Changes
On March 3, 2026, 10:48:17 AM UTC,
-
Added resource Suicides by Marital Status to Suicides in India
| 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": "2026-03-03T10:46:51.340291", | n | 14 | "metadata_modified": "2026-03-03T10:48:17.653999", |
| 15 | "name": "suicides-in-india", | 15 | "name": "suicides-in-india", | ||
| 16 | "notes": "This package compiles a comprehensive set of datasets on | 16 | "notes": "This package compiles a comprehensive set of datasets on | ||
| 17 | suicides in India, offering an in-depth view of trends, patterns, and | 17 | suicides in India, offering an in-depth view of trends, patterns, and | ||
| 18 | contributing factors. It spans over a decade of suicide incidence | 18 | contributing factors. It spans over a decade of suicide incidence | ||
| 19 | rates, alongside detailed breakdowns by age, gender, marital status, | 19 | rates, alongside detailed breakdowns by age, gender, marital status, | ||
| 20 | education, economic status, profession, and regional distribution at | 20 | education, economic status, profession, and regional distribution at | ||
| 21 | the State, UT, and city levels. The datasets also classify suicides by | 21 | the State, UT, and city levels. The datasets also classify suicides by | ||
| 22 | causes\u2014ranging from health and family issues to financial and | 22 | causes\u2014ranging from health and family issues to financial and | ||
| 23 | social pressures\u2014as well as by methods adopted and instances of | 23 | social pressures\u2014as well as by methods adopted and instances of | ||
| 24 | family or mass suicides. By bringing together demographic, | 24 | family or mass suicides. By bringing together demographic, | ||
| 25 | socio-economic, and geographic perspectives, this package enables | 25 | socio-economic, and geographic perspectives, this package enables | ||
| 26 | researchers, policymakers, and public health experts to examine the | 26 | researchers, policymakers, and public health experts to examine the | ||
| 27 | root drivers of suicide, assess vulnerable groups, and track regional | 27 | root drivers of suicide, assess vulnerable groups, and track regional | ||
| 28 | variations. Its multi-dimensional scope makes it a critical resource | 28 | variations. Its multi-dimensional scope makes it a critical resource | ||
| 29 | for designing targeted prevention strategies, strengthening mental | 29 | for designing targeted prevention strategies, strengthening mental | ||
| 30 | health interventions, and informing evidence-based policy.", | 30 | health interventions, and informing evidence-based policy.", | ||
| n | 31 | "num_resources": 2, | n | 31 | "num_resources": 3, |
| 32 | "num_tags": 1, | 32 | "num_tags": 1, | ||
| 33 | "organization": { | 33 | "organization": { | ||
| 34 | "approval_status": "approved", | 34 | "approval_status": "approved", | ||
| 35 | "created": "2022-12-05T03:44:54.080358", | 35 | "created": "2022-12-05T03:44:54.080358", | ||
| 36 | "description": "", | 36 | "description": "", | ||
| 37 | "id": "94317457-d297-4549-9640-7865034682c5", | 37 | "id": "94317457-d297-4549-9640-7865034682c5", | ||
| 38 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | 38 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | ||
| 39 | "is_organization": true, | 39 | "is_organization": true, | ||
| 40 | "name": "idp-organization", | 40 | "name": "idp-organization", | ||
| 41 | "state": "active", | 41 | "state": "active", | ||
| 42 | "title": "IDP organization", | 42 | "title": "IDP organization", | ||
| 43 | "type": "organization" | 43 | "type": "organization" | ||
| 44 | }, | 44 | }, | ||
| 45 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | 45 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | ||
| 46 | "private": false, | 46 | "private": false, | ||
| 47 | "relationships_as_object": [], | 47 | "relationships_as_object": [], | ||
