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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.
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TwitterThis 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.
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This dataset was created by Dawood Ibrahim
Released under CC0: Public Domain
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TwitterTwo previously released data collections from ICPSR are combined in this dataset: CHARACTERISTICS OF HIGH AND LOW CRIME NEIGHBORHOODS IN ATLANTA, 1980 (ICPSR 7951) and CRIME FACTORS AND NEIGHBORHOOD DECLINE IN CHICAGO, 1979 (ICPSR 7952). Information for ICPSR 7951 was obtained from 523 residents interviewed in six selected neighborhoods in Atlanta, Georgia. A research team from the Research Triangle Institute sampled and surveyed the residents. ICPSR 7952 contains 3,310 interviews of Chicago residents in eight selected neighborhoods. The combined data collection contains variables on topics such as residents' demographics and socioeconomic status, personal crime rates, property crime rates, neighborhood crime rates, and neighborhood characteristics. The documentation contains three pieces of information for each variable: variable reference numbers for both the Atlanta and Chicago datasets, the complete wording of the questions put to the respondents of each survey, and the exact wording of the coding schemes adopted by the researchers.
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TwitterA majority of crime happened at Downtown and Midtown in 2020.
This dataset reflects reported incidents of crime that occurred in the City of Atlanta from 2009 to present. Data is extracted from Atlanta Police Department's official website. This data includes unverified reports supplied to the Police Department. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, Atlanta Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time.
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https://www.atlantapd.org/i-want-to/crime-data-downloads
Dataset Source: City of Atlanta
This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source —https://www.atlantapd.org/i-want-to/crime-data-downloads — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.
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What categories of crime exhibited the greatest year-over-year increase between 2015 and 2016?
Which month generally has the greatest number of motor vehicle thefts?
How does temperature affect the incident rate of violent crime (assault or battery)?
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Atlanta Metropolitan State College Police Department (University or College) in Georgia, including incidents, statistics, demographics, and detailed incident information.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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This dataset contains an annual count of crime incidents reported by the Atlanta Police Department (APD). It is based on incident-level data compiled from files released publicly by the ATP at https://www.atlantapd.org/i-want-to/crime-data-downloads. The numbers in this dataset may vary from other published statistics because the numbers here represent crime incidents and data from other sources often represent crime victims.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Atlanta Police Department (City) in Illinois, including incidents, statistics, demographics, and detailed incident information.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Metropolitan Atlanta Rapid Transit Authority (Other) in Georgia, including incidents, statistics, demographics, and detailed incident information.
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This dataset contains the age-adjusted firearm homicide rate for five Atlanta metro counties for the most recent years. The dataset is derived from a larger dataset (see ).
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This dataset contains processed incident-level crime data from the Atlanta Police Department (APD) focused on burglary-related crimes around Atlanta’s major college campuses. It supports research in crime prediction, spatial analysis, and time-series modeling.
Dataset Details
Dataset Description
This dataset aggregates burglary, larceny, robbery, and entering-auto offenses occurring within a one-mile radius of five major college… See the full description on the dataset page: https://huggingface.co/datasets/harmohan1/BurglaryLarceny.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Atlanta-Sandy Springs-Alpharetta, GA Metropolitan Statistical Area (MSA), including incidents, statistics, demographics, and agency information across multiple jurisdictions.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Atlanta Police Department (City) in Texas, including incidents, statistics, demographics, and detailed incident information.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/8261/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8261/terms
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.
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This data collection was designed to test the "incivilities thesis": that incivilities such as extant neighborhood physical conditions of disrepair or abandonment and troubling street behaviors contribute to residents' concerns for personal safety and their desire to leave their neighborhood. The collection examines between-individual versus between-neighborhood and between-city differences with respect to fear of crime and neighborhood commitment and also explores whether some perceived incivilities are more relevant to these outcomes than others. The data represent a secondary analysis of five ICPSR collections: (1) CHARACTERISTICS OF HIGH AND LOW CRIME NEIGHBORHOODS IN ATLANTA, 1980 (ICPSR 7951), (2) CRIME CHANGES IN BALTIMORE, 1970-1994 (ICPSR 2352), (3) CITIZEN PARTICIPATION AND COMMUNITY CRIME PREVENTION, 1979: CHICAGO METROPOLITAN AREA SURVEY (ICPSR 8086), (4) CRIME, FEAR, AND CONTROL IN NEIGHBORHOOD COMMERCIAL CENTERS: MINNEAPOLIS AND ST. PAUL, 1970-1982 (ICPSR 8167), and (5) TESTING THEORIES OF CRIMINALITY AND VICTIMIZATION IN SEATTLE, 1960-1990 (ICPSR 9741). Part 1, Survey Data, is an individual-level file that contains measures of residents' fear of victimization, avoidance of dangerous places, self-protection, neighborhood satisfaction, perceived incivilities (presence of litter, abandoned buildings, vandalism, and teens congregating), and demographic variables such as sex, age, and education. Part 2, Neighborhood Data, contains crime data and demographic variables from Part 1 aggregated to the neighborhood level, including percentage of the neighborhood that was African-American, gender percentages, average age and educational attainment of residents, average household size and length of residence, and information on home ownership.
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Abstract (en): This data collection was designed to evaluate the effects of disorderly neighborhood conditions on community decline and residents' reactions toward crime. Data from five previously collected datasets were aggregated and merged to produce this collection: (1) REACTIONS TO CRIME PROJECT, 1977 [CHICAGO, PHILADELPHIA, SAN FRANCISCO]: SURVEY ON FEAR OF CRIME AND CITIZEN BEHAVIOR (ICPSR 8162), (2) CHARACTERISTICS OF HIGH AND LOW CRIME NEIGHBORHOODS IN ATLANTA, 1980 (ICPSR 8951), (3) CRIME FACTORS AND NEIGHBORHOOD DECLINE IN CHICAGO, 1979 (ICPSR 7952), (4) REDUCING FEAR OF CRIME PROGRAM EVALUATION SURVEYS IN NEWARK AND HOUSTON, 1983-1984 (ICPSR 8496), and (5) a survey of citizen participation in crime prevention in six Chicago neighborhoods conducted by Rosenbaum, Lewis, and Grant. Neighborhood-level data cover topics such as disorder, crime, fear, residential satisfaction, and other key factors in community decline. Variables include disorder characteristics such as loitering, drugs, vandalism, noise, and gang activity, demographic characteristics such as race, age, and unemployment rate, and neighborhood crime problems such as burglary, robbery, assault, and rape. Information is also available on crime avoidance behaviors, fear of crime on an aggregated scale, neighborhood satisfaction on an aggregated scale, and cohesion and social interaction. 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: Standardized missing values.. The 40 neighborhoods are a convenience sample based on the availability of surveys with similar variables of interest. Each of the five data collections from which the sample was drawn used different procedures for selecting respondents and different definitions of community. See detailed descriptions in Lewis and Skogan (ICPSR 8162), Greenberg (ICPSR 7951), Taub and Taylor (ICPSR 7952), Pate and Annan (ICPSR 8496), and Skogan's final report to the National Institute of Justice. 1998-04-20 The data have been reformatted to logical record length, and new SPSS data definition statements have been prepared. Also, SAS data definition statements were produced for the collection, and the codebook was converted to a Portable Document Format file. Funding insitution(s): United States Department of Justice. Office of Justice Programs. National Institute of Justice (85-IJ-CX-0074).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.