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
method_of_suicide
Type
text
Label
Method of Suicide

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
Additional infonan
Data extraction pagehttps://www.ncrb.gov.in/accidental-deaths-suicides-in-india-table-content.html
Data insightsThis dataset makes it possible to identify the leading social, economic, and health-related drivers of suicide in India and how they vary across states, genders, and age groups. It can highlight vulnerable populations most affected by factors such as illness, family disputes, or financial stress, and reveal shifting patterns in causes over time. Such insights can inform mental health programs, social welfare policies, and economic interventions targeted at high-risk groups.
Data last updated22-09-2025
Data retreival date22-09-2025
Datastore activeTrue
District no0
FrequencyYearly
Gp no0
GranularityState
Has viewsTrue
Id04823ac8-1843-45ed-83f3-52fcf8083f6a
Idp readyTrue
Lgd mappingyes
Mapping status100
MethodologyThe National Crime Records Bureau (NCRB) compiles suicide data each year based on information from police investigations, autopsies, and reports submitted by state crime records bureaus. Cases are grouped into categories such as illness, family issues, or financial problems, usually drawing on details provided by investigators or relatives. These state-level figures are then aggregated and published in the Accidental Deaths and Suicides in India (ADSI) report, with suicide rates calculated using population estimates. While the system provides consistent nationwide coverage, the data is often limited by under-reporting, inconsistent definitions of causes, and the influence of stigma, which can affect accuracy and comparability across states.
No indicators1
Package id3e8b0a00-ced1-465f-8053-fd4f8a96dbe3
Position1
Similar resources60092b38-7433-4b1c-9338-9bd322b748d9,18e22208-1a37-4263-a51c-cacefb535bb3,0f125f64-a2b8-466e-845a-2a03a7e073de,22867c0c-2859-42b6-9d0f-1689d010439e,86c4a3d2-194e-431a-a350-e195d08445a0,05cd6bdf-fcb4-44b0-8cfb-96e9f2f6da1c,1ece5b23-94b4-4a80-9f11-d2f6e001f916
Size608.5 KiB
Skuncrb-adsi_suicides_by_means_adopted-st-yr-aaa
Stateactive
States uts no36
Tehsil no0
Url typeupload
Years covered2018 - 2022
Methodology The National Crime Records Bureau (NCRB) compiles suicide data each year based on information from police investigations, autopsies, and reports submitted by state crime records bureaus. Cases are grouped into categories such as illness, family issues, or financial problems, usually drawing on details provided by investigators or relatives. These state-level figures are then aggregated and published in the Accidental Deaths and Suicides in India (ADSI) report, with suicide rates calculated using population estimates. While the system provides consistent nationwide coverage, the data is often limited by under-reporting, inconsistent definitions of causes, and the influence of stigma, which can affect accuracy and comparability across states.
Indicators []
Similar Resources
  1. Suicides by Causes
  2. Suicides by Profession Wise
  3. Suicides by Economic Status
  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 22-09-2025
Data Last Updated 22-09-2025
Sku ncrb-adsi_suicides_by_means_adopted-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 nan
Number of Indicators 1
Insights from the dataset This dataset makes it possible to identify the leading social, economic, and health-related drivers of suicide in India and how they vary across states, genders, and age groups. It can highlight vulnerable populations most affected by factors such as illness, family disputes, or financial stress, and reveal shifting patterns in causes over time. Such insights can inform mental health programs, social welfare policies, and economic interventions targeted at high-risk groups.
IDP Ready Yes
LGD Mapping Yes
Mapping Status % 100
Geo Columns