| 48 | "relationships_as_subject": [], | 48 | "relationships_as_subject": [], | ||
| 49 | "resources": [ | 49 | "resources": [ | ||
| 50 | { | 50 | { | ||
| 51 | "cache_last_updated": null, | 51 | "cache_last_updated": null, | ||
| 52 | "cache_url": null, | 52 | "cache_url": null, | ||
| 53 | "created": "2026-03-03T10:43:27.318640", | 53 | "created": "2026-03-03T10:43:27.318640", | ||
| 54 | "data_extraction_page": | 54 | "data_extraction_page": | ||
| 55 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 55 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 56 | "data_insights": "This dataset makes it possible to identify the | 56 | "data_insights": "This dataset makes it possible to identify the | ||
| 57 | leading social, economic, and health-related drivers of suicide in | 57 | leading social, economic, and health-related drivers of suicide in | ||
| 58 | India and how they vary across states, genders, and age groups. It can | 58 | India and how they vary across states, genders, and age groups. It can | ||
| 59 | highlight vulnerable populations most affected by factors such as | 59 | highlight vulnerable populations most affected by factors such as | ||
| 60 | illness, family disputes, or financial stress, and reveal shifting | 60 | illness, family disputes, or financial stress, and reveal shifting | ||
| 61 | patterns in causes over time. Such insights can inform mental health | 61 | patterns in causes over time. Such insights can inform mental health | ||
| 62 | programs, social welfare policies, and economic interventions targeted | 62 | programs, social welfare policies, and economic interventions targeted | ||
| 63 | at high-risk groups.", | 63 | at high-risk groups.", | ||
| 64 | "data_last_updated": "22-09-2025", | 64 | "data_last_updated": "22-09-2025", | ||
| 65 | "data_retreival_date": "22-09-2025", | 65 | "data_retreival_date": "22-09-2025", | ||
| 66 | "datastore_active": true, | 66 | "datastore_active": true, | ||
| 67 | "description": "The Suicide by Means Adopted dataset presents a | 67 | "description": "The Suicide by Means Adopted dataset presents a | ||
| 68 | detailed account of suicides in India, classified by their reported | 68 | detailed account of suicides in India, classified by their reported | ||
| 69 | causes such as by consuming different types of poison, running under | 69 | causes such as by consuming different types of poison, running under | ||
| 70 | vehicles, jumping off places, drowning in water, self inflicting | 70 | vehicles, jumping off places, drowning in water, self inflicting | ||
| 71 | injury, hanging and other different causes of suicide. By organizing | 71 | injury, hanging and other different causes of suicide. By organizing | ||
| 72 | suicide data around underlying reasons, it provides valuable insights | 72 | suicide data around underlying reasons, it provides valuable insights | ||
| 73 | into the social, economic, and health-related drivers that contribute | 73 | into the social, economic, and health-related drivers that contribute | ||
| 74 | to these tragic outcomes. Researchers, policymakers, and mental health | 74 | to these tragic outcomes. Researchers, policymakers, and mental health | ||
| 75 | professionals can use suicide by means adopted dataset to better | 75 | professionals can use suicide by means adopted dataset to better | ||
| 76 | understand patterns of vulnerability, identify at-risk groups, and | 76 | understand patterns of vulnerability, identify at-risk groups, and | ||
| 77 | design targeted interventions that address the root causes of | 77 | design targeted interventions that address the root causes of | ||
| 78 | suicide.", | 78 | suicide.", | ||
| 79 | "district_no": "0", | 79 | "district_no": "0", | ||
| 80 | "format": "CSV", | 80 | "format": "CSV", | ||
| 81 | "frequency": "Yearly", | 81 | "frequency": "Yearly", | ||
