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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": "id, year, state_name, state_code, factories, | 9 | "value": "id, year, state_name, state_code, factories, | ||
| 10 | fixed_capital, productive_capital, invested_capital, workers, | 10 | fixed_capital, productive_capital, invested_capital, workers, | ||
| 11 | total_persons_engages, wages_to_wages, total_emoluments, total_input, | 11 | total_persons_engages, wages_to_wages, total_emoluments, total_input, | ||
| 12 | total_output, depriciation, net_value_added, rent_paid, interest_paid" | 12 | total_output, depriciation, net_value_added, rent_paid, interest_paid" | ||
| 13 | } | 13 | } | ||
| 14 | ], | 14 | ], | ||
| 15 | "groups": [], | 15 | "groups": [], | ||
| 16 | "id": "c9094d6a-069f-479d-a6f0-d26412474139", | 16 | "id": "c9094d6a-069f-479d-a6f0-d26412474139", | ||
| 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": "2023-10-07T07:17:15.025486", | 23 | "metadata_created": "2023-10-07T07:17:15.025486", | ||
| t | 24 | "metadata_modified": "2025-12-19T08:10:01.900156", | t | 24 | "metadata_modified": "2025-12-19T10:17:53.620337", |
| 25 | "name": "survey-of-industries", | 25 | "name": "survey-of-industries", | ||
| 26 | "notes": "The \"Survey of Industries\" package offers annual data on | 26 | "notes": "The \"Survey of Industries\" package offers annual data on | ||
| 27 | the economic landscape of different industries. It includes | 27 | the economic landscape of different industries. It includes | ||
| 28 | sector-wise analysis, economic indicators, regional insights, policy | 28 | sector-wise analysis, economic indicators, regional insights, policy | ||
| 29 | impacts, comparative assessments, and forecasts. This dataset is | 29 | impacts, comparative assessments, and forecasts. This dataset is | ||
| 30 | valuable for policymakers, economists, analysts, and businesses for | 30 | valuable for policymakers, economists, analysts, and businesses for | ||
| 31 | understanding industry dynamics and making informed decisions.", | 31 | understanding industry dynamics and making informed decisions.", | ||
| 32 | "num_resources": 1, | 32 | "num_resources": 1, | ||
| 33 | "num_tags": 3, | 33 | "num_tags": 3, | ||
| 34 | "organization": { | 34 | "organization": { | ||
| 35 | "approval_status": "approved", | 35 | "approval_status": "approved", | ||
| 36 | "created": "2022-12-05T03:44:54.080358", | 36 | "created": "2022-12-05T03:44:54.080358", | ||
| 37 | "description": "", | 37 | "description": "", | ||
| 38 | "id": "94317457-d297-4549-9640-7865034682c5", | 38 | "id": "94317457-d297-4549-9640-7865034682c5", | ||
| 39 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | 39 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | ||
| 40 | "is_organization": true, | 40 | "is_organization": true, | ||
| 41 | "name": "idp-organization", | 41 | "name": "idp-organization", | ||
| 42 | "state": "active", | 42 | "state": "active", | ||
| 43 | "title": "IDP organization", | 43 | "title": "IDP organization", | ||
| 44 | "type": "organization" | 44 | "type": "organization" | ||
| 45 | }, | 45 | }, | ||
| 46 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | 46 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | ||
| 47 | "private": false, | 47 | "private": false, | ||
| 48 | "relationships_as_object": [], | 48 | "relationships_as_object": [], | ||
| 49 | "relationships_as_subject": [], | 49 | "relationships_as_subject": [], | ||
| 50 | "resources": [ | 50 | "resources": [ | ||
| 51 | { | 51 | { | ||
| 52 | "additional_info": "nan", | 52 | "additional_info": "nan", | ||
| 53 | "cache_last_updated": null, | 53 | "cache_last_updated": null, | ||
| 54 | "cache_url": null, | 54 | "cache_url": null, | ||
| 55 | "created": "2023-10-07T07:19:46.563278", | 55 | "created": "2023-10-07T07:19:46.563278", | ||
| 56 | "data_extraction_page": "Annual Survey Of Industries Reprt Table | 56 | "data_extraction_page": "Annual Survey Of Industries Reprt Table | ||
| 57 | 4: Estimate of some important characteristics by State", | 57 | 4: Estimate of some important characteristics by State", | ||
| 58 | "data_insights": "Data insights that can be drawn:\nTrend | 58 | "data_insights": "Data insights that can be drawn:\nTrend | ||
| 59 | Analysis: Observing growth or decline of industries by analyzing | 59 | Analysis: Observing growth or decline of industries by analyzing | ||
