Study no. 135 Publication No. 183

Impact of NREGA on Wage Rates, Food Security and Rural Urban Migration in U.P.

Prof. Ramendu Roy Shri Ramji Pandey

2012

Agro-Economic Research Centre University of Allahabad-211002 PREFACE

NREGA is the largest ever public employment programme visualized in human history. This is really a flagship programme launched by the Ministry of Rural Development, Government of which touches the levels of rural poor directly. It assists during the time when there is a severe distress in rural livelihood. This Act aims at enhancing livelihood security of households in rural areas of the country by providing at least 100 days of guaranteed wage employment in a financial year to every household wherein adult members volunteer to do unskilled manual work at a statutory minimum wage rate. This Act provides a legally enforceable right that facilitates the rural households to get employment in public works within 15 days of applying for the work. This Act is supposed to fulfill the short term need of casual employment while creating sustainable livelihoods in long terms. Alongwith augmenting wage employment, this Act would strengthen the natural resource management through works that address causes of chronic poverty, recurrent drought and so encourage sustainable development. NREGA has already recorded payment of unemployment allowance to large members of workers in chronically poorly administered areas.

This study entitled “Impact of NREGA on wage Rates, food Security and Rural Urban Migration in ” is a modest attempt to assess the impact of NREGA on wage rates, food security and rural urban migration in the selected districts of Uttar Pradesh. The main objectives were to measure the extent of manpower employment generated under NREGA, to compare wage differentials between NREGA activities and other wage employment activities, to study effect of NREGA on pattern of migration from rural to urban areas, to find out nature of assets created under NREGA and their durability and to identify the factors determining the participation of people under NREGA scheme.

This study reveals that NREGA is the lifeline of the villagers. Almost all the sample households intended that this programme should continue. Wage rates in rural areas have increased considerably after the implementation of NREGA. Food securities among rural poor have gained certainty. This programme had indeed checked the migration of rural

- 2 - poor from rural areas to urban and suburban areas. Some policy implementations have been made. This study is about the implementation of NREGA in the districts of Uttar Pradesh.

This study had been undertaken by Sri Ramji Pandey Sr. Research Associate of this centre who supervised the investigation, prepared the analytical frame and write-up tables and drafted the report. Field investigation, scripting of schedules, tabulation and compilation of data were done by Sri R.S. Maurya and others. The data entry and manuscript is typed by Smt. Nirupama Nigam, P.A. to Director. I express my deep sense of gratitude to all concerned without whom this study would have not been possible. Any suggestion for improvement in the report will be acknowledged thankfully.

I wish to place on record my gratitude to Sri Anurag Yadav, Commissioner , Shri. V.K. Bhagwat, Assist. Commissioner and other officials, NREGA, Uttar Pradesh . I am also obliged to DRDA of , Etah, , Barabanki and Allahabad districts for their valuable co-operation in the collection of primary and secondary data and relevant information for the study. I am also thankful to Dr. R. Singh and Shri D.K. Singh, Ex. Sr. Research Officer of the AER Centre, Allahabad University for providing research knowledge in drafting the present report.

Comments and suggestions for the improvement of the report are welcome and will be thankfully acknowledged.

(Ramendu Roy) Agro-Economic Research Center Prof. & Hon. Director University of Allahabad Allahabad.

Date 27.06.2012

- 3 - CREDIT

Project Planning & Drafting Shri Ramji Pandey

Tabulation & Data Collection Shri R.S. Maurya

Data Entry & Mrs. Nirupama Nigam Computer Operations

Secretarial Services Mrs. M.R. Kesherwani & Shri S. D. Singh

Xeroxing Mr. H.C. Upadhyay

- 4 - CONTENTS

Pages

PREFACE 2-3

CRADIT 4

CONTENTS 5

LIST OF TABLES 6-7

CHAPTER-I Introduction 8-14

CHAPTER-II. Manpower Employment Generated under NREGA 15-81

& its various Socio-Economic Characteristics

CHAPTER-III. Household characteristic, their income & their 82-92 consumption Pattern. CHAPTER-IV. Work profile under NREGA, wage structure and 93-98 migration issues. CHAPTER-V. Qualitative Aspects of NREGA Functioning 99-114

CHAPTER-VI. Impact of NREGA on Village Economy 115-126

CHAPTER-VII. Summary and Conclusion 127-139

REFERENCES 140

Annexure 141-142

Summary 143-158

- 5 -

LIST OF TABLES

Table No. Title of Tables Page No. Chapter–I Table-I- 1 Sample Design Chapter-II Table-II- 1 An overview of NREGA in Uttar Pradesh Table-II- 2 (A) Employment generated through NREGA and Its various Socio- Economic characteristics (2010-2011) Table-II- 2 (B) Employment generated through NREGA and Its various Socio- Economic characteristics (2009-2010) Table-II- 2 (C) Employment generated through NREGA and Its various Socio- Economic characteristics (2008-2009) Table-II- 3 (A) District –wise Work Completed /Progress under NREGA (No. of Projects) (2010-11) Table-II- 3 (B) District –wise Work Completed /Progress under NREGA (No. of Projects) (2009-10) Table-II- 3 (C) District –wise Work Completed /Progress under NREGA (No. of Projects) (2008-09) Table-II- 4 (A) District –wise Work Completed /Progress under NREGA Expenditure (2010-11) Table-II- 4 (B) District –wise Work Completed /Progress under NREGA Expenditure (2009-10) Table-II- 4 (C) District –wise Work Completed /Progress under NREGA Expenditure (2008-09) Table-II- 5 (A) Social Auditing and inspection of NREGA work during 2010-11 Table-II- 5 (B) Social Auditing and inspection of NREGA work during 2009-10 Table-II- 5 (C) Social Auditing and inspection of NREGA work during 2008-09 Table-III- 6 (a) The NREGA payment processed though banks/post office during 2008-09 Table-III- 6 (a) The NREGA payment processed though banks/post office during 2008-09 Table-III- 6 (a) The NREGA payment processed though banks/post office during 2008-09 Table-III- 6 (b) The NREGA payment processed though banks/post office during 2009-10 Table-III- 6 (b) The NREGA payment processed though banks/post office during 2009-10 Table-III- 6 (b) The NREGA payment processed though banks/post office during 2009-10

- 6 - Table-III-6( C) The NREGA payment processed though banks/post office during 2010-11 Table-III-6( C) The NREGA payment processed though banks/post office during 2010-11 Table-III-6( C) The NREGA payment processed though banks/post office during 2010-11 Table-III-7 (A) Unemployment Allowance paid in lieu of not providing Employment (2010-11) Table-III-7 (B) The NREGA payment processed though banks/post office during 2010-11

Table-III- 1 Demographic profile of the respondents (% of household) Table-III- 2 Main Occupation (% of total man days per hh) Table-III- 3 Household Net Income (Annual) (Rs. Per household) Table-III- 4 Household consumption of food items (Kg. per capita per month) Table-III- 5 Monthly consumption expenditure of sample households Table-III- 6 Variability in consumption and Income Table-III- 7 Determinants of Participation in NREGA at the household level (Logit/Probit function) (Dependent variable: participation in NREGA)

Table-IV- 1 The work profile under NREGA (Reference period-Jan-Dec 2009) Table-IV- 2 No. of households completed 100 days of work under NREGA Table-IV- 3 The Activity in which employed under NREGA and the quality of assets created (Reference period-Jan-Dec 2009) (% of hh) Table-IV- 4 Wage Differentials among Different Activities Table-IV-5 Migration incidents recorded during the reference period Jan. -Dec. 2009

Table-V- 1 Assets Holdings of Sample Households Table-V- 2 Borrowings by Sample Households Table-V- 3 Household Strength on Borrowing and other Household Assets Table-V- 4 Qualitative Questions related to functioning of NREGA Table-V- 5 Quantitative related to NREGA Functioning (Percentage of hh) Table-V- 6 Provide Details on the Following Potential Benefits of NREGA (Percentage of hh) Table-V- 7 Quantitative Questions Related to food Security (Percentage of hh)

Table-VI- 1 Infrastructure Available within the Village Table-VI- 2 Occupational Structure Table-VI- 3 Wage rates for different activities Table-VI- 4 Prevailing Labour Charges for Agricultural Activities Table-VI- 5 Qualitative Questions on changes in the Villages during last one year Table-VI- 6 Quantitative questions about the functioning of NREGA

- 7 - CHAPTER-I

I.1 Introduction

National Rural Employment Guarantee Act (NREGA) was launched by the Ministry of Rural Development, Govt. of India on September 7, 2005. NREGA is the largest ever public employment programme visualized in human history. This is a flagship programme launched by the Government which touches the levels of rural poor directly. It assists during the time when there is a severe distress in rural livelihood. This Act aims at enhancing livelihood security of households in rural areas of the country by providing at least 100 days of guaranteed wage employment in a financial year to every household whose adult members volunteer to do unskilled manual work at a statutory minimum wage rate. This Act provides a legally enforceable right that facilitates the rural households to get employment in public works within 15 days of applying for the work. This Act is supposed to fulfill the short term need of casual employment while creating sustainable livelihoods in long term. Alongwith augmenting wage employment, this Act would strengthen the natural resource management through works that address causes of chronic poverty, recurrent drought and so encourage sustainable development. This Act is also a significant vehicle for strengthening decentralization and deepening processes of democracy by given a pivotal role to the Panchayat Raj Institutions in planning monitoring and implementation. NREGA has already recorded payment of unemployment allowance to large numbers of workers in chronically poorly administered areas.

Also even after more than 60 years of independence in India, almost 80% of its population suffer from malnutrition and the availability of food grains per capita has been reduced as compared to the same during 1950s. At this juncture, effective implementation of NREGA would facilitate in the following ways as (1) by providing relief in time of distress drought and floods, (2) by contributing to sustainable growth, (3) by making NREGA more effective instrument for reducing poverty, (4) by leading to reduction in

- 8 - dependence on state sponsored employment guarantee over time, (5) by leading to the non-inflationary expenditure and (6) by encouraging the private investments in rural areas where in infrastructures are development. Thus, NREGA has the capacity to change the rural scenario if it could be implemented with right spirit. Past studies on impacts of NREGA have indicated positive effect on different fronts in the rural areas of India. It has increased the bargaining power of the poorest of the poor at every stage from demanding a job card to ensuring legitimate wages for work. It has checked the extent of migration considerably in different parts of the country. However, it is needed to evaluate the performance of their programme on the basis of different provisions of the NREGA Act. The present study is a modest attempt to assess the impact of NREGA on wage rates food security and rural urban migration in the selected districts of Uttar Pradesh.

1.2. Historical Background

The Ministry of Rural Development, Govt. of India after launching NREGA on September 7, 2005 implemented this Act in phased manner on a pilot basis in 2006. In the Ist phase it was introduced w.e.f. February 2, 2006 on pilot basis in 200 economically disadvantaged most backward districts of the country. In the 2nd phase further 130 districts were included under this Act with effect from Ist April, 2007 and finally in the 3rd phase 274 districts of the country were covered under this Act with effect from 1st April, 2008. Presently this Act is effective in the entire rural areas of India covering a total of 618 districts. Also this Act has been renamed as “The Mahatma Gandhi National Rural Employment Guarantee Act” in December, 2009.

Before implementation of NREGA in the year 2005, following rural employment programmes were implemented from time to time.

(i) Rural Work Programme (RWP) 1960 (ii) Grass Scheme for Rural Employment (GSRE) 1971 (iii) Food for Work Programme (FFWP) 1977 (iv) National Rural Employment Programme (NREP) 1980 (v) Rural Labours Employment Guarantee Programme (RLEGP) 1983 (vi) Jawahar Rozgar Yojana (JRY) 1989

- 9 - (vii) Employment Assurance Scheme (EAS) 1993 (viii) Jawahar Gram Samridhi YoJana (JGSY) 1999 (ix) Sampoorn Grameen Rozgar Yojana (SGRY) 2001 (x) National Food for Work Programme (NFFWP) 2004 (xi) National Rural Employment Guarantee Scheme (NREGS) 2005

These above programmes were submerged within the NREGA programme in all most back-ward districts of the country with effect from 2008-09. NREGA firstly ensured the legal right to work for a hundred days to poor people who so ever is willing to work at a minimum wage rate particularly in the rural area, which in turn reduces the flow of rural to urban migration. In addition to this, another important objective of NREGA has been to strengthen the Panchayat Raj Institutions. NREGA addresses mainly to rural poor and their fundamental right to work with dignity.

1.3. Salient Features of NREGA

The salient features of the NREGA are as follows:-

 Eligibility: Any person who is above the age of 18 and resides in rural areas is entitled to apply for work.  Entitlement: Any applicant is entitled to work within 15 days, for as many as he/she has applied, subject to a limit of 100 days per household per year.  Distance: Work is to be provided within a radius of 5 kilometres of the applicant’s residence if possible, and in any case within the Block. If work is provided beyond 5 kilometres, travel allowances have to be paid.  Wages: Workers are entitled to the statutory minimum wage applicable to agricultural labourers in the state, unless and until the Central Government “notifies” a different wage rate. If the Central Government notifies, the wage rate is subject to a minimum of Rs. 60 per day.  Timely payment: Workers are to be paid weekly, or in any case not later than a fortnight. Payment of wages is to be made directly to the person concerned in the presence of independent persons of the community on -pre-announced dates.

- 10 -  Unemployment allowance: If work is not provided within 15 days, applicants are entitled to an unemployment allowance: one third of the wage rate for the first thrity days, and one half thereafter.  Worksite facilities: Labourers are entitled to various facilities at the worksite such as clean drinking water, shade during the periods of rest, emergency health care, and child-minding.

 Employment Guarantee Scheme: Each state government has to put in place an “Employment Guarantee Scheme” within six months of the Act coming into force.  Permissible works: A list of permissible works is given in Schedule I of the Act. These are concerned mainly with -water conservation, minor irrigation, land development, rural roads, etc. However, the Schedule also allows “any other work which may be notified by the Central Government in consultation with the State Government”.  Programme Officer: The Rural Employment Guarantee Scheme is to be coordinated at the Block level by a “Programme Officer”. However, the Act allows any of his/her responsibilities to be delegated to the Gram Panchayats.  Implementing agencies: REGS works are to be executed by “implementing agencies”. These include, first and foremost, the Gram Panchayats (they are supposed to implement half of the REGS works), but implementing agencies may also include other Panchayati Raj Institutions, line departments such as the Public Works Department or Forest Department, and NGOs.  Contractors: Private contractors are banned.  Decentralised planning: A shelf of projects is to be maintained by the Programme Officer, based on proposals from the implementing agencies. Each Gram Panchayat is also supposed to prepare a shelf of works based on the recommendations of the Gram Sabha.  Transparency and accountability: The Act includes various provisions for transparency and accountability, such as -regular social audits by the Gram

- 11 - Sabhas, mandatory disclosure of muster rolls, public accessibility of all REGS documents, regular updating of job cards, etc.

 Participation of women: Priority is to be given to women in the allocation of work, “in such a way that at least-one-third of the beneficiaries shall be women”.  Penalties: The Act states that “whoever contravenes the provisions of this Act shall on conviction be liable to a fine which may extend to one thousand rupees”.  State Council: The implementation of the Act is to be monitored by a “State Employment Guarantee Council”.  Cost sharing: The Central Government has to pay for labour costs and 75% of the material costs. State governments have to pay the unemployment allowance and 25% of the material costs.  Time frame: The Act is to come into force initially in 200 districts, and is to be extended to the whole of rural India within five years of its enactment

1.4. Main Objectives of the Study

The present study on “Impact of NREGA on Wage Rates, Food Security and Rural Urban Migration in U.P.” has been conducted with the following objectives:- 1. To measure the extent of manpower employment generated under NREGA, their various socio-economic characteristics and gender variation in the sample districts of U.P. 2. To compare wage differentials between NREGA activities and other wage employment activities. 3. To study the effect of NREGA on the pattern of migration from rural to urban areas. 4. To find out the nature of assets created under NREGA and their durability. 5. To identify factors determining the participating of people in NREGA scheme and whether NREGA has been successful in ensuring better food security to the beneficiaries.

- 12 - 6. To assess the implementation of NREGA, its functioning and to suggest suitable policy measures to further strengthen the programme.

1.5. Data and Research Methodology

The present study is based on both primary and secondary data. The sampling design given by the co-ordinator Centre of the study (ADRT Banglore) has been totally adopted for the selection of districts, villages and respondents. The primary and secondary data has been gathered from different sources. For collecting the primary data, multi stage random sampling method was followed for the study, NREGA has been implemented in three phases in the state of U.P. as well as whole country. In Uttar Pradesh, 22 districts in first phase, 30 districts in second phase and 20 districts in third phase have been taken for the implementation of NREGA. For the present study five districts namely Saharanpur, Etah, Barabanki, Allahabad and Kushi Nagar belonging to different phases and located at north, west, central south and east part of the state have been selected. These five districts are selected in such a manner that they could represent whole state to the maximum possible extent. From each selected district after consulting with the concerned government officials two villages were selected by keeping account, that one village is located around 5 Km from the distance of district head quarter or main city/ town and another village is in farther location of 20 Km. or more from the distance of district head- quarter or main city town. From each selected village 20 beneficiaries (working as NREGA worker) and 5 non-beneficiaries (working as wage employee other than NREGA) have been selected. For the selection of respondents a complete list of the households having job card and working in NREGA and other than NREGA work was prepared for each selected village alongwith the cost wise information of the workers. After the prepared list of workers stratified random sampling method was adopted for selection of the respondents giving proportional representation to the caste i.e schedule caste, schedule tribe, other backward caste and forward caste. A due representation was also given to the women respondents.

The primary data for the study were collected through personal interview method. Information regarding demographic profile, main occupation, income structure,

- 13 - consumption pattern, mobile and immobile property etc. were gathered together. Secondary data for the study was collected from the webside of the National Rural Employment Guarantee Act 2005 of the Ministry of Rural Development, . Thus, in all 5 districts 10 villages, 200 beneficiaries and 50 non- beneficiary’s samples were the basis of the present study. Table-I.1 presents about the sampling design. Table-I-1 Sampling Design

Districts Phase Location Village-I Village-II Total in the Name NREGA Non- Name NREGA Non- state Nrega Nrega Saharanpur III North Kakarhui 20 5 Kularkikhard 20 5 50 Etah II West Nagala 20 5 Ram Nager 20 5 50 pawal Barabanki I Central Barauli 20 5 Semari 20 5 50 Allahabad II East Dhobahat 20 5 Kaundi 20 5 50 Kushinagar I East Khirkiya 20 5 Danda 20 5 50 Dubey Total 100 25 100 25 250

1.6. Reference Period- The reference period of the study was 2009.

1.7 Chapter Scheme

The report of this study is arranged into seven chapters. These are as follows:

(I) Introduction (II) Manpower Employment Generated under NREGA and its various Socio- Economic Characteristics presents. (III) Household characteristic, their income and their consumption Pattern. (IV) Work profile under NREGA, wage structure and migration issues. (V) Functioning of NREGA (VI) NREGA impact on Village Economic. (VII) Concluding Remarks and Policy suggestion.

- 14 - CHAPTER-II

Manpower Employment Generated under NREGA and its Various Socio-Economic Characteristics

This chapter mainly deals with the manpower employment generated under NREGA in the sample households of Uttar Pradesh and its various socio-economic characteristics, Projects completed and in progress, amount spent, verification of accounts and other aspects of NREGA.

II.1 An Overview of NREGA in Uttar Pradesh

The performance indicators of NREGA in the state is analysed for the years 2008-09, 2009-010 and 2010-11 in table-II.1 The total expenditure was 356887.7 lakhs in the year 2008-09 which increased to (Rs. 590003.9 lakhs) by 65.32 per cent in the year 2009-10 and Rs. 367447.4 and decreased by 37.72 per cent in the year 2010-11. Thus, it has increasing trend over the period. Similar trend was found in the number of work/ projects formulated, works completed and in ongoing projects in 2008-09, 2009-10 and 2010-11 the number of projects taken were 295918, 801746 and 1527960 respectively. The total works completed were 1617 in 2008-09, 5890 in 2009-10 and 319889 in 2010-11. As far as the total work in progress is concerned were 251328 in 2008-09, 684019 in 2009-10 and 926175 in 2010-11. The total numbers of job-cards issued to the households were 10652018 in 2008-09, 11698780 in 2009-10 and 13052850 in the year 2010-11. Thus, this has also an increasing trend. The employment demanded by households over the period was 4338490, 5667644 and 6581786 and households provided employment was 4336466, 5483434 and 6431213. The total man-days generated increased from 2272.21 lakh during the year 2008-09 to 3559.23 lakhs during the year 2009-10 and therefore, declined marginally to 3349.01 lakh. The households which had completed 100 days of works in the state were 647525 in the year 2008-09, 796929 in the year 2009-10 and 600559 in the year 2010-11. This trend was also observed in man-days generated and

- 15 - households completed the 100 days of work. Thus, firstly the generation of employment increased and thereafter decreased in the year 2010-11. Table-II-1 An overview of NREGA in Uttar Pradesh

Performance 2008-09 2009-10 2010-11 indicators Total Expenditure 356887.7 590003.9 367447.4 (Rs. Crores) Total Work Taken 295918 801746 1527960 (Nos.) Total work 1617 5890 319889 completed (Nos.) Total work in 251328 684019 926175 progress (Nos.) Total Job Cards 10652018 11698780 13052850 Issued (Nos.) H.H. Demanded 4338490 5667644 6581786 Employment (Nos.) H.H. Provided 4336466 5483434 6431213 Employment (Nos.) Cumulative Person 2272.21 3559.23 3349.01 Days Generated (in Lakhs) Cumulative Nos. of 647525 796929 600559 H.H. Completed 100 days of work Source: The Mahatma Gandhi National Rural Employment Guarantee Act, U.P. II.2. Total Employment Generated and its various Socio-Economic Characteristics

In this section the analysis comprises the state and districts-wise extent, nature and pattern of employment generated through NREGA, job-card issued, the household demanded work under scheme and number of household provided employment over the period of last three years i.e. 2008-09 to 2010-11. Table-II.2 a shows that the total 1,30,52,850 job-cards were issued in the year 2010-11. Among the job-card holders, the population of schedule caste was 6245189, schedule tribes 120848 and rest other categories 6686833. The highest job cards (467578) were issued in district i.e.3.58 per cent followed by district Lakhimpur Khiri (428822) accounting for 3.29 per cent of job cards. The lowest percentage of 0.20 per cent was observed in district Gautam

- 16 - Buddha Nagar (26183). As far as the job-cards issued to SC is concerned district stood at first place (97.4 per cent) followed by Dehat district (69.91 per cent). issued highest percentage of job-cards 86.12 per cent followed by district 81.23 per cent in respect of rest other categories. During this year a total of 65,81,786 households demanded employment against which 64,31,213 households were provided employment and it was 97.71 per cent of total demanded employment by the households. obtained first place by demanding 2,55,303 man-days followed by demanding 2,11,234 man-days.

Out of the 72 districts of the state only 13 districts could not be provided 100 per cent of employment to households and within the above districts the stood on bottom 254325 and provided 42.19 per cent employment against demanded employment.

As far as the number of man days generated is concerned it amounted to 3,349.01 lakhs. Among the total man days the population of Schedule castes was 53.96 per cent schedule tribes 2.10 per cent and rest other categories 43.94 per cent. The district-wise details in this respect can be seen from Table-II.2 (a). The households which completed 100 days accounted to 6,00,539. Sitapur district having (32491 days) obtained first place followed by Hamirpur district obtaining 26472 man days.

Table-II.2.b indicates the different aspects for the year 2009-10. In this year a total of 1,16,98,780 households were issued job-cards of which 51.02 per cent was schedule castes, 0.82 per cent scheduled tribes and the rest 48.16 per cent belonged to other categories. The highest job-cards holder district was Sitabur (4,12,828) followed by Lakhimpur Khiri districts (3,87,284). The lowest percentage i.e. 0.19 per cent was in district followed by 0.24 per cent in district.

During this year the total of 56,67,644 households demanded employment against which 54,83,434 households were provided employment. The households demanding highest job cards was Sultanpur district (5.54 per cent) followed by Sitapur district (3.38 per cent). During this year 28,27,732 households were working under NREGA and Kushinagar district obtained first place (3.99 per cent) followed by

- 17 - (3.83per cent). As far as the number of man days generated is concerned, it amounted to 3,55,923 lakhs in which 56.41 per cent for scheduled castes 1.48 per cent for scheduled tribes and 42.11 per cent for other categories. A total of 771.34 lakhs man days were generated for the women. The share of women was 21.67 per cent in this year. The district-wise details can be seen from the table-2.2 (a). The households which completed 100 days work were 7,96,929 and highest percentage in this respect was 4.39 in followed by Sant Kabir Nagar district.

Table-II.2.(C) analysed the job cards issued and other respect for the year 2008-09. It can be seen from the table that a total of 1,06,52,018 households were issued job cards of which 50.72 per cent were issued to scheduled castes 0.86 per cent scheduled tribes and rest 48.42 per cent belonged to other categories. The district-wise analysis of job cards reflects that highest percentage of job cards were issued in Sitapur district 3.64 per cent followed by 3.50 per cent in . has highest percentage i.e. 3.33 per cent of job cards among the scheduled tribes followed by Lalitpur district by 2.45 per cent. During this year households demanded for employment were 43,38,490 against which 43,36,466 households were provided employment. The percentage of provided employment to demanded employment was 99.95 per cent. Thus, the highest percentage of households demanding employment was 4.46 per cent in district Sitapur followed by Barabanki district. The respective percentages being 4.46 per cent and 3.72 per cent. In this year the total number of households working under NREGA was 21,33,977, the highest percentage i.e. 6.36 per cent belong to Kushi Nagar district followed by Allahabad district by 4.98 per cent. During this year a total of 2272.21 lakhs man days employment generated of which 1216.93 lakhs were accounted for scheduled castes, 44.57 lakhs for scheduled tribes and rest 1,01,071 lakhs by others categories. The percentage of women in total employment generated was 18.11 per cent. During this year number of households which completed 100 days was 6,47,525 and highest percentage i.e. 6.29 per cent in this respect was in Sonbhadra district followed by by 5.36 percent. Thus, among women also a considerable amount of employment was generated. The highest women days were generated in Sonbhadra district.

- 18 - - 19 - Table- II.2 (A ) Employment generated through NREGA and Its various Socio-Economic characteristics (2010-2011)

Name of the Cumulative No. of H.H. issued job cards (Till the reporting Cumulat Cumulative No. of Cumul Cumulative Person days generate (Till the reporting month) (Fig. Cum ive No. ive N Districts month) H.H. provided ative in Lakhs) of H.H. employment (Till No. of of H demand comp SCs STs Others Total the reporting H.H. SCs STs Others Total ed Women ed 10 employ month) workin days Count Count Count Count Count Count Count Count Count % Coun % % % % % ment % g under % % % (Till (Till the NREG t repor reportin A g g during mont month) the reporti ng month 18.56 0.21 3004 81.23 100 97.96 54.6 63.15 0 31.8 36.8 86.5 100 31.8 36.8 Azamgarh 68629 792 33 369854 155786 152604 16687 4 0 8 5 2 7 4 2469 55.00 0.00 8078 45.00 100 100.00 35.5 54.88 0 29.2 45.1 64.7 100 22.6 35.0 Banda 98733 0 3 179516 88891 88891 88891 4 0 2 2 6 8 2 2471 57.19 0.00 1600 42.81 100 100.00 45.7 55.08 0 37.2 44.9 100 0.84 Barabanki 213739 0 27 373766 211254 211254 46232 2 0 8 2 83 0.7 6116 55.00 0.00 8224 45.00 100 100.00 51.85 0 48.1 100 31.8 Chandauli 100510 0 0 182750 75710 75710 75710 25.2 0 23.4 5 48.6 15.5 9 3545 56.74 0.00 4795 43.26 100 100.00 62.05 0 11.6 37.9 30.6 100 10.5 34.4 Chitrakoot 62886 0 5 110841 72918 72918 65308 19 0 2 5 2 5 5 6029 45.28 0.00 1364 54.72 100 100.00 28.9 48.52 0 30.7 51.4 59.6 100 17.9 30.0 Fatehpur 112898 0 34 249332 118723 118723 22161 5 0 1 8 6 1 2 8184 60.02 0.00 9679 39.98 100 100.00 41.1 63.64 0 23.5 36.3 64.6 100 15.1 23.4 145308 0 2 242100 108793 108793 30154 5 0 1 6 6 6 5 1437 45.16 0.00 7013 54.84 100 100.00 27.7 56.39 0 21.4 43.6 49.2 100 16.7 34.0 Hamirpur 57765 0 5 127900 89516 89516 41922 8 0 8 1 6 6 2 2647 34.81 0.13 2780 65.05 100 99.71 28.1 33.94 0.12 54.6 65.9 82.8 100 3.34 Hardoi 148798 570 68 427436 214877 214260 36230 1 0.1 2 4 3 2.77 1118 42.65 0.00 9431 57.35 100 100.00 31.9 52.04 0 29.4 47.9 61.3 100 14.5 23.6 70153 0 5 164468 116827 116827 18836 4 0 4 6 8 3 7 2105 65.00 0.00 8884 35.00 100 100.00 39.4 65.01 0 21.2 34.9 60.6 100 19.4 32.0 Jaunpur 165003 0 8 253851 131109 131109 131109 4 0 3 9 7 2 1 8342 65.08 0.00 5802 34.92 100 100.00 17.2 60.01 0 11.5 39.9 28.8 100 10.0 34.9 Kaushambi 108158 0 5 166183 72780 72780 9123 9 0 2 9 1 8 9 3425 60.00 2.20 1620 37.80 100 100.00 54.4 51.83 4.24 46.1 43.9 104. 100 3.16 257293 9453 76 428822 199106 199106 31522 2 4.45 2 3 99 3.32 1142 Kushi 48.48 0.00 1478 51.52 100 100.00 29.5 40.57 0 43.2 59.4 72.8 100 11.2 15.4 Nagar 139127 0 22 286949 127317 127317 127317 5 0 8 3 3 2 1 1034 37.12 2699 16.3 7674 46.51 100 100.00 27.1 50.01 9.53 21.9 40.4 54.3 100 18.0 33.2 Lalitpur 61248 3 6 0 164981 96310 96310 36310 7 5.18 8 6 3 5 2 1405 52.55 0.00 3776 47.45 100 100.00 10.0 49.73 0 10.1 50.2 20.2 100 30.2 41833 0 9 79602 33089 33089 33089 5 0 6 7 1 6.11 3 2279 56.89 0.31 1080 42.80 100 100.00 52.5 72.91 0.25 19.3 26.8 72.0 100 27.1 37.7 Mirzapur 143616 772 60 252448 153515 153515 73187 1 0.18 3 4 2 7 3 8303 59.32 0.00 1065 40.68 100 100.00 25.4 47.48 0 28.1 52.5 53.5 100 11.0 20.5 Pratapgarh 155373 0 72 261945 93261 93261 13403 1 0 1 2 2 1 7 5858 60.04 0.00 1003 39.96 100 99.92 35.2 61.34 0 22.2 38.6 57.5 100 11.8 20.5 Rae Bareli 150724 0 14 251038 128916 128815 21614 8 0 4 6 2 2 5 6375 59.57 0.00 1890 40.43 100 99.62 59.7 57.47 0 44.2 42.5 104. 100 10.5 10.1 Sitapur 278531 0 47 467578 255303 254325 44155 8 0 4 3 02 8 7 3249 30.70 7336 23.9 1393 45.40 100 99.96 35.6 40.17 27.3 30.8 25.7 29.0 88.6 100 36.5 41.2 Sonbhadra 94230 3 0 56 306949 183330 183258 98713 3 4 3 2 0 9 7 3 1511 59.82 0.00 1302 40.18 100 100.00 50.0 61.01 0 31.9 38.9 81.9 100 15.3 18.7 193981 0 96 324277 135294 135294 17284 2 0 6 9 8 8 6 2323 Ambedkar 40.97 0.00 1263 59.03 100 100.00 24.8 60.06 0 16.5 39.9 41.4 100 20.7 Nagar 87703 0 57 214060 58987 58987 31942 7 0 4 4 1 8.6 7 3506 17.81 0.17 2570 82.02 100 100.00 34.5 65.56 0.47 17.9 33.9 52.7 100 11.2 21.2 55810 543 94 313447 103454 103454 90732 9 0.25 2 7 6 2 7 1514 35.25 1.23 1336 63.52 100 100.00 24.8 44.62 0.65 54.7 55.7 100 29.9 74147 2597 09 210353 97101 97101 28705 6 0.36 30.5 4 2 16.7 7 8810 39.94 2.32 7489 57.74 100 100.00 29.3 50.55 1.13 28.0 48.3 58.1 100 12.6 21.7 51799 3010 9 129708 89741 89741 46971 8 0.66 6 8 1 2 2 1 1495 32.47 0.00 1548 67.53 100 100.00 34.2 51.97 0 31.6 48.0 65.9 100 20.4 30.9 Basti 74471 0 47 229318 140176 140176 29436 9 0 9 3 8 5 9 1765 32.40 0.00 1620 67.60 100 100.00 26.6 50.41 0 26.2 49.5 52.9 100 8.92 77687 0 90 239777 113863 113863 113863 7 0 4 9 1 4.72 7138 22.29 0.00 8465 77.71 100 99.95 10.5 34.71 0 19.7 65.2 30.3 100 3.53 Etah 24282 0 5 108937 67516 67483 6341 2 0 9 9 1 1.07 5231 Farrukhaba 51.92 0.00 4337 48.08 100 100.00 14.2 54.98 0 11.6 45.0 25.8 100 9.47 d 46837 0 5 90212 51883 51883 51883 3 0 5 2 8 2.45 5432 60.00 0.00 1037 40.00 100 100.00 30.6 60.08 0 20.3 39.9 50.9 100 11.1 21.9 Gonda 155654 0 67 259421 113378 113378 11569 1 0 4 2 5 6 0 3648 63.50 0.00 5384 36.50 100 100.00 41.4 65.98 0 21.3 34.0 62.7 100 31.3 93662 0 2 147504 92019 92019 5258 2 0 6 2 8 19.7 8 2143 Kanpur 69.91 0.00 5693 30.09 100 100.00 18.2 44.77 0 22.5 55.2 40.8 100 7.07 Dehat 132296 0 7 189233 90566 90566 38645 9 0 6 3 5 2.89 8975 Maharajgan 50.54 0.33 1027 49.12 100 100.00 38.9 56.87 0 29.5 43.1 68.4 100 30.1 j 105723 700 49 209172 121454 121454 38889 1 0 1 3 2 20.6 1 1352 54.42 0.00 7623 45.58 100 100.00 34.0 60.00 0 22.6 40.0 100 21.7 38.2 Mau 91030 0 6 167266 92680 92680 92680 2 0 8 0 56.7 1 9 5159 Sant 46.54 0.00 53.46 100 100.00 60.42 0 39.5 100 22.8 Kabeer 8099 30.4 19.9 8 50.3 3 Nagar 70520 0 4 151514 110704 110704 110704 4 0 4 8 11.5 1053 31.85 0.85 7210 67.29 100 100.00 38.86 2.50 13.1 58.6 22.4 100 5.04 Shravasti 34130 915 1 107146 67613 67613 9661 8.72 0.56 6 5 4 1.13 1248 Siddharth 24.32 0.00 1641 75.68 100 100.00 40.7 51.99 0 37.6 48.0 78.3 100 24.3 Nagar 52744 0 07 216851 127106 127106 127106 3 0 1 1 4 19.1 8 1120 58.17 0.00 8164 41.83 100 42.19 17.6 23.19 20.4 26.8 38.1 49.9 76.2 100 4.70 Sultanpur 113553 0 6 195199 195199 82348 22928 8 5 2 2 9 5 3.58 4987 49.00 0.00 5696 51.00 100 100.00 50.48 0 13.3 49.5 26.9 100 30.4 54734 0 9 111703 51980 51980 51980 13.6 0 4 2 4 8.19 0 3143 12.97 0.00 1115 87.03 100 100.00 22.0 59.62 0 14.9 40.3 36.9 100 13.9 37.6 16626 0 49 128175 48013 48013 48013 4 0 3 8 7 1 3 4140 60.00 0.00 1230 40.00 100 86.66 35.7 59.99 0 23.8 40.0 59.5 100 20.8 35.0 Allahabad 184506 0 04 307510 114219 98980 17189 5 0 4 1 9 6 1 3594 Aurriya 64361 58.44 0 0.00 4577 41.56 110139 100 68502 68502 100.00 14922 17.8 58.06 0 0 12.9 41.9 30.7 100 3.58 11.6 4717

- 21 - 8 6 4 6 4 29.28 0.00 1997 70.72 100 97.71 30.33 0 69.6 100 10.9 Bagpat 8271 0 9 28250 6906 6748 730 1.11 0 2.55 7 3.66 0.4 3 238 38.99 0.00 1380 61.01 100 100.00 23.9 54.01 0 20.4 45.9 100 9.01 88251 0 88 226339 150834 150834 10896 8 0 2 9 44.4 4 1882 51.04 0.13 6894 48.83 100 100.00 20.2 59.09 0.09 13.9 40.8 100 7.19 Bijnour 72060 184 5 141189 75427 75427 47129 1 0.03 6 2 34.2 2.46 2522 Bulandshah 42.81 0.00 5603 57.19 100 100.00 53.44 0 46.5 15.5 100 12.4 ar 41940 0 5 97975 45396 45396 45396 8.32 0 7.25 6 7 1.94 6 1018 C.S.Ji M. 41.17 0.00 1476 58.83 100 100.00 20.0 40.34 0 29.5 59.6 100 19.3 Nagar 103380 0 97 251077 85352 85352 1936 1 0 9 6 49.6 9.6 5 1112 13.28 0.61 7303 86.12 100 100.00 24.2 61.93 27.8 10.2 39.1 100 22.1 Deoria 11260 515 8 84813 58924 58924 1317 5 10.9 3 4.01 4 6 8.68 7 8115 59.28 0.00 4962 40.72 100 100.00 13.4 60.01 0 39.9 22.4 100 11.1 72245 0 7 121872 49983 49983 7107 6 0 8.97 9 3 2.5 5 2359 52.50 0.00 1207 47.50 100 100.00 29.9 56.91 0 22.6 43.0 52.5 100 16.6 31.7 133471 0 43 254214 76521 76521 43755 2 0 5 9 7 9 5 7473 40.07 0.29 2919 59.64 100 100.00 50.16 0 49.8 18.9 100 19.0 19616 144 9 48959 27890 27890 5311 9.51 0 9.45 4 6 3.61 4 4217 Gautam 32.66 0.00 1763 67.34 100 100.00 32.69 0 67.3 100 9.62 Budh Nagar 8551 0 2 26183 2210 2210 2210 0.17 0 0.35 1 0.52 0.05 40 60.00 0.00 9361 40.00 100 100.00 41.4 60.01 0 39.9 69.0 100 41.8 Gazipur 140436 0 7 234053 115305 115305 76186 2 0 27.6 9 2 28.9 7 4682 49.77 0.00 1483 50.23 100 100.00 32.83 0 67.1 100 8.13 Ghaziabad 14700 0 6 29536 4052 4052 946 1.09 0 2.23 7 3.32 0.27 327 J.R. Phule 29.15 0.00 8092 70.85 100 100.00 10.3 30.61 0 23.4 69.3 33.7 100 9.69 Nagar 33296 0 2 114218 53315 53315 49789 3 0 2 9 5 3.27 3016 60.00 0.00 4156 40.00 100 100.00 14.2 60.00 0 40.0 23.7 100 0.00 62348 0 5 103913 58216 58216 58216 5 0 9.5 0 5 0 2927 Kanpur 60.00 0.00 7091 40.00 100 100.00 61.23 0 17.3 38.7 44.7 100 7.53 Nagar 106375 0 6 177291 76416 76416 10511 27.4 0 5 7 5 3.37 6898 Kashiram 40.00 0.00 5909 60.00 100 76.56 13.1 42.98 0 17.4 57.0 30.6 100 8.23 Nagar 39395 0 2 98487 70482 53962 53962 6 0 6 2 2 2.52 3955 53.15 0.00 7433 46.85 100 100.00 27.0 70.01 0 11.5 29.9 38.5 100 12.0 Lucknow 84326 0 4 158660 76174 76174 3981 1 0 7 9 8 4.63 0 7067 Mahamaya 41.97 0.00 3281 58.03 100 100.00 57.32 0 42.6 14.4 100 3.87 Nagar 23733 0 7 56550 38496 38496 4478 8.3 0 6.18 8 8 0.56 1299 53.49 0.00 7753 46.51 100 100.00 20.1 55.55 0 16.1 44.4 36.2 100 17.9 89162 0 7 166699 64029 64029 64029 6 0 3 5 9 6.52 7 4285 59.64 0.00 3529 40.36 100 99.22 10.1 55.10 0 44.9 18.4 100 26.0 52154 0 7 87451 37981 37684 7921 5 0 8.27 0 2 4.79 0 3567 53.66 0.00 1372 46.34 100 100.00 54.74 0 45.2 100 9.48 15895 0 5 29620 9756 9756 1245 2.31 0 1.91 6 4.22 0.4 542 38.88 0.02 8957 61.11 100 99.72 20.4 46.72 0 23.2 53.2 43.6 100 7.71 56985 26 2 146583 93228 92967 29210 1 0 8 8 9 3.37 5747 Muzaffarna 51.94 0.00 2813 48.06 100 100.00 55.01 0 44.9 100 19.1 gar 30404 0 0 58534 21721 21721 6817 5.27 0 4.31 9 9.58 1.83 0 1578 22.78 0.03 1336 77.19 100 100.00 23.3 50.94 0.04 22.4 49.0 45.7 100 10.0 21.9 39448 51 83 173182 75764 75764 26948 1 0.02 3 2 6 5 6 3542 32.45 0.00 7428 67.55 100 100.00 12.7 56.23 0 43.7 22.7 100 10.0 Rampur 35680 0 3 109963 42741 42741 26738 8 0 9.95 7 3 2.28 3 1035

- 22 - 58.20 0.00 5189 41.80 100 99.55 16.8 60.71 0 10.9 39.2 27.7 100 17.6 Saharanpur 72244 0 4 124138 58912 58648 22014 7 0 2 9 9 4.89 0 2213 S.Ravidas 62.00 0.00 3942 38.00 100 100.00 60.34 0 10.4 39.6 26.3 100 30.5 Nagar 64325 0 5 103750 51396 51396 51396 15.9 0 5 6 5 8.05 5 3635 Shahjahnpu 62.45 0.00 9473 37.55 100 100.00 31.7 57.40 0 23.5 42.6 55.3 100 15.1 r 157540 0 3 252273 100483 100483 100483 7 0 8 0 5 8.39 6 6722 97.41 0.58 2.01 100 100.00 30.1 68.24 0 14.0 31.7 44.1 100 18.9 Varanasi 36867 220 760 37847 75097 75097 75097 3 0 2 6 5 8.36 4 4411 624516 47.85 1208 0.93 6686 51.23 130528 100 658178 643121 97.71 290412 1807 53.96 70.4 2.10 1471 43.9 3349 100 717. 21.4 U.P. 9 48 833 50 6 3 8 .02 8 .51 4 .01 28 2 6005

- 23 - Table- II.2 (B ) Employment generated through NREGA and Its various Socio-Economic characteristics (2009-2010)

