Area Under Crops
The Area Under Crops dataset provides district level data on the total area cultivated under different crops year wise. The data is generated through the Land Use Statistics Grand Query Reports system and allows users to view crop wise cultivated area across regions and time periods. It helps in understanding cropping patterns, crop dominance, and regional variations in agricultural land use. The resource supports comparisons across years and locations using standardized area measurements such as hectares. The Area Under Crops dataset is useful for agricultural analysis, planning, and monitoring land use trends related to crop production.
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
- area_category
- Type
- text
- Label
- Area Category
- ID
- food_category
- Type
- text
- Label
- Food Category
- ID
- crop_type
- Type
- text
- Label
- Crop Type
- ID
- sub_crop_type
- Type
- text
- Label
- Sub Crop Type
- ID
- crop_name
- Type
- text
- Label
- Crop Name
- ID
- crop_code
- Type
- numeric
- Label
- Crop Code
- ID
- season
- Type
- text
- Label
- Season
- ID
- value
- Type
- numeric
- Label
- Area in Hectare
Additional Information
| Field | Value |
|---|---|
| Data last updated | February 26, 2026 |
| Metadata last updated | February 26, 2026 |
| Created | February 26, 2026 |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Additional info | The crop code for the crop name "Other Dry Fruits" is the only missing one. |
| Data extraction page | https://data.desagri.gov.in/weblus/lus-grand-query-report |
| Data insights | The Area Under Crops data enables analysis of changes in cropping patterns across regions and over time. It helps identify shifts in agricultural focus, such as expansion or decline of specific crops in different districts or states. Policymakers can use this information to assess land allocation efficiency, crop diversification trends, and regional agricultural performance. The data also supports planning for food security, irrigation investment, and crop-specific support programs. Researchers can link cultivated area trends with productivity, climate variability, and policy interventions. |
| Data last updated | 18-12-2024 |
| Data retreival date | 10-12-2025 |
| Datastore active | True |
| District no | 742 |
| Frequency | Seasonal |
| Gp no | 0 |
| Granularity | District |
| Has views | True |
| Id | adbda590-ac79-448f-95ff-2c455c538288 |
| Idp ready | True |
| Indicators | ['Area In Hectare'] |
| Lgd mapping | yes |
| Mapping status | 100 |
| Methodology | The Land Use Statistics data are compiled from official secondary sources, like annual administrative land records maintained at the village level by revenue under the nine fold land classification system which includes categories such as forests, non-agricultural land, fallow land, net sown area, cropped area, etc. The classification and utilization metrics are aggregated up to district or state levels and published periodically by DES. It’s likely supplemented by remote sensing or survey inputs in some sub-domains, though the primary data comes from official land records and administrative returns. |
| No indicators | 1 |
| Package id | 8742251a-5ca1-483d-936a-f68306663cc9 |
| Position | 0 |
| Similar resources | 4c4cdf25-3103-42f7-bac2-96fd0563789f,0fb99c18-a1f7-46f0-b40d-ddffca021319,ef174105-0886-45f2-bd0d-679c45e05845 |
| Size | 160.8 MiB |
| Sku | moafw-des_grand_query_reports-area-under-crops-dt-sn-qzf |
| State | active |
| States uts no | 36 |
| Tehsil no | 0 |
| Url type | upload |
| Years covered | 1998 - 2024 |
| Methodology | The Land Use Statistics data are compiled from official secondary sources, like annual administrative land records maintained at the village level by revenue under the nine fold land classification system which includes categories such as forests, non-agricultural land, fallow land, net sown area, cropped area, etc. The classification and utilization metrics are aggregated up to district or state levels and published periodically by DES. It’s likely supplemented by remote sensing or survey inputs in some sub-domains, though the primary data comes from official land records and administrative returns. |
| Indicators | ['Area In Hectare'] |
| Similar Resources | |
| Granularity Level | District |
| Data Extraction Page | https://data.desagri.gov.in/weblus/lus-grand-query-report |
| Data Retreival Date | 10-12-2025 |
| Data Last Updated | 18-12-2024 |
| Sku | moafw-des_grand_query_reports-area-under-crops-dt-sn-qzf |
| Dataset Frequency | Seasonal |
| Years Covered | 1998 - 2024 |
| No of States/UT(s) | 36 |
| No of Districts | 742 |
| No of Tehsils/blocks | 0 |
| No of Gram Panchayats | 0 |
| Additional Information | The crop code for the crop name "Other Dry Fruits" is the only missing one. |
| Number of Indicators | 1 |
| Insights from the dataset | The Area Under Crops data enables analysis of changes in cropping patterns across regions and over time. It helps identify shifts in agricultural focus, such as expansion or decline of specific crops in different districts or states. Policymakers can use this information to assess land allocation efficiency, crop diversification trends, and regional agricultural performance. The data also supports planning for food security, irrigation investment, and crop-specific support programs. Researchers can link cultivated area trends with productivity, climate variability, and policy interventions. |
| IDP Ready | Yes |
| LGD Mapping | Yes |
| Mapping Status % | 100 |
| Geo Columns |