Data Dictionary

ID
id
Typ
int4
Etikett
index

ID
year
Typ
text
Etikett
Year

ID
state_name
Typ
text
Etikett
State Name

ID
state_code
Typ
text
Etikett
State Code

ID
district_name
Typ
text
Etikett
District Name

ID
district_code
Typ
text
Etikett
District Code

ID
registration_circles
Typ
text
Etikett
Registration Circles

ID
murder
Typ
numeric
Etikett
Murder

ID
atmpt_commit_murder
Typ
numeric
Etikett
Attempt To Commit Murder

ID
simple_hurt
Typ
numeric
Etikett
Simple Hurt

ID
grievous_hurt
Typ
numeric
Etikett
Grievous Hurt

ID
acid_attack
Typ
numeric
Etikett
Acid Attack

ID
atmpt_acid_attack
Typ
numeric
Etikett
Attempt To Acid Attack

ID
other_grievous_hurt
Typ
numeric
Etikett
Other Grievous Hurt

ID
assault_on_adult_women
Typ
numeric
Etikett
Assault On Adult Women With Intent To Outrage Her Modesty

ID
sexual_harassment
Typ
numeric
Etikett
Sexual Harassment

ID
atmpt_disrobe
Typ
numeric
Etikett
Assault Or Use Of Criminal Force On Women With Intent To Disrobe

ID
voyeurism
Typ
numeric
Etikett
Voyeurism

ID
stalking
Typ
numeric
Etikett
Stalking

ID
assault_of_children_pocso
Typ
numeric
Etikett
Assault Of Children Pocso

ID
inslt_women_modesty
Typ
numeric
Etikett
Insult To The Modesty Of Women

ID
missing_children_kidnpd
Typ
numeric
Etikett
Missing Children Deemed As Kidnapped

ID
other_kidnp_abduc
Typ
numeric
Etikett
Other Kidnapping Abduction

ID
kidnp_begging
Typ
numeric
Etikett
Kidnapping And Abduction For The Purpose Of Begging

ID
kidnp_murder
Typ
numeric
Etikett
Kidnapping And Abduction In Order To Murder

ID
kidnapping_for_ransom
Typ
numeric
Etikett
Kidnapping For Ransom

ID
kidnp_marriage
Typ
numeric
Etikett
Kidnapping And Abduction Of Women To Compel Her For Marriage

ID
procur_minor_girls
Typ
numeric
Etikett
Procuration Of Minor Girls

ID
kidnp_abduc_sec_365_to_369
Typ
numeric
Etikett
Other Kidnapping Abducion Sec 365 366b 367 368 369 Ipc

ID
rape_of_women
Typ
numeric
Etikett
Rape Of Women

ID
rape_of_children
Typ
numeric
Etikett
Rape Of Children

ID
atmpt_rape
Typ
numeric
Etikett
Attempt To Commit Rape

ID
rioting
Typ
numeric
Etikett
Rioting

ID
robbery
Typ
numeric
Etikett
Robbery

ID
dacoity_with_murder
Typ
numeric
Etikett
Dacoity With Murder

ID
dacoity
Typ
numeric
Etikett
Dacoity

ID
arson
Typ
numeric
Etikett
Arson

ID
criminal_intimidation
Typ
numeric
Etikett
Criminal Intimidation

ID
other_ipc_crimes
Typ
numeric
Etikett
Other Ipc Crimes

ID
intimitate_humiliate
Typ
numeric
Etikett
Intentionally Insult Or Intimidate With Intent To Humiliate

ID
occupy_land_blngs_sts
Typ
numeric
Etikett
Occupy Disposes Land Belongs To Sts

ID
prvnt_obstruct_usage_pub_passage
Typ
numeric
Etikett
Prevent Or Deny Or Obstruct Usage Of Public Place Passage

ID
frc_leave_place_res_soc_boycott
Typ
numeric
Etikett
Force To Leave Place Of Residence Social Boycott

ID
other_offences
Typ
numeric
Etikett
Other Offences

ID
protection_of_civil_rights
Typ
numeric
Etikett
Protection Of Civil Rights

Mer information

Fält Värde
Data senast uppdaterad 20 november 2024
Metadata senast uppdaterad 19 december 2025
Skapad 4 september 2024
Format CSV
Licens Licens ej angiven
Additional infonan
Data extraction pagehttps://ncrb.gov.in/crime-in-india.html
Data insightsData Insights that can be drawn: Yearly trends of crimes against ST's across India. Identification of states and districts with the highest and lowest numbers of specific types of crimes. Comparative analysis of crime rates between different states or districts. Analyzing patterns and correlations between different types of crimes. Determining the efficacy of legal sections (like the Prevention of Atrocities Act or Protection of Civil Rights Act) in dealing with crimes against ST's. Insights into the most frequent types of crimes against ST's in specific regions or over tim
Data last updated01-08-2024
Data retreival date2024-07-01 00:00:00
Datastore activeTrue
District no923
FrequencyYearly
Geo columns['state_code', 'district_code']
GranularityDistrict
Has viewsTrue
Id8ca57277-5df8-4df6-8883-9f6de0c80c93
Idp readyTrue
Lgd mappingyes
MethodologyThe dataset is collected by the National Crime Records Bureau (NCRB) from state and district police departments across India. The data is collated based on First Information Reports (FIR) filed in police stations. Each entry represents a crime categorized under specific sections of the IPC or other related acts and is further broken down by state, district, and year.
Mimetypetext/csv
No indicators38
Package ide311a510-ce48-4f4c-baf6-0ec5f9278285
Position2
Size1,1 MiB
Skuncrb-cii_crime_against_st-dt-yr-aaa
Stateactive
States uts no36
Tags['Crime Data', 'Scheduled Tribes', 'NCRB', 'IPC', 'Crime Trends', 'Prevention of Atrocities Act', 'Protection of Civil Rights Act']
Url typeupload
Years covered2017-2022
Methodology The dataset is collected by the National Crime Records Bureau (NCRB) from state and district police departments across India. The data is collated based on First Information Reports (FIR) filed in police stations. Each entry represents a crime categorized under specific sections of the IPC or other related acts and is further broken down by state, district, and year.
Indicators
Similar Resources
Granularity Level District
Data Extraction Page https://ncrb.gov.in/crime-in-india.html
Data Retreival Date 2024-07-01 00:00:00
Data Last Updated 01-08-2024
Sku ncrb-cii_crime_against_st-dt-yr-aaa
Dataset Frequency Yearly
Years Covered 2017-2022
No of States/UT(s) 36
No of Districts 923
No of Tehsils/blocks
No of Gram Panchayats
Mer information nan
Number of Indicators 38
Insights from the dataset Data Insights that can be drawn: Yearly trends of crimes against ST's across India. Identification of states and districts with the highest and lowest numbers of specific types of crimes. Comparative analysis of crime rates between different states or districts. Analyzing patterns and correlations between different types of crimes. Determining the efficacy of legal sections (like the Prevention of Atrocities Act or Protection of Civil Rights Act) in dealing with crimes against ST's. Insights into the most frequent types of crimes against ST's in specific regions or over tim
IDP Ready Yes
LGD Mapping Yes
Mapping Status %
Geo Columns ['state_code', 'district_code']