| 82 | "gp_no": "0", | 82 | "gp_no": "0", | ||
| 83 | "granularity": "State", | 83 | "granularity": "State", | ||
| 84 | "hash": "", | 84 | "hash": "", | ||
| 85 | "id": "29136c75-0aa3-4858-848a-37ef3a475df5", | 85 | "id": "29136c75-0aa3-4858-848a-37ef3a475df5", | ||
| 86 | "idp_ready": false, | 86 | "idp_ready": false, | ||
| 87 | "last_modified": "2026-03-03T10:43:27.278535", | 87 | "last_modified": "2026-03-03T10:43:27.278535", | ||
| 88 | "metadata_modified": "2026-03-03T10:43:37.302356", | 88 | "metadata_modified": "2026-03-03T10:43:37.302356", | ||
| 89 | "methodology": "The National Crime Records Bureau (NCRB) | 89 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 90 | compiles suicide data each year based on information from police | 90 | compiles suicide data each year based on information from police | ||
| 91 | investigations, autopsies, and reports submitted by state crime | 91 | investigations, autopsies, and reports submitted by state crime | ||
| 92 | records bureaus. Cases are grouped into categories such as illness, | 92 | records bureaus. Cases are grouped into categories such as illness, | ||
| 93 | family issues, or financial problems, usually drawing on details | 93 | family issues, or financial problems, usually drawing on details | ||
| 94 | provided by investigators or relatives. These state-level figures are | 94 | provided by investigators or relatives. These state-level figures are | ||
| 95 | then aggregated and published in the Accidental Deaths and Suicides in | 95 | then aggregated and published in the Accidental Deaths and Suicides in | ||
| 96 | India (ADSI) report, with suicide rates calculated using population | 96 | India (ADSI) report, with suicide rates calculated using population | ||
| 97 | estimates. While the system provides consistent nationwide coverage, | 97 | estimates. While the system provides consistent nationwide coverage, | ||
| 98 | the data is often limited by under-reporting, inconsistent definitions | 98 | the data is often limited by under-reporting, inconsistent definitions | ||
| 99 | of causes, and the influence of stigma, which can affect accuracy and | 99 | of causes, and the influence of stigma, which can affect accuracy and | ||
| 100 | comparability across states.", | 100 | comparability across states.", | ||
| 101 | "mimetype": "text/csv", | 101 | "mimetype": "text/csv", | ||
| 102 | "mimetype_inner": null, | 102 | "mimetype_inner": null, | ||
| 103 | "name": "Suicides by Means Adopted", | 103 | "name": "Suicides by Means Adopted", | ||
| 104 | "no_indicators": "1", | 104 | "no_indicators": "1", | ||
| 105 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | 105 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | ||
| 106 | "position": 0, | 106 | "position": 0, | ||
| 107 | "resource_type": null, | 107 | "resource_type": null, | ||
| 108 | "similar_datasets": [], | 108 | "similar_datasets": [], | ||
| 109 | "size": 623201, | 109 | "size": 623201, | ||
| 110 | "sku": "ncrb-adsi_suicides_by_means_adopted-st-yr-aaa", | 110 | "sku": "ncrb-adsi_suicides_by_means_adopted-st-yr-aaa", | ||
| 111 | "state": "active", | 111 | "state": "active", | ||
| 112 | "states_uts_no": "36", | 112 | "states_uts_no": "36", | ||
| 113 | "tags": [ | 113 | "tags": [ | ||
| 114 | "NCRB Suicide Data", | 114 | "NCRB Suicide Data", | ||
| 115 | "India Suicide Statistics", | 115 | "India Suicide Statistics", | ||
| 116 | "Suicide Trends and Causes", | 116 | "Suicide Trends and Causes", | ||
| 117 | "Suicide by Means/Method", | 117 | "Suicide by Means/Method", | ||
| 118 | "Demographic Patterns of Suicide", | 118 | "Demographic Patterns of Suicide", | ||
| 119 | "State and Regional Suicide Distribution", | 119 | "State and Regional Suicide Distribution", | ||
| 120 | "Socio-Economic Factors in Suicide" | 120 | "Socio-Economic Factors in Suicide" | ||
| 121 | ], | 121 | ], | ||
| 122 | "tehsil_no": "0", | 122 | "tehsil_no": "0", | ||
