In 2023, the nationwide rate of property crime in the United States was 1,916.7 cases per 100,000 of the population. This is a slight decrease from the previous year, when the rate of property crimes stood at 1,973.8 cases per 100,000 of the population.

In 2023, the property crime rate in the District of Columbia was 4,307.4 reported property crimes per 100,000 residents. New Mexico, Washington, Colorado and Louisiana rounded out the top five states with the highest rates of property crime in that year.

In 2023, the violent crime rate in the United States was 363.8 cases per 100,000 of the population. Even though the violent crime rate has been decreasing since 1990, the United States tops the ranking of countries with the most prisoners. In addition, due to the FBI's transition to a new crime reporting system in which law enforcement agencies voluntarily submit crime reports, data may not accurately reflect the total number of crimes committed in recent years. Reported violent crime rate in the United States The United States Federal Bureau of Investigation tracks the rate of reported violent crimes per 100,000 U.S. inhabitants. In the timeline above, rates are shown starting in 1990. The rate of reported violent crime has fallen since a high of 758.20 reported crimes in 1991 to a low of 363.6 reported violent crimes in 2014. In 2023, there were around 1.22 million violent crimes reported to the FBI in the United States. This number can be compared to the total number of property crimes, roughly 6.41 million that year. Of violent crimes in 2023, aggravated assaults were the most common offenses in the United States, while homicide offenses were the least common. Law enforcement officers and crime clearance Though the violent crime rate was down in 2013, the number of law enforcement officers also fell. Between 2005 and 2009, the number of law enforcement officers in the United States rose from around 673,100 to 708,800. However, since 2009, the number of officers fell to a low of 626,900 officers in 2013. The number of law enforcement officers has since grown, reaching 720,652 in 2023. In 2023, the crime clearance rate in the U.S. was highest for murder and non-negligent manslaughter charges, with around 57.8 percent of murders being solved by investigators and a suspect being charged with the crime. Additionally, roughly 46.1 percent of aggravated assaults were cleared in that year. A statistics report on violent crime in the U.S. can be found here.

This project was designed to isolate the effects that individual crimes have on wage rates and housing prices, as gauged by individuals' and households' decisionmaking preferences changing over time. Additionally, this project sought to compute a dollar value that individuals would bear in their wages and housing costs to reduce the rates of specific crimes. The study used multiple decades of information obtained from counties across the United States to create a panel dataset. This approach was designed to compensate for the problem of collinearity by tracking how housing and occupation choices within particular locations changed over the decade considering all amenities or disamenities, including specific crime rates. Census data were obtained for this project from the Integrated Public Use Microdata Series (IPUMS) constructed by Ruggles and Sobek (1997). Crime data were obtained from the Federal Bureau of Investigation's Uniform Crime Reports (UCR). Other data were collected from the American Chamber of Commerce Researchers Association, County and City Data Book, National Oceanic and Atmospheric Administration, and Environmental Protection Agency. Independent variables for the Wages Data (Part 1) include years of education, school enrollment, sex, ability to speak English well, race, veteran status, employment status, and occupation and industry. Independent variables for the Housing Data (Part 2) include number of bedrooms, number of other rooms, building age, whether unit was a condominium or detached single-family house, acreage, and whether the unit had a kitchen, plumbing, public sewers, and water service. Both files include the following variables as separating factors: census geographic division, cost-of-living index, percentage unemployed, percentage vacant housing, labor force employed in manufacturing, living near a coastline, living or working in the central city, per capita local taxes, per capita intergovernmental revenue, per capita property taxes, population density, and commute time to work. Lastly, the following variables measured amenities or disamenities: average precipitation, temperature, windspeed, sunshine, humidity, teacher-pupil ratio, number of Superfund sites, total suspended particulate in air, and rates of murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, violent crimes, and property crimes.

The following datasets contain the crime rate for cities in the United States. The four datasets are separated based on population ranges.

FILE DESCRIPTION

File names: - 'crime_40 _60.csv': dataset for population ranging from 40,000 to 60,000. - 'crime_60 _100.csv': dataset for population ranging from 60,000 to 100,000. - 'crime_100 _250.csv': dataset for population ranging from 100,000 to 250,000. - 'crime_250 _plus.csv': dataset for population greater than 250,000.

COLUMN DESCRIPTION

For file: crime_40 _60.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'violent_crime': violent crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ The following datasets contain the crime rate for cities in the United States. The four datasets are separated based on population ranges.

