Crime Trends In India (2001 - 2020)
@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020
@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020
By Rajanand Ilangovan [source]
This Dataset provides an up-to-date analysis of crime trends in India from 2001 to the present. It contains complete information about different types of crimes such as rape, murder, and theft that were committed across India. By analyzing this dataset we can determine the areas where crimes were most prevalent, what type of offenders were usually involved in the crime and which year had the highest number of registered cases. Additionally, we can also analyse which group experienced most complaints and what kind of punishments or consequences they faced like departmental enquiries, magisterial enquiries or police personnel trials completed. This data set is perfect for further research into crime trends in India and will help us better understand why certain types of crimes take place more frequently than others
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• Area Name (state or UT) where the crime was reported.
• Year in which the crime was reported.
• Subgroup (type of crime).
• Number of cases registered, number of cases reported for departmental action etc., related to a particular type of crime and state/UT.
• Number of complaints/cases declared false/unsubstantiated, number of police personnel convictions etc., related to a particular type of crime and state/UT.
• Number of cases in which offenders were others known persons to the victims, neighbours or relatives to the victims etc., related to a particular type of crime and state/UT.By studying this dataset one might explore different angles by analysing factors like:
• What are the top states with high rate criminal activities? Which areas are relatively safer?
• Are any states witnessing higher incidences than national average levels? Alternatively, are there any regions which have recorded lower rates than national average levels?
• What is trend between sub crimes across India both regional & time wise? How has it changed over time ?                                               Â  (2001-20) ;        Â
                             Movement among crimes on monthly basis during period 2001 - 2020
      Comparison among ages , genders & professions involved with Crime Rates && Timeline comparison between Types Of Crime , Crimes Involving Police Personnel Contractors in Crimes as timeline .                                      Immigration Report .     Is absolute difference btw urban & rural up from previous years ?   Open conversations about what government efforts need more focus & why . Fundamentals impacting reducing / increasing rate behind closed doors . Any impactful key insights about SelfDefence Degree given out that year highlighting decreasing / increasing amount if increase thenwhat extra activity got curated btw that law was enacted vs before enactment if possible Outliers Analysis on same murders done by pediphiles or sexual assault against women under minorities if exists
Analyzing crime trends over time by analyzing the Year, Sub_group and Area_Name columns to understand different types of crimes and patterns of criminal activity in India.
Evaluating the effectiveness of police response to different types of crimes, such as comparing the CPA_-Cases_Registered, CPA-_Cases_Reported_for_Dept.Action and CPB-_Police_PersonnelAcquitted data fields across different time periods, sub-groups and areas to assess how well law enforcement is responding to crimes reported.
Tracking changes in punishment awarded for different crimes by analyzing the CPC_-Police-Personnel_-Major-Punishment_-awarded data field for changes over time or from one geographical area to another
If you use this dataset in your research, please credit the original authors.
Data Source
License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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File: 25_Complaints_against_police.csv
| Column name | Description |
|---|---|
| Area_Name | The name of the area where the crime was reported. (String) |
| Year | The year in which the crime was reported. (Integer) |
| Sub_group | The type of crime reported. (String) |
| CPA_-_Cases_Registered | The number of cases registered for the crime. (Integer) |
| CPA_-_Cases_Reported_for_Dept._Action | The number of cases reported to the department for action. (Integer) |
| CPA_-_Complaints/Cases_Declared_False/Unsubstantiated | The number of complaints/cases declared false or unsubstantiated. (Integer) |
| CPA_-_Complaints_Received/Alleged | The number of complaints received or alleged. (Integer) |
| CPA_-_No_of_Departmental_Enquiries | The number of departmental enquiries conducted. (Integer) |
| CPA_-_No_of_Magisterial_Enquiries | The number of magisterial enquiries conducted. (Integer) |
| CPA-_Cases_Sent_for_Trials/Charge-sheeted | The number of cases sent for trial or charge-sheeted. (Integer) |
| CPA-_No_of_Judicial_Enquiries | The number of judicial enquiries conducted. (Integer) |
| CPB_-_Police_Personnel_Acquitted | The number of police personnel acquitted. (Integer) |
| CPB_-_Police_Personnel_Convicted | The number of police personnel convicted. (Integer) |
| CPB_-_Police_Personnel_sent_up_for_Trial | The number of police personnel sent up for trial. (Integer) |
| CPB_-_Police_Personnel_Trial_Completed | The number of police personnel trials completed. (Integer) |
| CPB-_Police_Personnel_Cases_Withdrawn_or_Otherwise_disposed_of | The number of police personnel cases withdrawn or otherwise disposed of. (Integer) |
| CPC_-_Police_personnel_Cases_Trial_Completed | The number of police personnel cases trial completed. (Integer) |
File: 21_Offenders_known_to_the_victim.csv
| Column name | Description |
|---|---|
| Area_Name | The name of the area where the crime was reported. (String) |
| Year | The year in which the crime was reported. (Integer) |
| No_of_Cases_in_which_offenders_were_known_to_the_Victims | The number of cases in which the offender was known to the victim. (Integer) |
| No_of_Cases_in_which_offenders_were_Neighbours | The number of cases in which the offender was a neighbour of the victim. (Integer) |
| No_of_Cases_in_which_offenders_were_Other_Known_persons | The number of cases in which the offender was an acquaintance of the victim. (Integer) |
| No_of_Cases_in_which_offenders_were_Parentsclose_family_members | The number of cases in which the offender was a parent or close family member of the victim. (Integer) |
| No_of_Cases_in_which_offenders_were_Relatives | The number of cases in which the offender was a relative of the victim. (Integer) |
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Rajanand Ilangovan.
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