Changes
On February 12, 2026, 10:40:12 AM UTC,
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Added the following fields to resource Suicides by Marital Status in Suicides in India
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indicators with value
similar_resources with value
mapping_status with value
additional_info with value
lgd_mapping with value
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Removed the following fields from resource Suicides by Marital Status in Suicides in India
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tags
similar_datasets
village_no
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Changed value of field
idp_ready
toTrue
in resource Suicides by Marital Status in 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": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | 7 | "id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | ||
| 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": "2025-11-04T05:56:04.174047", | 13 | "metadata_created": "2025-11-04T05:56:04.174047", | ||
| n | 14 | "metadata_modified": "2026-02-12T10:37:29.241225", | n | 14 | "metadata_modified": "2026-02-12T10:40:12.197780", |
| 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": 2, | 27 | "num_tags": 2, | ||
| 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": "nan", | 46 | "additional_info": "nan", | ||
| 47 | "cache_last_updated": null, | 47 | "cache_last_updated": null, | ||
| 48 | "cache_url": null, | 48 | "cache_url": null, | ||
| 49 | "created": "2025-11-04T05:56:06.572160", | 49 | "created": "2025-11-04T05:56:06.572160", | ||
| 50 | "data_extraction_page": | 50 | "data_extraction_page": | ||
| 51 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 51 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 52 | "data_insights": "The Suicides by Causes dataset provides deep | 52 | "data_insights": "The Suicides by Causes dataset provides deep | ||
| 53 | insights into the complex and multifactorial nature of suicide in | 53 | insights into the complex and multifactorial nature of suicide in | ||
| 54 | India, enabling researchers to identify dominant social, economic, and | 54 | India, enabling researchers to identify dominant social, economic, and | ||
| 55 | personal factors contributing to suicidal behavior. By categorizing | 55 | personal factors contributing to suicidal behavior. By categorizing | ||
| 56 | cases into causes such as family problems, illness, bankruptcy, | 56 | cases into causes such as family problems, illness, bankruptcy, | ||
| 57 | unemployment, failure in examination, love affairs, drug or alcohol | 57 | unemployment, failure in examination, love affairs, drug or alcohol | ||
| 58 | abuse, and other socio-personal stressors, Suicides by Causes dataset | 58 | abuse, and other socio-personal stressors, Suicides by Causes dataset | ||
| 59 | allows analysts to trace how different pressures manifest across | 59 | allows analysts to trace how different pressures manifest across | ||
| 60 | demographic groups and regions.Cause-wise analysis reveals patterns of | 60 | demographic groups and regions.Cause-wise analysis reveals patterns of | ||
| 61 | vulnerability for example, whether economic distress and unemployment | 61 | vulnerability for example, whether economic distress and unemployment | ||
| 62 | contribute more to suicides among men, or if illness and | 62 | contribute more to suicides among men, or if illness and | ||
| 63 | family-related issues are more prevalent among women. Temporal trends | 63 | family-related issues are more prevalent among women. Temporal trends | ||
| 64 | help identify emerging or declining causes, such as the growing burden | 64 | help identify emerging or declining causes, such as the growing burden | ||
| 65 | of mental illness, substance dependency, or financial stress linked to | 65 | of mental illness, substance dependency, or financial stress linked to | ||
| 66 | economic shifts. Regional and gender disaggregation further highlights | 66 | economic shifts. Regional and gender disaggregation further highlights | ||
| 67 | disparities across states and social groups, pointing to localized | 67 | disparities across states and social groups, pointing to localized | ||
| 68 | socio-economic and cultural risk factors.", | 68 | socio-economic and cultural risk factors.", | ||
| 69 | "data_last_updated": "30-09-2025", | 69 | "data_last_updated": "30-09-2025", | ||
| 70 | "data_retreival_date": "27-10-2025", | 70 | "data_retreival_date": "27-10-2025", | ||
| 71 | "datastore_active": true, | 71 | "datastore_active": true, | ||
| 72 | "description": "The Suicides by Causes dataset, published by the | 72 | "description": "The Suicides by Causes dataset, published by the | ||
| 73 | National Crime Records Bureau (NCRB) under the Accidental Deaths and | 73 | National Crime Records Bureau (NCRB) under the Accidental Deaths and | ||
| 74 | Suicides in India (ADSI) reports, provides a comprehensive breakdown | 74 | Suicides in India (ADSI) reports, provides a comprehensive breakdown | ||
| 75 | of suicide cases across India categorized by the underlying causes of | 75 | of suicide cases across India categorized by the underlying causes of | ||
| 76 | death, along with details on gender, state, and year. The dataset | 76 | death, along with details on gender, state, and year. The dataset | ||
| 77 | classifies causes into a diverse range of social, economic, and | 77 | classifies causes into a diverse range of social, economic, and | ||
| 78 | personal factors such as family problems, illness, bankruptcy, | 78 | personal factors such as family problems, illness, bankruptcy, | ||
| 79 | unemployment, failure in examination, love affairs, drug abuse, and | 79 | unemployment, failure in examination, love affairs, drug abuse, and | ||
| 80 | other causes offering an in-depth view of the multifaceted drivers of | 80 | other causes offering an in-depth view of the multifaceted drivers of | ||
| 81 | suicide in Indian society.", | 81 | suicide in Indian society.", | ||
| 82 | "district_no": "0", | 82 | "district_no": "0", | ||
| 83 | "format": "CSV", | 83 | "format": "CSV", | ||
| 84 | "frequency": "Yearly", | 84 | "frequency": "Yearly", | ||
| 85 | "geo_columns": [ | 85 | "geo_columns": [ | ||
| 86 | "state_code" | 86 | "state_code" | ||
| 87 | ], | 87 | ], | ||
| 88 | "gp_no": "0", | 88 | "gp_no": "0", | ||
| 89 | "granularity": "State", | 89 | "granularity": "State", | ||
| 90 | "hash": "", | 90 | "hash": "", | ||
| 91 | "id": "60092b38-7433-4b1c-9338-9bd322b748d9", | 91 | "id": "60092b38-7433-4b1c-9338-9bd322b748d9", | ||
| 92 | "idp_ready": true, | 92 | "idp_ready": true, | ||
| 93 | "indicators": [], | 93 | "indicators": [], | ||
| 94 | "last_modified": "2025-11-04T05:56:06.535095", | 94 | "last_modified": "2025-11-04T05:56:06.535095", | ||
| 95 | "lgd_mapping": "yes", | 95 | "lgd_mapping": "yes", | ||
| 96 | "mapping_status": 100, | 96 | "mapping_status": 100, | ||
| 97 | "metadata_modified": "2025-12-19T08:06:27.192826", | 97 | "metadata_modified": "2025-12-19T08:06:27.192826", | ||
| 98 | "methodology": "The National Crime Records Bureau (NCRB) | 98 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 99 | compiles profession-wise suicide statistics annually based on | 99 | compiles profession-wise suicide statistics annually based on | ||
| 100 | information gathered during police investigations, autopsy reports, | 100 | information gathered during police investigations, autopsy reports, | ||
| 101 | and inputs recorded by state crime records bureaus. When a suicide | 101 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 102 | case is registered, investigating officers classify the | 102 | case is registered, investigating officers classify the | ||
| 103 | deceased\u2019s occupation or livelihood at the time of death into | 103 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 104 | predefined categories such as farmers, daily wage earners, students, | 104 | predefined categories such as farmers, daily wage earners, students, | ||
| 105 | professionals, or unemployed individuals. These occupational details | 105 | professionals, or unemployed individuals. These occupational details | ||
| 106 | are typically reported by family members, witnesses, or through | 106 | are typically reported by family members, witnesses, or through | ||
| 107 | available identification records. State-level data are consolidated | 107 | available identification records. State-level data are consolidated | ||
| 108 | and published in the Accidental Deaths and Suicides in India (ADSI) | 108 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 109 | report, with suicide rates calculated using relevant occupational | 109 | report, with suicide rates calculated using relevant occupational | ||
| 110 | population estimates where available.", | 110 | population estimates where available.", | ||
| 111 | "mimetype": null, | 111 | "mimetype": null, | ||
| 112 | "mimetype_inner": null, | 112 | "mimetype_inner": null, | ||
| 113 | "name": "Suicides by Causes", | 113 | "name": "Suicides by Causes", | ||
| 114 | "no_indicators": "1", | 114 | "no_indicators": "1", | ||
| 115 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | 115 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | ||
| 116 | "position": 0, | 116 | "position": 0, | ||
| 117 | "resource_type": null, | 117 | "resource_type": null, | ||
