Changes
On March 6, 2026, 10:19:49 AM UTC,
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Added the following fields to resource Suicides by Educational Status in Suicides in India
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tags with value
similar_datasets with value
| 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": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | 7 | "id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | ||
| 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": "2026-03-03T10:43:25.920752", | 13 | "metadata_created": "2026-03-03T10:43:25.920752", | ||
| n | 14 | "metadata_modified": "2026-03-06T10:19:41.479871", | n | 14 | "metadata_modified": "2026-03-06T10:19:49.266758", |
| 15 | "name": "suicides-in-india", | 15 | "name": "suicides-in-india", | ||
| 16 | "notes": "The Suicides in India dataset package, published by the | 16 | "notes": "The Suicides in India dataset package, published by the | ||
| 17 | National Crime Records Bureau (NCRB) under its annual Accidental | 17 | National Crime Records Bureau (NCRB) under its annual Accidental | ||
| 18 | Deaths and Suicides in India (ADSI) reports, presents a comprehensive | 18 | Deaths and Suicides in India (ADSI) reports, presents a comprehensive | ||
| 19 | statistical overview of suicide patterns across the country. The | 19 | statistical overview of suicide patterns across the country. The | ||
| 20 | collection integrates multiple dimensions of suicide data, including | 20 | collection integrates multiple dimensions of suicide data, including | ||
| 21 | marital status, economic background, educational attainment, and | 21 | marital status, economic background, educational attainment, and | ||
| 22 | cause-wise classification, alongside demographic variables such as | 22 | cause-wise classification, alongside demographic variables such as | ||
| 23 | gender, state, and year. Together, these datasets form one of the most | 23 | gender, state, and year. Together, these datasets form one of the most | ||
| 24 | detailed and policy-relevant sources of information on suicide trends | 24 | detailed and policy-relevant sources of information on suicide trends | ||
| 25 | in India.", | 25 | in India.", | ||
| 26 | "num_resources": 8, | 26 | "num_resources": 8, | ||
| 27 | "num_tags": 8, | 27 | "num_tags": 8, | ||
| 28 | "organization": { | 28 | "organization": { | ||
| 29 | "approval_status": "approved", | 29 | "approval_status": "approved", | ||
| 30 | "created": "2022-12-05T03:44:54.080358", | 30 | "created": "2022-12-05T03:44:54.080358", | ||
| 31 | "description": "", | 31 | "description": "", | ||
| 32 | "id": "94317457-d297-4549-9640-7865034682c5", | 32 | "id": "94317457-d297-4549-9640-7865034682c5", | ||
| 33 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | 33 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | ||
| 34 | "is_organization": true, | 34 | "is_organization": true, | ||
| 35 | "name": "idp-organization", | 35 | "name": "idp-organization", | ||
| 36 | "state": "active", | 36 | "state": "active", | ||
| 37 | "title": "IDP organization", | 37 | "title": "IDP organization", | ||
| 38 | "type": "organization" | 38 | "type": "organization" | ||
| 39 | }, | 39 | }, | ||
| 40 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | 40 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | ||
| 41 | "private": false, | 41 | "private": false, | ||
| 42 | "relationships_as_object": [], | 42 | "relationships_as_object": [], | ||
| 43 | "relationships_as_subject": [], | 43 | "relationships_as_subject": [], | ||
| 44 | "resources": [ | 44 | "resources": [ | ||
| 45 | { | 45 | { | ||
| 46 | "additional_info": "", | 46 | "additional_info": "", | ||
| 47 | "cache_last_updated": null, | 47 | "cache_last_updated": null, | ||
| 48 | "cache_url": null, | 48 | "cache_url": null, | ||
| 49 | "created": "2026-03-03T10:43:27.318640", | 49 | "created": "2026-03-03T10:43:27.318640", | ||
| 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": "This dataset makes it possible to identify the | 52 | "data_insights": "This dataset makes it possible to identify the | ||
| 53 | leading social, economic, and health-related drivers of suicide in | 53 | leading social, economic, and health-related drivers of suicide in | ||
| 54 | India and how they vary across states, genders, and age groups. It can | 54 | India and how they vary across states, genders, and age groups. It can | ||
| 55 | highlight vulnerable populations most affected by factors such as | 55 | highlight vulnerable populations most affected by factors such as | ||
| 56 | illness, family disputes, or financial stress, and reveal shifting | 56 | illness, family disputes, or financial stress, and reveal shifting | ||
| 57 | patterns in causes over time. Such insights can inform mental health | 57 | patterns in causes over time. Such insights can inform mental health | ||
| 58 | programs, social welfare policies, and economic interventions targeted | 58 | programs, social welfare policies, and economic interventions targeted | ||
| 59 | at high-risk groups.", | 59 | at high-risk groups.", | ||
| 60 | "data_last_updated": "22-09-2025", | 60 | "data_last_updated": "22-09-2025", | ||
| 61 | "data_retreival_date": "22-09-2025", | 61 | "data_retreival_date": "22-09-2025", | ||
| 62 | "datastore_active": true, | 62 | "datastore_active": true, | ||
| 63 | "description": "The Suicide by Means Adopted dataset presents a | 63 | "description": "The Suicide by Means Adopted dataset presents a | ||
| 64 | detailed account of suicides in India, classified by their reported | 64 | detailed account of suicides in India, classified by their reported | ||
| 65 | causes such as by consuming different types of poison, running under | 65 | causes such as by consuming different types of poison, running under | ||
| 66 | vehicles, jumping off places, drowning in water, self inflicting | 66 | vehicles, jumping off places, drowning in water, self inflicting | ||
| 67 | injury, hanging and other different causes of suicide. By organizing | 67 | injury, hanging and other different causes of suicide. By organizing | ||
| 68 | suicide data around underlying reasons, it provides valuable insights | 68 | suicide data around underlying reasons, it provides valuable insights | ||
| 69 | into the social, economic, and health-related drivers that contribute | 69 | into the social, economic, and health-related drivers that contribute | ||
| 70 | to these tragic outcomes. Researchers, policymakers, and mental health | 70 | to these tragic outcomes. Researchers, policymakers, and mental health | ||
| 71 | professionals can use suicide by means adopted dataset to better | 71 | professionals can use suicide by means adopted dataset to better | ||
| 72 | understand patterns of vulnerability, identify at-risk groups, and | 72 | understand patterns of vulnerability, identify at-risk groups, and | ||
| 73 | design targeted interventions that address the root causes of | 73 | design targeted interventions that address the root causes of | ||
| 74 | suicide.", | 74 | suicide.", | ||
| 75 | "district_no": "0", | 75 | "district_no": "0", | ||
| 76 | "format": "CSV", | 76 | "format": "CSV", | ||
| 77 | "frequency": "Yearly", | 77 | "frequency": "Yearly", | ||
| 78 | "gp_no": "0", | 78 | "gp_no": "0", | ||
| 79 | "granularity": "State", | 79 | "granularity": "State", | ||
| 80 | "hash": "", | 80 | "hash": "", | ||
| 81 | "id": "29136c75-0aa3-4858-848a-37ef3a475df5", | 81 | "id": "29136c75-0aa3-4858-848a-37ef3a475df5", | ||
| 82 | "idp_ready": true, | 82 | "idp_ready": true, | ||
| 83 | "indicators": [ | 83 | "indicators": [ | ||
| 84 | "Number of Deaths" | 84 | "Number of Deaths" | ||
| 85 | ], | 85 | ], | ||
| 86 | "last_modified": "2026-03-03T10:43:27.278535", | 86 | "last_modified": "2026-03-03T10:43:27.278535", | ||
| 87 | "lgd_mapping": "yes", | 87 | "lgd_mapping": "yes", | ||
| 88 | "mapping_status": 100, | 88 | "mapping_status": 100, | ||
| 89 | "metadata_modified": "2026-03-03T11:15:47.671716", | 89 | "metadata_modified": "2026-03-03T11:15:47.671716", | ||
| 90 | "methodology": "The National Crime Records Bureau (NCRB) | 90 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 91 | compiles suicide data each year based on information from police | 91 | compiles suicide data each year based on information from police | ||
| 92 | investigations, autopsies, and reports submitted by state crime | 92 | investigations, autopsies, and reports submitted by state crime | ||
| 93 | records bureaus. Cases are grouped into categories such as illness, | 93 | records bureaus. Cases are grouped into categories such as illness, | ||
| 94 | family issues, or financial problems, usually drawing on details | 94 | family issues, or financial problems, usually drawing on details | ||
| 95 | provided by investigators or relatives. These state-level figures are | 95 | provided by investigators or relatives. These state-level figures are | ||
| 96 | then aggregated and published in the Accidental Deaths and Suicides in | 96 | then aggregated and published in the Accidental Deaths and Suicides in | ||
| 97 | India (ADSI) report, with suicide rates calculated using population | 97 | India (ADSI) report, with suicide rates calculated using population | ||
| 98 | estimates. While the system provides consistent nationwide coverage, | 98 | estimates. While the system provides consistent nationwide coverage, | ||
| 99 | the data is often limited by under-reporting, inconsistent definitions | 99 | the data is often limited by under-reporting, inconsistent definitions | ||
| 100 | of causes, and the influence of stigma, which can affect accuracy and | 100 | of causes, and the influence of stigma, which can affect accuracy and | ||
