Historical dataset showing Georgia crime rate per 100K population by year from 1990 to 2019.

Violent crime rate for each jurisdiction in Fulton County, Georgia (2014 and 2015)

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Fulton County, GA (DISCONTINUED) (FBITC013121) from 2004 to 2021 about Fulton County, GA; crime; violent crime; property crime; Atlanta; GA; and USA.

Crime rates for various neighborhoods in Atlanta, Georgia, highlighting areas with higher crime rates compared to the city average.

This interactive mapping tool, created for the 33N blog, displays homicides in the City of Atlanta between January 2007 and February 2017 by race/ethnicity and sex of the victim. The data for this tool was provided by the Washington Post as part of an investigative project which compiled information on 54,000 homicides in the U.S. to identify hot spots where homicides rates are high but arrests are low.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Putnam County, GA (DISCONTINUED) (FBITC013237) from 2005 to 2021 about Putnam County, GA; crime; violent crime; property crime; GA; and USA.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Pickens County, GA (DISCONTINUED) (FBITC013227) from 2007 to 2021 about Pickens County, GA; crime; violent crime; property crime; Atlanta; GA; and USA.

Detailed crime statistics for Atlanta, Georgia, in 2024, highlighting overall crime trends and specific neighborhood data.

Annual crime rates as incidents per 100,000 residents. Includes violent and property index crimes for Fulton County over multiple years.

This study examines the question of how some urban neighborhoods maintain a low crime rate despite their proximity and similarity to relatively high crime areas. The purpose of the study is to investigate differences in various dimensions of the concept of territoriality (spatial identity, local ties, social cohesion, informal social control) and physical characteristics (land use, housing, street type, boundary characteristics) in three pairs of neighborhoods in Atlanta, Georgia. The study neighborhoods were selected by locating pairs of adjacent neighborhoods with distinctly different crime levels. The criteria for selection, other than the difference in crime rates and physical adjacency, were comparable racial composition and comparable economic status. This data collection is divided into two files. Part 1, Atlanta Plan File, contains information on every parcel of land within the six neighborhoods in the study. The variables include ownership, type of land use, physical characteristics, characteristics of structures, and assessed value of each parcel of land within the six neighborhoods. This file was used in the data analysis to measure a number of physical characteristics of parcels and blocks in the study neighborhoods, and as the sampling frame for the household survey. The original data were collected by the City of Atlanta Planning Bureau. Part 2, Atlanta Survey File, contains the results of a household survey administered to a stratified random sample of households within each of the study neighborhoods. Variables cover respondents' attitudes and behavior related to the neighborhood, fear of crime, avoidance and protective measures, and victimization experiences. Crime rates, land use, and housing characteristics of the block in which the respondent resided were coded onto each case record.

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.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in McIntosh County, GA (DISCONTINUED) (FBITC013191) from 2004 to 2021 about McIntosh County, GA; Brunswick; crime; violent crime; property crime; GA; and USA.

Context

This dataset is an exported version of the Atlanta Crime Data Report, a dataset on crimes in the city of Atalanta, Georgia published by the city's police department.

Content

This data is regarding crime data from the City of Atlanta. This area contains weekly crime reports commanders use to best deploy Atlanta officers to combat crime. It also contains a raw crime data dump that is updated weekly. Crime data in this area is counted by incident in the area.

Acknowledgements

The original source for this dataset is located on the Atlanta PD website.

Inspiration

What can you learn about crime in Atlanta from this dataset? How does it compare to crimes committed in other cities with data on Kaggle, like New York City?

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Cobb County, GA (DISCONTINUED) (FBITC013067) from 2004 to 2021 about Cobb County, GA; crime; violent crime; property crime; Atlanta; GA; and USA.

description: Crime Data dataset current as of 2008. Crime data geocoded monthly in Douglas, Coffee County, GA.; abstract: Crime Data dataset current as of 2008. Crime data geocoded monthly in Douglas, Coffee County, GA.

For this study, convenience store robbery victims and offenders in five states (Georgia, Massachusetts, Maryland, Michigan, and South Carolina) were interviewed. Robbery victims were identified by canvassing convenience stores in high-crime areas, while a sample of unrelated offenders was obtained from state prison rolls. The aims of the survey were to address questions of injury, to examine store characteristics that might influence the rate of robbery and injury, to compare how both victims and offenders perceived the robbery event (including their assessment of what could be done to prevent convenience store robberies in the future), and to identify ways in which the number of convenience store robberies might be reduced. Variables unique to Part 1, the Victim Data file, provide information on how the victim was injured, whether hospitalization was required for the injury, if the victim used any type of self-protection, and whether the victim had been trained to handle a robbery. Part 2, the Offender Data file, presents variables describing offenders' history of prior convenience store robberies, whether there had been an accomplice, motive for robbing the store, and whether various factors mattered in choosing the store to rob (e.g., cashier location, exit locations, lighting conditions, parking lot size, the number of clerks working, weather conditions, the time of day, and the number of customers in the store). Found in both files are variables detailing whether a victim injury occurred, use of a weapon, how each participant behaved, perceptions of why the store was targeted, what could have been done to prevent the robbery, and ratings by the researchers on the completeness, honesty, and cooperativeness of each participant during the interview. Demographic variables found in both the victim and offender files include age, gender, race, and ethnicity.

description: Crime Data dataset current as of 2008. Crime Data geocoded monthly in Tifton, Tift County, GA.; abstract: Crime Data dataset current as of 2008. Crime Data geocoded monthly in Tifton, Tift County, GA.

Comprehensive dataset of 31 Crime victim services in Georgia, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Georgia GE: Intentional Homicides: per 100,000 People data was reported at 0.990 Ratio in 2016. This records a decrease from the previous number of 2.705 Ratio for 2014. Georgia GE: Intentional Homicides: per 100,000 People data is updated yearly, averaging 5.708 Ratio from Dec 1995 (Median) to 2016, with 18 observations. The data reached an all-time high of 8.982 Ratio in 2005 and a record low of 0.990 Ratio in 2016. Georgia GE: Intentional Homicides: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Health Statistics. Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; Weighted average;

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Walton County, GA (DISCONTINUED) (FBITC013297) from 2004 to 2021 about Walton County, GA; crime; violent crime; property crime; Atlanta; GA; and USA.