placestats

Share Hispanic or Latino, any race and House price index (2000 = 100)

Where Share Hispanic or Latino, any race is higher, House price index (2000 = 100) tends to be higher. The link is weak: +0.32 across 2,340 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 +0.07.

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 Hispanic or Latino, any race

The percentage of residents who are Hispanic or Latino, of any race. The Census asks about Hispanic origin separately from race. So this figure includes all races, and the race shares next to it count only people who are 'not Hispanic'.

Census ACS 5-year · ACS table B03002_012, 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 Hispanic or Latino, any race

Share Hispanic or Latino, any raceHouse price index (2000 = 100)
Highest
Webb County, TX95.1%224
Maverick County, TX94.9%228
Hidalgo County, TX91.9%238
Cameron County, TX89.3%231
Imperial County, CA85.6%263
Lowest
Ohio County, IN0%219
Perry County, OH0.812%223
Wayne County, WV0.852%155
Adams County, OH0.891%216
Armstrong County, PA0.891%194

By house price index (2000 = 100)

Share Hispanic or Latino, any raceHouse price index (2000 = 100)
Highest
Adams County, ID4.57%468
Williams County, ND9.67%466
Shoshone County, ID3.95%465
Hamlin County, SD5.42%458
Richland County, MT5.48%452
Lowest
Luce County, MI1.82%136
Coahoma County, MS2.13%140
Stephenson County, IL5.3%142
Massac County, IL2.78%142
McDonough County, IL3.45%143
States

By share Hispanic or Latino, any race

Share Hispanic or Latino, any raceHouse price index (2000 = 100)
Highest
New Mexico48.2%231
California39.8%308
Texas39.5%286
Arizona31%313
Nevada29.2%282
Lowest
West Virginia2.02%183
Maine2.08%285
Vermont2.49%271
Mississippi3.6%190
Montana4.39%329

By house price index (2000 = 100)

Share Hispanic or Latino, any raceHouse price index (2000 = 100)
Highest
District of Columbia11.6%395
Florida26.7%354
Hawaii9.84%353
Idaho13.3%344
Montana4.39%329
Lowest
Illinois18.5%173
Michigan5.74%176
West Virginia2.02%183
Ohio4.56%184
Mississippi3.6%190
Metro areas — House price index (2000 = 100) is not published for metro areas

By share Hispanic or Latino, any race

Share Hispanic or Latino, any raceHouse price index (2000 = 100)
Highest
Guayama, PR99.7%—
Coamo, PR99.6%—
Ponce, PR99.4%—
Lares, PR99.2%—
Arecibo, PR99.2%—
Lowest
Selma, AL0.906%—
St. Marys, PA0.997%—
Gallipolis, OH1.03%—
Elkins, WV1.08%—
Pikeville, KY1.11%—
Cities and towns — House price index (2000 = 100) is not published for cities and towns

By share Hispanic or Latino, any race

Share Hispanic or Latino, any raceHouse price index (2000 = 100)
Highest
Elsa city, TX100%—
Salida del Sol Estates CDP, TX100%—
Cayey zona urbana, PR100%—
Coco comunidad, PR100%—
Juncos zona urbana, PR100%—
Lowest
Monroeville city, AL0%—
Holtville CDP, AL0%—
Halls CDP, TN0%—
Treasure Lake CDP, PA0%—
Wellston city, OH0%—
ZIP codes — House price index (2000 = 100) is not published for ZIP codes

By share Hispanic or Latino, any race

Share Hispanic or Latino, any raceHouse price index (2000 = 100)
Highest
ZIP 00723 (Patillas Municipio, PR)100%—
ZIP 00731 (Ponce Municipio, PR)100%—
ZIP 00782 (Comerío Municipio, PR)100%—
ZIP 00952 (Sabana Seca comunidad, PR)100%—
ZIP 00719 (Naranjito Municipio, PR)100%—
Lowest
ZIP 04457 (Penobscot County, ME)0%—
ZIP 04364 (Kennebec County, ME)0%—
ZIP 04002 (York County, ME)0%—
ZIP 03235 (Franklin city, NH)0%—
ZIP 03070 (Hillsborough County, NH)0%—

Counties furthest from the pattern

Compared with the straight line that best fits all 2,341 counties: the five with far more house price index (2000 = 100) than their share Hispanic or Latino, any race would suggest, and the five with far less.

Share Hispanic or Latino, any raceHouse price index (2000 = 100)
Above the line
Adams County, ID4.57%468
Shoshone County, ID3.95%465
Williams County, ND9.67%466
Hamlin County, SD5.42%458
Richland County, MT5.48%452
Below the line
Grant County, KS52.9%170
San Miguel County, NM75.3%198
Webb County, TX95.1%224
Seward County, KS66.6%194
Maverick County, TX94.9%228

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+0.3032,340 counties reporting both
After adjusting for density, income and education+0.315the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.264size taken out as well as density
Also comparing only within each state+0.054each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.495the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 275 equally weighted counties
Middle value inside single states+0.073the link worked out inside each of 38 states with at least 20 counties reporting
Using ranks, after adjusting+0.369uses 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 = 5.4e-55. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 1.6e-5. 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 3.3e-54.

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 +0.63 (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 Hispanic or Latino, any race 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 pandemic2,308+0.21+0.030.556
2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years2,300+0.03+0.070.054

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 Hispanic or Latino, any race and House price index (2000 = 100)