| 101 | comparability across states.", | 101 | comparability across states.", | ||
| 102 | "mimetype": null, | 102 | "mimetype": null, | ||
| 103 | "mimetype_inner": null, | 103 | "mimetype_inner": null, | ||
| 104 | "name": "Suicides by Means Adopted", | 104 | "name": "Suicides by Means Adopted", | ||
| 105 | "no_indicators": "1", | 105 | "no_indicators": "1", | ||
| 106 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | 106 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | ||
| 107 | "position": 0, | 107 | "position": 0, | ||
| 108 | "resource_type": null, | 108 | "resource_type": null, | ||
| 109 | "similar_resources": | 109 | "similar_resources": | ||
| 110 | 9cb-9f81-4198-9f75-9e7a0b62b69b,fd60d87e-c26d-4a57-87a1-b3fb72c2c78c", | 110 | 9cb-9f81-4198-9f75-9e7a0b62b69b,fd60d87e-c26d-4a57-87a1-b3fb72c2c78c", | ||
| 111 | "size": 623201, | 111 | "size": 623201, | ||
| 112 | "sku": "ncrb-adsi_suicides_by_means_adopted-st-yr-aaa", | 112 | "sku": "ncrb-adsi_suicides_by_means_adopted-st-yr-aaa", | ||
| 113 | "state": "active", | 113 | "state": "active", | ||
| 114 | "states_uts_no": "36", | 114 | "states_uts_no": "36", | ||
| 115 | "tehsil_no": "0", | 115 | "tehsil_no": "0", | ||
| 116 | "url": | 116 | "url": | ||
| 117 | 5-0aa3-4858-848a-37ef3a475df5/download/suicides-by-means-adopted.csv", | 117 | 5-0aa3-4858-848a-37ef3a475df5/download/suicides-by-means-adopted.csv", | ||
| 118 | "url_type": "upload", | 118 | "url_type": "upload", | ||
| 119 | "years_covered": "2018 - 2022" | 119 | "years_covered": "2018 - 2022" | ||
| 120 | }, | 120 | }, | ||
| 121 | { | 121 | { | ||
| 122 | "additional_info": "", | 122 | "additional_info": "", | ||
| 123 | "cache_last_updated": null, | 123 | "cache_last_updated": null, | ||
| 124 | "cache_url": null, | 124 | "cache_url": null, | ||
| 125 | "created": "2026-03-03T10:46:40.807667", | 125 | "created": "2026-03-03T10:46:40.807667", | ||
| 126 | "data_extraction_page": | 126 | "data_extraction_page": | ||
| 127 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 127 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 128 | "data_insights": "Analysis of profession-wise suicide data | 128 | "data_insights": "Analysis of profession-wise suicide data | ||
| 129 | highlights the strong link between livelihood, economic insecurity, | 129 | highlights the strong link between livelihood, economic insecurity, | ||
| 130 | and mental health outcomes. Farmers and agricultural laborers often | 130 | and mental health outcomes. Farmers and agricultural laborers often | ||
| 131 | exhibit higher suicide rates, reflecting vulnerabilities tied to crop | 131 | exhibit higher suicide rates, reflecting vulnerabilities tied to crop | ||
| 132 | failure, debt burdens, and rural distress. Daily wage earners and | 132 | failure, debt burdens, and rural distress. Daily wage earners and | ||
| 133 | self-employed individuals also show elevated risks, frequently linked | 133 | self-employed individuals also show elevated risks, frequently linked | ||
| 134 | to financial instability and precarious employment. Students | 134 | to financial instability and precarious employment. Students | ||
| 135 | constitute another significant group, with pressures related to | 135 | constitute another significant group, with pressures related to | ||
| 136 | academics and career prospects contributing to their vulnerability. At | 136 | academics and career prospects contributing to their vulnerability. At | ||
| 137 | the other end, professionals and salaried employees may face stressors | 137 | the other end, professionals and salaried employees may face stressors | ||
| 138 | related to workplace demands, unemployment, or job loss. By mapping | 138 | related to workplace demands, unemployment, or job loss. By mapping | ||
| 139 | suicide patterns across occupational categories, the dataset allows | 139 | suicide patterns across occupational categories, the dataset allows | ||
| 140 | researchers and policymakers to identify structural drivers of mental | 140 | researchers and policymakers to identify structural drivers of mental | ||
| 141 | health crises, design livelihood-support programs, and tailor mental | 141 | health crises, design livelihood-support programs, and tailor mental | ||
| 142 | health interventions to at-risk occupational groups.", | 142 | health interventions to at-risk occupational groups.", | ||
| 143 | "data_last_updated": "30-09-2025", | 143 | "data_last_updated": "30-09-2025", | ||
| 144 | "data_retreival_date": "30-09-2025", | 144 | "data_retreival_date": "30-09-2025", | ||
| 145 | "datastore_active": true, | 145 | "datastore_active": true, | ||
| 146 | "description": "The Suicide by Profession-Wise dataset presents | 146 | "description": "The Suicide by Profession-Wise dataset presents | ||
| 147 | a comprehensive account of suicides in India, classified according to | 147 | a comprehensive account of suicides in India, classified according to | ||
| 148 | the occupation or livelihood of the deceased at the time of death. | 148 | the occupation or livelihood of the deceased at the time of death. | ||
| 149 | Categories include farmers, agricultural laborers, daily wage earners, | 149 | Categories include farmers, agricultural laborers, daily wage earners, | ||
| 150 | students, professionals, self-employed individuals, and unemployed | 150 | students, professionals, self-employed individuals, and unemployed | ||
| 151 | persons, among others. By organizing suicide data around occupational | 151 | persons, among others. By organizing suicide data around occupational | ||
| 152 | backgrounds, the dataset provides valuable insights into the | 152 | backgrounds, the dataset provides valuable insights into the | ||
| 153 | socio-economic and livelihood-related pressures that contribute to | 153 | socio-economic and livelihood-related pressures that contribute to | ||
| 154 | suicidal behavior. Researchers, policymakers, and mental health | 154 | suicidal behavior. Researchers, policymakers, and mental health | ||
| 155 | professionals can use profession-wise suicide data to identify | 155 | professionals can use profession-wise suicide data to identify | ||
| 156 | vulnerable occupational groups, understand patterns of economic | 156 | vulnerable occupational groups, understand patterns of economic | ||
| 157 | distress and workplace-related stress, and design interventions that | 157 | distress and workplace-related stress, and design interventions that | ||
| 158 | target high-risk segments of the population.", | 158 | target high-risk segments of the population.", | ||
| 159 | "district_no": "0", | 159 | "district_no": "0", | ||
| 160 | "format": "CSV", | 160 | "format": "CSV", | ||
| 161 | "frequency": "Yearly", | 161 | "frequency": "Yearly", | ||
| 162 | "gp_no": "0", | 162 | "gp_no": "0", | ||
| 163 | "granularity": "State", | 163 | "granularity": "State", | ||
| 164 | "hash": "", | 164 | "hash": "", | ||
| 165 | "id": "33ec469e-06ff-4b03-95c0-ffe0e634518d", | 165 | "id": "33ec469e-06ff-4b03-95c0-ffe0e634518d", | ||
| 166 | "idp_ready": true, | 166 | "idp_ready": true, | ||
| 167 | "indicators": [ | 167 | "indicators": [ | ||
| 168 | "Number of Deaths" | 168 | "Number of Deaths" | ||
| 169 | ], | 169 | ], | ||
| 170 | "last_modified": "2026-03-03T10:46:40.781053", | 170 | "last_modified": "2026-03-03T10:46:40.781053", | ||
| 171 | "lgd_mapping": "yes", | 171 | "lgd_mapping": "yes", | ||
| 172 | "mapping_status": 100, | 172 | "mapping_status": 100, | ||
| 173 | "metadata_modified": "2026-03-03T11:17:04.830508", | 173 | "metadata_modified": "2026-03-03T11:17:04.830508", | ||
| 174 | "methodology": "The National Crime Records Bureau (NCRB) | 174 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 175 | compiles profession-wise suicide statistics annually based on | 175 | compiles profession-wise suicide statistics annually based on | ||
| 176 | information gathered during police investigations, autopsy reports, | 176 | information gathered during police investigations, autopsy reports, | ||
| 177 | and inputs recorded by state crime records bureaus. When a suicide | 177 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 178 | case is registered, investigating officers classify the | 178 | case is registered, investigating officers classify the | ||
| 179 | deceased\u2019s occupation or livelihood at the time of death into | 179 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 180 | predefined categories such as farmers, daily wage earners, students, | 180 | predefined categories such as farmers, daily wage earners, students, | ||
| 181 | professionals, or unemployed individuals. These occupational details | 181 | professionals, or unemployed individuals. These occupational details | ||
| 182 | are typically reported by family members, witnesses, or through | 182 | are typically reported by family members, witnesses, or through | ||
| 183 | available identification records. State-level data are consolidated | 183 | available identification records. State-level data are consolidated | ||
| 184 | and published in the Accidental Deaths and Suicides in India (ADSI) | 184 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 185 | report, with suicide rates calculated using relevant occupational | 185 | report, with suicide rates calculated using relevant occupational | ||
| 186 | population estimates where available.", | 186 | population estimates where available.", | ||
| 187 | "mimetype": null, | 187 | "mimetype": null, | ||
| 188 | "mimetype_inner": null, | 188 | "mimetype_inner": null, | ||
| 189 | "name": "Suicides by Profession Wise", | 189 | "name": "Suicides by Profession Wise", | ||
| 190 | "no_indicators": "1", | 190 | "no_indicators": "1", | ||
