Baselight

Crime Trends In India (2001 - 2020)

A Statistical Overview of Criminal Victimization and Offender Action

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020

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About this Dataset

Crime Trends In India (2001 - 2020)


Crime Trends in India from 2001 to 2020

A Statistical Overview of Criminal Victimization and Offender Action

By Rajanand Ilangovan [source]


About this dataset

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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How to use the dataset

• 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 ?                                               ­­­  (2001-20) ;          
                              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

Research Ideas

  • 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

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

  • You are free to:
    • Share - copy and redistribute the material in any medium or format for any purpose, even commercially.
    • Adapt - remix, transform, and build upon the material for any purpose, even commercially.
  • You must:
    • Give appropriate credit - Provide a link to the license, and indicate if changes were made.
    • ShareAlike - You must distribute your contributions under the same license as the original.

Columns

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)

Acknowledgements

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.

Tables

N 01 District Wise Crimes Committed Ipc 2001–2012

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_01_district_wise_crimes_committed_ipc_2001_2012
  • 476.6 KB
  • 9017 rows
  • 34 columns
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CREATE TABLE n_01_district_wise_crimes_committed_ipc_2001_2012 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "murder" BIGINT,
  "attempt_to_murder" BIGINT,
  "culpable_homicide_not_amounting_to_murder" BIGINT,
  "rape" BIGINT,
  "custodial_rape" BIGINT,
  "other_rape" BIGINT,
  "kidnapping_abduction" BIGINT,
  "kidnapping_and_abduction_of_women_and_girls" BIGINT,
  "kidnapping_and_abduction_of_others" BIGINT,
  "dacoity" BIGINT,
  "preparation_and_assembly_for_dacoity" BIGINT,
  "robbery" BIGINT,
  "burglary" BIGINT,
  "theft" BIGINT,
  "auto_theft" BIGINT,
  "other_theft" BIGINT,
  "riots" BIGINT,
  "criminal_breach_of_trust" BIGINT,
  "cheating" BIGINT,
  "counterfieting" BIGINT,
  "arson" BIGINT,
  "hurt_grevious_hurt" BIGINT,
  "dowry_deaths" BIGINT,
  "assault_on_women_with_intent_to_outrage_her_modesty" BIGINT,
  "insult_to_modesty_of_women" BIGINT,
  "cruelty_by_husband_or_his_relatives" BIGINT,
  "importation_of_girls_from_foreign_countries" BIGINT,
  "causing_death_by_negligence" BIGINT,
  "other_ipc_crimes" BIGINT,
  "total_ipc_crimes" BIGINT
);

N 01 District Wise Crimes Committed Ipc 2013

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_01_district_wise_crimes_committed_ipc_2013
  • 89.48 KB
  • 823 rows
  • 34 columns
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CREATE TABLE n_01_district_wise_crimes_committed_ipc_2013 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "murder" BIGINT,
  "attempt_to_murder" BIGINT,
  "culpable_homicide_not_amounting_to_murder" BIGINT,
  "rape" BIGINT,
  "custodial_rape" BIGINT,
  "other_rape" BIGINT,
  "kidnapping_abduction" BIGINT,
  "kidnapping_and_abduction_of_women_and_girls" BIGINT,
  "kidnapping_and_abduction_of_others" BIGINT,
  "dacoity" BIGINT,
  "preparation_and_assembly_for_dacoity" BIGINT,
  "robbery" BIGINT,
  "burglary" BIGINT,
  "theft" BIGINT,
  "auto_theft" BIGINT,
  "other_theft" BIGINT,
  "riots" BIGINT,
  "criminal_breach_of_trust" BIGINT,
  "cheating" BIGINT,
  "counterfieting" BIGINT,
  "arson" BIGINT,
  "hurt_grevious_hurt" BIGINT,
  "dowry_deaths" BIGINT,
  "assault_on_women_with_intent_to_outrage_her_modesty" BIGINT,
  "insult_to_modesty_of_women" BIGINT,
  "cruelty_by_husband_or_his_relatives" BIGINT,
  "importation_of_girls_from_foreign_countries" BIGINT,
  "causing_death_by_negligence" BIGINT,
  "other_ipc_crimes" BIGINT,
  "total_ipc_crimes" BIGINT
);

N 01 District Wise Crimes Committed Ipc 2014

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_01_district_wise_crimes_committed_ipc_2014
  • 177.74 KB
  • 838 rows
  • 92 columns
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CREATE TABLE n_01_district_wise_crimes_committed_ipc_2014 (
  "index" BIGINT,
  "states_uts" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "murder" BIGINT,
  "attempt_to_commit_murder" BIGINT,
  "culpable_homicide_not_amounting_to_murder" BIGINT,
  "attempt_to_commit_culpable_homicide" BIGINT,
  "rape" BIGINT,
  "custodial_rape" BIGINT,
  "custodial_gang_rape" BIGINT,
  "custodial_other_rape" BIGINT,
  "rape_other_than_custodial" BIGINT,
  "rape_gang_rape" BIGINT,
  "rape_others" BIGINT,
  "attempt_to_commit_rape" BIGINT,
  "kidnapping_abduction_total" BIGINT,
  "kidnapping_abduction" BIGINT,
  "kidnapping_abduction_in_order_to_murder" BIGINT,
  "kidnapping_for_ransom" BIGINT,
  "kidnapping_abduction_of_women_to_compel_her_for_marriage" BIGINT,
  "other_kidnapping" BIGINT,
  "dacoity" BIGINT,
  "dacoity_with_murder" BIGINT,
  "other_dacoity" BIGINT,
  "making_preparation_and_assembly_for_committing_dacoity" BIGINT,
  "robbery" BIGINT,
  "criminal_trespass_burglary" BIGINT,
  "criminal_trespass_or_burglary" BIGINT,
  "house_trespass_house_breaking" BIGINT,
  "theft" BIGINT,
  "auto_theft" BIGINT,
  "other_thefts" BIGINT,
  "unlawful_assembly" BIGINT,
  "riots" BIGINT,
  "riots_communal" BIGINT,
  "riots_industrial" BIGINT,
  "riots_political" BIGINT,
  "riots_caste_conflict" BIGINT,
  "riots_sc_sts_vs_non_scs_sts" BIGINT,
  "riots_other_caste_conflict" BIGINT,
  "riots_agrarian" BIGINT,
  "riots_students" BIGINT,
  "riots_sectarian" BIGINT,
  "riots_others" BIGINT,
  "criminal_breach_of_trust" BIGINT,
  "cheating" BIGINT,
  "forgery" BIGINT,
  "counterfeiting" BIGINT,
  "counterfeit_offences_related_to_counterfeit_coin" BIGINT,
  "counterfeiting_government_stamp" BIGINT,
  "counterfeit_currency_bank_notes" BIGINT,
  "counterfeiting_currency_notes_bank_notes" BIGINT,
  "using_forged_or_counterfeiting_currency_bank_notes" BIGINT,
  "possession_of_forged_or_counterfeiting_currency_bank_notes" BIGINT,
  "making_or_possessing_materials_for_forged_currency_bank_notes" BIGINT,
  "making_or_using_documents_resembling_currency" BIGINT,
  "arson" BIGINT,
  "grievous_hurt" BIGINT,
  "hurt" BIGINT,
  "acid_attack" BIGINT,
  "attempt_to_acid_attack" BIGINT,
  "dowry_deaths" BIGINT,
  "assault_on_women_with_intent_to_outrage_her_modesty" BIGINT,
  "sexual_harassment" BIGINT,
  "assault_or_use_of_criminal_force_to_women_with_intent__10cddfcd" BIGINT,
  "voyeurism" BIGINT,
  "stalking" BIGINT,
  "other_assault_on_women" BIGINT,
  "insult_to_the_modesty_of_women" BIGINT,
  "at_office_premises" BIGINT,
  "other_places_related_to_work" BIGINT,
  "in_public_transport_system" BIGINT,
  "places_other_than_231_232_233" BIGINT,
  "cruelty_by_husband_or_his_relatives" BIGINT,
  "importation_of_girls_from_foreign_country" BIGINT,
  "causing_death_by_negligence" BIGINT,
  "deaths_due_to_negligent_driving_act" BIGINT,
  "deaths_due_to_other_causes" BIGINT,
  "offences_against_state" BIGINT,
  "sedition" BIGINT,
  "other_offences_against_state" BIGINT,
  "offences_promoting_enmity_between_different_groups" BIGINT,
  "promoting_enmity_between_different_groups" BIGINT,
  "imputation_assertions_prejudicial_to_national_integration" BIGINT,
  "extortion" BIGINT,
  "disclosure_of_identity_of_victims" BIGINT,
  "incidence_of_rash_driving" BIGINT,
  "humantrafficking" BIGINT,
  "unnatural_offence" BIGINT,
  "other_ipc_crimes" BIGINT,
  "total_cognizable_ipc_crimes" BIGINT
);

N 02–01 District Wise Crimes Committed Against Sc 2001–2012

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_02_01_district_wise_crimes_committed_against_sc_2001_2012
  • 124.08 KB
  • 9018 rows
  • 14 columns
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CREATE TABLE n_02_01_district_wise_crimes_committed_against_sc_2001_2012 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "murder" BIGINT,
  "rape" BIGINT,
  "kidnapping_and_abduction" BIGINT,
  "dacoity" BIGINT,
  "robbery" BIGINT,
  "arson" BIGINT,
  "hurt" BIGINT,
  "prevention_of_atrocities_poa_act" BIGINT,
  "protection_of_civil_rights_pcr_act" BIGINT,
  "other_crimes_against_scs" BIGINT
);

N 02–01 District Wise Crimes Committed Against Sc 2013

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_02_01_district_wise_crimes_committed_against_sc_2013
  • 28.13 KB
  • 823 rows
  • 14 columns
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CREATE TABLE n_02_01_district_wise_crimes_committed_against_sc_2013 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "murder" BIGINT,
  "rape" BIGINT,
  "kidnapping_and_abduction" BIGINT,
  "dacoity" BIGINT,
  "robbery" BIGINT,
  "arson" BIGINT,
  "hurt" BIGINT,
  "protection_of_civil_rights_pcr_act" BIGINT,
  "prevention_of_atrocities_poa_act" BIGINT,
  "other_crimes_against_scs" BIGINT
);

