In 2025, Pietermaritzburg in South Africa ranked as the world's most dangerous city with a crime rate of 82 per 100,000 inhabitants. Five of the 10 cities with the highest crime rates worldwide are found in South Africa. The list does not include countries where war and conflict exist. South Africa dominates crime statistics When looking at crime rates, among the 10 most dangerous cities in the world, half of them are found in South Africa. The country is struggling with extremely high levels of inequality, and is struggling with high levels of crime and power outages, harming the country's economy and driving more people into unemployment and poverty. Crime in Latin America On the other hand, when looking at murder rates, Latin America dominates the list of the world's most dangerous countries. Violence in Latin America is caused in great part by drug trafficking, weapons trafficking, and gang wars.

In 2024, approximately ***** violent crimes per 100,000 residents were reported in Memphis, Tennessee, making it the most dangerous city in the United States that year. This was followed by Oakland, California, with around **** violent crimes per 100,000 residents during the same period.

In 2025, the highest homicide rate among 21 Latin American and Caribbean countries surveyed was in Haiti, with around 68 murders committed per 100,000 inhabitants. Ecuador came in second, with a homicide rate of 50.9. In the same year, the lowest rate was recorded in El Salvador, with a homicide rate of 1.3 per 100,000 inhabitants. A violence-ridden region Violence and crime are some of the most pressing problems affecting Latin American society nowadays. More than 40 of the 50 most dangerous cities in the world are located in this region, as well as one of the twenty countries with the least peace in the world according to the Global Peace Index. Despite governments’ large spending on security and high imprisonment rates, drug and weapon trafficking, organized crime, and gangs have turned violence into an epidemic that affects the whole region and a solution to this issue appears to be hardly attainable. The cost of violence in Mexico Mexico stands out as an example of the great cost that violence inflicts upon a country, since beyond claiming human lives, it also affects everyday life and has a negative impact on the economy. Mexicans have a high perceived level of insecurity, as they do not only fear becoming victims of homicide, but also of other common crimes, such as assault or rape. Such fear prevents people from performing everyday activities, for instance, going out at night, taking a taxi or going to the movies or the theater. Furthermore, the economic toll of violence in Mexico is more than considerable. For example, the cost of homicide and violent crime amounted to 2099.8 and 1778.1 billion Mexican pesos in 2023, respectively.

Haiti saw a murder rate of ** per 100,000 inhabitants, making it the most dangerous country for this kind of crime worldwide as of 2025. Interestingly, El Salvador, which long had the highest global homicide rates, has dropped out of the top 29 after a high number of gang members have been incarcerated. Meanwhile, Colima in Mexico was the most dangerous city. Violent conflicts worldwide Notably, these figures do not include deaths that resulted from war or a violent conflict. While there is a persistent number of conflicts worldwide, resulting casualties are not considered murders. Partially due to this reason, homicide rates in Latin America are higher than those in Afghanistan or Syria. A different definition of murder in these circumstances could change the rate significantly in some countries. Causes of death Also, noteworthy is that murders are usually not random events. In the United States, the circumstances of murders are most commonly arguments, followed by narcotics incidents and robberies. Additionally, murders are not a leading cause of death. Heart diseases, strokes and cancer pose a greater threat to life than violent crime.

In 2024, the Mexican city of Colima was the second most deadly city in the world, with a murder rate of ****** per 100,000 inhabitants. * out of the top 10 cities with over ******* habitants and the highest homicide rates were located in Mexico.

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.

Introduction

You are looking at Crime Index 2022 Mid-Year. These indices are historical and they are published periodically.

Crime Index is an estimation of overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high.

Safety index is, on the other way, quite opposite of crime index. If the city has a high safety index, it is considered very safe.

Is this much less accurate than governmental statistics? In some countries, governments have a detailed statistics based on a number of reported crimes per capita. Those surveys are particular good in comparing crime between two cities in that country, but are not so good in cross country comparison for the following reasons:

• People in some countries are much more likely to report a crime than in other countries
• Data could be forged by governmental institutions
• Data is not available for most of the world

Kindly give your upvotes👍 if you find this dataset worthy of experience. Good luck Thank you😁

