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similar_resources
to46000463-50a7-4d2e-90c9-691ec62b3d2d,4aec6071-ae92-4ff8-add2-659e1c7a0f05,4f6bf507-606c-45de-837c-3eaab13f13ee,1dc6abc0-72aa-478c-bc3b-3f1648eb4b70,eb39d353-6784-438a-9309-585d1011d86c,9fc6f915-f978-465c-b6f2-5ce445dbc621,8952c4b0-9bd3-4ae9-a749-e184484bd148,eb47815b-8b33-4f28-a06d-a0cf253d95cc
in resource Cases Reported and Persons Injured and Died in Traffic Accidents in India
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| 3 | "author": null, | 3 | "author": null, | ||
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| 7 | "id": "086a0183-52bf-4b08-881c-9b69583402a6", | 7 | "id": "086a0183-52bf-4b08-881c-9b69583402a6", | ||
| 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": "2026-02-12T09:10:27.197654", | 13 | "metadata_created": "2026-02-12T09:10:27.197654", | ||
| n | 14 | "metadata_modified": "2026-02-12T11:34:41.813411", | n | 14 | "metadata_modified": "2026-02-12T11:39:55.467528", |
| 15 | "name": "traffic-accidents-in-india", | 15 | "name": "traffic-accidents-in-india", | ||
| 16 | "notes": "The Traffic Accidents in India dataset package, published | 16 | "notes": "The Traffic Accidents in India dataset package, published | ||
| 17 | by the National Crime Records Bureau (NCRB) as part of its annual | 17 | by the National Crime Records Bureau (NCRB) as part of its annual | ||
| 18 | Accidental Deaths and Suicides in India (ADSI) reports, provides a | 18 | Accidental Deaths and Suicides in India (ADSI) reports, provides a | ||
| 19 | comprehensive overview of road, trail and traffic-related accidents | 19 | comprehensive overview of road, trail and traffic-related accidents | ||
| 20 | across all Indian states and union territories. The dataset captures | 20 | across all Indian states and union territories. The dataset captures | ||
| 21 | detailed information on the number of cases, persons injured, and | 21 | detailed information on the number of cases, persons injured, and | ||
| 22 | persons killed in road and train accidents, categorized by type of | 22 | persons killed in road and train accidents, categorized by type of | ||
| 23 | vehicle involved, location, road condition, and cause of the | 23 | vehicle involved, location, road condition, and cause of the | ||
| 24 | accident.", | 24 | accident.", | ||
| 25 | "num_resources": 9, | 25 | "num_resources": 9, | ||
| 26 | "num_tags": 4, | 26 | "num_tags": 4, | ||
| 27 | "organization": { | 27 | "organization": { | ||
| 28 | "approval_status": "approved", | 28 | "approval_status": "approved", | ||
| 29 | "created": "2022-12-05T03:44:54.080358", | 29 | "created": "2022-12-05T03:44:54.080358", | ||
| 30 | "description": "", | 30 | "description": "", | ||
| 31 | "id": "94317457-d297-4549-9640-7865034682c5", | 31 | "id": "94317457-d297-4549-9640-7865034682c5", | ||
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| 33 | "is_organization": true, | 33 | "is_organization": true, | ||
| 34 | "name": "idp-organization", | 34 | "name": "idp-organization", | ||
| 35 | "state": "active", | 35 | "state": "active", | ||
| 36 | "title": "IDP organization", | 36 | "title": "IDP organization", | ||
| 37 | "type": "organization" | 37 | "type": "organization" | ||
| 38 | }, | 38 | }, | ||
| 39 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | 39 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | ||
| 40 | "private": false, | 40 | "private": false, | ||
| 41 | "relationships_as_object": [], | 41 | "relationships_as_object": [], | ||
| 42 | "relationships_as_subject": [], | 42 | "relationships_as_subject": [], | ||
| 43 | "resources": [ | 43 | "resources": [ | ||
| 44 | { | 44 | { | ||
| 45 | "additional_info": "", | 45 | "additional_info": "", | ||
| 46 | "cache_last_updated": null, | 46 | "cache_last_updated": null, | ||
| 47 | "cache_url": null, | 47 | "cache_url": null, | ||
| 48 | "created": "2026-02-12T09:10:27.592527", | 48 | "created": "2026-02-12T09:10:27.592527", | ||
| 49 | "data_extraction_page": | 49 | "data_extraction_page": | ||
| 50 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 50 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 51 | "data_insights": "The Cases Reported and Persons Injured and | 51 | "data_insights": "The Cases Reported and Persons Injured and | ||
| 52 | Died dataset provides crucial insights into India\u2019s road and | 52 | Died dataset provides crucial insights into India\u2019s road and | ||
| 53 | railway safety landscape, highlighting the magnitude and distribution | 53 | railway safety landscape, highlighting the magnitude and distribution | ||
| 54 | of traffic-related injuries and fatalities. The data often reveal a | 54 | of traffic-related injuries and fatalities. The data often reveal a | ||
| 55 | consistent increase in the number of accident cases and injured | 55 | consistent increase in the number of accident cases and injured | ||
| 56 | persons, reflecting the rapid growth of motorization and expansion of | 56 | persons, reflecting the rapid growth of motorization and expansion of | ||
| 57 | road and railway networks. However, trends in fatalities can indicate | 57 | road and railway networks. However, trends in fatalities can indicate | ||
| 58 | how effective existing traffic regulations, enforcement mechanisms, | 58 | how effective existing traffic regulations, enforcement mechanisms, | ||
| 59 | and medical response systems are in mitigating road trauma.", | 59 | and medical response systems are in mitigating road trauma.", | ||
| 60 | "data_last_updated": "30-09-2025", | 60 | "data_last_updated": "30-09-2025", | ||
| 61 | "data_retreival_date": "02-11-2025", | 61 | "data_retreival_date": "02-11-2025", | ||
| 62 | "datastore_active": true, | 62 | "datastore_active": true, | ||
| 63 | "description": "The Cases Reported and Persons Injured and Died | 63 | "description": "The Cases Reported and Persons Injured and Died | ||
| 64 | dataset, published by the National Crime Records Bureau (NCRB) under | 64 | dataset, published by the National Crime Records Bureau (NCRB) under | ||
| 65 | the Accidental Deaths and Suicides in India (ADSI) series, presents | 65 | the Accidental Deaths and Suicides in India (ADSI) series, presents | ||
| 66 | comprehensive data on the scale and severity of road and railway | 66 | comprehensive data on the scale and severity of road and railway | ||
| 67 | traffic accidents across India. It records the number of traffic | 67 | traffic accidents across India. It records the number of traffic | ||
| 68 | accident cases reported, along with the number of persons injured and | 68 | accident cases reported, along with the number of persons injured and | ||
| 69 | persons who died, disaggregated by state, year, and type of road or | 69 | persons who died, disaggregated by state, year, and type of road or | ||
| 70 | vehicle category.", | 70 | vehicle category.", | ||
| 71 | "district_no": "0", | 71 | "district_no": "0", | ||
| 72 | "format": "CSV", | 72 | "format": "CSV", | ||
| 73 | "frequency": "Yearly", | 73 | "frequency": "Yearly", | ||
| 74 | "gp_no": "0", | 74 | "gp_no": "0", | ||
| 75 | "granularity": "State", | 75 | "granularity": "State", | ||
| 76 | "hash": "", | 76 | "hash": "", | ||
| 77 | "id": "b068bed3-df55-46fd-ae52-d5d80ef40a20", | 77 | "id": "b068bed3-df55-46fd-ae52-d5d80ef40a20", | ||
| 78 | "idp_ready": true, | 78 | "idp_ready": true, | ||
| 79 | "indicators": [ | 79 | "indicators": [ | ||
| 80 | "Number of Cases", | 80 | "Number of Cases", | ||
| 81 | "Number of Injured", | 81 | "Number of Injured", | ||
| 82 | "Number of Dead" | 82 | "Number of Dead" | ||
| 83 | ], | 83 | ], | ||
| 84 | "last_modified": "2026-02-12T09:10:27.568941", | 84 | "last_modified": "2026-02-12T09:10:27.568941", | ||
| 85 | "lgd_mapping": "yes", | 85 | "lgd_mapping": "yes", | ||
| 86 | "mapping_status": 100, | 86 | "mapping_status": 100, | ||
| n | 87 | "metadata_modified": "2026-02-12T11:34:41.822343", | n | 87 | "metadata_modified": "2026-02-12T11:39:55.478167", |
| 88 | "methodology": "The Traffic Accidents in India data are compiled | 88 | "methodology": "The Traffic Accidents in India data are compiled | ||
| 89 | and published by the National Crime Records Bureau (NCRB) under the | 89 | and published by the National Crime Records Bureau (NCRB) under the | ||
| 90 | Ministry of Home Affairs, Government of India. The information is | 90 | Ministry of Home Affairs, Government of India. The information is | ||
| 91 | collected annually through a standardized reporting process based on | 91 | collected annually through a standardized reporting process based on | ||
| 92 | the First Information Reports (FIRs) and related police records | 92 | the First Information Reports (FIRs) and related police records | ||
| 93 | maintained at the state and district levels. Each reported traffic | 93 | maintained at the state and district levels. Each reported traffic | ||
| 94 | accident is recorded by local police authorities and categorized | 94 | accident is recorded by local police authorities and categorized | ||
| 95 | according to cause, type of vehicle involved, number of casualties | 95 | according to cause, type of vehicle involved, number of casualties | ||
| 96 | (injured and deceased), and place of occurrence. State Crime Record | 96 | (injured and deceased), and place of occurrence. State Crime Record | ||
| 97 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | 97 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | ||
| 98 | these data and transmit them to the NCRB, which performs data | 98 | these data and transmit them to the NCRB, which performs data | ||
| 99 | validation, consistency checks, and compilation to ensure accuracy and | 99 | validation, consistency checks, and compilation to ensure accuracy and | ||
| 100 | comparability across states and years.", | 100 | comparability across states and years.", | ||
| 101 | "mimetype": null, | 101 | "mimetype": null, | ||
| 102 | "mimetype_inner": null, | 102 | "mimetype_inner": null, | ||
| 103 | "name": "Cases Reported and Persons Injured and Died", | 103 | "name": "Cases Reported and Persons Injured and Died", | ||
| 104 | "no_indicators": "3", | 104 | "no_indicators": "3", | ||
| 105 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | 105 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | ||
| 106 | "position": 0, | 106 | "position": 0, | ||
| 107 | "resource_type": null, | 107 | "resource_type": null, | ||
| t | 108 | "similar_resources": "", | t | 108 | "similar_resources": |
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| 109 | "size": 36302, | 110 | "size": 36302, | ||
| 110 | "sku": | 111 | "sku": | ||
| 111 | rted_and_persons_injured_and_died_due_to_traffic_accidents-st-yr-def", | 112 | rted_and_persons_injured_and_died_due_to_traffic_accidents-st-yr-def", | ||
