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Multiple datasets related to Houston Police Department Crime Stats
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Pulled from here: https://www.houstontx.gov/police/cs/crime-stats-archives.htm
Recognized that Houston crime stats were in an outdated .xls format and partitioned by month. Used bs4 to pull .xls files onto local machine and used pandas read_excel and applied some basic cleaning to provide an aggregate dataset of all Houston crime data.
Data is collected from 2010-2018 with some extra historical rows from the 1900s
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/3399/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/3399/terms
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.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Houston Police Department (City) in Minnesota, including incidents, statistics, demographics, and detailed incident information.
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Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Houston County, TX (DISCONTINUED) (FBITC048225) from 2005 to 2021 about Houston County, TX; crime; violent crime; property crime; TX; and USA.
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TwitterWhat is the Purpose of this App?This application enables users to locate nearby crime cases associated with a specified address. It uses a 30-day NIBRS crime dataset obtained from the Houston Police Department. The data is updated nightly, though it may have a delay of several days. What Information is Available?Houston Police Department's 30-day crime cases in five categories: Group A Offenses - PersonGroup A Offenses - PropertyGroup A Offenses - SocietyGroup B OffensesNot a Crime What is National Incident-Based Reporting System (NIBRS)?The National Incident-Based Reporting System (NIBRS), implemented to improve the overall quality of crime data collected by law enforcement, captures details on each single crime incident—as well as on separate offenses within the same incident—including information on victims, known offenders, relationships between victims and offenders, arrestees, and property involved in the crimes.Unlike data reported through UCR’s traditional Summary System—an aggregate monthly tally of crimes— NIBRS data goes much deeper because of its ability to provide circumstances and context for crimes. It includes all offenses within a single incident and additional aspects about each event, like location, time of day, and whether the incident was cleared. More information about crime data reported under NIBRS can be found within the FBI’s National Incident-Based Reporting System (NIBRS) User Manual.Ultimately, NIBRS will improve the detail and overall quality of crime data, which will help law enforcement and communities around the country use resources more strategically and effectively.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Houston Police Department (City) in Delaware, including incidents, statistics, demographics, and detailed incident information.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for University of Texas: Houston (University or College) in Texas, including incidents, statistics, demographics, and detailed incident information.
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TwitterIn 2023, an estimated 1,21,467 violent crimes occurred in the United States. This is a decrease from the year before, when 1,256,671 violent crimes were reported. Violent crime in the United States The Federal Bureau of Investigation reported that violent crime fell nationwide in the period from 1990 to 2023. Violent crime was at a height of 1.93 million crimes in 1992, but has since reached a low of 1.15 million violent crimes in 2014. When conducting crime reporting, the FBI’s Uniform Crime Reporting Program considered murder, nonnegligent manslaughter, forcible rape, robbery and aggravated assault to be violent crimes, because they are offenses which involve force or threat of violence. In 2023, there were 19,252 reported murder and nonnegligent manslaughter cases in the United States. California ranked first on a list of U.S. states by number of murders, followed by Texas, and Florida.The greatest number of murders were committed by murderers of unknown relationship to their victim. “Girlfriend” was the fourth most common relationship of victim to offender in 2023, with a reported 568 partners murdering their girlfriends that year, while the sixth most common was “wife.” In addition, seven people were murdered by their employees and 12 people were murdered by their employers. The most used murder weapon in 2023 was the handgun, which was used in 7,1 murders that year. According to the FBI, firearms (of all types) were used in more than half of the nation’s murders. The total number of firearms manufactured in the U.S. annually has reached over 13 million units.