| 191 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | 191 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | ||
| 192 | "position": 1, | 192 | "position": 1, | ||
| 193 | "resource_type": null, | 193 | "resource_type": null, | ||
| 194 | "similar_resources": | 194 | "similar_resources": | ||
| 195 | 9cb-9f81-4198-9f75-9e7a0b62b69b,fd60d87e-c26d-4a57-87a1-b3fb72c2c78c", | 195 | 9cb-9f81-4198-9f75-9e7a0b62b69b,fd60d87e-c26d-4a57-87a1-b3fb72c2c78c", | ||
| 196 | "size": 1172927, | 196 | "size": 1172927, | ||
| 197 | "sku": "ncrb-adsi_suicides_by_profession_wise-st-yr-aaa", | 197 | "sku": "ncrb-adsi_suicides_by_profession_wise-st-yr-aaa", | ||
| 198 | "state": "active", | 198 | "state": "active", | ||
| 199 | "states_uts_no": "36", | 199 | "states_uts_no": "36", | ||
| 200 | "tehsil_no": "0", | 200 | "tehsil_no": "0", | ||
| 201 | "url": | 201 | "url": | ||
| 202 | 06ff-4b03-95c0-ffe0e634518d/download/suicides-by-profession-wise.csv", | 202 | 06ff-4b03-95c0-ffe0e634518d/download/suicides-by-profession-wise.csv", | ||
| 203 | "url_type": "upload", | 203 | "url_type": "upload", | ||
| 204 | "years_covered": "2018-2022" | 204 | "years_covered": "2018-2022" | ||
| 205 | }, | 205 | }, | ||
| 206 | { | 206 | { | ||
| 207 | "additional_info": "", | 207 | "additional_info": "", | ||
| 208 | "cache_last_updated": null, | 208 | "cache_last_updated": null, | ||
| 209 | "cache_url": null, | 209 | "cache_url": null, | ||
| 210 | "created": "2026-03-03T10:48:17.662992", | 210 | "created": "2026-03-03T10:48:17.662992", | ||
| 211 | "data_extraction_page": | 211 | "data_extraction_page": | ||
| 212 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 212 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 213 | "data_insights": "The Suicides by Marital Status dataset offers | 213 | "data_insights": "The Suicides by Marital Status dataset offers | ||
| 214 | critical insights into the intersection of marital status, gender, and | 214 | critical insights into the intersection of marital status, gender, and | ||
| 215 | regional factors in suicide patterns across India. By examining annual | 215 | regional factors in suicide patterns across India. By examining annual | ||
| 216 | trends in the number of suicides disaggregated by marital status | 216 | trends in the number of suicides disaggregated by marital status | ||
| 217 | categories such as Unmarried, Married, Divorcee, Separated, | 217 | categories such as Unmarried, Married, Divorcee, Separated, | ||
| 218 | Widowed/Widower, and Status Not Known. The Suicides by Marital Status | 218 | Widowed/Widower, and Status Not Known. The Suicides by Marital Status | ||
| 219 | dataset enables researchers to assess how marital and social | 219 | dataset enables researchers to assess how marital and social | ||
| 220 | circumstances influence vulnerability to suicide. Analyses can uncover | 220 | circumstances influence vulnerability to suicide. Analyses can uncover | ||
| 221 | gender disparities within each marital group, such as higher suicide | 221 | gender disparities within each marital group, such as higher suicide | ||
| 222 | rates among married men or distinct vulnerabilities among widowed or | 222 | rates among married men or distinct vulnerabilities among widowed or | ||
| 223 | divorced women. Temporal trends across years reveal whether suicide | 223 | divorced women. Temporal trends across years reveal whether suicide | ||
| 224 | risks among certain marital categories are rising or falling, | 224 | risks among certain marital categories are rising or falling, | ||
| 225 | potentially reflecting changing social structures, economic pressures, | 225 | potentially reflecting changing social structures, economic pressures, | ||
| 226 | or mental health awareness.", | 226 | or mental health awareness.", | ||
| 227 | "data_last_updated": "30-09-2025", | 227 | "data_last_updated": "30-09-2025", | ||
| 228 | "data_retreival_date": "17-10-2025", | 228 | "data_retreival_date": "17-10-2025", | ||
| 229 | "datastore_active": true, | 229 | "datastore_active": true, | ||
| 230 | "description": "The Suicides by Marital Status dataset, | 230 | "description": "The Suicides by Marital Status dataset, | ||
| 231 | published by the National Crime Records Bureau (NCRB) under the | 231 | published by the National Crime Records Bureau (NCRB) under the | ||
| 232 | Accidental Deaths and Suicides in India (ADSI) reports, provides | 232 | Accidental Deaths and Suicides in India (ADSI) reports, provides | ||
| 233 | detailed statistics on suicide incidents across India classified by | 233 | detailed statistics on suicide incidents across India classified by | ||
| 234 | marital status, gender, state, and year. The dataset captures counts | 234 | marital status, gender, state, and year. The dataset captures counts | ||
| 235 | of suicide cases among individuals identified as Unmarried, Married, | 235 | of suicide cases among individuals identified as Unmarried, Married, | ||
| 236 | Divorcee, Separated, Widowed/Widower, or with Status Not Known, | 236 | Divorcee, Separated, Widowed/Widower, or with Status Not Known, | ||
| 237 | offering a comprehensive view of how social and familial structures | 237 | offering a comprehensive view of how social and familial structures | ||
| 238 | intersect with mental health outcomes. Covering multiple years and all | 238 | intersect with mental health outcomes. Covering multiple years and all | ||
| 239 | Indian states and union territories, suicides by marital status | 239 | Indian states and union territories, suicides by marital status | ||
| 240 | dataset serves as an essential resource for researchers, mental health | 240 | dataset serves as an essential resource for researchers, mental health | ||
| 241 | professionals, and policymakers seeking to understand patterns of | 241 | professionals, and policymakers seeking to understand patterns of | ||
| 242 | suicide in relation to social identity and marital conditions. It | 242 | suicide in relation to social identity and marital conditions. It | ||
| 243 | facilitates comparative and trend-based analyses to inform targeted | 243 | facilitates comparative and trend-based analyses to inform targeted | ||
| 244 | suicide prevention, social welfare, and mental health support programs | 244 | suicide prevention, social welfare, and mental health support programs | ||
| 245 | at both national and regional levels.", | 245 | at both national and regional levels.", | ||
| 246 | "district_no": "0", | 246 | "district_no": "0", | ||
| 247 | "format": "CSV", | 247 | "format": "CSV", | ||
| 248 | "frequency": "Yearly", | 248 | "frequency": "Yearly", | ||
| 249 | "gp_no": "0", | 249 | "gp_no": "0", | ||
| 250 | "granularity": "State", | 250 | "granularity": "State", | ||
| 251 | "hash": "", | 251 | "hash": "", | ||
| 252 | "id": "00c97b31-f859-40e2-9748-b1cf7ea0b0d2", | 252 | "id": "00c97b31-f859-40e2-9748-b1cf7ea0b0d2", | ||
| 253 | "idp_ready": true, | 253 | "idp_ready": true, | ||
| 254 | "indicators": [ | 254 | "indicators": [ | ||
| 255 | "Number of Deaths" | 255 | "Number of Deaths" | ||
| 256 | ], | 256 | ], | ||
| 257 | "last_modified": "2026-03-03T10:48:17.634732", | 257 | "last_modified": "2026-03-03T10:48:17.634732", | ||
| 258 | "lgd_mapping": "yes", | 258 | "lgd_mapping": "yes", | ||
| 259 | "mapping_status": 100, | 259 | "mapping_status": 100, | ||
| 260 | "metadata_modified": "2026-03-03T11:18:25.019161", | 260 | "metadata_modified": "2026-03-03T11:18:25.019161", | ||
| 261 | "methodology": "The National Crime Records Bureau (NCRB) | 261 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 262 | compiles profession-wise suicide statistics annually based on | 262 | compiles profession-wise suicide statistics annually based on | ||
| 263 | information gathered during police investigations, autopsy reports, | 263 | information gathered during police investigations, autopsy reports, | ||
| 264 | and inputs recorded by state crime records bureaus. When a suicide | 264 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 265 | case is registered, investigating officers classify the | 265 | case is registered, investigating officers classify the | ||
| 266 | deceased\u2019s occupation or livelihood at the time of death into | 266 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 267 | predefined categories such as farmers, daily wage earners, students, | 267 | predefined categories such as farmers, daily wage earners, students, | ||
| 268 | professionals, or unemployed individuals. These occupational details | 268 | professionals, or unemployed individuals. These occupational details | ||
| 269 | are typically reported by family members, witnesses, or through | 269 | are typically reported by family members, witnesses, or through | ||
| 270 | available identification records. State-level data are consolidated | 270 | available identification records. State-level data are consolidated | ||
| 271 | and published in the Accidental Deaths and Suicides in India (ADSI) | 271 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 272 | report, with suicide rates calculated using relevant occupational | 272 | report, with suicide rates calculated using relevant occupational | ||
| 273 | population estimates where available.", | 273 | population estimates where available.", | ||
| 274 | "mimetype": null, | 274 | "mimetype": null, | ||
| 275 | "mimetype_inner": null, | 275 | "mimetype_inner": null, | ||
| 276 | "name": "Suicides by Marital Status", | 276 | "name": "Suicides by Marital Status", | ||
| 277 | "no_indicators": "1", | 277 | "no_indicators": "1", | ||
| 278 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | 278 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | ||
| 279 | "position": 2, | 279 | "position": 2, | ||
