Data Dictionary

ID
id
Type
int4
Label
index

ID
year
Type
text
Label
Year

ID
state_name
Type
text
Label
State Name

ID
state_code
Type
text
Label
State code

ID
economic_status
Type
text
Label
Economic Status

ID
gender
Type
text
Label
Gender

ID
number_of_deaths
Type
numeric
Label
Number of Deaths

Additional Information

Field Value
Data last updated February 12, 2026
Metadata last updated February 12, 2026
Created February 12, 2026
Format CSV
License Open Data Commons Attribution License
Data extraction pagehttps://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html
Data insightsThe Suicides by Economic Status dataset provides key insights into how financial standing and economic pressures shape suicide patterns across India. Analysis of suicides by income category allows researchers to evaluate whether lower-income groups are disproportionately affected by financial stress and livelihood insecurity, or whether higher-income segments experience distinct forms of social or psychological stress. Disaggregation by gender and region reveals how financial vulnerability intersects with social roles and access to economic opportunities — for example, whether men in lower-income brackets are more prone to economic distress suicides or if women’s suicide patterns vary by household income levels.Temporal analysis of the data helps identify trends over time, such as rising suicides among certain income groups during economic downturns, agricultural distress, or periods of unemployment. State-wise comparisons uncover geographic disparities in the economic determinants of suicide, guiding targeted welfare and mental health interventions. Overall, the dataset supports evidence-based policymaking in areas such as poverty alleviation, employment generation, mental health services, and social protection, highlighting the need to address the intersection of economic hardship and psychological well-being in suicide prevention strategies.
Data last updated30-09-2025
Data retreival date17-10-2025
Datastore activeTrue
District no0
FrequencyYearly
Gp no0
GranularityState
Has viewsTrue
Id0f125f64-a2b8-466e-845a-2a03a7e073de
Idp readyTrue
Indicators['Number of Deaths']
Lgd mappingyes
Mapping status100
MethodologyThe National Crime Records Bureau (NCRB) compiles profession-wise suicide statistics annually based on information gathered during police investigations, autopsy reports, and inputs recorded by state crime records bureaus. When a suicide case is registered, investigating officers classify the deceased’s occupation or livelihood at the time of death into predefined categories such as farmers, daily wage earners, students, professionals, or unemployed individuals. These occupational details are typically reported by family members, witnesses, or through available identification records. State-level data are consolidated and published in the Accidental Deaths and Suicides in India (ADSI) report, with suicide rates calculated using relevant occupational population estimates where available.
No indicators1
Package id3e8b0a00-ced1-465f-8053-fd4f8a96dbe3
Position3
Similar resources60092b38-7433-4b1c-9338-9bd322b748d9,04823ac8-1843-45ed-83f3-52fcf8083f6a,18e22208-1a37-4263-a51c-cacefb535bb3,22867c0c-2859-42b6-9d0f-1689d010439e,86c4a3d2-194e-431a-a350-e195d08445a0,05cd6bdf-fcb4-44b0-8cfb-96e9f2f6da1c,1ece5b23-94b4-4a80-9f11-d2f6e001f916
Size165.3 KiB
Skuncrb-adsi_suicides_by_economic_status-st-yr-aaa
Stateactive
States uts no36
Tehsil no0
Url typeupload
Years covered2018 - 2022
Methodology The National Crime Records Bureau (NCRB) compiles profession-wise suicide statistics annually based on information gathered during police investigations, autopsy reports, and inputs recorded by state crime records bureaus. When a suicide case is registered, investigating officers classify the deceased’s occupation or livelihood at the time of death into predefined categories such as farmers, daily wage earners, students, professionals, or unemployed individuals. These occupational details are typically reported by family members, witnesses, or through available identification records. State-level data are consolidated and published in the Accidental Deaths and Suicides in India (ADSI) report, with suicide rates calculated using relevant occupational population estimates where available.
Indicators ['Number of Deaths']
Similar Resources
  1. Suicides by Causes
  2. Suicides by Means Adopted
  3. Suicides by Profession Wise
  4. Suicides by Marital Status
  5. Suicides by Educational Status
  6. Mass or Family Suicides
  7. Incidence and Rate of Suicides
Granularity Level State
Data Extraction Page https://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html
Data Retreival Date 17-10-2025
Data Last Updated 30-09-2025
Sku ncrb-adsi_suicides_by_economic_status-st-yr-aaa
Dataset Frequency Yearly
Years Covered 2018 - 2022
No of States/UT(s) 36
No of Districts 0
No of Tehsils/blocks 0
No of Gram Panchayats 0
Additional Information
Number of Indicators 1
Insights from the dataset The Suicides by Economic Status dataset provides key insights into how financial standing and economic pressures shape suicide patterns across India. Analysis of suicides by income category allows researchers to evaluate whether lower-income groups are disproportionately affected by financial stress and livelihood insecurity, or whether higher-income segments experience distinct forms of social or psychological stress. Disaggregation by gender and region reveals how financial vulnerability intersects with social roles and access to economic opportunities — for example, whether men in lower-income brackets are more prone to economic distress suicides or if women’s suicide patterns vary by household income levels.Temporal analysis of the data helps identify trends over time, such as rising suicides among certain income groups during economic downturns, agricultural distress, or periods of unemployment. State-wise comparisons uncover geographic disparities in the economic determinants of suicide, guiding targeted welfare and mental health interventions. Overall, the dataset supports evidence-based policymaking in areas such as poverty alleviation, employment generation, mental health services, and social protection, highlighting the need to address the intersection of economic hardship and psychological well-being in suicide prevention strategies.
IDP Ready Yes
LGD Mapping Yes
Mapping Status % 100
Geo Columns