Name Cumulative No. of H.H. issued job cards (Till the reporting month) Cumulati Cumulative No. Cumulat Cumulative Person days generate (Till the reporting month) (Fig. in Cum ve No. of of H.H. ive No. ve N of the H.H. of H.H. Lakhs) demande provided H.H. working Districts SCs STs Others Total d employment SCs STs Others Total Women comp employm under ent (Till (Till the NREGA d 100 the reporting during days reporting month) the (Till month) Count % Count % Count % Count % Count % reportin Count % Count % Count % Count % Count % repor g month mont azamgarh 175428 61.00 0 0 112159 39.00 287587 100 95456 95456 100 66892 51.33 59.99 0 0 34.23 40.01 85.56 100 26.52 31.00 2 Banda 82258 51.13 0 0 78608 48.87 160866 100 89601 89601 100 9332 36.53 52.85 0 0 32.59 47.15 69.12 100 23.25 33.64 2 Barabanki 183903 57.38 0 0 136570 42.62 320473 100 173083 173083 100 27850 45.33 59.83 0 0 30.44 40.17 75.77 100 0.69 0.91 0 42.01 100 99.6 0 45.99 100 35.53 Chandauli 94115 57.99 0 68173 162288 84140 83842 5 83842 31.65 54.01 0 26.95 58.6 20.82 1 Chitrakoot 62317 61.32 0 0 39310 38.68 101627 100 51597 51597 100 50499 26.35 64.16 0 0 14.72 35.84 41.07 100 15 36.52 1 Fatehpur 109864 44.99 0 0 134347 55.01 244211 100 122758 122758 100 10062 30.67 46.02 0 0 35.97 53.98 66.64 100 13.12 19.69 Gorakhpur 138240 61.93 0 0 84987 38.07 223227 100 91557 91557 100 26994 39.22 67.74 0 0 18.68 32.26 57.9 100 14.51 25.06 Hamirpur 57765 49.86 0 0 58079 50.14 115844 100 83752 83752 100 18200 36.72 54.00 0 0 31.28 46.00 68 100 23.12 34.00 3 0 45.26 100 100 0 41.93 110.3 100 14.52 Hardoi 206269 54.74 0 170520 376789 162896 162896 5910 64.09 58.07 0 46.27 6 16.02 2 Jalaun 63689 42.85 0 0 84952 57.15 148641 100 126484 126484 100 58589 47.12 55.34 0 0 38.02 44.66 85.14 100 16.03 18.83 3 Jaunpur 150641 65.00 0 0 81115 35.00 231756 100 108200 108200 100 108200 46.2 65.00 0 0 24.88 35.00 71.08 100 22.78 32.05 Kaushamb 0 34.00 100 100 0 39.66 100 34.84 i 105314 66.00 0 54260 159574 63303 63303 22340 23.55 60.34 0 15.48 39.03 13.6 4 0.9 43.33 100 100 0.80 38.16 100 8.33 Kheri 215950 55.76 3528 1 167806 387284 152762 152762 39266 49.69 61.04 0.65 31.06 81.4 6.78 1 Kushi 0 51.52 100 100 0 39.90 100 11.46 Nagar 139127 48.48 0 147822 286949 112918 112918 112918 42.74 60.10 0 28.37 71.11 8.15 1699 13. 47.92 100 100 10.03 44.73 100 36.59 Lalitpur 49194 38.71 3 37 60888 127075 80898 80898 80889 27.46 45.24 6.09 27.15 60.7 22.21 24 Mahoba 37416 54.27 0 0 31527 45.73 68943 100 54120 54120 100 54120 24.26 53.40 0 0 21.17 46.60 45.43 100 15.45 34.01 1 0.2 40.30 100 100 0.20 40.98 100 35.49 Mirzapur 139038 59.44 616 6 94261 233915 125449 125449 70496 47.62 58.82 0.16 33.18 80.96 28.73 1 Pratapgar 0 40.24 100 100 0 48.78 100 23.11 h 148846 59.76 0 100245 249091 90530 90530 90530 23.98 51.22 0 22.84 46.82 10.82 Rae Bareli 214245 59.60 0 0 145224 40.40 359469 100 130438 130438 100 5528 51.49 60.17 0 0 34.08 39.83 85.57 100 13.68 15.99 1 0 39.93 100 99.9 0 38.13 102.2 100 9.35 Sitapur 247992 60.07 0 164836 412828 191389 191283 446 24927 63.24 61.87 0 38.98 2 9.56 2 Sonbhadr 6734 25. 39.48 100 100 30 30.65 100 40.32 a 90018 34.62 0 90 102647 260005 186544 186544 45718 58.39 39.35 44.52 45.49 148.4 59.84 2 Unnao 193981 59.82 0 0 130296 40.18 324277 100 134357 134357 100 78010 56.22 59.20 0 0 38.74 40.80 94.96 100 20.75 21.85 2 Ambedkar 0 59.31 100 100 0 42.66 100 14.32 Nagar 78456 40.69 0 114374 192830 64314 64314 50193 27.98 57.34 0 20.82 48.8 6.99 0.1 82.02 100 99.9 0.15 46.10 100 16.29 Bahraich 55810 17.81 543 7 257094 313447 111653 111554 1 80325 35.84 53.75 0.1 30.74 66.68 10.86 1.4 60.32 100 100 0.77 47.00 100 13.05 Ballia 69761 38.26 2597 24 109986 182344 82231 82231 39436 29.06 52.23 0.43 26.15 55.64 7.26

- 24 - 2.3 68.22 100 100 0.67 47.62 100 16.01 Balrampur 32316 29.43 2578 5 74899 109793 77719 77719 22485 32.53 51.71 0.42 29.96 62.91 10.07 1 Basti 62635 34.76 0 0 117566 65.24 180201 100 96825 96825 100 36542 32.78 55.47 0 0 26.31 44.53 59.09 100 17.79 30.11 24 Budaun 67178 31.41 0 0 146690 68.59 213868 100 93755 93755 100 93755 26.78 51.70 0 0 25.02 48.30 51.8 100 5.11 9.86 Etah 21713 27.00 0 0 58698 73.00 80411 100 44372 44372 100 2256 17.97 49.82 0 0 18.1 50.18 36.07 100 2.89 8.01 2 Farrukhab 0 52.88 100 100 0 41.97 100 3.83 ad 40233 47.12 0 45156 85389 39528 39528 34590 14.09 58.03 0 10.19 24.28 0.93 Gonda 131841 60.00 0 0 87893 40.00 219734 100 99312 99312 100 99312 38.04 60.00 0 0 25.36 40.00 63.4 100 13.92 21.96 2 Jhansi 86020 64.24 0 0 47886 35.76 133906 100 86178 86178 100 86178 39.04 61.43 0 0 24.51 38.57 63.55 100 19.79 31.14 2 Kanpur 0 40.85 100 100 0 36.01 100 8.70 Dehat 79849 59.15 0 55155 135004 75845 75845 75845 26.78 63.99 0 15.07 41.85 3.64 1 Maharajga 0.3 50.09 100 100 0 41.00 100 31.49 nj 93475 49.54 700 7 94509 188684 87625 87625 26984 36.12 59.00 0 25.1 61.22 19.28 2 Mau 57596 49.14 0 0 59616 50.86 117212 100 67417 67417 100 67417 28.1 54.35 0 0 23.6 45.65 51.7 100 18.83 36.42 1 Sant 0 53.86 100 100 0 39.08 100 23.70 Kabeer Nagar 53228 46.14 0 62127 115355 72850 72850 72850 34.01 60.92 0 21.82 55.83 13.23 34 0.8 70.46 100 100 0.94 52.85 100 4.92 Shravasti 27931 28.71 808 3 68547 97286 35097 35097 1225 11.75 46.21 0.24 13.44 25.43 1.25 Siddharth 0 51.59 100 100 0 44.95 100 29.59 Nagar 90746 48.41 0 96703 187449 112632 112632 79234 44.16 55.05 0 36.06 80.22 23.74 2 0 41.89 100 44.3 0 41.29 100 7.74 Sultanpur 182515 58.11 0 131556 314071 314071 139249 4 16181 45.95 58.71 0 32.31 78.26 6.06 1 0 55.50 100 100 0 48.73 100 101.5 Agra 41109 44.50 0 51271 92380 44652 44652 44652 14.98 51.27 0 14.24 29.22 29.67 4 4 Aligarh 10181 12.13 0 0 73779 87.87 83960 100 45761 45761 100 11156 16.43 60.99 0 0 10.51 39.01 26.94 100 8.32 30.88 Allahabad 184506 60.00 0 0 123004 40.00 307510 100 90208 90208 100 37872 37.93 60.00 0 0 25.29 40.00 63.22 100 23.4 37.01 34 Aurriya 62651 59.87 0 0 41994 40.13 104645 100 54451 54451 100 24852 16.97 56.45 0 0 13.09 43.55 30.06 100 1.71 5.69 2 Bagpat 8311 37.46 0 0 13874 62.54 22185 100 6670 6670 100 4827 1.57 40.99 0 0 2.26 59.01 3.83 100 0.22 5.74 Bareilly 88251 42.24 0 0 120694 57.76 208945 100 71516 71516 100 9344 23.85 51.18 0 0 22.75 48.82 46.6 100 5.76 12.36 4 0.1 45.49 100 100 0 41.44 100 4.79 Bijnour 60277 54.40 118 1 50400 110795 62416 62416 34513 21.66 58.56 0 15.33 36.99 1.77 2 Bulandsha 0 56.73 100 100 0 53.33 100 12.68 har 34375 43.27 0 45064 79439 50170 50170 50170 8.76 46.67 0 10.01 18.77 2.38 C.S.Ji M. 0 0.00 0 0 0 0.00 0 0.00 Nagar 0 0 0 0 0 0 0 0 0 0.00 0 0 0 0 Deoria 102000 60.00 0 0 68000 40.00 170000 100 67836 67836 100 8462 24.02 49.43 0.14 0.29 24.43 50.28 48.59 100 7.91 16.28 Etawah 60854 54.83 0 0 50127 45.17 110981 100 45851 45851 100 8965 17.68 59.99 0 0 11.79 40.01 29.47 100 0.94 3.19 Faizabad 121483 52.97 0 0 107879 47.03 229362 100 65247 65247 100 52078 23.99 58.78 0 0 16.82 41.22 40.81 100 13.98 34.26 4 Firozabad 16386 37.05 0 0 27846 62.95 44232 100 26340 26340 100 26340 9.43 50.43 0 0 9.27 49.57 18.7 100 1.92 10.27 4 G.Budh 0 63.82 100 100 0 62.67 100 1.33 Nagar 9412 36.18 0 16602 26014 1805 1805 1805 0.28 37.33 0 0.47 0.75 0.01 Gazipur 134682 62.00 0 0 82547 38.00 217229 100 86231 86231 100 26291 42.81 62.00 0 0 26.24 38.00 69.05 100 28.96 41.94 1 Ghaziabad 14455 50.86 0 0 13968 49.14 28423 100 3761 3761 100 958 1.17 43.98 0 0 1.49 56.02 2.66 100 0.14 5.26 J.R. Phule 0 61.40 100 100 0 53.16 100 9.99 Nagar 31282 38.60 0 49749 81031 36924 36924 6512 10.46 46.84 0 11.87 22.33 2.23 Kannauj 43072 49.45 0 0 44038 50.55 87110 100 52010 52010 100 52010 14.33 60.46 0 0 9.37 39.54 23.7 100 0.56 2.36 2 Kanpur 0 35.99 100 100 0 40.01 100 3.71 Nagar 96407 64.01 0 54202 150609 81056 81056 9289 26.06 59.99 0 17.38 43.44 1.61 Kashiram 0 64.46 100 100 0 58.99 100 4.13 Nagar 27130 35.54 0 49211 76341 52381 52381 26719 12.32 41.01 0 17.72 30.04 1.24 4 Lucknow 109641 79.00 0 0 29145 21.00 138786 100 69768 69768 100 6804 27.48 75.06 0 0 9.13 24.94 36.61 100 5.11 13.96 Mahamay 18291 48.49 0 0 19427 51.51 37718 100 24537 24537 100 1753 7.31 52.67 0 0 6.57 47.33 13.88 100 0.25 1.80

- 25 - a Nagar Mainpuri 55986 43.01 0 0 74194 56.99 130180 100 52790 52790 100 52790 25.01 60.00 0 0 16.67 40.00 41.68 100 0.16 0.38 Mathura 35959 50.37 0 0 35436 49.63 71395 100 37402 37402 100 9862 10.63 56.78 0 0 8.09 43.22 18.72 100 4.69 25.05 Meerut 15372 55.04 0 0 12556 44.96 27928 100 8238 8238 100 78 1.72 59.52 0 0 1.17 40.48 2.89 100 0.08 2.77 Moradaba 0 50.45 100 87.4 0 45.43 100 1.34 d 52670 49.55 0 53630 106300 67163 58763 9 58763 21.56 54.57 0 17.95 39.51 0.53 4 Muzaffarn 0 48.90 100 100 0 44.97 100 8.21 agar 22779 51.10 0 21798 44577 16931 16931 3107 5.03 55.03 0 4.11 9.14 0.75 0.0 78.74 100 100 0 46.79 100 23.03 Pilibhit 34691 21.23 48 3 128634 163373 71172 71172 44756 24.97 53.21 0 21.96 46.93 10.81 2 Rampur 35087 32.35 0 0 73372 67.65 108459 100 48301 48301 100 36254 14.01 55.79 0 0 11.1 44.21 25.11 100 0.61 2.43 Saharanp 0 41.62 100 98.7 0 40.20 100 16.58 ur 58394 58.38 0 41638 100032 39326 38841 7 17615 14.46 59.80 0 9.72 24.18 4.01 S.R. 0 30.45 100 100 0 38.96 100 30.01 Nagar 57669 69.55 0 25244 82913 53504 53504 53504 21.21 61.04 0 13.54 34.75 10.43 Shahjahan 0 48.22 100 100 0 39.17 100 6.66 pur 124732 51.78 0 116137 240869 106591 106591 106591 36.97 60.83 0 23.81 60.78 4.05 Varanasi 63491 60.26 0 0 41865 39.74 105356 100 52979 52979 100 23120 27.95 59.08 0 0 19.36 40.92 47.31 100 14.06 29.72 4 U.P. 5968499 51.02 95869 0.82 5634412 48.16 11698780 100 5667644 5483434 96.75 2827732 2007.85 56.41 52.75 1.48 1498.64 42.11 3559.23 100 771.34 21.67 7

- 26 - Table-II.2 (C ) Employment generated through NREGA and Its various Socio-Economic characteristics (2008-2009)

Name of Cumulative No. of H.H. issued job cards (Till the reporting month) Cumulat Cumulative No. Cumul Cumulative Person days generate (Till the reporting month) (Fig. in Cum ive No. ive N the of H.H. ative Lakhs) of H.H. provided No. of of H demand comp Districts SCs STs Others Total employment H.H. SCs STs Others Total ed Women ed 10 employ (Till the workin days ment reporting g under (Till (Till the month) NREG repor Count % Count % Count % Count % reportin Count % A Count % Count % Count % Count % Count % g g during mont month) the reporti ng month 100 100 72.0 74.2 18.0 24.2 Azamgarh 174403 61.08 0 0.00 111122 38.92 285525 155977 155977 93535 53.46 0 0 0.00 20.79 28 5 100 1 6 34 100 54.2 45.8 41.3 13.4 32.6 Banda 79686 53.41 0 0.00 69500 46.59 149186 100 74441 74441 18953 22.39 0 0 0.00 18.92 0 1 100 7 1 23 100 60.1 39.8 Barabanki 176877 58.02 0 0.00 128002 41.98 304879 100 161320 161320 39164 40.57 9 0 0.00 26.83 1 67.4 100 0.2 0.30 15 100 62.8 37.1 39.1 15.2 38.9 Chandauli 84504 62.00 0 0.00 51794 38.00 136298 100 56750 56750 56750 24.62 4 0 0.00 14.56 6 8 100 5 2 15 100 60.2 39.7 41.6 15.8 37.9 Chitrakoot 54145 61.97 0 0.00 33231 38.03 87376 100 78835 78835 37825 25.07 1 0 0.00 16.57 9 4 100 2 9 28 100 53.1 46.9 15.2 Fatehpur 108262 46.12 0 0.00 126473 53.88 234735 100 96159 96159 41700 31.22 0 0 0.00 27.58 0 58.8 100 8.99 9 12 100 60.4 39.5 34.0 16.5 Gorakhpur 128168 58.35 0 0.00 91501 41.65 219669 100 67467 67467 15833 20.58 9 0 0.00 13.44 1 2 100 5.64 8 2 100 51.2 48.7 51.6 15.5 30.1 Hamirpur 57765 52.64 0 0.00 51973 47.36 109738 100 72133 72133 32490 26.49 6 0 0.00 25.19 4 8 100 6 1 20 100 52.8 47.1 60.0 Hardoi 204386 54.81 0 0.00 168515 45.19 372901 100 149978 149978 415 31.76 6 0 0.00 28.32 4 8 100 2.09 3.48 16 98.0 56.3 43.6 50.4 18.5 Jalaun 46966 36.57 0 0.00 81452 63.43 128418 100 91294 89486 2 37196 28.47 9 0 0.00 22.02 1 9 100 9.38 8 27 100 65.0 35.0 52.4 13.6 25.9 Jaunpur 144444 64.64 0 0.00 79026 35.36 223470 100 93925 93925 8444 34.11 0 0 0.00 18.37 0 8 100 4 9 16 100 60.0 39.9 34.6 13.8 39.9 Kaushambi 102538 65.79 0 0.00 53330 34.21 155868 100 54155 54155 23895 20.81 1 0 0.00 13.87 9 8 100 7 9 3 100 55.9 42.9 56.5 Kheri 198985 55.43 3528 0.98 156497 43.59 359010 100 109940 109940 3709 31.66 8 0.6 1.06 24.3 6 6 100 0.25 0.44 13 100 59.9 40.0 71.7 Kushi Nagar 139126 48.49 0 0.00 147790 51.51 286916 100 135825 135825 135825 43.07 9 0 0.00 28.72 1 9 100 3.16 4.40 2 100 39.0 51.2 44.9 16.7 37.3 Lalitpur 42637 38.92 13638 12.45 53267 48.63 109542 100 70200 70200 70200 17.54 6 4.34 9.66 23.03 8 1 100 8 6 12 100 52.4 47.5 30.3 31.4 Mahoba 34327 54.38 0 0.00 28794 45.62 63121 100 44111 44111 44111 15.93 5 0 0.00 14.44 5 7 100 9.55 5 17 100 61.4 38.1 57.0 21.0 36.8 Mirzapur 131212 59.76 510 0.23 87855 40.01 219577 100 85877 85877 35143 35.08 8 0.19 0.33 21.79 9 6 100 5 9 29

- 27 - 100 58.3 41.6 43.8 10.4 23.8 Pratapgarh 148846 59.76 0 0.00 100245 40.24 249091 100 84941 84941 84941 25.58 8 0 0.00 18.24 2 2 100 5 5 11 100 60.9 39.0 47.5 15.9 Rae Bareli 210241 59.71 0 0.00 141890 40.29 352131 100 128223 128223 17571 29.02 9 0 0.00 18.56 1 8 100 7.61 9 6 100 61.5 38.4 103.2 Sitapur 235062 60.70 0 0.00 152202 39.30 387264 100 193614 193614 29781 63.54 6 0 0.00 39.67 4 1 100 1.46 1.41 13 100 43.7 37.6 36.2 19.9 103. 38.6 37.2 Sonbhadra 91341 43.30 66093 31.33 53521 25.37 210955 100 105262 105262 25127 45.5 7 7 4 20.78 9 95 100 7 0 40 100 59.9 40.0 73.0 15.0 20.6 Unnao 181385 61.00 0 0.00 115965 39.00 297350 100 112163 112163 72906 43.75 2 0 0.00 29.27 8 2 100 4 0 20 Ambedkar 100 57.2 42.7 25.1 Nagar 78448 40.68 0 0.00 114370 59.32 192818 100 40216 40216 24112 14.4 8 0 0.00 10.74 2 4 100 2.46 9.79 1 100 39.8 60.0 69.7 Bahraich 55810 17.81 543 0.17 257080 82.02 313433 100 128044 128044 51989 27.82 7 0.09 0.13 41.86 0 7 100 5.23 7.50 25 100 37.0 60.2 24.1 Ballia 57814 35.45 2587 1.59 102708 62.97 163109 100 76273 76273 17319 8.92 0 0.67 2.78 14.52 2 1 100 0.92 3.82 8 100 45.0 52.5 39.2 Balrampur 27760 26.38 2578 2.45 74899 71.17 105237 100 62463 62463 36040 17.66 2 0.95 2.42 20.62 6 3 100 2.74 6.98 15 100 61.2 38.7 32.8 18.1 Basti 57837 33.07 0 0.00 117060 66.93 174897 100 67011 67011 14141 20.1 1 0 0.00 12.74 9 4 100 5.95 2 9 100 43.0 57.0 37.9 Budaun 66117 31.48 0 0.00 143944 68.52 210061 100 58709 58709 58709 16.32 0 0 0.00 21.63 0 5 100 0.92 2.42 10 100 23.1 76.8 34.1 Etah 32163 28.19 0 0.00 81919 71.81 114082 100 68101 68101 17806 7.91 6 0 0.00 26.24 4 5 100 0.06 0.18 8 100 34.5 65.4 38811 48.48 0 0.00 41242 51.52 80053 100 39185 39185 5892 5.67 7 0 0.00 10.73 3 16.4 100 0.18 1.10 2 100 60.0 39.9 36.3 25.7 Gonda 131270 60.00 0 0.00 87511 40.00 218781 100 53627 53627 53627 21.83 2 0 0.00 14.54 8 7 100 9.38 9 27 100 60.0 39.9 43.1 16.3 38.0 Jhansi 77273 64.77 0 0.00 42035 35.23 119308 100 57918 57918 57918 25.87 1 0 0.00 17.24 9 1 100 8 0 15 100 61.5 38.4 14.9 Kanpur Dehat 50784 61.25 0 0.00 32133 38.75 82917 100 29501 29501 25128 9.19 5 0 0.00 5.74 5 3 100 0.04 0.27 2 100 48.0 52.0 44.9 15.2 Maharajganj 81303 48.84 700 0.42 84474 50.74 166477 100 83680 83680 40225 21.56 0 0 0.00 23.36 0 2 100 6.86 7 5 100 61.7 38.2 24.2 14.0 Mau 51609 47.19 0 0.00 57756 52.81 109365 100 68430 68430 68430 14.98 5 0 0.00 9.28 5 6 100 3.4 1 9 Sant Kabeer 100 64.1 35.8 31.0 15.5 Nagar 45778 43.08 0 0.00 60477 56.92 106255 100 54340 54340 54340 19.91 2 0 0.00 11.14 8 5 100 4.84 9 16 100 27.5 72.2 24.8 Shravasti 27408 28.81 796 0.84 66916 70.35 95120 100 30654 30654 116 6.86 6 0.06 0.24 17.97 0 9 100 0.57 2.29 2 Siddharth 99.9 31.3 68.6 61.3 61.3 99.9 Nagar 43064 26.30 0 0.00 120682 73.70 163746 100 85591 85551 5 85551 19.24 7 0 0.00 42.1 3 4 100 3 8 32 100 60.8 39.1 56.1 Sultanpur 176927 58.31 0 0.00 126498 41.69 303425 100 99164 99164 9530 34.15 3 0 0.00 21.99 7 4 100 2.48 4.42 5 100 31.6 68.4 11.5 Agra 28781 39.11 0 0.00 44817 60.89 73598 100 35768 35768 35768 3.65 0 0 0.00 7.9 0 5 100 0.17 1.47 1 100 52.6 47.3 11.5 Aligarh 30850 50.41 0 0.00 30351 49.59 61201 100 19263 19263 5335 6.08 4 0 0.00 5.47 6 5 100 1.11 9.61 2 100 56.9 43.0 47.5 11.4 24.0 Allahabad 184506 60.00 0 0.00 123004 40.00 307510 100 106202 106202 106202 27.12 9 0 0.00 20.47 1 9 100 2 0 6 100 58.6 41.3 14.0 Aurriya 60373 60.68 0 0.00 39122 39.32 99495 100 25176 25176 18749 8.27 9 0 0.00 5.82 1 9 100 0.1 0.71 1 100 42.6 57.3 Bagpat 8469 38.82 0 0.00 13347 61.18 21816 100 6321 6321 2816 0.75 1 0 0.00 1.01 9 1.76 100 0.09 5.11

- 28 - 100 38.7 61.2 27.3 Bareilly 79382 42.27 0 0.00 108428 57.73 187810 100 60093 60093 1501 10.59 5 0 0.00 16.74 5 3 100 0.54 1.98 100 63.1 36.8 Bijnour 44781 54.33 120 0.15 37528 45.53 82429 100 47625 47625 17115 10.54 1 0 0.00 6.16 9 16.7 100 0.22 1.32 100 44.5 55.5 Bulandshahar 29324 44.13 0 0.00 37130 55.87 66454 100 31556 31556 31556 2.67 0 0 0.00 3.33 0 6 100 0.19 3.17 C.S. Ji M. 0 Nagar 0 0.00 0 0.00 0 0.00 0 100 0 0 0 0 0.00 0 0.00 0 0.00 0 100 0 0.00 100 61.7 38.2 19.4 Deoria 92784 59.71 455 0.29 62159 40.00 155398 100 59684 59684 23000 12.03 2 0 0.00 7.46 8 9 100 0.64 3.28 100 62.9 37.0 Etawah 57008 54.83 0 0.00 46970 45.17 103978 100 18093 18093 1885 3.72 4 0 0.00 2.19 6 5.91 100 0.03 0.51 99.6 55.6 44.3 17.0 22.0 Faizabad 91130 53.90 0 0.00 77937 46.10 169067 100 43330 43195 9 41514 9.47 4 0 0.00 7.55 6 2 100 3.75 3 1 100 38.3 61.6 Firozabad 20932 50.00 0 0.00 20932 50.00 41864 100 19696 19696 19696 2.82 2 0 0.00 4.54 8 7.36 100 0.02 0.27 Gautam Budh 100 23.8 76.1 Nagar 3226 34.28 0 0.00 6186 65.72 9412 100 1552 1552 1552 0.16 8 0 0.00 0.51 2 0.67 100 0.04 5.97 100 60.0 40.0 16.0 Gazipur 85530 61.18 0 0.00 54278 38.82 139808 100 35218 35218 10126 10.44 0 0 0.00 6.96 0 17.4 100 2.79 3 3 100 56.5 43.4 Ghaziabad 8461 48.89 0 0.00 8845 51.11 17306 100 4814 4814 709 1.12 7 0 0.00 0.86 3 1.98 100 0.15 7.58 J.R. Phule 100 28.3 71.6 Nagar 22143 38.52 0 0.00 35340 61.48 57483 100 23638 23638 4418 2.13 6 0 0.00 5.38 4 7.51 100 0.01 0.13 100 37.3 62.6 Kannauj 33836 41.33 0 0.00 48022 58.67 81858 100 41228 41228 3512 4.22 5 0 0.00 7.08 5 11.3 100 0.01 0.09 Kanpur 100 61.6 38.3 20.7 Nagar 82541 62.46 0 0.00 49619 37.54 132160 100 48182 48182 777 12.78 8 0 0.00 7.94 2 2 100 0.4 1.93 4 Kashiram #DIV Nagar 0 0.00 0 0.00 0 0.00 0 100 0 0 /0! 0 0 0.00 0 0.00 0 0.00 0 100 0 0.00 100 70.9 29.0 19.5 Lucknow 70710 70.00 0 0.00 30301 30.00 101011 100 44998 44998 44998 13.87 1 0 0.00 5.69 9 6 100 1.32 6.75 2 Mahamaya 100 42.8 57.1 Nagar 12817 48.05 0 0.00 13859 51.95 26676 100 14871 14871 1545 3.28 2 0 0.00 4.38 8 7.66 100 0.01 0.13 100 40.8 59.1 Mainpuri 53444 43.34 0 0.00 69874 56.66 123318 100 27500 27500 27500 8.05 6 0 0.00 11.65 4 19.7 100 0.08 0.41 2 100 59.0 40.9 16.0 Mathura 23285 40.09 0 0.00 34797 59.91 58082 100 24060 24060 10319 5.16 4 0 0.00 3.58 6 8.74 100 1.4 2 3 100 62.8 37.2 Meerut 9655 56.68 0 0.00 7378 43.32 17033 100 11293 11293 741 1.3 0 0 0.00 0.77 0 2.07 100 0.03 1.45 100 48.1 51.8 Moradabad 34864 45.53 0 0.00 41712 54.47 76576 100 27672 27672 27672 6.94 9 0 0.00 7.46 1 14.4 100 0.07 0.49 1 Muzaffarnaga 100 54.0 45.9 r 17556 50.45 0 0.00 17246 49.55 34802 100 16987 16987 439 4.56 3 0 0.00 3.88 7 8.44 100 0.74 8.77 1 100 15.4 84.6 15.8 Pilibhit 31547 21.09 48 0.03 118019 78.88 149614 100 31619 31619 15720 2.44 0 0 0.00 13.4 0 4 100 0.22 1.39 22 100 52.8 47.1 10.5 Rampur 34540 32.18 0 0.00 72799 67.82 107339 100 18202 18202 15757 5.58 4 0 0.00 4.98 6 6 100 0.01 0.09 99.8 57.8 42.1 Saharanpur 46706 57.13 0 0.00 35049 42.87 81755 100 32461 32420 7 32420 4.89 7 0 0.00 3.56 3 8.45 100 0.84 9.94 S.Ravidas 100 51.2 48.7 16.5 Nagar 53292 69.57 0 0.00 23313 30.43 76605 100 37051 37051 11374 5.89 2 0 0.00 5.61 8 11.5 100 1.9 2 3 Shahjahanpu 100 50.1 49.8 28.8 r 120627 51.28 0 0.00 114607 48.72 235234 100 62620 62620 36654 14.48 4 0 0.00 14.4 6 8 100 0.31 1.07

- 29 - 100 59.7 40.2 20.3 Varanasi 54489 58.45 0 0.00 38733 41.55 93222 100 36220 36220 36220 9.32 4 0 0.00 6.28 6 15.6 100 3.17 2 4338490 4336466 100 99.9 2272.2 U.P. 5403071 70.72 91596 0.86 5157351 48.42 10652018 100 5 2133977 1216.93 53.56 44.57 1.96 1010.71 44.48 1 411.46 18.11 64

- 30 - Table-II.3(A): District –wise Work Completed /Progress under NREGA (No. of Projects) (2010-11) District Rural Flood Control Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Conservation Proofing Irrigation Gandhi & harvesting Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Agra 3300 1171 82 44 650 245 451 191 533 201 26 53 492 135 403 222 942 397 0 0 6879 2659 Aligarh 13 7860 0 850 1 805 0 763 0 258 0 5206 0 0 0 684 0 194 0 0 14 16620 Allahabad 33 4812 7 3060 14 6178 13 664 7 1513 1 263 1 2449 31 852 7 2542 0 0 114 22333 Ambedkar Nagar 1734 5554 1 70 359 1846 7 739 219 1346 129 4051 16 169 369 1008 63 720 0 0 2897 15503 Auraiya 2948 254 1290 92 468 58 202 5 193 14 937 41 50 6 875 83 19 4 0 0 6982 557 Azamgarh 1381 327 2 74 767 153 4704 2 1007 7 1333 1 3821 52 3597 98 1789 8 3707 0 0 722 34537 Baghpat 42 1046 9 448 8 331 21 293 0 128 0 16 0 85 2 85 3 258 0 0 85 2690 Bahraich 5143 6912 334 1027 1045 2076 137 627 18 103 625 1504 41 191 375 367 180 395 0 0 7898 13202 Ballia 533 9740 1 234 53 1413 17 239 16 795 212 430 11 304 12 501 129 3710 0 0 984 17366 Balrampur 1084 717 9 80 786 125 1882 22 889 3 288 4 2685 11 507 105 405 162 4139 0 0 1229 22430 Banda 95 5126 37 1017 96 3409 43 1162 1 541 0 235 5 842 194 1357 247 2591 0 0 718 16280 Barabanki 2436 9940 597 1850 697 2979 144 1392 526 1394 5603 802 125 670 2042 4229 505 3362 0 0 12675 26618 Bareilly 1269 2202 5 156 1893 313 1763 31 672 37 524 116 118 29 610 128 961 679 3037 0 0 3691 22273 Basti 8361 4539 73 88 1917 1438 203 193 487 427 1473 1372 314 179 739 771 609 706 0 0 14176 9713 Bijnor 5380 4205 272 469 840 981 384 458 45 592 142 322 304 218 1435 1827 104 639 0 0 8906 971 Budaun 1134 1863 7 134 1229 122 1379 52 589 0 12 6 373 28 279 110 1028 755 2940 0 0 3070 19176 Bulandsha hr 2768 790 532 121 489 264 550 238 230 143 2806 277 123 71 514 178 86 60 0 0 8098 2142 Chandauli 546 6619 10 839 161 2238 1 733 577 3079 0 165 4 1165 30 889 48 1869 0 0 1377 17596 C.P.S.M. Nagar 1712 4797 432 1033 508 2136 51 478 393 253 227 324 168 385 1127 1516 1207 2634 1 0 5826 13556 Chitrakoot 7 1623 0 117 18 3162 8 1353 1 69 2 791 0 149 37 1712 2 687 0 0 75 9663 Deoria 820 9286 15 186 332 2663 79 1036 75 775 54 525 67 227 259 848 222 1364 0 0 1923 16910 Etah 4509 3762 241 302 98 157 46 99 52 138 865 1270 118 316 86 234 69 68 0 2 6084 6348 Etawah 95 2863 62 1791 23 750 9 412 61 529 413 2669 2 104 8 438 8 519 0 0 681 10075 Faizabad 1408 3994 98 161 643 2067 164 1273 285 993 311 2456 96 291 1378 2158 160 967 0 0 4543 14360 Farrukhab ad 289 4769 0 8 26 669 0 7 14 231 14 836 3 140 58 1031 42 1190 0 0 446 888 Fatehpur 1909 2403 496 539 682 2241 13 181 61 194 67 306 32 114 354 1430 198 2115 0 0 3812 9523 Firozabad 197 3862 13 232 17 496 60 709 32 603 747 399 16 218 2 670 5 79 0 2 1089 7270 Gautam 0 112 0 2 0 36 1 111 0 63 0 341 0 3 0 139 0 56 0 0 1 863

- 31 - Buddha Nagar Ghaziaba d 185 51 98 9 98 45 177 49 95 66 799 254 43 16 7 5 97 9 0 0 1599 504 2296 5015 20 46 464 1584 60 376 117 401 150 1346 95 223 570 900 356 1258 0 0 4128 11149 Gonda 1869 5388 116 445 398 1204 82 505 2 47 51 60 211 470 560 686 1065 3670 0 0 4354 12475 Gorakhpur 1169 1176 2 65 985 132 2937 50 862 36 902 481 4617 47 804 121 1606 7 493 0 0 2115 24898 Hamirpur 107 1670 22 751 269 3892 30 809 18 496 4 736 10 816 35 666 0 99 0 0 495 9935 Hardoi 1021 5492 9 424 1364 587 1475 41 61 34 645 2335 4294 165 154 606 662 214 430 0 0 9898 19304 Jalaun 80 6925 11 505 51 5745 6 1071 24 1303 0 29 16 397 19 1390 48 2087 0 0 255 19452 Jaunpur 2308 9797 166 639 333 2548 32 514 350 1816 1380 4215 66 485 821 2745 468 1747 0 0 5924 24506 Jhansi 173 2805 14 135 423 6682 51 1878 13 944 73 1346 52 734 508 3283 48 399 0 0 1355 18206 Jyotiba Phoole Nagar 3278 2395 49 61 270 366 1211 807 28 98 229 149 218 304 2893 1166 696 1288 0 0 8872 6634 Kannauj 54 7652 0 244 4 404 0 98 10 1580 0 52 3 262 10 812 1 924 0 0 82 12028 Kanpur Dehat 2191 2968 215 400 626 1263 7 27 315 314 6479 5566 218 318 138 694 3807 3469 0 0 13996 15019 Kanpur Nagar 208 6647 32 1364 35 1750 7 362 54 265 180 813 4 233 1 379 34 2452 0 0 555 14265 Kashiram Nagar 764 4867 42 1153 53 381 6 267 3 157 943 989 66 451 191 568 10 186 0 0 2078 9019 Kaushamb i 605 1027 130 233 318 776 2 34 50 176 67 149 61 164 518 465 194 473 0 4 1945 350 Kheri 2912 5092 660 724 1046 2396 135 471 38 235 2354 3105 197 946 4482 4089 1679 1466 0 0 13503 18524 Kushi 1123 Nagar 11150 7 249 769 832 2277 908 1341 610 2147 774 4527 348 424 2792 1623 531 638 0 3 18194 24986 Lalitpur 93 466 1 14 1145 7516 352 1210 324 989 15 419 185 1001 198 1213 40 441 0 0 2353 13269 Lucknow 4371 1323 641 353 873 419 274 113 341 146 152 106 328 201 1296 326 2018 716 0 0 10294 3703 Mahamay a Nagar 60 6685 0 21 0 507 0 5 0 174 0 734 1 157 0 248 0 178 0 0 61 8709 Maharajga nj 3605 6523 288 644 839 2162 151 513 568 803 1404 2893 353 562 165 417 394 639 0 0 7767 15156 Mahoba 41 896 20 154 35 1496 2 1040 2 115 8 543 5 815 177 1126 89 1311 0 0 379 7496 Mainpuri 1713 4858 475 2066 100 574 6 273 248 659 438 438 45 417 1272 1730 460 1223 0 0 4757 12238 Mathura 3 3277 0 1508 1 825 0 967 0 485 0 800 0 5 0 226 0 29 0 0 4 8122 Mau 2586 5273 4 15 318 1504 44 315 165 337 85 24 246 1223 1559 895 271 2303 0 0 5278 11889 Meerut 244 85 178 52 111 32 296 20 94 4 619 40 22 18 72 23 63 7 0 0 1699 28 Mirzapur 8 4428 0 320 28 3496 0 316 4 1181 0 193 7 1630 22 2339 0 330 0 0 69 14233 Moradaba 4681 6390 201 224 488 1210 643 987 5 75 370 1161 248 883 380 618 642 997 0 0 7658 12545

- 32 - d Muzaffarn agar 355 1238 123 405 113 361 26 293 58 358 137 350 20 22 58 156 898 1243 0 0 1788 4426 Pilibhit 4885 5675 452 997 345 1143 77 134 48 340 54 602 176 731 88 532 231 1936 0 236 6356 12326 Pratapgar h 2354 6662 302 849 474 2093 15 303 194 1398 125 983 74 704 976 2514 864 3562 0 0 5378 19068 Rae Bareli 2092 3332 778 723 761 1141 177 245 647 648 441 692 135 265 2030 1946 1350 949 0 0 8411 994 Rampur 1905 2768 129 227 153 297 263 350 109 119 332 372 257 297 370 424 364 630 0 0 3882 5484 Saharanp ur 1873 4498 273 719 257 733 267 638 50 251 513 2030 34 177 227 849 154 491 0 0 3648 10386 Sant Kabeer Nagar 4425 2756 396 409 1714 1110 267 223 793 657 4519 2056 4 17 677 221 203 174 0 0 12998 7623 Sant Ravidas Nagar 1098 1723 9 188 295 1162 127 215 319 659 4 14 60 259 155 566 80 537 0 0 2147 5323 Shahjahan pur 1734 3995 332 353 399 689 527 288 278 483 703 1469 297 638 2464 2311 1087 2939 0 0 7821 13165 Shravasti 5446 412 238 28 465 142 123 36 7 0 1143 90 113 15 95 21 256 10 0 0 7886 754 Siddharth Nagar 1120 8362 78 294 276 1987 31 345 67 169 98 4161 70 592 75 532 49 618 0 0 1864 17060 Sitapur 1209 2455 7295 351 2358 913 4075 104 477 46 391 1609 9 101 536 1509 4866 145 1731 0 0 7233 33828 Sonbhadr a 402 2578 6 24 499 3961 34 569 112 381 136 656 92 292 805 3539 7 277 0 0 2093 12277 Sultanpur 111 5472 29 1116 27 2213 2 723 1 495 12 352 5 1028 51 2448 31 2169 0 0 269 16016 Unnao 3694 7630 784 1402 1145 3142 343 415 458 1308 1096 750 313 932 2244 3502 3375 4498 0 0 13452 23579 Varanasi 0 7328 0 997 0 1811 1 1031 0 743 0 249 0 435 0 585 0 839 0 0 1 14018 Total 1355 3621 1344 4554 2757 1298 3808 1060 4149 4509 9817 3447 4200 8332 2878 9281 3198 89 17 7 2 1 92 9668 9 8 9 3 4 7119 7 8 4 5 4 1 247 89 926175

- 33 - Table-II.3(B): District –wise Work Completed /Progress under NREGA (No. of Projects) (2009-10) District Rural Flood Control Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Conservation Proofing Irrigation Development Gandhi & harvesting Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Agra 10 2624 0 57 1 674 0 479 0 414 0 3 1 462 0 376 1 735 0 0 13 5824 ligarh 2 3756 0 369 0 582 0 468 0 107 0 0 0 0 0 26 0 85 0 0 2 5393 Allahabad 3 2050 5 2127 1 4781 0 271 0 863 0 45 1 1812 0 175 0 1770 0 0 10 13894 Ambedkar 0 2459 0 37 1 1338 0 430 0 707 0 831 0 105 0 112 0 514 0 0 1 6533 Nagar Auraiya 1 2349 0 1048 0 664 0 10 0 96 0 83 0 111 0 229 0 18 0 0 1 4608 Azamgarh 14 8694 0 410 1 3060 0 576 0 785 0 569 0 2377 0 555 0 1365 0 0 15 18391 Baghpat 0 572 0 276 0 295 0 71 0 87 0 9 0 70 0 18 0 130 0 0 0 1528 Bahraich 0 7441 0 1019 0 2261 0 457 0 21 0 911 0 171 0 489 0 347 0 0 0 13117 Ballia 1 5304 0 28 0 632 0 19 0 122 0 57 0 84 0 18 0 2440 0 0 1 8704 Balrampur 0 6010 0 319 0 1135 0 456 0 173 0 1975 0 400 0 133 0 2476 0 0 0 13077 Banda 10 2957 0 661 0 2926 0 660 0 195 1 217 0 757 0 297 1 1207 0 0 12 9877 Barabanki 202 7121 66 1439 49 2241 3 665 11 1021 43 689 0 569 137 3877 25 2825 0 0 536 20447 Bareilly 11 1035 3 1604 0 1688 0 617 0 373 0 78 0 370 0 837 0 410 0 0 14 16330 3 Basti 63 7489 0 114 6 2361 0 84 0 489 2 297 1 350 5 706 2 965 0 0 79 12855 Bijnor 97 6983 0 378 9 1272 3 310 0 189 0 117 18 448 2 2379 0 371 0 0 129 12447 Budaun 3 7219 0 947 1 1166 0 397 0 9 0 95 0 258 0 518 2 1756 0 0 6 12365 Bulandsh 0 2567 0 801 0 1152 0 928 0 275 0 228 0 207 0 803 0 57 0 0 0 7018 ahr Chandauli 1 4052 0 650 0 1571 0 483 0 1424 0 26 0 756 0 310 0 538 0 0 1 9810 Chitrakoot 0 1296 0 67 0 2798 0 705 0 45 0 610 0 57 1 382 0 634 0 0 1 6594 Deoria 0 5642 0 127 0 2346 0 958 0 462 0 272 0 186 0 470 0 344 0 0 0 10807 Etah 0 4496 0 205 0 70 0 32 0 97 0 90 0 295 0 145 0 104 0 0 0 5534 Etawah 25 1556 24 879 7 471 0 254 0 217 0 115 0 97 0 203 1 241 0 0 57 4033 Faizabad 0 2691 0 119 0 1832 0 883 0 842 0 535 0 239 0 1402 0 587 0 0 0 9130 Farrukhab 208 2516 0 3 19 495 0 7 9 51 0 43 10 74 60 259 23 536 0 0 329 3984 ad Fatehpur 13 2109 9 704 7 2475 4 160 6 189 1 188 0 129 31 2130 24 2231 0 0 95 10315 Firozabad 2 2235 0 155 0 349 0 606 0 393 0 18 0 104 0 235 0 55 0 0 2 4150

