Mean travel time to work and Share divorced
Counting counties equally, Mean travel time to work and Share divorced have a link of +0.07 across 3,168 counties, on a scale from −1 to +1. Giving bigger places more weight asks about the average resident rather than the average place, and it flips the link to -0.12. Neither figure is likely to be chance. So this is a real disagreement about who is being described.
Flips when bigger places count more
Every place, plotted
One dot for each place reporting both measures. Hover over or tap a dot to see its name and values. The thin line is the straight line that best fits the dots. The bold line, shown for counties, is the link after adjusting for density, income and education. A dot far from the lines is a place that does not follow the pattern.
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What each measure is
Mean travel time to work
The average one-way trip to work, in minutes, for people who commute. People who work from home are left out, not counted as zero.
Census ACS 5-year · ACS table B08013_001, divided by workers aged 16 and over who commute
Share divorced
The percentage of people aged 15 and over who are divorced and have not remarried. It counts who is divorced now, not how many divorces happen. A county where many marriages end but people quickly remarry can show a low figure.
Census ACS 5-year · ACS table B12001_010…B12001_019 (2 cells), divided by population aged 15 and over
Highest and lowest
Where each measure is highest and lowest among the places reporting both (2023), with the other measure beside it. This is shown for every size of place where both are published. Metro-area values are added up from their counties. A measure that cannot be added up across counties, such as a middle value (median), has no metro figure. Counts are shown per 1,000 residents, since raw totals would only list the largest places. Cities and towns and ZIP codes are shown where the Census survey or the CDC publishes them; most other sources stop at the county. They are shown for places of 5,000 residents or more, and only where the survey’s margin of error is small enough for the figure to be usable. The CDC publishes its health estimates for cities in a version adjusted for age, so places with older or younger people can be compared fairly, but not for ZIP codes.
Counties
By mean travel time to work
| Mean travel time to work | Share divorced | |
|---|---|---|
| Highest | ||
| Calhoun County, IL | 49.4 min | 11% |
| Mora County, NM | 47.1 min | 12.9% |
| Bronx County, NY | 43.9 min | 9.64% |
| Greene County, MS | 43.8 min | 15.8% |
| Pike County, PA | 43.6 min | 10% |
| Lowest | ||
| Skagway Municipality, AK | 5.02 min | 12.4% |
| Aleutians East Borough, AK | 5.46 min | 10.3% |
| Nome Census Area, AK | 5.8 min | 7.45% |
| Kusilvak Census Area, AK | 5.89 min | 3.62% |
| Northwest Arctic Borough, AK | 6.41 min | 6.74% |
By share divorced
| Mean travel time to work | Share divorced | |
|---|---|---|
| Highest | ||
| Camas County, ID | 39.8 min | 28% |
| Trinity County, CA | 26.6 min | 27.3% |
| Lincoln County, NV | 22.1 min | 22.6% |
| Barceloneta Municipio, PR | 28.6 min | 20.7% |
| Custer County, ID | 16.8 min | 20.7% |
| Lowest | ||
| Madison County, ID | 16.6 min | 2.17% |
| McCone County, MT | 20.4 min | 3.58% |
| Kusilvak Census Area, AK | 5.89 min | 3.62% |
| Hanson County, SD | 21.9 min | 3.74% |
| Sioux County, IA | 12.7 min | 4.44% |
States
By mean travel time to work
| Mean travel time to work | Share divorced | |
|---|---|---|
| Highest | ||
| New York | 32.8 min | 9% |
| Maryland | 31.5 min | 9.79% |
| New Jersey | 30.9 min | 8.66% |
| District of Columbia | 30.3 min | 8.54% |
| Massachusetts | 29.3 min | 9.34% |
| Lowest | ||
| South Dakota | 17.6 min | 10.6% |
| North Dakota | 18 min | 9.84% |
| Wyoming | 18.5 min | 12.3% |
| Nebraska | 19.1 min | 10.4% |
| Montana | 19.2 min | 12.5% |
By share divorced
| Mean travel time to work | Share divorced | |
|---|---|---|
