Data Dictionary

Additional Information

Field	Value
Data last updated	March 13, 2024
Metadata last updated	September 12, 2024
Created	August 11, 2023
Format	CSV
License	Open Data Commons Attribution License
Additional info	Foodgrains = All Cereals + All Pulses;Food crops = Foodgrains + Sugar crops + Spices + Fruits + Vegetables + Other food crops;Non-food crops = Oilseeds + Fibres + Fodder crops + Other non-food crops;Gross cropped area = Total area of Food crops + Total area of Non-food crops;Intensity of cropping = Gross cropped area / Net area sownsoc_grp codes Institutional: 1 Others: 2 Scheduled Caste: 3 Scheduled Tribe: 4 All Social Group: 5size_class - codesAll Classes - 111Marginal - 1Small- 2SemiMedium- 3Medium- 4Large- 5Below 0.5 - 11(0.5-1.0) - 12(1.0-2.0) - 21(2.0-3.0) - 31(3.0-4.0) - 32(4.0-5.0) - 41(5.0-7.5)- 42(7.5-10.0)- 43(10.0-20.0)- 5120 & Above- 52
Data extraction page	http://agcensus.dacnet.nic.in/nationalcharacteristic.aspx
Data insights	From these datasets many insights can be drawn, We can analyze trends, changes, and patterns in crop-related metrics over different years. We can analyze the distribution of crops across other states. We can analyze how different social groups and farm sizes are associated with specific crops and their areas. We can analyze the distribution of irrigated and unirrigated areas across states. We can use this data to analyze the number of holdings associated with different crops and their sizes. We can compare other states based on their irrigated, unirrigated, and total agricultural areas and the number of holdings for specific crops.
Data last updated	2021 - August
Data retreival date	2020 - August
Datastore active	True
Frequency	Quinquennially
Granularity	State
Has views	True
Id	084df952-c5d0-4e69-9cd0-08cf575dd3de
Idp ready	True
Lgd mapping	yes
Methodology	In States having comprehensive land records, information was collected on complete enumeration basis for all villages by retabulation method from the land records in respect of data on number and area of operational holdings. For collection of data on other characteristics, namely, tenure and tenancy, leased in area, land use, irrigation, area under different crops, etc., 20 percent of the villages selected randomly from each tehsil constituted the basis. In these 20 percent villages, information All India Report on Agriculture Census 2010-11 17 relating to the above characteristics were compiled from the relevant Khatauni and Khasra registers in respect of all the resident cultivators. Resident cultivators of urban areas were also covered. These 20 percent villages were the same as selected under TRS In most of the States in India, a fairly comprehensive system of land records consisting of various village forms and registers giving detailed information, on land and its utilisation exists. The current Agricultural statistics, particularly those in respect of cropwise area of individual fields, are collected and cropwise abstracts prepared for the village as a whole for each cropping season. These data are then aggregated at successive levels like Patwari circle to revenue inspector circle, to tehsil, district, State and all-India levels. In Agriculture Census, the data available in the village land records, is required to be retabulated for generating information on the holdings. The procedure adopted for retabulation of data in States where retabulation approach is adopted, differs from State to State depending on the land records system followed. By and large, the Patwari consults the Khasra register and notes down the name of the cultivator against each Khasra number and places together the survey number/sub-survey numbers cultivated by the same cultivator. Some of the other existing land records like Khatauni are also used in preparing the list of cultivators. The names of cultivators not owning but operating the land are added with the help of Khasra register.
No indicators	4
Package id	1fc3baed-d201-4d8e-8b2f-f1544eb1af0b
Position	1
Similar resources	82e88c1c-873a-4693-8b70-79148fea8add,6bed2ae6-67b6-4358-bbb0-fe808c170770,d1706e6e-ed37-44f5-90d8-15dd6f02b853,be94d845-cac8-472d-9451-310dd1903573,3f4bea5f-3ccc-443c-8a86-7e44ac3efd79,43475194-8e27-454a-a029-964bc006f6c2,fc36784f-6f8c-44d0-b8bb-6bdaa593989f
Size	22.1 MiB
Sku	moafw-agcensus_crop-st-qq-dyb
State	active
States uts no	35
Url type	upload
Years covered	2010-11, 2015-16
Methodology	In States having comprehensive land records, information was collected on complete enumeration basis for all villages by retabulation method from the land records in respect of data on number and area of operational holdings. For collection of data on other characteristics, namely, tenure and tenancy, leased in area, land use, irrigation, area under different crops, etc., 20 percent of the villages selected randomly from each tehsil constituted the basis. In these 20 percent villages, information All India Report on Agriculture Census 2010-11 17 relating to the above characteristics were compiled from the relevant Khatauni and Khasra registers in respect of all the resident cultivators. Resident cultivators of urban areas were also covered. These 20 percent villages were the same as selected under TRS In most of the States in India, a fairly comprehensive system of land records consisting of various village forms and registers giving detailed information, on land and its utilisation exists. The current Agricultural statistics, particularly those in respect of cropwise area of individual fields, are collected and cropwise abstracts prepared for the village as a whole for each cropping season. These data are then aggregated at successive levels like Patwari circle to revenue inspector circle, to tehsil, district, State and all-India levels. In Agriculture Census, the data available in the village land records, is required to be retabulated for generating information on the holdings. The procedure adopted for retabulation of data in States where retabulation approach is adopted, differs from State to State depending on the land records system followed. By and large, the Patwari consults the Khasra register and notes down the name of the cultivator against each Khasra number and places together the survey number/sub-survey numbers cultivated by the same cultivator. Some of the other existing land records like Khatauni are also used in preparing the list of cultivators. The names of cultivators not owning but operating the land are added with the help of Khasra register.
Indicators	[]
Similar Resources	Agricultural Wages Input Survey - Non Crop Input Survey - Composite State Level PMFBY
Granularity Level	State
Data Extraction Page	http://agcensus.dacnet.nic.in/nationalcharacteristic.aspx
Data Retreival Date	2020 - August
Data Last Updated	2021 - August
Sku	moafw-agcensus_crop-st-qq-dyb
Dataset Frequency	Quinquennially
Years Covered	2010-11, 2015-16
No of States/UT(s)	35
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information	Foodgrains = All Cereals + All Pulses;Food crops = Foodgrains + Sugar crops + Spices + Fruits + Vegetables + Other food crops;Non-food crops = Oilseeds + Fibres + Fodder crops + Other non-food crops;Gross cropped area = Total area of Food crops + Total area of Non-food crops;Intensity of cropping = Gross cropped area / Net area sownsoc_grp codes Institutional: 1 Others: 2 Scheduled Caste: 3 Scheduled Tribe: 4 All Social Group: 5size_class - codesAll Classes - 111Marginal - 1Small- 2SemiMedium- 3Medium- 4Large- 5Below 0.5 - 11(0.5-1.0) - 12(1.0-2.0) - 21(2.0-3.0) - 31(3.0-4.0) - 32(4.0-5.0) - 41(5.0-7.5)- 42(7.5-10.0)- 43(10.0-20.0)- 5120 & Above- 52
Number of Indicators	4
Insights from the dataset	From these datasets many insights can be drawn, We can analyze trends, changes, and patterns in crop-related metrics over different years. We can analyze the distribution of crops across other states. We can analyze how different social groups and farm sizes are associated with specific crops and their areas. We can analyze the distribution of irrigated and unirrigated areas across states. We can use this data to analyze the number of holdings associated with different crops and their sizes. We can compare other states based on their irrigated, unirrigated, and total agricultural areas and the number of holdings for specific crops.
IDP Ready	Yes
LGD Mapping	Yes