government of maharashtragovernment of maharashtra participates in these rounds on a matching sample...

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¨É½þÉ®úɹ]Åõ ¶ÉɺÉxÉ GOVERNMENT OF MAHARASHTRA ®úɹ]ÅõÒªÉ xɨÉÖxÉÉ {ÉɽþhÉÒSªÉÉ 56 ´ªÉÉ ¡äò®úÒiÉÒ±É (VÉÖ±Éè, 2000 iÉä VÉÚxÉ, 2001) {ÉjÉEò 1.0 EÖò]ÖÆõ¤ÉÉSÉÉ ={ɦÉÉäMªÉ ¤ÉɤÉÓ´É®úÒ±É JÉSÉÇ ªÉÉ Ê´É¹ÉªÉÉ´É®úÒ±É ®úÉVªÉ xɨÉÖxªÉÉiÉÒ±É ¨ÉÉʽþiÉÒ´É®ú +ÉvÉÉÊ®úiÉ +½þ´ÉÉ±É A REPORT ON SCHEDULE 1.0 ‘HOUSEHOLD ‘CONSUMER EXPENDITURE’ BASED ON NATIONAL SAMPLE SURVEY, 56TH ROUND ( JULY, 2000 - JUNE, 2001 ) STATE SAMPLE DATA +lÉÇ ´É ºÉÉÆÎJªÉEòÒ ºÉÆSÉɱÉxÉɱɪÉ, ¨É½þÉ®úɹ]Åõ ¶ÉɺÉxÉ, ¨ÉÖƤÉ<Ç Directorate of Economics and Statistics, Government of Maharashtra, Mumbai ¨É½þÉ®úɹ]õÅó +lÉÇ ´É ºÉÉÆÎJªÉEòÒ jÉè¨ÉÉʺÉEò {ÉÊjÉEòÉ VÉÉxÉä´ÉÉ®úÒ-¨ÉÉSÉÇ, 2007 ´É¹ÉÇ 47 +ÆEò 4 ¨ÉvªÉä |ÉEòÉʶÉiÉ Published in Maharashtra Quarterly bulletin of Economics and Statistics, for Jan.,- March,2007, Vol XLVII, No - 4

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Page 1: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

¨É½þÉ®úɹ]Åõ ¶ÉɺÉxÉGOVERNMENT OF MAHARASHTRA

®úɹ]ÅõÒªÉ xɨÉÖxÉÉ {ÉɽþhÉÒSªÉÉ 56 ´ªÉÉ ¡äò®úÒiÉÒ±É (VÉÖ±Éè, 2000 iÉä VÉÚxÉ, 2001){ÉjÉEò 1.0 ‘EÖò]ÖÆõ¤ÉÉSÉÉ ={ɦÉÉäMªÉ ¤ÉɤÉÓ´É®úÒ±É JÉSÉÇ’

ªÉÉ Ê´É¹ÉªÉÉ´É®úÒ±É ®úÉVªÉ xɨÉÖxªÉÉiÉÒ±É ¨ÉÉʽþiÉÒ´É®ú +ÉvÉÉÊ®úiÉ +½þ´ÉɱÉ

A REPORT ON SCHEDULE 1.0 ‘HOUSEHOLD‘CONSUMER EXPENDITURE’ BASED ON

NATIONAL SAMPLE SURVEY, 56TH ROUND ( JULY, 2000 - JUNE, 2001 )

STATE SAMPLE DATA

+lÉÇ ´É ºÉÉÆÎJªÉEòÒ ºÉÆSÉɱÉxÉɱɪÉ, ¨É½þÉ®úɹ]Åõ ¶ÉɺÉxÉ, ¨ÉÖƤÉ<ÇDirectorate of Economics and Statistics, Government of Maharashtra, Mumbai

¨É½þÉ®úɹ]õÅó +lÉÇ ´É ºÉÉÆÎJªÉEòÒ jÉè ÉÉʺÉEò {ÉÊjÉEòÉ VÉÉxÉä ÉÉ®úÒ-¨ÉÉSÉÇ, 2007 ´É¹ÉÇ 47 +ÆEò 4 ¨ÉvªÉä |ÉEòÉʶÉiÉPublished in Maharashtra Quarterly bulletin of Economics and Statistics, for Jan.,- March,2007, Vol XLVII,

No - 4

Page 2: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

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ºÉnù®ú +½þ´ÉÉ±É ®úɹ]ÅõÒªÉ xɨÉÖxÉÉ {ÉɽþhÉÒSªÉÉ 56 ´ªÉÉ ¡äò®úÒiÉÒ±É {ÉjÉEò 1.0 ¨ÉvªÉä (VÉÖ±Éè, 2000-VÉÚxÉ, 2001)‘EÖò]ÖÆõ¤ÉÉSÉÉ ={ɦÉÉäMªÉ ¤ÉɤÉÓ´É®úÒ±É JÉSÉÇ’ ªÉÉ Ê´É¹ÉªÉɺÉƤÉÆvÉÒ MÉÉä³ýÉ Eò®úhªÉÉiÉ +ɱÉ䱪ÉÉ ¨ÉÉʽþiÉÒ´É®ú +ÉvÉÉÊ®úiÉ +ɽäþ. ªÉÉ+½þ´ÉɱÉÉiÉ ®úÉVªÉÉiÉÒ±É OÉɨÉÒhÉ ´É xÉÉMÉ®úÒ ¦ÉÉMÉÉiÉÒ±É ±ÉÉäEòÉÆSÉä ®úɽþhÉÒ¨ÉÉxÉ +¦ªÉɺÉhªÉÉSÉÉ |ɪÉixÉ Eò®úhªÉÉiÉ +ɱÉÉ +ɽäþ.

¨ÉÖƤÉ<Ç. (nù.®úÉ.¦ÉÉäºÉ±Éääý)ÊnùxÉÉÆEò::::: +lÉÇ ´É ºÉÉÆÎJªÉEòÒ ºÉÆSÉɱÉEò

Page 3: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

PREFACE

This report is based on the data collected in schedule 1.0 of 56th round(July, 2000 - June, 2001) of National Sample Survey on the subject ‘HouseholdConsumer Expenditure’. In this report, an attempt has been made to study theliving status of the persons in the rural and urban areas of the State.

Mumbai: ( D.R.Bhosale )Director of Economics and Statistics

Date:

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CONTENTS

Chapter/ Description PageAppendix No.

One Introduction 1

Two Concepts and Definitions 2

Three Sample Design and Estimation Procedure 4

Four Summary of Findings 9

Five Comparative picture in respect of the 13important characteristics of centraland state estimates

Six Comparative picture of some important 15characteristics based on the state sampleresults of earlier round and 56th round

Seven Employment and Unemployment situation 17

Appendix List of tables 21

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1.0 Beginning from the first round (1950-51) ofthe National Sample Survey (NSS), data onhousehold consumer expenditure were collected inevery round up to the 28th (1973-74) round survey.After the 26th round of the survey, the GoverningCouncil of NSSO decided that the surveys onconsumer expenditure and employment situationmight be undertaken together on a large scale oncein every five years. Accordingly, ”quinquennial”surveys on consumer expenditure and employmentsurveys were conducted in the 27th, 32nd, 38th,43rd, 50th and 55th rounds of NSS, at roughly 5year intervals and “Annual” Surveys in the42nd,44th to 49th,51st to 54th and 56th rounds ofNSS. In these quinquennial rounds both surveyschedules - Sch.1.0 dealing with householdconsumer expenditure and Sch.10, withemployment-unemployment - were canvassed. Forsome years, the two schedules were canvassed inthe same sample households, that is, householdsinterviewed for Sch.1.0 were also interviewed duringthe same visit for Sch.10. From the 55th round(1999-2000) onwards, this linkage was withdrawnto avoid a very long interview.

1.1 Annual series: The need for an annualseries of data on consumer expenditure was alsofelt in the mid-80’s by planners and research workers.The Governing Council therefore decided, that(i) the quinquennial consumer expenditure-cum-employment surveys would be carried on as beforeand (ii) every other round of NSS, starting fromthe 42nd (1986-87), would include a consumerexpenditure enquiry with 2 (increased to 4 from1993 onwards) sample households per samplevillage/block with a slightly abridged version ofSch.1.0. From the 45th round, it was decided toextend the scope of this “annual” survey onconsumer expenditure enquiry on a reduced scaleby introducing some important questions on activitystatus of household members in Sch.1.0 so as to beable to generate some indicators on employmentand unemployment as well. In each round sincethe 42nd, the duration of field investigation has been

Chapter - OneINTRODUCTION

one year except for the 47th, 49th and 54th rounds,which were of six month’s duration. TheGovernment of Maharashtra participates in theserounds on a matching sample basis independently.

1.2 The present report based on State samplegives the results of the 56th round survey (July 2000- June 2001) on “Consumer Expenditure”. In the56th round of NSS, the main enquiry was on‘Unorganised Manufacturing’ In addition, Sch.1.0was canvassed in 4 sample households per samplevillage/block.

1.3 Survey period and reference period: Thefield work of the 56th round survey was carried outduring the period July, 2000 to June, 2001. Thereference period for collection of data on ‘ConsumerExpenditure’ was 30 days preceding the date ofsurvey alongwith 365 days duration were used fordifferent groups of items.

1.4 Geographical coverage: The geographicalcoverage of the survey for the State sample was entirerural and urban areas of Maharashtra.

1.5 Sample size: The survey data collectedthrough sch.1.0 of 56th round covered about 7,296households spread over 288 Rural and 1,536 Urbanblocks.

1.6 Contents of the report: Concepts anddefinitions are given in Chapter two. Sample designand Estimation procedure is given in chapter 3.Chapter 4 deals with main findings of the survey.Comparative picture in respect of some of theimportant characteristics of the Central and Statesample estimates is shown in chapter 5. Chapter 6presents comparative picture of some importantchacteristics based on the State sample results ofearlier rounds and 56th round. The employmentand unemployment situation is discussed inChapter 7. The detailed tables are shown inAppendix-I.

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Chapter - TwoCONCEPTS AND DEFINITIONS

2.O Some of the concepts & definitions used inthe survey are given below.

2.1 Household: A group of personsnormally living together and taking food from acommon kitchen constitutes a household. The word“normally” means that temporary visitors areexcluded but temporary stay-aways are included.Thus, a son or daughter residing in a hostel forstudies is excluded from the household of his/herparents, but a resident employee or resident domesticservant or paying guest (but not just a tenant in thehouse) is included in the employer/host’shousehold. “Living together” is usually given moreimportance than “sharing food from a commonkitchen” in drawing the boundaries of a householdin case the two criteria are in conflict; however, inthe special case of a person taking food with hisfamily but sleeping elsewhere (say, in a shop or adifferent house) due to space shortage, the householdformed by such a person’s family members is takento include the person also. Each inmate of a mess,hotel, boarding and lodging house, hostel, etc. isconsidered as a single-member household except thata family living in a hotel (say) is considered as onehousehold only; the same applies to residential staffof such establishments.

2.2 Adult: A person who has completed 15years of age.

2.3 Household size: The size of a householdis the total number of persons in the household.

2.4 Household consumer expenditure: Theexpenditure incurred by a household on domesticconsumption during the reference period is thehousehold’s consumer expenditure. Householdconsumer expenditure is the total of the monetaryvalues of consumption of various groups of items,namely (i) food, pan (betel leaves), tobacco,intoxicants and fuel & light, (ii) clothing andfootwear and (iii) miscellaneous goods and servicesand durable articles.

2.5 For groups (i) and (ii), the total value ofconsumption is derived by aggregating themonetary value of goods actually consumed duringthe reference period. An item of clothing and

footwear was considered to have been consumed ifit is brought into maiden or first use during thereference period. The consumption may be out of(a) purchases made during the reference period orearlier; (b) home grown stock; (c) receipt inexchange of goods and services; (d) any other receiptlike gift, charity, borrowing and (e) free collection.Home produce is evaluated at the ex-farm or ex-factory rate. For evaluating the consumption of theitems of group (iii), i.e., items categorised asmiscellaneous goods and services and durablearticles, a different approach is followed. In this case,the expenditure made during the reference periodfor the purchase of goods and services is consideredas consumption.

2.6 Monthly per capita consumer expenditure(MPCE): For a household, this is its total consumerexpenditure divided by its size and expressed on aper month basis. A person’s MPCE is understoodas that of the household to which he or she belongs.

2.7 Reference period: The reference periodsused for collection of consumption data for differentgroups of items are given below:(i) Food,pan,tobacco and last 30 days

intoxicants,fuel &light,miscellaneousgoods & services,andmedical care(non-institutional).

(ii) Education,medical last 365 dayscare (institutional),clothing,footwearand durable goods.

2.8 Milk and milk products: This includeghee, butter, curd, ice-cream etc. Milk-basedsweetmeats (pera, rosogolla etc.) come under”beverages, refreshments and processed food” unlessthey are prepared from milk, sugar, etc. within thehousehold. In the latter case, consumption of milk,sugar, etc. are accounted separately instead of theentire consumption being accounted under “milkproducts.”