| Highest | ||
| Puerto Rico | 28.2 min | 13.9% |
| Maine | 24.4 min | 13.4% |
| West Virginia | 26.6 min | 13.4% |
| New Mexico | 23.2 min | 13.3% |
| Nevada | 24.8 min | 13.3% |
| Lowest | ||
| District of Columbia | 30.3 min | 8.54% |
| New Jersey | 30.9 min | 8.66% |
| Utah | 22 min | 8.83% |
| New York | 32.8 min | 9% |
| California | 29 min | 9% |
Metro areas
By mean travel time to work
| Mean travel time to work | Share divorced | |
|---|---|---|
| Highest | ||
| Hemlock Farms, PA | 43.6 min | 10% |
| East Stroudsburg, PA | 39 min | 10.4% |
| Lake of the Woods, VA | 38.5 min | 8.52% |
| Shelton, WA | 36.4 min | 13.6% |
| New York-Newark-Jersey City, NY-NJ | 36 min | 8.13% |
| Lowest | ||
| Dodge City, KS | 12.9 min | 12.6% |
| Hays, KS | 13 min | 7.93% |
| Altus, OK | 13.3 min | 12.1% |
| Brookings, SD | 13.8 min | 6.52% |
| Pierre, SD | 13.9 min | 12.2% |
By share divorced
| Mean travel time to work | Share divorced | |
|---|---|---|
| Highest | ||
| Connersville, IN | 28 min | 19% |
| Madison, IN | 21.9 min | 17.8% |
| Brattleboro, VT | 22 min | 17.4% |
| Alpena, MI | 17.6 min | 17.4% |
| Sonora, CA | 31.2 min | 17.2% |
| Lowest | ||
| Rexburg, ID | 18.1 min | 3.64% |
| Nantucket, MA | 15.2 min | 5.29% |
| Provo-Orem-Lehi, UT | 22 min | 5.5% |
| Logan, UT-ID | 17.9 min | 5.85% |
| Brookings, SD | 13.8 min | 6.52% |
Cities and towns
By mean travel time to work
| Mean travel time to work | Share divorced | |
|---|---|---|
| Highest | ||
| Mountain House CDP, CA | 54.7 min | 4.1% |
| Los Banos city, CA | 52.2 min | 6.08% |
| Piñon Hills CDP, CA | 51.7 min | 9.98% |
| Lynwood village, IL | 51.7 min | 14.2% |
| Makaha CDP, HI | 49.5 min | 12% |
| Lowest | ||
| International Falls city, MN | 8.38 min | 16.9% |
| Alliance city, NE | 9.29 min | 12.4% |
| Fort Campbell North CDP, KY | 9.41 min | 3.66% |
| Kodiak city, AK | 9.46 min | 9.66% |
| Orange City city, IA | 9.62 min | 4.75% |
By share divorced
| Mean travel time to work | Share divorced | |
|---|---|---|
| Highest | ||
| Belpre city, OH | 21.1 min | 26.8% |
| Inverness city, FL | 23 min | 26% |
| Aurora city, MO | 19 min | 25.2% |
| Buena Vista CDP, MI | 22.4 min | 25.2% |
| Gladewater city, TX | 21.9 min | 24.8% |
| Lowest | ||
| Clemson University CDP, SC | 13.6 min | 0% |
| Rochester Institute of Technology CDP, NY | 12.1 min | 0% |
| Binghamton University CDP, NY | 13.2 min | 0% |
| Isla Vista CDP, CA | 15.8 min | 1.5% |
| Rexburg city, ID | 15.5 min | 1.84% |
ZIP codes
By mean travel time to work
| Mean travel time to work | Share divorced | |
|---|---|---|
| Highest | ||
| ZIP 18328 (Pike County, PA) | 55.4 min | 10.6% |
| ZIP 95391 (Alameda County, CA) | 54.7 min | 4.14% |
| ZIP 18324 (Pike County, PA) | 52.5 min | 9.45% |
| ZIP 76073 (Wise County, TX) | 52.1 min | 12.6% |
| ZIP 70744 (Livingston Parish, LA) | 51.6 min | 18% |
| Lowest | ||
| ZIP 38677 (University CDP, MS) | 7.33 min | 0% |
| ZIP 73503 (Comanche County, OK) | 9.2 min | 2.53% |
| ZIP 99559 (Bethel city, AK) | 9.51 min | 7.54% |
| ZIP 79406 (Lubbock city, TX) | 9.87 min | 0% |
| ZIP 28307 (Fayetteville city, NC) | 9.93 min | 4.41% |
By share divorced
| Mean travel time to work | Share divorced | |
|---|---|---|
| Highest | ||
| ZIP 33194 (Miami-Dade County, FL) | 38.1 min | 25.5% |
| ZIP 99201 (Spokane city, WA) | 19.4 min | 24.3% |
| ZIP 92637 (Laguna Woods city, CA) | 20.4 min | 23.9% |
| ZIP 41240 (Johnson County, KY) | 23.3 min | 23.2% |
| ZIP 66607 (Topeka city, KS) | 18.3 min | 22.9% |
| Lowest | ||
| ZIP 01003 (Amherst Town city, MA) | 12.7 min | 0% |
| ZIP 93410 (California Polytechnic State University CDP, CA) | 20 min | 0% |
| ZIP 79406 (Lubbock city, TX) | 9.87 min | 0% |
| ZIP 77843 (College Station city, TX) | 13.7 min | 0% |
| ZIP 55455 (Minneapolis city, MN) | 13 min | 0% |
Counties furthest from the pattern
Compared with the straight line that best fits all 3,181 counties: the five with far more share divorced than their mean travel time to work would suggest, and the five with far less.