- 34 -

District Name Rural Flood Control Water Drought Micro Provision Renovation Land Any Other Rajive Total Connectivity Conservation Proofing Irrigation Gandhi & harvesting Gautam 0 96 0 2 0 30 0 17 0 32 0 80 0 1 0 90 0 12 0 0 0 36 Buddha Nagar Ghaziabad 1 313 0 130 0 562 0 251 0 145 0 504 0 119 0 1 0 62 0 0 1 208 Ghazipur 96 3743 0 18 19 920 8 276 27 185 0 0 10 161 18 80 22 773 0 0 200 615 Gonda 0 4671 0 310 0 976 2 274 0 17 0 41 0 584 0 227 0 866 0 0 2 796 Gorakhpur 0 7297 0 596 1 2088 0 577 0 532 0 549 0 440 0 1104 0 130 0 0 1 1331 Hamirpur 0 1283 0 509 0 2701 0 520 0 309 0 349 1 701 0 122 0 61 0 0 1 655 Hardoi 659 1284 26 954 119 1951 9 32 1 237 26 614 66 172 38 957 0 107 0 0 944 1786 1 Jalaun 1 4185 0 318 1 3738 0 559 0 424 0 23 0 274 0 561 0 1071 0 0 2 1115 Jaunpur 1 6274 0 486 0 2677 0 145 0 967 0 37 0 624 0 552 0 2267 0 0 1 1402 Jhansi 164 1510 3 57 763 5629 78 1144 70 265 85 1082 34 447 66 1166 13 190 0 0 1276 1149 Jyotiba 106 2634 2 74 43 519 182 946 0 90 0 364 24 224 20 691 170 850 0 0 547 639 Phoole Nagar Kannauj 34 4730 0 115 2 338 0 28 12 1037 0 14 1 239 0 177 0 165 0 0 49 684 Kanpur 39 2891 0 202 1 1421 0 18 0 170 1 1217 1 478 0 181 12 2477 0 0 54 2001 Dehat 2 Kanpur 0 4928 0 796 0 1190 0 243 0 158 0 41 0 201 0 205 0 2044 0 0 0 980 Nagar Kashiram 0 2767 0 563 1 331 0 112 0 83 6 466 0 446 0 176 0 89 0 0 7 503 Nagar Kaushambi 16 1285 1 285 8 797 0 9 2 140 2 235 2 206 4 363 11 522 0 0 46 384 Kheri 0 5187 0 843 0 2583 0 270 0 120 0 964 0 1073 1 4386 0 1158 0 0 1 1658 Kushi Nagar 0 1005 0 622 0 2060 0 1212 0 1721 0 273 0 398 0 698 0 473 0 0 0 1751 3 Lalitpur 0 337 0 7 0 6531 0 1215 0 904 0 381 0 1042 0 144 0 275 0 0 0 1083 Lucknow 0 3823 0 725 0 922 0 284 0 223 0 152 0 446 0 501 0 1502 0 0 0 857 Mahamaya 0 4332 0 18 0 168 0 4 0 68 0 3 0 44 0 55 0 170 0 0 0 486 Nagar

- 35 -

District Rural Flood Control Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Conservation Proofing Irrigation Gandhi & harvesting Maharajg 0 5116 0 508 1 2537 0 515 0 1037 0 335 0 362 0 413 0 486 0 0 1 11309 anj Mahoba 0 531 0 100 0 1144 0 664 0 61 0 402 0 754 0 254 0 947 0 0 0 4857 Mainpuri 6 3632 0 1202 0 403 0 208 0 415 0 10 0 283 1 777 3 1003 0 0 10 7933 Mathura 0 1832 0 616 0 591 0 647 0 266 0 2 0 5 0 107 0 13 0 0 0 4079 Mau 0 4551 0 14 0 1128 0 216 0 181 0 20 0 1224 0 639 0 811 0 0 0 8784 Meerut 9 271 2 230 157 547 0 101 0 148 0 119 1 150 0 20 0 76 0 0 169 1662 Mirzapur 0 2396 0 151 0 2655 0 154 0 538 0 106 0 1043 0 695 0 231 0 0 0 7969 Moradabad 72 7586 0 323 10 1773 13 1004 0 36 9 490 18 807 0 685 5 1243 0 0 127 13947 Muzaffarn 0 1260 0 546 0 505 0 270 0 381 0 102 0 20 0 154 0 959 0 0 0 4197 agar Pilibhit 1 6423 0 1108 2 811 0 102 0 133 0 21 0 455 0 249 0 480 0 0 3 9782 Pratapgarh 0 5727 0 800 0 1649 0 68 0 733 0 451 1 493 0 1023 0 2939 0 0 1 13883 Rae Bareli 14 7436 10 2137 2 2495 0 593 6 1388 0 206 0 722 0 3862 13 2185 0 0 45 21024 Rampur 0 3398 0 265 0 414 0 435 0 171 0 404 0 545 0 497 0 371 0 0 0 6500 Saharanpur 0 3439 0 551 0 815 0 330 0 161 0 972 0 134 0 638 0 261 0 0 0 7301 Sant Kabeer 0 4009 0 509 0 2021 0 157 0 885 0 476 0 5 0 330 0 10 0 0 0 8402 Nagar Sant Ravidas 0 1693 0 171 0 1198 0 493 0 668 0 6 0 70 0 226 0 312 0 0 0 4837 Nagar Shahjaha 10 3814 0 521 5 820 0 546 0 405 0 651 0 719 0 3020 0 2447 0 0 15 12943 npur Shravasti 0 3836 0 182 0 338 0 113 0 4 0 132 0 118 0 39 0 239 0 0 0 12943 Siddharth 2 6428 0 280 0 1719 0 89 0 127 0 448 0 671 0 267 0 356 0 0 2 5001 Nagar Sitapur 103 6099 41 1950 85 4854 2 338 0 253 84 2528 2 524 691 4425 16 1944 0 0 1024 10385 Sonbhadr 8 1789 0 14 0 4183 2 411 1 230 1 671 3 331 3 318 0 244 0 0 18 22915 a Sultanpur 4 5206 3 1194 7 2587 2 411 1 230 1 671 3 331 0 609 1 791 0 0 15 12268 Unnao 6 6587 1 1216 7 2925 1 360 0 636 0 164 4 905 1 3489 2 2853 0 0 22 19135 Varanasi 0 4352 0 474 0 1151 2 815 0 586 0 73 0 340 0 285 0 604 0 0 2 8680 Total 2018 2951 196 3723 1336 1180 309 2848 145 2708 261 3525 199 3044 1079 5254 347 5981 0 0 5890 684019 32 5 30 3 9 8 0 2 0

- 36 - Table-II.3(C): District –wise Work Completed /Progress under NREGA (No. of Projects) (2008-09) District Rural Flood Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Control Conservation Proofing Irrigation Gandhi & harvesting Com. Ongo Co Ongo Com. Ongo Com. Ongo Com Ongo Com Ongo Com. Ongo Co Ongo Com. Ongo Co Ongo Co Ongo m. . . m. m. m. AGRA 22 691 0 13 3 120 6 237 1 155 1 0 2 64 5 113 1 204 0 0 41 1597 ALIGARH 0 1790 0 152 0 121 0 79 0 28 0 0 0 0 0 3 0 49 0 0 0 2222 ALLAHABAD 18 415 87 1264 358 2515 17 140 4 423 1 7 8 516 1 70 59 454 0 0 55 5804 3 AMBEDKA 0 1167 0 28 0 573 0 180 0 402 0 5 0 54 0 60 0 166 0 0 0 2635 R NAGAR AURAIYA 0 289 0 64 0 186 0 0 0 9 0 0 0 9 0 32 0 0 0 0 0 589 AZAMGARH 0 2846 0 111 0 120 0 292 0 254 0 2 0 967 0 108 0 225 0 0 0 6012 7 BAGHPAT 0 156 0 103 0 84 0 54 0 50 0 1 0 0 0 4 0 42 0 0 0 494 BAHRAICH 0 3442 0 524 1 124 0 203 0 2 0 152 0 91 0 185 0 186 0 0 1 6032 7 BALLIA 0 1963 0 1 0 127 0 1 0 18 0 6 0 17 0 0 1 923 0 0 1 3056 BALRAMPUR 0 2695 1 214 0 507 0 285 0 64 0 107 0 39 0 55 0 922 0 0 1 4888 BANDA 0 1132 0 269 0 200 0 505 0 99 0 55 0 549 0 91 0 423 0 0 0 5132 9 BARABANKI 1 3486 0 571 0 136 0 201 0 436 0 32 0 296 0 1663 0 785 0 0 1 8830 0 BAREILLY 2 3845 0 557 0 500 0 412 0 12 0 3 0 87 0 282 0 75 0 0 2 5773 BASTI 4 1593 1 98 0 444 0 39 0 166 4 9 0 29 3 102 2 7 0 0 14 2487 BIJNOR 131 1982 0 78 4 248 5 173 0 0 0 4 1 143 0 1485 0 104 0 0 14 4217 1 BUDAUN 1 3072 0 541 0 293 0 99 0 4 0 1 0 100 0 48 0 117 0 0 1 4275 BULANDSH 0 623 0 344 0 301 0 676 0 83 0 25 0 38 0 237 0 9 0 0 0 2336 AHR CHANDAULI 0 1687 0 406 0 767 0 98 0 293 0 6 0 424 0 73 0 134 0 0 0 3888 CHITRAKOOT 0 716 0 25 0 205 0 498 0 20 1 487 0 19 0 158 1 341 0 0 2 4319 5 DEORIA 0 2506 0 49 0 919 0 864 0 234 0 14 0 20 0 136 0 21 0 0 0 4763

- 37 - ETAH 0 1011 0 86 0 1 0 18 0 10 0 0 0 63 0 15 0 12 0 0 0 1216 ETAWAH 0 327 0 182 0 149 0 50 0 32 0 4 0 7 0 3 0 7 0 0 0 761

District Rural Flood Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Control Conservation Proofing Irrigation Gandhi & harvesting Com. Ongo Co Ongo Com. Ongo Com. Ongo Com Ongo Com Ongo Com. Ongo Co Ongo Com. Ongo Co Ongo Com. Ongo m. . . m. m. FAIZABAD 0 930 0 35 0 731 0 514 0 387 0 16 0 37 0 209 0 7 0 0 0 2866 FARRUKHA 244 877 0 0 15 111 0 5 17 19 0 1 7 34 70 73 14 62 0 0 367 1182 BAD FATEHPUR 0 246 1 251 4 906 0 38 0 45 0 30 1 29 3 427 6 883 0 0 15 2855 FIROZABAD 0 300 1 48 1 83 0 428 0 168 0 5 0 17 0 41 0 1 0 0 2 1091 G.B.NAGAR 0 76 0 2 0 8 0 11 0 20 0 0 0 1 0 0 0 0 0 0 0 118 GHAZIABAD 0 215 0 57 0 132 0 177 0 82 0 3 0 25 0 1 0 2 0 0 0 694 GHAZIPUR 0 829 0 1 0 412 0 177 0 43 0 0 0 32 0 15 0 299 0 0 0 1808 GONDA 0 1756 0 81 0 394 0 86 0 1 0 1 0 258 0 57 0 176 0 0 0 2810 GORAKHPUR 0 2744 0 178 0 668 0 264 0 246 0 80 0 62 0 432 0 75 0 0 0 4749 HAMIRPUR 0 665 0 317 0 143 0 386 0 108 0 169 0 464 0 52 0 18 0 0 0 3616 7 HARDOI 135 6080 7 281 6 565 7 21 0 73 0 0 3 79 0 101 0 40 0 0 158 7240 JALAUN 0 1174 0 95 0 173 0 328 0 72 0 8 0 66 1 204 0 361 0 0 1 4039 1 JAUNPUR 0 1810 0 88 0 124 0 41 1 347 0 3 0 226 0 115 0 291 0 0 1 4169 8 JHANSI 0 352 0 8 0 447 0 860 0 146 0 670 0 105 0 241 0 29 0 0 0 6890 9 J. P. 57 756 0 19 17 204 27 285 1 13 0 0 3 49 7 136 43 329 0 0 155 1791 NAGAR KANNAUJ 0 1865 0 7 0 110 0 12 0 467 0 4 0 86 0 38 0 8 0 0 0 2597 KANPUR 0 742 0 46 0 594 0 0 0 11 0 556 0 105 0 33 0 35 0 0 0 2122 DEHAT KANPUR 0 1950 0 330 0 299 0 78 0 23 0 1 0 60 0 60 0 564 0 0 0 3365 NAGAR KASHIRAM 0 611 0 117 0 6 0 18 0 1 0 0 0 38 0 10 0 16 0 0 0 817

- 38 - NAGAR KAUSHAMBI 57 434 5 63 2 274 0 2 0 49 13 89 11 69 1 57 3 86 0 0 92 1123 KHERI 0 1899 0 383 0 985 0 80 0 36 0 129 0 653 2 1340 0 220 0 0 2 5725

District Rural Flood Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Control Conservation Proofing Irrigation Gandhi & harvesting Com. Ongo Co Ongo Com. Ongo Com. Ongo Com Ongo Com Ongo Com. Ongo Co Ongo Com. Ongo Co Ongo Com. Ongo m. . . m. m. KUSHI 0 4521 0 218 0 747 0 567 0 1048 0 51 0 73 0 359 0 84 0 0 0 7668 NAGAR LALITPUR 0 89 0 5 0 327 0 811 0 143 0 193 0 545 0 25 0 32 0 0 0 5117 4 LUCKNOW 0 1803 0 345 0 239 0 146 0 77 0 29 0 158 0 65 0 295 0 0 0 3157 MAHAMAYA 0 1402 0 2 0 26 0 0 0 0 0 0 0 0 0 6 0 34 0 0 0 1470 NAGAR MAHARAJG 0 2325 0 128 0 119 0 269 0 504 0 46 0 62 0 184 0 136 0 0 0 4851 ANJ 7 MAHOBA 0 219 0 23 0 662 0 239 0 31 0 227 1 511 0 42 0 255 0 0 1 2209 MAINPURI 0 646 0 407 0 3 0 329 0 91 0 0 0 204 0 28 0 25 0 0 0 1733 MATHURA 0 669 0 261 0 128 0 364 0 140 0 0 0 2 0 39 0 14 0 0 0 1617 MAU 0 1443 0 7 0 394 0 147 0 50 0 10 0 405 0 100 0 83 0 0 0 2639 MEERUT 16 173 1 153 20 147 0 44 0 74 0 5 0 122 3 5 0 11 0 0 40 734 MIRZAPUR 0 867 0 37 0 140 0 39 0 146 0 17 0 290 1 381 0 57 0 0 1 3238 4 MORADABAD 0 2346 0 122 0 360 0 489 0 7 0 78 0 308 0 291 0 385 0 0 0 4386 MUZAFFAR 0 540 0 273 0 146 0 182 0 239 0 1 0 7 0 24 0 677 0 0 0 2089 NAGAR PILIBHIT 0 2258 0 652 0 290 0 62 0 31 0 0 0 32 0 81 0 42 0 0 0 3448 PRATAPGARH 0 2678 0 461 0 961 0 43 0 340 0 49 0 226 0 372 1 1164 0 0 1 6294 RAE BARELI 3 3183 0 103 0 719 0 482 0 342 0 51 0 135 0 1235 0 131 0 0 3 7315 7 RAMPUR 2 1118 0 117 0 142 0 220 0 32 0 18 0 214 0 132 0 50 0 0 2 2043 SAHARANPUR 0 1014 0 254 0 159 0 71 0 26 0 1 0 15 0 237 0 19 0 0 0 1796 S. K. 0 1393 0 168 0 742 0 44 0 317 0 30 0 3 0 117 0 4 0 0 0 2818 NAGAR

- 39 - S. R. 0 468 0 58 0 548 0 175 0 228 0 2 0 17 0 54 0 117 0 0 0 1667 NAGAR SHAHJAHA 1 1649 0 247 1 306 0 300 0 112 0 16 0 234 0 1118 0 276 0 0 2 4258 NPUR

District Rural Flood Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Control Conservation Proofing Irrigation Gandhi & harvesting Com. Ongo Co Ongo Com. Ongo Com. Ongo Com Ongo Com Ongo Com. Ongo Co Ongo Com. Ongo Co Ongo Com. Ong m. . . m. m. o SHRAVASTI 0 1749 0 59 0 64 0 77 0 0 0 3 0 23 0 5 0 99 0 0 0 207 9 SIDDHART 0 4166 0 211 0 964 0 53 0 63 0 40 0 429 0 31 0 122 0 0 0 607 H NAGAR 9 SITAPUR 1 2418 0 710 0 219 0 186 0 97 0 13 0 103 0 1796 0 948 0 0 1 846 8 9 SONBHADRA 0 865 0 6 0 262 0 163 0 60 0 325 0 183 0 29 0 15 0 0 0 427 9 5 SULTANPUR 0 2190 0 485 0 891 0 569 0 13 0 2 0 65 0 138 0 201 0 0 0 455 4 UNNAO 0 3423 0 436 0 151 0 145 0 301 0 50 0 637 0 1170 0 1307 0 0 0 898 1 0 VARANASI 8 1445 0 86 3 476 2 576 1 269 0 20 0 116 1 148 0 216 0 0 15 335 2 Total 703 11080 10 150 435 524 64 157 25 9932 20 3962 37 111 98 16777 131 15507 0 0 1617 251 5 4 55 37 07 46 328

- 40 - Table II.4(A): District –wise Work Completed /Progress under NREGA Expenditure (2010-11) (in Lakhs) District Rural Flood Control Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connecivity Conservation Proofing Irrigation Development Gandhi & harvesting Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. On Com. Ongo go Agra 1510.9 676.5 355.9 247.0 130.1 113.4 237.7 155.6 381.7 174.0 3 4 54.45 7.34 4 6 9 53.26 6 62.51 2.03 3.40 3 48.82 9 80.43 2 7 0 0 2942.14 1353.42 Aligarh 4055. 480.4 426.9 239.4 135.6 197.4 132.2 3.99 66 0 2 3.73 8 0 2 0 9 0 4 0 0 0 0 0 73.86 0 0 7.714 5741.65 Allahabad 2057. 731.3 2269. 250.8 397.1 924.2 283.7 408.1 19.52 60 8.34 6 20.02 81 1.65 2 0.70 1 0.18 33.50 2.85 7 8.06 4 2.727 5 0 0 64.05 7356.36 Ambedkar 1290.7 2184. 375.2 765.9 282.0 178.3 443.6 169.2 108.5 164.7 159.8 Nagar 7 36 0.23 3.84 5 2 7.189 0 0 3 5.10 6 14.93 44.84 4 9 41.00 0 0 0 2021.28 4218.42 Auraiya 2144.2 146.0 698.2 343.5 152.7 161.8 417.1 3 5 2 50.03 8 15.38 7 12.65 5 68.56 19.66 0.54 35.15 6.30 5 18.42 5.67 2.64 0 0 3978.26 320.57 Azamgarh 4104. 463.3 252.2 3662. 206.2 394.1 382.3 1235. 405.6 495.0 11348.6 186.81 36 60.27 0 3 07 0 1 11.81 1 0 8 43.83 64 16.15 1 7.62 0 0 0 578.71 6 Baghpat 180.3 17.63 7 1.57 68.51 5.16 54.41 2.22 56.51 0 48.88 0 0.48 0.42 15.72 0.21 14.86 0.46 87.14 0 0 27.66 526.89 Bahraich 3558.7 1813. 210.2 235.1 782.2 704.6 148.7 128.8 103.7 5 27 9 7 4 8 56.97 0 33.46 9 66.36 32.58 24.34 40.50 8 56.87 80.67 47.50 0 0 4916.85 3208.16 Ballia 4641. 135.5 1486. 117.8 158.4 232.5 238.2 1063. 254.01 50 0 4 88.89 08 5.01 2 3.58 3 10.30 20.14 17.60 9 3.13 6 40.26 70 0 0 422.77 8104.04 Balrampur 3802. 106.7 533.0 188.0 1145. 230.4 116.1 141.6 143.6 1089. 677.23 13 3 4 1 25 8.59 9 2.89 93.87 2.16 57.71 16.16 6 41.05 7 0 79 0 0 1186.41 7210.10 Banda 4094. 482.8 795.3 268.1 241.3 148.1 144.9 550.0 168.7 889.9 145.56 63 43.41 7 73.09 5 16.17 3 0.21 3 0 12.59 9.35 7 1 1 2 9 0 0 601.40 7483.08 Barabanki 2046.1 3389. 448.2 715.9 1011. 1800. 403.6 188.7 920.3 227.5 231.2 669.7 497.5 171.2 775.4 5 42 4 7 26 57 9.30 7 6 0 1 38.20 99.30 3 9 8 7 9 0 0 4871.55 8772.43 Bareilly 1010.7 3712. 720.2 165.3 832.5 420.2 167.9 343.5 0 31 78.54 1 9 0 10.63 79.22 5.72 60.01 15.39 4.78 27.71 1 36.97 77.55 7 0 0 0 1519.02 6250.29 Basti 3874.6 1264. 1283. 799.1 165.5 101.4 322.2 228.1 365.4 239.8 162.9 129.9 7 03 24.46 26.90 24 5 8 8 3 0 69.62 38.66 9 58.56 0 2 9 89.56 0 0 6475.07 2769.37 Bijnor 1263.9 1231. 119.3 279.3 315.6 576.7 245.8 315.6 161.1 232.5 106.5 3 54 2 6 9 3 83.05 6 23.56 1 8.09 21.92 91.70 81.93 1 5 8.00 7 0 0 2074.44 3092.07 Budaun 1083.0 5411. 584.8 529.0 161.8 130.7 306.8 101.8 463.3 6 73 76.07 5 57.35 9 11.19 9 0 6.61 1.14 17.23 10.55 8 36.09 5 2 8 0 0 1377.28 7612.41 Bulandshah 1321.9 222.2 116.6 181.9 r 5 2 3 23.23 5 75.87 51.95 29.06 83.96 67.06 88.66 2.07 58.92 24.70 93.82 23.13 41.22 5.99 0 0 2039.05 473.34 Chandauli 3071. 153.9 791.6 210.6 677.3 1555. 396.1 269.5 1428. 218.06 21 0 8 54.26 8 0 7 9 34 0 20.15 2.73 5 9.36 3 9.43 48 0 0 971.22 7897.19 Chitrakoot 2407. 113.1 483.6 431.2 1704. 119.9 153.8 278.3 220.2 605.08 40 7 2 5 26 14.93 86.28 58.34 2 4.95 7.67 31.66 92.13 0 0 79.48 2 9.27 0 1501.92 5399.79 Deoria 1106. 1089. 704.9 343.9 729.5 178.3 8.37 69 0 86.05 15.58 97 2.31 6 0.38 73.23 0.99 90.45 0 7 18.59 3 1.88 8 0 0 49.00 4403.23 Etah 2914. 262.1 1375. 113.3 207.8 161.4 130.1 691.3 619.67 81 11.37 55.81 3 30 38.51 1 80.99 9 13.24 35.45 55.46 35.94 88.48 6 1 9 0 0 1299.97 5591.30 Etawah 2219.5 1737. 104.4 121.7 100.8 112.4 7 92 5 2 74.02 2 30.12 99.16 68.52 48.06 82.89 71.08 98.27 3 34.88 79.65 20.98 45.93 0 0 2733.68 2416.77 Faizabad 1311. 383.6 415.8 211.9 267.9 139.9 316.1 168.3 42.06 03 14.94 9 8.27 5 5.33 9 19.52 9 18.43 2 0.87 11.67 0.76 5 1.30 3 0 0 111.48 3226.61

- 41 - District Rural Flood Control Water Con. & Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity harvesting Proofing Irrigation Development Gandhi Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com Ongo Com. Ongo . Farrukhaba 1710. 209.8 678.1 1880. 766.4 125.2 504.7 122.8 252.5 233.9 348.5 199.0 d 897.81 16 60.57 5 6 89 55.76 5 8 8 28.45 86.11 8 2 1 1 20.72 4 0 0 2223.54 5958.31 Fatehpur 2125. 369.9 235.1 357.8 362.5 236.91 00 0 3.84 21.09 2 0 0 6.20 0 2.03 64.61 2.71 82.01 17.49 8 6.77 1 0 0 293.20 3600.86 Firozabad 1970.4 2303. 389.4 271.2 814.8 1613. 133.1 660.7 5 75 6 8 5 56 5.29 90.90 18.08 47.91 20.75 36.80 12.76 41.10 75.89 44.83 8 4 0 0 3440.71 5110.86 Gautam Buddha 1534. 229.8 120.8 176.7 377.2 8.23 Nagar 108.38 75 2.71 89.71 12.24 8 8.85 99.38 43.58 7 40.79 22.31 27.75 4 0.17 6 12.42 23.15 99 0 265.12 2674.04 Ghaziabad 0 14.64 0 0 0 8.51 0.04 8.34 0 11.63 0 11.80 0 2.20 0 20.77 0 5.76 0 0 0.04 83.65 Ghazipur 2180.9 2287. 869.0 1295. 132.2 212.3 131.8 172.0 164.3 296.0 537.6 3 36 26.98 29.90 3 06 36.15 94.82 7 1 4.56 48.01 65.48 1 8 3 1 1 0 0 3783.50 4801.21 Gonda 1281.2 2556. 143.0 532.0 463.8 895.4 112.6 113.1 177.1 116.4 112.0 322.4 819.0 2 18 7 9 3 2 6 62.31 1.36 39.48 1.35 1.28 1 8 3 3 4 4 0 0 2555.46 5194.99 Gorakhpur 4821. 660.5 158.4 1790. 248.5 335.8 209.6 703.9 450.9 315.1 802.57 85 83.65 6 0 78 17.02 9 26.19 0 19.86 7 63.20 7 57.66 4 5.48 6 0 0 1234.02 9537.30 Hamirpur 2201. 1061. 175.6 1948. 479.9 237.6 439.6 820.8 264.9 184.04 32 33.84 32 4 17 10.05 5 10.05 5 2.99 6 7.97 1 23.25 1 0 60.85 0 0 447.83 7514.64 Hardoi 4024.0 6070. 286.0 642.3 635.4 832.9 428.2 130.6 227.1 113.2 129.4 170.8 9 4 3 1 5 0 18.11 57.56 21.10 5 9 5 2 8 79.59 4 25.36 96.80 0 0 5333.63 8655.55 Jalaun 4188. 197.9 2372. 964.6 587.4 141.7 474.8 950.5 67.16 81 10.71 4 23.28 47 0.18 2 14.80 5 0 1.32 4.12 4 7.77 6 47.58 2 0 0 175.60 9879.72 Jaunpur 1372.7 3664. 249.3 293.1 1144. 182.7 640.7 168.3 113.3 357.9 805.8 184.0 268.7 5 45 87.22 8 1 28 46.39 93.79 1 1 84.31 3 67.33 3 3 4 7 0 0 0 2675.87 7148.80 Jhansi 1768. 165.8 1882. 1170. 583.2 439.4 332.6 156.3 1583. 285.3 120.36 70 8.62 3 88.54 58 17.18 85 2.80 7 16.18 0 28.71 9 0 89 12.82 8 0 0 451.45 8212.59 Jyotiba Phoole 1479.7 615.2 250.5 193.0 127.2 286.0 166.4 193.4 635.5 285.5 299.0 444.5 Nagar 7 8 18.51 62.52 1 3 8 4 21.32 45.06 17.20 8.29 4 1 3 6 1 8 0 0 3015.55 2133.76 Kannauj 2236. 217.2 407.4 104.7 203.5 203.1 20.13 23 0 90.69 4.28 3 0 78.67 7.68 0 0 11.09 2.88 4 2.84 3 0.42 5 0 0 38.23 3552.74 Kanpur 1620.3 1776. 121.9 227.3 387.5 792.9 103.1 131.9 131.8 553.9 308.3 268.8 Dehat 7 74 4 7 7 3 1.22 7.12 4 8 37.72 24.13 81.94 9 80.24 2 7 2 0 0 2742.50 3914.89 Kanpur 3072. 745.6 1889. 144.2 197.9 280.5 237.7 807.0 Nagar 181.55 75 30.97 9 44.23 37 2.05 7 2.24 1 10.41 34.75 0.53 6 0.35 7 27.79 9 0 0 300.10 7410.15 Kashiram 2644. 406.2 107.1 154.0 176.1 Nagar 845.89 06 6.63 1 19.70 4 0.95 69.73 0.14 98.50 35.23 24.27 8.94 7 30.11 8 3.53 59.60 0 0 951.12 3739.77 Kaushambi 649.4 117.2 568.3 1550. 131.7 110.2 253.3 231.2 215.1 256.0 14.5 362.53 3 83.25 4 0 07 0.46 31.26 30.23 0 15.06 46.08 9 4 7 4 59.41 9 0 69 1460.80 3264.92 Kheri 3195.3 3639. 481.4 342.8 1004. 1326. 320.9 149.7 167.0 215.7 262.3 504.6 3029. 1608. 306.5 524.3 5 14 6 0 71 97 68.55 5 30.15 9 5 5 29 5 31 07 6 3 0 0 8545.43 8632.43 Kushi 6911.4 1350. 315.9 184.2 1044. 446.0 338.5 307.3 489.4 103.4 149.5 188.6 390.3 231.2 16.8 Nagar 7 90 6 3 29 0 1 62.97 8 7 2 9 1 96.01 6 57.44 5 99.68 0 62 9831.25 2953.15 Lalitpur 490.1 858.8 3777. 193.2 962.6 298.5 233.1 166.3 563.4 105.1 545.1 275.8 132.79 0 0 17.52 4 02 0 6 71.77 0 7.65 9 8 4 3 4 54.47 0 0 0 1590.19 7163.35 Lucknow 2189.0 358.3 385.9 1072. 199.2 101.2 212.0 449.3 429.1 286.4 7 4 7 73.86 76 3 6 36.80 5 42.15 34.45 3.44 2 68.68 5 56.40 3 70.48 0 0 5160.41 909.37

Mahamaya 1599. 224.2 276.9 Nagar 31.47 80 0 1.35 0.95 4 0 0 0 91.00 0 37.19 0.44 37.37 0 4 1.76 91.81 0 0 34.62 2358.79

- 42 -

District Rural Flood Control Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Conservation Proofing Irrigation Development Gandhi & harvesting Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Maharajgan 1976.5 4227. 211.9 589.9 560.5 1441. 144.6 157.3 386.8 278.4 519.9 214.2 311.2 362.6 3648.8 j 7 36 5 6 7 62 66.51 0 2 8 47.11 78.40 1 9 39.24 2 0 2 0.00 0.00 88 7965.647 Mahoba 665.3 410.9 452.1 122.9 147.4 349.6 335.4 238.98 61.10 8 21.99 81.92 27.40 8 1.10 3 1.51 80.52 6.03 1 5.95 4 66.30 6 47.60 7 0.00 0.00 11 2646.411 Mainpuri 1798. 216.3 497.9 183.5 318.9 190.7 179.2 224.6 281.0 294.8 173.9 481.0 1895.9 886.00 58 3 7 5 5 2.04 1 81.76 0 18.36 17.46 52.90 1 6 7 3 5 0.00 0.00 21 4003.402 Mathura 1413. 411.7 516.1 148.0 137.1 15.435 11.63 29 3.48 9 0.19 9 0.14 8 0.00 5 0.00 30.91 0.00 0.00 0.00 95.20 0.00 10.70 0.00 0.00 8 2763.310 Mau 2055.9 2464. 485.3 1310. 165.1 226.1 259.3 454.8 587.4 277.2 580.3 3655.2 3 81 2.82 5.10 6 26 11.40 75.73 5 1 2.25 1.00 4 8 9 0 85.49 3 0.00 0.00 275 5395.424 Meerut 108.3 151.6 587.54 117.74 41.86 0 23.01 47.64 11.03 0 1.34 88.19 0.00 28.96 1.52 27.84 8.86 11.86 8.18 5.41 0.66 0.00 0.00 18 96.458 Mirzapur 3430. 460.3 2890. 1012. 851.4 171.2 1476. 1538. 139.7 103.79 11972.59 21.99 98 0.00 2 30.95 86 0.00 96 2.55 2 4.00 0 40.54 49 3.78 59 0.00 8 0.00 0.00 22 4 Moradabad 2248.8 1979. 115.1 486.3 360.5 244.4 322.9 113.2 159.9 364.8 219.5 163.2 243.5 185.8 3781.8 6 50 5 69.21 6 3 8 6 0.27 67.95 63.62 2 6 1 9 7 3 0 0.00 0.00 015 3627.24 Muzaffarna 339.8 115.1 158.0 174.8 163.3 422.80 gar 153.38 3 33.92 2 83.30 4 4.03 87.11 46.12 6 7.18 16.11 6.65 13.17 22.02 47.12 66.22 3 0.00 0.00 93 1114.68 Pilibhit 2395.7 1657. 192.5 359.4 790.0 164.6 241.3 134.3 158.2 551.2 581.8 3275.6 4 09 73.93 3 3 2 24.69 22.06 17.47 90.71 8.19 16.90 7 2 54.19 2 8 9 19.06 8 509 4278.115 Pratapgarh 2040. 115.1 299.0 297.0 1295. 164.3 645.2 255.5 398.8 893.9 232.4 1014. 1966.9 799.35 07 3 4 4 31 8.10 2 71.03 0 12.91 71.50 32.13 4 7 0 4 49 0.00 0.00 998 6679.36 Rae Bareli 1660.4 1851. 351.1 251.7 966.1 1330. 204.0 252.5 159.7 188.6 424.9 371.9 179.9 302.4 4009.7 1 80 1 2 1 36 20.08 28.12 2 1 43.42 34.32 4 1 0 6 5 2 0.00 0.00 462 4611.816 Rampur 1060.8 1092. 132.3 206.8 104.6 129.9 194.6 1540.0 9 98 51.03 2 67.29 7 53.17 9 66.05 68.63 11.57 45.58 97.94 82.35 93.28 5 38.82 5 0.00 0.00 266 2058.001 Saharanpur 1870. 243.2 278.1 220.0 118.2 162.8 101.7 127.6 1313.7 777.78 16 2 5 77.27 2 72.83 4 45.14 9 37.62 77.78 15.88 1 33.26 2 10.78 58.09 0.00 0.00 76 3014.666 Sant Kabeer 2740.4 1435. 201.6 234.8 1171. 717.1 186.4 191.8 436.6 425.7 224.7 107.2 199.1 5206.7 Nagar 5 11 3 8 33 0 6 0 5 0 6 1 4.10 17.66 7 67.26 42.19 63.71 0.00 0.00 445 3260.43 Sant Ravidas 617.8 428.3 1539. 163.0 201.3 160.4 1392.5 Nagar 615.62 7 4.68 52.04 0 99 49.33 26.50 9 7 1.24 4.26 47.80 1 39.93 50.83 42.53 77.96 0.00 0.00 238 2731.228 Shahjahanp 1122.0 2225. 107.6 192.0 263.0 448.9 258.3 115.2 209.4 140.9 332.6 797.9 558.8 408.3 689.9 3227.5 ur 5 49 6 7 0 7 1 47.41 7 6 14.00 27.14 3 4 9 7 2 3 0.00 0.00 299 4731.972 Shravasti 2408.4 267.7 148.0 112.0 386.9 163.2 3130.4 7 2 0 4 8 2 28.52 21.61 0.62 0.00 59.87 4.35 39.74 8.34 31.89 2.97 26.36 0.90 0.00 0.00 492 581.143 Siddharth 1523.5 5848. 242.6 654.2 1999. 212.2 103.2 125.6 121.0 306.6 213.9 113.2 793.5 2669.3 Nagar 0 09 95.47 6 6 98 11.24 8 0 7 23.36 8 95.61 7 49.38 7 8 4 0.00 0.00 04 9863.926 Sitapur 2232.4 5557. 256.9 1450. 934.1 2496. 160.0 303.5 184.4 348.3 113.1 317.3 552.7 1434. 375.8 4476.7 12444.05 4 21 4 25 2 61 23.94 2 82.29 0 7 6 5 8 7 92 96.64 0 0.00 0.00 584 Sonbhadra 3584. 1408. 5682. 1028. 670.7 263.3 1237. 353.7 536.2 995.3 260.0 3108.9 13841.27 695.80 80 9.13 28.31 50 11 5.76 98 95.93 7 2 14 87.17 1 6 9 7.03 7 0.00 0.00 06 Sultanpur 2059. 313.2 1425. 116.6 215.1 219.4 556.5 221.0 143.75 65.67 45 11.43 6 23.12 76 2.75 5 0.00 6 10.02 44.43 6.73 9 11.14 9 12.90 2 0.00 0.00 22 5171.798 Unnao 3366.8 5084. 424.8 490.4 984.6 1711. 245.1 170.3 471.3 131.7 212.6 601.4 394.8 663.6 813.2 6480.4 5 29 2 2 8 03 87.42 6 7 9 49.47 27.25 9 4 1 8 3 7 0.00 0.00 353 9450.329

- 43 - Varanasi 2591. 531.4 1157. 360.7 496.3 114.9 236.6 374.8 0.00 06 0.00 0 0.00 78 0.00 7 0.00 8 0.00 21.85 0.00 3 0.00 9 0.00 6 0.00 0.00 0 5885.706 Total 83436. 1633 7706. 2026 2577 7726 3374. 1575 5582. 1856 2587. 6690. 5314. 1637 1383 2377 7357. 2476 613.3 15500 367447.3 93 74.24 85 5.92 8.15 9.84 27 3.18 39 7.59 89 54 01 3.23 3.80 6.24 52 3.28 36.57 0 8.37 5

- 44 - Table-II.4(B): District –wise Work Completed /Progress under NREGA Expenditure (2009-10)

District Rural Flood Control Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Conservation Proofing Irrigation Development Gandhi & harvesting Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Agra 63.25 1201.5 0.07 20.65 25.21 432.15 0.56 137.10 3.67 102.25 0.00 1.13 5.44 392.29 2.89 162.21 6.07 294.36 0.00 0.00 107.17 2743.6 3 Aligarh 1.06 1444.0 0.00 280.60 0.00 442.67 0.00 82.78 0.00 86.52 0.00 0.00 0.00 0.00 0.00 53.79 0.00 39.55 0.00 0.00 1.06 2429.9 4 Allahabad 0.41 1491.7 2.62 1060.8 0.17 2268.3 0.31 272.79 0.00 341.09 0.00 23.02 0.05 996.17 0.00 62.13 0.00 452.96 0.00 0.00 3.55 6969.1 1 9 9 Ambedkar 0.00 1741.8 0.00 10.89 1.37 1654.0 0.00 171.77 0.00 279.65 0.00 69.66 0.00 40.91 0.00 80.60 0.00 132.33 0.00 0.00 1.37 4181.6 Nagar 5 4 Auraiya 0.00 1397.8 0.00 526.14 0.00 524.87 0.00 4.62 0.00 64.56 0.00 2.14 0.00 88.34 0.00 85.91 0.00 4.62 0.00 0.00 0.00 2699.0 5 Azamgarh 5.47 3895.7 0.00 331.69 1.49 3158.6 0.00 85.67 0.00 280.83 0.00 44.20 0.00 1574.7 0.00 223.23 0.00 646.26 0.00 0.00 6.96 10241.0 6 9 0 Baghpat 0.00 198.64 0.00 81.72 0.00 163.71 0.00 5.08 0.00 20.56 0.00 0.59 0.00 48.30 0.00 5.30 0.00 40.30 0.00 0.00 0.00 564.2 Bahraich 0.00 4450.0 0.00 602.14 0.00 1502.2 0.00 148.91 0.00 40.10 0.00 146.94 0.00 45.59 0.00 188.60 0.00 131.02 0.00 0.00 0.00 7255.6 9 8 Ballia 0.27 3308.0 0.00 17.63 0.00 905.10 0.00 1.71 0.02 37.55 0.00 17.35 0.00 91.45 0.00 8.26 0.00 1880.3 0.00 0.00 0.30 6267.4 9 1 Balrampur 0.00 1822.0 0.00 103.86 0.00 624.19 0.00 37.85 0.00 58.38 0.00 106.82 0.00 59.27 0.00 33.24 0.00 269.01 0.00 0.00 0.00 3114.6 8 Banda 12.52 3428.2 0.00 596.45 0.00 2196.2 0.00 92.98 0.00 148.83 0.00 76.98 0.00 461.90 0.00 132.26 1.98 839.61 0.00 0.00 14.50 7973.5 7 6 Barabanki 268.46 5320.6 90.13 996.27 129.70 2681.0 0.81 235.34 23.76 472.46 8.92 53.63 0.00 499.83 43.46 1076.8 2.82 1216.4 0.00 0.00 568.06 12552.5 0 8 6 8 Bareilly 10.05 2599.1 0.59 281.13 0.00 1009.7 0.00 41.60 0.00 77.73 0.00 3.26 0.00 128.19 0.00 122.61 0.00 37.40 0.00 0.00 10.64 4300.8 4 5 Basti 30.05 2579.9 0.00 16.27 4.38 1682.0 0.00 40.79 0.00 216.07 1.14 25.74 1.04 310.96 3.33 253.75 0.79 310.14 0.00 0.00 40.73 5435.7 4 9 Bijnor 42.92 2185.7 0.00 131.18 4.92 681.09 0.47 46.57 0.00 183.20 0.00 6.35 2.72 157.55 0.49 468.43 0.00 157.12 0.00 0.00 51.51 4017.2 9 Budaun 1.62 4117.8 0.00 513.46 0.63 956.51 0.00 98.21 0.00 9.05 0.00 8.06 0.00 152.93 0.00 212.70 0.06 282.06 0.00 0.00 2.30 6350.8 8 Bulandshah 0.00 648.84 0.00 104.40 0.00 493.75 0.00 32.47 0.00 88.44 0.00 34.42 0.00 91.69 0.00 102.53 0.00 10.94 0.00 0.00 0.00 1607.4 r Chandauli 0.12 2060.5 0.00 197.15 0.00 925.20 0.00 559.38 0.00 965.68 0.00 5.72 0.00 342.10 0.00 161.59 0.00 336.80 0.00 0.00 0.12 5554.1 4 Chitrakoot 0.00 1790.9 0.00 113.69 0.00 2281.0 0.00 564.43 0.00 68.17 0.00 251.38 0.00 87.88 9.65 286.16 0.00 568.82 0.00 0.00 9.65 6012.5 0 7 Deoria 0.00 1775.1 0.00 57.18 0.00 1963.3 0.00 81.23 0.00 190.87 0.00 42.37 0.00 181.53 0.00 95.84 0.00 171.25 0.00 0.00 0.00 4558.8 6 8 Etah 35.73 2760.3 0.04 107.82 0.00 52.01 0.00 13.56 0.00 91.40 0.00 3.36 0.00 267.76 0.00 53.96 0.00 79.18 0.00 0.00 35.77 3429.4 9 Etawah 20.28 1038.1 11.41 410.92 12.32 346.24 0.00 154.45 0.00 107.39 0.00 55.91 0.00 26.22 0.00 103.01 0.03 135.73 0.00 0.00 44.04 2378.0 3 Faizabad 0.00 1317.7 0.00 69.50 0.00 2189.8 0.00 371.71 0.00 265.88 0.00 52.35 0.00 397.09 0.00 298.25 0.00 141.24 0.00 0.00 0.00 5103.5 3 4 Farrukhaba 108.94 1029.3 0.00 1.80 15.22 353.06 0.00 0.01 6.38 22.02 0.00 2.44 7.15 21.75 16.48 90.95 6.52 169.83 0.00 0.00 160.68 1691.2 d 7 Fatehpur 14.29 2295.4 8.69 537.20 10.79 3526.2 4.03 67.75 3.20 74.56 1.29 121.51 0.00 55.11 18.04 1027.2 21.57 2510.5 0.00 0.00 81.89 10215.6 0 3 6 9