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TwitterThis GIS dataset summarized Houston Police Department NIBRS crime reports by the Houston area 8-digit Open Location Code grid. This Houston area Open Location Code (OLC) grid system is based on latitudes and longitudes in WGS84 coordinates. Each 6-digit block has a size of 3 arc-minutes by 3 arc-minutes (approximately 3.41 miles). Each 8-digit block has a size of 3 arc-minutes by 3 arc-minutes (approximately 3.41 miles). Each 8-digit block has a size of 9 arc-seconds by 9 arc-seconds (approximately 900 feet). This grid system is used for summary statistics. This GIS dataset is based on NIBRS data published by Houston Police Department (HPD). The original source data can be found on HPD's Monthly Crime Data By Street And Police Beat webpage "https://www.houstontx.gov/police/cs/Monthly_Crime_Data_by_Street_and_Police_Beat.htm"This GIS dataset was processed and published by Houston Information Technology Services (HITS). National Incident-Based Reporting System (NIBRS) is an incident-based reporting system used by law enforcement agencies in the United States for collecting and reporting data on crimes. Local, state and federal agencies generate NIBRS data from their records management systems. Data is collected on every incident and arrest in the Group A offense category. These Group A offenses include 52 NIBRS classes in three main categories (Person, Property, and Society.) Specific facts about these offenses are gathered and reported to NIBRS. In addition to the Group A offenses, 10 Group B offenses are reported with only the arrest information. Disclaimer: This GIS dataset is prepared and made available for general reference purposes only and should not be used, or relied upon for specific applications, without independent verification. The City of Houston neither represents, nor warrants COHGIS data accuracy, or completeness, nor will the City of Houston accept liability of any kind in conjunction with its use. COHGIS information is in the public domain and may be copied without permission; citation of the source is appreciated.***** List of Field Names *****NIBRS_Class | Description | NIBRS_Group | Group | Field_Name09A | Murder, non-negligent | Group A - Person | AI | HPD_NIBRS_AI_09A_CNT_202009B | Negligent manslaughter | Group A - Person | AI | HPD_NIBRS_AI_09B_CNT_202009C | Justifiable homicide | Not a Crime | N | HPD_NIBRS_N_09C_CNT_2020100 | Kidnapping, abduction | Group A - Person | AI | HPD_NIBRS_AI_100_CNT_202011A | Forcible rape | Group A - Person | AI | HPD_NIBRS_AI_11A_CNT_202011B | Forcible sodomy | Group A - Person | AI | HPD_NIBRS_AI_11B_CNT_202011C | Sexual assault with an object | Group A - Person | AI | HPD_NIBRS_AI_11C_CNT_202011D | Forcible fondling | Group A - Person | AI | HPD_NIBRS_AI_11D_CNT_2020120 | Robbery | Group A - Property | AP | HPD_NIBRS_AP_120_CNT_202013A | Aggravated Assault | Group A - Person | AI | HPD_NIBRS_AI_13A_CNT_202013B | Simple assault | Group A - Person | AI | HPD_NIBRS_AI_13B_CNT_202013C | Intimidation | Group A - Person | AI | HPD_NIBRS_AI_13C_CNT_2020200 | Arson | Group A - Property | AP | HPD_NIBRS_AP_200_CNT_2020210 | Extortion, Blackmail | Group A - Property | AP | HPD_NIBRS_AP_210_CNT_2020220 | Burglary, Breaking and Entering | Group A - Property | AP | HPD_NIBRS_AP_220_CNT_202023A | Pocket-picking | Group A - Property | AP | HPD_NIBRS_AP_23A_CNT_202023B | Purse-snatching | Group A - Property | AP | HPD_NIBRS_AP_23B_CNT_202023C | Shoplifting | Group A - Property | AP | HPD_NIBRS_AP_23C_CNT_202023D | Theft from building | Group A - Property | AP | HPD_NIBRS_AP_23D_CNT_202023E | From coin-operated machine or device | Group A - Property | AP | HPD_NIBRS_AP_23E_CNT_202023F | Theft from motor vehicle | Group A - Property | AP | HPD_NIBRS_AP_23F_CNT_202023G | Theft of motor vehicle parts or accessory | Group A - Property | AP | HPD_NIBRS_AP_23G_CNT_202023H | All other larceny | Group A - Property | AP | HPD_NIBRS_AP_23H_CNT_2020240 | Motor vehicle theft | Group A - Property | AP | HPD_NIBRS_AP_240_CNT_2020250 | Counterfeiting, forgery | Group A - Property | AP | HPD_NIBRS_AP_250_CNT_202026A | False pretenses, swindle | Group A - Property | AP | HPD_NIBRS_AP_26A_CNT_202026B | Credit card, ATM fraud | Group A - Property | AP | HPD_NIBRS_AP_26B_CNT_202026C | Impersonation | Group A - Property | AP | HPD_NIBRS_AP_26C_CNT_202026D | Welfare fraud | Group A - Property | AP | HPD_NIBRS_AP_26D_CNT_202026E | Wire fraud | Group A - Property | AP | HPD_NIBRS_AP_26E_CNT_202026F | Identify theft | Group A - Property | AP | HPD_NIBRS_AP_26F_CNT_202026G | Hacking/Computer Invasion | Group A - Property | AP | HPD_NIBRS_AP_26G_CNT_2020270 | Embezzlement | Group A - Property | AP | HPD_NIBRS_AP_270_CNT_2020280 | Stolen property offenses | Group A - Property | AP | HPD_NIBRS_AP_280_CNT_2020290 | Destruction, damage, vandalism | Group A - Property | AP | HPD_NIBRS_AP_290_CNT_202035A | Drug, narcotic violations | Group A - Society | AS | HPD_NIBRS_AS_35A_CNT_202035B | Drug equipment violations | Group A - Society | AS | HPD_NIBRS_AS_35B_CNT_202036A | Incest | Group A - Person | AI | HPD_NIBRS_AI_36A_CNT_202036B | Statutory rape | Group A - Person | AI | HPD_NIBRS_AI_36B_CNT_2020370 | Pornographs, obscene material | Group A - Society | AS | HPD_NIBRS_AS_370_CNT_202039A | Betting/wagering | Group A - Society | AS | HPD_NIBRS_AS_39A_CNT_202039B | Promoting gambling | Group A - Society | AS | HPD_NIBRS_AS_39B_CNT_202039C | Gambling equipment violations | Group A - Society | AS | HPD_NIBRS_AS_39C_CNT_202040A | Prostitution | Group A - Society | AS | HPD_NIBRS_AS_40A_CNT_202040B | Assisting or promoting prostitution | Group A - Society | AS | HPD_NIBRS_AS_40B_CNT_202040C | Purchasing prostitution | Group A - Society | AS | HPD_NIBRS_AS_40C_CNT_2020510 | Bribery | Group A - Property | AP | HPD_NIBRS_AP_510_CNT_2020520 | Weapon law violations | Group A - Society | AS | HPD_NIBRS_AS_520_CNT_202064A | Human Trafficking/Commercial Sex Act | Group A - Person | AI | HPD_NIBRS_AI_64A_CNT_202064B | Human Trafficking/Involuntary Servitude | Group A - Person | AI | HPD_NIBRS_AI_64B_CNT_2020720 | Animal Cruelty | Group A - Society | AS | HPD_NIBRS_AS_720_CNT_202090A | Bad checks | Group B | B | HPD_NIBRS_B_90A_CNT_202090B | Curfew, loitering, vagrancy violations | Group B | B | HPD_NIBRS_B_90B_CNT_202090C | Disorderly conduct | Group B | B | HPD_NIBRS_B_90C_CNT_202090D | Driving under the influence | Group B | B | HPD_NIBRS_B_90D_CNT_202090E | Drunkenness | Group B | B | HPD_NIBRS_B_90E_CNT_202090F | Family offenses, no violence | Group B | B | HPD_NIBRS_B_90F_CNT_202090G | Liquor law violations | Group B | B | HPD_NIBRS_B_90G_CNT_202090H | Peeping tom | Group B | B | HPD_NIBRS_B_90H_CNT_202090I | Runaway | Group B | B | HPD_NIBRS_B_90I_CNT_202090J | Trespass of real property | Group B | B | HPD_NIBRS_B_90J_CNT_202090Z | All other offenses | Group B | B | HPD_NIBRS_B_90Z_CNT_2020
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TwitterThis hosted feature layer contains three HPD NIBRS crime summary polygon layers- Summary by the City of Houston Super Neighborhood boundaries. - Summary by Houston area 6-character Open Location Code grid- Summary by Houston area 8-character Open Location Code grid- Summary by the City of Houston Council District This Houston area Open Location Code (OLC) grid system is based on latitudes and longitudes in WGS84 coordinates. Each 6-character block has a size of 3 arc-minutes by 3 arc-minutes (approximately 3.41 miles). Each 8-character block has a size of 9 arc-seconds by 9 arc-seconds (approximately 900 feet). This grid system is used for summary statistics. This GIS dataset is based on NIBRS data published by Houston Police Department (HPD). The original source data can be found on HPD's Monthly Crime Data