In 2022, the New Orleans-Metairie, LA metro area recorded the highest homicide rate of U.S. cities with a population over 250,000, at **** homicides per 100,000 residents, followed by the Memphis, TN-MS-AR metro area. However, homicide data was not recorded in all U.S. metro areas, meaning that there may be some cities with a higher homicide rate. St. Louis St. Louis, which had a murder and nonnegligent manslaughter rate of **** in 2022, is the second-largest city by population in Missouri. It is home to many famous treasures, such as the St. Louis Cardinals baseball team, Washington University in St. Louis, the Saint Louis Zoo, and the renowned Gateway Arch. It is also home to many corporations, such as Monsanto, Arch Coal, and Emerson Electric. The economy of St. Louis is centered around business and healthcare, and boasts ten Fortune 500 companies. Crime in St. Louis Despite all of this, St. Louis suffers from high levels of crime and violence. As of 2023, it was listed as the seventh most dangerous city in the world as a result of their extremely high murder rate. Not only does St. Louis have one of the highest homicide rates in the United States, it also reports one of the highest numbers of violent crimes. Despite high crime levels, the GDP of the St. Louis metropolitan area has been increasing since 2001.

Surveillance camera statistics: which cities have the most CCTV cameras?

data source: https://www.comparitech.com/vpn-privacy/the-worlds-most-surveilled-cities/ cover image credit: https://www.pexels.com/photo/white-security-camera-3205735/

Crime severity index (violent, non-violent, youth) and weighted clearance rates (violent, non-violent), Canada, provinces, territories and Census Metropolitan Areas, 1998 to 2024.

In 2024, Pietermaritzburg (South Africa) ranked first in the crime index among African cities, with a rating of roughly ** index points. The six most dangerous areas on the continent were South African cities. The index estimates the overall level of crime in a specific territory. According to the score, crime levels are classified as very high (over 80), high (60-80), moderate (40-60), low (20-40), and very low (below 20). South Africa’s crime situation According to the crime index ranking, ************ was the most dangerous country in Africa in 2023, followed by ***************** and ******. Murder and organized crime are particularly widespread in South Africa. In 2023, the country had one of the highest murder rates globally, registering around ** homicides per 100,000 inhabitants. Moreover, South Africa’s crime scene is also characterized by the presence of organized criminal activities, for which the country ranked third in Africa. Reflecting these high levels of crime, a survey conducted in 2023 showed that around ** percent of South Africans were worried about crime and violence in the country. Crime risks in Africa The African continent hosts some of the most dangerous places worldwide. In 2023, *********** and the ******************************** were the least peaceful countries in Africa, according to the Global Peace Index. Worldwide, they ranked fourth and fifth, respectively, behind Afghanistan, Yemen, and Syria. Terrorism is a leading type of crime perpetrated in Africa. Home to Boko Aram, Nigeria is among the countries with the highest number of terrorism-related deaths globally. Furthermore, Burkina Faso had the highest number of fatalities in the world. Human trafficking is also widespread, predominantly in West Africa. The most common forms of exploitation of victims of trafficking in persons are forced labor and sexual exploitation.

Number and rate (per 100,000 population) of homicide victims, Canada and Census Metropolitan Areas, 1981 to 2024.

Governments across the Global South rely on their militaries for domestic policing operations. We experimentally evaluate the social and political consequences of a military policing intervention in Cali, Colombia, one of the world’s most violent cities. The intervention, Plan Fortaleza, involved recurring, intensive military patrols randomized at the city block level. Our evaluation combines administrative crime and human rights data, surveys of more than 10,000 residents, a conjoint survey experiment, a “costly” behavioral measure, and qualitative interviews with 49 civil society leaders. Despite null or adverse effects on crime and human rights, we show that Plan Fortaleza improved citizen’ attitudes towards the military and increased their demand for military involvement in domestic law enforcement. It also strengthened citizens’ support for extrajudicial punishment and—alarmingly—for military coups in response to rising crime, potentially signaling a diminished commitment to democracy and the rule of law among the program’s intended beneficiaries.

Violent Crime in CA

Regional, County, City/Town Rates 2006-2010

By Health [source]

About this dataset

This dataset contains information on the rate of violent crime across California - its regions, counties, cities and towns. The data was collected as part of a larger effort by the Office of Health Equity to better understand public health indicators and ensure equitable outcomes for all.

The numbers reflect more than just a problem in California communities - it reflects a problem with unequal access to resources and opportunity across race, ethnicities and geographies. African Americans in California are 11 times more likely to die from assault or homicide compared to white Californians. Similarly, certain regions report higher crime rates than others at the county level- indicating underlying issues with poverty or institutionalized inequality.

