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| f | 1 | { | f | 1 | { |
| 2 | "SDGs": [], | 2 | "SDGs": [], | ||
| 3 | "author": null, | 3 | "author": null, | ||
| 4 | "author_email": null, | 4 | "author_email": null, | ||
| 5 | "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442", | 5 | "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442", | ||
| 6 | "groups": [], | 6 | "groups": [], | ||
| 7 | "id": "f7040b7a-f86a-4167-9d70-965ac94e6e57", | 7 | "id": "f7040b7a-f86a-4167-9d70-965ac94e6e57", | ||
| 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": "2026-02-12T07:50:00.994001", | 13 | "metadata_created": "2026-02-12T07:50:00.994001", | ||
| t | 14 | "metadata_modified": "2026-02-12T07:56:44.922006", | t | 14 | "metadata_modified": "2026-02-12T07:56:45.140681", |
| 15 | "name": "accidental-deaths-in-india", | 15 | "name": "accidental-deaths-in-india", | ||
| 16 | "notes": "The Accidental Deaths in India dataset package, published | 16 | "notes": "The Accidental Deaths 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) series, presents a | 18 | Accidental Deaths and Suicides in India (ADSI) series, presents a | ||
| 19 | detailed statistical overview of accidental fatalities across the | 19 | detailed statistical overview of accidental fatalities across the | ||
| 20 | country. This collection includes multiple dimensions of accidental | 20 | country. This collection includes multiple dimensions of accidental | ||
| 21 | deaths covering age and gender-wise distribution, cause-wise | 21 | deaths covering age and gender-wise distribution, cause-wise | ||
| 22 | classification, place and occupation-based data, and state-wise | 22 | classification, place and occupation-based data, and state-wise | ||
| 23 | incidence and rates providing a holistic view of the magnitude and | 23 | incidence and rates providing a holistic view of the magnitude and | ||
| 24 | patterns of accidental mortality in India.", | 24 | patterns of accidental mortality in India.", | ||
| 25 | "num_resources": 4, | 25 | "num_resources": 4, | ||
| 26 | "num_tags": 1, | 26 | "num_tags": 1, | ||
| 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", | ||
| 32 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | 32 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | ||
| 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": "This dataset doesn't include the data | 45 | "additional_info": "This dataset doesn't include the data | ||
| 46 | related to the year 2021.", | 46 | related to the year 2021.", | ||
| 47 | "cache_last_updated": null, | 47 | "cache_last_updated": null, | ||
| 48 | "cache_url": null, | 48 | "cache_url": null, | ||
| 49 | "created": "2026-02-12T07:50:01.295461", | 49 | "created": "2026-02-12T07:50:01.295461", | ||
| 50 | "data_extraction_page": | 50 | "data_extraction_page": | ||
| 51 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 51 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 52 | "data_insights": "The Incidence and Rate of Accidental Deaths | 52 | "data_insights": "The Incidence and Rate of Accidental Deaths | ||
| 53 | due to Forces of Nature and Other Causes dataset provides vital | 53 | due to Forces of Nature and Other Causes dataset provides vital | ||
| 54 | insights into the overall scale, distribution, and evolving patterns | 54 | insights into the overall scale, distribution, and evolving patterns | ||
| 55 | of accidental deaths across India. By distinguishing between natural | 55 | of accidental deaths across India. By distinguishing between natural | ||
| 56 | causes such as floods, heat waves, lightning, and landslides and other | 56 | causes such as floods, heat waves, lightning, and landslides and other | ||
| 57 | accidental causes like road traffic incidents, drowning, fires, and | 57 | accidental causes like road traffic incidents, drowning, fires, and | ||
| 58 | electrocution, the Incidence and Rate of Accidental Deaths due to | 58 | electrocution, the Incidence and Rate of Accidental Deaths due to | ||
| 59 | Forces of Nature and Other Causes dataset allows researchers to | 59 | Forces of Nature and Other Causes dataset allows researchers to | ||
| 60 | understand the diverse sources of accidental mortality and their | 60 | understand the diverse sources of accidental mortality and their | ||
| 61 | differing impacts on population groups.\n\nAnalysis of both incidence | 61 | differing impacts on population groups.\n\nAnalysis of both incidence | ||
| 62 | (number of deaths) and rate (deaths per lakh population) enables more | 62 | (number of deaths) and rate (deaths per lakh population) enables more | ||
| 63 | accurate comparisons across regions and time periods. For instance, | 63 | accurate comparisons across regions and time periods. For instance, | ||
| 64 | high incidence states may reflect population size, while elevated | 64 | high incidence states may reflect population size, while elevated | ||
| 65 | rates indicate heightened vulnerability or weaker safety systems. | 65 | rates indicate heightened vulnerability or weaker safety systems. | ||
| 66 | Temporal trends can reveal the influence of climate variability, | 66 | Temporal trends can reveal the influence of climate variability, | ||
| 67 | urbanization, industrialization, and improvements in safety | 67 | urbanization, industrialization, and improvements in safety | ||
| 68 | regulations on accidental death patterns.", | 68 | regulations on accidental death patterns.", | ||
| 69 | "data_last_updated": "30-09-2025", | 69 | "data_last_updated": "30-09-2025", | ||
| 70 | "data_retreival_date": "31-10-2025", | 70 | "data_retreival_date": "31-10-2025", | ||
| 71 | "datastore_active": true, | 71 | "datastore_active": true, | ||
| 72 | "description": "The Incidence and Rate of Accidental Deaths due | 72 | "description": "The Incidence and Rate of Accidental Deaths due | ||
