Changes
On February 26, 2026, 11:49:00 AM UTC,
-
Added resource Classification of Area to Land Use Statistics
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Changed value of field
datastore_active
toTrue
in resource Area Under Crops in Land Use Statistics
| f | 1 | { | f | 1 | { |
| 2 | "SDGs": [], | 2 | "SDGs": [], | ||
| 3 | "author": null, | 3 | "author": null, | ||
| 4 | "author_email": null, | 4 | "author_email": null, | ||
| 5 | "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442", | 5 | "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442", | ||
| 6 | "groups": [], | 6 | "groups": [], | ||
| 7 | "id": "8742251a-5ca1-483d-936a-f68306663cc9", | 7 | "id": "8742251a-5ca1-483d-936a-f68306663cc9", | ||
| 8 | "isopen": false, | 8 | "isopen": false, | ||
| 9 | "license_id": "Open Data Commons Attribution License", | 9 | "license_id": "Open Data Commons Attribution License", | ||
| 10 | "license_title": "Open Data Commons Attribution License", | 10 | "license_title": "Open Data Commons Attribution License", | ||
| 11 | "maintainer": null, | 11 | "maintainer": null, | ||
| 12 | "maintainer_email": null, | 12 | "maintainer_email": null, | ||
| 13 | "metadata_created": "2026-02-26T11:40:23.604057", | 13 | "metadata_created": "2026-02-26T11:40:23.604057", | ||
| n | 14 | "metadata_modified": "2026-02-26T11:40:46.558629", | n | 14 | "metadata_modified": "2026-02-26T11:49:00.215558", |
| 15 | "name": "land-use-statistics", | 15 | "name": "land-use-statistics", | ||
| 16 | "notes": "The Land Use Statistics (LUS) package is a comprehensive | 16 | "notes": "The Land Use Statistics (LUS) package is a comprehensive | ||
| 17 | collection of official agricultural land use data published by the | 17 | collection of official agricultural land use data published by the | ||
| 18 | Directorate of Economics and Statistics, Government of India. It | 18 | Directorate of Economics and Statistics, Government of India. It | ||
| 19 | captures how land is utilized across different categories such as | 19 | captures how land is utilized across different categories such as | ||
| 20 | cropped area, irrigated land, fallow land, forests, and non | 20 | cropped area, irrigated land, fallow land, forests, and non | ||
| 21 | agricultural uses. The dataset is compiled annually using | 21 | agricultural uses. The dataset is compiled annually using | ||
| 22 | administrative land records and standardized classification systems. | 22 | administrative land records and standardized classification systems. | ||
| 23 | It provides historical and regional coverage at state and district | 23 | It provides historical and regional coverage at state and district | ||
| 24 | levels, enabling long-term analysis of land use patterns in Indian | 24 | levels, enabling long-term analysis of land use patterns in Indian | ||
| 25 | agriculture.", | 25 | agriculture.", | ||
| n | 26 | "num_resources": 1, | n | 26 | "num_resources": 2, |
| 27 | "num_tags": 1, | 27 | "num_tags": 1, | ||
| 28 | "organization": { | 28 | "organization": { | ||
| 29 | "approval_status": "approved", | 29 | "approval_status": "approved", | ||
| 30 | "created": "2022-12-05T03:44:54.080358", | 30 | "created": "2022-12-05T03:44:54.080358", | ||
| 31 | "description": "", | 31 | "description": "", | ||
| 32 | "id": "94317457-d297-4549-9640-7865034682c5", | 32 | "id": "94317457-d297-4549-9640-7865034682c5", | ||
| 33 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | 33 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | ||
| 34 | "is_organization": true, | 34 | "is_organization": true, | ||
| 35 | "name": "idp-organization", | 35 | "name": "idp-organization", | ||
| 36 | "state": "active", | 36 | "state": "active", | ||
| 37 | "title": "IDP organization", | 37 | "title": "IDP organization", | ||
| 38 | "type": "organization" | 38 | "type": "organization" | ||
| 39 | }, | 39 | }, | ||
| 40 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | 40 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | ||
| 41 | "private": false, | 41 | "private": false, | ||
| 42 | "relationships_as_object": [], | 42 | "relationships_as_object": [], | ||
