placestats

Share foreign-born and House price index (2000 = 100)

Where Share foreign-born is higher, House price index (2000 = 100) tends to be higher. The link is weak: +0.35 across 2,133 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 34 states, the middle value of the link is +0.20.

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

Share foreign-born

The percentage of residents born outside the United States, whether or not they are citizens. The middle county is 2.7%, and the numbers are very uneven: Miami-Dade is 54% and Queens 48%, while half of all counties are under 3%. The count alone mostly ranks counties by size, which is why this percentage is shown next to it.

Census ACS 5-year · ACS table B05002_013, divided by total population

House price index (2000 = 100)

House prices compared with the same place in 2000, which is set to 100. A value of 250 means prices are 2.5 times what they were in 2000. It is not a price in dollars, so it shows growth, not which place costs more.

FHFA House Price Index · FHFA HPI all-transactions annual (developmental county/state), HPI with 2000 base

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 foreign-born

Share foreign-bornHouse price index (2000 = 100)
Highest
Miami-Dade County, FL54.3%431
Queens County, NY47.6%325
Hudson County, NJ42.6%321
Santa Clara County, CA41%273
Manassas Park city, VA36.6%323
Lowest
Floyd County, KY0.444%174
Vermillion County, IN0.485%180
Monroe County, AL0.516%164
Auglaize County, OH0.517%193
Preble County, OH0.524%178

By house price index (2000 = 100)

Share foreign-bornHouse price index (2000 = 100)
Highest
Williams County, ND7.52%466
Shoshone County, ID1.6%465
Hamlin County, SD3.96%458
Richland County, MT2.83%452
Miami-Dade County, FL54.3%431
Lowest
Luce County, MI1.17%136
Stephenson County, IL2.44%142
Massac County, IL1.55%142
McDonough County, IL2.98%143
Sunflower County, MS1.28%144
States

By share foreign-born

Share foreign-bornHouse price index (2000 = 100)
Highest
California26.7%308
New Jersey23.5%252
New York22.6%254
Florida21.4%354
Nevada19%282
Lowest
West Virginia1.71%183
Montana2.29%329
Mississippi2.39%190
Wyoming3.51%279
Alabama3.8%207

By house price index (2000 = 100)

Share foreign-bornHouse price index (2000 = 100)
Highest
District of Columbia13.3%395
Florida21.4%354
Hawaii18.1%353
Idaho5.74%344
Montana2.29%329
Lowest
Illinois14.4%173
Michigan7.04%176
West Virginia1.71%183
Ohio5.04%184
Mississippi2.39%190
Metro areas — House price index (2000 = 100) is not published for metro areas

By share foreign-born

Share foreign-bornHouse price index (2000 = 100)
Highest
Miami-Fort Lauderdale-West Palm Beach, FL41.9%—
San Jose-Sunnyvale-Santa Clara, CA40.3%—
Nogales, AZ34.1%—
Los Angeles-Long Beach-Anaheim, CA32.5%—
San Francisco-Oakland-Fremont, CA31.6%—
Lowest
Wapakoneta, OH0.517%—
Coshocton, OH0.548%—
Pikeville, KY0.62%—
Lewistown, PA0.697%—
Escanaba, MI0.711%—
Cities and towns — House price index (2000 = 100) is not published for cities and towns

By share foreign-born

Share foreign-bornHouse price index (2000 = 100)
Highest
Sweetwater city, FL75%—
Hialeah city, FL74.7%—
Fountainebleau CDP, FL73.7%—
Hialeah Gardens city, FL71.3%—
Doral city, FL70.7%—
Lowest
Kayenta CDP, AZ0%—
Odenville city, AL0%—
Monroeville city, AL0%—
Margaret town, AL0%—
Nitro city, WV0%—
ZIP codes — House price index (2000 = 100) is not published for ZIP codes

By share foreign-born

Share foreign-bornHouse price index (2000 = 100)
Highest
ZIP 33010 (Hialeah city, FL)78.5%—
ZIP 33012 (Hialeah city, FL)75.8%—
ZIP 33126 (Miami city, FL)75.6%—
ZIP 33135 (Miami city, FL)74.3%—
ZIP 33013 (Hialeah city, FL)74.1%—
Lowest
ZIP 00782 (Comerío Municipio, PR)0%—
ZIP 00780 (Ponce Municipio, PR)0%—
ZIP 72416 (Craighead County, AR)0%—
ZIP 71328 (Rapides Parish, LA)0%—
ZIP 71225 (Ouachita Parish, LA)0%—

Counties furthest from the pattern

Compared with the straight line that best fits all 2,134 counties: the five with far more house price index (2000 = 100) than their share foreign-born would suggest, and the five with far less.

Share foreign-bornHouse price index (2000 = 100)
Above the line
Shoshone County, ID1.6%465
Hamlin County, SD3.96%458
Richland County, MT2.83%452
Williams County, ND7.52%466
Gallatin County, MT4.06%420
Below the line
Grant County, KS23%170
Lake County, IL19.5%162
Seward County, KS28.7%194
Cook County, IL21.4%176
Santa Cruz County, AZ34.1%215

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+0.3712,133 counties reporting both
After adjusting for density, income and education+0.350the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.310size taken out as well as density
Also comparing only within each state+0.121each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.534the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 270 equally weighted counties
Middle value inside single states+0.197the link worked out inside each of 34 states with at least 20 counties reporting
Using ranks, after adjusting+0.398uses 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 = 2.7e-62. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 3.6e-8. The site tested 24,090 pairs, and testing so many turns up some flukes. The q-value allows for that too. For this pair it is 1.8e-61.

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 +0.61 (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 foreign-born rose most, did house price index (2000 = 100)move 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.

PeriodCountiesChange togetherWithin statesq
2014–2019 the main test: each Census survey figure averages five years, and these two do not overlap; before the pandemic2,101+0.06+0.090.109
2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years2,063+0.01+0.040.471

Over the main period, any link between the changes could easily be chance. How change is measured.

Related pairs

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 foreign-born and House price index (2000 = 100)