| 118 | "similar_resources": "", | 118 | "similar_resources": "", | ||
| 119 | "size": 1223617, | 119 | "size": 1223617, | ||
| 120 | "sku": "ncrb-adsi_suicides_by_cause_wise-st-yr-aaa", | 120 | "sku": "ncrb-adsi_suicides_by_cause_wise-st-yr-aaa", | ||
| 121 | "state": "active", | 121 | "state": "active", | ||
| 122 | "states_uts_no": "36", | 122 | "states_uts_no": "36", | ||
| 123 | "tehsil_no": "0", | 123 | "tehsil_no": "0", | ||
| 124 | "url": | 124 | "url": | ||
| 125 | 60092b38-7433-4b1c-9338-9bd322b748d9/download/suicides-by-causes.csv", | 125 | 60092b38-7433-4b1c-9338-9bd322b748d9/download/suicides-by-causes.csv", | ||
| 126 | "url_type": "upload", | 126 | "url_type": "upload", | ||
| 127 | "years_covered": "2018 - 2022" | 127 | "years_covered": "2018 - 2022" | ||
| 128 | }, | 128 | }, | ||
| 129 | { | 129 | { | ||
| 130 | "additional_info": "nan", | 130 | "additional_info": "nan", | ||
| 131 | "cache_last_updated": null, | 131 | "cache_last_updated": null, | ||
| 132 | "cache_url": null, | 132 | "cache_url": null, | ||
| 133 | "created": "2026-02-12T05:10:43.231678", | 133 | "created": "2026-02-12T05:10:43.231678", | ||
| 134 | "data_extraction_page": | 134 | "data_extraction_page": | ||
| 135 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 135 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 136 | "data_insights": "This dataset makes it possible to identify the | 136 | "data_insights": "This dataset makes it possible to identify the | ||
| 137 | leading social, economic, and health-related drivers of suicide in | 137 | leading social, economic, and health-related drivers of suicide in | ||
| 138 | India and how they vary across states, genders, and age groups. It can | 138 | India and how they vary across states, genders, and age groups. It can | ||
| 139 | highlight vulnerable populations most affected by factors such as | 139 | highlight vulnerable populations most affected by factors such as | ||
| 140 | illness, family disputes, or financial stress, and reveal shifting | 140 | illness, family disputes, or financial stress, and reveal shifting | ||
| 141 | patterns in causes over time. Such insights can inform mental health | 141 | patterns in causes over time. Such insights can inform mental health | ||
| 142 | programs, social welfare policies, and economic interventions targeted | 142 | programs, social welfare policies, and economic interventions targeted | ||
| 143 | at high-risk groups.", | 143 | at high-risk groups.", | ||
| 144 | "data_last_updated": "22-09-2025", | 144 | "data_last_updated": "22-09-2025", | ||
| 145 | "data_retreival_date": "22-09-2025", | 145 | "data_retreival_date": "22-09-2025", | ||
| 146 | "datastore_active": true, | 146 | "datastore_active": true, | ||
| 147 | "description": "The Suicide by Means Adopted dataset presents a | 147 | "description": "The Suicide by Means Adopted dataset presents a | ||
| 148 | detailed account of suicides in India, classified by their reported | 148 | detailed account of suicides in India, classified by their reported | ||
| 149 | causes such as by consuming different types of poison, running under | 149 | causes such as by consuming different types of poison, running under | ||
| 150 | vehicles, jumping off places, drowning in water, self inflicting | 150 | vehicles, jumping off places, drowning in water, self inflicting | ||
| 151 | injury, hanging and other different causes of suicide. By organizing | 151 | injury, hanging and other different causes of suicide. By organizing | ||
| 152 | suicide data around underlying reasons, it provides valuable insights | 152 | suicide data around underlying reasons, it provides valuable insights | ||
| 153 | into the social, economic, and health-related drivers that contribute | 153 | into the social, economic, and health-related drivers that contribute | ||
| 154 | to these tragic outcomes. Researchers, policymakers, and mental health | 154 | to these tragic outcomes. Researchers, policymakers, and mental health | ||
| 155 | professionals can use suicide by means adopted dataset to better | 155 | professionals can use suicide by means adopted dataset to better | ||
| 156 | understand patterns of vulnerability, identify at-risk groups, and | 156 | understand patterns of vulnerability, identify at-risk groups, and | ||
| 157 | design targeted interventions that address the root causes of | 157 | design targeted interventions that address the root causes of | ||
| 158 | suicide.", | 158 | suicide.", | ||
| 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": "04823ac8-1843-45ed-83f3-52fcf8083f6a", | 165 | "id": "04823ac8-1843-45ed-83f3-52fcf8083f6a", | ||
| 166 | "idp_ready": true, | 166 | "idp_ready": true, | ||
| 167 | "indicators": [], | 167 | "indicators": [], | ||
| 168 | "last_modified": "2026-02-12T05:10:43.193063", | 168 | "last_modified": "2026-02-12T05:10:43.193063", | ||
| 169 | "lgd_mapping": "yes", | 169 | "lgd_mapping": "yes", | ||
| 170 | "mapping_status": 100, | 170 | "mapping_status": 100, | ||
| 171 | "metadata_modified": "2026-02-12T10:31:04.257786", | 171 | "metadata_modified": "2026-02-12T10:31:04.257786", | ||
| 172 | "methodology": "The National Crime Records Bureau (NCRB) | 172 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 173 | compiles suicide data each year based on information from police | 173 | compiles suicide data each year based on information from police | ||
| 174 | investigations, autopsies, and reports submitted by state crime | 174 | investigations, autopsies, and reports submitted by state crime | ||
| 175 | records bureaus. Cases are grouped into categories such as illness, | 175 | records bureaus. Cases are grouped into categories such as illness, | ||
| 176 | family issues, or financial problems, usually drawing on details | 176 | family issues, or financial problems, usually drawing on details | ||
| 177 | provided by investigators or relatives. These state-level figures are | 177 | provided by investigators or relatives. These state-level figures are | ||
| 178 | then aggregated and published in the Accidental Deaths and Suicides in | 178 | then aggregated and published in the Accidental Deaths and Suicides in | ||
| 179 | India (ADSI) report, with suicide rates calculated using population | 179 | India (ADSI) report, with suicide rates calculated using population | ||
| 180 | estimates. While the system provides consistent nationwide coverage, | 180 | estimates. While the system provides consistent nationwide coverage, | ||
| 181 | the data is often limited by under-reporting, inconsistent definitions | 181 | the data is often limited by under-reporting, inconsistent definitions | ||
| 182 | of causes, and the influence of stigma, which can affect accuracy and | 182 | of causes, and the influence of stigma, which can affect accuracy and | ||
| 183 | comparability across states.", | 183 | comparability across states.", | ||
| 184 | "mimetype": null, | 184 | "mimetype": null, | ||
| 185 | "mimetype_inner": null, | 185 | "mimetype_inner": null, | ||
| 186 | "name": "Suicides by Means Adopted", | 186 | "name": "Suicides by Means Adopted", | ||
| 187 | "no_indicators": "1", | 187 | "no_indicators": "1", | ||
| 188 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | 188 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | ||
| 189 | "position": 1, | 189 | "position": 1, | ||
| 190 | "resource_type": null, | 190 | "resource_type": null, | ||
| 191 | "similar_resources": | 191 | "similar_resources": | ||
| 192 | bdf-fcb4-44b0-8cfb-96e9f2f6da1c,1ece5b23-94b4-4a80-9f11-d2f6e001f916", | 192 | bdf-fcb4-44b0-8cfb-96e9f2f6da1c,1ece5b23-94b4-4a80-9f11-d2f6e001f916", | ||
| 193 | "size": 623201, | 193 | "size": 623201, | ||
| 194 | "sku": "ncrb-adsi_suicides_by_means_adopted-st-yr-aaa", | 194 | "sku": "ncrb-adsi_suicides_by_means_adopted-st-yr-aaa", | ||
| 195 | "state": "active", | 195 | "state": "active", | ||
| 196 | "states_uts_no": "36", | 196 | "states_uts_no": "36", | ||
| 197 | "tehsil_no": "0", | 197 | "tehsil_no": "0", | ||
| 198 | "url": | 198 | "url": | ||
| 199 | 8-1843-45ed-83f3-52fcf8083f6a/download/suicides-by-means-adopted.csv", | 199 | 8-1843-45ed-83f3-52fcf8083f6a/download/suicides-by-means-adopted.csv", | ||
| 200 | "url_type": "upload", | 200 | "url_type": "upload", | ||
| 201 | "years_covered": "2018 - 2022" | 201 | "years_covered": "2018 - 2022" | ||
| 202 | }, | 202 | }, | ||
| 203 | { | 203 | { | ||
| 204 | "additional_info": "", | 204 | "additional_info": "", | ||
| 205 | "cache_last_updated": null, | 205 | "cache_last_updated": null, | ||
| 206 | "cache_url": null, | 206 | "cache_url": null, | ||
| 207 | "created": "2026-02-12T06:44:55.328128", | 207 | "created": "2026-02-12T06:44:55.328128", | ||
| 208 | "data_extraction_page": | 208 | "data_extraction_page": | ||
| 209 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 209 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 210 | "data_insights": "Analysis of profession-wise suicide data | 210 | "data_insights": "Analysis of profession-wise suicide data | ||
| 211 | highlights the strong link between livelihood, economic insecurity, | 211 | highlights the strong link between livelihood, economic insecurity, | ||
| 212 | and mental health outcomes. Farmers and agricultural laborers often | 212 | and mental health outcomes. Farmers and agricultural laborers often | ||