N 02–01 District Wise Crimes Committed Against Sc 2014

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_02_01_district_wise_crimes_committed_against_sc_2014
  • 83.99 KB
  • 837 rows
  • 67 columns
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CREATE TABLE n_02_01_district_wise_crimes_committed_against_sc_2014 (
  "index" BIGINT,
  "states_uts" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "protection_of_civil_rights_act_1955" BIGINT,
  "poa_murder" BIGINT,
  "poa_attempt_to_commit_murder" BIGINT,
  "poa_rape" BIGINT,
  "poa_attempt_to_commit_rape" BIGINT,
  "poa_assault_on_women_with_intent_to_outrage_her_modesty" BIGINT,
  "poa_sexual_harassment" BIGINT,
  "poa_assault_on_women_with_intent_to_disrobe" BIGINT,
  "poa_voyeurism" BIGINT,
  "poa_stalking" BIGINT,
  "poa_other_sexual_harassment" BIGINT,
  "poa_insult_to_the_modesty_of_women" BIGINT,
  "poa_kidnapping_abduction_grandtotal" BIGINT,
  "poa_kidnaping_abduction_total" BIGINT,
  "poa_kidnaping_abduction_in_order_to_murder" BIGINT,
  "poa_kidnapping_for_ransom" BIGINT,
  "poa_kidnapping_abduction_of_women_to_compel_her_for_marriage" BIGINT,
  "poa_other_kidnapping" BIGINT,
  "poa_dacoity" BIGINT,
  "poa_dacoity_with_murder" BIGINT,
  "poa_other_dacoity" BIGINT,
  "poa_robbery" BIGINT,
  "poa_arson" BIGINT,
  "poa_grievous_hurt" BIGINT,
  "poa_hurt" BIGINT,
  "poa_acid_attack" BIGINT,
  "poa_attempt_to_acid_attack" BIGINT,
  "poa_riots" BIGINT,
  "poa_other_ipc_crimes" BIGINT,
  "poa_sc_st_prevention_of_atrocities_act_only" BIGINT,
  "total_of_sc_st_prevention_of_atrocities_act_1989" BIGINT,
  "ipc_murder" BIGINT,
  "ipc_attempt_to_commit_murder" BIGINT,
  "ipc_rape" BIGINT,
  "ipc_attempt_to_commit_rape" BIGINT,
  "ipc_assault_on_women_with_intent_to_outrage_her_modesty" BIGINT,
  "ipc_sexual_harassment" BIGINT,
  "ipc_assault_on_women_with_intent_to_disrobe" BIGINT,
  "ipc_voyeurism" BIGINT,
  "ipc_stalking" BIGINT,
  "ipc_other_sexual_harassment" BIGINT,
  "ipc_insult_to_the_modesty_of_women" BIGINT,
  "ipc_kidnapping_abduction" BIGINT,
  "ipc_kidnaping_abduction" BIGINT,
  "ipc_kidnaping_abduction_in_order_to_murder" BIGINT,
  "ipc_kidnapping_for_ransom" BIGINT,
  "ipc_kidnapping_abduction_of_women_to_compel_her_for_marriage" BIGINT,
  "ipc_other_kidnapping" BIGINT,
  "ipc_dacoity" BIGINT,
  "ipc_dacoity_with_murder" BIGINT,
  "ipc_other_dacoity" BIGINT,
  "ipc_robbery" BIGINT,
  "ipc_arson" BIGINT,
  "ipc_grievous_hurt" BIGINT,
  "ipc_hurt" BIGINT,
  "ipc_acid_attack" BIGINT,
  "ipc_attempt_to_acid_attack" BIGINT,
  "ipc_riots" BIGINT,
  "ipc_other_ipc_crimes" BIGINT,
  "total_ipc_crimes_against_scs" BIGINT,
  "manual_scavengers_and_construction_of_dry_latrines_p_act_1993" BIGINT,
  "other_sll_crime_against_scs" BIGINT,
  "total_crimes_against_scs" BIGINT
);

N 02 District Wise Crimes Committed Against St 2001–2012

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_02_district_wise_crimes_committed_against_st_2001_2012
  • 100.61 KB
  • 9018 rows
  • 14 columns
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CREATE TABLE n_02_district_wise_crimes_committed_against_st_2001_2012 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "murder" BIGINT,
  "rape" BIGINT,
  "kidnapping_abduction" BIGINT,
  "dacoity" BIGINT,
  "robbery" BIGINT,
  "arson" BIGINT,
  "hurt" BIGINT,
  "protection_of_civil_rights_pcr_act" BIGINT,
  "prevention_of_atrocities_poa_act" BIGINT,
  "other_crimes_against_sts" BIGINT
);

N 02 District Wise Crimes Committed Against St 2013

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_02_district_wise_crimes_committed_against_st_2013
  • 25.49 KB
  • 823 rows
  • 14 columns
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CREATE TABLE n_02_district_wise_crimes_committed_against_st_2013 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "murder" BIGINT,
  "rape" BIGINT,
  "kidnapping_abduction" BIGINT,
  "dacoity" BIGINT,
  "robbery" BIGINT,
  "arson" BIGINT,
  "hurt" BIGINT,
  "protection_of_civil_rights_pcr_act" BIGINT,
  "prevention_of_atrocities_poa_act" BIGINT,
  "other_crimes_against_sts" BIGINT
);

N 02 District Wise Crimes Committed Against St 2014

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_02_district_wise_crimes_committed_against_st_2014
  • 76.28 KB
  • 837 rows
  • 67 columns
Loading...

CREATE TABLE n_02_district_wise_crimes_committed_against_st_2014 (
  "index" BIGINT,
  "states_uts" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "protection_of_civil_rights_act_1955" BIGINT,
  "poa_murder" BIGINT,
  "poa_attempt_to_commit_murder" BIGINT,
  "poa_rape" BIGINT,
  "poa_attempt_to_commit_rape" BIGINT,
  "poa_assault_on_women_with_intent_to_outrage_her_modesty" BIGINT,
  "poa_sexual_harassment" BIGINT,
  "poa_assault_on_women_with_intent_to_disrobe" BIGINT,
  "poa_voyeurism" BIGINT,
  "poa_stalking" BIGINT,
  "poa_other_sexual_harassment" BIGINT,
  "poa_insult_to_the_modesty_of_women" BIGINT,
  "poa_kidnapping_abduction_grandtotal" BIGINT,
  "poa_kidnaping_abduction_total" BIGINT,
  "poa_kidnaping_abduction_in_order_to_murder" BIGINT,
  "poa_kidnapping_for_ransom" BIGINT,
  "poa_kidnapping_abduction_of_women_to_compel_her_for_marriage" BIGINT,
  "poa_other_kidnapping" BIGINT,
  "poa_dacoity" BIGINT,
  "poa_dacoity_with_murder" BIGINT,
  "poa_other_dacoity" BIGINT,
  "poa_robbery" BIGINT,
  "poa_arson" BIGINT,
  "poa_grievous_hurt" BIGINT,
  "poa_hurt" BIGINT,
  "poa_acid_attack" BIGINT,
  "poa_attempt_to_acid_attack" BIGINT,
  "poa_riots" BIGINT,
  "poa_other_ipc_crimes" BIGINT,
  "poa_sc_st_prevention_of_atrocities_act_only" BIGINT,
  "total_of_sc_st_prevention_of_atrocities_act_1989" BIGINT,
  "ipc_murder" BIGINT,
  "ipc_attempt_to_commit_murder" BIGINT,
  "ipc_rape" BIGINT,
  "ipc_attempt_to_commit_rape" BIGINT,
  "ipc_assault_on_women_with_intent_to_outrage_her_modesty" BIGINT,
  "ipc_sexual_harassment" BIGINT,
  "ipc_assault_on_women_with_intent_to_disrobe" BIGINT,
  "ipc_voyeurism" BIGINT,
  "ipc_stalking" BIGINT,
  "ipc_other_sexual_harassment" BIGINT,
  "ipc_insult_to_the_modesty_of_women" BIGINT,
  "ipc_kidnapping_abduction" BIGINT,
  "ipc_kidnaping_abduction" BIGINT,
  "ipc_kidnaping_abduction_in_order_to_murder" BIGINT,
  "ipc_kidnapping_for_ransom" BIGINT,
  "ipc_kidnapping_abduction_of_women_to_compel_her_for_marriage" BIGINT,
  "ipc_other_kidnapping" BIGINT,
  "ipc_dacoity" BIGINT,
  "ipc_dacoity_with_murder" BIGINT,
  "ipc_other_dacoity" BIGINT,
  "ipc_robbery" BIGINT,
  "ipc_arson" BIGINT,
  "ipc_grievous_hurt" BIGINT,
  "ipc_hurt" BIGINT,
  "ipc_acid_attack" BIGINT,
  "ipc_attempt_to_acid_attack" BIGINT,
  "ipc_riots" BIGINT,
  "ipc_other_ipc_crimes" BIGINT,
  "total_ipc_crimes_against_sts" BIGINT,
  "manual_scavengers_and_construction_of_dry_latrines_p_act_1993" BIGINT,
  "other_sll_crime_against_sts" BIGINT,
  "total_crimes_against_sts" BIGINT
);

N 03 District Wise Crimes Committed Against Children 2001–2012

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_03_district_wise_crimes_committed_against_children_2001_2012
  • 132.24 KB
  • 9015 rows
  • 16 columns
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CREATE TABLE n_03_district_wise_crimes_committed_against_children_2001_2012 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "murder" DOUBLE,
  "rape" DOUBLE,
  "kidnapping_and_abduction" DOUBLE,
  "foeticide" DOUBLE,
  "abetment_of_suicide" DOUBLE,
  "exposure_and_abandonment" DOUBLE,
  "procuration_of_minor_girls" DOUBLE,
  "buying_of_girls_for_prostitution" DOUBLE,
  "selling_of_girls_for_prostitution" DOUBLE,
  "prohibition_of_child_marriage_act" DOUBLE,
  "other_crimes" DOUBLE,
  "total" BIGINT
);

N 03 District Wise Crimes Committed Against Children 2013

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_03_district_wise_crimes_committed_against_children_2013
  • 33.68 KB
  • 823 rows
  • 17 columns
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CREATE TABLE n_03_district_wise_crimes_committed_against_children_2013 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "infanticid" BIGINT,
  "other_murder" BIGINT,
  "rape" BIGINT,
  "kidnapping_and_abduction" BIGINT,
  "foeticide" BIGINT,
  "abetment_of_suicide" BIGINT,
  "exposure_and_abandonment" BIGINT,
  "procuration_of_minor_girls" BIGINT,
  "buying_of_girls_for_prostitution" BIGINT,
  "selling_of_girls_for_prostitution" BIGINT,
  "prohibition_of_child_marriage_act" BIGINT,
  "other_crimes" BIGINT,
  "total" BIGINT
);

N 03 Persons Arrested And Their Disposal By Police And Fea05944

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_03_persons_arrested_and_their_disposal_by_police_and_fea05944
  • 28.99 KB
  • 494 rows
  • 15 columns
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CREATE TABLE n_03_persons_arrested_and_their_disposal_by_police_and_fea05944 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "crime_head" VARCHAR,
  "persons_in_custody_or_on_bail_during_the_stage_of_inve_68051b9b" BIGINT,
  "persons_arrested_during_the_year" BIGINT,
  "persons_released_or_freed_by_police_or_magistrate_befo_efa0e070" BIGINT,
  "persons_in_custody_or_on_bail_during_the_stage_of_inve_05a9d1c5" BIGINT,
  "persons_in_whose_cases_charge_sheets_were_laid_during_the_year" BIGINT,
  "persons_under_trial_at_the_beginning_of_the_year" BIGINT,
  "total_number_of_persons_under_trial_during_the_year" BIGINT,
  "persons_against_whom_cases_were_compounded_or_withdrawn" BIGINT,
  "persons_in_custody_or_on_bail_during_the_stage_of_tria_340bbb57" BIGINT,
  "persons_in_whose_cases_trials_were_completed_during_the_year" BIGINT,
  "persons_convicted" BIGINT,
  "persons_acquitted" BIGINT
);

N 03 Persons Arrested And Their Disposal By Police And 7e201ad0

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_03_persons_arrested_and_their_disposal_by_police_and_7e201ad0
  • 29.17 KB
  • 494 rows
  • 15 columns
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CREATE TABLE n_03_persons_arrested_and_their_disposal_by_police_and_7e201ad0 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "crime_head" VARCHAR,
  "persons_in_custody_or_on_bail_during_the_stage_of_inve_68051b9b" BIGINT,
  "persons_arrested_during_the_year" BIGINT,
  "persons_released_or_freed_by_police_or_magistrate_befo_efa0e070" BIGINT,
  "persons_in_custody_or_on_bail_during_the_stage_of_inve_05a9d1c5" BIGINT,
  "persons_in_whose_cases_charge_sheets_were_laid_during_the_year" BIGINT,
  "persons_under_trial_at_the_beginning_of_the_year" BIGINT,
  "total_number_of_persons_under_trial_during_the_year" BIGINT,
  "persons_against_whom_cases_were_compounded_or_withdrawn" BIGINT,
  "persons_in_custody_or_on_bail_during_the_stage_of_tria_340bbb57" BIGINT,
  "persons_in_whose_cases_trials_were_completed_during_the_year" BIGINT,
  "persons_convicted" BIGINT,
  "persons_acquitted" BIGINT
);

