open data flint

Open Data Flint serves as a central location for housing Flint-based data gathered from academic institutions, local organizations, and federal agencies to encourage a healthier and informed community. The data are made available to researchers, policy makers, general public, and others interested in Flint.

Popular Datasets

Uniform Crime Reporting Program Data [United States]: County-Level Detailed Arrest and Offense Data, 2004 (ICPSR 4466)

This data collection contains county-level counts of arrests and offenses for Part I offenses (murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, and arson) and counts of arrests for Part II offenses (forgery, fraud, embezzlement, vandalism, weapons violations, sex offenses, drug and alcohol abuse violations, gambling, vagrancy, curfew violations, and runaways).

Downloads: 4,323

State of Michigan: Taking Action on Flint Water Test Results, 2015-2017 (ICPSR 36955)

The data were downloaded from the State of Michigan Taking Action on Flint Water website. This website contains testing results for blood levels, sentinel sites, residential sites, schools, establishment sites, and Confirming Lead Elimination After Replacement (CLEAR) sites. For this study, the sentinel testing, school testing, and establishment testing results were used.

Downloads: 833

Adult Criminal Careers, Michigan: 1974-1977 (ICPSR 8279)

These data, taken from the computerized criminal history files of the Federal Bureau of Investigation, were collected to develop estimates of the extent and variation of individual offending. Included are the adult criminal records of individuals 17 years of age and older arrested in Michigan from 1974 to 1977. The primary criterion for inclusion in the sample was at least one arrest in Michigan for murder, rape, robbery, aggravated assault, burglary, or auto theft. Once sampled, the arrest history includes data on all recorded arrests through 1977, regardless of offense type. The full dataset includes records for 41,191 individuals for a total of 200,007 arrests. The dataset is organized by individual and includes demographic characteristics of the individual (birth date, state of birth, sex, and race) followed by information from the individual's arrest record in chronological order. The arrest records include the date of arrest, the offenses charged, the disposition (convicted, dismissed, or acquitted), and the sentence. Because the data are organized by individual, they are suitable for longitudinal analyses of individual offending patterns over time.

Downloads: 162