| 112 | "state": "active", | 113 | "state": "active", | ||
| 113 | "states_uts_no": "36", | 114 | "states_uts_no": "36", | ||
| 114 | "tehsil_no": "0", | 115 | "tehsil_no": "0", | ||
| 115 | "url": | 116 | "url": | ||
| 116 | 5d80ef40a20/download/cases-reported-and-persons-injured-and-died.csv", | 117 | 5d80ef40a20/download/cases-reported-and-persons-injured-and-died.csv", | ||
| 117 | "url_type": "upload", | 118 | "url_type": "upload", | ||
| 118 | "years_covered": "2018 - 2022" | 119 | "years_covered": "2018 - 2022" | ||
| 119 | }, | 120 | }, | ||
| 120 | { | 121 | { | ||
| 121 | "additional_info": "This dataset contains data of previous | 122 | "additional_info": "This dataset contains data of previous | ||
| 122 | years.", | 123 | years.", | ||
| 123 | "cache_last_updated": null, | 124 | "cache_last_updated": null, | ||
| 124 | "cache_url": null, | 125 | "cache_url": null, | ||
| 125 | "created": "2026-02-12T09:20:16.952756", | 126 | "created": "2026-02-12T09:20:16.952756", | ||
| 126 | "data_extraction_page": | 127 | "data_extraction_page": | ||
| 127 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 128 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 128 | "data_insights": "The Mode of Transport-wise Number of Persons | 129 | "data_insights": "The Mode of Transport-wise Number of Persons | ||
| 129 | Died in Road Accidents dataset reveals critical insights into | 130 | Died in Road Accidents dataset reveals critical insights into | ||
| 130 | India\u2019s road safety dynamics by showing which vehicle categories | 131 | India\u2019s road safety dynamics by showing which vehicle categories | ||
| 131 | contribute most to traffic fatalities. Data trends consistently | 132 | contribute most to traffic fatalities. Data trends consistently | ||
| 132 | highlight two-wheeler riders as the most vulnerable group, accounting | 133 | highlight two-wheeler riders as the most vulnerable group, accounting | ||
| 133 | for a significant share of total deaths due to inadequate helmet use, | 134 | for a significant share of total deaths due to inadequate helmet use, | ||
| 134 | speeding, and limited protection. Pedestrians and cyclists also remain | 135 | speeding, and limited protection. Pedestrians and cyclists also remain | ||
| 135 | at high risk, particularly in urban areas with mixed traffic | 136 | at high risk, particularly in urban areas with mixed traffic | ||
| 136 | conditions and limited pedestrian infrastructure.\n\nHeavy vehicles | 137 | conditions and limited pedestrian infrastructure.\n\nHeavy vehicles | ||
| 137 | such as trucks and buses are frequently associated with fatal | 138 | such as trucks and buses are frequently associated with fatal | ||
| 138 | collisions due to their size, load, and higher road exposure, while | 139 | collisions due to their size, load, and higher road exposure, while | ||
| 139 | car and auto rickshaw users face risks tied to speed and congestion in | 140 | car and auto rickshaw users face risks tied to speed and congestion in | ||
| 140 | metropolitan regions. This dataset\u2019s state-wise and annual | 141 | metropolitan regions. This dataset\u2019s state-wise and annual | ||
| 141 | patterns reveal regional variations influenced by road density, | 142 | patterns reveal regional variations influenced by road density, | ||
| 142 | enforcement levels, and driver behavior.", | 143 | enforcement levels, and driver behavior.", | ||
| 143 | "data_last_updated": "30-09-2025", | 144 | "data_last_updated": "30-09-2025", | ||
| 144 | "data_retreival_date": "02-11-2025", | 145 | "data_retreival_date": "02-11-2025", | ||
| 145 | "datastore_active": true, | 146 | "datastore_active": true, | ||
| 146 | "description": "The Mode of Transport-wise Number of Persons | 147 | "description": "The Mode of Transport-wise Number of Persons | ||
| 147 | Died in Road Accidents dataset, published by the National Crime | 148 | Died in Road Accidents dataset, published by the National Crime | ||
| 148 | Records Bureau (NCRB) under the Accidental Deaths and Suicides in | 149 | Records Bureau (NCRB) under the Accidental Deaths and Suicides in | ||
| 149 | India (ADSI) reports, presents a detailed account of fatalities in | 150 | India (ADSI) reports, presents a detailed account of fatalities in | ||
| 150 | road traffic accidents across India, categorized by the type of | 151 | road traffic accidents across India, categorized by the type of | ||
| 151 | vehicle or mode of transport involved. This includes deaths linked to | 152 | vehicle or mode of transport involved. This includes deaths linked to | ||
| 152 | two-wheelers, cars, trucks, buses, tempos, tractors, auto rickshaws, | 153 | two-wheelers, cars, trucks, buses, tempos, tractors, auto rickshaws, | ||
| 153 | bicycles, and other transport modes, along with state and year wise | 154 | bicycles, and other transport modes, along with state and year wise | ||
| 154 | data.", | 155 | data.", | ||
| 155 | "district_no": "0", | 156 | "district_no": "0", | ||
| 156 | "format": "CSV", | 157 | "format": "CSV", | ||
| 157 | "frequency": "Yearly", | 158 | "frequency": "Yearly", | ||
| 158 | "gp_no": "0", | 159 | "gp_no": "0", | ||
| 159 | "granularity": "State", | 160 | "granularity": "State", | ||
| 160 | "hash": "", | 161 | "hash": "", | ||
| 161 | "id": "46000463-50a7-4d2e-90c9-691ec62b3d2d", | 162 | "id": "46000463-50a7-4d2e-90c9-691ec62b3d2d", | ||
| 162 | "idp_ready": false, | 163 | "idp_ready": false, | ||
| 163 | "last_modified": "2026-02-12T09:20:16.914944", | 164 | "last_modified": "2026-02-12T09:20:16.914944", | ||
| 164 | "metadata_modified": "2026-02-12T09:20:20.549562", | 165 | "metadata_modified": "2026-02-12T09:20:20.549562", | ||
| 165 | "methodology": "The Traffic Accidents in India data are compiled | 166 | "methodology": "The Traffic Accidents in India data are compiled | ||
| 166 | and published by the National Crime Records Bureau (NCRB) under the | 167 | and published by the National Crime Records Bureau (NCRB) under the | ||
| 167 | Ministry of Home Affairs, Government of India. The information is | 168 | Ministry of Home Affairs, Government of India. The information is | ||
| 168 | collected annually through a standardized reporting process based on | 169 | collected annually through a standardized reporting process based on | ||
| 169 | the First Information Reports (FIRs) and related police records | 170 | the First Information Reports (FIRs) and related police records | ||
| 170 | maintained at the state and district levels. Each reported traffic | 171 | maintained at the state and district levels. Each reported traffic | ||
| 171 | accident is recorded by local police authorities and categorized | 172 | accident is recorded by local police authorities and categorized | ||
| 172 | according to cause, type of vehicle involved, number of casualties | 173 | according to cause, type of vehicle involved, number of casualties | ||
| 173 | (injured and deceased), and place of occurrence. State Crime Record | 174 | (injured and deceased), and place of occurrence. State Crime Record | ||
| 174 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | 175 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | ||
| 175 | these data and transmit them to the NCRB, which performs data | 176 | these data and transmit them to the NCRB, which performs data | ||
| 176 | validation, consistency checks, and compilation to ensure accuracy and | 177 | validation, consistency checks, and compilation to ensure accuracy and | ||
| 177 | comparability across states and years.", | 178 | comparability across states and years.", | ||
| 178 | "mimetype": "text/csv", | 179 | "mimetype": "text/csv", | ||
| 179 | "mimetype_inner": null, | 180 | "mimetype_inner": null, | ||
| 180 | "name": "Mode of Transport Wise Number of Persons Died in Road | 181 | "name": "Mode of Transport Wise Number of Persons Died in Road | ||
| 181 | Accidents (2018 - 2020)", | 182 | Accidents (2018 - 2020)", | ||
| 182 | "no_indicators": "2", | 183 | "no_indicators": "2", | ||
| 183 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | 184 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | ||
| 184 | "position": 1, | 185 | "position": 1, | ||
| 185 | "resource_type": null, | 186 | "resource_type": null, | ||
| 186 | "similar_datasets": [], | 187 | "similar_datasets": [], | ||
| 187 | "size": 83026, | 188 | "size": 83026, | ||
| 188 | "sku": | 189 | "sku": | ||
| 189 | "ncrb-adsi_mode_of_transport_wise_road_accidents-st-yr-def", | 190 | "ncrb-adsi_mode_of_transport_wise_road_accidents-st-yr-def", | ||
| 190 | "state": "active", | 191 | "state": "active", | ||
| 191 | "states_uts_no": "36", | 192 | "states_uts_no": "36", | ||
| 192 | "tags": [ | 193 | "tags": [ | ||
| 193 | "Mode of Transport Accidents", | 194 | "Mode of Transport Accidents", | ||
| 194 | "Road Accident Fatalities India", | 195 | "Road Accident Fatalities India", | ||
| 195 | "NCRB ADSI", | 196 | "NCRB ADSI", | ||
| 196 | "Two-Wheeler and Pedestrian Deaths", | 197 | "Two-Wheeler and Pedestrian Deaths", | ||
| 197 | "Vehicle Safety and Regulation", | 198 | "Vehicle Safety and Regulation", | ||
| 198 | "Traffic Mortality Statistics", | 199 | "Traffic Mortality Statistics", | ||
| 199 | "Transport Infrastructure and Safety", | 200 | "Transport Infrastructure and Safety", | ||
| 200 | "Road Safety Policy India" | 201 | "Road Safety Policy India" | ||
| 201 | ], | 202 | ], | ||
| 202 | "tehsil_no": "0", | 203 | "tehsil_no": "0", | ||
| 203 | "url": | 204 | "url": | ||
| 204 | ransport-wise-number-of-persons-died-in-road-accidents-2018-2020.csv", | 205 | ransport-wise-number-of-persons-died-in-road-accidents-2018-2020.csv", | ||
| 205 | "url_type": "upload", | 206 | "url_type": "upload", | ||
| 206 | "village_no": "0", | 207 | "village_no": "0", | ||
| 207 | "years_covered": "2018 - 2020" | 208 | "years_covered": "2018 - 2020" | ||
| 208 | }, | 209 | }, | ||
| 209 | { | 210 | { | ||
| 210 | "additional_info": "This dataset contains data of recent | 211 | "additional_info": "This dataset contains data of recent | ||
| 211 | years.", | 212 | years.", | ||
| 212 | "cache_last_updated": null, | 213 | "cache_last_updated": null, | ||
| 213 | "cache_url": null, | 214 | "cache_url": null, | ||
| 214 | "created": "2026-02-12T09:21:20.472666", | 215 | "created": "2026-02-12T09:21:20.472666", | ||
| 215 | "data_extraction_page": | 216 | "data_extraction_page": | ||
| 216 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 217 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 217 | "data_insights": "The Mode of Transport-wise Number of Persons | 218 | "data_insights": "The Mode of Transport-wise Number of Persons | ||
| 218 | Died in Road Accidents dataset reveals critical insights into | 219 | Died in Road Accidents dataset reveals critical insights into | ||
