In 2022, there were 1952 crime cases reported per 100,000 inhabitants in the Indian city of Delhi. This was followed by the city of Kochi, with over *** thousand criminal cases that year.

Dataset Description:

This dataset contains crime statistics in India, categorized by State/Union Territory (STATE/UT) and District (DISTRICT) on a yearly basis (YEAR). It provides insights into various criminal activities reported across different regions of India.

Columns:

1. STATE/UT: The State or Union Territory where the crime was reported.
2. DISTRICT: The district within the State/UT where the crime was reported.
3. YEAR: The year when the crime was reported.
4. MURDER: Number of reported cases of murder.
5. ATTEMPT TO MURDER: Number of reported cases of attempted murder.
6. CULPABLE HOMICIDE NOT AMOUNTING TO MURDER: Number of reported cases of culpable homicide not amounting to murder.
7. RAPE: Number of reported cases of rape.
8. CUSTODIAL RAPE: Number of reported cases of custodial rape.
9. OTHER RAPE: Number of reported cases of rape other than custodial rape.
10. KIDNAPPING & ABDUCTION: Number of reported cases of kidnapping and abduction.
11. KIDNAPPING AND ABDUCTION OF WOMEN AND GIRLS: Number of reported cases of kidnapping and abduction of women and girls.
12. KIDNAPPING AND ABDUCTION OF OTHERS: Number of reported cases of kidnapping and abduction of others.
13. DACOITY: Number of reported cases of dacoity.
14. PREPARATION AND ASSEMBLY FOR DACOITY: Number of reported cases related to preparation and assembly for dacoity.
15. ROBBERY: Number of reported cases of robbery.
16. BURGLARY: Number of reported cases of burglary.
17. THEFT: Number of reported cases of theft.
18. AUTO THEFT: Number of reported cases of auto theft.
19. OTHER THEFT: Number of reported cases of other theft.
20. RIOTS: Number of reported cases of riots.
21. CRIMINAL BREACH OF TRUST: Number of reported cases of criminal breach of trust.
22. CHEATING: Number of reported cases of cheating.
23. COUNTERFIETING: Number of reported cases of counterfeiting.
24. ARSON: Number of reported cases of arson.
25. HURT/GREVIOUS HURT: Number of reported cases of hurt/grievous hurt.
26. DOWRY DEATHS: Number of reported cases of dowry deaths.
27. ASSAULT ON WOMEN WITH INTENT TO OUTRAGE HER MODESTY: Number of reported cases of assault on women with intent to outrage her modesty.
28. INSULT TO MODESTY OF WOMEN: Number of reported cases of insult to modesty of women.
29. CRUELTY BY HUSBAND OR HIS RELATIVES: Number of reported cases of cruelty by husband or his relatives.
30. IMPORTATION OF GIRLS FROM FOREIGN COUNTRIES: Number of reported cases of importation of girls from foreign countries.
31. CAUSING DEATH BY NEGLIGENCE: Number of reported cases of causing death by negligence.
32. OTHER IPC CRIMES: Number of reported cases of other IPC crimes.
33. TOTAL IPC CRIMES: Total number of reported IPC crimes.

Data on total Accidental deaths and suicides for 2021

In 2022, over ** out of every 100 thousand women in India were victims of a crime. In comparison to the last year's figures, a rise in the crime rate was observed. Several psychological and patriarchal factors can result in an escalation of crime against women.

India Cyber Crime: IPC Section: Number of Cases Registered data was reported at 33,798.000 Unit in 2022. This records an increase from the previous number of 25,384.000 Unit for 2021. India Cyber Crime: IPC Section: Number of Cases Registered data is updated yearly, averaging 738.000 Unit from Dec 2002 (Median) to 2022, with 21 observations. The data reached an all-time high of 33,798.000 Unit in 2022 and a record low of 176.000 Unit in 2008. India Cyber Crime: IPC Section: Number of Cases Registered data remains active status in CEIC and is reported by National Crime Records Bureau. The data is categorized under India Premium Database’s Crime – Table IN.CRA001: Crime Statistics.

Historical dataset showing India crime rate per 100K population by year from 1990 to 2021.

Crime rate against Children-India

Investigating Crime Trends and Patterns Across India

By Bhavna Chawla [source]

About this dataset

This dataset provides an in-depth look at crime against children throughout India. The data, collected from state and union territories throughout the country, tracks arrests made in response to a variety of crimes including infanticide, murder of children, rape of Children, kidnapping and abduction of children, foeticide, abetment of suicide, exposure and abandonment. Additionally it looks at procuration of minor girls as well as buying or selling minors for prostitution. It also illustrates arrests made related to violation or prevention under the Prohibition Of Child Marriage Act (PCMA).

The dataset paints an unfortunately dark image across India with rising numbers each year - painfully representing the suffering these innocent minors have faced over time. Through this dataset we can not only get a better understanding on who is leading the charge in terms of crime rate but also uncover startling patterns about type specified categories that are particularly egregious when it comes to number of arrests made. By examining this data more closely together we can unravel meaningful solutions which ultimately could help protect our beloved child population from needless harm and distress

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How to use the dataset

This dataset is suitable for researchers interested in learning more about crime against children as well as government planners who may want to analyze which states have higher rates of various types of crimes and identify strategies for managing them.

