7/28/2019 Bomet 12.2011

1/8

2 Kenya: County Fact Sheets

233

188

164

139

Bomet Sok Chepalungu Konoin

1.9%Countys share of naonally

registered voters in 2010

Populaoni

n0

00s(2009)

ConstuencyPopulaonandCountyVoterStascs

Source: KNBS.

0

48

57

99

29

98

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09

RuralElectrifcaonAllocaons,KshsMillions

Source: Rural Electricaon Authority.

30

108

151

209 210 210

257

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10

CDFAllocaons,KshsMillions

Source: CDF Board Website. Source: Ministry of Medical Services.

BOMETCOUNTY

Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest. All entries in the Kenya column show County averages.

Access to Infrastructure

Improved water (% households 2009)Improved sanitaon (% households 2009)

Electricity (% households 2009)

Paved roads (as % of total roads)

Good/fair roads (as % of total roads)

Rank

4637

23

4

11

Kenya66.587.8

22.7

9.4

43.5

Bomet

40.894.9

4.3

5.4

39.6

Rank

34

4

12

10

6

24

Kenya64.0

27.7

39.0

5.9

66.6

12.7

HealthandEducaonOutcomes

Fully-immunized pop

7/28/2019 Bomet 12.2011

2/8

7/28/2019 Bomet 12.2011

3/8

The Commission on Revenue Allocaon is a new instuon created by the Constuon of Kenya.

The principal funcon of the Commission is to make recommendaons on the basis of equitable sharing of

revenue raised naonally between the naonal government and the county governments and among the county

governments. It has other several funcons enumerated in Arcle 216 of the Constuon.

Reliable data is the cornerstone of rm policy decisions. We take this opportunity to launch this rst edion of the

County Facts Sheets. At a glance, the Fact Sheets provide important summary informaon of each county, such as,

populaon, health, educaon and infrastructure.

This document carries vital data on each of the 47 counes which should be useful to many stakeholders,

including those who are aspiring to join the counes either in elecve or appoinve oces. It will also be useful to

development partners, academic instuons and the civil servants in both naonal and county governments.

This document is part of a series of other publicaons which are being launched by our Commission. The objecve

of the publicaons is to educate Kenyans on the role of the Commission, and the funding arrangements for Kenyas

new system of devolved government.

Every eort has been made to ensure the facts in this document are accurate. We would however, request anyone

who spots a major error to point it out to us through our contacts indicated at the back cover of this booklet.

Micah Cheserem

Chairman,CommissiononRevenueAllocaon

Foreword by CRA Chairman

i Kenya: County Fact Sheets

7/28/2019 Bomet 12.2011

4/8

CRA acknowledges the contribuon and support of several key partners in the preparaon of this inaugural

version of the Kenya County Fact Sheets.

First, the Commission acknowledges the contribuon of the Kenya Naonal Bureau of Stascs (KNBS),

which is the ocial source of most data appearing in these Fact Sheets. Contribuons from KNBS signal the

beginning of a long term partnership in the generaon and disseminaon of comprehensive county-leveldata, and its applicaon towards the formulaon of sound policy decisions not only by the CRA, but also by

other government and non-governmental organizaons.

Secondly, CRA acknowledges support from the World Banks Fiscal Decentralizaon Knowledge Program

(FDKP). Launched in November 2010 with nancial assistance from the Australian Agency for Internaonal

Development (AusAid), FDKP is supporng the Kenyas Government to develop and implement the public

nance provisions of the new Constuon. FDKPs main objecve is to share evidence-based knowledge with

Kenyan policy makers, consisng of internaonal experiences with decentralizaon and also of data analysis

on Kenya.

To all our other partners, we also say a hearty THANK YOU, and we look forward to your connued support

and partnership.

Acknowledgements

iiKenya: County Fact Sheets

7/28/2019 Bomet 12.2011

5/8

ImmediatelyaerthenextGeneralElecons,forty-sevenCountyGovernmentswillreplacetheProvincial

andLocalGovernmentadministraonsystems,whichwerecreatedatindependence.However, most of the

data that is collected and compiled in Kenya today can be mapped to either districts or provinces, and very

lile has been done to date to re-map these data to the county level.

