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On December 19, 2025, 10:18:02 AM UTC,
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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, date, state_name, state_code, office_name, | 9 | "value": "id, date, state_name, state_code, office_name, | ||
| 10 | office_code, type, category, registrations, id, date, state_name, | 10 | office_code, type, category, registrations, id, date, state_name, | ||
| 11 | state_code, office_name, office_code, type, category, registrations, | 11 | state_code, office_name, office_code, type, category, registrations, | ||
| 12 | id, date, state_name, state_code, office_name, office_code, type, | 12 | id, date, state_name, state_code, office_name, office_code, type, | ||
| 13 | category, registrations, id, date, state_name, state_code, | 13 | category, registrations, id, date, state_name, state_code, | ||
| 14 | office_name, office_code, type, category, registrations, id, date, | 14 | office_name, office_code, type, category, registrations, id, date, | ||
| 15 | state_name, state_code, office_name, office_code, type, category, | 15 | state_name, state_code, office_name, office_code, type, category, | ||
| 16 | registrations" | 16 | registrations" | ||
| 17 | } | 17 | } | ||
| 18 | ], | 18 | ], | ||
| 19 | "groups": [], | 19 | "groups": [], | ||
| 20 | "id": "36ea3632-6ec7-43e6-8579-e8c80f7df640", | 20 | "id": "36ea3632-6ec7-43e6-8579-e8c80f7df640", | ||
| 21 | "isopen": true, | 21 | "isopen": true, | ||
| 22 | "license_id": "odc-by", | 22 | "license_id": "odc-by", | ||
| 23 | "license_title": "Open Data Commons Attribution License", | 23 | "license_title": "Open Data Commons Attribution License", | ||
| 24 | "license_url": "http://www.opendefinition.org/licenses/odc-by", | 24 | "license_url": "http://www.opendefinition.org/licenses/odc-by", | ||
| 25 | "maintainer": null, | 25 | "maintainer": null, | ||
| 26 | "maintainer_email": null, | 26 | "maintainer_email": null, | ||
| 27 | "metadata_created": "2023-09-15T05:15:31.350461", | 27 | "metadata_created": "2023-09-15T05:15:31.350461", | ||
| t | 28 | "metadata_modified": "2025-12-19T10:18:01.504118", | t | 28 | "metadata_modified": "2025-12-19T10:18:02.732175", |
| 29 | "name": "vehicle-registrations", | 29 | "name": "vehicle-registrations", | ||
| 30 | "notes": "Vaahan is the official digital platform of the Ministry of | 30 | "notes": "Vaahan is the official digital platform of the Ministry of | ||
| 31 | Road Transport & Highways, Government of India, dedicated to | 31 | Road Transport & Highways, Government of India, dedicated to | ||
| 32 | maintaining a comprehensive national vehicle registry. The platform | 32 | maintaining a comprehensive national vehicle registry. The platform | ||
| 33 | centralizes data pertaining to registered vehicles across India. On | 33 | centralizes data pertaining to registered vehicles across India. On | ||
| 34 | its public dashboard, \"parivahan,\" users can access detailed | 34 | its public dashboard, \"parivahan,\" users can access detailed | ||
| 35 | statistics on monthly vehicle registrations segmented by vehicle type, | 35 | statistics on monthly vehicle registrations segmented by vehicle type, | ||
| 36 | fuel type, make, and other parameters. Additionally, it offers | 36 | fuel type, make, and other parameters. Additionally, it offers | ||
| 37 | insights into vehicle fitness statuses, permits, and other related | 37 | insights into vehicle fitness statuses, permits, and other related | ||
| 38 | services. This data serves as an invaluable resource for stakeholders | 38 | services. This data serves as an invaluable resource for stakeholders | ||
| 39 | looking to understand trends and patterns in India's vehicular | 39 | looking to understand trends and patterns in India's vehicular | ||
| 40 | landscape.", | 40 | landscape.", | ||
| 41 | "num_resources": 5, | 41 | "num_resources": 5, | ||
| 42 | "num_tags": 1, | 42 | "num_tags": 1, | ||
| 43 | "organization": { | 43 | "organization": { | ||
| 44 | "approval_status": "approved", | 44 | "approval_status": "approved", | ||
| 45 | "created": "2022-12-05T03:44:54.080358", | 45 | "created": "2022-12-05T03:44:54.080358", | ||
| 46 | "description": "", | 46 | "description": "", | ||
| 47 | "id": "94317457-d297-4549-9640-7865034682c5", | 47 | "id": "94317457-d297-4549-9640-7865034682c5", | ||
| 48 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | 48 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | ||
| 49 | "is_organization": true, | 49 | "is_organization": true, | ||
| 50 | "name": "idp-organization", | 50 | "name": "idp-organization", | ||
| 51 | "state": "active", | 51 | "state": "active", | ||
| 52 | "title": "IDP organization", | 52 | "title": "IDP organization", | ||
| 53 | "type": "organization" | 53 | "type": "organization" | ||
| 54 | }, | 54 | }, | ||
| 55 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | 55 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | ||
| 56 | "private": false, | 56 | "private": false, | ||
| 57 | "relationships_as_object": [], | 57 | "relationships_as_object": [], | ||
| 58 | "relationships_as_subject": [], | 58 | "relationships_as_subject": [], | ||
| 59 | "resources": [ | 59 | "resources": [ | ||
| 60 | { | 60 | { | ||