| 213 | exhibit higher suicide rates, reflecting vulnerabilities tied to crop | 213 | exhibit higher suicide rates, reflecting vulnerabilities tied to crop | ||
| 214 | failure, debt burdens, and rural distress. Daily wage earners and | 214 | failure, debt burdens, and rural distress. Daily wage earners and | ||
| 215 | self-employed individuals also show elevated risks, frequently linked | 215 | self-employed individuals also show elevated risks, frequently linked | ||
| 216 | to financial instability and precarious employment. Students | 216 | to financial instability and precarious employment. Students | ||
| 217 | constitute another significant group, with pressures related to | 217 | constitute another significant group, with pressures related to | ||
| 218 | academics and career prospects contributing to their vulnerability. At | 218 | academics and career prospects contributing to their vulnerability. At | ||
| 219 | the other end, professionals and salaried employees may face stressors | 219 | the other end, professionals and salaried employees may face stressors | ||
| 220 | related to workplace demands, unemployment, or job loss. By mapping | 220 | related to workplace demands, unemployment, or job loss. By mapping | ||
| 221 | suicide patterns across occupational categories, the dataset allows | 221 | suicide patterns across occupational categories, the dataset allows | ||
| 222 | researchers and policymakers to identify structural drivers of mental | 222 | researchers and policymakers to identify structural drivers of mental | ||
| 223 | health crises, design livelihood-support programs, and tailor mental | 223 | health crises, design livelihood-support programs, and tailor mental | ||
| 224 | health interventions to at-risk occupational groups.", | 224 | health interventions to at-risk occupational groups.", | ||
| 225 | "data_last_updated": "30-09-2025", | 225 | "data_last_updated": "30-09-2025", | ||
| 226 | "data_retreival_date": "30-09-2025", | 226 | "data_retreival_date": "30-09-2025", | ||
| 227 | "datastore_active": true, | 227 | "datastore_active": true, | ||
| 228 | "description": "The Suicide by Profession-Wise dataset presents | 228 | "description": "The Suicide by Profession-Wise dataset presents | ||
| 229 | a comprehensive account of suicides in India, classified according to | 229 | a comprehensive account of suicides in India, classified according to | ||
| 230 | the occupation or livelihood of the deceased at the time of death. | 230 | the occupation or livelihood of the deceased at the time of death. | ||
| 231 | Categories include farmers, agricultural laborers, daily wage earners, | 231 | Categories include farmers, agricultural laborers, daily wage earners, | ||
| 232 | students, professionals, self-employed individuals, and unemployed | 232 | students, professionals, self-employed individuals, and unemployed | ||
| 233 | persons, among others. By organizing suicide data around occupational | 233 | persons, among others. By organizing suicide data around occupational | ||
| 234 | backgrounds, the dataset provides valuable insights into the | 234 | backgrounds, the dataset provides valuable insights into the | ||
| 235 | socio-economic and livelihood-related pressures that contribute to | 235 | socio-economic and livelihood-related pressures that contribute to | ||
| 236 | suicidal behavior. Researchers, policymakers, and mental health | 236 | suicidal behavior. Researchers, policymakers, and mental health | ||
| 237 | professionals can use profession-wise suicide data to identify | 237 | professionals can use profession-wise suicide data to identify | ||
| 238 | vulnerable occupational groups, understand patterns of economic | 238 | vulnerable occupational groups, understand patterns of economic | ||
| 239 | distress and workplace-related stress, and design interventions that | 239 | distress and workplace-related stress, and design interventions that | ||
| 240 | target high-risk segments of the population.", | 240 | target high-risk segments of the population.", | ||
| 241 | "district_no": "0", | 241 | "district_no": "0", | ||
| 242 | "format": "CSV", | 242 | "format": "CSV", | ||
| 243 | "frequency": "Yearly", | 243 | "frequency": "Yearly", | ||
| 244 | "gp_no": "0", | 244 | "gp_no": "0", | ||
| 245 | "granularity": "State", | 245 | "granularity": "State", | ||
| 246 | "hash": "", | 246 | "hash": "", | ||
| 247 | "id": "18e22208-1a37-4263-a51c-cacefb535bb3", | 247 | "id": "18e22208-1a37-4263-a51c-cacefb535bb3", | ||
| 248 | "idp_ready": true, | 248 | "idp_ready": true, | ||
| 249 | "indicators": [], | 249 | "indicators": [], | ||
| 250 | "last_modified": "2026-02-12T06:44:55.285254", | 250 | "last_modified": "2026-02-12T06:44:55.285254", | ||
| 251 | "lgd_mapping": "yes", | 251 | "lgd_mapping": "yes", | ||
| 252 | "mapping_status": 100, | 252 | "mapping_status": 100, | ||
| 253 | "metadata_modified": "2026-02-12T07:28:25.636903", | 253 | "metadata_modified": "2026-02-12T07:28:25.636903", | ||
| 254 | "methodology": "The National Crime Records Bureau (NCRB) | 254 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 255 | compiles profession-wise suicide statistics annually based on | 255 | compiles profession-wise suicide statistics annually based on | ||
| 256 | information gathered during police investigations, autopsy reports, | 256 | information gathered during police investigations, autopsy reports, | ||
| 257 | and inputs recorded by state crime records bureaus. When a suicide | 257 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 258 | case is registered, investigating officers classify the | 258 | case is registered, investigating officers classify the | ||
| 259 | deceased\u2019s occupation or livelihood at the time of death into | 259 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 260 | predefined categories such as farmers, daily wage earners, students, | 260 | predefined categories such as farmers, daily wage earners, students, | ||
| 261 | professionals, or unemployed individuals. These occupational details | 261 | professionals, or unemployed individuals. These occupational details | ||
| 262 | are typically reported by family members, witnesses, or through | 262 | are typically reported by family members, witnesses, or through | ||
| 263 | available identification records. State-level data are consolidated | 263 | available identification records. State-level data are consolidated | ||
| 264 | and published in the Accidental Deaths and Suicides in India (ADSI) | 264 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 265 | report, with suicide rates calculated using relevant occupational | 265 | report, with suicide rates calculated using relevant occupational | ||
| 266 | population estimates where available.", | 266 | population estimates where available.", | ||
| 267 | "mimetype": null, | 267 | "mimetype": null, | ||
| 268 | "mimetype_inner": null, | 268 | "mimetype_inner": null, | ||
| 269 | "name": "Suicides by Profession Wise", | 269 | "name": "Suicides by Profession Wise", | ||
| 270 | "no_indicators": "1", | 270 | "no_indicators": "1", | ||
| 271 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | 271 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | ||
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| 277 | "sku": "ncrb-adsi_suicides_by_profession_wise-st-yr-aaa", | 277 | "sku": "ncrb-adsi_suicides_by_profession_wise-st-yr-aaa", | ||
| 278 | "state": "active", | 278 | "state": "active", | ||
| 279 | "states_uts_no": "36", | 279 | "states_uts_no": "36", | ||
| 280 | "tehsil_no": "0", | 280 | "tehsil_no": "0", | ||
| 281 | "url": | 281 | "url": | ||
| 282 | 1a37-4263-a51c-cacefb535bb3/download/suicides-by-profession-wise.csv", | 282 | 1a37-4263-a51c-cacefb535bb3/download/suicides-by-profession-wise.csv", | ||
| 283 | "url_type": "upload", | 283 | "url_type": "upload", | ||
| 284 | "years_covered": "2018-2022" | 284 | "years_covered": "2018-2022" | ||
| 285 | }, | 285 | }, | ||
| 286 | { | 286 | { | ||
| 287 | "additional_info": "", | 287 | "additional_info": "", | ||
| 288 | "cache_last_updated": null, | 288 | "cache_last_updated": null, | ||
| 289 | "cache_url": null, | 289 | "cache_url": null, | ||
| 290 | "created": "2026-02-12T07:34:20.501235", | 290 | "created": "2026-02-12T07:34:20.501235", | ||
| 291 | "data_extraction_page": | 291 | "data_extraction_page": | ||
| 292 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 292 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 293 | "data_insights": "The Suicides by Economic Status dataset | 293 | "data_insights": "The Suicides by Economic Status dataset | ||
| 294 | provides key insights into how financial standing and economic | 294 | provides key insights into how financial standing and economic | ||
| 295 | pressures shape suicide patterns across India. Analysis of suicides by | 295 | pressures shape suicide patterns across India. Analysis of suicides by | ||
| 296 | income category allows researchers to evaluate whether lower-income | 296 | income category allows researchers to evaluate whether lower-income | ||
| 297 | groups are disproportionately affected by financial stress and | 297 | groups are disproportionately affected by financial stress and | ||
| 298 | livelihood insecurity, or whether higher-income segments experience | 298 | livelihood insecurity, or whether higher-income segments experience | ||
