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Agricultural Statistics at a Glance 2015
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Agricultural Statistics at a Glance 2015
Government of IndiaMinistry of Agriculture & Farmers Welfare
Department of Agriculture, Cooperation & Farmers WelfareDirectorate of Economics and Statistics
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© 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
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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)
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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/
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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
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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.
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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
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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
Eco
nom
ic I
ndic
ator
s19
50-5
119
60-6
119
70-7
119
80-8
119
90-9
120
00-0
120
10-1
120
11-1
220
12-1
320
13-1
420
14-1
5(1
)(2
)(3
)(4
)(5
)(6
)(7
)(8
)(9
)(1
0) (1
1) (
12)
Ec
on
om
Ic I
nd
Ica
to
rs
GVA
at f
acto
r cos
t a(a
t cur
rent
pric
es in
` c
rore
)10
036
1704
944
382
1368
3853
1814
2000
743
7248
860
8195
546N
S92
5205
1NS
1047
7139
NS
1155
0240
A
E
GVA
at f
acto
r cos
t a(a
t con
stan
t pric
es in
` c
rore
)27
9618
4102
7958
9787
7985
0613
4788
923
4848
149
1853
381
9554
6NS
8599
224N
S91
6978
7NS
9827
089 AE
Per c
apita
Net
Nat
iona
l Inc
ome
at
fact
or c
ost a
t con
stan
t pric
es (
`)71
1488
8910
016
1071
214
330
2036
236
202
6431
6NS
6634
4NS
6995
9NS
7410
4 A
E
Gro
ss D
omes
tic C
apita
l For
mat
ion
as p
erce
ntag
e of
GD
P (a
t cur
rent
m
arke
t pric
es)
9.3
14.3
15.1
19.2
26.0
24.4
36.5
38.2
36.6
32.3
na
Gro
ss d
omes
tic sa
ving
s as
perc
enta
ge o
f G
DP
(at c
urre
nt
mar
ket p
rices
)
9.5
11.6
14.3
17.8
22.9
23.8
33.7
33.9
31.8
30.6
na
Inde
x of
agr
icul
tura
l pro
duct
ion
[b
ase:
Trie
nniu
m e
ndin
g 19
81-8
2]
for t
he d
ata
give
n til
l 200
0-01
and
ba
se i.
e. en
ding
200
7-08
from
20
09-1
0 on
war
ds
46.2
68.8
85.9
102.
114
8.4
165.
712
1.0
125.
212
4.2
129.
612
3.9
Inde
x of
indu
stria
l pro
duct
ion
(Bas
e: 2
004-
05=
100)
b7.
915
.628
.143
.191
.616
2.6
165.
517
0.3
172.
217
2.0
174.
9
Who
lesa
le P
rice
Inde
x av
erag
ec6.
87.
914
.336
.873
.715
5.7
143.
315
6.1
167.
617
7.6
181.
2C
onsu
mer
Pric
e In
dex
for
Indu
stria
l wor
kers
d17
021
.038
.081
.019
3.0
444.
018
0.0
195.
021
5.0
236.
025
1.0
oU
tPU
t(a
) Foo
dgra
ins [
mill
on to
nnes
]50
.882
.010
8.4
129.
617
6.4
196.
824
4.5
259.
325
7.1
265.
025
2.68
e
(b) C
oal a
nd L
igni
te [m
illon
tonn
es]
32.3
55.2
76.3
119.
022
5.5
332.
657
0.4
582.
360
2.9
610.
045
9.4f
tabl
e: 2
.1 S
elec
ted
Eco
nom
ic a
nd S
ocia
l Ind
icat
ors
(Con
td.)
-
Socio-Economic Indicators 11
tabl
e: 2
.1 S
elec
ted
Eco
nom
ic a
nd S
ocia
l Ind
icat
ors
Eco
nom
ic I
ndic
ator
s19
50-5
119
60-6
119
70-7
119
80-8
119
90-9
120
00-0
120
10-1
120
11-1
220
12-1
320
13-1
420
14-1
5(1
)(2
)(3
)(4
)(5
)(6
)(7
)(8
)(9
)(1
0) (1
1) (
12)
(c) C
rude
Oil
[mill
on to
nnes
]0.
30.
56.
810
.533
.032
.437
.738
.137
.937
.828
.2f
(d) E
lect
ricity
Gen
erat
ed
[util
ities
onl
y] [b
illon
KW
H]
5.0
17.0
56.0
121.
026
4.0
500.
084
5.0
923.
