Changes
On January 21, 2025, 8:17:09 AM UTC,
-
No fields were updated. See the metadata diff for more details.
| 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": "6089db1c-3ea8-4ab7-9b08-b75c4ec653d0", | 7 | "id": "6089db1c-3ea8-4ab7-9b08-b75c4ec653d0", | ||
| 8 | "isopen": false, | 8 | "isopen": false, | ||
| 9 | "license_id": "notspecified", | 9 | "license_id": "notspecified", | ||
| 10 | "license_title": "License not specified", | 10 | "license_title": "License not specified", | ||
| 11 | "maintainer": null, | 11 | "maintainer": null, | ||
| 12 | "maintainer_email": null, | 12 | "maintainer_email": null, | ||
| 13 | "metadata_created": "2024-12-31T10:55:14.627589", | 13 | "metadata_created": "2024-12-31T10:55:14.627589", | ||
| t | 14 | "metadata_modified": "2025-01-20T07:12:23.234424", | t | 14 | "metadata_modified": "2025-01-21T08:17:09.746908", |
| 15 | "methodology": "The dataset is sourced from the VAHAN system, which | 15 | "methodology": "The dataset is sourced from the VAHAN system, which | ||
| 16 | is the official vehicle registration database maintained by the | 16 | is the official vehicle registration database maintained by the | ||
| 17 | Government of India. Data collection is automated through RTOs and | 17 | Government of India. Data collection is automated through RTOs and | ||
| 18 | represents a reliable and accurate source of vehicle registration | 18 | represents a reliable and accurate source of vehicle registration | ||
| 19 | information.", | 19 | information.", | ||
| 20 | "name": "vahan-vehicle-registrations", | 20 | "name": "vahan-vehicle-registrations", | ||
| 21 | "notes": "The \"VAHAN Vehicle Registrations\" dataset provides | 21 | "notes": "The \"VAHAN Vehicle Registrations\" dataset provides | ||
| 22 | comprehensive data on vehicle registrations across India, offering | 22 | comprehensive data on vehicle registrations across India, offering | ||
| 23 | insights into various aspects such as vehicle norms, manufacturers, | 23 | insights into various aspects such as vehicle norms, manufacturers, | ||
| 24 | fuel types, categories, and classes. This dataset includes key | 24 | fuel types, categories, and classes. This dataset includes key | ||
| 25 | variables like the date of registration, state names and codes, | 25 | variables like the date of registration, state names and codes, | ||
| 26 | Regional Transport Office (RTO) names and codes, vehicle | 26 | Regional Transport Office (RTO) names and codes, vehicle | ||
| 27 | manufacturers, fuel types (e.g., petrol, diesel, electric), vehicle | 27 | manufacturers, fuel types (e.g., petrol, diesel, electric), vehicle | ||
| 28 | categories (e.g., two-wheeler, four-wheeler), and vehicle classes. | 28 | categories (e.g., two-wheeler, four-wheeler), and vehicle classes. | ||
| 29 | Additionally, it categorizes data by specific norms, vehicle types, | 29 | Additionally, it categorizes data by specific norms, vehicle types, | ||
| 30 | and other criteria, detailing the number of registrations for each | 30 | and other criteria, detailing the number of registrations for each | ||
| 31 | category. This resource is invaluable for policymakers, transportation | 31 | category. This resource is invaluable for policymakers, transportation | ||
| 32 | authorities, analysts, and the automotive industry, enabling them to | 32 | authorities, analysts, and the automotive industry, enabling them to | ||
| 33 | monitor and understand trends in vehicle registrations, compliance | 33 | monitor and understand trends in vehicle registrations, compliance | ||
| 34 | with regulations, and the environmental impact of fuel usage across | 34 | with regulations, and the environmental impact of fuel usage across | ||
