Median home value and Share widowed
Across 3,155 counties, Median home value and Share widowed have a link of -0.51, 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
Median home value
What the owner of the middle owner-lived-in home says it would sell for. It is the owner's own guess, not an actual sale price.
Census ACS 5-year · ACS table B25077_001
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 median home value
| Median home value | Share widowed | |
|---|---|---|
| Highest | ||
| San Mateo County, CA | $1,494,500 | 4.84% |
| Marin County, CA | $1,390,000 | 4.86% |
| Nantucket County, MA | $1,387,000 | 3.46% |
| Santa Clara County, CA | $1,382,800 | 4.24% |
| San Francisco County, CA | $1,380,500 | 4.47% |
| Lowest | ||
| Todd County, SD | $45,200 | 4.75% |
| Oglala Lakota County, SD | $45,600 | 6.1% |
| McDowell County, WV | $49,200 | 13.8% |
| Stewart County, GA | $53,000 | 7.03% |
| Stonewall County, TX | $54,700 | 11.4% |
By share widowed
| Median home value | Share widowed | |
|---|---|---|
| Highest | ||
| Terrell County, TX | $152,200 | 23.3% |
| Comanche County, KS | $59,900 | 17.8% |
| Hooker County, NE | $85,400 | 16.7% |
| Pulaski County, GA | $144,300 | 15.1% |
| Quitman County, GA | $103,000 | 14.6% |
| Lowest | ||
| Madison County, ID | $365,000 | 1.46% |
| Summit County, CO | $850,700 | 1.8% |
| Gunnison County, CO | $597,200 | 2.4% |
| Utah County, UT | $489,200 | 2.54% |
| Arlington County, VA | $864,800 | 2.73% |
States
By median home value
| Median home value | Share widowed | |
|---|---|---|
| Highest | ||
| Hawaii | $808,200 | 5.95% |
| District of Columbia | $724,600 | 3.41% |
| California | $695,400 | 4.74% |
| Massachusetts | $525,800 | 5.1% |
| Washington | $519,800 | 4.61% |
| Lowest | ||
| Puerto Rico | $124,600 | 7.85% |
| West Virginia | $155,600 | 7.93% |
| Mississippi | $161,400 | 7.06% |
| Arkansas | $175,300 | 6.86% |
| Oklahoma | $185,900 | 6.4% |
By share widowed
| Median home value | Share widowed | |
|---|---|---|
| Highest | ||
| West Virginia | $155,600 | 7.93% |
| Puerto Rico | $124,600 | 7.85% |
| Mississippi | $161,400 | 7.06% |
| Alabama | $195,100 | 6.88% |
| Arkansas | $175,300 | 6.86% |
| Lowest | ||
| District of Columbia | $724,600 | 3.41% |
| Utah | $455,000 | 3.51% |
| Alaska | $333,300 | 4.09% |
| Colorado | $502,200 | 4.11% |
| Washington | $519,800 | 4.61% |
Metro areas — Median home value is not published for metro areas
By share widowed
| Median home value | Share widowed | |
|---|---|---|
| Highest | ||
| Mountain Home, AR | — | 11.2% |
| Martinsville, VA | — | 10.8% |
| Middlesborough, KY | — | 10.6% |
| Wildwood-The Villages, FL | — | 10.5% |
| Selma, AL | — | 10.4% |
| Lowest | ||
| Breckenridge, CO | — | 1.8% |
| Rexburg, ID | — | 2.1% |
| Provo-Orem-Lehi, UT | — | 2.56% |
| Heber, UT | — | 2.88% |
| Logan, UT-ID | — | 2.92% |
Cities and towns
By median home value
| Median home value | Share widowed | |
|---|---|---|
| Highest | ||
| Paradise Valley town, AZ | $2,000,001 | 4.03% |
| Alamo CDP, CA | $2,000,001 | 2.89% |
| Atherton town, CA | $2,000,001 | 4.26% |
| Belmont city, CA | $2,000,001 | 3.66% |
| Beverly Hills city, CA | $2,000,001 | 5.46% |
| Lowest | ||
| Zephyrhills South CDP, FL | $41,900 | 16.6% |
| Johnstown city, PA | $42,100 | 7.9% |
| Flint city, MI | $47,600 | 6.19% |
| Raymondville city, TX | $48,200 | 6.45% |
| Beecher CDP, MI | $48,400 | 6.69% |
By share widowed
| Median home value | Share widowed | |
|---|---|---|
| Highest | ||
| Leisure World CDP, MD | $265,100 | 24.3% |
| Holiday City-Berkeley CDP, NJ | $237,200 | 23.8% |
| Crestwood Village CDP, NJ | $95,700 | 23.2% |
| South Pasadena city, FL | $319,600 | 22.3% |
| The Meadows CDP, FL | $344,900 | 21% |
| Lowest | ||
| University of California-Santa Barbara CDP, CA | $452,600 | 0% |
| Fort Riley CDP, KS | $222,100 | 0% |