| 299 | distinct forms of social or psychological stress. Disaggregation by | 299 | distinct forms of social or psychological stress. Disaggregation by | ||
| 300 | gender and region reveals how financial vulnerability intersects with | 300 | gender and region reveals how financial vulnerability intersects with | ||
| 301 | social roles and access to economic opportunities \u2014 for example, | 301 | social roles and access to economic opportunities \u2014 for example, | ||
| 302 | whether men in lower-income brackets are more prone to economic | 302 | whether men in lower-income brackets are more prone to economic | ||
| 303 | distress suicides or if women\u2019s suicide patterns vary by | 303 | distress suicides or if women\u2019s suicide patterns vary by | ||
| 304 | household income levels.Temporal analysis of the data helps identify | 304 | household income levels.Temporal analysis of the data helps identify | ||
| 305 | trends over time, such as rising suicides among certain income groups | 305 | trends over time, such as rising suicides among certain income groups | ||
| 306 | during economic downturns, agricultural distress, or periods of | 306 | during economic downturns, agricultural distress, or periods of | ||
| 307 | unemployment. State-wise comparisons uncover geographic disparities in | 307 | unemployment. State-wise comparisons uncover geographic disparities in | ||
| 308 | the economic determinants of suicide, guiding targeted welfare and | 308 | the economic determinants of suicide, guiding targeted welfare and | ||
| 309 | mental health interventions. Overall, the dataset supports | 309 | mental health interventions. Overall, the dataset supports | ||
| 310 | evidence-based policymaking in areas such as poverty alleviation, | 310 | evidence-based policymaking in areas such as poverty alleviation, | ||
| 311 | employment generation, mental health services, and social protection, | 311 | employment generation, mental health services, and social protection, | ||
| 312 | highlighting the need to address the intersection of economic hardship | 312 | highlighting the need to address the intersection of economic hardship | ||
| 313 | and psychological well-being in suicide prevention strategies.", | 313 | and psychological well-being in suicide prevention strategies.", | ||
| 314 | "data_last_updated": "30-09-2025", | 314 | "data_last_updated": "30-09-2025", | ||
| 315 | "data_retreival_date": "17-10-2025", | 315 | "data_retreival_date": "17-10-2025", | ||
| 316 | "datastore_active": true, | 316 | "datastore_active": true, | ||
| 317 | "description": "The Suicides by Economic Status dataset, | 317 | "description": "The Suicides by Economic Status dataset, | ||
| 318 | compiled by the National Crime Records Bureau (NCRB) under the | 318 | compiled by the National Crime Records Bureau (NCRB) under the | ||
| 319 | Accidental Deaths and Suicides in India (ADSI) reports, presents | 319 | Accidental Deaths and Suicides in India (ADSI) reports, presents | ||
| 320 | comprehensive data on suicide cases across India categorized by | 320 | comprehensive data on suicide cases across India categorized by | ||
| 321 | individuals\u2019 economic status, gender, and state over multiple | 321 | individuals\u2019 economic status, gender, and state over multiple | ||
| 322 | years. The dataset classifies economic conditions into four income | 322 | years. The dataset classifies economic conditions into four income | ||
| 323 | brackets follows Less Than \u20b91 Lakh, \u20b91 Lakh & Above - Less | 323 | brackets follows Less Than \u20b91 Lakh, \u20b91 Lakh & Above - Less | ||
| 324 | Than \u20b95 Lakhs, \u20b95 Lakhs & Above - Less Than \u20b910 Lakhs, | 324 | Than \u20b95 Lakhs, \u20b95 Lakhs & Above - Less Than \u20b910 Lakhs, | ||
| 325 | and \u20b910 Lakhs And Above, providing a valuable perspective on how | 325 | and \u20b910 Lakhs And Above, providing a valuable perspective on how | ||
| 326 | economic well-being correlates with suicide incidence. By capturing | 326 | economic well-being correlates with suicide incidence. By capturing | ||
| 327 | these socioeconomic dimensions alongside demographic and regional | 327 | these socioeconomic dimensions alongside demographic and regional | ||
| 328 | indicators, Suicides by Economic Status dataset serves as a critical | 328 | indicators, Suicides by Economic Status dataset serves as a critical | ||
| 329 | resource for researchers, economists, and policymakers aiming to | 329 | resource for researchers, economists, and policymakers aiming to | ||
| 330 | understand the relationship between financial stress, livelihood | 330 | understand the relationship between financial stress, livelihood | ||
| 331 | insecurity, and mental health outcomes in India. It enables both | 331 | insecurity, and mental health outcomes in India. It enables both | ||
| 332 | longitudinal and cross-sectional analyses to support targeted social | 332 | longitudinal and cross-sectional analyses to support targeted social | ||
| 333 | and economic interventions.", | 333 | and economic interventions.", | ||
| 334 | "district_no": "0", | 334 | "district_no": "0", | ||
| 335 | "format": "CSV", | 335 | "format": "CSV", | ||
| 336 | "frequency": "Yearly", | 336 | "frequency": "Yearly", | ||
| 337 | "gp_no": "0", | 337 | "gp_no": "0", | ||
| 338 | "granularity": "State", | 338 | "granularity": "State", | ||
| 339 | "hash": "", | 339 | "hash": "", | ||
| 340 | "id": "0f125f64-a2b8-466e-845a-2a03a7e073de", | 340 | "id": "0f125f64-a2b8-466e-845a-2a03a7e073de", | ||
| 341 | "idp_ready": true, | 341 | "idp_ready": true, | ||
| 342 | "indicators": [ | 342 | "indicators": [ | ||
| 343 | "Number of Deaths" | 343 | "Number of Deaths" | ||
| 344 | ], | 344 | ], | ||
| 345 | "last_modified": "2026-02-12T07:34:20.459297", | 345 | "last_modified": "2026-02-12T07:34:20.459297", | ||
| 346 | "lgd_mapping": "yes", | 346 | "lgd_mapping": "yes", | ||
| 347 | "mapping_status": 100, | 347 | "mapping_status": 100, | ||
| 348 | "metadata_modified": "2026-02-12T10:37:29.247027", | 348 | "metadata_modified": "2026-02-12T10:37:29.247027", | ||
| 349 | "methodology": "The National Crime Records Bureau (NCRB) | 349 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 350 | compiles profession-wise suicide statistics annually based on | 350 | compiles profession-wise suicide statistics annually based on | ||
| 351 | information gathered during police investigations, autopsy reports, | 351 | information gathered during police investigations, autopsy reports, | ||
| 352 | and inputs recorded by state crime records bureaus. When a suicide | 352 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 353 | case is registered, investigating officers classify the | 353 | case is registered, investigating officers classify the | ||
| 354 | deceased\u2019s occupation or livelihood at the time of death into | 354 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 355 | predefined categories such as farmers, daily wage earners, students, | 355 | predefined categories such as farmers, daily wage earners, students, | ||
| 356 | professionals, or unemployed individuals. These occupational details | 356 | professionals, or unemployed individuals. These occupational details | ||
| 357 | are typically reported by family members, witnesses, or through | 357 | are typically reported by family members, witnesses, or through | ||
| 358 | available identification records. State-level data are consolidated | 358 | available identification records. State-level data are consolidated | ||
| 359 | and published in the Accidental Deaths and Suicides in India (ADSI) | 359 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 360 | report, with suicide rates calculated using relevant occupational | 360 | report, with suicide rates calculated using relevant occupational | ||
| 361 | population estimates where available.", | 361 | population estimates where available.", | ||
| 362 | "mimetype": null, | 362 | "mimetype": null, | ||
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| 364 | "name": "Suicides by Economic Status", | 364 | "name": "Suicides by Economic Status", | ||
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| 373 | "state": "active", | 373 | "state": "active", | ||
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| 375 | "tehsil_no": "0", | 375 | "tehsil_no": "0", | ||
| 376 | "url": | 376 | "url": | ||
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| 378 | "url_type": "upload", | 378 | "url_type": "upload", | ||
| 379 | "years_covered": "2018 - 2022" | 379 | "years_covered": "2018 - 2022" | ||
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| 381 | { | 381 | { | ||
| n | n | 382 | "additional_info": "", | ||
| 382 | "cache_last_updated": null, | 383 | "cache_last_updated": null, | ||
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| 384 | "created": "2026-02-12T07:35:43.560139", | 385 | "created": "2026-02-12T07:35:43.560139", | ||
| 385 | "data_extraction_page": | 386 | "data_extraction_page": | ||
| 386 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 387 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 387 | "data_insights": "The Suicides by Marital Status dataset offers | 388 | "data_insights": "The Suicides by Marital Status dataset offers | ||
| 388 | critical insights into the intersection of marital status, gender, and | 389 | critical insights into the intersection of marital status, gender, and | ||
