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Government of India Ministry of Agriculture & Farmers Welfare Department of Agriculture, Cooperation & Farmers Welfare Directorate of Economics & Statistics AGRICULTURAL STATISTICS AT A GLANCE 2017

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  • Government of IndiaMinistry of Agriculture & Farmers Welfare

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

    AGRICULTURAL STATISTICS AT A GLANCE 2017

  • Agricultural Statistics at a Glance 2017

  • Agricultural Statistics at a Glance 2017

    Government of IndiaMinistry of Agriculture & Farmers Welfare

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

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

    © Government of India PDES – 258 (E)Controller of Publications 500-2019 (DSK-III)

  • v

    MESSAGE

    Agriculture and allied sector is the cornerstone of Indian economy, being watched keenly by not only the policy makers but also by business and industry, and the academia. The Directorate of Economics and Statistics caters to this demand by annually publishing “Agricultural Statistics at a Glance”. Over the years, this publication has become a trusted source of reference to people and organizations dealing with agricultural economy.

    It gives me immense pleasure to see that the Directorate has continuously endeavored to increase the relevance of this publication by adding information on new areas of concern and relevance for the agriculture sector. This issue includes the updated information on recent initiatives by the Government, viz., coverage under Soil Health Card, Pradhan Mantri Fasal Bima Yojana (PMFBY), Micro Irrigation, etc. This publication is also being simultaneously released electronically on the website of the Department of Agriculture, Cooperation and Farmers Welfare www.agricoop.nic.in and http;//eands.dacnet.nic

    I compliment Shri P.C. Bodh, Adviser, Ms. Swati Singla, Assistant Economic Adviser, Shri Ashutosh Sharma, Economic Officer and their team members for their efforts in bringing out this volume.

    I am sure that this issue will be found useful by one and all.

    (S.K. Pattanayak)

    Date: July 4, 2018

    Dr. S.K. PattanayakSECRETARY

    Government of IndiaMinistry of Agriculture & Farmers WelfareDepartment of Agriculture, Cooperation

    & Farmers Welfare

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  • vii

    FOREWORD

    The Directorate of Economics and Statistics brings out its flagship publication “Agricultural Statistics at a Glance” every year. The publication is widely used as a trusted source of information on various aspects of agriculture and allied sector, including crop production and productivity, growth and investment in agriculture, minimum support price, cost of production, terms of trade, imports and exports, land-use statistics, agricultural inputs, rainfall distribution, etc.

    The wide coverage of data in a single book makes it a much sought after and valued publication. The publication will be of immense use to policy makers, farmers, researchers, scientists, administrators, trade, industry, statisticians, economists and the general public. I am sure that this new edition will be appreciated for its rich content, up-to-date coverage of data on the agriculture and allied sectors.

    (Sudha P. Rao)

    Date: June, 2018

    SUDHA P. RAOPrincipal Adviser

    Government of IndiaMinistry of Agriculture & Farmers Welfare

    (Department of Agriculture, Cooperation & Farmers Welfare)

    Krishi Bhawan, New Delhi-110001Tel.:011-23382719, Fax: 011-23073225

    E-mail : [email protected]

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  • ix

    PREFACE The Directorate of Economics and Statistics, an attached office of the Department of Agriculture, Cooperation & Farmers Welfare, has been entrusted with an important task of collating and analyzing data on various aspects of Indian agriculture with a view to assist in policy formulation. Its annual flagship publication “Agricultural Statistics at a Glance” is a rich source of data on a wide range of parameters, such as area, production and productivity of various crops across States, land-use statistics, price support and procurement, international trade, credit and insurance.

    This issue of the publication has been enriched with latest available information on above aspects and other useful information on emerging areas in agriculture sector. For wider accessibility, a soft copy of the publication has also been uploaded at our website: www.agricoop.nic.in & http://eands.dacnet.nic.in/.

    I am grateful to the various contributing Ministries/ Departments/ Organizations for providing us with the updated material for the publication. I also record my gratitude to all the officers of the Directorate of Economics and Statistics, particularly Shri P.C. Bodh, Adviser and his team for their efforts in bringing out this enriched volume. I look forward to comments and suggestions for improvement.

    (K.L Prasad) June 28, 2018

    K.L. PrasadSr. Economic and Statistical Adviser

    Directorate of Economics & StatisticsDepartment of Agriculture, Cooperation

    & Farmers WelfareMinistry of Agriculture & Farmers Welfare

    Government of India Krishi Bhawan, New Delhi-110 001

    Telefax : 011-23382016E-mail: [email protected]

    [email protected]

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  • x

    Team associated with the Publication

    Chief Supervision Shri P.C. Bodh Adviser

    SupervisionMs. Swati Singla Assistant Economic AdviserShri Ashutosh Sharma Economic Officer

    Compilation & ComputerizationShri Manish Yadav Junior Statistical OfficerMs. Neha Arora Technical Assistant (Eco)Shri Subhash Dawar DEO (Gr.-A) Ms. Sunita Virmani DEO (Gr.-B)

    Support StaffShri Rinku MTS

  • xi

    Contents

    Page No.Message vForeword viiPreface ixTeam Associated with the Publication xiAcronyms xxiiiConversion Table xxvii

    1. Methodology of Crop Estimation 1-7

    2. Socio-Economic Indicators 9-50

    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 222.4 State-wise Percentage of Population Below Poverty Line 282.5 Population and Labour Force Projections 302.6(a) Gross Value Added (GVA) at basic prices by Economic

    Activity (at 2011-12 prices) 31

  • Agricultural Statistics at a Glance 2017

    xii

    2.6(b) Gross Value Added (GVA) at basic prices by Economic Activity (at Current Prices) 33

    2.6(c) Percentage Share in Gross Value Added (GVA) at Current Prices 35

    2.6(d) Percentage Growth of Gross Value Added (GVA) at 2011-12 Prices 36

    2.6(e) Gross Domestic Product (GDP) by Economic Activity at Constant Prices (2004-05 Series) 37

    2.6(f) Gross Domestic Product(GDP) by Economic Activity at Current Prices (2004-05 Series) 39

    2.6(g) Percentage Share of GDP at 2004-05 Prices 412.6(h) Percentage Growth of GDP at 2004-05 Prices 422.7(a) Gross State Value Added from Agriculture and Allied

    Sector at Constant (2011-12) Prices 43

    2.7(b) Gross State Value Added from Agriculture (including Crop and Livestock sector) at Constant (2011-12) Prices

    45

    2.7(c) Gross State Domestic Product from Agriculture and Allied Sector at Constant (2004-05) Prices 47