| 219 | India\u2019s road safety dynamics by showing which vehicle categories | 220 | India\u2019s road safety dynamics by showing which vehicle categories | ||
| 220 | contribute most to traffic fatalities. Data trends consistently | 221 | contribute most to traffic fatalities. Data trends consistently | ||
| 221 | highlight two-wheeler riders as the most vulnerable group, accounting | 222 | highlight two-wheeler riders as the most vulnerable group, accounting | ||
| 222 | for a significant share of total deaths due to inadequate helmet use, | 223 | for a significant share of total deaths due to inadequate helmet use, | ||
| 223 | speeding, and limited protection. Pedestrians and cyclists also remain | 224 | speeding, and limited protection. Pedestrians and cyclists also remain | ||
| 224 | at high risk, particularly in urban areas with mixed traffic | 225 | at high risk, particularly in urban areas with mixed traffic | ||
| 225 | conditions and limited pedestrian infrastructure.\n\nHeavy vehicles | 226 | conditions and limited pedestrian infrastructure.\n\nHeavy vehicles | ||
| 226 | such as trucks and buses are frequently associated with fatal | 227 | such as trucks and buses are frequently associated with fatal | ||
| 227 | collisions due to their size, load, and higher road exposure, while | 228 | collisions due to their size, load, and higher road exposure, while | ||
| 228 | car and auto rickshaw users face risks tied to speed and congestion in | 229 | car and auto rickshaw users face risks tied to speed and congestion in | ||
| 229 | metropolitan regions. This dataset\u2019s state-wise and annual | 230 | metropolitan regions. This dataset\u2019s state-wise and annual | ||
| 230 | patterns reveal regional variations influenced by road density, | 231 | patterns reveal regional variations influenced by road density, | ||
| 231 | enforcement levels, and driver behavior.", | 232 | enforcement levels, and driver behavior.", | ||
| 232 | "data_last_updated": "30-09-2025", | 233 | "data_last_updated": "30-09-2025", | ||
| 233 | "data_retreival_date": "02-11-2025", | 234 | "data_retreival_date": "02-11-2025", | ||
| 234 | "datastore_active": true, | 235 | "datastore_active": true, | ||
| 235 | "description": "The Mode of Transport-wise Number of Persons | 236 | "description": "The Mode of Transport-wise Number of Persons | ||
| 236 | Died in Road Accidents dataset, published by the National Crime | 237 | Died in Road Accidents dataset, published by the National Crime | ||
| 237 | Records Bureau (NCRB) under the Accidental Deaths and Suicides in | 238 | Records Bureau (NCRB) under the Accidental Deaths and Suicides in | ||
| 238 | India (ADSI) reports, presents a detailed account of fatalities in | 239 | India (ADSI) reports, presents a detailed account of fatalities in | ||
| 239 | road traffic accidents across India, categorized by the type of | 240 | road traffic accidents across India, categorized by the type of | ||
| 240 | vehicle or mode of transport involved. This includes deaths linked to | 241 | vehicle or mode of transport involved. This includes deaths linked to | ||
| 241 | two-wheelers, cars, trucks, buses, tempos, tractors, auto rickshaws, | 242 | two-wheelers, cars, trucks, buses, tempos, tractors, auto rickshaws, | ||
| 242 | bicycles, and other transport modes, along with state and year wise | 243 | bicycles, and other transport modes, along with state and year wise | ||
| 243 | data.", | 244 | data.", | ||
| 244 | "district_no": "0", | 245 | "district_no": "0", | ||
| 245 | "format": "CSV", | 246 | "format": "CSV", | ||
| 246 | "frequency": "Yearly", | 247 | "frequency": "Yearly", | ||
| 247 | "gp_no": "0", | 248 | "gp_no": "0", | ||
| 248 | "granularity": "State", | 249 | "granularity": "State", | ||
| 249 | "hash": "", | 250 | "hash": "", | ||
| 250 | "id": "4aec6071-ae92-4ff8-add2-659e1c7a0f05", | 251 | "id": "4aec6071-ae92-4ff8-add2-659e1c7a0f05", | ||
| 251 | "idp_ready": false, | 252 | "idp_ready": false, | ||
| 252 | "last_modified": "2026-02-12T09:21:20.439246", | 253 | "last_modified": "2026-02-12T09:21:20.439246", | ||
| 253 | "metadata_modified": "2026-02-12T09:21:23.348152", | 254 | "metadata_modified": "2026-02-12T09:21:23.348152", | ||
| 254 | "methodology": "The Traffic Accidents in India data are compiled | 255 | "methodology": "The Traffic Accidents in India data are compiled | ||
| 255 | and published by the National Crime Records Bureau (NCRB) under the | 256 | and published by the National Crime Records Bureau (NCRB) under the | ||
| 256 | Ministry of Home Affairs, Government of India. The information is | 257 | Ministry of Home Affairs, Government of India. The information is | ||
| 257 | collected annually through a standardized reporting process based on | 258 | collected annually through a standardized reporting process based on | ||
| 258 | the First Information Reports (FIRs) and related police records | 259 | the First Information Reports (FIRs) and related police records | ||
| 259 | maintained at the state and district levels. Each reported traffic | 260 | maintained at the state and district levels. Each reported traffic | ||
| 260 | accident is recorded by local police authorities and categorized | 261 | accident is recorded by local police authorities and categorized | ||
| 261 | according to cause, type of vehicle involved, number of casualties | 262 | according to cause, type of vehicle involved, number of casualties | ||
| 262 | (injured and deceased), and place of occurrence. State Crime Record | 263 | (injured and deceased), and place of occurrence. State Crime Record | ||
| 263 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | 264 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | ||
| 264 | these data and transmit them to the NCRB, which performs data | 265 | these data and transmit them to the NCRB, which performs data | ||
| 265 | validation, consistency checks, and compilation to ensure accuracy and | 266 | validation, consistency checks, and compilation to ensure accuracy and | ||
| 266 | comparability across states and years.", | 267 | comparability across states and years.", | ||
| 267 | "mimetype": "text/csv", | 268 | "mimetype": "text/csv", | ||
| 268 | "mimetype_inner": null, | 269 | "mimetype_inner": null, | ||
| 269 | "name": "Mode of Transport Wise Number of Persons Died in Road | 270 | "name": "Mode of Transport Wise Number of Persons Died in Road | ||
| 270 | Accidents (Onwards 2021)", | 271 | Accidents (Onwards 2021)", | ||
| 271 | "no_indicators": "2", | 272 | "no_indicators": "2", | ||
| 272 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | 273 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | ||
| 273 | "position": 2, | 274 | "position": 2, | ||
| 274 | "resource_type": null, | 275 | "resource_type": null, | ||
| 275 | "similar_datasets": [], | 276 | "similar_datasets": [], | ||
| 276 | "size": 51518, | 277 | "size": 51518, | ||
| 277 | "sku": | 278 | "sku": | ||
| 278 | "ncrb-adsi_mode_of_transport_wise_road_accidents-st-yr-def", | 279 | "ncrb-adsi_mode_of_transport_wise_road_accidents-st-yr-def", | ||
| 279 | "state": "active", | 280 | "state": "active", | ||
| 280 | "states_uts_no": "36", | 281 | "states_uts_no": "36", | ||
| 281 | "tags": [ | 282 | "tags": [ | ||
| 282 | "Mode of Transport Accidents", | 283 | "Mode of Transport Accidents", | ||
| 283 | "Road Accident Fatalities India", | 284 | "Road Accident Fatalities India", | ||
| 284 | "NCRB ADSI", | 285 | "NCRB ADSI", | ||
| 285 | "Two-Wheeler and Pedestrian Deaths", | 286 | "Two-Wheeler and Pedestrian Deaths", | ||
| 286 | "Vehicle Safety and Regulation", | 287 | "Vehicle Safety and Regulation", | ||
| 287 | "Traffic Mortality Statistics", | 288 | "Traffic Mortality Statistics", | ||
| 288 | "Transport Infrastructure and Safety", | 289 | "Transport Infrastructure and Safety", | ||
| 289 | "Road Safety Policy India" | 290 | "Road Safety Policy India" | ||
| 290 | ], | 291 | ], | ||
| 291 | "tehsil_no": "0", | 292 | "tehsil_no": "0", | ||
| 292 | "url": | 293 | "url": | ||
| 293 | sport-wise-number-of-persons-died-in-road-accidents-onwards-2021.csv", | 294 | sport-wise-number-of-persons-died-in-road-accidents-onwards-2021.csv", | ||
| 294 | "url_type": "upload", | 295 | "url_type": "upload", | ||
| 295 | "village_no": "0", | 296 | "village_no": "0", | ||
| 296 | "years_covered": "2021 - 2022" | 297 | "years_covered": "2021 - 2022" | ||
| 297 | }, | 298 | }, | ||
| 298 | { | 299 | { | ||
| 299 | "cache_last_updated": null, | 300 | "cache_last_updated": null, | ||
| 300 | "cache_url": null, | 301 | "cache_url": null, | ||
| 301 | "created": "2026-02-12T09:22:48.648726", | 302 | "created": "2026-02-12T09:22:48.648726", | ||
| 302 | "data_extraction_page": | 303 | "data_extraction_page": | ||
| 303 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 304 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 304 | "data_insights": "The Month of Occurrence-wise Number of Traffic | 305 | "data_insights": "The Month of Occurrence-wise Number of Traffic | ||
| 305 | Accidents dataset reveals distinct seasonal and temporal patterns in | 306 | Accidents dataset reveals distinct seasonal and temporal patterns in | ||
| 306 | road and railway accident trends across India. Analyses often show | 307 | road and railway accident trends across India. Analyses often show | ||
| 307 | peaks in accident cases during months with higher vehicular movement, | 308 | peaks in accident cases during months with higher vehicular movement, | ||
| 308 | such as festive or holiday periods, and during the monsoon season, | 309 | such as festive or holiday periods, and during the monsoon season, | ||
| 309 | when reduced visibility and slippery roads increase collision risks. | 310 | when reduced visibility and slippery roads increase collision risks. | ||
| 310 | Conversely, months with extreme heat or limited travel may show fewer | 311 | Conversely, months with extreme heat or limited travel may show fewer | ||
| 311 | incidents.\n\nBy examining month-wise fluctuations, policymakers can | 312 | incidents.\n\nBy examining month-wise fluctuations, policymakers can | ||
| 312 | correlate accident spikes with traffic volume, weather variations, and | 313 | correlate accident spikes with traffic volume, weather variations, and | ||
| 313 | regional travel behavior, allowing for predictive planning and | 314 | regional travel behavior, allowing for predictive planning and | ||
| 314 | resource allocation such as deploying additional enforcement and | 315 | resource allocation such as deploying additional enforcement and | ||
| 315 | emergency services during high-risk months. These insights are vital | 316 | emergency services during high-risk months. These insights are vital | ||