| 389 | regional factors in suicide patterns across India. By examining annual | 390 | regional factors in suicide patterns across India. By examining annual | ||
| 390 | trends in the number of suicides disaggregated by marital status | 391 | trends in the number of suicides disaggregated by marital status | ||
| 391 | categories such as Unmarried, Married, Divorcee, Separated, | 392 | categories such as Unmarried, Married, Divorcee, Separated, | ||
| 392 | Widowed/Widower, and Status Not Known. The Suicides by Marital Status | 393 | Widowed/Widower, and Status Not Known. The Suicides by Marital Status | ||
| 393 | dataset enables researchers to assess how marital and social | 394 | dataset enables researchers to assess how marital and social | ||
| 394 | circumstances influence vulnerability to suicide. Analyses can uncover | 395 | circumstances influence vulnerability to suicide. Analyses can uncover | ||
| 395 | gender disparities within each marital group, such as higher suicide | 396 | gender disparities within each marital group, such as higher suicide | ||
| 396 | rates among married men or distinct vulnerabilities among widowed or | 397 | rates among married men or distinct vulnerabilities among widowed or | ||
| 397 | divorced women. Temporal trends across years reveal whether suicide | 398 | divorced women. Temporal trends across years reveal whether suicide | ||
| 398 | risks among certain marital categories are rising or falling, | 399 | risks among certain marital categories are rising or falling, | ||
| 399 | potentially reflecting changing social structures, economic pressures, | 400 | potentially reflecting changing social structures, economic pressures, | ||
| 400 | or mental health awareness.", | 401 | or mental health awareness.", | ||
| 401 | "data_last_updated": "30-09-2025", | 402 | "data_last_updated": "30-09-2025", | ||
| 402 | "data_retreival_date": "17-10-2025", | 403 | "data_retreival_date": "17-10-2025", | ||
| 403 | "datastore_active": true, | 404 | "datastore_active": true, | ||
| 404 | "description": "The Suicides by Marital Status dataset, | 405 | "description": "The Suicides by Marital Status dataset, | ||
| 405 | published by the National Crime Records Bureau (NCRB) under the | 406 | published by the National Crime Records Bureau (NCRB) under the | ||
| 406 | Accidental Deaths and Suicides in India (ADSI) reports, provides | 407 | Accidental Deaths and Suicides in India (ADSI) reports, provides | ||
| 407 | detailed statistics on suicide incidents across India classified by | 408 | detailed statistics on suicide incidents across India classified by | ||
| 408 | marital status, gender, state, and year. The dataset captures counts | 409 | marital status, gender, state, and year. The dataset captures counts | ||
| 409 | of suicide cases among individuals identified as Unmarried, Married, | 410 | of suicide cases among individuals identified as Unmarried, Married, | ||
| 410 | Divorcee, Separated, Widowed/Widower, or with Status Not Known, | 411 | Divorcee, Separated, Widowed/Widower, or with Status Not Known, | ||
| 411 | offering a comprehensive view of how social and familial structures | 412 | offering a comprehensive view of how social and familial structures | ||
| 412 | intersect with mental health outcomes. Covering multiple years and all | 413 | intersect with mental health outcomes. Covering multiple years and all | ||
| 413 | Indian states and union territories, suicides by marital status | 414 | Indian states and union territories, suicides by marital status | ||
| 414 | dataset serves as an essential resource for researchers, mental health | 415 | dataset serves as an essential resource for researchers, mental health | ||
| 415 | professionals, and policymakers seeking to understand patterns of | 416 | professionals, and policymakers seeking to understand patterns of | ||
| 416 | suicide in relation to social identity and marital conditions. It | 417 | suicide in relation to social identity and marital conditions. It | ||
| 417 | facilitates comparative and trend-based analyses to inform targeted | 418 | facilitates comparative and trend-based analyses to inform targeted | ||
| 418 | suicide prevention, social welfare, and mental health support programs | 419 | suicide prevention, social welfare, and mental health support programs | ||
| 419 | at both national and regional levels.", | 420 | at both national and regional levels.", | ||
| 420 | "district_no": "0", | 421 | "district_no": "0", | ||
| 421 | "format": "CSV", | 422 | "format": "CSV", | ||
| 422 | "frequency": "Yearly", | 423 | "frequency": "Yearly", | ||
| 423 | "gp_no": "0", | 424 | "gp_no": "0", | ||
| 424 | "granularity": "State", | 425 | "granularity": "State", | ||
| 425 | "hash": "", | 426 | "hash": "", | ||
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| 430 | "Number of Deaths" | ||||
| 431 | ], | ||||
| 428 | "last_modified": "2026-02-12T07:35:43.527294", | 432 | "last_modified": "2026-02-12T07:35:43.527294", | ||
| n | n | 433 | "lgd_mapping": "yes", | ||
| 434 | "mapping_status": 100, | ||||
| 429 | "metadata_modified": "2026-02-12T07:35:48.586817", | 435 | "metadata_modified": "2026-02-12T10:40:12.207310", | ||
| 430 | "methodology": "The National Crime Records Bureau (NCRB) | 436 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 431 | compiles profession-wise suicide statistics annually based on | 437 | compiles profession-wise suicide statistics annually based on | ||
| 432 | information gathered during police investigations, autopsy reports, | 438 | information gathered during police investigations, autopsy reports, | ||
| 433 | and inputs recorded by state crime records bureaus. When a suicide | 439 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 434 | case is registered, investigating officers classify the | 440 | case is registered, investigating officers classify the | ||
| 435 | deceased\u2019s occupation or livelihood at the time of death into | 441 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 436 | predefined categories such as farmers, daily wage earners, students, | 442 | predefined categories such as farmers, daily wage earners, students, | ||
| 437 | professionals, or unemployed individuals. These occupational details | 443 | professionals, or unemployed individuals. These occupational details | ||
| 438 | are typically reported by family members, witnesses, or through | 444 | are typically reported by family members, witnesses, or through | ||
| 439 | available identification records. State-level data are consolidated | 445 | available identification records. State-level data are consolidated | ||
| 440 | and published in the Accidental Deaths and Suicides in India (ADSI) | 446 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 441 | report, with suicide rates calculated using relevant occupational | 447 | report, with suicide rates calculated using relevant occupational | ||
| 442 | population estimates where available.", | 448 | population estimates where available.", | ||
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| 453 | "state": "active", | 460 | "state": "active", | ||
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| n | 455 | "tags": [ | n | ||
| 456 | "Suicides by Marital Status", | ||||
| 457 | "NCRB ADSI", | ||||
| 458 | "Marital Status Statistics", | ||||
| 459 | "Suicide Data India", | ||||
| 460 | "Gender and Suicide", | ||||
| 461 | "Family and Mental Health", | ||||
| 462 | "Marital Breakdown and Suicide" | ||||
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| 467 | "url_type": "upload", | 465 | "url_type": "upload", | ||
| t | 468 | "village_no": "0", | t | ||
| 469 | "years_covered": "2018 - 2022" | 466 | "years_covered": "2018 - 2022" | ||
| 470 | }, | 467 | }, | ||
| 471 | { | 468 | { | ||
| 472 | "cache_last_updated": null, | 469 | "cache_last_updated": null, | ||
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| 474 | "created": "2026-02-12T07:37:01.760905", | 471 | "created": "2026-02-12T07:37:01.760905", | ||
| 475 | "data_extraction_page": | 472 | "data_extraction_page": | ||
| 476 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 473 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 477 | "data_insights": "The Suicides by Educational Status dataset | 474 | "data_insights": "The Suicides by Educational Status dataset | ||
| 478 | provides crucial insights into how levels of educational attainment | 475 | provides crucial insights into how levels of educational attainment | ||
| 479 | influence vulnerability to suicide across India. By examining suicide | 476 | influence vulnerability to suicide across India. By examining suicide | ||
| 480 | counts disaggregated by education categories\u2014from No Education to | 477 | counts disaggregated by education categories\u2014from No Education to | ||
| 481 | Professionals (MBA etc.). The dataset enables researchers to assess | 478 | Professionals (MBA etc.). The dataset enables researchers to assess | ||
| 482 | the relationship between literacy, knowledge access, and mental health | 479 | the relationship between literacy, knowledge access, and mental health | ||
| 483 | resilience. Analysis of this data can reveal whether individuals with | 480 | resilience. Analysis of this data can reveal whether individuals with | ||
