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  • Agricultural Statistics at a Glance 2015

  • Agricultural Statistics at a Glance 2015

    Government of IndiaMinistry of Agriculture & Farmers Welfare

    Department of Agriculture, Cooperation & Farmers WelfareDirectorate of Economics and Statistics

  • © Government of India PDES – 254 (E) Controller of Publication 700 -2016 – (DSK-III)

    Price: `695 /-

    Visit us at: www.agricoop.nic.in & http:// eands.dacnet.nic.in

  • v

  • vii

  • Officers associated with compilation and publication of Glance 2015

    Supervision

    Shri P. C. Bodh Adviser

    Shri J. P. Rai Research Officer

    Compilation & Computerization

    Shri Ashutosh Sharma Economic Officer

    Shri P.S. Gajria Assistant

    Shri Manish Yadav Junior Statistical Officer

    Smt. Sunita Virmani DEO (Gr.-A)

    Shri R.S. Pandey DEO (Gr.-A)

  • ix

    Contents

    Page No.Message vPreface viiAcronyms xxConversion Table xxiv1. Methodology of Crop Estimation 1

    2. Socio-Economic Indicators 9

    2.1 Selected Economic and Social Indicators 102.2 Population and Growth Rate, 2011 132.3(a) Population and Agricultural Workers 152.3(b) State-wise Classification of Workers 2011 162.3 (c) State-wise Classifications of Cultivators 2011 212.4 State-wise Percentage of Population Below Poverty

    Line 26

    2.5 Population and Labour Force Projection 282.6(a) Gross Value Added (GVA) by Economic Activity at

    basic prices (at 2011-12 Prices)29

    2.6(b) Gross Value Added (GVA) by Economic Activity at basic prices (at Current Prices)

    31

  • Agricultural Statistics at a glance 2015

    x

    2.6(c) Percentage Share of Gross Value Added (GVA) at 2011-12 Prices

    33

    2.6(d) Percentage Growth of Gross Value Added (GVA) at 2011-12 Prices

    34

    2.6(e) Gross Domestic Product (GDP) by Economic Activity at Constant Prices (2004-05 Series)

    35

    2.6(f ) Gross Domestic Product (GDP) by Economic Activity at Current Prices (2004-05 Series)

    37

    2.6(g) Percentage Share of GDP at 2004-05 Prices 392.6(h) Percentage Growth of GDP at 2004-05 Prices 402.7(a) Gross State Domestic Product from Agriculture and

    Allied Sector at Constant (2004-05) Prices41

    2.7(b) Gross State Domestic Product from Agriculture (including Livestock) for 2014-15 (at 2004-05 Prices)

    43

    2.8 Share of Agriculture & Allied Sector in Gross State Domestic Product at Current Prices (2004-05 Series)

    45

    3. Outlays, Expenditure and Capital Formation in Agriculture 47

    3.1 Share of Public Sector Outlays and Expenditure under Agriculture and Allied Activities

    48

    3.2 Public Sector Outlays / Expenditure 503.3 Disaggregated Public Sector Outlays / Expenditure

    under Agriculture and Allied Activities 52

    3.4(a) Budget Estimate, Revised Estimate and Actual Expenditure of Department of Agriculture, Cooperation and Farmers Welfare

    54

    3.4(b) Budget Estimate, Revised Estimate and Actual Expenditure of Department of Animal Husbandry, Dairying and Fisheries

    55

    3.4(c) Budget Estimate, Revised Estimate and Actual Expenditure of Department of Agricultural Research and Education

    56

    3.5(a) Scheme-wise Budget Estimate and Expenditure (Department of Agriculture, Cooperation and Farmers Welfare)

    57

    3.5(b) Scheme-wise Budget Estimate and Expenditure (Department of Animal Husbandry and Fisheries)

    59

  • Contents

    xi

    3.6(a) Gross Capital Formation in Agriculture & Allied Sector (at current prices, 2004-05 series)

    61

    3.6(b) Gross Capital Formation in Agriculture & Allied Sector (at current prices, 2011-12 series)

    62

    3.6(c) Gross Capital Formation in Agriculture & Allied Sector (at constant prices, 2004-05)

    63

    3.6(d) Gross Capital Formation in Agriculture & Allied Sector (at constant prices, 2011-12)

    64

    3.7(a) Public and Private Investment in Agriculture and Allied Sectors in Total GDP at Market Prices (2004-2005 prices)

    65

    3.7(b) Public and Private Investment in Agriculture and Allied Sectors in Total GDP at Market Prices (2011-12 prices)

    66

    3.8(a) Share(%) of GCF to GDP in Agriculture and Allied Sectors

    67

    3.8(b) Share(%) of GCF to GVA in Agriculture and Allied Sectors

    68

    4 Area, Production and Yield of Principal Crops 69

    4(A) Area, Production and Yield alongwith coverage under Irrigation

    69

    4.1(a) Target and Achievement of Production of Major Crops during Tenth Five Year Plan

    70

    4.1(b) Target and Achievement of Production of Major Crops during Eleventh and Twelfth Five Year Plans

    71

    4.2 Three Largest Producing States of Important Crops 724.3 Normal Estimates (average of 2007-08 - 2011-12)

    Area, Production and Yield of Major Crops in India 74

    4.4 Season-wise Area, Production and Yield of Food grains 76

    4.5(a) Foodgrains - All India 794.5(b) Foodgrains - Major States 814.6(a) Rice - All India 834.6(b) Rice - Major States 854.7(a) Wheat - All India 864.7(b) Wheat - Major States 88

  • Agricultural Statistics at a glance 2015

    xii

    4.8(a) Coarse Cereals - All India 894.8(b) Coarce Cereals - Major States 914.9(a) Jowar - All India 934.9(b) Jowa - Major States 954.10(a) Bajra - All India 964.10(b) Bajra - Major States 984.11(a) Maize - All India 994.11(b) Maize - Major States 1014.12(a) Total Pulses - All India 1024.12(b) Total Pulses - Major States 1044.13(a) Gram - All India 1054.13(b) Gram - Major States 1074.14(a) Tur (Arhar) - All India 1084.14(b) Tur (Arhar) - Major States 1104.15(a) Lentil (Masur) - All India 1114.15(b) Lentil (Masur) - Major States 1134.16(a) Nine Oilseeds - All India 1144.16(b) Nine Oilseeds - Major States 1164.17(a) Groundnut - All India 1174.17(b) Groundnut - Major States 1194.18(a) Rapeseed & Mustard - All India 1204.18(b) Rapeseed & Mustard - Major States 1224.19(a) Soya Bean - All India 1234.19(b) Soya Bean - Major States 1254.20(a) Sunflower - All India 1264.20(b) Sunflower - Major States 1284.21(a) Cotton - All India 1294.21(b) Cotton - Major States 1314.22(a) Jute & Mesta - All India 1324.22(b) Jute & Mesta - Major States 1344.23(a) Sugarcane - All India 1354.23(b) Sugarcane - Major States 1374.24(a) Tobacco - All India 138

  • Contents

    xiii

    4.24(b) Tobacco - Major States 1404.25 All-India Area, Production and Yield of Guarseed and

    Sunhemp141

    4.26 Production of Oilseeds/Oils and Net Domestic Availability of Edible Oils

    142

    4.27 State wise Quantity of Crude Palm Oil (CPO) under Oil Palm Development Programme (OPDP)

    144

    4.28(a) State-wise Production of Oil Palm Fresh Fruit Bunches under Oil Palm Development Programme (OPDP)