| 123 | "url": | 123 | "url": | ||
| 124 | 5-0aa3-4858-848a-37ef3a475df5/download/suicides-by-means-adopted.csv", | 124 | 5-0aa3-4858-848a-37ef3a475df5/download/suicides-by-means-adopted.csv", | ||
| 125 | "url_type": "upload", | 125 | "url_type": "upload", | ||
| 126 | "village_no": "0", | 126 | "village_no": "0", | ||
| 127 | "years_covered": "2018 - 2022" | 127 | "years_covered": "2018 - 2022" | ||
| 128 | }, | 128 | }, | ||
| 129 | { | 129 | { | ||
| 130 | "cache_last_updated": null, | 130 | "cache_last_updated": null, | ||
| 131 | "cache_url": null, | 131 | "cache_url": null, | ||
| 132 | "created": "2026-03-03T10:46:40.807667", | 132 | "created": "2026-03-03T10:46:40.807667", | ||
| 133 | "data_extraction_page": | 133 | "data_extraction_page": | ||
| 134 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 134 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 135 | "data_insights": "Analysis of profession-wise suicide data | 135 | "data_insights": "Analysis of profession-wise suicide data | ||
| 136 | highlights the strong link between livelihood, economic insecurity, | 136 | highlights the strong link between livelihood, economic insecurity, | ||
| 137 | and mental health outcomes. Farmers and agricultural laborers often | 137 | and mental health outcomes. Farmers and agricultural laborers often | ||
| 138 | exhibit higher suicide rates, reflecting vulnerabilities tied to crop | 138 | exhibit higher suicide rates, reflecting vulnerabilities tied to crop | ||
| 139 | failure, debt burdens, and rural distress. Daily wage earners and | 139 | failure, debt burdens, and rural distress. Daily wage earners and | ||
| 140 | self-employed individuals also show elevated risks, frequently linked | 140 | self-employed individuals also show elevated risks, frequently linked | ||
| 141 | to financial instability and precarious employment. Students | 141 | to financial instability and precarious employment. Students | ||
| 142 | constitute another significant group, with pressures related to | 142 | constitute another significant group, with pressures related to | ||
| 143 | academics and career prospects contributing to their vulnerability. At | 143 | academics and career prospects contributing to their vulnerability. At | ||
| 144 | the other end, professionals and salaried employees may face stressors | 144 | the other end, professionals and salaried employees may face stressors | ||
| 145 | related to workplace demands, unemployment, or job loss. By mapping | 145 | related to workplace demands, unemployment, or job loss. By mapping | ||
| 146 | suicide patterns across occupational categories, the dataset allows | 146 | suicide patterns across occupational categories, the dataset allows | ||
| 147 | researchers and policymakers to identify structural drivers of mental | 147 | researchers and policymakers to identify structural drivers of mental | ||
| 148 | health crises, design livelihood-support programs, and tailor mental | 148 | health crises, design livelihood-support programs, and tailor mental | ||
| 149 | health interventions to at-risk occupational groups.", | 149 | health interventions to at-risk occupational groups.", | ||
| 150 | "data_last_updated": "30-09-2025", | 150 | "data_last_updated": "30-09-2025", | ||
| 151 | "data_retreival_date": "30-09-2025", | 151 | "data_retreival_date": "30-09-2025", | ||
| 152 | "datastore_active": true, | 152 | "datastore_active": true, | ||
| 153 | "description": "The Suicide by Profession-Wise dataset presents | 153 | "description": "The Suicide by Profession-Wise dataset presents | ||
| 154 | a comprehensive account of suicides in India, classified according to | 154 | a comprehensive account of suicides in India, classified according to | ||
| 155 | the occupation or livelihood of the deceased at the time of death. | 155 | the occupation or livelihood of the deceased at the time of death. | ||