| 43 | "relationships_as_subject": [], | 43 | "relationships_as_subject": [], | ||
| 44 | "resources": [ | 44 | "resources": [ | ||
| 45 | { | 45 | { | ||
| 46 | "additional_info": "The crop code for the crop name \"Other Dry | 46 | "additional_info": "The crop code for the crop name \"Other Dry | ||
| 47 | Fruits\" is the only missing one.\n", | 47 | Fruits\" is the only missing one.\n", | ||
| 48 | "cache_last_updated": null, | 48 | "cache_last_updated": null, | ||
| 49 | "cache_url": null, | 49 | "cache_url": null, | ||
| 50 | "created": "2026-02-26T11:40:46.571626", | 50 | "created": "2026-02-26T11:40:46.571626", | ||
| 51 | "data_extraction_page": | 51 | "data_extraction_page": | ||
| 52 | "https://data.desagri.gov.in/weblus/lus-grand-query-report", | 52 | "https://data.desagri.gov.in/weblus/lus-grand-query-report", | ||
| 53 | "data_insights": "The Area Under Crops data enables analysis of | 53 | "data_insights": "The Area Under Crops data enables analysis of | ||
| 54 | changes in cropping patterns across regions and over time. It helps | 54 | changes in cropping patterns across regions and over time. It helps | ||
| 55 | identify shifts in agricultural focus, such as expansion or decline of | 55 | identify shifts in agricultural focus, such as expansion or decline of | ||
| 56 | specific crops in different districts or states. Policymakers can use | 56 | specific crops in different districts or states. Policymakers can use | ||
| 57 | this information to assess land allocation efficiency, crop | 57 | this information to assess land allocation efficiency, crop | ||
| 58 | diversification trends, and regional agricultural performance. The | 58 | diversification trends, and regional agricultural performance. The | ||
| 59 | data also supports planning for food security, irrigation investment, | 59 | data also supports planning for food security, irrigation investment, | ||
| 60 | and crop-specific support programs. Researchers can link cultivated | 60 | and crop-specific support programs. Researchers can link cultivated | ||
| 61 | area trends with productivity, climate variability, and policy | 61 | area trends with productivity, climate variability, and policy | ||
| 62 | interventions.", | 62 | interventions.", | ||
| 63 | "data_last_updated": "18-12-2024", | 63 | "data_last_updated": "18-12-2024", | ||
| 64 | "data_retreival_date": "10-12-2025", | 64 | "data_retreival_date": "10-12-2025", | ||
| n | 65 | "datastore_active": false, | n | 65 | "datastore_active": true, |
| 66 | "description": "The Area Under Crops dataset provides district | 66 | "description": "The Area Under Crops dataset provides district | ||
| 67 | level data on the total area cultivated under different crops year | 67 | level data on the total area cultivated under different crops year | ||
| 68 | wise. The data is generated through the Land Use Statistics Grand | 68 | wise. The data is generated through the Land Use Statistics Grand | ||
| 69 | Query Reports system and allows users to view crop wise cultivated | 69 | Query Reports system and allows users to view crop wise cultivated | ||
| 70 | area across regions and time periods. It helps in understanding | 70 | area across regions and time periods. It helps in understanding | ||
| 71 | cropping patterns, crop dominance, and regional variations in | 71 | cropping patterns, crop dominance, and regional variations in | ||
| 72 | agricultural land use. The resource supports comparisons across years | 72 | agricultural land use. The resource supports comparisons across years | ||
| 73 | and locations using standardized area measurements such as hectares. | 73 | and locations using standardized area measurements such as hectares. | ||
| 74 | The Area Under Crops dataset is useful for agricultural analysis, | 74 | The Area Under Crops dataset is useful for agricultural analysis, | ||
| 75 | planning, and monitoring land use trends related to crop production.", | 75 | planning, and monitoring land use trends related to crop production.", | ||
| 76 | "district_no": "742", | 76 | "district_no": "742", | ||