| 484 | lower education levels face greater psychological and economic stress | 481 | lower education levels face greater psychological and economic stress | ||
| 485 | due to limited opportunities, or whether highly educated individuals | 482 | due to limited opportunities, or whether highly educated individuals | ||
| 486 | experience distinct forms of social or professional pressure | 483 | experience distinct forms of social or professional pressure | ||
| 487 | contributing to suicide risk.\n\nWhen analyzed alongside gender and | 484 | contributing to suicide risk.\n\nWhen analyzed alongside gender and | ||
| 488 | regional dimensions, the dataset allows for nuanced understanding of | 485 | regional dimensions, the dataset allows for nuanced understanding of | ||
| 489 | how education interacts with social context such as gendered | 486 | how education interacts with social context such as gendered | ||
| 490 | expectations, employment insecurity, or urban-rural disparities to | 487 | expectations, employment insecurity, or urban-rural disparities to | ||
| 491 | shape suicide patterns. Temporal trends can show whether educational | 488 | shape suicide patterns. Temporal trends can show whether educational | ||
| 492 | empowerment and literacy growth are translating into improved mental | 489 | empowerment and literacy growth are translating into improved mental | ||
| 493 | well-being, or if emerging academic and employment pressures are | 490 | well-being, or if emerging academic and employment pressures are | ||
| 494 | increasing suicide risks among educated youth.", | 491 | increasing suicide risks among educated youth.", | ||
| 495 | "data_last_updated": "30-09-2025", | 492 | "data_last_updated": "30-09-2025", | ||
| 496 | "data_retreival_date": "18-10-2025", | 493 | "data_retreival_date": "18-10-2025", | ||
| 497 | "datastore_active": true, | 494 | "datastore_active": true, | ||
| 498 | "description": "The Suicides by Educational Status dataset, | 495 | "description": "The Suicides by Educational Status dataset, | ||
| 499 | published by the National Crime Records Bureau (NCRB) under the | 496 | published by the National Crime Records Bureau (NCRB) under the | ||
| 500 | Accidental Deaths and Suicides in India (ADSI) reports, provides | 497 | Accidental Deaths and Suicides in India (ADSI) reports, provides | ||
| 501 | comprehensive statistics on suicide incidents across India classified | 498 | comprehensive statistics on suicide incidents across India classified | ||
| 502 | by the educational attainment of individuals, along with gender, | 499 | by the educational attainment of individuals, along with gender, | ||
| 503 | state, and year. The dataset categorizes education levels into groups | 500 | state, and year. The dataset categorizes education levels into groups | ||
| 504 | such as No Education, Primary (Up to Class 5th), Middle (Up to Class | 501 | such as No Education, Primary (Up to Class 5th), Middle (Up to Class | ||
| 505 | 8th), Matriculate/Secondary (Up to Class 10th), Higher | 502 | 8th), Matriculate/Secondary (Up to Class 10th), Higher | ||
| 506 | Secondary/Intermediate/Pre-University (Up to Class 12th), | 503 | Secondary/Intermediate/Pre-University (Up to Class 12th), | ||
| 507 | Diploma/Certificate/ITI, Graduate and Above, Professionals (MBA etc.), | 504 | Diploma/Certificate/ITI, Graduate and Above, Professionals (MBA etc.), | ||
| 508 | and Status Not Known.\n\nThis classification enables detailed analysis | 505 | and Status Not Known.\n\nThis classification enables detailed analysis | ||
| 509 | of how educational achievement correlates with vulnerability to | 506 | of how educational achievement correlates with vulnerability to | ||
| 510 | suicide, shedding light on the intersection of literacy, socioeconomic | 507 | suicide, shedding light on the intersection of literacy, socioeconomic | ||
| 511 | opportunity, and mental health outcomes. Covering data across Indian | 508 | opportunity, and mental health outcomes. Covering data across Indian | ||
| 512 | states and union territories over multiple years, suicides by | 509 | states and union territories over multiple years, suicides by | ||
| 513 | educational status dataset serves as a vital resource for educators, | 510 | educational status dataset serves as a vital resource for educators, | ||
| 514 | researchers, and policymakers seeking to understand how educational | 511 | researchers, and policymakers seeking to understand how educational | ||
| 515 | background influences mental health resilience, stress exposure, and | 512 | background influences mental health resilience, stress exposure, and | ||
| 516 | access to social or psychological support. It supports evidence-based | 513 | access to social or psychological support. It supports evidence-based | ||
| 517 | planning of education-linked mental health initiatives and public | 514 | planning of education-linked mental health initiatives and public | ||
| 518 | awareness campaigns aimed at suicide prevention and social | 515 | awareness campaigns aimed at suicide prevention and social | ||
| 519 | well-being.", | 516 | well-being.", | ||
| 520 | "district_no": "0", | 517 | "district_no": "0", | ||
| 521 | "format": "CSV", | 518 | "format": "CSV", | ||
| 522 | "frequency": "Yearly", | 519 | "frequency": "Yearly", | ||
| 523 | "gp_no": "0", | 520 | "gp_no": "0", | ||
| 524 | "granularity": "State", | 521 | "granularity": "State", | ||
| 525 | "hash": "", | 522 | "hash": "", | ||
| 526 | "id": "86c4a3d2-194e-431a-a350-e195d08445a0", | 523 | "id": "86c4a3d2-194e-431a-a350-e195d08445a0", | ||
| 527 | "idp_ready": false, | 524 | "idp_ready": false, | ||
| 528 | "last_modified": "2026-02-12T07:37:01.724727", | 525 | "last_modified": "2026-02-12T07:37:01.724727", | ||
| 529 | "metadata_modified": "2026-02-12T07:37:07.528204", | 526 | "metadata_modified": "2026-02-12T07:37:07.528204", | ||
| 530 | "methodology": "The National Crime Records Bureau (NCRB) | 527 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 531 | compiles profession-wise suicide statistics annually based on | 528 | compiles profession-wise suicide statistics annually based on | ||
| 532 | information gathered during police investigations, autopsy reports, | 529 | information gathered during police investigations, autopsy reports, | ||
| 533 | and inputs recorded by state crime records bureaus. When a suicide | 530 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 534 | case is registered, investigating officers classify the | 531 | case is registered, investigating officers classify the | ||
| 535 | deceased\u2019s occupation or livelihood at the time of death into | 532 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 536 | predefined categories such as farmers, daily wage earners, students, | 533 | predefined categories such as farmers, daily wage earners, students, | ||
| 537 | professionals, or unemployed individuals. These occupational details | 534 | professionals, or unemployed individuals. These occupational details | ||
| 538 | are typically reported by family members, witnesses, or through | 535 | are typically reported by family members, witnesses, or through | ||
| 539 | available identification records. State-level data are consolidated | 536 | available identification records. State-level data are consolidated | ||
| 540 | and published in the Accidental Deaths and Suicides in India (ADSI) | 537 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 541 | report, with suicide rates calculated using relevant occupational | 538 | report, with suicide rates calculated using relevant occupational | ||
| 542 | population estimates where available.", | 539 | population estimates where available.", | ||
| 543 | "mimetype": "text/csv", | 540 | "mimetype": "text/csv", | ||
| 544 | "mimetype_inner": null, | 541 | "mimetype_inner": null, | ||
| 545 | "name": "Suicides by Educational Status", | 542 | "name": "Suicides by Educational Status", | ||
| 546 | "no_indicators": "1", | 543 | "no_indicators": "1", | ||
| 547 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | 544 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | ||
| 548 | "position": 5, | 545 | "position": 5, | ||
| 549 | "resource_type": null, | 546 | "resource_type": null, | ||
| 550 | "similar_datasets": [], | 547 | "similar_datasets": [], | ||
| 551 | "size": 369795, | 548 | "size": 369795, | ||
| 552 | "sku": "ncrb-adsi_suicides_by_educational_status-st-yr-aaa", | 549 | "sku": "ncrb-adsi_suicides_by_educational_status-st-yr-aaa", | ||
| 553 | "state": "active", | 550 | "state": "active", | ||
| 554 | "states_uts_no": "36", | 551 | "states_uts_no": "36", | ||
| 555 | "tags": [ | 552 | "tags": [ | ||
| 556 | "Suicides by Educational Status", | 553 | "Suicides by Educational Status", | ||
| 557 | "Education and Mental Health", | 554 | "Education and Mental Health", | ||
| 558 | "NCRB ADSI", | 555 | "NCRB ADSI", | ||
| 559 | "Literacy and Suicide", | 556 | "Literacy and Suicide", | ||
| 560 | "Academic Stress in India", | 557 | "Academic Stress in India", | ||
| 561 | "Socioeconomic Factors in Suicide", | 558 | "Socioeconomic Factors in Suicide", | ||
| 562 | "Education Level Analysis", | 559 | "Education Level Analysis", | ||
| 563 | "Suicide Prevention in Education" | 560 | "Suicide Prevention in Education" | ||
| 564 | ], | 561 | ], | ||
| 565 | "tehsil_no": "0", | 562 | "tehsil_no": "0", | ||
