
      54299165723
      68889919615
      83375916605
      68383428107
      63386321647
      39222542035
      41604513911
      45587676212
      28543926548
      0593589474
      14516133597

      retren_industry

      access to programs

      access to programs

      Magnitude

      RH_dom

      RH_dom

      No
      6
      5
      4
      3
      3
      2
      4

      Sheet4

      RW_dom

      red_benf

      coping

      sum

      gdp (2)

      Sheet7

      lostjob

      lostjob

      Real GDP
      Period
      Amount in billion pesos
      Real GDP 2003-2009
      253672
      264189
      264671
      302539
      271817
      282939
      279581
      319959
      284063
      297426
      292665
      337298
      299681
      313112
      30775
      355613
      320326
      339218
      328795
      378154
      33289
      353331
      343784
      388948
      334866
      35846

      gdp

      privtopub

      withSY

      Chart1_turnover

      turnover

      ret_region

      All Sectors
      Manufacturing
      Labor turnover rates ()
      Labor Turnover 2007-2009
      156
      -046
      357
      03
      331
      -008
      287
      081
      476
      386
      199
      0
      205
      -037
      069
      01
      027
      -138
      221
      224

      access to programs (2)

      image15emf

      Levels and Growth Rates of Overseas Filipinos Remittances (2007-2009)

      1000

      1100

      1200

      1300

      1400

      1500

      1600

      Jan

      Fe

      MaAprMa

      Jun

      Jul

      Au

      Se

      Oct

      NoDe

      Jan

      Fe

      MaAprMa

      Jun

      Jul

      Au

      Se

      Oct

      NoDe

      Jan

      Fe

      MaAprMa

      Jun

      Jul

      Au

      Se

      200720082009

      Period

      Amount (in million USD)

      0

      5

      10

      15

      20

      25

      30

      35

      Growth Rate ()

      Amount

      Growth

      rate year-

      on-year

      Microsoft_Office_Excel_97-2003_Worksheet5xls

      Chart5

      Amount
      Growth rate year-on-year
      Period
      Amount (in million USD)
      Growth Rate ()
      Levels and Growth Rates of Overseas Filipinos Remittances (2007-2009)
      10994
      199
      10855
      254
      13048
      264
      119154
      326
      123714
      84
      1115753
      1
      1096558
      46
      1206942
      106
      1139845
      124
      1388459
      171
      118697
      38
      1396976
      59
      1264036
      15
      1258638
      159
      1427807
      94
      141021
      184
      1429832
      156
      1450838
      30
      1366796
      246
      1332023
      104
      1332912
      169
      1434726
      33
      1311322
      105
      14077
      08
      1265515
      01
      1320032
      49
      1471482
      31
      1441741
      22
      1482175
      37
      1498737
      33
      1494038
      93
      1369084
      28
      1447
      86

      Sheet1

      Sheet1

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      10994
      1264036
      1

      Sheet2

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances
      10994
      199
      10855
      254
      13048
      264
      119154
      326
      123714
      84
      1115753
      1
      1096558
      46
      1206942
      106
      1139845
      124
      1388459
      171
      118697
      38
      1396976
      59
      1264036
      15
      1258638
      159
      1427807
      94
      141021
      184
      1429832
      156
      1450838
      30
      1366796
      246
      1332023
      104
      1332912
      169
      1434726
      33
      1311322
      105
      14077
      08
      1265515
      01
      1320032
      49
      1471482
      31
      1441741
      22
      1482175
      37
      1498737
      33
      1494038
      93
      1369084
      28

      Sheet3

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances
      10994
      199
      10855
      254
      13048
      264
      119154
      326
      123714
      84
      1115753
      1
      1096558
      46
      1206942
      106
      1139845
      124
      1388459
      171
      118697
      38
      1396976
      59
      1264036
      15
      1258638
      159
      1427807
      94
      141021
      184
      1429832
      156
      1450838
      30
      1366796
      246
      1332023
      104
      1332912
      169
      1434726
      33
      1311322
      105
      14077
      08
      1265515
      01
      1320032
      49
      1471482
      31
      1441741
      22
      1482175
      37
      1498737
      33
      1494038
      93
      1369084
      28
      1447
      86

      Sheet4

      Sheet5

      Sheet6

      Sheet6

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      10994
      1264036
      1
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      FOB Value
      Growth rate year-on-year
      Unemployment Rate

      image16emf

      OFW Deployment 2007-2009

      200000

      220000

      240000

      260000

      280000

      300000

      320000

      340000

      360000

      Q1Q2Q3Q4Q1Q2Q3Q4Q1

      200720082009

      Period

      Total Deployment

      -300

      -200

      -100

      00

      100

      200

      300

      400

      500

      600

      Growth Rate (Y-O-Y)

      Microsoft_Office_Excel_97-2003_Worksheet6xls

      monthly total

      monthly total

      New hires
      15592
      24125
      28212
      19947
      25864
      24320
      32275
      27012
      33009
      26967
      28569
      27368
      19202
      28982
      19140
      27651
      35935
      38535
      38075
      30389
      40062
      34662
      34238
      30102

      Sheet2

      2007 - Total
      2008 - Total
      2007 - Landbased
      2008 - Landbased
      2007 - New hires
      2008 - New hires
      2007 - Rehires
      2008 - Rehires
      2007 - Seabased
      2008 - Seabased
      69409
      106053
      51892
      87841
      15592
      19202
      36300
      68639
      17517
      18212
      65359
      86181
      46311
      64644
      24125
      28982
      22186
      35662
      19048
      21537
      80015
      61979
      58069
      43921
      28212
      19140
      29857
      24781
      21946
      18058
      78493
      94747
      57085
      74446
      19947
      27651
      37138
      46795
      21408
      20301
      89500
      125919
      66918
      103434
      25864
      35935
      41054
      67499
      22582
      22485
      96948
      123483
      77403
      100617
      24320
      38535
      53083
      62082
      19545
      22866
      114720
      118185
      89942
      93891
      32275
      38075
      57667
      55816
      24778
      24294
      105492
      117712
      81716
      95019
      27012
      30389
      54704
      64630
      23776
      22693
      98794
      112781
      74495
      89714
      33009
      40062
      41486
      49652
      24299
      23067
      89608
      102037
      65133
      78441
      26967
      34662
      38166
      43779
      24475
      23596
      93947
      100352
      66808
      74712
      28569
      34238
      38239
      40474
      27139
      25640
      95337
      86584
      75298
      67719
      27368
      30102
      47930
      37617
      20039
      18865

      Sheet3

      2006 - Total
      2007 - Total
      2008 - Total
      2006 - Landbased
      2007 - Landbased
      2008 - Landbased
      2006 - Seabased
      2007 - Seabased
      2008 - Seabased
      280605
      214783
      254213
      211279
      156272
      196406
      69326
      58511
      57807
      294783
      264942
      344149
      224683
      201406
      278497
      70100
      63536
      65652
      265788
      319006
      348678
      201998
      246153
      278624
      63790
      72853
      70054
      221391
      278892
      288973
      150110
      207239
      220872
      71281
      71653
      68101

      Chart1_deploy_2007-09

      Total Deployment
      69409
      65359
      80015
      78493
      89500
      96948
      114720
      105492
      98794
      89608
      93947
      95337
      106053
      86181
      61979
      94747
      125919
      123483
      118185
      117712
      112781
      102037
      100352
      86584

      Chart2_deploy_07-09

      07-09data

      07-09data

      New hires
      15592
      24125
      28212
      19947
      25864
      24320
      32275
      27012
      33009
      26967
      28569
      27368
      19202
      28982
      19140
      27651
      35935
      38535
      38075
      30389
      40062
      34662
      34238
      30102

      total deployment

      2006 - Total
      2007 - Total
      2008 - Total
      2006 - Landbased
      2007 - Landbased
      2008 - Landbased
      2006 - Seabased
      2007 - Seabased
      2008 - Seabased
      280605
      214783
      254213
      211279
      156272
      196406
      69326
      58511
      57807
      294783
      264942
      344149
      224683
      201406
      278497
      70100
      63536
      65652
      265788
      319006
      348678
      201998
      246153
      278624
      63790
      72853
      70054
      221391
      278892
      288973
      150110
      207239
      220872
      71281
      71653
      68101

      landbased

      New hires
      67929
      70131
      92296
      82904
      67324
      102121
      108526
      99002

      new and rehire

      Total Deployment
      Landbased
      Seabased
      214783
      156272
      58511
      264941
      201406
      63535
      319006
      246153
      72853
      278892
      207239
      71653
      254213
      196406
      57807
      344149
      278497
      65652
      348678
      278624
      70054
      288973
      220872
      68101
      283348

      by destination

      Total Deployment
      214783
      264941
      319006
      278892
      254213
      344149
      348678
      288973
      283348
      Total Deployment
      Growth Rate
      Period
      Total Deployment
      Growth Rate (Y-O-Y)
      OFW Deployment 2007-2009
      214783
      -234571728943
      264941
      -101233788923
      319006
      200227248785
      278892
      259726005122
      254213
      183580637201
      344149
      298964675154
      348678
      93013924503
      288973
      36146608723
      283348
      11460861561
      Total Deployment
      Landbased
      Seabased
      214783
      156272
      58511
      264941
      201406
      63535
      319006
      246153
      72853
      278892
      207239
      71653
      254213
      196406
      57807
      344149
      278497
      65652
      348678
      278624
      70054
      288973
      220872
      68101
      283348
      Deployed Landbased
      MIDDLE EAST
      ASIA
      EUROPE
      AMERICAS
      AFRICA
      OCEANIA
      Landbased
      New hires
      Rehires
      156272
      67929
      88343
      201406
      70131
      131275
      246153
      92296
      153857
      207239
      82904
      124335
      196406
      67324
      129082
      278497
      102121
      176376
      278624
      108526
      170098
      220872
      99002
      121870
      Brunei
      Hong Kong
      Japan
      Korea
      Malaysia
      Singapore
      Taiwan
      United Kingdom
      United States of America
      3977
      6517
      1991
      2815
      2390
      10589
      8051
      2037
      1865
      4035
      12719
      2500
      3431
      2307
      11536
      9756
      2538
      1031
      3202
      22833
      2085
      3981
      2174
      11344
      9408
      2547
      3363
      3453
      17100
      2291
      4038
      2854
      15962
      9921
      2403
      3142
      1584
      12498
      1428
      2044
      1873
      8131
      7497
      2523
      1661
      1940
      21725
      1749
      2941
      1766
      12285
      12601
      3051
      1304
      1721
      27698
      2070
      4398
      1273
      10823
      11358
      1964
      2918
      1685
      16424
      1308
      2984
      1122
      10439
      7090
      1770
      2167

      image17wmf

      Italy

      71

      Saudi

      Arabia

      250

      USA

      143

      Qatar

      107

      UK

      107

      Others

      321

      image18wmf

      Qatar

      71

      Singapore

      48

      DPRK

      48

      Saudi

      Arabia

      381

      Others

      191

      Unspecified

      71

      USA

      95

      Hong Kong

      SAR

      95

      image19emf

      Industry

      No

      Manufacturing

      22202

      Private households

      with employed person

      15138

      Education

      12110

      Other community

      social and personal

      service activities

      983

      Wholesale amp retail

      trade repair of motor

      vehicles

      873

      Hotels and restaurants

      873

      Transport storage

      and communication

      764

      Public administration

      and defense

      compulsory social

      security

      764

      Financial

      intermediation

      546

      Health and social work

      437

      Construction

      437

      Electricity gas and

      water supply

      328

      Mining and quarrying

      218

      Real estate renting

      and business activities

      218

      Extra-territorial

      organizations and

      bodies

      109

      Total

      1091000

      Microsoft_Office_Excel_97-2003_Worksheet7xls

      Sheet1

      Sheet2

      Sheet3

      image20wmf

      CBMS Core Indicators

      2005

      2009

      Health and Nutrition

      Proportion of children aged 0

      -

      4 years old who died

      00

      00

      Proportion of women who died due to pregnancy related causes

      00

      00

      Proportion of children aged 0

      -

      5 years old who are malnourished

      00

      18

      Shelter

      Proportion of households living in makeshift housing

      03

      31

      Proportion of households that are squatters

      b

      00

      432

      Water and Sanitation

      Proportion of households without access to safe water supply

      37

      06

      Proportion of households without acce

      ss to sanitary toilet facilities

      00

      00

      Education

      Proportion of children aged 6

      -

      12 years old who are not attending

      elementary school

      128

      191

      Proportion of children aged 13

      -

      16 years old who are not attending

      secondary school

      233

      238

      Income

      Proport

      ion of households with income below the poverty threshold

      83

      99

      Proportion of households with income below the food (subsistence)

      threshold

      22

      28

      Proportion of households that experienced food shortage

      06

      15

      Employment

      Proportion of persons who a

      re unemployed

      175

      126

      Peace and Order

      Proportion of persons who were victims of crimes

      00

      04

      for

      image21wmf

      No

      No

      No

      No

      Members who are studying

      used second-hand

      uniformshoes

      212

      508

      120

      12

      246

      272

      578

      165

      Reduced allowance for

      members who are studying

      104

      249

      123

      123

      201

      222

      428

      122

      Members who are studying

      used second-hand books

      147

      353

      115

      115

      159

      176

      421

      120

      Withdrawn children from

      school

      5

      12

      21

      21

      35

      39

      61

      17

      Shifted from private

      vehicleschool bus to

      commuting

      11

      26

      34

      34

      12

      13

      61

      17

      Others

      8

      19

      12

      12

      13

      14

      33

      09

      Transferred children from

      private school to public

      school

      8

      19

      21

      21

      3

      03

      32

      09

      Members who are studying

      skipped classes

      5

      12

      6

      06

      13

      14

      24

      07

      Transferred children from

      daycare to homecare

      0

      0

      5

      05

      2

      02

      7

      02

      Total

      Coping Strategies

      Urban NCR

      Urban Outside NCR

      Rural

      image22wmf

      Income

      Quintile

      Magnitude

      of HHs in the Income

      Quintile who were able to

      access

      1

      482

      689

      2

      375

      536

      3

      258

      369

      4

      165

      236

      5

      87

      124

      Total

      1367

      391

      image23emf

      SITELEAKAGE RATEEXCLUSION RATE

      ALL SITES489356

      Rural388228

      Urban NCR878446

      Urban Area

      Outside NCR

      416479

      Microsoft_Office_Excel_97-2003_Worksheet8xls

      paper

      paper

      7
      4
      3
      3
      2
      9

      powerpoint

      6
      214285714286
      5
      178571428571
      4
      142857142857
      4
      142857142857
      3
      107142857143
      2
      71428571429
      1
      35714285714
      1
      35714285714
      1
      35714285714
      1
      35714285714

      core indicators

      Sheet1

      coping strategies

      8
      E Technicians amp associate professionals
      109
      Total
      20
      F Others
      15
      D Plant amp machine operators and assemblers
      19
      C Laborers amp skilled workers
      21
      B Professionals
      26
      A Service workers and shop amp market sales workers
      No
      Type of Job

