Share Hispanic or Latino, any race and Friending bias
Where Share Hispanic or Latino, any race is higher, Friending bias tends to be higher. The link is weak: +0.36 across 2,814 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 40 states, the middle value of the link is +0.36.
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
Friending bias
How much less often low-income people make high-income friends than you would expect from how often they meet them. A high value means the chance to mix is there but is not taken.
Social Capital Atlas · Opportunity Insights bias_grp_mem_county
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 race | Friending bias | |
|---|---|---|
| Highest | ||
| Starr County, TX | 97.3% | 0.00257 |
| Webb County, TX | 95.1% | 0.0665 |
| Maverick County, TX | 94.9% | 0.0598 |
| Zapata County, TX | 93.9% | 0.0809 |
| Zavala County, TX | 92.6% | 0.101 |
| Lowest | ||
| Wirt County, WV | 0% | 0.0437 |
| Potter County, SD | 0% | -0.0765 |
| McCone County, MT | 0% | -0.043 |
| Owsley County, KY | 0% | -0.0313 |
| Ohio County, IN | 0% | 0.0169 |
By friending bias
| Share Hispanic or Latino, any race | Friending bias | |
|---|---|---|
| Highest | ||
| Todd County, SD | 2.28% | 0.335 |
| Nantucket County, MA | 16.4% | 0.33 |
| DeSoto County, FL | 29.8% | 0.308 |
| Marin County, CA | 19% | 0.271 |
| Jerome County, ID | 38.5% | 0.257 |
| Lowest | ||
| Armstrong County, TX | 9.56% | -0.0962 |
| Oldham County, TX | 24.5% | -0.0928 |
| Perkins County, NE | 5.08% | -0.0809 |
| Dewey County, OK | 6.02% | -0.0782 |
| Potter County, SD | 0% | -0.0765 |
States — Friending bias is not published for states
By share Hispanic or Latino, any race
| Share Hispanic or Latino, any race | Friending bias | |
|---|---|---|
| Highest | ||
| Puerto Rico | 98.8% | — |
| New Mexico | 48.2% | — |
| California | 39.8% | — |
| Texas | 39.5% | — |
| Arizona | 31% | — |
| Lowest | ||
| West Virginia | 2.02% | — |
| Maine | 2.08% | — |
| Vermont | 2.49% | — |
| Mississippi | 3.6% | — |
| Montana | 4.39% | — |
Metro areas
By share Hispanic or Latino, any race
| Share Hispanic or Latino, any race | Friending bias | |
|---|---|---|
| Highest | ||
| Rio Grande City-Roma, TX | 97.3% | 0.00257 |
| Laredo, TX | 95.1% | 0.0665 |
| Eagle Pass, TX | 94.9% | 0.0598 |
| Zapata, TX | 93.9% | 0.0809 |
| McAllen-Edinburg-Mission, TX | 91.9% | 0.03 |
| Lowest | ||
| Selma, AL | 0.906% | 0.113 |
| St. Marys, PA | 0.997% | 0.0742 |
| Gallipolis, OH | 1.03% | 0.053 |
| Elkins, WV | 1.08% | 0.0861 |
| Pikeville, KY | 1.11% | 0.0161 |
By friending bias
| Share Hispanic or Latino, any race | Friending bias | |
|---|---|---|
| Highest | ||
| Nantucket, MA | 16.4% | 0.33 |
| Arcadia, FL | 29.8% | 0.308 |
| Trenton-Princeton, NJ | 22.2% | 0.241 |
| Napa, CA | 35.9% | 0.222 |
| Bridgeport-Stamford-Danbury, CT | 22% | 0.219 |
| Lowest | ||
| Harrison, AR | 2.96% | -0.0249 |
| Urban Honolulu, HI | 9.34% | -0.0207 |
| Cullman, AL | 4.86% | -0.0194 |
| Rexburg, ID | 10.2% | -0.0125 |
| Moscow, ID | 5.1% | -0.0123 |
Cities and towns — Friending bias is not published for cities and towns
By share Hispanic or Latino, any race
| Share Hispanic or Latino, any race | Friending bias | |
|---|---|---|
| Highest | ||
| Elsa city, TX | 100% | — |
| Salida del Sol Estates CDP, TX | 100% | — |
| Cayey zona urbana, PR | 100% | — |
| Coco comunidad, PR | 100% | — |
| Juncos zona urbana, PR | 100% | — |
| Lowest | ||
| Monroeville city, AL | 0% | — |
| Holtville CDP, AL | 0% | — |
| Halls CDP, TN | 0% | — |
| Treasure Lake CDP, PA | 0% | — |
| Wellston city, OH | 0% | — |
ZIP codes — Friending bias is not published for ZIP codes
By share Hispanic or Latino, any race
| Share Hispanic or Latino, any race | Friending bias | |
|---|---|---|
| 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 2,819 counties: the five with far more friending bias than their share Hispanic or Latino, any race would suggest, and the five with far less.
| Share Hispanic or Latino, any race | Friending bias | |
|---|---|---|
| Above the line | ||
| Todd County, SD | 2.28% | 0.335 |
| Nantucket County, MA | 16.4% | 0.33 |
| DeSoto County, FL | 29.8% | 0.308 |
| Marin County, CA | 19% | 0.271 |
| Mahnomen County, MN | 3.69% | 0.243 |
| Below the line | ||
| Oldham County, TX | 24.5% | -0.0928 |
| Starr County, TX | 97.3% | 0.00257 |
| Armstrong County, TX | 9.56% | -0.0962 |
| Harper County, OK | 23.3% | -0.0701 |
| Perkins County, NE | 5.08% | -0.0809 |
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 | +0.318 | 2,814 counties reporting both |
| After adjusting for density, income and education | +0.360 | the part of the link that is not just how urban, rich and educated a place is |
| Also adjusting for population size | +0.302 | size taken out as well as density |
| Also comparing only within each state | +0.289 | 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 | +0.247 | the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 283 equally weighted counties |
| Middle value inside single states | +0.362 | the link worked out inside each of 40 states with at least 20 counties reporting |
| Using ranks, after adjusting | +0.336 | 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 = 1.4e-86. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 6.3e-5. 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 1.1e-85.
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 +0.17 (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
- Poverty rate and Share Hispanic or Latino, any race — +0.51
- Share Hispanic or Latino, any race and Catholic adherents — +0.47
- Share White, not Hispanic and Friending bias — -0.39
- Share Hispanic or Latino, any race and Economic connectedness — -0.37
- Friending bias and Average test score — -0.36
- Share Hispanic or Latino, any race and Unemployment rate — +0.35
- Share Hispanic or Latino, any race and Returns claiming the earned income credit — +0.34
- Share never married and Friending bias — +0.34
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 Friending bias