By Street And Police Beat webpage "https://www.houstontx.gov/police/cs/Monthly_Crime_Data_by_Street_and_Police_Beat.htm"This GIS dataset was processed and published by Houston Information Technology Services (HITS). National Incident-Based Reporting System (NIBRS) is an incident-based reporting system used by law enforcement agencies in the United States for collecting and reporting data on crimes. Local, state and federal agencies generate NIBRS data from their records management systems. Data is collected on every incident and arrest in the Group A offense category. These Group A offenses include 52 NIBRS classes in three main categories (Person, Property, and Society.) Specific facts about these offenses are gathered and reported to NIBRS. In addition to the Group A offenses, 10 Group B offenses are reported with only the arrest information. Disclaimer: This GIS dataset is prepared and made available for general reference purposes only and should not be used, or relied upon for specific applications, without independent verification. The City of Houston neither represents, nor warrants COHGIS data accuracy, or completeness, nor will the City of Houston accept liability of any kind in conjunction with its use. COHGIS information is in the public domain and may be copied without permission; citation of the source is appreciated. ***** List of Field Names ***** NIBRS_Class | Description | NIBRS_Group | Group | Field_Name09A | Murder, non-negligent | Group A - Person | AI | HPD_NIBRS_AI_09A_CNT_202009B | Negligent manslaughter | Group A - Person | AI | HPD_NIBRS_AI_09B_CNT_202009C | Justifiable homicide | Not a Crime | N | HPD_NIBRS_N_09C_CNT_2020100 | Kidnapping, abduction | Group A - Person | AI | HPD_NIBRS_AI_100_CNT_202011A | Forcible rape | Group A - Person | AI | HPD_NIBRS_AI_11A_CNT_202011B | Forcible sodomy | Group A - Person | AI | HPD_NIBRS_AI_11B_CNT_202011C | Sexual assault with an object | Group A - Person | AI | HPD_NIBRS_AI_11C_CNT_202011D | Forcible fondling | Group A - Person | AI | HPD_NIBRS_AI_11D_CNT_2020120 | Robbery | Group A - Property | AP | HPD_NIBRS_AP_120_CNT_202013A | Aggravated Assault | Group A - Person | AI | HPD_NIBRS_AI_13A_CNT_202013B | Simple assault | Group A - Person | AI | HPD_NIBRS_AI_13B_CNT_202013C | Intimidation | Group A - Person | AI | HPD_NIBRS_AI_13C_CNT_2020200 | Arson | Group A - Property | AP | HPD_NIBRS_AP_200_CNT_2020210 | Extortion, Blackmail | Group A - Property | AP | HPD_NIBRS_AP_210_CNT_2020220 | Burglary, Breaking and Entering | Group A - Property | AP | HPD_NIBRS_AP_220_CNT_202023A | Pocket-picking | Group A - Property | AP | HPD_NIBRS_AP_23A_CNT_202023B | Purse-snatching | Group A - Property | AP | HPD_NIBRS_AP_23B_CNT_202023C | Shoplifting | Group A - Property | AP | HPD_NIBRS_AP_23C_CNT_202023D | Theft from building | Group A - Property | AP | HPD_NIBRS_AP_23D_CNT_202023E | From coin-operated machine or device | Group A - Property | AP | HPD_NIBRS_AP_23E_CNT_202023F | Theft from motor vehicle | Group A - Property | AP | HPD_NIBRS_AP_23F_CNT_202023G | Theft of motor vehicle parts or accessory | Group A - Property | AP | HPD_NIBRS_AP_23G_CNT_202023H | All other larceny | Group A - Property | AP | HPD_NIBRS_AP_23H_CNT_2020240 | Motor vehicle theft | Group A - Property | AP | HPD_NIBRS_AP_240_CNT_2020250 | Counterfeiting, forgery | Group A - Property | AP | HPD_NIBRS_AP_250_CNT_202026A | False pretenses, swindle | Group A - Property | AP | HPD_NIBRS_AP_26A_CNT_202026B | Credit card, ATM fraud | Group A - Property | AP | HPD_NIBRS_AP_26B_CNT_202026C | Impersonation | Group A - Property | AP | HPD_NIBRS_AP_26C_CNT_202026D | Welfare fraud | Group A - Property | AP | HPD_NIBRS_AP_26D_CNT_202026E | Wire fraud | Group A - Property | AP | HPD_NIBRS_AP_26E_CNT_202026F | Identify theft | Group A - Property | AP | HPD_NIBRS_AP_26F_CNT_202026G | Hacking/Computer Invasion | Group A - Property | AP | HPD_NIBRS_AP_26G_CNT_2020270 | Embezzlement | Group A - Property | AP | HPD_NIBRS_AP_270_CNT_2020280 | Stolen property offenses | Group A - Property | AP | HPD_NIBRS_AP_280_CNT_2020290 | Destruction, damage, vandalism | Group A - Property | AP | HPD_NIBRS_AP_290_CNT_202035A | Drug, narcotic violations | Group A - Society | AS | HPD_NIBRS_AS_35A_CNT_202035B | Drug equipment violations | Group A - Society | AS | HPD_NIBRS_AS_35B_CNT_202036A | Incest | Group A - Person | AI | HPD_NIBRS_AI_36A_CNT_202036B | Statutory rape | Group A - Person | AI | HPD_NIBRS_AI_36B_CNT_2020370 | Pornographs, obscene material | Group A - Society | AS | HPD_NIBRS_AS_370_CNT_202039A | Betting/wagering | Group A - Society | AS | HPD_NIBRS_AS_39A_CNT_202039B | Promoting gambling | Group A - Society | AS | HPD_NIBRS_AS_39B_CNT_202039C | Gambling equipment violations | Group A - Society | AS | HPD_NIBRS_AS_39C_CNT_202040A | Prostitution | Group A - Society | AS | HPD_NIBRS_AS_40A_CNT_202040B | Assisting or promoting prostitution | Group A - Society | AS | HPD_NIBRS_AS_40B_CNT_202040C | Purchasing prostitution | Group A - Society | AS | HPD_NIBRS_AS_40C_CNT_2020510 | Bribery | Group A - Property | AP | HPD_NIBRS_AP_510_CNT_2020520 | Weapon law violations | Group A - Society | AS | HPD_NIBRS_AS_520_CNT_202064A | Human Trafficking/Commercial Sex Act | Group A - Person | AI | HPD_NIBRS_AI_64A_CNT_202064B | Human Trafficking/Involuntary Servitude | Group A - Person | AI | HPD_NIBRS_AI_64B_CNT_2020720 | Animal Cruelty | Group A - Society | AS | HPD_NIBRS_AS_720_CNT_202090A | Bad checks | Group B | B | HPD_NIBRS_B_90A_CNT_202090B | Curfew, loitering, vagrancy violations | Group B | B | HPD_NIBRS_B_90B_CNT_202090C | Disorderly conduct | Group B | B | HPD_NIBRS_B_90C_CNT_202090D | Driving under the influence | Group B | B | HPD_NIBRS_B_90D_CNT_202090E | Drunkenness | Group B | B | HPD_NIBRS_B_90E_CNT_202090F | Family offenses, no violence | Group B | B | HPD_NIBRS_B_90F_CNT_202090G | Liquor law violations | Group B | B | HPD_NIBRS_B_90G_CNT_202090H | Peeping tom | Group B | B | HPD_NIBRS_B_90H_CNT_202090I | Runaway | Group B | B | HPD_NIBRS_B_90I_CNT_202090J | Trespass of real property | Group B | B | HPD_NIBRS_B_90J_CNT_202090Z | All other offenses | Group B | B | HPD_NIBRS_B_90Z_CNT_2020
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TwitterHouseholds and establishments in seven neighborhoods in Houston, Texas, and Newark, New Jersey, were surveyed to determine the extent of victimization experiences and crime prevention measures in these areas. Citizens' attitudes toward the police were also examined. Baseline data were collected to determine residents' perceptions of crime, victimization experiences, crime-avoidance behavior, and level of satisfaction with the quality of life in their neighborhoods (Parts 1 and 3). Follow-up surveys were conducted to evaluate the effectiveness of experimental police programs designed to reduce the fear of crime within the communities. These results are presented in Parts 2 and 4. In Part 5, questions similar to those in the baseline survey were posed to two groups of victims who reported crimes to the police. One group had received a follow-up call to provide the victim with information, assistance, and reassurance that someone cared, and the other was a control group of victims that had not received a follow-up call. Part 6 contains data from a newsletter experiment conducted by the police departments after the baseline data were gathered, in one area each of Houston and Newark. Two versions of an anti-crime newsletter were mailed to respondents to the baseline survey and also to nonrespondents living in the area. These groups were then interviewed, along with control groups of baseline respondents and nonrespondents who might have seen the newsletter but were not selected for the mailing. Demographic data collected include age, sex, race, education and employment.
