This metric shows the registered voters in a certain area. The percentage is calculated by dividing the number of active registered voters in a given year by the number of eligible voters (citizens aged 18 and older). Note: This metric only contains data from 2020 and 2022.

DISCLAIMER: Some Census tracts show greater than 100% registration when voter registrations are more than the Census estimate of the population for that tract.

This statistic shows exposure to violent crime in a given area. The statistic was calculated by dividing the number of violent crimes in a given area by the square miles in the same area. Violent crime is defined using the Uniform Crime Classification Standard by the Criminal Justice Administrative Records System (CJARS).

This index measures financial resilience, which combines six metrics (listed in source details) on a scale of 0-6. A high score (6) indicates a high level of financial resilience. Note: Data is not graphed due to lack of County-level data.

Our reference value was created by finding the values that stand out from the median for each metric comprised in the index. For each measure of financial resiliency, we identified whether the geographic area was higher than the reference value. If it was, the geographic area was assigned a 1 for that measure. For the two measures that are negative indicators (cost burden of homeowners and renters, uninsured), we assigned a 1 for the geographic areas that were not lower than the reference value. Then we added all the 1s to get the final index score. The calculation for each metric is made for each year, then the index calculation is made. We weighted each measure equally.

Caveat: Data is missing from 2019-2022 for zip code 74117 and from 2021-2022 for zip code 74171 on cost burden of homeowners and renters. The overall index score will be affected for those years and zip codes since they do not include a score for cost burden.

This statistic shows the housing density for a given geographic area. Density was calculated by dividing the number of housing units in a geographic area by square miles within the same geographic area.

Note: Historical tract and zip code level data are only available for 2023 and 2024 due to limitations with the data.

This statistic shows the employment density for a given geographic area. The density was calculated by dividing the total number of jobs for a given geographic area by the number of square miles in the same area.