      coping strategies

      Source CBMS Survey 2009

      image24png

      image25jpeg

      image26jpeg

      Coping Strategies Urban NCR Urban Outside NCR Rural Total
      No No No No
      Tapped various fund sources
      Used savings 51 6 267 154 137 151 455 130
      Sold assets 24 28 26 15 18 20 68 19
      Pawned assets 74 86 65 37 27 30 166 47
      Borrowed money 443 518 571 329 387 428 1401 400
      Sought additional source of income
      Looked for additional work 21 25 112 64 86 95 219 63
      Did additional work 9 11 93 54 65 72 167 48
      Employed members not previously working 7 08 46 26 12 13 65 19
      Looked for work abroad 11 13 42 24 0 00 53 15
      Coping strategies in terms of health
      Did not buy medicine 32 37 77 44 63 70 172 49
      Discontinued intake of prescribed medicine 24 28 52 3 18 20 94 27
      Shifted to government health centers and hospitals 222 259 306 176 232 256 760 217
      Shifted to alternative medicine 42 49 240 138 163 180 445 127
      Resorted to self medication 255 298 359 207 96 106 710 203
      Reduced prescribed drug intake 43 5 108 62 25 28 176 50
      Lessened the availment of medical treatment for any illness 34 4 127 73 22 24 183 52
      Did not seek medical treatment for any illness 35 41 75 43 43 48 153 44
      Used medicinal plantsherbal medicines 249 291 421 242 325 359 995 284
      Shifted to generic drugscheaper drug brands 482 563 486 28 216 239 1184 338
      Others 6 07 26 15 30 33 62 18
      Coping strategies in terms of education
      Transferred children from private school to public school 8 19 21 21 3 03 32 09
      Withdrawn children from school 5 12 21 21 35 39 61 17
      Transferred children from daycare to homecare 0 0 5 05 2 02 7 02
      Members who are studying skipped classes 5 12 6 06 13 14 24 07
      Reduced allowance for members who are studying 104 249 123 123 201 222 428 122
      Members who are studying used second-hand books 147 353 115 115 159 176 421 120
      Members who are studying used second-hand uniformshoes 212 508 120 12 246 272 578 165
      Shifted from private vehicleschool bus to commuting 11 26 34 34 12 13 61 17
      Others 8 19 12 12 13 14 33 09
      Type of job No
      A Service workers and shop amp market sales workers
      B Professionals
      C Laborers amp skilled workers
      D Plant amp machine operators and assemblers
      E
      A 26
      B 21
      C 19
      D 15
      E 8
      F 20
      Total 109
      URBAN NCR URBAN OUTSIDE NCR RURAL
      Brgy 192 (Pasay City) Gumamela (Labo Camarines Norte) Villa Angeles (Orion Bataan) Pob III (StoTomas Batangas) Magbangon (Cabucgayan Biliran) Masikap (PPC Palawan) Ando (Borongan Eastern Samar) San Miguel (Llorente Eastern Samar) Salvacion (PPC Palawan) San Vicente (Sta Elena Camarines Norte)
      CBMS Core Indicators 2005 2009 2005 2009 2005 2009 2009 2005 2009 2009 2005 2009 2005 2009 2009 2006 2009
      Health and Nutrition
      Proportion of children aged 0-4 years old who died 0 0 04 04 0 09 04 16 0 11 0 24 08 22 13 06 08
      Proportion of women who died due to pregnancy related causes 0 0 0 12 0 0 09 0 0 0 0 0 0 0 0 0 19
      Proportion of children aged 0-5 years old who are malnourished 0 2 4 04 17 0 03 0 07 81 31 0 16 0 45 128 41
      Shelter
      Proportion of households living in makeshift housing 02 19 1 72 14 06 09 1 08 04 97 23 0 138 17 09 0
      Proportion of households that are squatters 01 301 55 02 0 03 07 1 08 0 57 0 2 3 08 0 04
      Water and Sanitation
      Proportion of households without access to safe water supply 24 11 33 21 6 09 09 17 23 04 06 12 6 11 582 209 147
      Proportion of households without access to sanitary toilet facilities 0 0 83 113 04 45 02 189 39 0 06 64 215 205 139 136 191
      Education
      Proportion of children aged 6-12 years old who are not attending elementary school 136 163 167 217 162 246 175 275 232 203 284 233 206 156 20 16 226
      Proportion of children aged 13-16 years old who are not attending secondary school 233 244 309 402 141 384 361 275 294 329 512 394 342 439 456 415 384
      Income
      Proportion of households with income below the poverty threshold 71 67 456 444 187 122 20 422 568 137 497 523 789 751 295 682 738
      Proportion of households with income below the food (subsistence) threshold 18 18 275 273 95 37 92 239 475 44 354 369 693 699 16 550 569
      Proportion of households that experienced food shortage 07 12 08 02 0 03 3 243 0 04 11 104 56 67 16 0 0
      Employment
      Proportion of persons who are unemployed 151 83 132 56 296 132 81 217 108 137 145 15 361 382 3 74 80
      Peace and Order
      Proportion of persons who were victims of crimes 1 05 13 2 08 09 02 0 0 67 0 0 0 05 3 0 06
      No Barangay MunicipalityCity Province
      1 Villa Angeles Orion Bataan
      2 Poblacion 3 StoTomas Batangas
      3 Magbangon Cabucgayan Biliran
      4 Gumamela Labo Camarines Norte
      5 San Vicente Sta Elena Camarines Norte
      6 Ando Borongan Eastern Samar
      7 San Miguel Llorente Eastern Samar
      8 Masikap Puerto Princesa City Palawan
      9 Salvacion Puerto Princesa City Palawan
      10 Brgy 192 Pasay City National Capital Region
      A A
      B B
      C C
      D D
      E E
      F F
      G G
      H H
      I I
      J J
      Saudi Arabia
      USA
      Qatar
      UK
      Italy
      Others
      Table 1 Total no of households and total population per barangay
      Barangay MunicipalityCity Province Households Population
      No No
      Urban NCR 856 245 2941 194
      192 Pasay City NCR-4 856 245 2941 194
      Urban Outside NCR 1738 497 7729 510
      Gumamela Labo Camarines Norte 432 123 2060 136
      Villa Angeles Orion Bataan 354 101 1401 92
      Poblacion III Santo Tomas Batangas 466 133 2086 138
      Magbangon Cabucgayan Biliran 259 74 1230 81
      Masikap Puerto Princesa City Palawan 227 65 952 63
      Rural 905 259 4491 296
      Ando Borongan Eastern Samar 174 50 892 59
      San Miguel Llorente Eastern Samar 269 77 1372 90
      Salvacion Puerto Princesa City Palawan 237 68 1084 71
      San Vicente Santa Elena Camarines Norte 225 64 1143 75
      Total 3499 1000 15161 1000
      Table 2 Distribution of retrenched OFWs by country
      Country No of Retrenched OFWs
      Saudi Arabia 7
      USA 4
      Qatar 3
      UK 3
      Italy 2
      Others 9
      Total 28
      Male 20
      Female 8
      Source CBMS Survey 2009
      Table 2 Retrenched OFWs by sector
      Industry Total Industry Total
      No No
      A Private households with employed person 6 214 A 6 214
      B Health and social work 5 179 B 5 179
      C Manufacturing 4 143 C 4 143
      D Financial intermediation 4 143 D 4 143
      E Transport storage and communication 3 107 E 3 107
      F Real estate renting and business activity 2 71 F 2 71
      G Hotel and restaurants 1 36 G 1 36
      H Wholesale amp retail trade repair of motor vehicles motorcycles and personal household goods 1 36 H 1 36
      I Other community social and personal service activities 1 36 I 1 36
      J Construction 1 36 J 1 36
      Total 28 100 Total 28 100
      Male 20 714 Male 20 714
      Female 8 286 Female 8 286
      Source CBMS Survey 2009 Source CBMS Survey 2009
      Table 4 OFW who experienced wage reduction by country
      Country Total Male Female
      No No No
      Saudi Arabia 16 372 15 938 1 63
      USA 4 93 4 1000 0 00
      Hong Kong SAR 4 93 1 250 3 750
      Qatar 3 70 2 667 1 333
      Singapore 2 47 2 1000 0 00
      DPRK 2 47 2 1000 0 00
      Others 9 209 4 444 5 556
      Unspecified 3 70 3 1000 0 00
      Total 43 100 33 767 10 233
      Source CBMS Survey 2009
      Table 5 OFW who experienced wage reduction by occupation
      Type of Job Total Male Female
      No No No
      All Occupations 43 1000 33 767 10 233
      Service workers and shop and market sales worker 13 302 9 692 4 308
      Trades and related workers 6 140 5 833 1 167
      Technicians and associate professionals 6 140 5 833 1 167
      Laborers and skilled workers 6 140 4 667 2 333
      Plant and machine operators and assemblers 5 116 4 80 1 20
      Professionals 3 70 2 667 1 333
      Officials of government and special interest organization corporate executives managers managing proprietors and supervisors 2 47 2 100 0 0
      Farmers forestry workers andfisherfolk 1 23 1 100 0 0
      Special occupations 1 23 1 100 0 0
      Source CBMS Survey 2009
      Table 6 Households affected by the crisis through remittances
      Indicator Rural Urban NCR Urban Outside NCR Total
      No No No No
      Households 905 856 1738 3499
      HH with OFW 79 87 71 83 300 173 450 129
      HH who received remittances during the past 6 months 65 823 54 761 234 780 353 784
      HH who experienced a decline in the amount of remittances received 7 89 13 183 20 67 40 89
      HH who experienced a decline in the frequency of receipt of remittances 4 51 9 127 19 63 32 71
      Source CBMS Survey 2009
      Table 7 Labor force statistics
      Statistics Total No Proportion Male Female
      No No
      Population 15 years and over 10394 5123 493 5271 507
      Labor force 5701 548 3508 615 2193 385
      Employed 5046 885 3155 625 1891 375
      Unemployed 655 115 353 539 302 461
      Source CBMS Survey 2009
      Table 8 Outcome Indicators Entrepreneurial Activities 2009
      Indicator Magnitude Proportion
      HHs engaged in new entrepreneurial activity 75 21
      HHs engaged in an entrepreneurial activity 1817 519
      HHs which closed a business 19 10
      HHs with significant change in the monthly income from the business 158 87
      Increase 33 209
      Decrease 125 791
      HHs with significant change in the no of employed persons in the business 6 03
      Increase 3 50
      Decrease 3 50
      Source CBMS Survey 2009
      Table 9 Outcome Indicators Wage Earners and Salaried Workers
      Indicator No
      HH with member who lost job 92 26
      Members who lost job 109 22
      HH with member who experienced wage reduction 74 21
      HH with member who experienced a reduction in number of working hours 65 19
      HH with member who experienced reduction in employment benefits 8 02
      Source CBMS Survey
      Table 10 Members who lost job by occupation
      Type of job No
      Service workers and shop and market sales workers 26 239
      Professionals 21 193
      Laborers and skilled workers 19 174
      Plant and machine operators and assemblers 15 138
      Technicians and associate professionals 8 73
      Others 20 183
      Total 109 1000
      Source CBMS Survey
      Table 11 Members who lost job by industry
      Industry No
      Manufacturing 22 202
      Private households with employed person 15 138
      Education 12 110
      Other community social and personal service activities 9 83
      Wholesale amp retail trade repair of motor vehicles 8 73
      Hotels and restaurants 8 73
      Transport storage and communication 7 64
      Public administration and defense compulsory social security 7 64
      Financial intermediation 5 46
      Health and social work 4 37
      Construction 4 37
      Electricity gas and water supply 3 28
      Mining and quarrying 2 18
      Real estate renting and business activities 2 18
      Extra-territorial organizations and bodies 1 09
      Total 109 1000
      Source CBMS Survey
      Table 12 Members who experienced reduction in wage working hours or employment benefits
      No of Employed Persons With Wage Reduction With Reduced Working Hours With Reduced Benefits
      No No No
      Male 3155 47 15 37 12 5 016
      Female 1891 36 19 36 19 3 016
      Total 5046 83 16 73 14 8 016
      Source CBMS Survey 2009
      Table 13 Households involved in the agriculture sector by site
      Site No of HHs
      Salvacion 208 878
      Ando 125 718
      San Miguel 187 695
      San Vicente 152 676
      Magbangon 139 537
      Gumamela 78 181
      Villa Angeles 19 54
      Masikap 10 44
      Poblacion III 7 15
      Brgy 192 2 02
      Total 927
      Source CBMS Survey 2009
      Table 14 Distribution of households by type of involvement in the agriculture sector
      Type of HHs Agri HHs Non-Agri HHs
      No of HHs 927 2572
      Average income (Php) 227928 744465
      HHs with a decrease in income from agricultural business 27 na
      Note Agri HHs refer to those which are involved in the agriculture sector while Non-Agri HHs refer to those which are NOT involved in the agricultural sector
      Source CBMS Survey 2009
      Table 18 Coping strategies adopted by households
      Coping strategy No
      1) Modified the ff Type of Expenses
      Food 3008 860
      Clothing 2871 821
      Electricity 2668 763
      Fuel 2290 654
      Communication 2138 611
      Health 1996 570
      Water 1785 510
      Recreation 1400 400
      Transportation 1188 340
      Education 875 250
      Coping strategy No
      2) Tapped various fund sources
      Borrowed money 1401 400
      Used savings 455 130
      Pawned assets 166 47
      Sold assets 68 19
      3) Sought additional source of income
      Looked for additional work 219 63
      Did additional work 167 48
      Employed members not previously working 65 19
      Looked for work abroad 53 15
      Source CBMS Survey
      Table 19 Households who were able to access the NFA rice program (10 GFC sites)
      Income Quintile Magnitude of HHs in the Income Quintile who were able to access
      1 482 689
      2 375 536
      3 258 369
      4 165 236
      5 87 124
      Total 1367 391
      Source CBMS Survey
      Table 20 NFA Rice Program Leakage and Exclusion Rates (10 GFC sites)
      SITE LEAKAGE RATE EXCLUSION RATE
      ALL SITES 489 356
      Rural 388 228
      Urban NCR 878 446
      Urban Area Outside NCR 416 479
      Source CBMS Survey
      Industry No
      Manufacturing 22 202
      Private households with employed person 15 138
      Education 12 110
      Other community social and personal service activities 9 83
      Wholesale amp retail trade repair of motor vehicles 8 73
      Hotels and restaurants 8 73
      Transport storage and communication 7 64
      Public administration and defense compulsory social security 7 64
      Financial intermediation 5 46
      Health and social work 4 37
      Construction 4 37
      Electricity gas and water supply 3 28
      Mining and quarrying 2 18
      Real estate renting and business activities 2 18
      Extra-territorial organizations and bodies 1 09
      Total 109 1000
      Industry Total
      No
      A Private households with employed person 6 214
      B Health and social work 5 179
      C Manufacturing 4 143
      D Financial intermediation 4 143
      E Transport storage and communication 3 107
      F Real estate renting and business activity 2 71
      G Hotel and restaurants 1 36
      H Wholesale amp retail trade repair of motor vehicles motorcycles and personal household goods 1 36
      I Other community social and personal service activities 1 36
      J Construction 1 36
      Total 28 100
      Male 20 714
      Female 8 286
      2007Q1 2007Q1 2007Q1 2007Q1 2007Q1 2007Q1 2007Q1 2007Q1 2007Q1
      2007Q2 2007Q2 2007Q2 2007Q2 2007Q2 2007Q2 2007Q2 2007Q2 2007Q2
      2007Q3 2007Q3 2007Q3 2007Q3 2007Q3 2007Q3 2007Q3 2007Q3 2007Q3
      2007Q4 2007Q4 2007Q4 2007Q4 2007Q4 2007Q4 2007Q4 2007Q4 2007Q4
      2008Q1 2008Q1 2008Q1 2008Q1 2008Q1 2008Q1 2008Q1 2008Q1 2008Q1
      2008Q2 2008Q2 2008Q2 2008Q2 2008Q2 2008Q2 2008Q2 2008Q2 2008Q2
      2008Q3 2008Q3 2008Q3 2008Q3 2008Q3 2008Q3 2008Q3 2008Q3 2008Q3
      2008Q4 2008Q4 2008Q4 2008Q4 2008Q4 2008Q4 2008Q4 2008Q4 2008Q4
      Countries that lessen the deployment of OFWs Countries that lessen the deployment of OFWs
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4 2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      MIDDLE EAST 96113 125901 148592 117272 127768 181306 175605 147149 Brunei 3977 4035 3202 3453 1584 1940 1721 1685
      Bahrain 1824 2573 3277 2224 2557 3778 3606 3138 Hong Kong 6517 12719 22833 17100 12498 21725 27698 16424
      Kuwait 9338 9678 9175 8889 7493 11926 11123 8361 Japan 1991 2500 2085 2291 1428 1749 2070 1308
      Lebanon 36 377 52 3 1 6 4 1 Korea 2815 3431 3981 4038 2044 2941 4398 2984
      Libya 1020 1581 1932 1408 1372 2347 1964 2048 Malaysia 2390 2307 2174 2854 1873 1766 1273 1122
      Oman 1529 1758 2185 1991 2087 2746 3202 2187 Singapore 10589 11536 11344 15962 8131 12285 10823 10439
      Qatar 9784 14382 16739 15372 16200 24094 23025 21023 Taiwan 8051 9756 9408 9921 7497 12601 11358 7090
      Saudia Arabia 50732 63676 72099 51912 60038 79163 75225 61507 United Kingdom 2037 2538 2547 2403 2523 3051 1964 1770
      United Arab Emirates 19206 28441 40174 32836 36450 54497 55335 47528 United States of America 1865 1031 3363 3142 1661 1304 2918 2167
      Rest of Middle East 2644 3435 2959 2637 1570 2749 2121 1356
      ASIA 41443 51800 62716 63024 41654 63623 67274 47047
      Brunei 3977 4035 3202 3453 1584 1940 1721 1685
      Hong Kong 6517 12719 22833 17100 12498 21725 27698 16424
      Japan 1991 2500 2085 2291 1428 1749 2070 1308
      Korea 2815 3431 3981 4038 2044 2941 4398 2984
      Malaysia 2390 2307 2174 2854 1873 1766 1273 1122
      Singapore 10589 11536 11344 15962 8131 12285 10823 10439
      Taiwan 8051 9756 9408 9921 7497 12601 11358 7090
      Rest of Asia 5113 5516 7689 7405 6599 8616 7933 5995
      EUROPE 7265 10860 17008 10480 12202 15131 15479 8983
      Cyprus 530 778 861 643 423 674 624 664
      Ireland 1014 1395 1313 1018 1353 1550 1173 840
      Italy 1908 3662 8929 3356 4665 6004 8554 3400
      United Kingdom 2037 2538 2547 2403 2523 3051 1964 1770
      Rest of Europe 1776 2487 3358 3060 3238 3852 3164 2309
      AMERICAS 5318 5385 8534 8782 5882 8494 9148 8392
      Canada 2169 2867 3377 3967 3121 5350 4442 4486
      Cayman Island 148 269 276 310 184 354 246 345
      Diego Garcia 226 151 380 190 8 97 275 198
      United States of America 1865 1031 3363 3142 1661 1304 2918 2167
      Rest of America 910 1067 1138 1173 908 1389 1267 1196
      AFRICA 2472 3329 4190 3135 2814 4129 4942 4549
      Angola 506 718 924 787 699 1038 1272 1280
      Equatorial Gunie 432 506 451 391 337 379 487 451
      Nigeria 386 481 668 66 2 5 4 1
      Sudan 137 256 375 293 230 289 519 316
      Rest of Africa 1011 1368 1772 1598 1546 2418 2660 2501
      2007Q1 2007Q1 2007Q1
      2007Q2 2007Q2 2007Q2
      2007Q3 2007Q3 2007Q3
      2007Q4 2007Q4 2007Q4
      2008Q1 2008Q1 2008Q1
      2008Q2 2008Q2 2008Q2
      2008Q3 2008Q3 2008Q3
      2008Q4 2008Q4 2008Q4
      Deployed Landbased Filipino Workers
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      Landbased 156272 201406 246153 207239 196406 278497 278624 220872
      New hires 67929 70131 92296 82904 67324 102121 108526 99002
      Rehires 88343 131275 153857 124335 129082 176376 170098 121870
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      Deployed Landbased Filipino Workers by Destination
      New hires and Rehires- Consolidated
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      Deployed Landbased 156272 201406 246153 207239 196406 278497 278624 220872
      MIDDLE EAST 96113 125901 148592 117272 127768 181306 175605 147149
      ASIA 41443 51800 62716 63024 41654 63623 67274 47047
      EUROPE 7265 10860 17008 10480 12202 15131 15479 8983
      AMERICAS 5318 5385 8534 8782 5882 8494 9148 8392
      AFRICA 2472 3329 4190 3135 2814 4129 4942 4549
      OCEANIA 2186 2220 3396 2889 4298 3750 4207 2775
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      MIDDLE EAST 96113 125901 148592 117272 127768 181306 175605 147149
      Bahrain 1824 2573 3277 2224 2557 3778 3606 3138
      Kuwait 9338 9678 9175 8889 7493 11926 11123 8361
      Lebanon 36 377 52 3 1 6 4 1
      Libya 1020 1581 1932 1408 1372 2347 1964 2048
      Oman 1529 1758 2185 1991 2087 2746 3202 2187
      Qatar 9784 14382 16739 15372 16200 24094 23025 21023
      Saudia Arabia 50732 63676 72099 51912 60038 79163 75225 61507
      United Arab Emirates 19206 28441 40174 32836 36450 54497 55335 47528
      Rest of Middle East 2644 3435 2959 2637 1570 2749 2121 1356
      ASIA 41443 51800 62716 63024 41654 63623 67274 47047
      Brunei 3977 4035 3202 3453 1584 1940 1721 1685
      Hong Kong 6517 12719 22833 17100 12498 21725 27698 16424
      Japan 1991 2500 2085 2291 1428 1749 2070 1308
      Korea 2815 3431 3981 4038 2044 2941 4398 2984
      Malaysia 2390 2307 2174 2854 1873 1766 1273 1122
      Singapore 10589 11536 11344 15962 8131 12285 10823 10439
      Taiwan 8051 9756 9408 9921 7497 12601 11358 7090
      Rest of Asia 5113 5516 7689 7405 6599 8616 7933 5995
      EUROPE 7265 10860 17008 10480 12202 15131 15479 8983
      Cyprus 530 778 861 643 423 674 624 664
      Ireland 1014 1395 1313 1018 1353 1550 1173 840
      Italy 1908 3662 8929 3356 4665 6004 8554 3400
      United Kingdom 2037 2538 2547 2403 2523 3051 1964 1770
      Rest of Europe 1776 2487 3358 3060 3238 3852 3164 2309
      AMERICAS 5318 5385 8534 8782 5882 8494 9148 8392
      Canada 2169 2867 3377 3967 3121 5350 4442 4486
      Cayman Island 148 269 276 310 184 354 246 345
      Diego Garcia 226 151 380 190 8 97 275 198
      United States of America 1865 1031 3363 3142 1661 1304 2918 2167
      Rest of America 910 1067 1138 1173 908 1389 1267 1196
      AFRICA 2472 3329 4190 3135 2814 4129 4942 4549
      Angola 506 718 924 787 699 1038 1272 1280
      Equatorial Gunie 432 506 451 391 337 379 487 451
      Nigeria 386 481 668 66 2 5 4 1
      Sudan 137 256 375 293 230 289 519 316
      Rest of Africa 1011 1368 1772 1598 1546 2418 2660 2501
      2007Q1 2007Q1 2007Q1
      2007Q2 2007Q2 2007Q2
      2007Q3 2007Q3 2007Q3
      2007Q4 2007Q4 2007Q4
      2008Q1 2008Q1 2008Q1
      2008Q2 2008Q2 2008Q2
      2008Q3 2008Q3 2008Q3
      2008Q4 2008Q4 2008Q4
      2009Q1 2009Q1 2009Q1
      Deployed Filipino Workers by Destination
      New hires and Rehires- Consolidated
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4 2009Q1
      Total Deployment 214783 264941 319006 278892 254213 344149 348678 288973 283348
      Landbased 156272 201406 246153 207239 196406 278497 278624 220872
      Seabased 58511 63535 72853 71653 57807 65652 70054 68101
      2007 2008 2009
      Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1
      Total Deployment 280605 294783 265788 221391 214783 264941 319006 278892 254213 344149 348678 288973 283348
      Growth Rate -235 -101 200 260 184 299 93 36 115
      1077622 1236013
      146981965847
      269406 309003
      Q12007 Q12007
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12008 Q12008
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12009 Q12009
      Q12007
      Q2
      Q3
      Q4
      Q12008
      Q2
      Q3
      Q4
      Q12009
      2007Q1 2007Q1 2007Q1
      2007Q2 2007Q2 2007Q2
      2007Q3 2007Q3 2007Q3
      2007Q4 2007Q4 2007Q4
      2008Q1 2008Q1 2008Q1
      2008Q2 2008Q2 2008Q2
      2008Q3 2008Q3 2008Q3
      2008Q4 2008Q4 2008Q4
      2009Q1 2009Q1 2009Q1
      2007Q1
      2007Q2
      2007Q3
      2007Q4
      2008Q1
      2008Q2
      2008Q3
      2008Q4
      Q1 Q1 Q1 Q1 Q1 Q1 Q1 Q1 Q1
      Q2 Q2 Q2 Q2 Q2 Q2 Q2 Q2 Q2
      Q3 Q3 Q3 Q3 Q3 Q3 Q3 Q3 Q3
      Q4 Q4 Q4 Q4 Q4 Q4 Q4 Q4 Q4
      Jan07
      Feb07
      Mar07
      Apr07
      May07
      Jun07
      Jul07
      Aug07
      Sep07
      Oct07
      Nov07
      Dec07
      Jan08
      Feb08
      Mar08
      Apr08
      May08
      Jun08
      Jul08
      Aug08
      Sep08
      Oct08
      Nov08
      Dec08
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07 2007 Q1 Q2 Q3 Q4
      Total 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337 Total 214783 264941 319006 278892
      Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298 Landbased 156272 201406 246153 207239
      New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368 New hires 67929 70131 92296 82904
      Rehires 36300 22186 29857 37138 41054 53083 57667 54704 41486 38166 38239 47930 Rehires 88343 131275 153857 124335
      Seabased 17517 19048 21946 21408 22582 19545 24778 23776 24299 24475 27139 20039 Seabased 58511 63535 72853 71653
      2008 Jan08 Feb08 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08 2008
      Total 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584 Total 254213 344149 348678 288973
      Landbased 87841 64644 43921 74446 103434 100617 93891 95019 89714 78441 74712 67719 Landbased 196406 278497 278624 220872
      New hires 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102 New hires 67324 102121 108526 99002
      Rehires 68639 35662 24781 46795 67499 62082 55816 64630 49652 43779 40474 37617 Rehires 129082 176376 170098 121870
      Seabased 18212 21537 18058 20301 22485 22866 24294 22693 23067 23596 25640 18865 Seabased 57807 65652 70054 68101
      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
      2007 - Total 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337
      2008 - Total 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584
      2007 - Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298 2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      2008 - Landbased 87841 64644 43921 74446 103434 100617 93891 95019 89714 78441 74712 67719 New hires 67929 70131 92296 82904 67324 102121 108526 99002
      2007 - New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368
      2008 - New hires 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102 2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4 2009Q1
      2007 - Rehires 36300 22186 29857 37138 41054 53083 57667 54704 41486 38166 38239 47930 Total Deployment 214783 264941 319006 278892 254213 344149 348678 288973 283348
      2008 - Rehires 68639 35662 24781 46795 67499 62082 55816 64630 49652 43779 40474 37617 Landbased 156272 201406 246153 207239 196406 278497 278624 220872
      2007 - Seabased 17517 19048 21946 21408 22582 19545 24778 23776 24299 24475 27139 20039 Seabased 58511 63535 72853 71653 57807 65652 70054 68101
      2008 - Seabased 18212 21537 18058 20301 22485 22866 24294 22693 23067 23596 25640 18865
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07
      New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07
      Total Deployment 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337
      Q1 Q2 Q3 Q4
      2006 - Total 280605 294783 265788 221391
      2007 - Total 214783 264942 319006 278892
      2008 - Total 254213 344149 348678 288973
      2009 - Total
      2006 - Landbased 211279 224683 201998 150110
      2007 - Landbased 156272 201406 246153 207239
      2008 - Landbased 196406 278497 278624 220872
      2006 - Seabased 69326 70100 63790 71281
      2007 - Seabased 58511 63536 72853 71653
      2008 - Seabased 57807 65652 70054 68101
      Deployed Landbased Filipino Workers by Destination Year 2006 2007 2008 2009
      New hires and Rehires- Consolidated 2007 1st Qtr 2nd Qtr 3rd Qtr 4th Qtr 1st Qtr 2nd Qtr 3rd Qtr 4th Qtr 1st Qtr 2nd Qtr 3rd Qtr 4th Qtr 1st Qtr
      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TOTAL 280605 294783 265788 221391 214783 264942 319006 278892 254213 344149 348678 288973 283348
      MIDDLE EAST 31420 29408 35285 33456 40808 51637 56602 45915 46075 37507 37857 41908 LAND-BASED 211279 224683 201998 150110 156272 201406 246153 207239 196406 278497 278624 220872
      ASIA 13054 12118 16271 16701 18537 16562 21201 23758 17757 18889 20002 24133 Africa 2842 2543 2282 1783 2472 3329 4190 3135 2814 4129 4942 4549
      EUROPE 2871 1863 2531 3074 3335 4451 5748 6002 5258 3153 3590 3737 Americas 5369 5643 6057 4907 5318 5385 8534 8782 5882 8494 9148 8392
      AMERICAS 2151 1337 1830 1653 1872 1860 2991 2938 2605 3015 3073 2694 Asia 68312 64538 54604 35486 41443 51800 62716 63024 41654 63623 67274 47047
      AFRICA 1030 667 775 804 1099 1426 1479 1324 1387 1156 1010 969 Europe 13594 17123 15817 12779 7265 10860 17008 10480 12202 15131 15479 8983
      TRUST TERRITORIES 534 354 574 628 599 662 623 535 554 599 409 603 Middle_East 118078 131376 119985 93106 96113 125901 148592 117272 127768 181306 175605 147149
      OCEANIA 828 556 802 753 664 803 1294 1244 858 790 863 1236 Oceania 1334 1302 1466 1024 2186 2220 3396 2889 4298 3750 4207 2775
      UNSPECIFIED 1 0 0 0 0 0 1 0 0 0 4 1 Trust_Territories 1690 2115 1735 941 1462 1889 1712 1611 1350 1568 1439 1104
      Workers with Special Exit Clearance 3 8 1 16 4 2 3 0 1 24 0 17 Not Reported 5 2 1 1 1 5 424 482 530 829
      Deployed Landbased Total - NHs and RHs 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298 Others 55 41 51 84 12 22 4 41 14 14 44
      Deployed Seabased Total 17517 19048 21946 21409 22582 19545 24778 23776 24299 24475 27139 20039 SEA-BASED 69326 70100 63790 71281 58511 63536 72853 71653 57807 65652 70054 68101
      G R A N D T O T A L 69409 65359 80015 78494 89500 96948 114720 105492 98794 89608 93947 95337
      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
      Total Deployment 69409 65359 80015 78494 89500 96948 114720 105492 98794 89608 93947 95337
      Deployed Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298
      MIDDLE EAST 31420 29408 35285 33456 40808 51637 56602 45915 46075 37507 37857 41908
      ASIA 13054 12118 16271 16701 18537 16562 21201 23758 17757 18889 20002 24133
      EUROPE 2871 1863 2531 3074 3335 4451 5748 6002 5258 3153 3590 3737
      AMERICAS 2151 1337 1830 1653 1872 1860 2991 2938 2605 3015 3073 2694
      AFRICA 1030 667 775 804 1099 1426 1479 1324 1387 1156 1010 969
      Jan07
      Feb07
      Mar07
      Apr07
      May07
      Jun07
      Jul07
      Aug07
      Sep07
      Oct07
      Nov07
      Dec07
      Jan08
      Feb08
      Mar08
      Apr08
      May08
      Jun08
      Jul08
      Aug08
      Sep08
      Oct08
      Nov08
      Dec08
      Q1 Q1 Q1 Q1 Q1 Q1 Q1 Q1 Q1
      Q2 Q2 Q2 Q2 Q2 Q2 Q2 Q2 Q2
      Q3 Q3 Q3 Q3 Q3 Q3 Q3 Q3 Q3
      Q4 Q4 Q4 Q4 Q4 Q4 Q4 Q4 Q4
      Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
      Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
      Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
      Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
      May May May May May May May May May May
      Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
      Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
      Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug
      Sep Sep Sep Sep Sep Sep Sep Sep Sep Sep
      Oct Oct Oct Oct Oct Oct Oct Oct Oct Oct
      Nov Nov Nov Nov Nov Nov Nov Nov Nov Nov
      Dec Dec Dec Dec Dec Dec Dec Dec Dec Dec
      Jan07
      Feb07
      Mar07
      Apr07
      May07
      Jun07
      Jul07
      Aug07
      Sep07
      Oct07
      Nov07
      Dec07
      Jan08
      Feb08
      Mar08
      Apr08
      May08
      Jun08
      Jul08
      Aug08
      Sep08
      Oct08
      Nov08
      Dec08
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07
      Total 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337
      Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298
      New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368
      Rehires 36300 22186 29857 37138 41054 53083 57667 54704 41486 38166 38239 47930
      Seabased 17517 19048 21946 21408 22582 19545 24778 23776 24299 24475 27139 20039
      2008 Jan08 Feb08 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08
      Total 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584
      Landbased 87841 64644 43921 74446 103434 100617 93891 95019 89714 78441 74712 67719
      New hires 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102
      Rehires 68639 35662 24781 46795 67499 62082 55816 64630 49652 43779 40474 37617
      Seabased 18212 21537 18058 20301 22485 22866 24294 22693 23067 23596 25640 18865
      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
      2007 - Total 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337
      2008 - Total 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584
      2007 - Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298
      2008 - Landbased 87841 64644 43921 74446 103434 100617 93891 95019 89714 78441 74712 67719
      2007 - New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368
      2008 - New hires 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102
      2007 - Rehires 36300 22186 29857 37138 41054 53083 57667 54704 41486 38166 38239 47930
      2008 - Rehires 68639 35662 24781 46795 67499 62082 55816 64630 49652 43779 40474 37617
      2007 - Seabased 17517 19048 21946 21408 22582 19545 24778 23776 24299 24475 27139 20039
      2008 - Seabased 18212 21537 18058 20301 22485 22866 24294 22693 23067 23596 25640 18865
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07 Jan08 Feb08 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08
      New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07 Jan08 Feb08 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08
      Total Deployment 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584
      Q1 Q2 Q3 Q4
      2006 - Total 280605 294783 265788 221391
      2007 - Total 214783 264942 319006 278892
      2008 - Total 254213 344149 348678 288973
      2009 - Total
      2006 - Landbased 211279 224683 201998 150110
      2007 - Landbased 156272 201406 246153 207239
      2008 - Landbased 196406 278497 278624 220872
      2006 - Seabased 69326 70100 63790 71281
      2007 - Seabased 58511 63536 72853 71653
      2008 - Seabased 57807 65652 70054 68101
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      Unemployment Rate
      2004 Q1 110
      Q2 137
      Q3 117
      Q4 109
      2005 Q1 113
      Q2 83
      Q3 77
      Q4 74
      2006 Q1 81
      Q2 82
      Q3 80
      Q4 73
      2007 Q1 78
      Q2 74
      Q3 78
      Q4 63
      2008 Q1 74
      Q2 80
      Q3 74
      Q4 68
      2009 Q1 77
      Q2 75
      Q3 76
      Q4
      Unemployment Rate
      Q12004 11
      Q22004
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      FOB Value Growth rate year-on-year
      2007 Jan 39869 218
      Feb 37173 78
      Mar 44775 73
      Apr 41173 51
      May 41216 61
      Jun 41167 15
      Jul 41880 43
      Aug 41041 (40)
      Sep 43725 46
      Oct 46484 105
      Nov 39475 (21)
      Dec 44724 214
      2008 Jan 42306 60
      Feb 41120 105
      Mar 41931 (66)
      Apr 43247 49
      May 42241 23
      Jun 45134 88
      Jul 44372 44
      Aug 43930 66
      Sep 44387 11
      Oct 39710 (148)
      Nov 35130 (114)
      Dec 26746 (403)
      2009 Jan 251119 (406)
      Feb 250629 (391)
      Mar 290673 (308)
      Apr 280311 (352)
      May 308786 (269)
      Jun 340630 (248)
      Jul 331077 (254)
      Aug 347289 (210)
      Sep 363398 (183)
      2007 2008 2009
      Month FOB Value Growth Rates FOB Value Growth Rates FOB Value Growth Rates
      Jan 39869 218 42306 60 251119 (406)
      Feb 37173 78 41120 105 250629 (391)
      Mar 44775 73 41931 (66) 290673 (308)
      Apr 41173 51 43247 49 280311 (352)
      May 41216 61 42241 23 308786 (269)
      Jun 41167 15 45134 88 340630 (248)
      Jul 41880 43 44372 44 331077 (254)
      Aug 41041 (40) 43930 66 347289 (210)
      Sep 43725 46 44387 11 363398 (183)
      Oct 46484 105 39710 (148)
      Nov 39475 (21) 35130 (114)
      Dec 44724 214 26746 (403)
      2007 2008 2009
      Month Levels Growth Rates Levels Growth Rates Levels Growth Rates
      Jan 10994 199 12640 150 12655 01
      Feb 10855 254 12586 159 13200 49
      Mar 13048 264 14278 94 14715 31
      Apr 11915 326 14102 184 14417 22
      May 12371 84 14298 156 14822 37
      Jun 11158 10 14508 300 14987 33
      Jul 10966 46 13668 246 14940 93
      Aug 12069 106 13320 104 13691 28
      Sep 11398 124 13329 169
      Oct 13885 171 14347 33
      Nov 11870 38 13113 105
      Dec 13970 59 14077 08
      Jan2007 Jan2007
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2008 Jan2008
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2009 Jan2009
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Jan Jan
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan Jan
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan Jan
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      1 1 1 1 1 1
      Amount Growth rate year-on-year
      2007 Jan 10994 199
      Feb 10855 254
      Mar 13048 264
      Apr 11915 326
      May 12371 84
      Jun 11158 10
      Jul 10966 46
      Aug 12069 106
      Sep 11398 124
      Oct 13885 171
      Nov 11870 38
      Dec 13970 59
      2008 Jan 12640 150
      Feb 12586 159
      Mar 14278 94
      Apr 14102 184
      May 14298 156
      Jun 14508 300
      Jul 13668 246
      Aug 13320 104
      Sep 13329 169
      Oct 14347 33
      Nov 13113 105
      Dec 14077 08
      2009 Jan 12655 01
      Feb 13200 49
      Mar 14715 31
      Apr 14417 22
      May 14822 37
      Jun 14987 33
      Jul 14940 93
      Aug 13691 28
      Sep 14470 86
      Jan2007 Jan2007
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2008 Jan2008
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2009 Jan2009
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Site No of HHs PhilHealth-sponsored programf Pantawid Pamilya Pilipino Program (4Ps) NFA rice access program Comprehensive Livelihood amp Emergency Employment Program (CLEEP) Self-Employment Assistance-Kaunlaran (SEA-K) Emergency loan for SSS members who were retrenched since Jan 2009 Pag-ibig Special Short-term Loan (STL) Program for displaced workers 6-month pay package for laid-off electronic workers Botika ng Barangay Program Day care center services Barangay health services
      Rural
      Ando 174 57 06 81 06 0 06 11 0 86 178 425
      Salvacion 237 3 0 89 0 46 0 04 0 447 165 878
      San Miguel 269 156 0 602 04 0 0 0 0 26 63 327
      Urban Outside NCR
      Gumamela 432 137 12 521 0 0 0 0 0 25 56 162
      Magbangon 259 459 0 371 0 0 0 04 0 69 35 58
      Masikap 227 35 0 62 0 0 31 13 0 22 0 128
      Poblacion III 466 30 02 163 04 0 0 0 04 185 82 15
      Villa Angeles 354 627 0 107 0 03 34 45 0 06 25 51
      Urban NCR
      192 856 - 0 298 01 0 09 07 0 65 53 118
      TOTAL
      No 3274 607 7 1218 5 12 28 29 2 403 212 673
      1000 185 02 372 02 04 09 09 0 123 65 206
      Total Male Female
      Region Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Asia 15 555 12 80 3 20
      Europe 6 222 4 667 2 333
      North America 5 185 3 60 2 40
      Australia 1 37 0 0 1 100
      Total 27 100 19 704 7 296
      Region No of OFWs
      Asia 15
      Europe 6
      North America 5
      Australia 1
      Total 27
      All Sectors Manufacturing
      2007 Q1 156 -046
      Q2 357 03
      Q3 331 -008
      Q4 287 081
      2008 Q1 476 386
      Q2 199 0
      Q3 205 -037
      Q4 069 01
      2009 Q1 027 -138
      Q2 221 224
      Q12007 Q12007
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12008 Q12008
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12009 Q12009
      Q2 Q2
      withdrawsy_fn withdrawsy_fn sex
      ELMER JR 1 DENESSA 2
      REYNAN 1 ELMER JR 1
      ROBERT 1 ARMIE 2
      CARYLLE KAYE 2 GILBERT 1
      ALVIN 1 DANTE 1
      KIETH CYRILL 1 RONALD 1
      JOVEN 1 JALLY 2
      BENIGNO 1 REYNAN 1
      ALVIN 1 ROBERT 1
      DENMARK E 1 BRENDA 2
      DON CARLO D 1 BEBETH 2
      DENESSA 2 ALVIN 1
      GILBERT 1 MA FE 2
      DANTE 1 YMEL 1
      REGGIE 1 JOVEN 1
      RONALD 1 JOHN MANUEL 1
      JALLY 2 JUN-JUN 1
      KOBE BRYAN 1 JOHN LUIS 1
      MA FE 2 KENNETH 1
      YMEL 1 MA ELINA 2
      BRENDA 2 BERSON 1
      FRANCIS EDD 1 GLENN IRETH 1
      FRANCIS GABRIELLE 1 ALVIN 1
      JOHN MICO 1 DENMARK E 1
      OMAR JOSEPH 1 DON CARLO D 1
      DHANVER 1 DHANVER 1
      BEBETH 2 KOBE BRYAN 1
      ARMIE 2 REGGIE 1
      BERSON 1 KIETH CYRILL 1
      GLENN IRETH 1 CARYLLE KAYE 2
      JOHN MANUEL 1 BENIGNO 1
      MA ELINA 2 JOHN MICO 1
      JUN-JUN 1 OMAR JOSEPH 1
      JOHN LUIS 1 FRANCIS EDD 1
      KENNETH 1 FRANCIS GABRIELLE 1
      No No of Withdrawn Children
      Male 2093 27 13 2066 27
      Female 1916 8 04 1908 8
      Total 4009 35 17
      privtopubsy_fn sex
      RINA 2
      MARIEL 2
      JOHN DANE 1
      JOSHUA 1
      ROLANDO 1
      GERALDWIN 1
      SAVINA 2
      AIKE 1
      HAROLD 1
      DARREL 1
      ARVIN 1
      PAUL JOHN 1
      JAN AIGRETTE 2
      MARIA CLAUDINE 2
      GERRY 1
      DOMINIC ALLEYAH 2
      No of Students No of Children who Shifted from Private to Public School
      Male 2066 10 05
      Female 1908 8 04
      Total 3974 18 09
      Gross Domestic Product Net Factor Income from Abroad and Gross National Product1st Qtr 2003 -2nd Qtr 2009(in million PhP)
      Period At Current Prices At Constant 1985 Prices
      GDP NFIA GNP GDP NFIA GNP
      2003 4316402 315077 4631479 1085072 86359 1171431
      Q1 994224 68550 1062773 253672 19168 272840
      Q2 1032440 80778 1113218 264189 22243 286432
      Q3 1057502 83314 1140816 264671 22665 287337
      Q4 1232236 82435 1314672 302539 22283 324822
      2004 4871555 376509 5248064 1154295 98036 1252331
      Q1 1109078 84329 1193407 271817 22828 294644
      Q2 1170574 97245 1267820 282939 25580 308518
      Q3 1198554 97202 1295756 279581 24853 304443
      Q4 1393348 97733 1491081 319959 24776 344735
      2005 5444038 447145 5891183 1211452 108548 1320000
      Q1 1234383 100221 1336605 284063 25239 309303
      Q2 1316400 112436 1428836 297426 27429 324855
      Q3 1334509 107281 1441790 292665 25680 318345
      Q4 1558746 127206 1685953 337298 30199 367497
      2006 6031164 500940 6532104 1276156 115133 1391289
      Q1 1386083 112729 1489912 299681 26491 326172
      Q2 1454772 129652 1584423 313112 29825 342937
      Q3 1476946 113828 1590774 307750 26008 333757
      Q4 1713364 144731 1858095 355613 32808 388421
      2007 6647338 579974 7227312 1366493 129098 1495589
      Q1 1523149 117930 1641079 320326 26866 347192
      Q2 1617711 160029 1777741 339218 35809 375026
      Q3 1610729 152413 1763142 328795 33671 362466
      Q4 1895749 149601 2045350 378154 32750 410905
      2008 7423213 827036 8250249 1418952 168845 1587797
      Q1 1660335 168092 1828427 332890 36603 369494
      Q2 1833916 201478 2035395 353331 41456 394787
      Q3 1853440 209295 2062735 343784 41280 385063
      Q4 2075522 248170 2323692 388948 49507 438454
      2009
      Q1 1738762 230951 1969713 334866 46035 380901
      Q2 1869888 274822 2144710 358460 53758 412218
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      Sex Lost job Individuals who lost job
      Magnitude Proportion Individuals who Lost Job Members of the Labor Force
      Total 107 100 Male 65 3213 20
      Female 42 2036 21
      Male 65 608 Total 107 5249 41
      Female 42 393
      Statistics Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Population 15 years and over 9657 100 4765 493 4892 507
      Labor force 5249 100 3213 612 2036 388
      Employed persons 4630 100 2880 622 1750 378
      Unemployed persons 619 100 333 538 286 462
      Labor force participation rate 544 674 416
      Employment rate 882 896 86
      Unemployment rate 118 104 14
      Indicator Magnitude
      No of Households 3274
      HH with member who lost job 90 28
      Statistics Total Male Female
      No No
      Population 15 years and over 9657 4765 493 4892 507
      Labor force 5249 3213 612 2036 388
      Employed persons 4630 2880 622 1750 378
      Unemployed persons 619 333 538 286 462
      Indicator Rural Urban NCR Urban Outside NCR Total
      Magnitude Proportion Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH with returning OFW 17 246 26 366 124 413 167 38
      HH with returning OFW who was retrenched or laid off from work 2 118 2 77 23 185 27 162
      HH with OFW who experienced wage reduction 2 29 11 155 28 93 41 94
      HH who received remittances during the past 12 months 63 913 60 845 264 88 387 88
      HH who received remittances during the past 6 months 67 971 71 100 298 993 436 991
      HH who experienced a decline in the amount of remittances received 7 104 13 183 20 67 40 92
      HH who experienced a decline in the frequency of receipt of remittances 4 6 9 127 19 64 32 73
      Indicator Rural Urban NCR Urban Outside NCR Total
      Magnitude Proportion Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH with OFW who experienced wage reduction 2 29 11 155 28 93 41 94
      Area Households HHs with OFW HH with OFW who experienced wage reduction
      Rural No 680 69 2
      101 29
      Urban NCR No 856 71 11
      83 155
      Urban Outside NCR No 1738 300 28
      173 93
      Total No 3274 440 41
      134 94
      Indicator Rural Urban NCR Urban Outside NCR Total
      No No No No
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH who received remittances during the past 6 months 67 971 71 100 298 993 436 991
      HH who experienced a decline in the amount of remittances received 7 104 13 183 20 67 40 92
      HH who experienced a decline in the frequency of receipt of remittances 4 6 9 127 19 64 32 73
      Q12003
      Q2
      Q3
      Q4
      Q12004
      Q2
      Q3
      Q4
      Q12005
      Q2
      Q3
      Q4
      Q12006
      Q2
      Q3
      Q4
      Q12007
      Q2
      Q3
      Q4
      Q12008
      Q2
      Q3
      Q4
      Q12009
      Q2
      Growth Rate Real GDP Real GDP (PM)
      2003 Q1 253672 253672
      Q2 264189 264189
      Q3 264671 264671
      Q4 302539 302539
      2004 Q1 72 271817 271817
      Q2 71 282939 282939
      Q3 56 279581 279581
      Q4 58 319959 319959
      2005 Q1 45 284063 284063
      Q2 51 297426 297426
      Q3 47 292665 292665
      Q4 54 337298 337298
      2006 Q1 55 299681 299681
      Q2 53 313112 313112
      Q3 52 30775 307750
      Q4 54 355613 355613
      2007 Q1 69 320326 320326
      Q2 83 339218 339218
      Q3 68 328795 328795
      Q4 63 378154 378154
      2008 Q1 39 33289 332890
      Q2 42 353331 353331
      Q3 46 343784 343784
      Q4 29 388948 388948
      2009 Q1 06 334866 334866
      Q2 15 35846 358460
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      Outcome variables Magnitude Proportionb
      Overseas Employment and Remittances
      HHs with OFW who returned from abroad due to retrenchmentlay-off 27 61
      HHs with OFW who experienced wage reduction 41 94
      HHs with remittances declined in terms of amount 40 92
      HHs with remittances declined in terms of frequency 32 73
      Local Employment
      HHs with business closedshutdown 17 11
      HHs with income from business declined 110 69
      HHs with employees in business got laid-off 3 02
      HHs with member who lost job 90 28
      HHs with members who experienced wage reduction 74 23
      HHs with members who experienced reduction in working hours 65 2
      HHs with members who experienced reduction in employment benefits 8 03
      Table ___ Households coping strategies on tapping of various fund sources by location 2009
      Coping Strategies Total
      Magnitude Proportion
      Used savings 440 134
      Sold assets 64 2
      Pawned assets 157 48
      Tried to borrow money 1330 406
      Borrowed money 1290 394
      Defaulted on debt 193 59
      Table __ Households coping strategies on employment by location 2009
      Coping Strategies Total
      Magnitude Proportion
      Looked for additional work 183 56
      Did additional work 144 44
      Employed members not previously working 59 18
      Looked for work abroad 53 16
      rb_fn sex
      ARNOLD 1
      ANNIELYN 2
      ELMER 1
      ROLAN 1
      ARIES 1
      NORA 2
      LYDIA 2
      APOLINARIO 1
      No of Employed Persons With Reduced Benefits With Wage Reduction
      No No
      Male 2880 5 017 47 16
      Female 1750 3 017 36 21
      Total 4630 8 017 83 18
      rw_fn sex
      CALIXTO P 1
      GEDION 1
      ERNESTO JR 1
      RUBY ANN 2
      CAROLYN 2
      RAMIL 1
      JESS CHRISTOPHER 1
      EFREN 1
      ALFREDO 1
      ROSALIE 2
      PERCIVAL 1
      JOMER 1
      ARTURO 1
      ORLANDO SR 1
      ROBERTO 1
      DAISY 2
      VICTOR 1
      ARMAN SR 1
      MARIAN 2
      ANNIELYN 2
      ELMER 1
      NAIDA 2
      LEVY II 1
      OFELIA 2
      RODERICK 1
      ANNALYN 2
      ROLAN 1
      EFREN 1
      ROGELIO 1
      LOURDES 2
      JAIME 1
      LANIE 2
      ISABELITA 2
      PRISCILLA 2
      LELAND LLOYD 1
      RANDY 1
      ROLANDO JR 1
      MARILYN 2
      ERIC 1
      ROSEMARIE 2
      MAXIMA 2
      JAMES 1
      RAUL 1
      NICK 1
      NORMITA 2
      LORNA 2
      RONA 2
      NORA 2
      JOSEPH 1
      LERMA 2
      GEBOY 1
      SIMPLICIA 2
      NAZAR 1
      DELIA M 2
      NENITA 2
      JUVIELYN 2
      JOSEPHINE 2
      WILLIAM 1
      ROY VINCENT 1
      CLEOFAS 1
      ELYMAR 1
      BRIENDEL 1
      ANNALISA 2
      RAFAEL 1
      LAWRENCE R 1
      SHERWIN L 1
      NELLIE M 2
      LOVELYN 2
      REDEN 1
      MA CRISTINA 2
      JONALIE 2
      SHERYL 2
      ROLANDO 1
      MARY JANE 2
      JONEL 1
      ALBERT 1
      CARLOS 1
      HENRY 1
      GEMMA 2
      EDGARDO H 1
      LYDIA 2
      ROSITA 2
      ELVIS 1
      No of Employed Persons No of Members With Wage Reduction
      Male 2880 47 16
      Female 1750 36 21
      Total 4630 83 18
      Accessed NFA rice programe Quintile Total
      1 2 3 4 5
      Magnitude Magnitude Magnitude Magnitude Magnitude Magnitude
      Did avail 439 36 325 267 237 195 138 113 79 65 1218 100
      778 647 544 326 203 526
      Did not access 125 114 177 161 199 181 285 26 311 284 1097 100
      222 353 456 674 797 474
      Total 564 244 502 217 436 188 423 183 390 169 2315 100
      100 100 100 100 100 100
      Access to NFA rice program
      Quintile Magnitude Proportion Total No of HHs 100
      1 439 778 564
      2 325 647 502
      3 237 544 436
      4 138 326 423
      5 79 203 390
      Total 1218 526 2315
      Quintile Magnitude Share
      1 439 360
      2 325 267
      3 237 195
      4 138 113
      5 79 65
      Total 1218 1000
      rh_fn sex
      JOSE RUEL 1
      CAROLYN 2
      RICHARD 1
      BAMBI CORAZON 2
      MICHAEL 1
      EVANGELINE 2
      EDILBERTO 1
      ALFREDO 1
      ROSALIE 2
      LENY 2
      FERNANDO 1
      SHIELA 2
      JOMER 1
      ROBERTO 1
      DAISY 2
      ARMAN SR 1
      ELMER 1
      NAIDA 2
      RACHELY 2
      ANNALYN 2
      ROGELIO 1
      LOURDES 2
      ROGEL 1
      JAIME 1
      LANIE 2
      ISABELITA 2
      PRISCILLA 2
      LELAND LLOYD 1
      RANDY 1
      ROLANDO JR 1
      MARILYN 2
      ERIC 1
      ROSEMARIE 2
      MAXIMA 2
      JAMES 1
      NICK 1
      NORMITA 2
      LORNA 2
      RONA 2
      NORA 2
      JOSEPH 1
      GEBOY 1
      SIMPLICIA 2
      DELIA M 2
      JUVIELYN 2
      NENITA 2
      JOSEPHINE 2
      WILLIAM 1
      ROY VINCENT 1
      CLEOFAS 1
      ELYMAR 1
      BRIENDEL 1
      ANNALISA 2
      RAFAEL 1
      LAWRENCE R 1
      SHERWIN L 1
      NELLIE M 2
      LOVELYN 2
      REDEN 1
      MA CRISTINA 2
      JONALIE 2
      SHERYL 2
      ROLANDO 1
      MARY JANE 2
      JONEL 2
      ALBERT 1
      HENRY 1
      GEMMA 2
      EDGARDO H 1
      LYDIA 2
      ROSITA 2
      ELVIS 1
      HILDA 2
      No of Employed Persons No of Members With Reduced Working Hours
      Male 2880 37 13
      Female 1750 36 21
      Total 4630 73 16
      Type of Job Magnitude Proportion
      Plant and Machine Operators and Assemblers 35 480
      Service Workers and Shop and Market Sales Workers 14 192
      Officials of Government and Special-Interests 7 96
      Clerks 5 69
      Trades and Related Workers 3 41
      Laborers and Unskilled Workers 3 41
      Physical Mathematical and Engineering 2 27
      Technician and Associate Professionals 2 27
      Unspecified 2 27
      Total 73 100
      Type of Job Magnitude Proportion
      Plant and Machine Operators and Assemblers 35 480
      Service Workers and Shop and Market Sales Workers 14 192
      Officials of Government and Special-Interests 7 96
      Clerks 5 69
      Trades and Related Workers 3 41
      Laborers and Unskilled Workers 3 41
      Others (including unspecified) 6 82
      Total 73 100
      Program Rural Urban Outside NCR Urban NCR Total
      Ando Salvacion San Miguel Gumamela Magbangon Masikap Poblacion III Villa Angeles 192 No
      No of HHs 174 237 269 432 259 227 466 354 856 3274 1000
      PhilHealth-sponsored programf
      57 3 156 137 459 35 30 627 - 607 185
      Pantawid Pamilya Pilipino Program (4Ps)
      06 0 0 12 0 0 02 0 0 7 02
      NFA rice access program
      81 89 602 521 371 62 163 107 298 1218 372
      Comprehensive Livelihood amp Emergency Employment Program (CLEEP)
      06 0 04 0 0 0 04 0 01 5 02
      Self-Employment Assistance-Kaunlaran (SEA-K) 0 46 0 0 0 0 0 03 0 12 04
      Emergency loan for SSS members who were retrenched since Jan 2009 06 0 0 0 0 31 0 34 09 28 09
      Pag-ibig Special Short-term Loan (STL) Program for displaced workers 11 04 0 0 04 13 0 45 07 29 09
      6-month pay package for laid-off electronic workers 0 0 0 0 0 0 04 0 0 2 0
      Botika ng Barangay Program 86 447 26 25 69 22 185 06 65 403 123
      Day care center services 178 165 63 56 35 0 82 25 53 212 65
      Barangay health services 425 878 327 162 58 128 15 51 118 673 206
      A
      B
      C
      D
      E
      F
      G
      Industry Total Male Female
      No No No
      Private households with employed person 6 222 3 50 3 50
      Health and social work 5 186 1 20 4 80
      Manufacturing 4 148 4 100 0 0
      Transport storage and communication 3 111 3 100 0 0
      Financial intermediation 3 111 2 667 1 333
      Real estate renting and business activity 2 74 2 100 0 0
      Hotel and restaurants 1 37 1 100 0 0
      Wholesale amp retail trade repair of motor vehicles motorcycles and personal household goods 1 37 1 100 0 0
      Other community social and personal service activities 1 37 1 100 0 0
      Construction 1 37 1 100 0 0
      Total 27 100 19 704 8 296
      Male 19 704
      Female 8 296
      Industry Retrenched OFWs
      No
      Private households with employed person A 6 222
      Health and social work B 5 186
      Manufacturing C 4 148
      Transport storage and communication D 3 111
      Financial intermediation E 3 111
      Real estate renting and business activity F 2 74
      Others G 4 37
      Total 27 100
      Male 19 704
      Female 8 296
      26
      21
      19
      15
      8
      18
      Table __ Members who lost job by type of job
      Type of Job Magnitude Proportion
      Service workers and shop and market sal A 26 243
      Professionals B 21 196
      Laborers and skilled workers C 19 178
      Plant and machine operators and assembl D 15 140
      Technicians and associate professionals E 8 75
      Others F 18 168
      Total 107 1000
      Clerks 7 65
      Trades and related workers 7 65
      Officials of government and special interest 4 37
      Table ___ Members who lost job by industry
      Industry No
      Mining and quarying 2 187
      Manufacturing 22 2056
      Electricity gas and water supply 3 28
      Construction 3 28
      Wholesale amp retail trade repair of mot 8 748
      Hotel and restaurants 8 748
      Transport storage and communication 7 654
      Financial intermediation 5 467
      Real estate renting and business activ 2 187
      Public administration and defense comp 7 654
      Education 12 1121
      Health and social work 4 374
      Other community social and personal se 9 841
      Private households with employed person 14 1308
      Extra-territorial organizations and bod 1 093
      Total 107 100
      Q12004
      Q2
      Q3
      Q4
      Q12005
      Q2
      Q3
      Q4
      Q12006
      Q2
      Q3
      Q4
      Q12007
      Q2
      Q3
      Q4
      Q12008
      Q2
      Q3
      Q4
      Q12009
      Q2
      Growth Rate Real GDP Real GDP (PM)
      2004 Q1 72 271817 271817
      Q2 71 282939 282939
      Q3 56 279581 279581
      Q4 58 319959 319959
      2005 Q1 45 284063 284063
      Q2 51 297426 297426
      Q3 47 292665 292665
      Q4 54 337298 337298
      2006 Q1 55 299681 299681
      Q2 53 313112 313112
      Q3 52 30775 307750
      Q4 54 355613 355613
      2007 Q1 69 320326 320326
      Q2 83 339218 339218
      Q3 68 328795 328795
      Q4 63 378154 378154
      2008 Q1 39 33289 332890
      Q2 42 353331 353331
      Q3 46 343784 343784
      Q4 29 388948 388948
      2009 Q1 06 334866 334866
      Q2 15 35846 358460
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      71
      39
      Reason for the lost of Job Magnitude Proportion
      The firm is incurring losses 35 330
      The firm is downsizing and reducing costs 11 104
      The firm went bankrupt and closed 7 66
      Violated company lawsby-laws 3 28
      Corporate restructuring 1 09
      Others specify 49 462
      Outcome variables Magnitude Proportionb
      Dummy = 1 if OFW returned from abroad due to retrenchmentlay-off 27 162
      Dummy = 1 if OFW experienced wage reduction 41 94
      Dummy = 1 if remittances declined in terms of amount 40 92
      Dummy = 1 if remittances declined in terms of frequency 32 73
      Dummy = 1 if business closedshutdown 17 11
      Dummy = 1 if income from business declined 110 69
      Dummy = 1 if employees in business got laid-off 3 02
      Dummy = 1 if lost job 90 28
      Dummy = 1 if wage reduced 74 23
      Dummy = 1 if working hours reduced 65 2
      Dummy = 1 if employment benefits reduced 8 03
      Male
      Female
      Country Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Saudi Arabia 7 304 6 857 1 143
      United States of America 4 174 2 50 2 50
      Qatar 3 13 2 667 1 333
      United Kingdom 3 13 2 667 1 333
      Italy 2 87 1 50 1 50
      Others 8 348 6 75 2 25
      Total 27 100 19 704 8 296
      Country No of OFWs Retrenched OFWs
      Saudi Arabia 7 Male 19
      United States of America 4 Female 8
      Qatar 3
      United Kingdom 3
      Italy 2
      Others 8
      Total 27
      No of OFWs No of Retrenched OFWs
      Male 298 19 64
      Female 213 8 38
      Total 511 27 53
      A
      B
      C
      D
      E
      F
      Male
      Female
      Saudi Arabia
      USA
      Hong Kong SAR
      Qatar
      Singapore
      DPRK
      Others
      Unspecified
      wage Reduction
      Country Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Saudi Arabia 16 381 15 938 1 63 No of OFWs
      USA 4 95 4 100 0 0 Male 32
      Hong Kong SAR 4 95 1 25 3 75 Female 10 761904761905
      Qatar 3 71 2 667 1 333
      Singapore 2 48 2 100 0 0
      DPRK 2 48 2 100 0 0
      Others 8 191 3 375 5 625
      Unspecified 3 71 3 100 0 0
      Total 42 100 32 762 10 238
      Country No of OFWs
      Saudi Arabia 16
      USA 4
      Hong Kong SAR 4
      Qatar 3
      Singapore 2
      DPRK 2
      Others 8
      Unspecified 3
      Total 42
      No of OFWs No of OFWs who Experienced Wage Reduction
      Male 298 32 107
      Female 213 10 47
      Total 511 42 82
      Type of Job No Percent
      Service Workers and Shop and Market Sal 13 3095
      Technician and Associate Professionals 6 1429
      Trades and Related Workers 6 1429
      Laborers and Unskilled Workers 6 1429
      Plant and Machine Operators and Assembl 5 119
      Physical Mathematical and Engineering 3 714
      Officials of Government and Special-Int 2 476
      Special Occupations 1 238
      Total 42 100
      Type of Job No Percent
      Service Workers and Shop and Market Sal A 13 310
      Technician and Associate Professionals B 6 143
      Trades and Related Workers C 6 143
      Laborers and Unskilled Workers D 6 143
      Plant and Machine Operators and Assembl E 5 119
      Others F 6 143
      Total 42 1000
      Male Female Total
      No of OFWs 298 213 511
      No of OFWs who Experienced Wage Reduction 32 10 42
      107 47 82
      A
      B
      C
      D
      E
      Type of Job Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      All Occupations 27 100 19 704 8 296
      Professionals 9 333 5 556 4 444
      Service workers and shop and market sales worker 5 185 3 60 2 40
      Plant and machine operators and assemblers 5 185 5 100 0 0
      Trades and related workers 3 111 2 667 1 333
      Officials of government and special interest organization corporate executives managers managing proprietors and supervisors 1 37 1 100 0 0
      Technicians and associate professionals 1 37 1 100 0 0
      Clerks 1 37 1 100 0 0
      Laborers and skilled workers 1 37 1 100 0 0
      Special occupations 1 37 0 0 1 100
      Type of Job No of OFWs
      Professionals A 9
      Service workers and shop and market sales worker B 5
      Plant and machine operators and assemblers C 5
      Trades and related workers D 3
      Others E 5
      ofwfn sex ofwfn
      ELMIDA 2 ELMIDA 0
      FLORES 2 FLORES 0
      LILIA 2 LILIA 0
      ALONA 2 ALONA 0
      NOREEN 2 NOREEN 0
      MONICA 2 MONICA 0
      CARLITO 1 CARLITO 0
      MA NIMFA 2 MA NIMFA 0
      ELENA 2 ELENA 0
      ISIDRA 2 ISIDRA 0
      FELIZA 2 FELIZA 0
      REMEDIOS 2 REMEDIOS 0
      FELIXBERTO 1 FELIXBERTO 0
      MARTINA 2 MARTINA 0
      VIRGINE 2 VIRGINE 0
      EMILY 2 EMILY 0
      HAYDEE 2 HAYDEE 0
      NENITA 2 NENITA 0
      YOLANDA 2 YOLANDA 0
      EDGARDO 1 EDGARDO 0
      EMMA 2 EMMA 0
      DAN 1 DAN 0
      ROEL 1 ROEL 0
      GENARO 1 GENARO 0
      LINA 2 LINA 0
      ALPHA 2 ALPHA 0
      BLECHA 2 BLECHA 0
      MICHELE 2 MICHELE 0
      ABENCIO 1 ABENCIO 0
      RUBEN 1 RUBEN 0
      ANTONIA 2 ANTONIA 0
      LIZA 2 LIZA 0
      CRISTY 2 CRISTY 0
      SHERYL 2 SHERYL 0
      EVELYN 2 EVELYN 0
      MA GLORIA 2 MA GLORIA 0
      MARIE 2 MARIE 0
      MERIAM 2 MERIAM 0
      FILMA 2 FILMA 0
      ELSIE 2 ELSIE 0
      SHERLYN 2 SHERLYN 0
      MYRNA 2 MYRNA 0
      EVELYN 2 EVELYN 0
      ELDIE 2 ELDIE 0
      VILMA 2 VILMA 0
      CYRIL 2 CYRIL 0
      YOLANDA 2 YOLANDA 0
      JELANIE 2 JELANIE 0
      NOEMA 2 NOEMA 0
      EMMENUEL SR 1 EMMENUEL SR 0
      EMMA 2 EMMA 0
      ANALYN 2 ANALYN 0
      NIDA 2 NIDA 0
      LORNA 2 LORNA 0
      LELIA 2 LELIA 0
      VILMA 2 VILMA 0
      ETHELINDA 2 ETHELINDA 0
      MELANIO 1 MELANIO 0
      MYRNA 2 MYRNA 0
      MARY ANN 2 MARY ANN 0
      EMY 2 EMY 0
      EVA 2 EVA 0
      CONSHITA 2 CONSHITA 0
      LORNA 2 LORNA 0
      EVELYN 2 EVELYN 0
      NILCHA 2 NILCHA 0
      NIDA 2 NIDA 0
      TILLY 2 TILLY 0
      TERESITA 2 TERESITA 0
      NIMFA 2 NIMFA 0
      AGNES 2 AGNES 0
      NIMA 2 NIMA 0
      MARITES 2 MARITES 0
      MARINETTE 2 MARINETTE 0
      NIMFA 2 NIMFA 0
      FREDDIE 1 FREDDIE 0
      FELICITAS 2 FELICITAS 0
      SANDRO JR 1 SANDRO JR 0
      ELMER 1 ELMER 0
      MARIANEY 2 MARIANEY 0
      RIZA 2 RIZA 0
      GLENFORD 1 GLENFORD 0
      JONJIE 1 JONJIE 0
      EDWIN 1 EDWIN 0
      MANOLITO 1 MANOLITO 0
      PAULEEN 2 PAULEEN 0
      MANOLO 1 MANOLO 0
      KATE EDISON 2 KATE EDISON 0
      CIEDWUO 1 CIEDWUO 0
      GISELLE 2 GISELLE 0
      GEMMA 2 GEMMA 0
      ALEX 1 ALEX 0
      NELSA 2 NELSA 0
      ENGELBERT 1 ENGELBERT 0
      JULIET 2 JULIET 0
      HERDOLLY 2 HERDOLLY 0
      JAIME 1 JAIME 0
      WILLIAM 1 WILLIAM 0
      KATHLEEN 2 KATHLEEN 0
      DIOSDADO 1 DIOSDADO 0
      FRANCISCO 1 FRANCISCO 0
      ALBERTO 1 ALBERTO 0
      RHODORA 2 RHODORA 0
      RONALD 1 RONALD 0
      MARLYN 2 MARLYN 0
      ANNALY 2 ANNALY 0
      LUCAS 1 LUCAS 0
      ERLINDA 2 ERLINDA 0
      EDUARDO 1 EDUARDO 0
      FROILAN 1 FROILAN 0
      ELIZALDE 1 ELIZALDE 0
      DOROTHY 2 DOROTHY 0
      LAILA 2 LAILA 0
      PEPE 1 PEPE 0
      DENNIS 1 DENNIS 0
      MARK 1 MARK 0
      ERLINDA 2 ERLINDA 0
      DOMENADOR 1 DOMENADOR 0
      JOVY 2 JOVY 0
      JODY 2 JODY 0
      JAIME JR 1 JAIME JR 0
      LESTER 1 LESTER 0
      MELVIN 1 MELVIN 0
      JOSIE 2 JOSIE 0
      PAMELA 2 PAMELA 0
      ROWELL 1 ROWELL 0
      MERSILITA 2 MERSILITA 0
      DENCIO 1 DENCIO 0
      ROLLY 1 ROLLY 0
      CRIS MICHAEL 1 CRIS MICHAEL 0
      LUZEZY 2 LUZEZY 0
      JIM 1 JIM 0
      MAYMAY 2 MAYMAY 0
      ALLAN 1 ALLAN 0
      ROBERT 1 ROBERT 0
      ANTONIO 1 ANTONIO 0
      MENCHIE 2 MENCHIE 0
      MARCIAL 1 MARCIAL 0
      GINA 2 GINA 0
      RENWALDO 1 RENWALDO 0
      NERISSA 2 NERISSA 0
      GRACE 2 GRACE 0
      FAIDSA 2 FAIDSA 0
      TERISA 2 TERISA 0
      MARK ANTHONY 1 MARK ANTHONY 0
      DARIO 1 DARIO 0
      FATIMA 2 FATIMA 0
      ZORAYDA 2 ZORAYDA 0
      MICHAEL 1 MICHAEL 0
      RUSTY 1 RUSTY 0
      MERLYN 2 MERLYN 0
      PAMELA 2 PAMELA 0
      ROMEL 1 ROMEL 0
      MARK 1 MARK 0
      ALBERT 1 ALBERT 0
      ANNALIZA 2 ANNALIZA 0
      RAMIL 1 RAMIL 0
      THELMA 2 THELMA 0
      FERDINAND 1 FERDINAND 0
      HAROLD 1 HAROLD 0
      SONNY 1 SONNY 0
      ALFREDO 1 ALFREDO 0
      SALVADOR 1 SALVADOR 0
      ARLENE 2 ARLENE 0
      ARTURO 1 ARTURO 0
      OLIVIA 2 OLIVIA 0
      CARLO 1 CARLO 0
      ARMANDO 1 ARMANDO 0
      MARICEL 2 MARICEL 0
      DENNIS 1 DENNIS 0
      AUGOSTO 1 AUGOSTO 0
      SOFIA 2 SOFIA 0
      MICHAEL 1 MICHAEL 0
      ELIZABETH 2 ELIZABETH 0
      ERIC 1 ERIC 0
      ABDUL WAHAB 1 ABDUL WAHAB 0
      RODERICK 1 RODERICK 0
      MATILDE 2 MATILDE 0
      JARIEL 1 6 0
      ROMEO 1 ROMEO 0
      FERDINAND 1 FERDINAND 0
      MARISSA 2 MARISSA 0
      DARWIN 1 DARWIN 0
      DONALD 1 DONALD 0
      RAGIE 1 RAGIE 0
      ARNULFO 1 ARNULFO 0
      EDEN 2 EDEN 0
      EVELYN 2 EVELYN 0
      MARIA LIZA 2 MARIA LIZA 0
      MYRA 2 MYRA 0
      ERWIN 1 ERWIN 0
      OFELIA 2 OFELIA 0
      MARCIAL 1 MARCIAL 0
      CORAZON 2 CORAZON 0
      MARIANO 1 MARIANO 0
      BILLY JOHN 1 BILLY JOHN 0
      NENITA 2 NENITA 0
      MARICEL 2 MARICEL 0
      NEREN 1 NEREN 0
      DAISY 2 DAISY 0
      RUEL 1 RUEL 0
      CLEMENTE 1 CLEMENTE 0
      SALVADOR 1 SALVADOR 0
      GING-GING 2 GING-GING 0
      ARNEL 1 ARNEL 0
      LAURENCE 1 LAURENCE 0
      NORA 2 NORA 0
      JONATHAN 1 JONATHAN 0
      ISIDRO 1 ISIDRO 0
      MYLA 2 MYLA 0
      KRISTINE 2 KRISTINE 0
      WENEFREDO 1 WENEFREDO 0
      FLORDILIZA 2 FLORDILIZA 0
      TERESITA 2 TERESITA 0
      HILARIO 1 HILARIO 0
      ERVIO 1 ERVIO 0
      CRISANTO 1 CRISANTO 0
      JEROME 1 JEROME 0
      REYNALDO 1 REYNALDO 0
      LUISITO 1 LUISITO 0
      ARTURO 1 ARTURO 0
      ARLAN 1 ARLAN 0
      LENAND 1 LENAND 0
      ROMEL 1 ROMEL 0
      JOEL 1 JOEL 0
      GLENN 1 GLENN 0
      BEMEN 1 BEMEN 0
      LAARNI 2 LAARNI 0
      JASIIE 2 JASIIE 0
      GODOFREDO 1 GODOFREDO 0
      MILDRED 2 MILDRED 0
      JAZMIN 2 JAZMIN 0
      ERNESTO 1 ERNESTO 0
      JOSEPH 1 JOSEPH 0
      GERARDO 1 GERARDO 0
      JOAN 2 JOAN 0
      JASON 1 JASON 0
      MANOLITO 1 MANOLITO 0
      REYNALDO 1 REYNALDO 0
      EMIL 1 EMIL 0
      GERARDO SR 1 GERARDO SR 0
      RAEL 1 RAEL 0
      JANICE 2 JANICE 0
      ERLINDA 2 ERLINDA 0
      EMILIANO 1 EMILIANO 0
      CHRISTOPHER 1 CHRISTOPHER 0
      LAURENCE 1 LAURENCE 0
      RENATO 1 RENATO 0
      JEFFERSON 1 JEFFERSON 0
      JOEL 1 JOEL 0
      HENNRY 1 HENNRY 0
      SHERWIN 1 SHERWIN 0
      AMANTE 1 AMANTE 0
      RANDY 1 RANDY 0
      RAUL 1 RAUL 0
      ADAM 1 ADAM 0
      BENIGNO 1 BENIGNO 0
      PATRICK 1 PATRICK 0
      EDUARDO 1 EDUARDO 0
      MELVIN 1 MELVIN 0
      RICARDO 1 RICARDO 0
      ALEXANDER 1 ALEXANDER 0
      NICANDRO 1 NICANDRO 0
      RENATO 1 RENATO 0
      FEDERICO 1 FEDERICO 0
      CATHERINE 2 CATHERINE 0
      ISAGANI 1 ISAGANI 0
      FRANCO 1 FRANCO 0
      MAGTANNGOL 1 MAGTANNGOL 0
      MELINDA 2 MELINDA 0
      JERRY 1 JERRY 0
      JEMUEL 1 JEMUEL 0
      DEAN 2 DEAN 0
      DANILO 1 DANILO 0
      ALEJANDRO 1 ALEJANDRO 0
      DIOSCORO 1 DIOSCORO 0
      YOLANDA 2 YOLANDA 0
      BIENVINIDO 1 BIENVINIDO 0
      NICOMODUS 1 NICOMODUS 0
      RONALD 1 RONALD 0
      MICHAEL 1 MICHAEL 0
      JESSIE 1 JESSIE 0
      JANEL 2 JANEL 0
      ABRAHAM JR 1 ABRAHAM JR 0
      JOJO 1 JOJO 0
      LORETA 2 LORETA 0
      ROGELIO 1 ROGELIO 0
      CHERRY 2 CHERRY 0
      RODERICK 1 RODERICK 0
      CHRISTIAN 1 CHRISTIAN 0
      MARY JANE 2 MARY JANE 0
      LEONILO 1 LEONILO 0
      TOMAS 1 TOMAS 0
      MARK 1 MARK 0
      BERNIE 1 BERNIE 0
      MANUEL 1 MANUEL 0
      CARMELITA 2 CARMELITA 0
      JOEY 1 JOEY 0
      MAUREEN 2 MAUREEN 0
      ARISTOTELLE 1 ARISTOTELLE 0
      FERDINAND 1 FERDINAND 0
      MERVIN 1 MERVIN 0
      MANUEL 1 MANUEL 0
      ROLANDO 1 ROLANDO 0
      ROLLY 1 ROLLY 0
      ROMEL 1 ROMEL 0
      HILARION 1 HILARION 0
      NOEL 1 NOEL 0
      MARLON 1 MARLON 0
      SHIRLEY 2 SHIRLEY 0
      LIRA 2 LIRA 0
      ARMANDO 1 ARMANDO 0
      CESAR 1 CESAR 0
      PABLITO 1 PABLITO 0
      ROBERT 1 ROBERT 0
      ]MARGIE 2 ]MARGIE 0
      ERWIN 1 ERWIN 0
      JAYVEE 1 JAYVEE 0
      PATRICIO 1 PATRICIO 0
      EDWARD 1 EDWARD 0
      CHRISTOPHER 1 CHRISTOPHER 0
      RODOLFO 1 RODOLFO 0
      ROMANO 1 ROMANO 0
      ISAIAS 1 ISAIAS 0
      DELMAR 1 DELMAR 0
      CESAR 1 CESAR 0
      RONELITO 1 RONELITO 0
      CHONA 2 CHONA 0
      ARNOLD 1 ARNOLD 0
      RONALDO 1 RONALDO 0
      EDGARDO 1 EDGARDO 0
      JOMMEL 1 JOMMEL 0
      JERRY 1 JERRY 0
      ROMEO 1 ROMEO 0
      RICARDO 1 RICARDO 0
      ZYRA 2 ZYRA 0
      JOHN FREDIRECK 1 JOHN FREDIRECK 0
      PEARLIE 2 PEARLIE 0
      CARLOS 1 CARLOS 0
      ERVIEL FELIX 1 ERVIEL FELIX 0
      RICARDO 1 RICARDO 0
      ARCHIMEDES 1 ARCHIMEDES 0
      ALFREDO JR 1 ALFREDO JR 0
      JOY 2 JOY 0
      ARIEL 1 ARIEL 0
      TERESITA 2 TERESITA 0
      WILFREDO JR 1 WILFREDO JR 0
      ANTONIO 1 ANTONIO 0
      RUBY 2 RUBY 0
      KRISTINE ANN 2 KRISTINE ANN 0
      OFELIA 2 OFELIA 0
      JOCELYN 2 JOCELYN 0
      RAFAEL 1 RAFAEL 0
      JULIUS 1 JULIUS 0
      LAWRENCE 1 LAWRENCE 0
      LITO 1 LITO 0
      DONNA 2 DONNA 0
      HELEN 2 HELEN 0
      EDGARDO 1 EDGARDO 0
      RODRIGO 1 RODRIGO 0
      MAMERTA JR 1 MAMERTA JR 0
      MANUEL 1 MANUEL 0
      NATIVIDAD 2 NATIVIDAD 0
      SHIELA MARIE 2 SHIELA MARIE 0
      ESTELITA 2 ESTELITA 0
      ARNOLD 1 ARNOLD 0
      DANILO 1 DANILO 0
      NESTOR 1 NESTOR 0
      JULIET 2 JULIET 0
      EDGAR 1 EDGAR 0
      CARLITO 1 CARLITO 0
      WILFREDO 1 WILFREDO 0
      MELCHORA 2 MELCHORA 0
      EMILY 2 EMILY 0
      MICHOYO 1 MICHOYO 0
      ENGKWEE 1 ENGKWEE 0
      EVELYN 2 EVELYN 0
      GLENDA 2 GLENDA 0
      HILDA 2 HILDA 0
      CARMEN 2 CARMEN 0
      AGNES 2 AGNES 0
      ROGELIO 1 ROGELIO 0
      FERDINAN 1 FERDINAN 0
      LARRY 1 LARRY 0
      LEN 2 LEN 0
      MARIA CONCEPCION 2 MARIA CONCEPCION 0
      MARCILA 2 MARCILA 0
      DIVINA 2 DIVINA 0
      GARIZALDE 1 GARIZALDE 0
      JUDITH 2 JUDITH 0
      NIKO 1 NIKO 0
      EDUARDO 1 EDUARDO 0
      JESIE 1 JESIE 0
      EILEEN 2 EILEEN 0
      ERICKSON 1 ERICKSON 0
      GEMMERICK 1 GEMMERICK 0
      ALAN 1 ALAN 0
      EVANGELINE 2 EVANGELINE 0
      NAVIL 1 NAVIL 0
      JERAMINE 1 JERAMINE 0
      RHODORA 2 RHODORA 0
      REYNALDO 1 REYNALDO 0
      TERRY JOY 2 TERRY JOY 0
      DIONA 2 DIONA 0
      NOEMI 2 NOEMI 0
      MINERVA 2 MINERVA 0
      EDGARDO 1 EDGARDO 0
      ROLAND 1 ROLAND 0
      JOSE 1 JOSE 0
      CRISTINA 2 CRISTINA 0
      DOREEN 2 DOREEN 0
      BRYAN 1 BRYAN 0
      SOFRONIA 2 SOFRONIA 0
      PZSTOR 1 PZSTOR 0
      RONALD 1 RONALD 0
      ANTONIO 1 ANTONIO 0
      LOUIE 1 LOUIE 0
      LEVITO 1 LEVITO 0
      ASUNCION 2 ASUNCION 0
      EDWIN 1 EDWIN 0
      BABYLYN 2 BABYLYN 0
      VON 1 VON 0
      JENALYN 2 JENALYN 0
      LEONORA 2 LEONORA 0
      NOLI 1 NOLI 0
      RYAN MARK 1 RYAN MARK 0
      PERCIVAL 1 PERCIVAL 0
      LORENZO A 1 LORENZO A 0
      SIGRID ERCE 1 SIGRID ERCE 0
      ALVIN 1 ALVIN 0
      EMMALYN 2 EMMALYN 0
      ALIAH INGRID 2 ALIAH INGRID 0
      JOSE 1 JOSE 0
      CORAZON 2 CORAZON 0
      MARLYN 2 MARLYN 0
      VINCENTE 1 VINCENTE 0
      BELTRAN 1 BELTRAN 0
      JANET 2 JANET 0
      MARINA 2 MARINA 0
      NOEL 1 NOEL 0
      FLORENTINO 1 FLORENTINO 0
      GILBERTO 1 GILBERTO 0
      RONAN 1 RONAN 0
      VICTORIA 2 VICTORIA 0
      ALFREDO 1 ALFREDO 0
      MARCELA E 2 MARCELA E 0
      ALMA 2 ALMA 0
      RICKY 1 RICKY 0
      MARGARITTA 2 MARGARITTA 0
      LORNA MARLENE 2 LORNA MARLENE 0
      WILLIAM 1 WILLIAM 0
      FELIMON 1 FELIMON 0
      NELSON 1 NELSON 0
      DAISY 2 DAISY 0
      MA TERESA 2 MA TERESA 0
      FRANCISCO 1 FRANCISCO 0
      ARTHURO JR 1 ARTHURO JR 0
      PHILIP JUDAL 1 PHILIP JUDAL 0
      PHILIP JOAN 1 PHILIP JOAN 0
      DANELITH 2 DANELITH 0
      DENNIS 1 DENNIS 0
      RICARDO 1 RICARDO 0
      DAVE 1 DAVE 0
      MAY SHELLY 2 MAY SHELLY 0
      OLIVER 1 OLIVER 0
      ESMERALDO 1 ESMERALDO 0
      JOEL 1 JOEL 0
      JERRY 1 JERRY 0
      EFRIEM 1 EFRIEM 0
      RONALD 1 RONALD 0
      ELVIRA 2 ELVIRA 0
      EUGENIO JR 1 EUGENIO JR 0
      WILFREDO 1 WILFREDO 0
      HUBENCIO 1 HUBENCIO 0
      EDGARDO 1 EDGARDO 0
      BONNE RISA 2 BONNE RISA 0
      FERDINAND 1 FERDINAND 0
      JUANITO 1 JUANITO 0
      JESSIE 1 JESSIE 0
      ANTONIO 1 ANTONIO 0
      PARLIE 2 PARLIE 0
      RANDOLPH 1 RANDOLPH 0
      CEASAR 1 CEASAR 0
      CATHERINE 2 CATHERINE 0
      CHRISTOPHER 1 CHRISTOPHER 0
      LIMUEL 1 LIMUEL 0
      ANALIZA 2 ANALIZA 0
      AMIE 2 AMIE 0
      RODERICK 1 RODERICK 0
      MARICEL 2 MARICEL 0
      MARJORIE 2 MARJORIE 0
      BERNARDO 1 BERNARDO 0
      VICENTE 1 VICENTE 0
      GARITO 1 GARITO 0
      HARLENE 2 HARLENE 0
      HARRIST 1 HARRIST 0
      DONALD 1 DONALD 0
      DONNA 2 DONNA 0
      BRYAN 1 BRYAN 0
      ARMANDO 1 ARMANDO 0
      RITCHELL 1 RITCHELL 0
      ARTHUR 1 ARTHUR 0
      SHIELA ANN 2 SHIELA ANN 0
      PETER LLOYD 1 PETER LLOYD 0
      SAMUEL 1 SAMUEL 0
      CYNTHIA 2 CYNTHIA 0
      ALLAN 1 ALLAN 0
      DENNIS JR 1 DENNIS JR 0
      LEO MARK 1 LEO MARK 0
      IMELDA 2 IMELDA 0
      EDDIE 1 EDDIE 0
      Asia
      Europe
      North America
      Australia
      barangay Freq Percent Cum
      183 3484 535 7468
      201 2947 453 100
      184 2141 329 7797
      194 1534 236 9129
      193 1524 234 8893
      145 1150 177 4927
      191 995 153 8531
      179 939 144 6762
      14 937 144 489
      190 904 139 8378
      172 861 132 6195
      177 850 131 6494
      192 836 128 8659
      46 808 124 1339
      178 804 123 6618
      187 802 123 8144
      165 793 122 5781
      156 755 116 5327
      185 755 116 7913
      197 738 113 9363
      186 702 108 8021
      169 641 098 5956
      199 620 095 9504
      130 615 094 4101
      144 580 089 475
      143 575 088 4661
      65 567 087 2012
      135 529 081 4406
      132 505 078 4218
      148 497 076 5056
      157 497 076 5403
      195 493 076 9205
      66 485 074 2087
      171 479 074 6063
      43 442 068 1157
      90 441 068 2702
      127 419 064 3961
      161 416 064 554
      61 412 063 1835
      4 408 063 15
      72 400 061 23
      182 387 059 6933
      110 380 058 3368
      134 379 058 4325
      180 377 058 682
      108 372 057 3271
      107 364 056 3214
      189 356 055 8239
      181 350 054 6874
      162 345 053 5593
      51 341 052 1469
      153 341 052 5171
      113 338 052 3477
      52 336 052 1521
      100 322 049 3024
      58 321 049 1714
      125 316 049 3878
      133 315 048 4267
      176 313 048 6364
      99 304 047 2974
      137 304 047 4495
      94 299 046 2811
      198 299 046 9409
      147 295 045 498
      196 291 045 9249
      54 289 044 1587
      38 287 044 969
      2 286 044 064
      164 286 044 566
      173 284 044 6239
      200 284 044 9547
      77 282 043 2413
      57 279 043 1665
      123 279 043 3789
      5 278 043 193
      136 275 042 4448
      118 269 041 3645
      175 268 041 6316
      188 266 041 8185
      64 264 041 1925
      111 264 041 3409
      124 261 04 3829
      131 261 04 4141
      166 259 04 5821
      23 257 039 668
      8 254 039 264
      69 253 039 219
      109 250 038 331
      117 246 038 3604
      42 238 037 1089
      98 237 036 2928
      60 235 036 1772
      174 234 036 6274
      67 233 036 2123
      88 232 036 2618
      119 231 035 3681
      62 228 035 187
      40 219 034 1032
      170 217 033 5989
      104 216 033 3112
      97 214 033 2891
      91 207 032 2734
      114 206 032 3509
      115 206 032 354
      70 203 031 2221
      106 198 03 3158
      122 198 03 3746
      47 193 03 1368
      44 190 029 1186
      160 190 029 5476
      32 188 029 836
      39 187 029 998
      68 187 029 2151
      45 183 028 1214
      30 180 028 783
      18 176 027 549
      16 174 027 519
      22 173 027 629
      34 172 026 88
      75 172 026 2361
      96 170 026 2858
      116 169 026 3566
      73 168 026 2326
      155 166 025 5211
      10 164 025 3
      121 160 025 3716
      13 159 024 345
      83 158 024 2519
      159 158 024 5447
      102 157 024 3055
      128 157 024 3985
      3 153 023 087
      19 153 023 573
      31 153 023 807
      103 152 023 3079
      7 147 023 225
      29 147 023 756
      163 147 023 5616
      50 146 022 1417
      37 145 022 925
      53 142 022 1542
      140 141 022 4547
      59 138 021 1736
      41 137 021 1053
      152 137 021 5119
      129 136 021 4006
      95 135 021 2832
      1 129 02 02
      26 127 02 708
      80 127 02 2466
      92 126 019 2753
      158 126 019 5423
      167 126 019 5841
      79 125 019 2447
      126 125 019 3897
      138 125 019 4514
      81 123 019 2485
      21 122 019 602
      55 122 019 1606
      86 121 019 2568
      33 114 018 853
      71 114 018 2239
      84 113 017 2536
      36 111 017 903
      168 110 017 5857
      56 109 017 1622
      89 108 017 2634
      48 106 016 1384
      112 106 016 3425
      151 106 016 5098
      105 105 016 3128
      28 98 015 733
      154 96 015 5186
      63 95 015 1885
      87 94 014 2582
      78 93 014 2427
      141 88 014 456
      150 87 013 5081
      85 86 013 2549
      142 83 013 4573
      93 80 012 2766
      12 76 012 321
      9 75 012 275
      149 75 012 5068
      24 72 011 679
      139 71 011 4525
      20 69 011 583
      120 69 011 3691
      25 64 01 689
      49 64 01 1394
      27 63 01 718
      6 62 01 202
      82 61 009 2494
      74 58 009 2335
      11 55 008 309
      76 55 008 237
      146 50 008 4935
      101 49 008 3031
      35 41 006 886
      15 24 004 493
      17 19 003 522
      Total 65116 100
      TYPE OF EXPENDITURE DIRECTION OF CHANGE
      Increase Remained the Same Decrease Not Applicable Prop-Increase Pro-Same Prop -decrease
      Food 1970 1054 236 - 3260 604 323 72
      Clothing 756 1739 765 - 3260 232 533 235
      Cooking Fuel 952 1893 415 - 3260 292 581 127
      Electricity 1715 1013 206 - 2934 585 345 70
      Water 804 1610 176 670 2590 310 622 68
      Education 545 1135 142 1438 1822 299 623 78
      Health 725 1451 436 648 2612 278 556 167
      Communication 578 1413 544 725 2535 228 557 215
      Transportation 570 1699 498 493 2767 206 614 180
      Recreation 223 1205 760 1072 2188 102 551 347
      Saudi Arabia
      United States of America
      Qatar
      United Kingdom
      Italy
      Others
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      Unemployment Rate
      2004 Jan 110
      Apr 137
      Jul 117
      Oct 109
      2005 Jan 113
      Apr 83
      Jul 77
      Oct 74
      2006 Jan 81
      Apr 82
      Jul 80
      Oct 73
      2007 Jan 78
      Apr 74
      Jul 78
      Oct 63
      2008 Jan 74
      Apr 80
      Jul 74
      Oct 68
      2009 Jan 77
      Apr 75
      Jul 76
      Unemployment Rate
      Q12004 11
      Q22004
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      FOB Value Growth rate year-on-year
      2007 Jan 39869 218
      Feb 37173 78
      Mar 44775 73
      Apr 41173 51
      May 41216 61
      Jun 41167 15
      Jul 41880 43
      Aug 41041 (40)
      Sep 43725 46
      Oct 46484 105
      Nov 39475 (21)
      Dec 44724 214
      2008 Jan 42306 60
      Feb 41120 105
      Mar 41931 (66)
      Apr 43247 49
      May 42241 23
      Jun 45134 88
      Jul 44372 44
      Aug 43930 66
      Sep 44387 11
      Oct 39710 (148)
      Nov 35130 (114)
      Dec 26746 (403)
      2009 Jan 251119 (406)
      Feb 250629 (391)
      Mar 290673 (308)
      Apr 280311 (352)
      May 308786 (269)
      Jun 340630 (248)
      Jul 331077 (254)
      Aug 347289 (210)
      Sep 363398 (183)
      2007 2008 2009
      Month FOB Value Growth Rates FOB Value Growth Rates FOB Value Growth Rates
      Jan 39869 218 42306 60 251119 (406)
      Feb 37173 78 41120 105 250629 (391)
      Mar 44775 73 41931 (66) 290673 (308)
      Apr 41173 51 43247 49 280311 (352)
      May 41216 61 42241 23 308786 (269)
      Jun 41167 15 45134 88 340630 (248)
      Jul 41880 43 44372 44 331077 (254)
      Aug 41041 (40) 43930 66 347289 (210)
      Sep 43725 46 44387 11 363398 (183)
      Oct 46484 105 39710 (148)
      Nov 39475 (21) 35130 (114)
      Dec 44724 214 26746 (403)
      2007 2008 2009
      Month Levels Growth Rates Levels Growth Rates Levels Growth Rates
      Jan 10994 199 12640 150 12655 01
      Feb 10855 254 12586 159 13200 49
      Mar 13048 264 14278 94 14715 31
      Apr 11915 326 14102 184 14417 22
      May 12371 84 14298 156 14822 37
      Jun 11158 10 14508 300 14987 33
      Jul 10966 46 13668 246 14940 93
      Aug 12069 106 13320 104 13691 28
      Sep 11398 124 13329 169
      Oct 13885 171 14347 33
      Nov 11870 38 13113 105
      Dec 13970 59 14077 08
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      Amount Growth rate year-on-year
      2007 Jan 10994 199
      Feb 10855 254
      Mar 13048 264
      Apr 11915 326
      May 12371 84
      Jun 11158 10
      Jul 10966 46
      Aug 12069 106
      Sep 11398 124
      Oct 13885 171
      Nov 11870 38
      Dec 13970 59
      2008 Jan 12640 150
      Feb 12586 159
      Mar 14278 94
      Apr 14102 184
      May 14298 156
      Jun 14508 300
      Jul 13668 246
      Aug 13320 104
      Sep 13329 169
      Oct 14347 33
      Nov 13113 105
      Dec 14077 08
      2009 Jan 12655 01
      Feb 13200 49
      Mar 14715 31
      Apr 14417 22
      May 14822 37
      Jun 14987 33
      Jul 14940 93
      Aug 13691 28
      Jan2007
      Apr
      Jul
      Oct
      Jan2008
      Apr
      Jul
      Oct
      Jan2009
      Apr
      Jul
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      Unemployment Rate
      2004 Q1 110
      Q2 137
      Q3 117
      Q4 109
      2005 Q1 113
      Q2 83
      Q3 77
      Q4 74
      2006 Q1 81
      Q2 82
      Q3 80
      Q4 73
      2007 Q1 78
      Q2 74
      Q3 78
      Q4 63
      2008 Q1 74
      Q2 80
      Q3 74
      Q4 68
      2009 Q1 77
      Q2 75
      Q3 76
      Unemployment Rate
      Q12004 11
      Q22004
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      FOB Value Growth rate year-on-year
      2007 Jan 39869 218
      Feb 37173 78
      Mar 44775 73
      Apr 41173 51
      May 41216 61
      Jun 41167 15
      Jul 41880 43
      Aug 41041 (40)
      Sep 43725 46
      Oct 46484 105
      Nov 39475 (21)
      Dec 44724 214
      2008 Jan 42306 60
      Feb 41120 105
      Mar 41931 (66)
      Apr 43247 49
      May 42241 23
      Jun 45134 88
      Jul 44372 44
      Aug 43930 66
      Sep 44387 11
      Oct 39710 (148)
      Nov 35130 (114)
      Dec 26746 (403)
      2009 Jan 251119 (406)
      Feb 250629 (391)
      Mar 290673 (308)
      Apr 280311 (352)
      May 308786 (269)
      Jun 340630 (248)
      Jul 331077 (254)
      Aug 347289 (210)
      Sep 363398 (183)
      2007 2008 2009
      Month FOB Value Growth Rates FOB Value Growth Rates FOB Value Growth Rates
      Jan 39869 218 42306 60 251119 (406)
      Feb 37173 78 41120 105 250629 (391)
      Mar 44775 73 41931 (66) 290673 (308)
      Apr 41173 51 43247 49 280311 (352)
      May 41216 61 42241 23 308786 (269)
      Jun 41167 15 45134 88 340630 (248)
      Jul 41880 43 44372 44 331077 (254)
      Aug 41041 (40) 43930 66 347289 (210)
      Sep 43725 46 44387 11 363398 (183)
      Oct 46484 105 39710 (148)
      Nov 39475 (21) 35130 (114)
      Dec 44724 214 26746 (403)
      2007 2008 2009
      Month Levels Growth Rates Levels Growth Rates Levels Growth Rates
      Jan 10994 199 12640 150 12655 01
      Feb 10855 254 12586 159 13200 49
      Mar 13048 264 14278 94 14715 31
      Apr 11915 326 14102 184 14417 22
      May 12371 84 14298 156 14822 37
      Jun 11158 10 14508 300 14987 33
      Jul 10966 46 13668 246 14940 93
      Aug 12069 106 13320 104 13691 28
      Sep 11398 124 13329 169
      Oct 13885 171 14347 33
      Nov 11870 38 13113 105
      Dec 13970 59 14077 08
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      Amount Growth rate year-on-year
      2007 Jan 10994 199
      Feb 10855 254
      Mar 13048 264
      Apr 11915 326
      May 12371 84
      Jun 11158 10
      Jul 10966 46
      Aug 12069 106
      Sep 11398 124
      Oct 13885 171
      Nov 11870 38
      Dec 13970 59
      2008 Jan 12640 150
      Feb 12586 159
      Mar 14278 94
      Apr 14102 184
      May 14298 156
      Jun 14508 300
      Jul 13668 246
      Aug 13320 104
      Sep 13329 169
      Oct 14347 33
      Nov 13113 105
      Dec 14077 08
      2009 Jan 12655 01
      Feb 13200 49
      Mar 14715 31
      Apr 14417 22
      May 14822 37
      Jun 14987 33
      Jul 14940 93
      Aug 13691 28
      Jan2007 Jan2007
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2008 Jan2008
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2009 Jan2009
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Site No of HHs Pantawid Pamilya Pilipino Program (4Ps) NFA rice access program Comprehensive Livelihood amp Emergency Employment Program (CLEEP) Self-Employment Assistance-Kaunlaran (SEA-K) Emergency loan for SSS members who were retrenched since Jan 2009 Pag-ibig Special Short-term Loan (STL) Program for displaced workers 6-month pay package for laid-off electronic workers Botika ng Barangay Program Day care center services Barangay health services
      Rural
      Ando 174 57 06 81 06 0 06 11 0 86 178 425
      Salvacion 237 3 0 89 0 46 0 04 0 447 165 878
      San Miguel 269 156 0 602 04 0 0 0 0 26 63 327
      Urban Outside NCR
      Gumamela 432 137 12 521 0 0 0 0 0 25 56 162
      Magbangon 259 459 0 371 0 0 0 04 0 69 35 58
      Masikap 227 35 0 62 0 0 31 13 0 22 0 128
      Poblacion III 466 30 02 163 04 0 0 0 04 185 82 15
      Villa Angeles 354 627 0 107 0 03 34 45 0 06 25 51
      Urban NCR
      192 856 - 0 298 01 0 09 07 0 65 53 118
      TOTAL
      No 3274 607 7 1218 5 12 28 29 2 403 212 673
      1000 185 02 372 02 04 09 09 0 123 65 206
      Total Male Female
      Region Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Asia 15 555 12 80 3 20
      Europe 6 222 4 667 2 333
      North America 5 185 3 60 2 40
      Australia 1 37 0 0 1 100
      Total 27 100 19 704 7 296
      Region No of OFWs
      Asia 15
      Europe 6
      North America 5
      Australia 1
      Total 27
      All Sectors Manufacturing
      2007 Q1 156 -046
      Q2 357 03
      Q3 331 -008
      Q4 287 081
      2008 Q1 476 386
      Q2 199 0
      Q3 205 -037
      Q4 069 01
      2009 Q1 027 -138
      Q2 221 224
      Q12007 Q12007
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12008 Q12008
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12009 Q12009
      Q2 Q2
      withdrawsy_fn withdrawsy_fn sex
      ELMER JR 1 DENESSA 2
      REYNAN 1 ELMER JR 1
      ROBERT 1 ARMIE 2
      CARYLLE KAYE 2 GILBERT 1
      ALVIN 1 DANTE 1
      KIETH CYRILL 1 RONALD 1
      JOVEN 1 JALLY 2
      BENIGNO 1 REYNAN 1
      ALVIN 1 ROBERT 1
      DENMARK E 1 BRENDA 2
      DON CARLO D 1 BEBETH 2
      DENESSA 2 ALVIN 1
      GILBERT 1 MA FE 2
      DANTE 1 YMEL 1
      REGGIE 1 JOVEN 1
      RONALD 1 JOHN MANUEL 1
      JALLY 2 JUN-JUN 1
      KOBE BRYAN 1 JOHN LUIS 1
      MA FE 2 KENNETH 1
      YMEL 1 MA ELINA 2
      BRENDA 2 BERSON 1
      FRANCIS EDD 1 GLENN IRETH 1
      FRANCIS GABRIELLE 1 ALVIN 1
      JOHN MICO 1 DENMARK E 1
      OMAR JOSEPH 1 DON CARLO D 1
      DHANVER 1 DHANVER 1
      BEBETH 2 KOBE BRYAN 1
      ARMIE 2 REGGIE 1
      BERSON 1 KIETH CYRILL 1
      GLENN IRETH 1 CARYLLE KAYE 2
      JOHN MANUEL 1 BENIGNO 1
      MA ELINA 2 JOHN MICO 1
      JUN-JUN 1 OMAR JOSEPH 1
      JOHN LUIS 1 FRANCIS EDD 1
      KENNETH 1 FRANCIS GABRIELLE 1
      No No of Withdrawn Children
      Male 2093 27 13 2066 27
      Female 1916 8 04 1908 8
      Total 4009 35 17
      privtopubsy_fn sex
      RINA 2
      MARIEL 2
      JOHN DANE 1
      JOSHUA 1
      ROLANDO 1
      GERALDWIN 1
      SAVINA 2
      AIKE 1
      HAROLD 1
      DARREL 1
      ARVIN 1
      PAUL JOHN 1
      JAN AIGRETTE 2
      MARIA CLAUDINE 2
      GERRY 1
      DOMINIC ALLEYAH 2
      No of Students No of Children who Shifted from Private to Public School
      Male 2066 10 05
      Female 1908 8 04
      Total 3974 18 09
      Gross Domestic Product Net Factor Income from Abroad and Gross National Product1st Qtr 2003 -2nd Qtr 2009(in million PhP)
      Period At Current Prices At Constant 1985 Prices
      GDP NFIA GNP GDP NFIA GNP
      2003 4316402 315077 4631479 1085072 86359 1171431
      Q1 994224 68550 1062773 253672 19168 272840
      Q2 1032440 80778 1113218 264189 22243 286432
      Q3 1057502 83314 1140816 264671 22665 287337
      Q4 1232236 82435 1314672 302539 22283 324822
      2004 4871555 376509 5248064 1154295 98036 1252331
      Q1 1109078 84329 1193407 271817 22828 294644
      Q2 1170574 97245 1267820 282939 25580 308518
      Q3 1198554 97202 1295756 279581 24853 304443
      Q4 1393348 97733 1491081 319959 24776 344735
      2005 5444038 447145 5891183 1211452 108548 1320000
      Q1 1234383 100221 1336605 284063 25239 309303
      Q2 1316400 112436 1428836 297426 27429 324855
      Q3 1334509 107281 1441790 292665 25680 318345
      Q4 1558746 127206 1685953 337298 30199 367497
      2006 6031164 500940 6532104 1276156 115133 1391289
      Q1 1386083 112729 1489912 299681 26491 326172
      Q2 1454772 129652 1584423 313112 29825 342937
      Q3 1476946 113828 1590774 307750 26008 333757
      Q4 1713364 144731 1858095 355613 32808 388421
      2007 6647338 579974 7227312 1366493 129098 1495589
      Q1 1523149 117930 1641079 320326 26866 347192
      Q2 1617711 160029 1777741 339218 35809 375026
      Q3 1610729 152413 1763142 328795 33671 362466
      Q4 1895749 149601 2045350 378154 32750 410905
      2008 7423213 827036 8250249 1418952 168845 1587797
      Q1 1660335 168092 1828427 332890 36603 369494
      Q2 1833916 201478 2035395 353331 41456 394787
      Q3 1853440 209295 2062735 343784 41280 385063
      Q4 2075522 248170 2323692 388948 49507 438454
      2009
      Q1 1738762 230951 1969713 334866 46035 380901
      Q2 1869888 274822 2144710 358460 53758 412218
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      Sex Lost job Individuals who lost job
      Magnitude Proportion Individuals who Lost Job Members of the Labor Force
      Total 107 100 Male 65 3213 20
      Female 42 2036 21
      Male 65 608 Total 107 5249 41
      Female 42 393
      Statistics Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Population 15 years and over 9657 100 4765 493 4892 507
      Labor force 5249 100 3213 612 2036 388
      Employed persons 4630 100 2880 622 1750 378
      Unemployed persons 619 100 333 538 286 462
      Labor force participation rate 544 674 416
      Employment rate 882 896 86
      Unemployment rate 118 104 14
      Indicator Magnitude
      No of Households 3274
      HH with member who lost job 90 28
      Statistics Total Male Female
      No No
      Population 15 years and over 9657 4765 493 4892 507
      Labor force 5249 3213 612 2036 388
      Employed persons 4630 2880 622 1750 378
      Unemployed persons 619 333 538 286 462
      Indicator Rural Urban NCR Urban Outside NCR Total
      Magnitude Proportion Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH with returning OFW 17 246 26 366 124 413 167 38
      HH with returning OFW who was retrenched or laid off from work 2 118 2 77 23 185 27 162
      HH with OFW who experienced wage reduction 2 29 11 155 28 93 41 94
      HH who received remittances during the past 12 months 63 913 60 845 264 88 387 88
      HH who received remittances during the past 6 months 67 971 71 100 298 993 436 991
      HH who experienced a decline in the amount of remittances received 7 104 13 183 20 67 40 92
      HH who experienced a decline in the frequency of receipt of remittances 4 6 9 127 19 64 32 73
      Indicator Rural Urban NCR Urban Outside NCR Total
      Magnitude Proportion Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH with OFW who experienced wage reduction 2 29 11 155 28 93 41 94
      Area Households HHs with OFW HH with OFW who experienced wage reduction
      Rural No 680 69 2
      101 29
      Urban NCR No 856 71 11
      83 155
      Urban Outside NCR No 1738 300 28
      173 93
      Total No 3274 440 41
      134 94
      Indicator Rural Urban NCR Urban Outside NCR Total
      No No No No
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH who received remittances during the past 6 months 67 971 71 100 298 993 436 991
      HH who experienced a decline in the amount of remittances received 7 104 13 183 20 67 40 92
      HH who experienced a decline in the frequency of receipt of remittances 4 6 9 127 19 64 32 73
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      Growth Rate Real GDP Real GDP (PM)
      2003 Q1 253672 253672
      Q2 264189 264189
      Q3 264671 264671
      Q4 302539 302539
      2004 Q1 72 271817 271817
      Q2 71 282939 282939
      Q3 56 279581 279581
      Q4 58 319959 319959
      2005 Q1 45 284063 284063
      Q2 51 297426 297426
      Q3 47 292665 292665
      Q4 54 337298 337298
      2006 Q1 55 299681 299681
      Q2 53 313112 313112
      Q3 52 30775 307750
      Q4 54 355613 355613
      2007 Q1 69 320326 320326
      Q2 83 339218 339218
      Q3 68 328795 328795
      Q4 63 378154 378154
      2008 Q1 39 33289 332890
      Q2 42 353331 353331
      Q3 46 343784 343784
      Q4 29 388948 388948
      2009 Q1 06 334866 334866
      Q2 15 35846 358460
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      Outcome variables Magnitude
      Overseas Employment and Remittances
      HHs with OFW who returned from abroad due to retrenchmentlay-off 27 61
      HHs with OFW who experienced wage reduction 41 94
      HHs with remittances declined in terms of amount 40 92
      HHs with remittances declined in terms of frequency 32 73
      Local Employment
      HHs with business closedshutdown 17 11
      HHs with income from business declined 110 69
      HHs with employees in business got laid-off 3 02
      HHs with member who lost job 90 28
      HHs with members who experienced wage reduction 74 23
      HHs with members who experienced reduction in working hours 65 2
      HHs with members who experienced reduction in employment benefits 8 03
      Table ___ Households coping strategies on tapping of various fund sources by location 2009
      Coping Strategies Total
      Magnitude Proportion
      Used savings 440 134
      Sold assets 64 2
      Pawned assets 157 48
      Tried to borrow money 1330 406
      Borrowed money 1290 394
      Defaulted on debt 193 59
      Table __ Households coping strategies on employment by location 2009
      Coping Strategies Total
      Magnitude Proportion
      Looked for additional work 183 56
      Did additional work 144 44
      Employed members not previously working 59 18
      Looked for work abroad 53 16
      rb_fn sex
      ARNOLD 1
      ANNIELYN 2
      ELMER 1
      ROLAN 1
      ARIES 1
      NORA 2
      LYDIA 2
      APOLINARIO 1
      No of Employed Persons With Reduced Benefits With Wage Reduction
      No No
      Male 2880 5 017 47 16
      Female 1750 3 017 36 21
      Total 4630 8 017 83 18
      rw_fn sex
      CALIXTO P 1
      GEDION 1
      ERNESTO JR 1
      RUBY ANN 2
      CAROLYN 2
      RAMIL 1
      JESS CHRISTOPHER 1
      EFREN 1
      ALFREDO 1
      ROSALIE 2
      PERCIVAL 1
      JOMER 1
      ARTURO 1
      ORLANDO SR 1
      ROBERTO 1
      DAISY 2
      VICTOR 1
      ARMAN SR 1
      MARIAN 2
      ANNIELYN 2
      ELMER 1
      NAIDA 2
      LEVY II 1
      OFELIA 2
      RODERICK 1
      ANNALYN 2
      ROLAN 1
      EFREN 1
      ROGELIO 1
      LOURDES 2
      JAIME 1
      LANIE 2
      ISABELITA 2
      PRISCILLA 2
      LELAND LLOYD 1
      RANDY 1
      ROLANDO JR 1
      MARILYN 2
      ERIC 1
      ROSEMARIE 2
      MAXIMA 2
      JAMES 1
      RAUL 1
      NICK 1
      NORMITA 2
      LORNA 2
      RONA 2
      NORA 2
      JOSEPH 1
      LERMA 2
      GEBOY 1
      SIMPLICIA 2
      NAZAR 1
      DELIA M 2
      NENITA 2
      JUVIELYN 2
      JOSEPHINE 2
      WILLIAM 1
      ROY VINCENT 1
      CLEOFAS 1
      ELYMAR 1
      BRIENDEL 1
      ANNALISA 2
      RAFAEL 1
      LAWRENCE R 1
      SHERWIN L 1
      NELLIE M 2
      LOVELYN 2
      REDEN 1
      MA CRISTINA 2
      JONALIE 2
      SHERYL 2
      ROLANDO 1
      MARY JANE 2
      JONEL 1
      ALBERT 1
      CARLOS 1
      HENRY 1
      GEMMA 2
      EDGARDO H 1
      LYDIA 2
      ROSITA 2
      ELVIS 1
      No of Employed Persons No of Members With Wage Reduction
      Male 2880 47 16
      Female 1750 36 21
      Total 4630 83 18
      Quintile Total
      1 2 3 4 5
      Magnitude Magnitude Magnitude Magnitude Magnitude Magnitude
      Did avail 439 36 325 267 237 195 138 113 79 65 1218 100
      778 647 544 326 203 526
      Did not access 125 114 177 161 199 181 285 26 311 284 1097 100
      222 353 456 674 797 474
      Total 564 244 502 217 436 188 423 183 390 169 2315 100
      100 100 100 100 100 100
      Access to NFA rice program
      Quintile Magnitude Proportion Total No of HHs 100
      1 439 778 564
      2 325 647 502
      3 237 544 436
      4 138 326 423
      5 79 203 390
      Total 1218 526 2315
      Quintile Magnitude Share
      1 439 360
      2 325 267
      3 237 195
      4 138 113
      5 79 65
      Total 1218 1000
      rh_fn sex
      JOSE RUEL 1
      CAROLYN 2
      RICHARD 1
      BAMBI CORAZON 2
      MICHAEL 1
      EVANGELINE 2
      EDILBERTO 1
      ALFREDO 1
      ROSALIE 2
      LENY 2
      FERNANDO 1
      SHIELA 2
      JOMER 1
      ROBERTO 1
      DAISY 2
      ARMAN SR 1
      ELMER 1
      NAIDA 2
      RACHELY 2
      ANNALYN 2
      ROGELIO 1
      LOURDES 2
      ROGEL 1
      JAIME 1
      LANIE 2
      ISABELITA 2
      PRISCILLA 2
      LELAND LLOYD 1
      RANDY 1
      ROLANDO JR 1
      MARILYN 2
      ERIC 1
      ROSEMARIE 2
      MAXIMA 2
      JAMES 1
      NICK 1
      NORMITA 2
      LORNA 2
      RONA 2
      NORA 2
      JOSEPH 1
      GEBOY 1
      SIMPLICIA 2
      DELIA M 2
      JUVIELYN 2
      NENITA 2
      JOSEPHINE 2
      WILLIAM 1
      ROY VINCENT 1
      CLEOFAS 1
      ELYMAR 1
      BRIENDEL 1
      ANNALISA 2
      RAFAEL 1
      LAWRENCE R 1
      SHERWIN L 1
      NELLIE M 2
      LOVELYN 2
      REDEN 1
      MA CRISTINA 2
      JONALIE 2
      SHERYL 2
      ROLANDO 1
      MARY JANE 2
      JONEL 2
      ALBERT 1
      HENRY 1
      GEMMA 2
      EDGARDO H 1
      LYDIA 2
      ROSITA 2
      ELVIS 1
      HILDA 2
      No of Employed Persons No of Members With Reduced Working Hours
      Male 2880 37 13
      Female 1750 36 21
      Total 4630 73 16
      Type of Job Magnitude Proportion
      Plant and Machine Operators and Assemblers 35 480
      Service Workers and Shop and Market Sales Workers 14 192
      Officials of Government and Special-Interests 7 96
      Clerks 5 69
      Trades and Related Workers 3 41
      Laborers and Unskilled Workers 3 41
      Physical Mathematical and Engineering 2 27
      Technician and Associate Professionals 2 27
      Unspecified 2 27
      Total 73 100
      Type of Job Magnitude Proportion
      Plant and Machine Operators and Assemblers 35 480
      Service Workers and Shop and Market Sales Workers 14 192
      Officials of Government and Special-Interests 7 96
      Clerks 5 69
      Trades and Related Workers 3 41
      Laborers and Unskilled Workers 3 41
      Others (including unspecified) 6 82
      Total 73 100
      Program Rural Urban Outside NCR Urban NCR Total
      Ando Salvacion San Miguel Gumamela Magbangon Masikap Poblacion III Villa Angeles 192 No
      No of HHs 174 237 269 432 259 227 466 354 856 3274 1000
      57 3 156 137 459 35 30 627 - 607 185
      Pantawid Pamilya Pilipino Program (4Ps)
      06 0 0 12 0 0 02 0 0 7 02
      NFA rice access program
      81 89 602 521 371 62 163 107 298 1218 372
      Comprehensive Livelihood amp Emergency Employment Program (CLEEP)
      06 0 04 0 0 0 04 0 01 5 02
      Self-Employment Assistance-Kaunlaran (SEA-K) 0 46 0 0 0 0 0 03 0 12 04
      Emergency loan for SSS members who were retrenched since Jan 2009 06 0 0 0 0 31 0 34 09 28 09
      Pag-ibig Special Short-term Loan (STL) Program for displaced workers 11 04 0 0 04 13 0 45 07 29 09
      6-month pay package for laid-off electronic workers 0 0 0 0 0 0 04 0 0 2 0
      Botika ng Barangay Program 86 447 26 25 69 22 185 06 65 403 123
      Day care center services 178 165 63 56 35 0 82 25 53 212 65
      Barangay health services 425 878 327 162 58 128 15 51 118 673 206
      0
      0
      0
      0
      0
      0
      0
      Industry Total Male Female
      No No No
      Private households with employed person 6 222 3 50 3 50
      Health and social work 5 186 1 20 4 80
      Manufacturing 4 148 4 100 0 0
      Transport storage and communication 3 111 3 100 0 0
      Financial intermediation 3 111 2 667 1 333
      Real estate renting and business activity 2 74 2 100 0 0
      Hotel and restaurants 1 37 1 100 0 0
      Wholesale amp retail trade repair of motor vehicles motorcycles and personal household goods 1 37 1 100 0 0
      Other community social and personal service activities 1 37 1 100 0 0
      Construction 1 37 1 100 0 0
      Total 27 100 19 704 8 296
      Male 19 704
      Female 8 296
      Industry Retrenched OFWs
      No
      Private households with employed person A 6 222
      Health and social work B 5 186
      Manufacturing C 4 148
      Transport storage and communication D 3 111
      Financial intermediation E 3 111
      Real estate renting and business activity F 2 74
      Others G 4 37
      Total 27 100
      Male 19 704
      Female 8 296
      0
      0
      0
      0
      0
      0
      Table __ Members who lost job by type of job
      Type of Job Magnitude Proportion
      Service workers and shop and market sal A 26 243
      Professionals B 21 196
      Laborers and skilled workers C 19 178
      Plant and machine operators and assembl D 15 140
      Technicians and associate professionals E 8 75
      Others F 18 168
      Total 107 1000
      Clerks 7 65
      Trades and related workers 7 65
      Officials of government and special interest 4 37
      Table ___ Members who lost job by industry
      Industry No
      Mining and quarying 2 187
      Manufacturing 22 2056
      Electricity gas and water supply 3 28
      Construction 3 28
      Wholesale amp retail trade repair of mot 8 748
      Hotel and restaurants 8 748
      Transport storage and communication 7 654
      Financial intermediation 5 467
      Real estate renting and business activ 2 187
      Public administration and defense comp 7 654
      Education 12 1121
      Health and social work 4 374
      Other community social and personal se 9 841
      Private households with employed person 14 1308
      Extra-territorial organizations and bod 1 093
      Total 107 100
      Growth Rate Real GDP Real GDP (PM)
      2004 Q1 72 271817 271817
      Q2 71 282939 282939
      Q3 56 279581 279581
      Q4 58 319959 319959
      2005 Q1 45 284063 284063
      Q2 51 297426 297426
      Q3 47 292665 292665
      Q4 54 337298 337298
      2006 Q1 55 299681 299681
      Q2 53 313112 313112
      Q3 52 30775 307750
      Q4 54 355613 355613
      2007 Q1 69 320326 320326
      Q2 83 339218 339218
      Q3 68 328795 328795
      Q4 63 378154 378154
      2008 Q1 39 33289 332890
      Q2 42 353331 353331
      Q3 46 343784 343784
      Q4 29 388948 388948
      2009 Q1 06 334866 334866
      Q2 15 35846 358460
      Q3 08 346405 346405
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o ]
      71
      39
      Reason for the lost of Job Magnitude Proportion
      The firm is incurring losses 35 330
      The firm is downsizing and reducing costs 11 104
      The firm went bankrupt and closed 7 66
      Violated company lawsby-laws 3 28
      Corporate restructuring 1 09
      Others specify 49 462
      Outcome variables Magnitude
      Dummy = 1 if OFW returned from abroad due to retrenchmentlay-off 27 162
      Dummy = 1 if OFW experienced wage reduction 41 94
      Dummy = 1 if remittances declined in terms of amount 40 92
      Dummy = 1 if remittances declined in terms of frequency 32 73
      Dummy = 1 if business closedshutdown 17 11
      Dummy = 1 if income from business declined 110 69
      Dummy = 1 if employees in business got laid-off 3 02
      Dummy = 1 if lost job 90 28
      Dummy = 1 if wage reduced 74 23
      Dummy = 1 if working hours reduced 65 2
      Dummy = 1 if employment benefits reduced 8 03
      0
      0
      Country Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Saudi Arabia 7 304 6 857 1 143
      United States of America 4 174 2 50 2 50
      Qatar 3 13 2 667 1 333
      United Kingdom 3 13 2 667 1 333
      Italy 2 87 1 50 1 50
      Others 8 348 6 75 2 25
      Total 27 100 19 704 8 296
      Country No of OFWs Retrenched OFWs
      Saudi Arabia 7 Male 19
      United States of America 4 Female 8
      Qatar 3
      United Kingdom 3
      Italy 2
      Others 8
      Total 27
      No of OFWs No of Retrenched OFWs
      Male 298 19 64
      Female 213 8 38
      Total 511 27 53
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      wage Reduction
      Country Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Saudi Arabia 16 381 15 938 1 63 No of OFWs
      USA 4 95 4 100 0 0 Male 32
      Hong Kong SAR 4 95 1 25 3 75 Female 10 761904761905
      Qatar 3 71 2 667 1 333
      Singapore 2 48 2 100 0 0
      DPRK 2 48 2 100 0 0
      Others 8 191 3 375 5 625
      Unspecified 3 71 3 100 0 0
      Total 42 100 32 762 10 238
      Country No of OFWs
      Saudi Arabia 16
      USA 4
      Hong Kong SAR 4
      Qatar 3
      Singapore 2
      DPRK 2
      Others 8
      Unspecified 3
      Total 42
      No of OFWs No of OFWs who Experienced Wage Reduction
      Male 298 32 107
      Female 213 10 47
      Total 511 42 82
      Type of Job No Percent
      Service Workers and Shop and Market Sal 13 3095
      Technician and Associate Professionals 6 1429
      Trades and Related Workers 6 1429
      Laborers and Unskilled Workers 6 1429
      Plant and Machine Operators and Assembl 5 119
      Physical Mathematical and Engineering 3 714
      Officials of Government and Special-Int 2 476
      Special Occupations 1 238
      Total 42 100
      Type of Job No Percent
      Service Workers and Shop and Market Sal A 13 310
      Technician and Associate Professionals B 6 143
      Trades and Related Workers C 6 143
      Laborers and Unskilled Workers D 6 143
      Plant and Machine Operators and Assembl E 5 119
      Others F 6 143
      Total 42 1000
      Male Female Total
      No of OFWs 298 213 511
      No of OFWs who Experienced Wage Reduction 32 10 42
      107 47 82
      0
      0
      0
      0
      0
      Type of Job Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      All Occupations 27 100 19 704 8 296
      Professionals 9 333 5 556 4 444
      Service workers and shop and market sales worker 5 185 3 60 2 40
      Plant and machine operators and assemblers 5 185 5 100 0 0
      Trades and related workers 3 111 2 667 1 333
      Officials of government and special interest organization corporate executives managers managing proprietors and supervisors 1 37 1 100 0 0
      Technicians and associate professionals 1 37 1 100 0 0
      Clerks 1 37 1 100 0 0
      Laborers and skilled workers 1 37 1 100 0 0
      Special occupations 1 37 0 0 1 100
      Type of Job No of OFWs
      Professionals A 9
      Service workers and shop and market sales worker B 5
      Plant and machine operators and assemblers C 5
      Trades and related workers D 3
      Others E 5
      ofwfn sex ofwfn
      ELMIDA 2 ELMIDA 0
      FLORES 2 FLORES 0
      LILIA 2 LILIA 0
      ALONA 2 ALONA 0
      NOREEN 2 NOREEN 0
      MONICA 2 MONICA 0
      CARLITO 1 CARLITO 0
      MA NIMFA 2 MA NIMFA 0
      ELENA 2 ELENA 0
      ISIDRA 2 ISIDRA 0
      FELIZA 2 FELIZA 0
      REMEDIOS 2 REMEDIOS 0
      FELIXBERTO 1 FELIXBERTO 0
      MARTINA 2 MARTINA 0
      VIRGINE 2 VIRGINE 0
      EMILY 2 EMILY 0
      HAYDEE 2 HAYDEE 0
      NENITA 2 NENITA 0
      YOLANDA 2 YOLANDA 0
      EDGARDO 1 EDGARDO 0
      EMMA 2 EMMA 0
      DAN 1 DAN 0
      ROEL 1 ROEL 0
      GENARO 1 GENARO 0
      LINA 2 LINA 0
      ALPHA 2 ALPHA 0
      BLECHA 2 BLECHA 0
      MICHELE 2 MICHELE 0
      ABENCIO 1 ABENCIO 0
      RUBEN 1 RUBEN 0
      ANTONIA 2 ANTONIA 0
      LIZA 2 LIZA 0
      CRISTY 2 CRISTY 0
      SHERYL 2 SHERYL 0
      EVELYN 2 EVELYN 0
      MA GLORIA 2 MA GLORIA 0
      MARIE 2 MARIE 0
      MERIAM 2 MERIAM 0
      FILMA 2 FILMA 0
      ELSIE 2 ELSIE 0
      SHERLYN 2 SHERLYN 0
      MYRNA 2 MYRNA 0
      EVELYN 2 EVELYN 0
      ELDIE 2 ELDIE 0
      VILMA 2 VILMA 0
      CYRIL 2 CYRIL 0
      YOLANDA 2 YOLANDA 0
      JELANIE 2 JELANIE 0
      NOEMA 2 NOEMA 0
      EMMENUEL SR 1 EMMENUEL SR 0
      EMMA 2 EMMA 0
      ANALYN 2 ANALYN 0
      NIDA 2 NIDA 0
      LORNA 2 LORNA 0
      LELIA 2 LELIA 0
      VILMA 2 VILMA 0
      ETHELINDA 2 ETHELINDA 0
      MELANIO 1 MELANIO 0
      MYRNA 2 MYRNA 0
      MARY ANN 2 MARY ANN 0
      EMY 2 EMY 0
      EVA 2 EVA 0
      CONSHITA 2 CONSHITA 0
      LORNA 2 LORNA 0
      EVELYN 2 EVELYN 0
      NILCHA 2 NILCHA 0
      NIDA 2 NIDA 0
      TILLY 2 TILLY 0
      TERESITA 2 TERESITA 0
      NIMFA 2 NIMFA 0
      AGNES 2 AGNES 0
      NIMA 2 NIMA 0
      MARITES 2 MARITES 0
      MARINETTE 2 MARINETTE 0
      NIMFA 2 NIMFA 0
      FREDDIE 1 FREDDIE 0
      FELICITAS 2 FELICITAS 0
      SANDRO JR 1 SANDRO JR 0
      ELMER 1 ELMER 0
      MARIANEY 2 MARIANEY 0
      RIZA 2 RIZA 0
      GLENFORD 1 GLENFORD 0
      JONJIE 1 JONJIE 0
      EDWIN 1 EDWIN 0
      MANOLITO 1 MANOLITO 0
      PAULEEN 2 PAULEEN 0
      MANOLO 1 MANOLO 0
      KATE EDISON 2 KATE EDISON 0
      CIEDWUO 1 CIEDWUO 0
      GISELLE 2 GISELLE 0
      GEMMA 2 GEMMA 0
      ALEX 1 ALEX 0
      NELSA 2 NELSA 0
      ENGELBERT 1 ENGELBERT 0
      JULIET 2 JULIET 0
      HERDOLLY 2 HERDOLLY 0
      JAIME 1 JAIME 0
      WILLIAM 1 WILLIAM 0
      KATHLEEN 2 KATHLEEN 0
      DIOSDADO 1 DIOSDADO 0
      FRANCISCO 1 FRANCISCO 0
      ALBERTO 1 ALBERTO 0
      RHODORA 2 RHODORA 0
      RONALD 1 RONALD 0
      MARLYN 2 MARLYN 0
      ANNALY 2 ANNALY 0
      LUCAS 1 LUCAS 0
      ERLINDA 2 ERLINDA 0
      EDUARDO 1 EDUARDO 0
      FROILAN 1 FROILAN 0
      ELIZALDE 1 ELIZALDE 0
      DOROTHY 2 DOROTHY 0
      LAILA 2 LAILA 0
      PEPE 1 PEPE 0
      DENNIS 1 DENNIS 0
      MARK 1 MARK 0
      ERLINDA 2 ERLINDA 0
      DOMENADOR 1 DOMENADOR 0
      JOVY 2 JOVY 0
      JODY 2 JODY 0
      JAIME JR 1 JAIME JR 0
      LESTER 1 LESTER 0
      MELVIN 1 MELVIN 0
      JOSIE 2 JOSIE 0
      PAMELA 2 PAMELA 0
      ROWELL 1 ROWELL 0
      MERSILITA 2 MERSILITA 0
      DENCIO 1 DENCIO 0
      ROLLY 1 ROLLY 0
      CRIS MICHAEL 1 CRIS MICHAEL 0
      LUZEZY 2 LUZEZY 0
      JIM 1 JIM 0
      MAYMAY 2 MAYMAY 0
      ALLAN 1 ALLAN 0
      ROBERT 1 ROBERT 0
      ANTONIO 1 ANTONIO 0
      MENCHIE 2 MENCHIE 0
      MARCIAL 1 MARCIAL 0
      GINA 2 GINA 0
      RENWALDO 1 RENWALDO 0
      NERISSA 2 NERISSA 0
      GRACE 2 GRACE 0
      FAIDSA 2 FAIDSA 0
      TERISA 2 TERISA 0
      MARK ANTHONY 1 MARK ANTHONY 0
      DARIO 1 DARIO 0
      FATIMA 2 FATIMA 0
      ZORAYDA 2 ZORAYDA 0
      MICHAEL 1 MICHAEL 0
      RUSTY 1 RUSTY 0
      MERLYN 2 MERLYN 0
      PAMELA 2 PAMELA 0
      ROMEL 1 ROMEL 0
      MARK 1 MARK 0
      ALBERT 1 ALBERT 0
      ANNALIZA 2 ANNALIZA 0
      RAMIL 1 RAMIL 0
      THELMA 2 THELMA 0
      FERDINAND 1 FERDINAND 0
      HAROLD 1 HAROLD 0
      SONNY 1 SONNY 0
      ALFREDO 1 ALFREDO 0
      SALVADOR 1 SALVADOR 0
      ARLENE 2 ARLENE 0
      ARTURO 1 ARTURO 0
      OLIVIA 2 OLIVIA 0
      CARLO 1 CARLO 0
      ARMANDO 1 ARMANDO 0
      MARICEL 2 MARICEL 0
      DENNIS 1 DENNIS 0
      AUGOSTO 1 AUGOSTO 0
      SOFIA 2 SOFIA 0
      MICHAEL 1 MICHAEL 0
      ELIZABETH 2 ELIZABETH 0
      ERIC 1 ERIC 0
      ABDUL WAHAB 1 ABDUL WAHAB 0
      RODERICK 1 RODERICK 0
      MATILDE 2 MATILDE 0
      JARIEL 1 6 0
      ROMEO 1 ROMEO 0
      FERDINAND 1 FERDINAND 0
      MARISSA 2 MARISSA 0
      DARWIN 1 DARWIN 0
      DONALD 1 DONALD 0
      RAGIE 1 RAGIE 0
      ARNULFO 1 ARNULFO 0
      EDEN 2 EDEN 0
      EVELYN 2 EVELYN 0
      MARIA LIZA 2 MARIA LIZA 0
      MYRA 2 MYRA 0
      ERWIN 1 ERWIN 0
      OFELIA 2 OFELIA 0
      MARCIAL 1 MARCIAL 0
      CORAZON 2 CORAZON 0
      MARIANO 1 MARIANO 0
      BILLY JOHN 1 BILLY JOHN 0
      NENITA 2 NENITA 0
      MARICEL 2 MARICEL 0
      NEREN 1 NEREN 0
      DAISY 2 DAISY 0
      RUEL 1 RUEL 0
      CLEMENTE 1 CLEMENTE 0
      SALVADOR 1 SALVADOR 0
      GING-GING 2 GING-GING 0
      ARNEL 1 ARNEL 0
      LAURENCE 1 LAURENCE 0
      NORA 2 NORA 0
      JONATHAN 1 JONATHAN 0
      ISIDRO 1 ISIDRO 0
      MYLA 2 MYLA 0
      KRISTINE 2 KRISTINE 0
      WENEFREDO 1 WENEFREDO 0
      FLORDILIZA 2 FLORDILIZA 0
      TERESITA 2 TERESITA 0
      HILARIO 1 HILARIO 0
      ERVIO 1 ERVIO 0
      CRISANTO 1 CRISANTO 0
      JEROME 1 JEROME 0
      REYNALDO 1 REYNALDO 0
      LUISITO 1 LUISITO 0
      ARTURO 1 ARTURO 0
      ARLAN 1 ARLAN 0
      LENAND 1 LENAND 0
      ROMEL 1 ROMEL 0
      JOEL 1 JOEL 0
      GLENN 1 GLENN 0
      BEMEN 1 BEMEN 0
      LAARNI 2 LAARNI 0
      JASIIE 2 JASIIE 0
      GODOFREDO 1 GODOFREDO 0
      MILDRED 2 MILDRED 0
      JAZMIN 2 JAZMIN 0
      ERNESTO 1 ERNESTO 0
      JOSEPH 1 JOSEPH 0
      GERARDO 1 GERARDO 0
      JOAN 2 JOAN 0
      JASON 1 JASON 0
      MANOLITO 1 MANOLITO 0
      REYNALDO 1 REYNALDO 0
      EMIL 1 EMIL 0
      GERARDO SR 1 GERARDO SR 0
      RAEL 1 RAEL 0
      JANICE 2 JANICE 0
      ERLINDA 2 ERLINDA 0
      EMILIANO 1 EMILIANO 0
      CHRISTOPHER 1 CHRISTOPHER 0
      LAURENCE 1 LAURENCE 0
      RENATO 1 RENATO 0
      JEFFERSON 1 JEFFERSON 0
      JOEL 1 JOEL 0
      HENNRY 1 HENNRY 0
      SHERWIN 1 SHERWIN 0
      AMANTE 1 AMANTE 0
      RANDY 1 RANDY 0
      RAUL 1 RAUL 0
      ADAM 1 ADAM 0
      BENIGNO 1 BENIGNO 0
      PATRICK 1 PATRICK 0
      EDUARDO 1 EDUARDO 0
      MELVIN 1 MELVIN 0
      RICARDO 1 RICARDO 0
      ALEXANDER 1 ALEXANDER 0
      NICANDRO 1 NICANDRO 0
      RENATO 1 RENATO 0
      FEDERICO 1 FEDERICO 0
      CATHERINE 2 CATHERINE 0
      ISAGANI 1 ISAGANI 0
      FRANCO 1 FRANCO 0
      MAGTANNGOL 1 MAGTANNGOL 0
      MELINDA 2 MELINDA 0
      JERRY 1 JERRY 0
      JEMUEL 1 JEMUEL 0
      DEAN 2 DEAN 0
      DANILO 1 DANILO 0
      ALEJANDRO 1 ALEJANDRO 0
      DIOSCORO 1 DIOSCORO 0
      YOLANDA 2 YOLANDA 0
      BIENVINIDO 1 BIENVINIDO 0
      NICOMODUS 1 NICOMODUS 0
      RONALD 1 RONALD 0
      MICHAEL 1 MICHAEL 0
      JESSIE 1 JESSIE 0
      JANEL 2 JANEL 0
      ABRAHAM JR 1 ABRAHAM JR 0
      JOJO 1 JOJO 0
      LORETA 2 LORETA 0
      ROGELIO 1 ROGELIO 0
      CHERRY 2 CHERRY 0
      RODERICK 1 RODERICK 0
      CHRISTIAN 1 CHRISTIAN 0
      MARY JANE 2 MARY JANE 0
      LEONILO 1 LEONILO 0
      TOMAS 1 TOMAS 0
      MARK 1 MARK 0
      BERNIE 1 BERNIE 0
      MANUEL 1 MANUEL 0
      CARMELITA 2 CARMELITA 0
      JOEY 1 JOEY 0
      MAUREEN 2 MAUREEN 0
      ARISTOTELLE 1 ARISTOTELLE 0
      FERDINAND 1 FERDINAND 0
      MERVIN 1 MERVIN 0
      MANUEL 1 MANUEL 0
      ROLANDO 1 ROLANDO 0
      ROLLY 1 ROLLY 0
      ROMEL 1 ROMEL 0
      HILARION 1 HILARION 0
      NOEL 1 NOEL 0
      MARLON 1 MARLON 0
      SHIRLEY 2 SHIRLEY 0
      LIRA 2 LIRA 0
      ARMANDO 1 ARMANDO 0
      CESAR 1 CESAR 0
      PABLITO 1 PABLITO 0
      ROBERT 1 ROBERT 0
      ]MARGIE 2 ]MARGIE 0
      ERWIN 1 ERWIN 0
      JAYVEE 1 JAYVEE 0
      PATRICIO 1 PATRICIO 0
      EDWARD 1 EDWARD 0
      CHRISTOPHER 1 CHRISTOPHER 0
      RODOLFO 1 RODOLFO 0
      ROMANO 1 ROMANO 0
      ISAIAS 1 ISAIAS 0
      DELMAR 1 DELMAR 0
      CESAR 1 CESAR 0
      RONELITO 1 RONELITO 0
      CHONA 2 CHONA 0
      ARNOLD 1 ARNOLD 0
      RONALDO 1 RONALDO 0
      EDGARDO 1 EDGARDO 0
      JOMMEL 1 JOMMEL 0
      JERRY 1 JERRY 0
      ROMEO 1 ROMEO 0
      RICARDO 1 RICARDO 0
      ZYRA 2 ZYRA 0
      JOHN FREDIRECK 1 JOHN FREDIRECK 0
      PEARLIE 2 PEARLIE 0
      CARLOS 1 CARLOS 0
      ERVIEL FELIX 1 ERVIEL FELIX 0
      RICARDO 1 RICARDO 0
      ARCHIMEDES 1 ARCHIMEDES 0
      ALFREDO JR 1 ALFREDO JR 0
      JOY 2 JOY 0
      ARIEL 1 ARIEL 0
      TERESITA 2 TERESITA 0
      WILFREDO JR 1 WILFREDO JR 0
      ANTONIO 1 ANTONIO 0
      RUBY 2 RUBY 0
      KRISTINE ANN 2 KRISTINE ANN 0
      OFELIA 2 OFELIA 0
      JOCELYN 2 JOCELYN 0
      RAFAEL 1 RAFAEL 0
      JULIUS 1 JULIUS 0
      LAWRENCE 1 LAWRENCE 0
      LITO 1 LITO 0
      DONNA 2 DONNA 0
      HELEN 2 HELEN 0
      EDGARDO 1 EDGARDO 0
      RODRIGO 1 RODRIGO 0
      MAMERTA JR 1 MAMERTA JR 0
      MANUEL 1 MANUEL 0
      NATIVIDAD 2 NATIVIDAD 0
      SHIELA MARIE 2 SHIELA MARIE 0
      ESTELITA 2 ESTELITA 0
      ARNOLD 1 ARNOLD 0
      DANILO 1 DANILO 0
      NESTOR 1 NESTOR 0
      JULIET 2 JULIET 0
      EDGAR 1 EDGAR 0
      CARLITO 1 CARLITO 0
      WILFREDO 1 WILFREDO 0
      MELCHORA 2 MELCHORA 0
      EMILY 2 EMILY 0
      MICHOYO 1 MICHOYO 0
      ENGKWEE 1 ENGKWEE 0
      EVELYN 2 EVELYN 0
      GLENDA 2 GLENDA 0
      HILDA 2 HILDA 0
      CARMEN 2 CARMEN 0
      AGNES 2 AGNES 0
      ROGELIO 1 ROGELIO 0
      FERDINAN 1 FERDINAN 0
      LARRY 1 LARRY 0
      LEN 2 LEN 0
      MARIA CONCEPCION 2 MARIA CONCEPCION 0
      MARCILA 2 MARCILA 0
      DIVINA 2 DIVINA 0
      GARIZALDE 1 GARIZALDE 0
      JUDITH 2 JUDITH 0
      NIKO 1 NIKO 0
      EDUARDO 1 EDUARDO 0
      JESIE 1 JESIE 0
      EILEEN 2 EILEEN 0
      ERICKSON 1 ERICKSON 0
      GEMMERICK 1 GEMMERICK 0
      ALAN 1 ALAN 0
      EVANGELINE 2 EVANGELINE 0
      NAVIL 1 NAVIL 0
      JERAMINE 1 JERAMINE 0
      RHODORA 2 RHODORA 0
      REYNALDO 1 REYNALDO 0
      TERRY JOY 2 TERRY JOY 0
      DIONA 2 DIONA 0
      NOEMI 2 NOEMI 0
      MINERVA 2 MINERVA 0
      EDGARDO 1 EDGARDO 0
      ROLAND 1 ROLAND 0
      JOSE 1 JOSE 0
      CRISTINA 2 CRISTINA 0
      DOREEN 2 DOREEN 0
      BRYAN 1 BRYAN 0
      SOFRONIA 2 SOFRONIA 0
      PZSTOR 1 PZSTOR 0
      RONALD 1 RONALD 0
      ANTONIO 1 ANTONIO 0
      LOUIE 1 LOUIE 0
      LEVITO 1 LEVITO 0
      ASUNCION 2 ASUNCION 0
      EDWIN 1 EDWIN 0
      BABYLYN 2 BABYLYN 0
      VON 1 VON 0
      JENALYN 2 JENALYN 0
      LEONORA 2 LEONORA 0
      NOLI 1 NOLI 0
      RYAN MARK 1 RYAN MARK 0
      PERCIVAL 1 PERCIVAL 0
      LORENZO A 1 LORENZO A 0
      SIGRID ERCE 1 SIGRID ERCE 0
      ALVIN 1 ALVIN 0
      EMMALYN 2 EMMALYN 0
      ALIAH INGRID 2 ALIAH INGRID 0
      JOSE 1 JOSE 0
      CORAZON 2 CORAZON 0
      MARLYN 2 MARLYN 0
      VINCENTE 1 VINCENTE 0
      BELTRAN 1 BELTRAN 0
      JANET 2 JANET 0
      MARINA 2 MARINA 0
      NOEL 1 NOEL 0
      FLORENTINO 1 FLORENTINO 0
      GILBERTO 1 GILBERTO 0
      RONAN 1 RONAN 0
      VICTORIA 2 VICTORIA 0
      ALFREDO 1 ALFREDO 0
      MARCELA E 2 MARCELA E 0
      ALMA 2 ALMA 0
      RICKY 1 RICKY 0
      MARGARITTA 2 MARGARITTA 0
      LORNA MARLENE 2 LORNA MARLENE 0
      WILLIAM 1 WILLIAM 0
      FELIMON 1 FELIMON 0
      NELSON 1 NELSON 0
      DAISY 2 DAISY 0
      MA TERESA 2 MA TERESA 0
      FRANCISCO 1 FRANCISCO 0
      ARTHURO JR 1 ARTHURO JR 0
      PHILIP JUDAL 1 PHILIP JUDAL 0
      PHILIP JOAN 1 PHILIP JOAN 0
      DANELITH 2 DANELITH 0
      DENNIS 1 DENNIS 0
      RICARDO 1 RICARDO 0
      DAVE 1 DAVE 0
      MAY SHELLY 2 MAY SHELLY 0
      OLIVER 1 OLIVER 0
      ESMERALDO 1 ESMERALDO 0
      JOEL 1 JOEL 0
      JERRY 1 JERRY 0
      EFRIEM 1 EFRIEM 0
      RONALD 1 RONALD 0
      ELVIRA 2 ELVIRA 0
      EUGENIO JR 1 EUGENIO JR 0
      WILFREDO 1 WILFREDO 0
      HUBENCIO 1 HUBENCIO 0
      EDGARDO 1 EDGARDO 0
      BONNE RISA 2 BONNE RISA 0
      FERDINAND 1 FERDINAND 0
      JUANITO 1 JUANITO 0
      JESSIE 1 JESSIE 0
      ANTONIO 1 ANTONIO 0
      PARLIE 2 PARLIE 0
      RANDOLPH 1 RANDOLPH 0
      CEASAR 1 CEASAR 0
      CATHERINE 2 CATHERINE 0
      CHRISTOPHER 1 CHRISTOPHER 0
      LIMUEL 1 LIMUEL 0
      ANALIZA 2 ANALIZA 0
      AMIE 2 AMIE 0
      RODERICK 1 RODERICK 0
      MARICEL 2 MARICEL 0
      MARJORIE 2 MARJORIE 0
      BERNARDO 1 BERNARDO 0
      VICENTE 1 VICENTE 0
      GARITO 1 GARITO 0
      HARLENE 2 HARLENE 0
      HARRIST 1 HARRIST 0
      DONALD 1 DONALD 0
      DONNA 2 DONNA 0
      BRYAN 1 BRYAN 0
      ARMANDO 1 ARMANDO 0
      RITCHELL 1 RITCHELL 0
      ARTHUR 1 ARTHUR 0
      SHIELA ANN 2 SHIELA ANN 0
      PETER LLOYD 1 PETER LLOYD 0
      SAMUEL 1 SAMUEL 0
      CYNTHIA 2 CYNTHIA 0
      ALLAN 1 ALLAN 0
      DENNIS JR 1 DENNIS JR 0
      LEO MARK 1 LEO MARK 0
      IMELDA 2 IMELDA 0
      EDDIE 1 EDDIE 0
      Asia
      Europe
      North America
      Australia
      barangay Freq Percent Cum
      183 3484 535 7468
      201 2947 453 100
      184 2141 329 7797
      194 1534 236 9129
      193 1524 234 8893
      145 1150 177 4927
      191 995 153 8531
      179 939 144 6762
      14 937 144 489
      190 904 139 8378
      172 861 132 6195
      177 850 131 6494
      192 836 128 8659
      46 808 124 1339
      178 804 123 6618
      187 802 123 8144
      165 793 122 5781
      156 755 116 5327
      185 755 116 7913
      197 738 113 9363
      186 702 108 8021
      169 641 098 5956
      199 620 095 9504
      130 615 094 4101
      144 580 089 475
      143 575 088 4661
      65 567 087 2012
      135 529 081 4406
      132 505 078 4218
      148 497 076 5056
      157 497 076 5403
      195 493 076 9205
      66 485 074 2087
      171 479 074 6063
      43 442 068 1157
      90 441 068 2702
      127 419 064 3961
      161 416 064 554
      61 412 063 1835
      4 408 063 15
      72 400 061 23
      182 387 059 6933
      110 380 058 3368
      134 379 058 4325
      180 377 058 682
      108 372 057 3271
      107 364 056 3214
      189 356 055 8239
      181 350 054 6874
      162 345 053 5593
      51 341 052 1469
      153 341 052 5171
      113 338 052 3477
      52 336 052 1521
      100 322 049 3024
      58 321 049 1714
      125 316 049 3878
      133 315 048 4267
      176 313 048 6364
      99 304 047 2974
      137 304 047 4495
      94 299 046 2811
      198 299 046 9409
      147 295 045 498
      196 291 045 9249
      54 289 044 1587
      38 287 044 969
      2 286 044 064
      164 286 044 566
      173 284 044 6239
      200 284 044 9547
      77 282 043 2413
      57 279 043 1665
      123 279 043 3789
      5 278 043 193
      136 275 042 4448
      118 269 041 3645
      175 268 041 6316
      188 266 041 8185
      64 264 041 1925
      111 264 041 3409
      124 261 04 3829
      131 261 04 4141
      166 259 04 5821
      23 257 039 668
      8 254 039 264
      69 253 039 219
      109 250 038 331
      117 246 038 3604
      42 238 037 1089
      98 237 036 2928
      60 235 036 1772
      174 234 036 6274
      67 233 036 2123
      88 232 036 2618
      119 231 035 3681
      62 228 035 187
      40 219 034 1032
      170 217 033 5989
      104 216 033 3112
      97 214 033 2891
      91 207 032 2734
      114 206 032 3509
      115 206 032 354
      70 203 031 2221
      106 198 03 3158
      122 198 03 3746
      47 193 03 1368
      44 190 029 1186
      160 190 029 5476
      32 188 029 836
      39 187 029 998
      68 187 029 2151
      45 183 028 1214
      30 180 028 783
      18 176 027 549
      16 174 027 519
      22 173 027 629
      34 172 026 88
      75 172 026 2361
      96 170 026 2858
      116 169 026 3566
      73 168 026 2326
      155 166 025 5211
      10 164 025 3
      121 160 025 3716
      13 159 024 345
      83 158 024 2519
      159 158 024 5447
      102 157 024 3055
      128 157 024 3985
      3 153 023 087
      19 153 023 573
      31 153 023 807
      103 152 023 3079
      7 147 023 225
      29 147 023 756
      163 147 023 5616
      50 146 022 1417
      37 145 022 925
      53 142 022 1542
      140 141 022 4547
      59 138 021 1736
      41 137 021 1053
      152 137 021 5119
      129 136 021 4006
      95 135 021 2832
      1 129 02 02
      26 127 02 708
      80 127 02 2466
      92 126 019 2753
      158 126 019 5423
      167 126 019 5841
      79 125 019 2447
      126 125 019 3897
      138 125 019 4514
      81 123 019 2485
      21 122 019 602
      55 122 019 1606
      86 121 019 2568
      33 114 018 853
      71 114 018 2239
      84 113 017 2536
      36 111 017 903
      168 110 017 5857
      56 109 017 1622
      89 108 017 2634
      48 106 016 1384
      112 106 016 3425
      151 106 016 5098
      105 105 016 3128
      28 98 015 733
      154 96 015 5186
      63 95 015 1885
      87 94 014 2582
      78 93 014 2427
      141 88 014 456
      150 87 013 5081
      85 86 013 2549
      142 83 013 4573
      93 80 012 2766
      12 76 012 321
      9 75 012 275
      149 75 012 5068
      24 72 011 679
      139 71 011 4525
      20 69 011 583
      120 69 011 3691
      25 64 01 689
      49 64 01 1394
      27 63 01 718
      6 62 01 202
      82 61 009 2494
      74 58 009 2335
      11 55 008 309
      76 55 008 237
      146 50 008 4935
      101 49 008 3031
      35 41 006 886
      15 24 004 493
      17 19 003 522
      Total 65116 100
      TYPE OF EXPENDITURE DIRECTION OF CHANGE
      Increase Remained the Same Decrease Not Applicable Prop-Increase Pro-Same Prop -decrease
      Food 1970 1054 236 - 3260 604 323 72
      Clothing 756 1739 765 - 3260 232 533 235
      Cooking Fuel 952 1893 415 - 3260 292 581 127
      Electricity 1715 1013 206 - 2934 585 345 70
      Water 804 1610 176 670 2590 310 622 68
      Education 545 1135 142 1438 1822 299 623 78
      Health 725 1451 436 648 2612 278 556 167
      Communication 578 1413 544 725 2535 228 557 215
      Transportation 570 1699 498 493 2767 206 614 180
      Recreation 223 1205 760 1072 2188 102 551 347
      Saudi Arabia
      United States of America
      Qatar
      United Kingdom
      Italy
      Others
      Q12004
      Q2
      Q3
      Q4
      Q12005
      Q2
      Q3
      Q4
      Q12006
      Q2
      Q3
      Q4
      Q12007
      Q2
      Q3
      Q4
      Q12008
      Q2
      Q3
      Q4
      Q12009
      Q2
      Q3
      Number Percent
      Shifted to generic drugscheaper drug brands 1184 338
      Used medicinal plantsherbal medicines 995 284
      Shifted to government health centers and hospitals 760 217
      Resorted to self-medication 710 203
      Shifted to alternative medicine 445 127
      Lessened the availment of medical treatment for any illness 183 52
      Reduced prescribed drug intake 176 50
      Did not buy medicine 172 49
      Did not seek medical treatment for any illness 153 44
      Discontinued intake of prescribed medicine 94 27
      Others 62 18
      No of Students No of Withdrawn Children
      Male 2273 39 17
      Female 2094 20 10
      Total 4368 59 14
      No of Students No of Children who Shifted from Private to Public School
      Male 2234 18 08
      Female 2074 15 07
      Total 3974 33 08
      Coping Strategies Total
      Magnitude Proportion
      Borrowed money 1401 400
      Used savings 455 130
      Sold assets 68 19
      Pawned assets 166 47
      Coping Strategies Total
      Magnitude Proportion
      Looked for additional work 219 63
      Did additional work 167 48
      Employed members not previously working 65 19
      Looked for work abroad 53 15
      No of Employed Persons With Wage Reduction With Reduced Working Hours With Reduced Benefits
      No No No
      Male 3155 47 15 37 12 5 016
      Female 1891 36 19 36 19 3 016
      Total 5046 83 16 73 14 8 016
      Indicator Magnitude Proportion
      HHs with significant change in the monthly income from the business 158 87
      Increase 33 209
      Decrease 125 791
      HHs with significant change in the no of employed persons in the business 6 03
      Increase 3 50
      Decrease 3 50
      Indicator Magnitude Proportion
      HHs engaged in new entrepreneurial activity 75 21
      HHs engaged in an entrepreneurial activity 1817 519
      HHs which closed a business 19 10
      Country No of OFWs
      Saudi Arabia 16
      USA 4
      Hong Kong SAR 4
      Qatar 3
      Singapore 2
      DPRK 2
      Others 8
      Unspecified 3
      Total 42
      Country No of OFWs
      Saudi Arabia 7
      USA 4
      Qatar 3
      UK 3
      Italy 2
      Others 9
      Total 28
      No Barangay MunicipalityCity Province No of HHs
      1 Brgy 192 Pasay City NCR 856
      2 Poblacion III Sto Tomas Batangas 466
      3 Villa Angeles Orion Bataan 354
      4 Salvacion Puerto Princesa City Palawan 237
      5 Masikap Puerto Princesa City Palawan 227
      6 Gumamela Labo Camarines Norte 432
      7 San Vicente Santa Elena Camarines Norte 225
      8 Ando Borongan Eastern Samar 174
      9 San Miguel Llorente Eastern Samar 269
      10 Magbangon Cabucgayan Biliran 259

