The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the Maryland State Police's annual Uniform Crime Reports.

This dataset provides comprehensive data on violent and property crimes in Maryland counties from 1975 to the present. It includes various crime metrics such as murder, rape, robbery, aggravated assault, burglary, larceny theft, motor vehicle theft, and more.

Columns Information

JURISDICTION

• Description: County name in Maryland.
• Data Type: String

YEAR

• Description: Year of the data.
• Data Type: Integer

POPULATION

• Description: Population of the county.
• Data Type: Integer

MURDER

• Description: Number of murders.
• Data Type: Integer

RAPE

• Description: Number of rapes.
• Data Type: Integer

ROBBERY

• Description: Number of robberies.
• Data Type: Integer

AGG. ASSAULT

• Description: Number of aggravated assaults.
• Data Type: Integer

B & E

• Description: Number of burglaries (breaking and entering).
• Data Type: Integer

LARCENY THEFT

• Description: Number of larceny thefts.
• Data Type: Integer

M/V THEFT

• Description: Number of motor vehicle thefts.
• Data Type: Integer

GRAND TOTAL

• Description: Total number of crimes.
• Data Type: Integer

PERCENT CHANGE

• Description: Percent change in total crimes from the previous year.
• Data Type: Float

VIOLENT CRIME TOTAL

• Description: Total number of violent crimes.
• Data Type: Integer

VIOLENT CRIME PERCENT

• Description: Percent of violent crimes out of total crimes.
• Data Type: Float

VIOLENT CRIME PERCENT CHANGE

• Description: Percent change in violent crimes from the previous year.
• Data Type: Float

PROPERTY CRIME TOTALS

• Description: Total number of property crimes.
• Data Type: Integer

PROPERTY CRIME PERCENT

• Description: Percent of property crimes out of total crimes.
• Data Type: Float

PROPERTY CRIME PERCENT CHANGE

• Description: Percent change in property crimes from the previous year.
• Data Type: Float

OVERALL CRIME RATE PER 100,000 PEOPLE

• Description: Crime rate per 100,000 people.
• Data Type: Float

OVERALL PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in crime rate per 100,000 people from the previous year.
• Data Type: Float

VIOLENT CRIME RATE PER 100,000 PEOPLE

• Description: Violent crime rate per 100,000 people.
• Data Type: Float

VIOLENT CRIME RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in violent crime rate per 100,000 people from the previous year.
• Data Type: Float

PROPERTY CRIME RATE PER 100,000 PEOPLE

• Description: Property crime rate per 100,000 people.
• Data Type: Float

PROPERTY CRIME RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in property crime rate per 100,000 people from the previous year.
• Data Type: Float

MURDER PER 100,000 PEOPLE

• Description: Murder rate per 100,000 people.
• Data Type: Float

RAPE PER 100,000 PEOPLE

• Description: Rape rate per 100,000 people.
• Data Type: Float

ROBBERY PER 100,000 PEOPLE

• Description: Robbery rate per 100,000 people.
• Data Type: Float

AGG. ASSAULT PER 100,000 PEOPLE

• Description: Aggravated assault rate per 100,000 people.
• Data Type: Float

B & E PER 100,000 PEOPLE

• Description: Burglary (breaking and entering) rate per 100,000 people.
• Data Type: Float

LARCENY THEFT PER 100,000 PEOPLE

• Description: Larceny theft rate per 100,000 people.
• Data Type: Float

M/V THEFT PER 100,000 PEOPLE

• Description: Motor vehicle theft rate per 100,000 people.
• Data Type: Float

MURDER RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in murder rate per 100,000 people from the previous year.
• Data Type: Float

RAPE RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in rape rate per 100,000 people from the previous year.
• Data Type: Float

ROBBERY RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in robbery rate per 100,000 people from the previous year.
• Data Type: Float

AGG. ASSAULT RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in aggravated assault rate per 100,000 people from the previous year.
• Data Type: Float

B & E RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in burglary (breaking and entering) rate per 100,000 people from the previous year.
• Data Type: Float

LARCENY THEFT RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in larceny theft rate per 100,000 people from the previous year.
• Data Type: Float

M/V THEFT RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in motor vehicle t...

Historical crime rates per 100,000 people, 1975 - present. In June 2017 we changed the update frequency of this dataset from annual to as-needed because sometimes there is a lag that is often 6 months after the annual date before the new data is available.

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.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Baltimore County County Sheriff's Office (County) in Maryland, including incidents, statistics, demographics, and detailed incident information.

Financial overview and grant giving statistics of Maryland Crime Victims Resourcefoundation Inc

Maryland, Newham property and local residence statistical data. View in-depth data for Maryland & surrounding areas.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for University of Maryland: College Park (University or College) in Maryland, including incidents, statistics, demographics, and detailed incident information.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Howard County, MD was 4816.00000 Known Incidents in January of 2019, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Howard County, MD reached a record high of 8908.00000 in January of 2008 and a record low of 4816.00000 in January of 2019. 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 Howard County, MD - last updated from the United States Federal Reserve on November of 2025.