| 73 | to Forces of Nature and Other Causes dataset, compiled by the National | 73 | to Forces of Nature and Other Causes dataset, compiled by the National | ||
| 74 | Crime Records Bureau (NCRB) under the Accidental Deaths and Suicides | 74 | Crime Records Bureau (NCRB) under the Accidental Deaths and Suicides | ||
| 75 | in India (ADSI) series, provides an extensive overview of the total | 75 | in India (ADSI) series, provides an extensive overview of the total | ||
| 76 | number and rate (per lakh population) of accidental deaths across | 76 | number and rate (per lakh population) of accidental deaths across | ||
| 77 | India, categorized by broad cause groups \u2014 Forces of Nature and | 77 | India, categorized by broad cause groups \u2014 Forces of Nature and | ||
| 78 | Other Causes. The Incidence and Rate of Accidental Deaths due to | 78 | Other Causes. The Incidence and Rate of Accidental Deaths due to | ||
| 79 | Forces of Nature and Other Causes dataset includes annual state and | 79 | Forces of Nature and Other Causes dataset includes annual state and | ||
| 80 | national level data that captures both natural disasters (such as | 80 | national level data that captures both natural disasters (such as | ||
| 81 | floods, lightning, landslides, and heat waves) and human related or | 81 | floods, lightning, landslides, and heat waves) and human related or | ||
| 82 | other accidental events (such as road accidents, fires, drowning, | 82 | other accidental events (such as road accidents, fires, drowning, | ||
| 83 | poisoning, and machinery related incidents).", | 83 | poisoning, and machinery related incidents).", | ||
| 84 | "district_no": "0", | 84 | "district_no": "0", | ||
| 85 | "format": "CSV", | 85 | "format": "CSV", | ||
| 86 | "frequency": "Yearly", | 86 | "frequency": "Yearly", | ||
| 87 | "gp_no": "0", | 87 | "gp_no": "0", | ||
| 88 | "granularity": "State", | 88 | "granularity": "State", | ||
| 89 | "hash": "", | 89 | "hash": "", | ||
| 90 | "id": "76031121-211c-4cc1-b05f-ee0b71a500b4", | 90 | "id": "76031121-211c-4cc1-b05f-ee0b71a500b4", | ||
| 91 | "idp_ready": false, | 91 | "idp_ready": false, | ||
| 92 | "last_modified": "2026-02-12T07:50:01.263356", | 92 | "last_modified": "2026-02-12T07:50:01.263356", | ||
| 93 | "metadata_modified": "2026-02-12T07:50:04.460239", | 93 | "metadata_modified": "2026-02-12T07:50:04.460239", | ||
| 94 | "methodology": "The Accidental Deaths data compiled by the | 94 | "methodology": "The Accidental Deaths data compiled by the | ||
| 95 | National Crime Records Bureau (NCRB) is sourced primarily from police | 95 | National Crime Records Bureau (NCRB) is sourced primarily from police | ||
| 96 | records, based on First Information Reports (FIRs) and related | 96 | records, based on First Information Reports (FIRs) and related | ||
| 97 | investigations of accidental deaths registered across all police | 97 | investigations of accidental deaths registered across all police | ||
| 98 | stations in India. Each case of accidental death whether due to | 98 | stations in India. Each case of accidental death whether due to | ||
| 99 | natural causes, transport accidents, fire, drowning, or other | 99 | natural causes, transport accidents, fire, drowning, or other | ||
| 100 | circumstances is documented under relevant sections of the Indian | 100 | circumstances is documented under relevant sections of the Indian | ||
| 101 | Penal Code (IPC) or Special and Local Laws (SLLs) and submitted by | 101 | Penal Code (IPC) or Special and Local Laws (SLLs) and submitted by | ||
| 102 | state and union territory police departments to the NCRB. The NCRB | 102 | state and union territory police departments to the NCRB. The NCRB | ||
| 103 | employs a standardized reporting framework to ensure uniformity in | 103 | employs a standardized reporting framework to ensure uniformity in | ||
| 104 | data collection nationwide. District Crime Record Bureaus (DCRBs) and | 104 | data collection nationwide. District Crime Record Bureaus (DCRBs) and | ||
| 105 | State Crime Record Bureaus (SCRBs) collate information from local | 105 | State Crime Record Bureaus (SCRBs) collate information from local | ||
| 106 | police stations using prescribed formats that capture details such as | 106 | police stations using prescribed formats that capture details such as | ||
| 107 | age, gender, cause and type of accident, place of occurrence, and | 107 | age, gender, cause and type of accident, place of occurrence, and | ||
| 108 | victim occupation or demographic group. The consolidated state-level | 108 | victim occupation or demographic group. The consolidated state-level | ||
| 109 | data are then transmitted to the NCRB headquarters, where they are | 109 | data are then transmitted to the NCRB headquarters, where they are | ||
| 110 | verified, aggregated, and analyzed for publication in the annual | 110 | verified, aggregated, and analyzed for publication in the annual | ||
| 111 | Accidental Deaths and Suicides in India (ADSI) report.", | 111 | Accidental Deaths and Suicides in India (ADSI) report.", | ||
| 112 | "mimetype": "text/csv", | 112 | "mimetype": "text/csv", | ||
| 113 | "mimetype_inner": null, | 113 | "mimetype_inner": null, | ||
| 114 | "name": "Incidence and Rate of Accidental Deaths due to Forces | 114 | "name": "Incidence and Rate of Accidental Deaths due to Forces | ||
| 115 | of Nature and Other Causes", | 115 | of Nature and Other Causes", | ||
| 116 | "no_indicators": "4", | 116 | "no_indicators": "4", | ||
| 117 | "package_id": "f7040b7a-f86a-4167-9d70-965ac94e6e57", | 117 | "package_id": "f7040b7a-f86a-4167-9d70-965ac94e6e57", | ||
| 118 | "position": 0, | 118 | "position": 0, | ||
| 119 | "resource_type": null, | 119 | "resource_type": null, | ||
| 120 | "similar_datasets": [], | 120 | "similar_datasets": [], | ||