| 61 | "additional_info": "nan", | 61 | "additional_info": "nan", | ||
| 62 | "cache_last_updated": null, | 62 | "cache_last_updated": null, | ||
| 63 | "cache_url": null, | 63 | "cache_url": null, | ||
| 64 | "created": "2023-09-15T05:19:25.280453", | 64 | "created": "2023-09-15T05:19:25.280453", | ||
| 65 | "data_extraction_page": | 65 | "data_extraction_page": | ||
| 66 | s://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml", | 66 | s://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml", | ||
| 67 | "data_insights": "The dataset enables users to extract valuable | 67 | "data_insights": "The dataset enables users to extract valuable | ||
| 68 | insights into vehicle registrations across different states, RTOs, and | 68 | insights into vehicle registrations across different states, RTOs, and | ||
| 69 | norms in India. Key insights include:\nNorm-wise Registration Trends: | 69 | norms in India. Key insights include:\nNorm-wise Registration Trends: | ||
| 70 | Users can analyze registration trends based on different norms, | 70 | Users can analyze registration trends based on different norms, | ||
| 71 | providing insights into the adoption and compliance with specific | 71 | providing insights into the adoption and compliance with specific | ||
| 72 | regulations.\nState and RTO Analysis: The dataset allows for | 72 | regulations.\nState and RTO Analysis: The dataset allows for | ||
| 73 | state-wise and RTO-wise analysis of vehicle registrations, aiding in | 73 | state-wise and RTO-wise analysis of vehicle registrations, aiding in | ||
| 74 | understanding regional variations in registration | 74 | understanding regional variations in registration | ||
| 75 | patterns.\nCategorized Registrations: Users can explore registrations | 75 | patterns.\nCategorized Registrations: Users can explore registrations | ||
| 76 | categorized by specific criteria, facilitating in-depth analysis based | 76 | categorized by specific criteria, facilitating in-depth analysis based | ||
| 77 | on the categorization information.", | 77 | on the categorization information.", | ||
| 78 | "data_last_updated": "Updated Monthly", | 78 | "data_last_updated": "Updated Monthly", | ||
| 79 | "data_retreival_date": "2024-06-27 00:00:00", | 79 | "data_retreival_date": "2024-06-27 00:00:00", | ||
| 80 | "datastore_active": true, | 80 | "datastore_active": true, | ||
| 81 | "description": "The \"VAHAN Vehicle Registrations by Norm\" | 81 | "description": "The \"VAHAN Vehicle Registrations by Norm\" | ||
| 82 | dataset provides comprehensive information about vehicle registrations | 82 | dataset provides comprehensive information about vehicle registrations | ||
| 83 | in various states and regional transport offices (RTOs) across India, | 83 | in various states and regional transport offices (RTOs) across India, | ||
| 84 | categorized by norms. It serves as a valuable resource for analyzing | 84 | categorized by norms. It serves as a valuable resource for analyzing | ||
| 85 | vehicle registration trends and compliance with different norms and | 85 | vehicle registration trends and compliance with different norms and | ||
| 86 | regulations. The dataset includes key variables such as the date of | 86 | regulations. The dataset includes key variables such as the date of | ||
| 87 | registration, state names, state codes, RTO names, RTO codes, specific | 87 | registration, state names, state codes, RTO names, RTO codes, specific | ||
| 88 | norms, categorization information, and the number of registrations. | 88 | norms, categorization information, and the number of registrations. | ||
| 89 | This dataset is crucial for policymakers, transportation authorities, | 89 | This dataset is crucial for policymakers, transportation authorities, | ||
| 90 | and analysts interested in monitoring and understanding vehicle | 90 | and analysts interested in monitoring and understanding vehicle | ||
| 91 | registration patterns in India.", | 91 | registration patterns in India.", | ||
| 92 | "district_no": "", | 92 | "district_no": "", | ||
| 93 | "format": "CSV", | 93 | "format": "CSV", | ||
| 94 | "frequency": "Monthly", | 94 | "frequency": "Monthly", | ||
| 95 | "geo_columns": [ | 95 | "geo_columns": [ | ||
| 96 | "state_code" | 96 | "state_code" | ||
| 97 | ], | 97 | ], | ||
| 98 | "gp_no": "", | 98 | "gp_no": "", | ||
| 99 | "granularity": "Regional Transport Office", | 99 | "granularity": "Regional Transport Office", | ||
| 100 | "hash": "", | 100 | "hash": "", | ||
| 101 | "id": "0da46038-d208-4a2f-aae2-ffee6b456c5c", | 101 | "id": "0da46038-d208-4a2f-aae2-ffee6b456c5c", | ||
| 102 | "idp_ready": true, | 102 | "idp_ready": true, | ||
| 103 | "last_modified": "2024-08-28T07:33:43.867741", | 103 | "last_modified": "2024-08-28T07:33:43.867741", | ||
| 104 | "lgd_mapping": "yes", | 104 | "lgd_mapping": "yes", | ||
| 105 | "metadata_modified": "2025-12-19T08:09:50.226429", | 105 | "metadata_modified": "2025-12-19T08:09:50.226429", | ||
| 106 | "methodology": "The dataset is sourced from the VAHAN system, an | 106 | "methodology": "The dataset is sourced from the VAHAN system, an | ||
| 107 | official platform for vehicle-related data maintained by the | 107 | official platform for vehicle-related data maintained by the | ||
| 108 | Government of India. ", | 108 | Government of India. ", | ||
