IPC Crime by Juveniles
This dataset "Crime by Juveniles," offers an exhaustive overview of various offenses committed by juveniles across different states and districts in India. Sourced from the National Crime Records Bureau (NCRB) website, the dataset breaks down numerous crimes under different sections of the Indian Penal Code (IPC), ranging from violent crimes such as murder to cybercrimes like circulating false or fake news.
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 info | nan |
Data extraction page | https://ncrb.gov.in/crime-in-india.html |
Data insights | 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. |
Data last updated | 2024-08-01 00:00:00 |
Data retreival date | 2024-07-01 00:00:00 |
Datastore active | True |
District no | 750 |
Frequency | Yearly |
Granularity | District |
Has views | True |
Id | 3f158dd4-c75f-429d-8418-f14ab7c720d9 |
Idp ready | True |
Lgd mapping | yes |
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. |
No indicators | 123 |
Package id | e311a510-ce48-4f4c-baf6-0ec5f9278285 |
Position | 11 |
Size | 2.6 MiB |
Sku | ncrb-cii_ipc_crime_by_juveniles-dt-yr-aaa |
State | active |
States uts no | 36 |
Url type | upload |
Years covered | 2017-2022 |
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 |