    145

    4.28(b) Target and Achievement of Area under Oil Palm Development Programme (OPDP) of ISOPOM

    146

    4.28(c) Area Covered Under Oil Palm Development Programme

    147

    4 (B) Yield Rates of Principal Crops 148

    4.1.1 All India Estimate of yield of Major Crops 149

    State-wise yield

    4.1.2 Kharif Foodgrains 1514.1.3 Rabi Foodgrains 1534.1.4 Total Foodgrains 1554.1.5 Rice 1574.1.6 Wheat 1624.1.7 Bajra 1644.1.8 Maize 1654.1.9 Total Pulses 1684.1.10 Gram 1704.1.11 Tur 1724.1.12 Total Oilseeds 1744.1.13 Kharif Oilseeds 1764.1.14 Rabi Oilseeds 1784.1.15 Groundnut 1804.1.16 Rapeseed & Mustard 1824.1.17 Linseed 1844.1.18 Safflower 1854.1.19 Sunflower 186

  • Agricultural Statistics at a glance 2015

    xiv

    4.1.20 Soybean 188

    4 (C) Area and Yield of Cereal Crops covered under Crop Estimation Survey (CES)

    189

    Area under High Yielding Varieties in Major States

    4.2.1 Rice 1904.2.2 Jowar 1924.2.3 Bajra 1934.2.4 Maize 1944.2.5 Wheat 196Yield of Local Varieties in Major States

    4.2.6 Rice 1974.2.7 Jowar 2004.2.8 Bajra 2014.2.9 Maize 2024.2.10 Wheat 204

    Yield of High Yielding Varieties in Major States

    4.2.11 Rice 2054.2.12 Jowar 2084.2.13 Bajra 2094.2.14 Maize 2104.2.15 Wheat 2125. Area, Production and Yield of Horticulture & Plantation

    Crops213

    5.1 Area and Production of Horticulture Crops 2145.2 State wise Area, Production of various Horticultural

    Crops218

    5.3(a) Potato – All India 2205.3(b) Potato – Major States 2225.4(a) Onion – All India 2235.4(b) Onion – Major States 2245.5(a) Coconut – All India 2255.5(b) Coconut – Major States 2265.6(a) Cashewnut – All India 2275.6(b) Cashewnut – Major States 2285.7 Arecanut and Banana – All India 229

  • Contents

    xv

    5.8 Garlic and Ginger – All India 2305.9 Sweet Potato and Tapioca – All India 2315.10 Turmeric, Chilies and Coriander - All India 2325.11 Cardamom and Pepper – All India. 2346. All India Index Numbers of Area, Production, Yield and

    Terms of Trade235

    6.1 All India Index Numbers of Area of Principal Crops 2366.2 All India Index Numbers of Production of Principal

    Crops 239

    6.3 All India Index Numbers of Yield of Principal Crops 2426.4(a) Terms of Trade between Farmers and Non-Farmers 2456.4(b) Terms of Trade between Agriculture and Non-

    Agricultural sectors246

    7. Area, Production and Yield of Major Crops in Different Countries

    247

    7.1 Area, Production and Yield of Principal Crops in various countries during 2013

    248

    7.2 India’s Position in World Agriculture during 2013 250

    8. Minimum Support Prices/ Marketed Surplus Ratios 252

    8.1 Minimum Support Prices of Various Agriculture Commodities.

    253

    8.2 Central Issue Prices of Rice, Wheat and Coarse Grains 2558.3 Cost Estimates of Principal Crops-2012-13 2568.4 Marketed Surplus Ratio (MSR) of Important

    Agricultural Commodities in various States261

    9. Procurement by Public Agencies 267

    9.1(a) State-wise Procurement of Rice and Wheat in Major Producing States

    268

    9.1(b) State-wise Procurement of Coarse Grains in Major Producing States

    270

    9.2(a) State wise Cotton Purchases by Cotton Corporation of India

    271

    9.2(b) Procurement of Cotton by NAFED 2729.3 State-wise Purchases of Raw Jute 2739.4 Procurement of Oilseeds by NAFED under Price

    Support Scheme (PSS)274

  • Agricultural Statistics at a glance 2015

    xvi

    9.5 Procurement of Onion by NAFED under Market Intervention Scheme

    276

    10. Per Capita Net Availability 277

    10.1 Per Capita Net Availability of Food grains (Per Annum) in India

    278

    10.2 Per Capita Net Availability of Food grains (Per Day) in India

    280

    10.3 Per Capita Availability of Certain Important Articles of Consumption

    282

    10.4(a) Trends in percentage composition of consumer expenditure since 1993-94

    284

    10.4(b) Per capita Consumption of Different Commodities 28511. Stock, Consumption and Storage Capacity 287

    11.1(a) Stock of Foodgrains in the Central Pool 28811.1(b) Existing Buffer Stock Norms for Foodgrains 28911.2 Consumption and Stocks of Raw Jute 29011.3(a) State-wise Storage capacity 29111.3(b) State-wise Cold Storage capacity 29211.3(c) State-wise Storage capacity sanctioned under

    Infrastructure Scheme for Agricultural Marketing (ISAM)293

    12. Imports/ Exports/ Inflation Rates 295

    12.1 India’s Imports and Exports of Agricultural Commodities

    296

    12.2 India’s Imports of Agricultural Products 29712.3 India’s Exports of Agricultural Products 30312.4 Tariffs and Bound Rates on Major Agricultural

    Commodities/Groups309

    12.5(a) Trends in Wholesale Price Index of Food grains 31212.5(b) Growth Rates of Wholesales price Index of Food grains 31312.6(a) Trends in Wholesale Price Index of Commercial Crops 31412.6(b) Growth rate of Wholesale Price Index of Commercial

    Crops316

    13. Land Use Statistics 318

    13.1 Agricultural Land by Use in India 31913.2 Selected Categories of Land Use 32313.3 Gross Cropped Area Percentage Distribution 325

  • Contents

    xvii

    13.4 State-wise Percent coverage of Irrigated Area under Principal Crops during 2012-13

    326

    13.5 Agricultural Land by Type of Use 33013.6 Potential Created under Accelerated Irrigation Benefit

    Programme (AIBP)338

    13.7 State-wise Area covered under Micro Irrigation 340

    14. Inputs 341

    14.1 Production and Use of Agricultural Inputs in India 34214.2 All-India Consumption of Fertilizers in Terms of

    Nutrients (N, P & K)344

    14.3 Consumption, Production and Import of Fertilizers 34514.4(a) State-wise Consumption of Fertilizers 34714.4(b) State-wise Estimated Consumption of Fertilizer per

    Hectare349

    14.5(a) Fertilizer Consumption per Hectare of Agricultural Land in selected Countries]

    351

    14.5(b) Fertilizer Consumption of Arable Land & Land under permanent Crops in selected Countries

    353

    14.6(a) Application of Fertilizers on Paddy and Wheat in India 35514.6(b) Status of Soil Health Card Scheme 35714.7(a) Crop-wise Requirement and Availability of Certified/

    Quality Seeds358

    14.7(b) Crop-wise Distribution of Certified/ Quality Seeds 36014.7(c) Crop-wise Requirement and Availability of Certified/

