Median home value and Per capita income
Across 3,189 counties, Median home value and Per capita income have a link of +0.75, on a scale from −1 (opposite) to +1 (in step). But compare places with the same population density, income and education, and a very weak link of +0.19 remains. 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
Per capita income
All the money income in the area divided by everyone who lives there, children included. It is an average, so a few high earners pull it up, unlike the middle household income.
Census ACS 5-year · ACS table B19301_001
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 | Per capita income | |
|---|---|---|
| Highest | ||
| San Mateo County, CA | $1,494,500 | $81,980 |
| Marin County, CA | $1,390,000 | $90,408 |
| Nantucket County, MA | $1,387,000 | $72,733 |
| Santa Clara County, CA | $1,382,800 | $77,018 |
| San Francisco County, CA | $1,380,500 | $90,285 |
| Lowest | ||
| Todd County, SD | $45,200 | $13,849 |
| Oglala Lakota County, SD | $45,600 | $11,650 |
| McDowell County, WV | $49,200 | $16,599 |
| Stewart County, GA | $53,000 | $21,024 |
| Cottle County, TX | $54,100 | $33,973 |
By per capita income
| Median home value | Per capita income | |
|---|---|---|
| Highest | ||
| Pitkin County, CO | $1,131,200 | $105,100 |
| New York County, NY | $1,108,900 | $94,922 |
| Marin County, CA | $1,390,000 | $90,408 |
| San Francisco County, CA | $1,380,500 | $90,285 |
| Arlington County, VA | $864,800 | $88,024 |
| Lowest | ||
| Adjuntas Municipio, PR | $88,800 | $9,457 |
| Guánica Municipio, PR | $82,800 | $9,705 |
| Las MarÃas Municipio, PR | $89,700 | $9,744 |
| Jayuya Municipio, PR | $105,000 | $9,779 |
| Ciales Municipio, PR | $95,400 | $9,927 |
States
By median home value
| Median home value | Per capita income | |
|---|---|---|
| Highest | ||
| Hawaii | $808,200 | $44,823 |
| District of Columbia | $724,600 | $75,253 |
| California | $695,400 | $47,977 |
| Massachusetts | $525,800 | $56,284 |
| Washington | $519,800 | $51,493 |
| Lowest | ||
| Puerto Rico | $124,600 | $16,794 |
| West Virginia | $155,600 | $32,949 |
| Mississippi | $161,400 | $30,529 |
| Arkansas | $175,300 | $33,147 |
| Oklahoma | $185,900 | $34,859 |
By per capita income
| Median home value | Per capita income | |
|---|---|---|
| Highest | ||
| District of Columbia | $724,600 | $75,253 |
| Massachusetts | $525,800 | $56,284 |
| Connecticut | $343,200 | $54,409 |
| New Jersey | $427,600 | $53,118 |
| Maryland | $397,700 | $51,689 |
| Lowest | ||
| Puerto Rico | $124,600 | $16,794 |
| Mississippi | $161,400 | $30,529 |
| West Virginia | $155,600 | $32,949 |
| Arkansas | $175,300 | $33,147 |
| Louisiana | $208,700 | $34,211 |
Metro areas — Median home value is not published for metro areas
By per capita income
| Median home value | Per capita income | |
|---|---|---|
| Highest | ||
| San Jose-Sunnyvale-Santa Clara, CA | — | $75,895 |
| Nantucket, MA | — | $72,733 |
| Los Alamos, NM | — | $72,684 |
| San Francisco-Oakland-Fremont, CA | — | $72,306 |
| Vineyard Haven, MA | — | $71,014 |
| Lowest | ||
| Lares, PR | — | $10,871 |
| Utuado, PR | — | $10,916 |
| Coco, PR | — | $12,533 |
| Guayama, PR | — | $12,987 |
| Ponce, PR | — | $13,325 |
Cities and towns
By median home value
| Median home value | Per capita income | |
|---|---|---|
| Highest | ||
| Paradise Valley town, AZ | $2,000,001 | $149,320 |
| Alamo CDP, CA | $2,000,001 | $144,580 |
| Atherton town, CA | $2,000,001 | $203,140 |
| Belmont city, CA | $2,000,001 | $98,669 |
| Beverly Hills city, CA | $2,000,001 | $112,920 |
| Lowest | ||
| Kayenta CDP, AZ | $37,900 | $20,013 |
| Zephyrhills South CDP, FL | $41,900 | $24,512 |
| Johnstown city, PA | $42,100 | $23,501 |
| Flint city, MI | $47,600 | $20,799 |
| Raymondville city, TX | $48,200 | $20,365 |
By per capita income
| Median home value | Per capita income | |
|---|---|---|
| Highest | ||
| Palm Beach town, FL | $1,996,700 | $211,810 |
| Atherton town, CA | $2,000,001 | $203,140 |
| Highland Park town, TX | $1,887,300 | $187,200 |
| Scarsdale village, NY | $1,703,800 | $181,920 |
| Cherry Hills Village city, CO | $2,000,001 | $176,850 |
