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| 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 | "extras": [ | 6 | "extras": [ | ||
| 7 | { | 7 | { | ||
| 8 | "key": "fields", | 8 | "key": "fields", | ||
| 9 | "value": "month, state_name, state_code, district_name, | 9 | "value": "month, state_name, state_code, district_name, | ||
| 10 | district_code, center_name, center_code, center_lat, center_long, | 10 | district_code, center_name, center_code, center_lat, center_long, | ||
| 11 | labour_category, labour_type, gender, monthly_average_wage, | 11 | labour_category, labour_type, gender, monthly_average_wage, | ||
| 12 | annual_average_wage, id" | 12 | annual_average_wage, id" | ||
| 13 | } | 13 | } | ||
| 14 | ], | 14 | ], | ||
| 15 | "groups": [], | 15 | "groups": [], | ||
| 16 | "id": "918fa3db-eb6e-4c23-9b95-65f868015cd8", | 16 | "id": "918fa3db-eb6e-4c23-9b95-65f868015cd8", | ||
| 17 | "isopen": true, | 17 | "isopen": true, | ||
| 18 | "license_id": "odc-by", | 18 | "license_id": "odc-by", | ||
| 19 | "license_title": "Open Data Commons Attribution License", | 19 | "license_title": "Open Data Commons Attribution License", | ||
| 20 | "license_url": "http://www.opendefinition.org/licenses/odc-by", | 20 | "license_url": "http://www.opendefinition.org/licenses/odc-by", | ||
| 21 | "maintainer": null, | 21 | "maintainer": null, | ||
| 22 | "maintainer_email": null, | 22 | "maintainer_email": null, | ||
| 23 | "metadata_created": "2023-08-30T02:57:59.489257", | 23 | "metadata_created": "2023-08-30T02:57:59.489257", | ||
| t | 24 | "metadata_modified": "2025-12-19T08:09:47.555576", | t | 24 | "metadata_modified": "2025-12-19T10:18:05.129104", |
| 25 | "name": "agricultural-wages", | 25 | "name": "agricultural-wages", | ||
| 26 | "notes": "The Agricultural Wages dataset provides a detailed monthly | 26 | "notes": "The Agricultural Wages dataset provides a detailed monthly | ||
| 27 | and annual analysis of wages earned by agricultural laborers in | 27 | and annual analysis of wages earned by agricultural laborers in | ||
| 28 | various regions of India. Each entry is localized to a specific | 28 | various regions of India. Each entry is localized to a specific | ||
| 29 | Agriculture Market Center, identified not only by its name and code | 29 | Agriculture Market Center, identified not only by its name and code | ||
| 30 | but also by its precise geographical coordinates (latitude and | 30 | but also by its precise geographical coordinates (latitude and | ||
| 31 | longitude). The data further differentiates wages based on the labor | 31 | longitude). The data further differentiates wages based on the labor | ||
| 32 | category, specific agricultural tasks they're engaged in, and their | 32 | category, specific agricultural tasks they're engaged in, and their | ||
| 33 | gender. This allows for a comprehensive understanding of wage | 33 | gender. This allows for a comprehensive understanding of wage | ||
| 34 | disparities and trends across different states, districts, and | 34 | disparities and trends across different states, districts, and | ||
| 35 | centers, making it a valuable tool for policymakers, researchers, and | 35 | centers, making it a valuable tool for policymakers, researchers, and | ||
| 36 | stakeholders in the agricultural sector.", | 36 | stakeholders in the agricultural sector.", | ||
| 37 | "num_resources": 1, | 37 | "num_resources": 1, | ||
| 38 | "num_tags": 5, | 38 | "num_tags": 5, | ||
| 39 | "organization": { | 39 | "organization": { | ||
| 40 | "approval_status": "approved", | 40 | "approval_status": "approved", | ||
| 41 | "created": "2022-12-05T03:44:54.080358", | 41 | "created": "2022-12-05T03:44:54.080358", | ||
| 42 | "description": "", | 42 | "description": "", | ||
| 43 | "id": "94317457-d297-4549-9640-7865034682c5", | 43 | "id": "94317457-d297-4549-9640-7865034682c5", | ||
| 44 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | 44 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | ||
| 45 | "is_organization": true, | 45 | "is_organization": true, | ||
| 46 | "name": "idp-organization", | 46 | "name": "idp-organization", | ||
| 47 | "state": "active", | 47 | "state": "active", | ||
| 48 | "title": "IDP organization", | 48 | "title": "IDP organization", | ||
| 49 | "type": "organization" | 49 | "type": "organization" | ||
| 50 | }, | 50 | }, | ||
| 51 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | 51 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | ||
