Changes
On November 4, 2025, 5:56:17 AM UTC,
-
No fields were updated. See the metadata diff for more details.
| 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", | ||
| t | 14 | "metadata_modified": "2025-11-04T05:56:17.606054", | t | 14 | "metadata_modified": "2025-11-04T05:56:17.811174", |
| 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": 1, | 26 | "num_resources": 1, | ||
| 27 | "num_tags": 1, | 27 | "num_tags": 1, | ||
| 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.\n\nCause-wise analysis reveals | 60 | demographic groups and regions.\n\nCause-wise analysis reveals | ||
| 61 | patterns of vulnerability for example, whether economic distress and | 61 | patterns of vulnerability for example, whether economic distress and | ||
| 62 | unemployment contribute more to suicides among men, or if illness and | 62 | unemployment 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 | "gp_no": "0", | 85 | "gp_no": "0", | ||
| 86 | "granularity": "State", | 86 | "granularity": "State", | ||
| 87 | "hash": "", | 87 | "hash": "", | ||
| 88 | "id": "60092b38-7433-4b1c-9338-9bd322b748d9", | 88 | "id": "60092b38-7433-4b1c-9338-9bd322b748d9", | ||
| 89 | "idp_ready": false, | 89 | "idp_ready": false, | ||
| 90 | "last_modified": "2025-11-04T05:56:06.535095", | 90 | "last_modified": "2025-11-04T05:56:06.535095", | ||
| 91 | "metadata_modified": "2025-11-04T05:56:17.612723", | 91 | "metadata_modified": "2025-11-04T05:56:17.612723", | ||
| 92 | "methodology": "The National Crime Records Bureau (NCRB) | 92 | "methodology": "The National Crime Records Bureau (NCRB) | ||
| 93 | compiles profession-wise suicide statistics annually based on | 93 | compiles profession-wise suicide statistics annually based on | ||
| 94 | information gathered during police investigations, autopsy reports, | 94 | information gathered during police investigations, autopsy reports, | ||
| 95 | and inputs recorded by state crime records bureaus. When a suicide | 95 | and inputs recorded by state crime records bureaus. When a suicide | ||
| 96 | case is registered, investigating officers classify the | 96 | case is registered, investigating officers classify the | ||
| 97 | deceased\u2019s occupation or livelihood at the time of death into | 97 | deceased\u2019s occupation or livelihood at the time of death into | ||
| 98 | predefined categories such as farmers, daily wage earners, students, | 98 | predefined categories such as farmers, daily wage earners, students, | ||
| 99 | professionals, or unemployed individuals. These occupational details | 99 | professionals, or unemployed individuals. These occupational details | ||
| 100 | are typically reported by family members, witnesses, or through | 100 | are typically reported by family members, witnesses, or through | ||
| 101 | available identification records. State-level data are consolidated | 101 | available identification records. State-level data are consolidated | ||
| 102 | and published in the Accidental Deaths and Suicides in India (ADSI) | 102 | and published in the Accidental Deaths and Suicides in India (ADSI) | ||
| 103 | report, with suicide rates calculated using relevant occupational | 103 | report, with suicide rates calculated using relevant occupational | ||
| 104 | population estimates where available.", | 104 | population estimates where available.", | ||
| 105 | "mimetype": "text/csv", | 105 | "mimetype": "text/csv", | ||
| 106 | "mimetype_inner": null, | 106 | "mimetype_inner": null, | ||
| 107 | "name": "Suicides by Causes", | 107 | "name": "Suicides by Causes", | ||
| 108 | "no_indicators": "1", | 108 | "no_indicators": "1", | ||
| 109 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | 109 | "package_id": "3e8b0a00-ced1-465f-8053-fd4f8a96dbe3", | ||
| 110 | "position": 0, | 110 | "position": 0, | ||
| 111 | "resource_type": null, | 111 | "resource_type": null, | ||
| 112 | "similar_datasets": [], | 112 | "similar_datasets": [], | ||
| 113 | "size": 1223617, | 113 | "size": 1223617, | ||
| 114 | "sku": "ncrb-adsi_suicides_by_cause_wise-st-yr-aaa", | 114 | "sku": "ncrb-adsi_suicides_by_cause_wise-st-yr-aaa", | ||
| 115 | "state": "active", | 115 | "state": "active", | ||
| 116 | "states_uts_no": "36", | 116 | "states_uts_no": "36", | ||
| 117 | "tags": [ | 117 | "tags": [ | ||
| 118 | "Suicides by Causes", | 118 | "Suicides by Causes", | ||
| 119 | "NCRB ADSI", | 119 | "NCRB ADSI", | ||
| 120 | "Mental Health India", | 120 | "Mental Health India", | ||
| 121 | "Socioeconomic Causes of Suicide", | 121 | "Socioeconomic Causes of Suicide", | ||
| 122 | "Family and Relationship Stress", | 122 | "Family and Relationship Stress", | ||
| 123 | "Financial Distress and Suicide", | 123 | "Financial Distress and Suicide", | ||
| 124 | "Unemployment and Suicide", | 124 | "Unemployment and Suicide", | ||
| 125 | "Suicide Prevention Policy" | 125 | "Suicide Prevention Policy" | ||
| 126 | ], | 126 | ], | ||
| 127 | "tehsil_no": "0", | 127 | "tehsil_no": "0", | ||
| 128 | "url": | 128 | "url": | ||
| 129 | 60092b38-7433-4b1c-9338-9bd322b748d9/download/suicides-by-causes.csv", | 129 | 60092b38-7433-4b1c-9338-9bd322b748d9/download/suicides-by-causes.csv", | ||
| 130 | "url_type": "upload", | 130 | "url_type": "upload", | ||
| 131 | "village_no": "0", | 131 | "village_no": "0", | ||
| 132 | "years_covered": "2018 - 2022" | 132 | "years_covered": "2018 - 2022" | ||
| 133 | } | 133 | } | ||
| 134 | ], | 134 | ], | ||
| 135 | "sector": [ | 135 | "sector": [ | ||
| 136 | "Crime" | 136 | "Crime" | ||
| 137 | ], | 137 | ], | ||
| 138 | "source_name": "National Crime Records Bureau", | 138 | "source_name": "National Crime Records Bureau", | ||
| 139 | "state": "active", | 139 | "state": "active", | ||
| 140 | "title": "Suicides in India", | 140 | "title": "Suicides in India", | ||
| 141 | "type": "dataset", | 141 | "type": "dataset", | ||
| 142 | "url": "https://www.ncrb.gov.in/", | 142 | "url": "https://www.ncrb.gov.in/", | ||
| 143 | "version": null | 143 | "version": null | ||
| 144 | } | 144 | } |