| 77 | "format": "CSV", | 77 | "format": "CSV", | ||
| 78 | "frequency": "Seasonal", | 78 | "frequency": "Seasonal", | ||
| 79 | "gp_no": "0", | 79 | "gp_no": "0", | ||
| 80 | "granularity": "District", | 80 | "granularity": "District", | ||
| 81 | "hash": "", | 81 | "hash": "", | ||
| 82 | "id": "adbda590-ac79-448f-95ff-2c455c538288", | 82 | "id": "adbda590-ac79-448f-95ff-2c455c538288", | ||
| 83 | "idp_ready": false, | 83 | "idp_ready": false, | ||
| 84 | "last_modified": "2026-02-26T11:40:46.540882", | 84 | "last_modified": "2026-02-26T11:40:46.540882", | ||
| 85 | "metadata_modified": "2026-02-26T11:40:46.565667", | 85 | "metadata_modified": "2026-02-26T11:40:46.565667", | ||
| 86 | "methodology": "The Land Use Statistics data are compiled from | 86 | "methodology": "The Land Use Statistics data are compiled from | ||
| 87 | official secondary sources, like annual administrative land records | 87 | official secondary sources, like annual administrative land records | ||
| 88 | maintained at the village level by revenue under the nine fold land | 88 | maintained at the village level by revenue under the nine fold land | ||
| 89 | classification system which includes categories such as forests, | 89 | classification system which includes categories such as forests, | ||
| 90 | non-agricultural land, fallow land, net sown area, cropped area, etc. | 90 | non-agricultural land, fallow land, net sown area, cropped area, etc. | ||
| 91 | The classification and utilization metrics are aggregated up to | 91 | The classification and utilization metrics are aggregated up to | ||
| 92 | district or state levels and published periodically by DES. It\u2019s | 92 | district or state levels and published periodically by DES. It\u2019s | ||
| 93 | likely supplemented by remote sensing or survey inputs in some | 93 | likely supplemented by remote sensing or survey inputs in some | ||
| 94 | sub-domains, though the primary data comes from official land records | 94 | sub-domains, though the primary data comes from official land records | ||
| 95 | and administrative returns.", | 95 | and administrative returns.", | ||
| 96 | "mimetype": "text/csv", | 96 | "mimetype": "text/csv", | ||
| 97 | "mimetype_inner": null, | 97 | "mimetype_inner": null, | ||
| 98 | "name": "Area Under Crops", | 98 | "name": "Area Under Crops", | ||
| 99 | "no_indicators": "1", | 99 | "no_indicators": "1", | ||
| 100 | "package_id": "8742251a-5ca1-483d-936a-f68306663cc9", | 100 | "package_id": "8742251a-5ca1-483d-936a-f68306663cc9", | ||
| 101 | "position": 0, | 101 | "position": 0, | ||
| 102 | "resource_type": null, | 102 | "resource_type": null, | ||
| 103 | "size": 168661499, | 103 | "size": 168661499, | ||
| 104 | "sku": | 104 | "sku": | ||
| 105 | "moafw-des_grand_query_reports-area-under-crops-dt-sn-qzf", | 105 | "moafw-des_grand_query_reports-area-under-crops-dt-sn-qzf", | ||
| 106 | "state": "active", | 106 | "state": "active", | ||
| 107 | "states_uts_no": "36", | 107 | "states_uts_no": "36", | ||
| 108 | "tehsil_no": "0", | 108 | "tehsil_no": "0", | ||
| 109 | "url": | 109 | "url": | ||
| 110 | e/adbda590-ac79-448f-95ff-2c455c538288/download/area-under-crops.csv", | 110 | e/adbda590-ac79-448f-95ff-2c455c538288/download/area-under-crops.csv", | ||
| 111 | "url_type": "upload", | 111 | "url_type": "upload", | ||
| 112 | "village_no": "0", | 112 | "village_no": "0", | ||
| 113 | "years_covered": "1998 - 2024" | 113 | "years_covered": "1998 - 2024" | ||
| t | t | 114 | }, | ||
| 115 | { | ||||
| 116 | "cache_last_updated": null, | ||||
| 117 | "cache_url": null, | ||||
| 118 | "created": "2026-02-26T11:49:00.234866", | ||||
| 119 | "data_extraction_page": | ||||
| 120 | "https://data.desagri.gov.in/weblus/lus-grand-query-report", | ||||
| 121 | "data_insights": "The Classification of Area dataset enables | ||||
| 122 | analysis of how land use patterns vary across regions and years. It | ||||
| 123 | helps identify changes in net sown area, cropping intensity, and the | ||||
| 124 | extent of multiple cropping practices. Policymakers can use this data | ||||