Law enforcement agencies teamed up with the Federal Bureau of Investigations’ Uniform Crime Reports to collect this data table which includes details such as reported number of violent crimes (numerator), population size (denominator), rate per 1,000 population (ratex1000) confidence intervals (LL_95CI & UL_95CI ) standard errors & relative standard errors (se & rse) as well as ratios between city/town rates vs state rates (RR_city2state). Additionally, each record is classified according to region name/code and race/ethnicity code/name , giving researchers further insight into these troubling statistics at both macro and micro levels.

Armed with this information we can explore new ways identify inequitable areas and begin looking for potential solutions that combat health disparities within our communities like never before!

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How to use the dataset

The data is presented with twenty columns providing various segments within each row including:

• Crime definition
• Race/ethnicity code
• Region code
• Geographic area identifier
• Numerator and Denominator values of population
• Standard Error and 95% Confidence Intervals
• Relatvie Standard Error (RSE) value

• Ratios related to city/towns rate to state rate

  The information provided can be used for a variety of applications such as creating visualizations or developing predictive models. It is important to note that rates are expressed per 1,000 population for their respective geographic area during each period noted by the report year field within the dataset. Additionally CA_decile column may be useful in comparing counties due numerical grading system identifying a region’s percentile ranking when compared to other counties within the current year’s entire dataset as well as ratios present under RR_city2state which presents ratio comparison between city/town rate and state rate outside given geographic area have made this an extremely valuable dataset for further analysis

Research Ideas

• Developing a crime prediction and prevention program that uses machine learning models to identify criminal hotspots and direct resources to those areas
• Exploring the connection between race/ethnicity and rates of violence in California
• Creating visualizations and interactive maps to display types of violent crime across different counties within California

Acknowledgements

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

License

License: Open Database License (ODbL) v1.0 - You are free to: - Share - copy and redistribute the material in any medium or format. - 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. - Keep intact - all notices that refer to this license, including copyright notices. - No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material. - No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Columns

File: Violent_Crime_Rate_California_2006-2010-DD.csv

File: rows.csv | Column name | Description ...

Crime Analytics Tools Market Outlook

The global crime analytics tools market size was valued at approximately USD 5.3 billion in 2023 and is projected to reach around USD 12.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 10.2% during the forecast period. The key growth factor driving this market is the increasing need for advanced analytical tools to combat rising crime rates and enhance public safety. With the rapid advancements in technology and the growing importance of data in decision-making processes, the crime analytics tools market is poised for substantial growth.

One of the primary growth factors for the crime analytics tools market is the rising incidence of criminal activities globally, which has prompted law enforcement agencies to invest in advanced analytical solutions. These tools help in identifying, predicting, and preventing crimes, thus enhancing the overall effectiveness of law enforcement operations. Additionally, the integration of machine learning and artificial intelligence (AI) in crime analytics tools is revolutionizing the way crimes are analyzed and mitigated, providing a significant boost to market growth.

Another critical growth factor is the increasing government initiatives and funding aimed at strengthening national security and public safety. Governments worldwide are recognizing the importance of advanced crime analytics tools in enhancing public safety and are consequently increasing their budget allocations for the adoption of these tools. This surge in government investments is expected to drive the market's growth significantly during the forecast period.

The proliferation of smart city initiatives is also contributing to the market's growth. As cities around the world aim to become smarter and safer, the deployment of advanced crime analytics tools is becoming essential. These tools enable city authorities to monitor and manage urban safety more effectively, thereby reducing crime rates and improving the quality of life for residents. This trend is expected to fuel the demand for crime analytics tools in the coming years.

Regionally, North America dominates the crime analytics tools market, owing to the high adoption rate of advanced technologies and significant government investments in public safety. The Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, driven by increasing urbanization, rising crime rates, and growing government initiatives for public safety. Europe, Latin America, and the Middle East & Africa are also expected to contribute significantly to the market's growth, with steady adoption of crime analytics tools across these regions.

Component Analysis

The crime analytics tools market is segmented based on components into software, hardware, and services. The software segment holds the largest market share and is expected to maintain its dominance throughout the forecast period. Crime analytics software includes advanced solutions that leverage data analytics, machine learning, and artificial intelligence to analyze crime patterns, predict future crimes, and provide actionable insights to law enforcement agencies. The increasing adoption of these sophisticated software solutions by government agencies and private security firms is driving the growth of this segment.