| 109 | "mimetype": "text/csv", | 109 | "mimetype": "text/csv", | ||
| 110 | "mimetype_inner": null, | 110 | "mimetype_inner": null, | ||
| 111 | "name": "VAHAN Vehicle Registrations by Norm", | 111 | "name": "VAHAN Vehicle Registrations by Norm", | ||
| 112 | "no_indicators": "1", | 112 | "no_indicators": "1", | ||
| 113 | "package_id": "36ea3632-6ec7-43e6-8579-e8c80f7df640", | 113 | "package_id": "36ea3632-6ec7-43e6-8579-e8c80f7df640", | ||
| 114 | "position": 0, | 114 | "position": 0, | ||
| 115 | "resource_type": null, | 115 | "resource_type": null, | ||
| 116 | "similar_datasets": [], | 116 | "similar_datasets": [], | ||
| 117 | "size": 31841422, | 117 | "size": 31841422, | ||
| 118 | "sku": "morth-vahan_reg_by_norm-ol-mn-aaa", | 118 | "sku": "morth-vahan_reg_by_norm-ol-mn-aaa", | ||
| 119 | "state": "active", | 119 | "state": "active", | ||
| 120 | "states_uts_no": "34", | 120 | "states_uts_no": "34", | ||
| 121 | "tags": [ | 121 | "tags": [ | ||
| 122 | "Climate Change", | 122 | "Climate Change", | ||
| 123 | "Pollution", | 123 | "Pollution", | ||
| 124 | "Regulations", | 124 | "Regulations", | ||
| 125 | "Norm Compliance" | 125 | "Norm Compliance" | ||
| 126 | ], | 126 | ], | ||
| 127 | "tehsil_no": "", | 127 | "tehsil_no": "", | ||
| 128 | "url": | 128 | "url": | ||
| 129 | f-aae2-ffee6b456c5c/download/vahan-vehicle-registrations-by-norm.csv", | 129 | f-aae2-ffee6b456c5c/download/vahan-vehicle-registrations-by-norm.csv", | ||
| 130 | "url_type": "upload", | 130 | "url_type": "upload", | ||
| 131 | "village_no": "", | 131 | "village_no": "", | ||
| 132 | "years_covered": "2019-2024" | 132 | "years_covered": "2019-2024" | ||
| 133 | }, | 133 | }, | ||
| 134 | { | 134 | { | ||
| 135 | "additional_info": "nan", | 135 | "additional_info": "nan", | ||
| 136 | "cache_last_updated": null, | 136 | "cache_last_updated": null, | ||
| 137 | "cache_url": null, | 137 | "cache_url": null, | ||
| 138 | "created": "2023-09-15T05:32:46.719974", | 138 | "created": "2023-09-15T05:32:46.719974", | ||
| 139 | "data_extraction_page": | 139 | "data_extraction_page": | ||
| 140 | s://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml", | 140 | s://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml", | ||
| 141 | "data_insights": "The dataset enables users to extract valuable | 141 | "data_insights": "The dataset enables users to extract valuable | ||
| 142 | insights into vehicle registrations in India. Key insights | 142 | insights into vehicle registrations in India. Key insights | ||
| 143 | include:\nManufacturer Analysis: Users can analyze vehicle | 143 | include:\nManufacturer Analysis: Users can analyze vehicle | ||
| 144 | registration trends for different manufacturers, providing insights | 144 | registration trends for different manufacturers, providing insights | ||
| 145 | into the popularity of various brands and models.\nCategory-wise | 145 | into the popularity of various brands and models.\nCategory-wise | ||
| 146 | Registration: The dataset allows for the analysis of vehicle | 146 | Registration: The dataset allows for the analysis of vehicle | ||
| 147 | registrations by category, such as two-wheelers, four-wheelers, | 147 | registrations by category, such as two-wheelers, four-wheelers, | ||
| 148 | commercial vehicles, etc., aiding in understanding market | 148 | commercial vehicles, etc., aiding in understanding market | ||
| 149 | segmentation.\nRegional Analysis: Users can examine registration | 149 | segmentation.\nRegional Analysis: Users can examine registration | ||
| 150 | patterns across states and RTO regions, facilitating the | 150 | patterns across states and RTO regions, facilitating the | ||
| 151 | identification of regional preferences and trends.", | 151 | identification of regional preferences and trends.", | ||
| 152 | "data_last_updated": "Updated Monthly", | 152 | "data_last_updated": "Updated Monthly", | ||
| 153 | "data_retreival_date": "2024-06-27 00:00:00", | 153 | "data_retreival_date": "2024-06-27 00:00:00", | ||
| 154 | "datastore_active": true, | 154 | "datastore_active": true, | ||
| 155 | "description": "The \"VAHAN Vehicle Registrations by Maker\" | 155 | "description": "The \"VAHAN Vehicle Registrations by Maker\" | ||
| 156 | dataset provides comprehensive information about vehicle registrations | 156 | dataset provides comprehensive information about vehicle registrations | ||
| 157 | in India, including details about the manufacturer, vehicle category, | 157 | in India, including details about the manufacturer, vehicle category, | ||
| 158 | and the number of registrations. The dataset is a valuable resource | 158 | and the number of registrations. The dataset is a valuable resource | ||
| 159 | for analyzing trends in vehicle registrations by different | 159 | for analyzing trends in vehicle registrations by different | ||
| 160 | manufacturers across various states and regions. It includes essential | 160 | manufacturers across various states and regions. It includes essential | ||
| 161 | variables such as the date of registration, state name, state code, | 161 | variables such as the date of registration, state name, state code, | ||
| 162 | Regional Transport Office (RTO) name and code, vehicle manufacturer, | 162 | Regional Transport Office (RTO) name and code, vehicle manufacturer, | ||
