Population with a bachelor's degree or higher and Share Asian, not Hispanic
Where Population with a bachelor's degree or higher is higher, Share Asian, not Hispanic tends to be higher. The link is weak: +0.35 across 2,057 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 39 states, the middle value of the link is +0.65.
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
Population with a bachelor's degree or higher
The number of adults aged 25 and over who have at least a bachelor's degree.
Census ACS 5-year · ACS table B15003_022…B15003_025 (4 cells)
Share Asian, not Hispanic
The percentage of residents who are Asian alone and not Hispanic.
Census ACS 5-year · ACS table B03002_006, divided by total population
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 population with a bachelor's degree or higher
| Population with a bachelor's degree or higher, per 1,000 residents | Share Asian, not Hispanic | |
|---|---|---|
| Highest | ||
| Arlington County, VA | 567.27 | 10.5% |
| Falls Church city, VA | 537.86 | 9.18% |
| Alexandria city, VA | 498.83 | 6.24% |
| Los Alamos County, NM | 496.34 | 4.98% |
| New York County, NY | 495.59 | 12.3% |
| Lowest | ||
| Buffalo County, SD | 36.43 | 0% |
| Duval County, TX | 46.42 | 0% |
| Elliott County, KY | 47.57 | 0% |
| Oglala Lakota County, SD | 50.64 | 0% |
| Wolfe County, KY | 51.36 | 0% |
By share Asian, not Hispanic
| Population with a bachelor's degree or higher, per 1,000 residents | Share Asian, not Hispanic | |
|---|---|---|
| Highest | ||
| Honolulu County, HI | 265.92 | 42% |
| Aleutians West Census Area, AK | 132.68 | 40.7% |
| Santa Clara County, CA | 392.79 | 39.3% |
| San Francisco County, CA | 481.10 | 34.7% |
| Alameda County, CA | 370.74 | 32% |
| Lowest | ||
| Yuma County, CO | 172.97 | 0% |
| San Juan County, CO | 382.61 | 0% |
| Lincoln County, CO | 193.85 | 0% |
| Kiowa County, CO | 143.81 | 0% |
| Jackson County, CO | 211.67 | 0% |
States
By population with a bachelor's degree or higher
| Population with a bachelor's degree or higher, per 1,000 residents | Share Asian, not Hispanic | |
|---|---|---|
| Highest | ||
| District of Columbia | 458.15 | 4.01% |
| Massachusetts | 329.77 | 7.03% |
| Colorado | 310.87 | 3.16% |
| Vermont | 305.88 | 1.63% |
| New Jersey | 299.09 | 9.83% |
| Lowest | ||
| Mississippi | 161.28 | 0.965% |
| West Virginia | 165.62 | 0.747% |
| Arkansas | 169.23 | 1.53% |
| Louisiana | 178.70 | 1.71% |
| Oklahoma | 183.67 | 2.31% |
By share Asian, not Hispanic
| Population with a bachelor's degree or higher, per 1,000 residents | Share Asian, not Hispanic | |
|---|---|---|
| Highest | ||
| Hawaii | 252.07 | 36.7% |
| California | 250.60 | 15.1% |
| New Jersey | 299.09 | 9.83% |
| Washington | 270.92 | 9.31% |
| New York | 278.55 | 8.83% |
| Lowest | ||
| Puerto Rico | 215.88 | 0.082% |
| West Virginia | 165.62 | 0.747% |
| Wyoming | 204.12 | 0.798% |
| Montana | 240.77 | 0.809% |
| Mississippi | 161.28 | 0.965% |
Metro areas
By population with a bachelor's degree or higher
| Population with a bachelor's degree or higher, per 1,000 residents | Share Asian, not Hispanic | |
|---|---|---|
| Highest | ||
| Los Alamos, NM | 494.55 | 4.98% |
| Boulder, CO | 428.45 | 4.63% |
| Nantucket, MA | 422.39 | 1.78% |
| Jackson, WY-ID | 421.56 | 1.41% |
| San Francisco-Oakland-Fremont, CA | 390.22 | 27.4% |
| Lowest | ||
| Clewiston, FL | 71.83 | 1.05% |
| Liberal, KS | 76.00 | 2.38% |
| Raymondville, TX | 78.60 | 0% |
| Beeville, TX | 79.77 | 0.584% |
| Eufaula, AL-GA | 80.48 | 0.507% |
By share Asian, not Hispanic
| Population with a bachelor's degree or higher, per 1,000 residents | Share Asian, not Hispanic | |
|---|---|---|
| Highest | ||
| Urban Honolulu, HI | 269.76 | 42% |
| San Jose-Sunnyvale-Santa Clara, CA | 389.21 | 38.1% |
| Kapaa, HI | 217.30 | 29% |
| Kahului-Wailuku, HI | 217.72 | 27.8% |
| San Francisco-Oakland-Fremont, CA | 390.22 | 27.4% |
| Lowest | ||
| Raymondville, TX | 78.60 | 0% |
| Mitchell, SD | 160.48 | 0% |
| Las Vegas, NM | 196.71 | 0% |
| Iron Mountain, MI-WI | 179.10 | 0% |
| Hailey, ID | 276.46 | 0% |
Cities and towns
By population with a bachelor's degree or higher
| Population with a bachelor's degree or higher, per 1,000 residents | Share Asian, not Hispanic | |
|---|---|---|
| Highest | ||
| Sausalito city, CA | 666.02 | 7.28% |
| Druid Hills CDP, GA | 662.48 | 7.96% |
| North Hills village, NY | 654.92 | 31.9% |
| Los Altos Hills town, CA | 648.02 | 39.3% |
| Emeryville city, CA | 634.92 | 29.6% |
| Lowest | ||
| Binghamton University CDP, NY | 0.00 | 11.9% |
| Corcoran city, CA | 21.79 | 1.23% |
| San Elizario city, TX | 28.55 | 0% |
| Florida City city, FL | 43.62 | 0% |
| Adelanto city, CA | 44.01 | 1.52% |
By share Asian, not Hispanic