| 316 | for developing time-targeted road safety campaigns, improving public | 317 | for developing time-targeted road safety campaigns, improving public | ||
| 317 | awareness, and strengthening accident prevention strategies throughout | 318 | awareness, and strengthening accident prevention strategies throughout | ||
| 318 | the year.", | 319 | the year.", | ||
| 319 | "data_last_updated": "30-09-2025", | 320 | "data_last_updated": "30-09-2025", | ||
| 320 | "data_retreival_date": "02-11-2025", | 321 | "data_retreival_date": "02-11-2025", | ||
| 321 | "datastore_active": true, | 322 | "datastore_active": true, | ||
| 322 | "description": "The Month of Occurrence-wise Number of Traffic | 323 | "description": "The Month of Occurrence-wise Number of Traffic | ||
| 323 | Accidents dataset, published by the National Crime Records Bureau | 324 | Accidents dataset, published by the National Crime Records Bureau | ||
| 324 | (NCRB) under the Accidental Deaths and Suicides in India (ADSI) | 325 | (NCRB) under the Accidental Deaths and Suicides in India (ADSI) | ||
| 325 | reports, provides month-by-month statistics on road and railway | 326 | reports, provides month-by-month statistics on road and railway | ||
| 326 | traffic accidents across India. The Month of Occurrence-wise Number of | 327 | traffic accidents across India. The Month of Occurrence-wise Number of | ||
| 327 | Traffic Accidents dataset records the number of accidents reported in | 328 | Traffic Accidents dataset records the number of accidents reported in | ||
| 328 | each month, allowing for an understanding of seasonal and temporal | 329 | each month, allowing for an understanding of seasonal and temporal | ||
| 329 | variations in traffic accident trends.", | 330 | variations in traffic accident trends.", | ||
| 330 | "district_no": "0", | 331 | "district_no": "0", | ||
| 331 | "format": "CSV", | 332 | "format": "CSV", | ||
| 332 | "frequency": "Yearly", | 333 | "frequency": "Yearly", | ||
| 333 | "gp_no": "0", | 334 | "gp_no": "0", | ||
| 334 | "granularity": "State", | 335 | "granularity": "State", | ||
| 335 | "hash": "", | 336 | "hash": "", | ||
| 336 | "id": "4f6bf507-606c-45de-837c-3eaab13f13ee", | 337 | "id": "4f6bf507-606c-45de-837c-3eaab13f13ee", | ||
| 337 | "idp_ready": false, | 338 | "idp_ready": false, | ||
| 338 | "last_modified": "2026-02-12T09:22:48.607744", | 339 | "last_modified": "2026-02-12T09:22:48.607744", | ||
| 339 | "metadata_modified": "2026-02-12T09:22:55.714861", | 340 | "metadata_modified": "2026-02-12T09:22:55.714861", | ||
| 340 | "methodology": "The Traffic Accidents in India data are compiled | 341 | "methodology": "The Traffic Accidents in India data are compiled | ||
| 341 | and published by the National Crime Records Bureau (NCRB) under the | 342 | and published by the National Crime Records Bureau (NCRB) under the | ||
| 342 | Ministry of Home Affairs, Government of India. The information is | 343 | Ministry of Home Affairs, Government of India. The information is | ||
| 343 | collected annually through a standardized reporting process based on | 344 | collected annually through a standardized reporting process based on | ||
| 344 | the First Information Reports (FIRs) and related police records | 345 | the First Information Reports (FIRs) and related police records | ||
| 345 | maintained at the state and district levels. Each reported traffic | 346 | maintained at the state and district levels. Each reported traffic | ||
| 346 | accident is recorded by local police authorities and categorized | 347 | accident is recorded by local police authorities and categorized | ||
| 347 | according to cause, type of vehicle involved, number of casualties | 348 | according to cause, type of vehicle involved, number of casualties | ||
| 348 | (injured and deceased), and place of occurrence. State Crime Record | 349 | (injured and deceased), and place of occurrence. State Crime Record | ||
| 349 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | 350 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | ||
| 350 | these data and transmit them to the NCRB, which performs data | 351 | these data and transmit them to the NCRB, which performs data | ||
| 351 | validation, consistency checks, and compilation to ensure accuracy and | 352 | validation, consistency checks, and compilation to ensure accuracy and | ||
| 352 | comparability across states and years.", | 353 | comparability across states and years.", | ||
| 353 | "mimetype": "text/csv", | 354 | "mimetype": "text/csv", | ||
| 354 | "mimetype_inner": null, | 355 | "mimetype_inner": null, | ||
| 355 | "name": "Month of Occurrence Wise Number of Traffic Accidents", | 356 | "name": "Month of Occurrence Wise Number of Traffic Accidents", | ||
| 356 | "no_indicators": "1", | 357 | "no_indicators": "1", | ||
| 357 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | 358 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | ||
| 358 | "position": 3, | 359 | "position": 3, | ||
| 359 | "resource_type": null, | 360 | "resource_type": null, | ||
| 360 | "similar_datasets": [], | 361 | "similar_datasets": [], | ||
| 361 | "size": 428613, | 362 | "size": 428613, | ||
| 362 | "sku": | 363 | "sku": | ||
| 363 | "ncrb-adsi_month_of_occurrence_wise_traffic_accidents-st-yr-def", | 364 | "ncrb-adsi_month_of_occurrence_wise_traffic_accidents-st-yr-def", | ||
| 364 | "state": "active", | 365 | "state": "active", | ||
| 365 | "states_uts_no": "36", | 366 | "states_uts_no": "36", | ||
| 366 | "tags": [ | 367 | "tags": [ | ||
| 367 | "Traffic Accidents by Month", | 368 | "Traffic Accidents by Month", | ||
| 368 | "Seasonal Accident Trends", | 369 | "Seasonal Accident Trends", | ||
| 369 | "NCRB ADSI", | 370 | "NCRB ADSI", | ||
| 370 | "Road Safety Analysis", | 371 | "Road Safety Analysis", | ||
| 371 | "Temporal Accident Patterns", | 372 | "Temporal Accident Patterns", | ||
| 372 | "Monthly Traffic Data India", | 373 | "Monthly Traffic Data India", | ||
| 373 | "Public Safety and Transport Planning", | 374 | "Public Safety and Transport Planning", | ||
| 374 | "Accident Prevention Strategies" | 375 | "Accident Prevention Strategies" | ||
| 375 | ], | 376 | ], | ||
| 376 | "tehsil_no": "0", | 377 | "tehsil_no": "0", | ||
| 377 | "url": | 378 | "url": | ||
| 378 | ee/download/month-of-occurrence-wise-number-of-traffic-accidents.csv", | 379 | ee/download/month-of-occurrence-wise-number-of-traffic-accidents.csv", | ||
| 379 | "url_type": "upload", | 380 | "url_type": "upload", | ||
| 380 | "village_no": "0", | 381 | "village_no": "0", | ||
| 381 | "years_covered": "2018 - 2022" | 382 | "years_covered": "2018 - 2022" | ||
| 382 | }, | 383 | }, | ||
| 383 | { | 384 | { | ||
| 384 | "cache_last_updated": null, | 385 | "cache_last_updated": null, | ||
| 385 | "cache_url": null, | 386 | "cache_url": null, | ||
| 386 | "created": "2026-02-12T09:33:25.309868", | 387 | "created": "2026-02-12T09:33:25.309868", | ||
| 387 | "data_extraction_page": | 388 | "data_extraction_page": | ||
| 388 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 389 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 389 | "data_insights": "The Time of Occurrence-wise Number of Traffic | 390 | "data_insights": "The Time of Occurrence-wise Number of Traffic | ||
| 390 | Accidents dataset provides critical insights into how the time of day | 391 | Accidents dataset provides critical insights into how the time of day | ||
| 391 | influences the frequency and severity of road and railway accidents | 392 | influences the frequency and severity of road and railway accidents | ||
| 392 | across India. Data patterns typically reveal higher accident rates | 393 | across India. Data patterns typically reveal higher accident rates | ||
| 393 | during evening and nighttime hours, often linked to reduced | 394 | during evening and nighttime hours, often linked to reduced | ||
| 394 | visibility, driver fatigue, and increased instances of impaired | 395 | visibility, driver fatigue, and increased instances of impaired | ||
| 395 | driving. Daytime hours may show elevated cases due to heavy traffic | 396 | driving. Daytime hours may show elevated cases due to heavy traffic | ||
| 396 | volume, while early morning accidents can be associated with | 397 | volume, while early morning accidents can be associated with | ||
| 397 | long-distance travel or reduced alertness.\n\nAnalyzing time-based | 398 | long-distance travel or reduced alertness.\n\nAnalyzing time-based | ||
| 398 | trends allows authorities to identify peak accident windows and | 399 | trends allows authorities to identify peak accident windows and | ||
| 399 | allocate traffic enforcement and medical response resources more | 400 | allocate traffic enforcement and medical response resources more | ||
| 400 | efficiently. Such insights are crucial for data-driven road safety | 401 | efficiently. Such insights are crucial for data-driven road safety | ||
| 401 | management, guiding initiatives like enhanced street lighting, | 402 | management, guiding initiatives like enhanced street lighting, | ||
| 402 | stricter nighttime enforcement, and awareness campaigns targeting | 403 | stricter nighttime enforcement, and awareness campaigns targeting | ||
| 403 | risky driving behaviors during high-risk hours.", | 404 | risky driving behaviors during high-risk hours.", | ||
| 404 | "data_last_updated": "30-09-2025", | 405 | "data_last_updated": "30-09-2025", | ||
| 405 | "data_retreival_date": "02-11-2025", | 406 | "data_retreival_date": "02-11-2025", | ||
| 406 | "datastore_active": true, | 407 | "datastore_active": true, | ||
| 407 | "description": "The Time of Occurrence-wise Number of Traffic | 408 | "description": "The Time of Occurrence-wise Number of Traffic | ||
| 408 | Accidents dataset, published by the National Crime Records Bureau | 409 | Accidents dataset, published by the National Crime Records Bureau | ||
| 409 | (NCRB) under the Accidental Deaths and Suicides in India (ADSI) | 410 | (NCRB) under the Accidental Deaths and Suicides in India (ADSI) | ||
| 410 | reports, presents a detailed breakdown of road and railway traffic | 411 | reports, presents a detailed breakdown of road and railway traffic | ||
| 411 | accidents across India based on the time of day at which they | 412 | accidents across India based on the time of day at which they | ||
| 412 | occurred. The Time of Occurrence-wise Number of Traffic Accidents | 413 | occurred. The Time of Occurrence-wise Number of Traffic Accidents | ||
| 413 | dataset categorizes accidents into time intervals such as early | 414 | dataset categorizes accidents into time intervals such as early | ||
| 414 | morning, daytime, evening, and nighttime, enabling the study of | 415 | morning, daytime, evening, and nighttime, enabling the study of | ||