| 163 | vehicle category, and the number of registrations. This dataset is | 163 | vehicle category, and the number of registrations. This dataset is | ||
| 164 | crucial for policymakers, the automotive industry, and analysts | 164 | crucial for policymakers, the automotive industry, and analysts | ||
| 165 | interested in monitoring and understanding vehicle registration | 165 | interested in monitoring and understanding vehicle registration | ||
| 166 | patterns in India.", | 166 | patterns in India.", | ||
| 167 | "district_no": "", | 167 | "district_no": "", | ||
| 168 | "format": "CSV", | 168 | "format": "CSV", | ||
| 169 | "frequency": "Monthly", | 169 | "frequency": "Monthly", | ||
| 170 | "geo_columns": [ | 170 | "geo_columns": [ | ||
| 171 | "state_code" | 171 | "state_code" | ||
| 172 | ], | 172 | ], | ||
| 173 | "gp_no": "", | 173 | "gp_no": "", | ||
| 174 | "granularity": "Regional Transport Office", | 174 | "granularity": "Regional Transport Office", | ||
| 175 | "hash": "", | 175 | "hash": "", | ||
| 176 | "id": "fdbcf474-cef2-474c-993f-00c18134bfc8", | 176 | "id": "fdbcf474-cef2-474c-993f-00c18134bfc8", | ||
| 177 | "idp_ready": true, | 177 | "idp_ready": true, | ||
| 178 | "last_modified": "2024-08-28T07:44:04.007767", | 178 | "last_modified": "2024-08-28T07:44:04.007767", | ||
| 179 | "lgd_mapping": "yes", | 179 | "lgd_mapping": "yes", | ||
| 180 | "metadata_modified": "2025-12-19T08:09:51.936131", | 180 | "metadata_modified": "2025-12-19T08:09:51.936131", | ||
| 181 | "methodology": "The dataset is compiled from official records | 181 | "methodology": "The dataset is compiled from official records | ||
| 182 | and data provided by the VAHAN system, a government portal for | 182 | and data provided by the VAHAN system, a government portal for | ||
| 183 | vehicle-related information", | 183 | vehicle-related information", | ||
| 184 | "mimetype": "text/csv", | 184 | "mimetype": "text/csv", | ||
| 185 | "mimetype_inner": null, | 185 | "mimetype_inner": null, | ||
| 186 | "name": "VAHAN Vehicle Registrations by Maker", | 186 | "name": "VAHAN Vehicle Registrations by Maker", | ||
| 187 | "no_indicators": "1", | 187 | "no_indicators": "1", | ||
| 188 | "package_id": "36ea3632-6ec7-43e6-8579-e8c80f7df640", | 188 | "package_id": "36ea3632-6ec7-43e6-8579-e8c80f7df640", | ||
| 189 | "position": 1, | 189 | "position": 1, | ||
| 190 | "resource_type": null, | 190 | "resource_type": null, | ||
| 191 | "similar_datasets": [], | 191 | "similar_datasets": [], | ||
| 192 | "size": 287195178, | 192 | "size": 287195178, | ||
| 193 | "sku": "morth-vahan_reg_by_maker-ol-mn-aaa", | 193 | "sku": "morth-vahan_reg_by_maker-ol-mn-aaa", | ||
| 194 | "state": "active", | 194 | "state": "active", | ||
| 195 | "states_uts_no": "34", | 195 | "states_uts_no": "34", | ||
| 196 | "tags": [ | 196 | "tags": [ | ||
| 197 | "Motor Vehicles", | 197 | "Motor Vehicles", | ||
| 198 | "Automobile Sales", | 198 | "Automobile Sales", | ||
| 199 | "Vehicle Manufacturers\n Transportation Data" | 199 | "Vehicle Manufacturers\n Transportation Data" | ||
| 200 | ], | 200 | ], | ||
| 201 | "tehsil_no": "", | 201 | "tehsil_no": "", | ||
| 202 | "url": | 202 | "url": | ||
| 203 | -993f-00c18134bfc8/download/vahan-vehicle-registrations-by-maker.csv", | 203 | -993f-00c18134bfc8/download/vahan-vehicle-registrations-by-maker.csv", | ||
| 204 | "url_type": "upload", | 204 | "url_type": "upload", | ||
| 205 | "village_no": "", | 205 | "village_no": "", | ||
| 206 | "years_covered": "2019-2024" | 206 | "years_covered": "2019-2024" | ||
| 207 | }, | 207 | }, | ||
| 208 | { | 208 | { | ||
| 209 | "additional_info": "nan", | 209 | "additional_info": "nan", | ||
| 210 | "cache_last_updated": null, | 210 | "cache_last_updated": null, | ||
| 211 | "cache_url": null, | 211 | "cache_url": null, | ||
| 212 | "created": "2023-09-15T07:14:21.907296", | 212 | "created": "2023-09-15T07:14:21.907296", | ||
| 213 | "data_extraction_page": | 213 | "data_extraction_page": | ||
| 214 | s://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml", | 214 | s://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml", | ||
| 215 | "data_insights": "The dataset enables users to extract valuable | 215 | "data_insights": "The dataset enables users to extract valuable | ||
| 216 | insights into vehicle registrations by fuel type in different states | 216 | insights into vehicle registrations by fuel type in different states | ||
| 217 | and RTOs in India. Key insights include:\nFuel Type Distribution: | 217 | and RTOs in India. Key insights include:\nFuel Type Distribution: | ||
| 218 | Users can analyze the distribution of vehicles based on fuel types, | 218 | Users can analyze the distribution of vehicles based on fuel types, | ||
| 219 | providing insights into the prevalence of petrol, diesel, electric, or | 219 | providing insights into the prevalence of petrol, diesel, electric, or | ||
| 220 | other fuel types.\nRegional Analysis: The dataset allows for regional | 220 | other fuel types.\nRegional Analysis: The dataset allows for regional | ||
| 221 | analysis, including state-wise and RTO-wise breakdowns, enabling the | 221 | analysis, including state-wise and RTO-wise breakdowns, enabling the | ||