    Quality of Hybrid Seeds362

    14.8(a) Consumption of Electricity for Agricultural Purposes 36314.8(b) State-wise Consumption of Electricity for Agriculture

    purpose 364

    14.9(a) Flow of Institutional Credit to Agriculture Sector 36514.9(b) State-wise Agriculture loan disbursed during 2014-15 36614.10 State-wise and Agency-wise Kisan Credit Cards

    (KCCs) Issued and Amount outstanding368

    14.11(a) State-wise National Agricultural Insurance Scheme (NAIS)

    370

    14.11(b) Season- wise National Agricultural Insurance Scheme (NAIS) 37214.12(a) State-wise Weather Based Crop Insurance Scheme

    (WBCIS) 375

  • Agricultural Statistics at a glance 2015

    xviii

    14.12(b) Season- wise Weather Based Crop Insurance Scheme (WBCIS)

    376

    14.13(a) State-wise Modified National Agricultural Insurance Scheme (MNAIS)

    378

    14.13(b) Season- wise Pilot Modified National Agricultural Insurance Scheme (MNAIS)

    379

    14.14 Pilot Coconut Palm Insurance Scheme (CPIS) 38014.15(a) State-wise crop area insured under all Insurance

    Schemes381

    14.15(b) Crop-wise crop area insured under all Insurance Schemes

    383

    14.16(a) Year-wise sale of Tractors and Power Tillers 38414.16(b) State-wise sale of Tractors during 2014-15 384

    15. Agricultural Census (2010-11) 385

    15.1 Number and Area of Operational Holdings by Size Group

    386

    15.2(a) Number of Operational Holdings by Size Group 38715.2(b) Area of Operational Holdings by Size Group 38915.3 Average Size of Holdings by Size Group 39115.4 Estimated Number of Operational Holdings by Size

    Classes and Irrigation Status392

    15.5 Area Irrigated by different Source of Irrigation by Size Classes

    393

    15.6 Irrigated and Un-irrigated Area by Size Classes under different Crops Input Survey(2006-07)

    394

    15.7 Usage of Chemical Fertilizers, Farm Yard Manure and Pesticides by major Size Group

    395

    15.8 Estimates of Institutional Credit taken for Agricultural purposes by Size Groups

    397

    15.9 Total Institutional Credit taken for Agriculture purposes by Size Groups

    399

    16. Situation of Agricultural Households in India 400

    16.1 Estimated Number of Rural Households, Agricultural Households and Indebted Agricultural Households

    401

    16.2 Indebtedness of Agricultural Households (all-India) in different Size Classes of Land Possessed

    403

    16.3 Incidence of Indebtedness in Major States 404

  • Contents

    xix

    16.4 Incidence of Indebtedness based on size of land possessed

    405

    17. Ceiling on Land Holdings and Wages for Agricultural Workers

    406

    17.1 Ceilings on Land Holdings 40717.2 Minimum Rates of Wages for Farm Workers fixed by

    States/UTs408

    18. Livestock 410

    18.1 Livestock Population in India 41118.2 All India Production of Milk, Eggs and Wool 41218.3 State-wise production of Milk, Eggs, Meat and Wool 41319. Fish Production 417

    19.1 Fish Production in India 41819.2 State-wise Production of Fish 419

    20. Rainfall Scenario and Management of Natural Disasters 421

    20.1 Annual Rainfall Scenario during 2014 and 2015 42220.2 Performance of South West Monsoon 42420.3 All India Rainfall Distribution from 1992-93 to 2014-15 42520.4 Broad region wise Rainfall Distribution from 2005 to

    2013426

    20.5 Rainfall in 2015 42720.6 Brief History of Most Intense Cyclones from 1970 to

    2013429

    21. Conversion Factors between Important Primary and Secondary Agricultural Commodities

    437

    22. List of Studies Conducted by Agro-Economic Research Centres

    440

    Appendices 450I Explanatory Notes 451II Methodology on Index Numbers 453III Glossary of English, Botanical and Hindi Names of

    Important Crops455

    IV Crop Calendar of Major Crops 458V Harvesting Season of Major Fruits 474Vl Harvesting Season of Major Vegetables 476Vll Seed Rate of Sowing for Important Field Crops 478

  • Agricultural Statistics at a glance 2015

    xx

    AcronymsA&N Andaman & Nicobar IslandAAY Antyodaya Anna YojanaAE Advance EstimateAGDP Gross Domestic Product from AgricultureAnt. AnticipatedAPL Above Poverty LineBE Budget EstimatesBPL Below Poverty LineCACP Commission for Agricultural Costs and PricesCBB Commercial Bank BranchCCE Crop Cutting ExperimentsCCI Cotton Corporation of IndiaCD Community DevelopmentCDSBO Crude Degumed Soyabean OilCES Crop Estimation SurveysCFA Central Financial AgencyCIF Cost, Insurance & FreightCIP Central Issue PriceCPI-IW Consumer Price Index for Industrial WorkersCSO Central Statistics Office

  • xxi

    Acronyms

    CWWG Crop Weather Watch GroupDAC&FW Department of Agriculture, Cooperation & Farmers WelfareDAHDF Department of Animal Husbandry Dariying and FisheriesDAP Di Ammonium Phosphate DES Directorate of Economics and StatisticsE EstimatedEARAS Establishment of an Agency for Reporting of Agricultural

    StatisticsFAO Food and Agriculture Organisation of United NationsFAQ Fair Average QualityF2 Black SoilF-414/H-777/J-34 Cotton variety (of Medium Staple Length)H-4/H-6 Cotton variety (of Long Staple Length)FCI Food Corporation of IndiaFDI Foreign Direct InvestmentFFB Fresh Fruit BunchFOD Field Operations Division of NSSOFRL Full Reservoir LevelFYM Farm Yard Manure GCA Gross Cropped AreaGCES General Crop Estimation SurveyGCF Gross Capital FormationGDP Gross Domestic ProductGNP Gross National ProductGSDP Gross State Domestic ProductGVA Gross Value AddedHa HectaresHYV High Yielding VarietiesI Irrigated IAS Improvement of Agricultural StatisticsICOR Incremental Capital Output RatioICS Improvement of Crop StatisticsISOPOM Integrated Scheme of Oilseeds, Pulses, Oilpalm and MaizeK PotashKgs KilogramsKMPH Kilometers Per HourKWH Kilo Watt Hour

  • Agricultural Statistics at a glance 2015

    xxii

    LS Light SoilLPCPD Litres Per Capita Per DayMSCCGMF Maharashtra State Co-operative Cotton Growers

    Marketing FederationMIS Market Intervention SchemeMSP Minimum Support PriceMSR Marketed Surplus RatioN NitrogenNA Not Available/Not Announced NC Not CollectedNQ Not QuotedNAFED National Agricultural Co-operative Marketing Federation

    of India LimitedNCAER National Council of Applied Economic ResearchNDDB National Dairy Development BoardNeg. NegligibleNMOOP National Mission on Oilseed & OilpalmNNP Net National ProductNR Not Recommended/Not Reported NSA Net Sown AreaNSSO National Sample Survey OfficeOECD Organisation of Economic Cooperation and DevelopmentOPDP Oil Palm Development ProgrammeP Provisional/Phosphate PACS Primary Agricultural Credit SocietyPd. Per dayPDS Public Distribution SystemPLDB Primary Land Development BankPSE Producers Support EstimatePSEs Public Sector EnterprisesPSS Price Support SchemeQE Quick EstimateR RevisedR&D Research & DevelopmentR&M Rapeseed & MustardRMC Regional Ministers ConferenceRE Revised Estimates

