Você está visualizando uma versão antiga deste conjunto de dados. Os arquivos de dados podem não corresponder à versão antiga dos metadados. Visualizar a versão atualversão.
Classification of Area
The Classification of Area resource provides district level statistics on the distribution of land according to standard land use categories in India. It presents annual data on reporting area, net area sown, area sown more than once, and total cropped area, along with detailed area classifications and sub classifications. The data is organized by year, state, and district codes to support consistent regional comparisons. Values are reported using standardized land use definitions under the Land Use Statistics framework. This resource helps users understand how land is allocated across different agricultural and non-agricultural uses over time.
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
- land_use_metrics
- Tipo
- text
- Rótulo
- Land Use Metrics
- ID
- area_classification
- Tipo
- text
- Rótulo
- Area Classification
- ID
- area_sub_classification
- Tipo
- text
- Rótulo
- Area Sub Classification
- ID
- area_in_hectares
- Tipo
- numeric
- Rótulo
- Area (In Hectares)
Informações Adicionais
| Campo | Valor |
|---|---|
| Dados atualizados pela última vez | 26 de fevereiro de 2026 |
| Metadados atualizados pela última vez | 26 de fevereiro de 2026 |
| Criado | 26 de fevereiro de 2026 |
| Formato | CSV |
| Licença | Open Data Commons Attribution License |
| Data extraction page | https://data.desagri.gov.in/weblus/lus-grand-query-report |
| Data insights | The Classification of Area dataset enables analysis of how land use patterns vary across regions and years. It helps identify changes in net sown area, cropping intensity, and the extent of multiple cropping practices. Policymakers can use this data to assess land utilization efficiency, monitor agricultural expansion or decline, and plan land and irrigation policies. Researchers can study relationships between land classification, productivity, and regional development. The Classification of Area dataset also supports evaluation of long-term land use trends and sustainability of agricultural practices. |
| 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 | 4c4cdf25-3103-42f7-bac2-96fd0563789f |
| Idp ready | False |
| 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. |
| Mimetype | text/csv |
| No indicators | 5 |
| Package id | 8742251a-5ca1-483d-936a-f68306663cc9 |
| Position | 1 |
| Size | 21 MiB |
| Sku | moafw-des_grand_query_reports-classification-of-area-dt-sn-qzf |
| State | active |
| States uts no | 36 |
| Tags | ['Classification of Area', 'Land Use Statistics India', 'Agricultural Land Classification', 'District Wise Land Use Data', 'Net Area Sown', 'Cropped Area Statistics', 'Indian Agriculture Land Use', 'Land Utilization Data'] |
| Tehsil no | 0 |
| Url type | upload |
| Village no | 0 |
| 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 | |
| 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-classification-of-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 |
| Informações Adicionais | |
| Number of Indicators | 5 |
| Insights from the dataset | The Classification of Area dataset enables analysis of how land use patterns vary across regions and years. It helps identify changes in net sown area, cropping intensity, and the extent of multiple cropping practices. Policymakers can use this data to assess land utilization efficiency, monitor agricultural expansion or decline, and plan land and irrigation policies. Researchers can study relationships between land classification, productivity, and regional development. The Classification of Area dataset also supports evaluation of long-term land use trends and sustainability of agricultural practices. |
| IDP Ready | No |
| LGD Mapping | |
| Mapping Status % | |
| Geo Columns |