| 280 | "resource_type": null, | 280 | "resource_type": null, | ||
| 281 | "similar_resources": | 281 | "similar_resources": | ||
| 282 | 9cb-9f81-4198-9f75-9e7a0b62b69b,fd60d87e-c26d-4a57-87a1-b3fb72c2c78c", | 282 | 9cb-9f81-4198-9f75-9e7a0b62b69b,fd60d87e-c26d-4a57-87a1-b3fb72c2c78c", | ||
| 283 | "size": 220201, | 283 | "size": 220201, | ||
| 284 | "sku": "ncrb-adsi_suicides_by_marital_status-st-yr-aaa", | 284 | "sku": "ncrb-adsi_suicides_by_marital_status-st-yr-aaa", | ||
| 285 | "state": "active", | 285 | "state": "active", | ||
| 286 | "states_uts_no": "36", | 286 | "states_uts_no": "36", | ||
| 287 | "tehsil_no": "0", | 287 | "tehsil_no": "0", | ||
| 288 | "url": | 288 | "url": | ||
| 289 | -f859-40e2-9748-b1cf7ea0b0d2/download/suicides-by-marital-status.csv", | 289 | -f859-40e2-9748-b1cf7ea0b0d2/download/suicides-by-marital-status.csv", | ||
| 290 | "url_type": "upload", | 290 | "url_type": "upload", | ||
| 291 | "years_covered": "2018 - 2022" | 291 | "years_covered": "2018 - 2022" | ||
| 292 | }, | 292 | }, | ||
| 293 | { | 293 | { | ||
| 294 | "additional_info": "", | 294 | "additional_info": "", | ||
| 295 | "cache_last_updated": null, | 295 | "cache_last_updated": null, | ||
| 296 | "cache_url": null, | 296 | "cache_url": null, | ||
| 297 | "created": "2026-03-03T10:54:21.246601", | 297 | "created": "2026-03-03T10:54:21.246601", | ||
| 298 | "data_extraction_page": | 298 | "data_extraction_page": | ||
| 299 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 299 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 300 | "data_insights": "The Suicides by Educational Status dataset | 300 | "data_insights": "The Suicides by Educational Status dataset | ||
| 301 | provides crucial insights into how levels of educational attainment | 301 | provides crucial insights into how levels of educational attainment | ||
| 302 | influence vulnerability to suicide across India. By examining suicide | 302 | influence vulnerability to suicide across India. By examining suicide | ||
| 303 | counts disaggregated by education categories\u2014from No Education to | 303 | counts disaggregated by education categories\u2014from No Education to | ||
| 304 | Professionals (MBA etc.). The dataset enables researchers to assess | 304 | Professionals (MBA etc.). The dataset enables researchers to assess | ||
| 305 | the relationship between literacy, knowledge access, and mental health | 305 | the relationship between literacy, knowledge access, and mental health | ||
| 306 | resilience. Analysis of this data can reveal whether individuals with | 306 | resilience. Analysis of this data can reveal whether individuals with | ||
| 307 | lower education levels face greater psychological and economic stress | 307 | lower education levels face greater psychological and economic stress | ||
| 308 | due to limited opportunities, or whether highly educated individuals | 308 | due to limited opportunities, or whether highly educated individuals | ||
| 309 | experience distinct forms of social or professional pressure | 309 | experience distinct forms of social or professional pressure | ||
| 310 | contributing to suicide risk.\n\nWhen analyzed alongside gender and | 310 | contributing to suicide risk.\n\nWhen analyzed alongside gender and | ||
| 311 | regional dimensions, the dataset allows for nuanced understanding of | 311 | regional dimensions, the dataset allows for nuanced understanding of | ||
| 312 | how education interacts with social context such as gendered | 312 | how education interacts with social context such as gendered | ||
| 313 | expectations, employment insecurity, or urban-rural disparities to | 313 | expectations, employment insecurity, or urban-rural disparities to | ||
| 314 | shape suicide patterns. Temporal trends can show whether educational | 314 | shape suicide patterns. Temporal trends can show whether educational | ||
| 315 | empowerment and literacy growth are translating into improved mental | 315 | empowerment and literacy growth are translating into improved mental | ||
| 316 | well-being, or if emerging academic and employment pressures are | 316 | well-being, or if emerging academic and employment pressures are | ||
| 317 | increasing suicide risks among educated youth.", | 317 | increasing suicide risks among educated youth.", | ||
| 318 | "data_last_updated": "30-09-2025", | 318 | "data_last_updated": "30-09-2025", | ||
| 319 | "data_retreival_date": "18-10-2025", | 319 | "data_retreival_date": "18-10-2025", | ||
| 320 | "datastore_active": true, | 320 | "datastore_active": true, | ||
| 321 | "description": "The Suicides by Educational Status dataset, | 321 | "description": "The Suicides by Educational Status dataset, | ||
| 322 | published by the National Crime Records Bureau (NCRB) under the | 322 | published by the National Crime Records Bureau (NCRB) under the | ||
| 323 | Accidental Deaths and Suicides in India (ADSI) reports, provides | 323 | Accidental Deaths and Suicides in India (ADSI) reports, provides | ||
| 324 | comprehensive statistics on suicide incidents across India classified | 324 | comprehensive statistics on suicide incidents across India classified | ||
| 325 | by the educational attainment of individuals, along with gender, | 325 | by the educational attainment of individuals, along with gender, | ||
| 326 | state, and year. The dataset categorizes education levels into groups | 326 | state, and year. The dataset categorizes education levels into groups | ||
| 327 | such as No Education, Primary (Up to Class 5th), Middle (Up to Class | 327 | such as No Education, Primary (Up to Class 5th), Middle (Up to Class | ||
| 328 | 8th), Matriculate/Secondary (Up to Class 10th), Higher | 328 | 8th), Matriculate/Secondary (Up to Class 10th), Higher | ||
| 329 | Secondary/Intermediate/Pre-University (Up to Class 12th), | 329 | Secondary/Intermediate/Pre-University (Up to Class 12th), | ||
| 330 | Diploma/Certificate/ITI, Graduate and Above, Professionals (MBA etc.), | 330 | Diploma/Certificate/ITI, Graduate and Above, Professionals (MBA etc.), | ||
| 331 | and Status Not Known.\n\nThis classification enables detailed analysis | 331 | and Status Not Known.\n\nThis classification enables detailed analysis | ||
| 332 | of how educational achievement correlates with vulnerability to | 332 | of how educational achievement correlates with vulnerability to | ||
| 333 | suicide, shedding light on the intersection of literacy, socioeconomic | 333 | suicide, shedding light on the intersection of literacy, socioeconomic | ||
| 334 | opportunity, and mental health outcomes. Covering data across Indian | 334 | opportunity, and mental health outcomes. Covering data across Indian | ||
| 335 | states and union territories over multiple years, suicides by | 335 | states and union territories over multiple years, suicides by | ||
| 336 | educational status dataset serves as a vital resource for educators, | 336 | educational status dataset serves as a vital resource for educators, | ||
| 337 | researchers, and policymakers seeking to understand how educational | 337 | researchers, and policymakers seeking to understand how educational | ||
| 338 | background influences mental health resilience, stress exposure, and | 338 | background influences mental health resilience, stress exposure, and | ||
| 339 | access to social or psychological support. It supports evidence-based | 339 | access to social or psychological support. It supports evidence-based | ||
| 340 | planning of education-linked mental health initiatives and public | 340 | planning of education-linked mental health initiatives and public | ||
| 341 | awareness campaigns aimed at suicide prevention and social | 341 | awareness campaigns aimed at suicide prevention and social | ||
| 342 | well-being.", | 342 | well-being.", | ||
| 343 | "district_no": "0", | 343 | "district_no": "0", | ||
| 344 | "format": "CSV", | 344 | "format": "CSV", | ||
| 345 | "frequency": "Yearly", | 345 | "frequency": "Yearly", | ||
| 346 | "gp_no": "0", | 346 | "gp_no": "0", | ||
| 347 | "granularity": "State", | 347 | "granularity": "State", | ||
| 348 | "hash": "", | 348 | "hash": "", | ||
| 349 | "id": "b9ba726e-9435-48d2-ad48-8d4cb3dc28fa", | 349 | "id": "b9ba726e-9435-48d2-ad48-8d4cb3dc28fa", | ||
| 350 | "idp_ready": true, | 350 | "idp_ready": true, | ||
| 351 | "indicators": [ | 351 | "indicators": [ | ||
| 352 | "Number of Deaths" | 352 | "Number of Deaths" | ||
| 353 | ], | 353 | ], | ||
| 354 | "last_modified": "2026-03-06T10:19:41.303244", | 354 | "last_modified": "2026-03-06T10:19:41.303244", | ||
| 355 | "lgd_mapping": "yes", | 355 | "lgd_mapping": "yes", | ||
| 356 | "mapping_status": 100, | 356 | "mapping_status": 100, | ||
| n | 357 | "metadata_modified": "2026-03-06T10:19:41.490374", | n | 357 | "metadata_modified": "2026-03-06T10:19:49.276035", |
| 358 | "methodology": "The National Crime Records Bureau (NCRB) | 358 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 359 | compiles profession-wise suicide statistics annually based on | 359 | compiles profession-wise suicide statistics annually based on | ||
| 360 | information gathered during police investigations, autopsy reports, | 360 | information gathered during police investigations, autopsy reports, | ||
| 361 | and inputs recorded by state crime records bureaus. When a suicide | 361 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 362 | case is registered, investigating officers classify the | 362 | case is registered, investigating officers classify the | ||
| 363 | deceased\u2019s occupation or livelihood at the time of death into | 363 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 364 | predefined categories such as farmers, daily wage earners, students, | 364 | predefined categories such as farmers, daily wage earners, students, | ||