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District Rural Flood Control Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Conservation Proofing Irrigation Development Gandhi & harvesting Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Firozabad 7.30 1386.4 0.00 93.49 0.00 290.99 0.00 93.14 0.00 119.47 0.00 5.15 3.35 109.03 0.00 146.51 0.00 60.90 0.00 0.00 10.65 2305.1 6 G Buddha 0.00 13.41 0.00 0.00 0.00 25.54 0.00 0.32 0.00 4.41 0.00 3.51 0.00 0.00 0.00 8.39 0.00 2.27 0.00 0.00 0.00 57.8 Nagar Ghaziabad 0.18 106.08 0.00 75.46 0.00 146.13 0.00 36.79 0.00 51.28 0.00 39.85 0.00 133.27 0.00 0.15 0.00 6.14 0.00 0.00 0.18 595.1 Ghazipur 50.82 1692.7 0.00 10.52 15.75 640.82 0.00 84.53 8.92 111.86 0.00 0.00 0.83 85.56 8.53 28.04 6.05 290.16 0.00 0.00 90.90 2944.2 5 Gonda 0.00 2292.3 0.00 117.50 0.00 558.17 0.00 56.40 0.00 3.15 0.00 1.52 0.00 290.77 0.00 79.63 0.00 500.74 0.00 0.00 0.00 3900.2 5 Gorakhpur 0.46 2163.8 0.00 289.28 0.24 1226.6 0.00 63.11 0.00 161.83 0.00 78.63 0.00 290.93 0.00 264.00 0.00 17.27 0.00 0.00 0.70 4555.6 8 8 Hamirpur 0.00 3090.3 0.00 1463.6 0.00 2922.4 0.00 163.06 0.00 162.08 0.00 235.20 0.00 923.70 0.00 118.92 0.00 43.84 0.00 0.00 0.00 9123.1 5 3 0 Hardoi 547.52 8685.6 33.04 623.59 81.54 2020.5 0.79 19.62 1.34 120.07 5.94 39.59 30.21 104.73 6.09 310.44 0.00 21.06 0.00 0.00 706.47 11945.2 0 0 Jalaun 1.58 3661.2 0.00 157.85 1.00 2153.0 0.00 422.29 0.00 255.06 0.00 11.22 0.00 221.01 0.00 238.91 0.00 740.38 0.00 0.00 2.58 7860.9 2 3 Jaunpur 0.41 3516.3 0.00 328.45 0.00 2178.3 0.00 61.82 0.00 521.48 0.00 9.04 0.00 497.99 0.00 240.62 0.00 929.17 0.00 0.00 0.41 8283.3 7 6 Jhansi 167.31 1578.9 6.33 38.92 436.00 2773.8 46.86 1103.0 65.52 87.20 123.34 1129.9 41.76 370.36 74.88 571.21 11.16 134.95 0.00 0.00 973.16 7788.3 5 5 2 5 Jyotiba 42.81 831.28 1.20 30.07 48.20 435.74 24.85 124.54 0.00 60.90 0.00 22.68 31.73 218.31 9.91 164.62 87.13 307.99 0.00 0.00 245.83 2196.1 Phoole Nagar Kannauj 10.36 1260.8 0.00 59.92 0.20 280.71 0.00 13.63 7.37 271.42 0.00 0.95 0.08 193.56 0.00 40.82 0.00 75.25 0.00 0.00 18.02 2197.1 7 Kanpur 24.04 2394.9 0.00 119.28 0.60 1647.0 0.00 9.67 0.00 162.60 0.96 292.73 0.10 293.98 0.00 210.88 9.02 341.33 0.00 0.00 34.70 5472.5 Dehat 9 6 Kanpur 0.00 2036.0 0.00 322.74 0.00 1142.9 0.00 141.51 0.00 88.92 0.00 6.48 0.00 166.90 0.00 66.73 0.00 1279.7 0.00 0.00 0.00 5252.0 Nagar 0 9 3 Kashiram 0.00 2490.8 0.00 372.18 0.07 289.77 0.00 58.27 0.00 90.27 0.26 59.17 0.00 461.85 0.00 71.74 0.00 43.89 0.00 0.00 0.33 3938.0 Nagar 7 Kaushambi 17.74 1570.0 3.13 475.80 16.98 1935.6 0.00 10.30 1.55 166.31 0.25 293.16 4.97 375.71 1.30 245.43 10.13 364.99 0.00 0.00 56.06 5437.3 3 6 Kheri 0.00 2363.3 0.00 440.30 0.00 2060.8 0.00 32.87 0.00 92.60 0.00 51.16 0.00 639.88 3.48 2592.0 0.00 525.67 0.00 0.00 3.48 8798.7 9 2 3 Kushi 0.00 2704.8 0.00 224.49 0.00 1370.4 0.00 166.31 0.00 448.46 0.00 20.32 0.00 143.17 0.00 133.30 0.00 91.04 0.00 0.00 0.00 5302.3 Nagar 0 9 Lalitpur 0.00 435.39 0.00 4.27 0.00 4945.9 0.00 1134.5 0.00 508.17 0.00 122.56 0.00 1052.5 0.00 82.52 0.00 264.90 0.00 0.00 0.00 8550.9 9 7 9 Lucknow 0.00 1970.7 0.00 375.65 0.00 1561.5 0.00 71.71 0.00 81.56 0.00 24.19 0.00 804.42 0.00 176.83 0.00 348.54 0.00 0.00 0.00 5415.1 4 2 Mahamaya 0.00 1326.1 0.00 7.81 0.00 117.58 0.00 2.26 0.00 40.48 0.00 1.25 0.00 40.95 0.00 57.57 0.00 64.80 0.00 0.00 0.00 1658.8 Nagar 6 Maharajgan 0.00 1489.5 0.00 322.89 3.63 1374.1 0.00 77.51 0.00 314.34 0.00 70.14 0.00 189.59 0.00 112.03 0.00 150.53 0.00 0.00 3.63 4100.7 j 1 8 Mahoba 0.00 535.71 0.00 111.79 0.00 732.00 0.00 293.18 0.00 46.09 0.00 286.46 0.00 451.62 0.00 168.31 0.00 978.61 0.00 0.00 0.00 3603.7

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District Rural Flood Control Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Conservation Proofing Irrigation Development Gandhi & harvesting Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Mainpuri 3.35 1893.7 0.00 532.51 0.00 401.18 0.00 78.52 0.00 155.86 0.00 2.47 0.00 267.36 0.18 308.16 0.11 256.40 0.00 0.00 3.64 3896.1 1 Mathura 0.00 1205.9 0.00 244.76 0.00 1005.4 0.00 65.19 0.00 72.92 0.00 6.43 0.00 2.86 0.00 41.33 0.00 30.88 0.00 0.00 0.00 2675.8 9 9 Mau 0.00 3277.4 0.00 8.81 0.00 1392.4 0.00 38.70 0.00 121.59 0.00 16.41 0.00 1001.9 0.00 311.66 0.00 480.01 0.00 0.00 0.00 6649.0 7 7 4 Meerut 6.02 72.92 0.68 54.01 9.05 173.73 0.00 11.43 0.00 94.57 0.00 6.52 0.05 27.09 0.00 6.43 0.00 7.28 0.00 0.00 15.80 453.9 Mirzapur 3.43 2865.4 0.00 135.58 0.53 3366.3 10.72 687.36 0.00 529.87 0.00 151.21 0.00 1430.8 0.00 516.25 0.00 300.62 0.00 0.00 14.68 9983.4 2 2 0 Moradabad 34.84 2700.8 0.00 111.01 3.05 1255.9 6.87 178.63 0.00 10.83 0.48 80.68 11.11 414.69 0.00 234.21 0.10 380.85 0.00 0.00 56.45 5367.7 6 6 Muzaffarna 0.00 269.36 0.00 131.19 0.00 321.97 0.00 24.20 0.00 100.47 0.00 12.54 0.00 9.04 0.00 48.01 0.00 86.23 0.00 0.00 0.00 1003.0 gar Pilibhit 0.01 4392.0 0.00 382.37 0.96 895.69 0.00 24.35 0.00 44.38 0.00 0.15 0.00 335.47 0.00 99.16 0.00 465.36 0.00 0.00 0.98 6639.0 7 Pratapgarh 0.00 2728.0 0.00 401.67 0.00 1574.9 0.00 23.42 0.00 265.50 0.00 225.16 0.00 372.04 0.00 479.90 0.00 1849.1 0.00 0.00 0.00 7919.8 3 8 2 Rae Bareli 8.28 4094.2 0.22 775.90 9.10 3328.9 0.00 40.90 4.30 504.83 0.00 61.03 0.00 502.15 0.00 853.33 1.20 327.98 0.00 0.00 23.11 10489.2 0 3 Rampur 0.00 1004.2 0.00 82.60 0.00 235.33 0.00 40.54 0.00 55.89 0.00 23.26 0.00 118.25 0.00 88.06 0.00 58.43 0.00 0.00 0.00 1706.6 7 Saharanpur 0.00 1505.7 0.00 292.34 0.00 620.18 0.00 128.13 0.00 50.16 0.00 52.57 0.00 83.56 0.00 189.81 0.00 63.14 0.00 0.00 0.00 2985.5 0 Sant 0.00 2963.5 0.00 410.88 0.00 1862.8 0.00 196.45 0.00 708.40 0.00 129.34 0.00 0.80 0.00 151.33 0.00 1.88 0.00 0.00 0.00 6425.5 Kabeer 7 6 Nagar Sant 0.00 866.39 0.00 93.55 0.00 1986.9 0.00 286.02 0.00 358.80 0.00 1.80 0.00 70.36 0.00 80.12 0.00 113.90 0.00 0.00 0.00 3857.9 Ravidas 5 Nagar Shahjahanp 7.69 1402.5 0.00 167.41 2.25 578.68 0.00 79.76 0.00 168.73 0.00 22.24 0.00 565.37 0.00 1094.3 1.25 460.40 0.00 0.00 11.18 4539.4 ur 4 4 Shravasti 0.14 1531.5 0.00 81.83 0.00 246.29 0.00 34.96 0.00 4.09 0.00 24.33 0.00 46.63 0.00 14.46 0.00 61.55 0.00 0.00 0.14 2045.6 3 Siddharth 0.10 3028.6 0.00 222.40 0.00 2432.6 0.00 34.82 0.00 95.35 0.00 47.89 0.00 1016.0 0.00 112.82 0.00 256.96 0.00 0.00 0.10 7247.5 Nagar 1 5 2 Sitapur 165.20 3534.4 31.68 1214.9 42.07 3726.7 0.06 57.93 0.00 168.90 3.64 155.51 0.76 487.28 180.25 1673.5 24.55 624.05 0.00 0.00 448.21 11643.2 0 5 1 2 Sonbhadra 24.75 4704.7 0.00 24.92 0.00 12588. 0.41 990.73 1.10 698.42 4.08 1220.9 2.47 845.16 1.27 271.54 0.86 438.53 0.00 0.00 34.93 21783.1 9 04 7 Sultanpur 7.29 3640.8 2.24 818.86 4.31 2704.9 0.00 241.34 0.00 300.34 0.00 14.34 0.00 495.63 0.00 306.66 0.55 377.93 0.00 0.00 14.40 8900.8 0 6 Unnao 7.02 3264.3 1.32 579.78 2.35 2977.7 0.19 52.92 0.00 266.27 0.00 16.40 9.14 323.70 0.37 725.45 0.55 493.82 0.00 0.00 20.95 8700.4 9 2 Varanasi 0.00 1991.6 0.00 248.32 0.00 974.77 0.05 128.22 0.00 274.46 0.00 7.49 0.00 288.84 0.00 82.17 0.00 120.38 0.00 0.00 0.05 4116.3 5 Total 1754.09 158435 193.40 20252. 884.10 110496 96.98 11033. 127.13 13313. 150.27 6238.9 152.96 23284. 380.61 19207. 192.49 25697. 0.00 0.00 3932.0 387960.6 .53 16 .50 69 87 2 45 79 75 3

- 47 - Table-II.4(C): District –wise Work Completed /Progress under NREGA (Amt. spent in lakh Rs.) (2008-09) District Rural Flood Control Water Con. & Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity harvesting Proofing Irrigation Development Gandhi Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo AGRA 12.5 314. 0.00 6.07 0.99 66.5 0.96 67.8 0.71 31.6 0.30 0.00 0.87 40.1 1.38 62.9 0.19 36.3 0.00 0.00 17.8 626.25 0 62 8 1 6 5 9 7 9 ALIGARH 0.00 726. 0.00 63.9 0.00 27.0 0.00 0.24 0.00 15.9 0.00 0.00 0.00 0.00 0.00 0.35 0.00 28.2 0.00 0.00 0.00 862.79 96 9 9 0 7 ALLAHABAD 13.6 223. 58.2 771. 93.6 1635 7.80 50.4 0.70 267. 0.11 1.73 2.74 496. 0.09 21.3 40.3 197. 0.00 0.00 217. 3666.2 3 75 5 35 4 .07 8 97 59 4 9 92 36 0 AMBEDKA 0.00 634. 0.00 9.57 0.00 448. 0.00 31.4 0.00 182. 0.00 1.04 0.00 38.8 0.00 19.5 0.00 41.7 0.00 0.00 0.00 1407.0 R NAGAR 15 59 2 09 0 8 7 1 AURAIYA 0.00 147. 1.31 27.0 0.00 109. 0.00 0.00 0.00 2.27 0.00 0.00 0.00 2.53 0.00 6.94 0.00 0.00 0.00 0.00 1.31 296.17 54 5 85 AZAMGARH 0.00 1622 0.00 63.4 0.00 1305 0.00 115. 0.00 87.3 0.00 1.18 0.00 709. 0.00 35.5 0.00 117. 0.00 0.00 0.00 4057.9 .14 7 .42 21 5 61 7 93 0 BAGHPAT 0.00 41.3 0.00 32.1 0.00 46.5 0.00 6.00 0.00 28.4 0.00 0.04 0.00 0.00 0.00 2.51 0.00 13.8 0.00 0.00 0.00 170.98 9 6 3 6 9 BAHRAICH 0.00 1688 0.00 476. 0.00 1150 0.00 30.3 0.00 0.94 0.00 65.0 0.00 46.5 0.00 66.2 0.00 167. 0.00 0.00 0.00 3692.1 .79 19 .58 1 9 5 3 47 6 BALLIA 0.06 899. 0.00 0.86 0.00 40.4 0.00 0.17 0.00 7.70 0.00 25.1 0.00 8.88 0.00 0.00 0.29 499. 0.00 0.00 0.35 1482.1 87 2 3 12 6 BALRAMPUR 0.00 1189 0.95 127. 0.00 524. 0.00 102. 0.00 27.6 0.00 8.54 0.00 8.25 0.00 27.9 0.00 136. 0.00 0.00 0.95 2151.9 .43 15 54 01 3 6 41 1 BANDA 0.00 1398 0.00 260. 0.00 944. 0.00 184. 0.00 41.1 0.00 29.7 0.00 338. 0.00 62.1 0.00 288. 0.00 0.00 0.00 3547.6 .69 27 09 83 1 9 03 6 65 2 BARABANKI 0.09 1413 0.00 204. 0.00 1024 0.00 35.2 0.00 314. 0.00 5.13 0.00 219. 0.00 432. 0.00 143. 0.00 0.00 0.09 3792.3 .07 68 .09 7 47 12 71 78 2 BAREILLY 0.00 1295 0.00 119. 0.00 172. 0.00 32.2 0.00 2.93 0.00 0.65 0.00 28.3 0.00 70.4 0.00 11.9 0.00 0.00 0.00 1734.8 .95 30 92 9 6 4 6 0 BASTI 1.60 595. 0.14 69.5 0.00 270. 0.00 8.50 0.00 88.8 0.40 0.75 0.00 6.82 1.90 38.2 0.14 1.06 0.00 0.00 4.17 1079.3 05 7 53 5 0 3 BIJNOR 59.6 665. 0.00 13.1 0.91 113. 0.57 9.83 0.00 0.00 0.00 0.31 0.27 60.3 0.00 565. 0.00 17.4 0.00 0.00 61.4 1445.9 8 32 3 80 8 79 0 3 6 BUDAUN 0.25 1678 0.00 335. 0.00 216. 0.00 21.8 0.00 4.88 0.00 0.00 0.00 79.0 0.00 19.7 0.00 32.9 0.00 0.00 0.25 2389.3 .96 74 18 1 6 9 4 6 BULANDSH 0.00 191. 0.00 53.9 0.00 122. 0.00 68.3 0.00 18.6 0.00 2.49 0.00 12.0 0.00 37.3 0.00 0.58 0.00 0.00 0.00 507.01 AHR 04 6 63 1 0 1 9

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District Rural Flood Control Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Conservation Proofing Irrigation Development Gandhi & harvesting Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo CHANDAULI 0.00 1170 0.00 234. 0.00 671. 0.00 59.7 0.00 138. 0.00 0.83 0.00 388. 0.00 38.2 0.00 62.8 0.00 0.00 0.00 2764.8 .82 20 90 5 12 09 8 8 7 CHITRAKOOT 0.00 655. 0.00 5.94 0.00 991. 0.00 264. 0.00 5.51 0.00 129. 0.00 4.42 0.00 33.2 0.15 248. 0.00 0.00 0.15 2338.5 66 25 14 87 5 49 3 DEORIA 0.00 952. 0.00 23.1 0.00 396. 0.00 203. 0.00 95.0 0.00 1.53 0.00 1.42 0.00 51.2 0.00 5.19 0.00 0.00 0.00 1729.4 16 0 20 55 1 9 5 ETAH 0.00 620. 0.00 39.1 0.00 0.55 0.00 2.93 0.00 5.48 0.00 0.00 0.00 102. 0.00 9.54 0.00 2.51 0.00 0.00 0.00 783.11 14 4 82 ETAWAH 0.00 119. 0.00 53.9 0.00 89.1 0.00 4.27 0.00 14.6 0.00 1.03 0.00 1.26 0.00 0.00 0.00 1.05 0.00 0.00 0.00 284.93 59 6 7 0 FAIZABAD 0.00 566. 0.00 28.4 0.00 661. 0.00 440. 0.00 182. 0.00 15.1 0.00 17.9 0.00 76.8 0.00 0.76 0.00 0.00 0.00 1990.6 94 7 84 18 57 5 4 2 7 FARRUKHA 166. 383. 0.00 0.00 10.1 90.7 0.00 0.09 13.3 11.0 0.00 0.77 3.48 16.5 33.6 27.0 2.17 21.2 0.00 0.00 229. 550.77 BAD 72 34 8 8 1 0 4 7 3 3 52 FATEHPUR 0.00 187. 5.74 155. 8.30 859. 1.05 25.7 0.00 25.0 0.00 18.1 1.12 19.1 3.49 124. 13.5 808. 0.00 0.00 33.2 2224.5 98 51 53 4 7 8 4 97 4 42 4 5 FIROZABAD 0.00 127. 0.18 30.3 0.50 48.4 0.00 120. 0.00 79.0 0.00 4.43 0.00 7.93 0.00 26.7 0.00 0.11 0.00 0.00 0.68 444.49 08 8 3 30 5 9 G.B.NAGAR 0.00 67.1 0.00 0.32 0.00 2.18 0.00 1.27 0.00 8.08 0.00 0.00 0.00 0.17 0.00 0.00 0.00 0.00 0.00 0.00 0.00 79.16 3 GHAZIABAD 0.00 121. 0.00 30.7 0.00 54.8 0.00 34.9 0.00 41.9 0.00 1.40 0.00 7.41 0.00 3.25 0.00 2.17 0.00 0.00 0.00 298.03 31 3 9 0 7 GHAZIPUR 0.00 229. 0.00 0.00 0.00 201. 0.00 28.2 0.00 17.7 0.00 0.00 0.00 11.6 0.00 2.93 0.00 71.8 0.00 0.00 0.00 563.27 67 19 7 7 2 2 GONDA 0.00 891. 0.00 67.1 0.00 309. 0.00 8.48 0.00 0.59 0.00 0.00 0.00 143. 0.00 7.07 0.00 231. 0.00 0.00 0.00 1658.4 74 8 25 14 01 5 GORAKHPUR 0.00 1096 0.00 123. 0.63 365. 0.00 209. 0.00 119. 0.00 19.0 0.00 15.4 0.00 144. 0.00 13.0 0.00 0.00 0.63 2106.1 .27 77 56 00 52 1 8 54 1 6 HAMIRPUR 0.00 1935 0.00 969. 0.00 2069 0.00 217. 0.00 59.3 0.00 70.8 0.00 841. 0.00 65.0 0.00 27.8 0.00 0.00 0.00 6256.3 .74 90 .46 13 3 3 01 9 7 6 HARDOI 176. 5188 23.5 206. 8.44 472. 1.97 7.09 0.00 36.4 0.00 0.00 1.64 49.8 0.00 43.7 0.00 18.1 0.00 0.00 211. 6023.0 29 .23 0 99 60 1 6 0 3 85 0 JALAUN 0.00 1497 0.00 66.1 0.00 993. 0.00 446. 0.00 26.0 0.00 3.12 0.00 35.7 1.30 152. 0.00 230. 0.00 0.00 1.30 3452.2 .90 6 54 33 5 7 48 88 4

- 49 - District Rural Flood Water Con. & Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Control harvesting Proofing Irrigation Development Gandhi Com. Ongo Co Ongo Com. Ongo Com. Ongo Com Ongo Com Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ongo Com. Ong m. . . o JAUNPUR 0.00 933. 0.00 58.8 0.00 1092 0.00 11.6 0.02 201. 0.00 0.97 0.00 178. 0.00 52.7 0.00 107.59 0.00 0.00 0.02 2637 32 5 .68 5 51 40 7 .75 JHANSI 0.00 420. 0.00 6.71 0.00 2617 0.00 1654 0.00 51.8 0.00 165. 0.00 85.7 0.00 166. 0.00 20.96 0.00 0.00 0.00 5189 82 .49 .60 0 00 8 61 .76 J. P. 24.1 245. 0.00 3.84 24.7 115. 9.83 65.2 0.07 6.73 0.00 0.00 5.34 40.5 1.00 30.2 16.3 101.53 0.00 0.00 81.48 609. NAGAR 4 59 7 28 6 9 8 4 10 KANNAUJ 0.00 729. 0.00 2.39 0.00 63.0 0.00 12.7 0.00 202. 0.00 2.16 0.00 45.2 0.00 10.2 0.00 0.80 0.00 0.00 0.00 1068 58 1 5 12 9 7 .36 KANPUR 0.57 185. 0.00 19.9 0.00 257. 0.00 0.00 0.00 1.14 0.00 0.27 0.00 40.6 0.00 4.19 0.00 4.76 0.00 0.00 0.57 513. DEHAT 13 3 83 5 90 KANPUR 0.00 955. 0.00 94.8 0.00 215. 0.00 8.57 0.00 7.32 0.00 0.53 0.00 18.3 0.00 22.9 0.00 138.83 0.00 0.00 0.00 1461 NAGAR 14 6 14 3 6 .68 KASHIRAM 0.00 276. 0.00 55.9 0.00 2.28 0.00 4.04 0.00 0.00 0.00 0.00 0.00 30.6 0.00 9.03 0.00 2.94 0.00 0.00 0.00 381. NAGAR 53 9 3 44 KAUSHAMBI 124. 506. 12.9 78.5 16.4 440. 0.00 1.72 0.00 73.1 43.3 94.1 25.1 94.9 0.94 32.2 5.16 41.99 0.00 0.00 228.1 1363 27 04 0 1 9 99 0 0 5 0 5 0 7 .65 KHERI 0.00 896. 0.00 323. 0.00 800. 0.00 6.65 0.00 21.2 0.00 76.1 0.00 489. 0.50 719. 0.00 82.34 0.00 0.00 0.50 3414 00 11 82 5 9 19 33 .88 KUSHI 0.00 1871 0.00 130. 0.00 744. 0.00 278. 0.00 632. 0.00 8.23 0.00 47.0 0.00 151. 0.00 18.56 0.00 0.00 0.00 3882 NAGAR .04 24 30 82 76 5 41 .40 LALITPUR 0.00 101. 0.00 6.06 0.00 2038 0.00 1687 0.00 67.6 0.00 194. 0.00 342. 0.00 5.16 0.00 17.96 0.00 0.00 0.00 4460 94 .41 .35 3 13 08 .72 LUCKNOW 0.00 949. 0.00 208. 0.00 185. 0.00 37.4 0.00 36.6 0.00 4.01 0.00 131. 0.00 22.5 0.00 31.62 0.00 0.00 0.00 1607 12 51 88 0 7 43 1 .14 MAHAMAYA 0.00 453. 0.00 0.19 0.00 14.3 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 2.71 0.00 8.20 0.00 0.00 0.00 478. NAGAR 11 7 58 MAHARAJG 0.00 937. 0.00 70.0 0.00 942. 0.00 57.1 0.00 262. 0.00 8.79 0.00 18.4 0.00 59.4 0.00 8.51 0.00 0.00 0.00 2365 ANJ 55 2 39 7 85 3 6 .17 MAHOBA 0.00 197. 0.00 13.3 0.00 295. 0.00 155. 0.00 24.0 0.00 113. 0.32 213. 0.00 29.0 0.00 101.90 0.00 0.00 0.32 1143 01 2 13 96 7 95 31 1 .66 MAINPURI 0.00 299. 0.00 166. 0.00 3.40 0.00 75.5 0.00 40.5 0.00 0.00 0.00 83.3 0.00 9.21 0.00 5.93 0.00 0.00 0.00 684. 46 98 1 5 0 34 MATHURA 0.00 372. 0.00 92.8 0.00 90.2 0.00 72.6 0.00 49.3 0.00 0.00 0.00 0.84 0.00 17.7 0.00 23.23 0.00 0.00 0.00 719. 46 5 8 5 5 6 41

- 50 -

District Rural Flood Water Con. & Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Control harvesting Proofing Irrigation Development Gandhi Com. Ongo Co Ongo Com. Ongo Com. Ongo Com Ongo Com Ongo Com. Ongo Com. Ongo Com. Ongo Co Ongo Com. Ongo m. m. MAU 0.00 661.11 0.0 7.67 0.00 329. 0.00 41.7 0.00 26.78 0.00 8.08 0.00 256. 0.00 39.5 0.00 37.22 0.00 0.00 0.00 1407.5 0 28 5 13 3 5 MEERUT 7.59 63.32 0.1 33.8 5.68 44.9 0.00 7.27 0.00 33.33 0.00 0.57 0.00 35.0 0.61 0.50 0.00 4.07 0.00 0.00 14.0 222.82 2 0 4 1 0 MIRZAPUR 0.00 2025.5 0.0 49.1 0.00 1828 0.00 37.7 0.00 173.4 0.00 18.36 0.00 602. 0.14 717. 0.00 82.80 0.00 0.00 0.14 5536.5 0 0 7 .87 2 0 82 88 2 MORADABAD 0.00 679.48 0.0 23.4 0.00 166. 0.00 66.0 0.00 0.77 0.00 7.83 0.00 74.1 0.00 48.3 0.00 73.95 0.00 0.00 0.00 1140.7 0 4 73 9 3 6 7 MUZAFFAR 0.00 132.57 0.0 57.3 0.00 71.2 0.00 31.1 0.00 79.99 0.00 0.08 0.00 4.63 0.00 4.86 0.00 206.59 0.00 0.00 0.00 588.54 NAGAR 0 7 6 9 PILIBHIT 0.00 951.31 0.0 230. 0.00 74.8 0.00 13.5 0.00 12.12 0.00 0.00 0.00 6.23 0.00 27.0 0.00 16.42 0.00 0.00 0.00 1331.9 0 45 8 5 1 7 PRATAPGARH 0.00 2100.5 0.0 379. 0.00 1391 0.00 25.5 0.00 139.9 0.00 17.50 0.00 267. 0.00 224. 0.16 1325.92 0.00 0.00 0.16 5872.7 9 0 99 .37 7 4 46 34 0 RAE BARELI 1.63 2137.4 0.0 545. 0.00 734. 0.00 186. 0.00 129.0 0.00 24.70 0.00 112. 0.00 315. 0.00 53.65 0.00 0.00 1.63 4238.9 0 0 29 89 53 4 29 17 6 RAMPUR 0.98 201.31 0.0 23.2 0.00 29.8 0.00 25.2 0.00 9.25 0.00 1.64 0.00 36.7 0.00 21.8 0.00 4.68 0.00 0.00 0.98 353.76 0 7 9 1 2 0 SAHARANPUR 0.00 504.48 0.0 172. 0.00 89.4 0.00 16.2 0.00 19.85 0.00 0.20 0.00 3.58 0.00 77.2 0.00 9.27 0.00 0.00 0.00 892.33 0 08 3 0 5 S. K. 0.00 476.53 0.0 83.8 0.00 520. 0.00 8.19 0.00 117.7 0.00 2.47 0.00 1.11 0.00 50.9 0.00 2.01 0.00 0.00 0.00 1263.1 NAGAR 0 8 34 2 4 9 S. R. 0.00 188.94 0.0 32.9 0.00 580. 0.00 47.4 0.00 83.28 0.00 0.25 0.00 6.74 0.00 17.0 0.00 31.40 0.00 0.00 0.00 988.79 NAGAR 0 7 75 7 0 SHAHJAHA 0.00 860.32 0.0 97.1 0.96 127. 0.00 43.2 0.00 40.46 0.00 0.36 0.00 131. 0.00 484. 0.00 82.21 0.00 0.00 0.96 1866.9 NPUR 0 4 83 2 37 03 2 SHRAVASTI 0.00 753.99 0.0 33.2 0.00 46.9 0.00 12.7 0.00 0.00 0.00 0.19 0.00 10.9 0.00 0.90 0.00 42.73 0.00 0.00 0.00 901.61 0 2 8 0 1 SIDDHART 1.63 1471.4 0.0 43.9 0.00 528. 0.00 24.1 0.00 56.77 0.00 1.69 0.00 318. 0.00 8.14 0.00 42.15 0.00 0.00 1.63 2495.1 H NAGAR 0 0 9 34 4 54 7 SITAPUR 1.04 946.44 0.0 464. 0.00 1845 0.00 30.6 0.00 55.57 0.00 3.15 0.00 16.0 0.00 691. 0.00 485.44 0.00 0.00 1.04 4538.4 0 26 .40 1 3 57 8

- 51 -

District Rural Flood Water Drought Micro Provision Renovation Land Any Other Rajive Total Name Connectivity Control Conservation Proofing Irrigation Development Gandhi & harvesting Com. Ongo Co Ongo Com. Ongo Com. Ongo Com Ongo Com Ongo Com. Ongo Com. Ongo Co Ongo Co Ongo Com. Ongo m. m. m. SONBHADRA 11.9 2296.5 0.0 0.59 0.00 6071 0.00 134. 0.00 89.07 0.13 473. 0.00 262. 0.00 19.69 0.00 1.03 0.0 0.00 12.11 9348. 8 6 0 .44 72 44 17 0 72 SULTANPUR 0.00 1972.8 0.4 424. 0.00 1199 0.00 443. 0.00 7.06 0.00 0.62 0.00 18.6 0.00 102.22 0.00 118.12 0.0 0.00 0.40 4287. 6 0 50 .21 81 2 0 01 UNNAO 0.00 1397.6 0.0 94.3 0.00 1016 0.00 34.3 0.00 159.7 0.00 0.53 0.00 219. 0.00 187.74 0.00 191.77 0.0 0.00 0.00 3302. 7 0 0 .83 6 0 69 0 58 VARANASI 3.86 401.54 0.0 49.3 0.64 321. 0.33 919. 0.93 124.9 0.00 0.79 0.00 33.8 0.08 28.48 0.00 83.53 0.0 0.00 5.84 1963. 0 7 28 87 1 5 0 63 Total 608. 61091. 103 8849 172. 4343 22.5 9118 15.7 5026. 44.2 1638 40.8 8037 45.0 6689.2 78.5 7093.6 0.0 0.00 1131.1 15098 50 61 .49 .38 13 6.87 2 .13 3 77 4 .83 8 .46 9 6 2 1 0 1 1.90

- 52 - Table -II.5(A) Social Auditing and inspection of NREGA work during 2010-11 Name of the Muster Roll Verify Social Audit Inspection Conducted Gram Sabha & BMCs Held Complaints Districts No. of No. of % of Total No. of % of Total No. of % of No. of % of Gram Gram VMC MC No. of No. of % of muster muster muster no. of GPs GP works works works works works Sabha Sabha meetin meetin compla compla Complain rolls used rolls rolls GPs where where taken inspect inspect inspect inspect held held (% g held g held ints ints ed verified verified social Social up ed at ed at ed at ed at (no.) of total (no.) (% of receive Dispos Disposed Audit Audit District District Block Block no. of total d ed held held level level level level GPs) no. of GPs)

Azamgarh 15556 9982 64.17 1617 1377 85.16 11440 1012 8.85 2272 19.86 1617 100.00 1617 100.00 1301 1273 97.85 Banda 0 0 0.00 0 0 0.00 0 0 0.00 0 0 0 0.00 0 0.00 0 0 0.00 Barabanki 46669 26361 56.49 1002 870 86.83 18813 395 2.10 4726 41.31 1002 100.00 386 38.52 68 38 55.88 Chandauli 95750 65250 68.15 620 620 100.00 6820 3550 52.05 6525 57.04 620 100.00 620 100.00 46 46 100.00 Chitrakoot 41369 12135 29.33 330 116 35.15 3130 136 4.35 410 3.584 330 100.00 159 48.18 27 22 81.48 Fatehpur 48618 40432 83.16 786 786 100.00 8623 861 9.98 6642 58.06 786 100.00 786 100.00 416 372 89.42 Gorakhpur 64732 48213 74.48 2466 2403 97.45 10543 7078 67.13 1233 10.78 1233 50.00 1233 50.00 589 570 96.77 Hamirpur 28916 11566 40.00 314 314 100.00 4618 336 7.28 1072 9.371 314 100.00 314 100.00 66 54 81.82 Hardoi 101950 101950 100.00 1101 1101 100.00 13562 630 4.65 8452 73.88 1101 100.00 1101 100.00 291 252 86.60 Jalaun 43249 43249 100.00 564 564 100.00 7096 710 10.01 5911 51.67 564 100.00 2 0.35 298 298 100.00 Jaunpur 41189 35011 85.00 1514 308 20.34 31538 380 1.20 6623 57.89 1514 100.00 0 0.00 383 348 90.86 Kaushambi 46790 45377 96.98 440 440 100.00 1717 989 57.60 728 6.364 440 100.00 0 0.00 57 51 89.47 Kheri 78617 36895 46.93 995 995 100.00 23775 2374 9.99 9976 87.2 995 100.00 3788 380.70 301 301 100.00 Kushi Nagar 96039 80425 83.74 956 956 100.00 21904 2025 9.24 21904 191.5 956 100.00 956 100.00 161 136 84.47 Lalitpur 42507 42507 100.00 340 34 10.00 3360 1274 37.92 3360 29.37 340 100.00 340 100.00 119 98 82.35 Mahoba 24324 17091 70.26 247 146 59.11 2951 464 15.72 1664 14.55 247 100.00 0 0.00 44 13 29.55 Mirzapur 118101 81567 69.07 758 758 100.00 5891 325 5.52 3041 26.58 758 100.00 758 100.00 112 108 96.43 Pratapgarh 90201 74438 82.52 1105 71 6.43 10313 394 3.82 8204 71.71 1105 100.00 997 90.23 330 111 33.64 Rae Bareli 46946 39904 85.00 700 403 57.57 10694 849 7.94 10694 93.48 700 100.00 4392 627.43 48 39 81.25 Sitapur 113272 85254 75.26 1329 1329 100.00 28606 1430 5.00 20140 176 1329 100.00 1329 100.00 338 338 100.00 Sonbhadra 87371 65413 74.87 501 0 0.00 5180 247 4.77 2115 18.49 501 100.00 1 0.20 145 142 97.93 Unnao 91098 68323 75.00 954 954 100.00 12687 1367 10.77 11066 96.73 954 100.00 954 100.00 57 45 78.95 Ambedkar 89.50 52.80 3.40 51.52 100.00 52.80 Nagar 39859 35672 786 415 6182 210 5894 786 415 135 135 100.00 Bahraich 40578 33552 82.69 903 903 100.00 19157 3042 15.88 18357 160.5 903 100.00 903 100.00 638 604 94.67 Ballia 70850 28342 40.00 833 833 100.00 14003 531 3.79 4835 42.26 833 100.00 833 100.00 249 222 89.16 Balrampur 77575 38810 50.03 667 350 52.47 9729 321 3.30 915 7.998 667 100.00 0 0.00 15 15 100.00 Basti 86143 65423 75.95 1047 1047 100.00 8978 914 10.18 5421 47.39 1047 100.00 1047 100.00 61 56 91.80 Budaun 30308 26220 86.51 1069 1069 100.00 15795 1289 8.16 12114 105.9 1069 100.00 1069 100.00 47 47 100.00 Etah 0 0 0.00 0 0 0.00 0 0 0.00 0 0 0 0.00 0 0.00 0 0 0.00 Farrukhabad 18750 14062 75.00 512 502 98.05 3025 790 26.12 2235 19.54 512 100.00 512 100.00 115 109 94.78 100.00 100.00 2.02 23.37 39.42 39.42 Gonda 2674 2674 2674 2674 2674 54 2674 1054 1054 0 0 #DIV/0! Jhansi 0 0 0.00 0 0 0.00 0 0 0.00 0 0 0 0.00 0 0.00 0 0 #DIV/0!

- 53 - Kanpur Dehat 0 0 0.00 0 0 0.00 0 0 0.00 0 0 0 0.00 0 0.00 0 0 #DIV/0! Maharajganj 56545 34196 60.48 777 777 100.00 6438 644 10.00 6438 56.28 777 100.00 777 100.00 130 116 89.23 Mau 69150 69150 100.00 598 598 100.00 19120 4120 21.55 13410 117.2 598 100.00 598 100.00 230 221 96.09 Sant Kabeer 92.02 77.93 5.49 51.14 100.00 0.00 Nagar 33850 31150 648 505 6377 350 5850 648 0 180 155 86.11 Shravasti 18762 14459 77.07 334 334 100.00 6052 376 6.21 1309 11.44 334 100.00 0 0.00 49 47 95.92 Siddharth 73.47 100.00 4.93 53.57 100.00 100.00 Nagar 58032 42634 999 999 13711 676 6128 999 999 41 38 92.68 Sultanpur 0 0 0.00 0 0 0.00 0 0 0.00 0 0 0 0.00 0 0.00 0 0 #DIV/0! Agra 20912 20912 100.00 636 636 100.00 6792 787 11.59 1772 15.49 636 100.00 636 100.00 198 191 96.46 Aligarh 71192 37309 52.41 853 712 83.47 7142 747 10.46 4176 36.5 853 100.00 853 100.00 656 623 94.97 Allahabad 84716 74450 87.88 1425 1425 100.00 19737 7420 37.59 4329 37.84 1425 100.00 0 0.00 812 784 96.55 Aurriya 9574 9574 100.00 441 391 88.66 7681 176 2.29 996 8.706 441 100.00 1 0.23 213 197 92.49 Bagpat 2636 1697 64.38 237 237 100.00 974 626 64.27 751 6.565 237 100.00 107 45.15 74 69 93.24 Bareilly 50400 44210 87.72 1007 1007 100.00 8256 566 6.86 7690 67.22 1007 100.00 1007 100.00 54 54 100.00 Bijnour 35966 21157 58.83 959 959 100.00 11997 1191 9.93 5109 44.66 959 100.00 959 100.00 256 235 91.80 Bulandshahar 10331 6729 65.13 889 37 4.16 6184 30 0.49 481 4.205 889 100.00 889 100.00 78 70 89.74 C.S. Ji M. 0.00 0.00 0.00 0 0.00 0.00 Nagar 0 0 0 0 0 0 0 0 0 0 0 0.00 Deoria 0 0 0.00 1017 1017 100.00 1712 1120 65.42 1712 14.97 1017 100.00 1385 136.18 35 26 74.29 Etawah 0 0 0.00 0 0 0.00 0 0 0.00 0 0 0 0.00 0 0.00 0 0 0.00 Faizabad 72314 65331 90.34 729 663 90.95 12531 2135 17.04 8302 72.57 729 100.00 614 84.22 165 162 98.18 Firozabad 26460 26460 100.00 510 510 100.00 4392 718 16.35 4392 38.39 510 100.00 510 100.00 372 368 98.92 Gautam Budh 100.00 7.82 18.29 4.1 100.00 0.00 Nagar 992 992 243 19 574 105 469 243 0 0 0 #DIV/0! Gazipur 61286 61286 100.00 1050 1050 100.00 19560 5712 29.20 18543 162.1 1050 100.00 1050 100.00 361 342 94.74 Ghaziabad 6024 5053 83.88 405 346 85.43 1096 424 38.69 656 5.734 405 100.00 158 39.01 30 30 100.00 J.R. Phule 68.42 100.00 5.26 10.11 100.00 0.00 Nagar 52093 35643 484 484 7979 420 1157 484 0 173 151 87.28 Kannauj 17590 13170 74.87 441 441 100.00 8613 4023 46.71 0 0 441 100.00 441 100.00 195 155 79.49 Kanpur Nagar 78216 67290 86.03 557 557 100.00 4658 1442 30.96 3210 28.06 557 100.00 557 100.00 268 267 99.63 Kashiram 52.15 100.00 7.35 6.713 100.00 0.51 Nagar 12956 6756 389 389 2162 159 768 389 2 276 264 95.65 Lucknow 31142 29988 96.29 475 127 26.74 7359 1579 21.46 3572 31.22 475 100.00 384 80.84 148 148 100.00 Mahamaya 76.47 15.81 1.36 2.185 100.00 0.00 Nagar 12136 9280 430 68 4038 55 250 430 0 199 170 85.43 Mainpuri 29893 26442 88.46 503 490 97.42 16676 2299 13.79 4262 37.26 503 100.00 503 100.00 45 40 88.89 Mathura 10831 7343 67.80 479 10 2.09 4125 365 8.85 3055 26.7 479 100.00 856 178.71 367 341 92.92 Meerut 5184 4998 96.41 459 173 37.69 1811 221 12.20 1443 12.61 459 100.00 30 6.54 30 30 100.00 Moradabad 51366 45768 89.10 960 774 80.63 11621 52 0.45 3311 28.94 960 100.00 589 61.35 421 421 100.00 7290 5465 74.97 687 687 100.00 3578 2150 60.09 2860 25 687 100.00 687 100.00 121 116 95.87 Pilibhit 86909 82933 95.43 599 540 90.15 13419 8421 62.75 8585 75.04 599 100.00 599 100.00 167 162 97.01 Rampur 19658 8871 45.13 580 17 2.93 5045 309 6.12 1458 12.74 580 100.00 489 84.31 123 119 96.75 Saharanpur 27886 27886 100.00 766 766 100.00 12509 258 2.06 1584 13.85 766 100.00 766 100.00 181 166 91.71 Sant Ravidas 43.12 48.06 2.69 20.54 100.00 27.40 Nagar 8116 3500 489 235 7440 200 2350 489 134 49 44 89.80

- 54 - 325620 179091 55.00 922 922 100.00 21316 1312 6.16 4618 40.37 922 100.00 922 100.00 313 311 99.36 Varanasi 41731 41731 100.00 702 683 97.29 12815 821 6.41 8620 75.35 702 100.00 1 0.14 143 126 88.11 75.33 82.51 13.69 33281 2909 94.38 84.77 U.P. 3237760 2439002 50809 41923 628294 85986 9 47956 43069 13610 12602 92.59

- 55 - Table-II.5(B) Social Auditing and inspection of NREGA work during 2009-10

Name of Muster Roll Verify Social Audit Inspection Conducted Gram Sabha & BMCs Held Complaints the No. of No. of % of Total No. of % of Total No. of % of No. of % of Gram Gram VMC MC No. of No. of % of Districts muster muster muster no. of GPs GP works works works works works Sabha Sabha meetin meetin compla compla Complai rolls used rolls rolls GPs where where taken inspect inspect inspect inspect held held (% g held g held ints ints ned verified verified social Social up ed at ed at ed at ed at (no.) of total (no.) (% of receive Dispos Disposed Audit Audit District District Block Block no. of total d ed held held level level level level GPs) no. of GPs) Azamgarh 17565 9238 52.59 1617 991 61.29 13350 480 3.60 3862 28.93 1265 78.23 1196 73.96 896 882 98.44

Banda 8890 8800 98.99 437 437 100.00 437 417 95.42 437 100.00 437 100.00 437 100.00 96 96 100.00 Barabanki 50177 32831 65.43 1002 1002 100.00 13337 458 3.43 6358 47.67 1002 100.00 976 97.41 341 319 93.55 Chandauli 98000 44107 45.01 620 620 100.00 7635 765 10.02 6311 82.66 620 100.00 595 95.97 211 211 100.00 Chitrakoot 20457 6344 31.01 330 128 38.79 4369 77 1.76 854 19.55 323 97.88 313 94.85 98 73 74.49 Fatehpur 50916 31587 62.04 786 786 100.00 9963 898 9.01 5676 56.97 786 100.00 786 100.00 457 446 97.59 Gorakhpur 48817 31242 64.00 1233 1233 100.00 8261 685 8.29 5357 64.85 1233 100.00 1233 100.00 430 400 93.02 Hamirpur 41156 19560 47.53 314 314 100.00 3300 127 3.85 854 25.88 314 100.00 314 100.00 155 138 89.03

Hardoi 75423 63451 84.13 1101 460 41.78 16526 1249 7.56 6469 39.14 1101 100.00 1101 100.00 463 405 87.47 Jalaun 53180 40200 75.59 564 564 100.00 8834 885 10.02 4932 55.83 564 100.00 3 0.53 482 482 100.00 Jaunpur 16760 12006 71.63 1514 810 53.50 8120 556 6.85 2274 28.00 0 0.00 0 0.00 401 373 93.02

Kaushambi 35064 30925 88.20 440 440 100.00 3915 342 8.74 2889 73.79 440 100.00 440 100.00 136 132 97.06 Kheri 61559 20208 32.83 995 986 99.10 11954 1194 9.99 8356 69.90 995 100.00 2213 222.41 121 121 100.00 Kushi 48561 32561 67.05 956 956 100.00 7256 1752 24.15 4210 58.02 956 100.00 956 100.00 362 321 88.67 Nagar Lalitpur 36758 32548 88.55 340 340 100.00 4186 1238 29.57 4186 100.00 340 100.00 340 100.00 104 94 90.38