2.9 Clothing and footwear: This categoryincludes bedsheets, bedcovers, pillows, curtains,mattresses, blankets, rugs, mats and mattings, cotton

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yarn, wool, and knitting wool. It, however, excludestailoring charges, which come under “miscellaneousgoods and services.”

2.10 Miscellaneous goods and services: This isa residual group containing items other than food,pan, tobacco, intoxicants, fuel and light, clothing,footwear, rent, taxes and durable goods.

2.11 Durable goods:Items included here aredistinguished from miscellaneous goods by havinga longer expected lifetime of use (roughly, one yearor more). Expenditure incurred on repairs, andpurchase and construction of durables used fordomestic purpose is included in “expenditure ondurable goods”.

2.12 Katcha: A katcha structure is one whosewalls and roof are made of mud, bamboo, grass,leaves, reeds, thatch or unburnt bricks.

2.13 Pucca: A pucca structure is one whose wallsand roof are made of burnt bricks, stone, cement,concrete, jackboard (cement-plastered reeds) andtimber. Tiles, galvanised tin or asbestos cement sheetsused in construction of roofs are regarded as puccamaterials.

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2.14 Semi-pucca: A semi-pucca structure is oneof which either the roof or the walls but not both ismade of pucca materials like burnt bricks, stone,cement, concrete or timber.

2.15 Chawl/bustee: A chawl/bustee is acollection of huts (thatched houses or huts) ortenements which is generally constructed of katchaor semi-pucca materials like mud, bamboo, grass,leaves, reeds, thatch, unburnt bricks etc., and isinhabited by a large number of households.

2.16 Independent house: An independent houseis one which has a separate structure and entrancewith self-contained arrangements. In other words,if the dwelling unit and the entire structure of thehouse are physically the same, it is considered as anindependent house. Here dwelling unit means livingrooms, kitchen, bathroom, latrine, store-room,verandah (both open and closed).

2.17 Flat: A flat, generally, is a part of a buildingand has one or more rooms with self-containedarrangements and normal housing facilities likewater supply, latrine, toilet etc., which are usedexclusively by the family residing therein or jointlywith other families. It also includes detatched roomor rooms with or without other housing facilities.

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Chapter - ThreeSAMPLE DESIGN AND ESTIMATION PROCEDURE

3.0 Introduction: The NSS 56th round wasfocused on unorganised manufacturing enterprises.In addition, the annual consumer expenditureenquiry covering some key characteristics ofemployment-unemployment was conducted, on athin sample of four households in each samplevillage/block.

3.1 Period of survey and work programme:The fieldwork of the fifty-sixth round commencedon 1st July, 2000 and ended on 30th June, 2001.The survey period of this round was divided intofour sub-rounds of three months duration each asfollows:

sub-round no. period of survey1 July-September 20002 October-December 20003 January-March 20014 April-June 2001

Equal number of sample FSUs wasallotted for survey in each of these four sub-rounds.

3.2 Sample design in outline: A stratifiedmulti-stage sample design was adopted with villages/UFS blocks as the first stage units (FSUs) andmanufacturing enterprises (OAME/NDME/DMEs)in the unorganised sector as the ultimate stage units(USUs). For consumer expenditure andemployment-unemployment survey, however,households were the USUs.

3.3 Stratification: Rural: Each district has beentreated as a stratum for all States/UTs.

sub-stratum 1: FSUs with no unorganisedmanufacturing enterprises

sub-stratum 2: FSUs with at least one DMEin the unorganised sector

sub-stratum 3: remaining FSUs

Formation of a sub-stratum has beenconsidered only when there were at least 20 FSUsin that sub-stratum; otherwise that particular sub-stratum was not formed and merged with other sub-stratum as per the following working rule:

Sub-stratum 1 (sub-stratum 3) with less than20 FSUs has been merged with sub-stratum 3 (sub-stratum 1).Sub-stratum 2 with less than 8 FSUs hasbeen merged with sub-stratum 3. In case of mergerof two or more sub-strata, the FSUs have beenidentified with the sub-stratum having larger numberof FSUs.

Formation of a sub-stratum has beenconsidered only when there were at least 20 FSUsin that sub-stratum; otherwise no sub-stratificationhas been effected and all FSUs in this case have beentaken to belong to sub-stratum 2 for facilitatingprocessing work only.

Urban: Strata have been formed within eachNSS region of a State/UT. The towns within anNSS region have been grouped to form strataaccording to the population of the towns as per 1991population Census as given below (P stands forpopulation of ‘91 census):

i) Stratum 1:all towns with P < 50000ii) Stratum 2:all towns with 50000 < P

< 100000iii) Stratum 3:all towns with 100000 < P

< 500000iv) Stratum 4:all towns with 500000 < P

< 1000000v) Stratum 5/6/7:Each town with P >

1000000

Within each stratum,three sub-strata havebeen formed based on EC-98 information as under:

sub-stratum 1: FSUs with no unorganisedmanufacturing enterprises

sub-stratum 2: FSUs with at least one DMEin the unorganised sector

sub-stratum 3: remaining FSUs

Sub-stratum 1 (sub-stratum 3) with less than20 FSUs has been merged with sub-stratum 3 (sub-stratum 1) and has been identified with the sub-stratum 3 (sub-stratum 1). Sub-stratum 2 with lessthan 8 FSUs has been merged with sub-stratum 3.In case of merger of two or more sub-strata,the

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FSUs have been identified with the sub-stratumhaving larger number of FSUs.

Priority order that has been followed inincluding a ‘mixed area’ type FSU e.g. IA and BA,BA and RA (i.e. Residential Area), etc. in sub-stratais IA and then BA e.g. an FSU identified as bothIA and BA is included in sub-stratum 1.

Sub-stratum with less than 20 FSUs has beenmerged with other sub-stratum under a working ruleas given below:

Sub-stratum 1 is to be merged with sub-stratum 2 if the latter has already been formed;otherwise sub-stratum 1 is to be merged with sub-stratum 3.

3.4 Allocation between rural and urbansectors: The allocation of FSUs between rural andurban sectors was made in proportion to the numberof workers engaged in unorganised non-agriculturalenterprises as per EC‘98 with 1.5 weightage to Urbansector.

3.5 Allocation among strata/sub-strata:Allocations to strata/sub-strata in both rural andurban sectors were made in proportion to the numberof non-agricultural workers in the unorganisedsector as per EC‘98.

Allocation to any stratum/sub-stratum was adjustedto a multiple of 2 FSUs. (When the proportionalallocation turned out to be less than three, it wasadjusted to 2. When the allocation was greater thanor equal to 3 but less than 5, it was adjusted to 4and so on.)

While allocating FSUs to stratum/sub-stratum therepresentation of each (stratum x sub-stratum x sub-sample) was ensured.

3.6 Selection of FSUs: For sub-stratum 1 ofeach stratum in rural/urban sector of each State/UT. FSUs have been selected by simple randomsampling without replacement (SRSWOR). Forall other sub-strata in both rural and urban sectors,FSUs have been selected circular systematically(CSS) with probability proportional to size (PPS),size being the number of manufacturing workers inthe unorganised sector as per EC ‘98. For an FSUwith no manufacturing worker, size 1 has beenassigned to that FSU before drawing samples.

However, some manufacturing enterprises have beenfound to have large number of workers as per EC‘98 frame even though they are in the unorganisedsector. Some adjustment to the size of workers forsuch enterprises has, therefore, been made beforecalculating the size of FSUs. For this purpose, anyunorganised manufacturing enterprise having morethan 200 workers has been deemed to have size equalto 200. Enterprise sizes have been thereafter addedup to get the FSU size and sub-stratum/stratum size.

Sample FSUs have been drawn in the form of twoindependent sub-samples in both the sectors.However, for sub-strata 2 and 3 of both the sectors,a little modification in the usual procedure for CSSPPS scheme was made at the selection stage so thatrepetition of FSU within a sub-sample or betweensub-samples could be avoided. The modification wasas follows:

In any cycle of CSS, if the selected FSUwas found to be already present in the sample (eitherin the first or in the second sub-sample),it wasskipped and next cycle was executed by adding thesampling interval in order to select a fresh FSU. Asa result, all the selected FSUs in the two sub-samplestaken together were distinct for the sub-stratum. Insome sub-strata where there were some big-sizedFSUs, the procedure did not result in selection ofrequired number of distinct FSUs because asituation was encountered where the sample FSUswere repeated again and again even after addingthe sampling interval. In a few such cases, where afresh FSU was not found even after 20 cycles, thefirst unselected FSU obtained by scanning the sub-stratum from the top of the frame was selected. InCentral sample, the selection of samples for 1st sub-sample was completed first and then the FSUs of2nd sub-sample were drawn. In case of State sample,sampling was done independently of Centralsample. But within the state sample, the procedureof selection was same as in the case of Centralsample. It may be noted that in view of the abovemodification, the two sub-samples are no moreindependent.

For uniform spread of field work over the surveyperiod all the sample FSUs pertaining to a State/UT have been arranged, separately for centralsample and state sample, first by stratum and theneach stratum by sub-stratum and each sub-stratumby sub-sample and then sub-round number has beenassigned against sample FSUs in the sequence 1,2,3,4.

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^ ^

3.7 Formation of hamlet-group/sub-block:Hamlet-group/sub-block (hg/sb) was formed inlarge FSUs by considering the population andenterprise criteria as indicated below:

Population No.of hgs/sbs No.of non-agricultural No.of hgs/sbs(P) to be formed enterprises(E) to be formed

0 - 1200 1 0 - 120 11201 - 1600 4 121 - 160 4

1601 - 2000 5 161 - 200 52001 - 2400 6 201 - 240 6

and so on and so on

The higher of the two values as per population andenterprise criteria was accepted as the number (D)of hgs/sbs to be actually formed. Hamlet-group/sub-block was formed by more or less equalising

population. Three hgs/sbs were selected - one withthe maximum number of DMEs (or with maximumnumber of NDMEs if there was no DME or withmaximum number of OAMEs if there was noDME/NDME in the FSU) or with maximumpercentage share of population if there was nomanufacturing enterprise in the entire FSU, wasalways selected and termed as Segment 1; other twowere selected circular systematically with equalprobability and combined to form Segment 2.

3.8 Sampling of households (for schedule1.0): A thin sample of 4 households was selectedfrom the households listed in the sample village/block for canvassing schedule 1.0. In villages/blockswith hg/sb formation, two households were selectedfrom each of the two segments for this purpose. Incase of a shortfall in the required number ofhouseholds in a particular segment, the quota forthe other segment was increased so that a total of 4households got selected in all. The households werefirst arranged by their means of livelihood and thenthe required number of sample households wasselected circular systematically with equal probabilityfor each segment of the village/block separately.

3.9 Estimation Procedure

3.9.1 Notations:

s = subscript for s-th stratumt = subscript for t-th sub-stratum (t=1, 2 or 3)m = subscript for sub-sample (m=1,2)i = subscript for i-th village/ block(FSUs)l = subscript for segment 12 = subscript for segment 2

j = subscript for j-th enterprise type(j=1 forOAME; j=2 for NDME, j=3 for DME)

k = subscript for k-th sample enterprise under aparticular enterprise type for Sch.2.2 andk-th sample household for Sch.1.0

D = total no. of h.gs/s.bs formed in the samplevillage/block

Z = total size of a stratum/sub-stratumz = size of village/block used for selectionn’= number of sample village/blocks allotted

for a particular sub-samplen = number of sample villages/blocks surveyed

including zero cases for a particular sub-sample

π ‘A= inclusion probability for the sample FSUE = total no.of enterprises listed for a particular

enterprise type in a segment of sample FSUe = total no.of enterprises surveyed for a

particular enterprice type in a segment ofsample FSU

H = total no. of households listed in a segmentof sample FSU

h = total no. of households surveyed in asegment of sample FSU

x,y= observed values of characters X,Y underestimation

X,Y= estimate of population total of thecharacters X, Y

Then ystmiljk= observed value of the character Yfor the k-th sample enterprise of the j-th enterprisetype belonging to segment-1 of i-th village/block(FSUs) of m-th sub-sample of the t-th sub-stratumof s-th stratum.