| 222 | identification of areas with specific vehicle trends.\nEnvironmental | 222 | identification of areas with specific vehicle trends.\nEnvironmental | ||
| 223 | Impact: Users can assess the environmental impact by tracking | 223 | Impact: Users can assess the environmental impact by tracking | ||
| 224 | registrations of eco-friendly vehicles, such as electric or hybrid | 224 | registrations of eco-friendly vehicles, such as electric or hybrid | ||
| 225 | cars, over time.", | 225 | cars, over time.", | ||
| 226 | "data_last_updated": "Updated Monthly", | 226 | "data_last_updated": "Updated Monthly", | ||
| 227 | "data_retreival_date": "2024-06-27 00:00:00", | 227 | "data_retreival_date": "2024-06-27 00:00:00", | ||
| 228 | "datastore_active": true, | 228 | "datastore_active": true, | ||
| 229 | "description": "The \"VAHAN Vehicle Registrations by Fuel Type\" | 229 | "description": "The \"VAHAN Vehicle Registrations by Fuel Type\" | ||
| 230 | dataset provides information about vehicle registrations in India, | 230 | dataset provides information about vehicle registrations in India, | ||
| 231 | segmented by fuel type. It is a valuable resource for understanding | 231 | segmented by fuel type. It is a valuable resource for understanding | ||
| 232 | the distribution of vehicles based on fuel types across different | 232 | the distribution of vehicles based on fuel types across different | ||
| 233 | states and regional transport offices (RTOs). The dataset includes key | 233 | states and regional transport offices (RTOs). The dataset includes key | ||
| 234 | variables such as the date of registration, state names, state codes, | 234 | variables such as the date of registration, state names, state codes, | ||
| 235 | RTO names, RTO codes, fuel types (e.g., petrol, diesel, electric), | 235 | RTO names, RTO codes, fuel types (e.g., petrol, diesel, electric), | ||
| 236 | vehicle categories (e.g., two-wheeler, four-wheeler), and the number | 236 | vehicle categories (e.g., two-wheeler, four-wheeler), and the number | ||
| 237 | of registrations. This dataset is essential for policymakers, | 237 | of registrations. This dataset is essential for policymakers, | ||
| 238 | transportation planners, and analysts interested in monitoring vehicle | 238 | transportation planners, and analysts interested in monitoring vehicle | ||
| 239 | trends and environmental impact related to fuel usage in India.", | 239 | trends and environmental impact related to fuel usage in India.", | ||
| 240 | "district_no": "", | 240 | "district_no": "", | ||
| 241 | "format": "CSV", | 241 | "format": "CSV", | ||
| 242 | "frequency": "Monthly", | 242 | "frequency": "Monthly", | ||
| 243 | "geo_columns": [ | 243 | "geo_columns": [ | ||
| 244 | "state_code" | 244 | "state_code" | ||
| 245 | ], | 245 | ], | ||
| 246 | "gp_no": "", | 246 | "gp_no": "", | ||
| 247 | "granularity": "Regional Transport Office", | 247 | "granularity": "Regional Transport Office", | ||
| 248 | "hash": "", | 248 | "hash": "", | ||
| 249 | "id": "c9d109c7-8190-4a67-8166-0be1487db419", | 249 | "id": "c9d109c7-8190-4a67-8166-0be1487db419", | ||
| 250 | "idp_ready": true, | 250 | "idp_ready": true, | ||
| 251 | "last_modified": "2024-08-28T09:53:40.195811", | 251 | "last_modified": "2024-08-28T09:53:40.195811", | ||
| 252 | "lgd_mapping": "yes", | 252 | "lgd_mapping": "yes", | ||
| 253 | "metadata_modified": "2025-12-19T08:09:53.769874", | 253 | "metadata_modified": "2025-12-19T08:09:53.769874", | ||
| 254 | "methodology": "The dataset is sourced from the VAHAN system, | 254 | "methodology": "The dataset is sourced from the VAHAN system, | ||
| 255 | which is the official vehicle registration database maintained by the | 255 | which is the official vehicle registration database maintained by the | ||
| 256 | Government of India. Data collection is automated through RTOs and | 256 | Government of India. Data collection is automated through RTOs and | ||
| 257 | represents a reliable and accurate source of vehicle registration | 257 | represents a reliable and accurate source of vehicle registration | ||
| 258 | information.", | 258 | information.", | ||
| 259 | "mimetype": "text/csv", | 259 | "mimetype": "text/csv", | ||
| 260 | "mimetype_inner": null, | 260 | "mimetype_inner": null, | ||
| 261 | "name": "VAHAN Vehicle Registrations by Fuel Type", | 261 | "name": "VAHAN Vehicle Registrations by Fuel Type", | ||
| 262 | "no_indicators": "1", | 262 | "no_indicators": "1", | ||
| 263 | "package_id": "36ea3632-6ec7-43e6-8579-e8c80f7df640", | 263 | "package_id": "36ea3632-6ec7-43e6-8579-e8c80f7df640", | ||
| 264 | "position": 2, | 264 | "position": 2, | ||
| 265 | "resource_type": null, | 265 | "resource_type": null, | ||
| 266 | "similar_datasets": [], | 266 | "similar_datasets": [], | ||
| 267 | "size": 35499553, | 267 | "size": 35499553, | ||
| 268 | "sku": "morth-vahan_reg_by_fuel-ol-mn-aaa", | 268 | "sku": "morth-vahan_reg_by_fuel-ol-mn-aaa", | ||
| 269 | "state": "active", | 269 | "state": "active", | ||
| 270 | "states_uts_no": "34", | 270 | "states_uts_no": "34", | ||
| 271 | "tags": [ | 271 | "tags": [ | ||
| 272 | "Motor Vehicles", | 272 | "Motor Vehicles", | ||
| 273 | "Energy", | 273 | "Energy", | ||
| 274 | "Pollution", | 274 | "Pollution", | ||
| 275 | "Climate Change\n Vehicle Registrations" | 275 | "Climate Change\n Vehicle Registrations" | ||
