The crime rate in London was 106.4 crime offences per thousand people for the 2024/25 reporting year, compared with 105.8 in the previous year. Between 2015/16 and 2019/20, the crime rate in the UK capital increased in every reporting year. The sudden drop in 2019/20 was due to the COVID-19 pandemic causing a sharp reduction in certain types of crime, such as robbery and theft. Crime patterns in the capital Overall there were 951,803 crimes reported by the police in London in 2024/25, compared with 938,020 in the previous reporting year. Types of crime that have increased recently include violent crimes, shoplifting, and theft from the person offences. One positive is that the number of homicide offences in London has fallen to much lower levels than seen in the late 2010s. Additionally, the Metropolitan Police force area has a lower crime rate than many of the UK's other major police forces, such as West Yorkshire, Greater Manchester, and South Yorkshire. Police recruitment drive ends era of cuts  The rise in crime in London happened alongside a decline in both personnel and funding for the London Metropolitan Police. Compared with 2010 for example, there were around 3,000 fewer police officers in 2018, while annual funding was reduced to around 3.3 billion pounds between 2013/14 and 2018/19, compared with 3.62 billion in 2012/13. These cuts were due to the policy of austerity that was implemented by the UK government during that time period, but this has recently been replaced by pledges to increase spending and to recruit more police. In 2024/25, the budget for the Metropolitan Police was over five billion pounds, while the number of officers in 2024 increased to around 35,310.

The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.

The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit https://crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.

An interactive public crime mapping application providing DC residents and visitors easy-to-understand data visualizations of crime locations, types and trends across all eight wards. Crime Cards was created by the DC Metropolitan Police Department (MPD) and Office of the Chief Technology Officer (OCTO). Special thanks to the community members who participated in reviews with MPD Officers and IT staff, and those who joined us for the #SaferStrongerSmarterDC roundtable design review. All statistics presented in Crime Cards are based on preliminary DC Index crime data reported from 2009 to midnight of today’s date. They are compiled based on the date the offense was reported (Report Date) to MPD. The application displays two main crime categories: Violent Crime and Property Crime. Violent Crimes include homicide, sex abuse, assault with a dangerous weapon (ADW), and robbery. Violent crimes can be further searched by the weapon used. Property Crimes include burglary, motor vehicle theft, theft from vehicle, theft (other), and arson. CrimeCards collaboration between the Metropolitan Police Department (MPD) and the Office of the Chief Technology Officer (OCTO).

Numbers of recorded offences, and rates of offences per thousand population, by broad crime grouping, by financial year and borough. Rate is given as per thousand population, and are calculated using mid-year population from the first part of the financial year eg For Financial year 2008-09, mid-year estimates for 2008 are used. Offences: These are confirmed reports of crimes being committed. All data relates to "notifiable offences" - which are designated categories of crimes that all police forces in England and Wales are required to report to the Home Office Crime rates are not available for Heathrow due to no population figures There were changes to the police recorded crime classifications from April 2012. Therefore caution should be used when comparing sub-groups of crime figures from 2012/13 with earlier years. Action Fraud have taken over the recording of fraud offences on behalf of individual police forces. This process began in April 2011 and was rolled out to all police forces by March 2013. Due to this change caution should be applied when comparing data over this transitional period and with earlier years. Link to data on Met Police website. Crime stats on ONS website

Dataset

This dataset was created by Nikhil Atkinson

Contents

📁Dataset Overview

This dataset contains comprehensive crime statistics reported across various divisions, ranges, and metropolitan areas in Bangladesh from 2010 to 2025. It provides a valuable insight into crime trends over 15 years, helping researchers, policymakers, journalists, and data enthusiasts to understand the dynamics of public safety in the country. This dataset contains trends based on years

📌 Key Features:

✅ Timeframe: 2010 to 2025 ✅ Regional Breakdown: DMP=Dhaka Metropolitan Police CMP=Chattogram Metropolitan Police KMP=Khulna Metropolitan Police RMP=Rajshahi Metropolitan Police BMP=Barishal Metropolitan Police SMP=Sylhet Metropolitan Police RPMP=Rangpur Metropolitan Police GMP=Gazipur Metropolitan Police Dhaka Range Mymensingh Range Chittagong Range Sylhet Range Khulna Range Barishal Range Rajshahi Range Rangpur Range Ralway Range

