Share of some other race, not Hispanic and Share widowed
Across 977 counties, Share of some other race, not Hispanic and Share widowed have a link of -0.50, on a scale from −1 (opposite) to +1 (in step). But compare places with the same population density, income and education, and what is left could easily be chance. Most of the first figure came from both measures following how urban, rich and educated a place is, not from a link with each other.
Mostly gone after adjusting
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
Share of some other race, not Hispanic
The percentage of residents who report some other race alone and are not Hispanic. It is small almost everywhere. It is included so the eight shares cover everyone, with nobody left over.
Census ACS 5-year · ACS table B03002_008, divided by total population
Share widowed
The percentage of people aged 15 and over whose spouse has died. It mostly follows how old the population is, so it is close to a second measure of a county's age.
Census ACS 5-year · ACS table B12001_009…B12001_018 (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 share of some other race, not Hispanic
| Share of some other race, not Hispanic | Share widowed | |
|---|---|---|
| Highest | ||
| Plymouth County, MA | 2.52% | 5.56% |
| Queens County, NY | 2.26% | 5.73% |
| Schenectady County, NY | 1.69% | 6.38% |
| Bristol County, MA | 1.63% | 5.79% |
| Essex County, NJ | 1.43% | 5.04% |
| Lowest | ||
| Saguache County, CO | 0% | 6.01% |
| Rio Blanco County, CO | 0% | 6.33% |
| Kiowa County, CO | 0% | 11.2% |
| Jackson County, CO | 0% | 5.2% |
| Crowley County, CO | 0% | 5.03% |
By share widowed
| Share of some other race, not Hispanic | Share widowed | |
|---|---|---|
| Highest | ||
| Terrell County, TX | 0% | 23.3% |
| Comanche County, KS | 0% | 17.8% |
| De Baca County, NM | 0% | 15.2% |
| Pulaski County, GA | 0% | 15.1% |
| Quitman County, GA | 0% | 14.6% |
| Lowest | ||
| King County, TX | 0% | 0% |
| Eureka County, NV | 0% | 0% |
| Utah County, UT | 0.275% | 2.54% |
| Arlington County, VA | 0.599% | 2.73% |
| Whitman County, WA | 0.982% | 2.97% |
States
By share of some other race, not Hispanic
| Share of some other race, not Hispanic | Share widowed | |
|---|---|---|
| Highest | ||
| Massachusetts | 1.15% | 5.1% |
| New York | 0.901% | 5.59% |
| Rhode Island | 0.773% | 5.73% |
| New Jersey | 0.751% | 5.55% |
| Connecticut | 0.728% | 5.37% |
| Lowest | ||
| Puerto Rico | 0.136% | 7.85% |
| North Dakota | 0.245% | 5.5% |
| Iowa | 0.248% | 5.8% |
| Arkansas | 0.257% | 6.86% |
| Kentucky | 0.263% | 6.63% |
By share widowed
| Share of some other race, not Hispanic | Share widowed | |
|---|---|---|
| Highest | ||
| West Virginia | 0.284% | 7.93% |
| Puerto Rico | 0.136% | 7.85% |
| Mississippi | 0.322% | 7.06% |
| Alabama | 0.307% | 6.88% |
| Arkansas | 0.257% | 6.86% |
| Lowest | ||
| District of Columbia | 0.64% | 3.41% |
| Utah | 0.361% | 3.51% |
| Alaska | 0.613% | 4.09% |
| Colorado | 0.449% | 4.11% |
| Washington | 0.546% | 4.61% |
Metro areas
By share of some other race, not Hispanic
| Share of some other race, not Hispanic | Share widowed | |
|---|---|---|
| Highest | ||
| East Stroudsburg, PA | 1.4% | 5.77% |
| Barnstable Town, MA | 1.25% | 7.35% |
| Cheyenne, WY | 1.23% | 5.2% |
| Kingston, NY | 1.23% | 6.29% |
| Providence-Warwick, RI-MA | 1.22% | 5.75% |
| Lowest | ||
| Zapata, TX | 0% | 9.53% |
| Weirton-Steubenville, WV-OH | 0% | 8.88% |
| Weatherford, OK | 0% | 6.36% |
| Victoria, TX | 0% | 6.19% |
| Vernon, TX | 0% | 9.51% |
By share widowed
| Share of some other race, not Hispanic | Share widowed | |
|---|---|---|
| Highest | ||
| Camden, AR | 0% | 10.3% |
| Zapata, TX | 0% | 9.53% |
| Vernon, TX | 0% | 9.51% |
| Lake Havasu City-Kingman, AZ | 0.266% | 9.41% |
| Paris, TN | 0% | 9.27% |
| Lowest | ||
| Provo-Orem-Lehi, UT | 0.27% | 2.56% |
| Pullman, WA | 0.982% | 2.97% |
| Jackson, WY-ID | 0% | 3.22% |
| Lawrence, KS | 0.511% | 3.35% |
| Austin-Round Rock-San Marcos, TX | 0.523% | 3.5% |
Cities and towns
By share of some other race, not Hispanic
| Share of some other race, not Hispanic | Share widowed | |
|---|---|---|
| Highest | ||
| Brockton city, MA | 6.8% | 4.13% |
| Framingham city, MA | 6.26% | 4.83% |
| New Bedford city, MA | 4.17% | 5.98% |
| Milford CDP, MA | 4.08% | 5.34% |
| Marlborough city, MA | 3.91% | 4.83% |
| Lowest | ||
| Terryville CDP, CT | 0% | 7.95% |
| Southwood Acres CDP, CT | 0% | 5.57% |
