About the traffic data
This page provides general information about the traffic data and measures developed by the Minnesota Environmental Public Health Tracking (MN EPHT) Program. For more information about these data, contact MNPH Data Access.
- The number and percent of Minnesota residents living within 300 meters (m) of busy roads.
- How traffic exposures differ between areas with different poverty rates.
- Residential proximity indicators can be used to estimate and compare traffic exposure across communities.
- These traffic and poverty data are ecologic, meaning that they represent the average estimated exposure for the total number of residents in given area. These data are not estimates of individual residents’ poverty or income level or traffic exposures.
- Traffic indicators cannot tell us:
- How much or what type of air pollutants people living near busy roads may be exposed to.
- About local traffic composition or patterns. For example, these data cannot tell us whether local traffic in one area has more or less high-emitting heavy trucks or diesel vehicles, or whether local roads have many signaled intersections where vehicles may be idling.
- Roadway and traffic data are from the MN Department of Transportation Traffic Forecasting & Analysis traffic volume data (1999-2014).
- Population and poverty data are from US Census Bureau American Community Survey 2010-2014 5-year tract-level estimates, via American Fact Finder. Data are calculated for 2010 census tract geography.
The number and percent of area residents are calculated using traffic volume and population data. These methods were developed by a workgroup of the Council of State and Territorial Epidemiologists.
- Traffic volume is represented as the Annualized Average Daily Traffic (AADT) on roadway segments. AADT estimates use MN DoT traffic counts and modeled values to calculate an average daily count. Because roadways contain many segments, the AADT can change between different segments of a given roadway.
- Busy roads are defined as segments with AADT > 10,000.
- Buffer areas covering 300 m on either side of each busy road segment are used to estimate traffic exposure. For each census block group area – smaller than census tracts, which typically have 600 to 3,000 people – the area within the buffer is divided by the total area to calculate the percent area near busy roads.
- The total block group population is multiplied by the percent area near busy roads to calculate the number of residents living near busy roads. The number of people living near busy roads is divided by the total block group population to calculate the percent of residents living near busy roads.
- Block group-level number of residents living near busy roads and total population are summed to census tract, zip code and county areas to calculate traffic exposure estimates at multiple geographic units.
- Where block groups overlap multiple tracts, zip codes or counties, the block group is assigned the geographic unit containing its centroid.
- Poverty categories are calculated based on the percent of census tract residents living below the Federal Poverty Line (FPL). Learn more about other poverty indicators on these pages and how the U.S. Census Bureau defines poverty: About the poverty & income data.
- Standard poverty categories were developed by the Public Health Disparities Geocoding Project for examining area-based socioeconomic disparities. These findings are based on empirical evidence and have been widely applied in public health disparities analyses.
- Poverty categories: 0-4.9%, 5-9.9%, 10-19.9%, and ≥ 20%.
- The county and zip code assigned to each census tract represent the primary county and zip code. Some census tracts may extend into another county or zip code.
- Our method for estimating traffic exposure assumes that population is spread uniformly across block group areas. Because this method uses the percent of block group area falling within 300 m of busy roads to estimate the number and percent of people living within 300 m of busy roads, there is some error in these estimates.
- Detailed guides for calculating traffic indicators are available through the Council of State and Territorial Epidemiologists.
- More information on methods for traffic counting and calculating traffic volume are available through the MN Department of Transportation.
- More information on standardized poverty categories for examining socioeconomic disparities is available through the Public Health Disparities Geocoding Project and the Council of State and Territorial Epidemiologists.
- For more information about the traffic exposure data or poverty categories, contact email@example.com.