| 52 | "private": false, | 52 | "private": false, | ||
| 53 | "relationships_as_object": [], | 53 | "relationships_as_object": [], | ||
| 54 | "relationships_as_subject": [], | 54 | "relationships_as_subject": [], | ||
| 55 | "resources": [ | 55 | "resources": [ | ||
| 56 | { | 56 | { | ||
| 57 | "additional_info": "", | 57 | "additional_info": "", | ||
| 58 | "cache_last_updated": null, | 58 | "cache_last_updated": null, | ||
| 59 | "cache_url": null, | 59 | "cache_url": null, | ||
| 60 | "created": "2023-09-08T04:33:37.169764", | 60 | "created": "2023-09-08T04:33:37.169764", | ||
| 61 | "data_extraction_page": "https://eands.dacnet.nic.in/AWIS.html", | 61 | "data_extraction_page": "https://eands.dacnet.nic.in/AWIS.html", | ||
| 62 | "data_insights": "For government employees and policymakers, the | 62 | "data_insights": "For government employees and policymakers, the | ||
| 63 | Agricultural wages data can provide insights into the economic | 63 | Agricultural wages data can provide insights into the economic | ||
| 64 | conditions of the agricultural sector and help in the formulation of | 64 | conditions of the agricultural sector and help in the formulation of | ||
| 65 | policies related to labor welfare, minimum wages, and rural | 65 | policies related to labor welfare, minimum wages, and rural | ||
| 66 | development. Social scientists can use the data to study the trends in | 66 | development. Social scientists can use the data to study the trends in | ||
| 67 | agricultural labor wages over time and across different regions, and | 67 | agricultural labor wages over time and across different regions, and | ||
| 68 | to analyze the impact of government policies on the livelihoods of | 68 | to analyze the impact of government policies on the livelihoods of | ||
| 69 | agricultural workers. Media houses and newsrooms can use the data to | 69 | agricultural workers. Media houses and newsrooms can use the data to | ||
| 70 | report on issues related to agricultural labor and to highlight any | 70 | report on issues related to agricultural labor and to highlight any | ||
| 71 | disparities in wages across different regions and types of work.", | 71 | disparities in wages across different regions and types of work.", | ||
| 72 | "data_last_updated": "2022-06-01 00:00:00", | 72 | "data_last_updated": "2022-06-01 00:00:00", | ||
| 73 | "data_retreival_date": "2021-12-13 00:00:00", | 73 | "data_retreival_date": "2021-12-13 00:00:00", | ||
| 74 | "datastore_active": true, | 74 | "datastore_active": true, | ||
| 75 | "description": "The Agricultural wages data provided by the | 75 | "description": "The Agricultural wages data provided by the | ||
| 76 | Ministry of Agriculture, Govt of India. It provides information on the | 76 | Ministry of Agriculture, Govt of India. It provides information on the | ||
| 77 | average daily wages paid to agricultural laborers in India. The data | 77 | average daily wages paid to agricultural laborers in India. The data | ||
| 78 | covers different types of agricultural work, such as ploughing, | 78 | covers different types of agricultural work, such as ploughing, | ||
| 79 | sowing, harvesting, and threshing, and is broken down by state and | 79 | sowing, harvesting, and threshing, and is broken down by state and | ||
| 80 | district. The dataset also includes information on the minimum wages | 80 | district. The dataset also includes information on the minimum wages | ||
| 81 | set by the government for different types of work for each month.", | 81 | set by the government for different types of work for each month.", | ||
| 82 | "district_no": "529", | 82 | "district_no": "529", | ||
| 83 | "format": "CSV", | 83 | "format": "CSV", | ||
| 84 | "frequency": "Monthly", | 84 | "frequency": "Monthly", | ||
| 85 | "geo_columns": [ | 85 | "geo_columns": [ | ||
| 86 | "state_code", | 86 | "state_code", | ||
| 87 | "district_code" | 87 | "district_code" | ||
| 88 | ], | 88 | ], | ||
| 89 | "gp_no": "", | 89 | "gp_no": "", | ||
| 90 | "granularity": "District", | 90 | "granularity": "District", | ||
| 91 | "hash": "", | 91 | "hash": "", | ||
| 92 | "id": "d1706e6e-ed37-44f5-90d8-15dd6f02b853", | 92 | "id": "d1706e6e-ed37-44f5-90d8-15dd6f02b853", | ||
| 93 | "idp_ready": true, | 93 | "idp_ready": true, | ||
| 94 | "last_modified": "2023-09-20T17:13:15.512956", | 94 | "last_modified": "2023-09-20T17:13:15.512956", | ||