  • xxiii

    Acronyms

    RRBB Regional Rural Bank BranchSCB State Cooperative BankSDP State Domestic ProductSASA State Agricultural Statistical AuthoritySHC Soil Health CardSLDB State Land Development BankSRS Sample Registration SchemeSSP Single Super Phosphate T TargetT E Triennium EndingTD-5 A Variety of JuteTPDS Targeted Public Distribution SystemTRQ Tariff Rate QuotaTRMM Tropical Rains Measuring MissionTT Tentative TargetsU K United KingdomUSA United States of AmericaUI Un-irrigatedUT Union TerritoryWPI Wholesale Price IndexWTO World Trade OrganisationY Yield (Index Number of Yield) per hectare

  • xxiv

    Conversion Table

    Length 1 kilometre (km) = 1000 metres (m) 1 km = 0.6214 miles1 m = 1.0936 yards1 m = 3.2808 feet 1 mile = 1760 yards1 mile = 1.609 km1 yard = 0.9144 m1 foot = 0.3048 m

    Area1 km2 = 100 hectares (ha)1 km2 = 0.3861 square mile

    1 km2 = 247.105 acres1 m2 = 10.7639 square feet1 ha = 10,000 m2

    1 ha = 2.4711 acres

  • xxv

    Conversion Table

    1 square mile = 2.59 1 km2

    1 acre = 0.4047 ha1 acre = 4046.86 m2

    1 acre = 4840 square yard 1 square yard = 9 square feet1 square yard = 0.8361 m2

    1 square foot = 0.0929 m2

    Weight1 tonne = 1000 kg1 tonne = 1.1023 US ton1 US ton = 0.9072 tonnes1 hg = 100 gram1 kg = 2.2046 pounds (Ib)1 kg = 35.274 ounce (oz)1 lb = 0.4536 kg1 oz = 28.3495 gram

    Units1 crore = 10 million1 million = 10 lakh1 lakh = 1000001 billion = 1000 million

  • 1

    Methodology of Crop Estimation

    1.1 Introduction

    The Directorate of Economics and Statistics (DES) releases estimates of area, production and yield in respect of principal crops of food grains, oilseeds, sugarcane, fibers and important commercial and horticulture crops. These crops together account for nearly 80% of agriculture output. The estimates of crop production are obtained by multiplication of area estimates by corresponding yield estimates. The estimates of area and yield rates assume prime importance in the entire gamut of agricultural statistics.

    1.2 Area StatisticsFrom the point of view of collection of area statistics, the States in the country are divided into three broad categories.The first category covers States and UTs which are cadastrally surveyed and the area and land use statistics are built up as a part of the land records maintained by the revenue agencies, these States are called “Land Record States” or temporarily settled states. This system is followed in 17 major states of Andhra Pradesh, Assam (excluding hilly districts), Bihar, Chhattisgarh, Gujarat, Haryana, Himachal Pradesh, Jammu & Kashmir, Jharkhand, Karnataka, Madhya Pradesh, Maharashtra, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and Uttarakhand and 4 UTs of Chandigarh, Delhi, Dadra & Nagar Haveli and Puducherry. These States/

  • 2 Agricultural Statistics at a glance 2015

    UTs account for about 86% of reporting area and are covered under Timely Reporting Scheme (TRS) under which 20% villages are selected at random for complete area enumeration.

    The second category includes those States where area statistics are collected on the basis of sample surveys conducted under the scheme of Establishment of an Agency for Reporting of Agricultural Statistics (EARAS). This scheme was introduced in Kerala, Odisha and West Bengal, and later extended to Arunachal Pradesh, Nagaland, Sikkim and Tripura. The scheme envisages, inter-alia, estimation of area through sample surveys in a sufficiently large sample of 20% villages/ investigator zones. These states account for about 9% of reporting area.

    The third category covers the hilly districts of Assam, the rest of North-Eastern states (other than Arunachal Pradesh, Nagaland, Tripura and Sikkim), Goa, UTs of Andaman & Nicobar Islands, Daman & Diu and Lakshwadeep where no reporting agency had been functioning. In this category of states, work of collection of Agricultural Statistics is entrusted with the village headmen. The area statistics in these states are based on impressionistic approach. These areas/states account for 5% of the reporting area.

    1.3 Yield EstimatesThe second most important component of production statistics is yield rates. The yield estimates of major crops are obtained through analysis of Crop Cutting Experiments (CCE) conducted under scientifically designed General Crop Estimation Surveys (GCES). At present over 95% of the production of foodgrains is estimated on the basis of yield rates obtained from the CCEs. Field Operations Divisions (FOD) of the National Sample Survey Organization (NSSO) has been providing technical guidance to the States and Union territories for organizing and conducting Crop Estimation Surveys for estimating yield rates of principal crops. In addition, NSSO in collaboration with States/Union Territories implements sample check programmes on area enumeration work, area aggregation and conduct of crop cutting experiments under the Scheme for Improvement of Crop Statistics (ICS). While executing the programme of sample checks on crop cutting experiments, the FOD associates itself with the operational aspects of the conduct of crop cutting experiments right from selection of sample villages, training of field staff to the supervision of field work, and in the process gathers micro level information relating to conduct of crop cutting experiments for estimation of crop yield. The results of Crop Estimation Surveys are analyzed and annual publication entitled “Consolidated Results of Crop Estimation Surveys on Principal Crops” is brought out by the NSSO regularly.

    The primary objective of GCES is to obtain fairly reliable estimates of average yield of principal food and non-food crops for States and UTs which

  • Methodology of Crop Estimation 3

    are important from the point of view of crop production. The estimates of yield rates thus arrived at are generally adopted for the purposes of planning, policy formulation and implementation. The CCEs consist of identification and marking of experimental plots of a specified size and shape in a selected field on the principle of random sampling, harvesting and threshing the produce and recording of the harvested produce for determining the percentage recovery of dry grains or the marketable form of the produce.

    1.4 CoverageThe crop-wise details of number of experiments planned under GCES during 2011-12 are given in Table 1.1

    Table1.1 Experiments Planned under GCES during 2011-12

    Crop Type/CropNo. of experiments Planned

    Kharif Rabi Total1. Food CropsPaddy 187194 31790 218984Wheat - 171952 171952Jowar 22986 15098 38084Bajra 34512 864 35376Maize 44288 3592 47880Ragi 10168 1334 11502Barley - 6546 6546Gram - 37527 37527Sugarcane* 28813 355 29168Other Crops 110244 59581 169825Total 438205 328639 7668442. Non-Food Crops Groundnut 21831 6919 28750Sesamum 18445 3422 21867Castor 2620 - 2620Rape & Mustard - 41068 41068Linseed - 4601 4601Cotton 19518 - 19518Jute 3247 - 3247Mesta 886 - 886Other Crops 20566 16650 37216Total 87113 72660 159773Total (1+2) 525318 401299 926617Grand Total 926617

    Source: AS Wing, NSSO (FOD), Faridabad* 355 experiments of Sugarcane are of Rabi season in West Bengal.