📚 Columns : 'Names of Unit', 'Dacoity', 'Robbery', 'Murder', 'Speedy Trial', 'Riot', 'Woman & Child Repression', 'Kidnapping', 'Police Assault', 'Burglary', 'Theft', 'Other Cases', 'Arms Act', 'Explosive Act', 'Narcotics', 'Smuggling', 'year', 'Total Cases'

🧠 Possible Use Cases: 📈 Trend Analysis of criminal activity over the years

🗺️ Regional comparison of crime rates

🧾 Policy analysis for law enforcement effectiveness

📊 Data visualization and dashboard projects

🤖 Training data for machine learning models (e.g., crime prediction, anomaly detection)

📎 Source: Compiled and processed from publicly available crime records and reports by law enforcement agencies in Bangladesh.

Incident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), Canada, provinces, territories, Census Metropolitan Areas and Canadian Forces Military Police, 1998 to 2024.

As part of the quarterly release of Crime data and trends by the Office for National Statistics, data is released aggregated at police force level for the most recent rolling 12 months. The below interactive infographic allows you to click through the key crime indicators assessed to see how London (the Metropolitan Police Service) is performing compared to the rest of the country (using the same data from 12 months previously). Also included are the key performing London boroughs in each indicator during the period covered.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for DC Metropolitan Police Department (City) in District of Columbia, including incidents, statistics, demographics, and detailed incident information.

📁Dataset Overview

This dataset contains comprehensive crime statistics reported across various divisions, ranges, and metropolitan areas in Bangladesh from 2020 to 2025. It provides a valuable insight into crime trends over six years, helping researchers, policymakers, journalists, and data enthusiasts to understand the dynamics of public safety in the country.

📌 Key Features:

✅ Timeframe: 2020 to 2025

✅ Regional Breakdown:

DMP=Dhaka Metropolitan Police CMP=Chattogram Metropolitan Police KMP=Khulna Metropolitan Police RMP=Rajshahi Metropolitan Police BMP=Barishal Metropolitan Police SMP=Sylhet Metropolitan Police RPMP=Rangpur Metropolitan Police GMP=Gazipur Metropolitan Police Dhaka Range Mymensingh Range Chittagong Range Sylhet Range Khulna Range Barishal Range Rajshahi Range Rangpur Range Ralway Range

📚 Columns :

'Names of Unit', 'Dacoity', 'Robbery', 'Murder', 'Speedy Trial', 'Riot', 'Woman & Child Repression', 'Kidnapping', 'Police Assault', 'Burglary', 'Theft', 'Other Cases', 'RC Arms Act', 'RC Explosive Act', 'RC Narcotics', 'RC Smuggling', 'Date' RC: Recovery Cases

🧠 Possible Use Cases: 📈 Trend Analysis of criminal activity over the years

🗺️ Regional comparison of crime rates

🧾 Policy analysis for law enforcement effectiveness

📊 Data visualization and dashboard projects

🤖 Training data for machine learning models (e.g., crime prediction, anomaly detection)

📎 Source: Compiled and processed from publicly available crime records and reports by law enforcement agencies in Bangladesh.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Mountain Bay Metropolitan Police Department (City) in Wisconsin, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Las Vegas Metropolitan Police Department (City) in Nevada, including incidents, statistics, demographics, and detailed incident information.

Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).

There were ******* crimes recorded by the Metropolitan Police in London in 2024/25, the most of any police force area in England and Wales. Greater Manchester Police reported ******* crimes, while West Midlands police recorded *******, making these police forces the second and third-highest in terms of crime recorded.

This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that have occurred in the City of Chicago over the past year, minus the most recent seven days of data. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited.

The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://bit.ly/rk5Tpc.

This dataset contains different collected datasets with crime data of many large cities. Below are the descriptions for each seperate dataset. Note: Dataset properties and column may differ from each other since the information was collected by the local police in different styles and situations.