| Population with a bachelor's degree or higher, per 1,000 residents | Share Asian, not Hispanic | |
|---|---|---|
| Highest | ||
| Cupertino city, CA | 572.80 | 71.7% |
| Milpitas city, CA | 425.62 | 71.5% |
| South San Gabriel CDP, CA | 217.96 | 69.5% |
| San Marino city, CA | 577.00 | 68.9% |
| Waipahu CDP, HI | 130.85 | 67.1% |
| Lowest | ||
| Terryville CDP, CT | 142.21 | 0% |
| Woodland Park city, CO | 314.33 | 0% |
| Lochbuie town, CO | 102.80 | 0% |
| Eagle town, CO | 336.94 | 0% |
| Hilmar-Irwin CDP, CA | 63.32 | 0% |
ZIP codes
By population with a bachelor's degree or higher
| Population with a bachelor's degree or higher, per 1,000 residents | Share Asian, not Hispanic | |
|---|---|---|
| Highest | ||
| ZIP 02210 (Boston city, MA) | 818.28 | 7.54% |
| ZIP 60654 (Chicago city, IL) | 790.77 | 8.5% |
| ZIP 60661 (Chicago city, IL) | 768.41 | 23.1% |
| ZIP 10017 (New York city, NY) | 755.02 | 18.3% |
| ZIP 78701 (Austin city, TX) | 746.45 | 5.86% |
| Lowest | ||
| ZIP 22807 (Harrisonburg city, VA) | 0.00 | 6.21% |
| ZIP 19717 (Newark city, DE) | 0.00 | 5.55% |
| ZIP 13902 (Binghamton University CDP, NY) | 0.00 | 11.9% |
| ZIP 92254 (Riverside County, CA) | 17.91 | 0% |
| ZIP 46571 (LaGrange County, IN) | 18.51 | 0% |
By share Asian, not Hispanic
| Population with a bachelor's degree or higher, per 1,000 residents | Share Asian, not Hispanic | |
|---|---|---|
| Highest | ||
| ZIP 94539 (Fremont city, CA) | 559.45 | 78.4% |
| ZIP 11355 (New York city, NY) | 186.21 | 74.5% |
| ZIP 94555 (Fremont city, CA) | 473.15 | 73.2% |
| ZIP 95035 (Milpitas city, CA) | 425.72 | 71.3% |
| ZIP 95014 (Santa Clara County, CA) | 571.36 | 71.3% |
| Lowest | ||
| ZIP 08734 (Ocean County, NJ) | 244.64 | 0% |
| ZIP 08533 (Ocean County, NJ) | 208.94 | 0% |
| ZIP 08059 (Mount Ephraim borough, NJ) | 177.35 | 0% |
| ZIP 07524 (Paterson city, NJ) | 80.68 | 0% |
| ZIP 06331 (Windham County, CT) | 206.78 | 0% |
Counties furthest from the pattern
Compared with the straight line that best fits all 2,062 counties: the five with far more share Asian, not Hispanic than their population with a bachelor's degree or higher would suggest, and the five with far less.
| Population with a bachelor's degree or higher, per 1,000 residents | Share Asian, not Hispanic | |
|---|---|---|
| Above the line | ||
| Aleutians West Census Area, AK | 132.68 | 40.7% |
| Honolulu County, HI | 265.92 | 42% |
| Santa Clara County, CA | 392.79 | 39.3% |
| Kauai County, HI | 218.01 | 29% |
| San Francisco County, CA | 481.10 | 34.7% |
| Below the line | ||
| Teton County, WY | 470.59 | 1.41% |
| Hinsdale County, CO | 390.84 | 0% |
| San Juan County, WA | 441.42 | 1.14% |
| San Juan County, CO | 382.61 | 0% |
| Keweenaw County, MI | 367.52 | 0% |
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.
Loading…
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 | +0.522 | 2,057 counties reporting both |
| After adjusting for density, income and education | +0.353 | the part of the link that is not just how urban, rich and educated a place is |
| Also adjusting for population size | +0.327 | size taken out as well as density |
| Also comparing only within each state | +0.334 | 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 | +0.306 | the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 261 equally weighted counties |
| Middle value inside single states | +0.653 | the link worked out inside each of 39 states with at least 20 counties reporting |
| Using ranks, after adjusting | +0.353 | 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 = 2.2e-61. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 9.7e-12. 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 1.3e-60.
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 +0.33 (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 population with a bachelor's degree or higher rose most, did share asian, not hispanicmove 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 | 1,643 | +0.09 | +0.09 | — |
| 2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years | 1,723 | +0.04 | +0.05 | — |
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
- Homeownership rate and Share Asian, not Hispanic — -0.40
- Population with a bachelor's degree or higher and Share foreign-born — +0.39
- Median gross rent and Share Asian, not Hispanic — +0.37
- Share Asian, not Hispanic and Personal income — +0.36
- Share Asian, not Hispanic and Local income tax collected — +0.35
- Foreign-born population and Share Asian, not Hispanic — +0.34
- Share Asian, not Hispanic and Gross domestic product — +0.34
- Median home value and Share Asian, not Hispanic — +0.33
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 Population with a bachelor's degree or higher and Share Asian, not Hispanic