| 415 | temporal risk patterns related to driving conditions and human | 416 | temporal risk patterns related to driving conditions and human | ||
| 416 | activity levels.", | 417 | activity levels.", | ||
| 417 | "district_no": "0", | 418 | "district_no": "0", | ||
| 418 | "format": "CSV", | 419 | "format": "CSV", | ||
| 419 | "frequency": "Yearly", | 420 | "frequency": "Yearly", | ||
| 420 | "gp_no": "0", | 421 | "gp_no": "0", | ||
| 421 | "granularity": "State", | 422 | "granularity": "State", | ||
| 422 | "hash": "", | 423 | "hash": "", | ||
| 423 | "id": "1dc6abc0-72aa-478c-bc3b-3f1648eb4b70", | 424 | "id": "1dc6abc0-72aa-478c-bc3b-3f1648eb4b70", | ||
| 424 | "idp_ready": false, | 425 | "idp_ready": false, | ||
| 425 | "last_modified": "2026-02-12T09:33:25.264977", | 426 | "last_modified": "2026-02-12T09:33:25.264977", | ||
| 426 | "metadata_modified": "2026-02-12T09:33:30.736002", | 427 | "metadata_modified": "2026-02-12T09:33:30.736002", | ||
| 427 | "methodology": "The Traffic Accidents in India data are compiled | 428 | "methodology": "The Traffic Accidents in India data are compiled | ||
| 428 | and published by the National Crime Records Bureau (NCRB) under the | 429 | and published by the National Crime Records Bureau (NCRB) under the | ||
| 429 | Ministry of Home Affairs, Government of India. The information is | 430 | Ministry of Home Affairs, Government of India. The information is | ||
| 430 | collected annually through a standardized reporting process based on | 431 | collected annually through a standardized reporting process based on | ||
| 431 | the First Information Reports (FIRs) and related police records | 432 | the First Information Reports (FIRs) and related police records | ||
| 432 | maintained at the state and district levels. Each reported traffic | 433 | maintained at the state and district levels. Each reported traffic | ||
| 433 | accident is recorded by local police authorities and categorized | 434 | accident is recorded by local police authorities and categorized | ||
| 434 | according to cause, type of vehicle involved, number of casualties | 435 | according to cause, type of vehicle involved, number of casualties | ||
| 435 | (injured and deceased), and place of occurrence. State Crime Record | 436 | (injured and deceased), and place of occurrence. State Crime Record | ||
| 436 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | 437 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | ||
| 437 | these data and transmit them to the NCRB, which performs data | 438 | these data and transmit them to the NCRB, which performs data | ||
| 438 | validation, consistency checks, and compilation to ensure accuracy and | 439 | validation, consistency checks, and compilation to ensure accuracy and | ||
| 439 | comparability across states and years.", | 440 | comparability across states and years.", | ||
| 440 | "mimetype": "text/csv", | 441 | "mimetype": "text/csv", | ||
| 441 | "mimetype_inner": null, | 442 | "mimetype_inner": null, | ||
| 442 | "name": "Time of Occurrence Wise Number of Traffic Accidents", | 443 | "name": "Time of Occurrence Wise Number of Traffic Accidents", | ||
| 443 | "no_indicators": "1", | 444 | "no_indicators": "1", | ||
| 444 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | 445 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | ||
| 445 | "position": 4, | 446 | "position": 4, | ||
| 446 | "resource_type": null, | 447 | "resource_type": null, | ||
| 447 | "similar_datasets": [], | 448 | "similar_datasets": [], | ||
| 448 | "size": 342364, | 449 | "size": 342364, | ||
| 449 | "sku": | 450 | "sku": | ||
| 450 | "ncrb-adsi_time_of_occurrence_wise_traffic_accidents-st-yr-def", | 451 | "ncrb-adsi_time_of_occurrence_wise_traffic_accidents-st-yr-def", | ||
| 451 | "state": "active", | 452 | "state": "active", | ||
| 452 | "states_uts_no": "36", | 453 | "states_uts_no": "36", | ||
| 453 | "tags": [ | 454 | "tags": [ | ||
| 454 | "Traffic Accidents by Time", | 455 | "Traffic Accidents by Time", | ||
| 455 | "Road Accident Timing Patterns", | 456 | "Road Accident Timing Patterns", | ||
| 456 | "NCRB ADSI", | 457 | "NCRB ADSI", | ||
| 457 | "Nighttime Road Accidents", | 458 | "Nighttime Road Accidents", | ||
| 458 | "Temporal Accident Analysis", | 459 | "Temporal Accident Analysis", | ||
| 459 | "Traffic Safety and Enforcement", | 460 | "Traffic Safety and Enforcement", | ||
| 460 | "Driver Fatigue and Visibility Risks", | 461 | "Driver Fatigue and Visibility Risks", | ||
| 461 | "Road Safety Policy India" | 462 | "Road Safety Policy India" | ||
| 462 | ], | 463 | ], | ||
| 463 | "tehsil_no": "0", | 464 | "tehsil_no": "0", | ||
| 464 | "url": | 465 | "url": | ||
| 465 | b70/download/time-of-occurrence-wise-number-of-traffic-accidents.csv", | 466 | b70/download/time-of-occurrence-wise-number-of-traffic-accidents.csv", | ||
| 466 | "url_type": "upload", | 467 | "url_type": "upload", | ||
| 467 | "village_no": "0", | 468 | "village_no": "0", | ||
| 468 | "years_covered": "2018 - 2022" | 469 | "years_covered": "2018 - 2022" | ||
| 469 | }, | 470 | }, | ||
| 470 | { | 471 | { | ||
| 471 | "cache_last_updated": null, | 472 | "cache_last_updated": null, | ||
| 472 | "cache_url": null, | 473 | "cache_url": null, | ||
| 473 | "created": "2026-02-12T09:34:57.531526", | 474 | "created": "2026-02-12T09:34:57.531526", | ||
| 474 | "data_extraction_page": | 475 | "data_extraction_page": | ||
| 475 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 476 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 476 | "data_insights": "The Road Classification-wise Number of Road | 477 | "data_insights": "The Road Classification-wise Number of Road | ||
| 477 | Accidents, Injuries and Deaths dataset provides key insights into how | 478 | Accidents, Injuries and Deaths dataset provides key insights into how | ||
| 478 | different categories of roads contribute to India\u2019s overall | 479 | different categories of roads contribute to India\u2019s overall | ||
| 479 | traffic accident burden. Data trends typically show that National and | 480 | traffic accident burden. Data trends typically show that National and | ||
| 480 | State Highways, while constituting a smaller portion of total road | 481 | State Highways, while constituting a smaller portion of total road | ||
| 481 | length, account for a disproportionately large share of fatal | 482 | length, account for a disproportionately large share of fatal | ||
| 482 | accidents and injuries due to high traffic volume, speeding, and | 483 | accidents and injuries due to high traffic volume, speeding, and | ||
| 483 | long-distance transport movement. In contrast, rural and district | 484 | long-distance transport movement. In contrast, rural and district | ||
| 484 | roads often experience accidents linked to poor infrastructure, lack | 485 | roads often experience accidents linked to poor infrastructure, lack | ||
| 485 | of lighting, and limited safety measures.\n\nComparative analysis | 486 | of lighting, and limited safety measures.\n\nComparative analysis | ||
| 486 | across road types enables policymakers to identify infrastructure and | 487 | across road types enables policymakers to identify infrastructure and | ||
| 487 | enforcement gaps, such as inadequate signage, unsafe crossings, or | 488 | enforcement gaps, such as inadequate signage, unsafe crossings, or | ||
| 488 | weak surveillance on high-speed corridors. These insights are | 489 | weak surveillance on high-speed corridors. These insights are | ||
| 489 | invaluable for formulating evidence-based road safety policies, | 490 | invaluable for formulating evidence-based road safety policies, | ||
| 490 | prioritizing investment in safer road design, and improving emergency | 491 | prioritizing investment in safer road design, and improving emergency | ||
| 491 | response mechanisms.", | 492 | response mechanisms.", | ||
| 492 | "data_last_updated": "30-09-2025", | 493 | "data_last_updated": "30-09-2025", | ||
| 493 | "data_retreival_date": "02-11-2025", | 494 | "data_retreival_date": "02-11-2025", | ||
| 494 | "datastore_active": true, | 495 | "datastore_active": true, | ||
| 495 | "description": "The Road Classification-wise Number of Road | 496 | "description": "The Road Classification-wise Number of Road | ||
| 496 | Accidents, Injuries and Deaths dataset, published by the National | 497 | Accidents, Injuries and Deaths dataset, published by the National | ||
| 497 | Crime Records Bureau (NCRB) under the Accidental Deaths and Suicides | 498 | Crime Records Bureau (NCRB) under the Accidental Deaths and Suicides | ||
| 498 | in India (ADSI) reports, provides comprehensive data on road traffic | 499 | in India (ADSI) reports, provides comprehensive data on road traffic | ||
| 499 | accidents across India categorized by the type of road where they | 500 | accidents across India categorized by the type of road where they | ||
| 500 | occurred. The The Road Classification-wise Number of Road Accidents, | 501 | occurred. The The Road Classification-wise Number of Road Accidents, | ||
| 501 | Injuries and Deaths dataset includes statistics on the number of | 502 | Injuries and Deaths dataset includes statistics on the number of | ||
| 502 | accidents, persons injured, and persons who died, classified by | 503 | accidents, persons injured, and persons who died, classified by | ||
| 503 | National Highways, State Highways, District Roads, Rural Roads, and | 504 | National Highways, State Highways, District Roads, Rural Roads, and | ||
| 504 | Other Roads.", | 505 | Other Roads.", | ||
| 505 | "district_no": "0", | 506 | "district_no": "0", | ||
| 506 | "format": "CSV", | 507 | "format": "CSV", | ||
| 507 | "frequency": "Yearly", | 508 | "frequency": "Yearly", | ||
| 508 | "gp_no": "0", | 509 | "gp_no": "0", | ||
| 509 | "granularity": "State", | 510 | "granularity": "State", | ||
| 510 | "hash": "", | 511 | "hash": "", | ||
| 511 | "id": "eb39d353-6784-438a-9309-585d1011d86c", | 512 | "id": "eb39d353-6784-438a-9309-585d1011d86c", | ||
| 512 | "idp_ready": false, | 513 | "idp_ready": false, | ||
| 513 | "last_modified": "2026-02-12T09:34:57.497465", | 514 | "last_modified": "2026-02-12T09:34:57.497465", | ||
| 514 | "metadata_modified": "2026-02-12T09:35:00.560190", | 515 | "metadata_modified": "2026-02-12T09:35:00.560190", | ||
| 515 | "methodology": "The Traffic Accidents in India data are compiled | 516 | "methodology": "The Traffic Accidents in India data are compiled | ||
| 516 | and published by the National Crime Records Bureau (NCRB) under the | 517 | and published by the National Crime Records Bureau (NCRB) under the | ||
| 517 | Ministry of Home Affairs, Government of India. The information is | 518 | Ministry of Home Affairs, Government of India. The information is | ||
