These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed. This study was a systematic assessment of the impacts of foreclosures and crime levels on each other, using sophisticated spatial analysis methods, informed by qualitative research on the topic. Using data on foreclosures and crime in District of Columbia and Miami-Dade County, Florida from 2003 to 2011, this study considered the effects of the two phenomena on each other through a dynamic systems approach.
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Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami-Dade County, FL was 33003.00000 Known Incidents in January of 2020, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami-Dade County, FL reached a record high of 64027.00000 in January of 2004 and a record low of 33003.00000 in January of 2020. 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 Miami-Dade County, FL - last updated from the United States Federal Reserve on June of 2025.
Financial overview and grant giving statistics of Crime Stoppers of Miami-Dade County Inc.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Traditionally, criminal research on a national scale has relied primarily on the FBI's Uniform Crime Reports (UCR), a tool with several weaknesses: (1) it contains no unique personal identifiers, precluding analysis of re-offense rates, (2) it lacks detail about individual crimes and their outcomes (e.g., number of charges, plea bargains, dispositions, fines, jail sentences), (3) reporting to the UCR is highly variable, so the aggregate statistics cannot be read as a comprehensive picture of crime. An alternative approach to crime record analysis can be pursued by the study of individual court records, housed in hundreds of counties across the United States. However, each jurisdiction employs local laws and sparse, idiosyncratic information management systems, making it prohibitively difficult to compare detailed crime records across time and place.To overcome all these limitations, we have developed the NeuLaw Criminal Record Database (CRD), a rich and growing collection of tens of millions of crime records. The CRD provides an unprecedented level of detail about individual offenders, their crimes, and their interactions with the criminal justice system; additionally, it translates court records into a common framework for cross-jurisdiction comparison. In particular, the database includes anonymized identifiers to enable large-scale exploration of criminal re-offense (recidivism). The CRD is growing monthly; as of this writing it contains 22.5 million records from 1977 to 2014 from Harris County in Texas, New York City, Miami-Dade County in Florida, and the state of New Mexico. The database can enable or enhance many types of research—for example, identification of high-risk offenders, measurement of changes in policing strategies, and quantification of legislative efficacy—thus giving policy makers the best data upon which to base law enforcement decisions.
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These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed. This study was a systematic assessment of the impacts of foreclosures and crime levels on each other, using sophisticated spatial analysis methods, informed by qualitative research on the topic. Using data on foreclosures and crime in District of Columbia and Miami-Dade County, Florida from 2003 to 2011, this study considered the effects of the two phenomena on each other through a dynamic systems approach.