    2.8 Share of Agriculture & Allied Sector in Gross State Value Added at Current Prices (2011-12 Series) 49

    3. Outlays, Expenditure and Capital Formation in Agriculture 51-72

    3.1 Share of Public Sector Outlays and Expenditure under Agriculture and Allied Activities 52

    3.2 Public Sector Outlays / Expenditure 543.3 Disaggregated Public Sector Outlays / Expenditure

    under Agriculture and Allied Activities 56

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

    58

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

    59

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

    60

  • Contents

    xiii

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

    61

    3.5(b) Scheme-wise Budget Estimate and Expenditure (Department of Animal Husbandry and Fisheries) 63

    3.5(c) Scheme-wise Budget Estimate and Expenditure (Department of Agricultural Research and Education) 65

    3.6(a) (Gross Capital Formation in Agriculture & Allied Sector (at current prices, 2004-05 series) 67

    3.6(b) Gross Capital Formation in Agriculture & Allied Sector (at current prices, 2011-12 series) 68

    3.6(c) Gross Capital Formation in Agriculture & Allied Sector (at constant prices, 2004-05) 69

    3.6(d) Gross Capital Formation in Agriculture & Allied Sector (at constant prices, 2011-12) 70

    3.7(a) Public and Private Investment in Agriculture and Allied Sectors in Total GDP at Market Prices (Current prices) 70

    3.7(b) Public and Private Investment in Agriculture and Allied Sectors in Total GDP at Market Prices (2011-12 prices) 71

    3.8(a) Share(%) of GCF to GDP in Agriculture and Allied Sectors 71

    3.8(b) Share(%) of GCF to GVA in Agriculture and Allied Sectors 72

    4 (A) Area, Production and Yield of Principal Crops 73-151

    4.1(a) Target and Achievement of Production of Major Crops during Tenth Five Year Plan 74

    4.1(b) Target and Achievement of Production of Major Crops during Eleventh and Twelfth Five Year Plans 75

    4.2 Three Largest Producing States of Important Crops during 2016-17 76

    4.3 Normal Estimates (Average of 2010-11 to 2015-16) Area, Production and Yield of Major Crops in India 78

    4.4 Season-wise Area, Production and Yield of Food grains 80

    Area, Production and Yield alongwith coverage under Irrigation

    4.5(a) Foodgrains - All India 834.5(b) Foodgrains - Major States 85

  • Agricultural Statistics at a Glance 2017

    xiv

    4.6(a) Rice - All India 874.6(b) Rice - Major States 894.7(a) Wheat - All India 904.7(b) Wheat - Major States 924.8(a) Coarse Cereals - All India 934.8(b) Coarse Cereals - Major States 954.9(a) Jowar - All India 974.9(b) Jowar - Major States 994.10(a) Bajra - All India 1004.10(b) Bajra - Major States 1024.11(a) Maize - All India 1034.11(b) Maize - Major States 1054.12(a) Total Pulses - All India 1064.12(b) Total Pulses - Major States 1084.13(a) Gram - All India 1094.13(b) Gram - Major States 1114.14(a) Tur (Arhar) - All India 1124.14(b) Tur (Arhar) - Major States 1144.15(a) Lentil (Masur) - All India 1154.15(b) Lentil (Masur) - Major States 1174.16(a) Nine Oilseeds - All India 1184.16(b) Nine Oilseeds - Major States 1204.17(a) Groundnut - All India 1214.17(b) Groundnut - Major States 1234.18(a) Rapeseed & Mustard - All India 1244.18(b) Rapeseed & Mustard - Major States 1264.19(a) Soybean - All India 1274.19(b) Soybean - Major States 1294.20(a) Sunflower - All India 1304.20(b) Sunflower - Major States 1324.21(a) Cotton - All India 1334.21(b) Cotton - Major States 1354.22(a) Jute & Mesta - All India 1364.22(b) Jute & Mesta - Major States 1384.23(a) Sugarcane - All India 1394.23(b) Sugarcane - Major States 141

  • Contents

    xv

    4.24(a) Tobacco - All India 1424.24(b) Tobacco - Major States 1444.25 All-India Area, Production and Yield of Guarseed and

    Sunhemp 145

    4.26 Production of Oilseeds/Oils and Net Availability of Edible Oils (November-October) 146

    4.27 State wise Quantity of Crude Palm Oil (CPO) under 148Oil Palm Development Programme (OPDP)

    4.28(a) State-wise Production of Oil Palm Fresh Fruit Bunches 1494.28(b) Target and Achievement of Area Expansion under Oil

    Palm Development Programme (OPDP) of ISOPOM, NMOOP and OPAE

    150

    4.28(c) State-wise potential area and area Covered Under Oil Palm Development Programme upto 2016-17 151

    4 (B) Yield Rates of Principal Crops 152-196

    4.1.1 All India Estimates of yield of Major Crops 153

    State-wise yield

    4.1.2 Kharif Foodgrains 1554.1.3 Rabi Foodgrains 1574.1.4 Total Foodgrains 1594.1.5 Rice 1614.1.6 Wheat 1664.1.7 Bajra 1684.1.8 Maize 1704.1.9 Total Pulses 1744.1.10 Gram 1764.1.11 Tur 1784.1.12 Total Oilseeds 1804.1.13 Kharif Oilseeds 1824.1.14 Rabi Oilseeds 1844.1.15 Groundnut 1864.1.16 Rapeseed & Mustard 1894.1.17 Linseed 1914.1.18 Safflower 1924.1.19 Sunflower 1934.1.20 Soybean 196

  • Agricultural Statistics at a Glance 2017

    xvi

    4 (C) Area and Yield of Cereal Crops covered under Crop Estimation Survey (CES) 197-220

    Area under High Yielding Varieties in Major States

    4.2.1 Rice 1984.2.2 Jowar 2004.2.3 Bajra 2014.2.4 Maize 2024.2.5 Wheat 204

    Yield of Local Varieties in Major States

    4.2.6 Rice 2054.2.7 Jowar 2084.2.8 Bajra 2094.2.9 Maize 2104.2.10 Wheat 212

    Yield of High Yielding Varieties in Major States

    4.2.11 Rice 2134.2.12 Jowar 2164.2.13 Bajra 2174.2.14 Maize 2184.2.15 Wheat 220

    5. Area, Production and Yield of Horticulture & Plantation Crops 221-244

    5.1 Area and Production of Horticulture Crops 2225.2 State-wise Area and Production of various

    Horticultural Crops during 2016-17 227

    5.3(a) Potato – All India 2295.3(b) Potato – Major States 2315.4(a) Onion – All India 2325.4(b) Onion – Major States 2335.5(a) Coconut – All India 2345.5(b) Coconut – Major States 2355.6(a) Cashewnut – All India 2365.6(b) Cashewnut – Major States 2375.7 Arecanut and Banana – All India 238