| 518 | collected annually through a standardized reporting process based on | 519 | collected annually through a standardized reporting process based on | ||
| 519 | the First Information Reports (FIRs) and related police records | 520 | the First Information Reports (FIRs) and related police records | ||
| 520 | maintained at the state and district levels. Each reported traffic | 521 | maintained at the state and district levels. Each reported traffic | ||
| 521 | accident is recorded by local police authorities and categorized | 522 | accident is recorded by local police authorities and categorized | ||
| 522 | according to cause, type of vehicle involved, number of casualties | 523 | according to cause, type of vehicle involved, number of casualties | ||
| 523 | (injured and deceased), and place of occurrence. State Crime Record | 524 | (injured and deceased), and place of occurrence. State Crime Record | ||
| 524 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | 525 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | ||
| 525 | these data and transmit them to the NCRB, which performs data | 526 | these data and transmit them to the NCRB, which performs data | ||
| 526 | validation, consistency checks, and compilation to ensure accuracy and | 527 | validation, consistency checks, and compilation to ensure accuracy and | ||
| 527 | comparability across states and years.", | 528 | comparability across states and years.", | ||
| 528 | "mimetype": "text/csv", | 529 | "mimetype": "text/csv", | ||
| 529 | "mimetype_inner": null, | 530 | "mimetype_inner": null, | ||
| 530 | "name": "Road Classification Wise Number of Road Accidents, | 531 | "name": "Road Classification Wise Number of Road Accidents, | ||
| 531 | Injuries and Deaths", | 532 | Injuries and Deaths", | ||
| 532 | "no_indicators": "3", | 533 | "no_indicators": "3", | ||
| 533 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | 534 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | ||
| 534 | "position": 5, | 535 | "position": 5, | ||
| 535 | "resource_type": null, | 536 | "resource_type": null, | ||
| 536 | "similar_datasets": [], | 537 | "similar_datasets": [], | ||
| 537 | "size": 45270, | 538 | "size": 45270, | ||
| 538 | "sku": "ncrb-adsi_road_accidents_classification-st-yr-def", | 539 | "sku": "ncrb-adsi_road_accidents_classification-st-yr-def", | ||
| 539 | "state": "active", | 540 | "state": "active", | ||
| 540 | "states_uts_no": "36", | 541 | "states_uts_no": "36", | ||
| 541 | "tags": [ | 542 | "tags": [ | ||
| 542 | "Road Accident Statistics India", | 543 | "Road Accident Statistics India", | ||
| 543 | "Road Type and Accident Data", | 544 | "Road Type and Accident Data", | ||
| 544 | "NCRB ADSI", | 545 | "NCRB ADSI", | ||
| 545 | "Highway and Rural Road Safety", | 546 | "Highway and Rural Road Safety", | ||
| 546 | "Traffic Injury and Fatality Analysis", | 547 | "Traffic Injury and Fatality Analysis", | ||
| 547 | "Road Infrastructure and Safety", | 548 | "Road Infrastructure and Safety", | ||
| 548 | "Transport Policy India", | 549 | "Transport Policy India", | ||
| 549 | "Public Safety and Accident Prevention" | 550 | "Public Safety and Accident Prevention" | ||
| 550 | ], | 551 | ], | ||
| 551 | "tehsil_no": "0", | 552 | "tehsil_no": "0", | ||
| 552 | "url": | 553 | "url": | ||
| 553 | classification-wise-number-of-road-accidents-injuries-and-deaths.csv", | 554 | classification-wise-number-of-road-accidents-injuries-and-deaths.csv", | ||
| 554 | "url_type": "upload", | 555 | "url_type": "upload", | ||
| 555 | "village_no": "0", | 556 | "village_no": "0", | ||
| 556 | "years_covered": "2018 - 2022" | 557 | "years_covered": "2018 - 2022" | ||
| 557 | }, | 558 | }, | ||
| 558 | { | 559 | { | ||
| 559 | "cache_last_updated": null, | 560 | "cache_last_updated": null, | ||
| 560 | "cache_url": null, | 561 | "cache_url": null, | ||
| 561 | "created": "2026-02-12T09:36:51.193303", | 562 | "created": "2026-02-12T09:36:51.193303", | ||
| 562 | "data_extraction_page": | 563 | "data_extraction_page": | ||
| 563 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 564 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 564 | "data_insights": "The Cause-wise Distribution of Road Accidents | 565 | "data_insights": "The Cause-wise Distribution of Road Accidents | ||
| 565 | and Unmanned Railway Crossing Accidents dataset provides critical | 566 | and Unmanned Railway Crossing Accidents dataset provides critical | ||
| 566 | insights into the root causes of road traffic and railway crossing | 567 | insights into the root causes of road traffic and railway crossing | ||
| 567 | accidents, enabling evidence-based approaches to accident prevention. | 568 | accidents, enabling evidence-based approaches to accident prevention. | ||
| 568 | Analysis of national trends reveals that overspeeding and driver | 569 | Analysis of national trends reveals that overspeeding and driver | ||
| 569 | negligence are consistently the leading causes of road accidents, | 570 | negligence are consistently the leading causes of road accidents, | ||
| 570 | contributing to the majority of fatalities and injuries. Drunken | 571 | contributing to the majority of fatalities and injuries. Drunken | ||
| 571 | driving, mobile phone usage, and fatigue-related incidents also emerge | 572 | driving, mobile phone usage, and fatigue-related incidents also emerge | ||
| 572 | as major behavioral risk factors.\n\nAt unmanned railway crossings, | 573 | as major behavioral risk factors.\n\nAt unmanned railway crossings, | ||
| 573 | accidents often result from lack of warning systems, poor visibility, | 574 | accidents often result from lack of warning systems, poor visibility, | ||
| 574 | and non-compliance with safety rules, leading to high fatality rates | 575 | and non-compliance with safety rules, leading to high fatality rates | ||
| 575 | in rural and semi-urban regions. Cause-specific analysis helps | 576 | in rural and semi-urban regions. Cause-specific analysis helps | ||
| 576 | identify where to focus enforcement such as stricter speed regulation, | 577 | identify where to focus enforcement such as stricter speed regulation, | ||
| 577 | awareness campaigns on drunk driving, or conversion of unmanned | 578 | awareness campaigns on drunk driving, or conversion of unmanned | ||
| 578 | crossings into manned or automated ones.", | 579 | crossings into manned or automated ones.", | ||
| 579 | "data_last_updated": "30-09-2025", | 580 | "data_last_updated": "30-09-2025", | ||
| 580 | "data_retreival_date": "02-11-2025", | 581 | "data_retreival_date": "02-11-2025", | ||
| 581 | "datastore_active": true, | 582 | "datastore_active": true, | ||
| 582 | "description": "The Cause-wise Distribution of Road Accidents | 583 | "description": "The Cause-wise Distribution of Road Accidents | ||
| 583 | and Unmanned Railway Crossing Accidents dataset, published by the | 584 | and Unmanned Railway Crossing Accidents dataset, published by the | ||
| 584 | National Crime Records Bureau (NCRB) under the Accidental Deaths and | 585 | National Crime Records Bureau (NCRB) under the Accidental Deaths and | ||
| 585 | Suicides in India (ADSI) reports, provides a detailed classification | 586 | Suicides in India (ADSI) reports, provides a detailed classification | ||
| 586 | of traffic accidents across India based on their underlying causes. It | 587 | of traffic accidents across India based on their underlying causes. It | ||
| 587 | includes data on road accidents attributed to factors such as | 588 | includes data on road accidents attributed to factors such as | ||
| 588 | overspeeding, drunken driving, driver fatigue, mechanical failure, bad | 589 | overspeeding, drunken driving, driver fatigue, mechanical failure, bad | ||
| 589 | weather, and road conditions, as well as accidents occurring at | 590 | weather, and road conditions, as well as accidents occurring at | ||
| 590 | unmanned railway crossings.", | 591 | unmanned railway crossings.", | ||
| 591 | "district_no": "0", | 592 | "district_no": "0", | ||
| 592 | "format": "CSV", | 593 | "format": "CSV", | ||
| 593 | "frequency": "Yearly", | 594 | "frequency": "Yearly", | ||
| 594 | "gp_no": "0", | 595 | "gp_no": "0", | ||
| 595 | "granularity": "State", | 596 | "granularity": "State", | ||
| 596 | "hash": "", | 597 | "hash": "", | ||
| 597 | "id": "9fc6f915-f978-465c-b6f2-5ce445dbc621", | 598 | "id": "9fc6f915-f978-465c-b6f2-5ce445dbc621", | ||
| 598 | "idp_ready": false, | 599 | "idp_ready": false, | ||
| 599 | "last_modified": "2026-02-12T09:36:51.155319", | 600 | "last_modified": "2026-02-12T09:36:51.155319", | ||
| 600 | "metadata_modified": "2026-02-12T09:36:55.654117", | 601 | "metadata_modified": "2026-02-12T09:36:55.654117", | ||
| 601 | "methodology": "The Traffic Accidents in India data are compiled | 602 | "methodology": "The Traffic Accidents in India data are compiled | ||
| 602 | and published by the National Crime Records Bureau (NCRB) under the | 603 | and published by the National Crime Records Bureau (NCRB) under the | ||
| 603 | Ministry of Home Affairs, Government of India. The information is | 604 | Ministry of Home Affairs, Government of India. The information is | ||
| 604 | collected annually through a standardized reporting process based on | 605 | collected annually through a standardized reporting process based on | ||
| 605 | the First Information Reports (FIRs) and related police records | 606 | the First Information Reports (FIRs) and related police records | ||
| 606 | maintained at the state and district levels. Each reported traffic | 607 | maintained at the state and district levels. Each reported traffic | ||
| 607 | accident is recorded by local police authorities and categorized | 608 | accident is recorded by local police authorities and categorized | ||
| 608 | according to cause, type of vehicle involved, number of casualties | 609 | according to cause, type of vehicle involved, number of casualties | ||
| 609 | (injured and deceased), and place of occurrence. State Crime Record | 610 | (injured and deceased), and place of occurrence. State Crime Record | ||
| 610 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | 611 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | ||
| 611 | these data and transmit them to the NCRB, which performs data | 612 | these data and transmit them to the NCRB, which performs data | ||
| 612 | validation, consistency checks, and compilation to ensure accuracy and | 613 | validation, consistency checks, and compilation to ensure accuracy and | ||
| 613 | comparability across states and years.", | 614 | comparability across states and years.", | ||
| 614 | "mimetype": "text/csv", | 615 | "mimetype": "text/csv", | ||