Outline of Presentation

What is PEPModeling and Policy Impact Analysis (MPIA) Studies of Crisis ImpactsCommunity Based Monitoring Systems (CBMS) Study of Crisis Impacts Coping Mechanisms and Government responses in the PhilippinesNext Steps

PEP Vision and Objectives

VisionPEP is a global network of developing country researchers with the skills and reputation to participate in and influence national and international academic and policy debates on poverty issues

ObjectivesBetter understand the causes and consequences of povertyPropose pro-poor policies and programsImprove the measurement and monitoring of povertyStrengthen local research capacity on poverty issuesDevelop new concepts and techniques for poverty analysis

PEP A decade of policy research and development

Engage a critical mass of researchers in developing countriesFoster comparative analyses across countries and teamsProvide systematic training and technical assistance Increase visibility dissemination and policy impactInteract and share knowledge with the other PEP programs and projects and with related national and international initiativesComprised of 4 sub networks ndash MPIA PMMA CBMS and PIERINumber of projects ndash 111

Research Themes

MPIAEconomic GrowthPublic Spending especially on education and healthSectoral policies particularly agriculturePoverty reduction policiesLabor markets (migration education gender regulation)

CBMSPoverty monitoringTargetingGender responsive budgetingLocal governanceLocalizing the MDGs

Research Themes

PMMAMultidimensional poverty analysis Public spending and its impact on poverty and equity Growth and poverty dynamics Policy impact analysisIntra-household allocation of well-being

PIERIEducationHealthSocial protection

Financial Crisis ImpactsCBMS MPIA PMMA

PEP Network

Core funders ndash IDRC CIDA AusAIDMain partner institutions - AKI Philippines CRES Senegal GRADE in Peru Laval SANEM OPHI IFPRICollaboration with the UN

Support for CBMS implementation in the Philippines and Kenya CBMS-UNDP Development GrantsGender responsive budgeting with UNIFEM in PeruUNICEF commissioned study on the impact of GFC on child povertyPreparation of Provincial MDG reports for presentation in September 2010 meeting in New York

MPIA Crisis Impact Studies

CGE modelling integrated with household survey data microsimulationTransmission channels

Trade Remittances Foreign direct investment Aid flows (Countercyclical fiscal policy)

Household consumption and welfare fall particularly poor households Bangladesh

Garment exports and manufacturing sector declinedDecline in agricultural sector and overall GDP some expansion in total exportsPoorer households appear to be the major victims

MPIA Crisis Impact Studies - Preliminary results

PakistanDeclines of FDI ( 28) foreign portfolio investment (128) exports (13) ODA (613)Sharp decline in development spending particularly health education population and social security serious challenges for MDG realizationExport declines hit high income earners drop in ODA was harsh on the poor

PhilippinesGarment exports and manufacturing sector declinedHousehold consumption and welfare fall particularly poor householdsDecline in agricultural sector and overall GDP some expansion in total exportsPoorer households appear to be the major victims

KEY FEATURES OF CBMS

Involves a census of all households in a communityLocal government unit (LGU)‐based while promoting community participationTaps existing LGU‐personnelcommunity members as monitorsEstablishes database at each geopolitical levelHas a core set of indicators but system is flexible enough to accommodate additional indicatorsFrequent rapid quickly processed and available resultsInexpensive and paid mostly by local governments (more advanced systems like Philippines)

National

Provincial

MunicipalCity

Village

Administrative Structure Information AvailabilityCBMS can fill

the gap

National surveys

CBMS

Decentralization creates new information demands that may be best satisfied with CBMS

Survival

Security

Enabling

bullHealthbullFood amp NutritionbullH20 amp Sanitation

bullShelterbullPeace amp Order

bullIncomebullEmploymentbullEducation

1 Child deaths (0-5 yrs old)2 Women deaths due to pregnancy

-related causes 3 Malnourished children (0-5 yrs old)4 HHs wo access to safe water5 HHs wo access sanitary toilet

6 HHs who are squatters7 HHs living in makeshift housing8 HHs victimized by crimes

9 HHs wincome below poverty threshold10 HHs wincome below food threshold11 HHs who experienced food shortage12 Unemployment13 Elementary school participation14 High school participation

CBMS Indicators Dimensions of Poverty Core Indicators

CBMS Core Indicators

USES OF CBMS

Empowers community by building its capacity to participate in diagnosing the problem offering solutions and monitoring the impact of these solutions Enriches existing databases both at the local and national levelsEnhances the preparation of socioeconomic profiles as well as development and investment plansImproves the allocation of resources by making it easier to prioritize interventions based on the local poverty diagnosisIncreases equity in resource allocation between communities and households as well as between men and womenHelps to monitor the impact of projects and programs thus contributing to poverty reduction efforts Helps in analyzing the impact of economic shocks (eg price shocks and global crisis)

CBMS Coverage

AsiaBangladeshCambodiaIndonesiaLao PDRPakistanPhilippinesVietnam

Latin AmericaPeru

AfricaBeninBurkina FasoGhanaKenyaNigeriaSenegalTanzaniaZambia

IICARI

III

IV-B

IV-A

V

VIII

VI

VII

X

CARAGA

XI

IX

ARMMXII

NCR

166298 341

226

353

235

328

330

298

314

315

249

226

312

327

340

Underweight children 0-5 years old0 - 20 (Significantly below average)201 - 276 (Below average)277 - 33 (Above average)331 - 100 (Significantly above average)

Source FNRI NNS 2003

N

04022010 15

Malnourished Children 0-5 years old by regions

04022010 16

Proportion of children aged 0-5 years old who are malnourished by municipalityProvince of Marinduque 2005

Source CBMS Survey 2005

Proportion of children aged 0-5 years old who are malnourished by barangay Province of Marinduque 2005

Source CBMS Survey 2005

04022010

Proportion of children aged 0-5 years old who are malnourished by purok and location of householdsMunicipality of Torrijos Marinduque 2005

18

Source CBMS Survey 2005

Monitoring the Impact of the crisis using CBMS

I ObjectivesII Why use CBMSIII Impact of the Global Financial

CrisisIV Mitigation ProgramsV Conclusion and

Recommendations

OBJECTIVES OF THE STUDY

1 To monitor the impact of the global financial and economic crisis on poverty in the Philippines

2 To identify coping strategies of households

3 To determine who benefits from government programs aimed at mitigating the impact of the crisis

4 To provide inputs to policymakers in prioritizing mitigating measures to address the impact of the crisis on poverty

Why use CBMS

Data from existing surveys are too aggregatedSurveys on poverty are conducted too infrequently ndash data when they become available cannot be used as basis for timely responseAbsence of data on coping strategies of householdsLack of data on access to government programs

TREND IN GDP

Decreasing trend in GDP growth starting Q3 of 2007

Source NSCB

Growth in Real GDP 2004-2009

0020

4060

80100

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Q1

Q2

Q3

2004 2005 2006 2007 2008 2009

Period

Gro

wth

Rat

e (

)

TREND IN EXPORTS

There is an increasing trend in volume of exports starting March 2009 but year-on-year growth is still in negative territory

Levels and Growth Rates of Exports 2007-2009

2000

2500

3000

3500

4000

4500

5000

Jan

Feb

Mar

Apr

May

Jun Jul

Aug

Sep Oct

Nov

Dec

Jan

Feb

Mar

Apr

May

Jun Jul

Aug

Sep Oct

Nov

Dec

Jan

Feb

Mar

Apr

May

Jun Jul

Aug

Sep

2007 2008 2009

FOB

valu

e (in

milli

on U

S do

llars

)

-50

-40

-30

-20

-10

0

10

20

30

Growth rate year-on-year ()

Source NSO

TREND IN UNEMPLOYMENT RATE

uarr in unemployment rate by 03 percentage points in January 2009 (y-o-y) uarr in unemployment rate by 02 percentage points in

July 2009 (y-o-y)

Unemployment 2007-2009

60

65

70

75

80

85

Jan Apr Jul Oct Jan Apr Jul Oct Jan Apr Jul

2007 2008 2009

Period

Unem

ploy

men

t Rat

e (

)

Source NSO

TREND IN LABOR TURNOVER RATESLabor Turnover 2007-2009

-20

-10

00

10

20

30

40

50

60

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2

2007 2008 2009

All Sectors

Manufacturing

Source BLES

Labor turnover rate for all sectors started to decline in Q2 of 2008 with the manufacturing sector posting negative turnover rate in Q1 of 2009

TREND IN OFW REMITTANCES

OFW remittances continue to exhibit general upward trend but year-on-year growth rates had slumped compared to previous years

Source BSP

Levels and Growth Rates of Overseas Filipinos Remittances (2007-2009)

1000

1100

1200

1300

1400

1500

1600

Jan Fe Ma Apr

Ma Jun Jul

Au Se Oct

No De Jan Fe Ma Apr

Ma Jun Jul

Au Se Oct

No De Jan Fe Ma Apr

Ma Jun Jul

Au Se

2007 2008 2009

Period

Am

ount

(in

mill

ion

USD

)

0

5

10

15

20

25

30

35

Gro

wth

Rat

e (

)

Amount

Grow thrate y ear-on-y ear

TREND IN OFW DEPLOYMENTOFW Deployment 2007-2009

200000

220000

240000

260000

280000

300000

320000

340000

360000

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1

2007 2008 2009

Period

Tota

l Dep

loym

ent

-300

-200

-100

00

100

200

300

400

500

600

Grow

th R

ate (

Y-O-

Y)

Total number of deployed OFWS increased in 2008 but growth rate (y-o-y) declined during the 2H of 2008

Source POEA

RELEVANT TRANSMISSION CHANNELS FOR THE PHILIPPINES

1 Overseas Employment and Remittance

2 Local EmploymentA Entrepreneurial ActivitiesB Wage Earners and Salaried Workers

DATA FROM CBMS

1 Outcome Indicators (Overseas Employment and Remittances Local Employment)

2 Impact Indicators (CBMS Core Indicators)3 Indicators of Coping Mechanisms (Expenses

on Food Utilities Education Health Transportation Communication and Recreation Sale and pawning of assets Borrowing money Seeking additional source of

income)4 Access to Programs

COVERAGE

No Barangay MunicipalityCity Province No of HHs1 Brgy 192 Pasay City NCR 8562 Poblacion III Sto Tomas Batangas 4663 Villa Angeles Orion Bataan 3544 Salvacion Puerto Princesa City Palawan 2375 Masikap Puerto Princesa City Palawan 2276 Gumamela Labo Camarines Norte 4327 San Vicente Santa Elena Camarines Norte 2258 Ando Borongan Eastern Samar 1749 San Miguel Llorente Eastern Samar 269

10 Magbangon Cabucgayan Biliran 259

Population of 15161 in 3499 households in 10 barangays

Italy71

Saudi Arabia250

USA143

Qatar107

UK107

Others321

Many of the retrenched workers used to work in private households health and social work and manufacturing sectors

RESULTS On Overseas Employment and RemittancesA Returning OFWs because of Retrenchment (By Country)

CountryNo of OFWs

Saudi Arabia 7USA 4Qatar 3UK 3Italy 2Others 9Total 28

Source CBMS Survey 2009

RESULTS On Overseas Employment and RemittancesB Wage Reduction among OFWs (By Country)

Qatar71

Singapore48

DPRK48

Saudi Arabia381

Others191

Unspecified71

USA95

Hong Kong SAR95

Most common reasons for wage reduction is reduction in working hours firm cutting costs and firm ncurring losses

Country No of OFWs

Saudi Arabia 16USA 4Hong Kong SAR 4Qatar 3Singapore 2DPRK 2Others 8Unspecified 3Total 42

Source CBMS Survey 2009

RESULTS On Local Employment

A Opening of New Business and Closing of Existing Business

Entrepreneurial Activities

Source CBMS Survey 2009

Indicator Magnitude Proportion

HHs engaged in new entrepreneurial activity 75 21

HHs engaged in an entrepreneurial activity 1817 519

HHs which closed a business 19 10

RESULTS On Local EmploymentB Change in the Number of Employed Persons and Amount of Monthly Income from the Business

Source CBMS Survey 2009

Indicator Magnitude Proportion

HHs with significant change in the monthly income from the business 158 87

Increase 33 209Decrease 125 791

HHs with significant change in the no of employed persons in the business 6 03

Increase 3 50Decrease 3 50

RESULTS On Local EmploymentA Loss of Job By Sector

19 of those in the labor force lost their jobs

One fifth of the affected individuals used to work in the manufacturing industry

There was no reported job loss linked to the agricultural sector

Source CBMS Survey 2009

Industry No Manufacturing 22 202Private households with employed person 15 138Education 12 110Other community social and personal service activities 9 83Wholesale amp retail trade repair of motor vehicles 8 73Hotels and restaurants

8 73Transport storage and communication 7 64Public administration and defense compulsory social security 7 64Financial intermediation 5 46Health and social work

4 37Construction 4 37Electricity gas and water supply 3 28Mining and quarrying 2 18Real estate renting and business activities

2 18Extra-territorial organizations and bodies 1 09Total 109 1000

RESULTS On Local EmploymentB Reduction in wage Number of Working Hours and Employment Benefits

With Wage Reduction

With Reduced Working Hours

With Reduced Benefits

No of Employed Persons

No No No Male 3155 47 15 37 12 5 016Female 1891 36 19 36 19 3 016Total 5046 83 16 73 14 8 016

Source CBMS Survey 2009

Almost half of those workers who experienced wage reduction are employed as plant and machine operators and assemblers About 20 are service workers and shop amp market sales workers

Generating Panel Data Using CBMSDefinition of same household over time

In CBMS a household in 1st round is the same with the household in the 2nd round if it has at least one common member in both the survey periods living in the dwelling unit for the specified time

What is the main purpose of Panel Data

bullHelpful in monitoring the status of each household over time through analysis of several phenomena such as dimensions of poverty

RESULTS Panel Data13+1 Core Indicators Brgy 192 Pasay City 2005 and 2009

Source CBMS Survey 2009

C B M S C o r e I n d ic a t o r s 2 0 0 5 2 0 0 9 H e a lt h a n d N u t r i t io n P r o p o r t i o n o f c h il d r e n a g e d 0 - 4 y e a r s o l d w h o d i e d 0 0 0 0 P r o p o r t i o n o f w o m e n w h o d i e d d u e to p r e g n a n c y r e l a t e d c a u s e s 0 0 0 0 P r o p o r t i o n o f c h il d r e n a g e d 0 - 5 y e a r s o l d w h o a r e m a ln o u r is h e d 0 0 1 8 S h e l t e r P r o p o r t i o n o f h o u s e h o l d s li v in g i n m a k e s h if t h o u s in g 0 3 3 1 P r o p o r t i o n o f h o u s e h o l d s th a t a r e s q u a t te r s b 0 0 4 3 2 W a t e r a n d S a n i ta t io n P r o p o r t i o n o f h o u s e h o l d s w i th o u t a c c e s s to s a fe w a t e r s u p p l y 3 7 0 6 P r o p o r t i o n o f h o u s e h o l d s w i th o u t a c c e s s to s a n it a r y t o i le t f a c i li t i e s 0 0 0 0 E d u c a t io n P r o p o r t i o n o f c h il d r e n a g e d 6 - 1 2 y e a r s o l d w h o a r e n o t a t t e n d i n g e le m e n ta r y s c h o o l 1 2 8 1 9 1

P r o p o r t i o n o f c h il d r e n a g e d 1 3 - 1 6 y e a r s o ld w h o a re n o t a t t e n d i n g s e c o n d a r y s c h o o l 2 3 3 2 3 8

In c o m e P r o p o r t i o n o f h o u s e h o l d s w i th i n c o m e b e lo w th e p o v e r t y th r e s h o ld 8 3 9 9 P r o p o r t i o n o f h o u s e h o l d s w i th i n c o m e b e lo w th e f o o d (s u b s i s te n c e ) t h r e s h o ld 2 2 2 8

P r o p o r t i o n o f h o u s e h o l d s th a t e x p e r i e n c e d f o o d s h o r ta g e 0 6 1 5 E m p lo y m e n t P r o p o r t i o n o f p e r s o n s w h o a r e u n e m p lo y e d 1 7 5 1 2 6 P e a c e a n d O r d e r P r o p o r t i o n o f p e r s o n s w h o w e r e v i c t im s o f c ri m e s 0 0 0 4

fo r

83 (2005)

Proportion of households with income below the poverty threshold 99 (2009)

RESULTS Coping Strategies

Seeking Additional Source of Income

The most common coping strategies adopted by the households is trying to look for work Having a secondary job was also commonly adopted coping mechanism among households surveyed

Source CBMS Survey 2009

TotalCoping Strategies Magnitude ProportionLooked for additional work 219 63Did additional work 167 48Employed members not previously working 65 19Looked for work abroad 53 15

RESULTS Coping Strategies

Tapping various fund sources

The most common coping strategies adopted by the households is borrowing money

Source CBMS Survey 2009

TotalCoping Strategies Magnitude Proportion

Borrowed money 1401 400Used savings 455 130Sold assets 68 19Pawned assets 166 47

No No No No Members who are studying used second-hand uniformshoes 212 508 120 12 246 272 578 165Reduced allowance for members who are studying 104 249 123 123 201 222 428 122Members who are studying used second-hand books 147 353 115 115 159 176 421 120Withdrawn children from school 5 12 21 21 35 39 61 17Shifted from private vehicleschool bus to commuting 11 26 34 34 12 13 61 17Others 8 19 12 12 13 14 33 09Transferred children from private school to public school 8 19 21 21 3 03 32 09Members who are studying skipped classes 5 12 6 06 13 14 24 07Transferred children from daycare to homecare 0 0 5 05 2 02 7 02

TotalCoping Strategies Urban NCR Urban Outside NCR Rural

RESULTS Coping StrategiesEducation

Source CBMS Survey 2009

Most common strategies adopted

2 Reduced allowance400 (122)

3 Second-hand books336 (120)

1 Hand-me-down uniforms496 (18)

RESULTS Coping Strategies

A Shifting of Children from Private School to Public School

About 08 of students who were studying in a private school in the past school year moved to a public school in the coming school year (ie 2009-10)

No of Students

No of Children who Shifted from Private to Public

School Male 2234 18 08Female 2074 15 07Total 3974 33 08Source CBMS Survey 2009

RESULTS Coping Strategies

B Withdrawal of Children from School

No of Students

No of Withdrawn Children

Male 2273 39 17Female 2094 20 10Total 4368 59 14

About 14 of students who were studying were withdrawn from school in the coming school year (ie 2009-10)

Including those who are withdrawn in the coming school yearSource CBMS Survey 2009

RESULTS Coping StrategiesHealth

Source CBMS Survey 2009

Number PercentShifted to generic drugscheaper drug brands 1184 338Used medicinal plantsherbal medicines 995 284Shifted to government health centers and hospitals 760 217Resorted to self-medication 710 203Shifted to alternative medicine 445 127Lessened the availment of medical treatment for any illness 183 52Reduced prescribed drug intake 176 50Did not buy medicine 172 49Did not seek medical treatment for any illness 153 44Discontinued intake of prescribed medicine 94 27Others 62 18

RESULTS Access to Programs

Some government programs

Comprehensive Livelihood and Emergency Employment Programs (CLEEP)

Pantawid Pamilyang Pilipino Program (conditional cash transfer)

NFA Rice access program (price subsidy)

Self-Employment Assistance-Kaunlaran(SEA-K) (credit)

Philhealth Sponsored Programs (health insurance)

RESULTS Access to ProgramsA Access to NFA Rice Program

Source CBMS Survey 2009

Not all HHs in the lowest income quintile were able to access the program Yet there were households in the richest quintile who were able to benefit from the program

Income Quintile Magnitude

of HHs in the Income Quintile who were able to

access1 482 6892 375 5363 258 3694 165 2365 87 124

Total 1367 391

RESULTS Access to NFA Rice Program

Source Authorsrsquo calculations

489 of all households who access the program are considered non-poor 356 of

poor households were not able to access the program

SITE LEAKAGE RATE EXCLUSION RATEALL SITES 489 356Rural 388 228Urban NCR 878 446Urban Area Outside NCR 416 479

CONCLUSION AND RECOMMENDATIONS

GOOD NEWS

The impact was not as large as initially anticipated Modest increase in poverty is expected from the GFC

BAD NEWS

Coupled with the impact of rice and fuel price shocks in 2008 and the recent natural calamities povertyincidence is expected to go up significantly in 2009Rice prices have not gone down to pre-price shock levels Fuel prices have declined since the peak in 2008 but have started to go up again

CONCLUSION AND RECOMMENDATIONS

In response to the crisis households adoptedvarious coping strategies some of which may have long-term adverse effects in the long-run

Preliminary results on access to government programs suggest the need to improve program design and targeting efficiency

Need to put in place local monitoring system to provide basis for timely response

Implications on achieving the MDGs

Results imply greater challenges to reach some of the MDGs

Goal 1Halve income poverty by 2015Achieve full employmentHalve the proportion of people who suffer from hunger

Goal 2 ndash Achieve universal access to educationGoal 3 ndash Promote gender equalityGoal 4 ndash Reduce child mortality

Next steps Collaboration

PEP collaboration with UNESCAP and other UN agenciesbull What are the potential areas of common interestbull Involvement through other existing networks such as ARTNeT and

the Social Protection in Asia networkbull Involvement of UN Commissions in PEP conferences (eg

ECAAddis) PEP studies on crisis to be completed and presentedin Dakar on June 12-18

bull Conference in September on the impacts of the GFC implications and future priorities

Other potential collaborationMDG monitoringMacroeconomic policyRisk mitigation and social protection Labour markets and MigrationFiscal Policy and Accountability

Next steps Collaboration

Feeding evidence to policymakers in Asia ndash example evaluation of conditional cash transfersResearch to Policy and Practice (R2PP)

Learning from best practice and sharing of experiences eg Vietnamese Economics Research Network and ECNABuilding capacity for communicating research results to policy makers

Research Networks as Platforms for collaborationSocial Protection in AsiaARTNeTPEPDevelopment Analysis Network in the GMSEnvironmental Economics Program in South East AsiaLIRNE AsiaGlobal Development Network EADN

Next steps Collaboration

Other institutional platforms for joint cooperationASEAN APEC on regional integrationGMSSAARCERIA ADBI Policy Research Institutions Tsinghua LKY UNU-WIDER

Other Suggestions

Thank YouDr W R Spence

Economic and Social Development Affiliatesrspencegmailcom

Dr Celia ReyesPEPshyCBMS Network Office (Asia)

Angelo King Institute for Economic and Business StudiesEmail at reyescdlsshycsbeduphWebsite wwwpepshynetorg

Dr Evan DueInternational Development Research Centre

edueidrcorgsg

  • ANALYZING AND MONITORING THE IMPACT OF THE GLOBAL FINANCIAL CRISIS
  • Outline of Presentation
  • PEP Vision and Objectives
  • PEP A decade of policy research and development
  • Research Themes
  • Research Themes
  • PEP Network
  • MPIA Crisis Impact Studies
  • MPIA Crisis Impact Studies - Preliminary results
  • KEY FEATURES OF CBMS
  • USES OF CBMS
  • CBMS Coverage
  • Monitoring the Impact of the crisis using CBMS
  • OBJECTIVES OF THE STUDY
  • Why use CBMS
  • TREND IN GDP
  • TREND IN EXPORTS
  • TREND IN UNEMPLOYMENT RATE
  • TREND IN LABOR TURNOVER RATES
  • TREND IN OFW REMITTANCES
  • TREND IN OFW DEPLOYMENT
  • RELEVANT TRANSMISSION CHANNELS FOR THE PHILIPPINES
  • DATA FROM CBMS
  • COVERAGE
  • RESULTS On Overseas Employment and Remittances
  • RESULTS On Overseas Employment and Remittances
  • RESULTS On Local Employment
  • RESULTS On Local Employment
  • RESULTS On Local Employment
  • RESULTS On Local Employment
  • Generating Panel Data Using CBMS
  • RESULTS Panel Data
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Access to Programs
  • RESULTS Access to Programs
  • RESULTS Access to NFA Rice Program
  • CONCLUSION AND RECOMMENDATIONS
  • CONCLUSION AND RECOMMENDATIONS
  • Implications on achieving the MDGs
  • Next steps Collaboration
  • Next steps Collaboration
  • Next steps Collaboration
  • Thank You
    • ANALYZING AND MONITORING THE IMPACT OF THE GLOBAL FINANCIAL CRISIS

      William Randall Spence

      Evan Due

      Celia Reyes

      Outline of Presentation

      What is PEP

      Modeling and Policy Impact Analysis (MPIA) Studies of Crisis Impacts

      Community Based Monitoring Systems (CBMS) Study of Crisis Impacts Coping Mechanisms and Government responses in the Philippines

      Next Steps

      PEP Vision and Objectives

      Vision

      PEP is a global network of developing country researchers with the skills and reputation to participate in and influence national and international academic and policy debates on poverty issues

      Objectives

      Better understand the causes and consequences of poverty

      Propose pro-poor policies and programs

      Improve the measurement and monitoring of poverty

      Strengthen local research capacity on poverty issues

      Develop new concepts and techniques for poverty analysis

      PEP A decade of policy research and development

      Engage a critical mass of researchers in developing countries

      Foster comparative analyses across countries and teams

      Provide systematic training and technical assistance

      Increase visibility dissemination and policy impact

      Interact and share knowledge with the other PEP programs and projects and with related national and international initiatives

      Comprised of 4 sub networks ndash MPIA PMMA CBMS and PIERI

      Number of projects ndash 111

      Research Themes

      MPIA

      Economic Growth

      Public Spending especially on education and health

      Sectoral policies particularly agriculture

      Poverty reduction policies

      Labor markets (migration education gender regulation)

      CBMS

      Poverty monitoring

      Targeting

      Gender responsive budgeting

      Local governance

      Localizing the MDGs

      Research Themes

      PMMA

      Multidimensional poverty analysis

      Public spending and its impact on poverty and equity

      Growth and poverty dynamics

      Policy impact analysis

      Intra-household allocation of well-being

      PIERI

      Education

      Health

      Social protection

      Financial Crisis Impacts

      CBMS MPIA PMMA

      PEP Network

      Core funders ndash IDRC CIDA AusAID

      Main partner institutions - AKI Philippines CRES Senegal GRADE in Peru Laval SANEM OPHI IFPRI

      Collaboration with the UN

      Support for CBMS implementation in the Philippines and Kenya

      CBMS-UNDP Development Grants

      Gender responsive budgeting with UNIFEM in Peru

      UNICEF commissioned study on the impact of GFC on child poverty

      Preparation of Provincial MDG reports for presentation in September 2010 meeting in New York

      MPIA Crisis Impact Studies

      CGE modelling integrated with household survey data microsimulation

      Transmission channels

      Trade Remittances Foreign direct investment Aid flows (Countercyclical fiscal policy)

      Household consumption and welfare fall particularly poor households Bangladesh

      Garment exports and manufacturing sector declined

      Decline in agricultural sector and overall GDP some expansion in total exports

      Poorer households appear to be the major victims

      MPIA Crisis Impact Studies - Preliminary results

      Pakistan

      Declines of FDI ( 28) foreign portfolio investment (128) exports (13) ODA (613)

      Sharp decline in development spending particularly health education population and social security serious challenges for MDG realization

      Export declines hit high income earners drop in ODA was harsh on the poor

      Philippines

      Garment exports and manufacturing sector declined

      Household consumption and welfare fall particularly poor households

      Decline in agricultural sector and overall GDP some expansion in total exports

      Poorer households appear to be the major victims

      KEY FEATURES OF CBMS

      Involves a census of all households in a community

      Local government unit (LGU)-based while promoting community participation

      Taps existing LGU-personnelcommunity members as monitors

      Establishes database at each geopolitical level

      Has a core set of indicators but system is flexible enough to accommodate additional indicators

      Frequent rapid quickly processed and available results

      Inexpensive and paid mostly by local governments (more advanced systems like Philippines)

      10

      National

      Provincial

      MunicipalCity

      Village

      Administrative Structure

      Information Availability

      CBMS can fill the gap

      National surveys

      CBMS

      Decentralization creates new information demands that may be best satisfied with CBMS

      11

      Survival

      Security

      Enabling

      Health

      Food amp Nutrition

      H20 amp Sanitation

      Shelter

      Peace amp Order

      Income

      Employment

      Education

      1 Child deaths (0-5 yrs old)

      2 Women deaths due to pregnancy

      -related causes

      3 Malnourished children (0-5 yrs old)

      4 HHs wo access to safe water

      5 HHs wo access sanitary toilet

      6 HHs who are squatters

      7 HHs living in makeshift housing

      8 HHs victimized by crimes

      9 HHs wincome below poverty threshold

      10 HHs wincome below food threshold

      11 HHs who experienced food shortage

      12 Unemployment

      13 Elementary school participation

      14 High school participation

      CBMS IndicatorsDimensions of PovertyCore Indicators

      CBMS Core Indicators

      12

      Harmonization of CBMS and the MDG

      By continuous consultation workshops and advocacy with national agencies and local governments 13 core indictors were established and finalized for national and local monitoring purposes With the inclusion of the indicator on maternal deaths the CBMS core indicator was adopted as the set of core indicators for the MDG localization here in the Philippines

      The core indicators are categorized under the 8 major dimensions of poverty such as health food and nutrition water and sanitation shelter peace and order income employment and education These are set of poverty measurements which are in turn classified as survival security and enabling needs LGUs may add other indicators or use proxy indicators to monitor area-specific concerns

      Uses of CBMS

      Empowers community by building its capacity to participate in diagnosing the problem offering solutions and monitoring the impact of these solutions

      Enriches existing databases both at the local and national levels

      Enhances the preparation of socioeconomic profiles as well as development and investment plans

      Improves the allocation of resources by making it easier to prioritize interventions based on the local poverty diagnosis

      Increases equity in resource allocation between communities and households as well as between men and women

      Helps to monitor the impact of projects and programs thus contributing to poverty reduction efforts

      Helps in analyzing the impact of economic shocks (eg price shocks and global crisis)

      13

      CBMS Coverage

      Asia

      Bangladesh

      Cambodia

      Indonesia

      Lao PDR

      Pakistan

      Philippines

      Vietnam

      Latin America

      Peru

      Africa

      Benin

      Burkina Faso

      Ghana

      Kenya

      Nigeria

      Senegal

      Tanzania

      Zambia

      2212010

      15

      Malnourished Children 0-5 years old by regions

      2212010

      16

      Proportion of children aged 0-5 years old who are malnourished by municipality

      Province of Marinduque 2005

      Source CBMS Survey 2005

      Proportion of children aged 0-5 years old who are malnourished by barangay

      Province of Marinduque 2005

      Source CBMS Survey 2005

      2212010

      18

      Proportion of children aged 0-5 years old who are malnourished by purok and location of households

      Municipality of Torrijos Marinduque 2005

      Source CBMS Survey 2005

      Monitoring the Impact of the crisis using CBMS

      Objectives

      Why use CBMS

      Impact of the Global Financial Crisis

      Mitigation Programs

      Conclusion and Recommendations

      19

      OBJECTIVES OF THE STUDY

      To monitor the impact of the global financial and economic crisis on poverty in the Philippines

      To identify coping strategies of households

      To determine who benefits from government programs aimed at mitigating the impact of the crisis

      To provide inputs to policymakers in prioritizing mitigating measures to address the impact of the crisis on poverty

      Why use CBMS

      Data from existing surveys are too aggregated

      Surveys on poverty are conducted too infrequently ndash data when they become available cannot be used as basis for timely response

      Absence of data on coping strategies of households

      Lack of data on access to government programs

      TREND IN GDP

      Decreasing trend in GDP growth starting Q3 of 2007

      Source NSCB

      TREND IN EXPORTS

      There is an increasing trend in volume of exports starting March 2009 but year-on-year growth is still in negative territory

      Source NSO

      TREND IN UNEMPLOYMENT RATE

      uarr in unemployment rate by 03 percentage points in January 2009 (y-o-y)

      uarr in unemployment rate by 02 percentage points in July 2009 (y-o-y)

      Source NSO

      TREND IN LABOR TURNOVER RATES

      All Sectors

      Manufacturing

      Labor turnover rate for all sectors started to decline in Q2 of 2008 with the manufacturing sector posting negative turnover rate in Q1 of 2009

      Source BLES

      TREND IN OFW REMITTANCES

      OFW remittances continue to exhibit general upward trend but year-on-year growth rates had slumped compared to previous years

      Source BSP

      TREND IN OFW DEPLOYMENT

      Total number of deployed OFWS increased in 2008 but growth rate (y-o-y) declined during the 2H of 2008

      Source POEA

      RELEVANT TRANSMISSION CHANNELS FOR THE PHILIPPINES

      Overseas Employment and Remittance

      Local Employment

      A Entrepreneurial Activities

      B Wage Earners and Salaried Workers

      28

      DATA FROM CBMS

      Outcome Indicators (Overseas Employment and Remittances Local Employment)

      Impact Indicators (CBMS Core Indicators)

      Indicators of Coping Mechanisms (Expenses on Food Utilities Education Health Transportation Communication and Recreation Sale and pawning of assets Borrowing money Seeking additional source of income)

      Access to Programs

      29

      COVERAGE

      Population of 15161 in 3499 households in 10 barangays

      30

      RESULTS On Overseas Employment and Remittances

      A Returning OFWs because of Retrenchment (By Country)

      Many of the retrenched workers used to work in private households health and social work and manufacturing sectors

      Source CBMS Survey 2009

      31

      Most of the retrenched workers used to work in private households health and social work and manufacturing sectors

      RESULTS On Overseas Employment and Remittances

      B Wage Reduction among OFWs (By Country)

      Most common reasons for wage reduction is reduction in working hours firm cutting costs and firm ncurring losses

      Source CBMS Survey 2009

      32

      Most of the affected OFWs are working as service workers and shop and market sales workers

      The most common reason reported for the reduction in wage is the reduction in working hours firms cutting costs and firms incurring losses

      RESULTS On Local Employment

      A Opening of New Business and Closing of Existing Business

      Entrepreneurial Activities

      Source CBMS Survey 2009

      33

      RESULTS On Local Employment

      B Change in the Number of Employed Persons and Amount of Monthly Income from the Business

      Source CBMS Survey 2009

      34

      RESULTS On Local Employment

      A Loss of Job By Sector

      19 of those in the labor force lost their jobs

      One fifth of the affected individuals used to work in the manufacturing industry

      There was no reported job loss linked to the agricultural sector

      Source CBMS Survey 2009

      35

      RESULTS On Local Employment

      B Reduction in wage Number of Working Hours and Employment Benefits

      Source CBMS Survey 2009

      Almost half of those workers who experienced wage reduction are employed as plant and machine operators and assemblers About 20 are service workers and shop amp market sales workers

      36

      Generating Panel Data Using CBMS

      Definition of same household over time

      In CBMS a household in 1st round is the same with the household in the 2nd round if it has at least one common member in both the survey periods living in the dwelling unit for the specified time

      What is the main purpose of Panel Data

      Helpful in monitoring the status of each household over time through analysis of several phenomena such as dimensions of poverty

      37

      RESULTS Panel Data

      13+1 Core Indicators Brgy 192 Pasay City 2005 and 2009

      Source CBMS Survey 2009

      83 (2005)

      Proportion of households with income below the poverty threshold

      99 (2009)

      38

      RESULTS Coping Strategies

      Seeking Additional Source of Income

      The most common coping strategies adopted by the households is trying to look for work Having a secondary job was also commonly adopted coping mechanism among households surveyed

      Source CBMS Survey 2009

      39

      RESULTS Coping Strategies

      Tapping various fund sources

      The most common coping strategies adopted by the households is borrowing money

      Source CBMS Survey 2009

      40

      RESULTS Coping Strategies

      Education

      Source CBMS Survey 2009

      Most common strategies adopted

      2 Reduced allowance

      400 (122)

      3 Second-hand books

      336 (120)

      1 Hand-me-down uniforms

      496 (18)

      41

      RESULTS Coping Strategies

      A Shifting of Children from Private School to Public School

      About 08 of students who were studying in a private school in the past school year moved to a public school in the coming school year (ie 2009-10)

      Source CBMS Survey 2009

      42

      RESULTS Coping Strategies

      B Withdrawal of Children from School

      About 14 of students who were studying were withdrawn from school in the coming school year (ie 2009-10)

      Including those who are withdrawn in the coming school year

      Source CBMS Survey 2009

      43

      RESULTS Coping Strategies

      Health

      Source CBMS Survey 2009

      44

      RESULTS Access to Programs

      Some government programs

      Comprehensive Livelihood and Emergency Employment Programs (CLEEP)

      Pantawid Pamilyang Pilipino Program (conditional cash transfer)

      NFA Rice access program (price subsidy)

      Self-Employment Assistance-Kaunlaran

      (SEA-K) (credit)

      Philhealth Sponsored Programs (health insurance)

      45

      RESULTS Access to Programs

      A Access to NFA Rice Program

      Source CBMS Survey 2009

      Not all HHs in the lowest income quintile were able to access the program Yet there were households in the richest quintile who were able to benefit from the program

      46

      RESULTS Access to NFA Rice Program

      Source Authorsrsquo calculations

      489 of all households who access the program are considered non-poor

      356 of poor households were not able to access the program

      47

      CONCLUSION AND RECOMMENDATIONS

      GOOD NEWS

      The impact was not as large as initially anticipated Modest increase in poverty is expected from the GFC

      BAD NEWS

      Coupled with the impact of rice and fuel price shocks in 2008 and the recent natural calamities poverty

      incidence is expected to go up significantly in 2009

      Rice prices have not gone down to pre-price shock levels Fuel prices have declined since the peak in 2008 but have started to go up again

      48

      CONCLUSION AND RECOMMENDATIONS

      In response to the crisis households adopted

      various coping strategies some of which may

      have long-term adverse effects in the long-run

      Preliminary results on access to government programs suggest the need to improve program design and targeting efficiency

      Need to put in place local monitoring system to provide basis for timely response

      49

      Implications on achieving the MDGs

      Results imply greater challenges to reach some of the MDGs

      Goal 1

      Halve income poverty by 2015

      Achieve full employment

      Halve the proportion of people who suffer from hunger

      Goal 2 ndash Achieve universal access to education

      Goal 3 ndash Promote gender equality

      Goal 4 ndash Reduce child mortality

      Next steps Collaboration

      PEP collaboration with UNESCAP and other UN agencies

      What are the potential areas of common interest

      Involvement through other existing networks such as ARTNeT and the Social Protection in Asia network

      Involvement of UN Commissions in PEP conferences (eg ECAAddis) PEP studies on crisis to be completed and presented in Dakar on June 12-18

      Conference in September on the impacts of the GFC implications and future priorities

      Other potential collaboration

      MDG monitoring

      Macroeconomic policy

      Risk mitigation and social protection

      Labour markets and Migration

      Fiscal Policy and Accountability

      Next steps Collaboration

      Feeding evidence to policymakers in Asia ndash example evaluation of conditional cash transfers

      Research to Policy and Practice (R2PP)

      Learning from best practice and sharing of experiences eg Vietnamese Economics Research Network and ECNA

      Building capacity for communicating research results to policy makers

      Research Networks as Platforms for collaboration

      Social Protection in Asia

      ARTNeT

      PEP

      Development Analysis Network in the GMS

      Environmental Economics Program in South East Asia

      LIRNE Asia

      Global Development Network EADN

      Next steps Collaboration

      Other institutional platforms for joint cooperation

      ASEAN APEC on regional integration

      GMS

      SAARC

      ERIA ADBI

      Policy Research Institutions Tsinghua LKY

      UNU-WIDER

      Other Suggestions

      Thank You

      Dr W R Spence

      Economic and Social Development Affiliates

      rspencegmailcom

      Dr Celia Reyes

      PEP-CBMS Network Office (Asia)

      Angelo King Institute for Economic and Business Studies

      Email at reyescdls-csbeduph

      Website

      Dr Evan Due

      International Development Research Centre

      edueidrcorgsg

      image2png

      image3png

      image4wmf

      I

      I

      C

      A

      R

      I

      I

      I

      I

      I

      V

      -

      B

      I

      V

      -

      A

      V

      V

      I

      I

      I

      V

      I

      V

      I

      I

      X

      C

      A

      R

      A

      G

      A

      X

      I

      I

      X

      A

      R

      M

      M

      X

      I

      I

      N

      C

      R

      1

      6

      6

      2

      9

      8

      3

      4

      1

      2

      2

      6

      3

      5

      3

      2

      3

      5

      3

      2

      8

      3

      3

      0

      2

      9

      8

      3

      1

      4

      3

      1

      5

      2

      4

      9

      2

      2

      6

      3

      1

      2

      3

      2

      7

      3

      4

      0

      U

      n

      d

      e

      r

      w

      e

      i

      g

      h

      t

      c

      h

      i

      l

      d

      r

      e

      n

      0

      -

      5

      y

      e

      a

      r

      s

      o

      l

      d

      0

      -

      2

      0

      (

      S

      i

      g

      n

      i

      f

      i

      c

      a

      n

      t

      l

      y

      b

      e

      l

      o

      w

      a

      v

      e

      r

      a

      g

      e

      )

      2

      0

      1

      -

      2

      7

      6

      (

      B

      e

      l

      o

      w

      a

      v

      e

      r

      a

      g

      e

      )

      2

      7

      7

      -

      3

      3

      (

      A

      b

      o

      v

      e

      a

      v

      e

      r

      a

      g

      e

      )

      3

      3

      1

      -

      1

      0

      0

      (

      S

      i

      g

      n

      i

      f

      i

      c

      a

      n

      t

      l

      y

      a

      b

      o

      v

      e

      a

      v

      e

      r

      a

      g

      e

      )

      S

      o

      u

      r

      c

      e

      F

      N

      R

      I

      N

      N

      S

      2

      0

      0

      3

      N

      image5png

      image6png

      image7png

      image8png

      image9png

      image10png

      image11emf

      Growth in Real GDP 2004-2009

      00

      20

      40

      60

      80

      100

      Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3

      200420052006200720082009

      Period

      Growth Rate ()

      Microsoft_Office_Excel_97-2003_Worksheet1xls

      Chart1

      Period
      Growth Rate ()
      Growth in Real GDP 2004-2009
      71529376518
      70971917832
      56334090248
      57579353406
      45052369793
      51201849162
      46798602194
      54191318263
      5498076131
      52739168734
      51543573711
      54299165723
      68889919615
      83375916605
      68383428107
      63386321647
      39222542035
      41604513911
      45587676212
      28543926548
      0593589474
      14516133597
      07623973192

      return_count

      No of OFWs
      No of retrenched OFWs
      USA15
      UK 11
      7
      4
      3
      3
      2
      8

      Sheet1

      pasay_HHs_brgy

      retr_region

      No of OFWs
      15
      6
      5
      1

      Sheet5

      OFW_lost_occu

      OFW_lost_occu

      No of OFWs

      RW_OFW

      RW_OFW

      No of OFWs
      Qatar71
      Singapore48
      DPRK48
      Saudi Arabia381
      Others191
      Unspecified71
      USA95
      Hong Kong SAR95

      ret_country

      No of OFWs
      Male76
      Female24

      lostjob_dom

      No

      gdp (3)

      gdp (3)

      Retrenched OFWs
      Retrenched OFWs

      losjob_industry

      lost_job_code

      lost_job_code

      Period
      Growth Rate ()
      Growth in Real GDP 2004-2009

      retren_industry

      access to programs

      access to programs

      Magnitude

      RH_dom

      RH_dom

      No

      Sheet4

      RW_dom

      red_benf

      coping

      sum

      gdp (2)

      Sheet7

      lostjob

      lostjob

      Real GDP
      Period
      Amount in billion pesos
      Real GDP 2003-2009

      gdp

      privtopub

      withSY

      Chart1_turnover

      turnover

      ret_region

      All Sectors
      Manufacturing
      156
      -046
      357
      03
      331
      -008
      287
      081
      476
      386
      199
      0
      205
      -037
      069
      01
      027
      -138
      221
      224

      access to programs (2)

      image12emf

      Levels and Growth Rates of Exports 2007-2009

      2000

      2500

      3000

      3500

      4000

      4500

      5000

      Jan

      Feb

      Mar

      Apr

      May

      Jun

      Jul

      Aug

      Sep

      Oct

      NovDec

      Jan

      Feb

      Mar

      Apr

      May

      Jun

      Jul

      Aug

      Sep

      Oct

      NovDec

      Jan

      Feb

      Mar

      Apr

      May

      Jun

      Jul

      Aug

      Sep

      200720082009

      FOB value (in million US dollars)

      -50

      -40

      -30

      -20

      -10

      0

      10

      20

      30

      Growth rate year-on-year ()

      Microsoft_Office_Excel_97-2003_Worksheet2xls

      Chart4

      FOB Value
      Growth rate year-on-year
      FOB value (in million US dollars)
      Growth rate year-on-year ()
      Levels and Growth Rates of Exports 2007-2009
      398694
      218
      371731
      78
      447754
      73
      411732
      51
      412164
      61
      411669
      15
      418799
      43
      410407
      -4
      437254
      46
      464836
      105
      39475
      -21
      447244
      214
      423056
      6
      411201
      105
      419313
      -66
      432472
      49
      422412
      23
      451341
      88
      443723
      44
      439296
      66
      443865
      11
      397104
      -148
      351297
      -114
      267458
      -403
      251119
      -406
      250629
      -391
      290673
      -308
      280311
      -352
      308786
      -269
      34063
      -248
      331077
      -254
      347289
      -21
      363398
      -183

      Sheet1

      Sheet1

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      0
      0
      1

      Sheet2

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances

      Sheet3

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances

      Sheet4

      Sheet5

      Sheet6

      Sheet6

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      10994
      1264036
      1
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      Unemployment Rate
      Period
      Unemployment Rate ()
      Unemployment (2004-2009)

      image13emf

      Unemployment 2007-2009

      60

      65

      70

      75

      80

      85

      JanAprJulOctJanAprJulOctJanAprJul

      200720082009

      Period

      Unemployment Rate ()

      Microsoft_Office_Excel_97-2003_Worksheet3xls

      Chart1

      Period
      Unemployment Rate ()
      Unemployment 2007-2009
      78
      74
      78
      63
      74
      8
      74
      68
      77
      75
      76

      Sheet1

      Sheet1

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      0
      0
      1

      Sheet2

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances

      Sheet3

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances

      Sheet4

      Sheet5

      Sheet6

      Sheet6

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      10994
      1264036
      1
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      Unemployment Rate
      Period
      Unemployment Rate ()
      Unemployment (2004-2009)
      Period
      Unemployment Rate ()
      Unemployment 2007-2009

      image14emf

      Labor Turnover 2007-2009

      -20

      -10

      00

      10

      20

      30

      40

      50

      60

      Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2

      200720082009

      Microsoft_Office_Excel_97-2003_Worksheet4xls

      return_count

      No of OFWs
      No of retrenched OFWs
      USA15
      UK 11
      7
      4
      3
      3
      2
      8

      Sheet1

      pasay_HHs_brgy

      retr_region

      No of OFWs
      15
      6
      5
      1

      Sheet5

      OFW_lost_occu

      OFW_lost_occu

      No of OFWs
      9
      5
      5
      3
      5

      RW_OFW

      RW_OFW

      No of OFWs
      Qatar71
      Singapore48
      DPRK48
      Saudi Arabia381
      Others191
      Unspecified71
      USA95
      Hong Kong SAR95
      16
      4
      4
      3
      2
      2
      8
      3

      ret_country

      No of OFWs
      Male76
      Female24
      32
      10

      lostjob_dom

      No
      13
      6
      6
      6
      5
      6

      gdp (3)

      gdp (3)

      Retrenched OFWs
      Retrenched OFWs
      19
      8

      losjob_industry

      lost_job_code

      lost_job_code

      Growth Rate
      Period
      Growth Rate ()
      Growth in Real GDP 2004-2009
      71529376518
      70971917832
      56334090248
      57579353406
      45052369793
      51201849162
      46798602194
      54191318263
      5498076131
      52739168734
      51543573711
      54299165723
      68889919615
      83375916605
      68383428107
      63386321647
      39222542035
      41604513911
      45587676212
      28543926548
      0593589474
      14516133597

      retren_industry

      access to programs

      access to programs

      Magnitude

      RH_dom

      RH_dom

      No
      6
      5
      4
      3
      3
      2
      4

      Sheet4

      RW_dom

      red_benf

      coping

      sum

      gdp (2)

      Sheet7

      lostjob

      lostjob

      Real GDP
      Period
      Amount in billion pesos
      Real GDP 2003-2009
      253672
      264189
      264671
      302539
      271817
      282939
      279581
      319959
      284063
      297426
      292665
      337298
      299681
      313112
      30775
      355613
      320326
      339218
      328795
      378154
      33289
      353331
      343784
      388948
      334866
      35846

      gdp

      privtopub

      withSY

      Chart1_turnover

      turnover

      ret_region

      All Sectors
      Manufacturing
      Labor turnover rates ()
      Labor Turnover 2007-2009
      156
      -046
      357
      03
      331
      -008
      287
      081
      476
      386
      199
      0
      205
      -037
      069
      01
      027
      -138
      221
      224

      access to programs (2)

      image15emf

      Levels and Growth Rates of Overseas Filipinos Remittances (2007-2009)

      1000

      1100

      1200

      1300

      1400

      1500

      1600

      Jan

      Fe

      MaAprMa

      Jun

      Jul

      Au

      Se

      Oct

      NoDe

      Jan

      Fe

      MaAprMa

      Jun

      Jul

      Au

      Se

      Oct

      NoDe

      Jan

      Fe

      MaAprMa

      Jun

      Jul

      Au

      Se

      200720082009

      Period

      Amount (in million USD)

      0

      5

      10

      15

      20

      25

      30

      35

      Growth Rate ()

      Amount

      Growth

      rate year-

      on-year

      Microsoft_Office_Excel_97-2003_Worksheet5xls

      Chart5

      Amount
      Growth rate year-on-year
      Period
      Amount (in million USD)
      Growth Rate ()
      Levels and Growth Rates of Overseas Filipinos Remittances (2007-2009)
      10994
      199
      10855
      254
      13048
      264
      119154
      326
      123714
      84
      1115753
      1
      1096558
      46
      1206942
      106
      1139845
      124
      1388459
      171
      118697
      38
      1396976
      59
      1264036
      15
      1258638
      159
      1427807
      94
      141021
      184
      1429832
      156
      1450838
      30
      1366796
      246
      1332023
      104
      1332912
      169
      1434726
      33
      1311322
      105
      14077
      08
      1265515
      01
      1320032
      49
      1471482
      31
      1441741
      22
      1482175
      37
      1498737
      33
      1494038
      93
      1369084
      28
      1447
      86

      Sheet1

      Sheet1

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      10994
      1264036
      1

      Sheet2

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances
      10994
      199
      10855
      254
      13048
      264
      119154
      326
      123714
      84
      1115753
      1
      1096558
      46
      1206942
      106
      1139845
      124
      1388459
      171
      118697
      38
      1396976
      59
      1264036
      15
      1258638
      159
      1427807
      94
      141021
      184
      1429832
      156
      1450838
      30
      1366796
      246
      1332023
      104
      1332912
      169
      1434726
      33
      1311322
      105
      14077
      08
      1265515
      01
      1320032
      49
      1471482
      31
      1441741
      22
      1482175
      37
      1498737
      33
      1494038
      93
      1369084
      28

      Sheet3

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances
      10994
      199
      10855
      254
      13048
      264
      119154
      326
      123714
      84
      1115753
      1
      1096558
      46
      1206942
      106
      1139845
      124
      1388459
      171
      118697
      38
      1396976
      59
      1264036
      15
      1258638
      159
      1427807
      94
      141021
      184
      1429832
      156
      1450838
      30
      1366796
      246
      1332023
      104
      1332912
      169
      1434726
      33
      1311322
      105
      14077
      08
      1265515
      01
      1320032
      49
      1471482
      31
      1441741
      22
      1482175
      37
      1498737
      33
      1494038
      93
      1369084
      28
      1447
      86

      Sheet4

      Sheet5

      Sheet6

      Sheet6

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      10994
      1264036
      1
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      FOB Value
      Growth rate year-on-year
      Unemployment Rate

      image16emf

      OFW Deployment 2007-2009

      200000

      220000

      240000

      260000

      280000

      300000

      320000

      340000

      360000

      Q1Q2Q3Q4Q1Q2Q3Q4Q1

      200720082009

      Period

      Total Deployment

      -300

      -200

      -100

      00

      100

      200

      300

      400

      500

      600

      Growth Rate (Y-O-Y)

      Microsoft_Office_Excel_97-2003_Worksheet6xls

      monthly total

      monthly total

      New hires
      15592
      24125
      28212
      19947
      25864
      24320
      32275
      27012
      33009
      26967
      28569
      27368
      19202
      28982
      19140
      27651
      35935
      38535
      38075
      30389
      40062
      34662
      34238
      30102

      Sheet2

      2007 - Total
      2008 - Total
      2007 - Landbased
      2008 - Landbased
      2007 - New hires
      2008 - New hires
      2007 - Rehires
      2008 - Rehires
      2007 - Seabased
      2008 - Seabased
      69409
      106053
      51892
      87841
      15592
      19202
      36300
      68639
      17517
      18212
      65359
      86181
      46311
      64644
      24125
      28982
      22186
      35662
      19048
      21537
      80015
      61979
      58069
      43921
      28212
      19140
      29857
      24781
      21946
      18058
      78493
      94747
      57085
      74446
      19947
      27651
      37138
      46795
      21408
      20301
      89500
      125919
      66918
      103434
      25864
      35935
      41054
      67499
      22582
      22485
      96948
      123483
      77403
      100617
      24320
      38535
      53083
      62082
      19545
      22866
      114720
      118185
      89942
      93891
      32275
      38075
      57667
      55816
      24778
      24294
      105492
      117712
      81716
      95019
      27012
      30389
      54704
      64630
      23776
      22693
      98794
      112781
      74495
      89714
      33009
      40062
      41486
      49652
      24299
      23067
      89608
      102037
      65133
      78441
      26967
      34662
      38166
      43779
      24475
      23596
      93947
      100352
      66808
      74712
      28569
      34238
      38239
      40474
      27139
      25640
      95337
      86584
      75298
      67719
      27368
      30102
      47930
      37617
      20039
      18865

      Sheet3

      2006 - Total
      2007 - Total
      2008 - Total
      2006 - Landbased
      2007 - Landbased
      2008 - Landbased
      2006 - Seabased
      2007 - Seabased
      2008 - Seabased
      280605
      214783
      254213
      211279
      156272
      196406
      69326
      58511
      57807
      294783
      264942
      344149
      224683
      201406
      278497
      70100
      63536
      65652
      265788
      319006
      348678
      201998
      246153
      278624
      63790
      72853
      70054
      221391
      278892
      288973
      150110
      207239
      220872
      71281
      71653
      68101

      Chart1_deploy_2007-09

      Total Deployment
      69409
      65359
      80015
      78493
      89500
      96948
      114720
      105492
      98794
      89608
      93947
      95337
      106053
      86181
      61979
      94747
      125919
      123483
      118185
      117712
      112781
      102037
      100352
      86584