| 95 | "lgd_mapping": "yes", | 95 | "lgd_mapping": "yes", | ||
| 96 | "metadata_modified": "2025-12-19T08:09:47.559912", | 96 | "metadata_modified": "2025-12-19T08:09:47.559912", | ||
| 97 | "methodology": "Data is colllected from the village level and is | 97 | "methodology": "Data is colllected from the village level and is | ||
| 98 | compiled at district, state and national levels by the Directorate of | 98 | compiled at district, state and national levels by the Directorate of | ||
| 99 | Economics and Statistics, Ministry of Agriculture & Farmers Welfare. | 99 | Economics and Statistics, Ministry of Agriculture & Farmers Welfare. | ||
| 100 | The work of collection, compilation and presentation of wage data | 100 | The work of collection, compilation and presentation of wage data | ||
| 101 | carried out by the Officers and Staff of Agricultural Wages | 101 | carried out by the Officers and Staff of Agricultural Wages | ||
| 102 | Division.", | 102 | Division.", | ||
| 103 | "mimetype": "", | 103 | "mimetype": "", | ||
| 104 | "mimetype_inner": null, | 104 | "mimetype_inner": null, | ||
| 105 | "name": "Agricultural Wages", | 105 | "name": "Agricultural Wages", | ||
| 106 | "no_indicators": "2", | 106 | "no_indicators": "2", | ||
| 107 | "package_id": "918fa3db-eb6e-4c23-9b95-65f868015cd8", | 107 | "package_id": "918fa3db-eb6e-4c23-9b95-65f868015cd8", | ||
| 108 | "position": 0, | 108 | "position": 0, | ||
| 109 | "resource_type": null, | 109 | "resource_type": null, | ||
| 110 | "similar_datasets": "", | 110 | "similar_datasets": "", | ||
| 111 | "size": 86332595, | 111 | "size": 86332595, | ||
| 112 | "sku": "moafw-agricultural_wages-ol-mn-aji", | 112 | "sku": "moafw-agricultural_wages-ol-mn-aji", | ||
| 113 | "state": "active", | 113 | "state": "active", | ||
| 114 | "states_uts_no": "21", | 114 | "states_uts_no": "21", | ||
| 115 | "tags": "", | 115 | "tags": "", | ||
| 116 | "tehsil_no": "", | 116 | "tehsil_no": "", | ||
| 117 | "url": | 117 | "url": | ||
| 118 | 06e6e-ed37-44f5-90d8-15dd6f02b853/download/agri_wages_08_06_2022.csv", | 118 | 06e6e-ed37-44f5-90d8-15dd6f02b853/download/agri_wages_08_06_2022.csv", | ||
| 119 | "url_type": "upload", | 119 | "url_type": "upload", | ||
| 120 | "village_no": "", | 120 | "village_no": "", | ||
| 121 | "years_covered": "2010-2020" | 121 | "years_covered": "2010-2020" | ||
| 122 | } | 122 | } | ||
| 123 | ], | 123 | ], | ||
| 124 | "sector": [ | 124 | "sector": [ | ||
| 125 | "Economy", | 125 | "Economy", | ||
| 126 | "Food and Agriculture" | 126 | "Food and Agriculture" | ||
| 127 | ], | 127 | ], | ||
| 128 | "source_name": "Ministry of Agriculture & Farmers Welfare", | 128 | "source_name": "Ministry of Agriculture & Farmers Welfare", | ||
| 129 | "state": "active", | 129 | "state": "active", | ||
| 130 | "tags": [ | 130 | "tags": [ | ||
| 131 | { | 131 | { | ||
| 132 | "display_name": "agriculture", | 132 | "display_name": "agriculture", | ||
| 133 | "id": "0cb82dc4-0059-4945-87dc-f84892ef303e", | 133 | "id": "0cb82dc4-0059-4945-87dc-f84892ef303e", | ||
| 134 | "name": "agriculture", | 134 | "name": "agriculture", | ||
| 135 | "state": "active", | 135 | "state": "active", | ||
| 136 | "vocabulary_id": null | 136 | "vocabulary_id": null | ||
| 137 | }, | 137 | }, | ||
| 138 | { | 138 | { | ||
| 139 | "display_name": "labour", | 139 | "display_name": "labour", | ||
| 140 | "id": "0647d2a5-0da1-4759-906a-a1e415cdb452", | 140 | "id": "0647d2a5-0da1-4759-906a-a1e415cdb452", | ||
| 141 | "name": "labour", | 141 | "name": "labour", | ||
| 142 | "state": "active", | 142 | "state": "active", | ||
| 143 | "vocabulary_id": null | 143 | "vocabulary_id": null | ||
| 144 | }, | 144 | }, | ||
| 145 | { | 145 | { | ||
| 146 | "display_name": "wages", | 146 | "display_name": "wages", | ||
| 147 | "id": "4aaeca34-8edc-4981-91fe-b4eb8962fce0", | 147 | "id": "4aaeca34-8edc-4981-91fe-b4eb8962fce0", | ||
| 148 | "name": "wages", | 148 | "name": "wages", | ||
| 149 | "state": "active", | 149 | "state": "active", | ||
| 150 | "vocabulary_id": null | 150 | "vocabulary_id": null | ||
| 151 | } | 151 | } | ||
| 152 | ], | 152 | ], | ||
| 153 | "title": "Agricultural Wages", | 153 | "title": "Agricultural Wages", | ||
| 154 | "type": "dataset", | 154 | "type": "dataset", | ||
| 155 | "url": "https://eands.dacnet.nic.in/latest_2006.html", | 155 | "url": "https://eands.dacnet.nic.in/latest_2006.html", | ||
| 156 | "version": null | 156 | "version": null | ||
| 157 | } | 157 | } |