  • Contents

    xvii

    5.8 Garlic and Ginger – All India 2395.9 Sweet Potato and Tapioca – All India 2405.10 Turmeric, Chilies and Coriander - All India 2415.11 Cardamom and Pepper – All India. 243

    6. All India Index Numbers of Area, Production, Yield and Terms of Trade 245-256

    6.1 All India Index Numbers of Area of Principal Crops 2466.2 All India Index Numbers of Production of Principal

    Crops 249

    6.3 All India Index Numbers of Yield of Principal Crops 2526.4(a) Index of Terms of Trade between Farmers and Non-

    Farmers 255

    6.4(b) Index of Terms of Trade between Agriculture and Non-Agricultural sectors 256

    7. Area, Production and Yield of Major Crops in Different Countries 257-262

    7.1 Area, Production and Yield of Principal Crops in various countries during 2015 258

    7.2 India's Position in World Agriculture during 2015 260

    8. Minimum Support Prices/ Marketed Surplus Ratios 263-276

    8.1 Minimum Support Prices of Various Agriculture Commodities 264

    8.2 Central Issue Prices of Rice, Wheat and Coarse Grains 2668.3 Cost Estimates of Principal Crops-2014-15 2678.4 Marketed Surplus Ratio (MSR) of Important

    Agricultural Commodities in various States 272

    9. Procurement by Public Agencies 277-286

    9.1(a) State-wise Procurement of Rice and Wheat in Major Rice & Wheat Producing States 278

    9.1(b) State-wise Procurement of Coarse Grains in Major Producing States 280

    9.2(a) State wise Cotton Purchases by Cotton Corporation of India 281

    9.2(b) Procurement of Cotton by NAFED 2829.3 State-wise Purchases of Raw Jute 283

  • Agricultural Statistics at a Glance 2017

    xviii

    9.4 Procurement of Oilseeds by NAFED under Price Support Scheme (PSS) 284

    9.5 Procurement of Onion by NAFED under Market Intervention Scheme 286

    10. Per Capita Net Availability 287-296

    10.1 Per Capita Net Availability of Food grains (Per Annum) in India 288

    10.2 Per Capita Net Availability of Food grains (Per Day) in India 290

    10.3 Per Capita Availability of Certain Important Articles of Consumption 292

    10.4(a) Trends in percentage composition of consumer expenditure since 1993-94 294

    10.4(b) Per capita Consumption of Different Commodities 295

    11. Stock, Consumption and Storage Capacity 297-304

    11.1(a) Stock of Foodgrains in the Central Pool 29811.1(b) Existing Buffer Stock Norms for Foodgrains 29911.2 Consumption and Stocks of Raw Jute 30011.3(a) State-wise Storage capacity 30111.3(b) State-wise Cold Storage capacity as on 31-03-2017 30211.3(c) State-wise Storage capacity sanctioned since inception

    under Agricultural Marketing Infrastructure (AMI), Sub-Scheme of Integrated Scheme on Agricultural Marketing (ISAM)

    303

    12. Imports/ Exports/ Inflation Rates 305-328

    12.1 India's Imports and Exports of Agricultural Commodities 306

    12.2 India's Imports of Agricultural Products 30712.3 India's Exports of Agricultural Products 31312.4 Tariffs and Bound Rates on Major Agricultural

    Commodities/Groups 319

    12.5(a) Trends in Wholesale Price Index of Food grains (Base: 2004-05=100) 322

    12.5(b) Growth Rates of Wholesales price Index of Food grains (Base: 2004-05=100) 323

  • Contents

    xix

    12.6(a) Trends in Wholesale Price Index of Commercial Crops (Base: 2004-05=100) 324

    12.6(b) Growth rate (Inflation) of Wholesale Price Index of Commercial Crops (Base: 2004-05=100) 326

    13. Land Use Statistics 329-352

    13.1 Agricultural Land by Use in India 33013.2 Selected Categories of Land Use 33413.3 Gross Cropped Area Percentage Distribution 33613.4 State-wise Percent coverage of Irrigated Area under

    Principal Crops during 2014-15 337

    13.5 Agricultural Land by Type of Use 34113.6 Irrigation Potential Created under Accelerated

    Irrigation Benefit Programme (AIBP) – All Major & Medium Irrigation Projects

    350

    13.7 State-wise Area covered under Micro Irrigation as on 31.03.2017 352

    14. Inputs 353-408

    14.1 Production and Use of Agricultural Inputs in India 35414.2 All-India Consumption of Fertilizers in Terms of

    Nutrients (N, P & K) 356

    14.3 Consumption, Production and Import of Fertilizers 35714.4(a) State-wise Consumption of Fertilizers in Terms of

    Nutrients (N, P & K) 359

    14.4(b) State-wise Estimated Consumption of Fertilizer per Hectare 361

    14.5(a) Fertilizer Consumption per Hectare of Agricultural Land in selected Countries 363

    14.5(b) Fertilizer Consumption per Hectare of Arable Land & Land under permanent Crops in selected Countries 365

    14.6(a) Application of Fertilizers on Paddy and Wheat in India 36714.6(b) State-wise Status of Soil Health Card Scheme – Cycle-I 36914.6(c) State-wise Status of Soil Health Card Scheme – Cycle-II 37114.7(a) Crop-wise Requirement and Availability of Certified/

    Quality Seeds 373

    14.7(b) Crop-wise Distribution of Certified/ Quality Seeds 37514.7(c) Crop-wise Requirement and Availability of Certified/

    Quality of Hybrid Seeds 377

  • Agricultural Statistics at a Glance 2017

    xx

    14.8(a) Consumption of Electricity for Agricultural Purposes 37814.8(b) State-wise Consumption of Electricity for Agriculture

    purpose 379

    14.9(a) Flow of Institutional Credit to Agriculture Sector 38214.9(b) State-wise Agriculture loan disbursed in 2016-17 38314.10 State-wise and Agency-wise KCCs- Issued and Amount

    Outstanding as on 31st March 2017 (Cumulative) 385

    14.11(a) State-wise National Agricultural Insurance Scheme (NAIS)-Cumulative upto Rabi 2015-16 387

    14.11(b) Season- wise National Agricultural Insurance Scheme (NAIS)- Cumulative upto Rabi 2015-16 389

    14.12(a) State-wise Weather Based Crop Insurance Scheme (WBCIS)- Cumulative upto Rabi 2015-16 392

    14.12(b) Season- wise Weather Based Crop Insurance Scheme (WBCIS)- Cumulative upto Rabi 2015-16 393

    14.13(a) State-wise Modified National Agricultural Insurance Scheme (MNAIS) Cumulative upto Rabi 2015-16 395