FILE DESCRIPTION

File names: - 'crime_40 _60.csv': dataset for population ranging from 40,000 to 60,000. - 'crime_60 _100.csv': dataset for population ranging from 60,000 to 100,000. - 'crime_100 _250.csv': dataset for population ranging from 100,000 to 250,000. - 'crime_250 _plus.csv': dataset for population greater than 250,000.

COLUMN DESCRIPTION

For file: crime_40 _60.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'violent_crime': violent crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ assault': agrv_ assault - 'prop_crime': property crime - 'burglary': burglary - 'larceny': larceny theft - 'vehicle_theft': motor vehicle theft

crime_60 _100.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'violent_crime': violent crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ assault': agrv_ assault - 'prop_crime': property crime - 'burglary': burglary - 'larceny': larceny theft - 'vehicle_theft': motor vehicle theft

crime_100 _250.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'violent_crime': violent crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ assault': agrv_ assault - 'prop_crime': property crime - 'burglary': burglary - 'larceny': larceny theft - 'vehicle_theft': motor vehicle theft

crime_250 _plus.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'total_crime': total crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ assault': agrv_ assault - 'total_violent _crime': total violent crime - 'prop_crime': property crime - 'burglary': burglary - 'larceny': larceny theft - 'vehicle_theft': motor vehicle theft - 'tot_prop _crime': total property crime - 'arson': arson

Photo by David von Diemar on Unsplash

In 2023, the violent crime rate in the United States was at 374.4 cases per 100,000 inhabitants. However, the total rate of property crime was far higher, at 1,916.7 cases per 100,000 inhabitants.

This dataset aggregates Seattle Police Department crime statistics with spatial ZIP code boundaries and US Census data to determine the property crime rate per 1,000 residents. The following sources were used to create this dataset:

King County ZIP Code Boundaries

Source: https://data-seattlecitygis.opendata.arcgis.com/datasets/SeattleCityGIS::zip-codes/explore

King County provides approximate ZIP code boundaries, updated quarterly and published by the city of Seattle.

SPD Crime Data: 2008-Present

Source: https://data.seattle.gov/Public-Safety/SPD-Crime-Data-2008-Present/tazs-3rd5

The Seattle Police Department publishes data for reported crimes from 2008 to the present, refreshed daily. This data includes whether the crime is classified as against a person, against property, or against society.

2020 ACS 5-year estimates for population

Source: https://data.census.gov/cedsci/table?q=population%20seattle&g=0400000US53%248600000&tid=ACSDP5Y2020.DP05

The US Census Department American Community Survey (ACS) publishes 5-year estimates of population by a variety of geographies, including ZIP Code Tabulation Areas (ZCTAs), geographic approximations of each ZIP code.

Data Processing

Using the pandas and geopandas libraries within python, the following processing steps were followed to prepare this dataset: - Converted the date and time reported field in the SPD dataset to a datetime object and extracted the year - Filtered to crimes reported between 2008 and 2021 - Filtered to only crimes against property - Dropped rows with null values for year, crime against category, longitude, or latitude - Performed a spatial join using the latitude and longitude for each report in the SPD data to append a ZIP code from the King County ZIP Code boundary shapefile - Summarized to calculate a count of property crimes reported for each combination of year and ZIP code - Summarized by ZIP code to calculate the count of years with at least one crime reported and the total number of property crimes reported - Calculated the average number of property crimes reported per year in each ZIP code - Merged with the ACS population estimates - Calculated the number of property crimes reported per year per 1,000 population for each zip code

Photo by Justus Hayes: https://www.pexels.com/photo/a-bicycle-chained-to-a-metal-post-6355944/

In 2023, the District of Columbia had the highest reported violent crime rate in the United States, with 1,150.9 violent crimes per 100,000 of the population. Maine had the lowest reported violent crime rate, with 102.5 offenses per 100,000 of the population. Life in the District The District of Columbia has seen a fluctuating population over the past few decades. Its population decreased throughout the 1990s, when its crime rate was at its peak, but has been steadily recovering since then. While unemployment in the District has also been falling, it still has had a high poverty rate in recent years. The gentrification of certain areas within Washington, D.C. over the past few years has made the contrast between rich and poor even greater and is also pushing crime out into the Maryland and Virginia suburbs around the District. Law enforcement in the U.S. Crime in the U.S. is trending downwards compared to years past, despite Americans feeling that crime is a problem in their country. In addition, the number of full-time law enforcement officers in the U.S. has increased recently, who, in keeping with the lower rate of crime, have also made fewer arrests than in years past.

In 2023, a total of 5,439 white Americans were arrested for arson in the United States in comparison to 1,876 Americans who were Black or African American.

