Homeownership rate and Average test score
Where Homeownership rate is higher, Average test score tends to be higher. The link is weak: +0.31 across 2,756 counties, on a scale from −1 (opposite) to +1 (in step). That figure compares places with the same population density, income and education, so those differences can't explain it. It holds inside states too. Measured separately within each of 38 states, the middle value of the link is +0.14.
Holds 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
Homeownership rate
The percentage of lived-in homes that are owned, not rented. Empty homes are left out of the count entirely.
Census ACS 5-year · ACS table B25003_002, divided by occupied housing units
Average test score
How far above or below the national average children here score on tests, in grade levels. Minus one means about a year behind. It reflects everything in children's lives, not only their schools.
Stanford Education Data Archive · SEDA cs_mn_avg_ol
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 homeownership rate
| Homeownership rate | Average test score | |
|---|---|---|
| Highest | ||
| Cameron Parish, LA | 96.9% | -0.229 |
| Edwards County, TX | 94.5% | -0.452 |
| Elbert County, CO | 94.4% | 0.157 |
| Powhatan County, VA | 93.1% | 0.174 |
| Piute County, UT | 92.6% | 0.133 |
| Lowest | ||
| Bronx County, NY | 20.3% | -0.35 |
| New York County, NY | 24.7% | 0.132 |
| Kings County, NY | 29.7% | 0.0126 |
| Hudson County, NJ | 31.2% | -0.015 |
| Chattahoochee County, GA | 36% | -0.329 |
By average test score
| Homeownership rate | Average test score | |
|---|---|---|
| Highest | ||
| Skagway Municipality, AK | 65.6% | 0.738 |
| Forsyth County, GA | 85% | 0.713 |
| Norfolk County, MA | 68.5% | 0.652 |
| Morris County, NJ | 73.9% | 0.627 |
| Williamson County, TN | 79.8% | 0.621 |
| Lowest | ||
| Kusilvak Census Area, AK | 69.4% | -1.31 |
| Bethel Census Area, AK | 60.5% | -1.27 |
| Todd County, SD | 44.9% | -1.21 |
| St. Helena Parish, LA | 74.5% | -1.16 |
| Sioux County, ND | 46% | -1.15 |
States — Average test score is not published for states
By homeownership rate
| Homeownership rate | Average test score | |
|---|---|---|
| Highest | ||
| West Virginia | 74.3% | — |
| Maine | 74% | — |
| Michigan | 72.9% | — |
| Vermont | 72.8% | — |
| New Hampshire | 72.5% | — |
| Lowest | ||
| District of Columbia | 41.1% | — |
| New York | 54.3% | — |
| California | 55.8% | — |
| Nevada | 59.3% | — |
| Hawaii | 62.6% | — |
Metro areas
By homeownership rate
| Homeownership rate | Average test score | |
|---|---|---|
| Highest | ||
| Wildwood-The Villages, FL | 88.1% | 0.228 |
| Hemlock Farms, PA | 86.2% | 0.269 |
| Holland, MI | 86.1% | 0.0347 |
| Homosassa Springs, FL | 84.8% | 0.149 |
| DeRidder, LA | 83.2% | -0.192 |
| Lowest | ||
| Pullman, WA | 46.6% | 0.332 |
| Los Angeles-Long Beach-Anaheim, CA | 48.6% | -0.199 |
| Carbondale, IL | 49.3% | -0.232 |
| Laramie, WY | 49.4% | 0.386 |
| Lawrence, KS | 49.5% | 0.236 |
By average test score
| Homeownership rate | Average test score | |
|---|---|---|
| Highest | ||
| Vineyard Haven, MA | 74.6% | 0.583 |
| North Platte, NE | 64.5% | 0.553 |
| Los Alamos, NM | 74.5% | 0.543 |
| Sheridan, WY | 69.9% | 0.536 |
| Lewisburg, PA | 71.5% | 0.521 |
| Lowest | ||
| Forrest City, AR | 55.2% | -0.774 |
| Shawano, WI | 78.2% | -0.756 |
| Selma, AL | 61% | -0.724 |
| Clarksdale, MS | 52% | -0.69 |
| Eufaula, AL-GA | 68.5% | -0.647 |
Cities and towns — Average test score is not published for cities and towns
By homeownership rate
| Homeownership rate | Average test score | |
