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_with_rape_gang_rape numeric Murder With Rape Gang Rape
dowry_deaths numeric Dowry Deaths
abetment_to_suicide_of_women numeric Abetment To Suicide Of Women
miscarriage numeric Miscarriage
acid_attack numeric Acid Attack
attempt_to_acid_attack numeric Attempt To Acid Attack
cruelty_by_husband_or_his_relatives numeric Cruelty By Husband Or His Relatives
kidnapping_and_abduction numeric Kidnapping And Abduction
kidnapping_abduction_in_order_to_murder numeric Kidnapping Abduction In Order To Murder
kidnapping_for_ransom numeric Kidnapping For Ransom
kidnp_and_abductn_of_women_above_18_for_marrg numeric Kidnapping And Abduction Of Women Above 18 For Marriage
kidnp_and_abductn_of_girls_below_18_for_marrg numeric Kidnapping And Abduction Of Girls Below 18 For Marriage
procuration_of_minor_girls numeric Procuration Of Minor Girls
importation_of_girls_from_foreign numeric Importation Of Girls From Foreign
kidnapping_and_abduction_of_women_others numeric Kidnapping And Abduction Of Women Others
human_trafficking numeric Human Trafficking
selling_of_minor_girls numeric Selling Of Minor Girls
buying_of_minor_girls numeric Buying Of Minor Girls
rape_women_above_18 numeric Rape Women Above 18
rape_girls_below_18 numeric Rape Girls Below 18
attempt_to_commit_rape_above_18 numeric Attempt To Commit Rape Above 18
attempt_to_commit_rape_girls_below_18 numeric Attempt To Commit Rape Girls Below 18
assault_on_womenabove_18 numeric Assault On Women With Intent To Outrage Her Modesty Above 18
assault_on_women_below_18 numeric Assault On Women With Intent To Outrage Her Modesty Below 18
insult_to_the_modesty_of_women_above_18 numeric Insult To The Modesty Of Women Above 18
insult_to_the_modesty_of_women_below_18 numeric Insult To The Modesty Of Women Below 18
dowry_prohibition numeric Dowry Prohibition
proc_inducng_children_for_sake_of_prosti numeric Procuring Inducing Children For The Sake Of Prostitution
detain_prsn_in_premises_where_prost_carried numeric Detaining A Person In Premises Where Prostitution Is Carried On
prosti_in_or_in_vicinity_of_pub_places numeric Prostitution In Or In The Vicinity Of Public Places
seducing_or_soliciting_for_purpose_of_prosti numeric Seducing Or Soliciting For Purpose Of Prostitution
other_sections_under_itp_act numeric Other Sections Under Itp Act
protection_of_women_from_domestic_violence numeric Protection Of Women From Domestic Violence
publshng_or_transmit_of_sexually_explicit_mtrl numeric Publishing Or Transmitting Of Sexually Explicit Material
other_women_centric_cyber_crimes numeric Other Women Centric Cyber Crimes
child_rape numeric Child Rape
sexual_assault_of_children numeric Sexual Assault Of Children
child_sexual_harassment numeric Child Sexual Harassment
use_of_child_for_pornography numeric Use Of Child For Pornography Storing Child Pornography Material
offences_of_pocso_act numeric Offences Of Pocso Act
pocso_act_unnatural_offences numeric Pocso Act Unnatural Offences
indecent_representation_of_women numeric Indecent Representation Of Women

Additional Information

Field Value
Data last updated December 3, 2024
Metadata last updated December 3, 2024
Created December 3, 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 Women data:1. Trends Over Years: Analyzing the data over different years can reveal trends in crime rates against women in various districts.2. District-wise Comparison: Comparing crime rates between districts can provide insights into regional variations in women's safety.3. Identification of High-Risk Areas: Identifying districts with higher incidences of specific crimes can help prioritize law enforcement and support services.4. Categorization of Crimes: The dataset covers a wide range of crimes, allowing for an in-depth analysis of different types of offenses against women.
Data last updated01-08-2022
Data retreival date2022-07-01 00:00:00
Datastore activeTrue
District no12
FrequencyYearly
GranularityDistrict
Has viewsTrue
Id6b1442cf-65dd-4388-8353-604500d44b13
Idp readyTrue
MethodologyThe methodology for collecting data on crimes against women in districts is multifaceted. It begins with law enforcement, where police file reports based on victim statements. Medical examinations are conducted in cases of physical violence, providing crucial evidence. Specialized counselors and NGOs offer support and often report incidents. Legal processes track cases, and a dedicated database records all data, prioritizing victim privacy. Periodic audits maintain data accuracy. This comprehensive approach ensures the thorough documentation of crimes against women, enabling informed policymaking and targeted interventions for women's safety and rights.
No indicators42
Package iddb72aca9-7907-456c-a7f5-407ecd3d0fc6
Position15
Size22.9 KiB
Skuncrb-cii_crime_against_women_rct-dt-yr-him
Stateactive
States uts no1
Url typeupload
Years covered2017-2022
Methodology The methodology for collecting data on crimes against women in districts is multifaceted. It begins with law enforcement, where police file reports based on victim statements. Medical examinations are conducted in cases of physical violence, providing crucial evidence. Specialized counselors and NGOs offer support and often report incidents. Legal processes track cases, and a dedicated database records all data, prioritizing victim privacy. Periodic audits maintain data accuracy. This comprehensive approach ensures the thorough documentation of crimes against women, enabling informed policymaking and targeted interventions for women's safety and rights.
Similar Resources
Granularity Level District
Data Extraction Page https://ncrb.gov.in/crime-in-india.html
Data Retreival Date 2022-07-01 00:00:00
Data Last Updated 01-08-2022
Sku ncrb-cii_crime_against_women_rct-dt-yr-him
Dataset Frequency Yearly
Years Covered 2017-2022
No of States/UT(s) 1
No of Districts 12
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 42
Insights from the dataset These are a few insights that can be drawn from the Crimes against Women data:1. Trends Over Years: Analyzing the data over different years can reveal trends in crime rates against women in various districts.2. District-wise Comparison: Comparing crime rates between districts can provide insights into regional variations in women's safety.3. Identification of High-Risk Areas: Identifying districts with higher incidences of specific crimes can help prioritize law enforcement and support services.4. Categorization of Crimes: The dataset covers a wide range of crimes, allowing for an in-depth analysis of different types of offenses against women.
IDP Ready Yes