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TwitterThis GIS dataset summarized Houston Police Department NIBRS crime reports by the City of Houston Super Neighborhood boundaries. This GIS dataset is based on NIBRS data published by Houston Police Department (HPD). The original source data can be found on HPD's Monthly Crime Data By Street And Police Beat webpage "https://www.houstontx.gov/police/cs/Monthly_Crime_Data_by_Street_and_Police_Beat.htm"This GIS dataset was processed and published by Houston Information Technology Services (HITS). National Incident-Based Reporting System (NIBRS) is an incident-based reporting system used by law enforcement agencies in the United States for collecting and reporting data on crimes. Local, state and federal agencies generate NIBRS data from their records management systems. Data is collected on every incident and arrest in the Group A offense category. These Group A offenses include 52 NIBRS classes in three main categories (Person, Property, and Society.) Specific facts about these offenses are gathered and reported to NIBRS. In addition to the Group A offenses, 10 Group B offenses are reported with only the arrest information. Disclaimer: This GIS dataset is prepared and made available for general reference purposes only and should not be used, or relied upon for specific applications, without independent verification. The City of Houston neither represents, nor warrants COHGIS data accuracy, or completeness, nor will the City of Houston accept liability of any kind in conjunction with its use. COHGIS information is in the public domain and may be copied without permission; citation of the source is appreciated.***** List of Field Names *****NIBRS_Class | Description | NIBRS_Group | Group | Field_Name09A | Murder, non-negligent | Group A - Person | AI | HPD_NIBRS_AI_09A_CNT_202009B | Negligent manslaughter | Group A - Person | AI | HPD_NIBRS_AI_09B_CNT_202009C | Justifiable homicide | Not a Crime | N | HPD_NIBRS_N_09C_CNT_2020100 | Kidnapping, abduction | Group A - Person | AI | HPD_NIBRS_AI_100_CNT_202011A | Forcible rape | Group A - Person | AI | HPD_NIBRS_AI_11A_CNT_202011B | Forcible sodomy | Group A - Person | AI | HPD_NIBRS_AI_11B_CNT_202011C | Sexual assault with an object | Group A - Person | AI | HPD_NIBRS_AI_11C_CNT_202011D | Forcible fondling | Group A - Person | AI | HPD_NIBRS_AI_11D_CNT_2020120 | Robbery | Group A - Property | AP | HPD_NIBRS_AP_120_CNT_202013A | Aggravated Assault | Group A - Person | AI | HPD_NIBRS_AI_13A_CNT_202013B | Simple assault | Group A - Person | AI | HPD_NIBRS_AI_13B_CNT_202013C | Intimidation | Group A - Person | AI | HPD_NIBRS_AI_13C_CNT_2020200 | Arson | Group A - Property | AP | HPD_NIBRS_AP_200_CNT_2020210 | Extortion, Blackmail | Group A - Property | AP | HPD_NIBRS_AP_210_CNT_2020220 | Burglary, Breaking and Entering | Group A - Property | AP | HPD_NIBRS_AP_220_CNT_202023A | Pocket-picking | Group A - Property | AP | HPD_NIBRS_AP_23A_CNT_202023B | Purse-snatching | Group A - Property | AP | HPD_NIBRS_AP_23B_CNT_202023C | Shoplifting | Group A - Property | AP | HPD_NIBRS_AP_23C_CNT_202023D | Theft from building | Group A - Property | AP | HPD_NIBRS_AP_23D_CNT_202023E | From coin-operated machine or device | Group A - Property | AP | HPD_NIBRS_AP_23E_CNT_202023F | Theft from motor vehicle | Group A - Property | AP | HPD_NIBRS_AP_23F_CNT_202023G | Theft of motor vehicle parts or accessory | Group A - Property | AP | HPD_NIBRS_AP_23G_CNT_202023H | All other larceny | Group A - Property | AP | HPD_NIBRS_AP_23H_CNT_2020240 | Motor vehicle theft | Group A - Property | AP | HPD_NIBRS_AP_240_CNT_2020250 | Counterfeiting, forgery | Group A - Property | AP | HPD_NIBRS_AP_250_CNT_202026A | False pretenses, swindle | Group A - Property | AP | HPD_NIBRS_AP_26A_CNT_202026B | Credit card, ATM fraud | Group A - Property | AP | HPD_NIBRS_AP_26B_CNT_202026C | Impersonation | Group A - Property | AP | HPD_NIBRS_AP_26C_CNT_202026D | Welfare fraud | Group A - Property | AP | HPD_NIBRS_AP_26D_CNT_202026E | Wire fraud | Group A - Property | AP | HPD_NIBRS_AP_26E_CNT_202026F | Identify theft | Group A - Property | AP | HPD_NIBRS_AP_26F_CNT_202026G | Hacking/Computer Invasion | Group A - Property | AP | HPD_NIBRS_AP_26G_CNT_2020270 | Embezzlement | Group A - Property | AP | HPD_NIBRS_AP_270_CNT_2020280 | Stolen property offenses | Group A - Property | AP | HPD_NIBRS_AP_280_CNT_2020290 | Destruction, damage, vandalism | Group A - Property | AP | HPD_NIBRS_AP_290_CNT_202035A | Drug, narcotic violations | Group A - Society | AS | HPD_NIBRS_AS_35A_CNT_202035B | Drug equipment violations | Group A - Society | AS | HPD_NIBRS_AS_35B_CNT_202036A | Incest | Group A - Person | AI | HPD_NIBRS_AI_36A_CNT_202036B | Statutory rape | Group A - Person | AI | HPD_NIBRS_AI_36B_CNT_2020370 | Pornographs, obscene material | Group A - Society | AS | HPD_NIBRS_AS_370_CNT_202039A | Betting/wagering | Group A - Society | AS | HPD_NIBRS_AS_39A_CNT_202039B | Promoting gambling | Group A - Society | AS | HPD_NIBRS_AS_39B_CNT_202039C | Gambling equipment violations | Group A - Society | AS | HPD_NIBRS_AS_39C_CNT_202040A | Prostitution | Group A - Society | AS | HPD_NIBRS_AS_40A_CNT_202040B | Assisting or promoting prostitution | Group A - Society | AS | HPD_NIBRS_AS_40B_CNT_202040C | Purchasing prostitution | Group A - Society | AS | HPD_NIBRS_AS_40C_CNT_2020510 | Bribery | Group A - Property | AP | HPD_NIBRS_AP_510_CNT_2020520 | Weapon law violations | Group A - Society | AS | HPD_NIBRS_AS_520_CNT_202064A | Human Trafficking/Commercial Sex Act | Group A - Person | AI | HPD_NIBRS_AI_64A_CNT_202064B | Human Trafficking/Involuntary Servitude | Group A - Person | AI | HPD_NIBRS_AI_64B_CNT_2020720 | Animal Cruelty | Group A - Society | AS | HPD_NIBRS_AS_720_CNT_202090A | Bad checks | Group B | B | HPD_NIBRS_B_90A_CNT_202090B | Curfew, loitering, vagrancy violations | Group B | B | HPD_NIBRS_B_90B_CNT_202090C | Disorderly conduct | Group B | B | HPD_NIBRS_B_90C_CNT_202090D | Driving under the influence | Group B | B | HPD_NIBRS_B_90D_CNT_202090E | Drunkenness | Group B | B | HPD_NIBRS_B_90E_CNT_202090F | Family offenses, no violence | Group B | B | HPD_NIBRS_B_90F_CNT_202090G | Liquor law violations | Group B | B | HPD_NIBRS_B_90G_CNT_202090H | Peeping tom | Group B | B | HPD_NIBRS_B_90H_CNT_202090I | Runaway | Group B | B | HPD_NIBRS_B_90I_CNT_202090J | Trespass of real property | Group B | B | HPD_NIBRS_B_90J_CNT_202090Z | All other offenses | Group B | B | HPD_NIBRS_B_90Z_CNT_2020
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for South Houston Police Department (City) in Texas, including incidents, statistics, demographics, and detailed incident information.
