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
hit_and_run
Typ
numeric
Etikett
Hit And Run

ID
other_accidents
Typ
numeric
Etikett
Other Accidents

ID
death_due_to_med_neglnc
Typ
numeric
Etikett
Death Due To Med Negligence

ID
dowry_death
Typ
numeric
Etikett
Dowry Death

ID
abetment_of_suicide
Typ
numeric
Etikett
Abetment Of Suicide

ID
attempt_to_commit_muder
Typ
numeric
Etikett
Attempt To Commit Muder

ID
other_simple_hurt
Typ
numeric
Etikett
Other Simple Hurt

ID
acid_attack
Typ
numeric
Etikett
Acid Attack

ID
other_grievous_hurt
Typ
numeric
Etikett
Other Grievous Hurt

ID
assault_on_women
Typ
numeric
Etikett
Assault On Women

ID
sexual_harassment_at_work
Typ
numeric
Etikett
Sexual Harassment At Work

ID
voyeurism
Typ
numeric
Etikett
Voyeurism

ID
stalking
Typ
numeric
Etikett
Stalking

ID
kidnapping_foe_ransom
Typ
numeric
Etikett
Kidnapping Foe Ransom

ID
human_trafficking
Typ
numeric
Etikett
Human Trafficking

ID
rape
Typ
numeric
Etikett
Rape

ID
attempt_to_commit_rape
Typ
numeric
Etikett
Attempt To Commit Rape

ID
unnatural_offences
Typ
numeric
Etikett
Unnatural Offences

ID
offence_against_state_other
Typ
numeric
Etikett
Offence Against State Other

ID
rioting_communal_religious
Typ
numeric
Etikett
Rioting Communal Religious

ID
rioting_sectarian
Typ
numeric
Etikett
Rioting Sectarian

ID
rioting_industrial
Typ
numeric
Etikett
Rioting Industrial

ID
rioting_political
Typ
numeric
Etikett
Rioting Political

ID
rioting_caste_conflict
Typ
numeric
Etikett
Rioting Caste Conflict

ID
rioting_agrarian
Typ
numeric
Etikett
Rioting Agrarian

ID
rioting_students
Typ
numeric
Etikett
Rioting Students

ID
rioting_vigilants
Typ
numeric
Etikett
Rioting Vigilants

ID
money_dispute_rioting
Typ
numeric
Etikett
Money Dispute Rioting

ID
water_dispute_rioting
Typ
numeric
Etikett
Water Dispute Rioting

ID
family_dispute_rioting
Typ
numeric
Etikett
Family Dispute Rioting

ID
enmity_rivalry_rioting
Typ
numeric
Etikett
Enmity Rivalry Rioting

ID
other_rioting
Typ
numeric
Etikett
Other Rioting

ID
affray
Typ
numeric
Etikett
Affray

ID
auto_motor_vehicle_theft
Typ
numeric
Etikett
Auto/motor Vehicle Theft

ID
other_thefts
Typ
numeric
Etikett
Other Thefts

ID
day_time
Typ
numeric
Etikett
Day Time

ID
night
Typ
numeric
Etikett
Night

ID
robbery
Typ
numeric
Etikett
Robbery (sec.392/394/397 Ipc)

ID
dacoity
Typ
numeric
Etikett
A) Dacoity (sec.395/397 Ipc)

ID
dacoity_with_murder
Typ
numeric
Etikett
B) Dacoity With Murder (sec.396 Ipc)

ID
criminal_misappropriation
Typ
numeric
Etikett
Criminal Misappropriation (sec.403/404 R/w Other Ipc)

ID
criminal_breach_of_trust
Typ
numeric
Etikett
Criminal Breach Of Trust (sec.406 To 409 Ipc)

ID
counterfeit_coin
Typ
numeric
Etikett
Counterfeit Coin (sec.231-235,237,238-240 And 242-254 Ipc)

ID
bank
Typ
numeric
Etikett
Bank

ID
atms
Typ
numeric
Etikett
Atms

ID
other_frauds
Typ
numeric
Etikett
Other Frauds

ID
cheating
Typ
numeric
Etikett
Cheating

ID
forgery
Typ
numeric
Etikett
Forgery

ID
harbouring_an_offender
Typ
numeric
Etikett
Harbouring An Offender (sec.212/216/216a Ipc)

ID
arson
Typ
numeric
Etikett
Arson (sec.435, 436 And 438 Ipc)

ID
criminal_trespass
Typ
numeric
Etikett
Criminal Trespass (sec.447 To 452 Ipc)

ID
criminal_intimidation
Typ
numeric
Etikett
Criminal Intimidation (sec.506 R/w Other Ipc Crimes)

ID
other_ipc_crimes
Typ
numeric
Etikett
Other Ipc Crimes

Mer information

Fält Värde
Data senast uppdaterad 4 september 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:Trends over Time: With data available for multiple years, one can track the trend of specific crimes over time to ascertain if they are increasing or decreasing.Geographical Insights: By comparing crime statistics across different states and districts, regions with higher instances of specific crimes can be identified.Crime Categories: Insight into which types of crimes are most prevalent among juveniles.Impact of Social Initiatives: By correlating with historical social and legislative initiatives, one might gauge their effectiveness in curbing certain offenses.
Data last updated2024-08-01 00:00:00
Data retreival date2024-07-01 00:00:00
Datastore activeTrue
District no750
FrequencyYearly
Geo columns['state_code', 'district_code']
GranularityDistrict
Has viewsTrue
Id3f158dd4-c75f-429d-8418-f14ab7c720d9
Idp readyTrue
Lgd mappingyes
MethodologyThe data is presumably collated by the NCRB from reports sent by various police stations across states and districts in India. The crimes are categorized based on sections of the Indian Penal Code (IPC) that they correspond to.
No indicators123
Package ide311a510-ce48-4f4c-baf6-0ec5f9278285
Position11
Size2,6 MiB
Skuncrb-cii_ipc_crime_by_juveniles-dt-yr-aaa
Stateactive
States uts no36
Url typeupload
Years covered2017-2022
Methodology The data is presumably collated by the NCRB from reports sent by various police stations across states and districts in India. The crimes are categorized based on sections of the Indian Penal Code (IPC) that they correspond to.
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 2024-08-01 00:00:00
Sku ncrb-cii_ipc_crime_by_juveniles-dt-yr-aaa
Dataset Frequency Yearly
Years Covered 2017-2022
No of States/UT(s) 36
No of Districts 750
No of Tehsils/blocks
No of Gram Panchayats
Mer information nan
Number of Indicators 123
Insights from the dataset Data Insights that can be drawn:Trends over Time: With data available for multiple years, one can track the trend of specific crimes over time to ascertain if they are increasing or decreasing.Geographical Insights: By comparing crime statistics across different states and districts, regions with higher instances of specific crimes can be identified.Crime Categories: Insight into which types of crimes are most prevalent among juveniles.Impact of Social Initiatives: By correlating with historical social and legislative initiatives, one might gauge their effectiveness in curbing certain offenses.
IDP Ready Yes
LGD Mapping Yes
Mapping Status %
Geo Columns ['state_code', 'district_code']