placestats

Local income tax collected and Other religion 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.

Where Local income tax collected is higher, Other religion adherents tends to be higher. The link is moderate: +0.48 across 554 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.

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

Local income tax collected

Income tax collected from people by every local government in the place (county, cities, townships, school districts), in thousands of dollars. For counties, it covers census years only (1967, 1972 ... 2022), when every government is counted.

Census local government finances · Census local government finances, item T40, every local government

Other religion adherents

Members of every group not counted in the other five, including Jewish, Muslim, Hindu, Buddhist, Latter-day Saints and more. It is a leftover group, so its members have little in common except not fitting the other five.

· Religion Census OTHRATE (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 local income tax collected

Local income tax collected, per 1,000 residentsOther religion adherents
Highest
New York County, NY4776.1719.7
District of Columbia, DC4637.857.04
Montgomery County, MD1844.679.78
Howard County, MD1808.515.65
Kings County, NY1509.5716.7
Lowest
Sedgwick County, KS0.013.41
Jasper County, MO0.013.33
Franklin County, MO0.012.05
Cole County, MO0.031.87
Dickinson County, KS0.050.5

By other religion adherents

Local income tax collected, per 1,000 residentsOther religion adherents
Highest
New York County, NY4776.1719.7
Kings County, NY1509.5716.7
Queens County, NY1354.2713.6
Caldwell County, MO0.1113.3
St. Louis city, MO637.0712.9
Lowest
Sullivan County, PA175.070
Montour County, PA602.850
Forest County, PA104.940
Cameron County, PA151.510
Wyandot County, OH722.840
States

By local income tax collected

Local income tax collected, per 1,000 residentsOther religion adherents
Highest
District of Columbia4535.487.04
Maryland1283.836.96
New York825.629.76
Ohio614.693.11
Pennsylvania501.203.58
Lowest
Kansas0.342.76
Alabama29.942.33
Iowa38.002.5
Michigan82.984.35
Missouri87.943.42

By other religion adherents

Local income tax collected, per 1,000 residentsOther religion adherents
Highest
New York825.629.76
District of Columbia4535.487.04
Maryland1283.836.96
Oregon92.036.38
Michigan82.984.35
Lowest
Kentucky430.372.12
Indiana175.272.3
Alabama29.942.33
Iowa38.002.5
Kansas0.342.76
Metro areas

By local income tax collected

Local income tax collected, per 1,000 residentsOther religion adherents
Highest
Baltimore-Columbia-Towson, MD1209.506.66
Lexington Park, MD1137.952.94
Easton, MD1071.603.15
Washington-Arlington-Alexandria, DC-VA-MD-WV1013.617.78
New York-Newark-Jersey City, NY-NJ879.9311.4
Lowest
Joplin, MO-KS0.003.14
Sikeston, MO0.041.33
Wichita, KS0.063.09
Ottawa, KS0.082.29
McPherson, KS0.100.33

By other religion adherents

Local income tax collected, per 1,000 residentsOther religion adherents
Highest
New York-Newark-Jersey City, NY-NJ879.9311.4
Washington-Arlington-Alexandria, DC-VA-MD-WV1013.617.78
Chicago-Naperville-Elgin, IL-IN16.447.6
Detroit-Warren-Dearborn, MI96.256.89
Baltimore-Columbia-Towson, MD1209.506.66
Lowest
Middlesborough, KY156.880
Greensburg, IN131.900
Auburn, IN0.610
Frankfort, IN3.540.01
Monticello, IN295.420.03

Counties furthest from the pattern

Compared with the straight line that best fits all 554 counties: the five with far more other religion adherents than their local income tax collected would suggest, and the five with far less.

Local income tax collected, per 1,000 residentsOther religion adherents
Above the line
Caldwell County, MO0.1113.3
Kings County, NY1509.5716.7
St. Louis city, MO637.0712.9
Baltimore city, MD850.8212.9
Queens County, NY1354.2713.6
Below the line
District of Columbia, DC4637.857.04
Queen Anne's County, MD1417.701.85
Wyandot County, OH722.840
Kent County, MD901.380.58
Caroline County, MD657.190.04

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+0.644554 counties reporting both
After adjusting for density, income and education+0.481the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.469size taken out as well as density
Also comparing only within each state+0.349each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.606the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 93 equally weighted counties
Middle value inside single states+0.459the link worked out inside each of 8 states with at least 20 counties reporting
Using ranks, after adjusting+0.010uses 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 = 3.4e-33. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 5.0e-8. 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 1.4e-32.

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 +0.13 (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 Local income tax collected and Other religion adherents