| 615 | "mimetype_inner": null, | 616 | "mimetype_inner": null, | ||
| 616 | "name": "Cause Wise Distribution of Road Accidents and Unmanned | 617 | "name": "Cause Wise Distribution of Road Accidents and Unmanned | ||
| 617 | Railway Crossing Accidents", | 618 | Railway Crossing Accidents", | ||
| 618 | "no_indicators": "3", | 619 | "no_indicators": "3", | ||
| 619 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | 620 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | ||
| 620 | "position": 6, | 621 | "position": 6, | ||
| 621 | "resource_type": null, | 622 | "resource_type": null, | ||
| 622 | "similar_datasets": [], | 623 | "similar_datasets": [], | ||
| 623 | "size": 206652, | 624 | "size": 206652, | ||
| 624 | "sku": | 625 | "sku": | ||
| 625 | se_road_accidents_and_unmanned_railway_crossings_accidents-st-yr-def", | 626 | se_road_accidents_and_unmanned_railway_crossings_accidents-st-yr-def", | ||
| 626 | "state": "active", | 627 | "state": "active", | ||
| 627 | "states_uts_no": "36", | 628 | "states_uts_no": "36", | ||
| 628 | "tags": [ | 629 | "tags": [ | ||
| 629 | "Cause-wise Road Accidents", | 630 | "Cause-wise Road Accidents", | ||
| 630 | "Unmanned Railway Crossing Accidents", | 631 | "Unmanned Railway Crossing Accidents", | ||
| 631 | "NCRB ADSI", | 632 | "NCRB ADSI", | ||
| 632 | "Overspeeding and Drunken Driving", | 633 | "Overspeeding and Drunken Driving", | ||
| 633 | "Transport Safety Analysis", | 634 | "Transport Safety Analysis", | ||
| 634 | "Road and Rail Accident Prevention", | 635 | "Road and Rail Accident Prevention", | ||
| 635 | "Public Safety Policy India", | 636 | "Public Safety Policy India", | ||
| 636 | "Accident Cause Statistics" | 637 | "Accident Cause Statistics" | ||
| 637 | ], | 638 | ], | ||
| 638 | "tehsil_no": "0", | 639 | "tehsil_no": "0", | ||
| 639 | "url": | 640 | "url": | ||
| 640 | bution-of-road-accidents-and-unmanned-railway-crossing-accidents.csv", | 641 | bution-of-road-accidents-and-unmanned-railway-crossing-accidents.csv", | ||
| 641 | "url_type": "upload", | 642 | "url_type": "upload", | ||
| 642 | "village_no": "0", | 643 | "village_no": "0", | ||
| 643 | "years_covered": "2018-2022" | 644 | "years_covered": "2018-2022" | ||
| 644 | }, | 645 | }, | ||
| 645 | { | 646 | { | ||
| 646 | "cache_last_updated": null, | 647 | "cache_last_updated": null, | ||
| 647 | "cache_url": null, | 648 | "cache_url": null, | ||
| 648 | "created": "2026-02-12T09:38:31.147629", | 649 | "created": "2026-02-12T09:38:31.147629", | ||
| 649 | "data_extraction_page": | 650 | "data_extraction_page": | ||
| 650 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 651 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 651 | "data_insights": "The Rural and Urban Area-wise Place-specific | 652 | "data_insights": "The Rural and Urban Area-wise Place-specific | ||
| 652 | Road Accident Deaths by Gender dataset reveals significant insights | 653 | Road Accident Deaths by Gender dataset reveals significant insights | ||
| 653 | into how location type, area classification, and gender influence the | 654 | into how location type, area classification, and gender influence the | ||
| 654 | risk of fatal road accidents in India. Data patterns often show that | 655 | risk of fatal road accidents in India. Data patterns often show that | ||
| 655 | urban areas near pedestrian crossings, residential zones, and | 656 | urban areas near pedestrian crossings, residential zones, and | ||
| 656 | factories experience a higher number of deaths due to dense traffic, | 657 | factories experience a higher number of deaths due to dense traffic, | ||
| 657 | mixed mobility, and inadequate pedestrian infrastructure, while rural | 658 | mixed mobility, and inadequate pedestrian infrastructure, while rural | ||
| 658 | areas near schools or religious places show fatalities linked to | 659 | areas near schools or religious places show fatalities linked to | ||
| 659 | limited road safety measures, poor visibility, and lack of | 660 | limited road safety measures, poor visibility, and lack of | ||
| 660 | enforcement.\n\nGender-disaggregated data highlight that men account | 661 | enforcement.\n\nGender-disaggregated data highlight that men account | ||
| 661 | for the majority of fatalities, reflecting greater exposure to public | 662 | for the majority of fatalities, reflecting greater exposure to public | ||
| 662 | roads and occupational mobility, while female and transgender | 663 | roads and occupational mobility, while female and transgender | ||
| 663 | fatalities, though fewer, often occur in proximity to residential and | 664 | fatalities, though fewer, often occur in proximity to residential and | ||
| 664 | community spaces, underscoring the need for inclusive safety | 665 | community spaces, underscoring the need for inclusive safety | ||
| 665 | planning.", | 666 | planning.", | ||
| 666 | "data_last_updated": "30-09-2025", | 667 | "data_last_updated": "30-09-2025", | ||
| 667 | "data_retreival_date": "02-11-2025", | 668 | "data_retreival_date": "02-11-2025", | ||
| 668 | "datastore_active": true, | 669 | "datastore_active": true, | ||
| 669 | "description": "The Place of Occurrence-wise Road Accident | 670 | "description": "The Place of Occurrence-wise Road Accident | ||
| 670 | Deaths dataset, published by the National Crime Records Bureau (NCRB) | 671 | Deaths dataset, published by the National Crime Records Bureau (NCRB) | ||
| 671 | under the Accidental Deaths and Suicides in India (ADSI) reports, | 672 | under the Accidental Deaths and Suicides in India (ADSI) reports, | ||
| 672 | provides a granular breakdown of road accident fatalities across India | 673 | provides a granular breakdown of road accident fatalities across India | ||
| 673 | based on specific places of occurrence. The Place of Occurrence-wise | 674 | based on specific places of occurrence. The Place of Occurrence-wise | ||
| 674 | Road Accident Deaths dataset classifies deaths by location type | 675 | Road Accident Deaths dataset classifies deaths by location type | ||
| 675 | including near schools or colleges, residential areas, religious | 676 | including near schools or colleges, residential areas, religious | ||
| 676 | places, recreation venues, factories, pedestrian crossings, and other | 677 | places, recreation venues, factories, pedestrian crossings, and other | ||
| 677 | areas and further distinguishes data for rural and urban areas, | 678 | areas and further distinguishes data for rural and urban areas, | ||
| 678 | disaggregated by gender.", | 679 | disaggregated by gender.", | ||
| 679 | "district_no": "0", | 680 | "district_no": "0", | ||
| 680 | "format": "CSV", | 681 | "format": "CSV", | ||
| 681 | "frequency": "Yearly", | 682 | "frequency": "Yearly", | ||
| 682 | "gp_no": "0", | 683 | "gp_no": "0", | ||
| 683 | "granularity": "State", | 684 | "granularity": "State", | ||
| 684 | "hash": "", | 685 | "hash": "", | ||
| 685 | "id": "8952c4b0-9bd3-4ae9-a749-e184484bd148", | 686 | "id": "8952c4b0-9bd3-4ae9-a749-e184484bd148", | ||
| 686 | "idp_ready": false, | 687 | "idp_ready": false, | ||
| 687 | "last_modified": "2026-02-12T09:38:31.108414", | 688 | "last_modified": "2026-02-12T09:38:31.108414", | ||
| 688 | "metadata_modified": "2026-02-12T09:38:38.998183", | 689 | "metadata_modified": "2026-02-12T09:38:38.998183", | ||
| 689 | "methodology": "The Traffic Accidents in India data are compiled | 690 | "methodology": "The Traffic Accidents in India data are compiled | ||
| 690 | and published by the National Crime Records Bureau (NCRB) under the | 691 | and published by the National Crime Records Bureau (NCRB) under the | ||
| 691 | Ministry of Home Affairs, Government of India. The information is | 692 | Ministry of Home Affairs, Government of India. The information is | ||
| 692 | collected annually through a standardized reporting process based on | 693 | collected annually through a standardized reporting process based on | ||
| 693 | the First Information Reports (FIRs) and related police records | 694 | the First Information Reports (FIRs) and related police records | ||
| 694 | maintained at the state and district levels. Each reported traffic | 695 | maintained at the state and district levels. Each reported traffic | ||
| 695 | accident is recorded by local police authorities and categorized | 696 | accident is recorded by local police authorities and categorized | ||
| 696 | according to cause, type of vehicle involved, number of casualties | 697 | according to cause, type of vehicle involved, number of casualties | ||
| 697 | (injured and deceased), and place of occurrence. State Crime Record | 698 | (injured and deceased), and place of occurrence. State Crime Record | ||
| 698 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | 699 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | ||
| 699 | these data and transmit them to the NCRB, which performs data | 700 | these data and transmit them to the NCRB, which performs data | ||
| 700 | validation, consistency checks, and compilation to ensure accuracy and | 701 | validation, consistency checks, and compilation to ensure accuracy and | ||
| 701 | comparability across states and years.", | 702 | comparability across states and years.", | ||
| 702 | "mimetype": "text/csv", | 703 | "mimetype": "text/csv", | ||
| 703 | "mimetype_inner": null, | 704 | "mimetype_inner": null, | ||
| 704 | "name": "Place of Occurrence Wise Road Accident Deaths", | 705 | "name": "Place of Occurrence Wise Road Accident Deaths", | ||
| 705 | "no_indicators": "1", | 706 | "no_indicators": "1", | ||
| 706 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | 707 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | ||
| 707 | "position": 7, | 708 | "position": 7, | ||
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| 711 | "sku": "ncrb-adsi_place_of_occurrence_road_accidents-st-yr-def", | 712 | "sku": "ncrb-adsi_place_of_occurrence_road_accidents-st-yr-def", | ||
| 712 | "state": "active", | 713 | "state": "active", | ||
| 713 | "states_uts_no": "36", | 714 | "states_uts_no": "36", | ||
| 714 | "tags": [ | 715 | "tags": [ | ||
| 715 | "Rural and Urban Road Accident Deaths", | 716 | "Rural and Urban Road Accident Deaths", | ||
| 716 | "Place-specific Accident Data", | 717 | "Place-specific Accident Data", | ||
| 717 | "NCRB ADSI", | 718 | "NCRB ADSI", | ||
| 718 | "Gender-wise Road Fatalities", | 719 | "Gender-wise Road Fatalities", | ||
| 719 | "Traffic Safety Near Schools and Residential Areas", | 720 | "Traffic Safety Near Schools and Residential Areas", | ||
| 720 | "Road Accident Hotspots India", | 721 | "Road Accident Hotspots India", | ||
| 721 | "Pedestrian and Factory Area Accidents", | 722 | "Pedestrian and Factory Area Accidents", | ||
| 722 | "Road Safety Policy and Planning" | 723 | "Road Safety Policy and Planning" | ||