  • 4 Agricultural Statistics at a glance 2015

    1.5 Sampling Design Stratified multi-stage random sampling design is generally adopted for carrying out GCES with tehsils/ taluks/ revenue inspector circles/ CD blocks/anchals, etc., as strata, revenue villages within a stratum as first stage unit of sampling, survey numbers/fields within each selected village as sampling unit at the second stage and experimental plot of a specified shape and size as the ultimate unit of sampling as depicted in figure 1.1

    Tehsil / Taluk↓

    Revenue Village↓

    Survey Number / Field↓

    Experimental Plot(Specified size / shape)

    Figure 1.1: Sampling Design for GCES

    In each selected primary unit, generally 2 survey numbers/fields growing the experimental crop are selected for conducting CCE. Generally, 80-120 experiments are selected in a major crop growing district, where a district is considered as major for a given crop if the area under the crop in the district exceeds 80,000 hectares or lies between 40,000 and 80,000 hectares but exceeds the average area per district in the State. Otherwise, the district is considered as minor for a given crop. Experiments in minor districts are so adjusted that the precision of the estimates is fairly high and the workload on the field staff is manageable. On an average, about 44 or 46 experiments are planned in a minor district. The number of experiments allotted to a district is distributed among the strata within the district roughly in proportion to the area under the crop in the stratum.

    1.6 Advance Estimates of Area and ProductionThe period of an agricultural crop year is from July to June, during which various farm operations from preparation of seed bed, nursery, sowing, transplanting various inter-culture operations, harvesting, threshing etc. are carried out. Different crops are grown during the agricultural seasons in a crop year.

    Final estimates of production based on complete enumeration of area and yield through crop cutting experiments become available much after the crops are actually harvested. However, the Government requires advance

  • Methodology of Crop Estimation 5

    estimates of production for taking various policy decisions relating to pricing, marketing, export/import, distribution, etc. Considering the genuine requirement of crop estimates much before the crops are harvested for various policy purposes, a time schedule of releasing the advance estimates has been evolved. These estimates of crops are prepared and released at four points of time during a year as enumerated below.

    1.7 First Advance Estimates

    The first advance estimates of area and production of kharif crops are prepared in September every year, when south-west monsoon season is about to be over and kharif crops are at an advanced stage of maturity. This coincides with the holding of the National Conference of Agriculture for Rabi Campaign, where the State Governments give rough assessment of their respective kharif crops. The assessment is made by the State Governments based on the reports from the field offices of the State Department of Agriculture. They are mainly guided by visual observations. These are validated on the basis of inputs from the proceedings of Crop Weather Watch Group (CWWG) meetings, and other feedback such as relevant availability of water in major reservoirs, availability/supply of important inputs including credit to farmers, rainfall, temperature, irrigation etc.

    1.8 Second Advance EstimatesThe second advance estimates are made in the month of January every year when the advance estimates of kharif crops prepared during the National Conference of Agriculture for Rabi Campaign may undergo a revision in the light of flow of more precise information from the State Governments. Around this time, the first advance estimates of rabi crops are also prepared. The Second Advance Estimates then cover the second assessment in respect of Kharif Crops and the first assessment in respect of Rabi Crops.

    1.9 Third Advance Estimates

    The third advance estimates are prepared towards the end of March/ beginning of April every year, when the National Conference on Agriculture for Kharif campaign is convened and the State Governments come up with their assessments for both kharif and rabi crops. The earlier advance estimates of both kharif and rabi seasons are firmed up/ validated with the information available with State Agricultural Statistical Authorities(SASAs), remote sensing data, available with Space Application Centre, Ahmedabad as well as the proceedings of CWWG.

  • 6 Agricultural Statistics at a glance 2015

    1.10 Fourth Advance Estimates

    The fourth advance estimates are prepared in the month of June/July every year, when the National Workshop on Improvement of Agricultural Statistics is held. Since most of the rabi crops get harvested by the end of May, SASAs are in a position to supply the estimates of both kharif and rabi seasons as well as likely assessment of summer crops during the National Workshop. Like the third advance estimates, the fourth advance estimates are duly validated with the information available from other sources.

    1.11 Final Estimates

    Under the existing system of crop estimation, the fourth advance estimates are followed by final estimates in December / January of the following agricultural year. The main factors contributing to the relatively large number of crop estimates are the large variations in crop seasons across the country and the resulting delay in the compilation of yield estimates based on crop cutting experiments. As agriculture is a State subject, Central Government depends upon State Governments for accuracy of these estimates. For this purpose, State Governments have setup High Level Coordination Committees (HLCC) comprising, inter-alia, senior officers from the Departments of Agriculture, Economics & Statistics, Land Records and NSSO (FOD), IASRI, DES from Central Government for sorting out problems in preparation of these estimates in a timely and orderly manner.

    1.12 Forecasting Agricultural output using Space, Agro-meteorology and Land based observations (FASAL)

    About the Scheme:

    The FASAL scheme was approved as a central sector plan scheme of Directorate of Economics & Statistics, Department of Agriculture, Cooperation and Farmaers Welfare (DAC&FW) and is in operation since Aug. 2006. The scope of work of the FASAL scheme involved developing Econometric, Agromet and Remote Sensing based model to generate crop forecasts at National, State and District level. Multiple forecast of 11 major crops namely Rice (Kharif & Rabi), Jowar (Kharif & Rabi), Maize, Bajra, Jute, Ragi, Cotton, Sugarcane, Groundnut (Kharif & Rabi), Rapeseed & Mustard and Wheat were envisaged at National/State/District level depending on the status of technology available.

    In order to give further impetus to use Remote Sensing (RS) in Agriculture, implementation strategy of the FASAL scheme was revised in March, 2011.

  • Methodology of Crop Estimation 7

    The revised strategy inter-alia envisaged transfer of existing operational crop forecast and drought assessment Remote Sensing methodologies developed by Indian Space Research Organization (ISRO) to a new centre to be created in the DAC&FW itself allowing ISRO to focus on R&D on the RS methodology for remaining crops and fine tuning of the existing RS methodologies on crop and drought assessment. In pursuance of the decisions contained in the approved SFC Memo of the FASAL scheme, a new centre, Mahalanobis National Crop Forecast Centre (MNCFC) has commenced operationalizing the Remote Sensing methodology transferred from ISRO. The main objective of the Centre is to prepare multiple-in-season crop forecast and assessment of drought situation using state of the art techniques and methodologies for selected major crops.

    Physical Performance:

    National / State level forecasts of area and production based on RS methodology and Econometric models are being received in each season, for selected crops. Forecasts based on agromet models are being received at State/District level. These forecasts are utilized for validation of advance estimates released by DES / DAC&FW.

    Reporting of Financial and Physical Progress:

    The funds are released to the implementing agencies viz (i) Space Application Centre, Ahmedabad (for developing / fine tuning of RS methodology), (ii) India Meteorological Department, Delhi (Agromet component) and (iii) Institute of Economic Growth (Econometric models) in 2 installments every year. The physical and financial progress is received from each of the implementing agencies after release of each installment.

    In April, 2012 a new Centre, called Mahalanobis National Crop Forecast Centre was inaugurated as an attached office of DAC&FW. The Centre is carrying out the operational component of the FASAL programme, i.e. pre-harvest multiple production forecasts of major crops at National/State/District level. MNCFC is also carrying out periodic district/sub-district level drought assessment for 14 major agricultural states of the country.

