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                                    Data Tools

 7. Complete Multiyear Arrest Records for Los Angeles, New York City, and Washington, DC


                                     Charles Murray

                               American Enterprise Institute

                                        June 2023


Samuel Johnson famously said that a man who is tired of London is tired of life. I feel analogously
about the dataset for Data Tools #7. If you are a quantitative social policy analyst and cannot think
of good questions to ask about this dataset, you need a new career.
       The database, LawanyArrests.csv, contains the complete arrest records for arguably the
three most important cities in America: Los Angeles, New York, and Washington, DC. The arrest
data go back to 2013 for Washington, 2010  for Los Angeles, and 2006 for New  York. They
continue through calendar year 2022. In all, LawanyArrests.csv contains records on 7,122,725
arrests, including for 21,624 murders, 20,519 rapes, 215,378 robberies, 358,801 aggravated
assaults, and 113,777 burglaries.
       LawanyArrests.csv contains variables coded so they are comparable across the three cities
and across years, including not just the arrest date and offense category but also the latitude and
longitude of the offense and the arrestee's age, sex, and race. LawanyArrests.csv also contains
variables with the original police characterizations of the arrests and the charges brought. Two
variables that I created enable you to analyze arrests for the eight FBI index offenses and 40 other
offense categories across the three cities.
       Are you asking whether broken windows policing has changed over time? Several of the
categories correspond to classic broken-windows offenses (e.g., Graffiti/Deface Property and
Damage/Destroy  Property). Do you want to test                     that the sudden rise in
African American  deaths in traffic accidents after summer 2020 resulted from increased police
unwillingness to pull over blacks for reckless driving? You can examine racial patterns of arrests

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