Mahoba 17567 15639 89.02 247 113 45.75 2269 318 14.01 1733 76.38 247 100.00 247 100.00 39 39 100.00 Mirzapur 98888 78622 79.51 758 515 67.94 5534 45 0.81 4044 73.08 758 100.00 714 94.20 272 266 97.79 Pratapgarh 78030 65569 84.03 1105 237 21.45 9398 225 2.39 7582 80.68 1105 100.00 1008 91.22 331 321 96.98

Rae 63425 47568 75.00 965 821 85.08 16170 1504 9.30 16170 100.00 965 100.00 4392 455.13 65 64 98.46 Bareli Sitapur 97171 79539 81.85 1329 1329 100.00 19242 620 3.22 7847 40.78 1329 100.00 1329 100.00 687 629 91.56 Sonbhadra 165417 111742 67.55 501 501 100.00 3838 618 16.10 2514 65.50 501 100.00 501 100.00 223 212 95.07 Unnao 106700 75757 71.00 954 954 100.00 30150 3869 12.83 28592 94.83 954 100.00 954 100.00 157 145 92.36

- 56 - Ambedkar 39058 32514 83.25 786 786 100.00 3595 208 5.79 3138 87.29 786 100.00 786 100.00 205 205 100.00 Nagar Bahraich 60584 28999 47.87 903 903 100.00 12128 312 2.57 9679 79.81 903 100.00 903 100.00 296 267 90.20

Ballia 29285 14232 48.60 833 827 99.28 7199 763 10.60 2573 35.74 833 100.00 833 100.00 336 254 75.60 Balrampur 74157 22247 30.00 667 201 30.13 8651 161 1.86 936 10.82 667 100.00 0 0.00 181 181 100.00 Basti 42578 41328 97.06 1047 1047 100.00 13876 1211 8.73 9468 68.23 1047 100.00 1047 100.00 98 95 96.94 Budaun 29546 28751 97.31 1069 1069 100.00 13904 1288 9.26 13845 99.58 1069 100.00 1069 100.00 36 36 100.00 Etah 20486 8586 41.91 509 509 100.00 4351 341 7.84 1012 23.26 509 100.00 509 100.00 269 224 83.27 Farrukhab 11174 8778 78.56 512 485 94.73 3282 307 9.35 2113 64.38 512 100.00 385 75.20 155 140 90.32 ad Gonda 4993 4993 100.00 4993 4928 98.70 4993 103 2.06 4993 100.00 1054 21.11 1054 21.11 16 16 100.00 Jhansi 18022 13365 74.16 437 437 100.00 9177 515 5.61 5255 57.26 437 100.00 437 100.00 309 309 100.00 Kanpur 95510 92818 97.18 612 612 100.00 38976 795 2.04 36118 92.67 612 100.00 612 100.00 345 345 100.00 Dehat Maharajg 48592 29155 60.00 777 777 100.00 5323 532 9.99 5323 100.00 777 100.00 777 100.00 454 430 94.71 anj Mau 64265 30219 47.02 596 415 69.63 9431 227 2.41 9205 97.60 596 100.00 596 100.00 93 93 100.00 S. K 30789 29718 96.52 648 648 100.00 1795 465 25.91 3142 175.04 1640 253.09 0 0.00 160 142 88.75 Nagar Shravasti 13783 4009 29.09 334 333 99.70 3098 557 17.98 1690 54.55 334 100.00 0 0.00 98 89 90.82

Siddharth 52945 36447 68.84 999 999 100.00 12476 603 4.83 3858 30.92 999 100.00 999 100.00 43 42 97.67 Nagar Sultanpur 26554 13644 51.38 1262 1262 100.00 7911 691 8.73 7911 100.00 1262 100.00 1262 100.00 1262 230 18.23 Agra 16857 16857 100.00 636 636 100.00 5426 912 16.81 2645 48.75 636 100.00 636 100.00 339 321 94.69 Aligarh 55875 53156 95.13 853 704 82.53 106 73 68.87 106 100.00 853 100.00 853 100.00 565 524 92.74 Allahabad 9120 6340 69.52 1425 1425 100.00 17455 423 2.42 1489 8.53 1425 100.00 0 0.00 699 565 80.83 Aurriya 2759 1785 64.70 441 305 69.16 3374 225 6.67 0 0.00 441 100.00 441 100.00 365 358 98.08 Bagpat 3209 1994 62.14 237 223 94.09 1474 526 35.69 1178 79.92 237 100.00 235 99.16 85 85 100.00 Bareilly 49861 28214 56.59 1007 511 50.74 10387 317 3.05 1761 16.95 1007 100.00 1078 107.05 237 237 100.00

Bijnour 37046 21394 57.75 959 924 96.35 8693 491 5.65 2698 31.04 959 100.00 1059 110.43 292 292 100.00 Bulandsh 12041 7542 62.64 889 470 52.87 4781 146 3.05 1110 23.22 889 100.00 889 100.00 230 222 96.52 ahar Deoria 39210 22386 57.09 1017 1017 100.00 8890 923 10.38 5648 63.53 1017 100.00 1250 122.91 423 402 95.04 Etawah 10174 8287 81.45 420 307 73.10 3515 271 7.71 2313 65.80 420 100.00 200 47.62 123 123 100.00 Faizabad 50551 46723 92.43 729 729 100.00 6484 1058 16.32 4621 71.27 722 99.04 1180 161.87 282 250 88.65

- 57 - Firozabad 18358 16452 89.62 510 510 100.00 1176 385 32.74 905 76.96 510 100.00 510 100.00 205 202 98.54

G.B. 755 755 100.00 243 20 8.23 238 68 28.57 238 100.00 32 13.17 0 0.00 21 20 95.24 Nagar Gazipur 8952 8952 100.00 1050 1050 100.00 7192 548 7.62 3494 48.58 1050 100.00 1050 100.00 361 342 94.74 Ghaziabad 5979 3673 61.43 405 391 96.54 1657 65 3.92 835 50.39 291 71.85 111 27.41 26 19 73.08

J.R. Phule 25549 16931 66.27 484 484 100.00 3925 456 11.62 1437 36.61 484 100.00 484 100.00 128 114 89.06 Nagar Kannauj 29246 14433 49.35 441 410 92.97 3621 1197 33.06 2063 56.97 441 100.00 73 16.55 291 258 88.66 Kanpur 77210 59870 77.54 557 557 100.00 4873 710 14.57 2470 50.69 557 100.00 557 100.00 291 289 99.31 Nagar Kashiram 24852 10586 42.60 389 389 100.00 1243 217 17.46 501 40.31 389 100.00 309 79.43 242 239 98.76 Nagar Lucknow 27482 23058 83.90 483 131 27.12 11816 1544 13.07 5046 42.70 483 100.00 483 100.00 171 170 99.42 Mahamay 13911 9438 67.85 430 233 54.19 2212 109 4.93 1415 63.97 430 100.00 429 99.77 1 1 100.00 a Nagar Mainpuri 51372 19099 37.18 503 407 80.91 5344 751 14.05 5910 110.59 503 100.00 503 100.00 68 60 88.24 Mathura 12721 9126 71.74 479 372 77.66 2095 587 28.02 1254 59.86 479 100.00 1427 297.91 1196 1178 98.49 Meerut 3428 1539 44.89 459 263 57.30 2033 129 6.35 768 37.78 458 99.78 232 50.54 33 33 100.00 Moradabad 40736 29833 73.23 960 960 100.00 9678 80 0.83 3029 31.30 960 100.00 960 100.00 496 496 100.00 Muzaffarn 6686 2962 44.30 687 687 100.00 2279 414 18.17 942 41.33 687 100.00 687 100.00 351 349 99.43 agar Pilibhit 102610 92407 90.06 599 599 100.00 5567 2839 51.00 44 0.79 599 100.00 599 100.00 300 290 96.67 Rampur 16087 5640 35.06 580 43 7.41 7773 70 0.90 1520 19.55 580 100.00 292 50.34 153 151 98.69 Saharanpur 29231 29231 100.00 766 766 100.00 6129 292 4.76 2242 36.58 766 100.00 766 100.00 192 191 99.48 S.R. 17830 10700 60.01 489 236 48.26 3126 118 3.77 1465 46.87 320 65.44 134 27.40 21 12 57.14 Nagar Shahjaha 49504 33940 68.56 922 922 100.00 10248 1608 15.69 7869 76.79 922 100.00 922 100.00 624 624 100.00 npur Varanasi 23193 21248 91.61 702 140 19.94 8991 795 8.84 5320 59.17 702 100.00 702 100.00 315 292 92.70 U.P. 282519 196439 69.53 55843 47596 85.23 54001 45748 8.47 32410 60.02 50521 90.47 50368 90.20 20009 17976 89.84 7 8 1 2

- 58 - Table- II.5(C) Social Auditing and inspection of NREGA work during 2008-09

Name of the Muster Roll Verify Social Audit Inspection Conducted Gram Sabha & BMCs Held Complaints Districts No. of No. of % of Total No. % of Total No. of % of No. of % of Gram Gram VMC MC No. No. of % of muster muster muster no. of of GP works works works works works Sabha Sabha meeting meeting of compla Compl rolls rolls rolls GPs GPs where taken inspected inspected inspected inspected held held (% held held (% comp ints ained used verified verified where Social up at at at Block at Block (no.) of total (no.) of total laints Dispos Dispos social Audit District District level level no. of no. of recei ed ed Audit held level level GPs) GPs) ved held Azamgarh 37125 30071 81.00 1617 1617 100 20086 755 3.76 10054 50.05 1617 100.00 1478 91.40 175 174 99.43 Banda 3656 3650 99.84 455 444 97.58 437 424 97.03 312 71.40 437 98.42 437 98.42 49 47 95.92 Barabanki 37280 22814 61.20 1002 855 85.33 8855 395 4.46 3100 35.01 1002 117.19 802 93.80 100 100 100.00 Chandauli 9825 8750 89.06 620 620 100 2450 250 10.20 2150 87.76 620 100.00 280 45.16 55 55 100.00 Chitrakoot 13460 2985 22.18 330 289 87.58 4976 168 3.38 943 18.95 330 114.19 330 114.19 82 74 90.24 Fatehpur 52116 18604 35.70 788 524 66.50 6118 557 9.10 3672 60.02 788 150.38 788 150.38 110 68 61.82 Gorakhpur 28596 16393 57.33 1233 1191 96.59 4362 144 3.30 2896 66.39 1233 103.53 1211 101.68 35 35 100.00 Hamirpur 34458 6119 17.76 314 314 100 2776 144 5.19 865 31.16 314 100.00 314 100.00 49 42 85.71 Hardoi 18242 9445 51.78 1101 1101 100 11713 359 3.06 4315 36.84 1101 100.00 1101 100.00 331 318 96.07 Jalaun 38352 22045 57.48 564 421 74.65 6374 621 9.74 5364 84.15 564 133.97 564 133.97 148 148 100.00 Jaunpur 10337 6830 66.07 1514 1241 81.97 4588 703 15.32 787 17.15 1514 122.00 1022 82.35 144 128 88.89 Kaushambi 21675 8125 37.49 440 165 37.5 2909 107 3.68 560 19.25 440 266.67 440 266.67 28 22 78.57 Kheri 47168 14159 30.02 995 995 100 10059 1007 10.01 4823 47.95 995 100.00 3873 389.25 42 42 100.00 Kushi Nagar 8079 8079 100.00 956 956 100 3620 2898 80.06 1720 47.51 956 100.00 956 100.00 77 45 58.44 Lalitpur 34426 28617 83.13 340 340 100 6748 2024 29.99 6748 100.00 340 100.00 340 100.00 65 65 100.00 Mahoba 17998 11121 61.79 247 247 100 3547 354 9.98 2491 70.23 247 100.00 247 100.00 16 16 100.00 Mirzapur 28298 22235 78.57 758 758 100 3303 305 9.23 2411 72.99 758 100.00 829 109.37 65 64 98.46 Pratapgarh 74511 39361 52.83 1105 996 90.14 4204 425 10.11 3245 77.19 1105 110.94 1092 109.64 93 86 92.47 Rae Bareli 25984 22410 86.25 7827 7827 100 7827 783 10.00 7827 100.00 965 12.33 4392 56.11 92 87 94.57 Sitapur 43595 7439 17.06 1329 1329 100 11612 488 4.20 2343 20.18 1329 100.00 1329 100.00 129 128 99.22 Sonbhadra 98418 72415 73.58 501 501 100 4543 938 20.65 2998 65.99 501 100.00 501 100.00 391 387 98.98 Unnao 48751 31710 65.04 954 954 100 29717 2912 9.80 26210 88.20 954 100.00 954 100.00 130 97 74.62 Ambedkar 39762 32135 80.82 788 788 100 2909 179 6.15 2286 78.58 788 100.00 788 100.00 91 91 100.00 Nagar Bahraich 33421 25168 75.31 28333 22466 79.29 7953 2672 33.60 24056 302.48 903 4.02 903 4.02 124 113 91.13 Ballia 24175 19979 82.64 833 796 95.56 3693 419 11.35 2597 70.32 833 104.65 809 101.63 215 62 28.84 Balrampur 23165 15340 66.22 667 667 100 4921 317 6.44 1487 30.22 667 100.00 498 74.66 25 25 100.00 Basti 13586 11345 83.51 1047 1046 99.90 2326 398 17.11 1227 52.75 1047 100.10 1047 100.10 97 68 70.10 Budaun 10452 10452 100.00 1069 1069 100 5641 573 10.16 5641 100.00 1069 100.00 1069 100.00 40 32 80.00 Etah 24686 23352 94.60 898 639 71.16 1877 313 16.68 748 39.85 898 140.53 690 107.98 202 178 88.12 Farrukhabad 1780 582 32.70 512 322 62.89 843 137 16.25 406 48.16 512 159.01 319 99.07 35 33 94.29 Gonda 3406 3406 100.00 3406 3393 99.62 3406 124 3.64 3406 100.00 1054 31.06 1054 31.06 84 84 100.00 Jhansi 44962 29781 66.24 437 437 100 7575 922 12.17 4851 64.04 437 100.00 437 100.00 98 85 86.73 Kanpur Dehat 9778 4355 44.54 612 416 67.97 1700 618 36.35 997 58.65 612 147.12 612 147.12 35 35 100.00

- 59 - Maharajganj 36229 21737 60.00 777 777 100 3741 374 10.00 3741 100.00 777 100.00 777 100.00 125 105 84.00 Mau 86410 71330 82.55 596 581 97.48 3192 120 3.76 1240 38.85 596 102.58 596 102.58 42 42 100.00 Sant Kabeer 2870 2174 75.75 648 525 81.02 1133 522 46.07 743 65.58 648 123.43 59 11.24 24 14 58.33 Nagar Shravasti 21677 17144 79.09 334 333 99.70 2193 312 14.23 1735 79.12 334 100.30 0 0.00 62 48 77.42 Siddharth 60307 27479 45.57 1009 1009 100 3916 345 8.81 1539 39.30 1009 100.00 1009 100.00 23 22 95.65 Nagar Sultanpur 26574 18571 69.88 1262 1262 100 5718 770 13.47 5718 100.00 1262 100.00 1262 100.00 168 164 97.62 Agra 769 769 100.00 636 364 57.23 1853 246 13.28 598 32.27 636 174.73 636 174.73 50 50 100.00 Aligarh 16868 9725 57.65 853 487 57.09 1458 160 10.97 816 55.97 853 175.15 242 49.69 70 70 100.00 Allahabad 124865 113060 90.55 1425 996 69.89 3205 1047 32.67 2158 67.33 1425 143.07 1425 143.07 42 42 100.00 Aurriya 1047 600 57.31 441 118 26.76 1483 154 10.38 669 45.11 441 373.73 144 122.03 48 40 83.33 Bagpat 2363 1962 83.03 237 181 76.37 440 38 8.64 205 46.59 237 130.94 147 81.22 85 85 100.00 Bareilly 34267 15126 44.14 1008 1008 100 5198 2022 38.90 3176 61.10 1008 100.00 1008 100.00 161 161 100.00 Bijnour 32031 13366 41.73 959 687 71.64 4077 150 3.68 1440 35.32 959 139.59 1261 183.55 220 150 68.18 Bulandshahar 7107 2349 33.05 889 91 10.24 2608 13 0.50 873 33.47 889 976.92 943 1036.26 13 13 100.00 Deoria 41457 12408 29.93 1017 615 60.47 2714 202 7.44 1110 40.90 1017 165.37 1575 256.10 12 12 100.00 Etawah 3126 2752 88.04 420 255 60.71 905 181 20.00 683 75.47 420 164.71 356 139.61 11 11 100.00 Faizabad 29509 23789 80.62 729 613 84.09 2746 378 13.77 2073 75.49 729 118.92 729 118.92 147 142 96.60 Firozabad 8342 3182 38.14 510 510 100 1223 197 16.11 586 47.91 510 100.00 95 18.63 42 39 92.86 Gautam Budh 75 50 66.67 243 4 1.646 84 16 19.05 0 0.00 243 6075.00 0 0.00 1 1 100.00 Nagar Gazipur 2330 1620 69.53 1050 1021 97.24 2330 1021 43.82 2330 100.00 1050 102.84 1021 100.00 21 21 100.00 Ghaziabad 514 393 76.46 367 113 30.7902 172 54 31.40 95 55.23 405 358.41 95 84.07 2 2 100.00 J.R. Phule 12648 3872 30.61 484 476 98.35 2383 169 7.09 714 29.96 484 101.68 484 101.68 141 131 92.91 Nagar Kannauj 15379 8253 53.66 441 117 26.53 2449 160 6.53 1138 46.47 441 376.92 2 1.71 155 104 67.10 Kanpur Nagar 43769 11728 26.80 557 65 11.6697 3096 168 5.43 1454 46.96 557 856.92 75 115.38 177 151 85.31 Lucknow 11900 11900 100.00 511 75 14.68 4120 115 2.79 800 19.42 511 681.33 496 661.33 32 28 87.50 Mahamaya 6718 2557 38.06 430 98 22.79 1545 36 2.33 827 53.53 430 438.78 0 0.00 146 107 73.29 Nagar Mainpuri 15018 6660 44.35 503 465 92.45 4205 584 13.89 1461 34.74 503 108.17 503 108.17 50 50 100.00 Mathura 9974 5317 53.31 479 22 4.59 1287 93 7.23 896 69.62 479 2177.27 426 1936.36 831 703 84.60 Meerut 2592 576 22.22 460 43 9.35 932 58 6.22 314 33.69 460 1069.77 194 451.16 23 18 78.26 Moradabad 20992 6750 32.16 960 95 9.90 5496 414 7.53 1717 31.24 960 1010.53 926 974.74 277 277 100.00 Muzaffarnagar 11622 2180 18.76 687 279 40.61 1597 318 19.91 897 56.17 687 246.24 406 145.52 206 171 83.01 Pilibhit 31537 25399 80.54 599 550 91.8197 3952 1750 44.28 2964 75.00 599 108.91 599 108.91 247 224 90.69 Rampur 4519 932 20.62 580 39 6.72 1095 88 8.04 277 25.30 580 1487.18 31 79.49 191 158 82.72 Saharanpur 9689 7112 73.40 782 212 27.11 1556 158 10.15 839 53.92 782 368.87 598 282.08 164 154 93.90 Sant Ravidas 3965 680 17.15 489 64 13.09 1831 205 11.20 635 34.68 489 764.06 223 348.44 78 68 87.18 Nagar Shahjahanpur 74700 24117 32.29 922 818 88.7202 3623 603 16.64 2432 67.13 922 112.71 922 112.71 228 160 70.18 Varanasi 9672 3837 39.67 702 135 19.23 5806 58 1.00 4830 83.19 1 0.74 0 0.00 161 125 77.64 u.p. 1784954 1070728 59.99 88588 70827 79.95 299030 36732 12.28 197259 65.97 51263 72.38 50771 71.68 7928 6897 87.00

- 60 - - 61 - - 62 - - 63 - II.3. Projects Completed and in Progress under NREGA

In this section the analysis was carried out on the total works completed and project in progress under NREGA over the period of last three years. Table II.3.a, II.3b and II.3c show the picture of total works completed and projects in progress for the year 2008-09, 2009-10 and 2010-11. A total of 3,19,889 projects were completed and 9,26,175 projects were still under different stages for the execution in the year 2010-11. The projects completed or in progress had a set of activities such as rural connectivity, Flood control, water conservation and harvesting, drought proofing, minor irrigation provision of irrigation facilities for land development renovation of traditional water bodies, land development Rajeev Gandhi centre and some other activities granted for NREGA works. The table II.3a reveals that in the year 2010-11 a total of 1,35,589 projects of rural connectivity were completed and has first place in the different components of NREGA. The water conservation and harvesting projects (27,571) stood at the second place. The least numbers of projects completed were projects of Rajeev Gandhi centre. As far as projects in progress are concerned the highest number was found under rural connectivity of which 36,217 projects were still under different stages of execution. The least numbers of projects in progress were projects of Rajeev Gandhi Centre.

The district-wise analysis related to the works completed and projects in progress indicates that district Kushi Nagar completed 18,194 projects which is highest among all districts and district Azamgarh was on top for 24,986 projects on going. The least numbers of projects were completed in the Gautam Buddha Nagar district of one projects of Rajeev Gandhi and in 281 projects were still under different stages of execution. Thus, highest numbers of projects were completed in Kushi Nagar District.

Table-II.3b reveals the details information about the total works completed and projects in progress for the year 2009-10 and a total of projects belonging to different activities were completed whereas 6,84,019 projects were still under different stages of execution. In this case also the highest number of projects completed belonged to rural connectivity and in progress belonged to water conservation and harvesting (1,18,030 projects). The Rajeev Gandhi centre projects stood at the lowest place and district-wise analysis shows that has completed highest 1276 projects and Sonbhadra has 22,915 projects in progress. Sitapur District stood on second place in completing the projects and completed 1024 projects. Incase of ongoing projects Rae completed 21,024 projects and stood on second place too. Thus, Jhansi as well as Stapur completed the highest numbers of projects.

II.4. District-wise Expenditure in work completed and under Progress in NREGA

Table II.4A presents about the total expenditure for the work completed and work in progress for the year 2010-11. During the year Rs. 155008.37 lakhs were spent on work completed and Rs. 367447.35 lakhs spent on work in progress. Among the various components road connection and water conservation and harvesting components were top in respect of money expending. Table-II.4A worked out the amount spent on Projects under NREGA .Table II.4B shows the total expenditure on different completed work and projects in progress for the year 2009-10. The table reflects that Rs. 39320.293 lakhs were spent on completed work and Rs. 387960.65 lakhs were spent on ongoing projects. During this year around Rs. 1754.0872 lakhs was spent on completed rural connectivity works which was highest amount among the various components followed by water conservation and harvesting works where an amount of Rs. 884.1 was spent on completed works. Rural connectivity works topped the list of projects in respect of expenditure for the projects in progress works and an amount of Rs. 884.1 was spent. Thus, it may be concluded that rural connectivity component has an important place within the NREGA activities. The district-wise analysis shows that among the districts, Jhansi district was on top as highest amount of Rs. 973.1614 Lahks were spent on completed projects and the Sonbhadra district in ongoing projects where Rs. 21783.114 lakhs were spent. Hardoi district obtained second place in spending expenditure of around Rs. 706.47 and Banda district in spending expenditure of Rs. 12552.552 lakhs on ongoing projects. Thus, Jhansi district had spent maximum on projects completed in the year 2008-09, Rs. 11,31,109 lakhs were spent on completed works and Rs 15,09,819 lakhs on ongoing projects. The same trend was observed in this respect. Rural connectivity and water conservation and harvesting components were also highest

- 65 - amount spending components on completing work and ongoing projects. During the year an amount of Rs. 60,85,044 lakhs spent on completed works and Rs. 6109161 lakhs on ongoing projects of rural connectivity component. Water conservation and harvesting component and mirror irrigation component is also a big share in respect of spending amount. Thus, rural connectivity works were given maximum importance during 2008- 09.

II.5 (a) Social Auditing and Inspection of NREGA Works (2008-09-2010-11)

The data analysed in table-II.5 (a) indicate that in the whole U.P. State out of the 70827 G.Ps reported during 2008-09 where social audit was held, the highest i.e. 22,466 GPs were reported to be socially audited in Baharaich district against the lowest i.e. 4 only in Gautam Budha Nagar district. Thus, Baharaich district was on top in getting social audit done under NREGA. In terms of percentage there were more than 20 such districts where in 100 percent social auditing was done in this state. While during the year 2009-10 and 2010-11 the numbers of G.Ps socially auditing were found to be highest i.e. 4928 in against the lowest i.e. 20 in Gautam Budha district in 2009-10 and the highest i.e. 2674 in Gonda district against the lowest i.e. 19 in Gautam Budha Nagar during 2010-11 respectively. Thus, Baharaich as well as Gonda were such districts where in maximum social audits were done till the year 2010-11 and Gautam Budha Nagar was the district wherein minimum social audit were done till 2010-11.

Regarding inspections conducted during the same span of period i.e. 2008-09 to 2010-11, Table II.5 (a) shows that at the districts level the maximum i.e. 2858 inspections were conducted in Kushi Nagar district. While at blocks level the maximum i.e. 26,210 inspections were conducted in during 2008-09. But during the year 2009- 10 at district level the maximum i.e. 3869 inspections were conducted in Unnao district and at block level the maximum i.e. 36,118 inspections were conducted in Kanpur Dehat. While during the year 2010-11 at district level the maximum i.e. 8421 inspections were conducted in and at block level the maximum i.e. 21,904 inspections were conducted in Kushi Nagar district. Therefore it is obviously clear that Kushinagar,

- 66 - Unnao, Kanpur Dehat and Pilibhit districts of the state were more keen for NREGA works during the span of 2008-09 to 2010-11.The data are contained in Table II.5 (a).

II.6. (a) The NREGA Payment Processed through Banks/Post Offices during 2008-09 to 2010-11

The payment of NREGA disbursed through banks accounts as well as Post Offices accounts during the span of 2008-09 to 2010-11 worked out in table II.6 (a) indicates that during the year 2008-09 the number of individual bank accounts opened were found to be the highest i.e. 236105 in Rae Bareli district and the number of joint bank accounts opened were highest i.e. 185732 in Kushinagar district. While the amount of wage disbursed through bank accounts during 2008-09 was found to be highest Rs. 8004 lakhs in Sonbhadra district. While during 2009-10 the number of individual bank accounts opened were highest i.e. 269475 in Sitapur district and the number of joint bank account opened were highest i.e. 51238 in . The amount of wages disbursed through bank accounts during 2009-10 was found to be the highest i.e. Rs. 14085.6 lakhs in Sonbhadra district. While during 2010-11 the number of individual bank accounts opened were highest i.e. 250986 in Baharaich district and the number of joint bank accounts opened were highest i.e. 204186 in . The amount of wages disbursed through banks was found to be highest i.e. Rs. 80,176 lakhs in Sitapur district. Thus, districts Rae Bareli, Kushi Nagar, Sonbhadra, Sitapur, Aligarh, Bahraich and Ghazipur were very keen in payment process under NREGA during 2008-09 to 2010-11.

- 67 - Table-II.6 (a): The NREGA payment processed though banks/post office during 2008-09 No. of Bank Account Amt. of No. of post Office Opened wages Account Opened Amt. of Total Accounts dispurs wages ed dispursed through through Total bank per office Amt. account accounts Disbursed Name of s (Rs. In (Rs. In Individu (Rs. In District Individual Joint Lakhs) Individual Joint Lakhs) al Joint Total Lakhs)

1 2 3 4 5 6 7 Azamgarh 164978 0 6055 0 0 0 164978 0 164978 6055 Banda 68266 0 26221677 0 80.51 69943 0 69943 2703 155122 7527 3798 5859 829 43.24 160981 8356 169337 3841 Barabanki (2.89) (2.11) (2.44) (4.11) (13.88) (1.05) (2.93) (2.30) (2.89) (2.40) Chandauli 123 0 0 0 0 0 123 0 123 0 Chitrakoot 49783 14793 1678 464 234 7.72 50247 15027 65274 1686 Fatehpur 137941 0 4533 29 0 0 137970 0 137970 4533 Gorakhpur 68820 1514 2602 214 10 0 69034 1524 70558 2602 Hamirpur 61904 17768 3760 0 0 0 61904 17768 79672 3760 Hardoi 190393 20134 5374 168 0 0.46 190561 20134 210695 5374 Jalaun 60446 31113 4802 0 0 0 60446 31113 91559 4802 Jaunpur 97737 0 3824 58 0 0 97795 0 97795 3824 Kaushambi 44168 130 1898 0 0 0 44168 130 44298 1898 Kheri 186933 0 41682101 0 22.45 189034 0 189034 4190 0 185732 3671 0 1723 1148 0 187455 187455 4819 Kushi Nagar (0.00) (52.06) (2.36) (0.00) (28.85) (27.88) (0.00) (51.68) (3.20) (3.01) Lalitpur 42351 4397 1665 5495 473 201.9 47846 4870 52716 1867 Mahoba 50712 650 1550 155 0 0 50867 650 51517 1550 Mirzapur 114539 11389 3212 51 0 0.45 114590 11389 125979 3212 Pratapgarh 91724 45 268019610 0 217.4 111334 45 111379 2897 Rae Bareli 236105 0 3390 326 0 0 236431 0 236431 3390 Sitapur 205574 14 7801 1077 0 0.898 206651 14 206665 7802 Sonbhadra 107359 7615 8004 1703 217 41.2 109062 7832 116894 8045 Unnao 197310 0 5924 0 0 0 197310 0 197310 5924 Ambedkar Nagar 129728 0 1447 0 0 0 129728 0 129728 1447

Bahraich 129115 0 34121771 0 649 130886 0 130886 4061 Ballia 70311 0 1463 0 0 0 70311 0 70311 1463 Balrampur 89824 1566 2341 0 0 0 89824 1566 91390 2341 Basti 111846 815 1425 9516 0 315.6 121362 815 122177 1741

- 68 - Table-II.6 (a) The NREGA payment processed though banks/post office during 2008-09 No. of Bank Account Amt. of No. of post Office Opened wages Account Opened Amt. of Total Accounts dispurs wages ed dispursed through through Total bank per office Amt. account accounts Disbursed Name of s (Rs. In (Rs. In Individu (Rs. In District Individual Joint Lakhs) Individual Joint Lakhs) al Joint Total Lakhs)

1 2 3 4 5 6 7 Budaun 86621 0 3795 0 0 0 86621 0 86621 3795 41386 66 1946 4161 3 189.3 45547 69 45616 2135 Etah (0.77) (0.02) (1.25) (2.92) (0.05) (4.60) (0.83) (0.02) (0.78) (1.33) Farrukhabad 50233 0 855.2 270 0 0 50503 0 50503 855 Gonda 61449 1714 2496 1078 86 19.56 62527 1800 64327 2516 Jhansi 75287 2265 1273 908 9 8.45 76195 2274 78469 1281 Kanpur Dehat 30582 0 1152 1530 0 78.57 32112 0 32112 1231

Maharajganj 99362 0 3362 662 0 5.106 100024 0 100024 3367 Mau 68227 153 2425 810 0 1.79 69037 153 69190 2427 Sant Kabeer Nagar 47252 2049 2278 2438 100 53.15 49690 2149 51839 2331

Shravasti 37425 0 1076 92 0 0 37517 0 37517 1076 Siddharth Nagar 92106 0 4606 1739 0 64.75 93845 0 93845 4671 Sultanpur 143784 653 2806 1727 15 59.65 145511 668 146179 2866 Agra 36055 9558 782.6 845 70 1.48 36900 9628 46528 784 Aligarh 36931 170 1148 780 0 5.61 37711 170 37881 1154 119281 2050 43155 0 90 162436 0 162436 2140 Allahabad (2.23) 0 (0.0) (1.32) (30.30) (0.00) (2.19) (2.95) (0.00) (2.77) (1.34) Aurriya 43908 0 1210 1535 0 189.7 45443 0 45443 1400 Bagpat 15503 0 172.9 345 0 2.954 15848 0 15848 176 Bareilly 97575 0 2624 6567 0 108.8 104142 0 104142 2733 Bijnour 69436 2343 1336 4857 597 96.41 74293 2940 77233 1432 Bulandshah ar 34673 146 589.9 591 0 0.751 35264 146 35410 591 Deoria 107812 3681 1558 3504 0 25.03 111316 3681 114997 1583 Etawah 28347 40 445.6 1287 0 20.81 29634 40 29674 467

Faizabad 84527 218 1242 104 0 0 84631 218 84849 1242 Firozabad 21767 140 645.9 1169 0 0 22936 140 23076 646 Gautam Budh Nagar 6110 0 41.3 46 0 0 6156 0 6156 41 Gazipur 55308 0 1233 0 0 0 55308 0 55308 1233

- 69 - Table-II.6 (a) The NREGA payment processed though banks/post office during 2008-09

No. of Bank Account Amt. of No. of post Office Opened wages Account Opened Amt. of Total Accounts dispurs wages ed dispursed through through Total bank per office Amt. account accounts Disbursed Name of s (Rs. In (Rs. In Individu (Rs. In District Individual Joint Lakhs) Individual Joint Lakhs) al Joint Total Lakhs)

1 2 3 4 5 6 7

Ghaziabad 17306 0 217.8 433 0 4.21 17739 0 17739 222 J.R. Phule Nagar 50691 0 751.2 0 0 0 50691 0 50691 751

Kannauj 45835 275 960.5 0 0 0 45835 275 46110 960 Kanpur Nagar 68705 323 2072 90 0 0 68795 323 69118 2072

Lucknow 64668 1500 1942 0 0 0 64668 1500 66168 1942 Mahamaya Nagar 16785 453 765.9 0 0 0 16785 453 17238 766 Mainpuri 55541 0 1604 2560 0 84.42 58101 0 58101 1688 Mathura 18072 19300 725.4 278 1563 148.7 18350 20863 39213 874 Meerut 15001 0 202 323 0 2.829 15324 0 15324 205 Moradabad 72004 1229 1414 966 0 25.76 72970 1229 74199 1440

Muzaffarnagar 16331 112 676.3 1613 0 40.36 17944 112 18056 716 Pilibhit 76177 781 1464 113 0 0.59 76290 781 77071 1465 Rampur 107339 0 1056 0 0 0 107339 0 107339 1056 48174 3437 785.8 5435 43 59.14 53609 3480 57089 845 Saharanpur (0.90 (0.96) (0.50) (3.82) (0.72) (1.44) (0.97) (0.96) (0.97) (0.53) S.R. Nagar 56906 0 956.3 0 0 0 56906 0 56906 956 Shahjahanpur 114450 938 2887 145 0 1.1 114595 938 115533 2888 Varanasi 60403 0 1145 0 0 0 60403 0 60403 1145 5358447 356746 155874 142430 5972 4118 5500877 362718 5863595 159991 U.P. (100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00)

- 70 - Table-II.6 (b) The NREGA payment processed though banks/post office during 2009-10

Amt. of No. of post Amt. of No. of Bank Account wages Office Account wages Opened dispursed Opened dispursed Total Accounts through through Total bank per office Amt. accounts accounts Disbursed Name of (Rs. In Individu (Rs. In (Rs. In District Individual Joint Lakhs) al Joint Lakhs) Individual Joint Total Lakhs)

1 2 3 4 5 6 7 Azamgarh 169110 0 8556.2 0 0 0 169110 0 169110 8556 Banda 103387 0 6786.69 2922 0 125.32 106309 0 106309 6912 829 189081 7547 7510.6 5907 (12. 58.88 194988 8376 203364 7570 Barabanki (2.60) (2.07) (2.13) (4.02) 19) (0.81) (2.62) (2.26) (2.61) (2.11) Chandauli 85398 0 3400.19 0 0 0 85398 0 85398 3400 Chitrakoot 57035 15804 4101.16 733 342 5.41 57768 16146 73914 4106 Fatehpur 169251 0 6662.273 75 0 2.5 169326 0 169326 6664 Gorakhpur 85366 3930 5790.152 0 0 0 85 366 3930 89296 5790 Hamirpur 83026 21636 6622.2 0 0 0 83026 21636 104662 6622 Hardoi 198589 21271 10984.84 2010 0 25.68 200599 21271 221870 11011 Jalaun 93254 18226 8477.253 1386 0 36.72 94640 18226 112866 8514 Jaunpur 120455 0 7108.02 58 0 0 120513 0 120513 7108 Kaushambi 73258 0 3903 285 0 0 73543 0 73543 3903 Kheri 218457 0 8059.35 2486 0 80.41 220943 0 220943 8139 185010 0 6305.79 2445 0 805.42 187455 187455 7111 Kushi Nagar (2.54) (0.00) (1.79) (1.66) (0.00) (11.06) (2.52) 0 (0.00) (2.40) (1.98) 117 Lalitpur 56702 10071 5245.57 5652 0 331.04 62354 11241 73595 5577 Mahoba 56446 650 3771.78 0 0 0 56446 650 57096 3772 Mirzapur 167745 20388 7807.657 51 0 0.406 167796 20388 188184 7808 Pratapgarh 102460 45 4445.96 19661 0 235.85 122121 45 122166 4682

Rae Bareli 255112 0 8393.8 326 0 0 255438 0 255438 8394 Sitapur 269475 14 10221.78 100 0 0 269575 14 269589 10222 Sonbhadra 156398 7714 14085.6 3537 269 754.2 159935 7983 167918 14840 Unnao 209867 0 9496.387 0 0 0 209867 0 209867 9496 Ambedkar Nagar 146112 0 4879.775 0 0 0 146112 0 146112 4880 Bahraich 248152 0 6656.699 2064 0 10.735 250216 0 250216 6668 Ballia 105667 0 5564.21 0 0 0 105667 0 105667 5564 Balrampur 91804 3593 6290.764 0 0 0 91804 3593 95397 6291 Basti 113610 848 4926.294 9516 0 982.614 123126 848 123974 5909

- 71 - Table-II.6 (b) The NREGA payment processed though banks/post office during 2009-10

Amt. of No. of post Amt. of No. of Bank Account wages Office Account wages Opened dispursed Opened dispursed Total Accounts through through Total bank per office Amt. accounts accounts Disbursed Name of (Rs. In Individu (Rs. In Individu (Rs. In District Individual Joint Lakhs) al Joint Lakhs) al Joint Total Lakhs)

1 2 3 4 5 6 7 Budaun 116274 0 5180.13 0 0 0 116274 0 116274 5180 6 42028 38 3455.62 2300 (0.0 151.38 44328 44 44372 3607 Etah (0.58) (0.01) (0.98) (1.56) 8) (2.08) (0.60) (0.01) (0.57) (1.00) Farrukhabad 54052 0 2428 75 0 0 54127 0 54127 2428 Gonda 103041 2033 10561.95 1078 86 3.42 104119 2119 106238 10565 Jhansi 79865 4680 5401.75 1181 167 87.01 81046 4847 85893 5489 Kanpur Dehat 134364 272 4152.68 235 0 32.73 134599 272 134871 4186 Maharajganj 129783 25726 6046.258 702 96 75.82 130485 25822 156307 6122 Mau 73543 153 5170.35 810 0 0 74353 153 74506 5170 Sant Kabeer Nagar 77195 2986 5382.99 1918 0 217.286 79113 2986 82099 5600

Shravasti 55058 0 2543.02 125 0 0 55183 0 55183 2543 Siddharth Nagar 104968 41796 7858.88 1907 110 163.94 106875 41906 148781 8023

Sultanpur 162822 1832 7768.55 3275 65 57.68 166097 1897 167994 7827 Agra 64578 7577 4874.27 1416 27 23.18 65994 7604 73598 4897 Aligarh 31404 51238 3343.237 780 0 0 32184 51238 83422 3343 33308 0 141114 6155.94 22.65 (0.0 174422 174422 6156 Allahabad (1.94) 0 (0.00) (1.75) ) 0) 0 (0.00) (2.35) 0 (0.00) (2.24) (1.71) Aurriya 54445 2300 4201.77 1606 0 734 56051 2300 58351 4936 Bagpat 16686 1406 379.754 565 10 3.15 17251 1416 18667 383 Bareilly 119162 0 4444.66 5138 0 215.26 124300 0 124300 4660 Bijnour 101321 4020 3465.979 4857 597 305.107 106178 4617 110795 3771 Bulandshahar 48335 322 1877 591 0 0 48926 322 49248 1877 Deoria 102545 23694 4468.55 3985 956 390.45 106530 24650 131180 4859 Etawah 60033 2189 2937.714 887 0 8.95 60920 2189 63109 2947

Faizabad 119425 4238 4081.778 114 0 0 119539 4238 123777 4082 Firozabad 29672 382 1829.35 1211 0 40.85 30883 382 31265 1870 Gautam Budh Nagar 6367 0 75.281 46 0 0 6413 0 6413 75 Gazipur 172571 0 6905.816 0 0 0 172571 0 172571 6906

- 72 - Table-II.6(b) The NREGA payment processed though banks/post office during 2009-10 Amt. of No. of post Amt. of No. of Bank Account wages Office Account wages Opened dispursed Opened dispursed Total Accounts through through Total bank per office Amt. accounts accounts Disbursed Name of (Rs. In Individu (Rs. In Individu (Rs. In District Individual Joint Lakhs) al Joint Lakhs) al Joint Total Lakhs)

1 2 3 4 5 6 7

Ghaziabad 24345 844 265.27 455 0 0.91 24800 844 25644 266 J.R. Phule Nagar 78893 2138 2233.455 0 0 0 78893 2138 81031 2233 Kannauj 58089 0 2370.617 0 0 0 58089 0 58089 2371 Kanpur Nagar 145005 950 4344.1 0 0 0 145005 950 145955 4344 Kashiram Nagar 32501 441 2684.2 8307 341 636.8 40808 782 41590 3321

Lucknow 83871 86 3652.75 134 0 7.99 84005 86 84091 3661 Mahamaya Nagar 26638 1909 1387.81 0 0 0 26638 1909 28547 1388

Mainpuri 72079 0 3672.08 2560 0 350.15 74639 0 74639 4022 156 Mathura 25259 37298 1668.772 278 3 204.21 25537 38861 64398 1873 Meerut 17208 70 287.452 400 0 1.587 17608 70 17678 289

Moradabad 101119 3874 3951.23 366 0 0 101485 3874 105359 3951 Muzaffarnag ar 20402 112 865.98 1469 121 48.26 21871 233 22104 914 Pilibhit 137860 1705 4690.81 180 0 2.5 138040 1705 139745 4693 Rampur 108459 0 2510.482 0 0 0 108459 0 108459 2510 43 71784 3437 2353.866 5410 (0.6 64.134 77194 3480 80674 2418 Saharanpur (0.99) (0.94) (0.67) (3.68) 3) (0.88) (1.03) (0.94) (1.03) (0.67) S.R. Nagar 71645 0 3475 0 0 0 71645 0 71645 3475

Shahjahanpur 126732 938 6078.324 145 0 0 126877 938 127815 6078 Varanasi 73341 1354 4730.8 0 0 0 73341 1354 74695 4731 7286108 352268.3 370573 7803709 359549 363775 147028 6798 7281.94 7433136 U.P. (100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00)

- 73 - Table-II.6 (c) The NREGA payment processed though banks/post office during 2010-11

No. of Bank Account No. of post Office Amt. of Opened Account Opened wages Total Accounts Amt. of dispurse wages d dispursed through Total through per Amt. bank office Disburs accounts accounts ed (Rs. Name of (Rs. In Individu (Rs. In In District Individual Joint Lakhs) al Joint Lakhs) Individual Joint Total Lakhs)

1 2 3 4 5 6 7 Azamgarh 169087 0 9107.35 0 0 0 169087 0 169087 9107 431.81 Banda 122392 0 6235.12 2922 0 7 125314 0 125314 6667 205127 7560 8570.37 6094 0 16.6 211221 7560 218781 8587 Barabanki (2.81) (0.67) (2.63) (5.77) (0.00) (0.34) (2.85) (0.66) (2.56) (2.60)