    14.13(b) Season- wise Modified National Agricultural Insurance Scheme (MNAIS)- Cumulative upto Rabi 2015-16 396

    14.14 Coconut Palm Insurance Scheme (CPIS)- Cumulative from 2009-10 to 2016-17 397

    14.15(a) State-wise coverage under PMFBY Cumulative upto Rabi 2016-17 398

    14.15(b) Season-wise coverage under PMFBY Cumulative upto Rabi 2016-17 400

    14.16(a) State-wise Restructured Weather Based Crop Insurance Scheme (RWBCIS) - Cumulative upto Rabi 2016-17 401

    14.16(b) Season-wise Restructured Weather Based Crop Insurance Scheme (RWBCIS) - Cumulative upto Rabi 2016-17

    403

    14.17(a) State-wise crop area insured under all Insurance Schemes 404

    14.17(b) Crop-wise area insured under all Insurance Schemes 40614.18(a) Year-wise sale of Tractors and Power Tillers 40714.18(b) State-wise sale of Tractors during 2016-17 408

  • Contents

    xxi

    15. Agricultural Census (2010-11) and Input Survey (2011-12) 409-424

    15.1 Number and Area of Operational Holdings by Size Group 410

    15.2(a) Number of Operational Holdings by Size Group 41115.2(b) Area of Operational Holdings by Size Group 41315.3 Average Size of Holdings by Size Group 41515.4 Estimated Number of Operational Holdings by Size

    Classes and Irrigation Status 417

    15.5 Area Irrigated by different Source of Irrigation by Size Classes 418

    15.6 Irrigated and Un-irrigated Area by Size Classes under different Crops 419

    15.7 Usage of Chemical Fertilizers, Farm Yard Manure and Pesticides by major Size Group 420

    15.8 Estimated Institutional Credit taken for Agricultural purposes by Size Groups 422

    15.9 Total Institutional Credit taken for Agriculture purposes by different Size Groups 424

    16. Situation of Agricultural Households in India 425-430

    16.1 Estimated Number of Rural Households, Agricultural Households and Indebted Agricultural Households during the agricultural year July 2012-June 2013

    426

    16.2 Indebtedness of Agricultural Households (all-India) in different Size Classes of Land Possessed 428

    16.3 Incidence of Indebtedness in Major States 42916.4 The Percentage Distribution of Indebted Agricultural

    Households by size class of land possessed for selected states

    430

    17. Ceiling on Land Holdings and Wages for Agricultural Workers 431-436

    17.1 Ceilings on Land Holdings 43217.2 Minimum Rates of Wages for different category

    of Farm Workers in different States/UTs under the Minimum Wages Act,1948

    433

    18. Livestock 437-444

    18.1 Livestock Population in India 438

  • Agricultural Statistics at a Glance 2017

    xxii

    18.2 All India Production of Milk, Eggs and Wool 43918.3 State-wise production of Milk, Eggs, Meat and Wool 440

    19. Fish Production 445-448

    19.1 Fish Production in India 44619.2 State-wise Production of Fish 447

    20. Rainfall Scenario and Management of Natural Disasters 449-467

    20.1 Rainfall Status 44920.2 Performance of South West Monsoon during 1989 to

    2017 451

    20.3 All India Rainfall Distribution from 1992-93 to 2017-18 45220.4 Broad region wise Monsoon (June-September) Rainfall

    Distribution from 2005 to 2017 454

    20.5 Rainfall in 2017 45520.6 Brief History of Most Intense Cyclones from 1970 to

    2017 457

    21. Conversion Factors between Important Primary and Secondary Agricultural Commodities 469-471

    22. List of Studies Conducted by Agro-Economic Research Centres 472-481

    Appendices 482-511

    I Explanatory Notes 483II Methodology on Index Numbers 485III Glossary of English, Botanical and Hindi Names of

    Important Crops 487

    IV Crop Calendar of Major Crops 490V Harvesting Season of major Fruits 506Vl Harvesting Season of major Vegetables 508Vll Seed Rate of Sowing for Important Field Crops 510

  • xxiii

    AcronymsAAY Antyodaya Anna YojanaAE Advance EstimateAGDP Gross Domestic Product from AgricultureAPL Above Poverty LineBE Budget EstimatesBPL Below Poverty LineCACP Commission for Agricultural Costs and PricesCBB Commercial Bank BranchCCE Crop Cutting ExperimentsCCI Cotton Corporation of IndiaCDSBO Crude Degumed Soyabean OilCES Crop Estimation SurveysCFA Central Financial AgencyCIF Cost, Insurance & FreightCIP Central Issue PriceCPI-IW Consumer Price Index for Industrial WorkersCWWG Crop Weather Watch GroupDAC&FW Department of Agriculture, Cooperation & Farmers

    Welfare

  • xxiv

    DAP 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 StatisticsICAR Indian Council of Agricultural ResearchICOR Incremental Capital Output RatioICS Improvement of Crop StatisticsK PotashKCC Kisan Credit CardKgs KilogramsKMPH Kilometers Per Hour

    Agricultural Statistics at a Glance 2017

  • xxv

    KWH Kilo Watt HourLS 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 CollectedNCAER National Council of Applied Economic ResearchNQ Not QuotedNAFED National Agricultural Co-operative Marketing Federation

    of India LimitedNCAER National Council of Applied Economic ResearchNDDB National Dairy Development BoardNeg. NegligibleNNP Net National ProductN,P&K Nitrogen, Phosphate and PotashNR Not Recommended/ Not Reported NS New Series EstimatesNSA Net Sown AreaNSSO National Sample Survey OrganisationOECD Organisation of Economic Cooperation and

    DevelopmentOPDP Oil Palm Development ProgrammeP Provisional/ Phosphate PACS Primary Agricultural Credit SocietyPDS Public Distribution SystemPLDB Primary Land Development BankPMKSY Pradhan Mantri Krishi Sinchayee YojanaPMFBY Pradhan Mantri Fasal Bima YojanaPSE Producers Support EstimatePSEs Public Sector Enterprises

    Acronyms

  • xxvi

    PSS Price Support SchemeQE Quick EstimateR RevisedR&D Research & DevelopmentR&M Rapeseed & MustardRMC Regional Ministers ConferenceRE Revised EstimatesRRBB 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 Tossa Deshi variety of JuteTPDS Targeted Public Distribution SystemTRQ Tariff Rate QuotaTRRM Tropical Rains Measuring MissionTT Tentative TargetsUI Un-irrigatedUT Union TerritoryWPI Wholesale Price IndexWTO World Trade OrganisationY Yield (Index Number of Yield) per hectare