| 156 | Categories include farmers, agricultural laborers, daily wage earners, | 156 | Categories include farmers, agricultural laborers, daily wage earners, | ||
| 157 | students, professionals, self-employed individuals, and unemployed | 157 | students, professionals, self-employed individuals, and unemployed | ||
| 158 | persons, among others. By organizing suicide data around occupational | 158 | persons, among others. By organizing suicide data around occupational | ||
| 159 | backgrounds, the dataset provides valuable insights into the | 159 | backgrounds, the dataset provides valuable insights into the | ||
| 160 | socio-economic and livelihood-related pressures that contribute to | 160 | socio-economic and livelihood-related pressures that contribute to | ||
| 161 | suicidal behavior. Researchers, policymakers, and mental health | 161 | suicidal behavior. Researchers, policymakers, and mental health | ||
| 162 | professionals can use profession-wise suicide data to identify | 162 | professionals can use profession-wise suicide data to identify | ||
| 163 | vulnerable occupational groups, understand patterns of economic | 163 | vulnerable occupational groups, understand patterns of economic | ||
| 164 | distress and workplace-related stress, and design interventions that | 164 | distress and workplace-related stress, and design interventions that | ||
| 165 | target high-risk segments of the population.", | 165 | target high-risk segments of the population.", | ||
| 166 | "district_no": "0", | 166 | "district_no": "0", | ||
| 167 | "format": "CSV", | 167 | "format": "CSV", | ||
| 168 | "frequency": "Yearly", | 168 | "frequency": "Yearly", | ||
| 169 | "gp_no": "0", | 169 | "gp_no": "0", | ||
| 170 | "granularity": "State", | 170 | "granularity": "State", | ||
| 171 | "hash": "", | 171 | "hash": "", | ||
| 172 | "id": "33ec469e-06ff-4b03-95c0-ffe0e634518d", | 172 | "id": "33ec469e-06ff-4b03-95c0-ffe0e634518d", | ||
| 173 | "idp_ready": false, | 173 | "idp_ready": false, | ||
| 174 | "last_modified": "2026-03-03T10:46:40.781053", | 174 | "last_modified": "2026-03-03T10:46:40.781053", | ||
| 175 | "metadata_modified": "2026-03-03T10:46:51.099092", | 175 | "metadata_modified": "2026-03-03T10:46:51.099092", | ||
| 176 | "methodology": "The National Crime Records Bureau (NCRB) | 176 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 177 | compiles profession-wise suicide statistics annually based on | 177 | compiles profession-wise suicide statistics annually based on | ||
| 178 | information gathered during police investigations, autopsy reports, | 178 | information gathered during police investigations, autopsy reports, | ||
| 179 | and inputs recorded by state crime records bureaus. When a suicide | 179 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 180 | case is registered, investigating officers classify the | 180 | case is registered, investigating officers classify the | ||
| 181 | deceased\u2019s occupation or livelihood at the time of death into | 181 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 182 | predefined categories such as farmers, daily wage earners, students, | 182 | predefined categories such as farmers, daily wage earners, students, | ||
| 183 | professionals, or unemployed individuals. These occupational details | 183 | professionals, or unemployed individuals. These occupational details | ||
| 184 | are typically reported by family members, witnesses, or through | 184 | are typically reported by family members, witnesses, or through | ||
| 185 | available identification records. State-level data are consolidated | 185 | available identification records. State-level data are consolidated | ||
| 186 | and published in the Accidental Deaths and Suicides in India (ADSI) | 186 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 187 | report, with suicide rates calculated using relevant occupational | 187 | report, with suicide rates calculated using relevant occupational | ||