| 121 | "size": 7873, | 121 | "size": 7873, | ||
| 122 | "sku": | 122 | "sku": | ||
| 123 | "ncrb-adsi_incidence_and_rate_of_accidental_deaths-st-yr-abc", | 123 | "ncrb-adsi_incidence_and_rate_of_accidental_deaths-st-yr-abc", | ||
| 124 | "state": "active", | 124 | "state": "active", | ||
| 125 | "states_uts_no": "36", | 125 | "states_uts_no": "36", | ||
| 126 | "tags": [ | 126 | "tags": [ | ||
| 127 | "Accidental Death Statistics India", | 127 | "Accidental Death Statistics India", | ||
| 128 | "Forces of Nature and Other Causes", | 128 | "Forces of Nature and Other Causes", | ||
| 129 | "NCRB ADSI", | 129 | "NCRB ADSI", | ||
| 130 | "Disaster and Accident Mortality", | 130 | "Disaster and Accident Mortality", | ||
| 131 | "Public Safety Data India", | 131 | "Public Safety Data India", | ||
| 132 | "Climate and Human-Induced Accidents", | 132 | "Climate and Human-Induced Accidents", | ||
| 133 | "Accident Rate Analysis", | 133 | "Accident Rate Analysis", | ||
| 134 | "Disaster Risk Reduction Policy" | 134 | "Disaster Risk Reduction Policy" | ||
| 135 | ], | 135 | ], | ||
| 136 | "tehsil_no": "0", | 136 | "tehsil_no": "0", | ||
| 137 | "url": | 137 | "url": | ||
| 138 | te-of-accidental-deaths-due-to-forces-of-nature-and-other-causes.csv", | 138 | te-of-accidental-deaths-due-to-forces-of-nature-and-other-causes.csv", | ||
| 139 | "url_type": "upload", | 139 | "url_type": "upload", | ||
| 140 | "village_no": "0", | 140 | "village_no": "0", | ||
| 141 | "years_covered": "2018 - 2022" | 141 | "years_covered": "2018 - 2022" | ||
| 142 | }, | 142 | }, | ||
| 143 | { | 143 | { | ||
| 144 | "additional_info": "Time period covered by the dataset is | 144 | "additional_info": "Time period covered by the dataset is | ||
| 145 | 2018-2022, except 2019 data is missing from the source.", | 145 | 2018-2022, except 2019 data is missing from the source.", | ||
| 146 | "cache_last_updated": null, | 146 | "cache_last_updated": null, | ||
| 147 | "cache_url": null, | 147 | "cache_url": null, | ||
| 148 | "created": "2026-02-12T07:52:28.925210", | 148 | "created": "2026-02-12T07:52:28.925210", | ||
| 149 | "data_extraction_page": | 149 | "data_extraction_page": | ||
| 150 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 150 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 151 | "data_insights": "The Age and Gender-wise Distribution of Total | 151 | "data_insights": "The Age and Gender-wise Distribution of Total | ||
| 152 | Accidental Deaths dataset provides crucial insights into the | 152 | Accidental Deaths dataset provides crucial insights into the | ||
| 153 | demographic patterns and population groups most vulnerable to | 153 | demographic patterns and population groups most vulnerable to | ||
| 154 | accidental fatalities in India. By analyzing accident-related deaths | 154 | accidental fatalities in India. By analyzing accident-related deaths | ||
| 155 | across different age categories and gender, the dataset reveals the | 155 | across different age categories and gender, the dataset reveals the | ||
| 156 | uneven burden of accidental mortality and highlights key public health | 156 | uneven burden of accidental mortality and highlights key public health | ||
| 157 | and safety challenges. Temporal and regional trends enable | 157 | and safety challenges. Temporal and regional trends enable | ||
| 158 | policymakers to identify states or time periods with rising accidental | 158 | policymakers to identify states or time periods with rising accidental | ||
| 159 | mortality, possibly linked to industrial growth, traffic density, or | 159 | mortality, possibly linked to industrial growth, traffic density, or | ||
| 160 | inadequate safety enforcement. These findings are instrumental for | 160 | inadequate safety enforcement. These findings are instrumental for | ||
| 161 | designing age and gender responsive safety interventions, including | 161 | designing age and gender responsive safety interventions, including | ||
| 162 | road safety campaigns, occupational hazard controls, and community | 162 | road safety campaigns, occupational hazard controls, and community | ||
| 163 | awareness programs. By integrating this dataset into broader public | 163 | awareness programs. By integrating this dataset into broader public | ||
| 164 | health and safety planning, governments and researchers can better | 164 | health and safety planning, governments and researchers can better | ||
| 165 | target prevention efforts and reduce the human and economic toll of | 165 | target prevention efforts and reduce the human and economic toll of | ||
| 166 | accidental deaths across India.", | 166 | accidental deaths across India.", | ||
| 167 | "data_last_updated": "30-09-2025", | 167 | "data_last_updated": "30-09-2025", | ||
| 168 | "data_retreival_date": "30-10-2025", | 168 | "data_retreival_date": "30-10-2025", | ||
| 169 | "datastore_active": true, | 169 | "datastore_active": true, | ||
| 170 | "description": "The Age and Gender-wise Distribution of Total | 170 | "description": "The Age and Gender-wise Distribution of Total | ||
| 171 | Accidental Deaths dataset, published by the National Crime Records | 171 | Accidental Deaths dataset, published by the National Crime Records | ||
| 172 | Bureau (NCRB) under the Accidental Deaths and Suicides in India (ADSI) | 172 | Bureau (NCRB) under the Accidental Deaths and Suicides in India (ADSI) | ||
| 173 | series, provides comprehensive statistics on accidental deaths across | 173 | series, provides comprehensive statistics on accidental deaths across | ||
| 174 | India, disaggregated by age group, gender, state, and year. The | 174 | India, disaggregated by age group, gender, state, and year. The | ||
| 175 | dataset records the total number of accidental deaths classified by | 175 | dataset records the total number of accidental deaths classified by | ||