    Agricultural Statistics at a Glance 2017

  • xxvii

    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 mArea1 km2 100 hectares (ha)1 km2 0.3861 square mile1 km2 247.105 acres1 m2 10.7639 square feet1 ha 10,000 m21 ha 2.4711 acres1 square mile 2.59 1 km21 acre 0.4047 ha

  • xxviii

    1 acre 4046.86 m21 acre 4840 square yard 1 square yard 9 square feet1 square yard 0.8361 m21 square foot 0.0929 m2Weight1 tonne 1000 kg1 tonne 1.1023 US ton1 US ton 0.9072 tonnes1 hg 100 gram 1 kg 2.2046 pounds (Ib)1 kg 35.274 ounce (oz)1 lb 0.4536 kg1 oz 28.3495 gramUnits1 crore 10 million1 million 10 lakh1 lakh 1000001 billion 1000 million

    Agricultural Statistics at a Glance 2017

  • 1

    1.1 IntroductionThe 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 per cent of agricultural 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 18 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, Telangana, Uttar Pradesh and Uttarakhand and 4 UTs of Chandigarh, Delhi, Dadra & Nagar Haveli and Puducherry. These States/UTs account for

    1

    Methodology of Crop Estimation

  • 2 Agricultural Statistics at a Glance 2017

    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 Lakshadweep 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

  • 3Methodology of Crop Estimation

    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 2013-14 are given in Table 1.1

    Table1.1 Experiments Planned under GCES during 2013-14 Crop Type/Crop No. of experiments Planned

    Kharif Rabi Total1. Food CropsPaddy 266548 24685 291233Wheat - 255086 255086Jowar 22588 15222 37810Bajra 37634 844 38478Maize 53320 5093 58413Ragi 10148 1491 11639Barley - 6724 6724Gram - 42488 42488Sugarcane* 28834 607 29441Other Crops 113419 64291 177710Total 532491 416531 9490222. Non-Food Crops Groundnut 23039 5025 28064Sesamum 18581 4425 23006Castor 2718 - 2718Rape & Mustard - 48374 48374Linseed - 3408 3408Cotton 19964 - 19964Jute 4114 - 4114Mesta 764 - 764Other Crops 21244 16228 37472Total 90424 77460 167884

    Total (1+2) 622915 493991 1116906

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

  • 4 Agricultural Statistics at a Glance 2017

    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.

    Figure 1.1: Sampling Design for GCES

    Tehsil / Taluk↓

    Revenue Village↓

    Survey Number / Field↓

    Experimental Plot(Specified size / shape)

    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 estimates of production for taking various policy decisions relating to pricing, marketing,

  • 5Methodology of Crop Estimation

    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 EstimatesThe 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. 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. The advance estimates of kharif crops may undergo a revision in the light of flow of more precise information from the State Governments. 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 EstimatesThe third advance estimates are prepared towards the end of March/ beginning of April every year. 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.

    1.10 Fourth Advance Estimates The fourth advance estimates are prepared in the month of June/July every year. 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. Like the third advance estimates, the fourth advance estimates are duly validated with the information available from other sources.

    1.11 Final EstimatesUnder the existing system of crop estimation, the fourth advance estimates are

  • 6 Agricultural Statistics at a Glance 2017

    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)

    The FASAL scheme was approved as a central sector plan scheme of Directorate of Economics & Statistics, DAC&FW and is in operation since August 2006. The scope of work of the FASAL scheme involved developing Econometric, Agromet and Remote Sensing based models to generate crop forecast 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. However, based on the technology feasibility and the requirement, the 11 crops are changed to Rice (Kharif & Rabi), Jowar(Rabi), Maize (Rabi), Soybean, Jute, Pulses (Rabi), Cotton, Sugarcane and Groundnut(Rabi), Rapeseed & Mustard and Wheat.

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

  • 7Methodology of Crop Estimation

    Physical Performance of FASAL scheme:The project successfully provided National/State/District level forecast of Wheat, Rice (Kharif and Rabi), Jute, Sugarcane, Cotton, Rapeseed/mustard, Wheat and Rabi sorghum in their major growing regions, in the country. Forecast 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.

    The funds are released to the implementing agencies viz (i) Space Applications 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 2/3 installments every year. The physical and financial progress is received from each of the implementing agencies after release of each installment.

    Financial Outlay of FASAL schemeAn amount of Rs. 12.19 crore has been approved as RE for the F.Y. 2017-18 under the FASAL scheme. So far, the expenditure under the FASAL scheme has been 9.53 crore (till 28.02.2018).

    ERFS ProjectBesides, Extended Range Forecast System (ERFS) Project is being implemented since 2007 with the objective of forecasting rainfall and air temperature at district level on monthly scale. For the implementation of ERFS Project, funds are released to IIT Bhubaneswar.

  • 2

    Socio-Economic Indicators

  • 10 Agricultural Statistics at a Glance 2017Ta

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  • 11Socio-Economic Indicators

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    Tabl

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  • 12 Agricultural Statistics at a Glance 2017E

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    Indu

    stria

    l Pro

    duct

    ion

    has b

    een

    revi

    sed

    since

    201

    2-13

    on

    base

    201

    1-12

    . The

    figu

    res f

    rom

    201

    2-13

    onw

    ards

    are

    bas

    ed o

    n cu

    rren

    t ser

    ies (

    2011

    -12)

    . and

    ear

    lier

    data

    are

    bas

    ed o

    n ol

    d ba

    se y

    ears

    .

    c:

    T

    he fi

    gure

    s fro

    m 2

    012-

    13 o

    nwar

    ds a

    re b

    ased

    on

    curr

    ent s

    erie

    s 201

    1-12

    =10

    0 an

    d ea

    rlier

    dat

    a ar

    e ba

    sed

    on o

    ld b

    ase

    year

    s.

    d:

    T

    he fi

    gure

    s fro

    m 2

    009-

    10 o

    nwar

    ds a

    re b

    ased

    on

    curr

    ent s

    erie

    s 200

    1=10

    0 an

    d ea

    rlier

    dat

    a ar

    e ba

    sed

    on o

    ld b

    ase

    year

    s.

    e:

    4t

    h A

    dvan

    ce E

    stim

    ates

    .

    f:

    Out

    lays a

    re o

    nly

    of th

    e C

    entre

    as O

    utlay

    s of

    Stat

    e &

    UTs

    are

    Not

    Ava

    ilabl

    e fr

    om 2

    014-

    15 o

    nwar

    ds.

    g:

    A

    s on

    end-

    Mar

    ch.

    h:

    Rela

    tes t

    o m

    id-fi

    nanc

    ial y

    ear (

    as o

    n O

    ctob

    er 1

    ) bas

    ed o

    n po

    pula

    tion

    figur

    es o

    f C.

    S.O

    .

    i:

    For c

    alen

    dar y

    ear.

