As a contribution to nationwide efforts to more thoroughly understand urban violence, this study was conducted to assess the impact of cultural dynamics on homicide rates in Houston, Texas, and to profile homicides in the city from 1985 to 1994. This data collection provides the results of quantitative analysis of data collected from all Houston homicide cases recorded in the police murder logs for 1985-1994. Variables describe the homicide circumstances, the victim-offender relationship, the type of weapon used, and any drug- or gang-related activity involved. Other variables include the year and month in which the homicide occurred, whether the homicide occurred on a weekday or over the weekend, the motive of the homicide, whether the homicide was drug-related, whether the case was cleared by police at time of data entry, weapon type and means of killing, the relationship between the victim and the offender, whether a firearm was the homicide method, whether it was a multiple victim incident or multiple offender incident, whether the victim or the offender was younger than age 15, and the inter-racial relationship between the victim and the offender. Demographic variables include age, sex, and race of the victim as well as the offender.
U.S. Government Workshttps://www.usa.gov/government-works
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The Crime Reports 2024 dataset is a filtered view of the Crime Reports dataset.
Crime Reports dataset: https://datahub.austintexas.gov/d/fdj4-gpfu
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
This dataset represents the Dallas Police Public Data - RMS Incidents beginning June 1, 2014 to current-date. The Dallas Police Department strives to collect and disseminate police report information in a timely, accurate manner. This information reflects crimes as reported to the Dallas Police Department as of the current date. Crime classifications are based upon preliminary information supplied to the Dallas Police Department by the reporting parties and the preliminary classifications may be changed at a later date based upon additional investigation. Therefore, the Dallas Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information contained herein and the information should not be used for comparison purposes over time. The Dallas Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information.
This online site is an attempt to make it easier for citizens to access offense reports. In disseminating this crime information, we must also comply with current laws that regulate the release of potentially sensitive and confidential information. To ensure that privacy concerns are protected and legal standards are met, report data is "filtered" prior to being made available to the public. Among the exclusions are:
1.) Sexually oriented offenses 2.) Offenses where juveniles or children (individuals under 17 years of age) are the victim or suspect 3.) Listing of property items that are considered evidence 4.) Social Service Referral offenses 5.) Identifying vehicle information in certain offenses
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER Please read and understand the following information.
This dataset contains a record of incidents that the Austin Police Department responded to and wrote a report. Please note one incident may have several offenses associated with it, but this dataset only depicts the highest level offense of that incident. Data is from Report Date of January 1-December 31, 2018. This dataset is updated weekly. Understanding the following conditions will allow you to get the most out of the data provided. Due to the methodological differences in data collection, different data sources may produce different results. This database is updated weekly, and a similar or same search done on different dates can produce different results. Comparisons should not be made between numbers generated with this database to any other official police reports. Data provided represents only calls for police service where a report was written. Totals in the database may vary considerably from official totals following investigation and final categorization. Therefore, the data should not be used for comparisons with Uniform Crime Report statistics. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided. Pursuant to section 552.301 (c) of the Government Code, the City of Austin has designated certain addresses to receive requests for public information sent by electronic mail. For requests seeking public records held by the Austin Police Department, please submit by utilizing the following link: https://apd-austintx.govqa.us/WEBAPP/_rs/(S(0auyup1oiorznxkwim1a1vpj))/supporthome.aspx
This study assessed the influence of the criminal justice system on the bereavement process of individuals who have lost loved ones to homicide. The primary question motivating this research was: Can the criminal justice system help to heal the harm of the bereaved's loss? The three main goals of this study were to examine: (1) bereaveds' perceptions of and experiences with the criminal justice system and its professionals, (2) the ways criminal justice professionals perceive and manage the bereaved, and (3) the nature of the association between the criminal justice system and bereaveds' psychological well-being. Data were obtained from in-depth interviews conducted in June through December 2000 with two different groups of people. The first group represented individuals who had lost loved ones to murder between 1994 and 1998 in one county in Texas (Parts 1-33). The second group (Parts 34-55) was comprised county criminal justice professionals (murder detectives, prosecutors, criminal court judges, victim's service counselors, and victim's rights advocates). For Parts 1-33, interviewees were asked a series of open-ended questions about the criminal justice system, including how they learned about the death and the current disposition of the murder case. They also were asked what they would change about the criminal justice system's treatment of them. The bereaved were further asked about their sex, age, race, education, marital status, employment status, income, and number of children. Additional questions were asked regarding the deceased's age at the time of the murder, race, relationship to interviewee, and the deceased's relationship to the murderer, if known. For Parts 34-55, respondents were asked about their job titles, years in those positions, number of murder cases handled in the past year, number of murder cases handled over the course of their career, and whether they thought the criminal justice system could help to heal the harm of people who had lost loved ones to murder. All interviews (Parts 1-55) were tape-recorded and later transcribed by the interviewer, who replaced actual names of individuals, neighborhoods, cities, counties, or any other identifiable names with pseudonyms.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The Crime Reports 2023 dataset is a filtered view of the Crime Reports dataset.