| Mean travel time to work | Share divorced | |
|---|---|---|
| Above the line | ||
| Camas County, ID | 39.8 min | 28% |
| Trinity County, CA | 26.6 min | 27.3% |
| Lincoln County, NV | 22.1 min | 22.6% |
| Lemhi County, ID | 14.8 min | 20.7% |
| Custer County, ID | 16.8 min | 20.7% |
| Below the line | ||
| Madison County, ID | 16.6 min | 2.17% |
| McCone County, MT | 20.4 min | 3.58% |
| Hanson County, SD | 21.9 min | 3.74% |
| Kusilvak Census Area, AK | 5.89 min | 3.62% |
| Hansford County, TX | 22.6 min | 4.48% |
Two series, one county
Both measures over time for a county you pick. The two charts are stacked, so they share only the years along the bottom. You can pick from the thirty largest counties reporting both. This panel covers 2010–2024, and a measure published only once shows as a single dot.
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Every version of the link
Each row measures the same link, from −1 to +1, in a different way. If the rows mostly agree, the link does not depend on one choice of method.
| Before adjusting for anything | +0.094 | 3,168 counties reporting both |
| After adjusting for density, income and education | +0.075 | the part of the link that is not just how urban, rich and educated a place is |
| Also adjusting for population size | +0.078 | size taken out as well as density |
| Also comparing only within each state | +0.057 | each county is compared only with others in its own state, so this is no longer a comparison between states |
| Giving bigger counties more weight | -0.123 | the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 292 equally weighted counties |
| Middle value inside single states | +0.046 | the link worked out inside each of 41 states with at least 20 counties reporting |
| Using ranks, after adjusting | +0.014 | uses each county’s rank, not its value, so a few extreme counties cannot create the link |
How much to believe it
Could it be chance?
The p-value is the chance of seeing a link this strong if there were really none. A value of 0.05 or less means the link is unlikely to be chance. Very small values are written in short form: 3.1e-16 means 0.00000000000000031, and the bigger the number after “e-”, the smaller the value. Treating every county as a separate case gives p = 2.4e-5. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.036. The site tested 20,910 pairs, and testing so many turns up some flukes. The q-value allows for that too. For this pair it is 4.1e-5.
Do nearby places look alike?
Moran’s I measures how much nearby places look alike: 0 means no map pattern, and higher means neighbours are more similar. For the part of each county that the adjustment leaves unexplained, it is +0.27 (p = 0.001). That unexplained part still clusters on the map. So some regional factor shared by both measures is not accounted for.
Did they change together?
The figures above compare counties at one moment. This asks a different question: where mean travel time to work rose most, did share divorcedmove too? Each county’s change is compared with the average change in its own state. That takes out ups and downs that hit a whole region at once. Each change is the gap between two estimates that both contain some error. That error pulls these links towards zero, so a weak one is weak partly for that reason. The q column shows whether a link could be a fluke, allowing for the many pairs tested: 0.05 or less means it is unlikely to be chance.
| Period | Counties | Change together | Within states | q |
|---|---|---|---|---|
| 2014–2019 the main test: each Census survey figure averages five years, and these two do not overlap; before the pandemic | 3,186 | -0.02 | -0.01 | — |
| 2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years | 3,172 | -0.01 | -0.01 | — |
Both come from the American Community Survey, which asks a sample of households. Random error in a county's sample pushes both changes at once. So part of any agreement here is that shared error. It is shown, but not counted as a finding. How change is measured.
Related pairs
- Mean travel time to work and Safety score — -0.39
- Homeownership rate and Mean travel time to work — +0.37
- Mean travel time to work and Share with a bachelor's degree or higher — -0.35
- Mean travel time to work and Motor vehicle crash deaths — +0.34
- Median age and Share divorced — +0.32
- Mean travel time to work and Median age — +0.31
Association only. Nothing here shows that either measure changes the other. This describes counties, not the people in them. Two measures going together across places does not mean the same people have both. How the US county data works · Explore Mean travel time to work and Share divorced