This national-level survey of youth was undertaken to gather detailed behavioral and attitudinal data concerning weapons and violence. The research project sought to obtain information from a broad sample of high-school-aged youth to achieve diversity regarding history, cultural background, population size and density, urban and non-urban mix, economic situation, and class, race, and ethnic distributions. Data for the study were derived from two surveys conducted during the spring of 1996. The first survey was a lengthy questionnaire that focused on exposure to weapons (primarily firearms and knives) and violence, and was completed by 733 10th- and 11th-grade male students. Detail was gathered on all weapon-related incidents up to 12 months prior to the survey. The second survey, consisting of a questionnaire completed by 48 administrators of the 53 schools that the students attended, provided information regarding school characteristics, levels of weapon-related activity in the schools, and anti-violence strategies employed by the schools. The student survey covered demographic characteristics of the respondent, family living situations, educational situations and aspirations, drug, criminal, and gang activities, crime- and violence-related characteristics of family and friends, respondent's social and recreational activities, exposure to violence generally, personal victimization history, and possession of and activities relating to firearms and knives. Administrators were asked to provide basic demographic data about their schools and to rate the seriousness of violence, drugs, guns, and other weapons in their institutions. They were asked to provide weapon-related information about the average male junior in their schools as well as to estimate the number of incidents involving types of weapons on school grounds during the past three years. The administrators were also asked to identify, from an extensive list of violence reduction measures, those that were practiced at their schools. Variables are also provided about the type of school, grades taught, enrollment, and size of the community. In addition to the data collected directly from students and school administrators, Census information concerning the cities and towns in which the sampled schools were located was also obtained. Census data include size of the city or town, racial and ethnic population distributions, age, gender, and educational attainment distributions, median household and per capita income distributions, poverty rates, labor force and unemployment rates, and violent and property crime rates.

The California Housing dataset contains information about various factors affecting housing prices in the California area. It includes features such as the per capita crime rate, average number of rooms per dwelling, proportion of residential land zoned for lots over 25,000 square feet, and more.

Datasource: The data were derived from information collected by the U.S. Census Service concerning housing in the area of California.

Columns: Location: Region Address: Address of the house Price: Price in millions CRIMS per capita crime rate by town ZN proportion of residential land zoned for lots over 25,000 sq.ft. INDUS proportion of non-retail business acres per town CHAS Charles River dummy variable (= 1 if tract bounds river; 0 otherwise) NOX nitric oxides concentration (parts per 10 million) RM average number of rooms per dwelling AGE proportion of owner-occupied units built prior to 1940 DIS weighted distances to five Boston employment centres RAD index of accessibility to radial highways TAX full-value property-tax rate per 10,000usd PTRATIO pupil-teacher ratio by town B 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town LSTAT % lower status of the population

The average for 2016 based on 74 countries was 783 thefts per 100,000 people. The highest value was in Denmark: 3949 thefts per 100,000 people and the lowest value was in Senegal: 1 thefts per 100,000 people. The indicator is available from 2003 to 2016. Below is a chart for all countries where data are available.

In 2023, murder and manslaughter charges had the highest crime clearance rate in the United States, with 57.8 percent of all cases being cleared by arrest or so-called exceptional means. Motor vehicle theft cases had the lowest crime clearance rate, at 8.2 percent. What is crime clearance? Within the U.S. criminal justice system, criminal cases can be cleared (or closed) one of two ways. The first is through arrest, which means that at least one person has either been arrested, charged with an offense, or turned over to the court for prosecution. The second way a case can be closed is through what is called exceptional means, where law enforcement must have either identified the offender, gathered enough evidence to arrest, charge, and prosecute someone, identified the offender’s exact location, or come up against a circumstance outside the control of law enforcement that keeps them from arresting and prosecuting the offender. Crime in the United States Despite what many people may believe, crime in the United States has been on the decline. Particularly in regard to violent crime, the violent crime rate has almost halved since 1990, meaning that the U.S. is safer than it was almost 30 years ago. However, due to the FBI's recent transition to a new crime reporting system in which law enforcement agencies voluntarily report crime data, it is possible that figures do not accurately reflect the total amount of crime in the country.