Newham 012d, Newham full crime rankings and individual crime statistics updated monthly. See how safe Newham 012d, Newham is as well as all recent crimes.

Newham 009d, Newham full crime rankings and individual crime statistics updated monthly. See how safe Newham 009d, Newham is as well as all recent crimes.

This study examined the effects of police arrest policies and incarceration policies on communities in 30 neighborhoods in Baltimore. Specifically, the study addressed the question of whether aggressive arrest and incarceration policies negatively impacted social organization and thereby reduced the willingness of area residents to engage in informal social control, or collective efficacy. CRIME CHANGES IN BALTIMORE, 1970-1994 (ICPSR 2352) provided aggregate community-level data on demographics, socioeconomic attributes, and crime rates as well as data from interviews with residents about community attachment, cohesiveness, participation, satisfaction, and experiences with crime and self-protection. Incident-level offense and arrest data for 1987 and 1992 were obtained from the Baltimore Police Department. The Maryland Department of Public Safety and Corrections provided data on all of the admissions to and releases from prisons in neighborhoods in Baltimore City and Baltimore County for 1987, 1992, and 1994.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Allegany County, MD was 97.00000 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 Allegany County, MD reached a record high of 426.00000 in January of 2015 and a record low of 0.00000 in January of 2010. 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 Allegany County, MD - last updated from the United States Federal Reserve on November of 2025.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Garrett County, MD was 137.00000 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 Garrett County, MD reached a record high of 432.00000 in January of 2013 and a record low of 137.00000 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 Garrett County, MD - last updated from the United States Federal Reserve on November of 2025.

This data publication includes data from a study in Baltimore, MD to examine how removing vacant buildings affects violent and property crimes. This study includes data from in 2014-2019. Housing data were obtained from the Baltimore City Department of Housing and Community Development, data from reported crimes were obtained from the Baltimore City Police Department via OpenData Baltimore, and demographics were obtained from the American Community Survey (ACS) - U.S. Census Bureau. Data include 775 block faces (which is the area between two street intersections, including the space around the street between buildings facing each other) that had building removals (treatment) as well as 524 block faces that did not have any building removals (control). This package includes the location of the treated block face segments as well as the centroids of all treated and control block faces as both shapefiles and geopackages. Controls were randomly assigned to treated block faces. After removing spatially near candidates, there were more treated units than controls, and we randomly assigned 251 controls a second time to treated block faces; all treated units had a matched pair control and associated treated-control identifier. Also included are the annual tabular data for each block face which include data such as average crime rate, number of deconstructions/demolitions, whether or not a violence initiative was put in place for that area, information regarding possible transformation zones, police district details, and demographic data. In order to see if the results were sensitive to the treatment/control matching, we applied a second random matching procedure to re-match treatment and control block faces. All treated units had a matched pair control and associated treated-control identifier called "subclass," hence the two tabular data files contain the same data with the exception of the subclass variable which provides that random match for both matching procedures. The R code used to run these analyses is also provided as an *.Rmd file.The purpose of this study was to evaluate whether or not vacant building removals (either demolitions and/or deconstructions) in Baltimore, MD had a demonstrable reduction on various types of crime via a quasi-experimental difference-in-differences (DID) analysis.For more information about this study and these data, see Locke et al. (2023).

These data were published on 06/22/2023. Metadata updated to include reference to newly published article on 08/02/2023.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Baltimore County, MD was 17392.00000 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 Baltimore County, MD reached a record high of 32608.00000 in January of 2004 and a record low of 0.00000 in January of 2013. 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 Baltimore County, MD - last updated from the United States Federal Reserve on November of 2025.

This dataset tracks the cumulative statewide reductions in violent crime since 2006. Data are reported each year by MSAC, the Maryland Statistical Analysis Center, within GOCCP, the Governor's Office of Crime Control and Prevention.

The Baltimore Regional Housing Partnership (BRHP) operates the Baltimore Housing Mobility Program (BHMP) in Baltimore City and the five metropolitan counties of Anne Arundel, Baltimore, Carroll, Harford and Howard. The Baltimore Housing Mobility Program encourages families to lease in "Opportunity Areas", which provide opportunities for our families to access areas with good schools, goods and services, low crime rates, and low poverty concentrations. http://www.brhp.org/landlords/development_information_page. The case of Thompson v. HUD. The following link provides information on census tracts designated as Communities of Opportunity in the Thompson case: http://www.brhp.orghttp://dhcd.maryland.gov/HousingDevelopment/Documents/lihtc/Final%202016%20MD%20QAP%20Signed%20by%20Governor%208-9-16.pdf.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Kent County, MD was 99.00000 Known Incidents in January of 2019, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Kent County, MD reached a record high of 184.00000 in January of 2008 and a record low of 59.00000 in January of 2018. 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 Kent County, MD - last updated from the United States Federal Reserve on November of 2025.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for University of Maryland: Eastern Shore (University or College) in Maryland, including incidents, statistics, demographics, and detailed incident information.