| 35 | different regions and RTOs in India.", | 35 | different regions and RTOs in India.", | ||
| 36 | "num_resources": 1, | 36 | "num_resources": 1, | ||
| 37 | "num_tags": 6, | 37 | "num_tags": 6, | ||
| 38 | "organization": { | 38 | "organization": { | ||
| 39 | "approval_status": "approved", | 39 | "approval_status": "approved", | ||
| 40 | "created": "2024-12-30T15:15:49.364600", | 40 | "created": "2024-12-30T15:15:49.364600", | ||
| 41 | "description": "Contains the metadata of all the high value | 41 | "description": "Contains the metadata of all the high value | ||
| 42 | datasets at IDP", | 42 | datasets at IDP", | ||
| 43 | "id": "b2789e22-4d63-4dfe-a376-ac51320c6ed1", | 43 | "id": "b2789e22-4d63-4dfe-a376-ac51320c6ed1", | ||
| 44 | "image_url": "", | 44 | "image_url": "", | ||
| 45 | "is_organization": true, | 45 | "is_organization": true, | ||
| 46 | "name": "high-value-datasets", | 46 | "name": "high-value-datasets", | ||
| 47 | "state": "active", | 47 | "state": "active", | ||
| 48 | "title": "high-value-datasets", | 48 | "title": "high-value-datasets", | ||
| 49 | "type": "organization" | 49 | "type": "organization" | ||
| 50 | }, | 50 | }, | ||
| 51 | "owner_org": "b2789e22-4d63-4dfe-a376-ac51320c6ed1", | 51 | "owner_org": "b2789e22-4d63-4dfe-a376-ac51320c6ed1", | ||
| 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": "2024-12-31T10:59:53.657752", | 60 | "created": "2024-12-31T10:59:53.657752", | ||
| 61 | "data_extraction_page": | 61 | "data_extraction_page": | ||
| 62 | s://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml", | 62 | s://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml", | ||
| 63 | "data_insights": "The VAHAN Vehicle Registrations dataset offers | 63 | "data_insights": "The VAHAN Vehicle Registrations dataset offers | ||
| 64 | comprehensive insights into vehicle registration trends across India, | 64 | comprehensive insights into vehicle registration trends across India, | ||
| 65 | enabling in-depth analysis of various factors such as vehicle norms, | 65 | enabling in-depth analysis of various factors such as vehicle norms, | ||
| 66 | state and RTO distribution, fuel types, categories, manufacturers, and | 66 | state and RTO distribution, fuel types, categories, manufacturers, and | ||
| 67 | vehicle classes. Users can explore adoption trends based on regulatory | 67 | vehicle classes. Users can explore adoption trends based on regulatory | ||
| 68 | norms, track regional variations in registration patterns across | 68 | norms, track regional variations in registration patterns across | ||
| 69 | states and RTOs, and assess the popularity of different vehicle | 69 | states and RTOs, and assess the popularity of different vehicle | ||
| 70 | categories, including two-wheelers, four-wheelers, electric vehicles, | 70 | categories, including two-wheelers, four-wheelers, electric vehicles, | ||
| 71 | and commercial vehicles. The dataset also provides insights into the | 71 | and commercial vehicles. The dataset also provides insights into the | ||
| 72 | distribution of vehicles by fuel type, including petrol, diesel, and | 72 | distribution of vehicles by fuel type, including petrol, diesel, and | ||
| 73 | eco-friendly options like electric and hybrid vehicles, offering | 73 | eco-friendly options like electric and hybrid vehicles, offering | ||
| 74 | valuable data on environmental impact and sustainability. | 74 | valuable data on environmental impact and sustainability. | ||
| 75 | Additionally, it allows for the analysis of manufacturer performance | 75 | Additionally, it allows for the analysis of manufacturer performance | ||
| 76 | and shifts in vehicle class preferences over time, revealing market | 76 | and shifts in vehicle class preferences over time, revealing market | ||
