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
district_name
Type
text
Label
District Name

ID
district_code
Type
text
Label
District Code

ID
registration_circles
Type
text
Label
Registration Circles

ID
murder
Type
numeric
Label
Murder

ID
hit_and_run
Type
numeric
Label
Hit And Run

ID
other_accidents
Type
numeric
Label
Other Accidents

ID
death_due_to_med_neglnc
Type
numeric
Label
Death Due To Med Negligence

ID
dowry_death
Type
numeric
Label
Dowry Death

ID
abetment_of_suicide
Type
numeric
Label
Abetment Of Suicide

ID
attempt_to_commit_muder
Type
numeric
Label
Attempt To Commit Muder

ID
other_simple_hurt
Type
numeric
Label
Other Simple Hurt

ID
acid_attack
Type
numeric
Label
Acid Attack

ID
other_grievous_hurt
Type
numeric
Label
Other Grievous Hurt

ID
assault_on_women
Type
numeric
Label
Assault On Women

ID
sexual_harassment_at_work
Type
numeric
Label
Sexual Harassment At Work

ID
voyeurism
Type
numeric
Label
Voyeurism

ID
stalking
Type
numeric
Label
Stalking

ID
kidnapping_foe_ransom
Type
numeric
Label
Kidnapping Foe Ransom

ID
human_trafficking
Type
numeric
Label
Human Trafficking

ID
rape
Type
numeric
Label
Rape

ID
attempt_to_commit_rape
Type
numeric
Label
Attempt To Commit Rape

ID
unnatural_offences
Type
numeric
Label
Unnatural Offences

ID
offence_against_state_other
Type
numeric
Label
Offence Against State Other

ID
rioting_communal_religious
Type
numeric
Label
Rioting Communal Religious

ID
rioting_sectarian
Type
numeric
Label
Rioting Sectarian

ID
rioting_industrial
Type
numeric
Label
Rioting Industrial

ID
rioting_political
Type
numeric
Label
Rioting Political

ID
rioting_caste_conflict
Type
numeric
Label
Rioting Caste Conflict

ID
rioting_agrarian
Type
numeric
Label
Rioting Agrarian

ID
rioting_students
Type
numeric
Label
Rioting Students

ID
rioting_vigilants
Type
numeric
Label
Rioting Vigilants

ID
money_dispute_rioting
Type
numeric
Label
Money Dispute Rioting

ID
water_dispute_rioting
Type
numeric
Label
Water Dispute Rioting

ID
family_dispute_rioting
Type
numeric
Label
Family Dispute Rioting

ID
enmity_rivalry_rioting
Type
numeric
Label
Enmity Rivalry Rioting

ID
other_rioting
Type
numeric
Label
Other Rioting

ID
affray
Type
numeric
Label
Affray

ID
auto_motor_vehicle_theft
Type
numeric
Label
Auto/motor Vehicle Theft

ID
other_thefts
Type
numeric
Label
Other Thefts

ID
day_time
Type
numeric
Label
Day Time

ID
night
Type
numeric
Label
Night

ID
robbery
Type
numeric
Label
Robbery (sec.392/394/397 Ipc)

ID
dacoity
Type
numeric
Label
A) Dacoity (sec.395/397 Ipc)

ID
dacoity_with_murder
Type
numeric
Label
B) Dacoity With Murder (sec.396 Ipc)

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

ID
criminal_breach_of_trust
Type
numeric
Label
Criminal Breach Of Trust (sec.406 To 409 Ipc)

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

ID
bank
Type
numeric
Label
Bank

ID
atms
Type
numeric
Label
Atms

ID
other_frauds
Type
numeric
Label
Other Frauds

ID
cheating
Type
numeric
Label
Cheating

ID
forgery
Type
numeric
Label
Forgery

ID
harbouring_an_offender
Type
numeric
Label
Harbouring An Offender (sec.212/216/216a Ipc)

ID
arson
Type
numeric
Label
Arson (sec.435, 436 And 438 Ipc)

ID
criminal_trespass
Type
numeric
Label
Criminal Trespass (sec.447 To 452 Ipc)

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

ID
other_ipc_crimes
Type
numeric
Label
Other Ipc Crimes

Additional Information

Field Value
Data last updated September 4, 2024
Metadata last updated September 5, 2024
Created September 4, 2024
Format CSV
License No License Provided
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
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
Additional 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