| 365 | professionals, or unemployed individuals. These occupational details | 365 | professionals, or unemployed individuals. These occupational details | ||
| 366 | are typically reported by family members, witnesses, or through | 366 | are typically reported by family members, witnesses, or through | ||
| 367 | available identification records. State-level data are consolidated | 367 | available identification records. State-level data are consolidated | ||
| 368 | and published in the Accidental Deaths and Suicides in India (ADSI) | 368 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 369 | report, with suicide rates calculated using relevant occupational | 369 | report, with suicide rates calculated using relevant occupational | ||
| 370 | population estimates where available.", | 370 | population estimates where available.", | ||
| 371 | "mimetype": "text/csv", | 371 | "mimetype": "text/csv", | ||
| 372 | "mimetype_inner": null, | 372 | "mimetype_inner": null, | ||
| 373 | "name": "Suicides by Educational Status", | 373 | "name": "Suicides by Educational Status", | ||
| 374 | "no_indicators": "1", | 374 | "no_indicators": "1", | ||
| 375 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | 375 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | ||
| 376 | "position": 3, | 376 | "position": 3, | ||
| 377 | "resource_type": null, | 377 | "resource_type": null, | ||
| n | n | 378 | "similar_datasets": [], | ||
| 378 | "similar_resources": | 379 | "similar_resources": | ||
| 379 | 9cb-9f81-4198-9f75-9e7a0b62b69b,fd60d87e-c26d-4a57-87a1-b3fb72c2c78c", | 380 | 9cb-9f81-4198-9f75-9e7a0b62b69b,fd60d87e-c26d-4a57-87a1-b3fb72c2c78c", | ||
| 380 | "size": 378877, | 381 | "size": 378877, | ||
| 381 | "sku": "ncrb-adsi_suicides_by_educational_status-st-yr-aaa", | 382 | "sku": "ncrb-adsi_suicides_by_educational_status-st-yr-aaa", | ||
| 382 | "state": "active", | 383 | "state": "active", | ||
| 383 | "states_uts_no": "36", | 384 | "states_uts_no": "36", | ||
| t | t | 385 | "tags": [ | ||
| 386 | "Suicides by Educational Status", | ||||
| 387 | "Education and Mental Health", | ||||
| 388 | "NCRB ADSI", | ||||
| 389 | "Literacy and Suicide", | ||||
| 390 | "Academic Stress in India", | ||||
| 391 | "Socioeconomic Factors in Suicide", | ||||
| 392 | "Education Level Analysis", | ||||
| 393 | "Suicide Prevention in Education" | ||||
| 394 | ], | ||||
| 384 | "tehsil_no": "0", | 395 | "tehsil_no": "0", | ||
| 385 | "url": | 396 | "url": | ||
| 386 | 5-48d2-ad48-8d4cb3dc28fa/download/suicides-by-educational-status.csv", | 397 | 5-48d2-ad48-8d4cb3dc28fa/download/suicides-by-educational-status.csv", | ||
| 387 | "url_type": "upload", | 398 | "url_type": "upload", | ||
| 388 | "village_no": "0", | 399 | "village_no": "0", | ||
| 389 | "years_covered": "2018 - 2022" | 400 | "years_covered": "2018 - 2022" | ||
| 390 | }, | 401 | }, | ||
| 391 | { | 402 | { | ||
| 392 | "additional_info": "", | 403 | "additional_info": "", | ||
| 393 | "cache_last_updated": null, | 404 | "cache_last_updated": null, | ||
| 394 | "cache_url": null, | 405 | "cache_url": null, | ||
| 395 | "created": "2026-03-03T10:57:38.833193", | 406 | "created": "2026-03-03T10:57:38.833193", | ||
| 396 | "data_extraction_page": | 407 | "data_extraction_page": | ||
| 397 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 408 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 398 | "data_insights": "The Suicides by Economic Status dataset | 409 | "data_insights": "The Suicides by Economic Status dataset | ||
| 399 | provides key insights into how financial standing and economic | 410 | provides key insights into how financial standing and economic | ||
| 400 | pressures shape suicide patterns across India. Analysis of suicides by | 411 | pressures shape suicide patterns across India. Analysis of suicides by | ||
| 401 | income category allows researchers to evaluate whether lower-income | 412 | income category allows researchers to evaluate whether lower-income | ||
| 402 | groups are disproportionately affected by financial stress and | 413 | groups are disproportionately affected by financial stress and | ||
| 403 | livelihood insecurity, or whether higher-income segments experience | 414 | livelihood insecurity, or whether higher-income segments experience | ||
| 404 | distinct forms of social or psychological stress. Disaggregation by | 415 | distinct forms of social or psychological stress. Disaggregation by | ||
| 405 | gender and region reveals how financial vulnerability intersects with | 416 | gender and region reveals how financial vulnerability intersects with | ||
| 406 | social roles and access to economic opportunities \u2014 for example, | 417 | social roles and access to economic opportunities \u2014 for example, | ||
| 407 | whether men in lower-income brackets are more prone to economic | 418 | whether men in lower-income brackets are more prone to economic | ||
| 408 | distress suicides or if women\u2019s suicide patterns vary by | 419 | distress suicides or if women\u2019s suicide patterns vary by | ||
| 409 | household income levels.Temporal analysis of the data helps identify | 420 | household income levels.Temporal analysis of the data helps identify | ||
| 410 | trends over time, such as rising suicides among certain income groups | 421 | trends over time, such as rising suicides among certain income groups | ||
| 411 | during economic downturns, agricultural distress, or periods of | 422 | during economic downturns, agricultural distress, or periods of | ||
| 412 | unemployment. State-wise comparisons uncover geographic disparities in | 423 | unemployment. State-wise comparisons uncover geographic disparities in | ||
| 413 | the economic determinants of suicide, guiding targeted welfare and | 424 | the economic determinants of suicide, guiding targeted welfare and | ||
| 414 | mental health interventions. Overall, the dataset supports | 425 | mental health interventions. Overall, the dataset supports | ||
| 415 | evidence-based policymaking in areas such as poverty alleviation, | 426 | evidence-based policymaking in areas such as poverty alleviation, | ||
| 416 | employment generation, mental health services, and social protection, | 427 | employment generation, mental health services, and social protection, | ||
| 417 | highlighting the need to address the intersection of economic hardship | 428 | highlighting the need to address the intersection of economic hardship | ||
| 418 | and psychological well-being in suicide prevention strategies.", | 429 | and psychological well-being in suicide prevention strategies.", | ||
| 419 | "data_last_updated": "30-09-2025", | 430 | "data_last_updated": "30-09-2025", | ||
| 420 | "data_retreival_date": "17-10-2025", | 431 | "data_retreival_date": "17-10-2025", | ||
| 421 | "datastore_active": true, | 432 | "datastore_active": true, | ||
| 422 | "description": "The Suicides by Economic Status dataset, | 433 | "description": "The Suicides by Economic Status dataset, | ||
| 423 | compiled by the National Crime Records Bureau (NCRB) under the | 434 | compiled by the National Crime Records Bureau (NCRB) under the | ||
| 424 | Accidental Deaths and Suicides in India (ADSI) reports, presents | 435 | Accidental Deaths and Suicides in India (ADSI) reports, presents | ||
| 425 | comprehensive data on suicide cases across India categorized by | 436 | comprehensive data on suicide cases across India categorized by | ||
| 426 | individuals\u2019 economic status, gender, and state over multiple | 437 | individuals\u2019 economic status, gender, and state over multiple | ||
| 427 | years. The dataset classifies economic conditions into four income | 438 | years. The dataset classifies economic conditions into four income | ||
| 428 | brackets \u2014 Less Than \u20b91 Lakh, \u20b91 Lakh & Above - Less | 439 | brackets \u2014 Less Than \u20b91 Lakh, \u20b91 Lakh & Above - Less | ||
| 429 | Than \u20b95 Lakhs, \u20b95 Lakhs & Above - Less Than \u20b910 Lakhs, | 440 | Than \u20b95 Lakhs, \u20b95 Lakhs & Above - Less Than \u20b910 Lakhs, | ||
| 430 | and \u20b910 Lakhs And Above, providing a valuable perspective on how | 441 | and \u20b910 Lakhs And Above, providing a valuable perspective on how | ||
| 431 | economic well-being correlates with suicide incidence. By capturing | 442 | economic well-being correlates with suicide incidence. By capturing | ||
| 432 | these socioeconomic dimensions alongside demographic and regional | 443 | these socioeconomic dimensions alongside demographic and regional | ||
| 433 | indicators, Suicides by Economic Status dataset serves as a critical | 444 | indicators, Suicides by Economic Status dataset serves as a critical | ||
| 434 | resource for researchers, economists, and policymakers aiming to | 445 | resource for researchers, economists, and policymakers aiming to | ||
| 435 | understand the relationship between financial stress, livelihood | 446 | understand the relationship between financial stress, livelihood | ||
| 436 | insecurity, and mental health outcomes in India. It enables both | 447 | insecurity, and mental health outcomes in India. It enables both | ||
| 437 | longitudinal and cross-sectional analyses to support targeted social | 448 | longitudinal and cross-sectional analyses to support targeted social | ||
| 438 | and economic interventions.", | 449 | and economic interventions.", | ||
| 439 | "district_no": "0", | 450 | "district_no": "0", | ||
| 440 | "format": "CSV", | 451 | "format": "CSV", | ||
| 441 | "frequency": "Yearly", | 452 | "frequency": "Yearly", | ||
| 442 | "gp_no": "0", | 453 | "gp_no": "0", | ||
| 443 | "granularity": "State", | 454 | "granularity": "State", | ||
| 444 | "hash": "", | 455 | "hash": "", | ||