The Kenya County Fact Sheets seek precisely to ll this void and to start eshing out the demographic, socio-economic and administrave contours of Kenyas future counes.

Ancipated users of these Fact Sheets include:

a) Public sector organizaons that are now accelerang their planning for the transion and formulaon of

post-devoluon policies;

b) Civil society organizaonsthe public, media, businesseswho need to engage knowledgeably with the

Naonal and the County Governments; and,

c) Development partners who will need to refocus their strategies and programs to the new administrave

and service delivery environment.

Among other uses, the Fact Sheets will enable readers to (i) get a full picture of the main characteriscs of

each of Kenyas counes, and (ii) compare their performance across a wide range of indicators to the naonal

average, or to the situaon in other counes. This knowledge, ideally will guide policy, from the targeng of

policies across space and intervenons to laying the foundaons of a county performance monitoring system.

The reader will nd that the Fact Sheets reveal signicant disparies across counes on many frontshealth

and educaon outcomes, funding per capita and access to infrastructure and to services. In highlighng

these disparies, the Fact Sheets might help to idenfy each countys immediate-, medium- and longer-term

priories for economic development and poverty reducon. They also constute a useful baseline against

which progress can be measured, as Counes come into existence and start taking increasing responsibilityfor service delivery at the local level.

Obviously, from the point of view of the CRA, this informaon will be a key input into our recommendaons

to Parliament on a revenue sharing formula, which will need to be transparent, rule-based and grounded into

a solid assessment of county needs.

It is our hope that the Fact Sheets will inform public discourse and contribute to improved policy coordinaon

between Naonal and County Governments, among county governments and with non-governmental stake

holders.

Introducon

iii Kenya: County Fact Sheets

7/28/2019 Bomet 12.2011

6/8

ListofAbbreviaons

CDF Constuency Development Fund

CRA Commission on Revenue Allocaon

DDP District Development Plan

DRC District Roads Commiee

FDKP Fiscal Decentralizaon Knowledge ProgramGoK Government of Kenya

KIHBS Kenya Integrated Household Budget Survey

KNBS Kenya Naonal Bureau of Stascs

KRB Kenya Roads Board

KURA Kenya Urban Roads Authority

LA Local Authority

LATF Local Authority Transfer Fund

MoH Ministry of Health

REPLF Rural Electricaon Programme Levy FundRMLF Road Maintenance Levy Fund

SBP Single Business Permit

TFDG Task Force on Devolved Government

WB World Bank

ivKenya: County Fact Sheets

7/28/2019 Bomet 12.2011

7/8

DescriponoftheDataandtheirSources

Populaon

Surfaceareaanddensity

Povertyrate

Urbanpopulaon

Health data

Educaondata

ConstuencyDevelopment Fund

Local Authority TransferFund (LATF), RoadMaintenance Levy Fund(RMLF),SingleBusiness

The data on populaon and number of households are from the 2009 KenyaPopulaon and Housing Census Report published in August 2010, by theKenya Naonal Bureau of Stascs (KNBS).

Each Fact Sheet contains a map showing populaon density variaons withineach county, based on the number of districts in existence in December2008. The informaon on density is based on the 2009 Census.

County poverty data have been computed based on the Kenya IntegratedHousehold Baseline Survey (KIHBS) district poverty esmates of 2005/06.County poverty rates are derived simply by dividing the total number ofpoor people in each county in 2005/06 by the total populaon in eachcounty.

This informaon is based on 2009 Census data and includes core urbanand peri-urban residents within towns having at least 2,000 inhabitants.Data on immunizaon and on diseases i.e. malaria, TB and HIV have beenobtained from the Division of Health Management Informaon Systems(HMIS). The data includes roune informaon collected on a monthly andannual basis from health facilies throughout the country. Health stascsshown in these Fact Sheets have been computed as follows:

Fully-immunizedpopulaonunder1year This is the number of fullyimmunized children below the age of 1 year as a proporon of the overallpopulaon of children below the age of 1 year.