N 03 Persons Arrested And Their Disposal By Police And 6ed108b0

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_03_persons_arrested_and_their_disposal_by_police_and_6ed108b0
  • 146.15 KB
  • 2028 rows
  • 58 columns
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CREATE TABLE n_03_persons_arrested_and_their_disposal_by_police_and_6ed108b0 (
  "index" BIGINT,
  "states_uts" VARCHAR,
  "crime_head" VARCHAR,
  "year" BIGINT,
  "persons_in_custody_during_inv_stage_at_beginning_of_year_male" BIGINT,
  "persons_in_custody_during_inv_stage_at_beginning_of_year_female" BIGINT,
  "persons_in_custody_during_inv_stage_at_beginning_of_year_total" BIGINT,
  "persons_on_bail_during_inv_stage_at_beginning_of_year_male" BIGINT,
  "persons_on_bail_during_inv_stage_at_beginning_of_year_female" BIGINT,
  "persons_on_bail_during_inv_stage_at_beginning_of_year_total" BIGINT,
  "persons_arrested_during_the_year_male" BIGINT,
  "persons_arrested_during_the_year_female" BIGINT,
  "persons_arrested_during_the_year_total" BIGINT,
  "persons_released_or_freed_before_trial_for_want_of_evi_e1bc6961" BIGINT,
  "persons_released_or_freed_before_trial_for_want_of_evidence_fem" BIGINT,
  "persons_released_or_freed_before_trial_for_want_of_evidence_tot" BIGINT,
  "persons_in_custody_during_inv_stage_at_year_end_male" BIGINT,
  "persons_in_custody_during_inv_stage_at_year_end_female" BIGINT,
  "persons_in_custody_during_inv_stage_at_year_end_total" BIGINT,
  "persons_on_bail_during_inv_stage_at_year_end_male" BIGINT,
  "persons_on_bail_during_inv_stage_at_year_end_female" BIGINT,
  "persons_on_bail_during_inv_stage_at_year_end_total" BIGINT,
  "persons_charge_sheeted_male" BIGINT,
  "persons_charge_sheeted_female" BIGINT,
  "persons_charge_sheeted_total" BIGINT,
  "persons_in_custody_during_trial_stage_at_begin_of_year_male" BIGINT,
  "persons_in_custody_during_trial_stage_at_begin_of_year_female" BIGINT,
  "persons_in_custody_during_trial_stage_at_begin_of_year_total" BIGINT,
  "persons_on_bail_during_trial_stage_at_begin_of_year_male" BIGINT,
  "persons_on_bail_during_trial_stage_at_begin_of_year_female" BIGINT,
  "persons_on_bail_during_trial_stage_at_begin_of_year_total" BIGINT,
  "total_number_of_persons_under_trial_male" BIGINT,
  "total_number_of_persons_under_trial_female" BIGINT,
  "total_number_of_persons_under_trial_total" BIGINT,
  "persons_against_whom_cases_were_compounded_by_courts_male" BIGINT,
  "persons_against_whom_cases_were_compounded_by_courts_female" BIGINT,
  "persons_against_whom_cases_were_compounded_by_courts_total" BIGINT,
  "persons_against_whom_cases_were_withdrawn_male" BIGINT,
  "persons_against_whom_cases_were_withdrawn_female" BIGINT,
  "persons_against_whom_cases_were_withdrawn_total" BIGINT,
  "persons_in_custody_during_trial_stage_at_year_end_male" BIGINT,
  "persons_in_custody_during_trial_stage_at_year_end_female" BIGINT,
  "persons_in_custody_during_trial_stage_at_year_end_total" BIGINT,
  "persons_on_bail_during_trial_stage_at_year_end_male" BIGINT,
  "persons_on_bail_during_trial_stage_at_year_end_female" BIGINT,
  "persons_on_bail_during_trial_stage_at_year_end_total" BIGINT,
  "persons_whose_cases_trials_were_completed_during_the_year_male" BIGINT,
  "persons_whose_cases_trials_were_completed_during_the_y_ed32adbc" BIGINT,
  "persons_whose_cases_trials_were_completed_during_the_year_total" BIGINT,
  "persons_convicted_male" BIGINT,
  "persons_convicted_female" BIGINT,
  "persons_convicted_total" BIGINT,
  "persons_acquitted_male" BIGINT,
  "persons_acquitted_female" BIGINT,
  "persons_acquitted_total" BIGINT,
  "persons_discharged_by_court_male" BIGINT,
  "persons_discharged_by_court_female" BIGINT,
  "persons_discharged_by_court_total" BIGINT
);

N 04–01 Person Arrested And Their Disposal By Police A 9dfccd11

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_04_01_person_arrested_and_their_disposal_by_police_a_9dfccd11
  • 49.46 KB
  • 1026 rows
  • 15 columns
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CREATE TABLE n_04_01_person_arrested_and_their_disposal_by_police_a_9dfccd11 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "crime_head" VARCHAR,
  "persons_in_custody_or_on_bail_during_the_stage_of_inve_68051b9b" BIGINT,
  "persons_arrested_during_the_year" BIGINT,
  "persons_released_or_freed_by_police_or_magistrate_befo_efa0e070" BIGINT,
  "persons_in_custody_or_on_bail_during_the_stage_of_inve_05a9d1c5" BIGINT,
  "persons_in_whose_cases_charge_sheets_were_laid_during_the_year" BIGINT,
  "persons_under_trial_at_the_beginning_of_the_year" BIGINT,
  "total_number_of_persons_under_trial_during_the_year" BIGINT,
  "persons_against_whom_cases_were_compounded_or_withdrawn" BIGINT,
  "persons_in_custody_or_on_bail_during_the_stage_of_tria_340bbb57" BIGINT,
  "persons_in_whose_cases_trials_were_completed_during_the_year" BIGINT,
  "persons_convicted" BIGINT,
  "persons_acquitted" BIGINT
);

N 04–01 Person Arrested And Their Disposal By Police A 6f8e2765

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_04_01_person_arrested_and_their_disposal_by_police_a_6f8e2765
  • 27.43 KB
  • 418 rows
  • 15 columns
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CREATE TABLE n_04_01_person_arrested_and_their_disposal_by_police_a_6f8e2765 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "crime_head" VARCHAR,
  "persons_in_custody_or_on_bail_during_the_stage_of_inve_68051b9b" BIGINT,
  "persons_arrested_during_the_year" BIGINT,
  "persons_released_or_freed_by_police_or_magistrate_befo_efa0e070" BIGINT,
  "persons_in_custody_or_on_bail_during_the_stage_of_inve_05a9d1c5" BIGINT,
  "persons_in_whose_cases_charge_sheets_were_laid_during_the_year" BIGINT,
  "persons_under_trial_at_the_beginning_of_the_year" BIGINT,
  "total_number_of_persons_under_trial_during_the_year" BIGINT,
  "persons_against_whom_cases_were_compounded_or_withdrawn" BIGINT,
  "persons_in_custody_or_on_bail_during_the_stage_of_tria_340bbb57" BIGINT,
  "persons_in_whose_cases_trials_were_completed_during_the_year" BIGINT,
  "persons_convicted" BIGINT,
  "persons_acquitted" BIGINT
);

N 04–01 Person Arrested And Their Disposal By Police A 1a9d3577

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_04_01_person_arrested_and_their_disposal_by_police_a_1a9d3577
  • 199.07 KB
  • 2730 rows
  • 58 columns
Loading...

CREATE TABLE n_04_01_person_arrested_and_their_disposal_by_police_a_1a9d3577 (
  "index" BIGINT,
  "states_uts" VARCHAR,
  "crime_head" VARCHAR,
  "year" BIGINT,
  "persons_in_custody_during_inv_stage_at_beginning_of_year_male" BIGINT,
  "persons_in_custody_during_inv_stage_at_beginning_of_year_female" BIGINT,
  "persons_in_custody_during_inv_stage_at_beginning_of_year_total" BIGINT,
  "persons_on_bail_during_inv_stage_at_beginning_of_year_male" BIGINT,
  "persons_on_bail_during_inv_stage_at_beginning_of_year_female" BIGINT,
  "persons_on_bail_during_inv_stage_at_beginning_of_year_total" BIGINT,
  "persons_arrested_during_the_year_male" BIGINT,
  "persons_arrested_during_the_year_female" BIGINT,
  "persons_arrested_during_the_year_total" BIGINT,
  "persons_released_or_freed_before_trial_for_want_of_evi_e1bc6961" BIGINT,
  "persons_released_or_freed_before_trial_for_want_of_evidence_fem" BIGINT,
  "persons_released_or_freed_before_trial_for_want_of_evidence_tot" BIGINT,
  "persons_in_custody_during_inv_stage_at_year_end_male" BIGINT,
  "persons_in_custody_during_inv_stage_at_year_end_female" BIGINT,
  "persons_in_custody_during_inv_stage_at_year_end_total" BIGINT,
  "persons_on_bail_during_inv_stage_at_year_end_male" BIGINT,
  "persons_on_bail_during_inv_stage_at_year_end_female" BIGINT,
  "persons_on_bail_during_inv_stage_at_year_end_total" BIGINT,
  "persons_charge_sheeted_male" BIGINT,
  "persons_charge_sheeted_female" BIGINT,
  "persons_charge_sheeted_total" BIGINT,
  "persons_in_custody_during_trial_stage_at_begin_of_year_male" BIGINT,
  "persons_in_custody_during_trial_stage_at_begin_of_year_female" BIGINT,
  "persons_in_custody_during_trial_stage_at_begin_of_year_total" BIGINT,
  "persons_on_bail_during_trial_stage_at_begin_of_year_male" BIGINT,
  "persons_on_bail_during_trial_stage_at_begin_of_year_female" BIGINT,
  "persons_on_bail_during_trial_stage_at_begin_of_year_total" BIGINT,
  "total_number_of_persons_under_trial_male" BIGINT,
  "total_number_of_persons_under_trial_female" BIGINT,
  "total_number_of_persons_under_trial_total" BIGINT,
  "persons_against_whom_cases_were_compounded_by_courts_male" BIGINT,
  "persons_against_whom_cases_were_compounded_by_courts_female" BIGINT,
  "persons_against_whom_cases_were_compounded_by_courts_total" BIGINT,
  "persons_against_whom_cases_were_withdrawn_male" BIGINT,
  "persons_against_whom_cases_were_withdrawn_female" BIGINT,
  "persons_against_whom_cases_were_withdrawn_total" BIGINT,
  "persons_in_custody_during_trial_stage_at_year_end_male" BIGINT,
  "persons_in_custody_during_trial_stage_at_year_end_female" BIGINT,
  "persons_in_custody_during_trial_stage_at_year_end_total" BIGINT,
  "persons_on_bail_during_trial_stage_at_year_end_male" BIGINT,
  "persons_on_bail_during_trial_stage_at_year_end_female" BIGINT,
  "persons_on_bail_during_trial_stage_at_year_end_total" BIGINT,
  "persons_whose_cases_trials_were_completed_during_the_year_male" BIGINT,
  "persons_whose_cases_trials_were_completed_during_the_y_ed32adbc" BIGINT,
  "persons_whose_cases_trials_were_completed_during_the_year_total" BIGINT,
  "persons_convicted_male" BIGINT,
  "persons_convicted_female" BIGINT,
  "persons_convicted_total" BIGINT,
  "persons_acquitted_male" BIGINT,
  "persons_acquitted_female" BIGINT,
  "persons_acquitted_total" BIGINT,
  "persons_discharged_by_court_male" BIGINT,
  "persons_discharged_by_court_female" BIGINT,
  "persons_discharged_by_court_total" BIGINT
);

N 04–02 Person Arrested And Their Disposal By Police A D4bb9e32

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_04_02_person_arrested_and_their_disposal_by_police_a_d4bb9e32
  • 68.84 KB
  • 1140 rows
  • 15 columns
Loading...

CREATE TABLE n_04_02_person_arrested_and_their_disposal_by_police_a_d4bb9e32 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "crime_head" VARCHAR,
  "persons_in_custody_or_on_bail_during_the_stage_of_inve_68051b9b" BIGINT,
  "persons_arrested_during_the_year" BIGINT,
  "persons_released_or_freed_by_police_or_magistrate_befo_efa0e070" BIGINT,
  "persons_in_custody_or_on_bail_during_the_stage_of_inve_05a9d1c5" BIGINT,
  "persons_in_whose_cases_charge_sheets_were_laid_during_the_year" BIGINT,
  "persons_under_trial_at_the_beginning_of_the_year" BIGINT,
  "total_number_of_persons_under_trial_during_the_year" BIGINT,
  "persons_against_whom_cases_were_compounded_or_withdrawn" BIGINT,
  "persons_in_custody_or_on_bail_during_the_stage_of_tria_340bbb57" BIGINT,
  "persons_in_whose_cases_trials_were_completed_during_the_year" BIGINT,
  "persons_convicted" BIGINT,
  "persons_acquitted" BIGINT
);

N 04–02 Person Arrested And Their Disposal By Police A 79e07b9f

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_04_02_person_arrested_and_their_disposal_by_police_a_79e07b9f
  • 69.13 KB
  • 1140 rows
  • 15 columns
Loading...

