Baselight

Women's Crimes In India

Characteristics, Frequency, and Motives

@kaggle.thedevastator_uncovering_trends_in_women_s_crimes_in_india_200

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About this Dataset

Women's Crimes In India


Women's Crimes in India

Characteristics, Frequency, and Motives

By Rajanand Ilangovan [source]


About this dataset

This dataset contains extensive information about various types of crimes that happened in India from 2001 to 2019. Using this dataset, one can gain a deep insight into the crime trend and various factors that can be identified for analysing it. From Area_Name, Year, Sub_Group and CPA Cases Registered to Persons Acquitted- This dataset covers almost every single aspect of Crime against women in India while also giving a glance at other related aspects such as Auto-Theft Coordinated or Traced and Trials completed by courts. It is immensely helpful in understanding the crime patterns of India over time and make predictions accordingly

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How to use the dataset

Using this dataset, we can gain unparalleled insight into the prevalence and distribution of crimes against women over this period in different parts across India as well as within each state. This could be used for further research into the social impact on certain areas with heightened crime rates or for governmental organizations striving for initiatives to combat such criminal activities.

Research Ideas

  • Analyzing patterns in violent crimes against women and children, such as the number of reported cases, total convictions and acquittals.
  • Examining trends in different types of crime by state or city over time to identify hotspots or regional crime issues.
  • Comparing police personnel performance to analyze effectiveness of action taken against certain types of crime in different areas over time

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 Name of the area where the crime was committed. (String)
Year Year in which the crime was committed. (Integer)
Sub_group Type of crime committed. (String)
CPA_-_Cases_Registered Number of cases registered in the given year. (Integer)
CPA_-_Cases_Reported_for_Dept._Action Number of cases reported to the department for action. (Integer)
CPA_-_Complaints/Cases_Declared_False/Unsubstantiated Number of complaints/cases declared false or unsubstantiated. (Integer)
CPA_-_Complaints_Received/Alleged Number of complaints received or alleged. (Integer)
CPA_-_No_of_Departmental_Enquiries Number of departmental enquiries. (Integer)
CPA_-_No_of_Magisterial_Enquiries Number of magisterial enquiries. (Integer)
CPA-_Cases_Sent_for_Trials/Charge-sheeted Number of cases sent for trial or charge-sheeted. (Integer)
CPA-_No_of_Judicial_Enquiries Number of judicial enquiries. (Integer)
CPB_-_Police_Personnel_Acquitted Number of police personnel acquitted. (Integer)
CPB_-_Police_Personnel_Convicted Number of police personnel convicted. (Integer)
CPB_-_Police_Personnel_sent_up_for_Trial Number of police personnel sent up for trial. (Integer)
CPB_-_Police_Personnel_Trial_Completed Number of police personnel trials completed. (Integer)
CPB-_Police_Personnel_Cases_Withdrawn_or_Otherwise_disposed_of Number of police personnel cases withdrawn or otherwise disposed of. (Integer)
CPC_-_Police_personnel_Cases_Trial_Completed Number of police personnel cases trial completed. (Integer)
CPC_-_Police_Personnel_Cases_Withdrawn_or_Otherwise_disposed_of Number of police

File: 21_Offenders_known_to_the_victim.csv

Column name Description
Area_Name Name of the area where the crime was committed. (String)
Year Year in which the crime was committed. (Integer)
No_of_Cases_in_which_offenders_were_known_to_the_Victims Number of cases in which the offender was known to the victim. (Integer)
No_of_Cases_in_which_offenders_were_Neighbours Number of cases in which the offender was a neighbour of the victim. (Integer)
No_of_Cases_in_which_offenders_were_Other_Known_persons Number of cases in which the offender was an acquaintance of the victim. (Integer)
No_of_Cases_in_which_offenders_were_Parentsclose_family_members 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 Number of cases in which the offender was a relative of the victim. (Integer)

File: 08_01_Juvenile_apprehended_state_IPC.csv

Column name Description
Year Year in which the crime was committed. (Integer)
STATE/UT State or Union Territory in which the crime was committed. (String)
CRIME Type of crime committed. (String)
Boys 7-12 Years Number of boys aged 7-12 years involved in the crime. (Integer)
Girls 7-12 Years Number of girls aged 7-12 years involved in the crime. (Integer)
Boys 12-16 Years Number of boys aged 12-16 years involved in the crime. (Integer)
Girls 12-16 Years Number of girls aged 12-16 years involved in the crime. (Integer)
Boys 16-18 Years Number of boys aged 16-18 years involved in the crime. (Integer)
Girls 16-18 Years Number of girls aged 16-18 years involved in the crime. (Integer)
Total for boys all Age Groups Total number of boys involved in the crime across all age groups. (Integer)
Total for girls all Age Groups Total number of girls involved in the crime across all age groups. (Integer)
Grand total Total number of people involved in the crime across all age groups. (Integer)