Malaria(as%ofallrstoutpaentvisits) This computaon reects themalaria burden. It is based on conrmed malaria cases (not clinicalmalaria) as a percentage of total rst out-paent diseases (OPD)aendances at health facilies.

TBinevery 10,000people This gure is the record of new cases oftuberculosis (TB) detected in every 10,000 people.

HIV-posiveante-natalcareclients This is the percentage of ante-natalcare (ANC) clients tested for HIV at designated tesng sites, whose resultsturn out to be posive.

The proporon of populaon with primary and secondary educaon isbased on the 2009 Census.

These data are CDF actual allocaons (2003/04 2008/09) and esmates(2009/10) for each of the 210 constuencies, which in turn are mappedto county boundaries. The data have been obtained from the CDF BoardWebsite hp://www.cdf.go.ke/ . Informaon on actual CDF spending oraudited nancial data was not available.

These data have been obtained from LATF Annual Report and Review ofLocal Authority Financial Performance for the scal years 2007/08 and2008/09. Taken together, LATF, SBP and Property taxes have constutedthe lions share of resources available to Kenyas Local Authories. Whilethe laer two might be taken as a rough indicator of the core of future

DATA/VARIABLE DESCRIPTIONANDSOURCE

v Kenya: County Fact Sheets

7/28/2019 Bomet 12.2011

8/8

DATA/VARIABLE DESCRIPTIONANDSOURCE

county own-source revenue streams, LATF might be used as an indicator offuture needs of urban areas, and of the paral costs that could be faced bycounes in delivering services.

Data come from the Rural Electricaon Authority (REA) and relate toapproved (not actual) spending on rural electricaon programmes for theperiod 2003/04 2008/09.

These data are generated from the 2009 Census, and present the proporonof Kenya households with access. Denions for access to improved waterand sanitaon are based on the Joint Monitoring Programme (JMP) forWater Supply and Sanitaon by the World Health Organizaon (WHO) andUNICEF. Accordingly, improved water sources include well/borehole, pipedand rain-harvested water; while, improved sanitaon includes conneconto a main sewer, sepc tank and cesspool as well as venlated improved pit(VIP) latrine and covered pit latrine.

This data is generated from District Development Plans (DDP), and reectsthe proporon of Kenyas classied road network that is paved, and in goodor fair maintenance condion.

These esmates are generated based on the Kenya Integrated HouseholdBudget Survey (KIHBS). 2005/06.

Delivered in a health centre This is the proporon of children betweenthe ages of 0 60 months who were reported to have been born in ahealth center i.e. hospital, clinic or maternity home.

Qualiedmedicalassistantduringbirth This is the proporon of

children between the ages of 0 60 months whose births were assistedby a qualied medical personnel i.e. a doctor, midwife or nurse.

Hadallvaccinaons This is the proporon of children betweenthe ages of 12 60 months who had had all necessary vaccinaons,specically BCG, any dose of polio, any dose of DPT and measles.

Adequate height for age This is the proporon of children betweenthe ages of 6 60 months who were not below the adequate orrecommended height for their respecve ages.

Can read & write This is the proporon of children between the agesof 10 14 years who could read and write.

AendingSchool,15-18years This is the proporon of childrenbetween the ages of 15 18 years who were aending school

(irrespecve of the level) at the me of the survey.

Following promulgaon of the current Constuon, the number ofconstuencies is to increase from 210 to 290. Since the process ofdistribung the 290 constuencies among the 47 counes has not beennalized, the constuency distribuon shown in these Fact Sheets is basedon the current 210 constuencies. Constuency populaons are based onthe 2009 Census, while county proporons of naonally registered voters isbased on Independent Electoral and Boundaries Commission (IEBC) recordsas per the 2010 Constuonal Referendum.

Permit(SBP)andpropertyrates

RuralElectricaonProgrammeLevyFund(REPLF)

Access to improved water,improvedsanitaonandelectricity

Road Network

Servicecoverage

Populaonandproporonofnaonallyregistered voters in eachconstuency

viKenya: County Fact Sheets