| 276 | ], | 276 | ], | ||
| 277 | "tehsil_no": "", | 277 | "tehsil_no": "", | ||
| 278 | "url": | 278 | "url": | ||
| 279 | 6-0be1487db419/download/vahan-vehicle-registrations-by-fuel-type.csv", | 279 | 6-0be1487db419/download/vahan-vehicle-registrations-by-fuel-type.csv", | ||
| 280 | "url_type": "upload", | 280 | "url_type": "upload", | ||
| 281 | "village_no": "", | 281 | "village_no": "", | ||
| 282 | "years_covered": "2019-2024" | 282 | "years_covered": "2019-2024" | ||
| 283 | }, | 283 | }, | ||
| 284 | { | 284 | { | ||
| 285 | "additional_info": "nan", | 285 | "additional_info": "nan", | ||
| 286 | "cache_last_updated": null, | 286 | "cache_last_updated": null, | ||
| 287 | "cache_url": null, | 287 | "cache_url": null, | ||
| 288 | "created": "2023-09-15T07:22:43.880132", | 288 | "created": "2023-09-15T07:22:43.880132", | ||
| 289 | "data_extraction_page": | 289 | "data_extraction_page": | ||
| 290 | s://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml", | 290 | s://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml", | ||
| 291 | "data_insights": "The dataset enables users to extract valuable | 291 | "data_insights": "The dataset enables users to extract valuable | ||
| 292 | insights into vehicle registrations by category across different | 292 | insights into vehicle registrations by category across different | ||
| 293 | states and RTOs in India. Key insights include:\nState-wise | 293 | states and RTOs in India. Key insights include:\nState-wise | ||
| 294 | Registration Analysis: Users can analyze vehicle registration trends | 294 | Registration Analysis: Users can analyze vehicle registration trends | ||
| 295 | in various states, providing insights into the distribution of | 295 | in various states, providing insights into the distribution of | ||
| 296 | vehicles by category.\nRTO-level Analysis: The dataset allows for a | 296 | vehicles by category.\nRTO-level Analysis: The dataset allows for a | ||
| 297 | detailed analysis of vehicle registrations at the level of regional | 297 | detailed analysis of vehicle registrations at the level of regional | ||
| 298 | transport offices (RTOs), aiding in understanding local registration | 298 | transport offices (RTOs), aiding in understanding local registration | ||
| 299 | patterns.\nCategory-wise Breakdown: Users can categorize vehicle | 299 | patterns.\nCategory-wise Breakdown: Users can categorize vehicle | ||
| 300 | registrations based on defined criteria and analyze the distribution | 300 | registrations based on defined criteria and analyze the distribution | ||
| 301 | of vehicles in each category.\nTemporal Analysis: Tracking | 301 | of vehicles in each category.\nTemporal Analysis: Tracking | ||
| 302 | registration trends over time helps identify changes and patterns in | 302 | registration trends over time helps identify changes and patterns in | ||
| 303 | vehicle registration behavior.", | 303 | vehicle registration behavior.", | ||
| 304 | "data_last_updated": "Updated Monthly", | 304 | "data_last_updated": "Updated Monthly", | ||
| 305 | "data_retreival_date": "2024-06-27 00:00:00", | 305 | "data_retreival_date": "2024-06-27 00:00:00", | ||
| 306 | "datastore_active": true, | 306 | "datastore_active": true, | ||
| 307 | "description": "The \"VAHAN Vehicle Registrations by Vehicle | 307 | "description": "The \"VAHAN Vehicle Registrations by Vehicle | ||
| 308 | Category\" dataset provides comprehensive information about vehicle | 308 | Category\" dataset provides comprehensive information about vehicle | ||
| 309 | registrations categorized by vehicle category across various states | 309 | registrations categorized by vehicle category across various states | ||
| 310 | and regional transport offices (RTOs) in India. It serves as a | 310 | and regional transport offices (RTOs) in India. It serves as a | ||
| 311 | valuable resource for understanding the distribution of vehicle | 311 | valuable resource for understanding the distribution of vehicle | ||
| 312 | registrations, including details such as state names, state codes, RTO | 312 | registrations, including details such as state names, state codes, RTO | ||
| 313 | names, RTO codes, vehicle categories, the categorization criteria, and | 313 | names, RTO codes, vehicle categories, the categorization criteria, and | ||
| 314 | the number of registrations. This dataset is instrumental for | 314 | the number of registrations. This dataset is instrumental for | ||
| 315 | policymakers, transportation authorities, and analysts interested in | 315 | policymakers, transportation authorities, and analysts interested in | ||
| 316 | monitoring and analyzing vehicle registration trends in India.", | 316 | monitoring and analyzing vehicle registration trends in India.", | ||
| 317 | "district_no": "", | 317 | "district_no": "", | ||
| 318 | "format": "CSV", | 318 | "format": "CSV", | ||
| 319 | "frequency": "Monthly", | 319 | "frequency": "Monthly", | ||
| 320 | "geo_columns": [ | 320 | "geo_columns": [ | ||
| 321 | "state_code" | 321 | "state_code" | ||
| 322 | ], | 322 | ], | ||
| 323 | "gp_no": "", | 323 | "gp_no": "", | ||
| 324 | "granularity": "Regional Transport Office", | 324 | "granularity": "Regional Transport Office", | ||