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[ +( ) ],

3.9.2 Formulae for estimation for a particularstratum x sub-stratum x sub-sample:

iii) Estimate for stratum:

^

Sch. 1.0:

i) Estimation formula for sub-stratum 1:

i) Estimation formula for sub-strata 2 & 3:

a) for sub-sample 1:

b) for sub-sample 2:

Ystm = A + B, (t = 2, 3; m = 2) where

^nstm hstmi1 hstmi2

Ystm= Σ 1 [ Hstmi1 Σ ystmilk +( Dstmi- 1) Hstmi2 Σ ystmi2k ],i=1 πstmi hstmi1 k=1 2 hstmi2 k=1

(t=2, 3; m=1).. .. .. (A2.1)

^ Σ [ Σ ( ) Σ ]

(t =1; m = 1,2 )

.. .. .. (A1)

nstm hstmi1 hstmi2Ystm= Zst Hstmi1 ystmi1k + Dstmi-1 Hstmi2 ystmi2k

nstm i=1 hstmi1 k=1 2 hstmi2 k=1

nstm hstmi1 hstmi2

A= Σ [ Hstmi1 Σ ystmilk + ( Dstmi- 1) Hstmi2 Σ ystmi2k ],i=1 hstmi k=1 2 hstmi2 k=1

(t=2, 3; m=1)

andnstm hstmi1 hstmi2

B = Σ Σ ystmilk Σ ystmi2ki=1 k=1 k=1

(t=2, 3; m=2).. .. .. (A2.2)

1 Hstmi1 Dstmi-1 Hstmi2π’stmi hstmi1 2 hstmi2

Ysm= Σ Ystm, (m=1, 2)t=1

.. .. .. (A3)

^ 3 ^

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3.8 Treatment for zero, casualty cases etc.:

3.8.1 While counting number of FSUs (nstm)surveyed in a stratum/sub-stratum all the FSUs withsurvey codes 3 and 6 (i.e. zero case) for sch.1.0 arealso considered. In addition, if no USU is availablefor a particular schedule in the frame then also thatFSU has been treated as surveyed in respect of thatschedule. However, if the USUs are available in theframe of the FSU but could not be surveyed thenthat FSU has been treated as casualty and it wasnot treated as surveyed.

3.8.2 Casualty cases: FSUs with survey code 7as per sch. 0.0 are treated as casualties. In additionto this, an FSU, although surveyed, may have to betreated as casualties for a particular schedule typeand enterprise type as given in the following para;

3.8.2.1 Sch.1.0: FSUs with survey codes 1 and 4having frame households greater than 0 but surveyedhouseholds as per the data file as nil, consideringboth segments together,(i.e. H stmi 1 + H stmi 2 >0 but hstmi 1 + hstmi 2 = 0) have been taken ascasualties. All the FSUs with survey codes 1-6minus the number of casualties as identified abovefor sch. 1.0 were taken as the number of surveyedFSUs (nstm) for that stratum x sub-stratum.

- X -

When casualty occurs for a particularsegment but not for the other segment, the FSU wasnot treated as casualty but some adjustments in thevalue of H for the other segment was done asfollows:

i) Suppose for segment 1, H stmi 1 > 0 but hstmi1 = 0 while for segment 2, H stmi2 > 0 and hstmi 2> 0. In that case Dstmi - 1 H stmi2 was replaced

2by Hstmi1+ Dstmi- 1 Hstmi2 in the

2

formula for multiplier of segment 2. Multiplier forsegment 1 was 0.

ii) Suppose for segment 1, H stmi 1 > 0 andhstmi 1 > 0 while for segment 2, H stmi 2 > 0 buthstmi 2 = 0. In that case H stmi 1was replaced by Hstmi1 + Dstmi- 1 Hstmi2

2

in the formula for multiplier of segment1. Multiplierfor segment 2 was 0.

It may be noted that nstm is always the samefor both segments of an FSU.

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4.0 Some of the important findings of the sur-vey on “Household consumer expenditure”are givenin the following paragraph.

4.1 The percentage distribution of householdsand persons according to monthly per capitaexpenditure (MPCE) class for rural and urban areasis given in Table No.4.1.It is observed from the table

Chapter - FourSUMMARY OF FINDINGS

iÉCiÉÉ Gò¨ÉÉÆEò / Table No.4.1nù®úb÷Éä<Ç ÉÉʺÉEò JÉSÉÇ ÉMÉÉÇxÉÖºÉÉ®ú EÖò]ÖÆõ¤Éä É ªÉÏCiÉSÉÒ ]õCEäò´ÉÉ®úÒ

Percentage distribution of households and persons according to monthly per capita expenditure class

nù®úb÷Éä<Ç ¨ÉÉʺÉEò JÉSÉÇ ´ÉMÉÇ (¯û.) ]õCEäò´ÉÉ®úÒ |ÉiÉÒ EÖò]ÖÆõ¤É ´ªÉÏCiÉSÉÒ ºÉ®úɺɮúÒ ºÉÆJªÉÉMPCE class(Rs.) Percentage distribution of Average number of

EÖò]ÖÆõ¤Éä/Households ´ªÉCiÉÒ/Persons persons per household(1) (2) (3) (4)

OÉɨÉÒhÉ /Rural < 225 0.9 2.3 11.92225 - 255 1.2 1.9 6.70255 - 300 2.0 2.8 6.47300 - 340 4.0 4.8 5.25340 - 380 7.4 9.0 5.39380 - 420 10.7 12.0 5.04420 - 470 13.5 13.7 4.52470 - 525 14.5 15.5 4.77525 - 615 11.7 10.7 4.09615 - 775 12.7 11.3 3.96775 - 950 9.0 6.8 3.35950 > = 12.3 9.3 3.38ºÉ´ÉÇ ÉMÉÇ /All classes 100.0 100.0 4.47+ÆnùÉÊVÉiÉ EÖò]ÖÆõ¤Éä/´ªÉCiÉÒ

Estimated households/persons(00) 118376 529096 -nù®úb÷Éä<Ç ¨ÉÉʺÉEò JÉSÉÇ(¯û.)/MPCE (Rs.) 573.44 -

xÉÉMÉ®úÒ / Urban<300 0.8 1.2 6.27300 - 350 1.7 2.5 6.64350 - 425 3.9 5.3 5.97425 - 500 4.9 6.5 5.74500 - 575 6.5 8.4 5.61575 - 665 7.2 8.5 5.11665 - 775 10.2 12.0 5.13775 - 915 10.9 12.1 4.85915 - 1120 13.4 12.7 4.151120 -1500 18.9 15.2 3.511500 -1925 9.7 7.2 3.261925 > = 11.9 8.3 3.05ºÉ´ÉÇ ÉMÉÇ /All classes 100.0 100.0 4.36+ÆnùÉÊVÉiÉ EÖò]ÖÆõ¤Éä/´ªÉCiÉÒ

Estimated households/persons (00) 75388 328619 -nù®úb÷Éä<Ç ¨ÉÉʺÉEò JÉSÉÇ(¯û.)/MPCE (Rs.) 1042.39 -

that the average monthly per capita expenditure forrural and urban areas was Rs.573.44 and Rs.1042.39respectively. In rural areas about 68 per cent of thepersons and about 61 per cent of the householdshad their monthly per capita expenditure (MPCE)below the respective average expenditure, while inurban areas about 64 per cent of the persons fromabout 54 per cent of the households had their MPCE

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below the respective average expenditure. The averagenumber of persons per household in rural areas wasobserved to be 4.47 whereas in urban areas it was4.36. The average number of persons per householdwas maximum in the lowest MPCE class. While itwas minimum in the MPCE class Rs.775-950 in ruralareas. Similarly, in urban areas average number ofpersons per household was maximum in the MPCEclass Rs.300-350, whereas it was minimum in thehighest MPCE class.

4.2 The average value of consumption (Rs.) bybroad groups of items per person for a period of 30days for rural and urban areas and for the State aregiven in Table No.4.2.It is seen from the table thatthe average monthly per capita expenditure for the

State was Rs.753.11. It was Rs.573.44 for rural areasand Rs.1042.39 for urban areas respectively. Themonthly per capita expenditure on non-food itemsfor the State was Rs.402.60.For rural and urbanareas, it was Rs.278.47 and Rs.602.47 respectively.The monthly per capita expenditure on food itemsfor the State was Rs.350.51. For rural & urban areas,it was Rs.294.97 and Rs.439.93 respectively. It isobserved that monthly per capita expenditure onfood and non-food items in urban areas is more ascompared to State & rural areas. It was also seenfrom the table that in food items, the maximumexpenditure was incurred on cereals, while in non-food items, the maximum expenditure was incurredon miscellaneous goods and services in both therural & urban areas of the State.

iÉCiÉÉ Gò¨ÉÉÆEò / Table No. 4.2ºlÉÚ±É MÉ]õÊxɽþÉªÉ 30 Ênù´ÉºÉÉÆSªÉÉ EòɱÉÉ´ÉvÉÒiÉÒ±É nù®úb÷Éä<Ç ´ÉÉ{É®úÉSÉä ºÉ®úɺɮúÒ ¨ÉÚ±ªÉ (¯û.)

Average value (Rs.0.00) of consumption of broad group of items per person for a period of 30 days

¤ÉɤÉ/Item OÉɨÉÒhÉ/Rural xÉÉMÉ®úÒ/Urban ®úÉVªÉ/State(1) (2) (3) (4)

iÉÞhÉvÉÉxªÉä/Cereals 82.77 99.26 89.09½þ®ú¦É®úÉ/Gram 2.84 2.75 2.80iÉÞhÉvÉÉxªÉÉÆSÉä {ɪÉÉǪÉ/Cereal substitutes 2.35 2.12 2.26b÷ɳýÒ É Eòb÷vÉÉxªÉä/Pulses and products 19.44 23.25 20.90nÖùvÉ É nÖùMvÉ{ÉnùÉlÉÇ/Milk and milk products 37.80 75.00 52.05JÉÉt iÉä±É/Edible oil 26.91 33.98 29.62¨ÉÉƺÉ, +Æb÷Ò É ÉɺÉä/Meat, egg and fish 19.32 30.42 23.57¦ÉÉVÉÒ{ÉɱÉÉ/Vegetables 29.93 43.45 35.11¡ò³ý¡ò³ýÉ É³ý/Fruits and nuts 18.21 31.90 23.46ºÉÉJÉ®ú/Sugar 16.44 16.12 16.32¨ÉÒ ö É ÉºÉɱÉä/Salt and spices 14.45 14.44 14.45{ÉäªÉä É +±{ÉɽþÉ®/Beverages and refreshment 24.53 67.23 40.89BEÚòhÉ JÉÉt {ÉnùÉlÉÇ/Food total 294.97 439.93 350.51{ÉÉxÉ, iÉƤÉÉJÉÚ É ÉÉnùEò pù ªÉä/Pan,tobacco and intoxicant 13.81 15.70 14.53<ÆvÉxÉ É Ênù ÉɤÉkÉÒ/Fuel and light 56.41 91.22 69.75´ÉºjÉ |ÉÉ´É®úhÉä/Clothing 43.49 64.73 51.62{ÉÉnùjÉÉhÉä/Footwear 6.93 11.86 8.82ºÉÆÊEòhÉÇ ÉºiÉÚ É ºÉä ÉÉ/Miscellaneous goods & services 147.77 395.62 242.73Ê]õEòÉ>ò ɺiÉÚ/Durable goods 10.06 23.34 15.15BEÚòhÉ JÉÉtäiÉ®ú {ÉnùÉlÉÇ/Non-food total 278.47 602.47 402.60BEÚòhÉ JÉSÉÇ/Total expenditure 573.44 1042.39 753.11

4.3 The percentage distribution of monthly percapita expenditure by broad groups of items for ruraland urban areas and for the State is given in TableNo.4.3. For the State out of total monthly per capitaexpenditure 47 per cent expenditure was incurredon food items, while 53 per cent expenditure was

incurred on non-food items. The correspondingfigures for rural areas were 51 per cent and 49 percent respectively. For urban areas these were 42 percent and 58 per cent respectively. Further, it isobserved that the maximum share of total monthlyper capita expenditure for food items was on cereals,

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iÉCiÉÉ Gò¨ÉÉÆEò/Table No. 4.3ºlÉÚ±É MÉ]õÊxɽþÉªÉ nù®úb÷Éä<Ç ÉÉʺÉEò JÉSÉÉÇSÉÒ ]õCEäò´ÉÉ®úÒ

Percentage distribution of monthly per capita expenditure by broad group ofitems

¤ÉɤÉ/Item OÉɨÉÒhÉ/Rural xÉÉMÉ®úÒ/Urban ®úÉVªÉ/State(1) (2) (3) (4)

iÉÞhÉvÉÉxªÉä/Cereals 14.43 9.52 11.83½þ®ú¦É®úÉ/Gram 0.48 0.26 0.37iÉÞhÉvÉÉxªÉÉÆSÉä {ɪÉÉǪÉ/Cereal substitutes 0.41 0.20 0.30b÷ɳýÒ É Eòb÷vÉÉxªÉä/Pulses and products 3.39 2.23 2.78nÖùvÉ É nÖùMvÉ{ÉnùÉlÉÇ/Milk and milk products 6.59 7.20 6.91JÉÉt iÉä±É/Edible oil 4.69 3.26 3.93¨ÉÉƺÉ, +Æb÷Ò É ÉɺÉä/Meat, egg and fish 3.37 2.92 3.13¦ÉÉVÉÒ{ÉɱÉÉ/Vegetables 5.22 4.17 4.66¡ò³ý¡ò³ýÉ É³ý/Fruits and nuts 3.18 3.06 3.12ºÉÉJÉ®ú/Sugar 2.87 1.55 2.17¨ÉÒ ö É ÉºÉɱÉä/Salt and spices 2.52 1.39 1.92{ÉäªÉä É +±{ÉɽþÉ®/Beverages and refreshment 4.28 6.45 5.43BEÚòhÉ JÉÉt {ÉnùÉlÉÇ/Food total 51.44 42.20 46.54{ÉÉxÉ, iÉƤÉÉJÉÚ É ÉÉnùEò pù ªÉä/Pan,tobacco and intoxicant 2.41 1.51 1.93<ÆvÉxÉ É Ênù ÉɤÉkÉÒ/Fuel and light 9.84 8.75 9.26´ÉºjÉ |ÉÉ´É®úhÉä/Clothing 7.58 6.21 6.85{ÉÉnùjÉÉhÉä/Footwear 1.21 1.14 1.17ºÉÆÊEòhÉÇ ÉºiÉÚ É ºÉä ÉÉ/Miscellaneous goods 25.77 37.95 32.23Ê]õEòÉ>ò ɺiÉÚ/Durable goods 1.75 2.24 2.01BEÚòhÉ JÉÉtäiÉ®ú {ÉnùÉlÉÇ/Non-food total 48.56 57.80 53.46BEÚòhÉ JÉSÉÇ/Total expenditure 100.00 100.00 100.00

milk and milk products, vegetables, edible oil andbeverages and refreshment in both the rural & urbanareas. The percentage expenditure on food items inrural areas was found to be more than that in urbanareas. While on non-food items,the percentageexpenditure was found to be less in rural areas ascompared to that in urban areas.