    Figu

    re sh

    own

    agai

    nst 1

    990-

    91 is

    for c

    alen

    dar y

    ear 1

    991

    and

    so o

    n. S

    ourc

    e: O

    ffice

    of

    R.G

    .I.

    j:

    D

    ata

    for 1

    950-

    51, 1

    960-

    61, 1

    970-

    71 a

    nd 1

    980-

    81 re

    late

    to th

    e de

    cade

    s 194

    1-50

    , 195

    1-60

    , 196

    1-70

    and

    197

    1-80

    resp

    ectiv

    ely,

    cent

    ered

    at m

    idpo

    ints

    of

    the

    deca

    de, i

    .e., 1

    946,

    19

    56, 1

    966

    and

    1976

    . The

    est

    imat

    es fo

    r 199

    0-91

    refe

    r to

    the

    perio

    d 19

    88-9

    2 an

    d so

    on.

    E

    stim

    ates

    for 2

    010-

    11 re

    fers

    to a

    brid

    ged

    life

    tabl

    e of

    per

    iod

    2008

    -12,

    201

    1-12

    refe

    rs to

    200

    9-13

    , 201

    2-13

    refe

    rs to

    201

    0-14

    and

    201

    3-14

    refe

    rs to

    201

    1-15

    .

    k:

    Est

    imat

    es fr

    om S

    ampl

    e Re

    gist

    ratio

    n Sy

    stem

    and

    SRS

    Sta

    tistic

    al R

    epor

    t, O

    ffice

    of

    RGI.

    l:

    Dat

    a fo

    r 195

    0-51

    , 196

    0-61

    , 197

    0-71

    , 198

    0-81

    , 199

    0-91

    and

    200

    0-01

    are

    as p

    er C

    ensu

    s of

    Indi

    a 1

    951,

    1961

    , 197

    1, 1

    981,

    199

    1 an

    d 20

    01. T

    he fi

    gure

    s for

    195

    1 19

    61 a

    nd 1

    971

    rela

    te to

    pop

    ulat

    ion

    aged

    5 y

    ears

    and

    abo

    ve a

    nd th

    ose

    for 1

    981,

    199

    1, 2

    001

    and

    2011

    to p

    opul

    atio

    n ag

    ed 7

    yea

    rs a

    nd a

    bove

    . All

    Indi

    a lit

    erac

    y ra

    tes e

    xclu

    de A

    ssam

    for 1

    981

    and

    J&K

    for 1

    991.

    Sour

    ce: M

    inist

    ry o

    f Fi

    nanc

    e, D

    epar

    tmen

    t of

    Com

    mer

    ce, C

    SO a

    nd R

    BI.

  • 13Socio-Economic IndicatorsTa

    ble

    2.2:

    Pop

    ulat

    ion

    and

    Gro

    wth

    Rat

    e - 2

    011

    Sl. N

    o.St

    ates

    / U

    Ts

    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)

    Indi

    a62

    3,27

    0,25

    858

    7,58

    4,71

    91,

    210,

    854,

    977

    21.5

    417

    .72

    1Ja

    mm

    u &

    Kas

    hmir

    6,64

    0,66

    25,

    900,

    640

    12,5

    41,3

    0229

    .43

    23.6

    4

    2H

    imac

    hal P

    rade

    sh

    3,48

    1,87

    33,

    382,

    729

    6,86

    4,60

    217

    .54

    12.9

    4

    3Pu

    njab

    14,6

    39,4

    6513

    ,103

    ,873

    27,7

    43,3

    3820

    .10

    13.8

    9

    4C

    hand

    igar

    h 58

    0,66

    347

    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

    (Con

    td.)

  • 14 Agricultural Statistics at a Glance 2017

    Sl. N

    o.St

    ates

    / U

    Ts

    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.

    86

    Sour

    ce: R

    egist

    rar G

    ener

    al o

    f In

    dia.

  • 15Socio-Economic IndicatorsTa

    ble

    2.3(

    a):

    Popu

    latio

    n an

    d A

    gric

    ultu

    ral W

    orke

    rs(I

    n M

    illio

    n)

    Year

    Tota

    lPo

    pula

    tion

    Aver

    age

    Ann

    ual E

    xpon

    entia

    l G

    row

    th R

    ate

    (%)

    Rura

    lPo

    pula

    tion

    Tota

    l Wor

    kers

    Agr

    icul

    tura

    l Wor

    kers

    Cul

    tivat

    ors

    Agr

    icul

    tura

    l 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

    (6

    9.7)

    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

    1.9

    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 In

    dia.

    Note

    s : 1

    . For

    200

    1, fi

    gure

    s inc

    lude

    est

    imat

    ed fi

    gure

    s for

    thos

    e of

    the

    thre

    e su

    b-di

    visio

    ns v

    iz. M

    ao M

    aram

    , Pao

    mat

    a an

    d Pu

    rul o

    f Se

    napa

    ti di

    stric

    t of

    Man

    ipur

    as c

    ensu

    s res

    ults

    of

    2001

    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.

    The

    199

    1 C

    ensu

    s cou

    ld n

    ot b

    e he

    ld o

    win

    g to

    dist

    urbe

    d co

    nditi

    ons p

    reva

    iling

    in Ja

    mm

    u &

    Kas

    hmir.

    Hen

    ce th

    e po

    pula

    tion

    figur

    es fo

    r 199

    1 of

    Jam

    mu

    & K

    ashm

    ir ha

    ve b

    een

    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. T

    he 1

    981

    cens

    us c

    ould

    not

    be

    held

    in A

    ssam

    . The

    figu

    res f

    or 1

    981

    for A

    ssam

    hav

    e be

    en w

    orke

    d ou

    t by

    inte

    rpol

    atio

    n. T

    he d

    ata

    on w

    orke

    rs in

    Col

    . 5-7

    exc

    lude

    Ass

    am.

    4.

    Fig

    ures

    with

    in p

    aren

    thes

    es in

    Col

    .-4 a

    re p

    erce

    ntag

    es to

    the

    Tota

    l Pop

    ulat

    ion.

    5.

    Fig

    ures

    with

    in p

    aren

    thes

    es in

    Col

    .-6 a

    nd 7

    are

    per

    cent

    ages

    to C

    ol.-8

    .

    6.

    Fig

    ures

    with

    in p

    aren

    thes

    es in

    Col

    .-8 is

    per

    cent

    age

    shar

    e of

    Agr

    icul

    tura

    l Wor

    kers

    in T

    otal

    Wor

    kers

    .

