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

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

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.

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

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?

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.

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.

The Apartment Safety Checker Map, created in conjunction with Sandy Springs Police, provides the numbers on incidents reported within the individual apartment communities. Included as part of the Apartment Safety Checker program are: murder, rape robbery, aggravated assault, burglary, theft, theft from vehicle, motor vehicle theft, arson, disorderly conduct, narcotics offenses and loitering/prowling. This list is not all crimes that occurred. Any unfounded reports of crime are excluded from the totals.One of the biggest concerns when it comes to renting an apartment is safety. Feeling safe in your own home is important to any renter. There are a few steps you can take to help in your research.View the neighborhood crime rate. Using the Apartment Safety Checker tool, you can compare the criminal activity in your chosen area. Visit the area. If possible, walk, drive, or take a bus through the area to see how safe it is. If there is a particular route you would use to get to school or work, use that. Consider the quality of the area both during the day and at night.During your apartment tour, look for secure entrances and exits; lighting around sidewalks, stairwells, hallways, mailboxes, laundry rooms and other common areas; and security features such as peepholes, deadbolt locks, and any on-site security. User Guide:Select an apartment name from the list or type an apartment name in the search bar. Once a complex is located on the map, click inside the boundary for crime statistics. Crime data is updated in March every year. Disclaimer:This map has been compiled from the most accurate source data available from Fulton County and the City of Sandy Springs. However, this map is for informational purposes only and is not to be interpreted as a legal document. The City assumes no legal responsibility for the information shown on this map. For inquiries please contact the City of Sandy Springs at GIS@sandyspringsga.gov

The data for this collection were gathered from the 1970 and 1980 Censuses and the Uniform Crime Reports for 1970 through 1980. The unit of analysis in this data collection is cities. Included are population totals by age group and arrest data for selected crimes by age group for Atlanta, Georgia, Chicago, Illinois, Denver, Colorado, Knoxville, Tennessee, San Jose, California, Spokane, Washington, and Tucson, Arizona. Population data by sex and age for all cities are contained in Part 4. The 123 variables provide data by age categories ranging from age 5 to age 69. Part 1, the arrest file for Atlanta and Chicago, provides arrest data for 1970 to 1980 by sex and age, ranging from age 10 and under to age 65 and over. The arrest data for other cities span two data files. Part 2 includes arrest data by sex for ages 15 to 24 for the years 1970 to 1980. Part 3 provides arrest data for ages 25 to 65 and over for the years 1970, 1975, and 1980. Arrest data are collected for the following crimes: murder, forcible rape, robbery, aggravated assault, burglary, larceny, motor vehicle theft, other assaults, arson, forgery, fraud, embezzlement, stolen property, vandalism, weapons, prostitution, other sex offenses, opium abuse, marijuana abuse, gambling, family offenses, drunk driving, liquor law violations, drunkenness, disorderly conduct, vagrancy, and all other offenses combined.

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;

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.

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.

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.

NIJ's Recidivism Challenge - Data Provided by Georgia Department of Community Supervision, Georgia Crime Information Center. The initial test dataset is the remaining 30% of the population used in the Challenge. This dataset does not have the dependent variable as that is what you are intended to forecast.

The purpose of this data collection was to assess the impact of the 1973 reforms of the death penalty laws on the levels of arbitrariness and discrimination in capital sentencing in Georgia. The data cover two different periods corresponding to the periods before and after the reform: 1970-1972 and 1973-1978. Numerous measures of defendant blameworthiness were developed as a basis for assessing levels of arbitrariness and discrimination in Georgia's capital charging and sentencing system. Specific variables include race, sex, current offense, prior conviction and arrests, method of killing, and number of victims.

NIJ's Recidivism Challenge - Data Provided by Georgia Department of Community Supervision, Georgia Crime Information Center. The Challenge uses data on roughly 26,000 individuals from the State of Georgia released from Georgia prisons on discretionary parole to the custody of the Georgia Department of Community Supervision (GDCS) for the purpose of post-incarceration supervision between January 1, 2013 and December 31, 2015. This is the dataset of all individuals (training and test) with all variables released.

This data collection effort is an investigation of criminological and sociological factors within the Black community with a focus on the alleged high incidence of violent crime committed by Blacks. Four communities within Atlanta, Georgia, and four within Washington, DC, were selected for the study. Two communities in each area were designated high-crime areas, the other two low-crime areas. Variables include the respondents' opinions on the relationship of race and socioeconomic class to crime, their fear of crime and experiences with crime, and contacts and attitudes toward the police. Demographic data include respondents' gender and religion.

This data collection effort is an investigation of criminological and sociological factors within the Black community with a focus on the alleged high incidence of violent crime committed by Blacks. Four communities within Atlanta, Georgia, and four within Washington, DC, were selected for the study. Two communities in each area were designated high-crime areas, the other two low-crime areas. Variables include the respondents' opinions on the relationship of race and socioeconomic class to crime, their fear of crime and experiences with crime, and contacts and attitudes toward the police. Demographic data include respondents' gender and religion.

California reported the largest number of homicides to the FBI in 2023, at 1,929 for the year. Texas recorded the second-highest number of murders, with 1,845 for the year. Homicide victim demographics There were a total of 19,252 reported homicide cases in the U.S. in 2023. When looking at murder victims by gender and ethnicity, the vast majority were male, while just over half of the victims were Black or African American. In addition, homicide victims in the United States were found most likely to be between the ages of 20 and 34 years old, with the majority of victims aged between 17 to 54 years old. Are murders up? In short, no – since the 1990s the number of murders in the U.S. has decreased significantly. In 1990, the murder rate per 100,000 people stood at 9.4, and stood at 5.7 in 2023. It should be noted though that the number of homicides increased slightly from 2014 to 2017, although figures declined again in 2018 and 2019, before ticking up once more in 2020 and 2021. Despite this decline, when viewed in international comparison, the U.S. murder rate is still notably high. For example, the Canadian homicide rate stood at 1.94 in 2023, while the homicide rate in England and Wales was even lower.