      Chart2_deploy_07-09

      07-09data

      07-09data

      New hires
      15592
      24125
      28212
      19947
      25864
      24320
      32275
      27012
      33009
      26967
      28569
      27368
      19202
      28982
      19140
      27651
      35935
      38535
      38075
      30389
      40062
      34662
      34238
      30102

      total deployment

      2006 - Total
      2007 - Total
      2008 - Total
      2006 - Landbased
      2007 - Landbased
      2008 - Landbased
      2006 - Seabased
      2007 - Seabased
      2008 - Seabased
      280605
      214783
      254213
      211279
      156272
      196406
      69326
      58511
      57807
      294783
      264942
      344149
      224683
      201406
      278497
      70100
      63536
      65652
      265788
      319006
      348678
      201998
      246153
      278624
      63790
      72853
      70054
      221391
      278892
      288973
      150110
      207239
      220872
      71281
      71653
      68101

      landbased

      New hires
      67929
      70131
      92296
      82904
      67324
      102121
      108526
      99002

      new and rehire

      Total Deployment
      Landbased
      Seabased
      214783
      156272
      58511
      264941
      201406
      63535
      319006
      246153
      72853
      278892
      207239
      71653
      254213
      196406
      57807
      344149
      278497
      65652
      348678
      278624
      70054
      288973
      220872
      68101
      283348

      by destination

      Total Deployment
      214783
      264941
      319006
      278892
      254213
      344149
      348678
      288973
      283348
      Total Deployment
      Growth Rate
      Period
      Total Deployment
      Growth Rate (Y-O-Y)
      OFW Deployment 2007-2009
      214783
      -234571728943
      264941
      -101233788923
      319006
      200227248785
      278892
      259726005122
      254213
      183580637201
      344149
      298964675154
      348678
      93013924503
      288973
      36146608723
      283348
      11460861561
      Total Deployment
      Landbased
      Seabased
      214783
      156272
      58511
      264941
      201406
      63535
      319006
      246153
      72853
      278892
      207239
      71653
      254213
      196406
      57807
      344149
      278497
      65652
      348678
      278624
      70054
      288973
      220872
      68101
      283348
      Deployed Landbased
      MIDDLE EAST
      ASIA
      EUROPE
      AMERICAS
      AFRICA
      OCEANIA
      Landbased
      New hires
      Rehires
      156272
      67929
      88343
      201406
      70131
      131275
      246153
      92296
      153857
      207239
      82904
      124335
      196406
      67324
      129082
      278497
      102121
      176376
      278624
      108526
      170098
      220872
      99002
      121870
      Brunei
      Hong Kong
      Japan
      Korea
      Malaysia
      Singapore
      Taiwan
      United Kingdom
      United States of America
      3977
      6517
      1991
      2815
      2390
      10589
      8051
      2037
      1865
      4035
      12719
      2500
      3431
      2307
      11536
      9756
      2538
      1031
      3202
      22833
      2085
      3981
      2174
      11344
      9408
      2547
      3363
      3453
      17100
      2291
      4038
      2854
      15962
      9921
      2403
      3142
      1584
      12498
      1428
      2044
      1873
      8131
      7497
      2523
      1661
      1940
      21725
      1749
      2941
      1766
      12285
      12601
      3051
      1304
      1721
      27698
      2070
      4398
      1273
      10823
      11358
      1964
      2918
      1685
      16424
      1308
      2984
      1122
      10439
      7090
      1770
      2167

      image17wmf

      Italy

      71

      Saudi

      Arabia

      250

      USA

      143

      Qatar

      107

      UK

      107

      Others

      321

      image18wmf

      Qatar

      71

      Singapore

      48

      DPRK

      48

      Saudi

      Arabia

      381

      Others

      191

      Unspecified

      71

      USA

      95

      Hong Kong

      SAR

      95

      image19emf

      Industry

      No

      Manufacturing

      22202

      Private households

      with employed person

      15138

      Education

      12110

      Other community

      social and personal

      service activities

      983

      Wholesale amp retail

      trade repair of motor

      vehicles

      873

      Hotels and restaurants

      873

      Transport storage

      and communication

      764

      Public administration

      and defense

      compulsory social

      security

      764

      Financial

      intermediation

      546

      Health and social work

      437

      Construction

      437

      Electricity gas and

      water supply

      328

      Mining and quarrying

      218

      Real estate renting

      and business activities

      218

      Extra-territorial

      organizations and

      bodies

      109

      Total

      1091000

      Microsoft_Office_Excel_97-2003_Worksheet7xls

      Sheet1

      Sheet2

      Sheet3

      image20wmf

      CBMS Core Indicators

      2005

      2009

      Health and Nutrition

      Proportion of children aged 0

      -

      4 years old who died

      00

      00

      Proportion of women who died due to pregnancy related causes

      00

      00

      Proportion of children aged 0

      -

      5 years old who are malnourished

      00

      18

      Shelter

      Proportion of households living in makeshift housing

      03

      31

      Proportion of households that are squatters

      b

      00

      432

      Water and Sanitation

      Proportion of households without access to safe water supply

      37

      06

      Proportion of households without acce

      ss to sanitary toilet facilities

      00

      00

      Education

      Proportion of children aged 6

      -

      12 years old who are not attending

      elementary school

      128

      191

      Proportion of children aged 13

      -

      16 years old who are not attending

      secondary school

      233

      238

      Income

      Proport

      ion of households with income below the poverty threshold

      83

      99

      Proportion of households with income below the food (subsistence)

      threshold

      22

      28

      Proportion of households that experienced food shortage

      06

      15

      Employment

      Proportion of persons who a

      re unemployed

      175

      126

      Peace and Order

      Proportion of persons who were victims of crimes

      00

      04

      for

      image21wmf

      No

      No

      No

      No

      Members who are studying

      used second-hand

      uniformshoes

      212

      508

      120

      12

      246

      272

      578

      165

      Reduced allowance for

      members who are studying

      104

      249

      123

      123

      201

      222

      428

      122

      Members who are studying

      used second-hand books

      147

      353

      115

      115

      159

      176

      421

      120

      Withdrawn children from

      school

      5

      12

      21

      21

      35

      39

      61

      17

      Shifted from private

      vehicleschool bus to

      commuting

      11

      26

      34

      34

      12

      13

      61

      17

      Others

      8

      19

      12

      12

      13

      14

      33

      09

      Transferred children from

      private school to public

      school

      8

      19

      21

      21

      3

      03

      32

      09

      Members who are studying

      skipped classes

      5

      12

      6

      06

      13

      14

      24

      07

      Transferred children from

      daycare to homecare

      0

      0

      5

      05

      2

      02

      7

      02

      Total

      Coping Strategies

      Urban NCR

      Urban Outside NCR

      Rural

      image22wmf

      Income

      Quintile

      Magnitude

      of HHs in the Income

      Quintile who were able to

      access

      1

      482

      689

      2

      375

      536

      3

      258

      369

      4

      165

      236

      5

      87

      124

      Total

      1367

      391

      image23emf

      SITELEAKAGE RATEEXCLUSION RATE

      ALL SITES489356

      Rural388228

      Urban NCR878446

      Urban Area

      Outside NCR

      416479

      Microsoft_Office_Excel_97-2003_Worksheet8xls

      paper

      paper

      7
      4
      3
      3
      2
      9

      powerpoint

      6
      214285714286
      5
      178571428571
      4
      142857142857
      4
      142857142857
      3
      107142857143
      2
      71428571429
      1
      35714285714
      1
      35714285714
      1
      35714285714
      1
      35714285714

      core indicators

      Sheet1

      coping strategies

      8
      E Technicians amp associate professionals
      109
      Total
      20
      F Others
      15
      D Plant amp machine operators and assemblers
      19
      C Laborers amp skilled workers
      21
      B Professionals
      26
      A Service workers and shop amp market sales workers
      No
      Type of Job