096
4.5
1014
.874
1.4f
Plan
out
lay (
` c
rore
)26
0111
1725
2415
023
5836
918
5737
8262
6893
6292
9719
5112
8102
2 (R
E)48
4533
(B
E)g
For
EIG
n t
ra
dE
(i) E
xpor
ts (
` C
rore
)60
664
215
3567
1132
553
2035
7111
3696
414
6595
916
3431
819
0501
118
9702
6h
(US
$ m
illio
n)12
6913
4620
3184
8618
143
4407
625
1136
3059
6430
0401
3144
0531
0533
.9h
(ii) I
mpo
rts (
` C
rore
)60
811
2216
3412
549
4319
823
0873
1683
467
2345
463
2669
162
2715
434
2734
049h
(US
$ m
illio
n)12
7323
5321
6215
869
2407
549
975
3697
6948
9319
4907
3745
0200
4475
48.3
h
Fore
ign
exch
ange
rese
rves
i [e
xclu
ding
gol
d, S
DRs
and
Rev
erse
Tr
anch
e Po
sitio
n at
IMF]
(` C
rore
)
911
186
438
4822
4388
1844
8212
2488
313
3051
114
1263
116
6091
419
8545
8
(US
$ m
illio
n)19
1439
058
458
5022
3639
554
2743
3026
0069
2597
2627
6359
3173
23
soc
IaL
Ind
Ica
to
rs
Popu
latio
n (M
illio
n)j
361
439.
254
8.2
683.
384
6.4
1028
.711
86.0
1220
.012
35.0
1251
.012
67.0
Birt
h Ra
te (p
er 1
000)
k39
.941
.736
.933
.929
.525
.421
.8na
21.4
mna
na
Dea
th R
ate
(per
100
0)k
27.4
22.8
14.9
12.5
9.8
8.4
7.1
na7.
0mna
na
Life
Exp
ecta
ncy
at B
irth
(in Y
ears
)l32
.141
.345
.650
.458
.762
.566
.1n
na67
.5m
nana
(a) M
ale
32.5
41.9
46.4
50.9
58.6
61.6
64.6
nna
65.8
mna
na
(b) F
emal
e31
.740
.644
.750
.059
.063
.367
.6n
na69
.3m
nana
Edu
catio
n: L
itera
cy R
ate
(%)o
18.3
28.3
34.4
43.6
52.2
64.8
74.0
4na
nana
na
(a) M
ale
27.2
40.4
46.0
56.4
64.1
75.3
82.1
4na
nana
na
(b) F
emal
e8.
915
.422
.029
.839
.353
.765
.46
nana
nana
Tabl
e: 2
.1 (C
ontd
.)
(Con
td.)
-
12 Agricultural Statistics at a glance 2015
Tabl
e: 2
.1 (C
ontd
.)
Sour
ce: M
inist
ry o
f Fi
nanc
e, C
SO a
nd R
BI.
BE: B
udge
t Est
imat
e, RE
: Rev
ised
Est
imat
e, A
E: A
dvan
ce E
stim
ate
na: N
ot a
vaila
ble,
NS:
New
Ser
ies E
stim
ates
a: G
VA a
t fac
tor c
ost e
stim
ates
prio
r to
2011
-12
are
base
d on
200
4-05
serie
s. E
stim
ates
from
Yea
r 201
1-12
onw
ards
(with
Bas
e 20
11-1
2) a
re a
vaila
ble
at b
asic
pric
es o
nly.
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
d da
ta fo
r 201
4-15
.i:
As o
n en
d-M
arch
.j:Relatestomid-financialyear(asonOctober1)basedonpopulationfiguresofC.S.O.
k:Forcalendaryear.Figureshownagainst1990-91isforcalendaryear1991andsoon.Source:OfficeofR.G.I.
l 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.
Est
imat
es fo
r 201
2-13
refe
r to
2009
-13.
m:EstimatesfromSampleRegistrationSystemandSRSStatisticalReport,OfficeofRG
I.n:
Abr
idge
d Li
fe T
able
200
2-06
, Reg
istra
r Gen
eral
of
Indi
ao:Datafor1950-51,1960-61,1970-71,1980-81,1990-91and2000-01areasperCensusofIndia1951,1961,1971,1981,1991and2001.Thefiguresfor19511961and1971
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.