    The major initiatives under MNCFC include

    1. Pre-harvest Crop production forecasting for 8 crops at National-State-District level under FASAL project (3 crops included in last 2 years)

    2. Monthly/ Fortnightly Agricultural Drought Assessment at district/sub-district level for 14 states of India under NADAMS programme

  • 8 Agricultural Statistics at a glance 2015

    3. Implementation of Smartphone based ground truth collection (>10000 points in 3 seasons)

    4. Spectral yield modeling for Rice, Wheat and Rapeseed & Mustard5. Developing collaborations with 19 state agriculture departments and 14

    State Remote Sensing Centres6. Operationalization of FASALSoft and NAS software developed by

    ISRO7. Operational use of Indian Microwave Satellite RISAT data for Rice and

    Jute Assessment8. Supervised Crop Cutting Experiments (844) using Remote Sensing

    based plan and Smartphone 9. Post-Phailin Rice Inundation Area Assessment10. Rabi Crop Emergence Progress and Crop Alert District Assessment

  • 2

    Socio-Economic Indicators

  • 10 Agricultural Statistics at a glance 2015

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  • Socio-Economic Indicators 11

    tabl

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    Tabl

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  • 12 Agricultural Statistics at a glance 2015

    Tabl

    e: 2

    .1 (C

    ontd

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    Sour

    ce: M

    inist

    ry o

    f Fi

    nanc

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    New

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    prio

    r to

    2011

    -12

    are

    base

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    serie

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    stim

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    from

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    vaila

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    at b

    asic

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    es o

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    b:TheIndexofIndustrialProductionhasbeenrevisedsince2005-06onbase2004-05=100.Thefiguresfrom2009-10onwardsarebasedoncurrentseries(2004-05=100)

    and

    earli

    er d

    ata

    are

    base

    d on

    old

    bas

    e ye

    ars.

    c:Thefiguresfrom2009-10arebasedoncurrentseries2004-05=100andearlierdataarebasedonoldbaseyears.

    d:Thefiguresfrom2009-10arebasedoncurrentseries2001=100andearlierdataarebasedonoldbaseyears.

    e: 4

    th A

    dvan

    ce E

    stim

    ates

    .f:

    Figu

    res a

    re fo

    r Apr

    il-D

    ecem

    ber 2

    014-

    15.

    g:O

    utlaysareonlyoftheCentreasO

    utlaysofStateplansarenotyetfinalised.

    h: R

    evise

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    r 201

    4-15

    .i:

    As o

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    arch

    .j:Relatestomid-financialyear(asonOctober1)basedonpopulationfiguresofC.S.O.

    k:Forcalendaryear.Figureshownagainst1990-91isforcalendaryear1991andsoon.Source:OfficeofR.G.I.

    l D

    ata

    for 1

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    51, 1

    960-

    61, 1

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    71 a

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    81 re

    late

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    s 194

    1-50

    , 195

    1-60

    , 196

    1-70

    and

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    resp

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    m:EstimatesfromSampleRegistrationSystemandSRSStatisticalReport,OfficeofRG

    I.n:

    Abr

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    able

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    , Reg

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    of

    Indi

    ao:Datafor1950-51,1960-61,1970-71,1980-81,1990-91and2000-01areasperCensusofIndia1951,1961,1971,1981,1991and2001.Thefiguresfor19511961and1971

    rela

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    pop

    ulat

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    aged

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    and

    abo

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    xclu

    de A

    ssam

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    981

    and

    J&K

    for 1

    991.

  • Socio-Economic Indicators 13

    Sl.

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    1,87

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    6,86

    4,60

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    12.9

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    39,4

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    4,78

    71,

    055,

    450

    40.2

    817

    .19

    5U

    ttara

    khan

    d5,

    137,

    773

    4,94

    8,51

    910

    ,086

    ,292

    20.4

    118

    .81

    6H

    arya

    na13

    ,494

    ,734

    11,8

    56,7

    2825

    ,351

    ,462

    28.4

    319

    .90

    7D

    elhi

    8,

    987,

    326

    7,80

    0,61

    516

    ,787

    ,941

    47.0

    221

    .21

    8Ra

    jast

    han

    35,5

    50,9

    9732

    ,997

    ,440

    68,5

    48,4

    3728

    .41

    21.3

    1

    9U

    ttar P

    rade

    sh10

    4,48

    0,51

    095

    ,331

    ,831

    199,

    812,

    341

    25.8

    520

    .23

    10Bi

    har

    54,2

    78,1

    5749

    ,821

    ,295

    104,

    099,

    452

    28.6

    225

    .42

    11Si

    kkim

    323,

    070

    287,

    507

    610,

    577

    33.0

    612

    .89

    12A

    runa

    chal

    Pra

    desh

    713,

    912

    669,

    815

    1,38

    3,72

    727

    .00

    26.0

    3

    13N

    agal

    and

    1,02

    4,64

    995

    3,85

    31,

    978,

    502

    64.5

    3-0

    .58

    14M

    anip

    ur

    1,43

    8,58

    61,

    417,

    208

    2,85

    5,79

    424

    .86

    31.8

    0

    15M

    izor

    am55

    5,33

    954

    1,86

    71,

    097,

    206

    28.8

    223

    .48

    16Tr

    ipur

    a1,

    874,

    376

    1,79

    9,54

    13,

    673,

    917

    16.0

    314

    .84

    17M

    egha

    laya

    1,49

    1,83

    21,

    475,

    057

    2,96

    6,88

    930

    .65

    27.9

    5

    18A

    ssam

    15,9

    39,4

    4315

    ,266

    ,133

    31,2

    05,5

    7618

    .92

    17.0

    7

    19W

    est B

    enga

    l46

    ,809

    ,027

    44,4

    67,0

    8891

    ,276

    ,115

    17.7

    713

    .84

    tabl

    e 2.

    2: P

    opul

    atio

    n an

    d G

    row

    th R

    ate

    - 201

    1

    (Con

    td.)

  • 14 Agricultural Statistics at a glance 2015

    Sl.

    No.

    Stat

    es/

    UTs

    Popu

    latio

    nD

    ecad

    al G

    row

    th (%

    )

    Mal

    eFe

    mal

    eTo

    tal

    1991

    -200

    120

    01-2

    011

    (1)

    (2)

    (3)

    (4)

    (5)

    (6)

    (7)

    20Jh

    arkh

    and

    16,9

    30,3

    1516

    ,057

    ,819

    32,9

    88,1

    3423

    .36

    22.4

    2

    21O

    dish

    a21

    ,212

    ,136

    20,7

    62,0

    8241

    ,974

    ,218

    16.2

    514

    .05

    22C

    hhat

    tisga

    rh12

    ,832

    ,895

    12,7

    12,3

    0325

    ,545

    ,198

    18.2

    722

    .61

    23M

    adhy

    a Pr

    ades

    h37

    ,612

    ,306

    35,0

    14,5

    0372

    ,626

    ,809

    24.2

    620

    .35

    24G

    ujar

    at

    31,4

    91,2

    6028

    ,948

    ,432

    60,4

    39,6

    9222

    .66

    19.2

    8

    25D

    aman

    & D

    iu

    150,

    301

    92,9

    4624

    3,24

    755

    .73

    53.7

    6

    26D

    adra

    & N

    agar

    Hav

    eli

    193,

    760

    149,

    949

    343,

    709

    59.2

    255

    .88

    27M

    ahar

    asht

    ra58

    ,243

    ,056

    54,1

    31,2

    7711

    2,37

    4,33

    322

    .73

    15.9

    9

    28A

    ndhr

    a Pr

    ades

    h42

    ,442

    ,146

    42,1

    38,6

    3184

    ,580

    ,777

    14.5

    910

    .98

    29K

    arna

    taka

    30,9

    66,6

    5730

    ,128

    ,640

    61,0

    95,2

    9717

    .51

    15.6

    0

    30G

    oa73

    9,14

    071

    9,40

    51,

    458,

    545

    15.2

    18.