| 176 | broad age categories ranging from children to senior citizens and | 176 | broad age categories ranging from children to senior citizens and | ||
| 177 | distinguishes between male and female fatalities, offering a | 177 | distinguishes between male and female fatalities, offering a | ||
| 178 | demographic lens on accidental mortality patterns.", | 178 | demographic lens on accidental mortality patterns.", | ||
| 179 | "district_no": "0", | 179 | "district_no": "0", | ||
| 180 | "format": "CSV", | 180 | "format": "CSV", | ||
| 181 | "frequency": "Yearly", | 181 | "frequency": "Yearly", | ||
| 182 | "gp_no": "0", | 182 | "gp_no": "0", | ||
| 183 | "granularity": "State", | 183 | "granularity": "State", | ||
| 184 | "hash": "", | 184 | "hash": "", | ||
| 185 | "id": "055ef783-1612-4e46-b693-5d5a59991913", | 185 | "id": "055ef783-1612-4e46-b693-5d5a59991913", | ||
| 186 | "idp_ready": false, | 186 | "idp_ready": false, | ||
| 187 | "last_modified": "2026-02-12T07:52:28.897983", | 187 | "last_modified": "2026-02-12T07:52:28.897983", | ||
| 188 | "metadata_modified": "2026-02-12T07:52:33.412678", | 188 | "metadata_modified": "2026-02-12T07:52:33.412678", | ||
| 189 | "methodology": "The Accidental Deaths data compiled by the | 189 | "methodology": "The Accidental Deaths data compiled by the | ||
| 190 | National Crime Records Bureau (NCRB) is sourced primarily from police | 190 | National Crime Records Bureau (NCRB) is sourced primarily from police | ||
| 191 | records, based on First Information Reports (FIRs) and related | 191 | records, based on First Information Reports (FIRs) and related | ||
| 192 | investigations of accidental deaths registered across all police | 192 | investigations of accidental deaths registered across all police | ||
| 193 | stations in India. Each case of accidental death whether due to | 193 | stations in India. Each case of accidental death whether due to | ||
| 194 | natural causes, transport accidents, fire, drowning, or other | 194 | natural causes, transport accidents, fire, drowning, or other | ||
| 195 | circumstances is documented under relevant sections of the Indian | 195 | circumstances is documented under relevant sections of the Indian | ||
| 196 | Penal Code (IPC) or Special and Local Laws (SLLs) and submitted by | 196 | Penal Code (IPC) or Special and Local Laws (SLLs) and submitted by | ||
| 197 | state and union territory police departments to the NCRB. The NCRB | 197 | state and union territory police departments to the NCRB. The NCRB | ||
| 198 | employs a standardized reporting framework to ensure uniformity in | 198 | employs a standardized reporting framework to ensure uniformity in | ||
| 199 | data collection nationwide. District Crime Record Bureaus (DCRBs) and | 199 | data collection nationwide. District Crime Record Bureaus (DCRBs) and | ||
| 200 | State Crime Record Bureaus (SCRBs) collate information from local | 200 | State Crime Record Bureaus (SCRBs) collate information from local | ||
| 201 | police stations using prescribed formats that capture details such as | 201 | police stations using prescribed formats that capture details such as | ||
| 202 | age, gender, cause and type of accident, place of occurrence, and | 202 | age, gender, cause and type of accident, place of occurrence, and | ||
| 203 | victim occupation or demographic group. The consolidated state-level | 203 | victim occupation or demographic group. The consolidated state-level | ||
| 204 | data are then transmitted to the NCRB headquarters, where they are | 204 | data are then transmitted to the NCRB headquarters, where they are | ||
| 205 | verified, aggregated, and analyzed for publication in the annual | 205 | verified, aggregated, and analyzed for publication in the annual | ||
| 206 | Accidental Deaths and Suicides in India (ADSI) report.", | 206 | Accidental Deaths and Suicides in India (ADSI) report.", | ||
| 207 | "mimetype": "text/csv", | 207 | "mimetype": "text/csv", | ||
| 208 | "mimetype_inner": null, | 208 | "mimetype_inner": null, | ||
| 209 | "name": "Age and Gender Wise Distribution of Accidental Deaths", | 209 | "name": "Age and Gender Wise Distribution of Accidental Deaths", | ||
| 210 | "no_indicators": "1", | 210 | "no_indicators": "1", | ||
| 211 | "package_id": "f7040b7a-f86a-4167-9d70-965ac94e6e57", | 211 | "package_id": "f7040b7a-f86a-4167-9d70-965ac94e6e57", | ||
| 212 | "position": 1, | 212 | "position": 1, | ||
| 213 | "resource_type": null, | 213 | "resource_type": null, | ||
| 214 | "similar_datasets": [], | 214 | "similar_datasets": [], | ||
| 215 | "size": 191848, | 215 | "size": 191848, | ||
| 216 | "sku": | 216 | "sku": | ||
| 217 | "ncrb-adsi_age_and_gender_wise_accidental_deaths-st-yr-abc", | 217 | "ncrb-adsi_age_and_gender_wise_accidental_deaths-st-yr-abc", | ||
| 218 | "state": "active", | 218 | "state": "active", | ||
| 219 | "states_uts_no": "36", | 219 | "states_uts_no": "36", | ||
| 220 | "tags": [ | 220 | "tags": [ | ||
| 221 | "Accidental Deaths in India", | 221 | "Accidental Deaths in India", | ||
| 222 | "Age and Gender Distribution", | 222 | "Age and Gender Distribution", | ||
| 223 | "NCRB ADSI", | 223 | "NCRB ADSI", | ||
| 224 | "Road and Workplace Accidents", | 224 | "Road and Workplace Accidents", | ||
| 225 | "Public Safety Statistics", | 225 | "Public Safety Statistics", | ||
| 226 | "Demographic Risk Analysis", | 226 | "Demographic Risk Analysis", | ||
| 227 | "Accident Mortality Trends", | 227 | "Accident Mortality Trends", | ||
| 228 | "Accident Prevention Policy" | 228 | "Accident Prevention Policy" | ||
| 229 | ], | 229 | ], | ||
| 230 | "tehsil_no": "0", | 230 | "tehsil_no": "0", | ||
| 231 | "url": | 231 | "url": | ||
| 232 | 3/download/age-and-gender-wise-distribution-of-accidental-deaths.csv", | 232 | 3/download/age-and-gender-wise-distribution-of-accidental-deaths.csv", | ||