The hardware segment, although smaller compared to software, plays a crucial role in the overall crime analytics ecosystem. Hardware components include surveillance cameras, sensors, and other data collection devices that are essential for gathering real-time data. The integration of these hardware components with advanced software solutions enhances the overall efficiency of crime analytics tools. The continuous advancements in hardware technology, such as the development of high-resolution cameras and IoT-enabled devices, are expected to drive the growth of this segment.

The services segment is also witnessing significant growth, driven by the increasing need for implementation, training, and maintenance services associated with crime analytics tools. As these tools become more sophisticated, the demand for specialized services to ensure their optimal performance is rising. These services include consulting, custom development, and ongoing support, which are crucial for the successful deployment and operation of crime analytics solutions. The growing emphasis on end-to-end solutions is further propelling the demand for services in this market.

Overall, the component analysis

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.

Abstract: The stay at home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 26 cities across 22 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay at home restrictions on different types of crime in each city. Our findings show that the stay at home policies were associated with a considerable drop in urban crime, but with substantial variation across cities and types of crime. Meta-regression results showed that more stringent restrictions over movement in public space were predictive of larger declines in crime.

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.

Chicago Crime Incident Data

65,000+ Records of Arrests, Locations, and Descriptions

By City of Chicago [source]

About this dataset

This dataset is a compilation of reported crimes that have taken place in the City of Chicago over the past year, and provides an invaluable insight into the criminal activity occurring within our city. Featuring more than 65,000 records of data, it contains information on the date of each incident, its location (down to the block level), type of crime committed (determined by FBI Crime Classification Codes) and whether or not an arrest has been made in connection with each crime. As this dataset reveals detailed information on crime incidents which may lead to personal identification, addresses are masked beyond block level and specific locations are not disclosed.

For additional questions regarding this dataset, please do not hesitate to reach out to The Research & Development Division at 312.745.6071 or RandDchicagopolice.com who will be more than happy to help answer any inquiries you may have about our data findings! All visualized maps should be considered approximate however—it is prohibited for any attempts to derive specific addresses from them as accuracy cannot be guaranteed with regards to mechanical or human error when collecting this data over time. So come join us as we explore a year's worth of criminal activities throughout Chicago!

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This guide will provide an overview on how to use this dataset to analyze patterns or draw conclusions about crime incidents in and around Chicago.

Secondly, become familiar with columns names which appear at top most row of your opened file which helps you understand what kind of data is stored at each column such as - CASE# - Unique identifier for the crime incident., DATE OF OCCURRENCE - Date when crime incident occurred , BLOCK - Block where event took place , LOCATION DESCRIPTION- Description of location where incident happened . Through these columns name you can easily recognize what kind of data exists within that record/row. That’s why it’s important to get familiar with them first before diving into raw datasets because they’ll help make exploring and understanding large sets easier later on when we go further into illustrating charts & graphs using programs such as Tableau & Power BI or even spreadsheets (Excel). After understanding column names its time to explore further by digging deeper into each record/row and apply filters if required e.g below $100 value will show only those rows having value less than 100 thus it will filter entire dataset according to your requirement. Lastly analyse collected datasets either Visually through plotting graphs with help tableau software OR By using Mathematical mathematical equations based on research questions such as finding out average values after applying sum/avg functions from respective cells etc

Research Ideas

• Creating a visualization mapping tool to help visualize the types of crimes and their locations over time within Chicago.
• An analysis tool for city officials or police departments so they can understand correlations between crime type, geography, and other factors like weather changes or economic downturns in order to develop long-term plans for crime prevention.
• Developing an AI model that would be able to predict what areas may be more vulnerable for certain types of crimes or even predict crimes ahead of time based on the data from this dataset

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: crimes-one-year-prior-to-present-1.csv | Column name | Description | |:-------------------------|:------------------------------------------------------------------------------| | CASE# | Unique identifier for each crime incident (String) | | BLOCK | Block where the crime incident occurred (String) | | LOCATION DESCRIPTION | Description of where an incident took place (String) | | ARREST | Indicates if an arrest was made in connection with a crime incident (Boolean) | | DOMESTIC | Indicates if a reported incident is domestic related (Boolean) | | BEAT ...

The United States had, by far, the highest homicide rate of the G7 countries between 2000 and 2023. In 2023, it reached 5.76 homicides per 100,000 inhabitants, a decrease from 6.78 in 2021. By comparison, Canada, the G7 nation with the second-highest homicide rate, had 1.98 homicides per 100,000 inhabitants in 2023. Out of each G7 nation, Japan had the lowest rate with 0.23 homicides per 100,000 inhabitants.