placestats

Share with a bachelor's degree or higher and Catholic adherents

A county is not a congregation. Counties where more people are counted as adherents (members of a religious group) also tend to differ on the other measure, and that is all. It does not follow that the adherents are the people with the different score. Making that leap is called the ecological fallacy: reading a pattern across places as a fact about individual people. It is as easy to fall into here as with the voting pairs. Two things about the counting matter too. Adherents are counted where their congregation meets, not where they live, so thirty very small counties exceed 100%. And a denomination that did not report is missing, not zero. That undercounts membership most where churches are least formally organised.

Counting counties equally, Share with a bachelor's degree or higher and Catholic adherents have a link of +0.09 across 3,121 counties, on a scale from −1 to +1. Giving bigger places more weight asks about the average resident rather than the average place, and it flips the link to -0.14. Neither figure is likely to be chance. So this is a real disagreement about who is being described.

Flips when bigger places count more

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.

Loading every place…

What each measure is

Share with a bachelor's degree or higher

The percentage of adults aged 25 and over who have at least a bachelor's degree. It counts degrees people already have, not people who are in college now.

Census ACS 5-year · ACS table B15003_022…B15003_025 (4 cells), divided by population aged 25 and over

Catholic adherents

Catholic members as a share of the population. They are counted from church records kept by each diocese, which makes this one of the study's most complete figures.

· Religion Census CATHRATE (2010, 2020)

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 with a bachelor's degree or higher

Share with a bachelor's degree or higherCatholic adherents
Highest
Falls Church city, VA79.7%54.3
Arlington County, VA77.1%15.7
Los Alamos County, NM68.2%21.4
Alexandria city, VA65.8%10.5
San Miguel County, CO65.2%9.53
Lowest
Loving County, TX0%0
McDowell County, WV5.75%1.52
Elliott County, KY6.22%0
Newton County, TX6.23%1.23
Lee County, AR6.87%0.23

By catholic adherents

Share with a bachelor's degree or higherCatholic adherents
Highest
St. James Parish, LA20.2%95.8
Jim Hogg County, TX19%87.5
Zavala County, TX9.55%83.8
Lyman County, SD25.3%83.5
Emmons County, ND20.7%81.6
Lowest
Kiowa County, CO20.6%0
Hinsdale County, CO47.1%0
Alpine County, CA42.1%0
Searcy County, AR13.7%0
Newton County, AR14.3%0
States

By share with a bachelor's degree or higher

Share with a bachelor's degree or higherCatholic adherents
Highest
District of Columbia63.6%11.8
Massachusetts46.6%35.5
Colorado44.7%15.1
New Jersey42.9%32
Maryland42.7%14.7
Lowest
West Virginia23.3%5.62
Mississippi24.2%3.37
Arkansas25.1%5.09
Louisiana26.6%26.8
Kentucky27%7.86

By catholic adherents

Share with a bachelor's degree or higherCatholic adherents
Highest
Rhode Island37.3%40.6
Massachusetts46.6%35.5
New Jersey42.9%32
New York39.5%30.6
New Mexico30.2%29.9
Lowest
Mississippi24.2%3.37
Tennessee30.4%3.99
Alabama27.8%4.97
Arkansas25.1%5.09
Alaska31.2%5.49
Metro areas

By share with a bachelor's degree or higher

Share with a bachelor's degree or higherCatholic adherents
Highest
Los Alamos, NM68.2%21.4
Boulder, CO63.9%16
Ithaca, NY59.3%6.86
Nantucket, MA58.4%22.6
Ann Arbor, MI58.1%9.66
Lowest
Town of Pecos, TX6.87%7.87
Summerville, GA10.7%8.39
Arcadia, FL11%5.64
Eufaula, AL-GA11.3%8.57
Clewiston, FL11.3%14.7

By catholic adherents

Share with a bachelor's degree or higherCatholic adherents
Highest
Nogales, AZ24.1%78.7
Rio Grande City-Roma, TX13.3%77
El Centro, CA16.1%75.4
Las Vegas, NM26.1%74.8
Taos, NM37.1%66.4
Lowest
Forrest City, AR12.9%0.28
Athens, TN16.4%0.371
Malvern, AR15.8%0.38
Pine Bluff, AR20.2%0.387
Pikeville, KY15.7%0.463
Cities and towns — Catholic adherents is not published for cities and towns

By share with a bachelor's degree or higher

Share with a bachelor's degree or higherCatholic adherents
Highest
University at Buffalo CDP, NY97.3%—
Stanford CDP, CA91.1%—
Scarsdale village, NY90.7%—
West University Place city, TX90.5%—
University Park city, TX90.4%—
Lowest
Binghamton University CDP, NY0%—
Corcoran city, CA3.16%—
McFarland city, CA4.11%—
Mecca CDP, CA4.26%—
Good Hope CDP, CA4.28%—
ZIP codes — Catholic adherents is not published for ZIP codes

By share with a bachelor's degree or higher

Share with a bachelor's degree or higherCatholic adherents
Highest
ZIP 19383 (Chester County, PA)98.6%—
ZIP 02210 (Boston city, MA)93.1%—
ZIP 53726 (Madison city, WI)91.8%—
ZIP 60654 (Chicago city, IL)91.8%—
ZIP 10069 (New York city, NY)91%—
Lowest
ZIP 36849 (Auburn city, AL)0%—
ZIP 13902 (Binghamton University CDP, NY)0%—
ZIP 92254 (Riverside County, CA)3.03%—
ZIP 89070 (Clark County, NV)3.45%—
ZIP 73108 (Oklahoma City city, OK)3.61%—

Counties furthest from the pattern

Compared with the straight line that best fits all 3,130 counties: the five with far more catholic adherents than their share with a bachelor's degree or higher would suggest, and the five with far less.

Share with a bachelor's degree or higherCatholic adherents
Above the line
St. James Parish, LA20.2%95.8
Jim Hogg County, TX19%87.5
Zavala County, TX9.55%83.8
Lyman County, SD25.3%83.5
Emmons County, ND20.7%81.6
Below the line
Oconee County, GA54.9%0.18
Clear Creek County, CO56.3%0.92
Albemarle County, VA60.6%3.34
Williamsburg city, VA48.5%0
Hinsdale County, CO47.1%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+0.2543,121 counties reporting both
After adjusting for density, income and education+0.086the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.072size taken out as well as density
Also comparing only within each state+0.033each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight-0.142the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 287 equally weighted counties
Middle value inside single states+0.323the link worked out inside each of 40 states with at least 20 counties reporting
Using ranks, after adjusting+0.200uses 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-6. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.048. 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 3.1e-6.

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 +0.49 (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

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 with a bachelor's degree or higher and Catholic adherents