| 77 | dynamics and consumer behavior. By combining temporal, regional, and | 77 | dynamics and consumer behavior. By combining temporal, regional, and | ||
| 78 | category-based analysis, the dataset enables users to make informed | 78 | category-based analysis, the dataset enables users to make informed | ||
| 79 | decisions and understand the evolving landscape of vehicle | 79 | decisions and understand the evolving landscape of vehicle | ||
| 80 | registrations in India.", | 80 | registrations in India.", | ||
| 81 | "data_last_updated": "", | 81 | "data_last_updated": "", | ||
| 82 | "data_retreival_date": "27-06-2024", | 82 | "data_retreival_date": "27-06-2024", | ||
| 83 | "datastore_active": false, | 83 | "datastore_active": false, | ||
| 84 | "description": "The \"VAHAN Vehicle Registrations\" dataset | 84 | "description": "The \"VAHAN Vehicle Registrations\" dataset | ||
| 85 | provides comprehensive data on vehicle registrations across India, | 85 | provides comprehensive data on vehicle registrations across India, | ||
| 86 | offering insights into various aspects such as vehicle norms, | 86 | offering insights into various aspects such as vehicle norms, | ||
| 87 | manufacturers, fuel types, categories, and classes. This dataset | 87 | manufacturers, fuel types, categories, and classes. This dataset | ||
| 88 | includes key variables like the date of registration, state names and | 88 | includes key variables like the date of registration, state names and | ||
| 89 | codes, Regional Transport Office (RTO) names and codes, vehicle | 89 | codes, Regional Transport Office (RTO) names and codes, vehicle | ||
| 90 | manufacturers, fuel types (e.g., petrol, diesel, electric), vehicle | 90 | manufacturers, fuel types (e.g., petrol, diesel, electric), vehicle | ||
| 91 | categories (e.g., two-wheeler, four-wheeler), and vehicle classes. | 91 | categories (e.g., two-wheeler, four-wheeler), and vehicle classes. | ||
| 92 | Additionally, it categorizes data by specific norms, vehicle types, | 92 | Additionally, it categorizes data by specific norms, vehicle types, | ||
| 93 | and other criteria, detailing the number of registrations for each | 93 | and other criteria, detailing the number of registrations for each | ||
| 94 | category. This resource is invaluable for policymakers, transportation | 94 | category. This resource is invaluable for policymakers, transportation | ||
| 95 | authorities, analysts, and the automotive industry, enabling them to | 95 | authorities, analysts, and the automotive industry, enabling them to | ||
| 96 | monitor and understand trends in vehicle registrations, compliance | 96 | monitor and understand trends in vehicle registrations, compliance | ||
| 97 | with regulations, and the environmental impact of fuel usage across | 97 | with regulations, and the environmental impact of fuel usage across | ||
| 98 | different regions and RTOs in India.", | 98 | different regions and RTOs in India.", | ||
| 99 | "district_no": "", | 99 | "district_no": "", | ||
| 100 | "format": "", | 100 | "format": "", | ||
| 101 | "frequency": "Monthly", | 101 | "frequency": "Monthly", | ||
| 102 | "gp_no": "", | 102 | "gp_no": "", | ||
| 103 | "granularity": "Regional Transport Office", | 103 | "granularity": "Regional Transport Office", | ||
| 104 | "hash": "", | 104 | "hash": "", | ||
| 105 | "id": "808d2b3c-dcdd-48fc-ae6a-cc99e137ec9c", | 105 | "id": "808d2b3c-dcdd-48fc-ae6a-cc99e137ec9c", | ||
| 106 | "idp_ready": false, | 106 | "idp_ready": false, | ||
| 107 | "indicators": [], | 107 | "indicators": [], | ||
| 108 | "last_modified": null, | 108 | "last_modified": null, | ||
| 109 | "lgd_mapping": "yes", | 109 | "lgd_mapping": "yes", | ||