4.4 The average per capita quantity (in kg) andvalue (in Rs.) of consumption of cereals for a periodof 30 days for rural and urban areas of the State aregiven in Table No.4.4. It is observed from the tablethat in rural areas the quantity of cereals consumedper person for a period of 30 days was 10.32 kg.having a value of Rs.82.77. In urban areas, the

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.4.430 Ênù´ÉºÉÉSªÉÉ EòɱÉÉ´ÉvÉÒiÉÒ±É iÉÞhÉvÉÉxªÉÉÆSªÉÉ nù®úb÷Éä<Ç ¨ÉÉʺÉEò ´ÉÉ{É®úÉSÉä ºÉ®úɺɮúÒ {ÉÊ®ú¨ÉÉhÉ (ÊEò.OÉÄ.) ´É ¨ÉÚ±ªÉ (¯û.)

Average per capita quantity (kg) and value (Rs.) of consumption of cereals for a period of 30 days

iÉÞhÉvÉÉxªÉ/Cereal {ÉÊ®ú¨ÉÉhÉ (ÊEò.OÉÄ.)/Quantity (kg) ¨ÉÚ±ªÉ (¯û.)/Value (Rs.)OÉɨÉÒhÉ/Rural xÉÉMÉ®úÒ/Urban OÉɨÉÒhÉ/Rural xÉÉMÉ®úÒ/Urban

(1) (2) (3) (4) (5)iÉÉÆnÚù³ý/Rice 2.61 3.20 28.53 42.91MɽÚþ/Wheat 3.49 4.60 27.98 46.95V´ÉÉ®úÒ/Jowar 3.13 1.01 19.74 8.01¤ÉÉVÉ®úÒ/Bajra 0.78 0.19 4.66 1.32BEÚòhÉ iÉÞhÉvÉÉxªÉä/Total cereals 10.32 9.00 82.77 99.26

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iÉCiÉÉ Gò¨ÉÉÆEò/Table No.4.530 Ênù´ÉºÉÉSªÉÉ EòɱÉÉ´ÉvÉÒiÉÒ±É iÉÞhÉvÉÉxªÉÉÆ É®úÒ±É JÉSÉÉÇSÉÒ BEÚòhÉ JÉSÉÉǶÉÒ ]õCEäò´ÉÉ®úÒ ´É BEÚòhÉ iÉÞhÉvÉÉxªÉÉƶÉÒ iÉÞhÉvÉÉxªÉÉÆSªÉÉ nù®úb÷Éä<Ç ´ÉÉ{É®úÉSÉÒ ]õCEäò´ÉÉ®úÒ

Percentage of expenditure on cereals to total consumer expenditure and percentage distribution ofquantity of cereals consumed per person for a period of 30 days by items of cereals

¤ÉɤÉ/Item iÉÞhÉvÉÉxªÉÉÆ É®úÒ±É JÉSÉÉÇSÉÒ BEÚòhÉ JÉSÉÉǶÉÒ ]õCEäò´ÉÉ®úÒ iÉÞhÉvÉÉxªÉÉÆSªÉÉ ´ÉÉ{É®úÉSÉÒ BEÚòhÉ iÉÞhÉvÉÉxªÉÉƶÉÒ ]õCEäò´ÉÉ®úÒPercentage of expenditure Percentage of quantity

on cereals to total of cereals consumed expenditure to total cereals

OÉɨÉÒhÉ/Rural xÉÉMÉ®úÒ/Urban OÉɨÉÒhÉ/Rural xÉÉMÉ®úÒ/Urban(1) (2) (3) (4) (5)

iÉÉÆnÚù³ý/Rice 4.98 4.11 25.29 35.56MɽÚþ/Wheat 4.88 4.50 33.82 51.11V´ÉÉ®úÒ/Jowar 3.44 0.77 30.33 11.22¤ÉÉVÉ®úÒ/Bajra 0.81 0.13 7.56 2.11¨ÉEòÉ/Maize 0.29 0.00 2.71 0.00<iÉ®ú iÉÞhÉvÉÉxªÉä/Other cereals 0.04 0.00 0.29 0.00BEÚòhÉ iÉÞhÉvÉÉxªÉä/Total cereals 14.43 9.52 100.00 100.00ºÉ´ÉÇ JÉÉt{ÉnùÉlÉÇ/All food items 51.44 42.20 X X

corresponding figures were 9.00 kg. & Rs.99.26respectively. Wheat was the major cereal item ofconsumption for both rural (3.49 kg.) & urban (4.60kg.) areas having a value of Rs.27.98 & Rs.46.95respectively. It is further observed that the totalquantity of cereals consumed per capita was higherin rural areas than that in urban areas, whereas thetotal value of cereals was found to be higher in urbanareas.

4.5 The percentage of expenditure on cereals tototal consumer expenditure and percentage ofquantity of cereals consumed per person for a periodof 30 days by items of cereals for rural and urbanareas is given in Table No.4.5. It is seen from thetable that the percentage of expenditure on cerealsout of total consumer expenditure in rural areas wasfound to be more than that in urban areas. In ruralareas, rice was the major item of expenditure in terms

of percentage, while in urban area wheat was themajor item of expenditure. No direct informationwas collected on the prices of items of cereals in thesurvey. So dividing the value of consumption of anitem by the corresponding quantity gives the averageprices of different cereals.

4.6 Average price (per kg.) of different items of

cereals as derived from value and quantity ofconsumer expenditure for rural and urban areas ofthe State is given in Table No. 4.6. It is seen thataverage prices of all cereals were higher in urbanareas. An implicit average price (Per kg.) for riceand wheat in rural areas were Rs.10.93 & Rs.8.02respectively. The corresponding figures in urban areaswere Rs.13.41 and Rs.10.21 respectively.

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.4.6´ÉÉ{É®úÉSªÉÉ ¨ÉÚ±ªÉ ´É {ÉÊ®ú¨ÉÉhÉ +ÉEòbä÷´ÉÉ®úҴɯûxÉ EòÉfø±Éä±ÉÒ Ê´ÉÊ´ÉvÉ iÉÞhÉvÉÉxªÉÉÆSÉÒ |ÉÊiÉ ÊEò±ÉÉäOÉì É ºÉ®úɺɮúÒ ËEò¨ÉiÉ

Average price (per kg.) of different items of cereals as derived from the value and quantity figures ofconsumer expenditure for rural and urban areas

¤ÉɤÉ/Item ºÉ®úɺɮúÒ ËEò¨ÉiÉ (¯û.)/Average price (Rs.)OÉɨÉÒhÉ/Rural xÉÉMÉ®úÒ/Urban

(1) (2) (3)iÉÉÆnÚù³ý/Rice 10.93 13.41MɽÚþ/Wheat 8.02 10.21V´ÉÉ®úÒ/Jowar 6.31 7.93¤ÉÉVÉ®úÒ/Bajra 5.97 6.95BEÚòhÉ iÉÞhÉvÉÉxªÉä/Total cereals 8.02 11.03

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Chapter - FiveCOMPARATIVE PICTURE IN RESPECT OF THE IMPORTANT

CHARACTERISTICS OF CENTRAL & STATE SAMPLE ESTIMATES

5.0 The State participates in the National SampleSurvey Programmes on a matching sample basis.An independent matching sample was drawn forthe State for which all steps viz-field work, tabulationetc, were carried out independently. An independentset of results is therefore, available for the Statesample. The results from two independent samplesnamely State & Central Sample, helps not only inincreasing the precision of the results by way ofcombining them but the difference between the twoestimates gives also an idea about the magnitude of

5.2 Value (Rs.) of consumption of food andnon - food items and total expenditure per personfor a period of 30 days for both the State & Centralsample are given in Table No.5.2. It is seen from the

the error, due to the sampling of the enquiry. Thefollowing paragraphs gives comparison for someimportant characteristics of the household consumerexpenditure.

5.1 The average number of persons perhousehold according to State and Central sampleis given in the Table No.5.1. It is observed that theestimated average household size was coincidingwith Central sample estimates in the urban areabut it is lower in the rural area in State sample ascompared to Central sample.

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.5.1|ÉiÉÒ EÖò]ÖÆõ¤É ´ªÉÏCiÉSÉÒ ºÉ®úɺɮúÒ ºÉÆJªÉÉ

Average number of persons per household

IÉäjÉ/Area EÖò]ÖÆõ¤ÉÉSÉÉ ºÉ®úɺɮúÒ +ÉEòÉ®ú/Average household sizeEåòpù/Central ®úÉVªÉ/State

(1) (2) (3)

OÉɨÉÒhÉ/Rural 4.9 4.5

xÉÉMÉ®úÒ/Urban 4.4 4.4

table that the State sample estimates are on higherside than the Central sample estimates in both theareas; except the expenditure on food in urban areas.

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.5.230 Ênù´ÉºÉÉSªÉÉ EòɱÉÉ´ÉvÉÒiÉÒ±É JÉÉt É JÉÉtäiÉ®ú ¤ÉɤÉÓSªÉÉ BEÚòhÉ nù®úb÷Éä<Ç ÉÉ{É®úÉSÉä ÉÚ±ªÉ (¯û.)

Value (Rs.) of consumption of food and non-food items andtotal expenditure per person for a period of 30 days

¤ÉɤÉ/Item OÉɨÉÒhÉ/Rural xÉÉMÉ®úÒ/UrbanEåòpù/Central ®úÉVªÉ/State Eåòpù/Central ®úÉVªÉ/State

(1) (2) (3) (4) (5)

JÉÉt {ÉnùÉlÉÇ/Food 271.21 294.97 473.01 439.93

JÉÉtäiÉ® {ÉnùÉlÉÇ/Non-food 235.62 278.47 596.91 602.47

BEÚòhÉ JÉSÉÇ/Total expenditure 506.84 573.94 1033.93 1042.39

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-X-

5.3 Quantity (kg.) and value (Rs.) ofconsumption of cereals per person for a period of30 days for Central and State sample are given inthe Table No. 5.3. It is seen from the table that Central

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.5.330 Ênù´ÉºÉÉSªÉÉ EòɱÉÉ´ÉvÉÒiÉÒ±É iÉÞhÉvÉÉxªÉÉSªÉÉ nù®úb÷Éä<Ç ´ÉÉ{É®úÉSÉä {ÉÊ®ú¨ÉÉhÉ (ÊEò.OÉì.) ´É ¨ÉÚ±ªÉ (¯û.)

Quantity (kg.) and value (Rs.) of consumption of cereals per person for a period of 30 days

IÉäjÉ/Area Eåòpù/Central ®úÉVªÉ/State{ÉÊ®ú¨ÉÉhÉ (ÊEò.OÉì.) ¨ÉÚ±ªÉ(¯û.) {ÉÊ®ú¨ÉÉhÉ (ÊEò.OÉì.) ¨ÉÚ±ªÉ(¯û.)Quantity (kg) Value(Rs.) Quantity (kg) Value(Rs.)

(1) (2) (3) (4) (5)

OÉɨÉÒhÉ/Rural 10.81 82.16 10.32 82.77

xÉÉMÉ®úÒ/Urban 9.20 99.57 9.00 99.26

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.5.430 Ênù´ÉºÉÉSªÉÉ EòɱÉÉ´ÉvÉÒiÉÒ±É iÉÞhÉvÉÉxªÉÉÆ ªÉÊiÉÊ®úCiÉ JÉÉt{ÉnùÉlÉÉÇÆSªÉÉ nù®úb÷Éä<Ç ÉÉ{É®úÉSÉä ÉÚ±ªÉ (¯û.)

Value (Rs.) of consumption of food items other thancereals per person for a period of 30 days

¤ÉɤÉ/Item OÉɨÉÒhÉ/Rural xÉÉMÉ®úÒ/UrbanEåòpù/Central ®úÉVªÉ/State Eåòpù/Central ®úÉVªÉ/State

(1) (2) (3) (4) (5)iÉÞhÉvÉÉxªÉÉÆ ªÉÊiÉÊ®úCiÉ JÉÉt{ÉnùÉlÉÇ 189.05 212.20 337.44 340.67

Food items other than cereals

sample estimates are higher than State sampleestimates in terms of quantity & value in both theareas except for the value in rural area.