| 233 | "url_type": "upload", | 233 | "url_type": "upload", | ||
| 234 | "village_no": "0", | 234 | "village_no": "0", | ||
| 235 | "years_covered": "2018-2022" | 235 | "years_covered": "2018-2022" | ||
| 236 | }, | 236 | }, | ||
| 237 | { | 237 | { | ||
| 238 | "additional_info": "Cause - Epidemic, doesn't include COVID-19 | 238 | "additional_info": "Cause - Epidemic, doesn't include COVID-19 | ||
| 239 | related deaths.", | 239 | related deaths.", | ||
| 240 | "cache_last_updated": null, | 240 | "cache_last_updated": null, | ||
| 241 | "cache_url": null, | 241 | "cache_url": null, | ||
| 242 | "created": "2026-02-12T07:54:43.706536", | 242 | "created": "2026-02-12T07:54:43.706536", | ||
| 243 | "data_extraction_page": | 243 | "data_extraction_page": | ||
| 244 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 244 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 245 | "data_insights": "The Gender-wise Distribution of Accidental | 245 | "data_insights": "The Gender-wise Distribution of Accidental | ||
| 246 | Deaths due to Forces of Nature dataset offers valuable insights into | 246 | Deaths due to Forces of Nature dataset offers valuable insights into | ||
| 247 | how natural disasters and environmental hazards differentially affect | 247 | how natural disasters and environmental hazards differentially affect | ||
| 248 | men and women across India. By examining gender-disaggregated data on | 248 | men and women across India. By examining gender-disaggregated data on | ||
| 249 | fatalities caused by floods, lightning, landslides, heat waves, | 249 | fatalities caused by floods, lightning, landslides, heat waves, | ||
| 250 | earthquakes, storms, and other natural phenomena, researchers can | 250 | earthquakes, storms, and other natural phenomena, researchers can | ||
| 251 | identify patterns of exposure, vulnerability, and resilience linked to | 251 | identify patterns of exposure, vulnerability, and resilience linked to | ||
| 252 | both biological and social factors.\n\nAnalysis often shows that men | 252 | both biological and social factors.\n\nAnalysis often shows that men | ||
| 253 | account for a higher share of deaths in certain natural disasters, | 253 | account for a higher share of deaths in certain natural disasters, | ||
| 254 | such as floods or lightning strikes, due to greater outdoor and | 254 | such as floods or lightning strikes, due to greater outdoor and | ||
| 255 | occupational exposure in agriculture, fishing, or construction. | 255 | occupational exposure in agriculture, fishing, or construction. | ||
| 256 | Conversely, women may be more vulnerable during disasters that strike | 256 | Conversely, women may be more vulnerable during disasters that strike | ||
| 257 | residential areas or involve caregiving contexts, reflecting gendered | 257 | residential areas or involve caregiving contexts, reflecting gendered | ||
| 258 | roles and access disparities in early warning systems and evacuation | 258 | roles and access disparities in early warning systems and evacuation | ||
| 259 | processes.", | 259 | processes.", | ||
| 260 | "data_last_updated": "30-09-2025", | 260 | "data_last_updated": "30-09-2025", | ||
| 261 | "data_retreival_date": "31-10-2025", | 261 | "data_retreival_date": "31-10-2025", | ||
| 262 | "datastore_active": true, | 262 | "datastore_active": true, | ||
| 263 | "description": "The Gender-wise Distribution of Accidental | 263 | "description": "The Gender-wise Distribution of Accidental | ||
| 264 | Deaths due to Forces of Nature dataset, published by the National | 264 | Deaths due to Forces of Nature dataset, published by the National | ||
| 265 | Crime Records Bureau (NCRB) under the Accidental Deaths and Suicides | 265 | Crime Records Bureau (NCRB) under the Accidental Deaths and Suicides | ||
| 266 | in India (ADSI) reports, presents detailed statistics on accidental | 266 | in India (ADSI) reports, presents detailed statistics on accidental | ||
| 267 | deaths caused by natural forces, disaggregated by gender, state, and | 267 | deaths caused by natural forces, disaggregated by gender, state, and | ||
| 268 | year. The Gender-wise Distribution of Accidental Deaths due to Forces | 268 | year. The Gender-wise Distribution of Accidental Deaths due to Forces | ||
| 269 | of Nature dataset encompasses fatalities resulting from natural | 269 | of Nature dataset encompasses fatalities resulting from natural | ||
| 270 | phenomena such as lightning, floods, landslides, earthquakes, heat | 270 | phenomena such as lightning, floods, landslides, earthquakes, heat | ||
| 271 | stroke, cold exposure, storms, and other environmental hazards.", | 271 | stroke, cold exposure, storms, and other environmental hazards.", | ||
| 272 | "district_no": "0", | 272 | "district_no": "0", | ||
| 273 | "format": "CSV", | 273 | "format": "CSV", | ||
| 274 | "frequency": "Yearly", | 274 | "frequency": "Yearly", | ||
| 275 | "gp_no": "0", | 275 | "gp_no": "0", | ||
| 276 | "granularity": "State", | 276 | "granularity": "State", | ||
| 277 | "hash": "", | 277 | "hash": "", | ||
| 278 | "id": "3400797c-0fc6-4cf8-aa3e-c70fd328a9c8", | 278 | "id": "3400797c-0fc6-4cf8-aa3e-c70fd328a9c8", | ||
| 279 | "idp_ready": false, | 279 | "idp_ready": false, | ||
| 280 | "last_modified": "2026-02-12T07:54:43.674767", | 280 | "last_modified": "2026-02-12T07:54:43.674767", | ||
| 281 | "metadata_modified": "2026-02-12T07:54:51.518173", | 281 | "metadata_modified": "2026-02-12T07:54:51.518173", | ||
| 282 | "methodology": "The Accidental Deaths data compiled by the | 282 | "methodology": "The Accidental Deaths data compiled by the | ||
| 283 | National Crime Records Bureau (NCRB) is sourced primarily from police | 283 | National Crime Records Bureau (NCRB) is sourced primarily from police | ||
| 284 | records, based on First Information Reports (FIRs) and related | 284 | records, based on First Information Reports (FIRs) and related | ||