-
Socio-Economic Indicators 13
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)
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
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
rban
4449
5063
1386
3735
1109
6675
2767
060
3063
1328
2348
7515
1149
3883
9607
952
2100
7548
2369
852
1488
723
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
1Ru
ral
9234
1436
3135
9767
1872
3966
1263
5801
6098
1669
4807
3850
2243
6685
1498
8080
4426
7586
8923
082
3735
886
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
4Ru
ral
4569
9924
3785
1736
8270
103
2132
1424
2797
1481
8611
9014
2142
0295
599
5466
8U
rban
1535
7864
353
5671
576
3889
225
8027
346
172
4149
973
305
1818
115
216
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
59U
rban
3173
6911
7342
1013
3316
009
2000
2716
7901
8548
377
180
1494
6831
859
2415
3N
agal
and
Tota
l19
7850
297
4122
7411
7923
2943
1004
380
1024
649
5473
5744
2204
9538
5342
6765
2989
75Ru
ral
1407
536
7603
6056
7674
1926
8664
7176
7254
7240
3912
3163
8468
2064
3564
4825
1290
Urb
an57
0966
2137
6217
3505
4025
735
7204
2991
7714
3445
1258
2027
1789
7031
747
685
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
9(C
ontd
.)
Tabl
e 2.
3(b)
(Con
td.)
-
18 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)Tr
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
29U
rban
5954
5021
2161
1906
1621
545
3832
8929
7572
1418
9713
0090
2978
7870
264
6052
6A
ssam
Tota
l31
2055
7611
9696
9086
8712
332
8256
719
2358
8615
9394
4385
4156
070
3464
215
2661
3334
2813
016
5248
1Ru
ral
2680
7034
1036
8283
7311
015
3057
268
1643
8751
1367
8989
7257
852
5880
174
1312
8045
3110
431
1430
841
Urb
an43
9854
216
0140
713
7610
822
5299
2797
135
2260
454
1283
708
1154
468
2138
088
3176
9922
1640
Wes
t Ben
gal
Tota
l91
2761
1534
7563
5525
6866
3090
6972
556
5197
6046
8090
2726
7160
4721
6782
7944
4670
8880
4030
840
0835
1Ru
ral
6218
3113
2408
2481
1648
9485
7592
996
3810
0632
3184
4945
1821
1180
1401
9915
3033
8168
5871
301
2469
570
Urb
an29
0930
0210
6738
7491
9714
514
7672
918
4191
2814
9640
8285
0486
776
5836
414
1289
2021
6900
715
3878
1Jh
arkh
and
Tota
l32
9881
3413
0982
7468
1859
562
7967
919
8898
6016
9303
1584
2476
952
3444
216
0578
1946
7350
515
8415
3Ru
ral
2505
5073
1077
7152
4886
840
5890
312
1427
7921
1277
6486
6484
142
3563
422
1227
8587
4293
010
1323
418
Urb
an79
3306
123
2112
219
3175
538
9367
5611
939
4153
829
1940
627
1671
020
3779
232
3804
9526
0735
Odi
sha
Tota
l41
9742
1817
5415
8910
7075
4368
3404
624
4326
2921
2121
3611
9026
5587
9441
320
7620
8256
3893
419
1313
0Ru
ral
3497
0562
1510
3714
8623
947
6479
767
1986
6848
1758
6203
9941
574
7045
991
1738
4359
5162
140
1577
956
Urb
an70
0365
624
3787
520
8359
635
4279
4565
781
3625
933
1961
081
1748
422
3377
723
4767
9433
5174
Chh
attis
garh
Tota
l25
5451
9812
1802
2582
4171
439
3851
113
3649
7312
8328
9571
3386
655
9745
412
7123
0350
4635
926
4426
0Ru
ral
1960
7961
1006
3114
6365
271
3697
843
9544
847
9797
426
5522
258
4114
031
9810
535
4540
856
2251
240
Urb
an59
3723
721
1711
118
7644
324
0668
3820
126
3035
469
1611
608
1483
423
2901
768
5055
0339
3020
Mad
hya
Prad
esh
Tota
l72
6268
0931
5741
3322
7021
1988
7201
441
0526
7637
6123
0620
1469
7016
3620
6535
0145
0311
4271
6363
4005
4Ru
ral
5255
7404
2471
5198
1672
9558
7985
640
2784
2206
2714
9388
1474
1977
1148
8183
2540
8016
9973
221
5241
375
Urb
an20
0694
0568
5893
559
7256
188
6374
1321
0470
1046
2918
5404
993
4873
882
9606
487
1453
942
1098
679
Tabl
e 2.
3(b)
(Con
td.)