      coping strategies

      Source CBMS Survey 2009

      image24png

      image25jpeg

      image26jpeg

      Coping Strategies Urban NCR Urban Outside NCR Rural Total
      No No No No
      Tapped various fund sources
      Used savings 51 6 267 154 137 151 455 130
      Sold assets 24 28 26 15 18 20 68 19
      Pawned assets 74 86 65 37 27 30 166 47
      Borrowed money 443 518 571 329 387 428 1401 400
      Sought additional source of income
      Looked for additional work 21 25 112 64 86 95 219 63
      Did additional work 9 11 93 54 65 72 167 48
      Employed members not previously working 7 08 46 26 12 13 65 19
      Looked for work abroad 11 13 42 24 0 00 53 15
      Coping strategies in terms of health
      Did not buy medicine 32 37 77 44 63 70 172 49
      Discontinued intake of prescribed medicine 24 28 52 3 18 20 94 27
      Shifted to government health centers and hospitals 222 259 306 176 232 256 760 217
      Shifted to alternative medicine 42 49 240 138 163 180 445 127
      Resorted to self medication 255 298 359 207 96 106 710 203
      Reduced prescribed drug intake 43 5 108 62 25 28 176 50
      Lessened the availment of medical treatment for any illness 34 4 127 73 22 24 183 52
      Did not seek medical treatment for any illness 35 41 75 43 43 48 153 44
      Used medicinal plantsherbal medicines 249 291 421 242 325 359 995 284
      Shifted to generic drugscheaper drug brands 482 563 486 28 216 239 1184 338
      Others 6 07 26 15 30 33 62 18
      Coping strategies in terms of education
      Transferred children from private school to public school 8 19 21 21 3 03 32 09
      Withdrawn children from school 5 12 21 21 35 39 61 17
      Transferred children from daycare to homecare 0 0 5 05 2 02 7 02
      Members who are studying skipped classes 5 12 6 06 13 14 24 07
      Reduced allowance for members who are studying 104 249 123 123 201 222 428 122
      Members who are studying used second-hand books 147 353 115 115 159 176 421 120
      Members who are studying used second-hand uniformshoes 212 508 120 12 246 272 578 165
      Shifted from private vehicleschool bus to commuting 11 26 34 34 12 13 61 17
      Others 8 19 12 12 13 14 33 09
      Type of job No
      A Service workers and shop amp market sales workers
      B Professionals
      C Laborers amp skilled workers
      D Plant amp machine operators and assemblers
      E
      A 26
      B 21
      C 19
      D 15
      E 8
      F 20
      Total 109
      URBAN NCR URBAN OUTSIDE NCR RURAL
      Brgy 192 (Pasay City) Gumamela (Labo Camarines Norte) Villa Angeles (Orion Bataan) Pob III (StoTomas Batangas) Magbangon (Cabucgayan Biliran) Masikap (PPC Palawan) Ando (Borongan Eastern Samar) San Miguel (Llorente Eastern Samar) Salvacion (PPC Palawan) San Vicente (Sta Elena Camarines Norte)
      CBMS Core Indicators 2005 2009 2005 2009 2005 2009 2009 2005 2009 2009 2005 2009 2005 2009 2009 2006 2009
      Health and Nutrition
      Proportion of children aged 0-4 years old who died 0 0 04 04 0 09 04 16 0 11 0 24 08 22 13 06 08
      Proportion of women who died due to pregnancy related causes 0 0 0 12 0 0 09 0 0 0 0 0 0 0 0 0 19
      Proportion of children aged 0-5 years old who are malnourished 0 2 4 04 17 0 03 0 07 81 31 0 16 0 45 128 41
      Shelter
      Proportion of households living in makeshift housing 02 19 1 72 14 06 09 1 08 04 97 23 0 138 17 09 0
      Proportion of households that are squatters 01 301 55 02 0 03 07 1 08 0 57 0 2 3 08 0 04
      Water and Sanitation
      Proportion of households without access to safe water supply 24 11 33 21 6 09 09 17 23 04 06 12 6 11 582 209 147
      Proportion of households without access to sanitary toilet facilities 0 0 83 113 04 45 02 189 39 0 06 64 215 205 139 136 191
      Education
      Proportion of children aged 6-12 years old who are not attending elementary school 136 163 167 217 162 246 175 275 232 203 284 233 206 156 20 16 226
      Proportion of children aged 13-16 years old who are not attending secondary school 233 244 309 402 141 384 361 275 294 329 512 394 342 439 456 415 384
      Income
      Proportion of households with income below the poverty threshold 71 67 456 444 187 122 20 422 568 137 497 523 789 751 295 682 738
      Proportion of households with income below the food (subsistence) threshold 18 18 275 273 95 37 92 239 475 44 354 369 693 699 16 550 569
      Proportion of households that experienced food shortage 07 12 08 02 0 03 3 243 0 04 11 104 56 67 16 0 0
      Employment
      Proportion of persons who are unemployed 151 83 132 56 296 132 81 217 108 137 145 15 361 382 3 74 80
      Peace and Order
      Proportion of persons who were victims of crimes 1 05 13 2 08 09 02 0 0 67 0 0 0 05 3 0 06
      No Barangay MunicipalityCity Province
      1 Villa Angeles Orion Bataan
      2 Poblacion 3 StoTomas Batangas
      3 Magbangon Cabucgayan Biliran
      4 Gumamela Labo Camarines Norte
      5 San Vicente Sta Elena Camarines Norte
      6 Ando Borongan Eastern Samar
      7 San Miguel Llorente Eastern Samar
      8 Masikap Puerto Princesa City Palawan
      9 Salvacion Puerto Princesa City Palawan
      10 Brgy 192 Pasay City National Capital Region
      A A
      B B
      C C
      D D
      E E
      F F
      G G
      H H
      I I
      J J
      Saudi Arabia
      USA
      Qatar
      UK
      Italy
      Others
      Table 1 Total no of households and total population per barangay
      Barangay MunicipalityCity Province Households Population
      No No
      Urban NCR 856 245 2941 194
      192 Pasay City NCR-4 856 245 2941 194
      Urban Outside NCR 1738 497 7729 510
      Gumamela Labo Camarines Norte 432 123 2060 136
      Villa Angeles Orion Bataan 354 101 1401 92
      Poblacion III Santo Tomas Batangas 466 133 2086 138
      Magbangon Cabucgayan Biliran 259 74 1230 81
      Masikap Puerto Princesa City Palawan 227 65 952 63
      Rural 905 259 4491 296
      Ando Borongan Eastern Samar 174 50 892 59
      San Miguel Llorente Eastern Samar 269 77 1372 90
      Salvacion Puerto Princesa City Palawan 237 68 1084 71
      San Vicente Santa Elena Camarines Norte 225 64 1143 75
      Total 3499 1000 15161 1000
      Table 2 Distribution of retrenched OFWs by country
      Country No of Retrenched OFWs
      Saudi Arabia 7
      USA 4
      Qatar 3
      UK 3
      Italy 2
      Others 9
      Total 28
      Male 20
      Female 8
      Source CBMS Survey 2009
      Table 2 Retrenched OFWs by sector
      Industry Total Industry Total
      No No
      A Private households with employed person 6 214 A 6 214
      B Health and social work 5 179 B 5 179
      C Manufacturing 4 143 C 4 143
      D Financial intermediation 4 143 D 4 143
      E Transport storage and communication 3 107 E 3 107
      F Real estate renting and business activity 2 71 F 2 71
      G Hotel and restaurants 1 36 G 1 36
      H Wholesale amp retail trade repair of motor vehicles motorcycles and personal household goods 1 36 H 1 36
      I Other community social and personal service activities 1 36 I 1 36
      J Construction 1 36 J 1 36
      Total 28 100 Total 28 100
      Male 20 714 Male 20 714
      Female 8 286 Female 8 286
      Source CBMS Survey 2009 Source CBMS Survey 2009
      Table 4 OFW who experienced wage reduction by country
      Country Total Male Female
      No No No
      Saudi Arabia 16 372 15 938 1 63
      USA 4 93 4 1000 0 00
      Hong Kong SAR 4 93 1 250 3 750
      Qatar 3 70 2 667 1 333
      Singapore 2 47 2 1000 0 00
      DPRK 2 47 2 1000 0 00
      Others 9 209 4 444 5 556
      Unspecified 3 70 3 1000 0 00
      Total 43 100 33 767 10 233
      Source CBMS Survey 2009
      Table 5 OFW who experienced wage reduction by occupation
      Type of Job Total Male Female
      No No No
      All Occupations 43 1000 33 767 10 233
      Service workers and shop and market sales worker 13 302 9 692 4 308
      Trades and related workers 6 140 5 833 1 167
      Technicians and associate professionals 6 140 5 833 1 167
      Laborers and skilled workers 6 140 4 667 2 333
      Plant and machine operators and assemblers 5 116 4 80 1 20
      Professionals 3 70 2 667 1 333
      Officials of government and special interest organization corporate executives managers managing proprietors and supervisors 2 47 2 100 0 0
      Farmers forestry workers andfisherfolk 1 23 1 100 0 0
      Special occupations 1 23 1 100 0 0
      Source CBMS Survey 2009
      Table 6 Households affected by the crisis through remittances
      Indicator Rural Urban NCR Urban Outside NCR Total
      No No No No
      Households 905 856 1738 3499
      HH with OFW 79 87 71 83 300 173 450 129
      HH who received remittances during the past 6 months 65 823 54 761 234 780 353 784
      HH who experienced a decline in the amount of remittances received 7 89 13 183 20 67 40 89
      HH who experienced a decline in the frequency of receipt of remittances 4 51 9 127 19 63 32 71
      Source CBMS Survey 2009
      Table 7 Labor force statistics
      Statistics Total No Proportion Male Female
      No No
      Population 15 years and over 10394 5123 493 5271 507
      Labor force 5701 548 3508 615 2193 385
      Employed 5046 885 3155 625 1891 375
      Unemployed 655 115 353 539 302 461
      Source CBMS Survey 2009
      Table 8 Outcome Indicators Entrepreneurial Activities 2009
      Indicator Magnitude Proportion
      HHs engaged in new entrepreneurial activity 75 21
      HHs engaged in an entrepreneurial activity 1817 519
      HHs which closed a business 19 10
      HHs with significant change in the monthly income from the business 158 87
      Increase 33 209
      Decrease 125 791
      HHs with significant change in the no of employed persons in the business 6 03
      Increase 3 50
      Decrease 3 50
      Source CBMS Survey 2009
      Table 9 Outcome Indicators Wage Earners and Salaried Workers
      Indicator No
      HH with member who lost job 92 26
      Members who lost job 109 22
      HH with member who experienced wage reduction 74 21
      HH with member who experienced a reduction in number of working hours 65 19
      HH with member who experienced reduction in employment benefits 8 02
      Source CBMS Survey
      Table 10 Members who lost job by occupation
      Type of job No
      Service workers and shop and market sales workers 26 239
      Professionals 21 193
      Laborers and skilled workers 19 174
      Plant and machine operators and assemblers 15 138
      Technicians and associate professionals 8 73
      Others 20 183
      Total 109 1000
      Source CBMS Survey
      Table 11 Members who lost job by industry
      Industry No
      Manufacturing 22 202
      Private households with employed person 15 138
      Education 12 110
      Other community social and personal service activities 9 83
      Wholesale amp retail trade repair of motor vehicles 8 73
      Hotels and restaurants 8 73
      Transport storage and communication 7 64
      Public administration and defense compulsory social security 7 64
      Financial intermediation 5 46
      Health and social work 4 37
      Construction 4 37
      Electricity gas and water supply 3 28
      Mining and quarrying 2 18
      Real estate renting and business activities 2 18
      Extra-territorial organizations and bodies 1 09
      Total 109 1000
      Source CBMS Survey
      Table 12 Members who experienced reduction in wage working hours or employment benefits
      No of Employed Persons With Wage Reduction With Reduced Working Hours With Reduced Benefits
      No No No
      Male 3155 47 15 37 12 5 016
      Female 1891 36 19 36 19 3 016
      Total 5046 83 16 73 14 8 016
      Source CBMS Survey 2009
      Table 13 Households involved in the agriculture sector by site
      Site No of HHs
      Salvacion 208 878
      Ando 125 718
      San Miguel 187 695
      San Vicente 152 676
      Magbangon 139 537
      Gumamela 78 181
      Villa Angeles 19 54
      Masikap 10 44
      Poblacion III 7 15
      Brgy 192 2 02
      Total 927
      Source CBMS Survey 2009
      Table 14 Distribution of households by type of involvement in the agriculture sector
      Type of HHs Agri HHs Non-Agri HHs
      No of HHs 927 2572
      Average income (Php) 227928 744465
      HHs with a decrease in income from agricultural business 27 na
      Note Agri HHs refer to those which are involved in the agriculture sector while Non-Agri HHs refer to those which are NOT involved in the agricultural sector
      Source CBMS Survey 2009
      Table 18 Coping strategies adopted by households
      Coping strategy No
      1) Modified the ff Type of Expenses
      Food 3008 860
      Clothing 2871 821
      Electricity 2668 763
      Fuel 2290 654
      Communication 2138 611
      Health 1996 570
      Water 1785 510
      Recreation 1400 400
      Transportation 1188 340
      Education 875 250
      Coping strategy No
      2) Tapped various fund sources
      Borrowed money 1401 400
      Used savings 455 130
      Pawned assets 166 47
      Sold assets 68 19
      3) Sought additional source of income
      Looked for additional work 219 63
      Did additional work 167 48
      Employed members not previously working 65 19
      Looked for work abroad 53 15
      Source CBMS Survey
      Table 19 Households who were able to access the NFA rice program (10 GFC sites)
      Income Quintile Magnitude of HHs in the Income Quintile who were able to access
      1 482 689
      2 375 536
      3 258 369
      4 165 236
      5 87 124
      Total 1367 391
      Source CBMS Survey
      Table 20 NFA Rice Program Leakage and Exclusion Rates (10 GFC sites)
      SITE LEAKAGE RATE EXCLUSION RATE
      ALL SITES 489 356
      Rural 388 228
      Urban NCR 878 446
      Urban Area Outside NCR 416 479
      Source CBMS Survey
      Industry No
      Manufacturing 22 202
      Private households with employed person 15 138
      Education 12 110
      Other community social and personal service activities 9 83
      Wholesale amp retail trade repair of motor vehicles 8 73
      Hotels and restaurants 8 73
      Transport storage and communication 7 64
      Public administration and defense compulsory social security 7 64
      Financial intermediation 5 46
      Health and social work 4 37
      Construction 4 37
      Electricity gas and water supply 3 28
      Mining and quarrying 2 18
      Real estate renting and business activities 2 18
      Extra-territorial organizations and bodies 1 09
      Total 109 1000
      Industry Total
      No
      A Private households with employed person 6 214
      B Health and social work 5 179
      C Manufacturing 4 143
      D Financial intermediation 4 143
      E Transport storage and communication 3 107
      F Real estate renting and business activity 2 71
      G Hotel and restaurants 1 36
      H Wholesale amp retail trade repair of motor vehicles motorcycles and personal household goods 1 36
      I Other community social and personal service activities 1 36
      J Construction 1 36
      Total 28 100
      Male 20 714
      Female 8 286
      2007Q1 2007Q1 2007Q1 2007Q1 2007Q1 2007Q1 2007Q1 2007Q1 2007Q1
      2007Q2 2007Q2 2007Q2 2007Q2 2007Q2 2007Q2 2007Q2 2007Q2 2007Q2
      2007Q3 2007Q3 2007Q3 2007Q3 2007Q3 2007Q3 2007Q3 2007Q3 2007Q3
      2007Q4 2007Q4 2007Q4 2007Q4 2007Q4 2007Q4 2007Q4 2007Q4 2007Q4
      2008Q1 2008Q1 2008Q1 2008Q1 2008Q1 2008Q1 2008Q1 2008Q1 2008Q1
      2008Q2 2008Q2 2008Q2 2008Q2 2008Q2 2008Q2 2008Q2 2008Q2 2008Q2
      2008Q3 2008Q3 2008Q3 2008Q3 2008Q3 2008Q3 2008Q3 2008Q3 2008Q3
      2008Q4 2008Q4 2008Q4 2008Q4 2008Q4 2008Q4 2008Q4 2008Q4 2008Q4
      Countries that lessen the deployment of OFWs Countries that lessen the deployment of OFWs
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4 2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      MIDDLE EAST 96113 125901 148592 117272 127768 181306 175605 147149 Brunei 3977 4035 3202 3453 1584 1940 1721 1685
      Bahrain 1824 2573 3277 2224 2557 3778 3606 3138 Hong Kong 6517 12719 22833 17100 12498 21725 27698 16424
      Kuwait 9338 9678 9175 8889 7493 11926 11123 8361 Japan 1991 2500 2085 2291 1428 1749 2070 1308
      Lebanon 36 377 52 3 1 6 4 1 Korea 2815 3431 3981 4038 2044 2941 4398 2984
      Libya 1020 1581 1932 1408 1372 2347 1964 2048 Malaysia 2390 2307 2174 2854 1873 1766 1273 1122
      Oman 1529 1758 2185 1991 2087 2746 3202 2187 Singapore 10589 11536 11344 15962 8131 12285 10823 10439
      Qatar 9784 14382 16739 15372 16200 24094 23025 21023 Taiwan 8051 9756 9408 9921 7497 12601 11358 7090
      Saudia Arabia 50732 63676 72099 51912 60038 79163 75225 61507 United Kingdom 2037 2538 2547 2403 2523 3051 1964 1770
      United Arab Emirates 19206 28441 40174 32836 36450 54497 55335 47528 United States of America 1865 1031 3363 3142 1661 1304 2918 2167
      Rest of Middle East 2644 3435 2959 2637 1570 2749 2121 1356
      ASIA 41443 51800 62716 63024 41654 63623 67274 47047
      Brunei 3977 4035 3202 3453 1584 1940 1721 1685
      Hong Kong 6517 12719 22833 17100 12498 21725 27698 16424
      Japan 1991 2500 2085 2291 1428 1749 2070 1308
      Korea 2815 3431 3981 4038 2044 2941 4398 2984
      Malaysia 2390 2307 2174 2854 1873 1766 1273 1122
      Singapore 10589 11536 11344 15962 8131 12285 10823 10439
      Taiwan 8051 9756 9408 9921 7497 12601 11358 7090
      Rest of Asia 5113 5516 7689 7405 6599 8616 7933 5995
      EUROPE 7265 10860 17008 10480 12202 15131 15479 8983
      Cyprus 530 778 861 643 423 674 624 664
      Ireland 1014 1395 1313 1018 1353 1550 1173 840
      Italy 1908 3662 8929 3356 4665 6004 8554 3400
      United Kingdom 2037 2538 2547 2403 2523 3051 1964 1770
      Rest of Europe 1776 2487 3358 3060 3238 3852 3164 2309
      AMERICAS 5318 5385 8534 8782 5882 8494 9148 8392
      Canada 2169 2867 3377 3967 3121 5350 4442 4486
      Cayman Island 148 269 276 310 184 354 246 345
      Diego Garcia 226 151 380 190 8 97 275 198
      United States of America 1865 1031 3363 3142 1661 1304 2918 2167
      Rest of America 910 1067 1138 1173 908 1389 1267 1196
      AFRICA 2472 3329 4190 3135 2814 4129 4942 4549
      Angola 506 718 924 787 699 1038 1272 1280
      Equatorial Gunie 432 506 451 391 337 379 487 451
      Nigeria 386 481 668 66 2 5 4 1
      Sudan 137 256 375 293 230 289 519 316
      Rest of Africa 1011 1368 1772 1598 1546 2418 2660 2501
      2007Q1 2007Q1 2007Q1
      2007Q2 2007Q2 2007Q2
      2007Q3 2007Q3 2007Q3
      2007Q4 2007Q4 2007Q4
      2008Q1 2008Q1 2008Q1
      2008Q2 2008Q2 2008Q2
      2008Q3 2008Q3 2008Q3
      2008Q4 2008Q4 2008Q4
      Deployed Landbased Filipino Workers
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      Landbased 156272 201406 246153 207239 196406 278497 278624 220872
      New hires 67929 70131 92296 82904 67324 102121 108526 99002
      Rehires 88343 131275 153857 124335 129082 176376 170098 121870
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      Deployed Landbased Filipino Workers by Destination
      New hires and Rehires- Consolidated
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      Deployed Landbased 156272 201406 246153 207239 196406 278497 278624 220872
      MIDDLE EAST 96113 125901 148592 117272 127768 181306 175605 147149
      ASIA 41443 51800 62716 63024 41654 63623 67274 47047
      EUROPE 7265 10860 17008 10480 12202 15131 15479 8983
      AMERICAS 5318 5385 8534 8782 5882 8494 9148 8392
      AFRICA 2472 3329 4190 3135 2814 4129 4942 4549
      OCEANIA 2186 2220 3396 2889 4298 3750 4207 2775
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      MIDDLE EAST 96113 125901 148592 117272 127768 181306 175605 147149
      Bahrain 1824 2573 3277 2224 2557 3778 3606 3138
      Kuwait 9338 9678 9175 8889 7493 11926 11123 8361
      Lebanon 36 377 52 3 1 6 4 1
      Libya 1020 1581 1932 1408 1372 2347 1964 2048
      Oman 1529 1758 2185 1991 2087 2746 3202 2187
      Qatar 9784 14382 16739 15372 16200 24094 23025 21023
      Saudia Arabia 50732 63676 72099 51912 60038 79163 75225 61507
      United Arab Emirates 19206 28441 40174 32836 36450 54497 55335 47528
      Rest of Middle East 2644 3435 2959 2637 1570 2749 2121 1356
      ASIA 41443 51800 62716 63024 41654 63623 67274 47047
      Brunei 3977 4035 3202 3453 1584 1940 1721 1685
      Hong Kong 6517 12719 22833 17100 12498 21725 27698 16424
      Japan 1991 2500 2085 2291 1428 1749 2070 1308
      Korea 2815 3431 3981 4038 2044 2941 4398 2984
      Malaysia 2390 2307 2174 2854 1873 1766 1273 1122
      Singapore 10589 11536 11344 15962 8131 12285 10823 10439
      Taiwan 8051 9756 9408 9921 7497 12601 11358 7090
      Rest of Asia 5113 5516 7689 7405 6599 8616 7933 5995
      EUROPE 7265 10860 17008 10480 12202 15131 15479 8983
      Cyprus 530 778 861 643 423 674 624 664
      Ireland 1014 1395 1313 1018 1353 1550 1173 840
      Italy 1908 3662 8929 3356 4665 6004 8554 3400
      United Kingdom 2037 2538 2547 2403 2523 3051 1964 1770
      Rest of Europe 1776 2487 3358 3060 3238 3852 3164 2309
      AMERICAS 5318 5385 8534 8782 5882 8494 9148 8392
      Canada 2169 2867 3377 3967 3121 5350 4442 4486
      Cayman Island 148 269 276 310 184 354 246 345
      Diego Garcia 226 151 380 190 8 97 275 198
      United States of America 1865 1031 3363 3142 1661 1304 2918 2167
      Rest of America 910 1067 1138 1173 908 1389 1267 1196
      AFRICA 2472 3329 4190 3135 2814 4129 4942 4549
      Angola 506 718 924 787 699 1038 1272 1280
      Equatorial Gunie 432 506 451 391 337 379 487 451
      Nigeria 386 481 668 66 2 5 4 1
      Sudan 137 256 375 293 230 289 519 316
      Rest of Africa 1011 1368 1772 1598 1546 2418 2660 2501
      2007Q1 2007Q1 2007Q1
      2007Q2 2007Q2 2007Q2
      2007Q3 2007Q3 2007Q3
      2007Q4 2007Q4 2007Q4
      2008Q1 2008Q1 2008Q1
      2008Q2 2008Q2 2008Q2
      2008Q3 2008Q3 2008Q3
      2008Q4 2008Q4 2008Q4
      2009Q1 2009Q1 2009Q1
      Deployed Filipino Workers by Destination
      New hires and Rehires- Consolidated
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4 2009Q1
      Total Deployment 214783 264941 319006 278892 254213 344149 348678 288973 283348
      Landbased 156272 201406 246153 207239 196406 278497 278624 220872
      Seabased 58511 63535 72853 71653 57807 65652 70054 68101
      2007 2008 2009
      Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1
      Total Deployment 280605 294783 265788 221391 214783 264941 319006 278892 254213 344149 348678 288973 283348
      Growth Rate -235 -101 200 260 184 299 93 36 115
      1077622 1236013
      146981965847
      269406 309003
      Q12007 Q12007
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12008 Q12008
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12009 Q12009
      Q12007
      Q2
      Q3
      Q4
      Q12008
      Q2
      Q3
      Q4
      Q12009
      2007Q1 2007Q1 2007Q1
      2007Q2 2007Q2 2007Q2
      2007Q3 2007Q3 2007Q3
      2007Q4 2007Q4 2007Q4
      2008Q1 2008Q1 2008Q1
      2008Q2 2008Q2 2008Q2
      2008Q3 2008Q3 2008Q3
      2008Q4 2008Q4 2008Q4
      2009Q1 2009Q1 2009Q1
      2007Q1
      2007Q2
      2007Q3
      2007Q4
      2008Q1
      2008Q2
      2008Q3
      2008Q4
      Q1 Q1 Q1 Q1 Q1 Q1 Q1 Q1 Q1
      Q2 Q2 Q2 Q2 Q2 Q2 Q2 Q2 Q2
      Q3 Q3 Q3 Q3 Q3 Q3 Q3 Q3 Q3
      Q4 Q4 Q4 Q4 Q4 Q4 Q4 Q4 Q4
      Jan07
      Feb07
      Mar07
      Apr07
      May07
      Jun07
      Jul07
      Aug07
      Sep07
      Oct07
      Nov07
      Dec07
      Jan08
      Feb08
      Mar08
      Apr08
      May08
      Jun08
      Jul08
      Aug08
      Sep08
      Oct08
      Nov08
      Dec08
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07 2007 Q1 Q2 Q3 Q4
      Total 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337 Total 214783 264941 319006 278892
      Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298 Landbased 156272 201406 246153 207239
      New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368 New hires 67929 70131 92296 82904
      Rehires 36300 22186 29857 37138 41054 53083 57667 54704 41486 38166 38239 47930 Rehires 88343 131275 153857 124335
      Seabased 17517 19048 21946 21408 22582 19545 24778 23776 24299 24475 27139 20039 Seabased 58511 63535 72853 71653
      2008 Jan08 Feb08 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08 2008
      Total 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584 Total 254213 344149 348678 288973
      Landbased 87841 64644 43921 74446 103434 100617 93891 95019 89714 78441 74712 67719 Landbased 196406 278497 278624 220872
      New hires 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102 New hires 67324 102121 108526 99002
      Rehires 68639 35662 24781 46795 67499 62082 55816 64630 49652 43779 40474 37617 Rehires 129082 176376 170098 121870
      Seabased 18212 21537 18058 20301 22485 22866 24294 22693 23067 23596 25640 18865 Seabased 57807 65652 70054 68101
      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
      2007 - Total 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337
      2008 - Total 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584
      2007 - Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298 2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      2008 - Landbased 87841 64644 43921 74446 103434 100617 93891 95019 89714 78441 74712 67719 New hires 67929 70131 92296 82904 67324 102121 108526 99002
      2007 - New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368
      2008 - New hires 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102 2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4 2009Q1
      2007 - Rehires 36300 22186 29857 37138 41054 53083 57667 54704 41486 38166 38239 47930 Total Deployment 214783 264941 319006 278892 254213 344149 348678 288973 283348
      2008 - Rehires 68639 35662 24781 46795 67499 62082 55816 64630 49652 43779 40474 37617 Landbased 156272 201406 246153 207239 196406 278497 278624 220872
      2007 - Seabased 17517 19048 21946 21408 22582 19545 24778 23776 24299 24475 27139 20039 Seabased 58511 63535 72853 71653 57807 65652 70054 68101
      2008 - Seabased 18212 21537 18058 20301 22485 22866 24294 22693 23067 23596 25640 18865
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07
      New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07
      Total Deployment 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337
      Q1 Q2 Q3 Q4
      2006 - Total 280605 294783 265788 221391
      2007 - Total 214783 264942 319006 278892
      2008 - Total 254213 344149 348678 288973
      2009 - Total
      2006 - Landbased 211279 224683 201998 150110
      2007 - Landbased 156272 201406 246153 207239
      2008 - Landbased 196406 278497 278624 220872
      2006 - Seabased 69326 70100 63790 71281
      2007 - Seabased 58511 63536 72853 71653
      2008 - Seabased 57807 65652 70054 68101
      Deployed Landbased Filipino Workers by Destination Year 2006 2007 2008 2009
      New hires and Rehires- Consolidated 2007 1st Qtr 2nd Qtr 3rd Qtr 4th Qtr 1st Qtr 2nd Qtr 3rd Qtr 4th Qtr 1st Qtr 2nd Qtr 3rd Qtr 4th Qtr 1st Qtr
      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TOTAL 280605 294783 265788 221391 214783 264942 319006 278892 254213 344149 348678 288973 283348
      MIDDLE EAST 31420 29408 35285 33456 40808 51637 56602 45915 46075 37507 37857 41908 LAND-BASED 211279 224683 201998 150110 156272 201406 246153 207239 196406 278497 278624 220872
      ASIA 13054 12118 16271 16701 18537 16562 21201 23758 17757 18889 20002 24133 Africa 2842 2543 2282 1783 2472 3329 4190 3135 2814 4129 4942 4549
      EUROPE 2871 1863 2531 3074 3335 4451 5748 6002 5258 3153 3590 3737 Americas 5369 5643 6057 4907 5318 5385 8534 8782 5882 8494 9148 8392
      AMERICAS 2151 1337 1830 1653 1872 1860 2991 2938 2605 3015 3073 2694 Asia 68312 64538 54604 35486 41443 51800 62716 63024 41654 63623 67274 47047
      AFRICA 1030 667 775 804 1099 1426 1479 1324 1387 1156 1010 969 Europe 13594 17123 15817 12779 7265 10860 17008 10480 12202 15131 15479 8983
      TRUST TERRITORIES 534 354 574 628 599 662 623 535 554 599 409 603 Middle_East 118078 131376 119985 93106 96113 125901 148592 117272 127768 181306 175605 147149
      OCEANIA 828 556 802 753 664 803 1294 1244 858 790 863 1236 Oceania 1334 1302 1466 1024 2186 2220 3396 2889 4298 3750 4207 2775
      UNSPECIFIED 1 0 0 0 0 0 1 0 0 0 4 1 Trust_Territories 1690 2115 1735 941 1462 1889 1712 1611 1350 1568 1439 1104
      Workers with Special Exit Clearance 3 8 1 16 4 2 3 0 1 24 0 17 Not Reported 5 2 1 1 1 5 424 482 530 829
      Deployed Landbased Total - NHs and RHs 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298 Others 55 41 51 84 12 22 4 41 14 14 44
      Deployed Seabased Total 17517 19048 21946 21409 22582 19545 24778 23776 24299 24475 27139 20039 SEA-BASED 69326 70100 63790 71281 58511 63536 72853 71653 57807 65652 70054 68101
      G R A N D T O T A L 69409 65359 80015 78494 89500 96948 114720 105492 98794 89608 93947 95337
      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
      Total Deployment 69409 65359 80015 78494 89500 96948 114720 105492 98794 89608 93947 95337
      Deployed Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298
      MIDDLE EAST 31420 29408 35285 33456 40808 51637 56602 45915 46075 37507 37857 41908
      ASIA 13054 12118 16271 16701 18537 16562 21201 23758 17757 18889 20002 24133
      EUROPE 2871 1863 2531 3074 3335 4451 5748 6002 5258 3153 3590 3737
      AMERICAS 2151 1337 1830 1653 1872 1860 2991 2938 2605 3015 3073 2694
      AFRICA 1030 667 775 804 1099 1426 1479 1324 1387 1156 1010 969
      Jan07
      Feb07
      Mar07
      Apr07
      May07
      Jun07
      Jul07
      Aug07
      Sep07
      Oct07
      Nov07
      Dec07
      Jan08
      Feb08
      Mar08
      Apr08
      May08
      Jun08
      Jul08
      Aug08
      Sep08
      Oct08
      Nov08
      Dec08
      Q1 Q1 Q1 Q1 Q1 Q1 Q1 Q1 Q1
      Q2 Q2 Q2 Q2 Q2 Q2 Q2 Q2 Q2
      Q3 Q3 Q3 Q3 Q3 Q3 Q3 Q3 Q3
      Q4 Q4 Q4 Q4 Q4 Q4 Q4 Q4 Q4
      Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
      Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
      Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
      Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
      May May May May May May May May May May
      Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
      Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
      Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug
      Sep Sep Sep Sep Sep Sep Sep Sep Sep Sep
      Oct Oct Oct Oct Oct Oct Oct Oct Oct Oct
      Nov Nov Nov Nov Nov Nov Nov Nov Nov Nov
      Dec Dec Dec Dec Dec Dec Dec Dec Dec Dec
      Jan07
      Feb07
      Mar07
      Apr07
      May07
      Jun07
      Jul07
      Aug07
      Sep07
      Oct07
      Nov07
      Dec07
      Jan08
      Feb08
      Mar08
      Apr08
      May08
      Jun08
      Jul08
      Aug08
      Sep08
      Oct08
      Nov08
      Dec08
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07
      Total 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337
      Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298
      New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368
      Rehires 36300 22186 29857 37138 41054 53083 57667 54704 41486 38166 38239 47930
      Seabased 17517 19048 21946 21408 22582 19545 24778 23776 24299 24475 27139 20039
      2008 Jan08 Feb08 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08
      Total 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584
      Landbased 87841 64644 43921 74446 103434 100617 93891 95019 89714 78441 74712 67719
      New hires 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102
      Rehires 68639 35662 24781 46795 67499 62082 55816 64630 49652 43779 40474 37617
      Seabased 18212 21537 18058 20301 22485 22866 24294 22693 23067 23596 25640 18865
      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
      2007 - Total 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337
      2008 - Total 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584
      2007 - Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298
      2008 - Landbased 87841 64644 43921 74446 103434 100617 93891 95019 89714 78441 74712 67719
      2007 - New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368
      2008 - New hires 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102
      2007 - Rehires 36300 22186 29857 37138 41054 53083 57667 54704 41486 38166 38239 47930
      2008 - Rehires 68639 35662 24781 46795 67499 62082 55816 64630 49652 43779 40474 37617
      2007 - Seabased 17517 19048 21946 21408 22582 19545 24778 23776 24299 24475 27139 20039
      2008 - Seabased 18212 21537 18058 20301 22485 22866 24294 22693 23067 23596 25640 18865
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07 Jan08 Feb08 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08
      New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07 Jan08 Feb08 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08
      Total Deployment 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584
      Q1 Q2 Q3 Q4
      2006 - Total 280605 294783 265788 221391
      2007 - Total 214783 264942 319006 278892
      2008 - Total 254213 344149 348678 288973
      2009 - Total
      2006 - Landbased 211279 224683 201998 150110
      2007 - Landbased 156272 201406 246153 207239
      2008 - Landbased 196406 278497 278624 220872
      2006 - Seabased 69326 70100 63790 71281
      2007 - Seabased 58511 63536 72853 71653
      2008 - Seabased 57807 65652 70054 68101
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      Unemployment Rate
      2004 Q1 110
      Q2 137
      Q3 117
      Q4 109
      2005 Q1 113
      Q2 83
      Q3 77
      Q4 74
      2006 Q1 81
      Q2 82
      Q3 80
      Q4 73
      2007 Q1 78
      Q2 74
      Q3 78
      Q4 63
      2008 Q1 74
      Q2 80
      Q3 74
      Q4 68
      2009 Q1 77
      Q2 75
      Q3 76
      Q4
      Unemployment Rate
      Q12004 11
      Q22004
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      FOB Value Growth rate year-on-year
      2007 Jan 39869 218
      Feb 37173 78
      Mar 44775 73
      Apr 41173 51
      May 41216 61
      Jun 41167 15
      Jul 41880 43
      Aug 41041 (40)
      Sep 43725 46
      Oct 46484 105
      Nov 39475 (21)
      Dec 44724 214
      2008 Jan 42306 60
      Feb 41120 105
      Mar 41931 (66)
      Apr 43247 49
      May 42241 23
      Jun 45134 88
      Jul 44372 44
      Aug 43930 66
      Sep 44387 11
      Oct 39710 (148)
      Nov 35130 (114)
      Dec 26746 (403)
      2009 Jan 251119 (406)
      Feb 250629 (391)
      Mar 290673 (308)
      Apr 280311 (352)
      May 308786 (269)
      Jun 340630 (248)
      Jul 331077 (254)
      Aug 347289 (210)
      Sep 363398 (183)
      2007 2008 2009
      Month FOB Value Growth Rates FOB Value Growth Rates FOB Value Growth Rates
      Jan 39869 218 42306 60 251119 (406)
      Feb 37173 78 41120 105 250629 (391)
      Mar 44775 73 41931 (66) 290673 (308)
      Apr 41173 51 43247 49 280311 (352)
      May 41216 61 42241 23 308786 (269)
      Jun 41167 15 45134 88 340630 (248)
      Jul 41880 43 44372 44 331077 (254)
      Aug 41041 (40) 43930 66 347289 (210)
      Sep 43725 46 44387 11 363398 (183)
      Oct 46484 105 39710 (148)
      Nov 39475 (21) 35130 (114)
      Dec 44724 214 26746 (403)
      2007 2008 2009
      Month Levels Growth Rates Levels Growth Rates Levels Growth Rates
      Jan 10994 199 12640 150 12655 01
      Feb 10855 254 12586 159 13200 49
      Mar 13048 264 14278 94 14715 31
      Apr 11915 326 14102 184 14417 22
      May 12371 84 14298 156 14822 37
      Jun 11158 10 14508 300 14987 33
      Jul 10966 46 13668 246 14940 93
      Aug 12069 106 13320 104 13691 28
      Sep 11398 124 13329 169
      Oct 13885 171 14347 33
      Nov 11870 38 13113 105
      Dec 13970 59 14077 08
      Jan2007 Jan2007
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2008 Jan2008
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2009 Jan2009
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Jan Jan
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan Jan
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan Jan
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      1 1 1 1 1 1
      Amount Growth rate year-on-year
      2007 Jan 10994 199
      Feb 10855 254
      Mar 13048 264
      Apr 11915 326
      May 12371 84
      Jun 11158 10
      Jul 10966 46
      Aug 12069 106
      Sep 11398 124
      Oct 13885 171
      Nov 11870 38
      Dec 13970 59
      2008 Jan 12640 150
      Feb 12586 159
      Mar 14278 94
      Apr 14102 184
      May 14298 156
      Jun 14508 300
      Jul 13668 246
      Aug 13320 104
      Sep 13329 169
      Oct 14347 33
      Nov 13113 105
      Dec 14077 08
      2009 Jan 12655 01
      Feb 13200 49
      Mar 14715 31
      Apr 14417 22
      May 14822 37
      Jun 14987 33
      Jul 14940 93
      Aug 13691 28
      Sep 14470 86
      Jan2007 Jan2007
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2008 Jan2008
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2009 Jan2009
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Site No of HHs PhilHealth-sponsored programf Pantawid Pamilya Pilipino Program (4Ps) NFA rice access program Comprehensive Livelihood amp Emergency Employment Program (CLEEP) Self-Employment Assistance-Kaunlaran (SEA-K) Emergency loan for SSS members who were retrenched since Jan 2009 Pag-ibig Special Short-term Loan (STL) Program for displaced workers 6-month pay package for laid-off electronic workers Botika ng Barangay Program Day care center services Barangay health services
      Rural
      Ando 174 57 06 81 06 0 06 11 0 86 178 425
      Salvacion 237 3 0 89 0 46 0 04 0 447 165 878
      San Miguel 269 156 0 602 04 0 0 0 0 26 63 327
      Urban Outside NCR
      Gumamela 432 137 12 521 0 0 0 0 0 25 56 162
      Magbangon 259 459 0 371 0 0 0 04 0 69 35 58
      Masikap 227 35 0 62 0 0 31 13 0 22 0 128
      Poblacion III 466 30 02 163 04 0 0 0 04 185 82 15
      Villa Angeles 354 627 0 107 0 03 34 45 0 06 25 51
      Urban NCR
      192 856 - 0 298 01 0 09 07 0 65 53 118
      TOTAL
      No 3274 607 7 1218 5 12 28 29 2 403 212 673
      1000 185 02 372 02 04 09 09 0 123 65 206
      Total Male Female
      Region Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Asia 15 555 12 80 3 20
      Europe 6 222 4 667 2 333
      North America 5 185 3 60 2 40
      Australia 1 37 0 0 1 100
      Total 27 100 19 704 7 296
      Region No of OFWs
      Asia 15
      Europe 6
      North America 5
      Australia 1
      Total 27
      All Sectors Manufacturing
      2007 Q1 156 -046
      Q2 357 03
      Q3 331 -008
      Q4 287 081
      2008 Q1 476 386
      Q2 199 0
      Q3 205 -037
      Q4 069 01
      2009 Q1 027 -138
      Q2 221 224
      Q12007 Q12007
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12008 Q12008
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12009 Q12009
      Q2 Q2
      withdrawsy_fn withdrawsy_fn sex
      ELMER JR 1 DENESSA 2
      REYNAN 1 ELMER JR 1
      ROBERT 1 ARMIE 2
      CARYLLE KAYE 2 GILBERT 1
      ALVIN 1 DANTE 1
      KIETH CYRILL 1 RONALD 1
      JOVEN 1 JALLY 2
      BENIGNO 1 REYNAN 1
      ALVIN 1 ROBERT 1
      DENMARK E 1 BRENDA 2
      DON CARLO D 1 BEBETH 2
      DENESSA 2 ALVIN 1
      GILBERT 1 MA FE 2
      DANTE 1 YMEL 1
      REGGIE 1 JOVEN 1
      RONALD 1 JOHN MANUEL 1
      JALLY 2 JUN-JUN 1
      KOBE BRYAN 1 JOHN LUIS 1
      MA FE 2 KENNETH 1
      YMEL 1 MA ELINA 2
      BRENDA 2 BERSON 1
      FRANCIS EDD 1 GLENN IRETH 1
      FRANCIS GABRIELLE 1 ALVIN 1
      JOHN MICO 1 DENMARK E 1
      OMAR JOSEPH 1 DON CARLO D 1
      DHANVER 1 DHANVER 1
      BEBETH 2 KOBE BRYAN 1
      ARMIE 2 REGGIE 1
      BERSON 1 KIETH CYRILL 1
      GLENN IRETH 1 CARYLLE KAYE 2
      JOHN MANUEL 1 BENIGNO 1
      MA ELINA 2 JOHN MICO 1
      JUN-JUN 1 OMAR JOSEPH 1
      JOHN LUIS 1 FRANCIS EDD 1
      KENNETH 1 FRANCIS GABRIELLE 1
      No No of Withdrawn Children
      Male 2093 27 13 2066 27
      Female 1916 8 04 1908 8
      Total 4009 35 17
      privtopubsy_fn sex
      RINA 2
      MARIEL 2
      JOHN DANE 1
      JOSHUA 1
      ROLANDO 1
      GERALDWIN 1
      SAVINA 2
      AIKE 1
      HAROLD 1
      DARREL 1
      ARVIN 1
      PAUL JOHN 1
      JAN AIGRETTE 2
      MARIA CLAUDINE 2
      GERRY 1
      DOMINIC ALLEYAH 2
      No of Students No of Children who Shifted from Private to Public School
      Male 2066 10 05
      Female 1908 8 04
      Total 3974 18 09
      Gross Domestic Product Net Factor Income from Abroad and Gross National Product1st Qtr 2003 -2nd Qtr 2009(in million PhP)
      Period At Current Prices At Constant 1985 Prices
      GDP NFIA GNP GDP NFIA GNP
      2003 4316402 315077 4631479 1085072 86359 1171431
      Q1 994224 68550 1062773 253672 19168 272840
      Q2 1032440 80778 1113218 264189 22243 286432
      Q3 1057502 83314 1140816 264671 22665 287337
      Q4 1232236 82435 1314672 302539 22283 324822
      2004 4871555 376509 5248064 1154295 98036 1252331
      Q1 1109078 84329 1193407 271817 22828 294644
      Q2 1170574 97245 1267820 282939 25580 308518
      Q3 1198554 97202 1295756 279581 24853 304443
      Q4 1393348 97733 1491081 319959 24776 344735
      2005 5444038 447145 5891183 1211452 108548 1320000
      Q1 1234383 100221 1336605 284063 25239 309303
      Q2 1316400 112436 1428836 297426 27429 324855
      Q3 1334509 107281 1441790 292665 25680 318345
      Q4 1558746 127206 1685953 337298 30199 367497
      2006 6031164 500940 6532104 1276156 115133 1391289
      Q1 1386083 112729 1489912 299681 26491 326172
      Q2 1454772 129652 1584423 313112 29825 342937
      Q3 1476946 113828 1590774 307750 26008 333757
      Q4 1713364 144731 1858095 355613 32808 388421
      2007 6647338 579974 7227312 1366493 129098 1495589
      Q1 1523149 117930 1641079 320326 26866 347192
      Q2 1617711 160029 1777741 339218 35809 375026
      Q3 1610729 152413 1763142 328795 33671 362466
      Q4 1895749 149601 2045350 378154 32750 410905
      2008 7423213 827036 8250249 1418952 168845 1587797
      Q1 1660335 168092 1828427 332890 36603 369494
      Q2 1833916 201478 2035395 353331 41456 394787
      Q3 1853440 209295 2062735 343784 41280 385063
      Q4 2075522 248170 2323692 388948 49507 438454
      2009
      Q1 1738762 230951 1969713 334866 46035 380901
      Q2 1869888 274822 2144710 358460 53758 412218
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      Sex Lost job Individuals who lost job
      Magnitude Proportion Individuals who Lost Job Members of the Labor Force
      Total 107 100 Male 65 3213 20
      Female 42 2036 21
      Male 65 608 Total 107 5249 41
      Female 42 393
      Statistics Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Population 15 years and over 9657 100 4765 493 4892 507
      Labor force 5249 100 3213 612 2036 388
      Employed persons 4630 100 2880 622 1750 378
      Unemployed persons 619 100 333 538 286 462
      Labor force participation rate 544 674 416
      Employment rate 882 896 86
      Unemployment rate 118 104 14
      Indicator Magnitude
      No of Households 3274
      HH with member who lost job 90 28
      Statistics Total Male Female
      No No
      Population 15 years and over 9657 4765 493 4892 507
      Labor force 5249 3213 612 2036 388
      Employed persons 4630 2880 622 1750 378
      Unemployed persons 619 333 538 286 462
      Indicator Rural Urban NCR Urban Outside NCR Total
      Magnitude Proportion Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH with returning OFW 17 246 26 366 124 413 167 38
      HH with returning OFW who was retrenched or laid off from work 2 118 2 77 23 185 27 162
      HH with OFW who experienced wage reduction 2 29 11 155 28 93 41 94
      HH who received remittances during the past 12 months 63 913 60 845 264 88 387 88
      HH who received remittances during the past 6 months 67 971 71 100 298 993 436 991
      HH who experienced a decline in the amount of remittances received 7 104 13 183 20 67 40 92
      HH who experienced a decline in the frequency of receipt of remittances 4 6 9 127 19 64 32 73
      Indicator Rural Urban NCR Urban Outside NCR Total
      Magnitude Proportion Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH with OFW who experienced wage reduction 2 29 11 155 28 93 41 94
      Area Households HHs with OFW HH with OFW who experienced wage reduction
      Rural No 680 69 2
      101 29
      Urban NCR No 856 71 11
      83 155
      Urban Outside NCR No 1738 300 28
      173 93
      Total No 3274 440 41
      134 94
      Indicator Rural Urban NCR Urban Outside NCR Total
      No No No No
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH who received remittances during the past 6 months 67 971 71 100 298 993 436 991
      HH who experienced a decline in the amount of remittances received 7 104 13 183 20 67 40 92
      HH who experienced a decline in the frequency of receipt of remittances 4 6 9 127 19 64 32 73
      Q12003
      Q2
      Q3
      Q4
      Q12004
      Q2
      Q3
      Q4
      Q12005
      Q2
      Q3
      Q4
      Q12006
      Q2
      Q3
      Q4
      Q12007
      Q2
      Q3
      Q4
      Q12008
      Q2
      Q3
      Q4
      Q12009
      Q2
      Growth Rate Real GDP Real GDP (PM)
      2003 Q1 253672 253672
      Q2 264189 264189
      Q3 264671 264671
      Q4 302539 302539
      2004 Q1 72 271817 271817
      Q2 71 282939 282939
      Q3 56 279581 279581
      Q4 58 319959 319959
      2005 Q1 45 284063 284063
      Q2 51 297426 297426
      Q3 47 292665 292665
      Q4 54 337298 337298
      2006 Q1 55 299681 299681
      Q2 53 313112 313112
      Q3 52 30775 307750
      Q4 54 355613 355613
      2007 Q1 69 320326 320326
      Q2 83 339218 339218
      Q3 68 328795 328795
      Q4 63 378154 378154
      2008 Q1 39 33289 332890
      Q2 42 353331 353331
      Q3 46 343784 343784
      Q4 29 388948 388948
      2009 Q1 06 334866 334866
      Q2 15 35846 358460
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      Outcome variables Magnitude Proportionb
      Overseas Employment and Remittances
      HHs with OFW who returned from abroad due to retrenchmentlay-off 27 61
      HHs with OFW who experienced wage reduction 41 94
      HHs with remittances declined in terms of amount 40 92
      HHs with remittances declined in terms of frequency 32 73
      Local Employment
      HHs with business closedshutdown 17 11
      HHs with income from business declined 110 69
      HHs with employees in business got laid-off 3 02
      HHs with member who lost job 90 28
      HHs with members who experienced wage reduction 74 23
      HHs with members who experienced reduction in working hours 65 2
      HHs with members who experienced reduction in employment benefits 8 03
      Table ___ Households coping strategies on tapping of various fund sources by location 2009
      Coping Strategies Total
      Magnitude Proportion
      Used savings 440 134
      Sold assets 64 2
      Pawned assets 157 48
      Tried to borrow money 1330 406
      Borrowed money 1290 394
      Defaulted on debt 193 59
      Table __ Households coping strategies on employment by location 2009
      Coping Strategies Total
      Magnitude Proportion
      Looked for additional work 183 56
      Did additional work 144 44
      Employed members not previously working 59 18
      Looked for work abroad 53 16
      rb_fn sex
      ARNOLD 1
      ANNIELYN 2
      ELMER 1
      ROLAN 1
      ARIES 1
      NORA 2
      LYDIA 2
      APOLINARIO 1
      No of Employed Persons With Reduced Benefits With Wage Reduction
      No No
      Male 2880 5 017 47 16
      Female 1750 3 017 36 21
      Total 4630 8 017 83 18
      rw_fn sex
      CALIXTO P 1
      GEDION 1
      ERNESTO JR 1
      RUBY ANN 2
      CAROLYN 2
      RAMIL 1
      JESS CHRISTOPHER 1
      EFREN 1
      ALFREDO 1
      ROSALIE 2
      PERCIVAL 1
      JOMER 1
      ARTURO 1
      ORLANDO SR 1
      ROBERTO 1
      DAISY 2
      VICTOR 1
      ARMAN SR 1
      MARIAN 2
      ANNIELYN 2
      ELMER 1
      NAIDA 2
      LEVY II 1
      OFELIA 2
      RODERICK 1
      ANNALYN 2
      ROLAN 1
      EFREN 1
      ROGELIO 1
      LOURDES 2
      JAIME 1
      LANIE 2
      ISABELITA 2
      PRISCILLA 2
      LELAND LLOYD 1
      RANDY 1
      ROLANDO JR 1
      MARILYN 2
      ERIC 1
      ROSEMARIE 2
      MAXIMA 2
      JAMES 1
      RAUL 1
      NICK 1
      NORMITA 2
      LORNA 2
      RONA 2
      NORA 2
      JOSEPH 1
      LERMA 2
      GEBOY 1
      SIMPLICIA 2
      NAZAR 1
      DELIA M 2
      NENITA 2
      JUVIELYN 2
      JOSEPHINE 2
      WILLIAM 1
      ROY VINCENT 1
      CLEOFAS 1
      ELYMAR 1
      BRIENDEL 1
      ANNALISA 2
      RAFAEL 1
      LAWRENCE R 1
      SHERWIN L 1
      NELLIE M 2
      LOVELYN 2
      REDEN 1
      MA CRISTINA 2
      JONALIE 2
      SHERYL 2
      ROLANDO 1
      MARY JANE 2
      JONEL 1
      ALBERT 1
      CARLOS 1
      HENRY 1
      GEMMA 2
      EDGARDO H 1
      LYDIA 2
      ROSITA 2
      ELVIS 1
      No of Employed Persons No of Members With Wage Reduction
      Male 2880 47 16
      Female 1750 36 21
      Total 4630 83 18
      Accessed NFA rice programe Quintile Total
      1 2 3 4 5
      Magnitude Magnitude Magnitude Magnitude Magnitude Magnitude
      Did avail 439 36 325 267 237 195 138 113 79 65 1218 100
      778 647 544 326 203 526
      Did not access 125 114 177 161 199 181 285 26 311 284 1097 100
      222 353 456 674 797 474
      Total 564 244 502 217 436 188 423 183 390 169 2315 100
      100 100 100 100 100 100
      Access to NFA rice program
      Quintile Magnitude Proportion Total No of HHs 100
      1 439 778 564
      2 325 647 502
      3 237 544 436
      4 138 326 423
      5 79 203 390
      Total 1218 526 2315
      Quintile Magnitude Share
      1 439 360
      2 325 267
      3 237 195
      4 138 113
      5 79 65
      Total 1218 1000
      rh_fn sex
      JOSE RUEL 1
      CAROLYN 2
      RICHARD 1
      BAMBI CORAZON 2
      MICHAEL 1
      EVANGELINE 2
      EDILBERTO 1
      ALFREDO 1
      ROSALIE 2
      LENY 2
      FERNANDO 1
      SHIELA 2
      JOMER 1
      ROBERTO 1
      DAISY 2
      ARMAN SR 1
      ELMER 1
      NAIDA 2
      RACHELY 2
      ANNALYN 2
      ROGELIO 1
      LOURDES 2
      ROGEL 1
      JAIME 1
      LANIE 2
      ISABELITA 2
      PRISCILLA 2
      LELAND LLOYD 1
      RANDY 1
      ROLANDO JR 1
      MARILYN 2
      ERIC 1
      ROSEMARIE 2
      MAXIMA 2
      JAMES 1
      NICK 1
      NORMITA 2
      LORNA 2
      RONA 2
      NORA 2
      JOSEPH 1
      GEBOY 1
      SIMPLICIA 2
      DELIA M 2
      JUVIELYN 2
      NENITA 2
      JOSEPHINE 2
      WILLIAM 1
      ROY VINCENT 1
      CLEOFAS 1
      ELYMAR 1
      BRIENDEL 1
      ANNALISA 2
      RAFAEL 1
      LAWRENCE R 1
      SHERWIN L 1
      NELLIE M 2
      LOVELYN 2
      REDEN 1
      MA CRISTINA 2
      JONALIE 2
      SHERYL 2
      ROLANDO 1
      MARY JANE 2
      JONEL 2
      ALBERT 1
      HENRY 1
      GEMMA 2
      EDGARDO H 1
      LYDIA 2
      ROSITA 2
      ELVIS 1
      HILDA 2
      No of Employed Persons No of Members With Reduced Working Hours
      Male 2880 37 13
      Female 1750 36 21
      Total 4630 73 16
      Type of Job Magnitude Proportion
      Plant and Machine Operators and Assemblers 35 480
      Service Workers and Shop and Market Sales Workers 14 192
      Officials of Government and Special-Interests 7 96
      Clerks 5 69
      Trades and Related Workers 3 41
      Laborers and Unskilled Workers 3 41
      Physical Mathematical and Engineering 2 27
      Technician and Associate Professionals 2 27
      Unspecified 2 27
      Total 73 100
      Type of Job Magnitude Proportion
      Plant and Machine Operators and Assemblers 35 480
      Service Workers and Shop and Market Sales Workers 14 192
      Officials of Government and Special-Interests 7 96
      Clerks 5 69
      Trades and Related Workers 3 41
      Laborers and Unskilled Workers 3 41
      Others (including unspecified) 6 82
      Total 73 100
      Program Rural Urban Outside NCR Urban NCR Total
      Ando Salvacion San Miguel Gumamela Magbangon Masikap Poblacion III Villa Angeles 192 No
      No of HHs 174 237 269 432 259 227 466 354 856 3274 1000
      PhilHealth-sponsored programf
      57 3 156 137 459 35 30 627 - 607 185
      Pantawid Pamilya Pilipino Program (4Ps)
      06 0 0 12 0 0 02 0 0 7 02
      NFA rice access program
      81 89 602 521 371 62 163 107 298 1218 372
      Comprehensive Livelihood amp Emergency Employment Program (CLEEP)
      06 0 04 0 0 0 04 0 01 5 02
      Self-Employment Assistance-Kaunlaran (SEA-K) 0 46 0 0 0 0 0 03 0 12 04
      Emergency loan for SSS members who were retrenched since Jan 2009 06 0 0 0 0 31 0 34 09 28 09
      Pag-ibig Special Short-term Loan (STL) Program for displaced workers 11 04 0 0 04 13 0 45 07 29 09
      6-month pay package for laid-off electronic workers 0 0 0 0 0 0 04 0 0 2 0
      Botika ng Barangay Program 86 447 26 25 69 22 185 06 65 403 123
      Day care center services 178 165 63 56 35 0 82 25 53 212 65
      Barangay health services 425 878 327 162 58 128 15 51 118 673 206
      A
      B
      C
      D
      E
      F
      G
      Industry Total Male Female
      No No No
      Private households with employed person 6 222 3 50 3 50
      Health and social work 5 186 1 20 4 80
      Manufacturing 4 148 4 100 0 0
      Transport storage and communication 3 111 3 100 0 0
      Financial intermediation 3 111 2 667 1 333
      Real estate renting and business activity 2 74 2 100 0 0
      Hotel and restaurants 1 37 1 100 0 0
      Wholesale amp retail trade repair of motor vehicles motorcycles and personal household goods 1 37 1 100 0 0
      Other community social and personal service activities 1 37 1 100 0 0
      Construction 1 37 1 100 0 0
      Total 27 100 19 704 8 296
      Male 19 704
      Female 8 296
      Industry Retrenched OFWs
      No
      Private households with employed person A 6 222
      Health and social work B 5 186
      Manufacturing C 4 148
      Transport storage and communication D 3 111
      Financial intermediation E 3 111
      Real estate renting and business activity F 2 74
      Others G 4 37
      Total 27 100
      Male 19 704
      Female 8 296
      26
      21
      19
      15
      8
      18
      Table __ Members who lost job by type of job
      Type of Job Magnitude Proportion
      Service workers and shop and market sal A 26 243
      Professionals B 21 196
      Laborers and skilled workers C 19 178
      Plant and machine operators and assembl D 15 140
      Technicians and associate professionals E 8 75
      Others F 18 168
      Total 107 1000
      Clerks 7 65
      Trades and related workers 7 65
      Officials of government and special interest 4 37
      Table ___ Members who lost job by industry
      Industry No
      Mining and quarying 2 187
      Manufacturing 22 2056
      Electricity gas and water supply 3 28
      Construction 3 28
      Wholesale amp retail trade repair of mot 8 748
      Hotel and restaurants 8 748
      Transport storage and communication 7 654
      Financial intermediation 5 467
      Real estate renting and business activ 2 187
      Public administration and defense comp 7 654
      Education 12 1121
      Health and social work 4 374
      Other community social and personal se 9 841
      Private households with employed person 14 1308
      Extra-territorial organizations and bod 1 093
      Total 107 100
      Q12004
      Q2
      Q3
      Q4
      Q12005
      Q2
      Q3
      Q4
      Q12006
      Q2
      Q3
      Q4
      Q12007
      Q2
      Q3
      Q4
      Q12008
      Q2
      Q3
      Q4
      Q12009
      Q2
      Growth Rate Real GDP Real GDP (PM)
      2004 Q1 72 271817 271817
      Q2 71 282939 282939
      Q3 56 279581 279581
      Q4 58 319959 319959
      2005 Q1 45 284063 284063
      Q2 51 297426 297426
      Q3 47 292665 292665
      Q4 54 337298 337298
      2006 Q1 55 299681 299681
      Q2 53 313112 313112
      Q3 52 30775 307750
      Q4 54 355613 355613
      2007 Q1 69 320326 320326
      Q2 83 339218 339218
      Q3 68 328795 328795
      Q4 63 378154 378154
      2008 Q1 39 33289 332890
      Q2 42 353331 353331
      Q3 46 343784 343784
      Q4 29 388948 388948
      2009 Q1 06 334866 334866
      Q2 15 35846 358460
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      71
      39
      Reason for the lost of Job Magnitude Proportion
      The firm is incurring losses 35 330
      The firm is downsizing and reducing costs 11 104
      The firm went bankrupt and closed 7 66
      Violated company lawsby-laws 3 28
      Corporate restructuring 1 09
      Others specify 49 462
      Outcome variables Magnitude Proportionb
      Dummy = 1 if OFW returned from abroad due to retrenchmentlay-off 27 162
      Dummy = 1 if OFW experienced wage reduction 41 94
      Dummy = 1 if remittances declined in terms of amount 40 92
      Dummy = 1 if remittances declined in terms of frequency 32 73
      Dummy = 1 if business closedshutdown 17 11
      Dummy = 1 if income from business declined 110 69
      Dummy = 1 if employees in business got laid-off 3 02
      Dummy = 1 if lost job 90 28
      Dummy = 1 if wage reduced 74 23
      Dummy = 1 if working hours reduced 65 2
      Dummy = 1 if employment benefits reduced 8 03
      Male
      Female
      Country Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Saudi Arabia 7 304 6 857 1 143
      United States of America 4 174 2 50 2 50
      Qatar 3 13 2 667 1 333
      United Kingdom 3 13 2 667 1 333
      Italy 2 87 1 50 1 50
      Others 8 348 6 75 2 25
      Total 27 100 19 704 8 296
      Country No of OFWs Retrenched OFWs
      Saudi Arabia 7 Male 19
      United States of America 4 Female 8
      Qatar 3
      United Kingdom 3
      Italy 2
      Others 8
      Total 27
      No of OFWs No of Retrenched OFWs
      Male 298 19 64
      Female 213 8 38
      Total 511 27 53
      A
      B
      C
      D
      E
      F
      Male
      Female
      Saudi Arabia
      USA
      Hong Kong SAR
      Qatar
      Singapore
      DPRK
      Others
      Unspecified
      wage Reduction
      Country Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Saudi Arabia 16 381 15 938 1 63 No of OFWs
      USA 4 95 4 100 0 0 Male 32
      Hong Kong SAR 4 95 1 25 3 75 Female 10 761904761905
      Qatar 3 71 2 667 1 333
      Singapore 2 48 2 100 0 0
      DPRK 2 48 2 100 0 0
      Others 8 191 3 375 5 625
      Unspecified 3 71 3 100 0 0
      Total 42 100 32 762 10 238
      Country No of OFWs
      Saudi Arabia 16
      USA 4
      Hong Kong SAR 4
      Qatar 3
      Singapore 2
      DPRK 2
      Others 8
      Unspecified 3
      Total 42
      No of OFWs No of OFWs who Experienced Wage Reduction
      Male 298 32 107
      Female 213 10 47
      Total 511 42 82
      Type of Job No Percent
      Service Workers and Shop and Market Sal 13 3095
      Technician and Associate Professionals 6 1429
      Trades and Related Workers 6 1429
      Laborers and Unskilled Workers 6 1429
      Plant and Machine Operators and Assembl 5 119
      Physical Mathematical and Engineering 3 714
      Officials of Government and Special-Int 2 476
      Special Occupations 1 238
      Total 42 100
      Type of Job No Percent
      Service Workers and Shop and Market Sal A 13 310
      Technician and Associate Professionals B 6 143
      Trades and Related Workers C 6 143
      Laborers and Unskilled Workers D 6 143
      Plant and Machine Operators and Assembl E 5 119
      Others F 6 143
      Total 42 1000
      Male Female Total
      No of OFWs 298 213 511
      No of OFWs who Experienced Wage Reduction 32 10 42
      107 47 82
      A
      B
      C
      D
      E
      Type of Job Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      All Occupations 27 100 19 704 8 296
      Professionals 9 333 5 556 4 444
      Service workers and shop and market sales worker 5 185 3 60 2 40
      Plant and machine operators and assemblers 5 185 5 100 0 0
      Trades and related workers 3 111 2 667 1 333
      Officials of government and special interest organization corporate executives managers managing proprietors and supervisors 1 37 1 100 0 0
      Technicians and associate professionals 1 37 1 100 0 0
      Clerks 1 37 1 100 0 0
      Laborers and skilled workers 1 37 1 100 0 0
      Special occupations 1 37 0 0 1 100
      Type of Job No of OFWs
      Professionals A 9
      Service workers and shop and market sales worker B 5
      Plant and machine operators and assemblers C 5
      Trades and related workers D 3
      Others E 5
      ofwfn sex ofwfn
      ELMIDA 2 ELMIDA 0
      FLORES 2 FLORES 0
      LILIA 2 LILIA 0
      ALONA 2 ALONA 0
      NOREEN 2 NOREEN 0
      MONICA 2 MONICA 0
      CARLITO 1 CARLITO 0
      MA NIMFA 2 MA NIMFA 0
      ELENA 2 ELENA 0
      ISIDRA 2 ISIDRA 0
      FELIZA 2 FELIZA 0
      REMEDIOS 2 REMEDIOS 0
      FELIXBERTO 1 FELIXBERTO 0
      MARTINA 2 MARTINA 0
      VIRGINE 2 VIRGINE 0
      EMILY 2 EMILY 0
      HAYDEE 2 HAYDEE 0
      NENITA 2 NENITA 0
      YOLANDA 2 YOLANDA 0
      EDGARDO 1 EDGARDO 0
      EMMA 2 EMMA 0
      DAN 1 DAN 0
      ROEL 1 ROEL 0
      GENARO 1 GENARO 0
      LINA 2 LINA 0
      ALPHA 2 ALPHA 0
      BLECHA 2 BLECHA 0
      MICHELE 2 MICHELE 0
      ABENCIO 1 ABENCIO 0
      RUBEN 1 RUBEN 0
      ANTONIA 2 ANTONIA 0
      LIZA 2 LIZA 0
      CRISTY 2 CRISTY 0
      SHERYL 2 SHERYL 0
      EVELYN 2 EVELYN 0
      MA GLORIA 2 MA GLORIA 0
      MARIE 2 MARIE 0
      MERIAM 2 MERIAM 0
      FILMA 2 FILMA 0
      ELSIE 2 ELSIE 0
      SHERLYN 2 SHERLYN 0
      MYRNA 2 MYRNA 0
      EVELYN 2 EVELYN 0
      ELDIE 2 ELDIE 0
      VILMA 2 VILMA 0
      CYRIL 2 CYRIL 0
      YOLANDA 2 YOLANDA 0
      JELANIE 2 JELANIE 0
      NOEMA 2 NOEMA 0
      EMMENUEL SR 1 EMMENUEL SR 0
      EMMA 2 EMMA 0
      ANALYN 2 ANALYN 0
      NIDA 2 NIDA 0
      LORNA 2 LORNA 0
      LELIA 2 LELIA 0
      VILMA 2 VILMA 0
      ETHELINDA 2 ETHELINDA 0
      MELANIO 1 MELANIO 0
      MYRNA 2 MYRNA 0
      MARY ANN 2 MARY ANN 0
      EMY 2 EMY 0
      EVA 2 EVA 0
      CONSHITA 2 CONSHITA 0
      LORNA 2 LORNA 0
      EVELYN 2 EVELYN 0
      NILCHA 2 NILCHA 0
      NIDA 2 NIDA 0
      TILLY 2 TILLY 0
      TERESITA 2 TERESITA 0
      NIMFA 2 NIMFA 0
      AGNES 2 AGNES 0
      NIMA 2 NIMA 0
      MARITES 2 MARITES 0
      MARINETTE 2 MARINETTE 0
      NIMFA 2 NIMFA 0
      FREDDIE 1 FREDDIE 0
      FELICITAS 2 FELICITAS 0
      SANDRO JR 1 SANDRO JR 0
      ELMER 1 ELMER 0
      MARIANEY 2 MARIANEY 0
      RIZA 2 RIZA 0
      GLENFORD 1 GLENFORD 0
      JONJIE 1 JONJIE 0
      EDWIN 1 EDWIN 0
      MANOLITO 1 MANOLITO 0
      PAULEEN 2 PAULEEN 0
      MANOLO 1 MANOLO 0
      KATE EDISON 2 KATE EDISON 0
      CIEDWUO 1 CIEDWUO 0
      GISELLE 2 GISELLE 0
      GEMMA 2 GEMMA 0
      ALEX 1 ALEX 0
      NELSA 2 NELSA 0
      ENGELBERT 1 ENGELBERT 0
      JULIET 2 JULIET 0
      HERDOLLY 2 HERDOLLY 0
      JAIME 1 JAIME 0
      WILLIAM 1 WILLIAM 0
      KATHLEEN 2 KATHLEEN 0
      DIOSDADO 1 DIOSDADO 0
      FRANCISCO 1 FRANCISCO 0
      ALBERTO 1 ALBERTO 0
      RHODORA 2 RHODORA 0
      RONALD 1 RONALD 0
      MARLYN 2 MARLYN 0
      ANNALY 2 ANNALY 0
      LUCAS 1 LUCAS 0
      ERLINDA 2 ERLINDA 0
      EDUARDO 1 EDUARDO 0
      FROILAN 1 FROILAN 0
      ELIZALDE 1 ELIZALDE 0
      DOROTHY 2 DOROTHY 0
      LAILA 2 LAILA 0
      PEPE 1 PEPE 0
      DENNIS 1 DENNIS 0
      MARK 1 MARK 0
      ERLINDA 2 ERLINDA 0
      DOMENADOR 1 DOMENADOR 0
      JOVY 2 JOVY 0
      JODY 2 JODY 0
      JAIME JR 1 JAIME JR 0
      LESTER 1 LESTER 0
      MELVIN 1 MELVIN 0
      JOSIE 2 JOSIE 0
      PAMELA 2 PAMELA 0
      ROWELL 1 ROWELL 0
      MERSILITA 2 MERSILITA 0
      DENCIO 1 DENCIO 0
      ROLLY 1 ROLLY 0
      CRIS MICHAEL 1 CRIS MICHAEL 0
      LUZEZY 2 LUZEZY 0
      JIM 1 JIM 0
      MAYMAY 2 MAYMAY 0
      ALLAN 1 ALLAN 0
      ROBERT 1 ROBERT 0
      ANTONIO 1 ANTONIO 0
      MENCHIE 2 MENCHIE 0
      MARCIAL 1 MARCIAL 0
      GINA 2 GINA 0
      RENWALDO 1 RENWALDO 0
      NERISSA 2 NERISSA 0
      GRACE 2 GRACE 0
      FAIDSA 2 FAIDSA 0
      TERISA 2 TERISA 0
      MARK ANTHONY 1 MARK ANTHONY 0
      DARIO 1 DARIO 0
      FATIMA 2 FATIMA 0
      ZORAYDA 2 ZORAYDA 0
      MICHAEL 1 MICHAEL 0
      RUSTY 1 RUSTY 0
      MERLYN 2 MERLYN 0
      PAMELA 2 PAMELA 0
      ROMEL 1 ROMEL 0
      MARK 1 MARK 0
      ALBERT 1 ALBERT 0
      ANNALIZA 2 ANNALIZA 0
      RAMIL 1 RAMIL 0
      THELMA 2 THELMA 0
      FERDINAND 1 FERDINAND 0
      HAROLD 1 HAROLD 0
      SONNY 1 SONNY 0
      ALFREDO 1 ALFREDO 0
      SALVADOR 1 SALVADOR 0
      ARLENE 2 ARLENE 0
      ARTURO 1 ARTURO 0
      OLIVIA 2 OLIVIA 0
      CARLO 1 CARLO 0
      ARMANDO 1 ARMANDO 0
      MARICEL 2 MARICEL 0
      DENNIS 1 DENNIS 0
      AUGOSTO 1 AUGOSTO 0
      SOFIA 2 SOFIA 0
      MICHAEL 1 MICHAEL 0
      ELIZABETH 2 ELIZABETH 0
      ERIC 1 ERIC 0
      ABDUL WAHAB 1 ABDUL WAHAB 0
      RODERICK 1 RODERICK 0
      MATILDE 2 MATILDE 0
      JARIEL 1 6 0
      ROMEO 1 ROMEO 0
      FERDINAND 1 FERDINAND 0
      MARISSA 2 MARISSA 0
      DARWIN 1 DARWIN 0
      DONALD 1 DONALD 0
      RAGIE 1 RAGIE 0
      ARNULFO 1 ARNULFO 0
      EDEN 2 EDEN 0
      EVELYN 2 EVELYN 0
      MARIA LIZA 2 MARIA LIZA 0
      MYRA 2 MYRA 0
      ERWIN 1 ERWIN 0
      OFELIA 2 OFELIA 0
      MARCIAL 1 MARCIAL 0
      CORAZON 2 CORAZON 0
      MARIANO 1 MARIANO 0
      BILLY JOHN 1 BILLY JOHN 0
      NENITA 2 NENITA 0
      MARICEL 2 MARICEL 0
      NEREN 1 NEREN 0
      DAISY 2 DAISY 0
      RUEL 1 RUEL 0
      CLEMENTE 1 CLEMENTE 0
      SALVADOR 1 SALVADOR 0
      GING-GING 2 GING-GING 0
      ARNEL 1 ARNEL 0
      LAURENCE 1 LAURENCE 0
      NORA 2 NORA 0
      JONATHAN 1 JONATHAN 0
      ISIDRO 1 ISIDRO 0
      MYLA 2 MYLA 0
      KRISTINE 2 KRISTINE 0
      WENEFREDO 1 WENEFREDO 0
      FLORDILIZA 2 FLORDILIZA 0
      TERESITA 2 TERESITA 0
      HILARIO 1 HILARIO 0
      ERVIO 1 ERVIO 0
      CRISANTO 1 CRISANTO 0
      JEROME 1 JEROME 0
      REYNALDO 1 REYNALDO 0
      LUISITO 1 LUISITO 0
      ARTURO 1 ARTURO 0
      ARLAN 1 ARLAN 0
      LENAND 1 LENAND 0
      ROMEL 1 ROMEL 0
      JOEL 1 JOEL 0
      GLENN 1 GLENN 0
      BEMEN 1 BEMEN 0
      LAARNI 2 LAARNI 0
      JASIIE 2 JASIIE 0
      GODOFREDO 1 GODOFREDO 0
      MILDRED 2 MILDRED 0
      JAZMIN 2 JAZMIN 0
      ERNESTO 1 ERNESTO 0
      JOSEPH 1 JOSEPH 0
      GERARDO 1 GERARDO 0
      JOAN 2 JOAN 0
      JASON 1 JASON 0
      MANOLITO 1 MANOLITO 0
      REYNALDO 1 REYNALDO 0
      EMIL 1 EMIL 0
      GERARDO SR 1 GERARDO SR 0
      RAEL 1 RAEL 0
      JANICE 2 JANICE 0
      ERLINDA 2 ERLINDA 0
      EMILIANO 1 EMILIANO 0
      CHRISTOPHER 1 CHRISTOPHER 0
      LAURENCE 1 LAURENCE 0
      RENATO 1 RENATO 0
      JEFFERSON 1 JEFFERSON 0
      JOEL 1 JOEL 0
      HENNRY 1 HENNRY 0
      SHERWIN 1 SHERWIN 0
      AMANTE 1 AMANTE 0
      RANDY 1 RANDY 0
      RAUL 1 RAUL 0
      ADAM 1 ADAM 0
      BENIGNO 1 BENIGNO 0
      PATRICK 1 PATRICK 0
      EDUARDO 1 EDUARDO 0
      MELVIN 1 MELVIN 0
      RICARDO 1 RICARDO 0
      ALEXANDER 1 ALEXANDER 0
      NICANDRO 1 NICANDRO 0
      RENATO 1 RENATO 0
      FEDERICO 1 FEDERICO 0
      CATHERINE 2 CATHERINE 0
      ISAGANI 1 ISAGANI 0
      FRANCO 1 FRANCO 0
      MAGTANNGOL 1 MAGTANNGOL 0
      MELINDA 2 MELINDA 0
      JERRY 1 JERRY 0
      JEMUEL 1 JEMUEL 0
      DEAN 2 DEAN 0
      DANILO 1 DANILO 0
      ALEJANDRO 1 ALEJANDRO 0
      DIOSCORO 1 DIOSCORO 0
      YOLANDA 2 YOLANDA 0
      BIENVINIDO 1 BIENVINIDO 0
      NICOMODUS 1 NICOMODUS 0
      RONALD 1 RONALD 0
      MICHAEL 1 MICHAEL 0
      JESSIE 1 JESSIE 0
      JANEL 2 JANEL 0
      ABRAHAM JR 1 ABRAHAM JR 0
      JOJO 1 JOJO 0
      LORETA 2 LORETA 0
      ROGELIO 1 ROGELIO 0
      CHERRY 2 CHERRY 0
      RODERICK 1 RODERICK 0
      CHRISTIAN 1 CHRISTIAN 0
      MARY JANE 2 MARY JANE 0
      LEONILO 1 LEONILO 0
      TOMAS 1 TOMAS 0
      MARK 1 MARK 0
      BERNIE 1 BERNIE 0
      MANUEL 1 MANUEL 0
      CARMELITA 2 CARMELITA 0
      JOEY 1 JOEY 0
      MAUREEN 2 MAUREEN 0
      ARISTOTELLE 1 ARISTOTELLE 0
      FERDINAND 1 FERDINAND 0
      MERVIN 1 MERVIN 0
      MANUEL 1 MANUEL 0
      ROLANDO 1 ROLANDO 0
      ROLLY 1 ROLLY 0
      ROMEL 1 ROMEL 0
      HILARION 1 HILARION 0
      NOEL 1 NOEL 0
      MARLON 1 MARLON 0
      SHIRLEY 2 SHIRLEY 0
      LIRA 2 LIRA 0
      ARMANDO 1 ARMANDO 0
      CESAR 1 CESAR 0
      PABLITO 1 PABLITO 0
      ROBERT 1 ROBERT 0
      ]MARGIE 2 ]MARGIE 0
      ERWIN 1 ERWIN 0
      JAYVEE 1 JAYVEE 0
      PATRICIO 1 PATRICIO 0
      EDWARD 1 EDWARD 0
      CHRISTOPHER 1 CHRISTOPHER 0
      RODOLFO 1 RODOLFO 0
      ROMANO 1 ROMANO 0
      ISAIAS 1 ISAIAS 0
      DELMAR 1 DELMAR 0
      CESAR 1 CESAR 0
      RONELITO 1 RONELITO 0
      CHONA 2 CHONA 0
      ARNOLD 1 ARNOLD 0
      RONALDO 1 RONALDO 0
      EDGARDO 1 EDGARDO 0
      JOMMEL 1 JOMMEL 0
      JERRY 1 JERRY 0
      ROMEO 1 ROMEO 0
      RICARDO 1 RICARDO 0
      ZYRA 2 ZYRA 0
      JOHN FREDIRECK 1 JOHN FREDIRECK 0
      PEARLIE 2 PEARLIE 0
      CARLOS 1 CARLOS 0
      ERVIEL FELIX 1 ERVIEL FELIX 0
      RICARDO 1 RICARDO 0
      ARCHIMEDES 1 ARCHIMEDES 0
      ALFREDO JR 1 ALFREDO JR 0
      JOY 2 JOY 0
      ARIEL 1 ARIEL 0
      TERESITA 2 TERESITA 0
      WILFREDO JR 1 WILFREDO JR 0
      ANTONIO 1 ANTONIO 0
      RUBY 2 RUBY 0
      KRISTINE ANN 2 KRISTINE ANN 0
      OFELIA 2 OFELIA 0
      JOCELYN 2 JOCELYN 0
      RAFAEL 1 RAFAEL 0
      JULIUS 1 JULIUS 0
      LAWRENCE 1 LAWRENCE 0
      LITO 1 LITO 0
      DONNA 2 DONNA 0
      HELEN 2 HELEN 0
      EDGARDO 1 EDGARDO 0
      RODRIGO 1 RODRIGO 0
      MAMERTA JR 1 MAMERTA JR 0
      MANUEL 1 MANUEL 0
      NATIVIDAD 2 NATIVIDAD 0
      SHIELA MARIE 2 SHIELA MARIE 0
      ESTELITA 2 ESTELITA 0
      ARNOLD 1 ARNOLD 0
      DANILO 1 DANILO 0
      NESTOR 1 NESTOR 0
      JULIET 2 JULIET 0
      EDGAR 1 EDGAR 0
      CARLITO 1 CARLITO 0
      WILFREDO 1 WILFREDO 0
      MELCHORA 2 MELCHORA 0
      EMILY 2 EMILY 0
      MICHOYO 1 MICHOYO 0
      ENGKWEE 1 ENGKWEE 0
      EVELYN 2 EVELYN 0
      GLENDA 2 GLENDA 0
      HILDA 2 HILDA 0
      CARMEN 2 CARMEN 0
      AGNES 2 AGNES 0
      ROGELIO 1 ROGELIO 0
      FERDINAN 1 FERDINAN 0
      LARRY 1 LARRY 0
      LEN 2 LEN 0
      MARIA CONCEPCION 2 MARIA CONCEPCION 0
      MARCILA 2 MARCILA 0
      DIVINA 2 DIVINA 0
      GARIZALDE 1 GARIZALDE 0
      JUDITH 2 JUDITH 0
      NIKO 1 NIKO 0
      EDUARDO 1 EDUARDO 0
      JESIE 1 JESIE 0
      EILEEN 2 EILEEN 0
      ERICKSON 1 ERICKSON 0
      GEMMERICK 1 GEMMERICK 0
      ALAN 1 ALAN 0
      EVANGELINE 2 EVANGELINE 0
      NAVIL 1 NAVIL 0
      JERAMINE 1 JERAMINE 0
      RHODORA 2 RHODORA 0
      REYNALDO 1 REYNALDO 0
      TERRY JOY 2 TERRY JOY 0
      DIONA 2 DIONA 0
      NOEMI 2 NOEMI 0
      MINERVA 2 MINERVA 0
      EDGARDO 1 EDGARDO 0
      ROLAND 1 ROLAND 0
      JOSE 1 JOSE 0
      CRISTINA 2 CRISTINA 0
      DOREEN 2 DOREEN 0
      BRYAN 1 BRYAN 0
      SOFRONIA 2 SOFRONIA 0
      PZSTOR 1 PZSTOR 0
      RONALD 1 RONALD 0
      ANTONIO 1 ANTONIO 0
      LOUIE 1 LOUIE 0
      LEVITO 1 LEVITO 0
      ASUNCION 2 ASUNCION 0
      EDWIN 1 EDWIN 0
      BABYLYN 2 BABYLYN 0
      VON 1 VON 0
      JENALYN 2 JENALYN 0
      LEONORA 2 LEONORA 0
      NOLI 1 NOLI 0
      RYAN MARK 1 RYAN MARK 0
      PERCIVAL 1 PERCIVAL 0
      LORENZO A 1 LORENZO A 0
      SIGRID ERCE 1 SIGRID ERCE 0
      ALVIN 1 ALVIN 0
      EMMALYN 2 EMMALYN 0
      ALIAH INGRID 2 ALIAH INGRID 0
      JOSE 1 JOSE 0
      CORAZON 2 CORAZON 0
      MARLYN 2 MARLYN 0
      VINCENTE 1 VINCENTE 0
      BELTRAN 1 BELTRAN 0
      JANET 2 JANET 0
      MARINA 2 MARINA 0
      NOEL 1 NOEL 0
      FLORENTINO 1 FLORENTINO 0
      GILBERTO 1 GILBERTO 0
      RONAN 1 RONAN 0
      VICTORIA 2 VICTORIA 0
      ALFREDO 1 ALFREDO 0
      MARCELA E 2 MARCELA E 0
      ALMA 2 ALMA 0
      RICKY 1 RICKY 0
      MARGARITTA 2 MARGARITTA 0
      LORNA MARLENE 2 LORNA MARLENE 0
      WILLIAM 1 WILLIAM 0
      FELIMON 1 FELIMON 0
      NELSON 1 NELSON 0
      DAISY 2 DAISY 0
      MA TERESA 2 MA TERESA 0
      FRANCISCO 1 FRANCISCO 0
      ARTHURO JR 1 ARTHURO JR 0
      PHILIP JUDAL 1 PHILIP JUDAL 0
      PHILIP JOAN 1 PHILIP JOAN 0
      DANELITH 2 DANELITH 0
      DENNIS 1 DENNIS 0
      RICARDO 1 RICARDO 0
      DAVE 1 DAVE 0
      MAY SHELLY 2 MAY SHELLY 0
      OLIVER 1 OLIVER 0
      ESMERALDO 1 ESMERALDO 0
      JOEL 1 JOEL 0
      JERRY 1 JERRY 0
      EFRIEM 1 EFRIEM 0
      RONALD 1 RONALD 0
      ELVIRA 2 ELVIRA 0
      EUGENIO JR 1 EUGENIO JR 0
      WILFREDO 1 WILFREDO 0
      HUBENCIO 1 HUBENCIO 0
      EDGARDO 1 EDGARDO 0
      BONNE RISA 2 BONNE RISA 0
      FERDINAND 1 FERDINAND 0
      JUANITO 1 JUANITO 0
      JESSIE 1 JESSIE 0
      ANTONIO 1 ANTONIO 0
      PARLIE 2 PARLIE 0
      RANDOLPH 1 RANDOLPH 0
      CEASAR 1 CEASAR 0
      CATHERINE 2 CATHERINE 0
      CHRISTOPHER 1 CHRISTOPHER 0
      LIMUEL 1 LIMUEL 0
      ANALIZA 2 ANALIZA 0
      AMIE 2 AMIE 0
      RODERICK 1 RODERICK 0
      MARICEL 2 MARICEL 0
      MARJORIE 2 MARJORIE 0
      BERNARDO 1 BERNARDO 0
      VICENTE 1 VICENTE 0
      GARITO 1 GARITO 0
      HARLENE 2 HARLENE 0
      HARRIST 1 HARRIST 0
      DONALD 1 DONALD 0
      DONNA 2 DONNA 0
      BRYAN 1 BRYAN 0
      ARMANDO 1 ARMANDO 0
      RITCHELL 1 RITCHELL 0
      ARTHUR 1 ARTHUR 0
      SHIELA ANN 2 SHIELA ANN 0
      PETER LLOYD 1 PETER LLOYD 0
      SAMUEL 1 SAMUEL 0
      CYNTHIA 2 CYNTHIA 0
      ALLAN 1 ALLAN 0
      DENNIS JR 1 DENNIS JR 0
      LEO MARK 1 LEO MARK 0
      IMELDA 2 IMELDA 0
      EDDIE 1 EDDIE 0
      Asia
      Europe
      North America
      Australia
      barangay Freq Percent Cum
      183 3484 535 7468
      201 2947 453 100
      184 2141 329 7797
      194 1534 236 9129
      193 1524 234 8893
      145 1150 177 4927
      191 995 153 8531
      179 939 144 6762
      14 937 144 489
      190 904 139 8378
      172 861 132 6195
      177 850 131 6494
      192 836 128 8659
      46 808 124 1339
      178 804 123 6618
      187 802 123 8144
      165 793 122 5781
      156 755 116 5327
      185 755 116 7913
      197 738 113 9363
      186 702 108 8021
      169 641 098 5956
      199 620 095 9504
      130 615 094 4101
      144 580 089 475
      143 575 088 4661
      65 567 087 2012
      135 529 081 4406
      132 505 078 4218
      148 497 076 5056
      157 497 076 5403
      195 493 076 9205
      66 485 074 2087
      171 479 074 6063
      43 442 068 1157
      90 441 068 2702
      127 419 064 3961
      161 416 064 554
      61 412 063 1835
      4 408 063 15
      72 400 061 23
      182 387 059 6933
      110 380 058 3368
      134 379 058 4325
      180 377 058 682
      108 372 057 3271
      107 364 056 3214
      189 356 055 8239
      181 350 054 6874
      162 345 053 5593
      51 341 052 1469
      153 341 052 5171
      113 338 052 3477
      52 336 052 1521
      100 322 049 3024
      58 321 049 1714
      125 316 049 3878
      133 315 048 4267
      176 313 048 6364
      99 304 047 2974
      137 304 047 4495
      94 299 046 2811
      198 299 046 9409
      147 295 045 498
      196 291 045 9249
      54 289 044 1587
      38 287 044 969
      2 286 044 064
      164 286 044 566
      173 284 044 6239
      200 284 044 9547
      77 282 043 2413
      57 279 043 1665
      123 279 043 3789
      5 278 043 193
      136 275 042 4448
      118 269 041 3645
      175 268 041 6316
      188 266 041 8185
      64 264 041 1925
      111 264 041 3409
      124 261 04 3829
      131 261 04 4141
      166 259 04 5821
      23 257 039 668
      8 254 039 264
      69 253 039 219
      109 250 038 331
      117 246 038 3604
      42 238 037 1089
      98 237 036 2928
      60 235 036 1772
      174 234 036 6274
      67 233 036 2123
      88 232 036 2618
      119 231 035 3681
      62 228 035 187
      40 219 034 1032
      170 217 033 5989
      104 216 033 3112
      97 214 033 2891
      91 207 032 2734
      114 206 032 3509
      115 206 032 354
      70 203 031 2221
      106 198 03 3158
      122 198 03 3746
      47 193 03 1368
      44 190 029 1186
      160 190 029 5476
      32 188 029 836
      39 187 029 998
      68 187 029 2151
      45 183 028 1214
      30 180 028 783
      18 176 027 549
      16 174 027 519
      22 173 027 629
      34 172 026 88
      75 172 026 2361
      96 170 026 2858
      116 169 026 3566
      73 168 026 2326
      155 166 025 5211
      10 164 025 3
      121 160 025 3716
      13 159 024 345
      83 158 024 2519
      159 158 024 5447
      102 157 024 3055
      128 157 024 3985
      3 153 023 087
      19 153 023 573
      31 153 023 807
      103 152 023 3079
      7 147 023 225
      29 147 023 756
      163 147 023 5616
      50 146 022 1417
      37 145 022 925
      53 142 022 1542
      140 141 022 4547
      59 138 021 1736
      41 137 021 1053
      152 137 021 5119
      129 136 021 4006
      95 135 021 2832
      1 129 02 02
      26 127 02 708
      80 127 02 2466
      92 126 019 2753
      158 126 019 5423
      167 126 019 5841
      79 125 019 2447
      126 125 019 3897
      138 125 019 4514
      81 123 019 2485
      21 122 019 602
      55 122 019 1606
      86 121 019 2568
      33 114 018 853
      71 114 018 2239
      84 113 017 2536
      36 111 017 903
      168 110 017 5857
      56 109 017 1622
      89 108 017 2634
      48 106 016 1384
      112 106 016 3425
      151 106 016 5098
      105 105 016 3128
      28 98 015 733
      154 96 015 5186
      63 95 015 1885
      87 94 014 2582
      78 93 014 2427
      141 88 014 456
      150 87 013 5081
      85 86 013 2549
      142 83 013 4573
      93 80 012 2766
      12 76 012 321
      9 75 012 275
      149 75 012 5068
      24 72 011 679
      139 71 011 4525
      20 69 011 583
      120 69 011 3691
      25 64 01 689
      49 64 01 1394
      27 63 01 718
      6 62 01 202
      82 61 009 2494
      74 58 009 2335
      11 55 008 309
      76 55 008 237
      146 50 008 4935
      101 49 008 3031
      35 41 006 886
      15 24 004 493
      17 19 003 522
      Total 65116 100
      TYPE OF EXPENDITURE DIRECTION OF CHANGE
      Increase Remained the Same Decrease Not Applicable Prop-Increase Pro-Same Prop -decrease
      Food 1970 1054 236 - 3260 604 323 72
      Clothing 756 1739 765 - 3260 232 533 235
      Cooking Fuel 952 1893 415 - 3260 292 581 127
      Electricity 1715 1013 206 - 2934 585 345 70
      Water 804 1610 176 670 2590 310 622 68
      Education 545 1135 142 1438 1822 299 623 78
      Health 725 1451 436 648 2612 278 556 167
      Communication 578 1413 544 725 2535 228 557 215
      Transportation 570 1699 498 493 2767 206 614 180
      Recreation 223 1205 760 1072 2188 102 551 347
      Saudi Arabia
      United States of America
      Qatar
      United Kingdom
      Italy
      Others
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      Unemployment Rate
      2004 Jan 110
      Apr 137
      Jul 117
      Oct 109
      2005 Jan 113
      Apr 83
      Jul 77
      Oct 74
      2006 Jan 81
      Apr 82
      Jul 80
      Oct 73
      2007 Jan 78
      Apr 74
      Jul 78
      Oct 63
      2008 Jan 74
      Apr 80
      Jul 74
      Oct 68
      2009 Jan 77
      Apr 75
      Jul 76
      Unemployment Rate
      Q12004 11
      Q22004
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      FOB Value Growth rate year-on-year
      2007 Jan 39869 218
      Feb 37173 78
      Mar 44775 73
      Apr 41173 51
      May 41216 61
      Jun 41167 15
      Jul 41880 43
      Aug 41041 (40)
      Sep 43725 46
      Oct 46484 105
      Nov 39475 (21)
      Dec 44724 214
      2008 Jan 42306 60
      Feb 41120 105
      Mar 41931 (66)
      Apr 43247 49
      May 42241 23
      Jun 45134 88
      Jul 44372 44
      Aug 43930 66
      Sep 44387 11
      Oct 39710 (148)
      Nov 35130 (114)
      Dec 26746 (403)
      2009 Jan 251119 (406)
      Feb 250629 (391)
      Mar 290673 (308)
      Apr 280311 (352)
      May 308786 (269)
      Jun 340630 (248)
      Jul 331077 (254)
      Aug 347289 (210)
      Sep 363398 (183)
      2007 2008 2009
      Month FOB Value Growth Rates FOB Value Growth Rates FOB Value Growth Rates
      Jan 39869 218 42306 60 251119 (406)
      Feb 37173 78 41120 105 250629 (391)
      Mar 44775 73 41931 (66) 290673 (308)
      Apr 41173 51 43247 49 280311 (352)
      May 41216 61 42241 23 308786 (269)
      Jun 41167 15 45134 88 340630 (248)
      Jul 41880 43 44372 44 331077 (254)
      Aug 41041 (40) 43930 66 347289 (210)
      Sep 43725 46 44387 11 363398 (183)
      Oct 46484 105 39710 (148)
      Nov 39475 (21) 35130 (114)
      Dec 44724 214 26746 (403)
      2007 2008 2009
      Month Levels Growth Rates Levels Growth Rates Levels Growth Rates
      Jan 10994 199 12640 150 12655 01
      Feb 10855 254 12586 159 13200 49
      Mar 13048 264 14278 94 14715 31
      Apr 11915 326 14102 184 14417 22
      May 12371 84 14298 156 14822 37
      Jun 11158 10 14508 300 14987 33
      Jul 10966 46 13668 246 14940 93
      Aug 12069 106 13320 104 13691 28
      Sep 11398 124 13329 169
      Oct 13885 171 14347 33
      Nov 11870 38 13113 105
      Dec 13970 59 14077 08
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      Amount Growth rate year-on-year
      2007 Jan 10994 199
      Feb 10855 254
      Mar 13048 264
      Apr 11915 326
      May 12371 84
      Jun 11158 10
      Jul 10966 46
      Aug 12069 106
      Sep 11398 124
      Oct 13885 171
      Nov 11870 38
      Dec 13970 59
      2008 Jan 12640 150
      Feb 12586 159
      Mar 14278 94
      Apr 14102 184
      May 14298 156
      Jun 14508 300
      Jul 13668 246
      Aug 13320 104
      Sep 13329 169
      Oct 14347 33
      Nov 13113 105
      Dec 14077 08
      2009 Jan 12655 01
      Feb 13200 49
      Mar 14715 31
      Apr 14417 22
      May 14822 37
      Jun 14987 33
      Jul 14940 93
      Aug 13691 28
      Jan2007
      Apr
      Jul
      Oct
      Jan2008
      Apr
      Jul
      Oct
      Jan2009
      Apr
      Jul
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      Unemployment Rate
      2004 Q1 110
      Q2 137
      Q3 117
      Q4 109
      2005 Q1 113
      Q2 83
      Q3 77
      Q4 74
      2006 Q1 81
      Q2 82
      Q3 80
      Q4 73
      2007 Q1 78
      Q2 74
      Q3 78
      Q4 63
      2008 Q1 74
      Q2 80
      Q3 74
      Q4 68
      2009 Q1 77
      Q2 75
      Q3 76
      Unemployment Rate
      Q12004 11
      Q22004
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      FOB Value Growth rate year-on-year
      2007 Jan 39869 218
      Feb 37173 78
      Mar 44775 73
      Apr 41173 51
      May 41216 61
      Jun 41167 15
      Jul 41880 43
      Aug 41041 (40)
      Sep 43725 46
      Oct 46484 105
      Nov 39475 (21)
      Dec 44724 214
      2008 Jan 42306 60
      Feb 41120 105
      Mar 41931 (66)
      Apr 43247 49
      May 42241 23
      Jun 45134 88
      Jul 44372 44
      Aug 43930 66
      Sep 44387 11
      Oct 39710 (148)
      Nov 35130 (114)
      Dec 26746 (403)
      2009 Jan 251119 (406)
      Feb 250629 (391)
      Mar 290673 (308)
      Apr 280311 (352)
      May 308786 (269)
      Jun 340630 (248)
      Jul 331077 (254)
      Aug 347289 (210)
      Sep 363398 (183)
      2007 2008 2009
      Month FOB Value Growth Rates FOB Value Growth Rates FOB Value Growth Rates
      Jan 39869 218 42306 60 251119 (406)
      Feb 37173 78 41120 105 250629 (391)
      Mar 44775 73 41931 (66) 290673 (308)
      Apr 41173 51 43247 49 280311 (352)
      May 41216 61 42241 23 308786 (269)
      Jun 41167 15 45134 88 340630 (248)
      Jul 41880 43 44372 44 331077 (254)
      Aug 41041 (40) 43930 66 347289 (210)
      Sep 43725 46 44387 11 363398 (183)
      Oct 46484 105 39710 (148)
      Nov 39475 (21) 35130 (114)
      Dec 44724 214 26746 (403)
      2007 2008 2009
      Month Levels Growth Rates Levels Growth Rates Levels Growth Rates
      Jan 10994 199 12640 150 12655 01
      Feb 10855 254 12586 159 13200 49
      Mar 13048 264 14278 94 14715 31
      Apr 11915 326 14102 184 14417 22
      May 12371 84 14298 156 14822 37
      Jun 11158 10 14508 300 14987 33
      Jul 10966 46 13668 246 14940 93
      Aug 12069 106 13320 104 13691 28
      Sep 11398 124 13329 169
      Oct 13885 171 14347 33
      Nov 11870 38 13113 105
      Dec 13970 59 14077 08
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      Amount Growth rate year-on-year
      2007 Jan 10994 199
      Feb 10855 254
      Mar 13048 264
      Apr 11915 326
      May 12371 84
      Jun 11158 10
      Jul 10966 46
      Aug 12069 106
      Sep 11398 124
      Oct 13885 171
      Nov 11870 38
      Dec 13970 59
      2008 Jan 12640 150
      Feb 12586 159
      Mar 14278 94
      Apr 14102 184
      May 14298 156
      Jun 14508 300
      Jul 13668 246
      Aug 13320 104
      Sep 13329 169
      Oct 14347 33
      Nov 13113 105
      Dec 14077 08
      2009 Jan 12655 01
      Feb 13200 49
      Mar 14715 31
      Apr 14417 22
      May 14822 37
      Jun 14987 33
      Jul 14940 93
      Aug 13691 28
      Jan2007 Jan2007
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2008 Jan2008
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2009 Jan2009
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Site No of HHs Pantawid Pamilya Pilipino Program (4Ps) NFA rice access program Comprehensive Livelihood amp Emergency Employment Program (CLEEP) Self-Employment Assistance-Kaunlaran (SEA-K) Emergency loan for SSS members who were retrenched since Jan 2009 Pag-ibig Special Short-term Loan (STL) Program for displaced workers 6-month pay package for laid-off electronic workers Botika ng Barangay Program Day care center services Barangay health services
      Rural
      Ando 174 57 06 81 06 0 06 11 0 86 178 425
      Salvacion 237 3 0 89 0 46 0 04 0 447 165 878
      San Miguel 269 156 0 602 04 0 0 0 0 26 63 327
      Urban Outside NCR
      Gumamela 432 137 12 521 0 0 0 0 0 25 56 162
      Magbangon 259 459 0 371 0 0 0 04 0 69 35 58
      Masikap 227 35 0 62 0 0 31 13 0 22 0 128
      Poblacion III 466 30 02 163 04 0 0 0 04 185 82 15
      Villa Angeles 354 627 0 107 0 03 34 45 0 06 25 51
      Urban NCR
      192 856 - 0 298 01 0 09 07 0 65 53 118
      TOTAL
      No 3274 607 7 1218 5 12 28 29 2 403 212 673
      1000 185 02 372 02 04 09 09 0 123 65 206
      Total Male Female
      Region Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Asia 15 555 12 80 3 20
      Europe 6 222 4 667 2 333
      North America 5 185 3 60 2 40
      Australia 1 37 0 0 1 100
      Total 27 100 19 704 7 296
      Region No of OFWs
      Asia 15
      Europe 6
      North America 5
      Australia 1
      Total 27
      All Sectors Manufacturing
      2007 Q1 156 -046
      Q2 357 03
      Q3 331 -008
      Q4 287 081
      2008 Q1 476 386
      Q2 199 0
      Q3 205 -037
      Q4 069 01
      2009 Q1 027 -138
      Q2 221 224
      Q12007 Q12007
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12008 Q12008
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12009 Q12009
      Q2 Q2
      withdrawsy_fn withdrawsy_fn sex
      ELMER JR 1 DENESSA 2
      REYNAN 1 ELMER JR 1
      ROBERT 1 ARMIE 2
      CARYLLE KAYE 2 GILBERT 1
      ALVIN 1 DANTE 1
      KIETH CYRILL 1 RONALD 1
      JOVEN 1 JALLY 2
      BENIGNO 1 REYNAN 1
      ALVIN 1 ROBERT 1
      DENMARK E 1 BRENDA 2
      DON CARLO D 1 BEBETH 2
      DENESSA 2 ALVIN 1
      GILBERT 1 MA FE 2
      DANTE 1 YMEL 1
      REGGIE 1 JOVEN 1
      RONALD 1 JOHN MANUEL 1
      JALLY 2 JUN-JUN 1
      KOBE BRYAN 1 JOHN LUIS 1
      MA FE 2 KENNETH 1
      YMEL 1 MA ELINA 2
      BRENDA 2 BERSON 1
      FRANCIS EDD 1 GLENN IRETH 1
      FRANCIS GABRIELLE 1 ALVIN 1
      JOHN MICO 1 DENMARK E 1
      OMAR JOSEPH 1 DON CARLO D 1
      DHANVER 1 DHANVER 1
      BEBETH 2 KOBE BRYAN 1
      ARMIE 2 REGGIE 1
      BERSON 1 KIETH CYRILL 1
      GLENN IRETH 1 CARYLLE KAYE 2
      JOHN MANUEL 1 BENIGNO 1
      MA ELINA 2 JOHN MICO 1
      JUN-JUN 1 OMAR JOSEPH 1
      JOHN LUIS 1 FRANCIS EDD 1
      KENNETH 1 FRANCIS GABRIELLE 1
      No No of Withdrawn Children
      Male 2093 27 13 2066 27
      Female 1916 8 04 1908 8
      Total 4009 35 17
      privtopubsy_fn sex
      RINA 2
      MARIEL 2
      JOHN DANE 1
      JOSHUA 1
      ROLANDO 1
      GERALDWIN 1
      SAVINA 2
      AIKE 1
      HAROLD 1
      DARREL 1
      ARVIN 1
      PAUL JOHN 1
      JAN AIGRETTE 2
      MARIA CLAUDINE 2
      GERRY 1
      DOMINIC ALLEYAH 2
      No of Students No of Children who Shifted from Private to Public School
      Male 2066 10 05
      Female 1908 8 04
      Total 3974 18 09
      Gross Domestic Product Net Factor Income from Abroad and Gross National Product1st Qtr 2003 -2nd Qtr 2009(in million PhP)
      Period At Current Prices At Constant 1985 Prices
      GDP NFIA GNP GDP NFIA GNP
      2003 4316402 315077 4631479 1085072 86359 1171431
      Q1 994224 68550 1062773 253672 19168 272840
      Q2 1032440 80778 1113218 264189 22243 286432
      Q3 1057502 83314 1140816 264671 22665 287337
      Q4 1232236 82435 1314672 302539 22283 324822
      2004 4871555 376509 5248064 1154295 98036 1252331
      Q1 1109078 84329 1193407 271817 22828 294644
      Q2 1170574 97245 1267820 282939 25580 308518
      Q3 1198554 97202 1295756 279581 24853 304443
      Q4 1393348 97733 1491081 319959 24776 344735
      2005 5444038 447145 5891183 1211452 108548 1320000
      Q1 1234383 100221 1336605 284063 25239 309303
      Q2 1316400 112436 1428836 297426 27429 324855
      Q3 1334509 107281 1441790 292665 25680 318345
      Q4 1558746 127206 1685953 337298 30199 367497
      2006 6031164 500940 6532104 1276156 115133 1391289
      Q1 1386083 112729 1489912 299681 26491 326172
      Q2 1454772 129652 1584423 313112 29825 342937
      Q3 1476946 113828 1590774 307750 26008 333757
      Q4 1713364 144731 1858095 355613 32808 388421
      2007 6647338 579974 7227312 1366493 129098 1495589
      Q1 1523149 117930 1641079 320326 26866 347192
      Q2 1617711 160029 1777741 339218 35809 375026
      Q3 1610729 152413 1763142 328795 33671 362466
      Q4 1895749 149601 2045350 378154 32750 410905
      2008 7423213 827036 8250249 1418952 168845 1587797
      Q1 1660335 168092 1828427 332890 36603 369494
      Q2 1833916 201478 2035395 353331 41456 394787
      Q3 1853440 209295 2062735 343784 41280 385063
      Q4 2075522 248170 2323692 388948 49507 438454
      2009
      Q1 1738762 230951 1969713 334866 46035 380901
      Q2 1869888 274822 2144710 358460 53758 412218
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      Sex Lost job Individuals who lost job
      Magnitude Proportion Individuals who Lost Job Members of the Labor Force
      Total 107 100 Male 65 3213 20
      Female 42 2036 21
      Male 65 608 Total 107 5249 41
      Female 42 393
      Statistics Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Population 15 years and over 9657 100 4765 493 4892 507
      Labor force 5249 100 3213 612 2036 388
      Employed persons 4630 100 2880 622 1750 378
      Unemployed persons 619 100 333 538 286 462
      Labor force participation rate 544 674 416
      Employment rate 882 896 86
      Unemployment rate 118 104 14
      Indicator Magnitude
      No of Households 3274
      HH with member who lost job 90 28
      Statistics Total Male Female
      No No
      Population 15 years and over 9657 4765 493 4892 507
      Labor force 5249 3213 612 2036 388
      Employed persons 4630 2880 622 1750 378
      Unemployed persons 619 333 538 286 462
      Indicator Rural Urban NCR Urban Outside NCR Total
      Magnitude Proportion Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH with returning OFW 17 246 26 366 124 413 167 38
      HH with returning OFW who was retrenched or laid off from work 2 118 2 77 23 185 27 162
      HH with OFW who experienced wage reduction 2 29 11 155 28 93 41 94
      HH who received remittances during the past 12 months 63 913 60 845 264 88 387 88
      HH who received remittances during the past 6 months 67 971 71 100 298 993 436 991
      HH who experienced a decline in the amount of remittances received 7 104 13 183 20 67 40 92
      HH who experienced a decline in the frequency of receipt of remittances 4 6 9 127 19 64 32 73
      Indicator Rural Urban NCR Urban Outside NCR Total
      Magnitude Proportion Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH with OFW who experienced wage reduction 2 29 11 155 28 93 41 94
      Area Households HHs with OFW HH with OFW who experienced wage reduction
      Rural No 680 69 2
      101 29
      Urban NCR No 856 71 11
      83 155
      Urban Outside NCR No 1738 300 28
      173 93
      Total No 3274 440 41
      134 94
      Indicator Rural Urban NCR Urban Outside NCR Total
      No No No No
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH who received remittances during the past 6 months 67 971 71 100 298 993 436 991
      HH who experienced a decline in the amount of remittances received 7 104 13 183 20 67 40 92
      HH who experienced a decline in the frequency of receipt of remittances 4 6 9 127 19 64 32 73
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      Growth Rate Real GDP Real GDP (PM)
      2003 Q1 253672 253672
      Q2 264189 264189
      Q3 264671 264671
      Q4 302539 302539
      2004 Q1 72 271817 271817
      Q2 71 282939 282939
      Q3 56 279581 279581
      Q4 58 319959 319959
      2005 Q1 45 284063 284063
      Q2 51 297426 297426
      Q3 47 292665 292665
      Q4 54 337298 337298
      2006 Q1 55 299681 299681
      Q2 53 313112 313112
      Q3 52 30775 307750
      Q4 54 355613 355613
      2007 Q1 69 320326 320326
      Q2 83 339218 339218
      Q3 68 328795 328795
      Q4 63 378154 378154
      2008 Q1 39 33289 332890
      Q2 42 353331 353331
      Q3 46 343784 343784
      Q4 29 388948 388948
      2009 Q1 06 334866 334866
      Q2 15 35846 358460
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      Outcome variables Magnitude
      Overseas Employment and Remittances
      HHs with OFW who returned from abroad due to retrenchmentlay-off 27 61
      HHs with OFW who experienced wage reduction 41 94
      HHs with remittances declined in terms of amount 40 92
      HHs with remittances declined in terms of frequency 32 73
      Local Employment
      HHs with business closedshutdown 17 11
      HHs with income from business declined 110 69
      HHs with employees in business got laid-off 3 02
      HHs with member who lost job 90 28
      HHs with members who experienced wage reduction 74 23
      HHs with members who experienced reduction in working hours 65 2
      HHs with members who experienced reduction in employment benefits 8 03
      Table ___ Households coping strategies on tapping of various fund sources by location 2009
      Coping Strategies Total
      Magnitude Proportion
      Used savings 440 134
      Sold assets 64 2
      Pawned assets 157 48
      Tried to borrow money 1330 406
      Borrowed money 1290 394
      Defaulted on debt 193 59
      Table __ Households coping strategies on employment by location 2009
      Coping Strategies Total
      Magnitude Proportion
      Looked for additional work 183 56
      Did additional work 144 44
      Employed members not previously working 59 18
      Looked for work abroad 53 16
      rb_fn sex
      ARNOLD 1
      ANNIELYN 2
      ELMER 1
      ROLAN 1
      ARIES 1
      NORA 2
      LYDIA 2
      APOLINARIO 1
      No of Employed Persons With Reduced Benefits With Wage Reduction
      No No
      Male 2880 5 017 47 16
      Female 1750 3 017 36 21
      Total 4630 8 017 83 18
      rw_fn sex
      CALIXTO P 1
      GEDION 1
      ERNESTO JR 1
      RUBY ANN 2
      CAROLYN 2
      RAMIL 1
      JESS CHRISTOPHER 1
      EFREN 1
      ALFREDO 1
      ROSALIE 2
      PERCIVAL 1
      JOMER 1
      ARTURO 1
      ORLANDO SR 1
      ROBERTO 1
      DAISY 2
      VICTOR 1
      ARMAN SR 1
      MARIAN 2
      ANNIELYN 2
      ELMER 1
      NAIDA 2
      LEVY II 1
      OFELIA 2
      RODERICK 1
      ANNALYN 2
      ROLAN 1
      EFREN 1
      ROGELIO 1
      LOURDES 2
      JAIME 1
      LANIE 2
      ISABELITA 2
      PRISCILLA 2
      LELAND LLOYD 1
      RANDY 1
      ROLANDO JR 1
      MARILYN 2
      ERIC 1
      ROSEMARIE 2
      MAXIMA 2
      JAMES 1
      RAUL 1
      NICK 1
      NORMITA 2
      LORNA 2
      RONA 2
      NORA 2
      JOSEPH 1
      LERMA 2
      GEBOY 1
      SIMPLICIA 2
      NAZAR 1
      DELIA M 2
      NENITA 2
      JUVIELYN 2
      JOSEPHINE 2
      WILLIAM 1
      ROY VINCENT 1
      CLEOFAS 1
      ELYMAR 1
      BRIENDEL 1
      ANNALISA 2
      RAFAEL 1
      LAWRENCE R 1
      SHERWIN L 1
      NELLIE M 2
      LOVELYN 2
      REDEN 1
      MA CRISTINA 2
      JONALIE 2
      SHERYL 2
      ROLANDO 1
      MARY JANE 2
      JONEL 1
      ALBERT 1
      CARLOS 1
      HENRY 1
      GEMMA 2
      EDGARDO H 1
      LYDIA 2
      ROSITA 2
      ELVIS 1
      No of Employed Persons No of Members With Wage Reduction
      Male 2880 47 16
      Female 1750 36 21
      Total 4630 83 18
      Quintile Total
      1 2 3 4 5
      Magnitude Magnitude Magnitude Magnitude Magnitude Magnitude
      Did avail 439 36 325 267 237 195 138 113 79 65 1218 100
      778 647 544 326 203 526
      Did not access 125 114 177 161 199 181 285 26 311 284 1097 100
      222 353 456 674 797 474
      Total 564 244 502 217 436 188 423 183 390 169 2315 100
      100 100 100 100 100 100
      Access to NFA rice program
      Quintile Magnitude Proportion Total No of HHs 100
      1 439 778 564
      2 325 647 502
      3 237 544 436
      4 138 326 423
      5 79 203 390
      Total 1218 526 2315
      Quintile Magnitude Share
      1 439 360
      2 325 267
      3 237 195
      4 138 113
      5 79 65
      Total 1218 1000
      rh_fn sex
      JOSE RUEL 1
      CAROLYN 2
      RICHARD 1
      BAMBI CORAZON 2
      MICHAEL 1
      EVANGELINE 2
      EDILBERTO 1
      ALFREDO 1
      ROSALIE 2
      LENY 2
      FERNANDO 1
      SHIELA 2
      JOMER 1
      ROBERTO 1
      DAISY 2
      ARMAN SR 1
      ELMER 1
      NAIDA 2
      RACHELY 2
      ANNALYN 2
      ROGELIO 1
      LOURDES 2
      ROGEL 1
      JAIME 1
      LANIE 2
      ISABELITA 2
      PRISCILLA 2
      LELAND LLOYD 1
      RANDY 1
      ROLANDO JR 1
      MARILYN 2
      ERIC 1
      ROSEMARIE 2
      MAXIMA 2
      JAMES 1
      NICK 1
      NORMITA 2
      LORNA 2
      RONA 2
      NORA 2
      JOSEPH 1
      GEBOY 1
      SIMPLICIA 2
      DELIA M 2
      JUVIELYN 2
      NENITA 2
      JOSEPHINE 2
      WILLIAM 1
      ROY VINCENT 1
      CLEOFAS 1
      ELYMAR 1
      BRIENDEL 1
      ANNALISA 2
      RAFAEL 1
      LAWRENCE R 1
      SHERWIN L 1
      NELLIE M 2
      LOVELYN 2
      REDEN 1
      MA CRISTINA 2
      JONALIE 2
      SHERYL 2
      ROLANDO 1
      MARY JANE 2
      JONEL 2
      ALBERT 1
      HENRY 1
      GEMMA 2
      EDGARDO H 1
      LYDIA 2
      ROSITA 2
      ELVIS 1
      HILDA 2
      No of Employed Persons No of Members With Reduced Working Hours
      Male 2880 37 13
      Female 1750 36 21
      Total 4630 73 16
      Type of Job Magnitude Proportion
      Plant and Machine Operators and Assemblers 35 480
      Service Workers and Shop and Market Sales Workers 14 192
      Officials of Government and Special-Interests 7 96
      Clerks 5 69
      Trades and Related Workers 3 41
      Laborers and Unskilled Workers 3 41
      Physical Mathematical and Engineering 2 27
      Technician and Associate Professionals 2 27
      Unspecified 2 27
      Total 73 100
      Type of Job Magnitude Proportion
      Plant and Machine Operators and Assemblers 35 480
      Service Workers and Shop and Market Sales Workers 14 192
      Officials of Government and Special-Interests 7 96
      Clerks 5 69
      Trades and Related Workers 3 41
      Laborers and Unskilled Workers 3 41
      Others (including unspecified) 6 82
      Total 73 100
      Program Rural Urban Outside NCR Urban NCR Total
      Ando Salvacion San Miguel Gumamela Magbangon Masikap Poblacion III Villa Angeles 192 No
      No of HHs 174 237 269 432 259 227 466 354 856 3274 1000
      57 3 156 137 459 35 30 627 - 607 185
      Pantawid Pamilya Pilipino Program (4Ps)
      06 0 0 12 0 0 02 0 0 7 02
      NFA rice access program
      81 89 602 521 371 62 163 107 298 1218 372
      Comprehensive Livelihood amp Emergency Employment Program (CLEEP)
      06 0 04 0 0 0 04 0 01 5 02
      Self-Employment Assistance-Kaunlaran (SEA-K) 0 46 0 0 0 0 0 03 0 12 04
      Emergency loan for SSS members who were retrenched since Jan 2009 06 0 0 0 0 31 0 34 09 28 09
      Pag-ibig Special Short-term Loan (STL) Program for displaced workers 11 04 0 0 04 13 0 45 07 29 09
      6-month pay package for laid-off electronic workers 0 0 0 0 0 0 04 0 0 2 0
      Botika ng Barangay Program 86 447 26 25 69 22 185 06 65 403 123
      Day care center services 178 165 63 56 35 0 82 25 53 212 65
      Barangay health services 425 878 327 162 58 128 15 51 118 673 206
      0
      0
      0
      0
      0
      0
      0
      Industry Total Male Female
      No No No
      Private households with employed person 6 222 3 50 3 50
      Health and social work 5 186 1 20 4 80
      Manufacturing 4 148 4 100 0 0
      Transport storage and communication 3 111 3 100 0 0
      Financial intermediation 3 111 2 667 1 333
      Real estate renting and business activity 2 74 2 100 0 0
      Hotel and restaurants 1 37 1 100 0 0
      Wholesale amp retail trade repair of motor vehicles motorcycles and personal household goods 1 37 1 100 0 0
      Other community social and personal service activities 1 37 1 100 0 0
      Construction 1 37 1 100 0 0
      Total 27 100 19 704 8 296
      Male 19 704
      Female 8 296
      Industry Retrenched OFWs
      No
      Private households with employed person A 6 222
      Health and social work B 5 186
      Manufacturing C 4 148
      Transport storage and communication D 3 111
      Financial intermediation E 3 111
      Real estate renting and business activity F 2 74
      Others G 4 37
      Total 27 100
      Male 19 704
      Female 8 296
      0
      0
      0
      0
      0
      0
      Table __ Members who lost job by type of job
      Type of Job Magnitude Proportion
      Service workers and shop and market sal A 26 243
      Professionals B 21 196
      Laborers and skilled workers C 19 178
      Plant and machine operators and assembl D 15 140
      Technicians and associate professionals E 8 75
      Others F 18 168
      Total 107 1000
      Clerks 7 65
      Trades and related workers 7 65
      Officials of government and special interest 4 37
      Table ___ Members who lost job by industry
      Industry No
      Mining and quarying 2 187
      Manufacturing 22 2056
      Electricity gas and water supply 3 28
      Construction 3 28
      Wholesale amp retail trade repair of mot 8 748
      Hotel and restaurants 8 748
      Transport storage and communication 7 654
      Financial intermediation 5 467
      Real estate renting and business activ 2 187
      Public administration and defense comp 7 654
      Education 12 1121
      Health and social work 4 374
      Other community social and personal se 9 841
      Private households with employed person 14 1308
      Extra-territorial organizations and bod 1 093
      Total 107 100
      Growth Rate Real GDP Real GDP (PM)
      2004 Q1 72 271817 271817
      Q2 71 282939 282939
      Q3 56 279581 279581
      Q4 58 319959 319959
      2005 Q1 45 284063 284063
      Q2 51 297426 297426
      Q3 47 292665 292665
      Q4 54 337298 337298
      2006 Q1 55 299681 299681
      Q2 53 313112 313112
      Q3 52 30775 307750
      Q4 54 355613 355613
      2007 Q1 69 320326 320326
      Q2 83 339218 339218
      Q3 68 328795 328795
      Q4 63 378154 378154
      2008 Q1 39 33289 332890
      Q2 42 353331 353331
      Q3 46 343784 343784
      Q4 29 388948 388948
      2009 Q1 06 334866 334866
      Q2 15 35846 358460
      Q3 08 346405 346405
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o ]
      71
      39
      Reason for the lost of Job Magnitude Proportion
      The firm is incurring losses 35 330
      The firm is downsizing and reducing costs 11 104
      The firm went bankrupt and closed 7 66
      Violated company lawsby-laws 3 28
      Corporate restructuring 1 09
      Others specify 49 462
      Outcome variables Magnitude
      Dummy = 1 if OFW returned from abroad due to retrenchmentlay-off 27 162
      Dummy = 1 if OFW experienced wage reduction 41 94
      Dummy = 1 if remittances declined in terms of amount 40 92
      Dummy = 1 if remittances declined in terms of frequency 32 73
      Dummy = 1 if business closedshutdown 17 11
      Dummy = 1 if income from business declined 110 69
      Dummy = 1 if employees in business got laid-off 3 02
      Dummy = 1 if lost job 90 28
      Dummy = 1 if wage reduced 74 23
      Dummy = 1 if working hours reduced 65 2
      Dummy = 1 if employment benefits reduced 8 03
      0
      0
      Country Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Saudi Arabia 7 304 6 857 1 143
      United States of America 4 174 2 50 2 50
      Qatar 3 13 2 667 1 333
      United Kingdom 3 13 2 667 1 333
      Italy 2 87 1 50 1 50
      Others 8 348 6 75 2 25
      Total 27 100 19 704 8 296
      Country No of OFWs Retrenched OFWs
      Saudi Arabia 7 Male 19
      United States of America 4 Female 8
      Qatar 3
      United Kingdom 3
      Italy 2
      Others 8
      Total 27
      No of OFWs No of Retrenched OFWs
      Male 298 19 64
      Female 213 8 38
      Total 511 27 53
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      wage Reduction
      Country Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Saudi Arabia 16 381 15 938 1 63 No of OFWs
      USA 4 95 4 100 0 0 Male 32
      Hong Kong SAR 4 95 1 25 3 75 Female 10 761904761905
      Qatar 3 71 2 667 1 333
      Singapore 2 48 2 100 0 0
      DPRK 2 48 2 100 0 0
      Others 8 191 3 375 5 625
      Unspecified 3 71 3 100 0 0
      Total 42 100 32 762 10 238
      Country No of OFWs
      Saudi Arabia 16
      USA 4
      Hong Kong SAR 4
      Qatar 3
      Singapore 2
      DPRK 2
      Others 8
      Unspecified 3
      Total 42
      No of OFWs No of OFWs who Experienced Wage Reduction
      Male 298 32 107
      Female 213 10 47
      Total 511 42 82
      Type of Job No Percent
      Service Workers and Shop and Market Sal 13 3095
      Technician and Associate Professionals 6 1429
      Trades and Related Workers 6 1429
      Laborers and Unskilled Workers 6 1429
      Plant and Machine Operators and Assembl 5 119
      Physical Mathematical and Engineering 3 714
      Officials of Government and Special-Int 2 476
      Special Occupations 1 238
      Total 42 100
      Type of Job No Percent
      Service Workers and Shop and Market Sal A 13 310
      Technician and Associate Professionals B 6 143
      Trades and Related Workers C 6 143
      Laborers and Unskilled Workers D 6 143
      Plant and Machine Operators and Assembl E 5 119
      Others F 6 143
      Total 42 1000
      Male Female Total
      No of OFWs 298 213 511
      No of OFWs who Experienced Wage Reduction 32 10 42
      107 47 82
      0
      0
      0
      0
      0
      Type of Job Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      All Occupations 27 100 19 704 8 296
      Professionals 9 333 5 556 4 444
      Service workers and shop and market sales worker 5 185 3 60 2 40
      Plant and machine operators and assemblers 5 185 5 100 0 0
      Trades and related workers 3 111 2 667 1 333
      Officials of government and special interest organization corporate executives managers managing proprietors and supervisors 1 37 1 100 0 0
      Technicians and associate professionals 1 37 1 100 0 0
      Clerks 1 37 1 100 0 0
      Laborers and skilled workers 1 37 1 100 0 0
      Special occupations 1 37 0 0 1 100
      Type of Job No of OFWs
      Professionals A 9
      Service workers and shop and market sales worker B 5
      Plant and machine operators and assemblers C 5
      Trades and related workers D 3
      Others E 5
      ofwfn sex ofwfn
      ELMIDA 2 ELMIDA 0
      FLORES 2 FLORES 0
      LILIA 2 LILIA 0
      ALONA 2 ALONA 0
      NOREEN 2 NOREEN 0
      MONICA 2 MONICA 0
      CARLITO 1 CARLITO 0
      MA NIMFA 2 MA NIMFA 0
      ELENA 2 ELENA 0
      ISIDRA 2 ISIDRA 0
      FELIZA 2 FELIZA 0
      REMEDIOS 2 REMEDIOS 0
      FELIXBERTO 1 FELIXBERTO 0
      MARTINA 2 MARTINA 0
      VIRGINE 2 VIRGINE 0
      EMILY 2 EMILY 0
      HAYDEE 2 HAYDEE 0
      NENITA 2 NENITA 0
      YOLANDA 2 YOLANDA 0
      EDGARDO 1 EDGARDO 0
      EMMA 2 EMMA 0
      DAN 1 DAN 0
      ROEL 1 ROEL 0
      GENARO 1 GENARO 0
      LINA 2 LINA 0
      ALPHA 2 ALPHA 0
      BLECHA 2 BLECHA 0
      MICHELE 2 MICHELE 0
      ABENCIO 1 ABENCIO 0
      RUBEN 1 RUBEN 0
      ANTONIA 2 ANTONIA 0
      LIZA 2 LIZA 0
      CRISTY 2 CRISTY 0
      SHERYL 2 SHERYL 0
      EVELYN 2 EVELYN 0
      MA GLORIA 2 MA GLORIA 0
      MARIE 2 MARIE 0
      MERIAM 2 MERIAM 0
      FILMA 2 FILMA 0
      ELSIE 2 ELSIE 0
      SHERLYN 2 SHERLYN 0
      MYRNA 2 MYRNA 0
      EVELYN 2 EVELYN 0
      ELDIE 2 ELDIE 0
      VILMA 2 VILMA 0
      CYRIL 2 CYRIL 0
      YOLANDA 2 YOLANDA 0
      JELANIE 2 JELANIE 0
      NOEMA 2 NOEMA 0
      EMMENUEL SR 1 EMMENUEL SR 0
      EMMA 2 EMMA 0
      ANALYN 2 ANALYN 0
      NIDA 2 NIDA 0
      LORNA 2 LORNA 0
      LELIA 2 LELIA 0
      VILMA 2 VILMA 0
      ETHELINDA 2 ETHELINDA 0
      MELANIO 1 MELANIO 0
      MYRNA 2 MYRNA 0
      MARY ANN 2 MARY ANN 0
      EMY 2 EMY 0
      EVA 2 EVA 0
      CONSHITA 2 CONSHITA 0
      LORNA 2 LORNA 0
      EVELYN 2 EVELYN 0
      NILCHA 2 NILCHA 0
      NIDA 2 NIDA 0
      TILLY 2 TILLY 0
      TERESITA 2 TERESITA 0
      NIMFA 2 NIMFA 0
      AGNES 2 AGNES 0
      NIMA 2 NIMA 0
      MARITES 2 MARITES 0
      MARINETTE 2 MARINETTE 0
      NIMFA 2 NIMFA 0
      FREDDIE 1 FREDDIE 0
      FELICITAS 2 FELICITAS 0
      SANDRO JR 1 SANDRO JR 0
      ELMER 1 ELMER 0
      MARIANEY 2 MARIANEY 0
      RIZA 2 RIZA 0
      GLENFORD 1 GLENFORD 0
      JONJIE 1 JONJIE 0
      EDWIN 1 EDWIN 0
      MANOLITO 1 MANOLITO 0
      PAULEEN 2 PAULEEN 0
      MANOLO 1 MANOLO 0
      KATE EDISON 2 KATE EDISON 0
      CIEDWUO 1 CIEDWUO 0
      GISELLE 2 GISELLE 0
      GEMMA 2 GEMMA 0
      ALEX 1 ALEX 0
      NELSA 2 NELSA 0
      ENGELBERT 1 ENGELBERT 0
      JULIET 2 JULIET 0
      HERDOLLY 2 HERDOLLY 0
      JAIME 1 JAIME 0
      WILLIAM 1 WILLIAM 0
      KATHLEEN 2 KATHLEEN 0
      DIOSDADO 1 DIOSDADO 0
      FRANCISCO 1 FRANCISCO 0
      ALBERTO 1 ALBERTO 0
      RHODORA 2 RHODORA 0
      RONALD 1 RONALD 0
      MARLYN 2 MARLYN 0
      ANNALY 2 ANNALY 0
      LUCAS 1 LUCAS 0
      ERLINDA 2 ERLINDA 0
      EDUARDO 1 EDUARDO 0
      FROILAN 1 FROILAN 0
      ELIZALDE 1 ELIZALDE 0
      DOROTHY 2 DOROTHY 0
      LAILA 2 LAILA 0
      PEPE 1 PEPE 0
      DENNIS 1 DENNIS 0
      MARK 1 MARK 0
      ERLINDA 2 ERLINDA 0
      DOMENADOR 1 DOMENADOR 0
      JOVY 2 JOVY 0
      JODY 2 JODY 0
      JAIME JR 1 JAIME JR 0
      LESTER 1 LESTER 0
      MELVIN 1 MELVIN 0
      JOSIE 2 JOSIE 0
      PAMELA 2 PAMELA 0
      ROWELL 1 ROWELL 0
      MERSILITA 2 MERSILITA 0
      DENCIO 1 DENCIO 0
      ROLLY 1 ROLLY 0
      CRIS MICHAEL 1 CRIS MICHAEL 0
      LUZEZY 2 LUZEZY 0
      JIM 1 JIM 0
      MAYMAY 2 MAYMAY 0
      ALLAN 1 ALLAN 0
      ROBERT 1 ROBERT 0
      ANTONIO 1 ANTONIO 0
      MENCHIE 2 MENCHIE 0
      MARCIAL 1 MARCIAL 0
      GINA 2 GINA 0
      RENWALDO 1 RENWALDO 0
      NERISSA 2 NERISSA 0
      GRACE 2 GRACE 0
      FAIDSA 2 FAIDSA 0
      TERISA 2 TERISA 0
      MARK ANTHONY 1 MARK ANTHONY 0
      DARIO 1 DARIO 0
      FATIMA 2 FATIMA 0
      ZORAYDA 2 ZORAYDA 0
      MICHAEL 1 MICHAEL 0
      RUSTY 1 RUSTY 0
      MERLYN 2 MERLYN 0
      PAMELA 2 PAMELA 0
      ROMEL 1 ROMEL 0
      MARK 1 MARK 0
      ALBERT 1 ALBERT 0
      ANNALIZA 2 ANNALIZA 0
      RAMIL 1 RAMIL 0
      THELMA 2 THELMA 0
      FERDINAND 1 FERDINAND 0
      HAROLD 1 HAROLD 0
      SONNY 1 SONNY 0
      ALFREDO 1 ALFREDO 0
      SALVADOR 1 SALVADOR 0
      ARLENE 2 ARLENE 0
      ARTURO 1 ARTURO 0
      OLIVIA 2 OLIVIA 0
      CARLO 1 CARLO 0
      ARMANDO 1 ARMANDO 0
      MARICEL 2 MARICEL 0
      DENNIS 1 DENNIS 0
      AUGOSTO 1 AUGOSTO 0
      SOFIA 2 SOFIA 0
      MICHAEL 1 MICHAEL 0
      ELIZABETH 2 ELIZABETH 0
      ERIC 1 ERIC 0
      ABDUL WAHAB 1 ABDUL WAHAB 0
      RODERICK 1 RODERICK 0
      MATILDE 2 MATILDE 0
      JARIEL 1 6 0
      ROMEO 1 ROMEO 0
      FERDINAND 1 FERDINAND 0
      MARISSA 2 MARISSA 0
      DARWIN 1 DARWIN 0
      DONALD 1 DONALD 0
      RAGIE 1 RAGIE 0
      ARNULFO 1 ARNULFO 0
      EDEN 2 EDEN 0
      EVELYN 2 EVELYN 0
      MARIA LIZA 2 MARIA LIZA 0
      MYRA 2 MYRA 0
      ERWIN 1 ERWIN 0
      OFELIA 2 OFELIA 0
      MARCIAL 1 MARCIAL 0
      CORAZON 2 CORAZON 0
      MARIANO 1 MARIANO 0
      BILLY JOHN 1 BILLY JOHN 0
      NENITA 2 NENITA 0
      MARICEL 2 MARICEL 0
      NEREN 1 NEREN 0
      DAISY 2 DAISY 0
      RUEL 1 RUEL 0
      CLEMENTE 1 CLEMENTE 0
      SALVADOR 1 SALVADOR 0
      GING-GING 2 GING-GING 0
      ARNEL 1 ARNEL 0
      LAURENCE 1 LAURENCE 0
      NORA 2 NORA 0
      JONATHAN 1 JONATHAN 0
      ISIDRO 1 ISIDRO 0
      MYLA 2 MYLA 0
      KRISTINE 2 KRISTINE 0
      WENEFREDO 1 WENEFREDO 0
      FLORDILIZA 2 FLORDILIZA 0
      TERESITA 2 TERESITA 0
      HILARIO 1 HILARIO 0
      ERVIO 1 ERVIO 0
      CRISANTO 1 CRISANTO 0
      JEROME 1 JEROME 0
      REYNALDO 1 REYNALDO 0
      LUISITO 1 LUISITO 0
      ARTURO 1 ARTURO 0
      ARLAN 1 ARLAN 0
      LENAND 1 LENAND 0
      ROMEL 1 ROMEL 0
      JOEL 1 JOEL 0
      GLENN 1 GLENN 0
      BEMEN 1 BEMEN 0
      LAARNI 2 LAARNI 0
      JASIIE 2 JASIIE 0
      GODOFREDO 1 GODOFREDO 0
      MILDRED 2 MILDRED 0
      JAZMIN 2 JAZMIN 0
      ERNESTO 1 ERNESTO 0
      JOSEPH 1 JOSEPH 0
      GERARDO 1 GERARDO 0
      JOAN 2 JOAN 0
      JASON 1 JASON 0
      MANOLITO 1 MANOLITO 0
      REYNALDO 1 REYNALDO 0
      EMIL 1 EMIL 0
      GERARDO SR 1 GERARDO SR 0
      RAEL 1 RAEL 0
      JANICE 2 JANICE 0
      ERLINDA 2 ERLINDA 0
      EMILIANO 1 EMILIANO 0
      CHRISTOPHER 1 CHRISTOPHER 0
      LAURENCE 1 LAURENCE 0
      RENATO 1 RENATO 0
      JEFFERSON 1 JEFFERSON 0
      JOEL 1 JOEL 0
      HENNRY 1 HENNRY 0
      SHERWIN 1 SHERWIN 0
      AMANTE 1 AMANTE 0
      RANDY 1 RANDY 0
      RAUL 1 RAUL 0
      ADAM 1 ADAM 0
      BENIGNO 1 BENIGNO 0
      PATRICK 1 PATRICK 0
      EDUARDO 1 EDUARDO 0
      MELVIN 1 MELVIN 0
      RICARDO 1 RICARDO 0
      ALEXANDER 1 ALEXANDER 0
      NICANDRO 1 NICANDRO 0
      RENATO 1 RENATO 0
      FEDERICO 1 FEDERICO 0
      CATHERINE 2 CATHERINE 0
      ISAGANI 1 ISAGANI 0
      FRANCO 1 FRANCO 0
      MAGTANNGOL 1 MAGTANNGOL 0
      MELINDA 2 MELINDA 0
      JERRY 1 JERRY 0
      JEMUEL 1 JEMUEL 0
      DEAN 2 DEAN 0
      DANILO 1 DANILO 0
      ALEJANDRO 1 ALEJANDRO 0
      DIOSCORO 1 DIOSCORO 0
      YOLANDA 2 YOLANDA 0
      BIENVINIDO 1 BIENVINIDO 0
      NICOMODUS 1 NICOMODUS 0
      RONALD 1 RONALD 0
      MICHAEL 1 MICHAEL 0
      JESSIE 1 JESSIE 0
      JANEL 2 JANEL 0
      ABRAHAM JR 1 ABRAHAM JR 0
      JOJO 1 JOJO 0
      LORETA 2 LORETA 0
      ROGELIO 1 ROGELIO 0
      CHERRY 2 CHERRY 0
      RODERICK 1 RODERICK 0
      CHRISTIAN 1 CHRISTIAN 0
      MARY JANE 2 MARY JANE 0
      LEONILO 1 LEONILO 0
      TOMAS 1 TOMAS 0
      MARK 1 MARK 0
      BERNIE 1 BERNIE 0
      MANUEL 1 MANUEL 0
      CARMELITA 2 CARMELITA 0
      JOEY 1 JOEY 0
      MAUREEN 2 MAUREEN 0
      ARISTOTELLE 1 ARISTOTELLE 0
      FERDINAND 1 FERDINAND 0
      MERVIN 1 MERVIN 0
      MANUEL 1 MANUEL 0
      ROLANDO 1 ROLANDO 0
      ROLLY 1 ROLLY 0
      ROMEL 1 ROMEL 0
      HILARION 1 HILARION 0
      NOEL 1 NOEL 0
      MARLON 1 MARLON 0
      SHIRLEY 2 SHIRLEY 0
      LIRA 2 LIRA 0
      ARMANDO 1 ARMANDO 0
      CESAR 1 CESAR 0
      PABLITO 1 PABLITO 0
      ROBERT 1 ROBERT 0
      ]MARGIE 2 ]MARGIE 0
      ERWIN 1 ERWIN 0
      JAYVEE 1 JAYVEE 0
      PATRICIO 1 PATRICIO 0
      EDWARD 1 EDWARD 0
      CHRISTOPHER 1 CHRISTOPHER 0
      RODOLFO 1 RODOLFO 0
      ROMANO 1 ROMANO 0
      ISAIAS 1 ISAIAS 0
      DELMAR 1 DELMAR 0
      CESAR 1 CESAR 0
      RONELITO 1 RONELITO 0
      CHONA 2 CHONA 0
      ARNOLD 1 ARNOLD 0
      RONALDO 1 RONALDO 0
      EDGARDO 1 EDGARDO 0
      JOMMEL 1 JOMMEL 0
      JERRY 1 JERRY 0
      ROMEO 1 ROMEO 0
      RICARDO 1 RICARDO 0
      ZYRA 2 ZYRA 0
      JOHN FREDIRECK 1 JOHN FREDIRECK 0
      PEARLIE 2 PEARLIE 0
      CARLOS 1 CARLOS 0
      ERVIEL FELIX 1 ERVIEL FELIX 0
      RICARDO 1 RICARDO 0
      ARCHIMEDES 1 ARCHIMEDES 0
      ALFREDO JR 1 ALFREDO JR 0
      JOY 2 JOY 0
      ARIEL 1 ARIEL 0
      TERESITA 2 TERESITA 0
      WILFREDO JR 1 WILFREDO JR 0
      ANTONIO 1 ANTONIO 0
      RUBY 2 RUBY 0
      KRISTINE ANN 2 KRISTINE ANN 0
      OFELIA 2 OFELIA 0
      JOCELYN 2 JOCELYN 0
      RAFAEL 1 RAFAEL 0
      JULIUS 1 JULIUS 0
      LAWRENCE 1 LAWRENCE 0
      LITO 1 LITO 0
      DONNA 2 DONNA 0
      HELEN 2 HELEN 0
      EDGARDO 1 EDGARDO 0
      RODRIGO 1 RODRIGO 0
      MAMERTA JR 1 MAMERTA JR 0
      MANUEL 1 MANUEL 0
      NATIVIDAD 2 NATIVIDAD 0
      SHIELA MARIE 2 SHIELA MARIE 0
      ESTELITA 2 ESTELITA 0
      ARNOLD 1 ARNOLD 0
      DANILO 1 DANILO 0
      NESTOR 1 NESTOR 0
      JULIET 2 JULIET 0
      EDGAR 1 EDGAR 0
      CARLITO 1 CARLITO 0
      WILFREDO 1 WILFREDO 0
      MELCHORA 2 MELCHORA 0
      EMILY 2 EMILY 0
      MICHOYO 1 MICHOYO 0
      ENGKWEE 1 ENGKWEE 0
      EVELYN 2 EVELYN 0
      GLENDA 2 GLENDA 0
      HILDA 2 HILDA 0
      CARMEN 2 CARMEN 0
      AGNES 2 AGNES 0
      ROGELIO 1 ROGELIO 0
      FERDINAN 1 FERDINAN 0
      LARRY 1 LARRY 0
      LEN 2 LEN 0
      MARIA CONCEPCION 2 MARIA CONCEPCION 0
      MARCILA 2 MARCILA 0
      DIVINA 2 DIVINA 0
      GARIZALDE 1 GARIZALDE 0
      JUDITH 2 JUDITH 0
      NIKO 1 NIKO 0
      EDUARDO 1 EDUARDO 0
      JESIE 1 JESIE 0
      EILEEN 2 EILEEN 0
      ERICKSON 1 ERICKSON 0
      GEMMERICK 1 GEMMERICK 0
      ALAN 1 ALAN 0
      EVANGELINE 2 EVANGELINE 0
      NAVIL 1 NAVIL 0
      JERAMINE 1 JERAMINE 0
      RHODORA 2 RHODORA 0
      REYNALDO 1 REYNALDO 0
      TERRY JOY 2 TERRY JOY 0
      DIONA 2 DIONA 0
      NOEMI 2 NOEMI 0
      MINERVA 2 MINERVA 0
      EDGARDO 1 EDGARDO 0
      ROLAND 1 ROLAND 0
      JOSE 1 JOSE 0
      CRISTINA 2 CRISTINA 0
      DOREEN 2 DOREEN 0
      BRYAN 1 BRYAN 0
      SOFRONIA 2 SOFRONIA 0
      PZSTOR 1 PZSTOR 0
      RONALD 1 RONALD 0
      ANTONIO 1 ANTONIO 0
      LOUIE 1 LOUIE 0
      LEVITO 1 LEVITO 0
      ASUNCION 2 ASUNCION 0
      EDWIN 1 EDWIN 0
      BABYLYN 2 BABYLYN 0
      VON 1 VON 0
      JENALYN 2 JENALYN 0
      LEONORA 2 LEONORA 0
      NOLI 1 NOLI 0
      RYAN MARK 1 RYAN MARK 0
      PERCIVAL 1 PERCIVAL 0
      LORENZO A 1 LORENZO A 0
      SIGRID ERCE 1 SIGRID ERCE 0
      ALVIN 1 ALVIN 0
      EMMALYN 2 EMMALYN 0
      ALIAH INGRID 2 ALIAH INGRID 0
      JOSE 1 JOSE 0
      CORAZON 2 CORAZON 0
      MARLYN 2 MARLYN 0
      VINCENTE 1 VINCENTE 0
      BELTRAN 1 BELTRAN 0
      JANET 2 JANET 0
      MARINA 2 MARINA 0
      NOEL 1 NOEL 0
      FLORENTINO 1 FLORENTINO 0
      GILBERTO 1 GILBERTO 0
      RONAN 1 RONAN 0
      VICTORIA 2 VICTORIA 0
      ALFREDO 1 ALFREDO 0
      MARCELA E 2 MARCELA E 0
      ALMA 2 ALMA 0
      RICKY 1 RICKY 0
      MARGARITTA 2 MARGARITTA 0
      LORNA MARLENE 2 LORNA MARLENE 0
      WILLIAM 1 WILLIAM 0
      FELIMON 1 FELIMON 0
      NELSON 1 NELSON 0
      DAISY 2 DAISY 0
      MA TERESA 2 MA TERESA 0
      FRANCISCO 1 FRANCISCO 0
      ARTHURO JR 1 ARTHURO JR 0
      PHILIP JUDAL 1 PHILIP JUDAL 0
      PHILIP JOAN 1 PHILIP JOAN 0
      DANELITH 2 DANELITH 0
      DENNIS 1 DENNIS 0
      RICARDO 1 RICARDO 0
      DAVE 1 DAVE 0
      MAY SHELLY 2 MAY SHELLY 0
      OLIVER 1 OLIVER 0
      ESMERALDO 1 ESMERALDO 0
      JOEL 1 JOEL 0
      JERRY 1 JERRY 0
      EFRIEM 1 EFRIEM 0
      RONALD 1 RONALD 0
      ELVIRA 2 ELVIRA 0
      EUGENIO JR 1 EUGENIO JR 0
      WILFREDO 1 WILFREDO 0
      HUBENCIO 1 HUBENCIO 0
      EDGARDO 1 EDGARDO 0
      BONNE RISA 2 BONNE RISA 0
      FERDINAND 1 FERDINAND 0
      JUANITO 1 JUANITO 0
      JESSIE 1 JESSIE 0
      ANTONIO 1 ANTONIO 0
      PARLIE 2 PARLIE 0
      RANDOLPH 1 RANDOLPH 0
      CEASAR 1 CEASAR 0
      CATHERINE 2 CATHERINE 0
      CHRISTOPHER 1 CHRISTOPHER 0
      LIMUEL 1 LIMUEL 0
      ANALIZA 2 ANALIZA 0
      AMIE 2 AMIE 0
      RODERICK 1 RODERICK 0
      MARICEL 2 MARICEL 0
      MARJORIE 2 MARJORIE 0
      BERNARDO 1 BERNARDO 0
      VICENTE 1 VICENTE 0
      GARITO 1 GARITO 0
      HARLENE 2 HARLENE 0
      HARRIST 1 HARRIST 0
      DONALD 1 DONALD 0
      DONNA 2 DONNA 0
      BRYAN 1 BRYAN 0
      ARMANDO 1 ARMANDO 0
      RITCHELL 1 RITCHELL 0
      ARTHUR 1 ARTHUR 0
      SHIELA ANN 2 SHIELA ANN 0
      PETER LLOYD 1 PETER LLOYD 0
      SAMUEL 1 SAMUEL 0
      CYNTHIA 2 CYNTHIA 0
      ALLAN 1 ALLAN 0
      DENNIS JR 1 DENNIS JR 0
      LEO MARK 1 LEO MARK 0
      IMELDA 2 IMELDA 0
      EDDIE 1 EDDIE 0
      Asia
      Europe
      North America
      Australia
      barangay Freq Percent Cum
      183 3484 535 7468
      201 2947 453 100
      184 2141 329 7797
      194 1534 236 9129
      193 1524 234 8893
      145 1150 177 4927
      191 995 153 8531
      179 939 144 6762
      14 937 144 489
      190 904 139 8378
      172 861 132 6195
      177 850 131 6494
      192 836 128 8659
      46 808 124 1339
      178 804 123 6618
      187 802 123 8144
      165 793 122 5781
      156 755 116 5327
      185 755 116 7913
      197 738 113 9363
      186 702 108 8021
      169 641 098 5956
      199 620 095 9504
      130 615 094 4101
      144 580 089 475
      143 575 088 4661
      65 567 087 2012
      135 529 081 4406
      132 505 078 4218
      148 497 076 5056
      157 497 076 5403
      195 493 076 9205
      66 485 074 2087
      171 479 074 6063
      43 442 068 1157
      90 441 068 2702
      127 419 064 3961
      161 416 064 554
      61 412 063 1835
      4 408 063 15
      72 400 061 23
      182 387 059 6933
      110 380 058 3368
      134 379 058 4325
      180 377 058 682
      108 372 057 3271
      107 364 056 3214
      189 356 055 8239
      181 350 054 6874
      162 345 053 5593
      51 341 052 1469
      153 341 052 5171
      113 338 052 3477
      52 336 052 1521
      100 322 049 3024
      58 321 049 1714
      125 316 049 3878
      133 315 048 4267
      176 313 048 6364
      99 304 047 2974
      137 304 047 4495
      94 299 046 2811
      198 299 046 9409
      147 295 045 498
      196 291 045 9249
      54 289 044 1587
      38 287 044 969
      2 286 044 064
      164 286 044 566
      173 284 044 6239
      200 284 044 9547
      77 282 043 2413
      57 279 043 1665
      123 279 043 3789
      5 278 043 193
      136 275 042 4448
      118 269 041 3645
      175 268 041 6316
      188 266 041 8185
      64 264 041 1925
      111 264 041 3409
      124 261 04 3829
      131 261 04 4141
      166 259 04 5821
      23 257 039 668
      8 254 039 264
      69 253 039 219
      109 250 038 331
      117 246 038 3604
      42 238 037 1089
      98 237 036 2928
      60 235 036 1772
      174 234 036 6274
      67 233 036 2123
      88 232 036 2618
      119 231 035 3681
      62 228 035 187
      40 219 034 1032
      170 217 033 5989
      104 216 033 3112
      97 214 033 2891
      91 207 032 2734
      114 206 032 3509
      115 206 032 354
      70 203 031 2221
      106 198 03 3158
      122 198 03 3746
      47 193 03 1368
      44 190 029 1186
      160 190 029 5476
      32 188 029 836
      39 187 029 998
      68 187 029 2151
      45 183 028 1214
      30 180 028 783
      18 176 027 549
      16 174 027 519
      22 173 027 629
      34 172 026 88
      75 172 026 2361
      96 170 026 2858
      116 169 026 3566
      73 168 026 2326
      155 166 025 5211
      10 164 025 3
      121 160 025 3716
      13 159 024 345
      83 158 024 2519
      159 158 024 5447
      102 157 024 3055
      128 157 024 3985
      3 153 023 087
      19 153 023 573
      31 153 023 807
      103 152 023 3079
      7 147 023 225
      29 147 023 756
      163 147 023 5616
      50 146 022 1417
      37 145 022 925
      53 142 022 1542
      140 141 022 4547
      59 138 021 1736
      41 137 021 1053
      152 137 021 5119
      129 136 021 4006
      95 135 021 2832
      1 129 02 02
      26 127 02 708
      80 127 02 2466
      92 126 019 2753
      158 126 019 5423
      167 126 019 5841
      79 125 019 2447
      126 125 019 3897
      138 125 019 4514
      81 123 019 2485
      21 122 019 602
      55 122 019 1606
      86 121 019 2568
      33 114 018 853
      71 114 018 2239
      84 113 017 2536
      36 111 017 903
      168 110 017 5857
      56 109 017 1622
      89 108 017 2634
      48 106 016 1384
      112 106 016 3425
      151 106 016 5098
      105 105 016 3128
      28 98 015 733
      154 96 015 5186
      63 95 015 1885
      87 94 014 2582
      78 93 014 2427
      141 88 014 456
      150 87 013 5081
      85 86 013 2549
      142 83 013 4573
      93 80 012 2766
      12 76 012 321
      9 75 012 275
      149 75 012 5068
      24 72 011 679
      139 71 011 4525
      20 69 011 583
      120 69 011 3691
      25 64 01 689
      49 64 01 1394
      27 63 01 718
      6 62 01 202
      82 61 009 2494
      74 58 009 2335
      11 55 008 309
      76 55 008 237
      146 50 008 4935
      101 49 008 3031
      35 41 006 886
      15 24 004 493
      17 19 003 522
      Total 65116 100
      TYPE OF EXPENDITURE DIRECTION OF CHANGE
      Increase Remained the Same Decrease Not Applicable Prop-Increase Pro-Same Prop -decrease
      Food 1970 1054 236 - 3260 604 323 72
      Clothing 756 1739 765 - 3260 232 533 235
      Cooking Fuel 952 1893 415 - 3260 292 581 127
      Electricity 1715 1013 206 - 2934 585 345 70
      Water 804 1610 176 670 2590 310 622 68
      Education 545 1135 142 1438 1822 299 623 78
      Health 725 1451 436 648 2612 278 556 167
      Communication 578 1413 544 725 2535 228 557 215
      Transportation 570 1699 498 493 2767 206 614 180
      Recreation 223 1205 760 1072 2188 102 551 347
      Saudi Arabia
      United States of America
      Qatar
      United Kingdom
      Italy
      Others
      Q12004
      Q2
      Q3
      Q4
      Q12005
      Q2
      Q3
      Q4
      Q12006
      Q2
      Q3
      Q4
      Q12007
      Q2
      Q3
      Q4
      Q12008
      Q2
      Q3
      Q4
      Q12009
      Q2
      Q3
      Number Percent
      Shifted to generic drugscheaper drug brands 1184 338
      Used medicinal plantsherbal medicines 995 284
      Shifted to government health centers and hospitals 760 217
      Resorted to self-medication 710 203
      Shifted to alternative medicine 445 127
      Lessened the availment of medical treatment for any illness 183 52
      Reduced prescribed drug intake 176 50
      Did not buy medicine 172 49
      Did not seek medical treatment for any illness 153 44
      Discontinued intake of prescribed medicine 94 27
      Others 62 18
      No of Students No of Withdrawn Children
      Male 2273 39 17
      Female 2094 20 10
      Total 4368 59 14
      No of Students No of Children who Shifted from Private to Public School
      Male 2234 18 08
      Female 2074 15 07
      Total 3974 33 08
      Coping Strategies Total
      Magnitude Proportion
      Borrowed money 1401 400
      Used savings 455 130
      Sold assets 68 19
      Pawned assets 166 47
      Coping Strategies Total
      Magnitude Proportion
      Looked for additional work 219 63
      Did additional work 167 48
      Employed members not previously working 65 19
      Looked for work abroad 53 15
      No of Employed Persons With Wage Reduction With Reduced Working Hours With Reduced Benefits
      No No No
      Male 3155 47 15 37 12 5 016
      Female 1891 36 19 36 19 3 016
      Total 5046 83 16 73 14 8 016
      Indicator Magnitude Proportion
      HHs with significant change in the monthly income from the business 158 87
      Increase 33 209
      Decrease 125 791
      HHs with significant change in the no of employed persons in the business 6 03
      Increase 3 50
      Decrease 3 50
      Indicator Magnitude Proportion
      HHs engaged in new entrepreneurial activity 75 21
      HHs engaged in an entrepreneurial activity 1817 519
      HHs which closed a business 19 10
      Country No of OFWs
      Saudi Arabia 16
      USA 4
      Hong Kong SAR 4
      Qatar 3
      Singapore 2
      DPRK 2
      Others 8
      Unspecified 3
      Total 42
      Country No of OFWs
      Saudi Arabia 7
      USA 4
      Qatar 3
      UK 3
      Italy 2
      Others 9
      Total 28
      No Barangay MunicipalityCity Province No of HHs
      1 Brgy 192 Pasay City NCR 856
      2 Poblacion III Sto Tomas Batangas 466
      3 Villa Angeles Orion Bataan 354
      4 Salvacion Puerto Princesa City Palawan 237
      5 Masikap Puerto Princesa City Palawan 227
      6 Gumamela Labo Camarines Norte 432
      7 San Vicente Santa Elena Camarines Norte 225
      8 Ando Borongan Eastern Samar 174
      9 San Miguel Llorente Eastern Samar 269
      10 Magbangon Cabucgayan Biliran 259

