Data Dictionary

Column Type Label Description
id int4 index
year text Year
state_name text State Name
state_code text State Code
district_name text District Name
district_code text District Code
registration_circles text Registration Circles
murder numeric Murder
infancticide numeric Infanticide
rape numeric Rape
assault_on_women numeric Assault On Women With Intent To Outrage Her Modesty
insult_the_modesty_of_women numeric Insult To The Modesty Of Women
kidnapping_and_abduction numeric Kidnapping And Abduction
foeticide numeric Foeticide
abetment_of_suicide_of_child numeric Abetment Of Suicide Of Child
exposure_and_abandonment numeric Exposure And Abandonment
procuration_of_minor_girls numeric Procuration Of Minor Girls
importation_of_girls_from_foreign_country numeric Importation Of Girls From Foreign Country
buying_of_minors_for_prstn numeric Buying Of Minors For Prostitution
selling_of_minors_for_prstn numeric Selling Of Minors For Prostitution
prohibition_of_child_marriage numeric Prohibition Of Child Marriage
transplantation_of_human_organs numeric Transplantation Of Human Organs
child_labour_prohibition_and_regulation numeric Child Labour (prohibition And Regulation)
immoral_traffic_prevention numeric Immoral Traffic (prevention)
justice_care_and_protection_of_children numeric Juveniles Justice (care And Protection Of Children)
protection_of_children_from_sexual_offences numeric Protection Of Children From Sexual Offences
attempt_to_commit_murder numeric Attempt To Commit Murder
unnatural_offences numeric Unnatural Offences
human_trafficking numeric Human Trafficking
other_crimes_committed_against_children numeric Other Crimes Committed Against Children

Additional Information

Field Value
Data last updated December 2, 2024
Metadata last updated December 3, 2024
Created December 2, 2024
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://ncrb.gov.in/crime-in-india.html
Data insightsThese are a few insights that can be drawn from the Crimes against children data:Trend Analysis: Examining trends over time can reveal whether child crime rates are increasing or decreasing. Identifying spikes in certain periods can prompt targeted interventions.Geographical Patterns: Analyzing data by district helps identify regions with higher child crime rates. This information can guide resource allocation and intervention strategies.Crime Types: Understanding the types of crimes committed against children, such as abuse, abduction, or child labor, helps tailor prevention and support programs.Preventive Measures: These insights support the development of preventive measures, educational campaigns, and support services to reduce crimes against children.
Data last updated01-08-2024
Data retreival date2024-07-01 00:00:00
Datastore activeTrue
District no12
FrequencyYearly
GranularityDistrict
Has viewsTrue
Idf2889665-fc3f-47ae-a74d-7d0a6bd29da5
Idp readyTrue
MethodologyData on crimes against children in each district is gathered through a collaborative effort. Law enforcement agencies, including local police, play a central role by documenting reported incidents. Child welfare organizations, NGOs, and government bodies also contribute data through surveys and studies. Medical institutions report cases when providing care to affected children. Collaboration among these stakeholders is vital for comprehensive data. Legal frameworks and protocols guide data collection, and audits ensure accuracy. Overall, this collaborative approach helps assess child protection needs and develop effective strategies at the district level.
No indicators23
Package iddb72aca9-7907-456c-a7f5-407ecd3d0fc6
Position0
Size2.9 KiB
Skuncrb-cii_crime_against_children_prv-dt-yr-him
Stateactive
States uts no1
Url typeupload
Years covered2,016
Methodology Data on crimes against children in each district is gathered through a collaborative effort. Law enforcement agencies, including local police, play a central role by documenting reported incidents. Child welfare organizations, NGOs, and government bodies also contribute data through surveys and studies. Medical institutions report cases when providing care to affected children. Collaboration among these stakeholders is vital for comprehensive data. Legal frameworks and protocols guide data collection, and audits ensure accuracy. Overall, this collaborative approach helps assess child protection needs and develop effective strategies at the district level.
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_children_prv-dt-yr-him
Dataset Frequency Yearly
Years Covered 2016.0
No of States/UT(s) 1
No of Districts 12
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 23
Insights from the dataset These are a few insights that can be drawn from the Crimes against children data:Trend Analysis: Examining trends over time can reveal whether child crime rates are increasing or decreasing. Identifying spikes in certain periods can prompt targeted interventions.Geographical Patterns: Analyzing data by district helps identify regions with higher child crime rates. This information can guide resource allocation and intervention strategies.Crime Types: Understanding the types of crimes committed against children, such as abuse, abduction, or child labor, helps tailor prevention and support programs.Preventive Measures: These insights support the development of preventive measures, educational campaigns, and support services to reduce crimes against children.
IDP Ready Yes