Crop Wise Irrigated Area
The Crop wise Irrigated Area resource provides district level data on the area of crops cultivated under irrigation in India for selected agricultural years. The dataset is organized by food category, crop type, sub-crop type, crop name, and season, allowing detailed analysis of irrigation coverage across different crops. It captures variations by region and cropping season using standardized crop codes and geographic identifiers. The data supports assessment of irrigation patterns for individual crops across districts and states. This resource is generated from the Land Use Statistics Grand Query Reports system.
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
- 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 Hectares.)
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 |
| Data extraction page | https://data.desagri.gov.in/weblus/lus-grand-query-report |
| Data insights | The Crop wise Irrigated Area dataset enables analysis of irrigation dependency and coverage across different crops and seasons. It helps identify crops that rely heavily on irrigation and regions with higher irrigated agricultural activity. Policymakers can use this data to plan irrigation infrastructure, promote water efficient cropping patterns, and evaluate the impact of irrigation policies. Researchers can study relationships between irrigation, crop choice, and regional agricultural performance. The Crop wise Irrigated Area dataset also supports monitoring of shifts toward irrigated or rain fed agriculture over time. |
| 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 | 0fb99c18-a1f7-46f0-b40d-ddffca021319 |
| Idp ready | True |
| Indicators | ['Area In Hectares'] |
| 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 | 2 |
| Similar resources | adbda590-ac79-448f-95ff-2c455c538288,4c4cdf25-3103-42f7-bac2-96fd0563789f,ef174105-0886-45f2-bd0d-679c45e05845 |
| Size | 77.7 MiB |
| Sku | moafw-des_grand_query_reports-crop-wise-irrigated-area-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 Hectares'] |
| 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-crop-wise-irrigated-area-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 | |
| Number of Indicators | 1 |
| Insights from the dataset | The Crop wise Irrigated Area dataset enables analysis of irrigation dependency and coverage across different crops and seasons. It helps identify crops that rely heavily on irrigation and regions with higher irrigated agricultural activity. Policymakers can use this data to plan irrigation infrastructure, promote water efficient cropping patterns, and evaluate the impact of irrigation policies. Researchers can study relationships between irrigation, crop choice, and regional agricultural performance. The Crop wise Irrigated Area dataset also supports monitoring of shifts toward irrigated or rain fed agriculture over time. |
| IDP Ready | Yes |
| LGD Mapping | Yes |
| Mapping Status % | 100 |
| Geo Columns |