Chandauli 115195 0 5191.55 0 0 0 115195 0 115195 5192 Chitrakoot 78457 17329 3123 733 342 37.57 79190 17671 96861 3161 Fatehpur 177775 0 6454.706 446 0 9.92 178221 0 178221 6465 Gorakhpur 118847 0 7604.91 0 0 0 118847 0 118847 7605 Hamirpur 103746 21636 5247.427 0 0 0 103746 21636 125382 5247 176.44 Hardoi 45622 186889 8556.303 1343 4018 5 46965 190907 237872 8732 Jalaun 146440 18226 6441.392 1386 0 0.5 147826 18226 166052 6441 Jaunpur 132421 0 6251.99 58 0 0 132479 0 132479 6252 Kaushambi 121573 0 3062.02 285 0 0 121858 0 121858 3062 Kheri 235826 0 11135.08 2745 0 46.26 238571 0 238571 11181 0 185010 7232.35 0 2445 705.45 0 187455 187455 7937 Kushi Nagar (0.00) (16.37) (2.22) (0.00) (16.02) (14.45) (0.00) (16.37) (2.19) (2.40) Lalitpur 88756 11287 5433.52 5662 1170 412.33 94418 12457 106875 5846 Mahoba 64294 650 1988.43 0 0 0 64294 650 64944 1988 Mirzapur 174709 29613 7653.814 51 0 0 174760 29613 204373 7654 Pratapgarh 108546 45 5723.35 19661 0 75.83 128207 45 128252 5799

Rae Bareli 186775 0 5655 326 0 0 187101 0 187101 5655 Sitapur 241860 80176 11291.12 100 0 0 241960 80176 322136 11291 Sonbhadra 176910 8008 9508.52 3627 285 134.31 180537 8293 188830 9643 Unnao 209867 0 8815.113 0 0 0 209867 0 209867 8815 Ambedkar Nagar 148984 0 4382.951 506 0 37.94 149490 0 149490 4421

Bahraich 250986 0 5848.399 2064 0 0 253050 0 253050 5848 Ballia 106480 0 5973.82 0 0 0 106480 0 106480 5974 Balrampur 10255 6351 6351.745 0 0 0 10255 6351 16606 6352

- 74 - Table-II.6 (c) The NREGA payment processed though banks/post office during 2010-11 Amt. of No. of post Amt. of No. of Bank Account wages Office Account wages Opened dispursed Opened dispursed Total Accounts through through Total bank per office Amt. accounts accounts Disbursed Name of (Rs. In Individu (Rs. In (Rs. In District Individual Joint Lakhs) al Joint Lakhs) Individual Joint Total Lakhs)

1 2 3 4 5 6 7 Basti 190461 3378 6013.514 9894 0 994.742 200355 3378 203733 7009 Budaun 150868 0 5696.076 0 0 0 150868 0 150868 5696 6 83285 138 3140.979 2319 (0.0 105.421 85604 144 85748 3246 Etah (1.14) (0.01) (0.96) (2.20) 4) (2.16) (1.15) (0.01) (1.00) (0.98) Farrukhabad 56825 0 2780 75 0 0 56900 0 56900 2780 Gonda 104205 2033 5438.8 0 0 0 104205 2033 106238 5439 Jhansi 0 0 0 0 0 0 0 0 0 0 Kanpur Dehat 137495 0 4280.97 272 0 8.28 137767 0 137767 4289 Maharajganj 150453 47198 7381.239 2018 98 14.85 152471 47296 199767 7396 Mau 0 0 0 0 0 0 0 0 0 0 Sant Kabeer Nagar 97500 3124 5225.58 3214 0 190.5 100714 3124 103838 5416

Shravasti 62657 0 2417.71 125 0 0 62782 0 62782 2418 Siddharth Nagar 105768 41796 8341.66 2026 110 26.42 107794 41906 149700 8368

Sultanpur 98221 1710 4108.23 1350 25 70.7 99571 1735 101306 4179 Agra 99201 7844 2901.66 2374 83 159.4 101575 7927 109502 3061 Aligarh 27877 99817 4030.6 0 0 0 27877 99817 127694 4031 0 174097 6412.21 0 (0.0 174097 0 174097 6412 Allahabad (2.38) 0 (0.00) (1.97) (0.00) 0) 0 (0.00) (2.35) (0.00) (2.03) (1.93) Aurriya 80864 0 3110.67 1635 0 120.25 82499 0 82499 3231 Bagpat 16686 1406 396.161 565 10 0.13 17251 1416 18667 396 Bareilly 194742 0 4745.47 5160 0 96.28 199902 0 199902 4841 Bijnour 129245 6490 3370.787 4857 597 348.56 134102 7087 141189 3720 Bulandshah ar 51017 339 1652.432 591 0 1.172 51608 339 51947 1653 C.P. S. M. Nagar 0 0 0 0 0 0 0 0 0 0 Deoria 110426 31510 0 261 85 0 110687 31595 142282 0

Etawah 59837 5930 2596.48 887 0 0 60724 5930 66654 2596 Faizabad 140881 5573 5645.833 597 0 0 141478 5573 147051 5646

- 75 - Table-II.6 (c) The NREGA payment processed though banks/post office during 2010-11 No. of Bank Account No. of post Office Amt. of Opened Account Opened wages Total Accounts Amt. of dispurse wages d dispursed through through per Total bank office Amt. accounts accounts Disbursed Name of (Rs. In Individu (Rs. In Individ (Rs. In District Individual Joint Lakhs) al Joint Lakhs) ual Joint Total Lakhs)

1 2 3 4 5 6 7

Firozabad 36970 608 1827.01 1802 23 116.67 38772 631 39403 1944 Gautam Budh Nagar 6337 0 55.29 46 0 0 6383 0 6383 55

Gazipur 0 204186 6902.12 0 0 0 0 204186 204186 6902

Ghaziabad 26861 869 342.6 455 0 0 27316 869 28185 343 J.R. Phule Nagar 112080 2138 3612.928 0 0 0 112080 2138 114218 3613

Kannauj 71150 0 2380.47 0 0 0 71150 0 71150 2380 Kanpur Nagar 147934 0 4776.693 0 0 0 147934 0 147934 4777 Kashiram Nagar 38493 10272 2938.77 4749 3899 173.43 43242 14171 57413 3112 Lucknow 107111 86 4226.04 122 0 6.77 107233 86 107319 4233 Mahamaya Nagar 43431 1374 1518.611 0 0 0 43431 1374 44805 1519 Mainpuri 103093 42 3890.87 3204 12 151.28 106297 54 106351 4042 Mathura 21347 34300 1922.713 931 1820 80.112 22278 36120 58398 2003 Meerut 28508 999 440.072 475 46 4.182 28983 1045 30028 444 Moradabad 117407 21616 4051.119 185 25 17.1 117592 21641 139233 4068 Muzaffarnagar 31218 112 989.94 1469 121 52.1 32687 233 32920 1042 Pilibhit 158788 2303 4834.35 205 0 14.22 158993 2303 161296 4848 Rampur 109845 0 2426.001 118 0 6.45 109963 0 109963 2432 71784 3437 2976.25 5410 43 36.85 77194 3480 80674 3013 Saharanpur (0.98) (0.30) (0.91) 0.11) (0.28) (0.75) (1.04) (0.30) (0.94) (0.91)

S.R. Nagar 88660 0 2909 0 0 0 88660 0 88660 2909

Shahjahanpur 126732 938 5690.378 145 0 0 126877 938 127815 5690 Varanasi 0 15625 4706.24 0 0 0 0 15625 15625 4706 741683 7311290 1129971 325943.9 5 1145234 8562069 330820 105545 15263 4880.84 U.P. (100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00)

II.7 (a) Unemployment Allowance Paid in Lieu of Not Providing Employment during 2009-10 The data analysed in Table-II.7 (a) show that the unemployment allowance due in terms of man days was reported in 13 districts only out of the total 72 districts of the state. The

- 76 - highest allowance i.e. for the 11285 man days was due in Sultanpur district against the lowest i.e. for 33 man days in districts were Azamgarh, Allahabad and Kashi Ram Nagar where in the maximum allowances in man days were found to be done during the year 2009-10. Thus, it is safely concluded that unemployment allowances were due only in a few districts of the state. Regarding the payment, no unemployment allowance was reported to be paid in any district of the state. Table-II.7 (A) Unemployment Allowance paid in lieu of not providing Employment (2010-11)

District Unemployment allowance Unemployment allowance Paid due No. Days No. of days Amount AZAMGARH 3182 0 0 BANDA 0 0 0 BARABANKI 0 0 0 CHANDAULI 0 0 0 CHITRAKOOT 0 0 0 FATEHPUR 0 0 0 GORAKHPUR 0 0 0 HAMIRPUR 0 0 0 HARDOI 617 0 0 JALAUN 0 0 0 JAUNPUR 0 0 0 KAUSHAMBI 0 0 0 KHERI 0 0 0 KUSHI NAGAR 0 0 0 LALITPUR 0 0 0 MAHOBA 0 0 0 MIRZAPUR 0 0 0 PRATAPGARH 0 0 0 RAE BARELI 101 0 0 SITAPUR 978 0 0 SONBHADRA 72 0 0 UNNAO 0 0 0 AMBEDKAR NAGAR 0 0 0 BAHRAICH 0 0 0 BALLIA 0 0 0 BALRAMPUR 0 0 0 BASTI 0 0 0 BUDAUN 0 0 0 ETAH 33 0 0 FARRUKHABAD 0 0 0

- 77 - GONDA 0 0 0 JHANSI 0 0 0 KANPUR DEHAT 0 0 0 MAHARAJGANJ 0 0 0 MAU 0 0 0 SANT KABEER NAGAR 0 0 0 SHRAVASTI 0 0 0 SIDDHARTH NAGAR 0 0 0 SULTANPUR 112851 0 0 AGRA 0 0 0 ALIGARH 0 0 0 ALLAHABAD 15239 0 0 AURRIYA 0 0 0 BAGPAT 158 0 0 BAREILLY 0 0 0 BIJNOUR 0 0 0 BULANDSHAHAR 0 0 0 CHATRAPATI SAHU JI 0 0 MAHARAJ NAGAR 0 DEORIA 0 0 0 ETAWAH 0 0 0 FAIZABAD 0 0 0 FIROZABAD 0 0 0 GAUTAM BUDH NAGAR 0 0 0 GAZIPUR 0 0 0 GHAZIABAD 0 0 0 J.R. PHULE NAGAR 0 0 0 KANNAUJ 0 0 0 KANPUR NAGAR 0 0 0 KASHIRAM NAGAR 16520 0 0 LUCKNOW 0 0 0 MAHAMAYA NAGAR 0 0 0 MAINPURI 0 0 0 MATHURA 297 0 0 MEERUT 0 0 0 MORADABAD 261 0 0 MUZAFFARNAGAR 0 0 0 PILIBHIT 0 0 0 RAMPUR 0 0 0 SAHARANPUR 264 0 0 SANT RAVIDAS NAGAR 0 0 0 SHAHJAHANPUR 0 0 0 VARANASI 0 0 0 Total = 72 Districts 1,50,573 0 0

- 78 - II.7. (b) Unemployment Allowances Paid in Lieu of not Providing Employment during 2010-1011 The data analysed in table II.7 (b) indicate that the maximum unemployment allowances due in terms of man days i.e. 355303 were reported in district Sitapur against the minimum i.e. 2210 man days in Gautam Budha Nagar district during the year 2010-11. While the unemployment allowances paid in lieu of not providing employment during the span of year 2010-11 were reported to be the maximum i.e. 254325 man days in the same district Sitapur against the minimum i.e. 2210 man days in the same district Gautam Budha Nagar. The unemployment allowances remained due during 2010-11 were reported to be maximum i.e. 112851 man days in Sultanpur district against the minimum i.e. 33 man days in . Thus, Sitapur district was identified as the district where in maximum unemployment allowances were paid in lieu of not providing employment during 2010-11. This clearly indicates that employment jobs were scanty in Sitapur district. While in Gautam Budha Nagar District the minimum man days of unemployment allowances paid indicates that there was plenty of employment jobs in this district under NREGA. Table-II.7 (b) The NREGA payment processed though banks/post office during 2010-11

Districts Unemployment days 1 AZAMGARH 3182 2 BANDA 0 3 BARABANKI 0 4 CHANDAULI 0 5 CHITRAKOOT 0 6 FATEHPUR 0 7 GORAKHPUR 0 8 HAMIRPUR 0 9 HARDOI 617 10 JALAUN 0 11 JAUNPUR 0 12 KAUSHAMBI 0 13 KHERI 0 14 KUSHI NAGAR 0 15 LALITPUR 0 16 MAHOBA 0

- 79 - 17 MIRZAPUR 0 18 PRATAPGARH 0 19 RAE BARELI 101 20 SITAPUR 978 21 SONBHADRA 72 22 UNNAO 0 23 AMBEDKAR NAGAR 0 24 BAHRAICH 0 25 BALLIA 0 26 BALRAMPUR 0 27 BASTI 0 28 BUDAUN 0 29 ETAH 33 30 FARRUKHABAD 0 31 GONDA 0 32 JHANSI 0 33 KANPUR DEHAT 0 34 MAHARAJGANJ 0 35 MAU 0 36 SANT KABEER NAGAR 0 37 SHRAVASTI 0 38 SIDDHARTH NAGAR 0 39 SULTANPUR 112851 40 AGRA 0 41 ALIGARH 0 42 ALLAHABAD 15239 43 AURRIYA 0 44 BAGPAT 158 45 BAREILLY 0 46 BIJNOUR 0 47 BULANDSHAHAR 0 CHATRAPATI SAHU JI 48 MAHARAJ NAGAR 0 49 DEORIA 0 50 ETAWAH 0 51 FAIZABAD 0 52 FIROZABAD 0 53 GAUTAM BUDH NAGAR 0 54 GAZIPUR 0 55 GHAZIABAD 0 56 J.R. PHULE NAGAR 0 57 KANNAUJ 0 58 KANPUR NAGAR 0

- 80 - 59 KASHIRAM NAGAR 16520 60 LUCKNOW 0 61 MAHAMAYA NAGAR 0 62 MAINPURI 0 63 MATHURA 297 64 MEERUT 0 65 MORADABAD 261 66 MUZAFFARNAGAR 0 67 PILIBHIT 0 68 RAMPUR 0 69 SAHARANPUR 264 70 SANT RAVIDAS NAGAR 0 71 SHAHJAHANPUR 0 72 VARANASI 0

- 81 - CHAPTER-III

Household Characteristics, their Income and Consumption Pattern

This chapter mainly deals with the socio-economic characteristics of the sample households of NREGA in the selected districts. This also includes demographic profile, occupational structure, number of days of employment, per capita income, asset position, land structure and consumption pattern etc.

III.1. Household Profile of the Respondents

Table-III.1 reveals the demographic profiles of the sample households. A total of 200 households were sample beneficiaries of NREGA and 50 were sample non-beneficiaries. The average size of the households was 4.15 in case of beneficiaries and 4.80 in case of non-beneficiaries. As far as the average numbers of earning members are concerned, it was 2.31 per household in case of sample beneficiaries and 2.26 per household in case of non-beneficiaries. Thus, the strength of earning members on both the sides was similar. Around 57.52 per cent of the population was males and 42.48 per cent was females. In case of sample beneficiaries 58.48 per cent were males and 41.52 per cent were females. The proportion of males and females were 54.17 per cent and 45.83 per cent in case of sample non-beneficiaries. This clearly shows that in both cases males were dominating. Age group-wise distribution shows that around one third (35.85 per cent) were in the categories of below 16 years. The samples in age group of 16-60 years were 61.81 per cent and the remaining 2.24 per cent were in third category i.e. above 60 years. Thus, majority of sample beneficiaries were there in the young age-group of 16-60 years.

It is obviously clear from the table-III.1 that majority i.e. about 40.90 per cent were illiterates in the case of beneficiary households. The percentage of households possessing up to primary secondary and graduate level education was higher in non-beneficiary households as compared to that in beneficiary in households. The percentage of above

- 82 - graduate level education was high in beneficiary household. No technical education was reported in both the categories. Table-III.1 Demographic profile of the respondents (% of household) Characteristics Beneficiaries Non -beneficiaries Aggregate No of HH 200 50 250 Total Population 831 240 1071 Household size (numbers) 4.15 4.80 4.28 Average numbers of earners 2.31 2.26 2.18 Gender Male 58.48 54.17 57.52 Female 41.52 45.83 42.48 Age Group < 16 34.05 42.08 35.85 16-60 63.90 54.59 61.81 > 60 2.05 3.33 2.34 Identity of Head 99.50 94.0 98.40 respondent Others 0.50 6.00 1.60 Education Illiterate 42.96 33.75 40.90 status Up to primary 36.70 37.50 36.88 Up to secondary 15.16 18.33 15.87 Up to graduate 3.49 10.00 4.95 Above graduate 1.68 0.42 1.40 Caste SC 49.00 44.00 48.00 ST 1.00 - 0.80 OBC 46.00 46.00 46.00 General 4.00 10.00 5.20 Card holding AAY 18.50 24.00 19.60 BPL 34.00 22.00 31.60 APL 47.00 54.00 48.40 None 8.50 - 0.40 Decision maker Male 90.00 94.00 90.80 Female 10.00 6.00 9.20 Main Farming 38.10 46.02 39.74 Occupation Self business 1.39 5.31 2.20 Salaried/pensioners 1.85 1.77 1.83 Wage earners 58.66 46.90 56.23 Involved in migration during year 2009 0.00 0.00 0.00 Note: Indicates percentage of HH.

- 83 - At the aggregate level among the beneficiaries group (49 per cent) were the dominant group followed by the OBC group (46 per cent) General and ST beneficiaries were 4 per cent and 1 per cent respectively. In case of the non-beneficiaries the percentage of SC, OBC and General category was 44 per cent, 46 per cent and 10 per cent respectively. There was no ST household in non-beneficiary households. Thus, it is clear that majority of beneficiaries in both the categories were S.Cs and OBCs in the area under study.

All 200 beneficiaries had ration card while all the 50 non-beneficiaries had cards. Among the beneficiary households 34 per cent were BPL card holders, 18.50 per cent Antyodaya Anna Yojna card holders and 47 per cent were APL card holders. The beneficiary households had complained that due to corruption they could not get BPL cards. In case of non beneficiary households 54 per cent had APL cards, 24 per cent had AAA cards and the remaining 22 per cent had BPL cards. The number of the households belonging to the below poverty line was more than that of cards. The table reveals that in majority more than 90.80 per cent) of the cases male members were decision makers and more than 98.40 per cent of the respondents were heads of their respective families.

III.2. Main Occupation

The occupation-wise pattern of employment in man days generated in the sample households have been worked-out in table-III.2. The table-III.2 reveals the main occupation of the beneficiaries and non-beneficiaries samples households. In the case of beneficiaries the highest man days percentage was found in non-farm activities (66.83 per cent), as non-agricultural labourer (35.94 per cent of man days), as NREGA work (15.51 per cent of man-days), as self employment in non-farming (6.72 per cent of man days), as migrant worker (4.34 per cent of man days), as regular job (2.00 per cent of man days) and as public work programme worker (2.32 per cent) of man days). Within the non-farm work the share of non-agricultural casual labourer was around 50 per cent. Agricultural and allied sector contributed only 33.17 per cent of man days in which 16.57 were per cent in agricultural casual labourers, 15.25 per cent in self employed in agriculture and 1.35 per cent in self employed in live stock. In the case of non-beneficiary households the table-3.2 reveals that non-farm sector contributed around 60 per cent of man-days

- 84 - employment. Among the non-farm activities the share of non-agricultural labourers was 38.75 per cent. Self employment in non-farming was 8.03 per cent, migrant worker 5.65 per cent, and public works programme 4.56 per cent. Agricultural and allied sector again had less share than that of the non-farm activities i.e. 41.97 per cent of man days. Thus, the non-farm sector had prominent role in generating employment man days. Thus, NREGA had contributed 15.51 per cent of man days and had third place for the beneficiaries. It provided to the beneficiaries about one-sixth and half of the total employment man days. Non-agricultural labourer had highest percentage of man-days employment in both sample households. It is due to villages of the beneficiaries were within the radius of 5 kms and majority of sample households to go the city/town for work short. Thus, non-agriculture sector was dominating in NREGA. Table-III.2 Main Occupation (% of total man days per hh)

Occupation Beneficiaries Non -beneficiaries Aggregate Agricultural casual labour 16.57 26.12 18.48 Non Agricultural casual labour 35.94 38.75 36.50 Work for public work programmes other 2.32 4.56 2.77 than NREGA Self employed in non-farming 6.72 8.03 6.95 Self employed in agriculture 15.25 15.85 15.41 Self employed in livestock 1.35 1.04 1.29 Regular/salary job 2.00 0.00 1.60 Work as a marginal worker 4.34 5.65 4.60 Worked under NREGA 15.51 0.00 12.40 Total 100.0 100.0 100.0 Note: (i) While calculating man days working population excludes dependent, household work, students and others, (ii) For salaried/pensioners the working days are considered as 365 man days per person per annum. (iii)For self employment in agriculture/livestock, man-days are calculated as (days* number of hours/8)

At the aggregate level around 35.18 per cent sample households were dependent on agriculture and allied sector as main occupation for their livelihood 12.40 per cent as NREGA workers, 4.60 percent as migrant worker, 1.60 per cent as regular job, salary and rest 46.22 per cent of other categories. The non- farm sector had contributed in both the

- 85 - cases of beneficiaries and non- beneficiaries around 64.82 per cent of total employment man days generated.

III.3. Household Net Income

Table-III.3 reveals the annual net income of the households. The overall average annual net income of the household was estimated to Rs. 48400 at the aggregate level. While Rs. 46851.70 was estimated in case of beneficiary household. It was found that the overall average annual net income of the non beneficiary households was higher than that of the beneficiary household by 1.17 times. Thus, the non beneficiary households seem to be better of in terms of income. In all the activities it appeared that their income was higher. The coefficient of variation (CV) seems to be higher generally for non- agricultural activities as the labourers pursue different kinds of the activities in non-farm sector too. Thus, non-farm sector was dominating in NREGA.

The table-III.3 reveals that NREGA work was contributing around 13.08 per cent of total income to the beneficiary households. The share of non-agricultural labourers in overall average annual income was 33.49 per cent which was highest income generating activity of the beneficiary households. Self employed in agriculture and live-stock activities had 10.54 per cent of overall average annual income in case of beneficiaries. In case of non beneficiaries however, 1203 per cent of the income was generated from live-stock activities. Thus, livestock activities were main employment generating activities.

The non-beneficiary households were earning higher income from wage in agriculture, wage in migrate workers, self employment in non-farming and non agricultural casual workers etc. The beneficiary households derived income mainly by working as wage in agriculture and allied sector as well as non farm sector. The income from the self employment in agriculture activities was less than non-farm activities as the non-farm activities were dominating in the area under study.

The values of CV shows that variability is comparatively higher for the beneficiaries in income from regular salary/ job/pension activity followed by migrant worker activity and beneficiaries households.

- 86 - Table-III.3 Household Net Income (Annual) (Rs. Per household) Income Category Average CV Average CV Average CV Income (across Income (across Income (across HH) HH) HH) Beneficiaries Non-beneficiaries Aggregate Income from work under NREGA 6127.50 42.90 0.00 0.00 4902.00 69.34 (13.08) (0.00) (10.13) Income from wages in agriculture 3593.40 92.71 7659.00 64.80 4406.52 91.83 (7.67) (14.03) (9.10) Income from wages in non- 15692.63 58.17 17277.00 53.93 16009.50 57.28 agriculture (33.49) (31.65) (33.08) Income from wages in PWP 1003.75 186.38 1650.00 111.06 1133.00 165.71 (2.14) (3.02) (2.34) Income from wages as migrant 12640.00 330.00 18250.00 354.66 13762.00 342.37 workers (26.98) (33.43) (28.43) Income from self employed in non- 1691.00 290.11 3190.00 184.59 1990.80 258.18 farming (3.61) (5.84) (4.11) Income from agriculture/livestock 4938.43 85.21 6569.00 109.38 5264.54 94.48 (10.54) (12.03) (10.88) Income from regular 1165.00 495.66 0.00 0.00 932.00 556.15 job/salary/pension (2.49) (0.00) (1.93) Income from sale of 0.00 0.00 0.00 0.00 0.00 0.00 assets/rent/transfer etc. (0.00) (0.00) (0.00) Total 46851.70 91.63 54595.00 118.55 48400.36 99.24 (100) (100) (100)

III.4 Household Consumption

The consumption pattern of the sample households is worked-out in Table-III.4. Household consumption was the main indicator of the food security for the sample households. The quantity of the various items is estimated in kilograms per capita per month except the spices which is in grams and edible oil and liquid milk in liters. The table-III.4 reveals that on an aggregate level monthly consumption of cereals in each household was about 13.77 kilograms. The data collected from various National Sample Survey Organization (NSSO) records show that the monthly per capita consumption of cereals was 13.40 Kg in 1993 around 12.72 Kg in 1999-2000 and around 12.12 Kgs in 2004-05. Thus, there was not a clear-cut trend in per capita monthly consumption of the cereals. The data collected for pulse consumption from the households show that per capita consumption of pulses was higher than the various round data of per capita consumption of pulses. This was significantly higher than the reported data of various

- 87 - round of NSSO. Highest variation was found in the case of liquid milk and reported data of NSSO was more than two times from the collected data from the households. As far as the other items are concerned, the data collected from households and reported data for various round of NSSO were similar. Table-III.4 Household consumption of food items (Kg. per capita per month)

Food items Benefici- Non- Aggregate NSS NSS NSS aries beneficiaries (1993-94) (1999-00) (2004-05) Rice 5.78 4.98 5.62 6.79 6.59 6.38 Wheat 7.53 6.87 7.39 4.32 4.48 4.19 Other cereals 0.29 0.07 0.25 2.29 1.65 1.55 Total cereals 13.60 11.92 13.27 13.40 12.72 12.12 Total pulses 1.32 1.14 1.29 0.76 0.84 0.71 Sugar etc. 0.64 0.62 0.63 0.871 Edible oils 0.66 0.52 0.63 0.472 Liquid milk 1.56 1.63 1.57 3.94 3.79 3.87 Milk products 0.29 0.04 0.24 NA Spices in gram 64.48 54.71 62.53 45.100 Egg, fish, meat 0.07 0.08 0.07 0.06 0.07 0.05 etc. Fruits 0.35 1.80 0.64 - - - Vegetables 6.82 3.90 6.24 - - - Confectionery NA NA NA NA NA NA

III.5 Consumption Expenditure

The consumption expenditure of the sample households is worked out in table-III.5a and III.5b. Table- III.5a reveals the per capita monthly consumption expenditures of non-food items. It was 79.77 per cent on food items and 20.23 per cent on non-food items. Incase of non beneficiary households it was higher than the consumption expenditure (Rs. 467.19) of non-beneficiary households under both the categories. It obviously reflects the impact of NREGA wage employment. The total monthly per capita expenditure of the beneficiary households was higher by 1.11 times than that of the non beneficiary households.

- 88 - Table-III.5 Monthly consumption expenditure of sample households

Monthly CV Monthly CV Monthly CV NSS per capita per capita per capita 2004-05 (Rs.) (Rs.) (Rs.) Beneficiary Non-beneficiary Aggregate Food Items Rice 69.62 43.45 57.86 41.21 67.27 43.73 54.98 (17.21) (15.53) (16.90) Wheat 62.85 62.88 77.71 39.97 65.82 58.32 28.04 (15.54) (20.85) (16.53) Other cereals 2.46 279.63 0.67 317.97 2.10 297.88 10.59 (0.61) (0.18) (0.53) Total cereals 134.93 42.03 136.24 37.25 135.19 41.04 93.61 (33.36) (36.56) (33.96) Pulses 68.67 62.06 57.34 44.46 66.40 60.24 20.41 (16.98) (15.39) (16.68) Sugar etc. 11.37 46.60 11.94 48.24 11.49 46.91 15.51 (2.81) (3.20) (2.89) Edible oils 41.48 37.36 36.56 37.26 40.50 37.64 24.01 (10.26) (9.81) (10.17) Spices 12.97 38.68 11.16 40.32 12.61 39.36 9.77 (3.21) (2.99) (3.17) Milk & milk 37.50 153.15 39.63 130.49 37.93 148.29 52.64 products (9.27) (10.63) (9.53) Egg, fish, meat 7.42 236.71 3.29 248.32 6.59 245.66 8.61 (1.83) (0.88) (1.65) Fruits 5.90 80.60 25.24 133.76 9.77 178.09 5.69 (1.46) (6.77) (2.45) Vegetables 74.65 43.68 44.68 80.31 68.65 51.44 34.88 (18.46) (11.99) (17.25) Confectionary 9.54 76.62 6.62 50.41 8.96 75.94 20.72 (2.36) (1.78) (2.25) Total food 404.43 34.13 372.69 31.84 398.08 33.85 285.49 (100) (100) (100) Non-food Items (365 day recall period) Education 13.95 127.44 13.16 70.35 13.79 119.04 NA (12.47) (13.93) (12.72) Clothing 18.64 76.46 19.05 68.17 18.73 74.69 NA (16.66) (20.16) (17.28) Footwear 10.26 69.21 11.51 70.20 10.51 69.52 NA (9.17) (12.18) (9.69) Fuels & electricity 16.08 67.44 13.58 72.61 15.58 68.57 NA (14.38) (14.37) (14.38) Other items 52.93 51.96 37.19 48.22 49.78 53.43 NA (47.32) (39.36) (45.93) Total non-food 111.86 39.99 94.50 37.27 108.39 40.12 NA (100) (100) (100)

- 89 - Table-III.5b reveals the item-wise consumption expenditure of the sample households. Household data on item wise share of expenditure reveal differences in the monthly per capita consumption expenditure for the beneficiary and non-beneficiary households. On an aggregate level monthly per capita consumption expenditure was higher than the data gathered from various round NSSO records for food items. Except for the wheat milk and milk product and fruits item of the beneficiary households on food items was higher than the non- beneficiary households. Data on non-food items were also higher for the beneficiary households. This indicates that due to NREGA scheme the earning of the beneficiary have been increased. However, C.V. of consumption expenditure on both categories of food and non-food items in majority of the cases was seen to be higher for the beneficiary households.

III.6. Variability in Income and Consumption

Variability in income and consumption is analysed in Table-III.6. The average households income during the period of 2009-10 was around Rs. 48400.36 per annum at the aggregate level. The average household income of the beneficiaries was around Rs. 46851.70 and non-beneficiaries were Rs. 54595 per annum and average consumption of sample households was around Rs. 24817.10. It was around Rs. 24653.58 for the beneficiary households and around Rs. 25471.20 for the non-beneficiary households. The income as well as consumption expenditure of the non-beneficiaries was found to be higher than that of the beneficiaries by 1.17 and 1.03 times respectively. At the aggregate level in both the cases the average annual income of the respondents was higher than the average annual consumption of the respondents.

The value of C.V. reveals firstly that variability in income was higher than that in the consumption expenditure for the sample households and secondary variability in case of non- beneficiaries was higher than that in case of beneficiary households. At an aggregate level the coefficient of variation in income was 99.24 and it was 91.63 in case of beneficiaries and 118.55 in case of non-beneficiaries households. As far as the Gini Coefficient Ratio (GCR) of income is concerned the GCR for the beneficiaries was 0.34, non-beneficiary was 0.38 and at an aggregate level was 0.85. Similar pattern was found

- 90 - in case of GCR for the consumption expenditure of the sample households was 0.21. It was 0.24 in case of beneficiaries and 0.14 in case of non-beneficiaries. Table III.6 Variability in consumption and Income

Description Beneficiary Non- Total beneficiary Average household income during the reference 46851.70 54595.00 48400.36 year (Rs.) Average household consumption during the 24653.58 25471.20 24817.10 reference year (Rs.) Coefficient of variation in income across 91.63 118.55 99.24 household Coefficient of variation in consumption across 40.02 24.40 38.96 household Gini coefficient of income 0.34 0.38 0.35 Gini coefficient of consumption 0.22 0.14 0.21

III.7. Determinants of Participation in NREGA Functional Analysis

Functional analysis of determination of participation in NREGA activities is contained in Table-III.7a and III.7b. For this purpose probit and logit function were applied at the household as well as at the individual level with various explanatory variables. It was anticipated that the participation of beneficiary households was determined by the faction like household income other that NREGA household size, land ownership, value of household assets, AAY card holding, BPL card holding, SC and ST categories, other category and R2 (pseudo) etc. Tables show the explanatory variables which were significantly attached to the dependent variables. The results were more over similar of probit model and logit model for the individual level.

- 91 - Table III.7 Determinants of Participation in NREGA at the household level (Logit/Probit function) (Dependent variable: participation in NREGA)

Variable Name Probit function Logit function Coefficient ‘z’ value Coefficient ‘z’ value Constant 2.088704 3.462446 3.540134 3.409032 Household income other than -1.94E-06 -1.015289 -3.63E-06 -1.095153 NREGA Household size -0.156969 -2.153312 -0.265831 -2.069428 Land ownership 0.540927 2.019578 1.055602 2.0902134 Value of household assets -6.12E-06 -5.668377 -1.09E-05 -5.306173 AAY card holding -0.353005 -1.210717 -0.750078 -1.397826 BPL card holding 0.124553 0.432089 0.115183 0.211892 SC category 0.203319 0.401263 0.455667 0.530351 ST category 6.863282 1.04E-06 30.69527 3.01E-06 OBC category 0.577717 1.120799 1.136876 1.288075 R2 (Pseudo) 0.385042 0.382670

However, the value of R2 was also found to be low in both the cases. The household income other than NREGA for the beneficiaries at the household level was negatively related to the participation in NREGA while household size and SC and ST households were positively related with NREGA participant.

- 92 - CHAPTER-IV

Work Profile under NREGA Wage Structure and Migration Issue

The present chapter describes the issue of wage structure and migration aspects of activities being undertaken by beneficiaries under NREGA programme during the reference period.

IV.1 Work Profile under NREGA

The district-wise group wise work profile of sample households/ beneficiaries under NREGA activities had been presented in Table-IV.1. This table reveals that on an average in the state about 1.42 persons per household were employed under different activities of NREGA. Within different social categories the SC and ST beneficiaries were highest and had 1.49 and 1.50 persons per household employed by NREGA respectively. The general categories with 1.14 persons per household employed in NREGA was on lowest place The ST categories beneficiaries were found in only Kushinagar district whereas the total number of beneficiaries was two. The general categories beneficiaries were found in only Saharanpur and Barabanki districts and stand 1.00 and 1.25 persons per household respectively. In all the five districts in persons per household employed by NREGA the SC beneficiaries were highest followed by OBC beneficiaries.

At an aggregate level the participation of women beneficiaries was 0.45 women per household as against the participation of men beneficiaries was 0.97 person per household during the year. This was highest in Kushinagar district 0.50 women per household followed by Barabanki district (0.48 women per household and lowest in with 0.35 women per household participating in NREGA activities. The analysis of per household person days has been also presented in Table 4.1. This table again reveals that at an aggregate level per household person days employed under NREGA were 61.63. The ST category had highest number of person days (67.50) per household followed by SC category 63.37 person days per household. The women

- 93 - participation was limited to only 16.14 person days per household highest being in Etah district (19.35) followed by Kushinagar district (18.20). It was lowest in Barabanki district (12.25). In case of men Allahabad district had highest person days (64.90) and Kushinagar district had lowest person days. Table-IV.1 The work profile under NREGA (Reference period-Jan-Dec 2009) Characteristics Saharanpur Etah Barabanki Allahabad Kushinagar U.P No. of members Aggregate 1.30 1.10 1.45 1.80 1.45 1.42 per hh General 1.00 - 1.12 - - 1.14 employed SC 1.34 1.48 1.45 1.74 1.52 1.49 during the year ST - - - - 1.50 1.50 OBC 1.00 1.03 1.48 1.86 1.35 1.38 Women 0.35 0.45 0.48 0.45 0.50 0.45 Men 0.95 0.65 0.97 1.35 0.95 0.97 No. of days per Aggregate 50.00 68.10 62.48 77.30 48.75 61.33 hh employed General 39 - 61.25 - - 57.71 during the year SC 49.94 84.89 63.80 85.37 53.33 63.37 ST - - - - 67.50 67.50 OBC 67.50 63.23 61.76 70.00 40.88 60.40 Women 13.37 19.35 12.35 12.40 18.20 15.14 Men 36.63 48.75 50.13 64.90 30.55 46.19 Wage rate Aggregate 100 100 100 100 100 100 obtained (Rs.) General 100 100 100 100 100 100 SC 100 100 100 100 100 100 ST - - - - 100 100 OBC 100 100 100 100 100 100 Women 100 100 100 100 100 100 Men 100 100 100 100 100 100 Average distance from 1.71 2.09 1.95 2.19 2.90 2.18 residence where employed (Kms)

The NREGA provides that there should be equal wage rate for men and women participant as well as in case of social group also. For NREGA activities Government of India, Ministry of Rural Development had announced Rs. 100 per day. In the state as a whole there was no variation in the wage rate under NREGA activities. At an aggregate

- 94 - level as well as individual level. The wage rate was found Rs. 100 per day under NREGA activities. Although few beneficiaries had reported that there was some unfair means practice had been adopted by Gram Panchayat in payment of wages.

The average distance of worksite from the residence was 2.18 Km. Analysis shows that it was higher in Kushinagar district (2.90 Kms) and lowest in Saharanpur district (1.17 Km.) from state average.

IV.2 Activities under which Employed

Table IV.2 reveals about the details of activities under which the employment was provided and responses of the beneficiaries about the assets created under NREGA programme. There were different activities like road connectivity, water conservation and harvesting. Micro-irrigation works provision of irrigation facility to land owned by (panchayat) renovation of traditional water bodies. Land development work and any other work approved by ministry of rural development. Table IV.2 No. of households completed 100 days of work under NREGA District No. of District wise % of Household Household distribution of completed 100 days out completed 100 Households completing of all beneficiary days 100 days (%) households Saharanpur 02 (04.00) 9.52 1.00 Etah 02 (04.00) 9.52 1.00 Barabanki 05 (10.00) 23.81 2.50 Allahabad 12 (24.00) 57.14 6.00 Kushinagar 00 (00.00) 0.00 0.00 State 21 (10.50) 100.00 10.50 Note: Figures in bracket indicate share of sample households in the district sample

IV.3 Nature of Assets Created and their Durability:

Provision of work under NREGA to creation of assets such as farm ponds tanks, Check dams, roads etc. A substantial amount of money is spent on labour and other components while the assets are being created. It is therefore important that the assets that are created are good quality and serve the purpose for a longer period. Table-IV-3 presents about the different activities provided for employment generated under NREGA in U.P. Activity wise engagement of the sample households and their response relating to quality of assets

- 95 - generated by them. It is seen that majority of the households are engaged under road connectivity, flood control, minor irrigation, water conservation and harvesting works etc. This pattern is similar to that observed at district level. Table-IV.3 The Activity in which employed under NREGA and the quality of assets created (Reference period-Jan-Dec 2009) (% of hh) Characteris Saharanpur Etah Barabanki Allahabad Kushinagar U.P -tics Name of Rural connectivity 6 11.54 5 11.36 26 44.83 20 27.78 20 34.48 77 27.11 the activity Flood control & 0 0 0 0 0 0 0 0 0 under protection which Water conservation and 24 46.15 10 22.73 6 10.34 24 33.33 5 8.62 69 24.30 employed water harvesting members of Drought proofing 0 0 0 0 0 0 0 0 0 0 0 0 household) Micro irrigation works 10 19.23 5 11.36 20 3.45 2 2.78 4 6.90 23 8.10 Provision of irrigation 0 0 0 0 0 0 0 15 25.86 15 5.28 facility to land owned by (Panchayat) Renovation of 0 0 0 0 15 25.86 18 25.00 12 20.69 45 15.85 traditional water bodies Land development 7 13.46 20 45.46 5 8.62 6 8.33 2 3.45 40 14.08 Any other activity 5 9.62 4 9.09 4 6.90 2 2.78 0 0 15 5.28 approved by the Min of rural Development Not Responding 0 0 0 0 0 0 0 0 0 0 0 0 Quality of Very Good 16 40.00 18 45.00 20 50.00 17 42.50 15 37.50 86 43.00 the assets Good 24 60.00 22 55.00 20 50.00 23 57.50 25 62.50 114 57.00 created through Bad 0 0 0 0 0 0 0 0 0 0 0 0 NREGA activities Worst 0 0 0 0 0 0 0 0 0 0 0 0 (responses Not Response 0 0 0 0 0 0 0 0 0 0 0 0 of the Total 40 100 40 100 40 100 40 100 40 100 200 100 respondent) Average unemployed allowance 0 0 0 0 0 0 0 0 0 0 0 0 received by the household for not getting work under NREGA after registration (Rs. Per hh)

At the state level, majority of the households i.e. 57 per cent reported that quality of assets generated was good. District wise composition of responses reveals diversity. Specifically, response of the households from Kushinagar and Saharanpur were same i.e. 62.50 and 60 per cent household of the both districts reported that quality of assets generated by them was good and 43 per cent households reported that quality of assets was very good. All the households reported about the quality of assets. Unemployment allowance was not received by any sample household.

- 96 - IV.4 Wage Differentials under NREGA and its Comparison with Minimum Wage Act

Table IV.4 depicts the wage differentials for different activities of sample households. The table reveals that average wage rate received by the casual agricultural labourer in case of males was Rs. 89.74 at aggregate level which was Rs 86.90 for beneficiaries and Rs, 98.50 for non-beneficiaries. In case of female the average wage rate for casual agricultural labourers Rs. 63.40 in which was Rs. 65.28 for beneficiaries and Rs. 60.00 for non beneficiaries. The wages received by the non agricultural labour was higher than that of agricultural labour. At an aggregate level the average wage rate received by men was Rs. 105.89 for the non-agriculture casual labour, Rs. 107.14 for the public work programme and Rs. 116.29 for the migrant worker. In case of female it was Rs. 76.65 and Rs. 106.33 for the non-casual agriculture labourer and public work programme respectively. There was no variation in wages received by NREGA workers and it was Rs. 100 per day for both groups. Table IV.4 Wage Differentials among Different Activities Occupation Beneficiaries Non- Aggregate beneficiaries Average CV Average CV Average CV Wage rate in agricultural Male 86.90 20.88 98.05 25.30 89.74 22.94 casual labour (Rs.) Female 65.28 21.98 60.00 23.20 63.40 22.59 Wage rate in non- Male 104.34 12.07 112.11 17.32 105.89 13.71 agricultural casual labour Female 77.00 8.16 75.30 9.67 76.65 8.51 (Rs.) Wage rate in public works Male 106.62 10.50 108.33 11.26 107.14 10.65 programmes (Rs.) Female 108.33 11.26 108.33 11.54 108.33 11.11 Wage rate earned by Male 118.72 18.96 111.42 5.31 116.29 18.73 migrant workers (Rs.) Female ------Wage rate under NREGA Male 100.00 0.00 0.00 0.00 81.60 47.58 (Rs.) Female 100.00 0.00 0.00 0.00 95.29 22.35

IV.5. Impact of NREGA on Labour Migration:

Table IV.5 shows that migration of the sample farmers of five selected districts was very nominal after the implementation of NREGA. The number was comparatively higher in Saharanpur followed by Barabanki district. It is also evident from table IV-5 that the number of out migrated a cross the selected districts did not return back in a bulk

- 97 - numbers in their respective villages due to implementation of NREGA. Who returned back to village to get the job under NREGA was also low. The numbers returned back to villages had engaged in other activities than the NREGA activities. The impact of NREGA was quite positive to check the migration from villages to cities. The impact of NREGA has been playing very active role in checking the migration among the target group of the Society. Table IV.5 The migration incidents recorded during the Reference period-Jan-Dec-2009

Characteristics Saharanpur Etah Barabanki Kushinagar Allahabad All No % No % No % No % No % No % No. of members migrated from the village 0.10 0.075 0.125 0.05 0.05 0.08 because of not getting work under NREGA even after registration (per household) No of out-migrated members returned back 0.025 0.025 0.05 0.025 0.025 0.03 to village because of getting work in NREGA (per household) In the case some Nearby village 0 0 0 0 100 0 0 0 0 1 16.67 members returned back to the village Nearby town 1 100 1 100 1 100 1 100 1 100 5 83.33 to work under NREGA where Same district 0 0 0 0 0 0 0 0 0 0 0 0 were they earlier working (% of Same state 0 0 0 0 0 0 0 0 0 0 0 0 returned members) Other state 0 0 0 0 0 0 0 0 0 0 0 0 In the case some Const/ 1 25 0 0 1 20 0 0 0 0 2 12.50 members returned manufacturing/ back to the village to work under mining NREGA which Trading/ services 0 0 0 0 0 0 0 0 0 0 0 0 activity earlier & transport working in (% of Private work/self 0 0 0 0 3 600 0 0 0 6 3 18.75 returned members) business Other government 0 0 0 0 0 0 1 50 2 100 3 18.75 work Agriculture labour 0 0 0 0 0 0 0 0 0 0 0 0 Any other 1 25 1 33.33 1 20 1 50 0 0 4 25.00 Not respondent 2 50 2 66.67 0 0 0 0 0 0 4 25.00 Year in which Shifted in 2008 0 0 0 0 1 20 0 0 0 0 1 6.25 shifted (% of sifted hh) Shifted in 2009 2 50 3 100 2 40 1 50 2 100 10 62.50 Shifted in 2010 2 50 0 0 2 40 1 50 0 0 5 31.25 Is your family better off Yes 4 100 3 100 4 80 2 100 2 100 15 93.75 now compared to previous No 0 0 0 0 1 20 0 0 0 0 1 6.25 occupation (% of sifted hh)

- 98 - CHAPTER-V

Qualitative Aspects of NREGA Functioning

The present chapter mainly deals with the assets holdings of sample households, households status on borrowings and their financial vulnerability, households strength on borrowing and other households assets, some qualitative questions related to functioning of NREGA and qualitative questions related to NREGA functioning in terms of percentages of beneficiary households, which are discussed in the following paragraphs.

