placestats

Aggregate travel time to work

The total minutes all commuters together spend getting to work in a day.

Reported for3,208areas, in 52 states
Link to density0.85mostly reflects how urban a place is
Nearby places alike0.34Moran’s I: strongly, neighbouring places tend to be similar
Typecountcounts rise and fall together from size alone

How it has moved

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Every state, every year

One row per state and one column per year, sorted by the latest value. It shows states, not counties: nobody can scan 3,222 rows, and the pattern only shows when it all fits on one screen.

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Where it comes from

Census ACS 5-year · ACS table B08013_001

A total of everyone's minutes, so it can be added up across areas. The average commute is this total divided by the number of workers, worked out again for each combined area.

Combining areas: added up across areas.

What it goes with

The strongest links that have a page of their own. Unadjusted is the link before adjusting for anything, from −1 (opposite) to +1 (in step). Adjusted compares places with the same population density, income and education levels, so those differences can’t explain the link. This list leaves out the 49 pairs built from the same numbers or the same model as this measure, since they are bound to match.

MeasureUnadjustedAdjusted
Aggregate travel time to work and Share foreign-bornWhere Aggregate travel time to work is higher, Share foreign-born tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share foreign-born by US county+0.50+0.40
Aggregate travel time to work and Share Asian, not HispanicWhere Aggregate travel time to work is higher, Share Asian, not Hispanic tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share Asian, not Hispanic by US county+0.46+0.31
Aggregate travel time to work and Local income tax as a share of incomeLinked across counties, but mostly as both follow how urban, rich and educated a place is. Comparing only places with similar density, income and education, a weak link of +0.18 remains. Local income tax as a share of income by US county+0.50+0.18

Population makeup

How this measure varies with the racial and ethnic makeup of counties. Every group is shown, whatever its rank. These are links across counties: they describe places, not people. They say nothing about any person’s risk or behaviour based on their race. Counties with a larger share of one group also differ in much else, such as income, segregation, region and history. The adjusted figure only accounts for density, income and education.

Share of residentsUnadjustedAdjusted
Aggregate travel time to work and Share White, not HispanicWhere Aggregate travel time to work is higher, Share White, not Hispanic tends to be lower: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share White, not Hispanic by US county-0.24-0.21
Aggregate travel time to work and Share Black, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share Black, not Hispanic by US county+0.03+0.05
Aggregate travel time to work and Share Hispanic or Latino, any raceWhere Aggregate travel time to work is higher, Share Hispanic or Latino, any race tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share Hispanic or Latino, any race by US county+0.11+0.11
Aggregate travel time to work and Share Asian, not HispanicWhere Aggregate travel time to work is higher, Share Asian, not Hispanic tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share Asian, not Hispanic by US county+0.46+0.31
Aggregate travel time to work and Share American Indian or Alaska Native, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share American Indian or Alaska Native, not Hispanic by US county-0.09+0.08

Highest and lowest, per 1,000 residents

Of 3,208 counties reporting it. This is a count, so it is ranked per 1,000 residents, not as published. Ranked by raw totals, it would just list the largest counties in the country. Its link to population is 0.85, so the raw order would match almost every other count here. The published totals are in the table on each place page.

Highest

  1. Manassas Park city, VA — 19,794 (334,980 total)
  2. Charles County, MD — 18,886 (3,186,300 total)
  3. Cumberland County, VA — 18,687 (182,100 total)
  4. Surry County, VA — 18,532 (121,420 total)
  5. Queens County, NY — 18,045 (42,048,000 total)

Lowest

  1. Kusilvak Census Area, AK — 1561.56 (12,925 total)
  2. Northwest Arctic Borough, AK — 1890.03 (14,385 total)
  3. Nome Census Area, AK — 1976.83 (19,620 total)
  4. Bethel Census Area, AK — 2397.09 (44,315 total)
  5. Jackson County, SD — 2484.08 (7,020 total)

The middle area reports 9544.86. The middle half of counties falls between 8202.62 and 10,940 (the 25th to 75th percentile).

All measures · Explore its pairs · How the US county data works