File: 28_Trial_of_violent_crimes_by_courts.csv

Column name Description
Area_Name Name of the area where the crime was committed. (String)
Year Year in which the crime was committed. (Integer)
Group_Name Type of crime committed. (String)
Sub_Group_Name Sub-category of the crime committed. (String)
Trial_of_Violent_Crimes_by_Courts_By_Confession Number of violent crimes tried by courts through confessions. (Integer)
Trial_of_Violent_Crimes_by_Courts_By_trial Number of violent crimes tried by courts through trials. (Integer)
Trial_of_Violent_Crimes_by_Courts_Total Total number of violent crimes tried by courts. (Integer)

File: 43_Arrests_under_crime_against_women.csv

Column name Description
Area_Name Name of the area where the crime was committed. (String)
Year Year in which the crime was committed. (Integer)
Group_Name Type of crime committed. (String)
Sub_Group_Name Sub-category of the crime committed. (String)
Persons_Acquitted Number of persons acquitted in the crime. (Integer)
Persons_against_whom_cases_Compounded_or_Withdrawn Number of persons against whom cases were compounded or withdrawn. (Integer)
Persons_Arrested Number of persons arrested in the crime. (Integer)
Persons_Chargesheeted Number of persons chargesheeted in the crime. (Integer)
Persons_Convicted Number of persons convicted in the crime. (Integer)
Persons_in_Custody_or_on_Bail_during_Investigation_at_Year_beginning Number of persons in custody or on bail during investigation at the beginning of the year. (Integer)
Persons_in_Custody_or_on_Bail_during_Investigation_at_Year_end Number of persons in custody or on bail during investigation at the end of the year. (Integer)
Persons_in_Custody_or_on_Bail_during_Trial_at_Year_End Number of persons in custody or on bail during trial at the end of the year. (Integer)
Persons_Trial_Completed Number of persons whose trial was completed. (Integer)
Persons_under_Trial_at_Year_beginning Number of persons under trial at the beginning of the year. (Integer)
Total_Persons_under_Trial Total number of persons under trial. (Integer)

File: 13_Police_killed_or_injured_on_duty.csv

Column name Description
Area_Name Name of the area where the crime was committed. (String)
Year Year in which the crime was committed. (Integer)
Group_Name Type of crime committed. (String)
Sub_Group_Name Sub-category of the crime committed. (String)
Police_Injured_By_Criminals Number of police personnel injured by criminals. (Integer)
Police_Injured_By_Riotous_Mobs Number of police personnel injured by riotous mobs. (Integer)
Police_Injured_In_TerroristsExtremists_Operations Number of police personnel injured in terrorist/extremist operations. (Integer)
Police_Injured_On_Border_Duties Number of police personnel injured on border duties. (Integer)
Police_Injured_Total_Policemen Total number of police personnel injured. (Integer)
Police_Killed_By_Criminals Number of police personnel killed by criminals. (Integer)
Police_Killed_By_Riotous_Mobs Number of police personnel killed by riotous mobs. (Integer)
Police_Killed_In_TerroristsExtremists_Operations Number of police personnel killed in terrorist/extremist operations. (Integer)
Police_Killed_On_Border_Duties Number of police personnel killed on border duties. (Integer)
Police_Killed_Total_Policemen Total number of police personnel killed. (Integer)

File: 30_Auto_theft.csv

Column name Description
Area_Name Name of the area where the crime was committed. (String)
Year Year in which the crime was committed. (Integer)
Group_Name Type of crime committed. (String)
Sub_Group_Name Sub-category of the crime committed. (String)
Auto_Theft_Coordinated/Traced Number of auto thefts that have been coordinated/traced. (Integer)
Auto_Theft_Recovered Number of auto thefts that have been recovered. (Integer)
Auto_Theft_Stolen Number of auto thefts that have been stolen. (Integer)