CREATE TABLE n_04_02_person_arrested_and_their_disposal_by_police_a_79e07b9f (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "crime_head" VARCHAR,
  "persons_in_custody_or_on_bail_during_the_stage_of_inve_68051b9b" BIGINT,
  "persons_arrested_during_the_year" BIGINT,
  "persons_released_or_freed_by_police_or_magistrate_befo_efa0e070" BIGINT,
  "persons_in_custody_or_on_bail_during_the_stage_of_inve_05a9d1c5" BIGINT,
  "persons_in_whose_cases_charge_sheets_were_laid_during_the_year" BIGINT,
  "persons_under_trial_at_the_beginning_of_the_year" BIGINT,
  "total_number_of_persons_under_trial_during_the_year" BIGINT,
  "persons_against_whom_cases_were_compounded_or_withdrawn" BIGINT,
  "persons_in_custody_or_on_bail_during_the_stage_of_tria_340bbb57" BIGINT,
  "persons_in_whose_cases_trials_were_completed_during_the_year" BIGINT,
  "persons_convicted" BIGINT,
  "persons_acquitted" BIGINT
);

N 04–02 Person Arrested And Their Disposal By Police A 85125627

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_04_02_person_arrested_and_their_disposal_by_police_a_85125627
  • 363.53 KB
  • 3432 rows
  • 58 columns
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CREATE TABLE n_04_02_person_arrested_and_their_disposal_by_police_a_85125627 (
  "index" BIGINT,
  "states_uts" VARCHAR,
  "crime_head" VARCHAR,
  "year" BIGINT,
  "persons_in_custody_during_inv_stage_at_beginning_of_year_male" BIGINT,
  "persons_in_custody_during_inv_stage_at_beginning_of_year_female" BIGINT,
  "persons_in_custody_during_inv_stage_at_beginning_of_year_total" BIGINT,
  "persons_on_bail_during_inv_stage_at_beginning_of_year_male" BIGINT,
  "persons_on_bail_during_inv_stage_at_beginning_of_year_female" BIGINT,
  "persons_on_bail_during_inv_stage_at_beginning_of_year_total" BIGINT,
  "persons_arrested_during_the_year_male" BIGINT,
  "persons_arrested_during_the_year_female" BIGINT,
  "persons_arrested_during_the_year_total" BIGINT,
  "persons_released_or_freed_before_trial_for_want_of_evi_e1bc6961" BIGINT,
  "persons_released_or_freed_before_trial_for_want_of_evidence_fem" BIGINT,
  "persons_released_or_freed_before_trial_for_want_of_evidence_tot" BIGINT,
  "persons_in_custody_during_inv_stage_at_year_end_male" BIGINT,
  "persons_in_custody_during_inv_stage_at_year_end_female" BIGINT,
  "persons_in_custody_during_inv_stage_at_year_end_total" BIGINT,
  "persons_on_bail_during_inv_stage_at_year_end_male" BIGINT,
  "persons_on_bail_during_inv_stage_at_year_end_female" BIGINT,
  "persons_on_bail_during_inv_stage_at_year_end_total" BIGINT,
  "persons_charge_sheeted_male" BIGINT,
  "persons_charge_sheeted_female" BIGINT,
  "persons_charge_sheeted_total" BIGINT,
  "persons_in_custody_during_trial_stage_at_begin_of_year_male" BIGINT,
  "persons_in_custody_during_trial_stage_at_begin_of_year_female" BIGINT,
  "persons_in_custody_during_trial_stage_at_begin_of_year_total" BIGINT,
  "persons_on_bail_during_trial_stage_at_begin_of_year_male" BIGINT,
  "persons_on_bail_during_trial_stage_at_begin_of_year_female" BIGINT,
  "persons_on_bail_during_trial_stage_at_begin_of_year_total" BIGINT,
  "total_number_of_persons_under_trial_male" BIGINT,
  "total_number_of_persons_under_trial_female" BIGINT,
  "total_number_of_persons_under_trial_total" BIGINT,
  "persons_against_whom_cases_were_compounded_by_courts_male" BIGINT,
  "persons_against_whom_cases_were_compounded_by_courts_female" BIGINT,
  "persons_against_whom_cases_were_compounded_by_courts_total" BIGINT,
  "persons_against_whom_cases_were_withdrawn_male" BIGINT,
  "persons_against_whom_cases_were_withdrawn_female" BIGINT,
  "persons_against_whom_cases_were_withdrawn_total" BIGINT,
  "persons_in_custody_during_trial_stage_at_year_end_male" BIGINT,
  "persons_in_custody_during_trial_stage_at_year_end_female" BIGINT,
  "persons_in_custody_during_trial_stage_at_year_end_total" BIGINT,
  "persons_on_bail_during_trial_stage_at_year_end_male" BIGINT,
  "persons_on_bail_during_trial_stage_at_year_end_female" BIGINT,
  "persons_on_bail_during_trial_stage_at_year_end_total" BIGINT,
  "persons_whose_cases_trials_were_completed_during_the_year_male" BIGINT,
  "persons_whose_cases_trials_were_completed_during_the_y_ed32adbc" BIGINT,
  "persons_whose_cases_trials_were_completed_during_the_year_total" BIGINT,
  "persons_convicted_male" BIGINT,
  "persons_convicted_female" BIGINT,
  "persons_convicted_total" BIGINT,
  "persons_acquitted_male" BIGINT,
  "persons_acquitted_female" BIGINT,
  "persons_acquitted_total" BIGINT,
  "persons_discharged_by_court_male" BIGINT,
  "persons_discharged_by_court_female" BIGINT,
  "persons_discharged_by_court_total" BIGINT
);

N 07–01 Persons Arrested By Sex And Age Group Ipc 2012

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_07_01_persons_arrested_by_sex_and_age_group_ipc_2012
  • 53.13 KB
  • 1140 rows
  • 16 columns
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CREATE TABLE n_07_01_persons_arrested_by_sex_and_age_group_ipc_2012 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "crime_head" VARCHAR,
  "male_below_18_years" BIGINT,
  "female_below_18_years" BIGINT,
  "male_between_18_30_years" BIGINT,
  "female_between_18_30_years" BIGINT,
  "male_between_30_45_years" BIGINT,
  "female_between_30_45_years" BIGINT,
  "male_between_45_60_years" BIGINT,
  "female_between_45_60_years" BIGINT,
  "male_above_60_years" BIGINT,
  "female_above_60_years" BIGINT,
  "male_total" BIGINT,
  "female_total" BIGINT,
  "grand_total" BIGINT
);

N 07–01 Persons Arrested By Sex And Age Group Ipc 2013

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_07_01_persons_arrested_by_sex_and_age_group_ipc_2013
  • 53.12 KB
  • 1140 rows
  • 16 columns
Loading...

CREATE TABLE n_07_01_persons_arrested_by_sex_and_age_group_ipc_2013 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "crime_head" VARCHAR,
  "male_below_18_years" BIGINT,
  "female_below_18_years" BIGINT,
  "male_between_18_30_years" BIGINT,
  "female_between_18_30_years" BIGINT,
  "male_between_30_45_years" BIGINT,
  "female_between_30_45_years" BIGINT,
  "male_between_45_60_years" BIGINT,
  "female_between_45_60_years" BIGINT,
  "male_above_60_years" BIGINT,
  "female_above_60_years" BIGINT,
  "male_total" BIGINT,
  "female_total" BIGINT,
  "grand_total" BIGINT
);

N 07–01 Persons Arrested By Sex And Age Group Ipc 2014

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_07_01_persons_arrested_by_sex_and_age_group_ipc_2014
  • 120.65 KB
  • 3432 rows
  • 19 columns
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CREATE TABLE n_07_01_persons_arrested_by_sex_and_age_group_ipc_2014 (
  "index" BIGINT,
  "states_uts" VARCHAR,
  "crime_head" VARCHAR,
  "year" BIGINT,
  "n_18_and_above_and_below_30_years_male" BIGINT,
  "n_18_and_above_and_below_30_years_female" BIGINT,
  "n_18_and_above_and_below_30_years_total" BIGINT,
  "n_30_and_above_and_below_45_years_male" BIGINT,
  "n_30_and_above_and_below_45_years_female" BIGINT,
  "n_30_and_above_and_below_45_years_total" BIGINT,
  "n_45_and_above_and_below_60_years_male" BIGINT,
  "n_45_and_above_and_below_60_years_female" BIGINT,
  "n_45_and_above_and_below_60_years_total" BIGINT,
  "n_60_years_and_above_male" BIGINT,
  "n_60_years_and_above_female" BIGINT,
  "n_60_years_and_above_total" BIGINT,
  "total_male" BIGINT,
  "total_female" BIGINT,
  "total_persons_arrested_by_age_and_sex" BIGINT
);

N 07–02 Persons Arrested By Sex And Age Group Sll 2012

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_07_02_persons_arrested_by_sex_and_age_group_sll_2012
  • 38.18 KB
  • 1026 rows
  • 16 columns
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CREATE TABLE n_07_02_persons_arrested_by_sex_and_age_group_sll_2012 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "crime_head" VARCHAR,
  "male_below_18_years" BIGINT,
  "female_below_18_years" BIGINT,
  "male_between_18_30_years" BIGINT,
  "female_between_18_30_years" BIGINT,
  "male_between_30_45_years" BIGINT,
  "female_between_30_45_years" BIGINT,
  "male_between_45_60_years" BIGINT,
  "female_between_45_60_years" BIGINT,
  "male_above_60_years" BIGINT,
  "female_above_60_years" BIGINT,
  "male_total" BIGINT,
  "female_total" BIGINT,
  "grand_total" BIGINT
);

N 07–02 Persons Arrested By Sex And Age Group Sll 2013

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_07_02_persons_arrested_by_sex_and_age_group_sll_2013
  • 37.98 KB
  • 1026 rows
  • 16 columns
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CREATE TABLE n_07_02_persons_arrested_by_sex_and_age_group_sll_2013 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "crime_head" VARCHAR,
  "male_below_18_years" BIGINT,
  "female_below_18_years" BIGINT,
  "male_between_18_30_years" BIGINT,
  "female_between_18_30_years" BIGINT,
  "male_between_30_45_years" BIGINT,
  "female_between_30_45_years" BIGINT,
  "male_between_45_60_years" BIGINT,
  "female_between_45_60_years" BIGINT,
  "male_above_60_years" BIGINT,
  "female_above_60_years" BIGINT,
  "male_total" BIGINT,
  "female_total" BIGINT,
  "grand_total" BIGINT
);

N 07–02 Persons Arrested By Sex And Age Group Sll 2014

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_07_02_persons_arrested_by_sex_and_age_group_sll_2014
  • 71.64 KB
  • 2730 rows
  • 19 columns
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CREATE TABLE n_07_02_persons_arrested_by_sex_and_age_group_sll_2014 (
  "index" BIGINT,
  "states_uts" VARCHAR,
  "crime_head" VARCHAR,
  "year" BIGINT,
  "n_18_and_above_and_below_30_years_male" BIGINT,
  "n_18_and_above_and_below_30_years_female" BIGINT,
  "n_18_and_above_and_below_30_years_total" BIGINT,
  "n_30_and_above_and_below_45_years_male" BIGINT,
  "n_30_and_above_and_below_45_years_female" BIGINT,
  "n_30_and_above_and_below_45_years_total" BIGINT,
  "n_45_and_above_and_below_60_years_male" BIGINT,
  "n_45_and_above_and_below_60_years_female" BIGINT,
  "n_45_and_above_and_below_60_years_total" BIGINT,
  "n_60_years_and_above_male" BIGINT,
  "n_60_years_and_above_female" BIGINT,
  "n_60_years_and_above_total" BIGINT,
  "total_male" BIGINT,
  "total_female" BIGINT,
  "total_persons_arrested_by_age_and_sex" BIGINT
);