V.1. Assets Holdings of Sample Households

The analysis work in tableV-1 indicates that on an overall aggregate level the value of total assets per household was estimated at Rs. 2,88,219. While in case of beneficiaries, it was estimated at Rs. 2,51,702 per household and in case of non-beneficiaries, it was Rs. 4,34,285 per household. Thus, in case of non-beneficiaries, it was comparatively much higher which clearly reflects that assets position of non-beneficiaries was sound and better. It was interesting to note that the value of the assets of a beneficiary’s household was considerably lower than the assets of an average household of the state as a whole. The asset-wise analysis shows that the value of land was estimated to be the highest i.e. Rs. 175046 per household on an aggregate level against the lowest value i.e. Rs. 284 per household in case of business assets. The second valuable asset was house property where in the value per household was estimated at Rs. 79,600 on an aggregate level. Livestock were also found to be valuable assets among the households of beneficiaries as well as non-beneficiaries. The other assets such as agricultural implementation, consumer assets, ornaments, utensils and other assets were not significant in the state as a whole. Thus, it is safely concluded that land, houses and live stock were the main assets in the households of the beneficiaries as well as non-beneficiaries of NREGA in this state. The data are contained in Table-V-1

- 99 - Table -V.1 Assets Holdings of Sample Households (Rs. Per household) Assets Beneficiaries Non-beneficiaries Aggregate Land 153807 260000 175046 House Property 71890 110440 79600 Live Stock 9755 42100 16224 Agricultural 2112 3902 2470 Implements Consumer Assets 1198 1403 1239 Business Assets 35 - 284 Ornaments 8943 10740 9262 Utensils 635 828 674 Others 3008 5072 3420 Total 251702 434285 288219

V.2 Household status and Borrowings and their Financial Vulnerability

The analysis on borrowings by sample households done in Table V-1 indicates that the main and only sources of borrowings were banks as reported by the beneficiaries and non-beneficiaries in the area under study. Such loaning through banks was estimated at Rs. 3,478 per household on an aggregate level in this state. While in case of beneficiaries it was estimated at Rs.3,585 per household and in case of non-beneficiaries it was estimated at Rs.3,050 per household. Thus, the loan taken per household was slightly higher in case of beneficiaries which reflects that borrowings were more common among beneficiaries as compared to the same among non-beneficiaries in this state. As regards the purposes of loaning the analysis done in Table V-2 indicates that maximum loan to Rs. 929 per household was taken for other purposes in this state. The next purpose of loaning wherein considerable amount of loan i.e. Rs. 789 per household was taken, was purchase of land, livestock or other assets. Construction of house was also an important purpose for which a considerable amount i.e. Rs. 554 per household was borrowed on an aggregate level in this state. Daily consumption was also a purpose for which a good amount i.e. Rs. 610 per household was taken on an aggregate level. Therefore, the main

- 100 - purposes of loans were purchase of land, livestock and other assets in this state. The related data are given in Table V-2. Table -V.2 Borrowings by Sample Households (Rs. Per household) Sources and Purposes of Loan Beneficiaries Non- Aggregate beneficiaries Source of Institutional loan (banks) 3585 3050 3478 loan Traders-cum-Money lenders 0 0 0 Commission Agent 0 0 0 Landlord/Employer 0 0 0 Friends/ Relatives 0 0 0 Others 0 0 0 Purpose of Daily Consumption 625 550 610 loan Social Ceremony 560 520 552 Purchase of land, livestock or 835 605 789 other assets Consumer durables 0 0 0 Construction of house 575 470 554 Health Treatment 45 38 44 Others 945 867 929 Rate of interest (per cent per annum) 950 10.00 9.59

V.3 Household Strength on Borrowing and other Household Assets

The household strength on borrowing and other household assets in terms of percentage of households worked out in Table-V-3 indicates that on an overall aggregate level the highest i.e. 94 per cent of borrowers having account in either a bank or post office or other institution had borrowed loans in this state. In this category of borrowers 100 per cent of the beneficiary households had taken loans. It is interesting to note that 72 per cent of the non beneficiary households had also taken loans in this category. The strength of borrowers was better in the category of availability of informal. Credit security or Self- Help Groups (SHGs) in the villages where in 75 per cent of borrowers had taken loans on an aggregate level. In this category 78.50 per cent of beneficiary households and 62 per

- 101 - cent of non-beneficiaries had taken loans in this state. In the category of available cooperative credit societies in villages also 58.8 per cent of household had taken loans on an aggregate level. But in this category 67.50 per cent of beneficiary households had taken loans in the state. Also 22 per cent of borrowing households having life insurance policy had borrowed on an aggregate level. In this category the beneficiary households who had taken loan were 22.50 per cent of the sample households. Thus, the strength of borrowing households was higher in the categories of account holders in banks, post offices and other institutions and among the SHGs in the villages in this state. The related data are given in table V-3. Table-V.3 Household Strength on Borrowing and other Household Assets (% of. households) Categories of Borrowers Beneficiaries Non- Aggregate beneficiaries Doing wage work to those whom they are 0.00 8.00 1.60 indebted Availability of Co-operative credit 67.50 24.00 58.8 society in village Family member being member of such 64.50 30.00 57.6 society Availability of informal credit 78.50 62.00 75.20 society/SHG in village Family member being member of such 54.00 52.00 53.60 society Having account in a bank/post 100.00 72.00 94.40 office/other institution Having any stocks/bond/shares/other 0.00 0.00 0.00 similar assets Having life insurance policy 22.50 20.00 22.00

V.4 Qualitative Questions related to functioning of NREGA:

The qualitative questions related to functioning of NREGA in terms of percentages of beneficiary households worked-out in Table-V-4 indicates that in case of job card issuance 100 per cent of the sample households had replied that they did not pay any fee / charges or bribe to get job cards while in case of irregularity in job cards, 100 per cent of the households had replied negatively for all the four questions related with the bribe taking but regarding the main questions i.e. Where was the card generally kept? wherein

- 102 - 95 per cent of the card holders had replied ‘Yes’ with the card holders and only 5 per cent of the households replied that job cards are with Surpanch or Sachiv. For work application four quarries were put. For quarry one, i.e., Are you employed in response to an application? 72 per cent had replied ‘Yes’ and also replied to get receipt for it and 83 per cent replied to get jobs within 15 days.

Also 67 per cent of the card holders replied that neither they got jobs within 15 days of application nor they were paid any unemployment allowance. As regards the payment of wages 100 per cent of card holders replied ‘Yes’ for same rate for men and women and only 2 per cent of card holders replied ‘Yes’ for wage paid on piece rate/task wage basis. In case of management of work 98 per cent of card holders replied ‘Yes’ for work to be measured by individual’s work and by team measurement. In case of period of wage payment 62 per cent of households replied ‘Yes’ for wage were paid with in a fortnight, 27 per cent told that wages were paid within a month. Regarding the question i.e., Who made the wage payment about 88 per cent of cardholders replied ‘Yes’ by bank.

In case of wage payment made in the bank 100 of cardholders replied ‘Yes’ for bank account to be on self name. Also 83 per cent of cardholders replied to have their individual account, 17 per cent told to have joint account. Also 86 per cent of card holders told that bank followed the usual procedure of banking. In case of complaints 100 per cent of the card holders replied ‘Yes’ for all the six quarries related to this question. Regarding details of worksite facilities 98 per cent said ‘Yes’ for drinking water facility, 88 per cent told ‘Yes’ for first aid kits, 83 per cent told ‘Yes’ for G.P. members gave the details of sanctioned amount and 68 percent said ‘Yes’ for child care facility.

As regards the monitoring 100 per cent replied yes for authority to monitor the functioning of the NREGA administration. Also 100 per cent of card holders replied no for any complaint lodged related to worksite etc. to the Gram Panchayat, Programme Officer or other officials. In case of economic usefulness of the work 86 per cent of card holders said yes for the work too benefited to the villagers. In case of assets and their durability in which the interview involved, 100 per cent of card holders said yes for it to

- 103 - be worth creating the structure. 71 per cent of card holders told for structure created may last up to 10 years, 70 per cent told yes for structure created to be adequate.

Regarding the question i.e. has the NREGA affected labour migration 90 per cent of sample households told yes for wage to be higher in city or other states than NREGA. Also 94 per cent of card holders told no for any family members migrated back to villagers to work under NREGA. 100 per cent of card holders told no for any family members migrated as wage labourer with dissatisfaction from NREGA. As regards the respondents awareness about NREGA implementation 97 per cent of card holders told yes for respondents to be aware about NREGA implementation, 97 per cent said yes for right to apply for work and get employment within 15 days, 95 per cent said yes for the work application procedure, 97 per cent said “yes”. About the question for right to minimum wages, 96 per cent said yes for level of minimum wages, 94 per cent said yes for right to unemployment allowance, 90 per cent said “yes” for minimum worksite facilities, 92 per cent told yes for mandatory availability of muster rolls at the worksite and 76 per cent told yes for the list of permissible works under the NREGA.

In case of potential benefits of NREGA 100 per cent of card holders told yes for all the six queries raised under the main question. As regards the questions related to food security 96 per cent of the card holders replied “yes” for getting full two meals throughout the year 2009.

- 104 - Table -V.4 Qualitative Questions related to functioning of NREGA (% of beneficiary H.H.) Description Yes No Not sure Job card Paid any fees/charges or bribe to get a job card 0.00 100.00 0.00 issuance The amount paid for job card (exorbitant 0.00 0.00 0.00 The amount paid as bribe (exorbitant) 0.00 0.00 0.00 Irregularity in No entries were made, even though the job card 0.00 100.00 0.00 the job card holders (s) had worked on NREGA Some entries were in completed or missing or fake 0.00 100.00 0.00 information was entered Some entries had been over-written 0.00 100.00 0.00 The signature column was blank or partly blank 1.50 98.50 0.00 Where was the With the card holders 95.00 card generally With Sarpanch or Sachiv 5.00 kept With contractor - With the Gram Rojgar Sevak - Elsewhere - Work Are you employed in response to an application 72.0 28.00 0.00 application for work If applied, did you get a dated receipt for the 72.00 24.17 3.61 application If applied, did you get a work with in 15 days of 83.33 16.67 0.00 application In case of failure to provide work within 15 days, 32.14 67.86 0.00 is unemployment allowance paid Payment of Are the wage rates same for men and women 100.00 0.00 0.00 wages Wage rates higher for men 0.00 0.00 0.00 Wage rates higher for women 0.00 0.00 0.00 Wage paid on “daily-wage” basis 0.00 0.00 0.00 Wage paid on piece-rate/task-wage” basis 2.00 0.00 0.00 Measurement of Work was measured by individual’s work 98.00 0.00 0.00 work Work was measured by team measurement 98.00 0.00 0.00 Work was measured by collection measurement 0.00 0.00 0.00 Period of wage Wages were paid within a fortnight 52.50 0.00 0.00 payment Wages were paid within a month 27.50 0.00 0.00 Wages were paid than a month 20.00 0.00 0.00 Wages were paid after one year 0.00 0.00 0.00 Who made the Pradhan 0.00 0.00 0.00 wage payment Post Office 12.50 0.00 0.00 Bank 87.50 0.00 0.00 Representative of line department 0.00 0.00 0.00 Other government official or any other 0.00 0.00 0.00

- 105 - Table-V.4 contd… Description Yes No Not sure In case wage Bank account was on self’s name 100.00 0.00 0.00 payment made Spouse’s name 0.00 in the bank Parent’s name 0.00 Children’s name 0.00 Others 0.00 Individuals account 83.00 Joint account 17.00 Did bank follow usual procedure of banking 86.50 13.50 0.00 In case wage Wage paid in front of all labourers 0 were not paid Wage paid on the worksite 0 through bank Wage paid in Panchayat Bhawan 0 Wage paid on other public/private place 0 Wages paid on some one’s private residence 0 Complaints There were delays in wage payments 100.00 regarding wage Wage paid less than the minimum wage 100.00 payment Wage paid less than asked for sign/thumb 100.00 impression Task was too much compared to the wages paid 100.00 Faced problems in accessing post office/bank 100.00 accounts On what basis wages were calculated not clear 100.00 others Details of A Board/GP member gave details of the 83.00 17.00 0.00 worksite sanctioned amount, work dimensions and other facilities requisite details The worksite had drinking water facility 98.00 2.00 0.00 Worksite had shade for periods of rest 82.00 18.00 0.00 Worksite had child care facility 68.00 32.00 0.00 Worksite had first aid Kit/medicines 88.00 12.00 0.00 Monitoring Was there any authority to monitor the functioning 100.00 0.00 0.00 of the NREGA administration Any complaint lodged relating to worksite etc. to 0 100.00 0.00 the Gram Panchayat, Programme Officer other Officials If yes, was any action taken on your complaint NA NA Economic Work is very useful to the villages 86.00 Usefulness of Work is quite useful to the villages 14.00 the work Work is not particularly useful to the villages 0.00 Work is useless for the villages 0.00 Nature of assets The structure created may last up to one year 4.00 and their The structure created may last up to five year 18.50 durability in The structure created may last up to ten year 71.50 which the The structure created may last more than ten year 6.00 interviewee Is it worth creating the structure 100.00 involved Was the structure created adequate 70.00 NA 0.00 No, structure needed more attention to be able to 30.00 NA 0.00 last long

- 106 - Table-V.4 contd… Description Yes No Not sure How has Did any one of your family migrated out for job after 15.0 85.00 0.00 NREGA implementation of NREGA (year 2005 onwards) affected If yes, only one member of the family migrated 0.00 0.00 labour More than one member of the family migrated 0.00 0.00 migration Are wages higher in city or other states than NREGA 90.00 10.00 Any family members migrated back to village to work 6.00 94.00 under NREGA If yes, only one member of the family migrated back 0.00 0.00 More than one member of the family migrated back 0.00 0.00 Any family member migrated as wage labourer with 0.00 100.00 dissatisfaction from NREGA If yes, only one member of the family migrated NA NA More than one member of the family migrated NA NA Respondents Are respondent aware about NREGA implementation 97.00 3.00 awareness Right to apply for work and get employed within 15 97.00 3.00 about days NREGA The work application procedure 95.00 4.50 0.50 implementat Right to minimum wages 97.00 3.00 0.00 ion The level of minimum wages 96.00 4.00 0.00 The wage calculated method 78.00 22.00 0.00 Right to the unemployment allowance 94.00 6.00 0.00 Minimum worksite facilities (drinking water, first 90.00 10.00 0.00 aid.) Mandatory availability of muster rolls at the worksite 92.00 8.00 0.00 The list of permissible works under the NREGA 76.00 22.00 2.00 Potential NREGA enhanced food security 100.00 0.00 0.00 benefits of NREGA provided protection against extreme poverty 100.00 0.00 0.00 NREGA NREGA helped to reduce distress migration 100.00 0.00 0.00 NREGA helped to reduce indebtedness 100.00 0.00 0.00 NREGA gave greater economic independence to 100.00 0.00 0.00 women NREGA generated purchasing power at local 100.00 0.00 0.00 economy Questions Did your family get full two meals throughout year 96.00 4.00 0.00 related to 2009 food Family did not get sufficient food for one month 0.00 security Family did not get sufficient food for above two 0.00 month How did you cope with the situation-take loan Catch 0.00 fish/rat/crab etc. Near/sometime starvation/take meal only once 0.00 Begging 0.00 Any other (Friends relatives) 3.00

- 107 - V.5 NREGA and Food Security

Majority of the sample households were giving opinion that NREGA programme had enhanced food security. Table V.5 presents about the detailed of responses for the food security by the sample households. It was observed that 100 per cent sample household reported that they get their job cards at free of cost. There was no case of bribe in getting the job card. Around 27 per cent sample household responded that our job card is not with us. It means that there are chances for malpractice as far as implementation of the scheme is concerned. Majority of the sample household responded that Panchayat security, G.P. APO monitor, the NREGA Activity. This shows that majority of the work is carried out by the Gram Panchayat and rest by the other department.

Around 52 per cent sample households have lodged complaint regarding low wage rate, the complaint about low bill paid out irregularity in payment of wages, 36 per cent sample household reported that appropriate action has been taken for the complaints. The road connectivity, water conservation and householding minor irrigation etc type works were provided to sample households for the employment. According to classification of work starting date, around 80 per cent work has started before the onset of summer and Rabi harvest is over. It shows that the generally work is provided in the period of agriculturally off season.

As far as migration is concerned, some of the sample households (24 per cent) responced about it majority of the sample households have migrated due to non-availability of sufficient work in the village 30 per cent of sample households reported that they came back to village for work under NREGA. Around 61 per cent of them reported that they want to go back to cities due to shortage of work, no work in village available including NREGA and no work under NREGA.

- 108 - Table-V.5 Quantitative related to NREGA Functioning (Percentage of hh)

Sl.No. Particular Details Percent Q.1 If you paid some amount to get job card: how much for job As fee 100.00 card and how much bribe (Out of those who paid) AS Bribe 0.00 Q.2 If the job card is not kept with you, what is the reason for Cards not issued 27.50 that? No response 72.50 Q.3 If there is any authority who monitors the functioning of Gramsevek 20.00 NREGA then describe the details? Swayamsevek 0.00 Forest Officer 0.00 Govt. Officer 13.00 Mukadam 6.00 Gram Panchayat 50.00 Employment Officer 0.00 No response 00 If you lodged any complaints give details Less wage rate 22.00 Less wage bill paid 26.00 out Irregularity in paying 14.00 wages Q.4 No response 38.00 Provide details of what action was taken Increase in wages 21.00 amount Increase in wages 22.00 No response 57.00 Provide description of the work and its starting date? Rural Connectivity 40.00 Water Conservation 40.00 Drought Proofing 0.00 Micro Irrigation 14.00 Others 6.00 Q.5 Starting Date Ist Jan to 31st March 48.00 2009 1st April to 30th June 30.00 2009 1st July to 30th Sept 8.00 2009 1st Oct. to 31st Dec 8.00 2009 Others 6.00 Q.6 Provide details of family member migrated to city after the Enough work not 6.00 implementation of NREGA and Why available in the village No work in summer 3.00 in the village

- 109 - Betterment of 8.00 economic condition

To get work in city 12.00 Other 71.00 Not responded Q.7 Provide detail of family member migrated back to village to Expected to get work 30.00 work in NREGA and Why? in NREGA Other 30.00 Not responded 40.00 Q.8 Provide details of family member migrated to city with No more NREGA 23.50 dissatisfaction of NREGA and Why? work Shortage of work 24.50 No work available in 13.00 village including NREGA Not responded 39.00

Table V.6 shows the response of sample household regarding potential benefit of NREGA. It is very good experience of household and they feel NREGA enhanced food security and now they could get adequate food for consumption. Around 35 per cent reported that NREGA had reduced incidence of poverty in the rural area and 20 per cent reported that NREGA helped in reducing distress irrigation. Around 40 per cent reported that now there was no need to borrow and NREGA money helped to repay the loans. All the households reported that NREGA is helpful in economic strengthening. In the eyes of NREGA Act men and women is equal and they get equal for the different work under scheme and it also helped in achieving economic independence to women. Due to equal wage and availability of work with in the village NREGA can be a potential source of woman for economically enhancement and no need to migrate any where for the work.

- 110 - Table-V.6 Provide Details on the Following Potential Benefits of NREGA (Percentage of hh)

Sl.No. Particular Details Percent Q.1 NREGA enhanced food Getting proper food 20.50 security Improved economic condition 15.00 Getting food in summer 16.50 To some extent food security increased 10.00 No more starvation 18.00 Other 17.50 No response 12.50 Q.2 NREGA provided Protection Poverty reduced 14.00 against extreme poverty Availability of cash 10.00 Living standard improved 4.50 To some extent poverty reduced 15.50 Got food 2.00 Can afford education, cloth expenses 3.00 Other 10.00 No response 41.00 Q.3 NREGA helped to reduce No need to migrate 2.00 distress migration Got work within the village 12.00 Reduced migration 10.50 To some extent migration reduced 14.50 Other 12.00 No response 49.00 Q.4 NREGA helped to reduce Able to repay loan 39.50 indebtedness Became financially independent 8.00 No need to take loan 12.00 To some extent indebtedness reduced 17.50 Other 12.50 No response 10.50 Q.5 NREGA gave greater Same wage rate for both male & female 61.50 economic independence to Got Money 8.00 women Self reliance 12.00 Other 6.50 No response 12.00 Q.6 NREGA generated purchasing Increased purchasing power 42.00 power in the local economy Saving increased 4.00 Other 8.00 No response 46.00

- 111 - V.7 Some Qualitative Question related to Food Security

The qualitative issue related to the food security is described in Table V.7. It can be seen from the table that majority of the sample households respondents feel insufficiency of food due to unemployment inadequacy of work and non-availability of work during agriculturally off season. Majority of the sample households reported that not only incase of food in adequacy but due to poor economic condition, they are facing deprivation. 11 per cent sample households reported that it was difficult to meet the medical expenses and this resulted into financial crises. Among the sample households there were 3 per cent member who had no house and electricity, 6.50 per cent were without employment. As far as the important things who lacking in households is concerned 7 per cent sample households reported that they have no agricultural land, 8 per cent deprived from medical facility and 6 per cent from vehicle. As far as responses regarding suggestions for amelioration is concerned 12 per cent of sample households reported that NREGA wage payment should be on time and 8 present for increased in NREGA work and increased wage rate, 40 per cent reported that extent of NREGA work should be increased 6 per cent reported that new type of work should be added and 9 per cent for regularity in provision of work. Table-V.7 Quantitative Questions Related to food Security (Percentage of hh) Sl.No. Particular Details Percent Q.1 Do you feel that your family Because of unemployment 36.00 does not have sufficient food Independent work 18.50 for the whole of year In rainy season 26.50 Other 24.00 Q.2 Have you faced any Medical expenses 11.00 deprivation other than food Water 3.00 insufficiency? If yes, explain Employment 10.00 Economic Condition 30.00 Many things 12.00 Cloth 10.00 Entertainment 6.00 Other 6.00 Education 11.00 No response 1.00 Q.3 What were the main difficulties Medical health 8.00 you and your family faced Family member death 2.00 during the last year? High transport cost 1.50 Financial 12.50

- 112 - Employment 6.50 Education 2.50 Electricity 2.50 Water 3.00 House 3.00 Nothing 12.00 Other 6.00 Not having BPL ration card 2.00 No response 39.00 Q.4 What is the most important Ration card 0.00 thing your household lacks? Agricultural land 7.00 Employment 8.00 Electricity 6.00 Financial/Loan 3.00 House 10.00 Water 5.00 Medical facility 8.00 Transport vehicle 6.00 Many things 10.00 Nothing 5.00 Other 5.00 No response 27.00

Table-V.7 Quantitative Questions Related to food Security (Percentage of hh) Sl.No. Particular Details Percent Q.5 What is the suggestions for NREGA wage payment should be on time 12.00 amelioration? Increase NREGA work 8.00 Increase wage rate 8.00 Provide food under NREGA 1.00 Traveling allowance should be paid 2.00 Advance money should be given under NREGA 0.00 Other 10.00 No suggestion 4.00 No response 55.00 Q.6 Any suggestions to improve Increase work 40.00 NREGA functioning Increase wages 11.00 Suitable timings for NREGA work 0.00 New types of works should be added 6.00 Regularity in provision of work 9.00 Payment on time 8.00 Implement Act as it is 6.00 No suggestion 4.00 Pay in Bank 4.00 Medical facility on field 7.00 Other 0.00 No response 5.00

- 113 -

Summary of the Chapter

This chapter is related to the functioning of NREGA-Qualitative aspects. The information gathered from sample households on above provides various aspects of the functioning of NREGA at the village level. The sample households respondent about the possession of assets and borrowings the total value of assets of non-beneficiary sample households was higher by 1.73 times that of the beneficiary households. The pattern of borrowing revealed that non-beneficiary per households are availing more loans as against the beneficiary households. The majority of sample households have taken borrowing from non-government agency and interest rate was very high. All the sample household werer issued job card but few households reported that their job card is not with them. It is with village heads Rojgar Sevek. All the sample beneficiary reported that NREGA implementation is good and it is for strengthening buying capacity of the people. There is need for a significant improvement in the worksite facility such as child care facilities, provision of drinking water, provision of sheds and first aid facilities.

The sample households reported that the information about schemes have been received by Panchayat secretary and other sources of information. The responses received from majority of sample households revealed that NREGA work was monitored by concerned officials and this work was provided during the agriculturally slack season. It enhances food security and purchasing power of the sample households. Due to income from NREGA wage the poverty of villages have been reduced. The NREGA scheme makes women economically independent also. It was reported that there occurred some break on migration from village to city.

The sample beneficiaries reported that there were non-compliance of the provision of the NREGA scheme such as getting work within 15 days on demand and payment of unemployment allowances and work site facilities. Majority of sample households gave their suggestions for improving the functioning of NREGA scheme. They suggested that economic status of the villager can be upgrade by assuring the extent of NREGA work is increased, regularity of the work and wage payment on time.

- 114 - CHAPTER-VI

Impact of NREGA on Village Economy

This chapter mainly deals with the infrastructure available in the selected villages, occupational structure, prevailing wage rates for various agriculture and non-agriculture activities and qualitative changes in the villages during the last year and after implementation of NREGA. Data collected through village schedules are the main basis for the analysis in this chapter. Also suggestions given are incorporated and discussed in the following paragraphs.

VI.1 Availability of Infrastructure

The basic infrastructure available in all the 10 selected villages were like road connectivity, communication system, banking, educational health and sanitation, marketing facilities, Gram Panchayat Centre, Self Help Groups (SHG) Centre, railway connectivity, post office and cooperative credit society which are discussed in detail in the following paragraphs. Table-VI-1 Infrastructure Available within the Village (% of villages) Particular Within village Nearest Distant village If nearest village, village or far off places average distance(Kms) Road connectivity 100 - - - Railway connectivity 20 - - 11.5 Landline or mobile connectivity 100 - - - Post Office 30 - - 3.6 Co-coperative credit society 30 - - 4.2 Regional Rural Bank 20 - - 7.8 Commercial Bank 10 - - 9.4 Agricultural Produce Market 100 - - - Self Help group Centre 100 - - - School Primary 100 - - - School Secondary 60 - - 2.1 School Higher Secondary 30 - - 5.3 Primary Health Centre 20 - - 6.5 Hospital/ Dispensary 10 - - 13.6 Gram Panchayat Office 100 - - - Fair Price Shop 50 - - 2.5 Any Other - - - -

- 115 - VI.1.1. Road Connectivity

All the selected villages were connected with roads of which 80 per cent villages were connected with pitch roads and 20 per cent were concrete roads.

VI.1.2 Railway Connectivity

Only 20 per cent of total two villages were connected with railway. The average distance of remaining villages from railway connectivity was 11.5 Kms.

VI.1.3. Telephone Connectivity

Only 40 per cent villages had facility of landline telephones 100 per cent villages had mobile phone connectivity.

VI.1.4. Post Offices

There were facility of post offices in 30 per cent villages and average distance of post offices from the villages was 3.6 Kms.

VI.1.5. Co-operative Credit Society

This facility was available in 30 per cent of total selected villages. The average distances of places where cooperative credit societies were available was 4.2 Kms.

VI.1.6. Regional Rural Banks

Among all the 10 selected villages only 20 per cent i.e. 2 villages had facility of Regional Rural Banks. The average distance of Regional Rural Banks from villages was 7.8 Kms.

VI.1.7. Commercial Banks

Only 10 per cent villages had facility of commercial banks from the villages was 9.4 Kms.

- 116 - VI.1.8. Self Help Group Centre

Self Help Group Centres were available in all the selected villages in the area under study.

VI.1.9. Primary Schools

Each selected village had primary school. Few villages had public schools also.

VI.1.10. Secondary Schools

60 per cent villages had secondary schools. Average distance of secondary schools from the remaining villages was 2.1 Kms.

VI.1.11. Higher Secondary Schools

Only 30 per cent villages had higher secondary schools. In the remaining villages the students had to travel about 5.3 Kms to attend the higher secondary schools.

VI.1.12. Primary Health Centres

Primary Health Centres were available in 20 per cent i.e. 2 villages 80 per cents had to travel an average distance of about 6.5 Kms to visit the primary health centre.

VI.1.13. Hospital/Dispensary

Dispensary was available in 10 per cent of the villages. The patients of remaining villages had to travel for this facility to an average of 13.6 Kms,

VI.1.14.Gram Panchayat Office

All the villages had Gram Panchayat Officer and other related infrastructure.

VI.1.15.Fair Price Shops

50 per cent of villages had fair price shops and for the remaining 50 per cent, it was available at a distance of two and half Kms.

- 117 - VI.2. Occupational Structure

There seems to be some change in the occupational structure in the village’s economies overtime. TableVI-2 shows the occupational structure of households of the selected villages at two points of time i.e. during the year 2009 and year 2001. The table-VI-1 reveals that there had been changes in the proportion of the cultivators households of 53.3 per cent during 2001and 42,90 per cent in the year 2009 and that of agricultural labourer from 36.5 per cent to 33.70 per cent over the same span of period. Besides the above occupational structure there was an increasing trend in all other occupational structures of households in the selected villages. There was a slight increase in the households of small industry from 0.5 per cent to 0.8 per cent and those dependent on other manufacturing works from 1.4 per cent to 1.9 per cent. In case of the households engaged in construction works it increased from 6.1 per cent to 9.7 per cent over the period from 2001 to 2009. This reflects a clear change in occupational structure. There had also been an increase in the occupation of trends, commerce and business from 1.0 per cent to 2.1 per cent and in transport and communications from 0.4 per cent to 0.8 per cent. All-though there was slight increase in occupation of other service but it was not in an adequate manner. Table-VI-2 Occupational Structure (% of hh) Occupation Reference Period 2009 2001 1 Cultivators 49.9 53.3 2 Agricultural Labour 33.7 36.5 3 Household Small Industry 0.8 0.5 4 Other Manufacturing/ mining 1.9 1.4 5 Construction 9.7 6.1 6 Trade, Commerce and Business 2.1 1.0 7 Transport and Communication 0.8 0.4 8 Other Services 1.1 0.8 9 Total 100.00 100.00

VI.3. Impact on Wage Rates

As per the eyes of law both men and women are treated equally for making the wage for employment incase of their same work. But it is in theory only, in practice the wage rates

- 118 - of women are always lower than the wage rates of men. Table VI-3 shows the wage rates structure of the selected villages regarding the agricultural and non- agricultural activities. During the reference period the average wages paid to men for different activities were Rs. 98 as compared to Rs. 75 paid to women. It was observed that the wage rates had significantly gone up for all the activities during 2005 to 2009. After the implementation of NREGA the wage rates had rapidly increased, but it was not due to NREGA only. There were many other factors which were responsible for the increase in wage rates. Table-VI-3 Wage rates for different activities (% of villages) Activity Reference Period Before NREGA (2009) (2005) Male Female Male Female Prevailing Agricultural Wages 60.00 40.00 37.50 29.00 Prevailing Non-Agricultural Wages 98.00 75.00 70.00 50.00 Construction 120.00 100.00 100.00 80.00 Mining 140.00 100.00 80.00 80.00 Other Electrician 100.00 - 65.00 - skilled Plumber 150.00 - 80.00 - work Pump-set boring 120.00 - 70.00 -

VI.4. Agricultural Labour Charges

The wage rates of agricultural labourers for the different activities had also increased significantly during the year 2009 in comparison of the same during the year 2005. Table-VI-4 shows the wages for the different operations of agriculture sector. After the implementation of NREGA some agricultural labourers had shifted from agricultural works and caused shortage of agriculture labourers. This was the main reason of tremendous increase in the wages of all sorts in the area under study.

- 119 - Table-VI-4 Prevailing Labour Charges for Agricultural Activities

(In Rs per acre.) Activity Reference period Before NREGA (2009) (2005) Ploughing 900 600 Leveling 300 200 Weeding 720 540 Paddy transplanting 800 580 Harvesting of wheat 1000 700 Harvesting of paddy 650 400 Harvesting of grams 960 700

VI.5 Changes in Villages

Since the implementation of NREGA, there occurred a change in all the qualitative aspects in the selected villages such as costs and wages in agriculture sector labour migration and levels of living etc. The Table VI-5 shows the changes in different aspects in the villages. All the sample households responded about the labour shortage.

- 120 - Table-VI-5 Qualitative Questions on changes in the Villages during last one year (% of Villages)

Description Yes No Not sure Was there shortage of agricultural wage labour at some point 100 - - during last year After implementation of NREGA has there been a shortage of 80 20.00 - agriculture labour After implementation of NREGA the cost of production in 90 10.00 - agriculture increased by 10 per cent because of scarcity of labour Cost increased by 20 per cent 40 - - Cost increased by 20 to 50 per cent 30 - - Cost increased by 50 to 100 per cent 20 - - After implementation of NREGA have labour migration trend 70 30.00 - affected After implementation of NREGA labour who migrated earlier 20 - - to town/city are coming to work in the village More labour is migrating from the village as wage rate in the 20 10.00 - town is higher than wage rate under NREGA or other activities in the village Some labour has come back to work in NREGA but others are 20 moving to the town/ city because of wage different There is no change in labour migration by NREGA activities 30 After NREGA change in wages of casual labourers has 100 increased After NREGA change in wages of casual labourers has 100 decreased After NREGA change in wages of casual labourers remained 0 same The trend of people living in village and going to work outside 40 0 daily has increased The trend of people living in village and going to work outside 20 60 0 for longer period has increased Has living standard improved in your village since the 70 80 0 introduction of NREGA After NREGA have you witnessed increase in household 100 0 0 consumption in village After NREGA have you witnessed more children are now going 40 60 0 to the school After NREGA have you witnessed change in trend of attached 30 70 0 labour in agriculture After NREGA, have villager’s awareness towards Government 100 Schemes increased

- 121 - VI.5.1.Shortage of Labourers

Table-VI-5 reveals that before the implementation of NREGA the agricultural labour shortage reported was 20 percent in the selected villages and after the implementation of the NREGA. This labour shortage grew up to 70 per cent in the selected villages of the area under study.

VI.5.2.Cost of Productions in Agriculture

In all of the selected villages the prevailing wage rate of 100 per day for agricultural labour increased significantly. Due to arrangement of NREGA Programme there was a tremendous shortage of agricultural labourers in all selected villages. The wage rate of hired labourers had significantly grown. As a result of this increase in wage rates of hired labourers the cost of the agricultural production had also increased exorbitantly. It was found generally that cost of agricultural production had grown up by about 10 per cent in 30 per cent of selected villages by 30 per cent in 60 per cent of selected villages and by 20 -50 per cent in 10 per cent of selected villages. Thus, it was obviously clear that the cost of agricultural production had increased considerably in all the selected villages.

VI.5.3.Trends of Labour Migration

After the implementation of NREGA in all the selected villages there was a decreasing trend in the migration of labourers from villages to towns. In 70 per cent of the selected villages it was found that labourers who migrated earlier to other places for wage earning were now coming back in a considerable extent to works in villages under NREGA works.

It was also found during the course of survey that NREGA effect on labour migration was only on unskilled labour. As the wage rates available in towns or other places was higher than the NREGA wage rates.

VI.5.4.Changes in Wages

In all the selected villages the wages of hired labour had increased after the implementation of NREGA

- 122 - VI.5.5.Working Outside the Villages

After implementation of NREGA there are some slight decreases in migration of village worker for outside work. The responses from sample households show that the migration of villagers was still continuing.

VI.5.6.Living Standard

After implementation of NREGA the standard of living of the villagers have increased specially in respect of consumption pattern, education, entertainment etc. Due to increase in purchasing power it becomes easy to spend the money on different items.

VI.5.7.Education

Due to increase in income through NREGA Scheme, the sample households were thinking about the education of their children.

VI.5.8. Attached Labour

Sample households reported about the incidence of practices of attached labour 70 per cent of sample household responded negatively and 30 per cent positively.

VI.5.9. Awareness about Government Scheme

Sample households reported that a welcome change which took place due to implementation of NREGA is the awareness regarding the government scheme. They responded that due to Panchayat secretary and means of communication such as television, radio and newspaper we were well known about the scheme.

- 123 - Table -VI.6 Quantitative questions about the functioning of NREGA

Q 1. Was there a shortage of agricultural wage at some point during last year? If so in which months? Answer July to August, October to December, March to May Q 2. After implementation of NREGA has there been a Shortage of Agriculture labour? If yes, in which years/months? Answer August to December, January to May Q 3. Give details of change in wages of casual labour during the last 5 years after NREGA Answer Wages of casual laborer increased in all the selected districts Q 4. In what way the standard of living improved in your village since the introduction of NREGA? Answer Income labour increased, now children labourer can spent on education, cloth, medical etc. and savings Q 5. In what way the household consumption improved in your village since the introduction of NREGA Answer Labourer can purchase, vegetable, food-grains, milk, meat and other things Q 6. In what way NREGA has impacted the children education Answer Awareness about education, increase ion purchasing power. Q 7. In what way NREGA has impacted the trends of attached labour in agriculture Answer Labourer like NREGA work than agricultural work high wage rate. Q 8. In what way NREGA has improved villagers awareness towards Government Schemes Answer Punhayat secretary, Gramshabha, Television, Radio, New paper DRDA, Local people Q 9. Your suggestions to improve the implementation of NREGA for the benefits of both labourers as well cultivators? Answer Timely payment of wages, infrastructural facility on work site, provide work on off season, technical training.

- 124 - Problems Encountered and Suggestions to improve NREGA

There were three important issues which were related to the problems encountered and suggestions to improve NREGA. The Gram Pradhan as well as village authorities had pointed out about the above issues at the time of survey. Similar issue of the beneficiaries was also found in the selected villages. First issue which is more beneficial for the NREGA was payment of wages should be done in time because of there were general tendency of delay in wage payment by more than two weeks. In case there were huge work and chance of employment is better work and chance of employment is better to the villagers then non payment of wages can be tolerate if they should get a lum-sum payment in every week.

Second issue was related with period of availability of work. It was pointed out by the village authorities that the work should be provided in the agriculturally slack season. This practice can increase income of the labourers and they can enjoy better consumption pattern. There should be a break on value of migration also.

Third issue was pointed out by village authority than for a better implementation of any programme there should be a well knowledgeable technician, so that work proposal about NREGA work can be sent to District Rural Development Authority (DRDA) for the sanction. A good technician can help in minimizing the expenditure of the projects.

Summary of the Chapters

This chapter is related to NREGA impact on village economy. The responses gathered from village authorities show that the villages have started showing an economic charge from last decide. It can be seen from the village data that the occupational structure of the villager was also have a slight change over the period. The NREGA has serious impact on wage rate of the men and women labourers on both the sector i.e. agriculture and non agriculture. It has very increasing treads in both cases (men and women) NREGA was most important factor for increasing the wage rate of village workers. The responses collected from the villages reveal that there were labour shortage and labour migration in the villages after implementation of the NREGA.

- 125 - The village authorities response that due to increase in population and decreased in agricultural land there is an increase in non-farm activity in rural area and villagers are more aware of the scheme now than before.

It was reported by village authority that another important impact of NREGA on rural economy is children education. Now due to increase in come the labourers were sending their children to school.

The village authorities as well as villages were giving suggestions regarding problems and functioning of NREGA. First, suggestion is timely payment of wage second is work availability should be in the period of agricultural slack season and thirdly there should be a well knowledge person in technical field who can make work proposal in best way.

- 126 - CHAPTER-VII

Summary and Conclusion

Introduction

India is a basically an agrarian country. More than 80% population of the country resides in rural areas and their livelihood is agriculture. The availability of cultivated land has been reducing year by year due to expansion of urbanization and industrialization. Since, the commencement of mechanization in agriculture, the opportunity of employment in agriculture is also coming down year by year. The disguised employment is also found very much in agriculture sector. The employment opportunity in agriculture is also seasonal. It does not provide the employment to rural work forces through out the year. On account of this, the migration of rural workforces from rural areas to cities was common phenomena. Also even after more than 60 years of independence in India almost 80% of its population suffers from malnutrition and availability of food grains per capita has reduced as compared to same during 1950s. More than 80% of total farmers of the country are small and marginal. Apart from this, a large of chunk of rural households are also landless and their economic condition is very deplorable.

The elimination of poverty from rural workforces to provide gainful employment was main agenda of Government of India. In the light of above Government of India has launched a landmark National Rural Employment Guarantee Act (NREGA) on 7th September 2005 across the country. This Act has been renamed as the Mahatma Gandhi National Rural Employment Guarantee Act in December 2009. The aims of NREGA was to enhance livelihood security of households in rural areas of the country by providing at least 100 days of guaranteed wage employment in a financial year to every households whose adult members volunteer to do unskilled manual work at a statutory minimum wage rate.

- 127 - The NREGA was implemented in phased manners in India. In 1st phase, i.e. 2006, 200 most backward districts of India were covered. In 2nd phase, i.e. 2007-08, 130 more districts were covered under NREGA. In 3rd phase i.e. 2008-09, all the remaining districts of country have been taken under preview of NREGA. As per record of 2010-11, 1.45 billion days of employment to 41 million rural households of India were benefited under NREGA. Of total employment of rural population under NREGA, the share of females accounted for 50.3 per cent. The share of SC and ST households was about 50 per cent. Past studies show that impact of NREGA was very positive on different fronts in rural areas of India. It has increased the bargaining capacity of the poorest of poor at every stage from demanding a job cards to ensuring legitimate wage for work. It is also fruitful in stopping the migration of rural workforces. However, the wage employment programmes in different names had been launched in different years since 1960s in India, which could not yield good result in providing sufficient employment to rural masses. Among the wage employment programmes the NREGA has been found more successful to increase the level of social security to villagers and creation of productive assets. Even then there was a need to evaluate the performance of programme on the basis of different provisions of the NREGA Act. The present study is a modest attempts to asses the impact of NREGA on wage rates, food security and rural urban migration in the selected districts of Uttar Pradesh.

VII.2. Main Objectives of the Study

The present study on “Impact of NREGA on Wage Rates, Food Security and Rural Urban Migration in U.P.” has been conducted with the following objectives:- 1. To measure the extent of manpower employment generated under NREGA, their various socio-economic characteristics and gender variation in the sample districts of U.P. 2. To compare wage differentials between NREGA activities and other wage employment activities. 3. To study the effect of NREGA on the pattern of migration from rural to urban areas. 4. To find out the nature of assets created under NREGA and their durability.

- 128 - 5. To identify factors determining the participation of people in NREGA scheme and whether NREGA has been successful in ensuring better food security to the beneficiaries. 6. To assess the implementation of NREGA, its functioning and to suggest suitable policy measures to further strengthen the programme.

VII.3. Data and Research Methodology

The present study is based on both primary and secondary data. The sampling design given by the co-ordinator Centre of the study (ADRT Banglore) has been totally adopted for the selection of districts, villages and respondents. The primary and secondary data has been gathered from different sources. For collecting the primary data, multi stage random sampling method was followed for the study, NREGA has been implemented in three phases in the state of U.P. as well as whole country. In Uttar Pradesh, 22 districts in first phase, 30 districts in second phase and 20 districts in third phase have been taken for the implementation of NREGA. For the present study five districts namely Saharanpur, Etah, Barabanki, Allahabad and Kushi Nagar belonging to different phases and located at north, west, central, south and east part of the state have been selected. These five districts are selected in such a manner that they could represent whole state to the maximum possible extent. From each selected district after consulting with the concerned government officials two villages were selected by keeping account, that one village is located around 5 Km from the distance of district head quarter or main city/ town and another village is in farther location of 20 Km. or more from the distance of district head- quarter or main city town. From each selected village 20 beneficiaries (working as NREGA worker) and 5 non-beneficiaries (working as wage employee other than NREGA) have been selected. For the selection of respondents a complete list of the households having job card and working in NREGA and other than NREGA work was prepared for each selected village alongwith the caste wise information of the workers. After the prepared list of workers stratified random sampling method was adopted for selection of the respondents giving proportional representation to the caste i.e schedule caste, schedule tribe, other backward caste and forward caste. A due representation was also given to the women respondents.