| 285 | investigations of accidental deaths registered across all police | 285 | investigations of accidental deaths registered across all police | ||
| 286 | stations in India. Each case of accidental death whether due to | 286 | stations in India. Each case of accidental death whether due to | ||
| 287 | natural causes, transport accidents, fire, drowning, or other | 287 | natural causes, transport accidents, fire, drowning, or other | ||
| 288 | circumstances is documented under relevant sections of the Indian | 288 | circumstances is documented under relevant sections of the Indian | ||
| 289 | Penal Code (IPC) or Special and Local Laws (SLLs) and submitted by | 289 | Penal Code (IPC) or Special and Local Laws (SLLs) and submitted by | ||
| 290 | state and union territory police departments to the NCRB. The NCRB | 290 | state and union territory police departments to the NCRB. The NCRB | ||
| 291 | employs a standardized reporting framework to ensure uniformity in | 291 | employs a standardized reporting framework to ensure uniformity in | ||
| 292 | data collection nationwide. District Crime Record Bureaus (DCRBs) and | 292 | data collection nationwide. District Crime Record Bureaus (DCRBs) and | ||
| 293 | State Crime Record Bureaus (SCRBs) collate information from local | 293 | State Crime Record Bureaus (SCRBs) collate information from local | ||
| 294 | police stations using prescribed formats that capture details such as | 294 | police stations using prescribed formats that capture details such as | ||
| 295 | age, gender, cause and type of accident, place of occurrence, and | 295 | age, gender, cause and type of accident, place of occurrence, and | ||
| 296 | victim occupation or demographic group. The consolidated state-level | 296 | victim occupation or demographic group. The consolidated state-level | ||
| 297 | data are then transmitted to the NCRB headquarters, where they are | 297 | data are then transmitted to the NCRB headquarters, where they are | ||
| 298 | verified, aggregated, and analyzed for publication in the annual | 298 | verified, aggregated, and analyzed for publication in the annual | ||
| 299 | Accidental Deaths and Suicides in India (ADSI) report.", | 299 | Accidental Deaths and Suicides in India (ADSI) report.", | ||
| 300 | "mimetype": "text/csv", | 300 | "mimetype": "text/csv", | ||
| 301 | "mimetype_inner": null, | 301 | "mimetype_inner": null, | ||
| 302 | "name": "Gender - wise Distribution of Accidental Deaths due to | 302 | "name": "Gender - wise Distribution of Accidental Deaths due to | ||
| 303 | Forces of Nature", | 303 | Forces of Nature", | ||
| 304 | "no_indicators": "1", | 304 | "no_indicators": "1", | ||
| 305 | "package_id": "f7040b7a-f86a-4167-9d70-965ac94e6e57", | 305 | "package_id": "f7040b7a-f86a-4167-9d70-965ac94e6e57", | ||
| 306 | "position": 2, | 306 | "position": 2, | ||
| 307 | "resource_type": null, | 307 | "resource_type": null, | ||
| 308 | "similar_datasets": [], | 308 | "similar_datasets": [], | ||
| 309 | "size": 439335, | 309 | "size": 439335, | ||
| 310 | "sku": | 310 | "sku": | ||
| 311 | rb-adsi_gender_wise_accidental_deaths_due_to_nature_forces-st-yr-abc", | 311 | rb-adsi_gender_wise_accidental_deaths_due_to_nature_forces-st-yr-abc", | ||
| 312 | "state": "active", | 312 | "state": "active", | ||
| 313 | "states_uts_no": "36", | 313 | "states_uts_no": "36", | ||
| 314 | "tags": [ | 314 | "tags": [ | ||
| 315 | "Accidental Deaths due to Natural Forces", | 315 | "Accidental Deaths due to Natural Forces", | ||
| 316 | "Gender-wise Disaster Mortality", | 316 | "Gender-wise Disaster Mortality", | ||
| 317 | "NCRB ADSI", | 317 | "NCRB ADSI", | ||
| 318 | "Climate and Disaster Statistics", | 318 | "Climate and Disaster Statistics", | ||
| 319 | "Natural Calamities in India", | 319 | "Natural Calamities in India", | ||
| 320 | "Gender and Climate Vulnerability", | 320 | "Gender and Climate Vulnerability", | ||
| 321 | "Disaster Risk Reduction India", | 321 | "Disaster Risk Reduction India", | ||
| 322 | "Environmental Hazard Mortality" | 322 | "Environmental Hazard Mortality" | ||
| 323 | ], | 323 | ], | ||
| 324 | "tehsil_no": "0", | 324 | "tehsil_no": "0", | ||
| 325 | "url": | 325 | "url": | ||
| 326 | r-wise-distribution-of-accidental-deaths-due-to-forces-of-nature.csv", | 326 | r-wise-distribution-of-accidental-deaths-due-to-forces-of-nature.csv", | ||
| 327 | "url_type": "upload", | 327 | "url_type": "upload", | ||
| 328 | "village_no": "0", | 328 | "village_no": "0", | ||
| 329 | "years_covered": "2018 - 2022" | 329 | "years_covered": "2018 - 2022" | ||
| 330 | }, | 330 | }, | ||
| 331 | { | 331 | { | ||
| 332 | "additional_info": "The `no_of_cases` column in this dataset | 332 | "additional_info": "The `no_of_cases` column in this dataset | ||
| 333 | represents the total number of cases related to any particular cause | 333 | represents the total number of cases related to any particular cause | ||
| 334 | of all the genders included.", | 334 | of all the genders included.", | ||
| 335 | "cache_last_updated": null, | 335 | "cache_last_updated": null, | ||
| 336 | "cache_url": null, | 336 | "cache_url": null, | ||
| 337 | "created": "2026-02-12T07:56:05.165355", | 337 | "created": "2026-02-12T07:56:05.165355", | ||
| 338 | "data_extraction_page": | 338 | "data_extraction_page": | ||
| 339 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 339 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 340 | "data_insights": "The Other Causes-wise Number of Cases, Persons | 340 | "data_insights": "The Other Causes-wise Number of Cases, Persons | ||
| 341 | Injured & Persons Died dataset provides valuable insights into the | 341 | Injured & Persons Died dataset provides valuable insights into the | ||