5.4 The value of consumption of food itemsother than cereals per person for a period of 30 daysfor both the Central and State sample is given in the

Table No. 5.4. It is observed that in both the areas,the State sample estimates are on higher side.

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6.0 The enquiry of household consumerexpenditure was conducted in earlier rounds viz.27th, 32nd, 38th, 42nd to 56th rounds. Amongstthese rounds, 27th, 32nd, 38th, 43rd, 50th and 55thround surveys were quinquennial in nature with alarge sample size and rest of the survey rounds werehaving a thin sample. However, in this chaptercomparisons of estimates generated from 53rd to56th rounds are discussed.

Chapter - SixCOMPARATIVE PICTURE OF SOME IMPORTANT CHARACTERISTICS BASEDON THE STATE SAMPLE RESULTS OF EARLIER ROUNDS AND 56TH ROUND

6.2 Average monthly per capita expenditure (in Rs.)of rural and urban areas are given in Table No. 6.2.It is observed that there is an increasing trend in the

6.1 Table No. 6.1 gives the average number ofpersons per household in rural and urban areas. Theaverage household size in the rural areas goes onincreasing from 53rd to 54th round, it remain samein the 54th & 55th round and again it equals to53rd round. In urban areas average household sizeremains same except for the 54th round.

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.6.1|ÉiÉÒ EÖò]ÖÆõ¤É ´ªÉÏCiÉSÉÒ ºÉ®úɺɮúÒ ºÉÆJªÉÉ

Average number of persons per household

IÉäjÉ/Area ¡äò®úÒ/Round53´ÉÒ/53rd 54 ÉÒ/54th 55 ÉÒ/55th 56 ÉÒ/56th

(1) (2) (3) (4) (5)OÉɨÉÒhÉ/Rural 4.5 4.7 4.7 4.5xÉÉMÉ®úÒ/Urban 4.4 4.6 4.4 4.4

average monthly per capita expenditure in both ruraland urban areas of the State except for rural areasin 53rd round.

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.6.2ºÉ®úɺɮúÒ nù®úb÷Éä<Ç ¨ÉÉʺÉEò JÉSÉÇ (¯û.)

Average monthly per capita expenditure (in Rs.)

IÉäjÉ/Area ¡äò®úÒ/Round53´ÉÒ/53rd 54 ÉÒ/54th 55 ÉÒ/55th 56 ÉÒ/56th

(1) (2) (3) (4) (5)OÉɨÉÒhÉ/Rural 521.96 461.06 488.93 573.44xÉÉMÉ®úÒ/Urban 782.09 830.69 885.38 1042.39

6.3 The monthly per capita quantity and valueof consumption of cereals in rural and urban areasare given in Table No.6.3. It is observed that thequantity of consumption of cereals per person for aperiod of 30 days are found to be varying from 53rd

to 56th round in both the areas; whereas the valueof consumption in both the areas goes on increasingover round to round except for rural areas in 53rdrounds.

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- X -

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.6.3iÉÞhÉvÉÉxªÉÉSªÉÉ nù®úb÷Éä<Ç ¨ÉÉʺÉEò ´ÉÉ{É®úÉSÉä {ÉÊ®ú¨ÉÉhÉ ´É ¨ÉÚ±ªÉ

Monthly per capita quantity and value of consumption of cereals

IÉäjÉ/Area {ÉÊ®ú ÉÉhÉ (ÊEò.OÉì.)/Quantity (in kg.) ¨ÉÚ±ªÉ(¯û.)/Value (in Rs.)53´ÉÒ/53rd 54 ÉÒ/54th 55 ÉÒ/55th 56 ÉÒ/56th 53´ÉÒ/53rd 54 ÉÒ/54th 55 ÉÒ/55th 56 ÉÒ/56th

(1) (2) (3) (4) (5) (6) (7) (8) (9)OÉɨÉÒhÉ/Rural 11.88 11.41 16.70 14.43 84.24 79.61 81.65 82.77xÉÉMÉ®úÒ/Urban 10.55 9.82 11.06 9.52 90.06 92.14 97.91 99.26

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.6.4iÉÉÆnÚù³ý +ÉÊhÉ MÉ´½þÉSªÉÉ nù®úb÷Éä<Ç ¨ÉÉʺÉEò ´ÉÉ{É®úÉSÉä {ÉÊ®ú¨ÉÉhÉ

Monthly per capita quantity of consumption of rice and wheat

¤ÉɤÉ/Item {ÉÊ®ú ÉÉhÉ (ÊEò.OÉì.)/Quantity (in kg.)OÉɨÉÒhÉ/Rural xÉÉMÉ®úÒ/Urban

53´ÉÒ/53rd 54 ÉÒ/54th 55 ÉÒ/55th 56 ÉÒ/56th 53´ÉÒ/53rd 54 ÉÒ/54th 55 ÉÒ/55th 56 ÉÒ/56th(1) (2) (3) (4) (5) (6) (7) (8) (9)

iÉÉÆnÚù³ý/ Rice 3.41 2.98 2.84 2.61 3.39 3.55 3.09 3.20MɽÚþ/Wheat 3.96 3.65 3.63 3.49 5.24 4.87 5.07 4.60

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.6.5JÉÉt ´É JÉÉtäiÉ®ú {ÉnùÉlÉÉÇÆ É®úÒ±É ºÉ®úɺɮúÒ nù®úb÷Éä<Ç ¨ÉÉʺÉEò JÉSÉÇ (¯û.)

Average monthly per capita expenditure (Rs.) on food and non-food items

¤ÉɤÉþ/Item OÉɨÉÒhÉ/Rural xÉÉMÉ®úÒ/Urban53´ÉÒ/53rd 54 ÉÒ/54th 55 ÉÒ/55th 56 ÉÒ/56th 53´ÉÒ/53rd 54 ÉÒ/54th 55 ÉÒ/55th 56 ÉÒ/56th

(1) (2) (3) (4) (5) (6) (7) (8) (9)JÉÉt {ÉnùÉlÉÇ/Food 324.79 293.89 276.02 294.97 403.81 460.16 425.86 439.93

JÉÉtäiÉ® {ÉnùÉlÉÇ 197.17 167.17 212.91 278.47 378.28 370.53 459.52 602.47Non-food

6.4 The monthly per capita quantity ofconsumption of rice and wheat in both the rural &urban areas is given in Table No. 6.4. It is observed

that the average monthly per capita quantity ofconsumption of rice & wheat shows decreasingtrend in rural areas; whereas, varying trend wasobserved in urban areas.

6.5 The average monthly per capita expenditureon food & non-food items is given in Table No.6.5. It is observed that the estimates of averagemonthly per capita expenditure on food goes ondecreasing except for 56th round in rural areas,

whereas in urban areas varying trend was observed.The monthly per capita expenditure on non-fooditems goes on increasing from 53rd to 56th roundexcept for 54th round in both the areas.

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7.0 The employment and unemploymentsituation as obtained through the 56th round surveyis discussed in this chapter alongwith the similarresults as obtained through earlier rounds.

7.1 Percentage of employed persons accordingto ‘usual status’ and ‘current weekly activity status’is given in Table No.7.1. It is observed from the tablethat according to usual status, varying trend isobserved in WPR for rural males from 52nd to 56thround. In case of urban males the WPR has shown

Chapter - SevenEMPLOYMENT AND UNEMPLOYMENT SITUATION

the constant trend of 51 per cent to 52 per cent since1995-96. The female WPR also shows the varyingtrend from 52nd to 56th round in the rural areaswhereas in the urban areas it has increased from 9.6in 52nd round to 12.4 in 56th round. Further, inthe rural areas for females, the current weekly statusestimates of WPRs shows varying trend from 52ndto 56th round; whereas in the urban areas currentweekly status shows an increasing trend from 9.2 to12.4 from 52nd round to 56th round.

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.7.1ÊxÉiªÉ ´É SÉɱÉÚ +É`ö´Éb÷ªÉÉSªÉÉ EòɪÉÇκlÉiÉÒxÉÖºÉÉ®ú ®úÉäVÉMÉÉ®úÒiÉ ´ªÉÏCiÉSÉÒ ]õCEäò´ÉÉ®úÒ

Percentage of employed persons according to usual and current weekly activity status¡äò®úÒ (´É¹ÉÇ) /Round (year) {ÉÖ û¹É/Male ºjÉÒ/Female

ÊxÉiªÉ EòɪÉÇκlÉiÉÒ/Usual status ÊxÉiªÉ EòɪÉÇκlÉiÉÒ/Usual status¨ÉÖJªÉ EòɪÉÇκlÉiÉÒ ºÉ´ÉÇ SÉɱÉÚ ¨ÉÖJªÉ EòɪÉÇκlÉiÉÒ ºÉ´ÉÇ SÉɱÉÚ

+É`ö´Éb÷ªÉÉSÉÒ +É`ö´Éb÷ªÉÉSÉÒPrincipal All Current Principal All Current

status weekly status weeklystatus status

(1) (2) (3) (4) (5) (6) (7)OÉÉ ÉÒhÉ/Rural

56´ÉÒ/th(VÉÖ±Éè ,2000 iÉä VÉÚxÉ ,01)/(July,2000-June,01) 52.5 52.7 54.6 30.6 32.9 30.655´ÉÒ/th(VÉÖ±Éè ,99 iÉä VÉÚxÉ,2000)/(July,99-June,2000) 53.1 53.2 53.0 29.2 32.0 30.354´ÉÒ/th(VÉÉxÉä.iÉä VÉÚxÉ, 98)/(Jan.-June,98) 53.9 54.1 53.9 26.5 27.1 25.853´ÉÒ/rd(VÉÉxÉä.iÉä VÉÚxÉ, 97)/(Jan.-June,97) 54.3 54.5 54.3 26.6 27.3 26.252´ÉÒ/nd(VÉÖ±Éè ,95 iÉä VÉÚxÉ, 96)/(July,95-June,96) 53.9 54.0 53.6 31.1 29.8 29.7

xÉÉMÉ®úÒ/Urban56´ÉÒ/th(VÉÖ±Éè ,2000 iÉä VÉÚxÉ ,01)/(July,2000-June,01) 52.2 52.3 52.12 12.4 12.9 12.455´ÉÒ/th(VÉÖ±Éè ,99 iÉä VÉÚxÉ,2000)/(July,99-June,2000) 51.4 51.5 51.3 10.5 11.1 10.854´ÉÒ/th(VÉÉxÉä.iÉä VÉÚxÉ, 98)/(Jan.-June,98) 51.0 51.0 50.9 12.1 12.4 12.153´ÉÒ/rd(VÉÉxÉä.iÉä VÉÚxÉ, 97)/(Jan.-June,97) 51.3 51.4 51.2 11.7 12.4 11.752´ÉÒ/nd(VÉÖ±Éè ,95 iÉä VÉÚxÉ, 96)/(July,95-June,96) 51.5 51.5 51.3 9.6 9.8 9.255´ÉÒ/th round is quinquennial round of survey

7.2 Persons employed are categorised intothree broad groups according to their status ofemployment. These groups are (i) self-employed (ii)regular employees and (iii) casual labour. Thepercentage distribution of the usually employed bycategory of employment is given in Table No.7.2.