| 445 | "id": "fa595762-cd66-4e1e-90ed-604adfca0954", | 456 | "id": "fa595762-cd66-4e1e-90ed-604adfca0954", | ||
| 446 | "idp_ready": true, | 457 | "idp_ready": true, | ||
| 447 | "indicators": [ | 458 | "indicators": [ | ||
| 448 | "Number of Deaths" | 459 | "Number of Deaths" | ||
| 449 | ], | 460 | ], | ||
| 450 | "last_modified": "2026-03-03T10:57:38.799527", | 461 | "last_modified": "2026-03-03T10:57:38.799527", | ||
| 451 | "lgd_mapping": "yes", | 462 | "lgd_mapping": "yes", | ||
| 452 | "mapping_status": 100, | 463 | "mapping_status": 100, | ||
| 453 | "metadata_modified": "2026-03-03T11:20:45.364475", | 464 | "metadata_modified": "2026-03-03T11:20:45.364475", | ||
| 454 | "methodology": "The National Crime Records Bureau (NCRB) | 465 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 455 | compiles profession-wise suicide statistics annually based on | 466 | compiles profession-wise suicide statistics annually based on | ||
| 456 | information gathered during police investigations, autopsy reports, | 467 | information gathered during police investigations, autopsy reports, | ||
| 457 | and inputs recorded by state crime records bureaus. When a suicide | 468 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 458 | case is registered, investigating officers classify the | 469 | case is registered, investigating officers classify the | ||
| 459 | deceased\u2019s occupation or livelihood at the time of death into | 470 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 460 | predefined categories such as farmers, daily wage earners, students, | 471 | predefined categories such as farmers, daily wage earners, students, | ||
| 461 | professionals, or unemployed individuals. These occupational details | 472 | professionals, or unemployed individuals. These occupational details | ||
| 462 | are typically reported by family members, witnesses, or through | 473 | are typically reported by family members, witnesses, or through | ||
| 463 | available identification records. State-level data are consolidated | 474 | available identification records. State-level data are consolidated | ||
| 464 | and published in the Accidental Deaths and Suicides in India (ADSI) | 475 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 465 | report, with suicide rates calculated using relevant occupational | 476 | report, with suicide rates calculated using relevant occupational | ||
| 466 | population estimates where available.", | 477 | population estimates where available.", | ||
| 467 | "mimetype": null, | 478 | "mimetype": null, | ||
| 468 | "mimetype_inner": null, | 479 | "mimetype_inner": null, | ||
| 469 | "name": "Suicides by Economic Status", | 480 | "name": "Suicides by Economic Status", | ||
| 470 | "no_indicators": "1", | 481 | "no_indicators": "1", | ||
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| 474 | "similar_resources": | 485 | "similar_resources": | ||
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| 476 | "size": 169354, | 487 | "size": 169354, | ||
| 477 | "sku": "ncrb-adsi_suicides_by_economic_status-st-yr-aaa", | 488 | "sku": "ncrb-adsi_suicides_by_economic_status-st-yr-aaa", | ||
| 478 | "state": "active", | 489 | "state": "active", | ||
| 479 | "states_uts_no": "36", | 490 | "states_uts_no": "36", | ||
| 480 | "tehsil_no": "0", | 491 | "tehsil_no": "0", | ||
| 481 | "url": | 492 | "url": | ||
| 482 | cd66-4e1e-90ed-604adfca0954/download/suicides-by-economic-status.csv", | 493 | cd66-4e1e-90ed-604adfca0954/download/suicides-by-economic-status.csv", | ||
| 483 | "url_type": "upload", | 494 | "url_type": "upload", | ||
| 484 | "years_covered": "2018 - 2022" | 495 | "years_covered": "2018 - 2022" | ||
| 485 | }, | 496 | }, | ||
| 486 | { | 497 | { | ||
| 487 | "additional_info": "", | 498 | "additional_info": "", | ||
| 488 | "cache_last_updated": null, | 499 | "cache_last_updated": null, | ||
| 489 | "cache_url": null, | 500 | "cache_url": null, | ||
| 490 | "created": "2026-03-03T10:59:52.259086", | 501 | "created": "2026-03-03T10:59:52.259086", | ||
| 491 | "data_extraction_page": | 502 | "data_extraction_page": | ||
| 492 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 503 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 493 | "data_insights": "The Suicides by Causes dataset provides deep | 504 | "data_insights": "The Suicides by Causes dataset provides deep | ||
| 494 | insights into the complex and multifactorial nature of suicide in | 505 | insights into the complex and multifactorial nature of suicide in | ||
| 495 | India, enabling researchers to identify dominant social, economic, and | 506 | India, enabling researchers to identify dominant social, economic, and | ||
| 496 | personal factors contributing to suicidal behavior. By categorizing | 507 | personal factors contributing to suicidal behavior. By categorizing | ||
| 497 | cases into causes such as family problems, illness, bankruptcy, | 508 | cases into causes such as family problems, illness, bankruptcy, | ||
| 498 | unemployment, failure in examination, love affairs, drug or alcohol | 509 | unemployment, failure in examination, love affairs, drug or alcohol | ||
| 499 | abuse, and other socio-personal stressors, Suicides by Causes dataset | 510 | abuse, and other socio-personal stressors, Suicides by Causes dataset | ||
| 500 | allows analysts to trace how different pressures manifest across | 511 | allows analysts to trace how different pressures manifest across | ||
| 501 | demographic groups and regions.Cause-wise analysis reveals patterns of | 512 | demographic groups and regions.Cause-wise analysis reveals patterns of | ||
| 502 | vulnerability for example, whether economic distress and unemployment | 513 | vulnerability for example, whether economic distress and unemployment | ||
| 503 | contribute more to suicides among men, or if illness and | 514 | contribute more to suicides among men, or if illness and | ||
| 504 | family-related issues are more prevalent among women. Temporal trends | 515 | family-related issues are more prevalent among women. Temporal trends | ||
| 505 | help identify emerging or declining causes, such as the growing burden | 516 | help identify emerging or declining causes, such as the growing burden | ||
| 506 | of mental illness, substance dependency, or financial stress linked to | 517 | of mental illness, substance dependency, or financial stress linked to | ||
| 507 | economic shifts. Regional and gender disaggregation further highlights | 518 | economic shifts. Regional and gender disaggregation further highlights | ||
| 508 | disparities across states and social groups, pointing to localized | 519 | disparities across states and social groups, pointing to localized | ||
| 509 | socio-economic and cultural risk factors.", | 520 | socio-economic and cultural risk factors.", | ||
| 510 | "data_last_updated": "30-09-2025", | 521 | "data_last_updated": "30-09-2025", | ||
| 511 | "data_retreival_date": "27-10-2025", | 522 | "data_retreival_date": "27-10-2025", | ||
| 512 | "datastore_active": true, | 523 | "datastore_active": true, | ||
| 513 | "description": "The Suicides by Causes dataset, published by the | 524 | "description": "The Suicides by Causes dataset, published by the | ||
| 514 | National Crime Records Bureau (NCRB) under the Accidental Deaths and | 525 | National Crime Records Bureau (NCRB) under the Accidental Deaths and | ||
| 515 | Suicides in India (ADSI) reports, provides a comprehensive breakdown | 526 | Suicides in India (ADSI) reports, provides a comprehensive breakdown | ||
| 516 | of suicide cases across India categorized by the underlying causes of | 527 | of suicide cases across India categorized by the underlying causes of | ||
| 517 | death, along with details on gender, state, and year. The dataset | 528 | death, along with details on gender, state, and year. The dataset | ||
| 518 | classifies causes into a diverse range of social, economic, and | 529 | classifies causes into a diverse range of social, economic, and | ||
| 519 | personal factors such as family problems, illness, bankruptcy, | 530 | personal factors such as family problems, illness, bankruptcy, | ||
| 520 | unemployment, failure in examination, love affairs, drug abuse, and | 531 | unemployment, failure in examination, love affairs, drug abuse, and | ||
| 521 | other causes offering an in-depth view of the multifaceted drivers of | 532 | other causes offering an in-depth view of the multifaceted drivers of | ||
| 522 | suicide in Indian society.", | 533 | suicide in Indian society.", | ||
| 523 | "district_no": "0", | 534 | "district_no": "0", | ||
| 524 | "format": "CSV", | 535 | "format": "CSV", | ||
| 525 | "frequency": "Yearly", | 536 | "frequency": "Yearly", | ||
| 526 | "gp_no": "0", | 537 | "gp_no": "0", | ||
| 527 | "granularity": "State", | 538 | "granularity": "State", | ||
| 528 | "hash": "", | 539 | "hash": "", | ||
| 529 | "id": "8427e49e-20bf-493a-a24e-8eeda6d8b271", | 540 | "id": "8427e49e-20bf-493a-a24e-8eeda6d8b271", | ||
| 530 | "idp_ready": true, | 541 | "idp_ready": true, | ||
| 531 | "indicators": [ | 542 | "indicators": [ | ||
| 532 | "Number of Deaths" | 543 | "Number of Deaths" | ||
| 533 | ], | 544 | ], | ||
| 534 | "last_modified": "2026-03-03T10:59:52.223094", | 545 | "last_modified": "2026-03-03T10:59:52.223094", | ||
| 535 | "lgd_mapping": "yes", | 546 | "lgd_mapping": "yes", | ||
| 536 | "mapping_status": 100, | 547 | "mapping_status": 100, | ||
| 537 | "metadata_modified": "2026-03-03T11:21:57.383221", | 548 | "metadata_modified": "2026-03-03T11:21:57.383221", | ||
| 538 | "methodology": "The National Crime Records Bureau (NCRB) | 549 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 539 | compiles profession-wise suicide statistics annually based on | 550 | compiles profession-wise suicide statistics annually based on | ||