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Combined Violent and Property Crime Offenses Known to Law Enforcement in Houston County, TX was 86.00000 Known Incidents in January of 2021, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Houston County, TX reached a record high of 223.00000 in January of 2010 and a record low of 86.00000 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Houston County, TX - last updated from the United States Federal Reserve on November of 2025.
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Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Houston County, GA (DISCONTINUED) (FBITC013153) from 2005 to 2018 about Houston County, GA; Warner Robins; crime; violent crime; property crime; GA; and USA.
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TwitterThis hosted feature layer contains five HPD NIBRS crime yearly cases from 2020 to 2024. This GIS dataset is based on NIBRS data published by Houston Police Department (HPD). The original source data can be found on HPD's Monthly Crime Data By Street And Police Beat webpage "https://www.houstontx.gov/police/cs/Monthly_Crime_Data_by_Street_and_Police_Beat.htm"This GIS dataset was processed and published by Houston Information Technology Services (HITS). National Incident-Based Reporting System (NIBRS) is an incident-based reporting system used by law enforcement agencies in the United States for collecting and reporting data on crimes. Local, state and federal agencies generate NIBRS data from their records management systems. Data is collected on every incident and arrest in the Group A offense category. These Group A offenses include 52 NIBRS classes in three main categories (Person, Property, and Society.) Specific facts about these offenses are gathered and reported to NIBRS. In addition to the Group A offenses, 10 Group B offenses are reported with only the arrest information. Disclaimer: This GIS dataset is prepared and made available for general reference purposes only and should not be used, or relied upon for specific applications, without independent verification. The City of Houston neither represents, nor warrants COHGIS data accuracy, or completeness, nor will the City of Houston accept liability of any kind in conjunction with its use. COHGIS information is in the public domain and may be copied without permission; citation of the source is appreciated.
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TwitterFinancial overview and grant giving statistics of Crime Stoppers of Houston Inc.
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Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Montgomery County, TX (DISCONTINUED) (FBITC048339) from 2004 to 2021 about Montgomery County, TX; crime; violent crime; property crime; Houston; TX; and USA.
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TwitterNational Incident-Based Reporting System (NIBRS) is an incident-based reporting system used by law enforcement agencies in the United States for collecting and reporting data on crimes. Local, state and federal agencies generate NIBRS data from their records management systems. Data is collected on every incident and arrest in the Group A offense category. These Group A offenses are 52 offenses grouped in 23 crime categories. Specific facts about these offenses are gathered and reported to NIBRS. In addition to the Group A offenses, 10 Group B offenses are reported with only the arrest information. This GIS dataset includes yearly Houston Police Department NIBRS crime reports. This GIS dataset is based on NIBRS data published by Houston Police Department (HPD). The original source data can be found on HPD's Monthly Crime Data By Street And Police Beat webpage "https://www.houstontx.gov/police/cs/Monthly_Crime_Data_by_Street_and_Police_Beat.htm"This GIS dataset was processed and published by Houston Information Technology Services (HITS). Disclaimer: This GIS dataset is prepared and made available for general reference purposes only and should not be used, or relied upon for specific applications, without independent verification. The City of Houston neither represents, nor warrants COHGIS data accuracy, or completeness, nor will the City of Houston accept liability of any kind in conjunction with its use. COHGIS information is in the public domain and may be copied without permission; citation of the source is appreciated.
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Multiple datasets related to Houston Police Department Crime Stats