Additional Information

Field Value
Data last updated 26 February 2026
Metadata last updated 26 February 2026
Created 26 February 2026
Format CSV
License Open Data Commons Attribution License
Data extraction pagehttps://data.desagri.gov.in/weblus/lus-grand-query-report
Data insightsThe Sources of Irrigation dataset enables analysis of the relative contribution of different irrigation sources across districts and states. It helps identify regions dependent on specific irrigation systems and assess changes in irrigation practices over time. Policymakers can use this data to guide investments in irrigation infrastructure, groundwater management, and water conservation initiatives. Researchers can examine links between irrigation sources, cropping patterns, and agricultural productivity. The Sources of Irrigation dataset also supports evaluation of regional disparities in access to irrigation facilities.
Data last updated18-12-2024
Data retreival date10-12-2025
Datastore activeFalse
District no742
FrequencySeasonal
Gp no0
GranularityDistrict
Has viewsTrue
Idef174105-0886-45f2-bd0d-679c45e05845
Idp readyFalse
MethodologyThe 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.
Mimetypetext/csv
No indicators1
Package id8742251a-5ca1-483d-936a-f68306663cc9
Position3
Size18 MiB
Skumoafw-des_grand_query_reports-sources-of-irrigation-dt-sn-qzf
Stateactive
States uts no36
Tehsil no0
Url typeupload
Village no0
Years covered1998 - 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
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-sources-of-irrigation-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 Sources of Irrigation dataset enables analysis of the relative contribution of different irrigation sources across districts and states. It helps identify regions dependent on specific irrigation systems and assess changes in irrigation practices over time. Policymakers can use this data to guide investments in irrigation infrastructure, groundwater management, and water conservation initiatives. Researchers can examine links between irrigation sources, cropping patterns, and agricultural productivity. The Sources of Irrigation dataset also supports evaluation of regional disparities in access to irrigation facilities.
IDP Ready No
LGD Mapping
Mapping Status %
Geo Columns