| 188 | population estimates where available.", | 188 | population estimates where available.", | ||
| 189 | "mimetype": "text/csv", | 189 | "mimetype": "text/csv", | ||
| 190 | "mimetype_inner": null, | 190 | "mimetype_inner": null, | ||
| 191 | "name": "Suicides by Profession Wise", | 191 | "name": "Suicides by Profession Wise", | ||
| 192 | "no_indicators": "1", | 192 | "no_indicators": "1", | ||
| 193 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | 193 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | ||
| 194 | "position": 1, | 194 | "position": 1, | ||
| 195 | "resource_type": null, | 195 | "resource_type": null, | ||
| 196 | "similar_datasets": [], | 196 | "similar_datasets": [], | ||
| 197 | "size": 1172927, | 197 | "size": 1172927, | ||
| 198 | "sku": "ncrb-adsi_suicides_by_profession_wise-st-yr-aaa", | 198 | "sku": "ncrb-adsi_suicides_by_profession_wise-st-yr-aaa", | ||
| 199 | "state": "active", | 199 | "state": "active", | ||
| 200 | "states_uts_no": "36", | 200 | "states_uts_no": "36", | ||
| 201 | "tags": [ | 201 | "tags": [ | ||
| 202 | "Suicides in India", | 202 | "Suicides in India", | ||
| 203 | "Profession-Wise Suicides", | 203 | "Profession-Wise Suicides", | ||
| 204 | "Occupational Stress", | 204 | "Occupational Stress", | ||
| 205 | "Farmers Suicide", | 205 | "Farmers Suicide", | ||
| 206 | "Student Suicide", | 206 | "Student Suicide", | ||
| 207 | "NCRB", | 207 | "NCRB", | ||
| 208 | "Mental Health Data", | 208 | "Mental Health Data", | ||
| 209 | "Socio-Economic Distress" | 209 | "Socio-Economic Distress" | ||
| 210 | ], | 210 | ], | ||
| 211 | "tehsil_no": "0", | 211 | "tehsil_no": "0", | ||
| 212 | "url": | 212 | "url": | ||
| 213 | 06ff-4b03-95c0-ffe0e634518d/download/suicides-by-profession-wise.csv", | 213 | 06ff-4b03-95c0-ffe0e634518d/download/suicides-by-profession-wise.csv", | ||
| 214 | "url_type": "upload", | 214 | "url_type": "upload", | ||
| 215 | "village_no": "0", | 215 | "village_no": "0", | ||
| 216 | "years_covered": "2018-2022" | 216 | "years_covered": "2018-2022" | ||
| t | t | 217 | }, | ||
| 218 | { | ||||
| 219 | "cache_last_updated": null, | ||||
| 220 | "cache_url": null, | ||||
| 221 | "created": "2026-03-03T10:48:17.662992", | ||||
| 222 | "data_extraction_page": | ||||
| 223 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||||
| 224 | "data_insights": "The Suicides by Marital Status dataset offers | ||||
| 225 | critical insights into the intersection of marital status, gender, and | ||||
| 226 | regional factors in suicide patterns across India. By examining annual | ||||
| 227 | trends in the number of suicides disaggregated by marital status | ||||
| 228 | categories such as Unmarried, Married, Divorcee, Separated, | ||||
| 229 | Widowed/Widower, and Status Not Known. The Suicides by Marital Status | ||||
| 230 | dataset enables researchers to assess how marital and social | ||||
| 231 | circumstances influence vulnerability to suicide. Analyses can uncover | ||||
| 232 | gender disparities within each marital group, such as higher suicide | ||||
| 233 | rates among married men or distinct vulnerabilities among widowed or | ||||
| 234 | divorced women. Temporal trends across years reveal whether suicide | ||||
| 235 | risks among certain marital categories are rising or falling, | ||||
| 236 | potentially reflecting changing social structures, economic pressures, | ||||
| 237 | or mental health awareness.", | ||||
| 238 | "data_last_updated": "30-09-2025", | ||||
| 239 | "data_retreival_date": "17-10-2025", | ||||
| 240 | "datastore_active": false, | ||||
| 241 | "description": "The Suicides by Marital Status dataset, | ||||
| 242 | published by the National Crime Records Bureau (NCRB) under the | ||||