N 08–01 Juvenile Apprehended State Ipc

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_08_01_juvenile_apprehended_state_ipc
  • 129.67 KB
  • 10500 rows
  • 13 columns
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CREATE TABLE n_08_01_juvenile_apprehended_state_ipc (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "year" BIGINT,
  "crime" VARCHAR,
  "boys_7_12_years" BIGINT,
  "girls_7_12_years" BIGINT,
  "boys_12_16_years" BIGINT,
  "girls_12_16_years" BIGINT,
  "boys_16_18_years" BIGINT,
  "girls_16_18_years" BIGINT,
  "total_for_boys_all_age_groups" BIGINT,
  "total_for_girls_all_age_groups" BIGINT,
  "grand_total" BIGINT
);

N 08–02 Juvenile Apprehended State Sll

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_08_02_juvenile_apprehended_state_sll
  • 86.73 KB
  • 9450 rows
  • 13 columns
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CREATE TABLE n_08_02_juvenile_apprehended_state_sll (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "year" BIGINT,
  "crime" VARCHAR,
  "boys_7_12_years" BIGINT,
  "girls_7_12_years" BIGINT,
  "boys_12_16_years" BIGINT,
  "girls_12_16_years" BIGINT,
  "boys_16_18_years" BIGINT,
  "girls_16_18_years" BIGINT,
  "total_for_boys_all_age_groups" BIGINT,
  "total_for_girls_all_age_groups" BIGINT,
  "grand_total" BIGINT
);

N 09 Juveniles Arrested And Their Disposal

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_09_juveniles_arrested_and_their_disposal
  • 20.12 KB
  • 349 rows
  • 11 columns
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CREATE TABLE n_09_juveniles_arrested_and_their_disposal (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "juveniles_acquitted_or_otherwise_disposed_of" BIGINT,
  "juveniles_arrested" BIGINT,
  "juveniles_dealt_with_fine" BIGINT,
  "juveniles_released_on_probation_and_placed_under_the_c_3c4d70f1" BIGINT,
  "juveniles_released_on_probation_and_placed_under_the_c_ee64b8c3" BIGINT,
  "juveniles_sent_home_after_advice_or_admonition" BIGINT,
  "juveniles_sent_to_special_home" BIGINT,
  "juveniles_whose_cases_pending_disposal" BIGINT
);

N 10 Property Stolen And Recovered

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_10_property_stolen_and_recovered
  • 70.65 KB
  • 2449 rows
  • 9 columns
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CREATE TABLE n_10_property_stolen_and_recovered (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "cases_property_recovered" BIGINT,
  "cases_property_stolen" BIGINT,
  "value_of_property_recovered" BIGINT,
  "value_of_property_stolen" BIGINT
);

N 11 Property Stolen And Recovered Nature Of Property

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_11_property_stolen_and_recovered_nature_of_property
  • 103.41 KB
  • 4550 rows
  • 9 columns
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CREATE TABLE n_11_property_stolen_and_recovered_nature_of_property (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "cases_property_recovered" BIGINT,
  "cases_property_stolen" BIGINT,
  "value_of_property_recovered" BIGINT,
  "value_of_property_stolen" BIGINT
);

N 12 Police Strength Actual And Sanctioned

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_12_police_strength_actual_and_sanctioned
  • 122.79 KB
  • 4188 rows
  • 17 columns
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CREATE TABLE n_12_police_strength_actual_and_sanctioned (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "rank_all_ranks_total" BIGINT,
  "rank_asi_equivalent" BIGINT,
  "rank_aspdyspassttcommandant" BIGINT,
  "rank_below_hc_and_above_constables" BIGINT,
  "rank_constables" BIGINT,
  "rank_dgaddl_dg" BIGINT,
  "rank_dig" BIGINT,
  "rank_head_constables" BIGINT,
  "rank_igsplig" BIGINT,
  "rank_inspectors_equivalent" BIGINT,
  "rank_si_equivalent" BIGINT,
  "rank_sspspaddlspcommandant" BIGINT
);

N 13 Police Killed Or Injured On Duty

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_13_police_killed_or_injured_on_duty
  • 50.43 KB
  • 2450 rows
  • 19 columns
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CREATE TABLE n_13_police_killed_or_injured_on_duty (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "police_injured_by_criminals" BIGINT,
  "police_injured_by_riotous_mobs" BIGINT,
  "police_injured_in_accidents" BIGINT,
  "police_injured_in_dacoity_operationsother_raids" BIGINT,
  "police_injured_in_terroristsextremists_operations" BIGINT,
  "police_injured_on_border_duties" BIGINT,
  "police_injured_total_policemen" BIGINT,
  "police_killed_by_criminals" BIGINT,
  "police_killed_by_riotous_mobs" BIGINT,
  "police_killed_in_accidents" BIGINT,
  "police_killed_in_dacoity_operationsother_raids" BIGINT,
  "police_killed_in_terroristsextremists_operations" BIGINT,
  "police_killed_on_border_duties" BIGINT,
  "police_killed_total_policemen" BIGINT
);

N 14 Age Profile Of Police Personnel Killed On Duty

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_14_age_profile_of_police_personnel_killed_on_duty
  • 11.63 KB
  • 350 rows
  • 9 columns
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CREATE TABLE n_14_age_profile_of_police_personnel_killed_on_duty (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "age_18_25_yrs" BIGINT,
  "age_25_35_yrs" BIGINT,
  "age_35_45_yrs" BIGINT,
  "age_45_55_yrs" BIGINT,
  "age_above_55_yrs" BIGINT,
  "age_total" BIGINT
);

N 15 Police Natural Death And Suicide

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_15_police_natural_death_and_suicide
  • 16.8 KB
  • 700 rows
  • 10 columns
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CREATE TABLE n_15_police_natural_death_and_suicide (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "age_18_25_yrs" BIGINT,
  "age_25_35_yrs" BIGINT,
  "age_35_45_yrs" BIGINT,
  "age_45_55_yrs" BIGINT,
  "age_above_55_yrs" BIGINT,
  "age_total" BIGINT
);

N 16 Casualties Under Police Firing And Lathi Charge

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_16_casualties_under_police_firing_and_lathi_charge
  • 24.6 KB
  • 1749 rows
  • 9 columns
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CREATE TABLE n_16_casualties_under_police_firing_and_lathi_charge (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "civilians_injured" BIGINT,
  "civilians_killed" BIGINT,
  "no_of_firings" BIGINT,
  "policemen_injured" BIGINT,
  "policemen_killed" BIGINT
);

N 17 Case Reported And Value Of Property Taken Away By A93c57ca

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_17_case_reported_and_value_of_property_taken_away_by_a93c57ca
  • 142.2 KB
  • 4344 rows
  • 12 columns
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CREATE TABLE n_17_case_reported_and_value_of_property_taken_away_by_a93c57ca (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "year" BIGINT,
  "place_of_occurrence" VARCHAR,
  "dacoity_section_395_398_ipc_number_of_cases_registered" BIGINT,
  "dacoity_section_395_398_ipc_value_of_property_stolen_in_rupees" BIGINT,
  "robbery_section_392_394_397_398_ipc_number_of_cases_registered" BIGINT,
  "robbery_section_392_394_397_398_ipc_value_of_property__c9c55ffc" BIGINT,
  "burglary_section_449_452_454_455_457_460_ipc_number_of_3c6dddb5" BIGINT,
  "burglary_section_449_452_454_455_457_460_ipc_value_of__5a2d9c23" BIGINT,
  "theft_section_379_382_ipc_number_of_cases_registered" BIGINT,
  "theft_section_379_382_ipc_value_of_property_stolen_in_rupees" BIGINT
);

N 17 Case Reported And Value Of Property Taken Away By 2c1593e4

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_17_case_reported_and_value_of_property_taken_away_by_2c1593e4
  • 24.69 KB
  • 385 rows
  • 12 columns
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CREATE TABLE n_17_case_reported_and_value_of_property_taken_away_by_2c1593e4 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "year" BIGINT,
  "place_of_occurrence" VARCHAR,
  "dacoity_section_395_398_ipc_number_of_cases_registered" BIGINT,
  "dacoity_section_395_398_ipc_value_of_property_stolen_in_rupees" BIGINT,
  "robbery_section_392_394_397_398_ipc_number_of_cases_registered" BIGINT,
  "robbery_section_392_394_397_398_ipc_value_of_property__c9c55ffc" BIGINT,
  "burglary_section_449_452_454_455_457_460_ipc_number_of_3c6dddb5" BIGINT,
  "burglary_section_449_452_454_455_457_460_ipc_value_of__5a2d9c23" BIGINT,
  "theft_section_379_382_ipc_number_of_cases_registered" BIGINT,
  "theft_section_379_382_ipc_value_of_property_stolen_in_rupees" BIGINT
);

N 17 Crime By Place Of Occurrence 2001–2012

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_17_crime_by_place_of_occurrence_2001_2012
  • 66.73 KB
  • 456 rows
  • 35 columns
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CREATE TABLE n_17_crime_by_place_of_occurrence_2001_2012 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "year" BIGINT,
  "residential_premises_dacoity" BIGINT,
  "residential_premises_robbery" BIGINT,
  "residential_premises_burglary" BIGINT,
  "residential_premises_theft" BIGINT,
  "highways_dacoity" BIGINT,
  "highways_robbery" BIGINT,
  "highways_burglary" BIGINT,
  "highways_theft" BIGINT,
  "river_and_sea_dacoity" BIGINT,
  "river_and_sea_robbery" BIGINT,
  "river_and_sea_burglary" BIGINT,
  "river_and_sea_theft" BIGINT,
  "railways_dacoity" BIGINT,
  "railways_robbery" BIGINT,
  "railways_burglary" BIGINT,
  "railways_theft" BIGINT,
  "banks_dacoity" BIGINT,
  "banks_robbery" BIGINT,
  "banks_burglary" BIGINT,
  "banks_theft" BIGINT,
  "commercial_establishments_dacoity" BIGINT,
  "commercial_establishments_robbery" BIGINT,
  "commercial_establishments_burglary" BIGINT,
  "commercial_establishments_theft" BIGINT,
  "other_places_dacoity" BIGINT,
  "other_places_robbery" BIGINT,
  "other_places_burglary" BIGINT,
  "other_places_theft" BIGINT,
  "total_dacoity" BIGINT,
  "total_robbery" BIGINT,
  "total_burglary" BIGINT,
  "total_theft" BIGINT
);

N 17 Crime By Place Of Occurrence 2013

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_17_crime_by_place_of_occurrence_2013
  • 31 KB
  • 38 rows
  • 35 columns
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CREATE TABLE n_17_crime_by_place_of_occurrence_2013 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "year" BIGINT,
  "residential_premises_dacoity" BIGINT,
  "residential_premises_robbery" BIGINT,
  "residential_premises_burglary" BIGINT,
  "residential_premises_theft" BIGINT,
  "highways_dacoity" BIGINT,
  "highways_robbery" BIGINT,
  "highways_burglary" BIGINT,
  "highways_theft" BIGINT,
  "river_and_sea_dacoity" BIGINT,
  "river_and_sea_robbery" BIGINT,
  "river_and_sea_burglary" BIGINT,
  "river_and_sea_theft" BIGINT,
  "railways_dacoity" BIGINT,
  "railways_robbery" BIGINT,
  "railways_burglary" BIGINT,
  "railways_theft" BIGINT,
  "banks_dacoity" BIGINT,
  "banks_robbery" BIGINT,
  "banks_burglary" BIGINT,
  "banks_theft" BIGINT,
  "commercial_establishments_dacoity" BIGINT,
  "commercial_establishments_robbery" BIGINT,
  "commercial_establishments_burglary" BIGINT,
  "commercial_establishments_theft" BIGINT,
  "other_places_dacoity" BIGINT,
  "other_places_robbery" BIGINT,
  "other_places_burglary" BIGINT,
  "other_places_theft" BIGINT,
  "total_dacoity" BIGINT,
  "total_robbery" BIGINT,
  "total_burglary" BIGINT,
  "total_theft" BIGINT
);