To use this dataset, start by examining the main columns – STATE/UT, CRIME HEAD, 2001-2012 – which provide additional information about each row such as state or UT name and type of crime committed respectively. Then you can use a visualized comparison to evaluate trends across all the listed years: a look at total numbers or changes over time will help reveal how arrests vary among different categories or within a particular year; it will also identify areas with particularly high numbers that need more attention from policy makers. These visualizations can also be compared with statistics on population density or socio-economic characteristics such as literacy rate or poverty levels to get further insights into characterizing patterns for targeted interventions that could reduce criminal activities towards vulnerable communities.

Additionally, you could use this dataset combined with other external sources/variables (governance measures taken against certain categories etc.) to build predictive models that identify relationships between risks factors associated with higher rate of specific type(s) criminal activities prevailing amongst certain age group(s). Such approaches would help contribute towards evidence informed public safety interventions, public health initiatives and legal systems strengthening over time specifically targeting those districts where higher rates are taking place so that people especially women & girls are protected from any form physical abuse & harassment leading potential threat on their living condition & livelihood opportunities eventually affecting national development levels if left unchecked regularly each year progressing forward

Research Ideas

• This dataset could be used to identify the states with the highest crime rates against children, and explore any potential correlations between crime statistics and social or economic factors in those states.
• This dataset can also be used to analyze state-wise trends over time to assess whether government initiatives aimed at curbing crimes against children have been effective or not.
• The dataset can also help researchers examine which type of crimes are most prevalent in each state/UT and come up with ways to reduce these crimes via policy measures or public outreach programs, etc

Acknowledgements

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

License

See the dataset description for more information.

Columns

File: Crime head-wise persons arrested under crime against children during 2001-2012.csv | Column name | Description | |:---------------|:----------------------------------------------------------------| | STATE/UT | The state or union territory in India. (String) | | CRIME HEAD | The type of crime against chi...

Pulwama attack

Theft was the most frequently committed crime against foreign nationals in India in 2022. ** total incidents of theft against foreigners occurred that year, which included ** instances of theft committed against foreign tourists.

In India in 2022, the crime rate against children in the capital territory of Delhi was at ***** per 100,000 children. This was followed by the union territory of Andaman and Nicobar with *** reported cases per 100,000 child population.

India Court Conviction Rate data was reported at 54.200 % in 2022. This records a decrease from the previous number of 57.000 % for 2021. India Court Conviction Rate data is updated yearly, averaging 42.500 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 59.200 % in 2020 and a record low of 38.500 % in 2012. India Court Conviction Rate data remains active status in CEIC and is reported by National Crime Records Bureau. The data is categorized under India Premium Database’s Crime – Table IN.CRA001: Crime Statistics.

This dataset provides year-wise counts and crime rates for IPC offences in India, covering major crime heads such as offences against the human body (murder, rape, assault, kidnapping), offences against property (theft, robbery, burglary), public tranquillity offences (riots, unlawful assembly), and miscellaneous crimes including forgery, cheating, cruelty by husband, rash driving, and insult to modesty.

The dataset contains year-, state and city-wise compiled data on number and rate of crimes committed against children in the india cities with over 2 million population, as per annual yearly crime records data published by National Crimes Records Bureau (NCRB)

Crime in India (Arrests Over Time)

Evaluating Variations in Arrests Across IPC Crimes

By Shekhar Dhiman [source]

About this dataset

This Kaggle Dataset provides highly insightful information on the trends of arrests made in India for crimes committed under the Indian Penal Code (IPC). It is based on statistics collected by the open archives of the government of India, covering year 2015 with a comparison to 2014. With this data set, we can gain deeper knowledge into the crime patterns in India and observe how they have evolved over time. By examining various aspects such as crime head, number and percentages of arrestees in each category, we can gain valuable perspectives on current crime rates and formulate ways to further reduce incidents that threaten law and order. Dive deep into this dataset now to find answers: What type of crimes are most prominent? Are arrests trending up or down since last year? How do these incidents vary across regional boundaries? The possibilities are endless!

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How to use the dataset

How to Use this Dataset

This dataset offers insight into the types of crimes committed in India under the Indian Penal Code (IPC) and their respective rates of arrests. This dataset can be used to track changes in rates of arrests, provide a more comprehensive understanding on crime rate trends in India.

To use this dataset, you should understand the following columns: - Crime Head: The type of crime committed according to Indian Penal Code (IPC). - The number of persons arrested for the crime each year. - Percentage Variation: The percentage change in number of persons arrested for the crime - Percentage Share of Arrestees under Each Crime: The percentage of persons arrested for each type of crime compared to total arrests done in all crimes during that year.

With these columns, you can determine which IPC crimes were most commonly committed or saw an increase or decrease in arrest. Additionally, by comparing Percentage Variation Rate with Percentage Share Of Arrestees Under Each Crime we can determine which type(s) have seen an increasing grasp over years and vice versa!