  • 16 Agricultural Statistics at a Glance 2017Ta

    ble

    2.3(

    b) S

    tate

    wise

    Cla

    ssifi

    catio

    n of

    Wor

    kers

    -201

    1

    Stat

    es\U

    TsTo

    tal/

    Urb

    an/

    Rura

    l

    Tota

    l Po

    pula

    tion

    Tota

    l W

    orki

    ng

    Popu

    latio

    n

    Tota

    l Mai

    n W

    orke

    rsTo

    tal

    Mar

    gina

    l W

    orke

    rs

    Tota

    l Non

    W

    orke

    rsM

    ale

    Popu

    latio

    nM

    ale

    Wor

    king

    Po

    pula

    tion

    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)

    (10)

    (11)

    (12)

    (13)

    Indi

    aTo

    tal

    1210

    8549

    7748

    1888

    868

    3625

    6557

    111

    9323

    297

    7289

    6610

    962

    3270

    258

    3319

    3987

    527

    3209

    976

    5875

    8471

    914

    9948

    993

    8935

    5595

    Rur

    al83

    3748

    852

    3487

    4309

    224

    5868

    421

    1028

    7467

    148

    5005

    760

    4277

    8105

    822

    6837

    013

    1780

    9533

    040

    5967

    794

    1219

    0607

    967

    7730

    91U

    rban

    3771

    0612

    513

    3145

    776

    1166

    9715

    016

    4486

    2624

    3960

    349

    1954

    8920

    010

    5102

    862

    9511

    4646

    1816

    1692

    528

    0429

    1421

    5825

    04Ja

    mm

    u &

    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

    57

    Urb

    an34

    3324

    212

    0963

    297

    4335

    2352

    9722

    2361

    018

    6618

    598

    3084

    8526

    3115

    6705

    722

    6548

    1217

    04

    Him

    acha

    l Pra

    desh

    Tota

    l68

    6460

    235

    5942

    220

    6250

    114

    9692

    133

    0518

    034

    8187

    320

    4337

    314

    3898

    933

    8272

    915

    1604

    962

    3512

    Rura

    l61

    7605

    032

    8938

    418

    2210

    914

    6727

    528

    8666

    631

    1034

    518

    3635

    812

    4787

    430

    6570

    514

    5302

    657

    4235

    Urb

    an68

    8552

    2700

    3824

    0392

    2964

    641

    8514

    3715

    2820

    7015

    1911

    1531

    7024

    6302

    349

    277

    Punj

    abTo

    tal

    2774

    3338

    9897

    362

    8450

    936

    1446

    426

    1784

    5976

    1463

    9465

    8074

    157

    7264

    631

    1310

    3873

    1823

    205

    1186

    305

    Rura

    l17

    3441

    9261

    7919

    951

    0702

    410

    7217

    511

    1649

    9390

    9347

    649

    9581

    944

    1783

    982

    5071

    611

    8338

    068

    9185

    Urb

    an10

    3991

    4637

    1816

    333

    4391

    237

    4251

    6680

    983

    5545

    989

    3078

    338

    2846

    792

    4853

    157

    6398

    2549

    7120

    Cha

    ndig

    arh

    Tota

    l10

    5545

    040

    4136

    3859

    2918

    207

    6513

    1458

    0663

    3281

    5931

    7190

    4747

    8775

    977

    6873

    9

    Rura

    l28

    991

    1235

    011

    683

    667

    1664

    117

    150

    1066

    410

    356

    1184

    116

    8613

    27

    Urb

    an10

    2645

    939

    1786

    3742

    4617

    540

    6346

    7356

    3513

    3174

    9530

    6834

    4629

    4674

    291

    6741

    2

    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

    09

    Urb

    an30

    4933

    898

    6742

    8732

    9211

    3450

    2062

    596

    1618

    731

    8252

    4774

    8237

    1430

    607

    1614

    9512

    5055

    Har

    yana

    Tota

    l25

    3514

    6289

    1650

    870

    1528

    319

    0122

    516

    4349

    5413

    4947

    3468

    0663

    658

    6060

    011

    8567

    2821

    0987

    211

    5468

    3

    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

    (Con

    td.)

  • 17Socio-Economic Indicators

    Stat

    es\U

    TsTo

    tal/

    Urb

    an/

    Rura

    l

    Tota

    l Po

    pula

    tion

    Tota

    l W

    orki

    ng

    Popu

    latio

    n

    Tota

    l Mai

    n W

    orke

    rsTo

    tal

    Mar

    gina

    l W

    orke

    rs

    Tota

    l Non

    W

    orke

    rsM

    ale

    Popu

    latio

    nM

    ale

    Wor

    king

    Po

    pula

    tion

    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)

    (10)

    (11)

    (12)

    (13)

