The average for 2017 based on 79 countries was 105 robberies per 100,000 people. The highest value was in Costa Rica: 1587 robberies per 100,000 people and the lowest value was in Oman: 1 robberies per 100,000 people. The indicator is available from 2003 to 2017. Below is a chart for all countries where data are available.

In 2022, Costa Rica had the highest burglary rate worldwide, with ***** occurrences per 100,000 inhabitants. Other countries with the highest burglary rate were Sweden, Luxembourg and Dominica.

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 2022, there were approximately ****thousand instances of burglaries per 100,000 of the population in Australia. In comparison, South Korea recorded around ******instances of burglaries per 100,000 of the population that year.

Dominica was the country with the highest burglary rate in the Caribbean in 2020. Up to *** home burglaries were reported per 100,000 population in this island nation. Saint Vincent and the Grenadines registered the second-highest rate, with *** such crime reports per 100,000 inhabitants.

Japan was the G7 country with the lowest rate of burglaries between 2010 and 2022. In 2022, under ** cases of burglaries per 100,000 inhabitants were reported in the Asian country. On the other hand, France had the highest rate that year at *** cases per 100,000 population. In the United States, the burglary rate fell constantly since 2010, as it did in Italy and Germany from 2015 to 2020.

Overview:

This project aims to investigate the potential correlation between the Gross Domestic Product (GDP) of approximately 190 countries for the years 2021 and 2023 and their corresponding crime ratings. The crime ratings are represented on a scale from 0 to 10, with 0 indicating minimal or null crime activity and 10 representing the highest level of criminal activity.

Dataset:

The dataset used in this project comprises GDP data for the years 2021 and 2023 for around 190 countries, sourced from reputable international databases. Additionally, crime rating scores for the same countries and years are collected from credible sources such as governmental agencies, law enforcement organizations, or reputable research institutions.

Methodology:

• Data Collection: GDP data for 2021 and 2023, along with crime rating scores, are gathered for approximately 190 countries.
• Data Preprocessing: The collected data is cleaned and standardized to ensure consistency and compatibility across different datasets.
• Analysis: Statistical methods and data visualization techniques are employed to explore the potential relationship between GDP and crime ratings.
• Interpretation: Findings from the analysis are interpreted to determine the strength and direction of any observed correlations between GDP and crime ratings.
• Conclusion: Based on the analysis results, conclusions are drawn regarding the existence and significance of the relationship between GDP and crime ratings.

Expected Outcomes:

Identification of any significant correlations or patterns between GDP and crime ratings across different countries. Insights into the potential socioeconomic factors influencing crime rates and their relationship with economic indicators like GDP. Implications for policymakers, law enforcement agencies, and researchers in understanding the dynamics between economic development and crime prevalence.

The average for 2016 based on 34 countries was 1070 thefts per 100,000 people. The highest value was in Denmark: 3949 thefts per 100,000 people and the lowest value was in Cyprus: 62 thefts per 100,000 people. The indicator is available from 2003 to 2016. Below is a chart for all countries where data are available.

The average for 2017 based on 97 countries was 7.4 homicides per 100,000 people. The highest value was in El Salvador: 61.8 homicides per 100,000 people and the lowest value was in Japan: 0.2 homicides per 100,000 people. The indicator is available from 1990 to 2017. Below is a chart for all countries where data are available.

Japan was the G7 country with the lowest rate of thefts between 2010 and 2022. In 2022, less than *** cases of thefts per 100,000 inhabitants were reported in the Asian country. On the other hand, the United Kingdom had the highest rate in 2018, the latest year for which numbers were available, at ***** cases per 100,000 population. The fall in the theft rate in 2020 in all countries must be seen in relation with the COVID-19 pandemic.

The average for 2016 based on 8 countries was 839 thefts per 100,000 people. The highest value was in Uruguay: 3205 thefts per 100,000 people and the lowest value was in Colombia: 178 thefts per 100,000 people. The indicator is available from 2003 to 2016. Below is a chart for all countries where data are available.

Crime regional data are police-recorded offences. The data are collected at regional level for European Union Member States, EFTA countries, and potential EU members where NUTS3 is relevant and available. National data are presented in the dataset for countries where NUTS3 is not relevant (Cyprus, Luxembourg, Liechtenstein, Montenegro as the whole territory is one single NUTS region) or still not available (Bosnia and Herzegovina and Kosovo - this designation is without prejudice to positions on status, and is in line with UNSCR 1244/1999 and the ICJ Opinion on the Kosovo declaration of independence).

From 2008 onwards, the statistics include police-recorded offences for homicide, assault, sexual violence, robbery, burglary, (of which) burglary of residential premises, theft, (of which) theft of motorized land vehicle.