1. Los Angeles

The Los Angeles dataset has the collected data on different crimes that happened in Los Angeles from 2000 up until May 2024. The columns are as follows:

• DR_NO - Division of Records Number: Official file number made up of a 2 digit year, area ID, and 5 digits

• Date Rptd - The date when the police found out about the crime

• Date OCC - The actual date of the crime

• Time OCC - In military time

• Area - The LAPD has 21 Community Police Stations referred to as Geographic Areas within the department. These Geographic Areas are sequentially numbered from 1-21.

• Area Name - The 21 Geographic Areas or Patrol Divisions are also given a name designation that references a landmark or the surrounding community that it is responsible for. For example 77th Street Division is located at the intersection of South Broadway and 77th Street, serving neighborhoods in South Los Angeles.

• Rpt Dist No - A four-digit code that represents a sub-area within a Geographic Area. All crime records reference the "RD" that it occurred in for statistical comparisons. Find LAPD Reporting Districts on the LA City GeoHub at http://geohub.lacity.org/datasets/c4f83909b81d4786aa8ba8a74a4b4db1_4

• Crm Cd - Indicates the crime committed. (Same as Crime Code 1)

• Crm Cd Desc - Defines the Crime Code provided.

• Mocodes - Modus Operandi: Activities associated with the suspect in commission of the crime.

• Vict Age - The age of the victim

• Vict Sex - The gender of the victim. They are as follows:

  • M - Male
  • F - Female
  • X - Unknown

• Vict Descent - Descent Code:

  • A - Other Asian
  • B - Black
  • C - Chinese
  • D - Cambodian
  • F - Filipino
  • G - Guamanian
  • H - Hispanic/Latin/Mexican
  • I - American Indian/Alaskan Native
  • J - Japanese
  • K - Korean
  • L - Laotian
  • O - Other
  • P - Pacific Islander
  • S - Samoan
  • U - Hawaiian
  • V - Vietnamese
  • W - White
  • X - Unknown
  • Z - Asian Indian

• Premis Cd - The type of structure, vehicle, or location where the crime took place.

• Premis Desc - Defines the Premise Code provided.

• Weapon Used Cd - The type of weapon used in the crime.

• Status - Status of the case. (IC is the default)

• Status Desc - Defines the Status Code provided.

• Crm Cd 1 - Indicates the crime committed. Crime Code 1 is the primary and most serious one. Crime Code 2, 3, and 4 are respectively less serious offenses. Lower crime class numbers are more serious.

• Crm Cd 2 - May contain a code for an additional crime, less serious than Crime Code 1.

• Crm Cd 3 - May contain a code for an additional crime, less serious than Crime Code 1.

• Crm Cd 4 - May contain a code for an additional crime, less serious than Crime Code 1.

• Location - Street address of crime incident rounded to the nearest hundred block to maintain anonymity.

• Cross Street - Cross Street of rounded Address

• LAT - Latitude

• LON - Longitude

This dataset has 28 columns and 944K rows. I hope you will find it useful. God bless you

1. Chicago

This dataset contains crime data on Chicago, from 2001 to present. The columns are as follows:

• ID - Unique Identifier for the record

• Case Number - The Chicago Police Department RD Number (Records Division Number), which is unique to the incident.

• Date - Date when the incident occurred. this is sometimes a best estimate.

• Block - The partially redacted address where the incident occurred, placing it on the same block as the actual address.

• IUCR - The Illinois Unifrom Crime Reporting code. This is directly linked to the Primary Type and Description. See the list of IUCR codes at https://data.cityofchicago.org/d/c7ck-438e..

• Primary Type - The primary description of the IUCR code.

• Description - The secondary description of the IUCR code, a subcategory of the primary description.

• Location Description - Description of the location where the incident occurred.

• Arrest - Indicates whether an arrest was made.

• Domestic - Indicates whether the incident was domestic-related as defined by the Illinois Domestic Violence Act.

• Beat - Indicates the beat where the incident occurred. A beat is the smallest police geographic area – each beat has a dedicated police beat car. Three to five beats make up a police sector, and three sectors make up a police district. The Chicago Police Department has 22 police districts. See the beats at https://data.cityofchicago.org/d/aerh-rz74.

• Distric...