| 325 | "hash": "", | 325 | "hash": "", | ||
| 326 | "id": "f9381a4d-7fc9-4a13-8e11-31e5790c2bc7", | 326 | "id": "f9381a4d-7fc9-4a13-8e11-31e5790c2bc7", | ||
| 327 | "idp_ready": true, | 327 | "idp_ready": true, | ||
| 328 | "last_modified": "2024-08-28T09:55:38.941396", | 328 | "last_modified": "2024-08-28T09:55:38.941396", | ||
| 329 | "lgd_mapping": "yes", | 329 | "lgd_mapping": "yes", | ||
| 330 | "metadata_modified": "2025-12-19T08:09:55.284954", | 330 | "metadata_modified": "2025-12-19T08:09:55.284954", | ||
| 331 | "methodology": "The dataset is collected and maintained by the | 331 | "methodology": "The dataset is collected and maintained by the | ||
| 332 | VAHAN system, an official platform of the Ministry of Road Transport | 332 | VAHAN system, an official platform of the Ministry of Road Transport | ||
| 333 | and Highways, Government of India.", | 333 | and Highways, Government of India.", | ||
| 334 | "mimetype": "text/csv", | 334 | "mimetype": "text/csv", | ||
| 335 | "mimetype_inner": null, | 335 | "mimetype_inner": null, | ||
| 336 | "name": "VAHAN Vehicle Registrations by Vehicle Category", | 336 | "name": "VAHAN Vehicle Registrations by Vehicle Category", | ||
| 337 | "no_indicators": "1", | 337 | "no_indicators": "1", | ||
| 338 | "package_id": "36ea3632-6ec7-43e6-8579-e8c80f7df640", | 338 | "package_id": "36ea3632-6ec7-43e6-8579-e8c80f7df640", | ||
| 339 | "position": 3, | 339 | "position": 3, | ||
| 340 | "resource_type": null, | 340 | "resource_type": null, | ||
| 341 | "similar_datasets": [], | 341 | "similar_datasets": [], | ||
| 342 | "size": 62681811, | 342 | "size": 62681811, | ||
| 343 | "sku": "morth-vahan_reg_by_vehicle_category-ol-mn-aaa", | 343 | "sku": "morth-vahan_reg_by_vehicle_category-ol-mn-aaa", | ||
| 344 | "state": "active", | 344 | "state": "active", | ||
| 345 | "states_uts_no": "34", | 345 | "states_uts_no": "34", | ||
| 346 | "tags": [ | 346 | "tags": [ | ||
| 347 | "Vehicle Sales Composition", | 347 | "Vehicle Sales Composition", | ||
| 348 | "Household Consumption", | 348 | "Household Consumption", | ||
| 349 | "Vehicle Categories\n Transportation Data" | 349 | "Vehicle Categories\n Transportation Data" | ||
| 350 | ], | 350 | ], | ||
| 351 | "tehsil_no": "", | 351 | "tehsil_no": "", | ||
| 352 | "url": | 352 | "url": | ||
| 353 | 90c2bc7/download/vahan-vehicle-registrations-by-vehicle-category.csv", | 353 | 90c2bc7/download/vahan-vehicle-registrations-by-vehicle-category.csv", | ||
| 354 | "url_type": "upload", | 354 | "url_type": "upload", | ||
| 355 | "village_no": "", | 355 | "village_no": "", | ||
| 356 | "years_covered": "2019-2024" | 356 | "years_covered": "2019-2024" | ||
| 357 | }, | 357 | }, | ||
| 358 | { | 358 | { | ||
| 359 | "additional_info": "nan", | 359 | "additional_info": "nan", | ||
| 360 | "cache_last_updated": null, | 360 | "cache_last_updated": null, | ||
| 361 | "cache_url": null, | 361 | "cache_url": null, | ||
| 362 | "created": "2023-09-15T07:34:57.023426", | 362 | "created": "2023-09-15T07:34:57.023426", | ||
| 363 | "data_extraction_page": | 363 | "data_extraction_page": | ||
| 364 | s://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml", | 364 | s://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml", | ||
| 365 | "data_insights": "The dataset enables users to extract valuable | 365 | "data_insights": "The dataset enables users to extract valuable | ||
| 366 | insights into vehicle registrations by vehicle class across different | 366 | insights into vehicle registrations by vehicle class across different | ||
| 367 | states and RTOs in India. Key insights include:\nVehicle Class | 367 | states and RTOs in India. Key insights include:\nVehicle Class | ||
| 368 | Distribution: Users can analyze the distribution of vehicle | 368 | Distribution: Users can analyze the distribution of vehicle | ||
| 369 | registrations across various vehicle classes, helping identify popular | 369 | registrations across various vehicle classes, helping identify popular | ||
| 370 | vehicle types.\nState-wise Analysis: The dataset allows for state-wise | 370 | vehicle types.\nState-wise Analysis: The dataset allows for state-wise | ||
| 371 | analysis of vehicle registrations, aiding in understanding regional | 371 | analysis of vehicle registrations, aiding in understanding regional | ||
| 372 | vehicle preferences.\nRTO-wise Analysis: Users can explore vehicle | 372 | vehicle preferences.\nRTO-wise Analysis: Users can explore vehicle | ||
| 373 | registrations at the RTO level, facilitating a deeper understanding of | 373 | registrations at the RTO level, facilitating a deeper understanding of | ||
| 374 | local registration trends.\nTemporal Analysis: Tracking registrations | 374 | local registration trends.\nTemporal Analysis: Tracking registrations | ||
| 375 | over time enables the identification of trends and seasonality in | 375 | over time enables the identification of trends and seasonality in | ||
| 376 | vehicle registrations.", | 376 | vehicle registrations.", | ||
| 377 | "data_last_updated": "Updated Monthly", | 377 | "data_last_updated": "Updated Monthly", | ||
| 378 | "data_retreival_date": "2024-06-27 00:00:00", | 378 | "data_retreival_date": "2024-06-27 00:00:00", | ||
| 379 | "datastore_active": true, | 379 | "datastore_active": true, | ||