N 17 Crime By Place Of Occurrence 2014

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_17_crime_by_place_of_occurrence_2014
  • 86.19 KB
  • 39 rows
  • 83 columns
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CREATE TABLE n_17_crime_by_place_of_occurrence_2014 (
  "index" BIGINT,
  "states_uts" VARCHAR,
  "year" BIGINT,
  "residence_dacoity_cases_reported" BIGINT,
  "residence_dacoity_value_of_property_stolen" BIGINT,
  "residence_robbery_cases_reported" BIGINT,
  "residence_robbery_value_of_property_stolen" BIGINT,
  "residence_burglary_cases_reported" BIGINT,
  "residence_burglary_value_of_property_stolen" BIGINT,
  "residence_theft_cases_reported" BIGINT,
  "residence_theft_value_of_property_stolen" BIGINT,
  "highways_dacoity_cases_reported" BIGINT,
  "highways_dacoity_value_of_property_stolen" BIGINT,
  "highways_robbery_cases_reported" BIGINT,
  "highways_robbery_value_of_property_stolen" BIGINT,
  "highways_burglary_cases_reported" BIGINT,
  "highways_burglary_value_of_property_stolen" BIGINT,
  "highways_theft_cases_reported" BIGINT,
  "highways_theft_value_of_property_stolen" BIGINT,
  "riverorsea_dacoity_cases_reported" BIGINT,
  "riverorsea_dacoity_value_of_property_stolen" BIGINT,
  "riverorsea_robbery_cases_reported" BIGINT,
  "riverorsea_robbery_value_of_property_stolen" BIGINT,
  "riverorsea_burglary_cases_reported" BIGINT,
  "riverorsea_burglary_value_of_property_stolen" BIGINT,
  "riverorsea_theft_cases_reported" BIGINT,
  "riverorsea_theft_value_of_property_stolen" BIGINT,
  "railways_dacoity_cases_reported" BIGINT,
  "railways_dacoity_value_of_property_stolen" BIGINT,
  "railways_robbery_cases_reported" BIGINT,
  "railways_robbery_value_of_property_stolen" BIGINT,
  "railways_burglary_cases_reported" BIGINT,
  "railways_burglary_value_of_property_stolen" BIGINT,
  "railways_theft_cases_reported" BIGINT,
  "railways_theft_value_of_property_stolen" BIGINT,
  "religious_places_dacoity_cases_reported" BIGINT,
  "religious_places_dacoity_value_of_property_stolen" BIGINT,
  "religious_places_robbery_cases_reported" BIGINT,
  "religious_places_robbery_value_of_property_stolen" BIGINT,
  "religious_places_burglary_cases_reported" BIGINT,
  "religious_places_burglary_value_of_property_stolen" DOUBLE,
  "religious_places_theft_cases_reported" BIGINT,
  "religious_places_theft_value_of_property_stolen" BIGINT,
  "atm_dacoity_cases_reported" BIGINT,
  "atm_dacoity_value_of_property_stolen" BIGINT,
  "atm_robbery_cases_reported" BIGINT,
  "atm_robbery_value_of_property_stolen" BIGINT,
  "atm_burglary_cases_reported" BIGINT,
  "atm_burglary_value_of_property_stolen" BIGINT,
  "atm_theft_cases_reported" BIGINT,
  "atm_theft_value_of_property_stolen" BIGINT,
  "bank_dacoity_cases_reported" BIGINT,
  "bank_dacoity_value_of_property_stolen" BIGINT,
  "bank_robbery_cases_reported" BIGINT,
  "bank_robbery_value_of_property_stolen" BIGINT,
  "bank_burglary_cases_reported" BIGINT,
  "bank_burglary_value_of_property_stolen" BIGINT,
  "bank_theft_cases_reported" BIGINT,
  "bank_theft_value_of_property_stolen" BIGINT,
  "commest_dacoity_cases_reported" BIGINT,
  "commest_dacoity_value_of_property_stolen" BIGINT,
  "commest_robbery_cases_reported" BIGINT,
  "commest_robbery_value_of_property_stolen" BIGINT,
  "commest_burglary_cases_reported" BIGINT,
  "commest_burglary_value_of_property_stolen" BIGINT,
  "commest_theft_cases_reported" BIGINT,
  "commest_theft_value_of_property_stolen" BIGINT,
  "otherplaces_dacoity_cases_reported" BIGINT,
  "otherplaces_dacoity_value_of_property_stolen" BIGINT,
  "otherplaces_robbery_cases_reported" BIGINT,
  "otherplaces_robbery_value_of_property_stolen" BIGINT,
  "otherplaces_burglary_cases_reported" BIGINT,
  "otherplaces_burglary_value_of_property_stolen" BIGINT,
  "otherplaces_theft_cases_reported" BIGINT,
  "otherplaces_theft_value_of_property_stolen" BIGINT,
  "total_dacoity_cases_reported" BIGINT,
  "total_dacoity_value_of_property_stolen" BIGINT,
  "total_robbery_cases_reported" BIGINT,
  "total_robbery_value_of_property_stolen" BIGINT,
  "total_burglary_cases_reported" BIGINT,
  "total_burglary_value_of_property_stolen" DOUBLE,
  "total_theft_cases_reported" BIGINT,
  "total_theft_value_of_property_stolen" BIGINT
);

N 18–01 Juveniles Arrested Education

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_18_01_juveniles_arrested_education
  • 15.66 KB
  • 350 rows
  • 9 columns
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CREATE TABLE n_18_01_juveniles_arrested_education (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "sub_group_name" VARCHAR,
  "education_above_primary_but_below_matric_or_higher_secondary" BIGINT,
  "education_illiterate" BIGINT,
  "education_matric_or_higher_secondary_above" BIGINT,
  "education_total" BIGINT,
  "education_upto_primary" BIGINT
);

N 18–02 Juveniles Arrested Economic Setup

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_18_02_juveniles_arrested_economic_setup
  • 18.41 KB
  • 350 rows
  • 11 columns
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CREATE TABLE n_18_02_juveniles_arrested_economic_setup (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "sub_group_name" VARCHAR,
  "economic_set_up_annual_income_250001_to_50000" BIGINT,
  "economic_set_up_annual_income_upto_rs_25000" BIGINT,
  "economic_set_up_middle_income_from_100001_to_200000" BIGINT,
  "economic_set_up_middle_income_from_50001_to_100000" BIGINT,
  "economic_set_up_total" BIGINT,
  "economic_set_up_upper_income_above_rs_300000" BIGINT,
  "economic_set_up_upper_middle_income_from_200001_to_300000" BIGINT
);

N 18–03 Juveniles Arrested Family Background

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_18_03_juveniles_arrested_family_background
  • 13.69 KB
  • 350 rows
  • 8 columns
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CREATE TABLE n_18_03_juveniles_arrested_family_background (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "sub_group_name" VARCHAR,
  "family_back_ground_homeless" BIGINT,
  "family_back_ground_living_with_guardian" BIGINT,
  "family_back_ground_living_with_parents" BIGINT,
  "family_back_ground_total" BIGINT
);

N 18–04 Juveniles Arrested Recidivism

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_18_04_juveniles_arrested_recidivism
  • 11.72 KB
  • 350 rows
  • 7 columns
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CREATE TABLE n_18_04_juveniles_arrested_recidivism (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "sub_group_name" VARCHAR,
  "recidivism_new_delinquent" BIGINT,
  "recidivism_old_delinquent" BIGINT,
  "recidivism_total" BIGINT
);

N 19 Motive Or Cause Of Murder And Culpable Homicide N 1970921c

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_19_motive_or_cause_of_murder_and_culpable_homicide_n_1970921c
  • 41.96 KB
  • 350 rows
  • 31 columns
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CREATE TABLE n_19_motive_or_cause_of_murder_and_culpable_homicide_n_1970921c (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "chnamurder_cause_by_terroristextremist" BIGINT,
  "chnamurder_cause_casteism" BIGINT,
  "chnamurder_cause_class_conflict" BIGINT,
  "chnamurder_cause_communalism" BIGINT,
  "chnamurder_cause_dowry" BIGINT,
  "chnamurder_cause_for_political_reason" BIGINT,
  "chnamurder_cause_gain" BIGINT,
  "chnamurder_cause_love_affairssexual_relations" BIGINT,
  "chnamurder_cause_lunacy" BIGINT,
  "chnamurder_cause_other_causes_or_motives" BIGINT,
  "chnamurder_cause_personal_vendetta_or_enmity" BIGINT,
  "chnamurder_cause_property_dispute" BIGINT,
  "chnamurder_cause_total" BIGINT,
  "chnamurder_cause_witchcraft" BIGINT,
  "murder_cause_by_terroristextremist" BIGINT,
  "murder_cause_casteism" BIGINT,
  "murder_cause_class_conflict" BIGINT,
  "murder_cause_communalism" BIGINT,
  "murder_cause_dowry" BIGINT,
  "murder_cause_for_political_reason" BIGINT,
  "murder_cause_gain" BIGINT,
  "murder_cause_love_affairssexual_relations" BIGINT,
  "murder_cause_lunacy" BIGINT,
  "murder_cause_other_causes_or_motives" BIGINT,
  "murder_cause_personal_vendetta_or_enmity" BIGINT,
  "murder_cause_property_dispute" BIGINT,
  "murder_cause_total" BIGINT,
  "murder_cause_witchcraft" BIGINT
);

N 20 Victims Of Rape

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_20_victims_of_rape
  • 30.65 KB
  • 1050 rows
  • 12 columns
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CREATE TABLE n_20_victims_of_rape (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "subgroup" VARCHAR,
  "rape_cases_reported" BIGINT,
  "victims_above_50_yrs" BIGINT,
  "victims_between_10_14_yrs" BIGINT,
  "victims_between_14_18_yrs" BIGINT,
  "victims_between_18_30_yrs" BIGINT,
  "victims_between_30_50_yrs" BIGINT,
  "victims_of_rape_total" BIGINT,
  "victims_upto_10_yrs" BIGINT
);

N 21 Offenders Known To The Victim

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_21_offenders_known_to_the_victim
  • 15.32 KB
  • 350 rows
  • 8 columns
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CREATE TABLE n_21_offenders_known_to_the_victim (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "no_of_cases_in_which_offenders_were_known_to_the_victims" BIGINT,
  "no_of_cases_in_which_offenders_were_neighbours" BIGINT,
  "no_of_cases_in_which_offenders_were_other_known_persons" BIGINT,
  "no_of_cases_in_which_offenders_were_parentsclose_family_members" BIGINT,
  "no_of_cases_in_which_offenders_were_relatives" BIGINT
);

N 22 Persons Arrested Under Recidivism

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_22_persons_arrested_under_recidivism
  • 17.89 KB
  • 350 rows
  • 8 columns
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CREATE TABLE n_22_persons_arrested_under_recidivism (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "offenders_arrested" BIGINT,
  "offenders_arrested_for_the_first_time" BIGINT,
  "offenders_conviction_in_the_past_once" BIGINT,
  "offenders_conviction_in_the_past_three_times_or_more" BIGINT,
  "offenders_conviction_in_the_past_twice" BIGINT
);