Research Ideas

• Leveraging the data to form correlations between different crime types and areas of residence, to identify crime hot spots across India.
• Conducting an analysis on the year-on-year variation in arrests for each crime category, to identify trends in criminal activity.
• Using the percentage share data to better prioritize law enforcement efforts towards tackling particular crimes or regions of increased activity

Acknowledgements

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

License

Unknown License - Please check the dataset description for more information.

Columns

File: IPC_Crimes_2015.csv | Column name | Description | |:---------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------| | Crime Head | The type of crime being reported. (String) | | 2014 | The number of arrests made in 2014 for the corresponding crime. (Integer) | | 2015 | The number of arrests made in 2015 for the corresponding crime. (Integer) | | Percentage Variation in 2015 Over 2014 | The percentage change in the number of arrests made in 2015 compared to 2014. (Float) | | Percentage Share of Arrestees under Each Crime During 2015 | The percentage of arrests made in 2015 for the corresponding crime compared to the total number of arrests made in 2015. (Float) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Shekhar Dhiman.

NCRB functions as the repository of information on crime and criminals so as to assist the investigators in linking crime to the perpetrators. Subsequently, NCRB was entrusted with the responsibility for monitoring, coordinating and implementing the Crime and Criminal Tracking Network & Systems (CCTNS). NCRB also compiles and publishes National Crime Statistics i.e. Crime in India, Accidental Deaths & Suicides and also Prison Statistics. These publications serve as principal reference point by policy makers, police, criminologists, researchers and media, both in India and abroad. NCRB has been conferred with Silver award during Digital India Awards 2016 under Open Data Championship category from the Government of India for uploading Crime Statistics since 1953 on Govt. Portal.This layer contains information on violent crime incidence (crime head-wise as well as state/ UT wise) during 2010 - 2022, which was published by the Bureau on their website. Along with total violent crimes from 2010 to 2020, following related information are also available in the attribute table:Mid Year Projected PopulationRate of Violent Crimes in 2022 Charge sheeting Rate in 2022Source: https://www.ncrb.gov.in/crime-in-india-year-wise.html?year=2022&keyword= Pg No 195This map layer is offered by Esri India, for ArcGIS Online subscribers. If you have any question or comments, please let us know via content@esri.in.

NCRB functions as the repository of information on crime and criminals so as to assist the investigators in linking crime to the perpetrators. Subsequently, NCRB was entrusted with the responsibility for monitoring, coordinating and implementing the Crime and Criminal Tracking Network & Systems (CCTNS). NCRB also compiles and publishes National Crime Statistics i.e. Crime in India, Accidental Deaths & Suicides and also Prison Statistics. These publications serve as principal reference point by policy makers, police, criminologists, researchers and media, both in India and abroad. NCRB has been conferred with Silver award during Digital India Awards 2016 under Open Data Championship category from the Government of India for uploading Crime Statistics since 1953 on Govt. Portal.This layer contains information on violent crime incidence (crime head-wise as well as state/ UT wise) during 2010 - 2022, which was published by the Bureau on their website. Along with total violent crimes from 2010 to 2020, following related information are also available in the attribute table:Mid Year Projected PopulationRate of Violent Crimes in 2022 Charge sheeting Rate in 2022Source: https://www.ncrb.gov.in/crime-in-india-year-wise.html?year=2022&keyword= Pg No 195This map layer is offered by Esri India, for ArcGIS Online subscribers. If you have any question or comments, please let us know via content@esri.in.

The dataset contains year and age group wise on number of different types of crimes committed against women, number of victims, and their crime rate in Indian states. The types of crimes covered in the dataset include offences under Indian Penal Code (IPC), such as Assault on Women with intent to outrage her Modesty, Acid Attack, Kidnapping and Abduction, Miscarriage, Rape, Abetment to Suicide, Murder, Trafficking, Insult ot the modesty, and crimes under other legislations such as, Immoral Traffic Act, Protection of Women from Domestic Violence Act - Cruelty by Husband or his relatives, Protection of Children from Sexual Offences Act, Cyber Crimes/Information Technology Act, Dowry Prohibition Act, Indecent Representation of Women Act, etc.

India Cyber Crime: IPC Section: Number of Persons Arrested data was reported at 33,798.000 Person in 2022. This records an increase from the previous number of 25,384.000 Person for 2021. India Cyber Crime: IPC Section: Number of Persons Arrested data is updated yearly, averaging 1,148.000 Person from Dec 2002 (Median) to 2022, with 21 observations. The data reached an all-time high of 33,798.000 Person in 2022 and a record low of 195.000 Person in 2008. India Cyber Crime: IPC Section: Number of Persons Arrested data remains active status in CEIC and is reported by National Crime Records Bureau. The data is categorized under India Premium Database’s Crime – Table IN.CRA001: Crime Statistics.

Dataset

This dataset was created by Ayush Nagar

Contents

Haryana had the highest rates of crime against women in India in 2022 with about *** crimes reported for every 100,000 women. Among the union territories, Delhi had a crime rate against women of *** that year.