| 380 | "description": "The \"VAHAN Vehicle Registrations by Vehicle | 380 | "description": "The \"VAHAN Vehicle Registrations by Vehicle | ||
| 381 | Class\" dataset provides comprehensive information about vehicle | 381 | Class\" dataset provides comprehensive information about vehicle | ||
| 382 | registrations in various states and regional transport offices (RTOs) | 382 | registrations in various states and regional transport offices (RTOs) | ||
| 383 | in India, categorized by vehicle class. It serves as a valuable | 383 | in India, categorized by vehicle class. It serves as a valuable | ||
| 384 | resource for analyzing the distribution of vehicle registrations | 384 | resource for analyzing the distribution of vehicle registrations | ||
| 385 | across different vehicle classes, states, and RTOs. The dataset | 385 | across different vehicle classes, states, and RTOs. The dataset | ||
| 386 | includes critical variables such as the date of registration, state | 386 | includes critical variables such as the date of registration, state | ||
| 387 | names, state codes, RTO names, RTO codes, vehicle classes, categorized | 387 | names, state codes, RTO names, RTO codes, vehicle classes, categorized | ||
| 388 | classes, and the number of registrations. This dataset is essential | 388 | classes, and the number of registrations. This dataset is essential | ||
| 389 | for policymakers, transportation authorities, and analysts interested | 389 | for policymakers, transportation authorities, and analysts interested | ||
| 390 | in monitoring and analyzing vehicle registration trends in India.", | 390 | in monitoring and analyzing vehicle registration trends in India.", | ||
| 391 | "district_no": "", | 391 | "district_no": "", | ||
| 392 | "format": "CSV", | 392 | "format": "CSV", | ||
| 393 | "frequency": "Monthly", | 393 | "frequency": "Monthly", | ||
| 394 | "geo_columns": [ | 394 | "geo_columns": [ | ||
| 395 | "state_code" | 395 | "state_code" | ||
| 396 | ], | 396 | ], | ||
| 397 | "gp_no": "", | 397 | "gp_no": "", | ||
| 398 | "granularity": "Regional Transport Office", | 398 | "granularity": "Regional Transport Office", | ||
| 399 | "hash": "", | 399 | "hash": "", | ||
| 400 | "id": "cc32d3e2-7ea3-4b6b-94ab-85e57f6a0a3a", | 400 | "id": "cc32d3e2-7ea3-4b6b-94ab-85e57f6a0a3a", | ||
| 401 | "idp_ready": true, | 401 | "idp_ready": true, | ||
| 402 | "last_modified": "2024-08-28T10:04:51.737265", | 402 | "last_modified": "2024-08-28T10:04:51.737265", | ||
| 403 | "lgd_mapping": "yes", | 403 | "lgd_mapping": "yes", | ||
| 404 | "metadata_modified": "2025-12-19T08:09:56.780938", | 404 | "metadata_modified": "2025-12-19T08:09:56.780938", | ||
| 405 | "methodology": "The dataset is compiled from official records | 405 | "methodology": "The dataset is compiled from official records | ||
| 406 | maintained by the Ministry of Road Transport and Highways in India.", | 406 | maintained by the Ministry of Road Transport and Highways in India.", | ||
| 407 | "mimetype": "text/csv", | 407 | "mimetype": "text/csv", | ||
| 408 | "mimetype_inner": null, | 408 | "mimetype_inner": null, | ||
| 409 | "name": "VAHAN Vehicle Registrations by Vehicle Class", | 409 | "name": "VAHAN Vehicle Registrations by Vehicle Class", | ||
| 410 | "no_indicators": "1", | 410 | "no_indicators": "1", | ||
| 411 | "package_id": "36ea3632-6ec7-43e6-8579-e8c80f7df640", | 411 | "package_id": "36ea3632-6ec7-43e6-8579-e8c80f7df640", | ||
| 412 | "position": 4, | 412 | "position": 4, | ||
| 413 | "resource_type": null, | 413 | "resource_type": null, | ||
| 414 | "similar_datasets": [], | 414 | "similar_datasets": [], | ||
| 415 | "size": 86873361, | 415 | "size": 86873361, | ||
| 416 | "sku": "morth-vahan_reg_by_vehicle_class-ol-mn-aaa", | 416 | "sku": "morth-vahan_reg_by_vehicle_class-ol-mn-aaa", | ||
| 417 | "state": "active", | 417 | "state": "active", | ||
| 418 | "states_uts_no": "34", | 418 | "states_uts_no": "34", | ||
| 419 | "tags": [ | 419 | "tags": [ | ||
| 420 | "Transport Vehicles", | 420 | "Transport Vehicles", | ||
| 421 | "Non-Transport Vehicles" | 421 | "Non-Transport Vehicles" | ||
| 422 | ], | 422 | ], | ||
| 423 | "tehsil_no": "", | 423 | "tehsil_no": "", | ||
| 424 | "url": | 424 | "url": | ||
| 425 | e57f6a0a3a/download/vahan-vehicle-registrations-by-vehicle-class.csv", | 425 | e57f6a0a3a/download/vahan-vehicle-registrations-by-vehicle-class.csv", | ||
| 426 | "url_type": "upload", | 426 | "url_type": "upload", | ||
| 427 | "village_no": "", | 427 | "village_no": "", | ||
| 428 | "years_covered": "2019-2024" | 428 | "years_covered": "2019-2024" | ||
| 429 | } | 429 | } | ||
| 430 | ], | 430 | ], | ||
| 431 | "sector": [ | 431 | "sector": [ | ||
| 432 | "Transportation" | 432 | "Transportation" | ||
| 433 | ], | 433 | ], | ||
| 434 | "source_name": "Ministry of Road Transport and Highways", | 434 | "source_name": "Ministry of Road Transport and Highways", | ||
| 435 | "state": "active", | 435 | "state": "active", | ||
| 436 | "title": "Vehicle Registrations", | 436 | "title": "Vehicle Registrations", | ||
| 437 | "type": "dataset", | 437 | "type": "dataset", | ||
| 438 | "url": "https://parivahan.gov.in/parivahan/", | 438 | "url": "https://parivahan.gov.in/parivahan/", | ||
| 439 | "version": null | 439 | "version": null | ||
| 440 | } | 440 | } |