The basic distribution of employed in terms ofstatus of employment shows that half of theemployed in rural areas were in the ‘selfemployed’ category. The percentage of regularemployees was about 11 per cent & 5 per centfor males & females respectively in the rural

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iÉCiÉÉ Gò¨ÉÉÆEò/Table No.7.2®úÉäVÉMÉÉ®úÒiÉ ´ªÉÏCiÉSÉÒ ®úÉäVÉMÉÉ®úÉSªÉÉ ÎºlÉiÉÒxÉÖºÉÉ®ú ]õCEäò´ÉÉ®úÒ

Percentage distribution of the usually employed by status of employment¡äò®úÒ (´É¹ÉÇ) /Round (year) ¨ÉÖJªÉ EòɪÉÇκlÉiÉÒ ºÉ´ÉÇ/All

Principal status (¨ÉÖJªÉ EòɪÉÇκlÉiÉÒ + MÉÉèhÉ EòɪÉÇκlÉiÉÒ)(principal status+subsidiary)

º´ÉªÉÆ®úÉäVÉMÉÉ®úÒiÉ ÊxɪÉʨÉiÉ xÉèʨÉÊkÉEò º´ÉªÉÆ®úÉäVÉMÉÉ®úÒiÉ ÊxɪÉʨÉiÉ xÉèʨÉÊkÉEò´ÉäiÉxÉ{É]õÉ´É®úÒ±É ¨ÉVÉÚ®ú ´ÉäiÉxÉ{É]õÉ´É®úÒ±É ¨ÉVÉÚ®ú

Self Regular Casual Self Regular Casualemployed employee labour employed employee labour

(1) (2) (3) (4) (5) (6) (7)

OÉɨÉÒhÉ {ÉÖ û¹É/Rural Males56´ÉÒ/th(VÉÖ±Éè ,2000 iÉä VÉÚxÉ ,01)/(July,2000-June,01) 46.5 11.4 42.0 46.7 11.4 41.955´ÉÒ/th(VÉÖ±Éè ,99 iÉä VÉÚxÉ,2000)/(July,99-June,2000) 48.3 8.4 43.3 48.6 8.4 43.054´ÉÒ/th(VÉÉxÉä.iÉä VÉÚxÉ, 98)/(Jan.-June,98) 47.9 8.5 43.6 48.1 8.5 43.453´ÉÒ/rd(VÉÉxÉä.iÉä VÉÚxÉ, 97)/(Jan.-June,97) 48.8 10.3 40.9 48.8 10.3 40.952´ÉÒ/nd(VÉÖ±Éè ,95 iÉä VÉÚxÉ, 96)/(July,95-June,96) 55.7 9.1 35.2 55.7 9.1 35.2

OÉÉ ÉÒhÉ ÎºjɪÉÉ/Rural Females56´ÉÒ/th(VÉÖ±Éè ,2000 iÉä VÉÚxÉ ,01)/(July,2000-June,01) 46.4 4.7 48.8 48.1 4.4 47.555´ÉÒ/th(VÉÖ±Éè ,99 iÉä VÉÚxÉ,2000)/(July,99-June,2000) 40.0 1.4 58.6 44.7 1.2 54.154´ÉÒ/th(VÉÉxÉä.iÉä VÉÚxÉ, 98)/(Jan.-June,98) 39.4 1.8 58.7 39.6 1.8 58.353´ÉÒ/rd(VÉÉxÉä.iÉä VÉÚxÉ, 97)/(Jan.-June,97) 39.4 2.2 58.4 39.6 2.2 58.252´ÉÒ/nd(VÉÖ±Éè ,95 iÉä VÉÚxÉ, 96)/(July,95-June,96) 49.8 2.7 47.5 50.2 2.6 47.2

xÉÉMÉ®úÒ {ÉÖ û¹É/Urban Males56´ÉÒ/th(VÉÖ±Éè ,2000 iÉä VÉÚxÉ ,01)/(July,2000-June,01) 29.9 54.0 16.1 30.0 54.0 16.155´ÉÒ/th(VÉÖ±Éè ,99 iÉä VÉÚxÉ,2000)/(July,99-June,2000) 32.0 51.0 17.0 31.4 51.6 17.054´ÉÒ/th(VÉÉxÉä.iÉä VÉÚxÉ, 98)/(Jan.-June,98) 31.2 52.0 16.7 31.2 51.7 16.953´ÉÒ/rd(VÉÉxÉä.iÉä VÉÚxÉ, 97)/(Jan.-June,97) 32.9 46.2 20.9 32.9 46.3 20.852´ÉÒ/nd(VÉÖ±Éè ,95 iÉä VÉÚxÉ, 96)/(July,95-June,96) 34.2 52.3 13.5 34.3 52.3 13.4

xÉÉMÉ®úÒ ÎºjɪÉÉ/Urban Females56´ÉÒ/th(VÉÖ±Éè ,2000 iÉä VÉÚxÉ ,01)/(July,2000-June,01) 26.5 39.0 34.6 28.2 37.7 34.155´ÉÒ/th(VÉÖ±Éè ,99 iÉä VÉÚxÉ,2000)/(July,99-June,2000) 27.6 40.0 32.4 30.0 38.5 31.554´ÉÒ/th(VÉÉxÉä.iÉä VÉÚxÉ, 98)/(Jan.-June,98) 24.8 46.3 28.9 25.0 45.2 29.053´ÉÒ/rd(VÉÉxÉä.iÉä VÉÚxÉ, 97)/(Jan.-June,97) 22.9 30.5 46.6 25.0 29.0 46.052´ÉÒ/nd(VÉÖ±Éè ,95 iÉä VÉÚxÉ, 96)/(July,95-June,96) 19.4 48.4 32.2 20.8 46.0 32.3

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areas. The percentage of self-employed inprincipal status was higher in rural areas forboth the males and females as compared to themales and females in the urban areas for everyround, whereas the percentage of regular wageand salary earners in the principal status werehigher in urban areas for both the males &females in every round as compared to ruralareas.

7.3 Two different estimates are obtained fromthe annual survey data for the ‘unemployed’ viz.(i) number of persons unemployed based on theusual status classification and (ii) number of personsemployed based on current weekly statusclassification. The first estimate relates to person’sunemployment for a relatively longer period duringthe reference period of 365 days, it approximates toan indicator of the chronic unemployment. Two

estimates of the usually unemployed arepresented namely usually unemployed in termsof their principal status (ps) and usuallyunemployed excluding the subsidiary status ofworker (usual adjusted). Some of theunemployed identified on the basis of principalstatus might be working in a subsidiary capacity.Hence, the unemployment rate derived on thebasis of adjusted usual status is expected to belower than that based on principal status. Theother estimates, i.e. the one based on currentweekly status, gives the average weekly pictureof unemployment during the survey year andcovers both chronic unemployment and intermittentunemployment caused by seasonal fluctuation inthe employment of those catergorised as usuallyemployed. Unemployment rates (Number of personsunemployed per thousand persons) in the labourforce are given in Table No.7.3. It is seen from

iÉCiÉÉ Gò¨ÉÉÆEò/Table No.7.3¸É¨É¶ÉCiÉÒiÉÒ±É ¤Éä®úúÉäVÉMÉÉ®úÒiÉ ´ªÉÏCiÉSÉä (¤Éä®úúÉäVÉMÉÉ®úÒiÉ ´ªÉÏCiÉSÉÒ nù® ½þVÉÉ®úÒ ºÉÆJªÉÉ) nù®ú

Unemployment rates(Number of persons unemployed per 1000 persons)in the labour force¡äò®úÒ (´É¹ÉÇ)/Round(year) {ÉÖ û¹É/Male ºjÉÒ/Female

ÊxÉiªÉ ÊxÉiªÉ ºÉ¨ÉɪÉÉäÊVÉiÉ SÉɱÉÖ +É`ö´Éb÷ªÉÉSÉÒ ÊxÉiªÉ ÊxÉiªÉ ºÉ¨ÉɪÉÉäÊVÉiÉ SÉɱÉÖ +É`ö´Éb÷ªÉÉSÉÒEòɪÉÇκlÉiÉÒ EòɪÉÇκlÉiÉÒ EòɪÉÇκlÉiÉÒ EòɪÉÇκlÉiÉÒ EòɪÉÇκlÉiÉÒ EòɪÉÇκlÉiÉÒUsual Usual Current weekly Usual Usual Current weeklystatus adjusted status status adjusted status

(1) (2) (3) (4) (5) (6) (7)OÉɨÉÒhÉ/Rural

56´ÉÒ/th(VÉÖ±Éè ,2000 iÉä VÉÚxÉ ,01)/(July,2000-June,01) 30 27 27 7 7 655´ÉÒ/th(VÉÖ±Éè ,99 iÉä VÉÚxÉ,2000)/(July,99-June,2000) 14 12 18 6 6 754´ÉÒ/th(VÉÉxÉä.iÉä VÉÚxÉ, 98)/(Jan.-June,98) 29 27 29 7 7 853´ÉÒ/rd(VÉÉxÉä.iÉä VÉÚxÉ, 97)/(Jan.-June,97) 15 14 15 0 0 052´ÉÒ/nd(VÉÖ±Éè ,95 iÉä VÉÚxÉ, 96)/(July,95-June,96) 13 13 13 0 0 0

xÉÉMÉ®úÒ/Urban56´ÉÒ/th(VÉÖ±Éè ,2000 iÉä VÉÚxÉ ,01)/(July,2000-June,01) 44 44 45 53 51 51

55´ÉÒ/th(VÉÖ±Éè ,99 iÉä VÉÚxÉ,2000)/(July,99-June,2000) 44 43 45 70 59 69

54´ÉÒ/th(VÉÉxÉä.iÉä VÉÚxÉ, 98)/(Jan.-June,98) 61 61 59 24 24 32

53´ÉÒ/rd(VÉÉxÉä.iÉä VÉÚxÉ, 97)/(Jan.-June,97) 30 30 30 33 31 25

52´ÉÒ/nd(VÉÖ±Éè ,95 iÉä VÉÚxÉ, 96)/(July,95-June,96) 34 34 34 51 50 52

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iÉCiÉÉ Gò¨ÉÉÆEò/Table No.7.4SÉɱÉÚ +É`ö´Éb÷ªÉÉSªÉÉ EòɪÉÇκlÉiÉÒxÉÚºÉÉ®ú ÊxÉiªÉ ®úÉäVÉMÉÉ®úÒiÉ (¨ÉÖJªÉ+MÉÉèhÉ EòɪÉÇκlÉiÉÒ) ªÉÏCiÉSÉÒ ]õCEäò´ÉÉ®úÒ

Percentage distribution of the usually employed (principal status +subsidiary status) by their broad current weekly status

¡äò®úÒ (´É¹ÉÇ) /Round (year) SÉɱÉÚ +É ö Éb÷ªÉÉSÉÒ ÎºlÉiÉÒ/Current weekly activity ÊxÉiªÉ ®úÉäVÉMÉÉ®úÒiÉ (¨ÉÖJªÉ+MÉÉèhÉ ÎºlÉiÉÒÇ)/Usually employed (PS+SS)

{ÉÖ û¹É/Males ʺjɪÉÉ/Females®úÉäVÉMÉÉ®úÒiÉ ¤Éä®úÉäVÉMÉÉ®úÒiÉ ¸É¨É¶ÉCiÉÒiÉ xɺɱÉä±Éä ®úÉäVÉMÉÉ®úÒiÉ ¤Éä®úÉäVÉMÉÉ®úÒiÉ ¸É¨É¶ÉCiÉÒiÉ xɺɱÉä±Éä

Employed Unemployed Not in Employed Unemployed Notinlabour force labour force

(1) (2) (3) (4) (5) (6) (7)OÉÉ ÉÒhÉ/Rural

56´ÉÒ/th(VÉÖ±Éè ,2000 iÉä VÉÚxÉ ,01)/(July,2000-June,01) 99.9 0.0 0.1 91.7 0.1 8.255´ÉÒ/th(VÉÖ±Éè ,99 iÉä VÉÚxÉ,2000)/(July,99-June,2000) 99.4 5.2 0.1 93.5 10.7 0.554´ÉÒ/th(VÉÉxÉä.iÉä VÉÚxÉ, 98)/(Jan.-June,98) 99.4 0.3 0.3 94.4 0.1 5.453´ÉÒ/rd(VÉÉxÉä.iÉä VÉÚxÉ, 97)/(Jan.-June,97) 99.6 0.0 0.4 95.6 0.1 4.452´ÉÒ/nd(VÉÖ±Éè ,95 iÉä VÉÚxÉ, 96)/(July,95-June,96) 98.7 0.0 1.3 94.5 0.0 5.5

xÉÉMÉ®úÒ/Urban56´ÉÒ/th(VÉÖ±Éè ,2000 iÉä VÉÚxÉ ,01)/(July,2000-June,01) 99.6 0.1 0.3 96.3 0.0 3.755´ÉÒ/th(VÉÖ±Éè ,99 iÉä VÉÚxÉ,2000)/(July,99-June,2000) 99.6 0.7 0.1 97.5 0.0 0.154´ÉÒ/th(VÉÉxÉä.iÉä VÉÚxÉ, 98)/(Jan.-June,98) 99.7 0.0 0.4 97.5 0.0 2.453´ÉÒ/rd(VÉÉxÉä.iÉä VÉÚxÉ, 97)/(Jan.-June,97) 99.6 0.0 0.4 93.9 0.0 6.152´ÉÒ/nd(VÉÖ±Éè ,95 iÉä VÉÚxÉ, 96)/(July,95-June,96) 99.5 0.0 0.5 94.7 0.0 5.3

the table that the unemployment rates werehigher in the urban areas than in the ruralareas. Unemployment rates for both the malesand females were same for both the 55th and56th rounds.

7.4 Percentage distribution of the usuallyunemployed (ps+ss) by their broad current

weekly status is given in table No. 7.4. It is seenthat percentage of usually employed malesaccording to current weekly status was same i.e.almost 100 per cent in both rural & urban areaswhen compared to earlier 55th round. As far asfemales are concerned these percentages ofemployed females are 92 & 96 in rural & urbanarea respectively.