|---|---|---|
| Highest | ||
| East Hills village, NY | 100% | — |
| White Rock CDP, NM | 99.6% | — |
| Hooper city, UT | 99.4% | — |
| Marvin village, NC | 99.3% | — |
| Todd Creek CDP, CO | 99.2% | — |
| Lowest | ||
| Fort Carson CDP, CO | 0% | — |
| Air Force Academy CDP, CO | 0% | — |
| Camp Pendleton Mainside CDP, CA | 0% | — |
| North Fort Lewis CDP, WA | 0% | — |
| Lackland AFB CDP, TX | 0% | — |
ZIP codes — Average test score is not published for ZIP codes
By homeownership rate
| Homeownership rate | Average test score | |
|---|---|---|
| Highest | ||
| ZIP 29207 (Columbia city, SC) | 100% | — |
| ZIP 08056 (Gloucester County, NJ) | 100% | — |
| ZIP 48380 (Oakland County, MI) | 99.7% | — |
| ZIP 87547 (White Rock CDP, NM) | 99.6% | — |
| ZIP 06419 (Middlesex County, CT) | 99.5% | — |
| Lowest | ||
| ZIP 01003 (Amherst Town city, MA) | 0% | — |
| ZIP 99703 (Fairbanks city, AK) | 0% | — |
| ZIP 99505 (Anchorage municipality, AK) | 0% | — |
| ZIP 93106 (University of California-Santa Barbara CDP, CA) | 0% | — |
| ZIP 92136 (San Diego city, CA) | 0% | — |
Counties furthest from the pattern
Compared with the straight line that best fits all 2,771 counties: the five with far more average test score than their homeownership rate would suggest, and the five with far less.
| Homeownership rate | Average test score | |
|---|---|---|
| Above the line | ||
| Skagway Municipality, AK | 65.6% | 0.738 |
| Falls Church city, VA | 50.2% | 0.562 |
| Norfolk County, MA | 68.5% | 0.652 |
| Forsyth County, GA | 85% | 0.713 |
| Middlesex County, MA | 61.6% | 0.559 |
| Below the line | ||
| Kusilvak Census Area, AK | 69.4% | -1.31 |
| Bethel Census Area, AK | 60.5% | -1.27 |
| St. Helena Parish, LA | 74.5% | -1.16 |
| Todd County, SD | 44.9% | -1.21 |
| Allendale County, SC | 64.7% | -1.05 |
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 | +0.209 | 2,756 counties reporting both |
| After adjusting for density, income and education | +0.311 | the part of the link that is not just how urban, rich and educated a place is |
| Also adjusting for population size | +0.285 | size taken out as well as density |
| Also comparing only within each state | +0.265 | 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 | +0.486 | the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 267 equally weighted counties |
| Middle value inside single states | +0.144 | the link worked out inside each of 38 states with at least 20 counties reporting |
| Using ranks, after adjusting | +0.241 | 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 = 1.0e-62. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 2.2e-6. 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 6.4e-62.
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 +0.42 (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?
Not measurable: at least one of these is published for too few of the years a change needs (2014–2019 or 2019–2023), or for too few counties in both.
Related pairs
- Housing insecurity and Average test score — -0.71
- Food insecurity and Average test score — -0.70
- Lack of reliable transportation and Average test score — -0.69
- Share White, not Hispanic and Average test score — +0.66
- Lacking social and emotional support and Average test score — -0.65
- Threat of utility shut-off and Average test score — -0.65
- Received food stamps and Average test score — -0.64
- Material security score and Average test score — +0.62
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 Homeownership rate and Average test score