    Del

    hiTo

    tal

    1678

    7941

    5587

    049

    5307

    329

    2797

    2011

    2008

    9289

    8732

    647

    6202

    645

    6271

    078

    0061

    582

    5023

    7446

    19

    Rura

    l41

    9042

    1302

    2711

    8510

    1171

    728

    8815

    2263

    2111

    1500

    1035

    6819

    2721

    1872

    714

    942

    U

    rban

    1636

    8899

    5456

    822

    5188

    819

    2680

    0310

    9120

    7787

    6100

    546

    5052

    644

    5914

    276

    0789

    480

    6296

    Raja

    stha

    nTo

    tal

    6854

    8437

    2988

    6255

    2105

    7968

    8828

    287

    3866

    2182

    3555

    0997

    1829

    7076

    1524

    3537

    3299

    7440

    1158

    9179

    5814

    431

    Rura

    l51

    5003

    5224

    3852

    3316

    1733

    4382

    1189

    027

    1151

    1926

    6417

    4713

    7754

    6911

    0698

    3724

    8586

    0510

    6097

    6451

    0350

    6

    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

    0

    Urb

    an44

    4950

    6313

    8637

    3511

    0966

    7527

    6706

    030

    6313

    2823

    4875

    1511

    4938

    8396

    0795

    221

    0075

    4823

    6985

    214

    8872

    3

    Biha

    rTo

    tal

    1040

    9945

    234

    7249

    8721

    3596

    1113

    3653

    7669

    3744

    6554

    2781

    5725

    2221

    8917

    2706

    9049

    8212

    9595

    0279

    840

    8892

    1

    Rura

    l92

    3414

    3631

    3597

    6718

    7239

    6612

    6358

    0160

    9816

    6948

    0738

    5022

    4366

    8514

    9880

    8044

    2675

    8689

    2308

    237

    3588

    6

    Urb

    an11

    7580

    1633

    6522

    026

    3564

    572

    9575

    8392

    796

    6204

    307

    2785

    504

    2282

    610

    5553

    709

    5797

    1635

    3035

    Sikk

    imTo

    tal

    6105

    7730

    8138

    2303

    9777

    741

    3024

    3932

    3070

    1943

    5816

    0513

    2875

    0711

    3780

    6988

    4

    Rura

    l45

    6999

    2437

    8517

    3682

    7010

    321

    3214

    2427

    9714

    8186

    1190

    1421

    4202

    9559

    954

    668

    Urb

    an15

    3578

    6435

    356

    715

    7638

    8922

    580

    273

    4617

    241

    499

    7330

    518

    181

    1521

    6

    Aru

    nach

    al P

    rade

    shTo

    tal

    1383

    727

    5876

    5747

    8721

    1089

    3679

    6070

    7139

    1235

    0273

    3011

    0966

    9815

    2373

    8417

    7612

    Rura

    l10

    6635

    847

    0315

    3773

    8892

    927

    5960

    4354

    6011

    2647

    9022

    3929

    5203

    4720

    5525

    1534

    59

    Urb

    an31

    7369

    1173

    4210

    1333

    1600

    920

    0027

    1679

    0185

    483

    7718

    014

    9468

    3185

    924

    153

    Nag

    alan

    dTo

    tal

    1978

    502

    9741

    2274

    1179

    2329

    4310

    0438

    010

    2464

    954

    7357

    4422

    0495

    3853

    4267

    6529

    8975

    Rura

    l14

    0753

    676

    0360

    5676

    7419

    2686

    6471

    7672

    5472

    4039

    1231

    6384

    6820

    6435

    6448

    2512

    90

    Urb

    an57

    0966

    2137

    6217

    3505

    4025

    735

    7204

    2991

    7714

    3445

    1258

    2027

    1789

    7031

    747

    685

    (Con

    td.)

  • 18 Agricultural Statistics at a Glance 2017

    Stat

    es\U

    TsTo

    tal/

    Urb

    an/

    Rura

    l

    Tota

    l Po

    pula

    tion

    Tota

    l W

    orki

    ng

    Popu

    latio

    n

    Tota

    l Mai

    n W

    orke

    rsTo

    tal

    Mar

    gina

    l W

    orke

    rs

    Tota

    l Non

    W

    orke

    rsM

    ale

    Popu

    latio

    nM

    ale

    Wor

    king

    Po

    pula

    tion

    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)

    (10)

    (11)

    (12)

    (13)

    Man

    ipur

    Tota

    l28

    5579

    413

    0461

    097

    4163

    3304

    4715

    5118

    414

    3858

    673

    9408

    6151

    3514

    1720

    856

    5202

    3590

    28Ru

    ral

    2021

    640

    9591

    6171

    3482

    2456

    7910

    6247

    910

    2688

    453

    4085

    4424

    8299

    4756

    4250

    7627

    1000

    Urb

    an83

    4154

    3454

    4926

    0681

    8476

    848

    8705

    4117

    0220

    5323

    1726

    5342

    2452

    1401

    2688

    028

    Miz

    oram

    Tota

    l10

    9720

    648

    6705

    4150

    3071

    675

    6105

    0155

    5339

    2907

    4026

    3305

    5418

    6719

    5965

    1517

    25Ru

    ral

    5254

    3525

    2382

    2178

    2434

    558

    2730

    5326

    9135

    1450

    9113

    4888

    2563

    0010

    7291

    8293

    6U

    rban

    5717

    7123

    4323

    1972

    0637

    117

    3374

    4828

    6204

    1456

    4912

    8417

    2855

    6788

    674

    6878

    9Tr

    ipur

    aTo

    tal

    3673

    917

    1469

    521

    1077

    019

    3925

    0222

    0439

    618

    7437

    610

    4532

    688

    7881

    1799

    541

    4241

    9518

    9138

    Rura

    l27

    1246

    411

    1607

    677

    6583

    3394

    9315

    9638

    813

    8717

    376

    7767

    6370

    2313

    2529

    134

    8309

    1395

    60U

    rban

    9614

    5335

    3445

    3004

    3653

    009

    6080

    0848

    7203

    2775

    5925

    0858

    4742

    5075

    886

    4957

    8M

    egha

    laya

    Tota

    l29

    6688

    911

    8561

    992

    1575

    2640

    4417

    8127

    014

    9183

    270

    3709

    5855

    2014

    7505

    748

    1910

    3360

    55Ru

    ral

    2371

    439

    9734

    5873

    0959

    2424

    9913

    9798

    111

    9426

    056

    1812

    4554

    3011

    7717

    941

    1646

    2755

    29

    Urb

    an59

    5450

    2121

    6119

    0616

    2154

    538

    3289

    2975

    7214

    1897

    1300

    9029

    7878

    7026

    460

    526

    Ass

    amTo

    tal

    3120

    5576

    1196

    9690

    8687

    123

    3282

    567

    1923

    5886

    1593

    9443

    8541

    560

    7034

    642

    1526

    6133

    3428

    130

    1652

    481

    Rura

    l26

    8070

    3410

    3682

    8373

    1101

    530

    5726

    816

    4387

    5113

    6789

    8972

    5785

    258

    8017

    413

    1280

    4531

    1043

    114

    3084

    1U

    rban

    4398

    542

    1601

    407

    1376

    108

    2252

    9927

    9713

    522

    6045

    412

    8370

    811

    5446

    821

    3808

    831

    7699

    2216

    40W

    est B

    enga

    lTo

    tal

    9127

    6115

    3475

    6355

    2568

    6630

    9069

    725

    5651

    9760

    4680

    9027

    2671

    6047

    2167

    8279

    4446

    7088

    8040

    308

    4008

    351

    Rura

    l62

    1831

    1324

    0824

    8116

    4894

    8575

    9299

    638

    1006

    3231

    8449

    4518

    2111

    8014

    0199

    1530

    3381

    6858

    7130

    124

    6957

    0U

    rban

    2909

    3002

    1067

    3874

    9197

    145

    1476

    729

    1841

    9128

    1496

    4082

    8504

    867

    7658

    364

    1412

    8920

    2169

    007

    1538

    781

    Jhar

    khan

    dTo

    tal

    3298

    8134

    1309

    8274

    6818

    595

    6279

    679

    1988

    9860

    1693

    0315

    8424

    769

    5234

    442

    1605

    7819

    4673

    505

    1584

    153

    Rura

    l25

    0550

    7310

    7771

    5248

    8684

    058

    9031

    214

    2779

    2112

    7764

    8664

    8414

    235

    6342

    212

    2785

    8742

    9301

    013

    2341

    8U

    rban

    7933

    061

    2321

    122

    1931

    755

    3893

    6756

    1193

    941

    5382

    919

    4062

    716

    7102

    037

    7923

    238

    0495

    2607

    35

    (Con

    td.)

  • 19Socio-Economic Indicators

    Stat

    es\U

    TsTo