| 342 | magnitude, severity, and nature of human-induced accidental deaths and | 342 | magnitude, severity, and nature of human-induced accidental deaths and | ||
| 343 | injuries across India. By detailing both injury and fatality counts | 343 | injuries across India. By detailing both injury and fatality counts | ||
| 344 | across multiple types of accidents such as road traffic collisions, | 344 | across multiple types of accidents such as road traffic collisions, | ||
| 345 | fires, drowning, machinery mishaps, electrocution, and falls, this | 345 | fires, drowning, machinery mishaps, electrocution, and falls, this | ||
| 346 | dataset enables a nuanced understanding of the most frequent and most | 346 | dataset enables a nuanced understanding of the most frequent and most | ||
| 347 | deadly causes of non-natural accidents.\n\nComparative analysis of the | 347 | deadly causes of non-natural accidents.\n\nComparative analysis of the | ||
| 348 | number of cases versus fatalities helps identify high-risk categories | 348 | number of cases versus fatalities helps identify high-risk categories | ||
| 349 | with disproportionate death rates, indicating areas where safety | 349 | with disproportionate death rates, indicating areas where safety | ||
| 350 | infrastructure, enforcement, or emergency response are inadequate. | 350 | infrastructure, enforcement, or emergency response are inadequate. | ||
| 351 | Temporal trends reveal whether accident cases and casualty rates are | 351 | Temporal trends reveal whether accident cases and casualty rates are | ||
| 352 | rising or declining over time, reflecting the effectiveness of safety | 352 | rising or declining over time, reflecting the effectiveness of safety | ||
| 353 | measures, public education, and regulatory interventions. State-wise | 353 | measures, public education, and regulatory interventions. State-wise | ||
| 354 | and cause-wise patterns further highlight regional vulnerabilities, | 354 | and cause-wise patterns further highlight regional vulnerabilities, | ||
| 355 | such as higher transport-related deaths in urbanized or industrial | 355 | such as higher transport-related deaths in urbanized or industrial | ||
| 356 | regions, and drowning or fire incidents in rural and domestic | 356 | regions, and drowning or fire incidents in rural and domestic | ||
| 357 | settings.\n\nFrom a policy perspective, The Other Causes-wise Number | 357 | settings.\n\nFrom a policy perspective, The Other Causes-wise Number | ||
| 358 | of Cases, Persons Injured & Persons Died dataset supports | 358 | of Cases, Persons Injured & Persons Died dataset supports | ||
| 359 | evidence-based decision-making for public safety enhancement, | 359 | evidence-based decision-making for public safety enhancement, | ||
| 360 | occupational risk reduction, and emergency preparedness. Insights | 360 | occupational risk reduction, and emergency preparedness. Insights | ||
| 361 | derived from the data can guide investments in road safety programs, | 361 | derived from the data can guide investments in road safety programs, | ||
| 362 | fire prevention systems, industrial safety standards, and rescue | 362 | fire prevention systems, industrial safety standards, and rescue | ||
| 363 | infrastructure, helping reduce both the frequency and severity of | 363 | infrastructure, helping reduce both the frequency and severity of | ||
| 364 | accidental injuries and deaths across India.", | 364 | accidental injuries and deaths across India.", | ||
| 365 | "data_last_updated": "30-09-2025", | 365 | "data_last_updated": "30-09-2025", | ||
| 366 | "data_retreival_date": "31-10-2025", | 366 | "data_retreival_date": "31-10-2025", | ||
| 367 | "datastore_active": true, | 367 | "datastore_active": true, | ||
| 368 | "description": "The Other Causes-wise Number of Cases, Persons | 368 | "description": "The Other Causes-wise Number of Cases, Persons | ||
| 369 | Injured & Persons Died dataset, published by the National Crime | 369 | Injured & Persons Died dataset, published by the National Crime | ||
| 370 | Records Bureau (NCRB) as part of its Accidental Deaths and Suicides in | 370 | Records Bureau (NCRB) as part of its Accidental Deaths and Suicides in | ||
| 371 | India (ADSI) reports, provides detailed statistics on accidental | 371 | India (ADSI) reports, provides detailed statistics on accidental | ||
| 372 | incidents in India classified under \u201cOther Causes\u201d that is, | 372 | incidents in India classified under \u201cOther Causes\u201d that is, | ||
| 373 | non-natural and human-related accidents. The Other Causes-wise Number | 373 | non-natural and human-related accidents. The Other Causes-wise Number | ||
| 374 | of Cases, Persons Injured & Persons Died dataset records the number of | 374 | of Cases, Persons Injured & Persons Died dataset records the number of | ||
| 375 | reported cases, along with the number of persons injured and persons | 375 | reported cases, along with the number of persons injured and persons | ||
| 376 | who died due to various accidental causes such as road traffic | 376 | who died due to various accidental causes such as road traffic | ||
| 377 | accidents, fires, drowning, falls, electrocution, machinery related | 377 | accidents, fires, drowning, falls, electrocution, machinery related | ||
| 378 | mishaps, and other unclassified incidents.", | 378 | mishaps, and other unclassified incidents.", | ||
| 379 | "district_no": "0", | 379 | "district_no": "0", | ||
| 380 | "format": "CSV", | 380 | "format": "CSV", | ||
| 381 | "frequency": "Yearly", | 381 | "frequency": "Yearly", | ||
| 382 | "gp_no": "0", | 382 | "gp_no": "0", | ||
| 383 | "granularity": "State", | 383 | "granularity": "State", | ||
| 384 | "hash": "", | 384 | "hash": "", | ||
| 385 | "id": "88a80158-ad51-43e2-9009-1b4571f83531", | 385 | "id": "88a80158-ad51-43e2-9009-1b4571f83531", | ||
| 386 | "idp_ready": false, | 386 | "idp_ready": false, | ||