    23

    31La

    ksha

    dwee

    p 33

    ,123

    31,3

    5064

    ,473

    17.3

    06.

    30

    32K

    eral

    a16

    ,027

    ,412

    17,3

    78,6

    4933

    ,406

    ,061

    9.43

    4.91

    33Ta

    mil

    Nad

    u36

    ,137

    ,975

    36,0

    09,0

    5572

    ,147

    ,030

    11.7

    215

    .61

    34Pu

    duch

    erry

    61

    2,51

    163

    5,44

    21,

    247,

    953

    20.6

    228

    .08

    35A

    ndam

    an &

    Nic

    obar

    Isla

    nds

    202,

    871

    177,

    710

    380,

    581

    26.9

    06.

    86So

    urce:

    Reg

    istra

    r Gen

    eral

    of

    Indi

    a.

    Tabl

    e: 2

    .2 (C

    ontd

    .)

  • Socio-Economic Indicators 15

    (In

    Mill

    ions

    )

    Year

    Tota

    lAv

    erag

    e A

    nnua

    l Exp

    onen

    tial

    Rura

    lTo

    tal

    Agr

    icul

    tura

    l Wor

    kers

    Popu

    latio

    nG

    row

    th R

    ate

    (%)

    Popu

    latio

    nW

    orke

    rsC

    ultiv

    ator

    sA

    gric

    ultu

    ral L

    abou

    rers

    Tota

    l

    (1)

    (2)

    (3)

    (4)

    (5)

    (6)

    (7)

    (8)

    1951

    361.

    11.

    2529

    8.6

    (82.

    7)13

    9.5

    69.9

    (71.

    9)27

    .3(2

    8.1)

    97.2

    (69.

    7)

    1961

    439.

    21.

    9636

    0.3

    (82.

    0)18

    8.7

    99.6

    (76.

    0)31

    .5(2

    4.0)

    131.

    1 (6

    9.5)

    1971

    548.

    22.

    20

    439.

    0 (8

    0.1)

    180.

    478

    .2(6

    2.2)

    47.5

    (37.

    8)12

    5.7

    (69.

    7)

    1981

    683.

    32.

    22

    525.

    6(7

    6.9)

    244.

    692

    .5(6

    2.5)

    55.5

    (37.

    5)14

    8.0

    (60.

    5)

    1991

    846.

    42.

    1663

    0.6

    (74.

    5)31

    4.1

    110.

    7(5

    9.7)

    74.6

    (40.

    3)18

    5.3

    (59.

    0)

    2001

    1028

    .71.

    9774

    2.6

    (72.

    2)40

    2.2

    127.

    3(5

    4.4)

    106.

    8(4

    5.6)

    234.

    1 (5

    8.2)

    2011

    1210

    .81.

    5083

    3.7

    (68.

    9)48

    1.7

    118.

    8(4

    5.1)

    144.

    3(5

    4.9)

    263.

    1(5

    4.6)

    Sour

    ce: R

    egist

    rar G

    ener

    al o

    f Ind

    ia.

    Note

    s :1.For2001,figuresincludeestimatedfiguresforthoseofthethreesub-divisionsviz.MaoMaram,PaomataandPurulofSenapatidistrictofManipurascensusresults

    of 2

    001

    Cen

    sus i

    n th

    ese

    thre

    e su

    b-di

    visio

    ns w

    ere

    canc

    elle

    d du

    e to

    tech

    nica

    l and

    adm

    inist

    rativ

    e re

    ason

    s. 2.The1991CensuscouldnotbeheldowingtodisturbedconditionsprevailinginJammu&Kashmir.Hencethepopulationfiguresfor1991ofJammu&Kashmirhavebeen

    wor

    ked

    out b

    y ‘in

    terp

    olat

    ion’

    . The

    dat

    a on

    wor

    kers

    in C

    ol. 5

    -7 e

    xclu

    de J&

    K.

    3.The1981censuscouldnotbeheldinAssam.Thefiguresfor1981forAssamhavebeenworkedoutbyinterpolation.ThedataonworkersinCol.5-7excludeAssam.

    4. F

    igur

    es w

    ithin

    par

    enth

    eses

    in C

    ol.-4

    are

    per

    cent

    ages

    to th

    e To

    tal P

    opul

    atio

    n.

    5. F

    igur

    es w

    ithin

    par

    enth

    eses

    in C

    ol.-6

    and

    7 a

    re p

    erce

    ntag

    es to

    Col

    .-8.

    6. F

    igur

    es w

    ithin

    par

    enth

    eses

    in C

    ol.-8

    is p

    erce

    ntag

    e sh

    are

    of A

    gric

    ultu

    ral W

    orke

    rs in

    Tot

    al W

    orke

    rs.

    tabl

    e 2.

    3(a)