- 129 - The primary data for the study were collected through personal interview method. Information regarding demographic profile, main occupation, income structure, consumption pattern, mobile and immobile property etc. were gathered together. Secondary data for the study was collected from the website of the National Rural Employment Guarantee Act 2005 of the Ministry of Rural Development, Government of India. Thus, in all 5 districts 10 villages, 200 beneficiaries and 50 non- beneficiary’s samples were the basis of the present study. Table-I.1 presents information about the sampling design. Table-VII-1 Sampling Design

Districts Phase Location Village-I Village-II Total in the Name NREGA Non- Name NREGA Non- state Nrega Nrega Saharanpur III North Kakarhui 20 5 Kularkikhard 20 5 50 Etah II West Nagala 20 5 Ram Nager 20 5 50 pawal Jalalpur Barabanki I Central Barauli 20 5 Semari 20 5 50 Allahabad II East Dhobahat 20 5 Kaundi 20 5 50 Kushinagar I East Khirkiya 20 5 Danda 20 5 50 Dubey Total 100 25 100 25 250

VII.4. Reference Period- The reference period of the study was 2009.

VII.5 Major Findings of the study

The major findings of the study have been discussed as follows:-

VII.5.1 Man power Employment Generated under NREGA in Uttar Pradesh and its Socio Economic Characteristics. The performance of NREGA in the state is analysed for the years 2008-09. 2009-10 and 2010-11.The total expenditure on NREGA was Rs. 356887.7 lakhs in 2008-09 which has increased to Rs. 590003.9 lakh in 2009-10, showing 65.32% increase over the period. It shows that expenditure on NREGA has been increasing year by year in U.P.. The progress work under NREGA was quite satisfactory. As far as the total work in progress

- 130 - is concerned were 251328 in 2008-09, 684019 in 2009-10 and 926175 in 2010-11. Total numbers of job-cards issued to the households were 1065018 in 2008-09, which has gone up to 1305250 in 2010-11 showing 22.56 per cent increase over all period. It reflects that issue of job cards has been increasing from year to year in U.P.

The employment demand by households over the period was 4338490, 5667644 and 6581786 against provided employment of 4336466, 5483434 and 6431213. The households which had completed 100 days of works in the state were 647525 in 2008-09 while it has declined to 600559 in 2010-11.

It is observed that households completed 100 days of work has increased to 796929 in 2009-10 from 647525 in 2008-09, which has sharply declined by 7.25 per cent in 2010- 11 over the base year of 2008-09.

VII.5.2. Total Employment Generated and Various Socio-Economic Characteristics Of the total 13052850 job-cards holders, the schedule caste accounted for 47-85 per cent followed by 0.93 per cent and 51.22 per cent of ST and other castes respectively. Among all the districts of U.P., Sitapur district had issued highest job cards being 3.58 per cent followed by 3.29 per cent in Lakhimpur Khiri district. As far as job-cards issued to SC is concerned, stood at first place (97.790)- followed by Kanpur district (69.91%) Sitapur district obtained first place in demanding 255303 man-days followed by Barabanki district demanding 211234 man days. Out of 72 districts of U.P., 13 districts could not be provided 100 per cent employment to their households. During 2009-10, the total housedholds of 5667644 had demanded employment of which 96.74 per cent had received employment under NREGA. This is good sign of success of NREGA in U.P. As far as the number of mandays generated is concerned, the share of men was 78.33 per cent against share of 21.67 per cent of women. A total of 10652018 job-cards had been issued to households during 2008-09 of which SC households accounted for 50.72 per cent followed by 48.42 per cent belonged to other casts.

VII.5.3. Projects Completed and Progress under NREGA The projects have been classified into following manners under NREGA.

- 131 - I. Rural connectivity II. flood control, water conservation and harvesting III. Drought proofing IV. Provision of Minor irrigation facilities V. Renovation of Traditional water bodies VI. Land development Rajeev Ghandhi Centre etc. Among the SC project, a total of 133589 projects of rural connectivity were completed, which stood at first place. The water conservation and harvesting projects being (27571) were completed which stood at the second place. The least number of projects completed were projects of Rajeev Ghandhi Centre. It shows that the projects of rural connectivity had received first job- priority in NREGA in U.P. Of all the districts of 72 of U.P., Jhansi and Sitapur districts were found top in the completion of number of projects under NREGA.

VII.5.4. District-wise Expenditure in Work Completed and Under Progress in NREGA The maximum expenditure was incurred on rural connectivity works followed by water conservation and harvesting works. Thus, it may be concluded with this impression that the rural connectivity components have an important place within NREGA activities. The district-wise analysis shows that Jhansi district was on top as highest amount of Rs. 9731614 was spent on completed projects while Sonbhadra district was on top in expenditure of Rs. 2,17,83 114 on the completion of ongoing projects.

VII.5.5. Social Auditing and Inspection of NREGA Works (2008-09 to 2010-11) The study reveals that more than 20 such districts where 100 per cent social auditing was done. The number of GPs socially auditing were found to be highest i.e. 4928 in Gonda district against the lowest i.e. 20 Gautam Bhudha district in 2009-10. The Maximum social audits were done in Baharaich and Gonda districts till the Year 2010-11. While Gautam Budha Nagar was the district wherein minimum social audit were done till 2010- 11. Regarding inspection conducted during same span period i.e. 2008-09 to 2010-11 reveals that maximum inspections at district level were conducted in Kushinagar districts followed by Unnao district at block level.

The analysis also reveals that Kushinagar, Unnao, Kanpur Dehat and Pilibhit districts of the state were found more keen for NREGA works during the span of 2008-09 to 2010- 11.

- 132 -

VII.5.6. NREGA Payment Processed through Banks/ Post office during 2008- 09 to 2010-11 The wage payment was disbursed through banks and post offices. The number of bank account opened during 2008-09 was 5715193 which has gone upto 8441261 during 2010- 11. Showing 47.70 per cent increase over the period. The individual bank accounts were much higher than joint bank accounts in NREGA in the study period. The number of post office accounts was 120808 during 2010-11 which was more being 148402 during 2008- 09. Out of total disbursed amount of Rs. 330820 lakh during 2010-11, 98.53 per cent was disbursed through banks against 1.47 per cent through post offices. Thus the banks were more access to wage workers of NREGA than post offices in U.P.

VII.5.7 Unemployment Allowance Paid in Lieu of not Providing Employment during 2009-10

Of 72 districts of U.P. only 13 districts were found that unemployment allowance due in term of man days. The highest allowance i.e. for the 11285 man days was due in Sitapur district against lowest for 33 man-days in Azamgarh, Allahabad and Kashi Ram Nagar districts during 2009-10. It shows that unemployment allowances were due in few districts of the State. Regarding the payment of employment allowance, this was not paid by any district of the state in the study period.

VII.6. Effect of NREGA on Households Income and Consumption Pattern

Data related to profile of the respondents and their income, consumption pattern etc were collected from 200 households of NREGA beneficiaries and 50 non-beneficiaries. The over age size of household member was 4.15 in case of beneficiaries. The average number of earning member was 2.31 per household on beneficiary against 2.26 in case of non-beneficiary per household. The males were dominating earning members in both cases. It is also noticed that OBC and SC were main dominating castes in both cases. There was no ST household in non-beneficiary households in none of selected districts. All of beneficiary as well as non-beneficiary households had ration card. Among the beneficiary households, 34 per cent was BPL card holders and 47 per cent APL card holders. In case of non beneficiary households, 54 per cent had APL cards 24 per cent

- 133 - had AAA cards and remaining 22 per cent had BPL cards. The main occupation was non agricultural operations followed by agricultural operations in both cases. Out of total man days, per household worked under NREGA, accounted for 15.51% in case of beneficiary households.

Non-agricultural labour had highest percentage of man days employment in both households. The non-farm sector had contributed around 64.82 per cent of total employment man days generated in both cases.

VII.6.1. The overall average annual net income was worked out at Rs. 46,851 in case of beneficiary while it was estimated at Rs. 54,595 in case of non beneficiary. Which was higher by 16.53 per cent over the annual income of beneficiary household. Out of total average annual net income, the NREGA accounted for 13.08 per cent. The non farm activities were main sources of income of both cases.

VII.6.2. The consumption pattern of households indicates the level of their food security. The per capita per month consumption of total cereals was a little bit higher on beneficiary households than that of non beneficiary households. While it was just reverse in case of pulses. The per capita per month consumption of vegetables was around two times higher in case of beneficiary households than that of non-beneficiary households. While it was reverse in case of fruits. There was a low difference in consumption of egg, fish meat, sugar, spices between beneficiary and non- beneficiary households.

The consumption of milk and milk products showed a wide difference across the households. The variability in food expenditure was higher in case of beneficiary households compared to non-beneficiary households. The total monthly per capita expenditure of beneficiary household was higher by 1.11 times than that of non- beneficiary households. This indicates that due to NREGA scheme, the earning of the beneficiaries have been significantly increased and on account of this, the CV of consumption expenditure on both categories of food and non food items in majority of cases was seen to be higher for beneficiary households. This was due to earning from NREGA. The average annual household income of beneficiary was Rs. 46,852 against

- 134 - Rs.54,595 of non-beneficiaries while average annual expenditure on consumption per household was Rs. 24,654 as compared to Rs.25471 on non beneficiary household. Thus, it reflects that income and expenditure on consumption were higher by 1.17 and 1.03 times on non beneficiary household than that of beneficiary households. At the aggregate level in both cases the annual income of respondents was higher by 1.17 and 1.03 times on beneficiary households than that of non-beneficiary household. At aggregate level in both cases the annual income of respondent was higher than the average annual consumption of the respondents. The household income other than NREGA for beneficiaries at the household level was negatively related to participation in NREGA while household size and SC and ST households were positively related with NREGA participant. The per capita consumption of pulses of beneficiary and non-beneficiary was higher than NSS data while it was reverse in case of rice The per capita per month consumption total cereals of beneficiary and non-beneficiary households was similar to NSS data.

VII.7. Work Profile under NREGA Wage Structure and Migration Issue. The work profile of beneficiary households under NREGA reveals that an average 1.42 persons per household were employed under different activities of NREGA across the state. Within social categories, SC and ST beneficiaries were highest and had 1.49 and 1.50 persons per household employed by NREGA respectively. The general categories with 1.14 persons per household employed in NREGA was on lowest place. The participation at the aggregate level was 0.97 of male and 0.45 female per household across the selected districts during reference year. The study also reveals that at aggregate level, per household man days employed under NREGA was 61.63 against 100 man days The participation women beneficiary per household was 0.45 against 0.97 men beneficiary per household. The maximum number of person days was worked out (67.50) per household in case of ST followed by SC category (63.37) person days per household. There was no variation in wage rate under NREGA activities across the gender in U.P. The wage rate was Rs. 100 per day for men as well as women under NREGA. Few beneficiaries had reported that there was unfair means practice had been adopted by Gram Panchayat in the payment of wages. The different activities like road connectivity,

- 135 - water conservation and harvesting, renovation of traditional water bodies etc. had been taken up under NREGA in U.P.

The study also reveals that majority of beneficiary households were engaged under road connectivity, flood control minor irrigation water conservation and harvesting works. This pattern was more or less similar across the states. A majority of households i.e. 57 per cent reported that quality of assets generated under NREGA was good. However, unemployment allowance was not received by any sample households. The wage rate under NREGA was higher than wage rate of agricultural and non agricultural labour in most of the districts of the state. There was no variation in wages received by NREGA workers and it was Rs. 100 per day for both groups men and women across the state.

VII.8 Qualitative Aspects of NREGA Functioning

The analysis reveals that values of assets owned by a non beneficiary household was Rs. 2,51,702 against Rs. 2,88,219 per beneficiary household. It shows that assets position of non beneficiary was sound and better. Among the assets value of land, house and live stock was quite higher than other assets on beneficiary and non-beneficiary households in the study areas of U.P.

It is also evident from the analysis of the study that the main source of borrowing was banks in both cases. The per household per annum of borrowing amount was Rs. 3050 in case of non beneficiary against Rs. 3585 in case of beneficiary household. The purposes of borrowing of loan from banks were to purchase of land, live stock etc. Apart from these, loans were also taken to meet out daily consumption need, social ceremony, construction of house etc. The Self Help Group (SHGs) were also source of institution to borrow the loan for other purposes. It is witnessed that the strength of borrowing households was higher who had accounts in the banks.

- 136 -

VII.9. Quantitative Aspects Related to Food Security

Majority of respondents had not sufficient food grains to meet the consumption need of their family members throughout the year. The unemployment, inadequacy of work during the off season of agriculture were major problems of selected households. Most of the selected households had not sufficient physical and financial assets as per their requirement. The study also reveals that 12 per cent respondents were in view that amelioration of poverty would be possible to proper payment of wages, increase of work of NREGA and provision of food during the work. As far as response regarding the suggestion to improve the efficiency of NREGA, the 55 per cent of selected respondents was of the view that the increase of work, enhance the wage (40%) suitable timing of NREGA etc (11.00) would be fruitful to attract more work forces.

VII.10 Impact of NREGA on village Economy

The infrastructural facilities of selected villages are more or less developed. The road connectivity, land line or mobile phone, agricultural produce, markets, primary school, gram panchayat office, Self Help Groups centre etc were hundred per cent available in the selected villages. The financial institutions and availability of primary hospitals were quite inadequate in members in the selected villages.

The impact of NREGA on occupational structure was slightly visible on the beneficiary households of the selected villages. There was slight increase in the small-scale industries followed by trade and business activities in the households. The impact of NREGA on wage rate for different activities of agricultural and non-agricultural was quite impressive. The wage rate per day for work of agricultural operations was Rs. 37.50 and Rs. 29.00 in 2005, which has increased to Rs. 60 and Rs. 40 in 2009 for men and women respectively. The wage rate for non-agricultural activities has significantly increased in rural areas due to NREGA. After the implementation of NREGA, the agricultural labourers had shifted from agricultural works to non-agricultural works. This was causing the shortage of agricultural labours. The labour shortage in agriculture was estimated at

- 137 - about 70 per cent in the selected villages of the selected district due to implementation of NREGA.

On the account of increase in wage rate due to NREGA the cost of production of crops has increased by 20 to 40 per cent. The migration of labours has also stopped about 70 per cent after implementation of NREGA. The labours generally do not go outside from their villages to seek works since the implementation of NREGA. After implementation of NREGA, children of poor households are now going to school. The impact of NREGA on the socio-economic conditions of rural households was quite significant. As a result of this, the shape of villages and condition of target groups has changed from worst to better. This is landmark programme of Govt. of India to improve the socio-economic conditions of target groups of the village society. It only needs to proper implementation of NREGA activities at grass root level without adopting any foul means.

VII.11. Policy Implications

The NREGA is one of the best programmes of Govt. of India to improve the quality of life of dispersed classes of the society of villages of Uttar Pradesh. The impact of NREGA is very positive from every corner for the improvement of socio-economic conditions of target groups of the society. The infrastructural facilities have improved in remote villages. The wage rate which was quite low in the villages has significantly improved. Migration of unskilled labours is more or less stopped. The income of households has considerably increased. The irrigation facilities have improved. These improvements have been attributed by NREGA. Even then, there are still some scope for improvement in policy of NREGA in the context U.P. which are suggested as follows.

1. There is a more need to strengthen Gram Panchayat bodies to proper execution of works under NREGA. 2. There should be full transparence in issuing the job cards. 3. Payment of wage should be made through banks at any cost to root-out the corruption in the payment of wages. 4. The payment of wage to labours should be made after proper monitoring of their allotted works.

- 138 - 5. The monitoring cell of NREGA should be more vigilant to make more transference in the different activities of NREGA. 6. The foul payment and wrong entry in job cards should be strictly prohibited to make the responsible to Gram Panchayat etc. 7. The payment for materials and wages should be done by single agency to avoid the delay of works. 8. Since majority of workers of NREGA are illiterate, therefore, banks should cooperate at the time of with-drawl of amount from their accounts. Sincere efforts should be made to reduce the delay in the payment of wages. The participation of female workers in the activities of NREGA is very less across the state, hence, the awareness should be propagated among the female workers to take more part in the activities of NREGA to increase their family income. 9. The activities of NREGA should be taken up in slack season of agriculture to avoid the shortage of labours in the agricultural operations. 10. The job cards should be available to each and every household who is willing to do the work under NREGA. 11. The technical staff should chalk-out the plan of NREGA in an advance to timely start of NREGA activities in villages. This would be also helpful in improving the quality of work. The priority of work should be fixed according to demand of villages. The wage rate of labourers has tremendously increased accordingly in the villages due to NREGA. On account of this, the cost of production of crops has also increased simultaneously. Therefore, the prices of commodities should also be increased to safeguard the interest of farmers. 12. The plantation of tress should also get proper attention in the activities of NREGA. 13. The job card holders should get life insurance coverage because some of the activities of NREGA are risky.

- 139 - References:

1. Achrya Sarathi (1990); Maharashtra Employment Guarantee Scheme: A Study of Labour Market Intervention; ILO-ARTEP, New Delhi 2. Government of India (Various issues), Economic Survey of India, Ministry of Finance, New Delhi 3. Mahesh Sharma- Mahatma Gandhi NREGA Present Prakashan Delhi 4. Rozgar Guarantee Kanoon “NREGA” General Information 2009, Allahabad University

Reports:

1. Impact of NREGA on Wage Rates, Food Security and Rural Urban Migration in Maharashtra, Gokhale Institute of Politics and Economics

2. Impact of NREGA on Wage Rates, Food Security and Rural Urban Migration in Himachal Pradesh, AERC, H.P. University, Shilma

3. Impact of NREGA on Wage Rates, Food Security and Rural Urban Migration in Gujrat, AERC, Vallabh Vidya Nagar, Anand (Gujrat)

4. Impact of NREGA on Wage Rates, Food Security and Rural Urban Migration in Punjab, AERC, Punjab Agricultural University, Ludhiana

- 140 - Annexure I

Coordinator’s Comments on the Draft Report

Impact of NREGA on Wage Rates, Food Security and Rural Urban Migration in Uttar Pradesh

Ramendu Roy and Ramji Pandey Agro-Economic Research Centre University of Allahabad Allahabad-211002

1. Chapter 2, Table II.4A and B, Please mention the unit of measurement and give the data in decimal up to one or two digits only

2. Chapter 3, Table III.1: No. of HH is mentioned as 831 for beneficiary and 240 for non beneficiary and thus totaling to 1070. This must be the number of total members whereas selected hh number is 200 for beneficiary and 50 for non- beneficiary as per your table-I.1. Also please recheck the numbers of average earners as aggregate average should not be less than beneficiary and non beneficiary. Card holding for aggregate should be 2.40 and not 0.40.

3. Table III.4 NSS figures are given in three columns. Are these figures for different Rounds then mention the time period. Table III.6, also provide break up of food and non food consumption for beneficiary, non- beneficiary and total.

4. Table IV.3: Aggregate percentages of activities do not add to 100.

5. Table on the migration incidents recorded during the Reference period has not been provided in Chapter 4.

6. Table V.4: Measurement of work: how could be work measured by individual work be 98% and work measured as team work also be 98% as sum total should be 100.

7. Title of Table VI-2 is occupational structure (% of households)

8. Mention the unit of measurement (Rs. Per day or Rs. Per acre) in Table VI-4.

- 141 - Annexure II

Action Taken

“Impact of NREGA on Wage Rates, Good Security and Rural Urban Migration in U.P.”

1. Date of Dispatch of the Draft Report- 26.07.2012 2. Date of Comments received - 10.08.2012 3. Date of dispatch of Final Report- 11.09.2012

Suggestions received from the designated Centre A.D.R.T. Bangalore and appropriate actions taken on comments on “Impact of NREGA on Wage Rates, Good Security and Rural Urban Migration in U.P.” are as follows:

(1) Unit of measurement mentioned in the table-II.4A&B and digit corrected. (2) Chapter 3, Table III.1 is corrected. (3) NSS Rounds have been mentioned. (4) Table-IV.3 has also been corrected. (5) The migration incidents recorded during the reference period has been mentioned in Chapter-IV. (6) Table-V.4 corrected. (7) Title of Table VI-2 has been corrected. (8) Unite of measurement was Rs. Per acre in Table VI.4.

The AER Centre, Allahabad records its extreme possible to peer reviewer for his valuable comments.

- 142 - Executive Summary

Study no. 135 Publication No. 183

Impact of NREGA on Wage Rates, Food Security and Rural Urban Migration in U.P.

Prof. Ramendu Roy Shri Ramji Pandey

2012

Agro-Economic Research Centre University of Allahabad Allahabad-211002

- 143 - Executive Summary

Introduction

India is a basically an agrarian country. More than 80% population of the country resides in rural areas and their livelihood is agriculture. The availability of cultivated land has been reducing year by year due to expansion of urbanization and industrialization. Since, the commencement of mechanization in agriculture, the opportunity of employment in agriculture is also coming down year by year. The disguised employment is also found very much in agriculture sector. The employment opportunity in agriculture is also seasonal. It does not provide the employment to rural work forces through out the year. On account of this, the migration of rural workforces from rural areas to cities was common phenomena. Also even after more than 60 years of independence in India almost 80% of its population suffers from malnutrition and availability of food grains per capita has reduced as compared to same during 1950s. More than 80% of total farmers of the country are small and marginal. Apart from this, a large of chunk of rural households are also landless and their economic condition is very deplorable.

The elimination of poverty from rural workforces to provide gainful employment was main agenda of Government of India. In the light of above Government of India has launched a landmark National Rural Employment Guarantee Act (NREGA) on 7th September 2005 across the country. This Act has been renamed as the Mahatma Gandhi National Rural Employment Guarantee Act in December 2009. The aims of NREGA was to enhance livelihood security of households in rural areas of the country by providing at least 100 days of guaranteed wage employment in a financial year to every households whose adult members volunteer to do unskilled manual work at a statutory minimum wage rate.

The NREGA was implemented in phased manners in India. In 1st phase, i.e. 2006, 200 most backward districts of India were covered. In 2nd phase, i.e. 2007-08, 130 more districts were covered under NREGA. In 3rd phase i.e. 2008-09, all the remaining districts

- 144 - of country have been taken under preview of NREGA. As per record of 2010-11, 1.45 billion days of employment to 41 million rural households of India were benefited under NREGA. Of total employment of rural population under NREGA, the share of females accounted for 50.3 per cent. The share of SC and ST households was about 50 per cent. Past studies show that impact of NREGA was very positive on different fronts in rural areas of India. It has increased the bargaining capacity of the poorest of poor at every stage from demanding a job cards to ensuring legitimate wage for work. It is also fruitful in stopping the migration of rural workforces. However, the wage employment programmes in different names had been launched in different years since 1960s in India, which could not yield good result in providing sufficient employment to rural masses. Among the wage employment programmes the NREGA has been found more successful to increase the level of social security to villagers and creation of productive assets. Even then there was a need to evaluate the performance of programme on the basis of different provisions of the NREGA Act. The present study is a modest attempt to asses the impact of NREGA on wage rates, food security and rural urban migration in the selected districts of Uttar Pradesh.

Main Objectives of the Study

The present study on “Impact of NREGA on Wage Rates, Food Security and Rural Urban Migration in U.P.” has been conducted with the following objectives:- 1. To measure the extent of manpower employment generated under NREGA, their various socio-economic characteristics and gender variation in the sample districts of U.P. 2. To compare wage differentials between NREGA activities and other wage employment activities. 3. To study the effect of NREGA on the pattern of migration from rural to urban areas. 4. To find out the nature of assets created under NREGA and their durability. 5. To identify factors determining the participation of people in NREGA scheme and whether NREGA has been successful in ensuring better food security to the beneficiaries.

- 145 - 6. To assess the implementation of NREGA, its functioning and to suggest suitable policy measures to further strengthen the programme.

Data and Research Methodology

The present study is based on both primary and secondary data. The sampling design given by the co-ordinator Centre of the study (ADRT Banglore) has been totally adopted for the selection of districts, villages and respondents. The primary and secondary data has been gathered from different sources. For collecting the primary data, multi stage random sampling method was followed for the study, NREGA has been implemented in three phases in the state of U.P. as well as whole country. In Uttar Pradesh, 22 districts in first phase, 30 districts in second phase and 20 districts in third phase have been taken for the implementation of NREGA. For the present study five districts namely Saharanpur, Etah, Barabanki, Allahabad and Kushi Nagar belonging to different phases and located at north, west, central, south and east part of the state have been selected. These five districts are selected in such a manner that they could represent whole state to the maximum possible extent. From each selected district after consulting with the concerned government officials two villages were selected by keeping account, that one village is located around 5 Km from the distance of district head quarter or main city/ town and another village is in farther location of 20 Km. or more from the distance of district head- quarter or main city town. From each selected village 20 beneficiaries (working as NREGA worker) and 5 non-beneficiaries (working as wage employee other than NREGA) have been selected. For the selection of respondents a complete list of the households having job card and working in NREGA and other than NREGA work was prepared for each selected village alongwith the caste wise information of the workers. After the prepared list of workers stratified random sampling method was adopted for selection of the respondents giving proportional representation to the caste i.e schedule caste, schedule tribe, other backward caste and forward caste. A due representation was also given to the women respondents. The primary data for the study were collected through personal interview method. Information regarding demographic profile, main occupation, income structure, consumption pattern, mobile and immobile property etc. were gathered together.

- 146 - Secondary data for the study was collected from the website of the National Rural Employment Guarantee Act 2005 of the Ministry of Rural Development, Government of India. Thus, in all 5 districts 10 villages, 200 beneficiaries and 50 non- beneficiary’s samples were the basis of the present study. Table-I.1 presents information about the sampling design. Table-1 Sampling Design

Districts Phase Location Village-I Village-II Total in the Name NREGA Non- Name NREGA Non- state Nrega Nrega Saharanpur III North Kakarhui 20 5 Kularkikhard 20 5 50 Etah II West Nagala 20 5 Ram Nager 20 5 50 pawal Jalalpur Barabanki I Central Barauli 20 5 Semari 20 5 50 Allahabad II East Dhobahat 20 5 Kaundi 20 5 50 Kushinagar I East Khirkiya 20 5 Danda 20 5 50 Dubey Total 100 25 100 25 250

Reference Period- The reference period of the study was 2009.

Major Findings of the study

The major findings of the study have been discussed as follows:-

Man power Employment Generated under NREGA in Uttar Pradesh and its Socio Economic Characteristics. The performance of NREGA in the state is analysed for the years 2008-09. 2009-10 and 2010-11.The total expenditure on NREGA was Rs. 356887.7 lakhs in 2008-09 which has increased to Rs. 590003.9 lakh in 2009-10, showing 65.32% increase over the period. It shows that expenditure on NREGA has been increasing year by year in U.P.. The progress work under NREGA was quite satisfactory. As far as the total work in progress is concerned were 251328 in 2008-09, 684019 in 2009-10 and 926175 in 2010-11. Total numbers of job-cards issued to the households were 1065018 in 2008-09, which has gone

- 147 - up to 1305250 in 2010-11 showing 22.56 per cent increase over all period. It reflects that issue of job cards has been increasing from year to year in U.P.

The employment demand by households over the period was 4338490, 5667644 and 6581786 against provided employment of 4336466, 5483434 and 6431213. The households which had completed 100 days of works in the state were 647525 in 2008-09 while it has declined to 600559 in 2010-11.

It is observed that households completed 100 days of work has increased to 796929 in 2009-10 from 647525 in 2008-09, which has sharply declined by 7.25 per cent in 2010- 11 over the base year of 2008-09. Table-2 An overview of NREGA in Uttar Pradesh

Performance 2008-09 2009-10 2010-11 indicators Total Expenditure 356887.7 590003.9 367447.4 (Rs. Crores) Total Work Taken 295918 801746 1527960 (Nos.) Total work 1617 5890 319889 completed (Nos.) Total work in 251328 684019 926175 progress (Nos.) Total Job Cards 10652018 11698780 13052850 Issued (Nos.) H.H. Demanded 4338490 5667644 6581786 Employment (Nos.) H.H. Provided 4336466 5483434 6431213 Employment (Nos.) Cumulative Person 2272.21 3559.23 3349.01 Days Generated (in Lakhs) Cumulative Nos. of 647525 796929 600559 H.H. Completed 100 days of work Source: The Mahatma Gandhi National Rural Employment Guarantee Act, U.P. Total Employment Generated and Various Socio-Economic Characteristics Of the total 13052850 job-cards holders, the schedule caste accounted for 47-85 per cent

- 148 - followed by 0.93 per cent and 51.22 per cent of ST and other castes respectively. Among all the districts of U.P., Sitapur district had issued highest job cards being 3.58 per cent followed by 3.29 per cent in Lakhimpur Khiri district. As far as job-cards issued to SC is concerned, Varanasi district stood at first place (97.790)- followed by Kanpur district (69.91%) Sitapur district obtained first place in demanding 255303 man-days followed by Barabanki district demanding 211234 man days. Out of 72 districts of U.P., 13 districts could not be provided 100 per cent employment to their households. During 2009-10, the total housedholds of 5667644 had demanded employment of which 96.74 per cent had received employment under NREGA. This is good sign of success of NREGA in U.P. As far as the number of mandays generated is concerned, the share of men was 78.33 per cent against share of 21.67 per cent of women. A total of 10652018 job-cards had been issued to households during 2008-09 of which SC households accounted for 50.72 per cent followed by 48.42 per cent belonged to other casts.

Projects Completed and Progress under NREGA The projects have been classified into following manners under NREGA. I. Rural connectivity II. flood control, water conservation and harvesting III. Drought proofing IV. Provision of Minor irrigation facilities V. Renovation of Traditional water bodies VI. Land development Rajeev Ghandhi Centre etc. Among the SC project, a total of 133589 projects of rural connectivity were completed, which stood at first place. The water conservation and harvesting projects being (27571) were completed which stood at the second place. The least number of projects completed were projects of Rajeev Ghandhi Centre. It shows that the projects of rural connectivity had received first job- priority in NREGA in U.P. Of all the districts of 72 of U.P., Jhansi and Sitapur districts were found top in the completion of number of projects under NREGA.

District-wise Expenditure in Work Completed and Under Progress in NREGA The maximum expenditure was incurred on rural connectivity works followed by water conservation and harvesting works. Thus, it may be concluded with this impression that the rural connectivity components have an important place within NREGA activities. The district-wise analysis shows that Jhansi district was on top as highest amount of Rs.

- 149 - 9731614 was spent on completed projects while Sonbhadra district was on top in expenditure of Rs. 2,17,83 114 on the completion of ongoing projects.

Social Auditing and Inspection of NREGA Works (2008-09 to 2010-11) The study reveals that more than 20 such districts where 100 per cent social auditing was done. The number of GPs socially auditing were found to be highest i.e. 4928 in Gonda district against the lowest i.e. 20 Gautam Bhudha district in 2009-10. The Maximum social audits were done in Baharaich and Gonda districts till the Year 2010-11. While Gautam Budha Nagar was the district wherein minimum social audit were done till 2010- 11. Regarding inspection conducted during same span period i.e. 2008-09 to 2010-11 reveals that maximum inspections at district level were conducted in Kushinagar districts followed by Unnao district at block level.

The analysis also reveals that Kushinagar, Unnao, Kanpur Dehat and Pilibhit districts of the state were found more keen for NREGA works during the span of 2008-09 to 2010- 11.

NREGA Payment Processed through Banks/ Post office during 2008-09 to 2010-11 The wage payment was disbursed through banks and post offices. The number of bank account opened during 2008-09 was 5715193 which has gone upto 8441261 during 2010- 11. Showing 47.70 per cent increase over the period. The individual bank accounts were much higher than joint bank accounts in NREGA in the study period. The number of post office accounts was 120808 during 2010-11 which was more being 148402 during 2008- 09. Out of total disbursed amount of Rs. 330820 lakh during 2010-11, 98.53 per cent was disbursed through banks against 1.47 per cent through post offices. Thus the banks were more access to wage workers of NREGA than post offices in U.P.

Unemployment Allowance Paid in Lieu of not Providing Employment during 2009- 10

Of 72 districts of U.P. only 13 districts were found that unemployment allowance due in term of man days. The highest allowance i.e. for the 11285 man days was due in Sitapur district against lowest for 33 man-days in Azamgarh, Allahabad and Kashi Ram Nagar

- 150 - districts during 2009-10. It shows that unemployment allowances were due in few districts of the State. Regarding the payment of employment allowance, this was not paid by any district of the state in the study period.

Effect of NREGA on Households Income and Consumption Pattern

Data related to profile of the respondents and their income, consumption pattern etc were collected from 200 households of NREGA beneficiaries and 50 non-beneficiaries. The over age size of household member was 4.15 in case of beneficiaries. The average number of earning member was 2.31 per household on beneficiary against 2.26 in case of non-beneficiary per household. The males were dominating earning members in both cases. It is also noticed that OBC and SC were main dominating castes in both cases. There was no ST household in non-beneficiary households in none of selected districts. All of beneficiary as well as non-beneficiary households had ration card. Among the beneficiary households, 34 per cent was BPL card holders and 47 per cent APL card holders. In case of non beneficiary households, 54 per cent had APL cards 24 per cent had AAA cards and remaining 22 per cent had BPL cards. The main occupation was non agricultural operations followed by agricultural operations in both cases. Out of total man days, per household worked under NREGA, accounted for 15.51% in case of beneficiary households.

Non-agricultural labour had highest percentage of man days employment in both households. The non-farm sector had contributed around 64.82 per cent of total employment man days generated in both cases.

The overall average annual net income was worked out at Rs. 46,851 in case of beneficiary while it was estimated at Rs. 54,595 in case of non beneficiary. Which was higher by 16.53 per cent over the annual income of beneficiary household. Out of total average annual net income, the NREGA accounted for 13.08 per cent. The non farm activities were main sources of income of both cases.

The consumption pattern of households indicates the level of their food security. The per capita per month consumption of total cereals was a little bit higher on beneficiary

- 151 - households than that of non beneficiary households. While it was just reverse in case of pulses. The per capita per month consumption of vegetables was around two times higher in case of beneficiary households than that of non-beneficiary households. While it was reverse in case of fruits. There was a low difference in consumption of egg, fish meat, sugar, spices between beneficiary and non- beneficiary households.

The consumption of milk and milk products showed a wide difference across the households. The variability in food expenditure was higher in case of beneficiary households compared to non-beneficiary households. The total monthly per capita expenditure of beneficiary household was higher by 1.11 times than that of non- beneficiary households. This indicates that due to NREGA scheme, the earning of the beneficiaries have been significantly increased and on account of this, the CV of consumption expenditure on both categories of food and non food items in majority of cases was seen to be higher for beneficiary households. This was due to earning from NREGA. The average annual household income of beneficiary was Rs. 46,852 against Rs.54,595 of non-beneficiaries while average annual expenditure on consumption per household was Rs. 24,654 as compared to Rs.25471 on non beneficiary household. Thus, it reflects that income and expenditure on consumption were higher by 1.17 and 1.03 times on non beneficiary household than that of beneficiary households. At the aggregate level in both cases the annual income of respondents was higher by 1.17 and 1.03 times on beneficiary households than that of non-beneficiary household. At aggregate level in both cases the annual income of respondent was higher than the average annual consumption of the respondents. The household income other than NREGA for beneficiaries at the household level was negatively related to participation in NREGA while household size and SC and ST households were positively related with NREGA participant. The per capita consumption of pulses of beneficiary and non-beneficiary was higher than NSS data while it was reverse in case of rice The per capita per month consumption total cereals of beneficiary and non-beneficiary households was similar to NSS data. Table-3 Household consumption of food items (Kg. per capita per month)

- 152 - Food items Benefici- Non- Aggregate NSS NSS NSS aries beneficiaries (1993-94) (1999-00) (2004-05) Rice 5.78 4.98 5.62 6.79 6.59 6.38 Wheat 7.53 6.87 7.39 4.32 4.48 4.19 Other cereals 0.29 0.07 0.25 2.29 1.65 1.55 Total cereals 13.60 11.92 13.27 13.40 12.72 12.12 Total pulses 1.32 1.14 1.29 0.76 0.84 0.71 Sugar etc. 0.64 0.62 0.63 0.871 Edible oils 0.66 0.52 0.63 0.472 Liquid milk 1.56 1.63 1.57 3.94 3.79 3.87 Milk products 0.29 0.04 0.24 NA Spices in gram 64.48 54.71 62.53 45.100 Egg, fish, meat 0.07 0.08 0.07 0.06 0.07 0.05 etc. Fruits 0.35 1.80 0.64 Vegetables 6.82 3.90 6.24 Confectionery NA NA NA NA NA NA

Work Profile under NREGA wage Structure and Migration Issue. The work profile of beneficiary households under NREGA reveals that an average 1.42 persons per household were employed under different activities of NREGA across the state. Within social categories, SC and ST beneficiaries were highest and had 1.49 and 1.50 persons per household employed by NREGA respectively. The general categories with 1.14 persons per household employed in NREGA was on lowest place. The participation at the aggregate level was 0.97 of male and 0.45 female per household across the selected districts during reference year. The study also reveals that at aggregate level, per household man days employed under NREGA was 61.63 against 100 man days The participation women beneficiary per household was 0.45 against 0.97 men beneficiary per household. The maximum number of person days was worked out (67.50) per household in case of ST followed by SC category (63.37) person days per household. There was no variation in wage rate under NREGA activities across the gender in U.P. The wage rate was Rs. 100 per day for men as well as women under NREGA. Few beneficiaries had reported that there was unfair means practice had been adopted by Gram Panchayat in the payment of wages. The different activities like road connectivity, water conservation and harvesting, renovation of traditional water bodies etc. had been taken up under NREGA in U.P.

- 153 - The study also reveals that majority of beneficiary households were engaged under road connectivity, flood control minor irrigation water conservation and harvesting works. This pattern was more or less similar across the states. A majority of households i.e. 57 per cent reported that quality of assets generated under NREGA was good. However, unemployment allowance was not received by any sample households. The wage rate under NREGA was higher than wage rate of agricultural and non agricultural labour in most of the districts of the state. There was no variation in wages received by NREGA workers and it was Rs. 100 per day for both groups men and women across the state.

Qualitative Aspects of NREGA Functioning

The analysis reveals that values of assets owned by a non beneficiary household was Rs. 2,51,702 against Rs. 2,88,219 per beneficiary household. It shows that assets position of non beneficiary was sound and better. Among the assets value of land, house and live stock was quite higher than other assets on beneficiary and non-beneficiary households in the study areas of U.P.

It is also evident from the analysis of the study that the main source of borrowing was banks in both cases. The per household per annum of borrowing amount was Rs. 3050 in case of non beneficiary against Rs. 3585 in case of beneficiary household. The purposes of borrowing of loan from banks were to purchase of land, live stock etc. Apart from these, loans were also taken to meet out daily consumption need, social ceremony, construction of house etc. The Self Help Group (SHGs) were also source of institution to borrow the loan for other purposes. It is witnessed that the strength of borrowing households was higher who had accounts in the banks.

Quantitative Aspects Related to Food Security

Majority of respondents had not sufficient food grains to meet the consumption need of their family members throughout the year. The unemployment, inadequacy of work during the off season of agriculture were major problems of selected households. Most of the selected households had not sufficient physical and financial assets as per their requirement. The study also reveals that 12 per cent respondents were in view that

- 154 - amelioration of poverty would be possible to proper payment of wages, increase of work of NREGA and provision of food during the work. As far as response regarding the suggestion to improve the efficiency of NREGA, the 55 per cent of selected respondents was of the view that the increase of work, enhance the wage (40%) suitable timing of NREGA etc (11.00) would be fruitful to attract more work forces.

Impact of NREGA on village Economy

The infrastructural facilities of selected villages are more or less developed. The road connectivity, land line or mobile phone, agricultural produce, markets, primary school, gram panchayat office, Self Help Groups centre etc were hundred per cent available in the selected villages. The financial institutions and availability of primary hospitals were quite inadequate in members in the selected villages. Table-4 Infrastructure Available within the Village (% of villages) Particular Within village Nearest Distant village If nearest village, village or far off places average distance(Kms) Road connectivity 100 - - - Railway connectivity 20 - - 11.5 Landline or mobile connectivity 100 - - - Post Office 30 - - 3.6 Co-coperative credit society 30 - - 4.2 Regional Rural Bank 20 - - 7.8 Commercial Bank 10 - - 9.4 Agricultural Produce Market 100 - - - Self Help group Centre 100 - - - School Primary 100 - - - School Secondary 60 - - 2.1 School Higher Secondary 30 - - 5.3 Primary Health Centre 20 - - 6.5 Hospital/ Dispensary 10 - - 13.6 Gram Panchayat Office 100 - - - Fair Price Shop 50 - - 2.5 Any Other - - - -

The impact of NREGA on occupational structure was slightly visible on the beneficiary households of the selected villages. There was slight increase in the small-scale industries followed by trade and business activities in the households. The impact of NREGA on wage rate for different activities of agricultural and non-agricultural was quite impressive. The wage rate per day for work of agricultural operations was Rs. 37.50 and

- 155 - Rs. 29.00 in 2005, which has increased to Rs. 60 and Rs. 40 in 2009 for men and women respectively. The wage rate for non-agricultural activities has significantly increased in rural areas due to NREGA. After the implementation of NREGA, the agricultural labourers had shifted from agricultural works to non-agricultural works. This was causing the shortage of agricultural labours. The labour shortage in agriculture was estimated at about 70 per cent in the selected villages of the selected district due to implementation of NREGA.

On the account of increase in wage rate due to NREGA the cost of production of crops has increased by 20 to 40 per cent. The migration of labours has also stopped about 70 per cent after implementation of NREGA. The labours generally do not go outside from their villages to seek works since the implementation of NREGA. After implementation of NREGA, children of poor households are now going to school. The impact of NREGA on the socio-economic conditions of rural households was quite significant. As a result of this, the shape of villages and condition of target groups has changed from worst to better. This is landmark programme of Govt. of India to improve the socio-economic conditions of target groups of the village society. It only needs to proper implementation of NREGA activities at grass root level without adopting any foul means.

Policy Implications

The NREGA is one of the best programmes of Govt. of India to improve the quality of life of dispersed classes of the society of villages of Uttar Pradesh. The impact of NREGA is very positive from every corner for the improvement of socio-economic conditions of target groups of the society. The infrastructural facilities have improved in remote villages. The wage rate which was quite low in the villages has significantly improved. Migration of unskilled labours is more or less stopped. The income of households has considerably increased. The irrigation facilities have improved. These improvements have been attributed by NREGA. Even then, there are still some scope for improvement in policy of NREGA in the context U.P. which are suggested as follows.

10. There is a more need to strengthen Gram Panchayat bodies to proper execution of works under NREGA.

- 156 - 11. There should be full transparence in issuing the job cards. 12. Payment of wage should be made through banks at any cost to root-out the corruption in the payment of wages. 13. The payment of wage to labours should be made after proper monitoring of their allotted works. 14. The monitoring cell of NREGA should be more vigilant to make more transference in the different activities of NREGA. 15. The foul payment and wrong entry in job cards should be strictly prohibited to make the responsible to Gram Panchayat etc. 16. The payment for materials and wages should be done by single agency to avoid the delay of works. 17. Since majority of workers of NREGA are illiterate, therefore, banks should cooperate at the time of with-drawl of amount from their accounts. Sincere efforts should be made to reduce the delay in the payment of wages. The participation of female workers in the activities of NREGA is very less across the state, hence, the awareness should be propagated among the female workers to take more part in the activities of NREGA to increase their family income. 18. The activities of NREGA should be taken up in slack season of agriculture to avoid the shortage of labours in the agricultural operations. 10. The job cards should be available to each and every household who is willing to do the work under NREGA. 11. The technical staff should chalk-out the plan of NREGA in an advance to timely start of NREGA activities in villages. This would be also helpful in improving the quality of work. The priority of work should be fixed according to demand of villages. The wage rate of labourers has tremendously increased accordingly in the villages due to NREGA. On account of this, the cost of production of crops has also increased simultaneously. Therefore, the prices of commodities should also be increased to safeguard the interest of farmers. 12. The plantation of tress should also get proper attention in the activities of NREGA.

- 157 - 13. The job card holders should get life insurance coverage because some of the activities of NREGA are risky.

- 158 -