| 110 | "metadata_modified": "2025-01-04T10:25:51.499011", | 110 | "metadata_modified": "2025-01-04T10:25:51.499011", | ||
| 111 | "methodology": "", | 111 | "methodology": "", | ||
| 112 | "mimetype": null, | 112 | "mimetype": null, | ||
| 113 | "mimetype_inner": null, | 113 | "mimetype_inner": null, | ||
| 114 | "name": "VAHAN Vehicle Registrations", | 114 | "name": "VAHAN Vehicle Registrations", | ||
| 115 | "no_indicators": "", | 115 | "no_indicators": "", | ||
| 116 | "package_id": "6089db1c-3ea8-4ab7-9b08-b75c4ec653d0", | 116 | "package_id": "6089db1c-3ea8-4ab7-9b08-b75c4ec653d0", | ||
| 117 | "position": 0, | 117 | "position": 0, | ||
| 118 | "resource_type": null, | 118 | "resource_type": null, | ||
| 119 | "similar_resources": "", | 119 | "similar_resources": "", | ||
| 120 | "size": null, | 120 | "size": null, | ||
| 121 | "sku": "morth-vehicle-registration-ol-mn-abc", | 121 | "sku": "morth-vehicle-registration-ol-mn-abc", | ||
| 122 | "state": "active", | 122 | "state": "active", | ||
| 123 | "states_uts_no": "34", | 123 | "states_uts_no": "34", | ||
| 124 | "tehsil_no": "", | 124 | "tehsil_no": "", | ||
| 125 | "url": "", | 125 | "url": "", | ||
| 126 | "url_type": "", | 126 | "url_type": "", | ||
| 127 | "years_covered": "2019-2024" | 127 | "years_covered": "2019-2024" | ||
| 128 | } | 128 | } | ||
| 129 | ], | 129 | ], | ||
| 130 | "sector": [ | 130 | "sector": [ | ||
| 131 | "Economy", | 131 | "Economy", | ||
| 132 | "Transportation" | 132 | "Transportation" | ||
| 133 | ], | 133 | ], | ||
| 134 | "source_name": "Ministry of Road Transport and Highways", | 134 | "source_name": "Ministry of Road Transport and Highways", | ||
| 135 | "state": "active", | 135 | "state": "active", | ||
| 136 | "tags": [ | 136 | "tags": [ | ||
| 137 | { | 137 | { | ||
| 138 | "display_name": "Energy", | 138 | "display_name": "Energy", | ||
| 139 | "id": "ba4b3e40-55a1-4ada-829a-77b74da9b3e5", | 139 | "id": "ba4b3e40-55a1-4ada-829a-77b74da9b3e5", | ||
| 140 | "name": "Energy", | 140 | "name": "Energy", | ||
| 141 | "state": "active", | 141 | "state": "active", | ||
| 142 | "vocabulary_id": null | 142 | "vocabulary_id": null | ||
| 143 | }, | 143 | }, | ||
| 144 | { | 144 | { | ||
| 145 | "display_name": "Pollution", | 145 | "display_name": "Pollution", | ||
| 146 | "id": "d5bf5b23-d8a5-4adb-ada4-f3a76f78c967", | 146 | "id": "d5bf5b23-d8a5-4adb-ada4-f3a76f78c967", | ||
| 147 | "name": "Pollution", | 147 | "name": "Pollution", | ||
| 148 | "state": "active", | 148 | "state": "active", | ||
| 149 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
| 150 | }, | 150 | }, | ||
| 151 | { | 151 | { | ||
| 152 | "display_name": "Transport", | 152 | "display_name": "Transport", | ||
| 153 | "id": "7482e346-e0b1-474a-8b70-c26c2dbde29b", | 153 | "id": "7482e346-e0b1-474a-8b70-c26c2dbde29b", | ||
| 154 | "name": "Transport", | 154 | "name": "Transport", | ||
| 155 | "state": "active", | 155 | "state": "active", | ||
| 156 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
| 157 | }, | 157 | }, | ||
| 158 | { | 158 | { | ||
| 159 | "display_name": "Vehicle", | 159 | "display_name": "Vehicle", | ||
| 160 | "id": "48d3b058-ee93-4e47-8a32-52b0a68d03b8", | 160 | "id": "48d3b058-ee93-4e47-8a32-52b0a68d03b8", | ||
| 161 | "name": "Vehicle", | 161 | "name": "Vehicle", | ||
| 162 | "state": "active", | 162 | "state": "active", | ||
| 163 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
| 164 | } | 164 | } | ||
| 165 | ], | 165 | ], | ||
| 166 | "title": "VAHAN Vehicle Registrations", | 166 | "title": "VAHAN Vehicle Registrations", | ||
| 167 | "type": "dataset", | 167 | "type": "dataset", | ||
| 168 | "url": "https://parivahan.gov.in/parivahan/", | 168 | "url": "https://parivahan.gov.in/parivahan/", | ||
| 169 | "version": null | 169 | "version": null | ||
| 170 | } | 170 | } |