N 23 Anti Corruprion Cases

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_23_anti_corruprion_cases
  • 54.82 KB
  • 346 rows
  • 30 columns
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CREATE TABLE n_23_anti_corruprion_cases (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "ac01_no_of_cases_pending_investigation_from_previous_year" DOUBLE,
  "ac02_no_of_cases_registered_during_the_year" DOUBLE,
  "ac03_total_no_of_cases_for_investigation_during_the_year" DOUBLE,
  "ac04_no_of_cases_investigated_during_the_year" DOUBLE,
  "ac05_no_of_cases_not_investigatedor_in_which_investiga_d6413c7a" DOUBLE,
  "ac06_no_of_cases_transferred_to_local_police_during_the_year" DOUBLE,
  "ac07_no_of_cases_declared_false_mistake_of_fact_or_of__2d1a2451" DOUBLE,
  "ac08_no_of_cases_in_which_charge_sheets_were_laid_duri_6294269c" DOUBLE,
  "ac09_no_of_cases_pending_departmental_sanction_for_pro_d670f501" DOUBLE,
  "ac10_no_of_cases_sent_up_for_trial_and_also_reported_f_41635e49" DOUBLE,
  "ac11_no_of_cases_reported_for_regular_departmental_act_50b4a53c" DOUBLE,
  "ac12_no_of_cases_reported_for_suitable_action_during_the_year" DOUBLE,
  "ac13_no_of_cases_in_which_charge_sheets_were_not_laid__193a1bbf" DOUBLE,
  "ac14_no_of_cases_pending_investigation_at_the_end_of_the_year" DOUBLE,
  "ac15_no_of_cases_resulted_in_recoveries_or_seizures_du_0c5c6e2e" DOUBLE,
  "ac16_value_of_property_recoveredseized_during_the_year_in_rs" DOUBLE,
  "ac17_percentage_of_cases_charge_sheeted_to_total_cases_f7949f22" DOUBLE,
  "ac18_no_of_cases_pending_trial_from_the_previous_year" DOUBLE,
  "ac19_no_of_cases_sent_up_for_trial_during_the_year" DOUBLE,
  "ac20_total_no_of_cases_for_trial_during_the_year" DOUBLE,
  "ac21_no_of_cases_withdrawn_or_other_wise_disposed_off__8ff51e05" DOUBLE,
  "ac22_no_of_cases_in_which_trials_were_completed_during_the_year" DOUBLE,
  "ac23_no_of_cases_convicted_during_the_year" DOUBLE,
  "ac24_no_of_cases_acquitted_or_discharged_during_the_year" DOUBLE,
  "ac25_no_of_cases_pending_trial_at_the_end_of_the_year" DOUBLE,
  "ac26_percentage_of_cases_convicted_to_cases_in_which_t_f8f82422" DOUBLE,
  "ac27_total_amount_of_fine_imposed_during_the_year_in_rs" DOUBLE
);

N 24 Anti Corruption Arrests

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_24_anti_corruption_arrests
  • 43.79 KB
  • 347 rows
  • 25 columns
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CREATE TABLE n_24_anti_corruption_arrests (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "aca01_no_of_persons_in_custody_or_on_bail_during_the_s_e3f4ea76" DOUBLE,
  "aca02_no_of_persons_arrested_during_the_year" DOUBLE,
  "aca04_no_of_persons_in_custody_or_on_bail_during_the_s_0417847e" DOUBLE,
  "aca05_no_of_persons_in_whose_cases_charge_sheets_were__db35cf2b" DOUBLE,
  "aca06_no_of_persons_under_trial_at_the_beginning_of_the_year" DOUBLE,
  "aca07_total_no_of_persons_under_trial_during_the_year" DOUBLE,
  "aca08_no_of_persons_whose_cases_were_withdrawn_or_othe_d3d4a652" DOUBLE,
  "aca09_no_of_persons_in_custody_or_on_bail_during_the_s_eabfd263" DOUBLE,
  "aca10_no_of_persons_in_whose_cases_trials_were_complet_0ff20b61" DOUBLE,
  "aca11_no_of_persons_convicted_during_the_year" DOUBLE,
  "aca12_no_of_persons_acquitted_during_the_year" DOUBLE,
  "aca13_percentage_of_persons_convicted_to_total_persons_a4175b8f" DOUBLE,
  "aca14_no_of_persons_involved_in_the_cases_reported_for_67c17bba" DOUBLE,
  "aca15_no_of_persons_involved_in_the_cases_reported_for_421d16ab" DOUBLE,
  "aca16_no_of_persons_punished_departmentally_during_the_year" DOUBLE,
  "aca161_no_of_persons_dismissed_from_service_during_the_year" DOUBLE,
  "aca162_no_of_persons_removed_from_service_during_the_year" DOUBLE,
  "aca163_no_of_persons_awarded_other_major_punishments_d_5ce60039" DOUBLE,
  "aca164_no_of_persons_awarded_minor_punishments_during_the_year" DOUBLE,
  "aca171_no_of_group_a_officers_out_of_above" DOUBLE,
  "aca172_no_of_group_b_officers_out_of_above" DOUBLE,
  "aca19_no_of_private_persons_involved_during_the_year" DOUBLE
);

N 25 Complaints Against Police

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_25_complaints_against_police
  • 38.8 KB
  • 350 rows
  • 23 columns
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CREATE TABLE n_25_complaints_against_police (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "sub_group" VARCHAR,
  "cpa_cases_registered" BIGINT,
  "cpa_cases_reported_for_dept_action" BIGINT,
  "cpa_complaints_cases_declared_false_unsubstantiated" BIGINT,
  "cpa_complaints_received_alleged" BIGINT,
  "cpa_no_of_departmental_enquiries" BIGINT,
  "cpa_no_of_magisterial_enquiries" BIGINT,
  "cpa_cases_sent_for_trials_charge_sheeted" BIGINT,
  "cpa_no_of_judicial_enquiries" BIGINT,
  "cpb_police_personnel_acquitted" BIGINT,
  "cpb_police_personnel_convicted" BIGINT,
  "cpb_police_personnel_sent_up_for_trial" BIGINT,
  "cpb_police_personnel_trial_completed" BIGINT,
  "cpb_police_personnel_cases_withdrawn_or_otherwise_disposed_of" BIGINT,
  "cpc_police_personnel_cases_trial_completed" BIGINT,
  "cpc_police_personnel_cases_withdrawn_or_otherwise_disposed_of" BIGINT,
  "cpc_police_personnel_disciplinary_action_initiated" BIGINT,
  "cpc_police_personnel_dismissal_removal_from_service" BIGINT,
  "cpc_police_personnel_major_punishment_awarded" BIGINT,
  "cpc_police_personnel_minor_punishment_awarded" BIGINT
);

N 27 Nature Of Complaints Received By Police

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_27_nature_of_complaints_received_by_police
  • 27.14 KB
  • 349 rows
  • 11 columns
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CREATE TABLE n_27_nature_of_complaints_received_by_police (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "pc1_oral_complaints" DOUBLE,
  "pc2_written_complaints" BIGINT,
  "pc3_distress_call_over_phoneno_100_etc" DOUBLE,
  "pc4_complaints_initiated_sue_motto_by_police" DOUBLE,
  "pc5_total_complaints_sum_of_1_4_above" BIGINT,
  "pc6_total_complaints_as_recorded_in_gd" DOUBLE,
  "pc7_ipc_cases_registered" BIGINT,
  "pc8_sll_cases_registered" BIGINT
);

N 28 Trial Of Violent Crimes By Courts

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_28_trial_of_violent_crimes_by_courts
  • 59.87 KB
  • 4473 rows
  • 8 columns
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CREATE TABLE n_28_trial_of_violent_crimes_by_courts (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "trial_of_violent_crimes_by_courts_by_confession" DOUBLE,
  "trial_of_violent_crimes_by_courts_by_trial" DOUBLE,
  "trial_of_violent_crimes_by_courts_total" DOUBLE
);

N 29 Period Of Trials By Courts

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_29_period_of_trials_by_courts
  • 64.6 KB
  • 1786 rows
  • 12 columns
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CREATE TABLE n_29_period_of_trials_by_courts (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "pt_1_3_years" DOUBLE,
  "pt_3_5_years" DOUBLE,
  "pt_5_10_years" DOUBLE,
  "pt_6_12_months" DOUBLE,
  "pt_less_than_6_months" DOUBLE,
  "pt_over_10_years" DOUBLE,
  "pt_total" DOUBLE
);

N 30 Auto Theft

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_30_auto_theft
  • 30.46 KB
  • 1865 rows
  • 8 columns
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CREATE TABLE n_30_auto_theft (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "auto_theft_coordinated_traced" DOUBLE,
  "auto_theft_recovered" DOUBLE,
  "auto_theft_stolen" BIGINT
);

N 31 Serious Fraud

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_31_serious_fraud
  • 12.81 KB
  • 448 rows
  • 10 columns
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CREATE TABLE n_31_serious_fraud (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "loss_of_property_1_10_crores" DOUBLE,
  "loss_of_property_10_25_crores" DOUBLE,
  "loss_of_property_25_50_crores" DOUBLE,
  "loss_of_property_50_100_crores" DOUBLE,
  "loss_of_property_above_100_crores" DOUBLE
);

N 32 Murder Victim Age Sex

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_32_murder_victim_age_sex
  • 31.37 KB
  • 1018 rows
  • 12 columns
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CREATE TABLE n_32_murder_victim_age_sex (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "victims_above_50_yrs" DOUBLE,
  "victims_total" BIGINT,
  "victims_upto_10_15_yrs" DOUBLE,
  "victims_upto_10_yrs" DOUBLE,
  "victims_upto_15_18_yrs" DOUBLE,
  "victims_upto_18_30_yrs" DOUBLE,
  "victims_upto_30_50_yrs" DOUBLE
);

N 33 Ch Not Murder Victim Age Sex

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_33_ch_not_murder_victim_age_sex
  • 22.92 KB
  • 936 rows
  • 11 columns
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CREATE TABLE n_33_ch_not_murder_victim_age_sex (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "sub_group_name" VARCHAR,
  "victims_above_50_yrs" DOUBLE,
  "victims_total" DOUBLE,
  "victims_upto_10_15_yrs" DOUBLE,
  "victims_upto_10_yrs" DOUBLE,
  "victims_upto_15_18_yrs" DOUBLE,
  "victims_upto_18_30_yrs" DOUBLE,
  "victims_upto_30_50_yrs" DOUBLE
);

N 34 Use Of Fire Arms In Murder Cases

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_34_use_of_fire_arms_in_murder_cases
  • 9.96 KB
  • 284 rows
  • 6 columns
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CREATE TABLE n_34_use_of_fire_arms_in_murder_cases (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "victims_of_murder_by_fire_arms" BIGINT,
  "victims_of_murder_by_licensed_arms" DOUBLE,
  "victims_of_murder_by_un_licensedimprovisedcrudecountry_538b039e" DOUBLE
);

N 35 Human Rights Violation By Police

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_35_human_rights_violation_by_police
  • 23.09 KB
  • 2267 rows
  • 8 columns
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CREATE TABLE n_35_human_rights_violation_by_police (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "cases_registered_under_human_rights_violations" DOUBLE,
  "policemen_chargesheeted" DOUBLE,
  "policemen_convicted" DOUBLE
);

N 36 Police Housing

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_36_police_housing
  • 17.37 KB
  • 696 rows
  • 8 columns
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CREATE TABLE n_36_police_housing (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "ph_houses_provided_by_department" DOUBLE,
  "ph_houses_provided_on_leaserentgpra" DOUBLE,
  "ph_sanctioned_strength" BIGINT
);

N 37 Home Guards And Auxilliary Force

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_37_home_guards_and_auxilliary_force
  • 16.31 KB
  • 333 rows
  • 9 columns
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CREATE TABLE n_37_home_guards_and_auxilliary_force (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "hg_lower_subordinates_actual_strength" DOUBLE,
  "hg_lower_subordinates_sanctioned_strength" DOUBLE,
  "hg_officers_actual_strength" DOUBLE,
  "hg_officers_sanctioned_strength" DOUBLE,
  "hg_upper_subordinates_actual_strength" DOUBLE,
  "hg_upper_subordinates_sanctioned_strength" DOUBLE
);

N 38 Unidentified Dead Bodies Recovered And Inquest Conducted

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_38_unidentified_dead_bodies_recovered_and_inquest_conducted
  • 7.25 KB
  • 314 rows
  • 4 columns
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CREATE TABLE n_38_unidentified_dead_bodies_recovered_and_inquest_conducted (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "unidentified_dead_bodies_recovered_inquest_conducted" BIGINT
);