| 387 | "last_modified": "2026-02-12T07:56:05.134184", | 387 | "last_modified": "2026-02-12T07:56:05.134184", | ||
| 388 | "metadata_modified": "2026-02-12T07:56:44.927150", | 388 | "metadata_modified": "2026-02-12T07:56:44.927150", | ||
| 389 | "methodology": "The Accidental Deaths data compiled by the | 389 | "methodology": "The Accidental Deaths data compiled by the | ||
| 390 | National Crime Records Bureau (NCRB) is sourced primarily from police | 390 | National Crime Records Bureau (NCRB) is sourced primarily from police | ||
| 391 | records, based on First Information Reports (FIRs) and related | 391 | records, based on First Information Reports (FIRs) and related | ||
| 392 | investigations of accidental deaths registered across all police | 392 | investigations of accidental deaths registered across all police | ||
| 393 | stations in India. Each case of accidental death whether due to | 393 | stations in India. Each case of accidental death whether due to | ||
| 394 | natural causes, transport accidents, fire, drowning, or other | 394 | natural causes, transport accidents, fire, drowning, or other | ||
| 395 | circumstances is documented under relevant sections of the Indian | 395 | circumstances is documented under relevant sections of the Indian | ||
| 396 | Penal Code (IPC) or Special and Local Laws (SLLs) and submitted by | 396 | Penal Code (IPC) or Special and Local Laws (SLLs) and submitted by | ||
| 397 | state and union territory police departments to the NCRB. The NCRB | 397 | state and union territory police departments to the NCRB. The NCRB | ||
| 398 | employs a standardized reporting framework to ensure uniformity in | 398 | employs a standardized reporting framework to ensure uniformity in | ||
| 399 | data collection nationwide. District Crime Record Bureaus (DCRBs) and | 399 | data collection nationwide. District Crime Record Bureaus (DCRBs) and | ||
| 400 | State Crime Record Bureaus (SCRBs) collate information from local | 400 | State Crime Record Bureaus (SCRBs) collate information from local | ||
| 401 | police stations using prescribed formats that capture details such as | 401 | police stations using prescribed formats that capture details such as | ||
| 402 | age, gender, cause and type of accident, place of occurrence, and | 402 | age, gender, cause and type of accident, place of occurrence, and | ||
| 403 | victim occupation or demographic group. The consolidated state-level | 403 | victim occupation or demographic group. The consolidated state-level | ||
| 404 | data are then transmitted to the NCRB headquarters, where they are | 404 | data are then transmitted to the NCRB headquarters, where they are | ||
| 405 | verified, aggregated, and analyzed for publication in the annual | 405 | verified, aggregated, and analyzed for publication in the annual | ||
| 406 | Accidental Deaths and Suicides in India (ADSI) report.", | 406 | Accidental Deaths and Suicides in India (ADSI) report.", | ||
| 407 | "mimetype": "text/csv", | 407 | "mimetype": "text/csv", | ||
| 408 | "mimetype_inner": null, | 408 | "mimetype_inner": null, | ||
| 409 | "name": "Other Causes-wise Number of Cases, Persons Injured & | 409 | "name": "Other Causes-wise Number of Cases, Persons Injured & | ||
| 410 | Persons Died", | 410 | Persons Died", | ||
| 411 | "no_indicators": "3", | 411 | "no_indicators": "3", | ||
| 412 | "package_id": "f7040b7a-f86a-4167-9d70-965ac94e6e57", | 412 | "package_id": "f7040b7a-f86a-4167-9d70-965ac94e6e57", | ||
| 413 | "position": 3, | 413 | "position": 3, | ||
| 414 | "resource_type": null, | 414 | "resource_type": null, | ||
| 415 | "similar_datasets": [], | 415 | "similar_datasets": [], | ||
| 416 | "size": 2813646, | 416 | "size": 2813646, | ||
| 417 | "sku": | 417 | "sku": | ||
| 418 | "ncrb-adsi_other_causes_wise_cases_injured_died-st-yr-abc", | 418 | "ncrb-adsi_other_causes_wise_cases_injured_died-st-yr-abc", | ||
| 419 | "state": "active", | 419 | "state": "active", | ||
| 420 | "states_uts_no": "36", | 420 | "states_uts_no": "36", | ||
| 421 | "tags": [ | 421 | "tags": [ | ||
| 422 | "Accidental Deaths by Other Causes", | 422 | "Accidental Deaths by Other Causes", | ||
| 423 | "NCRB ADSI", | 423 | "NCRB ADSI", | ||
| 424 | "Injury and Fatality Statistics", | 424 | "Injury and Fatality Statistics", | ||
| 425 | "Road and Fire Accidents India", | 425 | "Road and Fire Accidents India", | ||
| 426 | "Occupational Safety Data", | 426 | "Occupational Safety Data", | ||
| 427 | "Public Health and Safety", | 427 | "Public Health and Safety", | ||
| 428 | "Accident Impact Analysis", | 428 | "Accident Impact Analysis", | ||
| 429 | "Emergency Response and Prevention" | 429 | "Emergency Response and Prevention" | ||
| 430 | ], | 430 | ], | ||
| 431 | "tehsil_no": "0", | 431 | "tehsil_no": "0", | ||
| 432 | "url": | 432 | "url": | ||
| 433 | ad/other-causeswise-number-of-cases-persons-injured-persons-died.csv", | 433 | ad/other-causeswise-number-of-cases-persons-injured-persons-died.csv", | ||
| 434 | "url_type": "upload", | 434 | "url_type": "upload", | ||
| 435 | "village_no": "0", | 435 | "village_no": "0", | ||
| 436 | "years_covered": "2018-2022" | 436 | "years_covered": "2018-2022" | ||
| 437 | } | 437 | } | ||
| 438 | ], | 438 | ], | ||
| 439 | "sector": [ | 439 | "sector": [ | ||
| 440 | "Crime" | 440 | "Crime" | ||
| 441 | ], | 441 | ], | ||
| 442 | "source_name": "National Crime Records Bureau", | 442 | "source_name": "National Crime Records Bureau", | ||
| 443 | "state": "active", | 443 | "state": "active", | ||
| 444 | "title": "Accidental Deaths in India", | 444 | "title": "Accidental Deaths in India", | ||
| 445 | "type": "dataset", | 445 | "type": "dataset", | ||
| 446 | "url": "https://www.ncrb.gov.in/", | 446 | "url": "https://www.ncrb.gov.in/", | ||
| 447 | "version": null | 447 | "version": null | ||
| 448 | } | 448 | } |