    : Po

    pula

    tion

    and

    Agr

    icul

    tura

    l Wor

    kers

  • 16 Agricultural Statistics at a glance 2015

    Stat

    es\U

    TsTo

    tal/

    Urb

    an/

    Rura

    l

    Tot

    al

    Popu

    latio

    nTo

    tal

    Wor

    king

    Po

    pula

    tion

    Tota

    l M

    ain

    Wor

    kers

    Tota

    l M

    argi

    nal

    Wor

    kers

    Tota

    l N

    on

    Wor

    kers

    Mal

    e Po

    pula

    tion

    Mal

    e W

    orki

    ng

    Popu

    latio

    n

    Mal

    e M

    ain

    Wor

    kers

    Fem

    ale

    Popu

    latio

    nFe

    mal

    e W

    orki

    ng

    Popu

    latio

    n

    Fem

    ale

    Mai

    n W

    orke

    rs(1

    )(2

    ) (

    3) (4

    )(5

    )(6

    )(7

    )(8

    )(9

    )(1

    0)(1

    1) (1

    2) (1

    3)In

    dia

    tota

    l12

    1085

    4977

    4818

    8886

    836

    2565

    571

    1193

    2329

    772

    8966

    109

    6232

    7025

    833

    1939

    875

    2732

    0997

    658

    7584

    719

    1499

    4899

    389

    3555

    95r

    ural

    8337

    4885

    234

    8743

    092

    2458

    6842

    110

    2874

    671

    4850

    0576

    042

    7781

    058

    2268

    3701

    317

    8095

    330

    4059

    6779

    412

    1906

    079

    6777

    3091

    Urb

    an37

    7106

    125

    1331

    4577

    611

    6697

    150

    1644

    8626

    2439

    6034

    919

    5489

    200

    1051

    0286

    295

    1146

    4618

    1616

    925

    2804

    2914

    2158

    2504

    Jam

    mu

    &

    Kas

    hmir

    Tota

    l12

    5413

    0243

    2271

    326

    4414

    916

    7856

    482

    1858

    966

    4066

    231

    9509

    023

    0578

    859

    0064

    011

    2762

    333

    8361

    Rura

    l91

    0806

    031

    1308

    116

    6981

    414

    4326

    759

    9497

    947

    7447

    722

    1200

    614

    5315

    743

    3358

    390

    1075

    2166

    57U

    rban

    3433

    242

    1209

    632

    9743

    3523

    5297

    2223

    610

    1866

    185

    9830

    8485

    2631

    1567

    057

    2265

    4812

    1704

    Him

    acha

    l Pr

    ades

    hTo

    tal

    6864

    602

    3559

    422

    2062

    501

    1496

    921

    3305

    180

    3481

    873

    2043

    373

    1438

    989

    3382

    729

    1516

    049

    6235

    12Ru

    ral

    6176

    050

    3289

    384

    1822

    109

    1467

    275

    2886

    666

    3110

    345

    1836

    358

    1247

    874

    3065

    705

    1453

    026

    5742

    35U

    rban

    6885

    5227

    0038

    2403

    9229

    646

    4185

    1437

    1528

    2070

    1519

    1115

    3170

    2463

    023

    4927

    7Pu

    njab

    Tota

    l27

    7433

    3898

    9736

    284

    5093

    614

    4642

    617

    8459

    7614

    6394

    6580

    7415

    772

    6463

    113

    1038

    7318

    2320

    511

    8630

    5Ru

    ral

    1734

    4192

    6179

    199

    5107

    024

    1072

    175

    1116

    4993

    9093

    476

    4995

    819

    4417

    839

    8250

    716

    1183

    380

    6891

    85U

    rban

    1039

    9146

    3718

    163

    3343

    912

    3742

    5166

    8098

    355

    4598

    930

    7833

    828

    4679

    248

    5315

    763

    9825

    4971

    20C

    hand

    igar

    hTo

    tal

    1055

    450

    4041

    3638

    5929

    1820

    765

    1314

    5806

    6332

    8159

    3171

    9047

    4787

    7597

    768

    739

    Rura

    l28

    991

    1235

    011

    683

    667

    1664

    117

    150

    1066

    410

    356

    1184

    116

    8613

    27U

    rban

    1026

    459

    3917

    8637

    4246

    1754

    063

    4673

    5635

    1331

    7495

    3068

    3446

    2946

    7429

    167

    412

    Utta

    rakh

    and

    Tota

    l10

    0862

    9238

    7227

    528

    7062

    410

    0165

    162

    1401

    751

    3777

    325

    5192

    120

    7076

    049

    4851

    913

    2035

    479

    9864

    Rura

    l70

    3695

    428

    8553

    319

    9733

    288

    8201

    4151

    421

    3519

    042

    1726

    674

    1322

    523

    3517

    912

    1158

    859

    6748

    09U

    rban

    3049

    338

    9867

    4287

    3292

    1134

    5020

    6259

    616

    1873

    182

    5247

    7482

    3714

    3060

    716

    1495

    1250

    55H

    arya

    naTo

    tal

    2535

    1462

    8916

    508

    7015

    283

    1901

    225

    1643

    4954

    1349

    4734

    6806

    636

    5860

    600

    1185

    6728

    2109

    872

    1154

    683

    Rura

    l16

    5093

    5960

    0311

    244

    3580

    515

    6730

    710

    5062

    4787

    7400

    643

    9221

    436

    7258

    877

    3535

    316

    1089

    876

    3217

    Urb

    an88

    4210

    329

    1339

    625

    7947

    833

    3918

    5928

    707

    4720

    728

    2414

    422

    2188

    012

    4121

    375

    4989

    7439

    1466

    Del

    hiTo

    tal

    1678

    7941

    5587

    049

    5307

    329

    2797

    2011

    2008

    9289

    8732

    647

    6202

    645

    6271

    078

    0061

    582

    5023

    7446

    19Ru

    ral

    4190

    4213

    0227

    1185

    1011

    717

    2888

    1522

    6321

    1115

    0010

    3568

    1927

    2118

    727

    1494

    2U

    rban

    1636

    8899

    5456

    822

    5188

    819

    2680

    0310

    9120

    7787

    6100

    546

    5052

    644

    5914

    276

    0789

    480

    6296

    tabl

    e 2.

    3(b)StatewiseClassificationofWorkers-2011

    (Con

    td.)

  • Socio-Economic Indicators 17

    Stat

    es\U

    TsTo

    tal/

    Urb

    an/

    Rura

    l

    Tot

    al

    Popu

    latio

    nTo

    tal

    Wor

    king

    Po

    pula

    tion

    Tota

    l M

    ain

    Wor

    kers

    Tota

    l M

    argi

    nal

    Wor

    kers

    Tota

    l N

    on

    Wor

    kers

    Mal

    e Po

    pula

    tion

    Mal

    e W

    orki

    ng

    Popu

    latio

    n

    Mal

    e M

    ain

    Wor

    kers

    Fem

    ale

    Popu

    latio

    nFe

    mal

    e W

    orki

    ng

    Popu

    latio

    n

    Fem

    ale

    Mai

    n W

    orke

    rs(1

    )(2

    ) (

    3) (4

    )(5

    )(6

    )(7

    )(8

    )(9

    )(1

    0)(1

    1) (1

    2) (1

    3)Ra

    jast

    han

    Tota

    l68

    5484

    3729

    8862

    5521

    0579

    6888

    2828

    738

    6621

    8235

    5509

    9718

    2970

    7615

    2435

    3732

    9974

    4011

    5891

    7958

    1443

    1Ru

    ral

    5150

    0352

    2438

    5233

    1617

    3343

    8211

    890

    2711

    5119

    2664

    1747

    1377

    5469

    1106

    9837

    2485

    8605

    1060

    9764

    5103

    506

    Urb

    an17

    0480

    8555

    0102

    248

    8462

    561

    6397

    1154

    7063

    8909

    250

    4521

    607

    4173

    700

    8138

    835

    9794

    1571

    0925

    Utta

    r Pra

    desh

    Tota

    l19

    9812

    341

    6581

    4715

    4463

    5492

    2117

    9223

    1339

    9762

    610

    4480

    510

    4984

    6762

    3742

    0299

    9533

    1831

    1596

    7953

    7215

    193

    Rura

    l15

    5317

    278

    5195

    0980

    3353

    8817

    1841

    2163

    1033

    6629

    880

    9929

    9538

    3528

    7927

    8123

    4774

    3242

    8313

    5981

    0157

    2647

    0U

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    4449

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    2456

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    2688

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    4424

    8299

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    0637

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    9(C

    ontd

    .)

    Tabl

    e 2.

    3(b)

    (Con

    td.)

  • 18 Agricultural Statistics at a glance 2015

    Stat

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    Tabl

    e 2.

    3(b)

    (Con

    td.)

    (Con

    td.)

  • Socio-Economic Indicators 19

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    Kar

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    2762

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    162

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    6447

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    315

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    67Ru

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    100

    8579

    5521

    3623

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    880

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    5924

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    2569

    1320

    Tabl

    e 2.

    3(b)

    (Con

    td.)

    (Con

    td.)

  • 20 Agricultural Statistics at a glance 2015

    Stat

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