PEP Vision and Objectives

VisionPEP is a global network of developing country researchers with the skills and reputation to participate in and influence national and international academic and policy debates on poverty issues

ObjectivesBetter understand the causes and consequences of povertyPropose pro-poor policies and programsImprove the measurement and monitoring of povertyStrengthen local research capacity on poverty issuesDevelop new concepts and techniques for poverty analysis

PEP A decade of policy research and development

Engage a critical mass of researchers in developing countriesFoster comparative analyses across countries and teamsProvide systematic training and technical assistance Increase visibility dissemination and policy impactInteract and share knowledge with the other PEP programs and projects and with related national and international initiativesComprised of 4 sub networks ndash MPIA PMMA CBMS and PIERINumber of projects ndash 111

Research Themes

MPIAEconomic GrowthPublic Spending especially on education and healthSectoral policies particularly agriculturePoverty reduction policiesLabor markets (migration education gender regulation)

CBMSPoverty monitoringTargetingGender responsive budgetingLocal governanceLocalizing the MDGs

Research Themes

PMMAMultidimensional poverty analysis Public spending and its impact on poverty and equity Growth and poverty dynamics Policy impact analysisIntra-household allocation of well-being

PIERIEducationHealthSocial protection

Financial Crisis ImpactsCBMS MPIA PMMA

PEP Network

Core funders ndash IDRC CIDA AusAIDMain partner institutions - AKI Philippines CRES Senegal GRADE in Peru Laval SANEM OPHI IFPRICollaboration with the UN

Support for CBMS implementation in the Philippines and Kenya CBMS-UNDP Development GrantsGender responsive budgeting with UNIFEM in PeruUNICEF commissioned study on the impact of GFC on child povertyPreparation of Provincial MDG reports for presentation in September 2010 meeting in New York

MPIA Crisis Impact Studies

CGE modelling integrated with household survey data microsimulationTransmission channels

Trade Remittances Foreign direct investment Aid flows (Countercyclical fiscal policy)

Household consumption and welfare fall particularly poor households Bangladesh

Garment exports and manufacturing sector declinedDecline in agricultural sector and overall GDP some expansion in total exportsPoorer households appear to be the major victims

MPIA Crisis Impact Studies - Preliminary results

PakistanDeclines of FDI ( 28) foreign portfolio investment (128) exports (13) ODA (613)Sharp decline in development spending particularly health education population and social security serious challenges for MDG realizationExport declines hit high income earners drop in ODA was harsh on the poor

PhilippinesGarment exports and manufacturing sector declinedHousehold consumption and welfare fall particularly poor householdsDecline in agricultural sector and overall GDP some expansion in total exportsPoorer households appear to be the major victims

KEY FEATURES OF CBMS

Involves a census of all households in a communityLocal government unit (LGU)‐based while promoting community participationTaps existing LGU‐personnelcommunity members as monitorsEstablishes database at each geopolitical levelHas a core set of indicators but system is flexible enough to accommodate additional indicatorsFrequent rapid quickly processed and available resultsInexpensive and paid mostly by local governments (more advanced systems like Philippines)

National

Provincial

MunicipalCity

Village

Administrative Structure Information AvailabilityCBMS can fill

the gap

National surveys

CBMS

Decentralization creates new information demands that may be best satisfied with CBMS

Survival

Security

Enabling

bullHealthbullFood amp NutritionbullH20 amp Sanitation

bullShelterbullPeace amp Order

bullIncomebullEmploymentbullEducation

1 Child deaths (0-5 yrs old)2 Women deaths due to pregnancy

-related causes 3 Malnourished children (0-5 yrs old)4 HHs wo access to safe water5 HHs wo access sanitary toilet

6 HHs who are squatters7 HHs living in makeshift housing8 HHs victimized by crimes

9 HHs wincome below poverty threshold10 HHs wincome below food threshold11 HHs who experienced food shortage12 Unemployment13 Elementary school participation14 High school participation

CBMS Indicators Dimensions of Poverty Core Indicators

CBMS Core Indicators

USES OF CBMS

Empowers community by building its capacity to participate in diagnosing the problem offering solutions and monitoring the impact of these solutions Enriches existing databases both at the local and national levelsEnhances the preparation of socioeconomic profiles as well as development and investment plansImproves the allocation of resources by making it easier to prioritize interventions based on the local poverty diagnosisIncreases equity in resource allocation between communities and households as well as between men and womenHelps to monitor the impact of projects and programs thus contributing to poverty reduction efforts Helps in analyzing the impact of economic shocks (eg price shocks and global crisis)

CBMS Coverage

AsiaBangladeshCambodiaIndonesiaLao PDRPakistanPhilippinesVietnam

Latin AmericaPeru

AfricaBeninBurkina FasoGhanaKenyaNigeriaSenegalTanzaniaZambia

IICARI

III

IV-B

IV-A

V

VIII

VI

VII

X

CARAGA

XI

IX

ARMMXII

NCR

166298 341

226

353

235

328

330

298

314

315

249

226

312

327

340

Underweight children 0-5 years old0 - 20 (Significantly below average)201 - 276 (Below average)277 - 33 (Above average)331 - 100 (Significantly above average)

Source FNRI NNS 2003

N

04022010 15

Malnourished Children 0-5 years old by regions

04022010 16

Proportion of children aged 0-5 years old who are malnourished by municipalityProvince of Marinduque 2005

Source CBMS Survey 2005

Proportion of children aged 0-5 years old who are malnourished by barangay Province of Marinduque 2005

Source CBMS Survey 2005

04022010

Proportion of children aged 0-5 years old who are malnourished by purok and location of householdsMunicipality of Torrijos Marinduque 2005

18

Source CBMS Survey 2005

Monitoring the Impact of the crisis using CBMS

I ObjectivesII Why use CBMSIII Impact of the Global Financial

CrisisIV Mitigation ProgramsV Conclusion and

Recommendations

OBJECTIVES OF THE STUDY

1 To monitor the impact of the global financial and economic crisis on poverty in the Philippines

2 To identify coping strategies of households

3 To determine who benefits from government programs aimed at mitigating the impact of the crisis

4 To provide inputs to policymakers in prioritizing mitigating measures to address the impact of the crisis on poverty

Why use CBMS

Data from existing surveys are too aggregatedSurveys on poverty are conducted too infrequently ndash data when they become available cannot be used as basis for timely responseAbsence of data on coping strategies of householdsLack of data on access to government programs

TREND IN GDP

Decreasing trend in GDP growth starting Q3 of 2007

Source NSCB

Growth in Real GDP 2004-2009

0020

4060

80100

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Q1

Q2

Q3

2004 2005 2006 2007 2008 2009

Period

Gro

wth

Rat

e (

)

TREND IN EXPORTS

There is an increasing trend in volume of exports starting March 2009 but year-on-year growth is still in negative territory

Levels and Growth Rates of Exports 2007-2009

2000

2500

3000

3500

4000

4500

5000

Jan

Feb

Mar

Apr

May

Jun Jul

Aug

Sep Oct

Nov

Dec

Jan

Feb

Mar

Apr

May

Jun Jul

Aug

Sep Oct

Nov

Dec

Jan

Feb

Mar

Apr

May

Jun Jul

Aug

Sep

2007 2008 2009

FOB

valu

e (in

milli

on U

S do

llars

)

-50

-40

-30

-20

-10

0

10

20

30

Growth rate year-on-year ()

Source NSO

TREND IN UNEMPLOYMENT RATE

uarr in unemployment rate by 03 percentage points in January 2009 (y-o-y) uarr in unemployment rate by 02 percentage points in

July 2009 (y-o-y)

Unemployment 2007-2009

60

65

70

75

80

85

Jan Apr Jul Oct Jan Apr Jul Oct Jan Apr Jul

2007 2008 2009

Period

Unem

ploy

men

t Rat

e (

)

Source NSO

TREND IN LABOR TURNOVER RATESLabor Turnover 2007-2009

-20

-10

00

10

20

30

40

50

60

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2

2007 2008 2009

All Sectors

Manufacturing

Source BLES

Labor turnover rate for all sectors started to decline in Q2 of 2008 with the manufacturing sector posting negative turnover rate in Q1 of 2009

TREND IN OFW REMITTANCES

OFW remittances continue to exhibit general upward trend but year-on-year growth rates had slumped compared to previous years

Source BSP

Levels and Growth Rates of Overseas Filipinos Remittances (2007-2009)

1000

1100

1200

1300

1400

1500

1600

Jan Fe Ma Apr

Ma Jun Jul

Au Se Oct

No De Jan Fe Ma Apr

Ma Jun Jul

Au Se Oct

No De Jan Fe Ma Apr

Ma Jun Jul

Au Se

2007 2008 2009

Period

Am

ount

(in

mill

ion

USD

)

0

5

10

15

20

25

30

35

Gro

wth

Rat

e (

)

Amount

Grow thrate y ear-on-y ear

TREND IN OFW DEPLOYMENTOFW Deployment 2007-2009

200000

220000

240000

260000

280000

300000

320000

340000

360000

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1

2007 2008 2009

Period

Tota

l Dep

loym

ent

-300

-200

-100

00

100

200

300

400

500

600

Grow

th R

ate (

Y-O-

Y)

Total number of deployed OFWS increased in 2008 but growth rate (y-o-y) declined during the 2H of 2008

Source POEA

RELEVANT TRANSMISSION CHANNELS FOR THE PHILIPPINES

1 Overseas Employment and Remittance

2 Local EmploymentA Entrepreneurial ActivitiesB Wage Earners and Salaried Workers

DATA FROM CBMS

1 Outcome Indicators (Overseas Employment and Remittances Local Employment)

2 Impact Indicators (CBMS Core Indicators)3 Indicators of Coping Mechanisms (Expenses

on Food Utilities Education Health Transportation Communication and Recreation Sale and pawning of assets Borrowing money Seeking additional source of

income)4 Access to Programs

COVERAGE

No Barangay MunicipalityCity Province No of HHs1 Brgy 192 Pasay City NCR 8562 Poblacion III Sto Tomas Batangas 4663 Villa Angeles Orion Bataan 3544 Salvacion Puerto Princesa City Palawan 2375 Masikap Puerto Princesa City Palawan 2276 Gumamela Labo Camarines Norte 4327 San Vicente Santa Elena Camarines Norte 2258 Ando Borongan Eastern Samar 1749 San Miguel Llorente Eastern Samar 269

10 Magbangon Cabucgayan Biliran 259

Population of 15161 in 3499 households in 10 barangays

Italy71

Saudi Arabia250

USA143

Qatar107

UK107

Others321

Many of the retrenched workers used to work in private households health and social work and manufacturing sectors

RESULTS On Overseas Employment and RemittancesA Returning OFWs because of Retrenchment (By Country)

CountryNo of OFWs

Saudi Arabia 7USA 4Qatar 3UK 3Italy 2Others 9Total 28

Source CBMS Survey 2009

RESULTS On Overseas Employment and RemittancesB Wage Reduction among OFWs (By Country)

Qatar71

Singapore48

DPRK48

Saudi Arabia381

Others191

Unspecified71

USA95

Hong Kong SAR95

Most common reasons for wage reduction is reduction in working hours firm cutting costs and firm ncurring losses

Country No of OFWs

Saudi Arabia 16USA 4Hong Kong SAR 4Qatar 3Singapore 2DPRK 2Others 8Unspecified 3Total 42

Source CBMS Survey 2009

RESULTS On Local Employment

A Opening of New Business and Closing of Existing Business

Entrepreneurial Activities

Source CBMS Survey 2009

Indicator Magnitude Proportion

HHs engaged in new entrepreneurial activity 75 21

HHs engaged in an entrepreneurial activity 1817 519

HHs which closed a business 19 10

RESULTS On Local EmploymentB Change in the Number of Employed Persons and Amount of Monthly Income from the Business

Source CBMS Survey 2009

Indicator Magnitude Proportion

HHs with significant change in the monthly income from the business 158 87

Increase 33 209Decrease 125 791

HHs with significant change in the no of employed persons in the business 6 03

Increase 3 50Decrease 3 50

RESULTS On Local EmploymentA Loss of Job By Sector

19 of those in the labor force lost their jobs

One fifth of the affected individuals used to work in the manufacturing industry

There was no reported job loss linked to the agricultural sector

Source CBMS Survey 2009

Industry No Manufacturing 22 202Private households with employed person 15 138Education 12 110Other community social and personal service activities 9 83Wholesale amp retail trade repair of motor vehicles 8 73Hotels and restaurants

8 73Transport storage and communication 7 64Public administration and defense compulsory social security 7 64Financial intermediation 5 46Health and social work

4 37Construction 4 37Electricity gas and water supply 3 28Mining and quarrying 2 18Real estate renting and business activities

2 18Extra-territorial organizations and bodies 1 09Total 109 1000

RESULTS On Local EmploymentB Reduction in wage Number of Working Hours and Employment Benefits

With Wage Reduction

With Reduced Working Hours

With Reduced Benefits

No of Employed Persons

No No No Male 3155 47 15 37 12 5 016Female 1891 36 19 36 19 3 016Total 5046 83 16 73 14 8 016

Source CBMS Survey 2009

Almost half of those workers who experienced wage reduction are employed as plant and machine operators and assemblers About 20 are service workers and shop amp market sales workers

Generating Panel Data Using CBMSDefinition of same household over time

In CBMS a household in 1st round is the same with the household in the 2nd round if it has at least one common member in both the survey periods living in the dwelling unit for the specified time

What is the main purpose of Panel Data

bullHelpful in monitoring the status of each household over time through analysis of several phenomena such as dimensions of poverty

RESULTS Panel Data13+1 Core Indicators Brgy 192 Pasay City 2005 and 2009

Source CBMS Survey 2009

C B M S C o r e I n d ic a t o r s 2 0 0 5 2 0 0 9 H e a lt h a n d N u t r i t io n P r o p o r t i o n o f c h il d r e n a g e d 0 - 4 y e a r s o l d w h o d i e d 0 0 0 0 P r o p o r t i o n o f w o m e n w h o d i e d d u e to p r e g n a n c y r e l a t e d c a u s e s 0 0 0 0 P r o p o r t i o n o f c h il d r e n a g e d 0 - 5 y e a r s o l d w h o a r e m a ln o u r is h e d 0 0 1 8 S h e l t e r P r o p o r t i o n o f h o u s e h o l d s li v in g i n m a k e s h if t h o u s in g 0 3 3 1 P r o p o r t i o n o f h o u s e h o l d s th a t a r e s q u a t te r s b 0 0 4 3 2 W a t e r a n d S a n i ta t io n P r o p o r t i o n o f h o u s e h o l d s w i th o u t a c c e s s to s a fe w a t e r s u p p l y 3 7 0 6 P r o p o r t i o n o f h o u s e h o l d s w i th o u t a c c e s s to s a n it a r y t o i le t f a c i li t i e s 0 0 0 0 E d u c a t io n P r o p o r t i o n o f c h il d r e n a g e d 6 - 1 2 y e a r s o l d w h o a r e n o t a t t e n d i n g e le m e n ta r y s c h o o l 1 2 8 1 9 1

P r o p o r t i o n o f c h il d r e n a g e d 1 3 - 1 6 y e a r s o ld w h o a re n o t a t t e n d i n g s e c o n d a r y s c h o o l 2 3 3 2 3 8

In c o m e P r o p o r t i o n o f h o u s e h o l d s w i th i n c o m e b e lo w th e p o v e r t y th r e s h o ld 8 3 9 9 P r o p o r t i o n o f h o u s e h o l d s w i th i n c o m e b e lo w th e f o o d (s u b s i s te n c e ) t h r e s h o ld 2 2 2 8

P r o p o r t i o n o f h o u s e h o l d s th a t e x p e r i e n c e d f o o d s h o r ta g e 0 6 1 5 E m p lo y m e n t P r o p o r t i o n o f p e r s o n s w h o a r e u n e m p lo y e d 1 7 5 1 2 6 P e a c e a n d O r d e r P r o p o r t i o n o f p e r s o n s w h o w e r e v i c t im s o f c ri m e s 0 0 0 4

fo r

83 (2005)

Proportion of households with income below the poverty threshold 99 (2009)

RESULTS Coping Strategies

Seeking Additional Source of Income

The most common coping strategies adopted by the households is trying to look for work Having a secondary job was also commonly adopted coping mechanism among households surveyed

Source CBMS Survey 2009

TotalCoping Strategies Magnitude ProportionLooked for additional work 219 63Did additional work 167 48Employed members not previously working 65 19Looked for work abroad 53 15

RESULTS Coping Strategies

Tapping various fund sources

The most common coping strategies adopted by the households is borrowing money

Source CBMS Survey 2009

TotalCoping Strategies Magnitude Proportion

Borrowed money 1401 400Used savings 455 130Sold assets 68 19Pawned assets 166 47

No No No No Members who are studying used second-hand uniformshoes 212 508 120 12 246 272 578 165Reduced allowance for members who are studying 104 249 123 123 201 222 428 122Members who are studying used second-hand books 147 353 115 115 159 176 421 120Withdrawn children from school 5 12 21 21 35 39 61 17Shifted from private vehicleschool bus to commuting 11 26 34 34 12 13 61 17Others 8 19 12 12 13 14 33 09Transferred children from private school to public school 8 19 21 21 3 03 32 09Members who are studying skipped classes 5 12 6 06 13 14 24 07Transferred children from daycare to homecare 0 0 5 05 2 02 7 02

TotalCoping Strategies Urban NCR Urban Outside NCR Rural

RESULTS Coping StrategiesEducation

Source CBMS Survey 2009

Most common strategies adopted

2 Reduced allowance400 (122)

3 Second-hand books336 (120)

1 Hand-me-down uniforms496 (18)

RESULTS Coping Strategies

A Shifting of Children from Private School to Public School

About 08 of students who were studying in a private school in the past school year moved to a public school in the coming school year (ie 2009-10)

No of Students

No of Children who Shifted from Private to Public

School Male 2234 18 08Female 2074 15 07Total 3974 33 08Source CBMS Survey 2009

RESULTS Coping Strategies

B Withdrawal of Children from School

No of Students

No of Withdrawn Children

Male 2273 39 17Female 2094 20 10Total 4368 59 14

About 14 of students who were studying were withdrawn from school in the coming school year (ie 2009-10)

Including those who are withdrawn in the coming school yearSource CBMS Survey 2009

RESULTS Coping StrategiesHealth

Source CBMS Survey 2009

Number PercentShifted to generic drugscheaper drug brands 1184 338Used medicinal plantsherbal medicines 995 284Shifted to government health centers and hospitals 760 217Resorted to self-medication 710 203Shifted to alternative medicine 445 127Lessened the availment of medical treatment for any illness 183 52Reduced prescribed drug intake 176 50Did not buy medicine 172 49Did not seek medical treatment for any illness 153 44Discontinued intake of prescribed medicine 94 27Others 62 18

RESULTS Access to Programs

Some government programs

Comprehensive Livelihood and Emergency Employment Programs (CLEEP)

Pantawid Pamilyang Pilipino Program (conditional cash transfer)

NFA Rice access program (price subsidy)

Self-Employment Assistance-Kaunlaran(SEA-K) (credit)

Philhealth Sponsored Programs (health insurance)

RESULTS Access to ProgramsA Access to NFA Rice Program

Source CBMS Survey 2009

Not all HHs in the lowest income quintile were able to access the program Yet there were households in the richest quintile who were able to benefit from the program

Income Quintile Magnitude

of HHs in the Income Quintile who were able to

access1 482 6892 375 5363 258 3694 165 2365 87 124

Total 1367 391

RESULTS Access to NFA Rice Program

Source Authorsrsquo calculations

489 of all households who access the program are considered non-poor 356 of

poor households were not able to access the program

SITE LEAKAGE RATE EXCLUSION RATEALL SITES 489 356Rural 388 228Urban NCR 878 446Urban Area Outside NCR 416 479

CONCLUSION AND RECOMMENDATIONS

GOOD NEWS

The impact was not as large as initially anticipated Modest increase in poverty is expected from the GFC

BAD NEWS

Coupled with the impact of rice and fuel price shocks in 2008 and the recent natural calamities povertyincidence is expected to go up significantly in 2009Rice prices have not gone down to pre-price shock levels Fuel prices have declined since the peak in 2008 but have started to go up again

CONCLUSION AND RECOMMENDATIONS

In response to the crisis households adoptedvarious coping strategies some of which may have long-term adverse effects in the long-run

Preliminary results on access to government programs suggest the need to improve program design and targeting efficiency

Need to put in place local monitoring system to provide basis for timely response

Implications on achieving the MDGs

Results imply greater challenges to reach some of the MDGs

Goal 1Halve income poverty by 2015Achieve full employmentHalve the proportion of people who suffer from hunger

Goal 2 ndash Achieve universal access to educationGoal 3 ndash Promote gender equalityGoal 4 ndash Reduce child mortality

Next steps Collaboration

PEP collaboration with UNESCAP and other UN agenciesbull What are the potential areas of common interestbull Involvement through other existing networks such as ARTNeT and

the Social Protection in Asia networkbull Involvement of UN Commissions in PEP conferences (eg

ECAAddis) PEP studies on crisis to be completed and presentedin Dakar on June 12-18

bull Conference in September on the impacts of the GFC implications and future priorities

Other potential collaborationMDG monitoringMacroeconomic policyRisk mitigation and social protection Labour markets and MigrationFiscal Policy and Accountability

Next steps Collaboration

Feeding evidence to policymakers in Asia ndash example evaluation of conditional cash transfersResearch to Policy and Practice (R2PP)

Learning from best practice and sharing of experiences eg Vietnamese Economics Research Network and ECNABuilding capacity for communicating research results to policy makers

Research Networks as Platforms for collaborationSocial Protection in AsiaARTNeTPEPDevelopment Analysis Network in the GMSEnvironmental Economics Program in South East AsiaLIRNE AsiaGlobal Development Network EADN

Next steps Collaboration

Other institutional platforms for joint cooperationASEAN APEC on regional integrationGMSSAARCERIA ADBI Policy Research Institutions Tsinghua LKY UNU-WIDER

Other Suggestions

Thank YouDr W R Spence

Economic and Social Development Affiliatesrspencegmailcom

Dr Celia ReyesPEPshyCBMS Network Office (Asia)

Angelo King Institute for Economic and Business StudiesEmail at reyescdlsshycsbeduphWebsite wwwpepshynetorg

Dr Evan DueInternational Development Research Centre

edueidrcorgsg

  • ANALYZING AND MONITORING THE IMPACT OF THE GLOBAL FINANCIAL CRISIS
  • Outline of Presentation
  • PEP Vision and Objectives
  • PEP A decade of policy research and development
  • Research Themes
  • Research Themes
  • PEP Network
  • MPIA Crisis Impact Studies
  • MPIA Crisis Impact Studies - Preliminary results
  • KEY FEATURES OF CBMS
  • USES OF CBMS
  • CBMS Coverage
  • Monitoring the Impact of the crisis using CBMS
  • OBJECTIVES OF THE STUDY
  • Why use CBMS
  • TREND IN GDP
  • TREND IN EXPORTS
  • TREND IN UNEMPLOYMENT RATE
  • TREND IN LABOR TURNOVER RATES
  • TREND IN OFW REMITTANCES
  • TREND IN OFW DEPLOYMENT
  • RELEVANT TRANSMISSION CHANNELS FOR THE PHILIPPINES
  • DATA FROM CBMS
  • COVERAGE
  • RESULTS On Overseas Employment and Remittances
  • RESULTS On Overseas Employment and Remittances
  • RESULTS On Local Employment
  • RESULTS On Local Employment
  • RESULTS On Local Employment
  • RESULTS On Local Employment
  • Generating Panel Data Using CBMS
  • RESULTS Panel Data
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Coping Strategies
  • RESULTS Access to Programs
  • RESULTS Access to Programs
  • RESULTS Access to NFA Rice Program
  • CONCLUSION AND RECOMMENDATIONS
  • CONCLUSION AND RECOMMENDATIONS
  • Implications on achieving the MDGs
  • Next steps Collaboration
  • Next steps Collaboration
  • Next steps Collaboration
  • Thank You
    • ANALYZING AND MONITORING THE IMPACT OF THE GLOBAL FINANCIAL CRISIS

      William Randall Spence

      Evan Due

      Celia Reyes

      Outline of Presentation

      What is PEP

      Modeling and Policy Impact Analysis (MPIA) Studies of Crisis Impacts

      Community Based Monitoring Systems (CBMS) Study of Crisis Impacts Coping Mechanisms and Government responses in the Philippines

      Next Steps

      PEP Vision and Objectives

      Vision

      PEP is a global network of developing country researchers with the skills and reputation to participate in and influence national and international academic and policy debates on poverty issues

      Objectives

      Better understand the causes and consequences of poverty

      Propose pro-poor policies and programs

      Improve the measurement and monitoring of poverty

      Strengthen local research capacity on poverty issues

      Develop new concepts and techniques for poverty analysis

      PEP A decade of policy research and development

      Engage a critical mass of researchers in developing countries

      Foster comparative analyses across countries and teams

      Provide systematic training and technical assistance

      Increase visibility dissemination and policy impact

      Interact and share knowledge with the other PEP programs and projects and with related national and international initiatives

      Comprised of 4 sub networks ndash MPIA PMMA CBMS and PIERI

      Number of projects ndash 111

      Research Themes

      MPIA

      Economic Growth

      Public Spending especially on education and health

      Sectoral policies particularly agriculture

      Poverty reduction policies

      Labor markets (migration education gender regulation)

      CBMS

      Poverty monitoring

      Targeting

      Gender responsive budgeting

      Local governance

      Localizing the MDGs

      Research Themes

      PMMA

      Multidimensional poverty analysis

      Public spending and its impact on poverty and equity

      Growth and poverty dynamics

      Policy impact analysis

      Intra-household allocation of well-being

      PIERI

      Education

      Health

      Social protection

      Financial Crisis Impacts

      CBMS MPIA PMMA

      PEP Network

      Core funders ndash IDRC CIDA AusAID

      Main partner institutions - AKI Philippines CRES Senegal GRADE in Peru Laval SANEM OPHI IFPRI

      Collaboration with the UN

      Support for CBMS implementation in the Philippines and Kenya

      CBMS-UNDP Development Grants

      Gender responsive budgeting with UNIFEM in Peru

      UNICEF commissioned study on the impact of GFC on child poverty

      Preparation of Provincial MDG reports for presentation in September 2010 meeting in New York

      MPIA Crisis Impact Studies

      CGE modelling integrated with household survey data microsimulation

      Transmission channels

      Trade Remittances Foreign direct investment Aid flows (Countercyclical fiscal policy)

      Household consumption and welfare fall particularly poor households Bangladesh

      Garment exports and manufacturing sector declined

      Decline in agricultural sector and overall GDP some expansion in total exports

      Poorer households appear to be the major victims

      MPIA Crisis Impact Studies - Preliminary results

      Pakistan

      Declines of FDI ( 28) foreign portfolio investment (128) exports (13) ODA (613)

      Sharp decline in development spending particularly health education population and social security serious challenges for MDG realization

      Export declines hit high income earners drop in ODA was harsh on the poor

      Philippines

      Garment exports and manufacturing sector declined

      Household consumption and welfare fall particularly poor households

      Decline in agricultural sector and overall GDP some expansion in total exports

      Poorer households appear to be the major victims

      KEY FEATURES OF CBMS

      Involves a census of all households in a community

      Local government unit (LGU)-based while promoting community participation

      Taps existing LGU-personnelcommunity members as monitors

      Establishes database at each geopolitical level

      Has a core set of indicators but system is flexible enough to accommodate additional indicators

      Frequent rapid quickly processed and available results

      Inexpensive and paid mostly by local governments (more advanced systems like Philippines)

      10

      National

      Provincial

      MunicipalCity

      Village

      Administrative Structure

      Information Availability

      CBMS can fill the gap

      National surveys

      CBMS

      Decentralization creates new information demands that may be best satisfied with CBMS

      11

      Survival

      Security

      Enabling

      Health

      Food amp Nutrition

      H20 amp Sanitation

      Shelter

      Peace amp Order

      Income

      Employment

      Education

      1 Child deaths (0-5 yrs old)

      2 Women deaths due to pregnancy

      -related causes

      3 Malnourished children (0-5 yrs old)

      4 HHs wo access to safe water

      5 HHs wo access sanitary toilet

      6 HHs who are squatters

      7 HHs living in makeshift housing

      8 HHs victimized by crimes

      9 HHs wincome below poverty threshold

      10 HHs wincome below food threshold

      11 HHs who experienced food shortage

      12 Unemployment

      13 Elementary school participation

      14 High school participation

      CBMS IndicatorsDimensions of PovertyCore Indicators

      CBMS Core Indicators

      12

      Harmonization of CBMS and the MDG

      By continuous consultation workshops and advocacy with national agencies and local governments 13 core indictors were established and finalized for national and local monitoring purposes With the inclusion of the indicator on maternal deaths the CBMS core indicator was adopted as the set of core indicators for the MDG localization here in the Philippines

      The core indicators are categorized under the 8 major dimensions of poverty such as health food and nutrition water and sanitation shelter peace and order income employment and education These are set of poverty measurements which are in turn classified as survival security and enabling needs LGUs may add other indicators or use proxy indicators to monitor area-specific concerns

      Uses of CBMS

      Empowers community by building its capacity to participate in diagnosing the problem offering solutions and monitoring the impact of these solutions

      Enriches existing databases both at the local and national levels

      Enhances the preparation of socioeconomic profiles as well as development and investment plans

      Improves the allocation of resources by making it easier to prioritize interventions based on the local poverty diagnosis

      Increases equity in resource allocation between communities and households as well as between men and women

      Helps to monitor the impact of projects and programs thus contributing to poverty reduction efforts

      Helps in analyzing the impact of economic shocks (eg price shocks and global crisis)

      13

      CBMS Coverage

      Asia

      Bangladesh

      Cambodia

      Indonesia

      Lao PDR

      Pakistan

      Philippines

      Vietnam

      Latin America

      Peru

      Africa

      Benin

      Burkina Faso

      Ghana

      Kenya

      Nigeria

      Senegal

      Tanzania

      Zambia

      2212010

      15

      Malnourished Children 0-5 years old by regions

      2212010

      16

      Proportion of children aged 0-5 years old who are malnourished by municipality

      Province of Marinduque 2005

      Source CBMS Survey 2005

      Proportion of children aged 0-5 years old who are malnourished by barangay

      Province of Marinduque 2005

      Source CBMS Survey 2005

      2212010

      18

      Proportion of children aged 0-5 years old who are malnourished by purok and location of households

      Municipality of Torrijos Marinduque 2005

      Source CBMS Survey 2005

      Monitoring the Impact of the crisis using CBMS

      Objectives

      Why use CBMS

      Impact of the Global Financial Crisis

      Mitigation Programs

      Conclusion and Recommendations

      19

      OBJECTIVES OF THE STUDY

      To monitor the impact of the global financial and economic crisis on poverty in the Philippines

      To identify coping strategies of households

      To determine who benefits from government programs aimed at mitigating the impact of the crisis

      To provide inputs to policymakers in prioritizing mitigating measures to address the impact of the crisis on poverty

      Why use CBMS

      Data from existing surveys are too aggregated

      Surveys on poverty are conducted too infrequently ndash data when they become available cannot be used as basis for timely response

      Absence of data on coping strategies of households

      Lack of data on access to government programs

      TREND IN GDP

      Decreasing trend in GDP growth starting Q3 of 2007

      Source NSCB

      TREND IN EXPORTS

      There is an increasing trend in volume of exports starting March 2009 but year-on-year growth is still in negative territory

      Source NSO

      TREND IN UNEMPLOYMENT RATE

      uarr in unemployment rate by 03 percentage points in January 2009 (y-o-y)

      uarr in unemployment rate by 02 percentage points in July 2009 (y-o-y)

      Source NSO

      TREND IN LABOR TURNOVER RATES

      All Sectors

      Manufacturing

      Labor turnover rate for all sectors started to decline in Q2 of 2008 with the manufacturing sector posting negative turnover rate in Q1 of 2009

      Source BLES

      TREND IN OFW REMITTANCES

      OFW remittances continue to exhibit general upward trend but year-on-year growth rates had slumped compared to previous years

      Source BSP

      TREND IN OFW DEPLOYMENT

      Total number of deployed OFWS increased in 2008 but growth rate (y-o-y) declined during the 2H of 2008

      Source POEA

      RELEVANT TRANSMISSION CHANNELS FOR THE PHILIPPINES

      Overseas Employment and Remittance

      Local Employment

      A Entrepreneurial Activities

      B Wage Earners and Salaried Workers

      28

      DATA FROM CBMS

      Outcome Indicators (Overseas Employment and Remittances Local Employment)

      Impact Indicators (CBMS Core Indicators)

      Indicators of Coping Mechanisms (Expenses on Food Utilities Education Health Transportation Communication and Recreation Sale and pawning of assets Borrowing money Seeking additional source of income)

      Access to Programs

      29

      COVERAGE

      Population of 15161 in 3499 households in 10 barangays

      30

      RESULTS On Overseas Employment and Remittances

      A Returning OFWs because of Retrenchment (By Country)

      Many of the retrenched workers used to work in private households health and social work and manufacturing sectors

      Source CBMS Survey 2009

      31

      Most of the retrenched workers used to work in private households health and social work and manufacturing sectors

      RESULTS On Overseas Employment and Remittances

      B Wage Reduction among OFWs (By Country)

      Most common reasons for wage reduction is reduction in working hours firm cutting costs and firm ncurring losses

      Source CBMS Survey 2009

      32

      Most of the affected OFWs are working as service workers and shop and market sales workers

      The most common reason reported for the reduction in wage is the reduction in working hours firms cutting costs and firms incurring losses

      RESULTS On Local Employment

      A Opening of New Business and Closing of Existing Business

      Entrepreneurial Activities

      Source CBMS Survey 2009

      33

      RESULTS On Local Employment

      B Change in the Number of Employed Persons and Amount of Monthly Income from the Business

      Source CBMS Survey 2009

      34

      RESULTS On Local Employment

      A Loss of Job By Sector

      19 of those in the labor force lost their jobs

      One fifth of the affected individuals used to work in the manufacturing industry

      There was no reported job loss linked to the agricultural sector

      Source CBMS Survey 2009

      35

      RESULTS On Local Employment

      B Reduction in wage Number of Working Hours and Employment Benefits

      Source CBMS Survey 2009

      Almost half of those workers who experienced wage reduction are employed as plant and machine operators and assemblers About 20 are service workers and shop amp market sales workers

      36

      Generating Panel Data Using CBMS

      Definition of same household over time

      In CBMS a household in 1st round is the same with the household in the 2nd round if it has at least one common member in both the survey periods living in the dwelling unit for the specified time

      What is the main purpose of Panel Data

      Helpful in monitoring the status of each household over time through analysis of several phenomena such as dimensions of poverty

      37

      RESULTS Panel Data

      13+1 Core Indicators Brgy 192 Pasay City 2005 and 2009

      Source CBMS Survey 2009

      83 (2005)

      Proportion of households with income below the poverty threshold

      99 (2009)

      38

      RESULTS Coping Strategies

      Seeking Additional Source of Income

      The most common coping strategies adopted by the households is trying to look for work Having a secondary job was also commonly adopted coping mechanism among households surveyed

      Source CBMS Survey 2009

      39

      RESULTS Coping Strategies

      Tapping various fund sources

      The most common coping strategies adopted by the households is borrowing money

      Source CBMS Survey 2009

      40

      RESULTS Coping Strategies

      Education

      Source CBMS Survey 2009

      Most common strategies adopted

      2 Reduced allowance

      400 (122)

      3 Second-hand books

      336 (120)

      1 Hand-me-down uniforms

      496 (18)

      41

      RESULTS Coping Strategies

      A Shifting of Children from Private School to Public School

      About 08 of students who were studying in a private school in the past school year moved to a public school in the coming school year (ie 2009-10)

      Source CBMS Survey 2009

      42

      RESULTS Coping Strategies

      B Withdrawal of Children from School

      About 14 of students who were studying were withdrawn from school in the coming school year (ie 2009-10)

      Including those who are withdrawn in the coming school year

      Source CBMS Survey 2009

      43

      RESULTS Coping Strategies

      Health

      Source CBMS Survey 2009

      44

      RESULTS Access to Programs

      Some government programs

      Comprehensive Livelihood and Emergency Employment Programs (CLEEP)

      Pantawid Pamilyang Pilipino Program (conditional cash transfer)

      NFA Rice access program (price subsidy)

      Self-Employment Assistance-Kaunlaran

      (SEA-K) (credit)

      Philhealth Sponsored Programs (health insurance)

      45

      RESULTS Access to Programs

      A Access to NFA Rice Program

      Source CBMS Survey 2009

      Not all HHs in the lowest income quintile were able to access the program Yet there were households in the richest quintile who were able to benefit from the program

      46

      RESULTS Access to NFA Rice Program

      Source Authorsrsquo calculations

      489 of all households who access the program are considered non-poor

      356 of poor households were not able to access the program

      47

      CONCLUSION AND RECOMMENDATIONS

      GOOD NEWS

      The impact was not as large as initially anticipated Modest increase in poverty is expected from the GFC

      BAD NEWS

      Coupled with the impact of rice and fuel price shocks in 2008 and the recent natural calamities poverty

      incidence is expected to go up significantly in 2009

      Rice prices have not gone down to pre-price shock levels Fuel prices have declined since the peak in 2008 but have started to go up again

      48

      CONCLUSION AND RECOMMENDATIONS

      In response to the crisis households adopted

      various coping strategies some of which may

      have long-term adverse effects in the long-run

      Preliminary results on access to government programs suggest the need to improve program design and targeting efficiency

      Need to put in place local monitoring system to provide basis for timely response

      49

      Implications on achieving the MDGs

      Results imply greater challenges to reach some of the MDGs

      Goal 1

      Halve income poverty by 2015

      Achieve full employment

      Halve the proportion of people who suffer from hunger

      Goal 2 ndash Achieve universal access to education

      Goal 3 ndash Promote gender equality

      Goal 4 ndash Reduce child mortality

      Next steps Collaboration

      PEP collaboration with UNESCAP and other UN agencies

      What are the potential areas of common interest

      Involvement through other existing networks such as ARTNeT and the Social Protection in Asia network

      Involvement of UN Commissions in PEP conferences (eg ECAAddis) PEP studies on crisis to be completed and presented in Dakar on June 12-18

      Conference in September on the impacts of the GFC implications and future priorities

      Other potential collaboration

      MDG monitoring

      Macroeconomic policy

      Risk mitigation and social protection

      Labour markets and Migration

      Fiscal Policy and Accountability

      Next steps Collaboration

      Feeding evidence to policymakers in Asia ndash example evaluation of conditional cash transfers

      Research to Policy and Practice (R2PP)

      Learning from best practice and sharing of experiences eg Vietnamese Economics Research Network and ECNA

      Building capacity for communicating research results to policy makers

      Research Networks as Platforms for collaboration

      Social Protection in Asia

      ARTNeT

      PEP

      Development Analysis Network in the GMS

      Environmental Economics Program in South East Asia

      LIRNE Asia

      Global Development Network EADN

      Next steps Collaboration

      Other institutional platforms for joint cooperation

      ASEAN APEC on regional integration

      GMS

      SAARC

      ERIA ADBI

      Policy Research Institutions Tsinghua LKY

      UNU-WIDER

      Other Suggestions

      Thank You

      Dr W R Spence

      Economic and Social Development Affiliates

      rspencegmailcom

      Dr Celia Reyes

      PEP-CBMS Network Office (Asia)

      Angelo King Institute for Economic and Business Studies

      Email at reyescdls-csbeduph

      Website

      Dr Evan Due

      International Development Research Centre

      edueidrcorgsg

      image2png

      image3png

      image4wmf

      I

      I

      C

      A

      R

      I

      I

      I

      I

      I

      V

      -

      B

      I

      V

      -

      A

      V

      V

      I

      I

      I

      V

      I

      V

      I

      I

      X

      C

      A

      R

      A

      G

      A

      X

      I

      I

      X

      A

      R

      M

      M

      X

      I

      I

      N

      C

      R

      1

      6

      6

      2

      9

      8

      3

      4

      1

      2

      2

      6

      3

      5

      3

      2

      3

      5

      3

      2

      8

      3

      3

      0

      2

      9

      8

      3

      1

      4

      3

      1

      5

      2

      4

      9

      2

      2

      6

      3

      1

      2

      3

      2

      7

      3

      4

      0

      U

      n

      d

      e

      r

      w

      e

      i

      g

      h

      t

      c

      h

      i

      l

      d

      r

      e

      n

      0

      -

      5

      y

      e

      a

      r

      s

      o

      l

      d

      0

      -

      2

      0

      (

      S

      i

      g

      n

      i

      f

      i

      c

      a

      n

      t

      l

      y

      b

      e

      l

      o

      w

      a

      v

      e

      r

      a

      g

      e

      )

      2

      0

      1

      -

      2

      7

      6

      (

      B

      e

      l

      o

      w

      a

      v

      e

      r

      a

      g

      e

      )

      2

      7

      7

      -

      3

      3

      (

      A

      b

      o

      v

      e

      a

      v

      e

      r

      a

      g

      e

      )

      3

      3

      1

      -

      1

      0

      0

      (

      S

      i

      g

      n

      i

      f

      i

      c

      a

      n

      t

      l

      y

      a

      b

      o

      v

      e

      a

      v

      e

      r

      a

      g

      e

      )

      S

      o

      u

      r

      c

      e

      F

      N

      R

      I

      N

      N

      S

      2

      0

      0

      3

      N

      image5png

      image6png

      image7png

      image8png

      image9png

      image10png

      image11emf

      Growth in Real GDP 2004-2009

      00

      20

      40

      60

      80

      100

      Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3

      200420052006200720082009

      Period

      Growth Rate ()

      Microsoft_Office_Excel_97-2003_Worksheet1xls

      Chart1

      Period
      Growth Rate ()
      Growth in Real GDP 2004-2009
      71529376518
      70971917832
      56334090248
      57579353406
      45052369793
      51201849162
      46798602194
      54191318263
      5498076131
      52739168734
      51543573711
      54299165723
      68889919615
      83375916605
      68383428107
      63386321647
      39222542035
      41604513911
      45587676212
      28543926548
      0593589474
      14516133597
      07623973192

      return_count

      No of OFWs
      No of retrenched OFWs
      USA15
      UK 11
      7
      4
      3
      3
      2
      8

      Sheet1

      pasay_HHs_brgy

      retr_region

      No of OFWs
      15
      6
      5
      1

      Sheet5

      OFW_lost_occu

      OFW_lost_occu

      No of OFWs

      RW_OFW

      RW_OFW

      No of OFWs
      Qatar71
      Singapore48
      DPRK48
      Saudi Arabia381
      Others191
      Unspecified71
      USA95
      Hong Kong SAR95

      ret_country

      No of OFWs
      Male76
      Female24

      lostjob_dom

      No

      gdp (3)

      gdp (3)

      Retrenched OFWs
      Retrenched OFWs

      losjob_industry

      lost_job_code

      lost_job_code

      Period
      Growth Rate ()
      Growth in Real GDP 2004-2009

      retren_industry

      access to programs

      access to programs

      Magnitude

      RH_dom

      RH_dom

      No

      Sheet4

      RW_dom

      red_benf

      coping

      sum

      gdp (2)

      Sheet7

      lostjob

      lostjob

      Real GDP
      Period
      Amount in billion pesos
      Real GDP 2003-2009

      gdp

      privtopub

      withSY

      Chart1_turnover

      turnover

      ret_region

      All Sectors
      Manufacturing
      156
      -046
      357
      03
      331
      -008
      287
      081
      476
      386
      199
      0
      205
      -037
      069
      01
      027
      -138
      221
      224

      access to programs (2)

      image12emf

      Levels and Growth Rates of Exports 2007-2009

      2000

      2500

      3000

      3500

      4000

      4500

      5000

      Jan

      Feb

      Mar

      Apr

      May

      Jun

      Jul

      Aug

      Sep

      Oct

      NovDec

      Jan

      Feb

      Mar

      Apr

      May

      Jun

      Jul

      Aug

      Sep

      Oct

      NovDec

      Jan

      Feb

      Mar

      Apr

      May

      Jun

      Jul

      Aug

      Sep

      200720082009

      FOB value (in million US dollars)

      -50

      -40

      -30

      -20

      -10

      0

      10

      20

      30

      Growth rate year-on-year ()

      Microsoft_Office_Excel_97-2003_Worksheet2xls

      Chart4

      FOB Value
      Growth rate year-on-year
      FOB value (in million US dollars)
      Growth rate year-on-year ()
      Levels and Growth Rates of Exports 2007-2009
      398694
      218
      371731
      78
      447754
      73
      411732
      51
      412164
      61
      411669
      15
      418799
      43
      410407
      -4
      437254
      46
      464836
      105
      39475
      -21
      447244
      214
      423056
      6
      411201
      105
      419313
      -66
      432472
      49
      422412
      23
      451341
      88
      443723
      44
      439296
      66
      443865
      11
      397104
      -148
      351297
      -114
      267458
      -403
      251119
      -406
      250629
      -391
      290673
      -308
      280311
      -352
      308786
      -269
      34063
      -248
      331077
      -254
      347289
      -21
      363398
      -183

      Sheet1

      Sheet1

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      0
      0
      1

      Sheet2

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances

      Sheet3

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances

      Sheet4

      Sheet5

      Sheet6

      Sheet6

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      10994
      1264036
      1
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      Unemployment Rate
      Period
      Unemployment Rate ()
      Unemployment (2004-2009)

      image13emf

      Unemployment 2007-2009

      60

      65

      70

      75

      80

      85

      JanAprJulOctJanAprJulOctJanAprJul

      200720082009

      Period

      Unemployment Rate ()

      Microsoft_Office_Excel_97-2003_Worksheet3xls

      Chart1

      Period
      Unemployment Rate ()
      Unemployment 2007-2009
      78
      74
      78
      63
      74
      8
      74
      68
      77
      75
      76

      Sheet1

      Sheet1

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      0
      0
      1

      Sheet2

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances

      Sheet3

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances

      Sheet4

      Sheet5

      Sheet6

      Sheet6

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      10994
      1264036
      1
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      Unemployment Rate
      Period
      Unemployment Rate ()
      Unemployment (2004-2009)
      Period
      Unemployment Rate ()
      Unemployment 2007-2009

      image14emf

      Labor Turnover 2007-2009

      -20

      -10

      00

      10

      20

      30

      40

      50

      60

      Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2

      200720082009

      Microsoft_Office_Excel_97-2003_Worksheet4xls

      return_count

      No of OFWs
      No of retrenched OFWs
      USA15
      UK 11
      7
      4
      3
      3
      2
      8

      Sheet1

      pasay_HHs_brgy

      retr_region

      No of OFWs
      15
      6
      5
      1

      Sheet5

      OFW_lost_occu

      OFW_lost_occu

      No of OFWs
      9
      5
      5
      3
      5

      RW_OFW

      RW_OFW

      No of OFWs
      Qatar71
      Singapore48
      DPRK48
      Saudi Arabia381
      Others191
      Unspecified71
      USA95
      Hong Kong SAR95
      16
      4
      4
      3
      2
      2
      8
      3

      ret_country

      No of OFWs
      Male76
      Female24
      32
      10

      lostjob_dom

      No
      13
      6
      6
      6
      5
      6

      gdp (3)

      gdp (3)

      Retrenched OFWs
      Retrenched OFWs
      19
      8

      losjob_industry

      lost_job_code

      lost_job_code

      Growth Rate
      Period
      Growth Rate ()
      Growth in Real GDP 2004-2009
      71529376518
      70971917832
      56334090248
      57579353406
      45052369793
      51201849162
      46798602194
      54191318263
      5498076131
      52739168734
      51543573711
      54299165723
      68889919615
      83375916605
      68383428107
      63386321647
      39222542035
      41604513911
      45587676212
      28543926548
      0593589474
      14516133597

      retren_industry

      access to programs

      access to programs

      Magnitude

      RH_dom

      RH_dom

      No
      6
      5
      4
      3
      3
      2
      4

      Sheet4

      RW_dom

      red_benf

      coping

      sum

      gdp (2)

      Sheet7

      lostjob

      lostjob

      Real GDP
      Period
      Amount in billion pesos
      Real GDP 2003-2009
      253672
      264189
      264671
      302539
      271817
      282939
      279581
      319959
      284063
      297426
      292665
      337298
      299681
      313112
      30775
      355613
      320326
      339218
      328795
      378154
      33289
      353331
      343784
      388948
      334866
      35846

      gdp

      privtopub

      withSY

      Chart1_turnover

      turnover

      ret_region

      All Sectors
      Manufacturing
      Labor turnover rates ()
      Labor Turnover 2007-2009
      156
      -046
      357
      03
      331
      -008
      287
      081
      476
      386
      199
      0
      205
      -037
      069
      01
      027
      -138
      221
      224

      access to programs (2)

      image15emf

      Levels and Growth Rates of Overseas Filipinos Remittances (2007-2009)

      1000

      1100

      1200

      1300

      1400

      1500

      1600

      Jan

      Fe

      MaAprMa

      Jun

      Jul

      Au

      Se

      Oct

      NoDe

      Jan

      Fe

      MaAprMa

      Jun

      Jul

      Au

      Se

      Oct

      NoDe

      Jan

      Fe

      MaAprMa

      Jun

      Jul

      Au

      Se

      200720082009

      Period

      Amount (in million USD)

      0

      5

      10

      15

      20

      25

      30

      35

      Growth Rate ()

      Amount

      Growth

      rate year-

      on-year

      Microsoft_Office_Excel_97-2003_Worksheet5xls

      Chart5

      Amount
      Growth rate year-on-year
      Period
      Amount (in million USD)
      Growth Rate ()
      Levels and Growth Rates of Overseas Filipinos Remittances (2007-2009)
      10994
      199
      10855
      254
      13048
      264
      119154
      326
      123714
      84
      1115753
      1
      1096558
      46
      1206942
      106
      1139845
      124
      1388459
      171
      118697
      38
      1396976
      59
      1264036
      15
      1258638
      159
      1427807
      94
      141021
      184
      1429832
      156
      1450838
      30
      1366796
      246
      1332023
      104
      1332912
      169
      1434726
      33
      1311322
      105
      14077
      08
      1265515
      01
      1320032
      49
      1471482
      31
      1441741
      22
      1482175
      37
      1498737
      33
      1494038
      93
      1369084
      28
      1447
      86

      Sheet1

      Sheet1

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      10994
      1264036
      1

      Sheet2

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances
      10994
      199
      10855
      254
      13048
      264
      119154
      326
      123714
      84
      1115753
      1
      1096558
      46
      1206942
      106
      1139845
      124
      1388459
      171
      118697
      38
      1396976
      59
      1264036
      15
      1258638
      159
      1427807
      94
      141021
      184
      1429832
      156
      1450838
      30
      1366796
      246
      1332023
      104
      1332912
      169
      1434726
      33
      1311322
      105
      14077
      08
      1265515
      01
      1320032
      49
      1471482
      31
      1441741
      22
      1482175
      37
      1498737
      33
      1494038
      93
      1369084
      28

      Sheet3

      Amount
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Overseas Filipinos Remittances
      10994
      199
      10855
      254
      13048
      264
      119154
      326
      123714
      84
      1115753
      1
      1096558
      46
      1206942
      106
      1139845
      124
      1388459
      171
      118697
      38
      1396976
      59
      1264036
      15
      1258638
      159
      1427807
      94
      141021
      184
      1429832
      156
      1450838
      30
      1366796
      246
      1332023
      104
      1332912
      169
      1434726
      33
      1311322
      105
      14077
      08
      1265515
      01
      1320032
      49
      1471482
      31
      1441741
      22
      1482175
      37
      1498737
      33
      1494038
      93
      1369084
      28
      1447
      86

      Sheet4

      Sheet5

      Sheet6

      Sheet6

      Jan
      Feb
      Mar
      Apr
      May
      Jun
      Month
      Level
      Overseas Filipinos Remittances (2004-2009)
      1
      1
      1
      10994
      1264036
      1
      FOB Value
      Growth rate year-on-year
      in million US dollars
      Levels and Growth Rates of Exports (2007-2009)
      FOB Value
      Growth rate year-on-year
      Unemployment Rate

      image16emf

      OFW Deployment 2007-2009

      200000

      220000

      240000

      260000

      280000

      300000

      320000

      340000

      360000

      Q1Q2Q3Q4Q1Q2Q3Q4Q1

      200720082009

      Period

      Total Deployment

      -300

      -200

      -100

      00

      100

      200

      300

      400

      500

      600

      Growth Rate (Y-O-Y)

      Microsoft_Office_Excel_97-2003_Worksheet6xls

      monthly total

      monthly total

      New hires
      15592
      24125
      28212
      19947
      25864
      24320
      32275
      27012
      33009
      26967
      28569
      27368
      19202
      28982
      19140
      27651
      35935
      38535
      38075
      30389
      40062
      34662
      34238
      30102

      Sheet2

      2007 - Total
      2008 - Total
      2007 - Landbased
      2008 - Landbased
      2007 - New hires
      2008 - New hires
      2007 - Rehires
      2008 - Rehires
      2007 - Seabased
      2008 - Seabased
      69409
      106053
      51892
      87841
      15592
      19202
      36300
      68639
      17517
      18212
      65359
      86181
      46311
      64644
      24125
      28982
      22186
      35662
      19048
      21537
      80015
      61979
      58069
      43921
      28212
      19140
      29857
      24781
      21946
      18058
      78493
      94747
      57085
      74446
      19947
      27651
      37138
      46795
      21408
      20301
      89500
      125919
      66918
      103434
      25864
      35935
      41054
      67499
      22582
      22485
      96948
      123483
      77403
      100617
      24320
      38535
      53083
      62082
      19545
      22866
      114720
      118185
      89942
      93891
      32275
      38075
      57667
      55816
      24778
      24294
      105492
      117712
      81716
      95019
      27012
      30389
      54704
      64630
      23776
      22693
      98794
      112781
      74495
      89714
      33009
      40062
      41486
      49652
      24299
      23067
      89608
      102037
      65133
      78441
      26967
      34662
      38166
      43779
      24475
      23596
      93947
      100352
      66808
      74712
      28569
      34238
      38239
      40474
      27139
      25640
      95337
      86584
      75298
      67719
      27368
      30102
      47930
      37617
      20039
      18865

      Sheet3

      2006 - Total
      2007 - Total
      2008 - Total
      2006 - Landbased
      2007 - Landbased
      2008 - Landbased
      2006 - Seabased
      2007 - Seabased
      2008 - Seabased
      280605
      214783
      254213
      211279
      156272
      196406
      69326
      58511
      57807
      294783
      264942
      344149
      224683
      201406
      278497
      70100
      63536
      65652
      265788
      319006
      348678
      201998
      246153
      278624
      63790
      72853
      70054
      221391
      278892
      288973
      150110
      207239
      220872
      71281
      71653
      68101

      Chart1_deploy_2007-09

      Total Deployment
      69409
      65359
      80015
      78493
      89500
      96948
      114720
      105492
      98794
      89608
      93947
      95337
      106053
      86181
      61979
      94747
      125919
      123483
      118185
      117712
      112781
      102037
      100352
      86584

      Chart2_deploy_07-09

      07-09data

      07-09data

      New hires
      15592
      24125
      28212
      19947
      25864
      24320
      32275
      27012
      33009
      26967
      28569
      27368
      19202
      28982
      19140
      27651
      35935
      38535
      38075
      30389
      40062
      34662
      34238
      30102

      total deployment

      2006 - Total
      2007 - Total
      2008 - Total
      2006 - Landbased
      2007 - Landbased
      2008 - Landbased
      2006 - Seabased
      2007 - Seabased
      2008 - Seabased
      280605
      214783
      254213
      211279
      156272
      196406
      69326
      58511
      57807
      294783
      264942
      344149
      224683
      201406
      278497
      70100
      63536
      65652
      265788
      319006
      348678
      201998
      246153
      278624
      63790
      72853
      70054
      221391
      278892
      288973
      150110
      207239
      220872
      71281
      71653
      68101

      landbased

      New hires
      67929
      70131
      92296
      82904
      67324
      102121
      108526
      99002

      new and rehire

      Total Deployment
      Landbased
      Seabased
      214783
      156272
      58511
      264941
      201406
      63535
      319006
      246153
      72853
      278892
      207239
      71653
      254213
      196406
      57807
      344149
      278497
      65652
      348678
      278624
      70054
      288973
      220872
      68101
      283348

      by destination

      Total Deployment
      214783
      264941
      319006
      278892
      254213
      344149
      348678
      288973
      283348
      Total Deployment
      Growth Rate
      Period
      Total Deployment
      Growth Rate (Y-O-Y)
      OFW Deployment 2007-2009
      214783
      -234571728943
      264941
      -101233788923
      319006
      200227248785
      278892
      259726005122
      254213
      183580637201
      344149
      298964675154
      348678
      93013924503
      288973
      36146608723
      283348
      11460861561
      Total Deployment
      Landbased
      Seabased
      214783
      156272
      58511
      264941
      201406
      63535
      319006
      246153
      72853
      278892
      207239
      71653
      254213
      196406
      57807
      344149
      278497
      65652
      348678
      278624
      70054
      288973
      220872
      68101
      283348
      Deployed Landbased
      MIDDLE EAST
      ASIA
      EUROPE
      AMERICAS
      AFRICA
      OCEANIA
      Landbased
      New hires
      Rehires
      156272
      67929
      88343
      201406
      70131
      131275
      246153
      92296
      153857
      207239
      82904
      124335
      196406
      67324
      129082
      278497
      102121
      176376
      278624
      108526
      170098
      220872
      99002
      121870
      Brunei
      Hong Kong
      Japan
      Korea
      Malaysia
      Singapore
      Taiwan
      United Kingdom
      United States of America
      3977
      6517
      1991
      2815
      2390
      10589
      8051
      2037
      1865
      4035
      12719
      2500
      3431
      2307
      11536
      9756
      2538
      1031
      3202
      22833
      2085
      3981
      2174
      11344
      9408
      2547
      3363
      3453
      17100
      2291
      4038
      2854
      15962
      9921
      2403
      3142
      1584
      12498
      1428
      2044
      1873
      8131
      7497
      2523
      1661
      1940
      21725
      1749
      2941
      1766
      12285
      12601
      3051
      1304
      1721
      27698
      2070
      4398
      1273
      10823
      11358
      1964
      2918
      1685
      16424
      1308
      2984
      1122
      10439
      7090
      1770
      2167

      image17wmf

      Italy

      71

      Saudi

      Arabia

      250

      USA

      143

      Qatar

      107

      UK

      107

      Others

      321

      image18wmf

      Qatar

      71

      Singapore

      48

      DPRK

      48

      Saudi

      Arabia

      381

      Others

      191

      Unspecified

      71

      USA

      95

      Hong Kong

      SAR

      95

      image19emf

      Industry

      No

      Manufacturing

      22202

      Private households

      with employed person

      15138

      Education

      12110

      Other community

      social and personal

      service activities

      983

      Wholesale amp retail

      trade repair of motor

      vehicles

      873

      Hotels and restaurants

      873

      Transport storage

      and communication

      764

      Public administration

      and defense

      compulsory social

      security

      764

      Financial

      intermediation

      546

      Health and social work

      437

      Construction

      437

      Electricity gas and

      water supply

      328

      Mining and quarrying

      218

      Real estate renting

      and business activities

      218

      Extra-territorial

      organizations and

      bodies

      109

      Total

      1091000

      Microsoft_Office_Excel_97-2003_Worksheet7xls

      Sheet1

      Sheet2

      Sheet3

      image20wmf

      CBMS Core Indicators

      2005

      2009

      Health and Nutrition

      Proportion of children aged 0

      -

      4 years old who died

      00

      00

      Proportion of women who died due to pregnancy related causes

      00

      00

      Proportion of children aged 0

      -

      5 years old who are malnourished

      00

      18

      Shelter

      Proportion of households living in makeshift housing

      03

      31

      Proportion of households that are squatters

      b

      00

      432

      Water and Sanitation

      Proportion of households without access to safe water supply

      37

      06

      Proportion of households without acce

      ss to sanitary toilet facilities

      00

      00

      Education

      Proportion of children aged 6

      -

      12 years old who are not attending

      elementary school

      128

      191

      Proportion of children aged 13

      -

      16 years old who are not attending

      secondary school

      233

      238

      Income

      Proport

      ion of households with income below the poverty threshold

      83

      99

      Proportion of households with income below the food (subsistence)

      threshold

      22

      28

      Proportion of households that experienced food shortage

      06

      15

      Employment

      Proportion of persons who a

      re unemployed

      175

      126

      Peace and Order

      Proportion of persons who were victims of crimes

      00

      04

      for

      image21wmf

      No

      No

      No

      No

      Members who are studying

      used second-hand

      uniformshoes

      212

      508

      120

      12

      246

      272

      578

      165

      Reduced allowance for

      members who are studying

      104

      249

      123

      123

      201

      222

      428

      122

      Members who are studying

      used second-hand books

      147

      353

      115

      115

      159

      176

      421

      120

      Withdrawn children from

      school

      5

      12

      21

      21

      35

      39

      61

      17

      Shifted from private

      vehicleschool bus to

      commuting

      11

      26

      34

      34

      12

      13

      61

      17

      Others

      8

      19

      12

      12

      13

      14

      33

      09

      Transferred children from

      private school to public

      school

      8

      19

      21

      21

      3

      03

      32

      09

      Members who are studying

      skipped classes

      5

      12

      6

      06

      13

      14

      24

      07

      Transferred children from

      daycare to homecare

      0

      0

      5

      05

      2

      02

      7

      02

      Total

      Coping Strategies

      Urban NCR

      Urban Outside NCR

      Rural

      image22wmf

      Income

      Quintile

      Magnitude

      of HHs in the Income

      Quintile who were able to

      access

      1

      482

      689

      2

      375

      536

      3

      258

      369

      4

      165

      236

      5

      87

      124

      Total

      1367

      391

      image23emf

      SITELEAKAGE RATEEXCLUSION RATE

      ALL SITES489356

      Rural388228

      Urban NCR878446

      Urban Area

      Outside NCR

      416479

      Microsoft_Office_Excel_97-2003_Worksheet8xls

      paper

      paper

      7
      4
      3
      3
      2
      9

      powerpoint

      6
      214285714286
      5
      178571428571
      4
      142857142857
      4
      142857142857
      3
      107142857143
      2
      71428571429
      1
      35714285714
      1
      35714285714
      1
      35714285714
      1
      35714285714

      core indicators

      Sheet1

      coping strategies

      8
      E Technicians amp associate professionals
      109
      Total
      20
      F Others
      15
      D Plant amp machine operators and assemblers
      19
      C Laborers amp skilled workers
      21
      B Professionals
      26
      A Service workers and shop amp market sales workers
      No
      Type of Job