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Appendix - 1LIST OF DETAILED TABLES

Table Description Page No.No. Rural Urban

1 Distribution of households and persons by MPCE class 22 22

2 Quantity (kg 0.00) of consumption of cereals, gram 23 23and cereal substitutes per person For a period of 30days for each MPCE class

3 Value (Rs. 0.00 ) of consumption of cereals, gram 24 24and cereal substitutes per person for a period of 30days for each MPCE class

4 Break-up of total monthly per capita expenditure 25 26(MPCE) over broad groups of items for households indifferent MPCE classes

5 Number of persons by current weekly activity status 27 30for each age-group per 1000 persons

6 Number of persons by Principal usual activity category 33 36for each age-group per 1000 persons

7 Number of households by type of dwelling unit and 39 42type of structure per 1000 households

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22

Tab

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574

112

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5512

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9267

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297

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2028

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107

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6363

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7013

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693

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4773

1091

8204

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5 -6

1511

710

714

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4863

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440

9199

656

570

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-775

127

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3962

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6320

6013

7414

4466

4211

1783

5192

350

-425

3953

1602

1719

1491

1160

5972

931

1748

423

442

5 -5

0049

6515

9617

8710

8812

7157

4211

3921

398

320

500

-575

6584

2008

1819

875

907

5609

946

2745

838

657

5 -6

6572

8517

6517

0187

276

751

0593

627

886

488

665

-775

102

120

1908

1783

679

760

5129

983

3942

258

777

5 -9

1510

912

117

4415

6092

462

648

5381

939

767

652

915

-112

013

412

717

1613

9057

246

641

4581

141

725

878

1120

-150

018

915

215

1112

5635

538

435

0587

949

934

1148

1500

-192

597

7215

0511

2837

525

032

5973

323

776

645

1925

>=

119

8313

8912

0428

916

830

5081

827

426

621

All

clas

ses

1000

1000

1651

1474

652

582

4359

893

3286

1961

14E

std.

No.

(00)

7538

832

8619

1244

8011

1099

4914

043

901

3286

19X

XX

Sam

ple

No.

6114

2635

810

195

8717

4023

3423

2635

8X

XX

Page 27: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

23

Tab

le N

o.2:

Qua

ntit

y (k

g 0.

00) o

f con

sum

ptio

n of

cer

eals

, gra

m a

nd c

erea

l sub

stit

utes

per

per

son

For

a p

erio

d of

30

days

for

each

MP

CE

cla

ssR

UR

AL

Item

MP

CE

clas

ses (

Rs.

)N

o.re

port

ing

cons

umpt

ion

0-22

5-25

5-30

0-34

0-38

0-42

0-47

0-52

5-61

5-77

5-95

0+A

llH

HS.

per

Est

d N

o.Sa

mpl

e22

525

530

034

038

042

047

052

561

577

595

0cl

asse

s10

00of

per

sons

HH

S.1

23

45

67

89

1011

1213

1415

1617

Ric

e1.

463.

481.

282.

212.

662.

522.

602.

022.

822.

892.

473.

892.

6195

951

1228

1074

Whe

at0.

091.

812.

222.

042.

713.

203.

543.

363.

794.

094.

874.

983.

4992

248

7751

1031

Jow

ar0.

082.

434.

333.

513.

363.

422.

863.

532.

753.

193.

512.

683.

1364

434

2465

658

Bajra

0.00

0.22

1.54

1.72

1.21

0.65

1.23

0.78

0.90

0.32

0.45

0.10

0.78

170

9909

121

2M

aize

6.40

0.00

0.00

0.13

0.00

0.22

0.00

0.34

0.36

0.03

0.00

0.00

0.28

2823

558

15B

arle

y0.

190.

210.

000.

000.

020.

000.

000.

000.

000.

000.

000.

000.

011

913

4Sm

all M

illet

s0.

000.

000.

000.

000.

000.

000.

000.

000.

000.

000.

000.

000.

000

00

Rag

i0.

000.

130.

120.

080.

010.

020.

010.

020.

040.

010.

040.

010.

0310

5121

17T

otal

Cer

eals

8.22

8.29

9.49

9.69

9.97

10.0

310

.23

10.0

610

.67

10.5

511

.33

11.6

710

.32

991

5279

9110

95G

ram

0.12

0.07

0.10

0.10

0.10

0.13

0.11

0.11

0.13

0.18

0.19

0.13

0.13

677

3682

3176

7C

erea

l Sub

stitu

tes

0.00

0.00

0.07

0.03

0.06

0.11

0.10

0.09

0.10

0.15

0.20

0.18

0.11

555

2979

6758

2E

stim

ated

No.

of p

erso

ns(0

0)12

258

9796

1504

025

173

4751

763

635

7229

782

045

5657

059

641

3573

149

391

5290

96X

XX

No.

of sa

mpl

e H

HS.

711

3567

8511

612

814

515

515

684

123

1112

XX

X

UR

BA

NIt

emM

PC

E cl

asse

s (R

s.)

No.

repo

rtin

g co

nsum

ptio

n0-

300-

350-

425-

500-

575-

665-

775-

915-

1120

-15

00-

1925

+A

llH

HS.

per

Est

d.no

.Sa

mpl

e30

035

042

550

057

566

577

591

511

2015

0019

25cl

asse

s10

00of

per

sons

HH

S.1

23

45

67

89

1011

1213

1415

1617

Ric

e2.

321.

772.

132.

353.

103.

443.

523.

613.

523.

393.

143.

083.

2092

032

1125

5460

Whe

at3.

093.

543.

654.

054.

464.

434.

565.

105.

054.

864.

195.

014.

6091

932

0423

5422

Jow

ar2.

242.

732.

341.

801.

570.

990.

820.

700.

530.

661.

080.

331.

0131

011

6469

1788

Bajra

0.88

0.63

0.60

0.37

0.21

0.32

0.14

0.11

0.07

0.07

0.07

0.06

0.19

7929

617

464

Mai

ze0.

060.

010.

000.

000.

010.

000.

000.

000.

000.

000.

000.

000.

001

565

15B

arle

y0.

000.

000.

000.

000.

000.

000.

010.

000.

000.

000.

000.

000.

002

440

6Sm

all M

illet

s0.

000.

000.

000.

000.

000.

000.

000.

000.

000.

000.

000.

000.

002

646

4R

agi

0.00

0.00

0.00

0.02

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

384

39

Tot

al C

erea

ls8.

598.

688.

728.

589.

359.

189.

069.

529.

178.

998.

498.

489.

0092

832

3008

5487

Gra

m0.

060.

060.

090.

090.

090.

100.

120.

100.

130.

130.

170.

140.

1259

921

2729

3653

Cer

eal S

ubst

itute

s:0.

030.

050.

290.

080.

090.

080.

110.

110.

120.

110.

120.

110.

1146

016

3031

2627

Est

imat

ed N

o.of

Per

sons

(00)

3992

8351

1748

421

398

2745

827

886

3942

239

767

4172

549

934

2377

627

426

3286

19X

XX

No.

of S

ampl

e H

HS

6392

234

320

386

488

587

652

878

1148

645

621

6114

XX

X

Page 28: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

24

Tab

le N

o.3:

Val

ue (R

s. 0

.00

) of c

onsu

mpt

ion

of c

erea

ls, g

ram

and

cer

eal s

ubst

itut

es p

er p

erso

n fo

r a

peri

od o

f 30

days

for

each

MP

CE

cla

ssR

UR

AL

Item

MP

CE

clas

ses (

Rs.

)N

o.re

port

ing

cons

umpt

ion

0-22

5-25

5-30

0-34

0-38

0-42

0-47

0-52

5-61

5-77

5-95

0+A

llH

HS.

per

Est

d N

o.Sa

mpl

e22

525

530

034

038

042

047

052

561

577

595

0cl

asse

s10

00of

per

sons

HH

S.1

23

45

67

89

1011

1213

1415

1617

Ric

e13

.13

34.5

811

.06

21.9

525

.07

24.6

027

.85

21.5

431

.68

33.4

231

.27

49.3

428

.53

959

5112

2810

74W

heat

0.38

12.0

815

.56

14.6

620

.50

23.3

926

.68

24.6

030

.65

36.6

940

.58

46.5

027

.98

922

4877

5110

31Jo

war

0.28

11.6

320

.75

20.0

520

.14

23.5

915

.72

21.4

816

.93

22.6

424

.38

19.6

719

.74

644

3424

6565

8Ba

jra0.

001.

129.

6110

.25

7.04

3.83

7.06

4.68

5.93

1.77

3.17

0.54

4.66

170

9909

121

2M

aize

38.4

20.

000.

000.

580.

001.

330.

002.

042.

120.

160.

000.

011.

6428

2355

815

Bar

ley

1.12

0.95

0.00

0.00

0.10

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.05

191

34

Smal

l Mill

ets

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

00

0R

agi

0.00

0.80

0.59

0.47

0.11

0.14

0.06

0.12

0.23

0.08

0.24

0.10

0.17

1051

2117

Tot

al C

erea

ls53

.33

61.1

657

.57

67.9

772

.96

76.8

877

.37

74.4

687

.54

94.7

799

.63

116.

1682

.77

991

5279

9110

95G

ram

3.42

1.45

2.35

2.29

2.16

2.64

2.63

2.28

2.81

4.03

4.41

2.98

2.84

677

3682

3176

7C

erea

l Sub

stitu

tes:

0.00

0.01

1.72

0.81

1.14

1.92

2.31

1.93

2.13

3.23

4.92

4.17

2.35

555

2979

6758

2E

stim

ated

No.

of P

erso

ns(0

0)12

258

9796

1504

025

173

4751

763

635

7229

782

045

5657

059

641

3573

149

391

5290

96X

XX

No.

of S

ampl

e H

HS.

711

3567

8511

612

814

515

515

684

123

1112

XX

XU

RB

AN

Item

MP

CE

clas

ses (

Rs.

)N

o.re

port

ing

cons

umpt

ion

0-30

0-35

0-42

5-50

0-57

5-66

5-77

5-91

5-11

20-

1500

-19

25+

All

HH

S.pe

rE

std.

no.

Sam

ple

300

350

425

500

575

665

775

915

1120

1500

1925

clas

ses

1000

of p

erso

nsH

HS.

12

34

56

78

910

1112

1314

1516

17R

ice

20.3

817

.67

23.3

326

.41

36.3

742

.07

44.9

247

.76

48.6

549

.02

48.7

351

.79

42.9

192

032

1125

5460

Whe

at23

.72

22.9

930

.21

35.8

638

.43

40.8

445

.26

52.0

853

.66

53.8

949

.11

61.9

346

.95

919

3204

2354

22Jo

war

14.8

618

.23

14.3

113

.81

13.7

97.

776.

985.

634.

665.

629.

023.

308.

0131

011

6469

1788

Bajra

5.55

5.59

3.87

2.14

1.39

2.11

1.02

0.75

0.52

0.66

0.73

0.53

1.32

7929

617

464

Mai

ze0.

360.

060.

000.

010.

040.

000.

030.

000.

050.

000.

000.

060.

021

565

15B

arle

y0.

000.

000.

000.

000.

000.

000.

090.

010.

000.

020.

000.

000.

012

440

6Sm

all M

illet

s0.

000.

000.

000.

000.

030.

000.

000.

060.

040.

000.

000.

000.

012

646

4R

agi

0.00

0.00

0.00

0.11

0.00

0.00

0.00

0.00

0.00

0.03

0.04

0.06

0.02

384

39

Tot

al C

erea

ls64

.87

64.5

571

.71

78.3

690

.05

92.7

998

.31

106.

2810

7.57

109.

2310

7.64

117.

6699

.26

928

3230

0854

87G

ram

1.37

1.45

2.30

2.07

2.10

2.20

2.68

2.37

3.15

3.17

4.03

3.60

2.75

599

2127

2936

53C

erea

l Sub

stitu

tes

0.60

0.89

0.91

1.76

1.96

1.69

2.17

2.11

2.57

2.49

2.63

2.45

2.12

460

1630

3126

27E

stim

ated

No.

of P

erso

ns(0

0)39

9283

5117

484

2139

827

458

2788

639

422

3976

741

725

4993

423

776

2742

632

8619

XX

XN

o.of

Sam

ple

HH

S.63

9223

432

038

648

858

765

287

811

4864

562

161

14X

XX

Page 29: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

25

Tab

le N

o.4:

Bre

ak-u

p of

tota

l mon

thly

per

cap

ita

expe

ndit

ure

(MP

CE

) ove

r br

oad

grou

ps o

f ite

ms

for

hous

ehol

ds in

dif

fere

nt M

PC

E c

lass

es

RU

RA

L

Item

of c

onsu

mpt

ion

MP

CE

cla

sses

(Rs.

)N

o.re

port

ing

cons

umpt

ion

0-22

5-25

5-30

0-34

0-38

0-42

0-47

0-52

5-61

5-77

5-95

0+A

llH

HS.

per

Est

d. n

o.Sa

mpl

e22

525

530

034

038

042

047

052

561

577

595

0cl

asse

s10

00of

per

son

sH

HS.

12

34

56

78

910

1112

1314

1516

17C

erea

ls53

.33

61.1

657

.57

67.9

772

.96

76.8

877

.37

74.4

687

.54

94.7

799

.63

116.

1682

.77

991

5279

9110

95G

ram

3.42

1.45

2.35

2.29

2.16

2.64

2.63

2.28

2.81

4.03

4.41

2.98

2.84

677

3682

3176

7C

erea

lSub

stitu

tes

0.00

0.01

1.72

0.81

1.14

1.92

2.31

1.93

2.13

3.23

4.92

4.17

2.35

555

2979

6758

2P

ulse

s & th

eir p

rodu

cts

7.42

10.6

311

.34

15.3

415

.52

15.5

017

.79

20.6

720

.06

21.0

123

.23

32.5

419

.44

991

5279

9110

95M

ilk &

Milk

pro

duct

s10

.03

5.20

13.2

817

.15

15.7

428

.21

26.3

636

.48

44.8

750

.68

63.8

879

.13

37.8

092

049

1912

982

Edi

ble

oil

11.0

09.