Abstract (en): This research project was designed to demonstrate the contributions that Geographic Information Systems (GIS) and spatial analysis procedures can make to the study of crime patterns in a largely nonmetropolitan region of the United States. The project examined the extent to which the relationship between various structural factors and crime varied across metropolitan and nonmetropolitan locations in Appalachia over time. To investigate the spatial patterns of crime, a georeferenced dataset was compiled at the county level for each of the 399 counties comprising the Appalachian region. The data came from numerous secondary data sources, including the Federal Bureau of Investigation's Uniform Crime Reports, the Decennial Census of the United States, the Department of Agriculture, and the Appalachian Regional Commission. Data were gathered on the demographic distribution, change, and composition of each county, as well as other socioeconomic indicators. The dependent variables were index crime rates derived from the Uniform Crime Reports, with separate variables for violent and property crimes. These data were integrated into a GIS database in order to enhance the research with respect to: (1) data integration and visualization, (2) exploratory spatial analysis, and (3) confirmatory spatial analysis and statistical modeling. Part 1 contains variables for Appalachian subregions, Beale county codes, distress codes, number of families and households, population size, racial and age composition of population, dependency ratio, population growth, number of births and deaths, net migration, education, household composition, median family income, male and female employment status, and mobility. Part 2 variables include county identifiers plus numbers of total index crimes, violent index crimes, property index crimes, homicides, rapes, robberies, assaults, burglaries, larcenies, and motor vehicle thefts annually from 1977 to 1996. The spatial dynamics of crime in nonmetropolitan locations can be understood as a product of social, economic, and demographic influences that are often unique to those areas. Thus there is a need for research on nonmetropolitan crime that takes location and geographic context seriously. This research project was designed to demonstrate the contributions that Geographic Information Systems (GIS) and spatial analysis procedures can make to the study of crime patterns in a largely nonmetropolitan region of the United States. The project examined the extent to which the relationship between various structural factors and crime varied across metropolitan and nonmetropolitan locations in Appalachia over time. GIS and crime mapping technologies enabled the researcher to look more rigorously at the spatial patterns and ecological contexts of crime. To investigate the spatial patterns of crime for this project, a georeferenced dataset was compiled at the county level for each of the 399 counties comprising the Appalachian region. The data came from numerous secondary data sources, including the Federal Bureau of Investigation's Uniform Crime Reports, the Decennial Census of the United States, the Department of Agriculture, and the Appalachian Regional Commission. Data were gathered on the demographic distribution, change, and composition of each county, as well as other socioeconomic indicators. The dependent variables were index crime rates derived from the Uniform Crime Reports, with separate variables for violent and property crimes. These data were integrated into a GIS database in order to enhance the research with respect to: (1) data integration and visualization, (2) exploratory spatial analysis, and (3) confirmatory spatial analysis and statistical modeling. In order to portray the contextual diversity of crime in Appalachia, three different county classifications, each based on different criteria, were employed: (1) Appalachian subregions, consisting of North, Central, and South Appalachia, (2) Beale county codes based on metro-nonmetro designations, population size, and adjacency to metropolitan counties, and (3) distressed county codes based on measures of poverty, unemployment, and per capita income. Part 1 contains variables for Appalachian subregions, Beale county codes, distress codes, number of families and households, population size, racial and age composition of population, dependency ratio, population growth, number of births and deaths, net migration, education, household ...

Abstract (en): The National Crime Victimization Survey (NCVS) Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1973. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. The survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual attack, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, motor vehicle theft, and vandalism. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected, to enable analysis of crime by various subpopulations. This dataset represents the concatenated version of the NCVS on a collection year basis for 1992-2014. A collection year contains records from interviews conducted in the 12 months of the given year. Under the collection year format, victimizations are counted in the year the interview is conducted, regardless of the year when the crime incident occurred. For additional information, please see the documentation for the data from the most current year of the NCVS, ICPSR Study 36142. The data files include several weight variables used to calculate national estimates of: households, persons, victimizations, and incidents. The codebook describes how to use the weights. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. All persons in the United States aged 12 and older. Smallest Geographic Unit: region Stratified multistage cluster sample. 2016-03-01 Additional distribution formats were added. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. computer-assisted personal interview (CAPI), face-to-face interviewThe 2014 concatenated files were created from the Household, Person, and Incident-Level collection year files and include information on victims of crime; nonvictims are not included.The data were collected by the United States Department of Commerce, Bureau of the Census.Beginning with 2011, data contain replicate weights for household, person, incident, and victimization to facilitate standard error computations given the sampling design of NCVS.Beginning with 2012, the data have a change in how the victimization totals are computed. Series crimes are now included with up to 10 occurrences.Beginning with 2014 concatenated files, data no longer contain the replicate weight variables for household, person, incident, and victimization. These variables are still contained in the single year files.