| 540 | information gathered during police investigations, autopsy reports, | 551 | information gathered during police investigations, autopsy reports, | ||
| 541 | and inputs recorded by state crime records bureaus. When a suicide | 552 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 542 | case is registered, investigating officers classify the | 553 | case is registered, investigating officers classify the | ||
| 543 | deceased\u2019s occupation or livelihood at the time of death into | 554 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 544 | predefined categories such as farmers, daily wage earners, students, | 555 | predefined categories such as farmers, daily wage earners, students, | ||
| 545 | professionals, or unemployed individuals. These occupational details | 556 | professionals, or unemployed individuals. These occupational details | ||
| 546 | are typically reported by family members, witnesses, or through | 557 | are typically reported by family members, witnesses, or through | ||
| 547 | available identification records. State-level data are consolidated | 558 | available identification records. State-level data are consolidated | ||
| 548 | and published in the Accidental Deaths and Suicides in India (ADSI) | 559 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 549 | report, with suicide rates calculated using relevant occupational | 560 | report, with suicide rates calculated using relevant occupational | ||
| 550 | population estimates where available.", | 561 | population estimates where available.", | ||
| 551 | "mimetype": null, | 562 | "mimetype": null, | ||
| 552 | "mimetype_inner": null, | 563 | "mimetype_inner": null, | ||
| 553 | "name": "Suicides by Causes", | 564 | "name": "Suicides by Causes", | ||
| 554 | "no_indicators": "1", | 565 | "no_indicators": "1", | ||
| 555 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | 566 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | ||
| 556 | "position": 5, | 567 | "position": 5, | ||
| 557 | "resource_type": null, | 568 | "resource_type": null, | ||
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| 560 | "size": 1223617, | 571 | "size": 1223617, | ||
| 561 | "sku": "ncrb-adsi_suicides_by_cause_wise-st-yr-aaa", | 572 | "sku": "ncrb-adsi_suicides_by_cause_wise-st-yr-aaa", | ||
| 562 | "state": "active", | 573 | "state": "active", | ||
| 563 | "states_uts_no": "36", | 574 | "states_uts_no": "36", | ||
| 564 | "tehsil_no": "0", | 575 | "tehsil_no": "0", | ||
| 565 | "url": | 576 | "url": | ||
| 566 | 8427e49e-20bf-493a-a24e-8eeda6d8b271/download/suicides-by-causes.csv", | 577 | 8427e49e-20bf-493a-a24e-8eeda6d8b271/download/suicides-by-causes.csv", | ||
| 567 | "url_type": "upload", | 578 | "url_type": "upload", | ||
| 568 | "years_covered": "2018 - 2022" | 579 | "years_covered": "2018 - 2022" | ||
| 569 | }, | 580 | }, | ||
| 570 | { | 581 | { | ||
| 571 | "additional_info": "", | 582 | "additional_info": "", | ||
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| 574 | "created": "2026-03-03T11:02:40.598473", | 585 | "created": "2026-03-03T11:02:40.598473", | ||
| 575 | "data_extraction_page": | 586 | "data_extraction_page": | ||
| 576 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 587 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 577 | "data_insights": "The Mass/Family Suicides dataset offers a rare | 588 | "data_insights": "The Mass/Family Suicides dataset offers a rare | ||
| 578 | and deeply significant window into the social and emotional crises | 589 | and deeply significant window into the social and emotional crises | ||
| 579 | that lead to collective acts of suicide within families or close | 590 | that lead to collective acts of suicide within families or close | ||
| 580 | groups in India. By examining the number of such cases disaggregated | 591 | groups in India. By examining the number of such cases disaggregated | ||
| 581 | by marital status (Married and Unmarried), the dataset allows | 592 | by marital status (Married and Unmarried), the dataset allows | ||
| 582 | researchers to explore how family structure, relationship dynamics, | 593 | researchers to explore how family structure, relationship dynamics, | ||
| 583 | and social pressures contribute to extreme distress culminating in | 594 | and social pressures contribute to extreme distress culminating in | ||
| 584 | shared suicide events.Analysis of this data can reveal whether married | 595 | shared suicide events.Analysis of this data can reveal whether married | ||
| 585 | individuals are more frequently involved in mass suicides, potentially | 596 | individuals are more frequently involved in mass suicides, potentially | ||
| 586 | reflecting family or financial stress or whether unmarried individuals | 597 | reflecting family or financial stress or whether unmarried individuals | ||
| 587 | face distinct psychological or social triggers. Temporal and regional | 598 | face distinct psychological or social triggers. Temporal and regional | ||
| 588 | patterns may highlight states or periods where collective suicides | 599 | patterns may highlight states or periods where collective suicides | ||
| 589 | increase, possibly in connection with economic hardship, social | 600 | increase, possibly in connection with economic hardship, social | ||
| 590 | isolation, or cultural pressures.", | 601 | isolation, or cultural pressures.", | ||
| 591 | "data_last_updated": "30-09-2025", | 602 | "data_last_updated": "30-09-2025", | ||
| 592 | "data_retreival_date": "27-10-2025", | 603 | "data_retreival_date": "27-10-2025", | ||
| 593 | "datastore_active": true, | 604 | "datastore_active": true, | ||
| 594 | "description": "The Mass/Family Suicides dataset, compiled by | 605 | "description": "The Mass/Family Suicides dataset, compiled by | ||
| 595 | the National Crime Records Bureau (NCRB) as part of the Accidental | 606 | the National Crime Records Bureau (NCRB) as part of the Accidental | ||
| 596 | Deaths and Suicides in India (ADSI) series, presents detailed | 607 | Deaths and Suicides in India (ADSI) series, presents detailed | ||
| 597 | statistics on suicide incidents involving multiple members of a family | 608 | statistics on suicide incidents involving multiple members of a family | ||
| 598 | or collective groups across India. The dataset includes variables such | 609 | or collective groups across India. The dataset includes variables such | ||
| 599 | as the number of cases, and the marital status of victims (categorized | 610 | as the number of cases, and the marital status of victims (categorized | ||
| 600 | as Married and Unmarried), providing insights into family-based | 611 | as Married and Unmarried), providing insights into family-based | ||
| 601 | distress and shared psychosocial vulnerabilities that lead to such | 612 | distress and shared psychosocial vulnerabilities that lead to such | ||
| 602 | extreme outcomes.", | 613 | extreme outcomes.", | ||
| 603 | "district_no": "0", | 614 | "district_no": "0", | ||
| 604 | "format": "CSV", | 615 | "format": "CSV", | ||
| 605 | "frequency": "Yearly", | 616 | "frequency": "Yearly", | ||
| 606 | "gp_no": "0", | 617 | "gp_no": "0", | ||
| 607 | "granularity": "State", | 618 | "granularity": "State", | ||
| 608 | "hash": "", | 619 | "hash": "", | ||
| 609 | "id": "4b8289cb-9f81-4198-9f75-9e7a0b62b69b", | 620 | "id": "4b8289cb-9f81-4198-9f75-9e7a0b62b69b", | ||
| 610 | "idp_ready": true, | 621 | "idp_ready": true, | ||
| 611 | "indicators": [ | 622 | "indicators": [ | ||
| 612 | "Cases", | 623 | "Cases", | ||
| 613 | "Deaths of Married", | 624 | "Deaths of Married", | ||
| 614 | "Deaths of Un-Married" | 625 | "Deaths of Un-Married" | ||
| 615 | ], | 626 | ], | ||
| 616 | "last_modified": "2026-03-03T11:02:40.561056", | 627 | "last_modified": "2026-03-03T11:02:40.561056", | ||
| 617 | "lgd_mapping": "yes", | 628 | "lgd_mapping": "yes", | ||
| 618 | "mapping_status": 100, | 629 | "mapping_status": 100, | ||
| 619 | "metadata_modified": "2026-03-03T11:23:06.511040", | 630 | "metadata_modified": "2026-03-03T11:23:06.511040", | ||
| 620 | "methodology": "The National Crime Records Bureau (NCRB) | 631 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 621 | compiles profession-wise suicide statistics annually based on | 632 | compiles profession-wise suicide statistics annually based on | ||
| 622 | information gathered during police investigations, autopsy reports, | 633 | information gathered during police investigations, autopsy reports, | ||
| 623 | and inputs recorded by state crime records bureaus. When a suicide | 634 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 624 | case is registered, investigating officers classify the | 635 | case is registered, investigating officers classify the | ||
| 625 | deceased\u2019s occupation or livelihood at the time of death into | 636 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 626 | predefined categories such as farmers, daily wage earners, students, | 637 | predefined categories such as farmers, daily wage earners, students, | ||
| 627 | professionals, or unemployed individuals. These occupational details | 638 | professionals, or unemployed individuals. These occupational details | ||
| 628 | are typically reported by family members, witnesses, or through | 639 | are typically reported by family members, witnesses, or through | ||
| 629 | available identification records. State-level data are consolidated | 640 | available identification records. State-level data are consolidated | ||
| 630 | and published in the Accidental Deaths and Suicides in India (ADSI) | 641 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 631 | report, with suicide rates calculated using relevant occupational | 642 | report, with suicide rates calculated using relevant occupational | ||