| 243 | Accidental Deaths and Suicides in India (ADSI) reports, provides | ||||
| 244 | detailed statistics on suicide incidents across India classified by | ||||
| 245 | marital status, gender, state, and year. The dataset captures counts | ||||
| 246 | of suicide cases among individuals identified as Unmarried, Married, | ||||
| 247 | Divorcee, Separated, Widowed/Widower, or with Status Not Known, | ||||
| 248 | offering a comprehensive view of how social and familial structures | ||||
| 249 | intersect with mental health outcomes. Covering multiple years and all | ||||
| 250 | Indian states and union territories, suicides by marital status | ||||
| 251 | dataset serves as an essential resource for researchers, mental health | ||||
| 252 | professionals, and policymakers seeking to understand patterns of | ||||
| 253 | suicide in relation to social identity and marital conditions. It | ||||
| 254 | facilitates comparative and trend-based analyses to inform targeted | ||||
| 255 | suicide prevention, social welfare, and mental health support programs | ||||
| 256 | at both national and regional levels.", | ||||
| 257 | "district_no": "0", | ||||
| 258 | "format": "CSV", | ||||
| 259 | "frequency": "Yearly", | ||||
| 260 | "gp_no": "0", | ||||
| 261 | "granularity": "State", | ||||
| 262 | "hash": "", | ||||
| 263 | "id": "00c97b31-f859-40e2-9748-b1cf7ea0b0d2", | ||||
| 264 | "idp_ready": false, | ||||
| 265 | "last_modified": "2026-03-03T10:48:17.634732", | ||||
| 266 | "metadata_modified": "2026-03-03T10:48:17.658891", | ||||
| 267 | "methodology": "The National Crime Records Bureau (NCRB) | ||||
| 268 | compiles profession-wise suicide statistics annually based on | ||||
| 269 | information gathered during police investigations, autopsy reports, | ||||
| 270 | and inputs recorded by state crime records bureaus. When a suicide | ||||
| 271 | case is registered, investigating officers classify the | ||||
| 272 | deceased\u2019s occupation or livelihood at the time of death into | ||||
| 273 | predefined categories such as farmers, daily wage earners, students, | ||||
| 274 | professionals, or unemployed individuals. These occupational details | ||||
| 275 | are typically reported by family members, witnesses, or through | ||||
| 276 | available identification records. State-level data are consolidated | ||||
| 277 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||||
| 278 | report, with suicide rates calculated using relevant occupational | ||||
| 279 | population estimates where available.", | ||||
| 280 | "mimetype": "text/csv", | ||||
| 281 | "mimetype_inner": null, | ||||
| 282 | "name": "Suicides by Marital Status", | ||||
| 283 | "no_indicators": "1", | ||||
| 284 | "package_id": "91480cbe-d1c9-4e2a-8362-27b73dee55f9", | ||||
| 285 | "position": 2, | ||||
| 286 | "resource_type": null, | ||||
| 287 | "size": 220201, | ||||
| 288 | "sku": "ncrb-adsi_suicides_by_marital_status-st-yr-aaa", | ||||
| 289 | "state": "active", | ||||
| 290 | "states_uts_no": "36", | ||||
| 291 | "tehsil_no": "0", | ||||
| 292 | "url": | ||||
| 293 | -f859-40e2-9748-b1cf7ea0b0d2/download/suicides-by-marital-status.csv", | ||||
| 294 | "url_type": "upload", | ||||
| 295 | "village_no": "0", | ||||
| 296 | "years_covered": "2018 - 2022" | ||||
| 217 | } | 297 | } | ||
| 218 | ], | 298 | ], | ||
| 219 | "sector": [ | 299 | "sector": [ | ||
| 220 | "Crime" | 300 | "Crime" | ||
| 221 | ], | 301 | ], | ||
| 222 | "source_name": "National Crime Records Bureau", | 302 | "source_name": "National Crime Records Bureau", | ||
| 223 | "state": "active", | 303 | "state": "active", | ||
| 224 | "title": "Suicides in India", | 304 | "title": "Suicides in India", | ||
| 225 | "type": "dataset", | 305 | "type": "dataset", | ||
| 226 | "url": "https://www.ncrb.gov.in/", | 306 | "url": "https://www.ncrb.gov.in/", | ||
| 227 | "version": null | 307 | "version": null | ||
| 228 | } | 308 | } |