File: 17_Crime_by_place_of_occurrence_2013.csv

Column name Description
STATE/UT State or Union Territory in which the crime was committed. (String)
YEAR Year in which the crime was committed. (Integer)
HIGHWAYS - Dacoity Number of dacoity cases reported on highways. (Integer)
**HIGHWAYS ** Number of theft cases reported on highways. (Integer)
HIGHWAYS - Robbery Number of robbery cases reported on highways. (Integer)
HIGHWAYS - Burglary Number of burglary cases reported on highways. (Integer)
HIGHWAYS - Theft Number of theft cases reported on highways. (Integer)
RIVER and SEA - Dacoity Number of dacoity cases reported on rivers and seas. (Integer)
**RIVER and SEA ** Number of theft cases reported on rivers and seas. (Integer)
RIVER and SEA - Robbery Number of robbery cases reported on rivers and seas. (Integer)
RIVER and SEA - Burglary Number of burglary cases reported on rivers and seas. (Integer)
RIVER and SEA - Theft Number of theft cases reported on rivers and seas. (Integer)
RAILWAYS - Dacoity Number of dacoity cases reported on railways. (Integer)
**RAILWAYS ** Number of theft cases reported on railways. (Integer)
RAILWAYS - Robbery Number of robbery cases reported on railways. (Integer)
RAILWAYS - Burglary Number of burglary cases reported on railways. (Integer)
RAILWAYS - Theft Number of theft cases reported on railways. (Integer)
BANKS - Dacoity Number of dacoity cases reported on banks. (Integer)
**BANKS ** Number of theft cases reported on banks. (Integer)
BANKS - Robbery Number of robbery cases reported on banks. (Integer)
BANKS - Burglary Number of burglary cases reported on banks. (Integer)
BANKS - Theft Number of theft cases reported on banks. (Integer)
COMMERCIAL ESTABLISHMENTS - Dacoity Number of dacoity cases reported on commercial establishments. (Integer)
**COMMERCIAL ESTABLISHMENTS ** Number of burglary cases reported on commercial establishments. (Integer)
COMMERCIAL ESTABLISHMENTS - Robbery Number of robbery cases reported on commercial establishments. (Integer)
COMMERCIAL ESTABLISHMENTS - Burglary Number of burglary cases reported on commercial establishments. (Integer)

File: 03_Persons_arrested_and_their_disposal_by_police_and_court_under_crime_against_children_2013.csv

Column name Description
STATE/UT State or Union Territory in which the crime was committed. (String)
CRIME HEAD Type of crime committed. (String)
Persons in custody or on bail during the stage of investigation at the beginning of the year Number of persons in custody or on bail during the stage of investigation at the beginning of the year. (Integer)
Persons arrested during the year Number of persons arrested during the year. (Integer)
Persons in custody or on bail during the stage of investigation at the end of the year Number of persons in custody or on bail during the stage of investigation at the end of the year. (Integer)
Persons under trial at the beginning of the year Number of persons under trial at the beginning of the year. (Integer)
Total number of persons under trial during the year Total number of persons under trial during the year. (Integer)
Persons against whom cases were compounded or withdrawn Number of persons against whom cases were compounded or withdrawn. (Integer)
Persons in custody or on bail during the stage of trial at the end of the year Number of persons in custody or on bail during the stage of trial at the end of the year. (Integer)
Persons in whose cases trials were completed during the year Number of persons in whose cases trials were completed during the year. (Integer)
Persons convicted Number of persons convicted. (Integer)
Persons acquitted Number of persons acquitted. (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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.n_04_01_person_arrested_and_their_disposal_by_police_a_6f8e2765
  • 27.43 KB
  • 418 rows
  • 15 columns
Loading...

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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.n_07_01_persons_arrested_by_sex_and_age_group_ipc_2013
  • 53.12 KB
  • 1140 rows
  • 16 columns
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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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.n_07_02_persons_arrested_by_sex_and_age_group_sll_2013
  • 37.98 KB
  • 1026 rows
  • 16 columns
Loading...

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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.n_30_auto_theft
  • 30.46 KB
  • 1865 rows
  • 8 columns
Loading...

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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.n_40_03_custodial_death_during_production
  • 13.43 KB
  • 204 rows
  • 12 columns
Loading...

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_uncovering_trends_in_women_s_crimes_in_india_200.n_40_04_custodial_death_during_hospitalization_or_treatment
  • 7.05 KB
  • 213 rows
  • 6 columns
Loading...

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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.n_42_cases_under_crime_against_women
  • 143.79 KB
  • 2765 rows
  • 23 columns
Loading...

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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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_uncovering_trends_in_women_s_crimes_in_india_200.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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