N 39 Specific Purpose Of Kidnapping And Abduction

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_39_specific_purpose_of_kidnapping_and_abduction
  • 91.6 KB
  • 3569 rows
  • 21 columns
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CREATE TABLE n_39_specific_purpose_of_kidnapping_and_abduction (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "k_a_cases_reported" DOUBLE,
  "k_a_female_10_15_years" DOUBLE,
  "k_a_female_15_18_years" DOUBLE,
  "k_a_female_18_30_years" DOUBLE,
  "k_a_female_30_50_years" DOUBLE,
  "k_a_female_above_50_years" DOUBLE,
  "k_a_female_total" DOUBLE,
  "k_a_female_upto_10_years" DOUBLE,
  "k_a_grand_total" DOUBLE,
  "k_a_male_10_15_years" DOUBLE,
  "k_a_male_15_18_years" DOUBLE,
  "k_a_male_18_30_years" DOUBLE,
  "k_a_male_30_50_years" DOUBLE,
  "k_a_male_above_50_years" DOUBLE,
  "k_a_male_total" DOUBLE,
  "k_a_male_upto_10_years" DOUBLE
);

N 40–01 Custodial Death Person Remanded

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_40_01_custodial_death_person_remanded
  • 13.36 KB
  • 211 rows
  • 12 columns
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CREATE TABLE n_40_01_custodial_death_person_remanded (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "cd_deaths_reported" DOUBLE,
  "cd_no_of_autopsy_conducted" DOUBLE,
  "cd_no_of_cases_registered_in_connection_with_deaths" DOUBLE,
  "cd_no_of_judicial_enquiry_orderedconducted" DOUBLE,
  "cd_no_of_magisterial_enquiry_orderedconducted" DOUBLE,
  "cd_no_of_policemen_charge_sheeted" DOUBLE,
  "cd_no_of_policemen_convicted" DOUBLE
);

N 40–02 Custodial Death Person Not Remanded

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_40_02_custodial_death_person_not_remanded
  • 13.66 KB
  • 228 rows
  • 12 columns
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CREATE TABLE n_40_02_custodial_death_person_not_remanded (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "cd_deaths_reported" BIGINT,
  "cd_no_of_autopsy_conducted" DOUBLE,
  "cd_no_of_cases_registered_in_connection_with_deaths" DOUBLE,
  "cd_no_of_judicial_enquiry_orderedconducted" DOUBLE,
  "cd_no_of_magisterial_enquiry_orderedconducted" DOUBLE,
  "cd_no_of_policemen_charge_sheeted" DOUBLE,
  "cd_no_of_policemen_convicted" DOUBLE
);

N 40–03 Custodial Death During Production

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_40_03_custodial_death_during_production
  • 13.43 KB
  • 204 rows
  • 12 columns
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CREATE TABLE n_40_03_custodial_death_during_production (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "cd_deaths_reported" BIGINT,
  "cd_no_of_autopsy_conducted" DOUBLE,
  "cd_no_of_cases_registered_in_connection_with_deaths" DOUBLE,
  "cd_no_of_judicial_enquiry_orderedconducted" DOUBLE,
  "cd_no_of_magisterial_enquiry_orderedconducted" DOUBLE,
  "cd_no_of_policemen_charge_sheeted" DOUBLE,
  "cd_no_of_policemen_convicted" DOUBLE
);

N 40–04 Custodial Death During Hospitalization Or Treatment

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_40_04_custodial_death_during_hospitalization_or_treatment
  • 7.05 KB
  • 213 rows
  • 6 columns
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CREATE TABLE n_40_04_custodial_death_during_hospitalization_or_treatment (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "cd_hospitalisation_treatment" BIGINT
);

N 40–05 Custodial Death Others

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_40_05_custodial_death_others
  • 11.41 KB
  • 233 rows
  • 11 columns
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CREATE TABLE n_40_05_custodial_death_others (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "cd_accidents" DOUBLE,
  "cd_by_mob_attackriots" DOUBLE,
  "cd_by_other_criminals" DOUBLE,
  "cd_by_suicide" DOUBLE,
  "cd_illnessnatural_death" DOUBLE,
  "cd_while_escaping_from_custody" DOUBLE
);

N 41 Escapes From Police Custody

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_41_escapes_from_police_custody
  • 30.13 KB
  • 311 rows
  • 22 columns
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CREATE TABLE n_41_escapes_from_police_custody (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "epc_cases_cases_acquitted" DOUBLE,
  "epc_cases_cases_convicted" DOUBLE,
  "epc_cases_cases_pending_for_trial" DOUBLE,
  "epc_cases_registered" DOUBLE,
  "epc_cases_trial_completed" DOUBLE,
  "epc_escapees_re_arrested_from_lockup" DOUBLE,
  "epc_escapees_re_arrested_from_others" DOUBLE,
  "epc_fr_submitted" DOUBLE,
  "epc_persons_awarded_more_than_3_years_imprisonment" DOUBLE,
  "epc_persons_awarded_upto_3_years_imprisonment" DOUBLE,
  "epc_persons_cases_acquitted" DOUBLE,
  "epc_persons_cases_convicted" DOUBLE,
  "epc_persons_cases_pending_for_trial" DOUBLE,
  "epc_persons_chargesheeted_for_escape" DOUBLE,
  "epc_persons_escaped" DOUBLE,
  "epc_persons_escaped_from_lockup" DOUBLE,
  "epc_persons_escaped_outside_the_lockup" DOUBLE,
  "epc_persons_escaped_total" DOUBLE,
  "epc_persons_trial_completed" DOUBLE
);

N 42 Cases Under Crime Against Women

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_42_cases_under_crime_against_women
  • 143.79 KB
  • 2765 rows
  • 23 columns
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CREATE TABLE n_42_cases_under_crime_against_women (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "cases_acquitted_or_discharged" BIGINT,
  "cases_charge_sheets_were_not_laid_but_final_report_submitted" BIGINT,
  "cases_chargesheeted" BIGINT,
  "cases_compounded_or_withdrawn" BIGINT,
  "cases_convicted" BIGINT,
  "cases_declared_false_on_account_of_mistake_of_fact_or_of_law" BIGINT,
  "cases_investigated_chargesheets_fr_submitted" BIGINT,
  "cases_not_investigated_or_in_which_investigation_was_refused" BIGINT,
  "cases_pending_investigation_at_year_end" BIGINT,
  "cases_pending_investigation_from_previous_year" BIGINT,
  "cases_pending_trial_at_year_end" BIGINT,
  "cases_pending_trial_from_the_previous_year" BIGINT,
  "cases_reported" BIGINT,
  "cases_sent_for_trial" BIGINT,
  "cases_trials_completed" BIGINT,
  "cases_withdrawn_by_the_govt" BIGINT,
  "cases_withdrawn_by_the_govt_during_investigation" BIGINT,
  "total_cases_for_trial" BIGINT
);

N 42 District Wise Crimes Committed Against Women 2001–2012

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_42_district_wise_crimes_committed_against_women_2001_2012
  • 143.6 KB
  • 9017 rows
  • 11 columns
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CREATE TABLE n_42_district_wise_crimes_committed_against_women_2001_2012 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "rape" BIGINT,
  "kidnapping_and_abduction" BIGINT,
  "dowry_deaths" BIGINT,
  "assault_on_women_with_intent_to_outrage_her_modesty" BIGINT,
  "insult_to_modesty_of_women" BIGINT,
  "cruelty_by_husband_or_his_relatives" BIGINT,
  "importation_of_girls" BIGINT
);

N 42 District Wise Crimes Committed Against Women 2013

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_42_district_wise_crimes_committed_against_women_2013
  • 30.78 KB
  • 823 rows
  • 11 columns
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CREATE TABLE n_42_district_wise_crimes_committed_against_women_2013 (
  "index" BIGINT,
  "state_ut" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "rape" BIGINT,
  "kidnapping_and_abduction" BIGINT,
  "dowry_deaths" BIGINT,
  "assault_on_women_with_intent_to_outrage_her_modesty" BIGINT,
  "insult_to_modesty_of_women" BIGINT,
  "cruelty_by_husband_or_his_relatives" BIGINT,
  "importation_of_girls" BIGINT
);

N 42 District Wise Crimes Committed Against Women 2014

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_42_district_wise_crimes_committed_against_women_2014
  • 107.54 KB
  • 837 rows
  • 63 columns
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CREATE TABLE n_42_district_wise_crimes_committed_against_women_2014 (
  "index" BIGINT,
  "states_uts" VARCHAR,
  "district" VARCHAR,
  "year" BIGINT,
  "rape" BIGINT,
  "custodial_rape" BIGINT,
  "custodial_gang_rape" BIGINT,
  "custodial_other_rape" BIGINT,
  "rape_other_than_custodial" BIGINT,
  "rape_gang_rape" BIGINT,
  "rape_others" BIGINT,
  "attempt_to_commit_rape" BIGINT,
  "kidnapping_abduction_total" BIGINT,
  "kidnaping_abduction" BIGINT,
  "kidnaping_abduction_in_order_to_murder" BIGINT,
  "kidnapping_for_ransom" BIGINT,
  "kidnapping_abduction_of_women_to_compel_her_for_marriage" BIGINT,
  "kidnaping_abduction_others" BIGINT,
  "dowry_deaths" BIGINT,
  "assault_on_women_with_intent_to_outrage_her_modesty_total" BIGINT,
  "sexual_harassment" BIGINT,
  "assault_on_women_with_intent_to_disrobe" BIGINT,
  "voyeurism" BIGINT,
  "stalking" BIGINT,
  "others" BIGINT,
  "insult_to_the_modesty_of_women_total" BIGINT,
  "at_office_premises" BIGINT,
  "in_places_related_to_work" BIGINT,
  "in_public_transport_system" BIGINT,
  "in_other_places" BIGINT,
  "cruelty_by_husband_or_his_relatives" BIGINT,
  "importation_of_girls_from_foreign_country" BIGINT,
  "murder" BIGINT,
  "attempt_to_commit_murder" BIGINT,
  "culpable_homicide_not_amounting_to_murder" BIGINT,
  "attempt_to_commit_culpable_homicide" BIGINT,
  "grievous_hurt" BIGINT,
  "hurt" BIGINT,
  "acid_attack" BIGINT,
  "attempt_to_acid_attack" BIGINT,
  "deaths_caused_with_intent_to_cause_miscarriage" BIGINT,
  "causing_miscarriage_without_consent_of_women" BIGINT,
  "dacoity_total" BIGINT,
  "dacoity_with_murder" BIGINT,
  "other_dacoity" BIGINT,
  "robbery" BIGINT,
  "arson" BIGINT,
  "humantrafficking" BIGINT,
  "abetment_of_suicides_of_women" BIGINT,
  "unnatural_offences" BIGINT,
  "other_ipc_crimes" BIGINT,
  "dowry_prohibition_act_1961" BIGINT,
  "indecent_representation_of_women_p_act_1986" BIGINT,
  "commission_of_sati_prevention_act_1987" BIGINT,
  "protection_of_women_from_domestic_violence_act_2005" BIGINT,
  "immoral_traffic_prevention_act" BIGINT,
  "itp_under_section_5" BIGINT,
  "itp_under_section_6" BIGINT,
  "itp_under_section_7" BIGINT,
  "itp_under_section_8" BIGINT,
  "itp_under_other_sections" BIGINT,
  "other_sll_crimes_against_women" BIGINT,
  "total_crimes_against_women" BIGINT
);

N 43 Arrests Under Crime Against Women

@kaggle.thedevastator_crime_trends_in_india_from_2001_to_2020.n_43_arrests_under_crime_against_women
  • 120.88 KB
  • 2765 rows
  • 17 columns
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CREATE TABLE n_43_arrests_under_crime_against_women (
  "index" BIGINT,
  "area_name" VARCHAR,
  "year" BIGINT,
  "group_name" VARCHAR,
  "sub_group_name" VARCHAR,
  "persons_acquitted" BIGINT,
  "persons_against_whom_cases_compounded_or_withdrawn" BIGINT,
  "persons_arrested" BIGINT,
  "persons_chargesheeted" BIGINT,
  "persons_convicted" BIGINT,
  "persons_in_custody_or_on_bail_during_investigation_at__30a0e7fb" BIGINT,
  "persons_in_custody_or_on_bail_during_investigation_at_year_end" BIGINT,
  "persons_in_custody_or_on_bail_during_trial_at_year_end" BIGINT,
  "persons_released_or_freed_by_police_or_magistrate_befo_efa0e070" BIGINT,
  "persons_trial_completed" BIGINT,
  "persons_under_trial_at_year_beginning" BIGINT,
  "total_persons_under_trial" BIGINT
);

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