| Lowest | ||
| California Polytechnic State University CDP, CA | $518,800 | $5,540 |
| Leakesville town, MS | $111,300 | $7,329 |
| Kaser village, NY | $831,000 | $9,137 |
| Guánica zona urbana, PR | $78,300 | $9,863 |
| Utuado zona urbana, PR | $99,800 | $9,967 |
ZIP codes
By median home value
| Median home value | Per capita income | |
|---|---|---|
| Highest | ||
| ZIP 10007 (New York city, NY) | $2,000,001 | $209,000 |
| ZIP 10013 (New York city, NY) | $2,000,001 | $169,490 |
| ZIP 10069 (New York city, NY) | $2,000,001 | $166,540 |
| ZIP 10282 (New York city, NY) | $2,000,001 | $207,030 |
| ZIP 85253 (Paradise Valley town, AZ) | $2,000,001 | $135,330 |
| Lowest | ||
| ZIP 48505 (Flint city, MI) | $28,300 | $18,439 |
| ZIP 10475 (New York city, NY) | $31,900 | $32,714 |
| ZIP 86505 (Apache County, AZ) | $35,700 | $15,249 |
| ZIP 44502 (Youngstown city, OH) | $37,500 | $16,871 |
| ZIP 86033 (Navajo County, AZ) | $38,300 | $18,334 |
By per capita income
| Median home value | Per capita income | |
|---|---|---|
| Highest | ||
| ZIP 10007 (New York city, NY) | $2,000,001 | $209,000 |
| ZIP 10282 (New York city, NY) | $2,000,001 | $207,030 |
| ZIP 94027 (Atherton town, CA) | $2,000,001 | $203,240 |
| ZIP 94105 (San Francisco city, CA) | $1,461,700 | $196,160 |
| ZIP 33480 (Palm Beach town, FL) | $1,218,500 | $194,910 |
| Lowest | ||
| ZIP 37916 (Knoxville city, TN) | $270,000 | $8,453 |
| ZIP 77446 (Prairie View city, TX) | $284,000 | $8,951 |
| ZIP 00653 (Guánica Municipio, PR) | $80,400 | $9,383 |
| ZIP 00664 (Jayuya Municipio, PR) | $105,500 | $9,726 |
| ZIP 00965 (Guaynabo zona urbana, PR) | $102,200 | $9,744 |
Counties furthest from the pattern
Compared with the straight line that best fits all 3,206 counties: the five with far more per capita income than their median home value would suggest, and the five with far less.
| Median home value | Per capita income | |
|---|---|---|
| Above the line | ||
| Denali Borough, AK | $262,000 | $73,423 |
| Los Alamos County, NM | $452,500 | $72,684 |
| North Slope Borough, AK | $219,600 | $60,295 |
| Western Connecticut Planning Region, CT | $625,400 | $79,648 |
| Burke County, ND | $141,900 | $53,659 |
| Below the line | ||
| Maui County, HI | $858,600 | $44,403 |
| Kings County, NY | $889,700 | $46,057 |
| Kauai County, HI | $817,900 | $42,553 |
| Bronx County, NY | $517,000 | $26,956 |
| Nantucket County, MA | $1,387,000 | $72,733 |
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 | +0.754 | 3,189 counties reporting both |
| After adjusting for density, income and education | +0.187 | the part of the link that is not just how urban, rich and educated a place is |
| Also adjusting for population size | +0.193 | size taken out as well as density |
| Also comparing only within each state | +0.357 | 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 | +0.262 | 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 | +0.851 | the link worked out inside each of 41 states with at least 20 counties reporting |
| Using ranks, after adjusting | +0.046 | 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 = 1.6e-26. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.001. 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 5.9e-26.
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 +0.23 (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 per capita incomemove 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 | 3,198 | +0.09 | +0.15 | — |
| 2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years | 3,193 | +0.18 | +0.15 | — |
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 household income and Per capita income — +0.77
- Median home value and Local income tax collected — +0.70
- Median gross rent and Median home value — +0.59
- Per capita income and Share with a bachelor's degree or higher — +0.54
- Median household income and Median home value — +0.50
- Median age and Per capita income — +0.47
- Median home value and Mean income of arriving households — +0.46
- Gini index of income inequality and Per capita income — +0.46
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 Per capita income