Dataset

This dataset was created by Shahriar Kabir

Released under CC0: Public Domain

Contents

Since 2014, Eurostat and the UNODC have launched a joint annual data collection on crime and criminal justice statistics, using the UN crime trends questionnaire and complementary Eurostat requests

for specific areas of interest to the European Commission. The data and metadata are collected from National Statistical Institutes or other relevant authorities (mainly police and justice departments) in each EU Member State, EFTA country and EU potential members. On the Eurostat website, data are available for 41 jurisdictions since 2008 until 2018 data and for 38 jurisdictions since 2019 data (EU-27, Iceland, Liechtenstein, Norway, Bosnia and Herzegovina, Montenegro, North Macedonia, Albania, Serbia, Turkey, Kosovo(1)), having drop the data for the United Kingdom separately owing to three separate jurisdictions England and Wales, Scotland, Northern Ireland.

This joint data collection and other data collections carried out by Eurostat allows to gather information on:

• police-recorded offences by type of crime
• police-recorded offences by NUTS3 region
• intentional homicide and sexual violence victims and perpetrators (suspected, prosecuted, convicted) by sex
• intentional homicide victims by age, sex, and relationship to the offender
• intentional homicide victims and offences in largest cities
• offenders by justice legal status (suspected, prosecuted, convicted), age, sex, and citizenship
• persons brought before criminal courts by legal status (convicted persons/acquitted)
• personnel by institution (police, courts, and prisons) by sex
• legal cases in first instance courts by type and stage
• prisoners by age, sex, citizenship, and status of the trial process
• prison capacity and occupancy
• people involved in human trafficking by legal status (victims, suspected and convicted traffickers) and victims of human trafficking by all forms of exploitation and citizenship

Where available, data are broken down by sex, age groups (adults/juveniles), country of citizenship (foreigners or nationals) and other relevant variables. National data are available and for intentional homicide offences, city level data (largest cities) are available for some countries. Regional data at NUTS3 level are also available for some police-recorded offences.

Some historical series are available:

• Number of police-recorded crimes by type (intentional homicide, violence, robbery, home burglary, car thefts, and drug crimes) for the period 1993 – 2007
• Number of police-recorded homicide in cities for the period 1993 – 2007
• Number of police officers for the period 1993 – 2007
• Prison population for the period 1993 – 2007

Total number of police-recorded crimes for the period 1950 – 2000

(1) under United Nations Security Council Resolution 1244/99

The average for 2017 based on 34 countries was 126 robberies per 100,000 people. The highest value was in Costa Rica: 1587 robberies per 100,000 people and the lowest value was in South Korea: 2 robberies per 100,000 people. The indicator is available from 2003 to 2017. Below is a chart for all countries where data are available.

The average for 2017 based on 16 countries was 12 robberies per 100,000 people. The highest value was in Kazakhstan: 52 robberies per 100,000 people and the lowest value was in Oman: 1 robberies per 100,000 people. The indicator is available from 2003 to 2017. Below is a chart for all countries where data are available.

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

This method returns Crystal Roof’s proprietary crime rate map overlays. These overlays are taken directly from our main Crime Rates map.

The overlays are circular PNG images, available in 1,000, 1,500, or 2,000-meter radii.

You can request overlays showing either total crime rates or crime rates for a specific crime type (controlled by the variant parameter).

About Crystal Roof’s Crime Rates Map

• Crime rates are calculated for small geographic areas known as Lower Layer Super Output Areas (LSOAs).
• Rates are calculated per 1,000 residents, using population data from the 2021 Census.
• Crime levels are grouped into 10 categories using our proprietary algorithm, which balances both the distribution of crime values and the number of areas with similar rates. These categories are not standard deciles.
• All figures represent annual data (covering the most recent 12 months).
• The dataset is updated monthly, with a three-month lag between the current date and the most recent available data.

Integration examples

• Google Maps integration example
• Leaflet integration example

The World Crime Index 2023 dataset provides records of crime rankings for cities worldwide, along with associated information on their respective countries. This dataset is focused on the year 2023 and includes the following columns:

• Rank: The ranking of a city based on its crime index, with lower numbers indicating higher crime rates.
• City: The name of the city for which crime data is reported.
• Country: The country to which the city belongs.
• Crime Index: A numerical value representing the overall level of crime in a city, with higher values indicating higher crime rates.
• Safety Index: An index indicating the general level of safety in a city, derived from factors such as infrastructure, healthcare, and political stability.

This dataset enables data scientists to analyze and compare crime rankings across cities and countries, providing insights into the relative safety levels of different locations in the year 2023. By leveraging this dataset, researchers can conduct exploratory data analysis, perform comparative studies, and identify potential trends and patterns in crime rates globally for the specified year.

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