| Sandy Hook CDP, CT | 0% | 3.98% |
| Ridgefield CDP, CT | 0% | 7.05% |
| Pawcatuck CDP, CT | 0% | 4.13% |
By share widowed
| Share of some other race, not Hispanic | Share widowed | |
|---|---|---|
| Highest | ||
| The Meadows CDP, FL | 0% | 21% |
| Pompton Plains CDP, NJ | 0% | 17.9% |
| Zephyrhills West CDP, FL | 0% | 17.6% |
| Nazareth borough, PA | 0% | 16.9% |
| Zephyrhills South CDP, FL | 0% | 16.6% |
| Lowest | ||
| Fort Irwin CDP, CA | 0% | 0% |
| Camp Pendleton South CDP, CA | 0% | 0% |
| Lackland AFB CDP, TX | 0% | 0% |
| University at Buffalo CDP, NY | 0% | 0% |
| Binghamton University CDP, NY | 0% | 0% |
ZIP codes
By share of some other race, not Hispanic
| Share of some other race, not Hispanic | Share widowed | |
|---|---|---|
| Highest | ||
| ZIP 11419 (New York city, NY) | 19.7% | 5.28% |
| ZIP 11436 (New York city, NY) | 11.7% | 5.25% |
| ZIP 07105 (Newark city, NJ) | 8.66% | 2.89% |
| ZIP 01702 (Framingham city, MA) | 8.45% | 4.49% |
| ZIP 11420 (New York city, NY) | 8.4% | 4.57% |
| Lowest | ||
| ZIP 08867 (Hunterdon County, NJ) | 0% | 4.64% |
| ZIP 08833 (Hunterdon County, NJ) | 0% | 5.36% |
| ZIP 08826 (Hunterdon County, NJ) | 0% | 3.59% |
| ZIP 08758 (Ocean County, NJ) | 0% | 7.32% |
| ZIP 08722 (Beachwood borough, NJ) | 0% | 5.06% |
By share widowed
| Share of some other race, not Hispanic | Share widowed | |
|---|---|---|
| Highest | ||
| ZIP 07444 (Pompton Plains CDP, NJ) | 0% | 17.9% |
| ZIP 04843 (Knox County, ME) | 0% | 15.9% |
| ZIP 33480 (Palm Beach town, FL) | 0% | 15.6% |
| ZIP 24263 (Lee County, VA) | 0% | 15.1% |
| ZIP 28431 (Columbus County, NC) | 0% | 14.8% |
| Lowest | ||
| ZIP 01003 (Amherst Town city, MA) | 0% | 0% |
| ZIP 93410 (California Polytechnic State University CDP, CA) | 0% | 0% |
| ZIP 92310 (San Bernardino County, CA) | 0% | 0% |
| ZIP 80913 (Fort Carson CDP, CO) | 0% | 0% |
| ZIP 80310 (Boulder city, CO) | 0% | 0% |
Counties furthest from the pattern
Compared with the straight line that best fits all 989 counties: the five with far more share widowed than their share of some other race, not Hispanic would suggest, and the five with far less.
| Share of some other race, not Hispanic | Share widowed | |
|---|---|---|
| Above the line | ||
| Terrell County, TX | 0% | 23.3% |
| Comanche County, KS | 0% | 17.8% |
| De Baca County, NM | 0% | 15.2% |
| Pulaski County, GA | 0% | 15.1% |
| Quitman County, GA | 0% | 14.6% |
| Below the line | ||
| King County, TX | 0% | 0% |
| Eureka County, NV | 0% | 0% |
| Utah County, UT | 0.275% | 2.54% |
| McKenzie County, ND | 0% | 3.66% |
| Jim Hogg County, TX | 0% | 3.66% |
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 | -0.500 | 977 counties reporting both |
| After adjusting for density, income and education | -0.070 | the part of the link that is not just how urban, rich and educated a place is |
| Also adjusting for population size | +0.017 | size taken out as well as density |
| Also comparing only within each state | -0.070 | 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 | +0.080 | the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 161 equally weighted counties |
| Middle value inside single states | -0.446 | the link worked out inside each of 21 states with at least 20 counties reporting |
| Using ranks, after adjusting | -0.139 | 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 = 0.028. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.100. 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 0.036.
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 +0.14 (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 share of some other race, not hispanic rose most, did share widowedmove 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 | 924 | -0.03 | -0.02 | — |
| 2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years | 615 | -0.06 | -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
- Share aged 65 and over and Share widowed — +0.55
- Median age and Share widowed — +0.53
- Share widowed and Congregations per 10,000 people — +0.37
- Median household income and Share widowed — -0.34
- Per capita income and Share widowed — +0.32
- Share in the same house a year ago and Share widowed — +0.31
- Median gross rent and Share of some other race, not Hispanic — +0.27
- Median household income and Share of some other race, not Hispanic — +0.25
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 Share of some other race, not Hispanic and Share widowed