In 2022, there were slightly more female victims of violent crime than male victims in the United States, with about ********* male victims and ********* female victims. These figures are a significant increase from the previous year, when there were ********* male victims and ********* female victims. What counts as violent crime? Violent crime in the United States includes murder, rape, sexual assault, robbery, and assault. While violent crime across all areas has been steadily falling over the past few decades, the rate of aggravated assault is still relatively high, at ***** cases per 100,000 of the population. In 2021, there were more property crimes committed in the U.S. than there were violent crimes. Keep your enemies closer It is usually said that most victims know their attacker, and the data backs this up. In 2021, very few murders were committed by strangers. The same goes for rape and sexual assault victims; the majority were perpetrated by acquaintances, intimate partners, or relatives.

In 2023, New Mexico had the highest burglary rate in the United States. That year, they had 517.9 occurrences per 100,000 residents. Washington followed with 481 incidents per 100,000 residents. What is burglary? Burglary in the United States is considered a felony or misdemeanor. It includes trespassing and theft, and going inside a building or car with the intent to commit any crime. Even if the crime is not necessarily theft, it is still illegal. Some states consider burglary committed during the day as housebreaking, not burglary. The Bureau of Justice Statistics defines it as unlawful or forcible entry into a building. There are four types of burglary in total: completed burglary, forcible entry, unlawful entry, and attempted forcible entry. Burglary in the United States Burglary affects all 50 states in the United States, as burglary was the third most common type of property crime in the United States in 2023. California had the highest number of reported burglaries in that same year, whereas New Hampshire had the lowest number. However, the overall reported burglary rate in the United States has decreased significantly since 1990.

This statistic shows the number of property crimes in Canada in 2023, by metro area. There were 189,877 reported property crimes in the Toronto area in Canada in 2023.

The crime rate in the United Kingdom was highest in England and Wales in 2024/25, at **** crimes per 1,000 people, compared with Scotland, which had **** crimes per 1,000 population, and Northern Ireland, at **** crimes per 1,000 people in 2023/24. During this time period, the crime rate of England and Wales has usually been the highest in the UK, while Scotland's crime rate has declined the most, falling from **** crimes per 1,000 people in 2002/03, to just **** by 2021/22. Overall crime on the rise In 2024/25, there were approximately **** million crimes recorded by the police in England and Wales. Although this was a slight decline on the previous two years, it was still far higher than during the mid-2010s. While crime declined quite significantly between 2002/03 and 2013/14, this trend went into reverse in subsequent years. While there are no easy explanations for the recent uptick in crime, it is possible that reduced government spending on the police service was at least partly to blame. In 2009/10, for example, government spending on the police stood at around **** billion pounds, with this cut to *****billion in 2013/14. One of the most visible consequences of these cuts was a sharp reduction in the number of police officers in the UK. Between 2010 and 2017, the number of officers fell by 20,000, although the number of officers returned to pre-austerity levels by the 2020s. A creaking justice system During the period of austerity, the Ministry of Justice as a whole saw its budget sharply decline, from *** billion pounds in 2009/10 to just **** billion by 2015/16. Although there has been a reversal of the cuts to budgets and personnel in the justice system, the COVID-19 pandemic hit the depleted service hard in 2020. A backlog of cases grew rapidly, putting a strain on the ability of the justice system to process cases quickly. In 2022, for example, it took on average *** days for a crown court case to go from offence to conclusion, compared with *** days in 2018. There is also the issue of overcrowding in prisons, with the number of prisoners in England and Wales dangerously close to operational capacity in recent years.

In 2024, around 7,060 crimes per 100,000 inhabitants were recorded by the police in Germany. This means that the so-called frequency rate or crime rate rose for the third year in a row, but due to a change in the basis for calculation, it is only comparable with previous years to a limited extent.* The years between 2010 and 2015 saw an increase in the crime rate, but after 2015, the recent trend of declining crime started, leading to the generally low figures seen in the most recent years. While the uptick in the crime rate in 2022 marks a negative turn compared with these years, the overall crime rate is still much lower on average than in previous decades. Crime rate highest in cities Germany’s sixteen states are made up of thirteen federal states, and three city states; Berlin, Hamburg and Bremen. These three city states had the highest regional crime rates in Germany, due to only covering urban areas which usually have higher crime rates than rural areas. The large federal state of Bavaria, in the southeast of Germany, had the lowest crime rate in the country at 4,698 crimes per 100,000 people in 2020. Baden-Württemberg, home to the black forest and the city of Stuttgart had the second-lowest crime rate per 100 thousand people in this year, at 4,944.