      coping strategies

      Source CBMS Survey 2009

      image24png

      image25jpeg

      image26jpeg

      Coping Strategies Urban NCR Urban Outside NCR Rural Total
      No No No No
      Tapped various fund sources
      Used savings 51 6 267 154 137 151 455 130
      Sold assets 24 28 26 15 18 20 68 19
      Pawned assets 74 86 65 37 27 30 166 47
      Borrowed money 443 518 571 329 387 428 1401 400
      Sought additional source of income
      Looked for additional work 21 25 112 64 86 95 219 63
      Did additional work 9 11 93 54 65 72 167 48
      Employed members not previously working 7 08 46 26 12 13 65 19
      Looked for work abroad 11 13 42 24 0 00 53 15
      Coping strategies in terms of health
      Did not buy medicine 32 37 77 44 63 70 172 49
      Discontinued intake of prescribed medicine 24 28 52 3 18 20 94 27
      Shifted to government health centers and hospitals 222 259 306 176 232 256 760 217
      Shifted to alternative medicine 42 49 240 138 163 180 445 127
      Resorted to self medication 255 298 359 207 96 106 710 203
      Reduced prescribed drug intake 43 5 108 62 25 28 176 50
      Lessened the availment of medical treatment for any illness 34 4 127 73 22 24 183 52
      Did not seek medical treatment for any illness 35 41 75 43 43 48 153 44
      Used medicinal plantsherbal medicines 249 291 421 242 325 359 995 284
      Shifted to generic drugscheaper drug brands 482 563 486 28 216 239 1184 338
      Others 6 07 26 15 30 33 62 18
      Coping strategies in terms of education
      Transferred children from private school to public school 8 19 21 21 3 03 32 09
      Withdrawn children from school 5 12 21 21 35 39 61 17
      Transferred children from daycare to homecare 0 0 5 05 2 02 7 02
      Members who are studying skipped classes 5 12 6 06 13 14 24 07
      Reduced allowance for members who are studying 104 249 123 123 201 222 428 122
      Members who are studying used second-hand books 147 353 115 115 159 176 421 120
      Members who are studying used second-hand uniformshoes 212 508 120 12 246 272 578 165
      Shifted from private vehicleschool bus to commuting 11 26 34 34 12 13 61 17
      Others 8 19 12 12 13 14 33 09
      Type of job No
      A Service workers and shop amp market sales workers
      B Professionals
      C Laborers amp skilled workers
      D Plant amp machine operators and assemblers
      E
      A 26
      B 21
      C 19
      D 15
      E 8
      F 20
      Total 109
      URBAN NCR URBAN OUTSIDE NCR RURAL
      Brgy 192 (Pasay City) Gumamela (Labo Camarines Norte) Villa Angeles (Orion Bataan) Pob III (StoTomas Batangas) Magbangon (Cabucgayan Biliran) Masikap (PPC Palawan) Ando (Borongan Eastern Samar) San Miguel (Llorente Eastern Samar) Salvacion (PPC Palawan) San Vicente (Sta Elena Camarines Norte)
      CBMS Core Indicators 2005 2009 2005 2009 2005 2009 2009 2005 2009 2009 2005 2009 2005 2009 2009 2006 2009
      Health and Nutrition
      Proportion of children aged 0-4 years old who died 0 0 04 04 0 09 04 16 0 11 0 24 08 22 13 06 08
      Proportion of women who died due to pregnancy related causes 0 0 0 12 0 0 09 0 0 0 0 0 0 0 0 0 19
      Proportion of children aged 0-5 years old who are malnourished 0 2 4 04 17 0 03 0 07 81 31 0 16 0 45 128 41
      Shelter
      Proportion of households living in makeshift housing 02 19 1 72 14 06 09 1 08 04 97 23 0 138 17 09 0
      Proportion of households that are squatters 01 301 55 02 0 03 07 1 08 0 57 0 2 3 08 0 04
      Water and Sanitation
      Proportion of households without access to safe water supply 24 11 33 21 6 09 09 17 23 04 06 12 6 11 582 209 147
      Proportion of households without access to sanitary toilet facilities 0 0 83 113 04 45 02 189 39 0 06 64 215 205 139 136 191
      Education
      Proportion of children aged 6-12 years old who are not attending elementary school 136 163 167 217 162 246 175 275 232 203 284 233 206 156 20 16 226
      Proportion of children aged 13-16 years old who are not attending secondary school 233 244 309 402 141 384 361 275 294 329 512 394 342 439 456 415 384
      Income
      Proportion of households with income below the poverty threshold 71 67 456 444 187 122 20 422 568 137 497 523 789 751 295 682 738
      Proportion of households with income below the food (subsistence) threshold 18 18 275 273 95 37 92 239 475 44 354 369 693 699 16 550 569
      Proportion of households that experienced food shortage 07 12 08 02 0 03 3 243 0 04 11 104 56 67 16 0 0
      Employment
      Proportion of persons who are unemployed 151 83 132 56 296 132 81 217 108 137 145 15 361 382 3 74 80
      Peace and Order
      Proportion of persons who were victims of crimes 1 05 13 2 08 09 02 0 0 67 0 0 0 05 3 0 06
      No Barangay MunicipalityCity Province
      1 Villa Angeles Orion Bataan
      2 Poblacion 3 StoTomas Batangas
      3 Magbangon Cabucgayan Biliran
      4 Gumamela Labo Camarines Norte
      5 San Vicente Sta Elena Camarines Norte
      6 Ando Borongan Eastern Samar
      7 San Miguel Llorente Eastern Samar
      8 Masikap Puerto Princesa City Palawan
      9 Salvacion Puerto Princesa City Palawan
      10 Brgy 192 Pasay City National Capital Region
      A A
      B B
      C C
      D D
      E E
      F F
      G G
      H H
      I I
      J J
      Saudi Arabia
      USA
      Qatar
      UK
      Italy
      Others
      Table 1 Total no of households and total population per barangay
      Barangay MunicipalityCity Province Households Population
      No No
      Urban NCR 856 245 2941 194
      192 Pasay City NCR-4 856 245 2941 194
      Urban Outside NCR 1738 497 7729 510
      Gumamela Labo Camarines Norte 432 123 2060 136
      Villa Angeles Orion Bataan 354 101 1401 92
      Poblacion III Santo Tomas Batangas 466 133 2086 138
      Magbangon Cabucgayan Biliran 259 74 1230 81
      Masikap Puerto Princesa City Palawan 227 65 952 63
      Rural 905 259 4491 296
      Ando Borongan Eastern Samar 174 50 892 59
      San Miguel Llorente Eastern Samar 269 77 1372 90
      Salvacion Puerto Princesa City Palawan 237 68 1084 71
      San Vicente Santa Elena Camarines Norte 225 64 1143 75
      Total 3499 1000 15161 1000
      Table 2 Distribution of retrenched OFWs by country
      Country No of Retrenched OFWs
      Saudi Arabia 7
      USA 4
      Qatar 3
      UK 3
      Italy 2
      Others 9
      Total 28
      Male 20
      Female 8
      Source CBMS Survey 2009
      Table 2 Retrenched OFWs by sector
      Industry Total Industry Total
      No No
      A Private households with employed person 6 214 A 6 214
      B Health and social work 5 179 B 5 179
      C Manufacturing 4 143 C 4 143
      D Financial intermediation 4 143 D 4 143
      E Transport storage and communication 3 107 E 3 107
      F Real estate renting and business activity 2 71 F 2 71
      G Hotel and restaurants 1 36 G 1 36
      H Wholesale amp retail trade repair of motor vehicles motorcycles and personal household goods 1 36 H 1 36
      I Other community social and personal service activities 1 36 I 1 36
      J Construction 1 36 J 1 36
      Total 28 100 Total 28 100
      Male 20 714 Male 20 714
      Female 8 286 Female 8 286
      Source CBMS Survey 2009 Source CBMS Survey 2009
      Table 4 OFW who experienced wage reduction by country
      Country Total Male Female
      No No No
      Saudi Arabia 16 372 15 938 1 63
      USA 4 93 4 1000 0 00
      Hong Kong SAR 4 93 1 250 3 750
      Qatar 3 70 2 667 1 333
      Singapore 2 47 2 1000 0 00
      DPRK 2 47 2 1000 0 00
      Others 9 209 4 444 5 556
      Unspecified 3 70 3 1000 0 00
      Total 43 100 33 767 10 233
      Source CBMS Survey 2009
      Table 5 OFW who experienced wage reduction by occupation
      Type of Job Total Male Female
      No No No
      All Occupations 43 1000 33 767 10 233
      Service workers and shop and market sales worker 13 302 9 692 4 308
      Trades and related workers 6 140 5 833 1 167
      Technicians and associate professionals 6 140 5 833 1 167
      Laborers and skilled workers 6 140 4 667 2 333
      Plant and machine operators and assemblers 5 116 4 80 1 20
      Professionals 3 70 2 667 1 333
      Officials of government and special interest organization corporate executives managers managing proprietors and supervisors 2 47 2 100 0 0
      Farmers forestry workers andfisherfolk 1 23 1 100 0 0
      Special occupations 1 23 1 100 0 0
      Source CBMS Survey 2009
      Table 6 Households affected by the crisis through remittances
      Indicator Rural Urban NCR Urban Outside NCR Total
      No No No No
      Households 905 856 1738 3499
      HH with OFW 79 87 71 83 300 173 450 129
      HH who received remittances during the past 6 months 65 823 54 761 234 780 353 784
      HH who experienced a decline in the amount of remittances received 7 89 13 183 20 67 40 89
      HH who experienced a decline in the frequency of receipt of remittances 4 51 9 127 19 63 32 71
      Source CBMS Survey 2009
      Table 7 Labor force statistics
      Statistics Total No Proportion Male Female
      No No
      Population 15 years and over 10394 5123 493 5271 507
      Labor force 5701 548 3508 615 2193 385
      Employed 5046 885 3155 625 1891 375
      Unemployed 655 115 353 539 302 461
      Source CBMS Survey 2009
      Table 8 Outcome Indicators Entrepreneurial Activities 2009
      Indicator Magnitude Proportion
      HHs engaged in new entrepreneurial activity 75 21
      HHs engaged in an entrepreneurial activity 1817 519
      HHs which closed a business 19 10
      HHs with significant change in the monthly income from the business 158 87
      Increase 33 209
      Decrease 125 791
      HHs with significant change in the no of employed persons in the business 6 03
      Increase 3 50
      Decrease 3 50
      Source CBMS Survey 2009
      Table 9 Outcome Indicators Wage Earners and Salaried Workers
      Indicator No
      HH with member who lost job 92 26
      Members who lost job 109 22
      HH with member who experienced wage reduction 74 21
      HH with member who experienced a reduction in number of working hours 65 19
      HH with member who experienced reduction in employment benefits 8 02
      Source CBMS Survey
      Table 10 Members who lost job by occupation
      Type of job No
      Service workers and shop and market sales workers 26 239
      Professionals 21 193
      Laborers and skilled workers 19 174
      Plant and machine operators and assemblers 15 138
      Technicians and associate professionals 8 73
      Others 20 183
      Total 109 1000
      Source CBMS Survey
      Table 11 Members who lost job by industry
      Industry No
      Manufacturing 22 202
      Private households with employed person 15 138
      Education 12 110
      Other community social and personal service activities 9 83
      Wholesale amp retail trade repair of motor vehicles 8 73
      Hotels and restaurants 8 73
      Transport storage and communication 7 64
      Public administration and defense compulsory social security 7 64
      Financial intermediation 5 46
      Health and social work 4 37
      Construction 4 37
      Electricity gas and water supply 3 28
      Mining and quarrying 2 18
      Real estate renting and business activities 2 18
      Extra-territorial organizations and bodies 1 09
      Total 109 1000
      Source CBMS Survey
      Table 12 Members who experienced reduction in wage working hours or employment benefits
      No of Employed Persons With Wage Reduction With Reduced Working Hours With Reduced Benefits
      No No No
      Male 3155 47 15 37 12 5 016
      Female 1891 36 19 36 19 3 016
      Total 5046 83 16 73 14 8 016
      Source CBMS Survey 2009
      Table 13 Households involved in the agriculture sector by site
      Site No of HHs
      Salvacion 208 878
      Ando 125 718
      San Miguel 187 695
      San Vicente 152 676
      Magbangon 139 537
      Gumamela 78 181
      Villa Angeles 19 54
      Masikap 10 44
      Poblacion III 7 15
      Brgy 192 2 02
      Total 927
      Source CBMS Survey 2009
      Table 14 Distribution of households by type of involvement in the agriculture sector
      Type of HHs Agri HHs Non-Agri HHs
      No of HHs 927 2572
      Average income (Php) 227928 744465
      HHs with a decrease in income from agricultural business 27 na
      Note Agri HHs refer to those which are involved in the agriculture sector while Non-Agri HHs refer to those which are NOT involved in the agricultural sector
      Source CBMS Survey 2009
      Table 18 Coping strategies adopted by households
      Coping strategy No
      1) Modified the ff Type of Expenses
      Food 3008 860
      Clothing 2871 821
      Electricity 2668 763
      Fuel 2290 654
      Communication 2138 611
      Health 1996 570
      Water 1785 510
      Recreation 1400 400
      Transportation 1188 340
      Education 875 250
      Coping strategy No
      2) Tapped various fund sources
      Borrowed money 1401 400
      Used savings 455 130
      Pawned assets 166 47
      Sold assets 68 19
      3) Sought additional source of income
      Looked for additional work 219 63
      Did additional work 167 48
      Employed members not previously working 65 19
      Looked for work abroad 53 15
      Source CBMS Survey
      Table 19 Households who were able to access the NFA rice program (10 GFC sites)
      Income Quintile Magnitude of HHs in the Income Quintile who were able to access
      1 482 689
      2 375 536
      3 258 369
      4 165 236
      5 87 124
      Total 1367 391
      Source CBMS Survey
      Table 20 NFA Rice Program Leakage and Exclusion Rates (10 GFC sites)
      SITE LEAKAGE RATE EXCLUSION RATE
      ALL SITES 489 356
      Rural 388 228
      Urban NCR 878 446
      Urban Area Outside NCR 416 479
      Source CBMS Survey
      Industry No
      Manufacturing 22 202
      Private households with employed person 15 138
      Education 12 110
      Other community social and personal service activities 9 83
      Wholesale amp retail trade repair of motor vehicles 8 73
      Hotels and restaurants 8 73
      Transport storage and communication 7 64
      Public administration and defense compulsory social security 7 64
      Financial intermediation 5 46
      Health and social work 4 37
      Construction 4 37
      Electricity gas and water supply 3 28
      Mining and quarrying 2 18
      Real estate renting and business activities 2 18
      Extra-territorial organizations and bodies 1 09
      Total 109 1000
      Industry Total
      No
      A Private households with employed person 6 214
      B Health and social work 5 179
      C Manufacturing 4 143
      D Financial intermediation 4 143
      E Transport storage and communication 3 107
      F Real estate renting and business activity 2 71
      G Hotel and restaurants 1 36
      H Wholesale amp retail trade repair of motor vehicles motorcycles and personal household goods 1 36
      I Other community social and personal service activities 1 36
      J Construction 1 36
      Total 28 100
      Male 20 714
      Female 8 286
      2007Q1 2007Q1 2007Q1 2007Q1 2007Q1 2007Q1 2007Q1 2007Q1 2007Q1
      2007Q2 2007Q2 2007Q2 2007Q2 2007Q2 2007Q2 2007Q2 2007Q2 2007Q2
      2007Q3 2007Q3 2007Q3 2007Q3 2007Q3 2007Q3 2007Q3 2007Q3 2007Q3
      2007Q4 2007Q4 2007Q4 2007Q4 2007Q4 2007Q4 2007Q4 2007Q4 2007Q4
      2008Q1 2008Q1 2008Q1 2008Q1 2008Q1 2008Q1 2008Q1 2008Q1 2008Q1
      2008Q2 2008Q2 2008Q2 2008Q2 2008Q2 2008Q2 2008Q2 2008Q2 2008Q2
      2008Q3 2008Q3 2008Q3 2008Q3 2008Q3 2008Q3 2008Q3 2008Q3 2008Q3
      2008Q4 2008Q4 2008Q4 2008Q4 2008Q4 2008Q4 2008Q4 2008Q4 2008Q4
      Countries that lessen the deployment of OFWs Countries that lessen the deployment of OFWs
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4 2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      MIDDLE EAST 96113 125901 148592 117272 127768 181306 175605 147149 Brunei 3977 4035 3202 3453 1584 1940 1721 1685
      Bahrain 1824 2573 3277 2224 2557 3778 3606 3138 Hong Kong 6517 12719 22833 17100 12498 21725 27698 16424
      Kuwait 9338 9678 9175 8889 7493 11926 11123 8361 Japan 1991 2500 2085 2291 1428 1749 2070 1308
      Lebanon 36 377 52 3 1 6 4 1 Korea 2815 3431 3981 4038 2044 2941 4398 2984
      Libya 1020 1581 1932 1408 1372 2347 1964 2048 Malaysia 2390 2307 2174 2854 1873 1766 1273 1122
      Oman 1529 1758 2185 1991 2087 2746 3202 2187 Singapore 10589 11536 11344 15962 8131 12285 10823 10439
      Qatar 9784 14382 16739 15372 16200 24094 23025 21023 Taiwan 8051 9756 9408 9921 7497 12601 11358 7090
      Saudia Arabia 50732 63676 72099 51912 60038 79163 75225 61507 United Kingdom 2037 2538 2547 2403 2523 3051 1964 1770
      United Arab Emirates 19206 28441 40174 32836 36450 54497 55335 47528 United States of America 1865 1031 3363 3142 1661 1304 2918 2167
      Rest of Middle East 2644 3435 2959 2637 1570 2749 2121 1356
      ASIA 41443 51800 62716 63024 41654 63623 67274 47047
      Brunei 3977 4035 3202 3453 1584 1940 1721 1685
      Hong Kong 6517 12719 22833 17100 12498 21725 27698 16424
      Japan 1991 2500 2085 2291 1428 1749 2070 1308
      Korea 2815 3431 3981 4038 2044 2941 4398 2984
      Malaysia 2390 2307 2174 2854 1873 1766 1273 1122
      Singapore 10589 11536 11344 15962 8131 12285 10823 10439
      Taiwan 8051 9756 9408 9921 7497 12601 11358 7090
      Rest of Asia 5113 5516 7689 7405 6599 8616 7933 5995
      EUROPE 7265 10860 17008 10480 12202 15131 15479 8983
      Cyprus 530 778 861 643 423 674 624 664
      Ireland 1014 1395 1313 1018 1353 1550 1173 840
      Italy 1908 3662 8929 3356 4665 6004 8554 3400
      United Kingdom 2037 2538 2547 2403 2523 3051 1964 1770
      Rest of Europe 1776 2487 3358 3060 3238 3852 3164 2309
      AMERICAS 5318 5385 8534 8782 5882 8494 9148 8392
      Canada 2169 2867 3377 3967 3121 5350 4442 4486
      Cayman Island 148 269 276 310 184 354 246 345
      Diego Garcia 226 151 380 190 8 97 275 198
      United States of America 1865 1031 3363 3142 1661 1304 2918 2167
      Rest of America 910 1067 1138 1173 908 1389 1267 1196
      AFRICA 2472 3329 4190 3135 2814 4129 4942 4549
      Angola 506 718 924 787 699 1038 1272 1280
      Equatorial Gunie 432 506 451 391 337 379 487 451
      Nigeria 386 481 668 66 2 5 4 1
      Sudan 137 256 375 293 230 289 519 316
      Rest of Africa 1011 1368 1772 1598 1546 2418 2660 2501
      2007Q1 2007Q1 2007Q1
      2007Q2 2007Q2 2007Q2
      2007Q3 2007Q3 2007Q3
      2007Q4 2007Q4 2007Q4
      2008Q1 2008Q1 2008Q1
      2008Q2 2008Q2 2008Q2
      2008Q3 2008Q3 2008Q3
      2008Q4 2008Q4 2008Q4
      Deployed Landbased Filipino Workers
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      Landbased 156272 201406 246153 207239 196406 278497 278624 220872
      New hires 67929 70131 92296 82904 67324 102121 108526 99002
      Rehires 88343 131275 153857 124335 129082 176376 170098 121870
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      0 0 0 0 0 0 0
      Deployed Landbased Filipino Workers by Destination
      New hires and Rehires- Consolidated
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      Deployed Landbased 156272 201406 246153 207239 196406 278497 278624 220872
      MIDDLE EAST 96113 125901 148592 117272 127768 181306 175605 147149
      ASIA 41443 51800 62716 63024 41654 63623 67274 47047
      EUROPE 7265 10860 17008 10480 12202 15131 15479 8983
      AMERICAS 5318 5385 8534 8782 5882 8494 9148 8392
      AFRICA 2472 3329 4190 3135 2814 4129 4942 4549
      OCEANIA 2186 2220 3396 2889 4298 3750 4207 2775
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      MIDDLE EAST 96113 125901 148592 117272 127768 181306 175605 147149
      Bahrain 1824 2573 3277 2224 2557 3778 3606 3138
      Kuwait 9338 9678 9175 8889 7493 11926 11123 8361
      Lebanon 36 377 52 3 1 6 4 1
      Libya 1020 1581 1932 1408 1372 2347 1964 2048
      Oman 1529 1758 2185 1991 2087 2746 3202 2187
      Qatar 9784 14382 16739 15372 16200 24094 23025 21023
      Saudia Arabia 50732 63676 72099 51912 60038 79163 75225 61507
      United Arab Emirates 19206 28441 40174 32836 36450 54497 55335 47528
      Rest of Middle East 2644 3435 2959 2637 1570 2749 2121 1356
      ASIA 41443 51800 62716 63024 41654 63623 67274 47047
      Brunei 3977 4035 3202 3453 1584 1940 1721 1685
      Hong Kong 6517 12719 22833 17100 12498 21725 27698 16424
      Japan 1991 2500 2085 2291 1428 1749 2070 1308
      Korea 2815 3431 3981 4038 2044 2941 4398 2984
      Malaysia 2390 2307 2174 2854 1873 1766 1273 1122
      Singapore 10589 11536 11344 15962 8131 12285 10823 10439
      Taiwan 8051 9756 9408 9921 7497 12601 11358 7090
      Rest of Asia 5113 5516 7689 7405 6599 8616 7933 5995
      EUROPE 7265 10860 17008 10480 12202 15131 15479 8983
      Cyprus 530 778 861 643 423 674 624 664
      Ireland 1014 1395 1313 1018 1353 1550 1173 840
      Italy 1908 3662 8929 3356 4665 6004 8554 3400
      United Kingdom 2037 2538 2547 2403 2523 3051 1964 1770
      Rest of Europe 1776 2487 3358 3060 3238 3852 3164 2309
      AMERICAS 5318 5385 8534 8782 5882 8494 9148 8392
      Canada 2169 2867 3377 3967 3121 5350 4442 4486
      Cayman Island 148 269 276 310 184 354 246 345
      Diego Garcia 226 151 380 190 8 97 275 198
      United States of America 1865 1031 3363 3142 1661 1304 2918 2167
      Rest of America 910 1067 1138 1173 908 1389 1267 1196
      AFRICA 2472 3329 4190 3135 2814 4129 4942 4549
      Angola 506 718 924 787 699 1038 1272 1280
      Equatorial Gunie 432 506 451 391 337 379 487 451
      Nigeria 386 481 668 66 2 5 4 1
      Sudan 137 256 375 293 230 289 519 316
      Rest of Africa 1011 1368 1772 1598 1546 2418 2660 2501
      2007Q1 2007Q1 2007Q1
      2007Q2 2007Q2 2007Q2
      2007Q3 2007Q3 2007Q3
      2007Q4 2007Q4 2007Q4
      2008Q1 2008Q1 2008Q1
      2008Q2 2008Q2 2008Q2
      2008Q3 2008Q3 2008Q3
      2008Q4 2008Q4 2008Q4
      2009Q1 2009Q1 2009Q1
      Deployed Filipino Workers by Destination
      New hires and Rehires- Consolidated
      2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4 2009Q1
      Total Deployment 214783 264941 319006 278892 254213 344149 348678 288973 283348
      Landbased 156272 201406 246153 207239 196406 278497 278624 220872
      Seabased 58511 63535 72853 71653 57807 65652 70054 68101
      2007 2008 2009
      Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1
      Total Deployment 280605 294783 265788 221391 214783 264941 319006 278892 254213 344149 348678 288973 283348
      Growth Rate -235 -101 200 260 184 299 93 36 115
      1077622 1236013
      146981965847
      269406 309003
      Q12007 Q12007
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12008 Q12008
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12009 Q12009
      Q12007
      Q2
      Q3
      Q4
      Q12008
      Q2
      Q3
      Q4
      Q12009
      2007Q1 2007Q1 2007Q1
      2007Q2 2007Q2 2007Q2
      2007Q3 2007Q3 2007Q3
      2007Q4 2007Q4 2007Q4
      2008Q1 2008Q1 2008Q1
      2008Q2 2008Q2 2008Q2
      2008Q3 2008Q3 2008Q3
      2008Q4 2008Q4 2008Q4
      2009Q1 2009Q1 2009Q1
      2007Q1
      2007Q2
      2007Q3
      2007Q4
      2008Q1
      2008Q2
      2008Q3
      2008Q4
      Q1 Q1 Q1 Q1 Q1 Q1 Q1 Q1 Q1
      Q2 Q2 Q2 Q2 Q2 Q2 Q2 Q2 Q2
      Q3 Q3 Q3 Q3 Q3 Q3 Q3 Q3 Q3
      Q4 Q4 Q4 Q4 Q4 Q4 Q4 Q4 Q4
      Jan07
      Feb07
      Mar07
      Apr07
      May07
      Jun07
      Jul07
      Aug07
      Sep07
      Oct07
      Nov07
      Dec07
      Jan08
      Feb08
      Mar08
      Apr08
      May08
      Jun08
      Jul08
      Aug08
      Sep08
      Oct08
      Nov08
      Dec08
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07 2007 Q1 Q2 Q3 Q4
      Total 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337 Total 214783 264941 319006 278892
      Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298 Landbased 156272 201406 246153 207239
      New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368 New hires 67929 70131 92296 82904
      Rehires 36300 22186 29857 37138 41054 53083 57667 54704 41486 38166 38239 47930 Rehires 88343 131275 153857 124335
      Seabased 17517 19048 21946 21408 22582 19545 24778 23776 24299 24475 27139 20039 Seabased 58511 63535 72853 71653
      2008 Jan08 Feb08 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08 2008
      Total 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584 Total 254213 344149 348678 288973
      Landbased 87841 64644 43921 74446 103434 100617 93891 95019 89714 78441 74712 67719 Landbased 196406 278497 278624 220872
      New hires 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102 New hires 67324 102121 108526 99002
      Rehires 68639 35662 24781 46795 67499 62082 55816 64630 49652 43779 40474 37617 Rehires 129082 176376 170098 121870
      Seabased 18212 21537 18058 20301 22485 22866 24294 22693 23067 23596 25640 18865 Seabased 57807 65652 70054 68101
      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
      2007 - Total 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337
      2008 - Total 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584
      2007 - Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298 2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4
      2008 - Landbased 87841 64644 43921 74446 103434 100617 93891 95019 89714 78441 74712 67719 New hires 67929 70131 92296 82904 67324 102121 108526 99002
      2007 - New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368
      2008 - New hires 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102 2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4 2009Q1
      2007 - Rehires 36300 22186 29857 37138 41054 53083 57667 54704 41486 38166 38239 47930 Total Deployment 214783 264941 319006 278892 254213 344149 348678 288973 283348
      2008 - Rehires 68639 35662 24781 46795 67499 62082 55816 64630 49652 43779 40474 37617 Landbased 156272 201406 246153 207239 196406 278497 278624 220872
      2007 - Seabased 17517 19048 21946 21408 22582 19545 24778 23776 24299 24475 27139 20039 Seabased 58511 63535 72853 71653 57807 65652 70054 68101
      2008 - Seabased 18212 21537 18058 20301 22485 22866 24294 22693 23067 23596 25640 18865
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07
      New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07
      Total Deployment 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337
      Q1 Q2 Q3 Q4
      2006 - Total 280605 294783 265788 221391
      2007 - Total 214783 264942 319006 278892
      2008 - Total 254213 344149 348678 288973
      2009 - Total
      2006 - Landbased 211279 224683 201998 150110
      2007 - Landbased 156272 201406 246153 207239
      2008 - Landbased 196406 278497 278624 220872
      2006 - Seabased 69326 70100 63790 71281
      2007 - Seabased 58511 63536 72853 71653
      2008 - Seabased 57807 65652 70054 68101
      Deployed Landbased Filipino Workers by Destination Year 2006 2007 2008 2009
      New hires and Rehires- Consolidated 2007 1st Qtr 2nd Qtr 3rd Qtr 4th Qtr 1st Qtr 2nd Qtr 3rd Qtr 4th Qtr 1st Qtr 2nd Qtr 3rd Qtr 4th Qtr 1st Qtr
      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TOTAL 280605 294783 265788 221391 214783 264942 319006 278892 254213 344149 348678 288973 283348
      MIDDLE EAST 31420 29408 35285 33456 40808 51637 56602 45915 46075 37507 37857 41908 LAND-BASED 211279 224683 201998 150110 156272 201406 246153 207239 196406 278497 278624 220872
      ASIA 13054 12118 16271 16701 18537 16562 21201 23758 17757 18889 20002 24133 Africa 2842 2543 2282 1783 2472 3329 4190 3135 2814 4129 4942 4549
      EUROPE 2871 1863 2531 3074 3335 4451 5748 6002 5258 3153 3590 3737 Americas 5369 5643 6057 4907 5318 5385 8534 8782 5882 8494 9148 8392
      AMERICAS 2151 1337 1830 1653 1872 1860 2991 2938 2605 3015 3073 2694 Asia 68312 64538 54604 35486 41443 51800 62716 63024 41654 63623 67274 47047
      AFRICA 1030 667 775 804 1099 1426 1479 1324 1387 1156 1010 969 Europe 13594 17123 15817 12779 7265 10860 17008 10480 12202 15131 15479 8983
      TRUST TERRITORIES 534 354 574 628 599 662 623 535 554 599 409 603 Middle_East 118078 131376 119985 93106 96113 125901 148592 117272 127768 181306 175605 147149
      OCEANIA 828 556 802 753 664 803 1294 1244 858 790 863 1236 Oceania 1334 1302 1466 1024 2186 2220 3396 2889 4298 3750 4207 2775
      UNSPECIFIED 1 0 0 0 0 0 1 0 0 0 4 1 Trust_Territories 1690 2115 1735 941 1462 1889 1712 1611 1350 1568 1439 1104
      Workers with Special Exit Clearance 3 8 1 16 4 2 3 0 1 24 0 17 Not Reported 5 2 1 1 1 5 424 482 530 829
      Deployed Landbased Total - NHs and RHs 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298 Others 55 41 51 84 12 22 4 41 14 14 44
      Deployed Seabased Total 17517 19048 21946 21409 22582 19545 24778 23776 24299 24475 27139 20039 SEA-BASED 69326 70100 63790 71281 58511 63536 72853 71653 57807 65652 70054 68101
      G R A N D T O T A L 69409 65359 80015 78494 89500 96948 114720 105492 98794 89608 93947 95337
      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
      Total Deployment 69409 65359 80015 78494 89500 96948 114720 105492 98794 89608 93947 95337
      Deployed Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298
      MIDDLE EAST 31420 29408 35285 33456 40808 51637 56602 45915 46075 37507 37857 41908
      ASIA 13054 12118 16271 16701 18537 16562 21201 23758 17757 18889 20002 24133
      EUROPE 2871 1863 2531 3074 3335 4451 5748 6002 5258 3153 3590 3737
      AMERICAS 2151 1337 1830 1653 1872 1860 2991 2938 2605 3015 3073 2694
      AFRICA 1030 667 775 804 1099 1426 1479 1324 1387 1156 1010 969
      Jan07
      Feb07
      Mar07
      Apr07
      May07
      Jun07
      Jul07
      Aug07
      Sep07
      Oct07
      Nov07
      Dec07
      Jan08
      Feb08
      Mar08
      Apr08
      May08
      Jun08
      Jul08
      Aug08
      Sep08
      Oct08
      Nov08
      Dec08
      Q1 Q1 Q1 Q1 Q1 Q1 Q1 Q1 Q1
      Q2 Q2 Q2 Q2 Q2 Q2 Q2 Q2 Q2
      Q3 Q3 Q3 Q3 Q3 Q3 Q3 Q3 Q3
      Q4 Q4 Q4 Q4 Q4 Q4 Q4 Q4 Q4
      Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
      Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
      Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
      Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
      May May May May May May May May May May
      Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
      Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
      Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug
      Sep Sep Sep Sep Sep Sep Sep Sep Sep Sep
      Oct Oct Oct Oct Oct Oct Oct Oct Oct Oct
      Nov Nov Nov Nov Nov Nov Nov Nov Nov Nov
      Dec Dec Dec Dec Dec Dec Dec Dec Dec Dec
      Jan07
      Feb07
      Mar07
      Apr07
      May07
      Jun07
      Jul07
      Aug07
      Sep07
      Oct07
      Nov07
      Dec07
      Jan08
      Feb08
      Mar08
      Apr08
      May08
      Jun08
      Jul08
      Aug08
      Sep08
      Oct08
      Nov08
      Dec08
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07
      Total 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337
      Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298
      New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368
      Rehires 36300 22186 29857 37138 41054 53083 57667 54704 41486 38166 38239 47930
      Seabased 17517 19048 21946 21408 22582 19545 24778 23776 24299 24475 27139 20039
      2008 Jan08 Feb08 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08
      Total 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584
      Landbased 87841 64644 43921 74446 103434 100617 93891 95019 89714 78441 74712 67719
      New hires 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102
      Rehires 68639 35662 24781 46795 67499 62082 55816 64630 49652 43779 40474 37617
      Seabased 18212 21537 18058 20301 22485 22866 24294 22693 23067 23596 25640 18865
      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
      2007 - Total 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337
      2008 - Total 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584
      2007 - Landbased 51892 46311 58069 57085 66918 77403 89942 81716 74495 65133 66808 75298
      2008 - Landbased 87841 64644 43921 74446 103434 100617 93891 95019 89714 78441 74712 67719
      2007 - New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368
      2008 - New hires 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102
      2007 - Rehires 36300 22186 29857 37138 41054 53083 57667 54704 41486 38166 38239 47930
      2008 - Rehires 68639 35662 24781 46795 67499 62082 55816 64630 49652 43779 40474 37617
      2007 - Seabased 17517 19048 21946 21408 22582 19545 24778 23776 24299 24475 27139 20039
      2008 - Seabased 18212 21537 18058 20301 22485 22866 24294 22693 23067 23596 25640 18865
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07 Jan08 Feb08 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08
      New hires 15592 24125 28212 19947 25864 24320 32275 27012 33009 26967 28569 27368 19202 28982 19140 27651 35935 38535 38075 30389 40062 34662 34238 30102
      Jan07 Feb07 Mar07 Apr07 May07 Jun07 Jul07 Aug07 Sep07 Oct07 Nov07 Dec07 Jan08 Feb08 Mar08 Apr08 May08 Jun08 Jul08 Aug08 Sep08 Oct08 Nov08 Dec08
      Total Deployment 69409 65359 80015 78493 89500 96948 114720 105492 98794 89608 93947 95337 106053 86181 61979 94747 125919 123483 118185 117712 112781 102037 100352 86584
      Q1 Q2 Q3 Q4
      2006 - Total 280605 294783 265788 221391
      2007 - Total 214783 264942 319006 278892
      2008 - Total 254213 344149 348678 288973
      2009 - Total
      2006 - Landbased 211279 224683 201998 150110
      2007 - Landbased 156272 201406 246153 207239
      2008 - Landbased 196406 278497 278624 220872
      2006 - Seabased 69326 70100 63790 71281
      2007 - Seabased 58511 63536 72853 71653
      2008 - Seabased 57807 65652 70054 68101
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      Unemployment Rate
      2004 Q1 110
      Q2 137
      Q3 117
      Q4 109
      2005 Q1 113
      Q2 83
      Q3 77
      Q4 74
      2006 Q1 81
      Q2 82
      Q3 80
      Q4 73
      2007 Q1 78
      Q2 74
      Q3 78
      Q4 63
      2008 Q1 74
      Q2 80
      Q3 74
      Q4 68
      2009 Q1 77
      Q2 75
      Q3 76
      Q4
      Unemployment Rate
      Q12004 11
      Q22004
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      FOB Value Growth rate year-on-year
      2007 Jan 39869 218
      Feb 37173 78
      Mar 44775 73
      Apr 41173 51
      May 41216 61
      Jun 41167 15
      Jul 41880 43
      Aug 41041 (40)
      Sep 43725 46
      Oct 46484 105
      Nov 39475 (21)
      Dec 44724 214
      2008 Jan 42306 60
      Feb 41120 105
      Mar 41931 (66)
      Apr 43247 49
      May 42241 23
      Jun 45134 88
      Jul 44372 44
      Aug 43930 66
      Sep 44387 11
      Oct 39710 (148)
      Nov 35130 (114)
      Dec 26746 (403)
      2009 Jan 251119 (406)
      Feb 250629 (391)
      Mar 290673 (308)
      Apr 280311 (352)
      May 308786 (269)
      Jun 340630 (248)
      Jul 331077 (254)
      Aug 347289 (210)
      Sep 363398 (183)
      2007 2008 2009
      Month FOB Value Growth Rates FOB Value Growth Rates FOB Value Growth Rates
      Jan 39869 218 42306 60 251119 (406)
      Feb 37173 78 41120 105 250629 (391)
      Mar 44775 73 41931 (66) 290673 (308)
      Apr 41173 51 43247 49 280311 (352)
      May 41216 61 42241 23 308786 (269)
      Jun 41167 15 45134 88 340630 (248)
      Jul 41880 43 44372 44 331077 (254)
      Aug 41041 (40) 43930 66 347289 (210)
      Sep 43725 46 44387 11 363398 (183)
      Oct 46484 105 39710 (148)
      Nov 39475 (21) 35130 (114)
      Dec 44724 214 26746 (403)
      2007 2008 2009
      Month Levels Growth Rates Levels Growth Rates Levels Growth Rates
      Jan 10994 199 12640 150 12655 01
      Feb 10855 254 12586 159 13200 49
      Mar 13048 264 14278 94 14715 31
      Apr 11915 326 14102 184 14417 22
      May 12371 84 14298 156 14822 37
      Jun 11158 10 14508 300 14987 33
      Jul 10966 46 13668 246 14940 93
      Aug 12069 106 13320 104 13691 28
      Sep 11398 124 13329 169
      Oct 13885 171 14347 33
      Nov 11870 38 13113 105
      Dec 13970 59 14077 08
      Jan2007 Jan2007
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2008 Jan2008
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2009 Jan2009
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Jan Jan
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan Jan
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan Jan
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      1 1 1 1 1 1
      Amount Growth rate year-on-year
      2007 Jan 10994 199
      Feb 10855 254
      Mar 13048 264
      Apr 11915 326
      May 12371 84
      Jun 11158 10
      Jul 10966 46
      Aug 12069 106
      Sep 11398 124
      Oct 13885 171
      Nov 11870 38
      Dec 13970 59
      2008 Jan 12640 150
      Feb 12586 159
      Mar 14278 94
      Apr 14102 184
      May 14298 156
      Jun 14508 300
      Jul 13668 246
      Aug 13320 104
      Sep 13329 169
      Oct 14347 33
      Nov 13113 105
      Dec 14077 08
      2009 Jan 12655 01
      Feb 13200 49
      Mar 14715 31
      Apr 14417 22
      May 14822 37
      Jun 14987 33
      Jul 14940 93
      Aug 13691 28
      Sep 14470 86
      Jan2007 Jan2007
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2008 Jan2008
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2009 Jan2009
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Site No of HHs PhilHealth-sponsored programf Pantawid Pamilya Pilipino Program (4Ps) NFA rice access program Comprehensive Livelihood amp Emergency Employment Program (CLEEP) Self-Employment Assistance-Kaunlaran (SEA-K) Emergency loan for SSS members who were retrenched since Jan 2009 Pag-ibig Special Short-term Loan (STL) Program for displaced workers 6-month pay package for laid-off electronic workers Botika ng Barangay Program Day care center services Barangay health services
      Rural
      Ando 174 57 06 81 06 0 06 11 0 86 178 425
      Salvacion 237 3 0 89 0 46 0 04 0 447 165 878
      San Miguel 269 156 0 602 04 0 0 0 0 26 63 327
      Urban Outside NCR
      Gumamela 432 137 12 521 0 0 0 0 0 25 56 162
      Magbangon 259 459 0 371 0 0 0 04 0 69 35 58
      Masikap 227 35 0 62 0 0 31 13 0 22 0 128
      Poblacion III 466 30 02 163 04 0 0 0 04 185 82 15
      Villa Angeles 354 627 0 107 0 03 34 45 0 06 25 51
      Urban NCR
      192 856 - 0 298 01 0 09 07 0 65 53 118
      TOTAL
      No 3274 607 7 1218 5 12 28 29 2 403 212 673
      1000 185 02 372 02 04 09 09 0 123 65 206
      Total Male Female
      Region Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Asia 15 555 12 80 3 20
      Europe 6 222 4 667 2 333
      North America 5 185 3 60 2 40
      Australia 1 37 0 0 1 100
      Total 27 100 19 704 7 296
      Region No of OFWs
      Asia 15
      Europe 6
      North America 5
      Australia 1
      Total 27
      All Sectors Manufacturing
      2007 Q1 156 -046
      Q2 357 03
      Q3 331 -008
      Q4 287 081
      2008 Q1 476 386
      Q2 199 0
      Q3 205 -037
      Q4 069 01
      2009 Q1 027 -138
      Q2 221 224
      Q12007 Q12007
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12008 Q12008
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12009 Q12009
      Q2 Q2
      withdrawsy_fn withdrawsy_fn sex
      ELMER JR 1 DENESSA 2
      REYNAN 1 ELMER JR 1
      ROBERT 1 ARMIE 2
      CARYLLE KAYE 2 GILBERT 1
      ALVIN 1 DANTE 1
      KIETH CYRILL 1 RONALD 1
      JOVEN 1 JALLY 2
      BENIGNO 1 REYNAN 1
      ALVIN 1 ROBERT 1
      DENMARK E 1 BRENDA 2
      DON CARLO D 1 BEBETH 2
      DENESSA 2 ALVIN 1
      GILBERT 1 MA FE 2
      DANTE 1 YMEL 1
      REGGIE 1 JOVEN 1
      RONALD 1 JOHN MANUEL 1
      JALLY 2 JUN-JUN 1
      KOBE BRYAN 1 JOHN LUIS 1
      MA FE 2 KENNETH 1
      YMEL 1 MA ELINA 2
      BRENDA 2 BERSON 1
      FRANCIS EDD 1 GLENN IRETH 1
      FRANCIS GABRIELLE 1 ALVIN 1
      JOHN MICO 1 DENMARK E 1
      OMAR JOSEPH 1 DON CARLO D 1
      DHANVER 1 DHANVER 1
      BEBETH 2 KOBE BRYAN 1
      ARMIE 2 REGGIE 1
      BERSON 1 KIETH CYRILL 1
      GLENN IRETH 1 CARYLLE KAYE 2
      JOHN MANUEL 1 BENIGNO 1
      MA ELINA 2 JOHN MICO 1
      JUN-JUN 1 OMAR JOSEPH 1
      JOHN LUIS 1 FRANCIS EDD 1
      KENNETH 1 FRANCIS GABRIELLE 1
      No No of Withdrawn Children
      Male 2093 27 13 2066 27
      Female 1916 8 04 1908 8
      Total 4009 35 17
      privtopubsy_fn sex
      RINA 2
      MARIEL 2
      JOHN DANE 1
      JOSHUA 1
      ROLANDO 1
      GERALDWIN 1
      SAVINA 2
      AIKE 1
      HAROLD 1
      DARREL 1
      ARVIN 1
      PAUL JOHN 1
      JAN AIGRETTE 2
      MARIA CLAUDINE 2
      GERRY 1
      DOMINIC ALLEYAH 2
      No of Students No of Children who Shifted from Private to Public School
      Male 2066 10 05
      Female 1908 8 04
      Total 3974 18 09
      Gross Domestic Product Net Factor Income from Abroad and Gross National Product1st Qtr 2003 -2nd Qtr 2009(in million PhP)
      Period At Current Prices At Constant 1985 Prices
      GDP NFIA GNP GDP NFIA GNP
      2003 4316402 315077 4631479 1085072 86359 1171431
      Q1 994224 68550 1062773 253672 19168 272840
      Q2 1032440 80778 1113218 264189 22243 286432
      Q3 1057502 83314 1140816 264671 22665 287337
      Q4 1232236 82435 1314672 302539 22283 324822
      2004 4871555 376509 5248064 1154295 98036 1252331
      Q1 1109078 84329 1193407 271817 22828 294644
      Q2 1170574 97245 1267820 282939 25580 308518
      Q3 1198554 97202 1295756 279581 24853 304443
      Q4 1393348 97733 1491081 319959 24776 344735
      2005 5444038 447145 5891183 1211452 108548 1320000
      Q1 1234383 100221 1336605 284063 25239 309303
      Q2 1316400 112436 1428836 297426 27429 324855
      Q3 1334509 107281 1441790 292665 25680 318345
      Q4 1558746 127206 1685953 337298 30199 367497
      2006 6031164 500940 6532104 1276156 115133 1391289
      Q1 1386083 112729 1489912 299681 26491 326172
      Q2 1454772 129652 1584423 313112 29825 342937
      Q3 1476946 113828 1590774 307750 26008 333757
      Q4 1713364 144731 1858095 355613 32808 388421
      2007 6647338 579974 7227312 1366493 129098 1495589
      Q1 1523149 117930 1641079 320326 26866 347192
      Q2 1617711 160029 1777741 339218 35809 375026
      Q3 1610729 152413 1763142 328795 33671 362466
      Q4 1895749 149601 2045350 378154 32750 410905
      2008 7423213 827036 8250249 1418952 168845 1587797
      Q1 1660335 168092 1828427 332890 36603 369494
      Q2 1833916 201478 2035395 353331 41456 394787
      Q3 1853440 209295 2062735 343784 41280 385063
      Q4 2075522 248170 2323692 388948 49507 438454
      2009
      Q1 1738762 230951 1969713 334866 46035 380901
      Q2 1869888 274822 2144710 358460 53758 412218
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      Sex Lost job Individuals who lost job
      Magnitude Proportion Individuals who Lost Job Members of the Labor Force
      Total 107 100 Male 65 3213 20
      Female 42 2036 21
      Male 65 608 Total 107 5249 41
      Female 42 393
      Statistics Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Population 15 years and over 9657 100 4765 493 4892 507
      Labor force 5249 100 3213 612 2036 388
      Employed persons 4630 100 2880 622 1750 378
      Unemployed persons 619 100 333 538 286 462
      Labor force participation rate 544 674 416
      Employment rate 882 896 86
      Unemployment rate 118 104 14
      Indicator Magnitude
      No of Households 3274
      HH with member who lost job 90 28
      Statistics Total Male Female
      No No
      Population 15 years and over 9657 4765 493 4892 507
      Labor force 5249 3213 612 2036 388
      Employed persons 4630 2880 622 1750 378
      Unemployed persons 619 333 538 286 462
      Indicator Rural Urban NCR Urban Outside NCR Total
      Magnitude Proportion Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH with returning OFW 17 246 26 366 124 413 167 38
      HH with returning OFW who was retrenched or laid off from work 2 118 2 77 23 185 27 162
      HH with OFW who experienced wage reduction 2 29 11 155 28 93 41 94
      HH who received remittances during the past 12 months 63 913 60 845 264 88 387 88
      HH who received remittances during the past 6 months 67 971 71 100 298 993 436 991
      HH who experienced a decline in the amount of remittances received 7 104 13 183 20 67 40 92
      HH who experienced a decline in the frequency of receipt of remittances 4 6 9 127 19 64 32 73
      Indicator Rural Urban NCR Urban Outside NCR Total
      Magnitude Proportion Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH with OFW who experienced wage reduction 2 29 11 155 28 93 41 94
      Area Households HHs with OFW HH with OFW who experienced wage reduction
      Rural No 680 69 2
      101 29
      Urban NCR No 856 71 11
      83 155
      Urban Outside NCR No 1738 300 28
      173 93
      Total No 3274 440 41
      134 94
      Indicator Rural Urban NCR Urban Outside NCR Total
      No No No No
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH who received remittances during the past 6 months 67 971 71 100 298 993 436 991
      HH who experienced a decline in the amount of remittances received 7 104 13 183 20 67 40 92
      HH who experienced a decline in the frequency of receipt of remittances 4 6 9 127 19 64 32 73
      Q12003
      Q2
      Q3
      Q4
      Q12004
      Q2
      Q3
      Q4
      Q12005
      Q2
      Q3
      Q4
      Q12006
      Q2
      Q3
      Q4
      Q12007
      Q2
      Q3
      Q4
      Q12008
      Q2
      Q3
      Q4
      Q12009
      Q2
      Growth Rate Real GDP Real GDP (PM)
      2003 Q1 253672 253672
      Q2 264189 264189
      Q3 264671 264671
      Q4 302539 302539
      2004 Q1 72 271817 271817
      Q2 71 282939 282939
      Q3 56 279581 279581
      Q4 58 319959 319959
      2005 Q1 45 284063 284063
      Q2 51 297426 297426
      Q3 47 292665 292665
      Q4 54 337298 337298
      2006 Q1 55 299681 299681
      Q2 53 313112 313112
      Q3 52 30775 307750
      Q4 54 355613 355613
      2007 Q1 69 320326 320326
      Q2 83 339218 339218
      Q3 68 328795 328795
      Q4 63 378154 378154
      2008 Q1 39 33289 332890
      Q2 42 353331 353331
      Q3 46 343784 343784
      Q4 29 388948 388948
      2009 Q1 06 334866 334866
      Q2 15 35846 358460
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      Outcome variables Magnitude Proportionb
      Overseas Employment and Remittances
      HHs with OFW who returned from abroad due to retrenchmentlay-off 27 61
      HHs with OFW who experienced wage reduction 41 94
      HHs with remittances declined in terms of amount 40 92
      HHs with remittances declined in terms of frequency 32 73
      Local Employment
      HHs with business closedshutdown 17 11
      HHs with income from business declined 110 69
      HHs with employees in business got laid-off 3 02
      HHs with member who lost job 90 28
      HHs with members who experienced wage reduction 74 23
      HHs with members who experienced reduction in working hours 65 2
      HHs with members who experienced reduction in employment benefits 8 03
      Table ___ Households coping strategies on tapping of various fund sources by location 2009
      Coping Strategies Total
      Magnitude Proportion
      Used savings 440 134
      Sold assets 64 2
      Pawned assets 157 48
      Tried to borrow money 1330 406
      Borrowed money 1290 394
      Defaulted on debt 193 59
      Table __ Households coping strategies on employment by location 2009
      Coping Strategies Total
      Magnitude Proportion
      Looked for additional work 183 56
      Did additional work 144 44
      Employed members not previously working 59 18
      Looked for work abroad 53 16
      rb_fn sex
      ARNOLD 1
      ANNIELYN 2
      ELMER 1
      ROLAN 1
      ARIES 1
      NORA 2
      LYDIA 2
      APOLINARIO 1
      No of Employed Persons With Reduced Benefits With Wage Reduction
      No No
      Male 2880 5 017 47 16
      Female 1750 3 017 36 21
      Total 4630 8 017 83 18
      rw_fn sex
      CALIXTO P 1
      GEDION 1
      ERNESTO JR 1
      RUBY ANN 2
      CAROLYN 2
      RAMIL 1
      JESS CHRISTOPHER 1
      EFREN 1
      ALFREDO 1
      ROSALIE 2
      PERCIVAL 1
      JOMER 1
      ARTURO 1
      ORLANDO SR 1
      ROBERTO 1
      DAISY 2
      VICTOR 1
      ARMAN SR 1
      MARIAN 2
      ANNIELYN 2
      ELMER 1
      NAIDA 2
      LEVY II 1
      OFELIA 2
      RODERICK 1
      ANNALYN 2
      ROLAN 1
      EFREN 1
      ROGELIO 1
      LOURDES 2
      JAIME 1
      LANIE 2
      ISABELITA 2
      PRISCILLA 2
      LELAND LLOYD 1
      RANDY 1
      ROLANDO JR 1
      MARILYN 2
      ERIC 1
      ROSEMARIE 2
      MAXIMA 2
      JAMES 1
      RAUL 1
      NICK 1
      NORMITA 2
      LORNA 2
      RONA 2
      NORA 2
      JOSEPH 1
      LERMA 2
      GEBOY 1
      SIMPLICIA 2
      NAZAR 1
      DELIA M 2
      NENITA 2
      JUVIELYN 2
      JOSEPHINE 2
      WILLIAM 1
      ROY VINCENT 1
      CLEOFAS 1
      ELYMAR 1
      BRIENDEL 1
      ANNALISA 2
      RAFAEL 1
      LAWRENCE R 1
      SHERWIN L 1
      NELLIE M 2
      LOVELYN 2
      REDEN 1
      MA CRISTINA 2
      JONALIE 2
      SHERYL 2
      ROLANDO 1
      MARY JANE 2
      JONEL 1
      ALBERT 1
      CARLOS 1
      HENRY 1
      GEMMA 2
      EDGARDO H 1
      LYDIA 2
      ROSITA 2
      ELVIS 1
      No of Employed Persons No of Members With Wage Reduction
      Male 2880 47 16
      Female 1750 36 21
      Total 4630 83 18
      Accessed NFA rice programe Quintile Total
      1 2 3 4 5
      Magnitude Magnitude Magnitude Magnitude Magnitude Magnitude
      Did avail 439 36 325 267 237 195 138 113 79 65 1218 100
      778 647 544 326 203 526
      Did not access 125 114 177 161 199 181 285 26 311 284 1097 100
      222 353 456 674 797 474
      Total 564 244 502 217 436 188 423 183 390 169 2315 100
      100 100 100 100 100 100
      Access to NFA rice program
      Quintile Magnitude Proportion Total No of HHs 100
      1 439 778 564
      2 325 647 502
      3 237 544 436
      4 138 326 423
      5 79 203 390
      Total 1218 526 2315
      Quintile Magnitude Share
      1 439 360
      2 325 267
      3 237 195
      4 138 113
      5 79 65
      Total 1218 1000
      rh_fn sex
      JOSE RUEL 1
      CAROLYN 2
      RICHARD 1
      BAMBI CORAZON 2
      MICHAEL 1
      EVANGELINE 2
      EDILBERTO 1
      ALFREDO 1
      ROSALIE 2
      LENY 2
      FERNANDO 1
      SHIELA 2
      JOMER 1
      ROBERTO 1
      DAISY 2
      ARMAN SR 1
      ELMER 1
      NAIDA 2
      RACHELY 2
      ANNALYN 2
      ROGELIO 1
      LOURDES 2
      ROGEL 1
      JAIME 1
      LANIE 2
      ISABELITA 2
      PRISCILLA 2
      LELAND LLOYD 1
      RANDY 1
      ROLANDO JR 1
      MARILYN 2
      ERIC 1
      ROSEMARIE 2
      MAXIMA 2
      JAMES 1
      NICK 1
      NORMITA 2
      LORNA 2
      RONA 2
      NORA 2
      JOSEPH 1
      GEBOY 1
      SIMPLICIA 2
      DELIA M 2
      JUVIELYN 2
      NENITA 2
      JOSEPHINE 2
      WILLIAM 1
      ROY VINCENT 1
      CLEOFAS 1
      ELYMAR 1
      BRIENDEL 1
      ANNALISA 2
      RAFAEL 1
      LAWRENCE R 1
      SHERWIN L 1
      NELLIE M 2
      LOVELYN 2
      REDEN 1
      MA CRISTINA 2
      JONALIE 2
      SHERYL 2
      ROLANDO 1
      MARY JANE 2
      JONEL 2
      ALBERT 1
      HENRY 1
      GEMMA 2
      EDGARDO H 1
      LYDIA 2
      ROSITA 2
      ELVIS 1
      HILDA 2
      No of Employed Persons No of Members With Reduced Working Hours
      Male 2880 37 13
      Female 1750 36 21
      Total 4630 73 16
      Type of Job Magnitude Proportion
      Plant and Machine Operators and Assemblers 35 480
      Service Workers and Shop and Market Sales Workers 14 192
      Officials of Government and Special-Interests 7 96
      Clerks 5 69
      Trades and Related Workers 3 41
      Laborers and Unskilled Workers 3 41
      Physical Mathematical and Engineering 2 27
      Technician and Associate Professionals 2 27
      Unspecified 2 27
      Total 73 100
      Type of Job Magnitude Proportion
      Plant and Machine Operators and Assemblers 35 480
      Service Workers and Shop and Market Sales Workers 14 192
      Officials of Government and Special-Interests 7 96
      Clerks 5 69
      Trades and Related Workers 3 41
      Laborers and Unskilled Workers 3 41
      Others (including unspecified) 6 82
      Total 73 100
      Program Rural Urban Outside NCR Urban NCR Total
      Ando Salvacion San Miguel Gumamela Magbangon Masikap Poblacion III Villa Angeles 192 No
      No of HHs 174 237 269 432 259 227 466 354 856 3274 1000
      PhilHealth-sponsored programf
      57 3 156 137 459 35 30 627 - 607 185
      Pantawid Pamilya Pilipino Program (4Ps)
      06 0 0 12 0 0 02 0 0 7 02
      NFA rice access program
      81 89 602 521 371 62 163 107 298 1218 372
      Comprehensive Livelihood amp Emergency Employment Program (CLEEP)
      06 0 04 0 0 0 04 0 01 5 02
      Self-Employment Assistance-Kaunlaran (SEA-K) 0 46 0 0 0 0 0 03 0 12 04
      Emergency loan for SSS members who were retrenched since Jan 2009 06 0 0 0 0 31 0 34 09 28 09
      Pag-ibig Special Short-term Loan (STL) Program for displaced workers 11 04 0 0 04 13 0 45 07 29 09
      6-month pay package for laid-off electronic workers 0 0 0 0 0 0 04 0 0 2 0
      Botika ng Barangay Program 86 447 26 25 69 22 185 06 65 403 123
      Day care center services 178 165 63 56 35 0 82 25 53 212 65
      Barangay health services 425 878 327 162 58 128 15 51 118 673 206
      A
      B
      C
      D
      E
      F
      G
      Industry Total Male Female
      No No No
      Private households with employed person 6 222 3 50 3 50
      Health and social work 5 186 1 20 4 80
      Manufacturing 4 148 4 100 0 0
      Transport storage and communication 3 111 3 100 0 0
      Financial intermediation 3 111 2 667 1 333
      Real estate renting and business activity 2 74 2 100 0 0
      Hotel and restaurants 1 37 1 100 0 0
      Wholesale amp retail trade repair of motor vehicles motorcycles and personal household goods 1 37 1 100 0 0
      Other community social and personal service activities 1 37 1 100 0 0
      Construction 1 37 1 100 0 0
      Total 27 100 19 704 8 296
      Male 19 704
      Female 8 296
      Industry Retrenched OFWs
      No
      Private households with employed person A 6 222
      Health and social work B 5 186
      Manufacturing C 4 148
      Transport storage and communication D 3 111
      Financial intermediation E 3 111
      Real estate renting and business activity F 2 74
      Others G 4 37
      Total 27 100
      Male 19 704
      Female 8 296
      26
      21
      19
      15
      8
      18
      Table __ Members who lost job by type of job
      Type of Job Magnitude Proportion
      Service workers and shop and market sal A 26 243
      Professionals B 21 196
      Laborers and skilled workers C 19 178
      Plant and machine operators and assembl D 15 140
      Technicians and associate professionals E 8 75
      Others F 18 168
      Total 107 1000
      Clerks 7 65
      Trades and related workers 7 65
      Officials of government and special interest 4 37
      Table ___ Members who lost job by industry
      Industry No
      Mining and quarying 2 187
      Manufacturing 22 2056
      Electricity gas and water supply 3 28
      Construction 3 28
      Wholesale amp retail trade repair of mot 8 748
      Hotel and restaurants 8 748
      Transport storage and communication 7 654
      Financial intermediation 5 467
      Real estate renting and business activ 2 187
      Public administration and defense comp 7 654
      Education 12 1121
      Health and social work 4 374
      Other community social and personal se 9 841
      Private households with employed person 14 1308
      Extra-territorial organizations and bod 1 093
      Total 107 100
      Q12004
      Q2
      Q3
      Q4
      Q12005
      Q2
      Q3
      Q4
      Q12006
      Q2
      Q3
      Q4
      Q12007
      Q2
      Q3
      Q4
      Q12008
      Q2
      Q3
      Q4
      Q12009
      Q2
      Growth Rate Real GDP Real GDP (PM)
      2004 Q1 72 271817 271817
      Q2 71 282939 282939
      Q3 56 279581 279581
      Q4 58 319959 319959
      2005 Q1 45 284063 284063
      Q2 51 297426 297426
      Q3 47 292665 292665
      Q4 54 337298 337298
      2006 Q1 55 299681 299681
      Q2 53 313112 313112
      Q3 52 30775 307750
      Q4 54 355613 355613
      2007 Q1 69 320326 320326
      Q2 83 339218 339218
      Q3 68 328795 328795
      Q4 63 378154 378154
      2008 Q1 39 33289 332890
      Q2 42 353331 353331
      Q3 46 343784 343784
      Q4 29 388948 388948
      2009 Q1 06 334866 334866
      Q2 15 35846 358460
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      71
      39
      Reason for the lost of Job Magnitude Proportion
      The firm is incurring losses 35 330
      The firm is downsizing and reducing costs 11 104
      The firm went bankrupt and closed 7 66
      Violated company lawsby-laws 3 28
      Corporate restructuring 1 09
      Others specify 49 462
      Outcome variables Magnitude Proportionb
      Dummy = 1 if OFW returned from abroad due to retrenchmentlay-off 27 162
      Dummy = 1 if OFW experienced wage reduction 41 94
      Dummy = 1 if remittances declined in terms of amount 40 92
      Dummy = 1 if remittances declined in terms of frequency 32 73
      Dummy = 1 if business closedshutdown 17 11
      Dummy = 1 if income from business declined 110 69
      Dummy = 1 if employees in business got laid-off 3 02
      Dummy = 1 if lost job 90 28
      Dummy = 1 if wage reduced 74 23
      Dummy = 1 if working hours reduced 65 2
      Dummy = 1 if employment benefits reduced 8 03
      Male
      Female
      Country Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Saudi Arabia 7 304 6 857 1 143
      United States of America 4 174 2 50 2 50
      Qatar 3 13 2 667 1 333
      United Kingdom 3 13 2 667 1 333
      Italy 2 87 1 50 1 50
      Others 8 348 6 75 2 25
      Total 27 100 19 704 8 296
      Country No of OFWs Retrenched OFWs
      Saudi Arabia 7 Male 19
      United States of America 4 Female 8
      Qatar 3
      United Kingdom 3
      Italy 2
      Others 8
      Total 27
      No of OFWs No of Retrenched OFWs
      Male 298 19 64
      Female 213 8 38
      Total 511 27 53
      A
      B
      C
      D
      E
      F
      Male
      Female
      Saudi Arabia
      USA
      Hong Kong SAR
      Qatar
      Singapore
      DPRK
      Others
      Unspecified
      wage Reduction
      Country Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Saudi Arabia 16 381 15 938 1 63 No of OFWs
      USA 4 95 4 100 0 0 Male 32
      Hong Kong SAR 4 95 1 25 3 75 Female 10 761904761905
      Qatar 3 71 2 667 1 333
      Singapore 2 48 2 100 0 0
      DPRK 2 48 2 100 0 0
      Others 8 191 3 375 5 625
      Unspecified 3 71 3 100 0 0
      Total 42 100 32 762 10 238
      Country No of OFWs
      Saudi Arabia 16
      USA 4
      Hong Kong SAR 4
      Qatar 3
      Singapore 2
      DPRK 2
      Others 8
      Unspecified 3
      Total 42
      No of OFWs No of OFWs who Experienced Wage Reduction
      Male 298 32 107
      Female 213 10 47
      Total 511 42 82
      Type of Job No Percent
      Service Workers and Shop and Market Sal 13 3095
      Technician and Associate Professionals 6 1429
      Trades and Related Workers 6 1429
      Laborers and Unskilled Workers 6 1429
      Plant and Machine Operators and Assembl 5 119
      Physical Mathematical and Engineering 3 714
      Officials of Government and Special-Int 2 476
      Special Occupations 1 238
      Total 42 100
      Type of Job No Percent
      Service Workers and Shop and Market Sal A 13 310
      Technician and Associate Professionals B 6 143
      Trades and Related Workers C 6 143
      Laborers and Unskilled Workers D 6 143
      Plant and Machine Operators and Assembl E 5 119
      Others F 6 143
      Total 42 1000
      Male Female Total
      No of OFWs 298 213 511
      No of OFWs who Experienced Wage Reduction 32 10 42
      107 47 82
      A
      B
      C
      D
      E
      Type of Job Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      All Occupations 27 100 19 704 8 296
      Professionals 9 333 5 556 4 444
      Service workers and shop and market sales worker 5 185 3 60 2 40
      Plant and machine operators and assemblers 5 185 5 100 0 0
      Trades and related workers 3 111 2 667 1 333
      Officials of government and special interest organization corporate executives managers managing proprietors and supervisors 1 37 1 100 0 0
      Technicians and associate professionals 1 37 1 100 0 0
      Clerks 1 37 1 100 0 0
      Laborers and skilled workers 1 37 1 100 0 0
      Special occupations 1 37 0 0 1 100
      Type of Job No of OFWs
      Professionals A 9
      Service workers and shop and market sales worker B 5
      Plant and machine operators and assemblers C 5
      Trades and related workers D 3
      Others E 5
      ofwfn sex ofwfn
      ELMIDA 2 ELMIDA 0
      FLORES 2 FLORES 0
      LILIA 2 LILIA 0
      ALONA 2 ALONA 0
      NOREEN 2 NOREEN 0
      MONICA 2 MONICA 0
      CARLITO 1 CARLITO 0
      MA NIMFA 2 MA NIMFA 0
      ELENA 2 ELENA 0
      ISIDRA 2 ISIDRA 0
      FELIZA 2 FELIZA 0
      REMEDIOS 2 REMEDIOS 0
      FELIXBERTO 1 FELIXBERTO 0
      MARTINA 2 MARTINA 0
      VIRGINE 2 VIRGINE 0
      EMILY 2 EMILY 0
      HAYDEE 2 HAYDEE 0
      NENITA 2 NENITA 0
      YOLANDA 2 YOLANDA 0
      EDGARDO 1 EDGARDO 0
      EMMA 2 EMMA 0
      DAN 1 DAN 0
      ROEL 1 ROEL 0
      GENARO 1 GENARO 0
      LINA 2 LINA 0
      ALPHA 2 ALPHA 0
      BLECHA 2 BLECHA 0
      MICHELE 2 MICHELE 0
      ABENCIO 1 ABENCIO 0
      RUBEN 1 RUBEN 0
      ANTONIA 2 ANTONIA 0
      LIZA 2 LIZA 0
      CRISTY 2 CRISTY 0
      SHERYL 2 SHERYL 0
      EVELYN 2 EVELYN 0
      MA GLORIA 2 MA GLORIA 0
      MARIE 2 MARIE 0
      MERIAM 2 MERIAM 0
      FILMA 2 FILMA 0
      ELSIE 2 ELSIE 0
      SHERLYN 2 SHERLYN 0
      MYRNA 2 MYRNA 0
      EVELYN 2 EVELYN 0
      ELDIE 2 ELDIE 0
      VILMA 2 VILMA 0
      CYRIL 2 CYRIL 0
      YOLANDA 2 YOLANDA 0
      JELANIE 2 JELANIE 0
      NOEMA 2 NOEMA 0
      EMMENUEL SR 1 EMMENUEL SR 0
      EMMA 2 EMMA 0
      ANALYN 2 ANALYN 0
      NIDA 2 NIDA 0
      LORNA 2 LORNA 0
      LELIA 2 LELIA 0
      VILMA 2 VILMA 0
      ETHELINDA 2 ETHELINDA 0
      MELANIO 1 MELANIO 0
      MYRNA 2 MYRNA 0
      MARY ANN 2 MARY ANN 0
      EMY 2 EMY 0
      EVA 2 EVA 0
      CONSHITA 2 CONSHITA 0
      LORNA 2 LORNA 0
      EVELYN 2 EVELYN 0
      NILCHA 2 NILCHA 0
      NIDA 2 NIDA 0
      TILLY 2 TILLY 0
      TERESITA 2 TERESITA 0
      NIMFA 2 NIMFA 0
      AGNES 2 AGNES 0
      NIMA 2 NIMA 0
      MARITES 2 MARITES 0
      MARINETTE 2 MARINETTE 0
      NIMFA 2 NIMFA 0
      FREDDIE 1 FREDDIE 0
      FELICITAS 2 FELICITAS 0
      SANDRO JR 1 SANDRO JR 0
      ELMER 1 ELMER 0
      MARIANEY 2 MARIANEY 0
      RIZA 2 RIZA 0
      GLENFORD 1 GLENFORD 0
      JONJIE 1 JONJIE 0
      EDWIN 1 EDWIN 0
      MANOLITO 1 MANOLITO 0
      PAULEEN 2 PAULEEN 0
      MANOLO 1 MANOLO 0
      KATE EDISON 2 KATE EDISON 0
      CIEDWUO 1 CIEDWUO 0
      GISELLE 2 GISELLE 0
      GEMMA 2 GEMMA 0
      ALEX 1 ALEX 0
      NELSA 2 NELSA 0
      ENGELBERT 1 ENGELBERT 0
      JULIET 2 JULIET 0
      HERDOLLY 2 HERDOLLY 0
      JAIME 1 JAIME 0
      WILLIAM 1 WILLIAM 0
      KATHLEEN 2 KATHLEEN 0
      DIOSDADO 1 DIOSDADO 0
      FRANCISCO 1 FRANCISCO 0
      ALBERTO 1 ALBERTO 0
      RHODORA 2 RHODORA 0
      RONALD 1 RONALD 0
      MARLYN 2 MARLYN 0
      ANNALY 2 ANNALY 0
      LUCAS 1 LUCAS 0
      ERLINDA 2 ERLINDA 0
      EDUARDO 1 EDUARDO 0
      FROILAN 1 FROILAN 0
      ELIZALDE 1 ELIZALDE 0
      DOROTHY 2 DOROTHY 0
      LAILA 2 LAILA 0
      PEPE 1 PEPE 0
      DENNIS 1 DENNIS 0
      MARK 1 MARK 0
      ERLINDA 2 ERLINDA 0
      DOMENADOR 1 DOMENADOR 0
      JOVY 2 JOVY 0
      JODY 2 JODY 0
      JAIME JR 1 JAIME JR 0
      LESTER 1 LESTER 0
      MELVIN 1 MELVIN 0
      JOSIE 2 JOSIE 0
      PAMELA 2 PAMELA 0
      ROWELL 1 ROWELL 0
      MERSILITA 2 MERSILITA 0
      DENCIO 1 DENCIO 0
      ROLLY 1 ROLLY 0
      CRIS MICHAEL 1 CRIS MICHAEL 0
      LUZEZY 2 LUZEZY 0
      JIM 1 JIM 0
      MAYMAY 2 MAYMAY 0
      ALLAN 1 ALLAN 0
      ROBERT 1 ROBERT 0
      ANTONIO 1 ANTONIO 0
      MENCHIE 2 MENCHIE 0
      MARCIAL 1 MARCIAL 0
      GINA 2 GINA 0
      RENWALDO 1 RENWALDO 0
      NERISSA 2 NERISSA 0
      GRACE 2 GRACE 0
      FAIDSA 2 FAIDSA 0
      TERISA 2 TERISA 0
      MARK ANTHONY 1 MARK ANTHONY 0
      DARIO 1 DARIO 0
      FATIMA 2 FATIMA 0
      ZORAYDA 2 ZORAYDA 0
      MICHAEL 1 MICHAEL 0
      RUSTY 1 RUSTY 0
      MERLYN 2 MERLYN 0
      PAMELA 2 PAMELA 0
      ROMEL 1 ROMEL 0
      MARK 1 MARK 0
      ALBERT 1 ALBERT 0
      ANNALIZA 2 ANNALIZA 0
      RAMIL 1 RAMIL 0
      THELMA 2 THELMA 0
      FERDINAND 1 FERDINAND 0
      HAROLD 1 HAROLD 0
      SONNY 1 SONNY 0
      ALFREDO 1 ALFREDO 0
