Data Dictionary

ID
id
Type
int4
Label
index

ID
year
Type
text
Label
Year

ID
state_name
Type
text
Label
State Name

ID
state_code
Type
text
Label
State Code

ID
district_name
Type
text
Label
District Name

ID
district_code
Type
text
Label
District Code

ID
crop_name
Type
text
Label
Crop Name

ID
crop_code
Type
numeric
Label
Crop Code

ID
crop_type
Type
text
Label
Crop Type

ID
season
Type
text
Label
Season

ID
area
Type
numeric
Label
Area

ID
area_unit
Type
text
Label
Area Unit

ID
production
Type
numeric
Label
Production

ID
production_unit
Type
text
Label
Production Unit

ID
yield
Type
numeric
Label
Yield

ID
yield_unit
Type
text
Label
Yield Unit

Additional Information

Field Value
Data last updated March 2, 2026
Metadata last updated March 3, 2026
Created March 2, 2026
Format CSV
License 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
Additional Information 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