| 60 | factors like number of factories, fixed capital, productive capital, | 60 | factors like number of factories, fixed capital, productive capital, | ||
| 61 | etc., over different years.\nState-wise Analysis: Comparing economic | 61 | etc., over different years.\nState-wise Analysis: Comparing economic | ||
| 62 | performance, scale of operations, or industrial health across | 62 | performance, scale of operations, or industrial health across | ||
| 63 | states.\nProductivity Assessment: Comparing 'Net value added' against | 63 | states.\nProductivity Assessment: Comparing 'Net value added' against | ||
| 64 | the 'Number of workers' or 'Total persons engaged' to gauge | 64 | the 'Number of workers' or 'Total persons engaged' to gauge | ||
| 65 | productivity.\nFinancial Health: Insight into the profitability of | 65 | productivity.\nFinancial Health: Insight into the profitability of | ||
| 66 | industries by comparing 'Total output' with 'Total input', and taking | 66 | industries by comparing 'Total output' with 'Total input', and taking | ||
| 67 | into account factors like 'Depreciation', 'Rent Paid', and 'Interest | 67 | into account factors like 'Depreciation', 'Rent Paid', and 'Interest | ||
| 68 | Paid'.\nWorkforce Analysis: Understanding the remuneration structures | 68 | Paid'.\nWorkforce Analysis: Understanding the remuneration structures | ||
| 69 | by comparing 'Wages to wages' with 'Total emoluments'.\nCost Analysis: | 69 | by comparing 'Wages to wages' with 'Total emoluments'.\nCost Analysis: | ||
| 70 | Breaking down the operational costs by evaluating 'Fixed capital', | 70 | Breaking down the operational costs by evaluating 'Fixed capital', | ||
| 71 | 'Productive capital', 'Invested capital', and more.", | 71 | 'Productive capital', 'Invested capital', and more.", | ||
| 72 | "data_last_updated": "2019-20", | 72 | "data_last_updated": "2019-20", | ||
| 73 | "data_retreival_date": "2023-10-07 00:00:00", | 73 | "data_retreival_date": "2023-10-07 00:00:00", | ||
| 74 | "datastore_active": true, | 74 | "datastore_active": true, | ||
| 75 | "description": "The dataset sourced from the \"Annual Survey Of | 75 | "description": "The dataset sourced from the \"Annual Survey Of | ||
| 76 | Industries Report Table 4: Estimate of some important characteristics | 76 | Industries Report Table 4: Estimate of some important characteristics | ||
| 77 | by State.\" It captures critical economic attributes, focusing on | 77 | by State.\" It captures critical economic attributes, focusing on | ||
| 78 | various financial and operational metrics related to industries on a | 78 | various financial and operational metrics related to industries on a | ||
| 79 | state-wise basis for different years. The data offers insights into | 79 | state-wise basis for different years. The data offers insights into | ||
| 80 | the financial health, operation scale, and productivity of industries | 80 | the financial health, operation scale, and productivity of industries | ||
| 81 | in different states.", | 81 | in different states.", | ||
| 82 | "district_no": "", | 82 | "district_no": "", | ||
| 83 | "format": "CSV", | 83 | "format": "CSV", | ||
| 84 | "frequency": "Yearly", | 84 | "frequency": "Yearly", | ||
| 85 | "geo_columns": [ | 85 | "geo_columns": [ | ||
| 86 | "state_code" | 86 | "state_code" | ||
| 87 | ], | 87 | ], | ||
| 88 | "gp_no": "", | 88 | "gp_no": "", | ||
| 89 | "granularity": "State", | 89 | "granularity": "State", | ||
| 90 | "hash": "", | 90 | "hash": "", | ||
| 91 | "id": "2d35e116-0b5e-4913-b269-cde9f7aea3f5", | 91 | "id": "2d35e116-0b5e-4913-b269-cde9f7aea3f5", | ||
| 92 | "idp_ready": true, | 92 | "idp_ready": true, | ||
| 93 | "last_modified": "2024-04-10T15:36:58.695041", | 93 | "last_modified": "2024-04-10T15:36:58.695041", | ||
| 94 | "lgd_mapping": "yes", | 94 | "lgd_mapping": "yes", | ||
| 95 | "metadata_modified": "2025-12-19T08:10:01.904402", | 95 | "metadata_modified": "2025-12-19T08:10:01.904402", | ||
| 96 | "methodology": "This dataset is presumably collated from annual | 96 | "methodology": "This dataset is presumably collated from annual | ||
| 97 | surveys conducted by the relevant governmental or regulatory bodies. | 97 | surveys conducted by the relevant governmental or regulatory bodies. | ||