| 566 | "url": | 563 | "url": | ||
| 567 | e-431a-a350-e195d08445a0/download/suicides-by-educational-status.csv", | 564 | e-431a-a350-e195d08445a0/download/suicides-by-educational-status.csv", | ||
| 568 | "url_type": "upload", | 565 | "url_type": "upload", | ||
| 569 | "village_no": "0", | 566 | "village_no": "0", | ||
| 570 | "years_covered": "2018 - 2022" | 567 | "years_covered": "2018 - 2022" | ||
| 571 | }, | 568 | }, | ||
| 572 | { | 569 | { | ||
| 573 | "cache_last_updated": null, | 570 | "cache_last_updated": null, | ||
| 574 | "cache_url": null, | 571 | "cache_url": null, | ||
| 575 | "created": "2026-02-12T07:38:49.927261", | 572 | "created": "2026-02-12T07:38:49.927261", | ||
| 576 | "data_extraction_page": | 573 | "data_extraction_page": | ||
| 577 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 574 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 578 | "data_insights": "The Mass/Family Suicides dataset offers a rare | 575 | "data_insights": "The Mass/Family Suicides dataset offers a rare | ||
| 579 | and deeply significant window into the social and emotional crises | 576 | and deeply significant window into the social and emotional crises | ||
| 580 | that lead to collective acts of suicide within families or close | 577 | that lead to collective acts of suicide within families or close | ||
| 581 | groups in India. By examining the number of such cases disaggregated | 578 | groups in India. By examining the number of such cases disaggregated | ||
| 582 | by marital status (Married and Unmarried), the dataset allows | 579 | by marital status (Married and Unmarried), the dataset allows | ||
| 583 | researchers to explore how family structure, relationship dynamics, | 580 | researchers to explore how family structure, relationship dynamics, | ||
| 584 | and social pressures contribute to extreme distress culminating in | 581 | and social pressures contribute to extreme distress culminating in | ||
| 585 | shared suicide events.\n\nAnalysis of this data can reveal whether | 582 | shared suicide events.\n\nAnalysis of this data can reveal whether | ||
| 586 | married individuals are more frequently involved in mass suicides, | 583 | married individuals are more frequently involved in mass suicides, | ||
| 587 | potentially reflecting family or financial stress or whether unmarried | 584 | potentially reflecting family or financial stress or whether unmarried | ||
| 588 | individuals face distinct psychological or social triggers. Temporal | 585 | individuals face distinct psychological or social triggers. Temporal | ||
| 589 | and regional patterns may highlight states or periods where collective | 586 | and regional patterns may highlight states or periods where collective | ||
| 590 | suicides increase, possibly in connection with economic hardship, | 587 | suicides increase, possibly in connection with economic hardship, | ||
| 591 | social isolation, or cultural pressures.", | 588 | social isolation, or cultural pressures.", | ||
| 592 | "data_last_updated": "30-09-2025", | 589 | "data_last_updated": "30-09-2025", | ||
| 593 | "data_retreival_date": "27-10-2025", | 590 | "data_retreival_date": "27-10-2025", | ||
| 594 | "datastore_active": true, | 591 | "datastore_active": true, | ||
| 595 | "description": "The Mass/Family Suicides dataset, compiled by | 592 | "description": "The Mass/Family Suicides dataset, compiled by | ||
| 596 | the National Crime Records Bureau (NCRB) as part of the Accidental | 593 | the National Crime Records Bureau (NCRB) as part of the Accidental | ||
| 597 | Deaths and Suicides in India (ADSI) series, presents detailed | 594 | Deaths and Suicides in India (ADSI) series, presents detailed | ||
| 598 | statistics on suicide incidents involving multiple members of a family | 595 | statistics on suicide incidents involving multiple members of a family | ||
| 599 | or collective groups across India. The dataset includes variables such | 596 | or collective groups across India. The dataset includes variables such | ||
| 600 | as the number of cases, and the marital status of victims (categorized | 597 | as the number of cases, and the marital status of victims (categorized | ||
| 601 | as Married and Unmarried), providing insights into family-based | 598 | as Married and Unmarried), providing insights into family-based | ||
| 602 | distress and shared psychosocial vulnerabilities that lead to such | 599 | distress and shared psychosocial vulnerabilities that lead to such | ||
| 603 | extreme outcomes.", | 600 | extreme outcomes.", | ||
| 604 | "district_no": "0", | 601 | "district_no": "0", | ||
| 605 | "format": "CSV", | 602 | "format": "CSV", | ||
| 606 | "frequency": "Yearly", | 603 | "frequency": "Yearly", | ||
| 607 | "gp_no": "0", | 604 | "gp_no": "0", | ||
| 608 | "granularity": "State", | 605 | "granularity": "State", | ||
| 609 | "hash": "", | 606 | "hash": "", | ||
| 610 | "id": "05cd6bdf-fcb4-44b0-8cfb-96e9f2f6da1c", | 607 | "id": "05cd6bdf-fcb4-44b0-8cfb-96e9f2f6da1c", | ||
| 611 | "idp_ready": false, | 608 | "idp_ready": false, | ||
| 612 | "last_modified": "2026-02-12T07:38:49.891203", | 609 | "last_modified": "2026-02-12T07:38:49.891203", | ||
| 613 | "metadata_modified": "2026-02-12T07:38:52.376440", | 610 | "metadata_modified": "2026-02-12T07:38:52.376440", | ||
| 614 | "methodology": "The National Crime Records Bureau (NCRB) | 611 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 615 | compiles profession-wise suicide statistics annually based on | 612 | compiles profession-wise suicide statistics annually based on | ||
| 616 | information gathered during police investigations, autopsy reports, | 613 | information gathered during police investigations, autopsy reports, | ||
| 617 | and inputs recorded by state crime records bureaus. When a suicide | 614 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 618 | case is registered, investigating officers classify the | 615 | case is registered, investigating officers classify the | ||
| 619 | deceased\u2019s occupation or livelihood at the time of death into | 616 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 620 | predefined categories such as farmers, daily wage earners, students, | 617 | predefined categories such as farmers, daily wage earners, students, | ||
| 621 | professionals, or unemployed individuals. These occupational details | 618 | professionals, or unemployed individuals. These occupational details | ||
| 622 | are typically reported by family members, witnesses, or through | 619 | are typically reported by family members, witnesses, or through | ||
| 623 | available identification records. State-level data are consolidated | 620 | available identification records. State-level data are consolidated | ||
| 624 | and published in the Accidental Deaths and Suicides in India (ADSI) | 621 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 625 | report, with suicide rates calculated using relevant occupational | 622 | report, with suicide rates calculated using relevant occupational | ||
| 626 | population estimates where available.", | 623 | population estimates where available.", | ||
| 627 | "mimetype": "text/csv", | 624 | "mimetype": "text/csv", | ||
| 628 | "mimetype_inner": null, | 625 | "mimetype_inner": null, | ||
| 629 | "name": "Mass or Family Suicides", | 626 | "name": "Mass or Family Suicides", | ||
| 630 | "no_indicators": "3", | 627 | "no_indicators": "3", | ||
| 631 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | 628 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | ||
| 632 | "position": 6, | 629 | "position": 6, | ||
| 633 | "resource_type": null, | 630 | "resource_type": null, | ||
| 634 | "similar_datasets": [], | 631 | "similar_datasets": [], | ||
| 635 | "size": 7582, | 632 | "size": 7582, | ||
| 636 | "sku": "ncrb-adsi_mass_or_family_suicides-st-yr-aaa", | 633 | "sku": "ncrb-adsi_mass_or_family_suicides-st-yr-aaa", | ||
| 637 | "state": "active", | 634 | "state": "active", | ||
| 638 | "states_uts_no": "36", | 635 | "states_uts_no": "36", | ||
| 639 | "tags": [ | 636 | "tags": [ | ||
| 640 | "Mass or Family Suicides", | 637 | "Mass or Family Suicides", | ||
| 641 | "NCRB ADSI", | 638 | "NCRB ADSI", | ||
| 642 | "Collective Suicides in India", | 639 | "Collective Suicides in India", | ||
| 643 | "Family Stress and Suicide", | 640 | "Family Stress and Suicide", | ||
| 644 | "Marital Status and Suicide", | 641 | "Marital Status and Suicide", | ||
| 645 | "Socioeconomic Causes of Suicide", | 642 | "Socioeconomic Causes of Suicide", | ||
| 646 | "Mental Health Crisis India", | 643 | "Mental Health Crisis India", | ||
| 647 | "Suicide Prevention Programs" | 644 | "Suicide Prevention Programs" | ||
| 648 | ], | 645 | ], | ||
| 649 | "tehsil_no": "0", | 646 | "tehsil_no": "0", | ||
| 650 | "url": | 647 | "url": | ||
| 651 | bdf-fcb4-44b0-8cfb-96e9f2f6da1c/download/mass-or-family-suicides.csv", | 648 | bdf-fcb4-44b0-8cfb-96e9f2f6da1c/download/mass-or-family-suicides.csv", | ||
| 652 | "url_type": "upload", | 649 | "url_type": "upload", | ||
| 653 | "village_no": "0", | 650 | "village_no": "0", | ||
| 654 | "years_covered": "2018 - 2022" | 651 | "years_covered": "2018 - 2022" | ||
| 655 | }, | 652 | }, | ||
| 656 | { | 653 | { | ||
| 657 | "cache_last_updated": null, | 654 | "cache_last_updated": null, | ||
| 658 | "cache_url": null, | 655 | "cache_url": null, | ||