| 723 | ], | 724 | ], | ||
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| 727 | "url_type": "upload", | 728 | "url_type": "upload", | ||
| 728 | "village_no": "0", | 729 | "village_no": "0", | ||
| 729 | "years_covered": "2018 - 2022" | 730 | "years_covered": "2018 - 2022" | ||
| 730 | }, | 731 | }, | ||
| 731 | { | 732 | { | ||
| 732 | "additional_info": "This dataset does not include data belongs | 733 | "additional_info": "This dataset does not include data belongs | ||
| 733 | to the year 2022.", | 734 | to the year 2022.", | ||
| 734 | "cache_last_updated": null, | 735 | "cache_last_updated": null, | ||
| 735 | "cache_url": null, | 736 | "cache_url": null, | ||
| 736 | "created": "2026-02-12T09:39:53.149736", | 737 | "created": "2026-02-12T09:39:53.149736", | ||
| 737 | "data_extraction_page": | 738 | "data_extraction_page": | ||
| 738 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 739 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 739 | "data_insights": "The Classification of Railway Accidents | 740 | "data_insights": "The Classification of Railway Accidents | ||
| 740 | dataset reveals crucial insights into the nature, frequency, and | 741 | dataset reveals crucial insights into the nature, frequency, and | ||
| 741 | severity of railway accidents in India. Analysis typically shows that | 742 | severity of railway accidents in India. Analysis typically shows that | ||
| 742 | derailments and accidents at level crossings contribute significantly | 743 | derailments and accidents at level crossings contribute significantly | ||
| 743 | to overall casualties, particularly in regions with high rail traffic | 744 | to overall casualties, particularly in regions with high rail traffic | ||
| 744 | density and limited safety automation. Unmanned level crossings often | 745 | density and limited safety automation. Unmanned level crossings often | ||
| 745 | emerge as key points of vulnerability, accounting for a notable share | 746 | emerge as key points of vulnerability, accounting for a notable share | ||
| 746 | of fatalities due to human error, inadequate warning systems, and poor | 747 | of fatalities due to human error, inadequate warning systems, and poor | ||
| 747 | visibility conditions.\n\nThe Classification of Railway Accidents | 748 | visibility conditions.\n\nThe Classification of Railway Accidents | ||
| 748 | dataset also helps distinguish between operational causes (e.g., | 749 | dataset also helps distinguish between operational causes (e.g., | ||
| 749 | equipment failure, signaling errors) and external causes (e.g., track | 750 | equipment failure, signaling errors) and external causes (e.g., track | ||
| 750 | obstruction, weather, or trespassing). These insights can guide the | 751 | obstruction, weather, or trespassing). These insights can guide the | ||
| 751 | Indian Railways and state governments in implementing safety | 752 | Indian Railways and state governments in implementing safety | ||
| 752 | modernization programs, including the elimination of unmanned | 753 | modernization programs, including the elimination of unmanned | ||
| 753 | crossings, track renewal, advanced signaling systems, and public | 754 | crossings, track renewal, advanced signaling systems, and public | ||
| 754 | awareness campaigns. By analyzing historical and regional patterns, | 755 | awareness campaigns. By analyzing historical and regional patterns, | ||
| 755 | stakeholders can better allocate resources to high-risk zones and | 756 | stakeholders can better allocate resources to high-risk zones and | ||
| 756 | improve rail safety management practices nationwide.", | 757 | improve rail safety management practices nationwide.", | ||
| 757 | "data_last_updated": "30-09-2025", | 758 | "data_last_updated": "30-09-2025", | ||
| 758 | "data_retreival_date": "03-11-2025", | 759 | "data_retreival_date": "03-11-2025", | ||
| 759 | "datastore_active": true, | 760 | "datastore_active": true, | ||
| 760 | "description": "The Classification of Railway Accidents dataset, | 761 | "description": "The Classification of Railway Accidents dataset, | ||
| 761 | published by the National Crime Records Bureau (NCRB) as part of the | 762 | published by the National Crime Records Bureau (NCRB) as part of the | ||
| 762 | Accidental Deaths and Suicides in India (ADSI) reports, provides | 763 | Accidental Deaths and Suicides in India (ADSI) reports, provides | ||
| 763 | detailed information on railway accident cases across India, | 764 | detailed information on railway accident cases across India, | ||
| 764 | classified by type and cause. The Classification of Railway Accidents | 765 | classified by type and cause. The Classification of Railway Accidents | ||
| 765 | dataset includes categories such as train collisions, derailments, | 766 | dataset includes categories such as train collisions, derailments, | ||
| 766 | accidents at unmanned and manned level crossings, and other | 767 | accidents at unmanned and manned level crossings, and other | ||
| 767 | operational mishaps, along with the number of cases, persons injured, | 768 | operational mishaps, along with the number of cases, persons injured, | ||
| 768 | and persons who died.", | 769 | and persons who died.", | ||
| 769 | "district_no": "0", | 770 | "district_no": "0", | ||
| 770 | "format": "CSV", | 771 | "format": "CSV", | ||
| 771 | "frequency": "Yearly", | 772 | "frequency": "Yearly", | ||
| 772 | "gp_no": "0", | 773 | "gp_no": "0", | ||
| 773 | "granularity": "State", | 774 | "granularity": "State", | ||
| 774 | "hash": "", | 775 | "hash": "", | ||
| 775 | "id": "eb47815b-8b33-4f28-a06d-a0cf253d95cc", | 776 | "id": "eb47815b-8b33-4f28-a06d-a0cf253d95cc", | ||
| 776 | "idp_ready": false, | 777 | "idp_ready": false, | ||
| 777 | "last_modified": "2026-02-12T09:39:53.110500", | 778 | "last_modified": "2026-02-12T09:39:53.110500", | ||
| 778 | "metadata_modified": "2026-02-12T09:39:56.574456", | 779 | "metadata_modified": "2026-02-12T09:39:56.574456", | ||
| 779 | "methodology": "The Traffic Accidents in India data are compiled | 780 | "methodology": "The Traffic Accidents in India data are compiled | ||
| 780 | and published by the National Crime Records Bureau (NCRB) under the | 781 | and published by the National Crime Records Bureau (NCRB) under the | ||
| 781 | Ministry of Home Affairs, Government of India. The information is | 782 | Ministry of Home Affairs, Government of India. The information is | ||
| 782 | collected annually through a standardized reporting process based on | 783 | collected annually through a standardized reporting process based on | ||
| 783 | the First Information Reports (FIRs) and related police records | 784 | the First Information Reports (FIRs) and related police records | ||
| 784 | maintained at the state and district levels. Each reported traffic | 785 | maintained at the state and district levels. Each reported traffic | ||
| 785 | accident is recorded by local police authorities and categorized | 786 | accident is recorded by local police authorities and categorized | ||
| 786 | according to cause, type of vehicle involved, number of casualties | 787 | according to cause, type of vehicle involved, number of casualties | ||
| 787 | (injured and deceased), and place of occurrence. State Crime Record | 788 | (injured and deceased), and place of occurrence. State Crime Record | ||
| 788 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | 789 | Bureaus (SCRBs) and District Crime Record Bureaus (DCRBs) aggregate | ||
| 789 | these data and transmit them to the NCRB, which performs data | 790 | these data and transmit them to the NCRB, which performs data | ||
| 790 | validation, consistency checks, and compilation to ensure accuracy and | 791 | validation, consistency checks, and compilation to ensure accuracy and | ||
| 791 | comparability across states and years.", | 792 | comparability across states and years.", | ||
| 792 | "mimetype": "text/csv", | 793 | "mimetype": "text/csv", | ||
| 793 | "mimetype_inner": null, | 794 | "mimetype_inner": null, | ||
| 794 | "name": "Classification of Railway Accidents", | 795 | "name": "Classification of Railway Accidents", | ||
| 795 | "no_indicators": "3", | 796 | "no_indicators": "3", | ||
| 796 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | 797 | "package_id": "086a0183-52bf-4b08-881c-9b69583402a6", | ||
| 797 | "position": 8, | 798 | "position": 8, | ||
| 798 | "resource_type": null, | 799 | "resource_type": null, | ||
| 799 | "similar_datasets": [], | 800 | "similar_datasets": [], | ||
| 800 | "size": 44929, | 801 | "size": 44929, | ||
| 801 | "sku": "ncrb-adsi_railway_accidents_classification-st-yr-def", | 802 | "sku": "ncrb-adsi_railway_accidents_classification-st-yr-def", | ||
| 802 | "state": "active", | 803 | "state": "active", | ||
| 803 | "states_uts_no": "36", | 804 | "states_uts_no": "36", | ||
| 804 | "tags": [ | 805 | "tags": [ | ||
| 805 | "Railway Accident Statistics India", | 806 | "Railway Accident Statistics India", | ||
| 806 | "NCRB ADSI", | 807 | "NCRB ADSI", | ||
| 807 | "Train Collisions and Derailments", | 808 | "Train Collisions and Derailments", | ||
| 808 | "Level Crossing Accidents", | 809 | "Level Crossing Accidents", | ||
| 809 | "Rail Safety Analysis", | 810 | "Rail Safety Analysis", | ||
| 810 | "Operational and Human Error in Railways", | 811 | "Operational and Human Error in Railways", | ||
| 811 | "Public Transport Safety India", | 812 | "Public Transport Safety India", | ||
| 812 | "Railway Infrastructure and Accident Prevention" | 813 | "Railway Infrastructure and Accident Prevention" | ||
| 813 | ], | 814 | ], | ||
| 814 | "tehsil_no": "0", | 815 | "tehsil_no": "0", | ||
| 815 | "url": | 816 | "url": | ||
| 816 | 8-a06d-a0cf253d95cc/download/classification-of-railway-accidents.csv", | 817 | 8-a06d-a0cf253d95cc/download/classification-of-railway-accidents.csv", | ||
| 817 | "url_type": "upload", | 818 | "url_type": "upload", | ||
| 818 | "village_no": "0", | 819 | "village_no": "0", | ||
| 819 | "years_covered": "2018 - 2021" | 820 | "years_covered": "2018 - 2021" | ||
| 820 | } | 821 | } | ||
| 821 | ], | 822 | ], | ||
| 822 | "sector": [ | 823 | "sector": [ | ||
| 823 | "Crime" | 824 | "Crime" | ||
| 824 | ], | 825 | ], | ||
| 825 | "source_name": "National Crime Records Bureau", | 826 | "source_name": "National Crime Records Bureau", | ||
| 826 | "state": "active", | 827 | "state": "active", | ||
| 827 | "title": "Traffic Accidents in India", | 828 | "title": "Traffic Accidents in India", | ||
| 828 | "type": "dataset", | 829 | "type": "dataset", | ||
| 829 | "url": "https://www.ncrb.gov.in/", | 830 | "url": "https://www.ncrb.gov.in/", | ||
| 830 | "version": null | 831 | "version": null | ||
| 831 | } | 832 | } |