Dicionário de Dados

ID
id
Tipo
int4
Rótulo
index

ID
year
Tipo
text
Rótulo
Year

ID
state_name
Tipo
text
Rótulo
State Name

ID
state_code
Tipo
text
Rótulo
State Code

ID
district_name
Tipo
text
Rótulo
District Name

ID
district_code
Tipo
text
Rótulo
District Code

ID
crop_name
Tipo
text
Rótulo
Crop Name

ID
crop_code
Tipo
numeric
Rótulo
Crop Code

ID
crop_type
Tipo
text
Rótulo
Crop Type

ID
season
Tipo
text
Rótulo
Season

ID
area
Tipo
numeric
Rótulo
Area

ID
area_unit
Tipo
text
Rótulo
Area Unit

ID
production
Tipo
numeric
Rótulo
Production

ID
production_unit
Tipo
text
Rótulo
Production Unit

ID
yield
Tipo
numeric
Rótulo
Yield

ID
yield_unit
Tipo
text
Rótulo
Yield Unit

Informações Adicionais

Campo Valor
Dados atualizados pela última vez 2 de março de 2026
Metadados atualizados pela última vez 3 de março de 2026
Criado 2 de março de 2026
Formato CSV
Licença Open Data Commons Attribution License
Additional infoThere are some crop names, which are mapped with the crop codes where it seems identical. So, whenever you are trying to find the underlying patterns in the data related to crop names, please be cautious of excluding the crop code from your visualizations.
Data extraction pagehttps://data.desagri.gov.in/website/crops-apy-report-web
Data insightsShows changes in cultivated area and output levels across crops and regions.Helps assess crop productivity differences between districts and states.Can be used to track seasonal shifts in cropping patterns over time.Supports evaluation of agricultural growth trends at sub-national levels.Enables comparison of production concentration across crop types and regions.
Data last updated14-12-2023
Data retreival date26-02-2026
Datastore activeTrue
District no740
FrequencyYearly
Gp no0
GranularityDistrict
Has viewsTrue
Idf980409d-49a2-42ae-9eb0-182365005c04
Idp readyTrue
Indicators['Area', 'Production', 'Yield']
Lgd mappingyes
Mapping status100
MethodologyThe data originates from the Directorate of Economics and Statistics under the Ministry of Agriculture and Farmers Welfare, Government of India. State and district authorities compile crop statistics through administrative reporting systems based on field surveys and revenue records. Figures are aggregated annually at district and state levels and classified by crop and season. Standard definitions for area, production, and yield are applied across reporting units. The Directorate consolidates, validates, and publishes the data through its national agricultural statistics system.
No indicators3
Package idf2bbc28c-6c7c-462b-9064-ea4c4213d466
Position0
Size63,6 MiB
Skumoafw-area_production_yield-dt-sn-qzf
Stateactive
States uts no34
Tehsil no0
Url typeupload
Years covered1997-2023
Methodology The data originates from the Directorate of Economics and Statistics under the Ministry of Agriculture and Farmers Welfare, Government of India. State and district authorities compile crop statistics through administrative reporting systems based on field surveys and revenue records. Figures are aggregated annually at district and state levels and classified by crop and season. Standard definitions for area, production, and yield are applied across reporting units. The Directorate consolidates, validates, and publishes the data through its national agricultural statistics system.
Indicators ['Area', 'Production', 'Yield']
Similar Resources
Granularity Level District
Data Extraction Page https://data.desagri.gov.in/website/crops-apy-report-web
Data Retreival Date 26-02-2026
Data Last Updated 14-12-2023
Sku moafw-area_production_yield-dt-sn-qzf
Dataset Frequency Yearly
Years Covered 1997-2023
No of States/UT(s) 34
No of Districts 740
No of Tehsils/blocks 0
No of Gram Panchayats 0
Informações Adicionais There are some crop names, which are mapped with the crop codes where it seems identical. So, whenever you are trying to find the underlying patterns in the data related to crop names, please be cautious of excluding the crop code from your visualizations.
Number of Indicators 3
Insights from the dataset Shows changes in cultivated area and output levels across crops and regions.Helps assess crop productivity differences between districts and states.Can be used to track seasonal shifts in cropping patterns over time.Supports evaluation of agricultural growth trends at sub-national levels.Enables comparison of production concentration across crop types and regions.
IDP Ready Yes
LGD Mapping Yes
Mapping Status % 100
Geo Columns