| 659 | "created": "2026-02-12T09:50:33.837266", | 656 | "created": "2026-02-12T09:50:33.837266", | ||
| 660 | "data_extraction_page": | 657 | "data_extraction_page": | ||
| 661 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | 658 | w.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html", | ||
| 662 | "data_insights": "The Incidence and Rate of Suicides dataset | 659 | "data_insights": "The Incidence and Rate of Suicides dataset | ||
| 663 | provides essential insights into the scale, trends, and demographic | 660 | provides essential insights into the scale, trends, and demographic | ||
| 664 | distribution of suicides across India. By analyzing both the absolute | 661 | distribution of suicides across India. By analyzing both the absolute | ||
| 665 | number of suicide cases and the rate per lakh population, researchers | 662 | number of suicide cases and the rate per lakh population, researchers | ||
| 666 | can distinguish between regions experiencing high suicide counts due | 663 | can distinguish between regions experiencing high suicide counts due | ||
| 667 | to population size and those facing disproportionately high suicide | 664 | to population size and those facing disproportionately high suicide | ||
| 668 | rates relative to their population.\n\nThis distinction is critical | 665 | rates relative to their population.\n\nThis distinction is critical | ||
| 669 | for identifying high-burden states and emerging risk zones, enabling | 666 | for identifying high-burden states and emerging risk zones, enabling | ||
| 670 | policymakers to prioritize mental health interventions where they are | 667 | policymakers to prioritize mental health interventions where they are | ||
| 671 | needed most. Temporal analysis reveals how suicide incidence and rates | 668 | needed most. Temporal analysis reveals how suicide incidence and rates | ||
| 672 | have evolved over the years, reflecting the impact of social change, | 669 | have evolved over the years, reflecting the impact of social change, | ||
| 673 | economic shifts, or national crises on mental health outcomes. | 670 | economic shifts, or national crises on mental health outcomes. | ||
| 674 | Combined with demographic and socioeconomic data, incidence and rate | 671 | Combined with demographic and socioeconomic data, incidence and rate | ||
| 675 | of suicide dataset can help uncover correlations between suicide | 672 | of suicide dataset can help uncover correlations between suicide | ||
| 676 | trends and factors such as unemployment, education, urbanization, and | 673 | trends and factors such as unemployment, education, urbanization, and | ||
| 677 | income inequality.", | 674 | income inequality.", | ||
| 678 | "data_last_updated": "30-09-2025", | 675 | "data_last_updated": "30-09-2025", | ||
| 679 | "data_retreival_date": "28-10-2025", | 676 | "data_retreival_date": "28-10-2025", | ||
| 680 | "datastore_active": true, | 677 | "datastore_active": true, | ||
| 681 | "description": "The Incidence and Rate of Suicides dataset, | 678 | "description": "The Incidence and Rate of Suicides dataset, | ||
| 682 | published by the National Crime Records Bureau (NCRB) as part of the | 679 | published by the National Crime Records Bureau (NCRB) as part of the | ||
| 683 | Accidental Deaths and Suicides in India (ADSI) series, provides | 680 | Accidental Deaths and Suicides in India (ADSI) series, provides | ||
| 684 | comprehensive national and state-level statistics on the total number | 681 | comprehensive national and state-level statistics on the total number | ||
| 685 | of suicides and their corresponding rates per lakh population across | 682 | of suicides and their corresponding rates per lakh population across | ||
| 686 | India. The Incidence and Rate of Suicides dataset records annual | 683 | India. The Incidence and Rate of Suicides dataset records annual | ||
| 687 | suicide counts (incidence) alongside the suicide rate, enabling | 684 | suicide counts (incidence) alongside the suicide rate, enabling | ||
| 688 | comparative analyses over time and across regions.", | 685 | comparative analyses over time and across regions.", | ||
| 689 | "district_no": "0", | 686 | "district_no": "0", | ||
| 690 | "format": "CSV", | 687 | "format": "CSV", | ||
| 691 | "frequency": "Yearly", | 688 | "frequency": "Yearly", | ||
| 692 | "gp_no": "0", | 689 | "gp_no": "0", | ||
| 693 | "granularity": "State", | 690 | "granularity": "State", | ||
| 694 | "hash": "", | 691 | "hash": "", | ||
| 695 | "id": "1ece5b23-94b4-4a80-9f11-d2f6e001f916", | 692 | "id": "1ece5b23-94b4-4a80-9f11-d2f6e001f916", | ||
| 696 | "idp_ready": false, | 693 | "idp_ready": false, | ||
| 697 | "last_modified": "2026-02-12T09:50:33.792348", | 694 | "last_modified": "2026-02-12T09:50:33.792348", | ||
| 698 | "metadata_modified": "2026-02-12T09:50:36.666185", | 695 | "metadata_modified": "2026-02-12T09:50:36.666185", | ||
| 699 | "methodology": "The National Crime Records Bureau (NCRB) | 696 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 700 | compiles profession-wise suicide statistics annually based on | 697 | compiles profession-wise suicide statistics annually based on | ||
| 701 | information gathered during police investigations, autopsy reports, | 698 | information gathered during police investigations, autopsy reports, | ||
| 702 | and inputs recorded by state crime records bureaus. When a suicide | 699 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 703 | case is registered, investigating officers classify the | 700 | case is registered, investigating officers classify the | ||
| 704 | deceased\u2019s occupation or livelihood at the time of death into | 701 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 705 | predefined categories such as farmers, daily wage earners, students, | 702 | predefined categories such as farmers, daily wage earners, students, | ||
| 706 | professionals, or unemployed individuals. These occupational details | 703 | professionals, or unemployed individuals. These occupational details | ||
| 707 | are typically reported by family members, witnesses, or through | 704 | are typically reported by family members, witnesses, or through | ||
| 708 | available identification records. State-level data are consolidated | 705 | available identification records. State-level data are consolidated | ||
| 709 | and published in the Accidental Deaths and Suicides in India (ADSI) | 706 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 710 | report, with suicide rates calculated using relevant occupational | 707 | report, with suicide rates calculated using relevant occupational | ||
| 711 | population estimates where available.", | 708 | population estimates where available.", | ||
| 712 | "mimetype": "text/csv", | 709 | "mimetype": "text/csv", | ||
| 713 | "mimetype_inner": null, | 710 | "mimetype_inner": null, | ||
| 714 | "name": "Incidence and Rate of Suicides", | 711 | "name": "Incidence and Rate of Suicides", | ||
| 715 | "no_indicators": "3", | 712 | "no_indicators": "3", | ||
| 716 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | 713 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | ||
| 717 | "position": 7, | 714 | "position": 7, | ||
| 718 | "resource_type": null, | 715 | "resource_type": null, | ||
| 719 | "similar_datasets": [], | 716 | "similar_datasets": [], | ||
| 720 | "size": 8866, | 717 | "size": 8866, | ||
| 721 | "sku": "ncrb-adsi_incidence_and_rate_of_suicides-st-yr-aaa", | 718 | "sku": "ncrb-adsi_incidence_and_rate_of_suicides-st-yr-aaa", | ||
| 722 | "state": "active", | 719 | "state": "active", | ||
| 723 | "states_uts_no": "36", | 720 | "states_uts_no": "36", | ||
| 724 | "tags": [ | 721 | "tags": [ | ||
| 725 | "Suicide Incidence and Rate", | 722 | "Suicide Incidence and Rate", | ||
| 726 | "NCRB ADSI", | 723 | "NCRB ADSI", | ||
| 727 | "Suicide Statistics India", | 724 | "Suicide Statistics India", | ||
| 728 | "Mental Health India", | 725 | "Mental Health India", | ||
| 729 | "Suicide Trends by State", | 726 | "Suicide Trends by State", | ||
| 730 | "Public Health Data India", | 727 | "Public Health Data India", | ||
| 731 | "Regional Suicide Analysis", | 728 | "Regional Suicide Analysis", | ||
| 732 | "Suicide Prevention Policy" | 729 | "Suicide Prevention Policy" | ||
| 733 | ], | 730 | ], | ||
| 734 | "tehsil_no": "0", | 731 | "tehsil_no": "0", | ||
| 735 | "url": | 732 | "url": | ||
| 736 | 4-4a80-9f11-d2f6e001f916/download/incidence-and-rate-of-suicides.csv", | 733 | 4-4a80-9f11-d2f6e001f916/download/incidence-and-rate-of-suicides.csv", | ||
| 737 | "url_type": "upload", | 734 | "url_type": "upload", | ||
| 738 | "village_no": "0", | 735 | "village_no": "0", | ||
| 739 | "years_covered": "2018 - 2022" | 736 | "years_covered": "2018 - 2022" | ||
| 740 | } | 737 | } | ||
| 741 | ], | 738 | ], | ||
| 742 | "sector": [ | 739 | "sector": [ | ||
| 743 | "Crime" | 740 | "Crime" | ||
| 744 | ], | 741 | ], | ||
| 745 | "source_name": "National Crime Records Bureau", | 742 | "source_name": "National Crime Records Bureau", | ||
| 746 | "state": "active", | 743 | "state": "active", | ||
| 747 | "title": "Suicides in India", | 744 | "title": "Suicides in India", | ||
| 748 | "type": "dataset", | 745 | "type": "dataset", | ||
| 749 | "url": "https://www.ncrb.gov.in/", | 746 | "url": "https://www.ncrb.gov.in/", | ||
| 750 | "version": null | 747 | "version": null | ||
| 751 | } | 748 | } |