| 98 | These surveys usually target factories and industries in various | 98 | These surveys usually target factories and industries in various | ||
| 99 | states to collect information on their operations, finances, | 99 | states to collect information on their operations, finances, | ||
| 100 | workforce, and more. Data is gathered either through direct reporting | 100 | workforce, and more. Data is gathered either through direct reporting | ||
| 101 | by industries, field visits, or electronic means. Once collected, the | 101 | by industries, field visits, or electronic means. Once collected, the | ||
| 102 | data is cleansed, standardized, and tabulated state-wise for different | 102 | data is cleansed, standardized, and tabulated state-wise for different | ||
| 103 | years.", | 103 | years.", | ||
| 104 | "mimetype": "text/csv", | 104 | "mimetype": "text/csv", | ||
| 105 | "mimetype_inner": null, | 105 | "mimetype_inner": null, | ||
| 106 | "name": "Annual Economic Landscape of Industries", | 106 | "name": "Annual Economic Landscape of Industries", | ||
| 107 | "no_indicators": "14", | 107 | "no_indicators": "14", | ||
| 108 | "package_id": "c9094d6a-069f-479d-a6f0-d26412474139", | 108 | "package_id": "c9094d6a-069f-479d-a6f0-d26412474139", | ||
| 109 | "position": 0, | 109 | "position": 0, | ||
| 110 | "resource_type": null, | 110 | "resource_type": null, | ||
| 111 | "similar_datasets": [], | 111 | "similar_datasets": [], | ||
| 112 | "size": 49873, | 112 | "size": 49873, | ||
| 113 | "sku": "mospi-asi_economic_charcteristics-st-yr-aaa", | 113 | "sku": "mospi-asi_economic_charcteristics-st-yr-aaa", | ||
| 114 | "state": "active", | 114 | "state": "active", | ||
| 115 | "states_uts_no": "36", | 115 | "states_uts_no": "36", | ||
| 116 | "tags": [ | 116 | "tags": [ | ||
| 117 | "Industrial Survey", | 117 | "Industrial Survey", | ||
| 118 | "Economic Metrics", | 118 | "Economic Metrics", | ||
| 119 | "Financial Health", | 119 | "Financial Health", | ||
| 120 | "Workforce Analysis", | 120 | "Workforce Analysis", | ||
| 121 | "Productivity", | 121 | "Productivity", | ||
| 122 | "Depreciation Analysis", | 122 | "Depreciation Analysis", | ||
| 123 | "Cost Analysis", | 123 | "Cost Analysis", | ||
| 124 | "Industry Trends" | 124 | "Industry Trends" | ||
| 125 | ], | 125 | ], | ||
| 126 | "tehsil_no": "", | 126 | "tehsil_no": "", | ||
| 127 | "url": | 127 | "url": | ||
| 128 | 69-cde9f7aea3f5/download/annual-economic-landscape-of-industries.csv", | 128 | 69-cde9f7aea3f5/download/annual-economic-landscape-of-industries.csv", | ||
| 129 | "url_type": "upload", | 129 | "url_type": "upload", | ||
| 130 | "village_no": "", | 130 | "village_no": "", | ||
| 131 | "years_covered": "2011-2020" | 131 | "years_covered": "2011-2020" | ||
| 132 | } | 132 | } | ||
| 133 | ], | 133 | ], | ||
| 134 | "sector": [ | 134 | "sector": [ | ||
| 135 | "Economy" | 135 | "Economy" | ||
| 136 | ], | 136 | ], | ||
| 137 | "source_name": "Ministry of Statistics & Programme Implementation", | 137 | "source_name": "Ministry of Statistics & Programme Implementation", | ||
| 138 | "state": "active", | 138 | "state": "active", | ||
| 139 | "tags": [ | 139 | "tags": [ | ||
| 140 | { | 140 | { | ||
| 141 | "display_name": "Economy", | 141 | "display_name": "Economy", | ||
| 142 | "id": "0e71306a-8cc7-4dc6-822f-cdd8ec82605b", | 142 | "id": "0e71306a-8cc7-4dc6-822f-cdd8ec82605b", | ||
| 143 | "name": "Economy", | 143 | "name": "Economy", | ||
| 144 | "state": "active", | 144 | "state": "active", | ||
| 145 | "vocabulary_id": null | 145 | "vocabulary_id": null | ||
| 146 | }, | 146 | }, | ||
| 147 | { | 147 | { | ||
| 148 | "display_name": "industries", | 148 | "display_name": "industries", | ||
| 149 | "id": "12861911-ba59-4849-bb36-1208e9f4ae74", | 149 | "id": "12861911-ba59-4849-bb36-1208e9f4ae74", | ||
| 150 | "name": "industries", | 150 | "name": "industries", | ||
| 151 | "state": "active", | 151 | "state": "active", | ||
| 152 | "vocabulary_id": null | 152 | "vocabulary_id": null | ||
| 153 | } | 153 | } | ||
| 154 | ], | 154 | ], | ||
| 155 | "title": "Survey of Industries", | 155 | "title": "Survey of Industries", | ||
| 156 | "type": "dataset", | 156 | "type": "dataset", | ||
| 157 | "url": "https://mospi.gov.in/asi-summary-results", | 157 | "url": "https://mospi.gov.in/asi-summary-results", | ||
| 158 | "version": null | 158 | "version": null | ||
| 159 | } | 159 | } |