Crime Reports dataset: https://datahub.austintexas.gov/d/fdj4-gpfu
This dataset encompasses all of the Part 1 crimes in Austin, Texas from January 1 2015 - December 31 2015.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER 1. The data provided are for informational use only and may differ from official APD crime data. 2. APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used. 3. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
Report of Custodian Deaths on record with the Office of the Attorney General. These reports include the date, the reporting agency, and the name of the deceased.
Officer Involved Shooting dataset from 2007 through 2016. AUSTIN POLICE DEPARTMENT DATA DISCLAIMER 1. The data provided is for informational use only and is not considered official APD crime data as in official Texas DPS or FBI crime reports. 2. APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used. 3. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
This dataset displays the locations of all the Adult Correctional Facilities in the state of Texas as of 3.2008. This includes both female and male institutions.
This dataset contains 342 National Park System unit boundaries. Under the jurisdiction of the National Park Service (NPS), these park units are located throughout the United States (U.S.) and its territories. Almost all the parks are located north of the equator in the western hemisphere; although a couple parks are south of the equator or in the eastern hemisphere. The dataset was compiled (and edited) from a variety sources: park-based GIS databases; U.S. Geological Survey 7.5' 1:24,000 quadrangles; NPS Park Land Status Maps; legal descriptions; etc.). The boundaries are in Latitude-Longitude (Clarke 1866-NAD27) decimal degrees. The ID_ field contains the unique 4 character park code identifying each park. The NAME1_ field contains the full park name. The NAME2_ field contains information about the source, scale, and date of the boundary. The boundaries are generally the designated boundary. Inholdings may or may not be shown depending on the park. This dataset was originally created in Environmental System's Research Institute's (ESRI) ATLAS*GIS software and is currently maintained in this software. This version of the dataset was created using ESRI's ArcTools 8.0.2 Import to ShapeFile from .AGF file command, ShapeFile to Coverage command, and then Export to Interchange File. To obtain the most accurate, current boundary, users should contact the specific park These digital park unit boundaries should not be used for any legal boundary disputes. They are intended solely for use only in identifying the general locations of national park units throughout the U.S. This dataset was compiled to assist the NPS Water Resources Division in determining the proximity of certain hydrographic features to national park units and whether national park units are contained in other management units.
This dataset examines the number of unidentified persons reported to the Centers for Disease Control and Preventions (CDC) National Death Index (NDI), by State, from 1980 to 2004. This report also looks at the number of unidentified human remains reported to the Federal Bureau of Investigations (FBI) National Crime Information Center (NCIC) Unidentified Person File. It describes the characteristics by race and gender and the manner of death. Highlights include the following: Between 1980 and 2004, about 10,300 unidentified human remains were reported to the National Death Index (NDI). Almost three-quarters of unidentified persons were reported by 5 states; Arizona, California, Florida, New York, and Texas. Of the 2,900 National Crime Information Center records that contained data on the manner of death, 27% were ruled homicides; 12%, accidental deaths; 7%, natural causes; and 5%, suicides. The majority of unidentified persons were white (70%); blacks made up 15% of unidentified persons; and race could not be determined in 13% of the cases. For more information about this data go to: http://www.ojp.usdoj.gov/bjs/abstract/uhrus04.htm
A dataset of crimes that occurred in the designated time period that are being investigated as hate crimes. In APD's opinion these cases have met the FBI's definition of a hate crime, as well as the State's and Federal Law's definition of a hate crime. The ultimate decision to prosecute lies with the appropriate County District Attorney.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER 1. The data provided are for informational use only and may differ from official APD crime data. 2. APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used. 3. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided. In APD's opinion these cases have met the FBI's definition as well as the State's definition and Federal hate crime law of a hate crime and are being investigated as such. The ultimate decision to prosecute lies with the appropriate County District Attorney.