| Allendale CDP, MI | $287,600 | 1% |
| Eagle Mountain city, UT | $469,500 | 1.07% |
| Rexburg city, ID | $384,000 | 1.1% |
ZIP codes
By median home value
| Median home value | Share widowed | |
|---|---|---|
| Highest | ||
| ZIP 10013 (New York city, NY) | $2,000,001 | 4.74% |
| ZIP 10282 (New York city, NY) | $2,000,001 | 8.05% |
| ZIP 85253 (Paradise Valley town, AZ) | $2,000,001 | 3.94% |
| ZIP 90049 (Los Angeles city, CA) | $2,000,001 | 3.85% |
| ZIP 90077 (Los Angeles city, CA) | $2,000,001 | 4.6% |
| Lowest | ||
| ZIP 48505 (Flint city, MI) | $28,300 | 6.71% |
| ZIP 10475 (New York city, NY) | $31,900 | 7.35% |
| ZIP 86505 (Apache County, AZ) | $35,700 | 7.59% |
| ZIP 44502 (Youngstown city, OH) | $37,500 | 7.09% |
| ZIP 86033 (Navajo County, AZ) | $38,300 | 5.5% |
By share widowed
| Median home value | Share widowed | |
|---|---|---|
| Highest | ||
| ZIP 92637 (Laguna Woods city, CA) | $364,900 | 20.5% |
| ZIP 85351 (Sun City CDP, AZ) | $250,300 | 18.6% |
| ZIP 08759 (Ocean County, NJ) | $176,600 | 18.5% |
| ZIP 07444 (Pompton Plains CDP, NJ) | $488,200 | 17.9% |
| ZIP 33484 (Palm Beach County, FL) | $220,100 | 17.3% |
| Lowest | ||
| ZIP 66442 (Riley County, KS) | $222,100 | 0% |
| ZIP 29207 (Columbia city, SC) | $168,800 | 0% |
| ZIP 10005 (New York city, NY) | $1,387,200 | 0% |
| ZIP 43201 (Columbus city, OH) | $438,300 | 0.801% |
| ZIP 49401 (Allendale CDP, MI) | $298,700 | 0.909% |
Counties furthest from the pattern
Compared with the straight line that best fits all 3,165 counties: the five with far more share widowed than their median home value would suggest, and the five with far less.
| Median home value | Share widowed | |
|---|---|---|
| Above the line | ||
| Terrell County, TX | $152,200 | 23.3% |
| Comanche County, KS | $59,900 | 17.8% |
| Hooker County, NE | $85,400 | 16.7% |
| Pulaski County, GA | $144,300 | 15.1% |
| Quitman County, GA | $103,000 | 14.6% |
| Below the line | ||
| Madison County, ID | $365,000 | 1.46% |
| Winkler County, TX | $121,200 | 3.39% |
| Rolette County, ND | $93,000 | 3.76% |
| Radford city, VA | $211,700 | 2.95% |
| Riley County, KS | $231,200 | 2.87% |
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 | -0.505 | 3,155 counties reporting both |
| After adjusting for density, income and education | -0.068 | the part of the link that is not just how urban, rich and educated a place is |
| Also adjusting for population size | -0.034 | size taken out as well as density |
| Also comparing only within each state | +0.056 | 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 | -0.037 | 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 | -0.576 | the link worked out inside each of 41 states with at least 20 counties reporting |
| Using ranks, after adjusting | -0.196 | 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 = 0.000. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.120. 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 0.000.
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 +0.19 (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 median home value 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 | 3,165 | -0.11 | -0.07 | — |
| 2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years | 3,143 | -0.12 | -0.12 | — |
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
- Median home value and Local income tax collected — +0.70
- Median gross rent and Median home value — +0.59
- Share aged 65 and over and Share widowed — +0.55
- Median age and Share widowed — +0.53
- Median household income and Median home value — +0.50
- Median home value and Mean income of arriving households — +0.46
- Median home value and Returns claiming charitable contributions — +0.42
- Median home value and Mean income of departing households — +0.39
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 Median home value and Share widowed