| 632 | population estimates where available.", | 643 | population estimates where available.", | ||
| 633 | "mimetype": null, | 644 | "mimetype": null, | ||
| 634 | "mimetype_inner": null, | 645 | "mimetype_inner": null, | ||
| 635 | "name": "Mass or Family Suicides", | 646 | "name": "Mass or Family Suicides", | ||
| 636 | "no_indicators": "3", | 647 | "no_indicators": "3", | ||
| 637 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | 648 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | ||
| 638 | "position": 6, | 649 | "position": 6, | ||
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| 640 | "similar_resources": | 651 | "similar_resources": | ||
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| 642 | "size": 7582, | 653 | "size": 7582, | ||
| 643 | "sku": "ncrb-adsi_mass_or_family_suicides-st-yr-aaa", | 654 | "sku": "ncrb-adsi_mass_or_family_suicides-st-yr-aaa", | ||
| 644 | "state": "active", | 655 | "state": "active", | ||
| 645 | "states_uts_no": "36", | 656 | "states_uts_no": "36", | ||
| 646 | "tehsil_no": "0", | 657 | "tehsil_no": "0", | ||
| 647 | "url": | 658 | "url": | ||
| 648 | 9cb-9f81-4198-9f75-9e7a0b62b69b/download/mass-or-family-suicides.csv", | 659 | 9cb-9f81-4198-9f75-9e7a0b62b69b/download/mass-or-family-suicides.csv", | ||
| 649 | "url_type": "upload", | 660 | "url_type": "upload", | ||
| 650 | "years_covered": "2018 - 2022" | 661 | "years_covered": "2018 - 2022" | ||
| 651 | }, | 662 | }, | ||
| 652 | { | 663 | { | ||
| 653 | "additional_info": "", | 664 | "additional_info": "", | ||
| 654 | "cache_last_updated": null, | 665 | "cache_last_updated": null, | ||
| 655 | "cache_url": null, | 666 | "cache_url": null, | ||
| 656 | "created": "2026-03-03T11:05:09.036674", | 667 | "created": "2026-03-03T11:05:09.036674", | ||
| 657 | "data_extraction_page": | 668 | "data_extraction_page": | ||
| 658 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 669 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 659 | "data_insights": "The Incidence and Rate of Suicides dataset | 670 | "data_insights": "The Incidence and Rate of Suicides dataset | ||
| 660 | provides essential insights into the scale, trends, and demographic | 671 | provides essential insights into the scale, trends, and demographic | ||
| 661 | distribution of suicides across India. By analyzing both the absolute | 672 | distribution of suicides across India. By analyzing both the absolute | ||
| 662 | number of suicide cases and the rate per lakh population, researchers | 673 | number of suicide cases and the rate per lakh population, researchers | ||
| 663 | can distinguish between regions experiencing high suicide counts due | 674 | can distinguish between regions experiencing high suicide counts due | ||
| 664 | to population size and those facing disproportionately high suicide | 675 | to population size and those facing disproportionately high suicide | ||
| 665 | rates relative to their population.This distinction is critical for | 676 | rates relative to their population.This distinction is critical for | ||
| 666 | identifying high-burden states and emerging risk zones, enabling | 677 | identifying high-burden states and emerging risk zones, enabling | ||
| 667 | policymakers to prioritize mental health interventions where they are | 678 | policymakers to prioritize mental health interventions where they are | ||
| 668 | needed most. Temporal analysis reveals how suicide incidence and rates | 679 | needed most. Temporal analysis reveals how suicide incidence and rates | ||
| 669 | have evolved over the years, reflecting the impact of social change, | 680 | have evolved over the years, reflecting the impact of social change, | ||
| 670 | economic shifts, or national crises on mental health outcomes. | 681 | economic shifts, or national crises on mental health outcomes. | ||
| 671 | Combined with demographic and socioeconomic data, incidence and rate | 682 | Combined with demographic and socioeconomic data, incidence and rate | ||
| 672 | of suicide dataset can help uncover correlations between suicide | 683 | of suicide dataset can help uncover correlations between suicide | ||
| 673 | trends and factors such as unemployment, education, urbanization, and | 684 | trends and factors such as unemployment, education, urbanization, and | ||
| 674 | income inequality.", | 685 | income inequality.", | ||
| 675 | "data_last_updated": "30-09-2025", | 686 | "data_last_updated": "30-09-2025", | ||
| 676 | "data_retreival_date": "28-10-2025", | 687 | "data_retreival_date": "28-10-2025", | ||
| 677 | "datastore_active": true, | 688 | "datastore_active": true, | ||
| 678 | "description": "The Incidence and Rate of Suicides dataset, | 689 | "description": "The Incidence and Rate of Suicides dataset, | ||
| 679 | published by the National Crime Records Bureau (NCRB) as part of the | 690 | published by the National Crime Records Bureau (NCRB) as part of the | ||
| 680 | Accidental Deaths and Suicides in India (ADSI) series, provides | 691 | Accidental Deaths and Suicides in India (ADSI) series, provides | ||
| 681 | comprehensive national and state-level statistics on the total number | 692 | comprehensive national and state-level statistics on the total number | ||
| 682 | of suicides and their corresponding rates per lakh population across | 693 | of suicides and their corresponding rates per lakh population across | ||
| 683 | India. The Incidence and Rate of Suicides dataset records annual | 694 | India. The Incidence and Rate of Suicides dataset records annual | ||
| 684 | suicide counts (incidence) alongside the suicide rate, enabling | 695 | suicide counts (incidence) alongside the suicide rate, enabling | ||
| 685 | comparative analyses over time and across regions.", | 696 | comparative analyses over time and across regions.", | ||
| 686 | "district_no": "0", | 697 | "district_no": "0", | ||
| 687 | "format": "CSV", | 698 | "format": "CSV", | ||
| 688 | "frequency": "Yearly", | 699 | "frequency": "Yearly", | ||
| 689 | "gp_no": "0", | 700 | "gp_no": "0", | ||
| 690 | "granularity": "State", | 701 | "granularity": "State", | ||
| 691 | "hash": "", | 702 | "hash": "", | ||
| 692 | "id": "fd60d87e-c26d-4a57-87a1-b3fb72c2c78c", | 703 | "id": "fd60d87e-c26d-4a57-87a1-b3fb72c2c78c", | ||
| 693 | "idp_ready": true, | 704 | "idp_ready": true, | ||
| 694 | "indicators": [ | 705 | "indicators": [ | ||
| 695 | "Number of Suicides", | 706 | "Number of Suicides", | ||
| 696 | "Percentage Share in Total Suicides", | 707 | "Percentage Share in Total Suicides", | ||
| 697 | "Projected Mid Year Population" | 708 | "Projected Mid Year Population" | ||
| 698 | ], | 709 | ], | ||
| 699 | "last_modified": "2026-03-03T11:05:08.997066", | 710 | "last_modified": "2026-03-03T11:05:08.997066", | ||
| 700 | "lgd_mapping": "yes", | 711 | "lgd_mapping": "yes", | ||
| 701 | "mapping_status": 100, | 712 | "mapping_status": 100, | ||
| 702 | "metadata_modified": "2026-03-03T11:25:25.576442", | 713 | "metadata_modified": "2026-03-03T11:25:25.576442", | ||
| 703 | "methodology": "The National Crime Records Bureau (NCRB) | 714 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 704 | compiles profession-wise suicide statistics annually based on | 715 | compiles profession-wise suicide statistics annually based on | ||
| 705 | information gathered during police investigations, autopsy reports, | 716 | information gathered during police investigations, autopsy reports, | ||
| 706 | and inputs recorded by state crime records bureaus. When a suicide | 717 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 707 | case is registered, investigating officers classify the | 718 | case is registered, investigating officers classify the | ||
| 708 | deceased\u2019s occupation or livelihood at the time of death into | 719 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 709 | predefined categories such as farmers, daily wage earners, students, | 720 | predefined categories such as farmers, daily wage earners, students, | ||
| 710 | professionals, or unemployed individuals. These occupational details | 721 | professionals, or unemployed individuals. These occupational details | ||
| 711 | are typically reported by family members, witnesses, or through | 722 | are typically reported by family members, witnesses, or through | ||
| 712 | available identification records. State-level data are consolidated | 723 | available identification records. State-level data are consolidated | ||
| 713 | and published in the Accidental Deaths and Suicides in India (ADSI) | 724 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 714 | report, with suicide rates calculated using relevant occupational | 725 | report, with suicide rates calculated using relevant occupational | ||
| 715 | population estimates where available.", | 726 | population estimates where available.", | ||
| 716 | "mimetype": null, | 727 | "mimetype": null, | ||
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| 718 | "name": "Incidence and Rate of Suicides", | 729 | "name": "Incidence and Rate of Suicides", | ||
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| 733 | "years_covered": "2018 - 2022" | 744 | "years_covered": "2018 - 2022" | ||
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| 736 | "sector": [ | 747 | "sector": [ | ||
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| 739 | "source_name": "National Crime Records Bureau", | 750 | "source_name": "National Crime Records Bureau", | ||
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| 741 | "title": "Suicides in India", | 752 | "title": "Suicides in India", | ||
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