A guide with field descriptions used to help understand APD's Response to Resistance datasets. AUSTIN POLICE DEPARTMENT DATA DISCLAIMER 1. The data provided is for informational use only and is not considered official APD crime data as in official Texas DPS or FBI crime reports. 2. APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used. 3. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
A dataset of APD Response to Resistance subjects which occurred in 2018.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER
The data provided is for informational use only and is not considered official APD crime data as in official Texas DPS or FBI crime reports.
APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used.
The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
The number of use of force subjects in the city of Austin for 2018. This dataset is used to provide additional insight visualizations on use of force subjects in the city of Austin in 2018.
This dataset supports measure(s) S.D.3 of SD23. https://data.austintexas.gov/stories/s/kx2d-jya7
Data Source: Versadex
Calculation: (S.D.3) N/A
Measure Time Period: Annually (Calendar Year)
Automated: no
Date of last description update: 8/10/2020
This is a region dataset delineating the areas of offshore Louisiana and Texas having Regional Response Team VI (RRT 6) pre-approval for the use of dispersants to break up an oil spill. This area is defined as that area of no less than 10 meters depth and at least three nautical miles from the nearest shoreline, out to the limit of the Exclusive Economic Zone. Three nautical miles from the nearest shoreline for Louisiana corresponds to the state's territorial limits. This data set is bounded on the west by the Galveston Marine Safety Office zone and on the east by the Mobile Marine Safety Office zone. The attributes of the boundary arcs indicate the source of each section of the boundary.
This boundary file shows the break up of Texas at the county level, with detailed information. Boundary files can be important for joining with other datasets. this dataset was reprojected from a state plain.
This file contains COVID-19 death counts, death rates, and percent of total deaths by jurisdiction of residence. The data is grouped by different time periods including 3-month period, weekly, and total (cumulative since January 1, 2020). United States death counts and rates include the 50 states, plus the District of Columbia and New York City. New York state estimates exclude New York City. Puerto Rico is included in HHS Region 2 estimates. Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file. Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death. Death counts should not be compared across states. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington. Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf). Rates are based on deaths occurring in the specified week/month and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly/monthly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly/monthly) rate prevailed for a full year. Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).
There were three key objectives to this study: (1) to determine the relative importance of crime-related as well as business-related factors in business relocation decisions, including business ownership, type of business, and business size, (2) to ascertain how businesses respond to crime and fear of crime, such as by moving, adding more security, requesting police protection, or cooperating with other businesses, and (3) to identify the types of crime prevention measures and assistance that businesses currently need and to assess the roles of business associations and police departments in providing enhanced crime prevention assistance. From November 1995 through February 1996 a mail survey was distributed to a sample of three different groups of businesses in Austin's 14 highest crime ZIP codes. The groups consisted of: (1) businesses that remained within the same ZIP code between 1990 and 1993, (2) new firms that either moved into a high-crime ZIP code area between 1990 and 1993 or were created in a high-crime ZIP code between 1990 and 1993, and (3) businesses that relocated from high-crime ZIP code areas to other locations in Austin's metropolitan area or elsewhere in Texas. Variables include type of business, ownership of business, number of employees, reasons for moving or staying in neighborhood, types of crime that affected business, owner's response to business crime, customer safety, and the role of business associations and the police in preventing crime.
Urbanized areas in Texas. Created by TGLO personnel based on USGS data. For display/cartography at intermediate or smaller scales (e.g. smaller than 1:24,000. Lines updated to reflect current extent of urban and suburban areas. this data set was reprojected from a state plain file.
As a contribution to nationwide efforts to more thoroughly understand urban violence, this study was conducted to assess the impact of cultural dynamics on homicide rates in Houston, Texas, and to profile homicides in the city from 1985 to 1994. This data collection provides the results of quantitative analysis of data collected from all Houston homicide cases recorded in the police murder logs for 1985-1994. Variables describe the homicide circumstances, the victim-offender relationship, the type of weapon used, and any drug- or gang-related activity involved. Other variables include the year and month in which the homicide occurred, whether the homicide occurred on a weekday or over the weekend, the motive of the homicide, whether the homicide was drug-related, whether the case was cleared by police at time of data entry, weapon type and means of killing, the relationship between the victim and the offender, whether a firearm was the homicide method, whether it was a multiple victim incident or multiple offender incident, whether the victim or the offender was younger than age 15, and the inter-racial relationship between the victim and the offender. Demographic variables include age, sex, and race of the victim as well as the offender.