9614

.83

15.8

017

.44

20.8

322

.78

25.9

928

.78

32.6

538

.58

50.5

426

.91

991

5279

9110

95M

eat,

fish

& e

ggs

6.15

7.96

10.7

99.

9010

.81

12.7

316

.84

13.1

318

.49

31.0

128

.00

43.3

619

.32

669

3654

6181

0V

eget

able

s10

.01

11.9

916

.60

17.4

923

.86

25.0

225

.18

27.2

530

.89

36.7

141

.88

54.4

429

.93

991

5279

6710

94Fr

uits

(fres

h)3.

315.

073.

485.

594.

336.

506.

466.

268.

2111

.46

18.0

224

.14

9.20

863

4721

6098

2F

ruit

s (dr

y)3.

521.

453.

804.

764.

866.

867.

348.

7811

.13

10.4

414

.46

17.1

79.

0191

449

2381

970

Suga

r5.

899.

509.

4712

.29

11.7

713

.37

15.7

916

.42

16.8

716

.79

20.5

730

.19

16.4

499

152

8073

1097

Salt

0.72

0.71

0.83

1.08

0.92

0.98

1.13

2.06

1.37

1.46

1.63

1.61

1.35

973

5189

1610

74Sp

ices

5.35

7.31

8.34

8.89

9.48

10.8

010

.54

13.4

211

.81

15.0

719

.78

23.6

913

.10

990

5273

8410

94B

ever

ages

, ref

resh

men

ts9.

097.

289.

0410

.09

12.3

516

.12

16.2

518

.34

20.8

130

.54

32.9

779

.74

24.5

399

852

8819

1109

& p

roce

ssed

food

Foo

d to

tal

129.

2313

9.68

163.

4318

9.43

203.

3423

8.36

248.

7626

7.47

305.

7735

9.85

411.

9555

9.85

294.

9799

852

8888

1110

Pan

0.02

0.51

1.76

2.91

2.33

3.71

5.75

4.67

3.28

4.20

3.65

4.49

3.85

465

2564

1853

7T

obac

co4.

402.

932.

363.

794.

984.

145.

227.

287.

239.

927.

5716

.02

7.09

715

3963

5773

0In

toxi

cant

s5.

341.

462.

372.

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Fue

l & li

ght

8.79

31.6

825

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32.5

137

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744

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53.1

854

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69.9

088

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4156

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996

5286

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loth

ing

24.7

226

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332

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232

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37.6

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er g

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c.co

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ces

10.7

811

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al (i

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onal

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000.

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itut

iona

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115

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316

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1.27

0.59

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1.79

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4.47

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d T

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al co

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hing

(sec

ond

hand

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ds (s

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d ha

nd)

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00

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d.N

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XE

std.

No.

of P

erso

ns(0

0)12

258

9796

1504

025

173

4751

763

635

7229

782

045

5657

059

641

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249

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XX

No.

of S

ampl

e pe

rson

s 4

270

216

364

462

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620

642

632

633

340

401

5004

XX

X

Page 30: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

26

Tab

le N

o.4:

Bre

ak-u

p of

tota

l mon

thly

per

cap

ita

expe

ndit

ure

(MP

CE

) ove

r br

oad

grou

ps o

f ite

ms

for

hous

ehol

ds in

dif

fere

nt M

PC

E c

lass

es

UR

BA

N

Item

of c

onsu

mpt

ion

MP

CE

cla

sses

(Rs.

)N

o.re

port

ing

cons

umpt

ion

0-30

0-35

0-42

5-50

0-57

5-66

5-77

5-91

5-11

20-

1500

-19

25+

All

HH

S.pe

rEst

d. n

o.Sa

mpl

e30

035

042

550

057

566

577

591

511

2015

0019

25cl

asse

s10

00of

per

son

sH

HS.

12

34

56

78

910

1112

1314

1516

17C

erea

ls64

.87

64.5

571

.71

78.3

690

.04

92.7

998

.31

106.

2810

7.56

109.

2310

7.64

117.

6699

.26

928

3230

1054

87G

ram

1.37

1.45

2.30

2.07

2.10

2.20

2.68

2.37

3.15

3.17

4.03

3.60

2.75

599

2127

3036

53C

erea

l Sub

stit

utes

0.60

0.89

0.91

1.76

1.96

1.69

2.17

2.11

2.57

2.49

2.63

2.45

2.12

460

1630

3226

27P

ulse

s & th

eir P

rodu

cts

10.5

612

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15.5

417

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18.4

720

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21.8

424

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25.3

228

.05

26.1

331

.73

23.2

592

532

2640

5472

Milk

& m

ilk P

rodu

cts

10.9

620

.55

24.8

629

.87

36.1

643

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56.0

766

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76.7

698

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128.

8918

6.37

75.0

091

431

8929

5398

Edi

ble

oil

14.4

116

.86

21.2

422

.03

22.9

629

.27

31.4

833

.98

37.2

542

.65

43.0

350

.27

33.9

892

632

2742

5477

Mea

t, F

ish

& E

ggs

8.92

12.2

118

.55

18.1

323

.32

26.3

730

.38

35.0

330

.63

38.5

836

.23

40.7

030

.42

665

2356

3237

20V

eget

able

s15

.10

19.6

923

.19

28.8

630

.73

33.4

337

.11

41.1

748

.61

54.1

562

.04

71.0

343

.45

926

3228

6254

79F

ruit

s (fr

esh)

3.31

2.36

5.18

6.47

9.42

10.7

715

.19

16.0

523

.52

30.0

834

.24

61.3

721

.42

914

3115

8654

89F

ruit

s (dr

y)2.

914.

314.

617.

077.

067.

298.

409.

1810

.11

12.2

814

.22

25.4

810

.48

831

2933

1848

33Su

gar

9.22

10.1

912

.44

13.4

013

.34

14.9

015

.04

15.8

317

.24

19.2

918

.65

19.7

316

.12

924

3224

1854

59Sa

lt0.

870.

900.

991.

061.

211.

401.

271.

311.

531.

681.

671.

771.

4092

232

1445

5449

Spic

es6.

547.

528.

9510

.39

10.2

410

.91

12.0

212

.11

14.3

215

.72

18.4

216

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492

532

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erag

es, R

efre

shm

ents

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158.

6214

.53

19.7

223

.09

29.3

139

.01

43.6

457

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4613

5.93

214.

3767

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998

3283

4361

01P

roce

ssed

Foo

dF

ood

Tot

al15

7.78

182.

8222

5.00

256.

4229

0.12

323.

9237

0.99

409.

5745

6.37

557.

6263

3.75

843.

1743

9.93

1000

3286

1461

10Pa

n0.

812.

501.

772.

592.

123.

584.

504.

514.

775.

907.

912.

624.

1930

611

0848

1865

Tob

acco

3.86

4.61

5.19

5.75

6.98

6.34

4.68

5.38

5.35

7.28

9.67

15.7

36.

9536

413

4631

2181

Into

xica

nts

1.74

4.76

2.30

4.44

3.05

3.78

2.52

4.81

4.90

4.75

5.59

9.52

4.56

115

4146

362

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uel &

Lig

ht23

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31.0

638

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50.7

757

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075

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82.7

610

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115.

3813

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185.

1991

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993

3280

6060

75C

loth

ing

22.1

928

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28.9

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39.8

844

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50.6

356

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67.2

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214

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134.

055.

245.

947.

698.

7510

.30

12.3

515

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19.8

627

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532

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c.C

onsu

mer

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ds17

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725

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535

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914

0.71

163.

5072

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1000

3286

1661

11M

isc.

Con

sum

er S

ervi

ces

14.4

818

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24.1

828

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axes

& C

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736.

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13.5

546

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26.1

034

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duca

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4.11

4.99

6.91

9.26

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14.7

920

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35.5

441

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59.9

088

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219.

3249

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al (I

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onal

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211.

823.

663.

6612

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11.1

510

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16.7

625

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al (N

on-I

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6713

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15.4

415

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294.

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727.

1410

45.5

520

88.0

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1000

3286

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Con

sum

er E

xpen

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3.19

326.

4239

0.55

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4.39

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6372

1.49

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4610

45.6

412

84.7

716

79.3

029

31.1

910

42.3

910

0032

8621

6114

Clo

thin

g (S

econ

d H

and)

0.93

0.14

0.24

0.43

0.62

0.10

0.25

0.15

0.14

0.30

0.20

0.05

0.25

5521

843

212

Du

rabl

e G

oods

(Sec

ond

Han

d)0.

000.

130.

000.

000.

000.

070.

030.

050.

070.

530.

910.

300.

203

1057

17Im

pute

d R

ent

25.4

451

.12

52.5

768

.62

66.4

586

.19

107.

6512

6.35

161.

0718

6.43

206.

8058

1.19

162.

1962

522

5534

3686

Est

d.N

o.of

HH

S. (

00)

637

1257

2928

3726

4895

5462

7685

8194

1006

714

247

7296

8993

7538

8X

XX

Est

d.N

o.of

Per

sons

(00)

3992

8351

1748

421

398

2745

827

886

3942

239

767

4172

549

934

2377

727

426

3286

21X

XX

No.

of s

ampl

e P

erso

ns45

060

714

6218

2520

7525

6829

8130

5636

6639

8718

7418

0726

358

XX

X

Page 31: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

27

Tab

le N

o.5:

Num

ber

of p

erso

ns b

y cu

rren

t wee

kly

acti

vity

sta

tus

for

each

age

-gro

up p

er 1

000

pers

ons

MA

LE

RU

RA

L

Cur

rent

Age

- g

roup

in y

ears

Pers

ons

wee

kly

Indu

stry

0-4

5-9

10-1

415

-19

20-2

425

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30-3

435

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40-4

445

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50-5

455

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60 &

15 &

Tota

lE

std.

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ple

activ

ity S

tatu

sab

ove

abov

e(0

0)1

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45

67

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1617

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11,1

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01-0

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05

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940

329

334

935

934

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568

437

131

620

155

559

522

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50-9

30

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-93

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332

461

365

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(11-

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& 8

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00

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TR

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xE

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(00)

3139

129

124

4008

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1844

723

766

2175

216

283

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911

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2826

06x

x

Page 32: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

28

Tab

le N

o.5:

Num

ber

of p

erso

ns b

y cu

rren

t wee

kly

acti

vity

sta

tus

for

each

age

-gro

up p

er 1

000

pers

ons

FE

MA

LE

RU

RA

L

Cur

rent

Age

- g

roup

in y

ears

Pers

ons

wee

kly

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stry

0-4

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10-1

415

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425

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30-3

435

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40-4

445

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50-5

455

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60 &

15 &

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lE

std.

Sam

ple

activ

ity S

tatu

sab

ove

abov

e(0

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Page 33: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

29

Tab

le N

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Num

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Page 34: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

30

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le N

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Page 35: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

31

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Page 36: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

32

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Page 37: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

33

Tab

le N

o.6:

Num

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rinc

ipal

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Page 38: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

34

Tab

le N

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Num

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Page 39: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

35

Tab

le N

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Num

ber

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Page 40: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

36

Tab

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Page 41: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

37

Tab

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Page 42: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

38

Tab

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Num

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Page 43: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

39

Tab

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Page 44: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

40

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Page 45: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

41

Tab

le N

o.7:

Num

ber

of p

erso

ns b

y us

ual a

ctiv

ity

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gory

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lso

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side

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Page 46: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

42

Tab

le N

o.7:

Num

ber

of p

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ns b

y us

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ctiv

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Page 47: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

43

Tab

le N

o.7:

Num

ber

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Page 48: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

44

Tab

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Page 49: GOVERNMENT OF MAHARASHTRAGovernment of Maharashtra participates in these rounds on a matching sample basis independently. 1.2 The present report based on State sample gives the results

45

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1. |ɺiÉÉ´ÉxÉÉ :- ¦ÉÉ®úiÉ ºÉ®úEòÉ®SÉÒú ®úɹ]ÅõÒªÉ xɨÉÖxÉÉ {ÉɽþhÉÒ (®úÉ.xÉ.{ÉÉ.)ºÉÆPÉ]õxÉÉ ÊxɪÉʨÉiÉ{ÉhÉä ®úɹ]Åõ´ªÉÉ{ÉÒ ºÉɨÉÉÊVÉEò ´É +ÉÊlÉÇEò {ÉɽþhªÉÉ PÉäiÉ+ºÉiÉä. iªÉÉiÉ ¨É½þÉ®úɹ]Åõ ¶ÉɺÉxÉÉSÉÉ +xÉÖ û{É xɨÉÖxÉÉ iÉi´ÉÉ´É®ú ºÉ½þ¦ÉÉMÉ+ɽäþ. ®úÉ.xÉ.{ÉÉ ºÉÆPÉ]õxÉäSªÉÉ ÊxɪÉɨÉEò {ÉÊ®ú¹ÉnäùxÉä ´Éä³ýÉä Éä³ýÒ PÉäiɱÉ䱪ÉÉ

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1st & 2nd printout given to maske on 1567