      SALVADOR 1 SALVADOR 0
      ARLENE 2 ARLENE 0
      ARTURO 1 ARTURO 0
      OLIVIA 2 OLIVIA 0
      CARLO 1 CARLO 0
      ARMANDO 1 ARMANDO 0
      MARICEL 2 MARICEL 0
      DENNIS 1 DENNIS 0
      AUGOSTO 1 AUGOSTO 0
      SOFIA 2 SOFIA 0
      MICHAEL 1 MICHAEL 0
      ELIZABETH 2 ELIZABETH 0
      ERIC 1 ERIC 0
      ABDUL WAHAB 1 ABDUL WAHAB 0
      RODERICK 1 RODERICK 0
      MATILDE 2 MATILDE 0
      JARIEL 1 6 0
      ROMEO 1 ROMEO 0
      FERDINAND 1 FERDINAND 0
      MARISSA 2 MARISSA 0
      DARWIN 1 DARWIN 0
      DONALD 1 DONALD 0
      RAGIE 1 RAGIE 0
      ARNULFO 1 ARNULFO 0
      EDEN 2 EDEN 0
      EVELYN 2 EVELYN 0
      MARIA LIZA 2 MARIA LIZA 0
      MYRA 2 MYRA 0
      ERWIN 1 ERWIN 0
      OFELIA 2 OFELIA 0
      MARCIAL 1 MARCIAL 0
      CORAZON 2 CORAZON 0
      MARIANO 1 MARIANO 0
      BILLY JOHN 1 BILLY JOHN 0
      NENITA 2 NENITA 0
      MARICEL 2 MARICEL 0
      NEREN 1 NEREN 0
      DAISY 2 DAISY 0
      RUEL 1 RUEL 0
      CLEMENTE 1 CLEMENTE 0
      SALVADOR 1 SALVADOR 0
      GING-GING 2 GING-GING 0
      ARNEL 1 ARNEL 0
      LAURENCE 1 LAURENCE 0
      NORA 2 NORA 0
      JONATHAN 1 JONATHAN 0
      ISIDRO 1 ISIDRO 0
      MYLA 2 MYLA 0
      KRISTINE 2 KRISTINE 0
      WENEFREDO 1 WENEFREDO 0
      FLORDILIZA 2 FLORDILIZA 0
      TERESITA 2 TERESITA 0
      HILARIO 1 HILARIO 0
      ERVIO 1 ERVIO 0
      CRISANTO 1 CRISANTO 0
      JEROME 1 JEROME 0
      REYNALDO 1 REYNALDO 0
      LUISITO 1 LUISITO 0
      ARTURO 1 ARTURO 0
      ARLAN 1 ARLAN 0
      LENAND 1 LENAND 0
      ROMEL 1 ROMEL 0
      JOEL 1 JOEL 0
      GLENN 1 GLENN 0
      BEMEN 1 BEMEN 0
      LAARNI 2 LAARNI 0
      JASIIE 2 JASIIE 0
      GODOFREDO 1 GODOFREDO 0
      MILDRED 2 MILDRED 0
      JAZMIN 2 JAZMIN 0
      ERNESTO 1 ERNESTO 0
      JOSEPH 1 JOSEPH 0
      GERARDO 1 GERARDO 0
      JOAN 2 JOAN 0
      JASON 1 JASON 0
      MANOLITO 1 MANOLITO 0
      REYNALDO 1 REYNALDO 0
      EMIL 1 EMIL 0
      GERARDO SR 1 GERARDO SR 0
      RAEL 1 RAEL 0
      JANICE 2 JANICE 0
      ERLINDA 2 ERLINDA 0
      EMILIANO 1 EMILIANO 0
      CHRISTOPHER 1 CHRISTOPHER 0
      LAURENCE 1 LAURENCE 0
      RENATO 1 RENATO 0
      JEFFERSON 1 JEFFERSON 0
      JOEL 1 JOEL 0
      HENNRY 1 HENNRY 0
      SHERWIN 1 SHERWIN 0
      AMANTE 1 AMANTE 0
      RANDY 1 RANDY 0
      RAUL 1 RAUL 0
      ADAM 1 ADAM 0
      BENIGNO 1 BENIGNO 0
      PATRICK 1 PATRICK 0
      EDUARDO 1 EDUARDO 0
      MELVIN 1 MELVIN 0
      RICARDO 1 RICARDO 0
      ALEXANDER 1 ALEXANDER 0
      NICANDRO 1 NICANDRO 0
      RENATO 1 RENATO 0
      FEDERICO 1 FEDERICO 0
      CATHERINE 2 CATHERINE 0
      ISAGANI 1 ISAGANI 0
      FRANCO 1 FRANCO 0
      MAGTANNGOL 1 MAGTANNGOL 0
      MELINDA 2 MELINDA 0
      JERRY 1 JERRY 0
      JEMUEL 1 JEMUEL 0
      DEAN 2 DEAN 0
      DANILO 1 DANILO 0
      ALEJANDRO 1 ALEJANDRO 0
      DIOSCORO 1 DIOSCORO 0
      YOLANDA 2 YOLANDA 0
      BIENVINIDO 1 BIENVINIDO 0
      NICOMODUS 1 NICOMODUS 0
      RONALD 1 RONALD 0
      MICHAEL 1 MICHAEL 0
      JESSIE 1 JESSIE 0
      JANEL 2 JANEL 0
      ABRAHAM JR 1 ABRAHAM JR 0
      JOJO 1 JOJO 0
      LORETA 2 LORETA 0
      ROGELIO 1 ROGELIO 0
      CHERRY 2 CHERRY 0
      RODERICK 1 RODERICK 0
      CHRISTIAN 1 CHRISTIAN 0
      MARY JANE 2 MARY JANE 0
      LEONILO 1 LEONILO 0
      TOMAS 1 TOMAS 0
      MARK 1 MARK 0
      BERNIE 1 BERNIE 0
      MANUEL 1 MANUEL 0
      CARMELITA 2 CARMELITA 0
      JOEY 1 JOEY 0
      MAUREEN 2 MAUREEN 0
      ARISTOTELLE 1 ARISTOTELLE 0
      FERDINAND 1 FERDINAND 0
      MERVIN 1 MERVIN 0
      MANUEL 1 MANUEL 0
      ROLANDO 1 ROLANDO 0
      ROLLY 1 ROLLY 0
      ROMEL 1 ROMEL 0
      HILARION 1 HILARION 0
      NOEL 1 NOEL 0
      MARLON 1 MARLON 0
      SHIRLEY 2 SHIRLEY 0
      LIRA 2 LIRA 0
      ARMANDO 1 ARMANDO 0
      CESAR 1 CESAR 0
      PABLITO 1 PABLITO 0
      ROBERT 1 ROBERT 0
      ]MARGIE 2 ]MARGIE 0
      ERWIN 1 ERWIN 0
      JAYVEE 1 JAYVEE 0
      PATRICIO 1 PATRICIO 0
      EDWARD 1 EDWARD 0
      CHRISTOPHER 1 CHRISTOPHER 0
      RODOLFO 1 RODOLFO 0
      ROMANO 1 ROMANO 0
      ISAIAS 1 ISAIAS 0
      DELMAR 1 DELMAR 0
      CESAR 1 CESAR 0
      RONELITO 1 RONELITO 0
      CHONA 2 CHONA 0
      ARNOLD 1 ARNOLD 0
      RONALDO 1 RONALDO 0
      EDGARDO 1 EDGARDO 0
      JOMMEL 1 JOMMEL 0
      JERRY 1 JERRY 0
      ROMEO 1 ROMEO 0
      RICARDO 1 RICARDO 0
      ZYRA 2 ZYRA 0
      JOHN FREDIRECK 1 JOHN FREDIRECK 0
      PEARLIE 2 PEARLIE 0
      CARLOS 1 CARLOS 0
      ERVIEL FELIX 1 ERVIEL FELIX 0
      RICARDO 1 RICARDO 0
      ARCHIMEDES 1 ARCHIMEDES 0
      ALFREDO JR 1 ALFREDO JR 0
      JOY 2 JOY 0
      ARIEL 1 ARIEL 0
      TERESITA 2 TERESITA 0
      WILFREDO JR 1 WILFREDO JR 0
      ANTONIO 1 ANTONIO 0
      RUBY 2 RUBY 0
      KRISTINE ANN 2 KRISTINE ANN 0
      OFELIA 2 OFELIA 0
      JOCELYN 2 JOCELYN 0
      RAFAEL 1 RAFAEL 0
      JULIUS 1 JULIUS 0
      LAWRENCE 1 LAWRENCE 0
      LITO 1 LITO 0
      DONNA 2 DONNA 0
      HELEN 2 HELEN 0
      EDGARDO 1 EDGARDO 0
      RODRIGO 1 RODRIGO 0
      MAMERTA JR 1 MAMERTA JR 0
      MANUEL 1 MANUEL 0
      NATIVIDAD 2 NATIVIDAD 0
      SHIELA MARIE 2 SHIELA MARIE 0
      ESTELITA 2 ESTELITA 0
      ARNOLD 1 ARNOLD 0
      DANILO 1 DANILO 0
      NESTOR 1 NESTOR 0
      JULIET 2 JULIET 0
      EDGAR 1 EDGAR 0
      CARLITO 1 CARLITO 0
      WILFREDO 1 WILFREDO 0
      MELCHORA 2 MELCHORA 0
      EMILY 2 EMILY 0
      MICHOYO 1 MICHOYO 0
      ENGKWEE 1 ENGKWEE 0
      EVELYN 2 EVELYN 0
      GLENDA 2 GLENDA 0
      HILDA 2 HILDA 0
      CARMEN 2 CARMEN 0
      AGNES 2 AGNES 0
      ROGELIO 1 ROGELIO 0
      FERDINAN 1 FERDINAN 0
      LARRY 1 LARRY 0
      LEN 2 LEN 0
      MARIA CONCEPCION 2 MARIA CONCEPCION 0
      MARCILA 2 MARCILA 0
      DIVINA 2 DIVINA 0
      GARIZALDE 1 GARIZALDE 0
      JUDITH 2 JUDITH 0
      NIKO 1 NIKO 0
      EDUARDO 1 EDUARDO 0
      JESIE 1 JESIE 0
      EILEEN 2 EILEEN 0
      ERICKSON 1 ERICKSON 0
      GEMMERICK 1 GEMMERICK 0
      ALAN 1 ALAN 0
      EVANGELINE 2 EVANGELINE 0
      NAVIL 1 NAVIL 0
      JERAMINE 1 JERAMINE 0
      RHODORA 2 RHODORA 0
      REYNALDO 1 REYNALDO 0
      TERRY JOY 2 TERRY JOY 0
      DIONA 2 DIONA 0
      NOEMI 2 NOEMI 0
      MINERVA 2 MINERVA 0
      EDGARDO 1 EDGARDO 0
      ROLAND 1 ROLAND 0
      JOSE 1 JOSE 0
      CRISTINA 2 CRISTINA 0
      DOREEN 2 DOREEN 0
      BRYAN 1 BRYAN 0
      SOFRONIA 2 SOFRONIA 0
      PZSTOR 1 PZSTOR 0
      RONALD 1 RONALD 0
      ANTONIO 1 ANTONIO 0
      LOUIE 1 LOUIE 0
      LEVITO 1 LEVITO 0
      ASUNCION 2 ASUNCION 0
      EDWIN 1 EDWIN 0
      BABYLYN 2 BABYLYN 0
      VON 1 VON 0
      JENALYN 2 JENALYN 0
      LEONORA 2 LEONORA 0
      NOLI 1 NOLI 0
      RYAN MARK 1 RYAN MARK 0
      PERCIVAL 1 PERCIVAL 0
      LORENZO A 1 LORENZO A 0
      SIGRID ERCE 1 SIGRID ERCE 0
      ALVIN 1 ALVIN 0
      EMMALYN 2 EMMALYN 0
      ALIAH INGRID 2 ALIAH INGRID 0
      JOSE 1 JOSE 0
      CORAZON 2 CORAZON 0
      MARLYN 2 MARLYN 0
      VINCENTE 1 VINCENTE 0
      BELTRAN 1 BELTRAN 0
      JANET 2 JANET 0
      MARINA 2 MARINA 0
      NOEL 1 NOEL 0
      FLORENTINO 1 FLORENTINO 0
      GILBERTO 1 GILBERTO 0
      RONAN 1 RONAN 0
      VICTORIA 2 VICTORIA 0
      ALFREDO 1 ALFREDO 0
      MARCELA E 2 MARCELA E 0
      ALMA 2 ALMA 0
      RICKY 1 RICKY 0
      MARGARITTA 2 MARGARITTA 0
      LORNA MARLENE 2 LORNA MARLENE 0
      WILLIAM 1 WILLIAM 0
      FELIMON 1 FELIMON 0
      NELSON 1 NELSON 0
      DAISY 2 DAISY 0
      MA TERESA 2 MA TERESA 0
      FRANCISCO 1 FRANCISCO 0
      ARTHURO JR 1 ARTHURO JR 0
      PHILIP JUDAL 1 PHILIP JUDAL 0
      PHILIP JOAN 1 PHILIP JOAN 0
      DANELITH 2 DANELITH 0
      DENNIS 1 DENNIS 0
      RICARDO 1 RICARDO 0
      DAVE 1 DAVE 0
      MAY SHELLY 2 MAY SHELLY 0
      OLIVER 1 OLIVER 0
      ESMERALDO 1 ESMERALDO 0
      JOEL 1 JOEL 0
      JERRY 1 JERRY 0
      EFRIEM 1 EFRIEM 0
      RONALD 1 RONALD 0
      ELVIRA 2 ELVIRA 0
      EUGENIO JR 1 EUGENIO JR 0
      WILFREDO 1 WILFREDO 0
      HUBENCIO 1 HUBENCIO 0
      EDGARDO 1 EDGARDO 0
      BONNE RISA 2 BONNE RISA 0
      FERDINAND 1 FERDINAND 0
      JUANITO 1 JUANITO 0
      JESSIE 1 JESSIE 0
      ANTONIO 1 ANTONIO 0
      PARLIE 2 PARLIE 0
      RANDOLPH 1 RANDOLPH 0
      CEASAR 1 CEASAR 0
      CATHERINE 2 CATHERINE 0
      CHRISTOPHER 1 CHRISTOPHER 0
      LIMUEL 1 LIMUEL 0
      ANALIZA 2 ANALIZA 0
      AMIE 2 AMIE 0
      RODERICK 1 RODERICK 0
      MARICEL 2 MARICEL 0
      MARJORIE 2 MARJORIE 0
      BERNARDO 1 BERNARDO 0
      VICENTE 1 VICENTE 0
      GARITO 1 GARITO 0
      HARLENE 2 HARLENE 0
      HARRIST 1 HARRIST 0
      DONALD 1 DONALD 0
      DONNA 2 DONNA 0
      BRYAN 1 BRYAN 0
      ARMANDO 1 ARMANDO 0
      RITCHELL 1 RITCHELL 0
      ARTHUR 1 ARTHUR 0
      SHIELA ANN 2 SHIELA ANN 0
      PETER LLOYD 1 PETER LLOYD 0
      SAMUEL 1 SAMUEL 0
      CYNTHIA 2 CYNTHIA 0
      ALLAN 1 ALLAN 0
      DENNIS JR 1 DENNIS JR 0
      LEO MARK 1 LEO MARK 0
      IMELDA 2 IMELDA 0
      EDDIE 1 EDDIE 0
      Asia
      Europe
      North America
      Australia
      barangay Freq Percent Cum
      183 3484 535 7468
      201 2947 453 100
      184 2141 329 7797
      194 1534 236 9129
      193 1524 234 8893
      145 1150 177 4927
      191 995 153 8531
      179 939 144 6762
      14 937 144 489
      190 904 139 8378
      172 861 132 6195
      177 850 131 6494
      192 836 128 8659
      46 808 124 1339
      178 804 123 6618
      187 802 123 8144
      165 793 122 5781
      156 755 116 5327
      185 755 116 7913
      197 738 113 9363
      186 702 108 8021
      169 641 098 5956
      199 620 095 9504
      130 615 094 4101
      144 580 089 475
      143 575 088 4661
      65 567 087 2012
      135 529 081 4406
      132 505 078 4218
      148 497 076 5056
      157 497 076 5403
      195 493 076 9205
      66 485 074 2087
      171 479 074 6063
      43 442 068 1157
      90 441 068 2702
      127 419 064 3961
      161 416 064 554
      61 412 063 1835
      4 408 063 15
      72 400 061 23
      182 387 059 6933
      110 380 058 3368
      134 379 058 4325
      180 377 058 682
      108 372 057 3271
      107 364 056 3214
      189 356 055 8239
      181 350 054 6874
      162 345 053 5593
      51 341 052 1469
      153 341 052 5171
      113 338 052 3477
      52 336 052 1521
      100 322 049 3024
      58 321 049 1714
      125 316 049 3878
      133 315 048 4267
      176 313 048 6364
      99 304 047 2974
      137 304 047 4495
      94 299 046 2811
      198 299 046 9409
      147 295 045 498
      196 291 045 9249
      54 289 044 1587
      38 287 044 969
      2 286 044 064
      164 286 044 566
      173 284 044 6239
      200 284 044 9547
      77 282 043 2413
      57 279 043 1665
      123 279 043 3789
      5 278 043 193
      136 275 042 4448
      118 269 041 3645
      175 268 041 6316
      188 266 041 8185
      64 264 041 1925
      111 264 041 3409
      124 261 04 3829
      131 261 04 4141
      166 259 04 5821
      23 257 039 668
      8 254 039 264
      69 253 039 219
      109 250 038 331
      117 246 038 3604
      42 238 037 1089
      98 237 036 2928
      60 235 036 1772
      174 234 036 6274
      67 233 036 2123
      88 232 036 2618
      119 231 035 3681
      62 228 035 187
      40 219 034 1032
      170 217 033 5989
      104 216 033 3112
      97 214 033 2891
      91 207 032 2734
      114 206 032 3509
      115 206 032 354
      70 203 031 2221
      106 198 03 3158
      122 198 03 3746
      47 193 03 1368
      44 190 029 1186
      160 190 029 5476
      32 188 029 836
      39 187 029 998
      68 187 029 2151
      45 183 028 1214
      30 180 028 783
      18 176 027 549
      16 174 027 519
      22 173 027 629
      34 172 026 88
      75 172 026 2361
      96 170 026 2858
      116 169 026 3566
      73 168 026 2326
      155 166 025 5211
      10 164 025 3
      121 160 025 3716
      13 159 024 345
      83 158 024 2519
      159 158 024 5447
      102 157 024 3055
      128 157 024 3985
      3 153 023 087
      19 153 023 573
      31 153 023 807
      103 152 023 3079
      7 147 023 225
      29 147 023 756
      163 147 023 5616
      50 146 022 1417
      37 145 022 925
      53 142 022 1542
      140 141 022 4547
      59 138 021 1736
      41 137 021 1053
      152 137 021 5119
      129 136 021 4006
      95 135 021 2832
      1 129 02 02
      26 127 02 708
      80 127 02 2466
      92 126 019 2753
      158 126 019 5423
      167 126 019 5841
      79 125 019 2447
      126 125 019 3897
      138 125 019 4514
      81 123 019 2485
      21 122 019 602
      55 122 019 1606
      86 121 019 2568
      33 114 018 853
      71 114 018 2239
      84 113 017 2536
      36 111 017 903
      168 110 017 5857
      56 109 017 1622
      89 108 017 2634
      48 106 016 1384
      112 106 016 3425
      151 106 016 5098
      105 105 016 3128
      28 98 015 733
      154 96 015 5186
      63 95 015 1885
      87 94 014 2582
      78 93 014 2427
      141 88 014 456
      150 87 013 5081
      85 86 013 2549
      142 83 013 4573
      93 80 012 2766
      12 76 012 321
      9 75 012 275
      149 75 012 5068
      24 72 011 679
      139 71 011 4525
      20 69 011 583
      120 69 011 3691
      25 64 01 689
      49 64 01 1394
      27 63 01 718
      6 62 01 202
      82 61 009 2494
      74 58 009 2335
      11 55 008 309
      76 55 008 237
      146 50 008 4935
      101 49 008 3031
      35 41 006 886
      15 24 004 493
      17 19 003 522
      Total 65116 100
      TYPE OF EXPENDITURE DIRECTION OF CHANGE
      Increase Remained the Same Decrease Not Applicable Prop-Increase Pro-Same Prop -decrease
      Food 1970 1054 236 - 3260 604 323 72
      Clothing 756 1739 765 - 3260 232 533 235
      Cooking Fuel 952 1893 415 - 3260 292 581 127
      Electricity 1715 1013 206 - 2934 585 345 70
      Water 804 1610 176 670 2590 310 622 68
      Education 545 1135 142 1438 1822 299 623 78
      Health 725 1451 436 648 2612 278 556 167
      Communication 578 1413 544 725 2535 228 557 215
      Transportation 570 1699 498 493 2767 206 614 180
      Recreation 223 1205 760 1072 2188 102 551 347
      Saudi Arabia
      United States of America
      Qatar
      United Kingdom
      Italy
      Others
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      Unemployment Rate
      2004 Jan 110
      Apr 137
      Jul 117
      Oct 109
      2005 Jan 113
      Apr 83
      Jul 77
      Oct 74
      2006 Jan 81
      Apr 82
      Jul 80
      Oct 73
      2007 Jan 78
      Apr 74
      Jul 78
      Oct 63
      2008 Jan 74
      Apr 80
      Jul 74
      Oct 68
      2009 Jan 77
      Apr 75
      Jul 76
      Unemployment Rate
      Q12004 11
      Q22004
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      FOB Value Growth rate year-on-year
      2007 Jan 39869 218
      Feb 37173 78
      Mar 44775 73
      Apr 41173 51
      May 41216 61
      Jun 41167 15
      Jul 41880 43
      Aug 41041 (40)
      Sep 43725 46
      Oct 46484 105
      Nov 39475 (21)
      Dec 44724 214
      2008 Jan 42306 60
      Feb 41120 105
      Mar 41931 (66)
      Apr 43247 49
      May 42241 23
      Jun 45134 88
      Jul 44372 44
      Aug 43930 66
      Sep 44387 11
      Oct 39710 (148)
      Nov 35130 (114)
      Dec 26746 (403)
      2009 Jan 251119 (406)
      Feb 250629 (391)
      Mar 290673 (308)
      Apr 280311 (352)
      May 308786 (269)
      Jun 340630 (248)
      Jul 331077 (254)
      Aug 347289 (210)
      Sep 363398 (183)
      2007 2008 2009
      Month FOB Value Growth Rates FOB Value Growth Rates FOB Value Growth Rates
      Jan 39869 218 42306 60 251119 (406)
      Feb 37173 78 41120 105 250629 (391)
      Mar 44775 73 41931 (66) 290673 (308)
      Apr 41173 51 43247 49 280311 (352)
      May 41216 61 42241 23 308786 (269)
      Jun 41167 15 45134 88 340630 (248)
      Jul 41880 43 44372 44 331077 (254)
      Aug 41041 (40) 43930 66 347289 (210)
      Sep 43725 46 44387 11 363398 (183)
      Oct 46484 105 39710 (148)
      Nov 39475 (21) 35130 (114)
      Dec 44724 214 26746 (403)
      2007 2008 2009
      Month Levels Growth Rates Levels Growth Rates Levels Growth Rates
      Jan 10994 199 12640 150 12655 01
      Feb 10855 254 12586 159 13200 49
      Mar 13048 264 14278 94 14715 31
      Apr 11915 326 14102 184 14417 22
      May 12371 84 14298 156 14822 37
      Jun 11158 10 14508 300 14987 33
      Jul 10966 46 13668 246 14940 93
      Aug 12069 106 13320 104 13691 28
      Sep 11398 124 13329 169
      Oct 13885 171 14347 33
      Nov 11870 38 13113 105
      Dec 13970 59 14077 08
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      Amount Growth rate year-on-year
      2007 Jan 10994 199
      Feb 10855 254
      Mar 13048 264
      Apr 11915 326
      May 12371 84
      Jun 11158 10
      Jul 10966 46
      Aug 12069 106
      Sep 11398 124
      Oct 13885 171
      Nov 11870 38
      Dec 13970 59
      2008 Jan 12640 150
      Feb 12586 159
      Mar 14278 94
      Apr 14102 184
      May 14298 156
      Jun 14508 300
      Jul 13668 246
      Aug 13320 104
      Sep 13329 169
      Oct 14347 33
      Nov 13113 105
      Dec 14077 08
      2009 Jan 12655 01
      Feb 13200 49
      Mar 14715 31
      Apr 14417 22
      May 14822 37
      Jun 14987 33
      Jul 14940 93
      Aug 13691 28
      Jan2007
      Apr
      Jul
      Oct
      Jan2008
      Apr
      Jul
      Oct
      Jan2009
      Apr
      Jul
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      Unemployment Rate
      2004 Q1 110
      Q2 137
      Q3 117
      Q4 109
      2005 Q1 113
      Q2 83
      Q3 77
      Q4 74
      2006 Q1 81
      Q2 82
      Q3 80
      Q4 73
      2007 Q1 78
      Q2 74
      Q3 78
      Q4 63
      2008 Q1 74
      Q2 80
      Q3 74
      Q4 68
      2009 Q1 77
      Q2 75
      Q3 76
      Unemployment Rate
      Q12004 11
      Q22004
      Year Q1 Q2 Q3 Q4
      2004 110 137 117 109
      2005 113 83 77 74
      2006 81 82 80 73
      2007 78 74 78 63
      2008 74 80 74 68
      2009 77 75 76
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      FOB Value Growth rate year-on-year
      2007 Jan 39869 218
      Feb 37173 78
      Mar 44775 73
      Apr 41173 51
      May 41216 61
      Jun 41167 15
      Jul 41880 43
      Aug 41041 (40)
      Sep 43725 46
      Oct 46484 105
      Nov 39475 (21)
      Dec 44724 214
      2008 Jan 42306 60
      Feb 41120 105
      Mar 41931 (66)
      Apr 43247 49
      May 42241 23
      Jun 45134 88
      Jul 44372 44
      Aug 43930 66
      Sep 44387 11
      Oct 39710 (148)
      Nov 35130 (114)
      Dec 26746 (403)
      2009 Jan 251119 (406)
      Feb 250629 (391)
      Mar 290673 (308)
      Apr 280311 (352)
      May 308786 (269)
      Jun 340630 (248)
      Jul 331077 (254)
      Aug 347289 (210)
      Sep 363398 (183)
      2007 2008 2009
      Month FOB Value Growth Rates FOB Value Growth Rates FOB Value Growth Rates
      Jan 39869 218 42306 60 251119 (406)
      Feb 37173 78 41120 105 250629 (391)
      Mar 44775 73 41931 (66) 290673 (308)
      Apr 41173 51 43247 49 280311 (352)
      May 41216 61 42241 23 308786 (269)
      Jun 41167 15 45134 88 340630 (248)
      Jul 41880 43 44372 44 331077 (254)
      Aug 41041 (40) 43930 66 347289 (210)
      Sep 43725 46 44387 11 363398 (183)
      Oct 46484 105 39710 (148)
      Nov 39475 (21) 35130 (114)
      Dec 44724 214 26746 (403)
      2007 2008 2009
      Month Levels Growth Rates Levels Growth Rates Levels Growth Rates
      Jan 10994 199 12640 150 12655 01
      Feb 10855 254 12586 159 13200 49
      Mar 13048 264 14278 94 14715 31
      Apr 11915 326 14102 184 14417 22
      May 12371 84 14298 156 14822 37
      Jun 11158 10 14508 300 14987 33
      Jul 10966 46 13668 246 14940 93
      Aug 12069 106 13320 104 13691 28
      Sep 11398 124 13329 169
      Oct 13885 171 14347 33
      Nov 11870 38 13113 105
      Dec 13970 59 14077 08
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      0 0
      1 1 1 1 1 1
      Amount Growth rate year-on-year
      2007 Jan 10994 199
      Feb 10855 254
      Mar 13048 264
      Apr 11915 326
      May 12371 84
      Jun 11158 10
      Jul 10966 46
      Aug 12069 106
      Sep 11398 124
      Oct 13885 171
      Nov 11870 38
      Dec 13970 59
      2008 Jan 12640 150
      Feb 12586 159
      Mar 14278 94
      Apr 14102 184
      May 14298 156
      Jun 14508 300
      Jul 13668 246
      Aug 13320 104
      Sep 13329 169
      Oct 14347 33
      Nov 13113 105
      Dec 14077 08
      2009 Jan 12655 01
      Feb 13200 49
      Mar 14715 31
      Apr 14417 22
      May 14822 37
      Jun 14987 33
      Jul 14940 93
      Aug 13691 28
      Jan2007 Jan2007
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2008 Jan2008
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Oct Oct
      Nov Nov
      Dec Dec
      Jan2009 Jan2009
      Feb Feb
      Mar Mar
      Apr Apr
      May May
      Jun Jun
      Jul Jul
      Aug Aug
      Sep Sep
      Site No of HHs Pantawid Pamilya Pilipino Program (4Ps) NFA rice access program Comprehensive Livelihood amp Emergency Employment Program (CLEEP) Self-Employment Assistance-Kaunlaran (SEA-K) Emergency loan for SSS members who were retrenched since Jan 2009 Pag-ibig Special Short-term Loan (STL) Program for displaced workers 6-month pay package for laid-off electronic workers Botika ng Barangay Program Day care center services Barangay health services
      Rural
      Ando 174 57 06 81 06 0 06 11 0 86 178 425
      Salvacion 237 3 0 89 0 46 0 04 0 447 165 878
      San Miguel 269 156 0 602 04 0 0 0 0 26 63 327
      Urban Outside NCR
      Gumamela 432 137 12 521 0 0 0 0 0 25 56 162
      Magbangon 259 459 0 371 0 0 0 04 0 69 35 58
      Masikap 227 35 0 62 0 0 31 13 0 22 0 128
      Poblacion III 466 30 02 163 04 0 0 0 04 185 82 15
      Villa Angeles 354 627 0 107 0 03 34 45 0 06 25 51
      Urban NCR
      192 856 - 0 298 01 0 09 07 0 65 53 118
      TOTAL
      No 3274 607 7 1218 5 12 28 29 2 403 212 673
      1000 185 02 372 02 04 09 09 0 123 65 206
      Total Male Female
      Region Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Asia 15 555 12 80 3 20
      Europe 6 222 4 667 2 333
      North America 5 185 3 60 2 40
      Australia 1 37 0 0 1 100
      Total 27 100 19 704 7 296
      Region No of OFWs
      Asia 15
      Europe 6
      North America 5
      Australia 1
      Total 27
      All Sectors Manufacturing
      2007 Q1 156 -046
      Q2 357 03
      Q3 331 -008
      Q4 287 081
      2008 Q1 476 386
      Q2 199 0
      Q3 205 -037
      Q4 069 01
      2009 Q1 027 -138
      Q2 221 224
      Q12007 Q12007
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12008 Q12008
      Q2 Q2
      Q3 Q3
      Q4 Q4
      Q12009 Q12009
      Q2 Q2
      withdrawsy_fn withdrawsy_fn sex
      ELMER JR 1 DENESSA 2
      REYNAN 1 ELMER JR 1
      ROBERT 1 ARMIE 2
      CARYLLE KAYE 2 GILBERT 1
      ALVIN 1 DANTE 1
      KIETH CYRILL 1 RONALD 1
      JOVEN 1 JALLY 2
      BENIGNO 1 REYNAN 1
      ALVIN 1 ROBERT 1
      DENMARK E 1 BRENDA 2
      DON CARLO D 1 BEBETH 2
      DENESSA 2 ALVIN 1
      GILBERT 1 MA FE 2
      DANTE 1 YMEL 1
      REGGIE 1 JOVEN 1
      RONALD 1 JOHN MANUEL 1
      JALLY 2 JUN-JUN 1
      KOBE BRYAN 1 JOHN LUIS 1
      MA FE 2 KENNETH 1
      YMEL 1 MA ELINA 2
      BRENDA 2 BERSON 1
      FRANCIS EDD 1 GLENN IRETH 1
      FRANCIS GABRIELLE 1 ALVIN 1
      JOHN MICO 1 DENMARK E 1
      OMAR JOSEPH 1 DON CARLO D 1
      DHANVER 1 DHANVER 1
      BEBETH 2 KOBE BRYAN 1
      ARMIE 2 REGGIE 1
      BERSON 1 KIETH CYRILL 1
      GLENN IRETH 1 CARYLLE KAYE 2
      JOHN MANUEL 1 BENIGNO 1
      MA ELINA 2 JOHN MICO 1
      JUN-JUN 1 OMAR JOSEPH 1
      JOHN LUIS 1 FRANCIS EDD 1
      KENNETH 1 FRANCIS GABRIELLE 1
      No No of Withdrawn Children
      Male 2093 27 13 2066 27
      Female 1916 8 04 1908 8
      Total 4009 35 17
      privtopubsy_fn sex
      RINA 2
      MARIEL 2
      JOHN DANE 1
      JOSHUA 1
      ROLANDO 1
      GERALDWIN 1
      SAVINA 2
      AIKE 1
      HAROLD 1
      DARREL 1
      ARVIN 1
      PAUL JOHN 1
      JAN AIGRETTE 2
      MARIA CLAUDINE 2
      GERRY 1
      DOMINIC ALLEYAH 2
      No of Students No of Children who Shifted from Private to Public School
      Male 2066 10 05
      Female 1908 8 04
      Total 3974 18 09
      Gross Domestic Product Net Factor Income from Abroad and Gross National Product1st Qtr 2003 -2nd Qtr 2009(in million PhP)
      Period At Current Prices At Constant 1985 Prices
      GDP NFIA GNP GDP NFIA GNP
      2003 4316402 315077 4631479 1085072 86359 1171431
      Q1 994224 68550 1062773 253672 19168 272840
      Q2 1032440 80778 1113218 264189 22243 286432
      Q3 1057502 83314 1140816 264671 22665 287337
      Q4 1232236 82435 1314672 302539 22283 324822
      2004 4871555 376509 5248064 1154295 98036 1252331
      Q1 1109078 84329 1193407 271817 22828 294644
      Q2 1170574 97245 1267820 282939 25580 308518
      Q3 1198554 97202 1295756 279581 24853 304443
      Q4 1393348 97733 1491081 319959 24776 344735
      2005 5444038 447145 5891183 1211452 108548 1320000
      Q1 1234383 100221 1336605 284063 25239 309303
      Q2 1316400 112436 1428836 297426 27429 324855
      Q3 1334509 107281 1441790 292665 25680 318345
      Q4 1558746 127206 1685953 337298 30199 367497
      2006 6031164 500940 6532104 1276156 115133 1391289
      Q1 1386083 112729 1489912 299681 26491 326172
      Q2 1454772 129652 1584423 313112 29825 342937
      Q3 1476946 113828 1590774 307750 26008 333757
      Q4 1713364 144731 1858095 355613 32808 388421
      2007 6647338 579974 7227312 1366493 129098 1495589
      Q1 1523149 117930 1641079 320326 26866 347192
      Q2 1617711 160029 1777741 339218 35809 375026
      Q3 1610729 152413 1763142 328795 33671 362466
      Q4 1895749 149601 2045350 378154 32750 410905
      2008 7423213 827036 8250249 1418952 168845 1587797
      Q1 1660335 168092 1828427 332890 36603 369494
      Q2 1833916 201478 2035395 353331 41456 394787
      Q3 1853440 209295 2062735 343784 41280 385063
      Q4 2075522 248170 2323692 388948 49507 438454
      2009
      Q1 1738762 230951 1969713 334866 46035 380901
      Q2 1869888 274822 2144710 358460 53758 412218
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      Sex Lost job Individuals who lost job
      Magnitude Proportion Individuals who Lost Job Members of the Labor Force
      Total 107 100 Male 65 3213 20
      Female 42 2036 21
      Male 65 608 Total 107 5249 41
      Female 42 393
      Statistics Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Population 15 years and over 9657 100 4765 493 4892 507
      Labor force 5249 100 3213 612 2036 388
      Employed persons 4630 100 2880 622 1750 378
      Unemployed persons 619 100 333 538 286 462
      Labor force participation rate 544 674 416
      Employment rate 882 896 86
      Unemployment rate 118 104 14
      Indicator Magnitude
      No of Households 3274
      HH with member who lost job 90 28
      Statistics Total Male Female
      No No
      Population 15 years and over 9657 4765 493 4892 507
      Labor force 5249 3213 612 2036 388
      Employed persons 4630 2880 622 1750 378
      Unemployed persons 619 333 538 286 462
      Indicator Rural Urban NCR Urban Outside NCR Total
      Magnitude Proportion Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH with returning OFW 17 246 26 366 124 413 167 38
      HH with returning OFW who was retrenched or laid off from work 2 118 2 77 23 185 27 162
      HH with OFW who experienced wage reduction 2 29 11 155 28 93 41 94
      HH who received remittances during the past 12 months 63 913 60 845 264 88 387 88
      HH who received remittances during the past 6 months 67 971 71 100 298 993 436 991
      HH who experienced a decline in the amount of remittances received 7 104 13 183 20 67 40 92
      HH who experienced a decline in the frequency of receipt of remittances 4 6 9 127 19 64 32 73
      Indicator Rural Urban NCR Urban Outside NCR Total
      Magnitude Proportion Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH with OFW who experienced wage reduction 2 29 11 155 28 93 41 94
      Area Households HHs with OFW HH with OFW who experienced wage reduction
      Rural No 680 69 2
      101 29
      Urban NCR No 856 71 11
      83 155
      Urban Outside NCR No 1738 300 28
      173 93
      Total No 3274 440 41
      134 94
      Indicator Rural Urban NCR Urban Outside NCR Total
      No No No No
      Households 680 856 1738 3274
      HH with OFW 69 101 71 83 300 173 440 134
      HH who received remittances during the past 6 months 67 971 71 100 298 993 436 991
      HH who experienced a decline in the amount of remittances received 7 104 13 183 20 67 40 92
      HH who experienced a decline in the frequency of receipt of remittances 4 6 9 127 19 64 32 73
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      Growth Rate Real GDP Real GDP (PM)
      2003 Q1 253672 253672
      Q2 264189 264189
      Q3 264671 264671
      Q4 302539 302539
      2004 Q1 72 271817 271817
      Q2 71 282939 282939
      Q3 56 279581 279581
      Q4 58 319959 319959
      2005 Q1 45 284063 284063
      Q2 51 297426 297426
      Q3 47 292665 292665
      Q4 54 337298 337298
      2006 Q1 55 299681 299681
      Q2 53 313112 313112
      Q3 52 30775 307750
      Q4 54 355613 355613
      2007 Q1 69 320326 320326
      Q2 83 339218 339218
      Q3 68 328795 328795
      Q4 63 378154 378154
      2008 Q1 39 33289 332890
      Q2 42 353331 353331
      Q3 46 343784 343784
      Q4 29 388948 388948
      2009 Q1 06 334866 334866
      Q2 15 35846 358460
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o
      Outcome variables Magnitude
      Overseas Employment and Remittances
      HHs with OFW who returned from abroad due to retrenchmentlay-off 27 61
      HHs with OFW who experienced wage reduction 41 94
      HHs with remittances declined in terms of amount 40 92
      HHs with remittances declined in terms of frequency 32 73
      Local Employment
      HHs with business closedshutdown 17 11
      HHs with income from business declined 110 69
      HHs with employees in business got laid-off 3 02
      HHs with member who lost job 90 28
      HHs with members who experienced wage reduction 74 23
      HHs with members who experienced reduction in working hours 65 2
      HHs with members who experienced reduction in employment benefits 8 03
      Table ___ Households coping strategies on tapping of various fund sources by location 2009
      Coping Strategies Total
      Magnitude Proportion
      Used savings 440 134
      Sold assets 64 2
      Pawned assets 157 48
      Tried to borrow money 1330 406
      Borrowed money 1290 394
      Defaulted on debt 193 59
      Table __ Households coping strategies on employment by location 2009
      Coping Strategies Total
      Magnitude Proportion
      Looked for additional work 183 56
      Did additional work 144 44
      Employed members not previously working 59 18
      Looked for work abroad 53 16
      rb_fn sex
      ARNOLD 1
      ANNIELYN 2
      ELMER 1
      ROLAN 1
      ARIES 1
      NORA 2
      LYDIA 2
      APOLINARIO 1
      No of Employed Persons With Reduced Benefits With Wage Reduction
      No No
      Male 2880 5 017 47 16
      Female 1750 3 017 36 21
      Total 4630 8 017 83 18
      rw_fn sex
      CALIXTO P 1
      GEDION 1
      ERNESTO JR 1
      RUBY ANN 2
      CAROLYN 2
      RAMIL 1
      JESS CHRISTOPHER 1
      EFREN 1
      ALFREDO 1
      ROSALIE 2
      PERCIVAL 1
      JOMER 1
      ARTURO 1
      ORLANDO SR 1
      ROBERTO 1
      DAISY 2
      VICTOR 1
      ARMAN SR 1
      MARIAN 2
      ANNIELYN 2
      ELMER 1
      NAIDA 2
      LEVY II 1
      OFELIA 2
      RODERICK 1
      ANNALYN 2
      ROLAN 1
      EFREN 1
      ROGELIO 1
      LOURDES 2
      JAIME 1
      LANIE 2
      ISABELITA 2
      PRISCILLA 2
      LELAND LLOYD 1
      RANDY 1
      ROLANDO JR 1
      MARILYN 2
      ERIC 1
      ROSEMARIE 2
      MAXIMA 2
      JAMES 1
      RAUL 1
      NICK 1
      NORMITA 2
      LORNA 2
      RONA 2
      NORA 2
      JOSEPH 1
      LERMA 2
      GEBOY 1
      SIMPLICIA 2
      NAZAR 1
      DELIA M 2
      NENITA 2
      JUVIELYN 2
      JOSEPHINE 2
      WILLIAM 1
      ROY VINCENT 1
      CLEOFAS 1
      ELYMAR 1
      BRIENDEL 1
      ANNALISA 2
      RAFAEL 1
      LAWRENCE R 1
      SHERWIN L 1
      NELLIE M 2
      LOVELYN 2
      REDEN 1
      MA CRISTINA 2
      JONALIE 2
      SHERYL 2
      ROLANDO 1
      MARY JANE 2
      JONEL 1
      ALBERT 1
      CARLOS 1
      HENRY 1
      GEMMA 2
      EDGARDO H 1
      LYDIA 2
      ROSITA 2
      ELVIS 1
      No of Employed Persons No of Members With Wage Reduction
      Male 2880 47 16
      Female 1750 36 21
      Total 4630 83 18
      Quintile Total
      1 2 3 4 5
      Magnitude Magnitude Magnitude Magnitude Magnitude Magnitude
      Did avail 439 36 325 267 237 195 138 113 79 65 1218 100
      778 647 544 326 203 526
      Did not access 125 114 177 161 199 181 285 26 311 284 1097 100
      222 353 456 674 797 474
      Total 564 244 502 217 436 188 423 183 390 169 2315 100
      100 100 100 100 100 100
      Access to NFA rice program
      Quintile Magnitude Proportion Total No of HHs 100
      1 439 778 564
      2 325 647 502
      3 237 544 436
      4 138 326 423
      5 79 203 390
      Total 1218 526 2315
      Quintile Magnitude Share
      1 439 360
      2 325 267
      3 237 195
      4 138 113
      5 79 65
      Total 1218 1000
      rh_fn sex
      JOSE RUEL 1
      CAROLYN 2
      RICHARD 1
      BAMBI CORAZON 2
      MICHAEL 1
      EVANGELINE 2
      EDILBERTO 1
      ALFREDO 1
      ROSALIE 2
      LENY 2
      FERNANDO 1
      SHIELA 2
      JOMER 1
      ROBERTO 1
      DAISY 2
      ARMAN SR 1
      ELMER 1
      NAIDA 2
      RACHELY 2
      ANNALYN 2
      ROGELIO 1
      LOURDES 2
      ROGEL 1
      JAIME 1
      LANIE 2
      ISABELITA 2
      PRISCILLA 2
      LELAND LLOYD 1
      RANDY 1
      ROLANDO JR 1
      MARILYN 2
      ERIC 1
      ROSEMARIE 2
      MAXIMA 2
      JAMES 1
      NICK 1
      NORMITA 2
      LORNA 2
      RONA 2
      NORA 2
      JOSEPH 1
      GEBOY 1
      SIMPLICIA 2
      DELIA M 2
      JUVIELYN 2
      NENITA 2
      JOSEPHINE 2
      WILLIAM 1
      ROY VINCENT 1
      CLEOFAS 1
      ELYMAR 1
      BRIENDEL 1
      ANNALISA 2
      RAFAEL 1
      LAWRENCE R 1
      SHERWIN L 1
      NELLIE M 2
      LOVELYN 2
      REDEN 1
      MA CRISTINA 2
      JONALIE 2
      SHERYL 2
      ROLANDO 1
      MARY JANE 2
      JONEL 2
      ALBERT 1
      HENRY 1
      GEMMA 2
      EDGARDO H 1
      LYDIA 2
      ROSITA 2
      ELVIS 1
      HILDA 2
      No of Employed Persons No of Members With Reduced Working Hours
      Male 2880 37 13
      Female 1750 36 21
      Total 4630 73 16
      Type of Job Magnitude Proportion
      Plant and Machine Operators and Assemblers 35 480
      Service Workers and Shop and Market Sales Workers 14 192
      Officials of Government and Special-Interests 7 96
      Clerks 5 69
      Trades and Related Workers 3 41
      Laborers and Unskilled Workers 3 41
      Physical Mathematical and Engineering 2 27
      Technician and Associate Professionals 2 27
      Unspecified 2 27
      Total 73 100
      Type of Job Magnitude Proportion
      Plant and Machine Operators and Assemblers 35 480
      Service Workers and Shop and Market Sales Workers 14 192
      Officials of Government and Special-Interests 7 96
      Clerks 5 69
      Trades and Related Workers 3 41
      Laborers and Unskilled Workers 3 41
      Others (including unspecified) 6 82
      Total 73 100
      Program Rural Urban Outside NCR Urban NCR Total
      Ando Salvacion San Miguel Gumamela Magbangon Masikap Poblacion III Villa Angeles 192 No
      No of HHs 174 237 269 432 259 227 466 354 856 3274 1000
      57 3 156 137 459 35 30 627 - 607 185
      Pantawid Pamilya Pilipino Program (4Ps)
      06 0 0 12 0 0 02 0 0 7 02
      NFA rice access program
      81 89 602 521 371 62 163 107 298 1218 372
      Comprehensive Livelihood amp Emergency Employment Program (CLEEP)
      06 0 04 0 0 0 04 0 01 5 02
      Self-Employment Assistance-Kaunlaran (SEA-K) 0 46 0 0 0 0 0 03 0 12 04
      Emergency loan for SSS members who were retrenched since Jan 2009 06 0 0 0 0 31 0 34 09 28 09
      Pag-ibig Special Short-term Loan (STL) Program for displaced workers 11 04 0 0 04 13 0 45 07 29 09
      6-month pay package for laid-off electronic workers 0 0 0 0 0 0 04 0 0 2 0
      Botika ng Barangay Program 86 447 26 25 69 22 185 06 65 403 123
      Day care center services 178 165 63 56 35 0 82 25 53 212 65
      Barangay health services 425 878 327 162 58 128 15 51 118 673 206
      0
      0
      0
      0
      0
      0
      0
      Industry Total Male Female
      No No No
      Private households with employed person 6 222 3 50 3 50
      Health and social work 5 186 1 20 4 80
      Manufacturing 4 148 4 100 0 0
      Transport storage and communication 3 111 3 100 0 0
      Financial intermediation 3 111 2 667 1 333
      Real estate renting and business activity 2 74 2 100 0 0
      Hotel and restaurants 1 37 1 100 0 0
      Wholesale amp retail trade repair of motor vehicles motorcycles and personal household goods 1 37 1 100 0 0
      Other community social and personal service activities 1 37 1 100 0 0
      Construction 1 37 1 100 0 0
      Total 27 100 19 704 8 296
      Male 19 704
      Female 8 296
      Industry Retrenched OFWs
      No
      Private households with employed person A 6 222
      Health and social work B 5 186
      Manufacturing C 4 148
      Transport storage and communication D 3 111
      Financial intermediation E 3 111
      Real estate renting and business activity F 2 74
      Others G 4 37
      Total 27 100
      Male 19 704
      Female 8 296
      0
      0
      0
      0
      0
      0
      Table __ Members who lost job by type of job
      Type of Job Magnitude Proportion
      Service workers and shop and market sal A 26 243
      Professionals B 21 196
      Laborers and skilled workers C 19 178
      Plant and machine operators and assembl D 15 140
      Technicians and associate professionals E 8 75
      Others F 18 168
      Total 107 1000
      Clerks 7 65
      Trades and related workers 7 65
      Officials of government and special interest 4 37
      Table ___ Members who lost job by industry
      Industry No
      Mining and quarying 2 187
      Manufacturing 22 2056
      Electricity gas and water supply 3 28
      Construction 3 28
      Wholesale amp retail trade repair of mot 8 748
      Hotel and restaurants 8 748
      Transport storage and communication 7 654
      Financial intermediation 5 467
      Real estate renting and business activ 2 187
      Public administration and defense comp 7 654
      Education 12 1121
      Health and social work 4 374
      Other community social and personal se 9 841
      Private households with employed person 14 1308
      Extra-territorial organizations and bod 1 093
      Total 107 100
      Growth Rate Real GDP Real GDP (PM)
      2004 Q1 72 271817 271817
      Q2 71 282939 282939
      Q3 56 279581 279581
      Q4 58 319959 319959
      2005 Q1 45 284063 284063
      Q2 51 297426 297426
      Q3 47 292665 292665
      Q4 54 337298 337298
      2006 Q1 55 299681 299681
      Q2 53 313112 313112
      Q3 52 30775 307750
      Q4 54 355613 355613
      2007 Q1 69 320326 320326
      Q2 83 339218 339218
      Q3 68 328795 328795
      Q4 63 378154 378154
      2008 Q1 39 33289 332890
      Q2 42 353331 353331
      Q3 46 343784 343784
      Q4 29 388948 388948
      2009 Q1 06 334866 334866
      Q2 15 35846 358460
      Q3 08 346405 346405
      NFIA - Net Factor Income from Abroad (including interest payments on public debt in its o ]
      71
      39
      Reason for the lost of Job Magnitude Proportion
      The firm is incurring losses 35 330
      The firm is downsizing and reducing costs 11 104
      The firm went bankrupt and closed 7 66
      Violated company lawsby-laws 3 28
      Corporate restructuring 1 09
      Others specify 49 462
      Outcome variables Magnitude
      Dummy = 1 if OFW returned from abroad due to retrenchmentlay-off 27 162
      Dummy = 1 if OFW experienced wage reduction 41 94
      Dummy = 1 if remittances declined in terms of amount 40 92
      Dummy = 1 if remittances declined in terms of frequency 32 73
      Dummy = 1 if business closedshutdown 17 11
      Dummy = 1 if income from business declined 110 69
      Dummy = 1 if employees in business got laid-off 3 02
      Dummy = 1 if lost job 90 28
      Dummy = 1 if wage reduced 74 23
      Dummy = 1 if working hours reduced 65 2
      Dummy = 1 if employment benefits reduced 8 03
      0
      0
      Country Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Saudi Arabia 7 304 6 857 1 143
      United States of America 4 174 2 50 2 50
      Qatar 3 13 2 667 1 333
      United Kingdom 3 13 2 667 1 333
      Italy 2 87 1 50 1 50
      Others 8 348 6 75 2 25
      Total 27 100 19 704 8 296
      Country No of OFWs Retrenched OFWs
      Saudi Arabia 7 Male 19
      United States of America 4 Female 8
      Qatar 3
      United Kingdom 3
      Italy 2
      Others 8
      Total 27
      No of OFWs No of Retrenched OFWs
      Male 298 19 64
      Female 213 8 38
      Total 511 27 53
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      0
      wage Reduction
      Country Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      Saudi Arabia 16 381 15 938 1 63 No of OFWs
      USA 4 95 4 100 0 0 Male 32
      Hong Kong SAR 4 95 1 25 3 75 Female 10 761904761905
      Qatar 3 71 2 667 1 333
      Singapore 2 48 2 100 0 0
      DPRK 2 48 2 100 0 0
      Others 8 191 3 375 5 625
      Unspecified 3 71 3 100 0 0
      Total 42 100 32 762 10 238
      Country No of OFWs
      Saudi Arabia 16
      USA 4
      Hong Kong SAR 4
      Qatar 3
      Singapore 2
      DPRK 2
      Others 8
      Unspecified 3
      Total 42
      No of OFWs No of OFWs who Experienced Wage Reduction
      Male 298 32 107
      Female 213 10 47
      Total 511 42 82
      Type of Job No Percent
      Service Workers and Shop and Market Sal 13 3095
      Technician and Associate Professionals 6 1429
      Trades and Related Workers 6 1429
      Laborers and Unskilled Workers 6 1429
      Plant and Machine Operators and Assembl 5 119
      Physical Mathematical and Engineering 3 714
      Officials of Government and Special-Int 2 476
      Special Occupations 1 238
      Total 42 100
      Type of Job No Percent
      Service Workers and Shop and Market Sal A 13 310
      Technician and Associate Professionals B 6 143
      Trades and Related Workers C 6 143
      Laborers and Unskilled Workers D 6 143
      Plant and Machine Operators and Assembl E 5 119
      Others F 6 143
      Total 42 1000
      Male Female Total
      No of OFWs 298 213 511
      No of OFWs who Experienced Wage Reduction 32 10 42
      107 47 82
      0
      0
      0
      0
      0
      Type of Job Total Male Female
      Magnitude Proportion Magnitude Proportion Magnitude Proportion
      All Occupations 27 100 19 704 8 296
      Professionals 9 333 5 556 4 444
      Service workers and shop and market sales worker 5 185 3 60 2 40
      Plant and machine operators and assemblers 5 185 5 100 0 0
      Trades and related workers 3 111 2 667 1 333
      Officials of government and special interest organization corporate executives managers managing proprietors and supervisors 1 37 1 100 0 0
      Technicians and associate professionals 1 37 1 100 0 0
      Clerks 1 37 1 100 0 0
      Laborers and skilled workers 1 37 1 100 0 0
      Special occupations 1 37 0 0 1 100
      Type of Job No of OFWs
      Professionals A 9
      Service workers and shop and market sales worker B 5
      Plant and machine operators and assemblers C 5
      Trades and related workers D 3
      Others E 5
      ofwfn sex ofwfn
      ELMIDA 2 ELMIDA 0
      FLORES 2 FLORES 0
      LILIA 2 LILIA 0
      ALONA 2 ALONA 0
      NOREEN 2 NOREEN 0
      MONICA 2 MONICA 0
      CARLITO 1 CARLITO 0
      MA NIMFA 2 MA NIMFA 0
      ELENA 2 ELENA 0
      ISIDRA 2 ISIDRA 0
      FELIZA 2 FELIZA 0
      REMEDIOS 2 REMEDIOS 0
      FELIXBERTO 1 FELIXBERTO 0
      MARTINA 2 MARTINA 0
      VIRGINE 2 VIRGINE 0
      EMILY 2 EMILY 0
      HAYDEE 2 HAYDEE 0
      NENITA 2 NENITA 0
      YOLANDA 2 YOLANDA 0
      EDGARDO 1 EDGARDO 0
      EMMA 2 EMMA 0
      DAN 1 DAN 0
      ROEL 1 ROEL 0
      GENARO 1 GENARO 0
      LINA 2 LINA 0
      ALPHA 2 ALPHA 0
      BLECHA 2 BLECHA 0
      MICHELE 2 MICHELE 0
      ABENCIO 1 ABENCIO 0
      RUBEN 1 RUBEN 0
      ANTONIA 2 ANTONIA 0
      LIZA 2 LIZA 0
      CRISTY 2 CRISTY 0
      SHERYL 2 SHERYL 0
      EVELYN 2 EVELYN 0
      MA GLORIA 2 MA GLORIA 0
      MARIE 2 MARIE 0
      MERIAM 2 MERIAM 0
      FILMA 2 FILMA 0
      ELSIE 2 ELSIE 0
      SHERLYN 2 SHERLYN 0
      MYRNA 2 MYRNA 0
      EVELYN 2 EVELYN 0
      ELDIE 2 ELDIE 0
      VILMA 2 VILMA 0
      CYRIL 2 CYRIL 0
      YOLANDA 2 YOLANDA 0
      JELANIE 2 JELANIE 0
      NOEMA 2 NOEMA 0
      EMMENUEL SR 1 EMMENUEL SR 0
      EMMA 2 EMMA 0
      ANALYN 2 ANALYN 0
      NIDA 2 NIDA 0
      LORNA 2 LORNA 0
      LELIA 2 LELIA 0
      VILMA 2 VILMA 0
      ETHELINDA 2 ETHELINDA 0
      MELANIO 1 MELANIO 0
      MYRNA 2 MYRNA 0
      MARY ANN 2 MARY ANN 0
      EMY 2 EMY 0
      EVA 2 EVA 0
      CONSHITA 2 CONSHITA 0
      LORNA 2 LORNA 0
      EVELYN 2 EVELYN 0
      NILCHA 2 NILCHA 0
      NIDA 2 NIDA 0
      TILLY 2 TILLY 0
      TERESITA 2 TERESITA 0
      NIMFA 2 NIMFA 0
      AGNES 2 AGNES 0
      NIMA 2 NIMA 0
      MARITES 2 MARITES 0
      MARINETTE 2 MARINETTE 0
      NIMFA 2 NIMFA 0
      FREDDIE 1 FREDDIE 0
      FELICITAS 2 FELICITAS 0
      SANDRO JR 1 SANDRO JR 0
      ELMER 1 ELMER 0
      MARIANEY 2 MARIANEY 0
      RIZA 2 RIZA 0
      GLENFORD 1 GLENFORD 0
      JONJIE 1 JONJIE 0
      EDWIN 1 EDWIN 0
      MANOLITO 1 MANOLITO 0
      PAULEEN 2 PAULEEN 0
      MANOLO 1 MANOLO 0
      KATE EDISON 2 KATE EDISON 0
      CIEDWUO 1 CIEDWUO 0
      GISELLE 2 GISELLE 0
      GEMMA 2 GEMMA 0
      ALEX 1 ALEX 0
      NELSA 2 NELSA 0
      ENGELBERT 1 ENGELBERT 0
      JULIET 2 JULIET 0
      HERDOLLY 2 HERDOLLY 0
      JAIME 1 JAIME 0
      WILLIAM 1 WILLIAM 0
      KATHLEEN 2 KATHLEEN 0
      DIOSDADO 1 DIOSDADO 0
      FRANCISCO 1 FRANCISCO 0
      ALBERTO 1 ALBERTO 0
      RHODORA 2 RHODORA 0
      RONALD 1 RONALD 0
      MARLYN 2 MARLYN 0
      ANNALY 2 ANNALY 0
      LUCAS 1 LUCAS 0
      ERLINDA 2 ERLINDA 0
      EDUARDO 1 EDUARDO 0
      FROILAN 1 FROILAN 0
      ELIZALDE 1 ELIZALDE 0
      DOROTHY 2 DOROTHY 0
      LAILA 2 LAILA 0
      PEPE 1 PEPE 0
      DENNIS 1 DENNIS 0
      MARK 1 MARK 0
      ERLINDA 2 ERLINDA 0
      DOMENADOR 1 DOMENADOR 0
      JOVY 2 JOVY 0
      JODY 2 JODY 0
      JAIME JR 1 JAIME JR 0
      LESTER 1 LESTER 0
      MELVIN 1 MELVIN 0
      JOSIE 2 JOSIE 0
      PAMELA 2 PAMELA 0
      ROWELL 1 ROWELL 0
      MERSILITA 2 MERSILITA 0
      DENCIO 1 DENCIO 0
      ROLLY 1 ROLLY 0
      CRIS MICHAEL 1 CRIS MICHAEL 0
      LUZEZY 2 LUZEZY 0
      JIM 1 JIM 0
      MAYMAY 2 MAYMAY 0
      ALLAN 1 ALLAN 0
      ROBERT 1 ROBERT 0
      ANTONIO 1 ANTONIO 0
      MENCHIE 2 MENCHIE 0
      MARCIAL 1 MARCIAL 0
      GINA 2 GINA 0
      RENWALDO 1 RENWALDO 0
      NERISSA 2 NERISSA 0
      GRACE 2 GRACE 0
      FAIDSA 2 FAIDSA 0
      TERISA 2 TERISA 0
      MARK ANTHONY 1 MARK ANTHONY 0
      DARIO 1 DARIO 0
      FATIMA 2 FATIMA 0
      ZORAYDA 2 ZORAYDA 0
      MICHAEL 1 MICHAEL 0
      RUSTY 1 RUSTY 0
      MERLYN 2 MERLYN 0
      PAMELA 2 PAMELA 0
      ROMEL 1 ROMEL 0
      MARK 1 MARK 0
      ALBERT 1 ALBERT 0
      ANNALIZA 2 ANNALIZA 0
      RAMIL 1 RAMIL 0
      THELMA 2 THELMA 0
      FERDINAND 1 FERDINAND 0
      HAROLD 1 HAROLD 0
      SONNY 1 SONNY 0
      ALFREDO 1 ALFREDO 0
      SALVADOR 1 SALVADOR 0
      ARLENE 2 ARLENE 0
      ARTURO 1 ARTURO 0
      OLIVIA 2 OLIVIA 0
      CARLO 1 CARLO 0
      ARMANDO 1 ARMANDO 0
      MARICEL 2 MARICEL 0
      DENNIS 1 DENNIS 0
      AUGOSTO 1 AUGOSTO 0
      SOFIA 2 SOFIA 0
      MICHAEL 1 MICHAEL 0
      ELIZABETH 2 ELIZABETH 0
      ERIC 1 ERIC 0
      ABDUL WAHAB 1 ABDUL WAHAB 0
      RODERICK 1 RODERICK 0
      MATILDE 2 MATILDE 0
      JARIEL 1 6 0
      ROMEO 1 ROMEO 0
      FERDINAND 1 FERDINAND 0
      MARISSA 2 MARISSA 0
      DARWIN 1 DARWIN 0
      DONALD 1 DONALD 0
      RAGIE 1 RAGIE 0
      ARNULFO 1 ARNULFO 0
      EDEN 2 EDEN 0
      EVELYN 2 EVELYN 0
      MARIA LIZA 2 MARIA LIZA 0
      MYRA 2 MYRA 0
      ERWIN 1 ERWIN 0
      OFELIA 2 OFELIA 0
      MARCIAL 1 MARCIAL 0
      CORAZON 2 CORAZON 0
      MARIANO 1 MARIANO 0
      BILLY JOHN 1 BILLY JOHN 0
      NENITA 2 NENITA 0
      MARICEL 2 MARICEL 0
      NEREN 1 NEREN 0
      DAISY 2 DAISY 0
      RUEL 1 RUEL 0
      CLEMENTE 1 CLEMENTE 0
      SALVADOR 1 SALVADOR 0
      GING-GING 2 GING-GING 0
      ARNEL 1 ARNEL 0
      LAURENCE 1 LAURENCE 0
      NORA 2 NORA 0
      JONATHAN 1 JONATHAN 0
      ISIDRO 1 ISIDRO 0
      MYLA 2 MYLA 0
      KRISTINE 2 KRISTINE 0
      WENEFREDO 1 WENEFREDO 0
      FLORDILIZA 2 FLORDILIZA 0
      TERESITA 2 TERESITA 0
      HILARIO 1 HILARIO 0
      ERVIO 1 ERVIO 0
      CRISANTO 1 CRISANTO 0
      JEROME 1 JEROME 0
      REYNALDO 1 REYNALDO 0
      LUISITO 1 LUISITO 0
      ARTURO 1 ARTURO 0
      ARLAN 1 ARLAN 0
      LENAND 1 LENAND 0
      ROMEL 1 ROMEL 0
      JOEL 1 JOEL 0
      GLENN 1 GLENN 0
      BEMEN 1 BEMEN 0
      LAARNI 2 LAARNI 0
      JASIIE 2 JASIIE 0
      GODOFREDO 1 GODOFREDO 0
      MILDRED 2 MILDRED 0
      JAZMIN 2 JAZMIN 0
      ERNESTO 1 ERNESTO 0
      JOSEPH 1 JOSEPH 0
      GERARDO 1 GERARDO 0
      JOAN 2 JOAN 0
      JASON 1 JASON 0
      MANOLITO 1 MANOLITO 0
      REYNALDO 1 REYNALDO 0
      EMIL 1 EMIL 0
      GERARDO SR 1 GERARDO SR 0
      RAEL 1 RAEL 0
      JANICE 2 JANICE 0
      ERLINDA 2 ERLINDA 0
      EMILIANO 1 EMILIANO 0
      CHRISTOPHER 1 CHRISTOPHER 0
      LAURENCE 1 LAURENCE 0
      RENATO 1 RENATO 0
      JEFFERSON 1 JEFFERSON 0
      JOEL 1 JOEL 0
      HENNRY 1 HENNRY 0
      SHERWIN 1 SHERWIN 0
      AMANTE 1 AMANTE 0
      RANDY 1 RANDY 0
      RAUL 1 RAUL 0
      ADAM 1 ADAM 0
      BENIGNO 1 BENIGNO 0
      PATRICK 1 PATRICK 0
      EDUARDO 1 EDUARDO 0
      MELVIN 1 MELVIN 0
      RICARDO 1 RICARDO 0
      ALEXANDER 1 ALEXANDER 0
      NICANDRO 1 NICANDRO 0
      RENATO 1 RENATO 0
      FEDERICO 1 FEDERICO 0
      CATHERINE 2 CATHERINE 0
      ISAGANI 1 ISAGANI 0
      FRANCO 1 FRANCO 0
      MAGTANNGOL 1 MAGTANNGOL 0
      MELINDA 2 MELINDA 0
      JERRY 1 JERRY 0
      JEMUEL 1 JEMUEL 0
      DEAN 2 DEAN 0
      DANILO 1 DANILO 0
      ALEJANDRO 1 ALEJANDRO 0
      DIOSCORO 1 DIOSCORO 0
      YOLANDA 2 YOLANDA 0
      BIENVINIDO 1 BIENVINIDO 0
      NICOMODUS 1 NICOMODUS 0
      RONALD 1 RONALD 0
      MICHAEL 1 MICHAEL 0
      JESSIE 1 JESSIE 0
      JANEL 2 JANEL 0
      ABRAHAM JR 1 ABRAHAM JR 0
      JOJO 1 JOJO 0
      LORETA 2 LORETA 0
      ROGELIO 1 ROGELIO 0
      CHERRY 2 CHERRY 0
      RODERICK 1 RODERICK 0
      CHRISTIAN 1 CHRISTIAN 0
      MARY JANE 2 MARY JANE 0
      LEONILO 1 LEONILO 0
      TOMAS 1 TOMAS 0
      MARK 1 MARK 0
      BERNIE 1 BERNIE 0
      MANUEL 1 MANUEL 0
      CARMELITA 2 CARMELITA 0
      JOEY 1 JOEY 0
      MAUREEN 2 MAUREEN 0
      ARISTOTELLE 1 ARISTOTELLE 0
      FERDINAND 1 FERDINAND 0
      MERVIN 1 MERVIN 0
      MANUEL 1 MANUEL 0
      ROLANDO 1 ROLANDO 0
      ROLLY 1 ROLLY 0
      ROMEL 1 ROMEL 0
      HILARION 1 HILARION 0
      NOEL 1 NOEL 0
      MARLON 1 MARLON 0
      SHIRLEY 2 SHIRLEY 0
      LIRA 2 LIRA 0
      ARMANDO 1 ARMANDO 0
      CESAR 1 CESAR 0
      PABLITO 1 PABLITO 0
      ROBERT 1 ROBERT 0
      ]MARGIE 2 ]MARGIE 0
      ERWIN 1 ERWIN 0
      JAYVEE 1 JAYVEE 0
      PATRICIO 1 PATRICIO 0
      EDWARD 1 EDWARD 0
      CHRISTOPHER 1 CHRISTOPHER 0
      RODOLFO 1 RODOLFO 0
      ROMANO 1 ROMANO 0
      ISAIAS 1 ISAIAS 0
      DELMAR 1 DELMAR 0
      CESAR 1 CESAR 0
      RONELITO 1 RONELITO 0
      CHONA 2 CHONA 0
      ARNOLD 1 ARNOLD 0
      RONALDO 1 RONALDO 0
      EDGARDO 1 EDGARDO 0
      JOMMEL 1 JOMMEL 0
      JERRY 1 JERRY 0
      ROMEO 1 ROMEO 0
      RICARDO 1 RICARDO 0
      ZYRA 2 ZYRA 0
      JOHN FREDIRECK 1 JOHN FREDIRECK 0
      PEARLIE 2 PEARLIE 0
      CARLOS 1 CARLOS 0
      ERVIEL FELIX 1 ERVIEL FELIX 0
      RICARDO 1 RICARDO 0
      ARCHIMEDES 1 ARCHIMEDES 0
      ALFREDO JR 1 ALFREDO JR 0
      JOY 2 JOY 0
      ARIEL 1 ARIEL 0
      TERESITA 2 TERESITA 0
      WILFREDO JR 1 WILFREDO JR 0
      ANTONIO 1 ANTONIO 0
      RUBY 2 RUBY 0
      KRISTINE ANN 2 KRISTINE ANN 0
      OFELIA 2 OFELIA 0
      JOCELYN 2 JOCELYN 0
      RAFAEL 1 RAFAEL 0
      JULIUS 1 JULIUS 0
      LAWRENCE 1 LAWRENCE 0
      LITO 1 LITO 0
      DONNA 2 DONNA 0
      HELEN 2 HELEN 0
      EDGARDO 1 EDGARDO 0
      RODRIGO 1 RODRIGO 0
      MAMERTA JR 1 MAMERTA JR 0
      MANUEL 1 MANUEL 0
      NATIVIDAD 2 NATIVIDAD 0
      SHIELA MARIE 2 SHIELA MARIE 0
      ESTELITA 2 ESTELITA 0
      ARNOLD 1 ARNOLD 0
      DANILO 1 DANILO 0
      NESTOR 1 NESTOR 0
      JULIET 2 JULIET 0
      EDGAR 1 EDGAR 0
      CARLITO 1 CARLITO 0
      WILFREDO 1 WILFREDO 0
      MELCHORA 2 MELCHORA 0
      EMILY 2 EMILY 0
      MICHOYO 1 MICHOYO 0
      ENGKWEE 1 ENGKWEE 0
      EVELYN 2 EVELYN 0
      GLENDA 2 GLENDA 0
      HILDA 2 HILDA 0
      CARMEN 2 CARMEN 0
      AGNES 2 AGNES 0
      ROGELIO 1 ROGELIO 0
      FERDINAN 1 FERDINAN 0
      LARRY 1 LARRY 0
      LEN 2 LEN 0
      MARIA CONCEPCION 2 MARIA CONCEPCION 0
      MARCILA 2 MARCILA 0
      DIVINA 2 DIVINA 0
      GARIZALDE 1 GARIZALDE 0
      JUDITH 2 JUDITH 0
      NIKO 1 NIKO 0
      EDUARDO 1 EDUARDO 0
      JESIE 1 JESIE 0
      EILEEN 2 EILEEN 0
      ERICKSON 1 ERICKSON 0
      GEMMERICK 1 GEMMERICK 0
      ALAN 1 ALAN 0
      EVANGELINE 2 EVANGELINE 0
      NAVIL 1 NAVIL 0
      JERAMINE 1 JERAMINE 0
      RHODORA 2 RHODORA 0
      REYNALDO 1 REYNALDO 0
      TERRY JOY 2 TERRY JOY 0
      DIONA 2 DIONA 0
      NOEMI 2 NOEMI 0
      MINERVA 2 MINERVA 0
      EDGARDO 1 EDGARDO 0
      ROLAND 1 ROLAND 0
      JOSE 1 JOSE 0
      CRISTINA 2 CRISTINA 0
      DOREEN 2 DOREEN 0
      BRYAN 1 BRYAN 0
      SOFRONIA 2 SOFRONIA 0
      PZSTOR 1 PZSTOR 0
      RONALD 1 RONALD 0
      ANTONIO 1 ANTONIO 0
      LOUIE 1 LOUIE 0
      LEVITO 1 LEVITO 0
      ASUNCION 2 ASUNCION 0
      EDWIN 1 EDWIN 0
      BABYLYN 2 BABYLYN 0
      VON 1 VON 0
      JENALYN 2 JENALYN 0
      LEONORA 2 LEONORA 0
      NOLI 1 NOLI 0
      RYAN MARK 1 RYAN MARK 0
      PERCIVAL 1 PERCIVAL 0
      LORENZO A 1 LORENZO A 0
      SIGRID ERCE 1 SIGRID ERCE 0
      ALVIN 1 ALVIN 0
      EMMALYN 2 EMMALYN 0
      ALIAH INGRID 2 ALIAH INGRID 0
      JOSE 1 JOSE 0
      CORAZON 2 CORAZON 0
      MARLYN 2 MARLYN 0
      VINCENTE 1 VINCENTE 0
      BELTRAN 1 BELTRAN 0
      JANET 2 JANET 0
      MARINA 2 MARINA 0
      NOEL 1 NOEL 0
      FLORENTINO 1 FLORENTINO 0
      GILBERTO 1 GILBERTO 0
      RONAN 1 RONAN 0
      VICTORIA 2 VICTORIA 0
      ALFREDO 1 ALFREDO 0
      MARCELA E 2 MARCELA E 0
      ALMA 2 ALMA 0
      RICKY 1 RICKY 0
      MARGARITTA 2 MARGARITTA 0
      LORNA MARLENE 2 LORNA MARLENE 0
      WILLIAM 1 WILLIAM 0
      FELIMON 1 FELIMON 0
      NELSON 1 NELSON 0
      DAISY 2 DAISY 0
      MA TERESA 2 MA TERESA 0
      FRANCISCO 1 FRANCISCO 0
      ARTHURO JR 1 ARTHURO JR 0
      PHILIP JUDAL 1 PHILIP JUDAL 0
      PHILIP JOAN 1 PHILIP JOAN 0
      DANELITH 2 DANELITH 0
      DENNIS 1 DENNIS 0
      RICARDO 1 RICARDO 0
      DAVE 1 DAVE 0
      MAY SHELLY 2 MAY SHELLY 0
      OLIVER 1 OLIVER 0
      ESMERALDO 1 ESMERALDO 0
      JOEL 1 JOEL 0
      JERRY 1 JERRY 0
      EFRIEM 1 EFRIEM 0
      RONALD 1 RONALD 0
      ELVIRA 2 ELVIRA 0
      EUGENIO JR 1 EUGENIO JR 0
      WILFREDO 1 WILFREDO 0
      HUBENCIO 1 HUBENCIO 0
      EDGARDO 1 EDGARDO 0
      BONNE RISA 2 BONNE RISA 0
      FERDINAND 1 FERDINAND 0
      JUANITO 1 JUANITO 0
      JESSIE 1 JESSIE 0
      ANTONIO 1 ANTONIO 0
      PARLIE 2 PARLIE 0
      RANDOLPH 1 RANDOLPH 0
      CEASAR 1 CEASAR 0
      CATHERINE 2 CATHERINE 0
      CHRISTOPHER 1 CHRISTOPHER 0
      LIMUEL 1 LIMUEL 0
      ANALIZA 2 ANALIZA 0
      AMIE 2 AMIE 0
      RODERICK 1 RODERICK 0
      MARICEL 2 MARICEL 0
      MARJORIE 2 MARJORIE 0
      BERNARDO 1 BERNARDO 0
      VICENTE 1 VICENTE 0
      GARITO 1 GARITO 0
      HARLENE 2 HARLENE 0
      HARRIST 1 HARRIST 0
      DONALD 1 DONALD 0
      DONNA 2 DONNA 0
      BRYAN 1 BRYAN 0
      ARMANDO 1 ARMANDO 0
      RITCHELL 1 RITCHELL 0
      ARTHUR 1 ARTHUR 0
      SHIELA ANN 2 SHIELA ANN 0
      PETER LLOYD 1 PETER LLOYD 0
      SAMUEL 1 SAMUEL 0
      CYNTHIA 2 CYNTHIA 0
      ALLAN 1 ALLAN 0
      DENNIS JR 1 DENNIS JR 0
      LEO MARK 1 LEO MARK 0
      IMELDA 2 IMELDA 0
      EDDIE 1 EDDIE 0
      Asia
      Europe
      North America
      Australia
      barangay Freq Percent Cum
      183 3484 535 7468
      201 2947 453 100
      184 2141 329 7797
      194 1534 236 9129
      193 1524 234 8893
      145 1150 177 4927
      191 995 153 8531
      179 939 144 6762
      14 937 144 489
      190 904 139 8378
      172 861 132 6195
      177 850 131 6494
      192 836 128 8659
      46 808 124 1339
      178 804 123 6618
      187 802 123 8144
      165 793 122 5781
      156 755 116 5327
      185 755 116 7913
      197 738 113 9363
      186 702 108 8021
      169 641 098 5956
      199 620 095 9504
      130 615 094 4101
      144 580 089 475
      143 575 088 4661
      65 567 087 2012
      135 529 081 4406
      132 505 078 4218
      148 497 076 5056
      157 497 076 5403
      195 493 076 9205
      66 485 074 2087
      171 479 074 6063
      43 442 068 1157
      90 441 068 2702
      127 419 064 3961
      161 416 064 554
      61 412 063 1835
      4 408 063 15
      72 400 061 23
      182 387 059 6933
      110 380 058 3368
      134 379 058 4325
      180 377 058 682
      108 372 057 3271
      107 364 056 3214
      189 356 055 8239
      181 350 054 6874
      162 345 053 5593
      51 341 052 1469
      153 341 052 5171
      113 338 052 3477
      52 336 052 1521
      100 322 049 3024
      58 321 049 1714
      125 316 049 3878
      133 315 048 4267
      176 313 048 6364
      99 304 047 2974
      137 304 047 4495
      94 299 046 2811
      198 299 046 9409
      147 295 045 498
      196 291 045 9249
      54 289 044 1587
      38 287 044 969
      2 286 044 064
      164 286 044 566
      173 284 044 6239
      200 284 044 9547
      77 282 043 2413
      57 279 043 1665
      123 279 043 3789
      5 278 043 193
      136 275 042 4448
      118 269 041 3645
      175 268 041 6316
      188 266 041 8185
      64 264 041 1925
      111 264 041 3409
      124 261 04 3829
      131 261 04 4141
      166 259 04 5821
      23 257 039 668
      8 254 039 264
      69 253 039 219
      109 250 038 331
      117 246 038 3604
      42 238 037 1089
      98 237 036 2928
      60 235 036 1772
      174 234 036 6274
      67 233 036 2123
      88 232 036 2618
      119 231 035 3681
      62 228 035 187
      40 219 034 1032
      170 217 033 5989
      104 216 033 3112
      97 214 033 2891
      91 207 032 2734
      114 206 032 3509
      115 206 032 354
      70 203 031 2221
      106 198 03 3158
      122 198 03 3746
      47 193 03 1368
      44 190 029 1186
      160 190 029 5476
      32 188 029 836
      39 187 029 998
      68 187 029 2151
      45 183 028 1214
      30 180 028 783
      18 176 027 549
      16 174 027 519
      22 173 027 629
      34 172 026 88
      75 172 026 2361
      96 170 026 2858
      116 169 026 3566
      73 168 026 2326
      155 166 025 5211
      10 164 025 3
      121 160 025 3716
      13 159 024 345
      83 158 024 2519
      159 158 024 5447
      102 157 024 3055
      128 157 024 3985
      3 153 023 087
      19 153 023 573
      31 153 023 807
      103 152 023 3079
      7 147 023 225
      29 147 023 756
      163 147 023 5616
      50 146 022 1417
      37 145 022 925
      53 142 022 1542
      140 141 022 4547
      59 138 021 1736
      41 137 021 1053
      152 137 021 5119
      129 136 021 4006
      95 135 021 2832
      1 129 02 02
      26 127 02 708
      80 127 02 2466
      92 126 019 2753
      158 126 019 5423
      167 126 019 5841
      79 125 019 2447
      126 125 019 3897
      138 125 019 4514
      81 123 019 2485
      21 122 019 602
      55 122 019 1606
      86 121 019 2568
      33 114 018 853
      71 114 018 2239
      84 113 017 2536
      36 111 017 903
      168 110 017 5857
      56 109 017 1622
      89 108 017 2634
      48 106 016 1384
      112 106 016 3425
      151 106 016 5098
      105 105 016 3128
      28 98 015 733
      154 96 015 5186
      63 95 015 1885
      87 94 014 2582
      78 93 014 2427
      141 88 014 456
      150 87 013 5081
      85 86 013 2549
      142 83 013 4573
      93 80 012 2766
      12 76 012 321
      9 75 012 275
      149 75 012 5068
      24 72 011 679
      139 71 011 4525
      20 69 011 583
      120 69 011 3691
      25 64 01 689
      49 64 01 1394
      27 63 01 718
      6 62 01 202
      82 61 009 2494
      74 58 009 2335
      11 55 008 309
      76 55 008 237
      146 50 008 4935
      101 49 008 3031
      35 41 006 886
      15 24 004 493
      17 19 003 522
      Total 65116 100
      TYPE OF EXPENDITURE DIRECTION OF CHANGE
      Increase Remained the Same Decrease Not Applicable Prop-Increase Pro-Same Prop -decrease
      Food 1970 1054 236 - 3260 604 323 72
      Clothing 756 1739 765 - 3260 232 533 235
      Cooking Fuel 952 1893 415 - 3260 292 581 127
      Electricity 1715 1013 206 - 2934 585 345 70
      Water 804 1610 176 670 2590 310 622 68
      Education 545 1135 142 1438 1822 299 623 78
      Health 725 1451 436 648 2612 278 556 167
      Communication 578 1413 544 725 2535 228 557 215
      Transportation 570 1699 498 493 2767 206 614 180
      Recreation 223 1205 760 1072 2188 102 551 347
      Saudi Arabia
      United States of America
      Qatar
      United Kingdom
      Italy
      Others
      Q12004
      Q2
      Q3
      Q4
      Q12005
      Q2
      Q3
      Q4
      Q12006
      Q2
      Q3
      Q4
      Q12007
      Q2
      Q3
      Q4
      Q12008
      Q2
      Q3
      Q4
      Q12009
      Q2
      Q3
      Number Percent
      Shifted to generic drugscheaper drug brands 1184 338
      Used medicinal plantsherbal medicines 995 284
      Shifted to government health centers and hospitals 760 217
      Resorted to self-medication 710 203
      Shifted to alternative medicine 445 127
      Lessened the availment of medical treatment for any illness 183 52
      Reduced prescribed drug intake 176 50
      Did not buy medicine 172 49
      Did not seek medical treatment for any illness 153 44
      Discontinued intake of prescribed medicine 94 27
      Others 62 18
      No of Students No of Withdrawn Children
      Male 2273 39 17
      Female 2094 20 10
      Total 4368 59 14
      No of Students No of Children who Shifted from Private to Public School
      Male 2234 18 08
      Female 2074 15 07
      Total 3974 33 08
      Coping Strategies Total
      Magnitude Proportion
      Borrowed money 1401 400
      Used savings 455 130
      Sold assets 68 19
      Pawned assets 166 47
      Coping Strategies Total
      Magnitude Proportion
      Looked for additional work 219 63
      Did additional work 167 48
      Employed members not previously working 65 19
      Looked for work abroad 53 15
      No of Employed Persons With Wage Reduction With Reduced Working Hours With Reduced Benefits
      No No No
      Male 3155 47 15 37 12 5 016
      Female 1891 36 19 36 19 3 016
      Total 5046 83 16 73 14 8 016
      Indicator Magnitude Proportion
      HHs with significant change in the monthly income from the business 158 87
      Increase 33 209
      Decrease 125 791
      HHs with significant change in the no of employed persons in the business 6 03
      Increase 3 50
      Decrease 3 50
      Indicator Magnitude Proportion
      HHs engaged in new entrepreneurial activity 75 21
      HHs engaged in an entrepreneurial activity 1817 519
      HHs which closed a business 19 10
      Country No of OFWs
      Saudi Arabia 16
      USA 4
      Hong Kong SAR 4
      Qatar 3
      Singapore 2
      DPRK 2
      Others 8
      Unspecified 3
      Total 42
      Country No of OFWs
      Saudi Arabia 7
      USA 4
      Qatar 3
      UK 3
      Italy 2
      Others 9
      Total 28
      No Barangay MunicipalityCity Province No of HHs
      1 Brgy 192 Pasay City NCR 856
      2 Poblacion III Sto Tomas Batangas 466
      3 Villa Angeles Orion Bataan 354
      4 Salvacion Puerto Princesa City Palawan 237
      5 Masikap Puerto Princesa City Palawan 227
      6 Gumamela Labo Camarines Norte 432
      7 San Vicente Santa Elena Camarines Norte 225
      8 Ando Borongan Eastern Samar 174
      9 San Miguel Llorente Eastern Samar 269
      10 Magbangon Cabucgayan Biliran 259