| 125 | to assess land utilization efficiency, monitor agricultural expansion | ||||
| 126 | or decline, and plan land and irrigation policies. Researchers can | ||||
| 127 | study relationships between land classification, productivity, and | ||||
| 128 | regional development. The Classification of Area dataset also supports | ||||
| 129 | evaluation of long-term land use trends and sustainability of | ||||
| 130 | agricultural practices.", | ||||
| 131 | "data_last_updated": "18-12-2024", | ||||
| 132 | "data_retreival_date": "10-12-2025", | ||||
| 133 | "datastore_active": false, | ||||
| 134 | "description": "The Classification of Area resource provides | ||||
| 135 | district level statistics on the distribution of land according to | ||||
| 136 | standard land use categories in India. It presents annual data on | ||||
| 137 | reporting area, net area sown, area sown more than once, and total | ||||
| 138 | cropped area, along with detailed area classifications and sub | ||||
| 139 | classifications. The data is organized by year, state, and district | ||||
| 140 | codes to support consistent regional comparisons. Values are reported | ||||
| 141 | using standardized land use definitions under the Land Use Statistics | ||||
| 142 | framework. This resource helps users understand how land is allocated | ||||
| 143 | across different agricultural and non-agricultural uses over time.", | ||||
| 144 | "district_no": "742", | ||||
| 145 | "format": "CSV", | ||||
| 146 | "frequency": "Seasonal", | ||||
| 147 | "gp_no": "0", | ||||
| 148 | "granularity": "District", | ||||
| 149 | "hash": "", | ||||
| 150 | "id": "4c4cdf25-3103-42f7-bac2-96fd0563789f", | ||||
| 151 | "idp_ready": false, | ||||
| 152 | "last_modified": "2026-02-26T11:49:00.189025", | ||||
| 153 | "metadata_modified": "2026-02-26T11:49:00.226502", | ||||
| 154 | "methodology": "The Land Use Statistics data are compiled from | ||||
| 155 | official secondary sources, like annual administrative land records | ||||
| 156 | maintained at the village level by revenue under the nine fold land | ||||
| 157 | classification system which includes categories such as forests, | ||||
| 158 | non-agricultural land, fallow land, net sown area, cropped area, etc. | ||||
| 159 | The classification and utilization metrics are aggregated up to | ||||
| 160 | district or state levels and published periodically by DES. It\u2019s | ||||
| 161 | likely supplemented by remote sensing or survey inputs in some | ||||
| 162 | sub-domains, though the primary data comes from official land records | ||||
| 163 | and administrative returns.", | ||||
| 164 | "mimetype": "text/csv", | ||||
| 165 | "mimetype_inner": null, | ||||
| 166 | "name": "Classification of Area", | ||||
| 167 | "no_indicators": "5", | ||||
| 168 | "package_id": "8742251a-5ca1-483d-936a-f68306663cc9", | ||||
| 169 | "position": 1, | ||||
| 170 | "resource_type": null, | ||||
| 171 | "size": 22108580, | ||||
| 172 | "sku": | ||||
| 173 | "moafw-des_grand_query_reports-classification-of-area-dt-sn-qzf", | ||||
| 174 | "state": "active", | ||||
| 175 | "states_uts_no": "36", | ||||
| 176 | "tehsil_no": "0", | ||||
| 177 | "url": | ||||
| 178 | df25-3103-42f7-bac2-96fd0563789f/download/classification-of-area.csv", | ||||
| 179 | "url_type": "upload", | ||||
| 180 | "village_no": "0", | ||||
| 181 | "years_covered": "1998 - 2024" | ||||
| 114 | } | 182 | } | ||
| 115 | ], | 183 | ], | ||
| 116 | "sector": [ | 184 | "sector": [ | ||
| 117 | "Food and Agriculture" | 185 | "Food and Agriculture" | ||
| 118 | ], | 186 | ], | ||
| 119 | "source_name": "Ministry of Agriculture and Farmers Welfare", | 187 | "source_name": "Ministry of Agriculture and Farmers Welfare", | ||
| 120 | "state": "active", | 188 | "state": "active", | ||
| 121 | "title": "Land Use Statistics", | 189 | "title": "Land Use Statistics", | ||
| 122 | "type": "dataset", | 190 | "type": "dataset", | ||
| 123 | "url": "https://data.desagri.gov.in/login", | 191 | "url": "https://data.desagri.gov.in/login", | ||
| 124 | "version": null | 192 | "version": null | ||
| 125 | } | 193 | } |