(Con
td.)
-
Socio-Economic Indicators 19
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)G
ujar
atTo
tal
6043
9692
2476
7747
2036
5374
4402
373
3567
1945
3149
1260
1800
0914
1656
7695
2894
8432
6766
833
3797
679
Rura
l34
6946
0915
5700
9211
8781
2036
9197
219
1245
1717
7991
5910
1715
8491
4133
916
8954
5053
9850
827
3678
1U
rban
2574
5083
9197
655
8487
254
7104
0116
5474
2813
6921
0178
2933
074
2635
612
0529
8213
6832
510
6089
8D
aman
& D
iuTo
tal
2432
4712
1271
1164
3548
3612
1976
1503
0110
7434
1046
1492
946
1383
711
821
Rura
l60
396
2330
321
435
1868
3709
332
395
1886
218
131
2800
144
4133
04U
rban
1828
5197
968
9500
029
6884
883
1179
0688
572
8648
364
945
9396
8517
Dad
ra &
Nag
ar
Hav
eli
Tota
l34
3709
1571
6113
0299
2686
218
6548
1937
6011
9293
1091
2514
9949
3786
821
174
Rura
l18
3114
8412
362
211
2191
298
991
9830
555
803
4823
984
809
2832
013
972
Urb
an16
0595
7303
868
088
4950
8755
795
455
6349
060
886
6514
095
4872
02M
ahar
asht
raTo
tal
1123
7433
349
4278
7843
7628
9056
6498
862
9464
5558
2430
5632
6168
7529
9893
1454
1312
7716
8110
0313
7735
76Ru
ral
6155
6074
3065
0871
2651
0066
4140
805
3090
5203
3153
9034
1788
7071
1618
8697
3001
7040
1276
3800
1032
1369
Urb
an50
8182
5918
7770
0717
2528
2415
2418
332
0412
5226
7040
2214
7298
0413
8006
1724
1142
3740
4720
334
5220
7A
ndhr
a Pr
ades
hTo
tal
8458
0777
3942
2906
3303
7378
6385
528
4515
7871
4244
2146
2418
5595
2146
0081
4213
8631
1523
7311
1157
7297
Rura
l56
3617
0229
0523
0724
1429
6849
0933
927
3093
9528
2432
4116
4981
8914
5859
1728
1184
6112
5541
1895
5705
1U
rban
2821
9075
1037
0599
8894
410
1476
189
1784
8476
1419
8905
7687
406
6874
164
1402
0170
2683
193
2020
246
Kar
nata
kaTo
tal
6109
5297
2787
2597
2339
7181
4475
416
3322
2700
3096
6657
1827
0116
1634
9837
3012
8640
9602
481
7047
344
Rura
l37
4693
3518
5022
3015
0609
0534
4132
518
9671
0518
9293
5411
3114
2610
0030
2118
5399
8171
9080
450
5788
4U
rban
2362
5962
9370
367
8336
276
1034
091
1425
5595
1203
7303
6958
690
6346
816
1158
8659
2411
677
1989
460
Goa
Tota
l14
5854
557
7248
4760
5310
1195
8812
9773
9140
4195
3635
6967
7194
0515
7712
1190
86Ru
ral
5517
3121
5536
1645
1951
017
3361
9527
5436
1529
8612
2042
2762
9562
550
4247
7U
rban
9068
1436
1712
3115
3450
178
5451
0246
3704
2665
5023
4925
4431
1095
162
7660
9La
ksha
dwee
pTo
tal
6447
318
753
1080
479
4945
720
3312
315
318
9137
3135
034
3516
67Ru
ral
1414
146
5322
2524
2894
8872
4337
8718
7868
9886
634
7U
rban
5033
214
100
8579
5521
3623
225
880
1153
172
5924
452
2569
1320
Tabl
e 2.
3(b)
(Con
td.)
(Con
td.)
-
20 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)K
eral
aTo
tal
3340
6061
1161
9063
9329
747
2289
316
2178
6998
1602
7412
8451
569
7179
828
1737
8649
3167
494
2149
919
Rura
l17
4711
3563
4195
749
3019
114
1176
611
1291
7884
0805
445
0750
137
4307
890
6308
118
3445
611
8711
3U
rban
1593
4926
5277
106
4399
556
8775
5010
6578
2076
1935
839
4406
834
3675
083
1556
813
3303
896
2806
Tam
il N
adu
Tota
l72
1470
3032
8846
8127
9421
8149
4250
039
2623
4936
13