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.
How it has moved
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Every state, every year
One row per state and one column per year, sorted by the latest value. It shows states, not counties: nobody can scan 3,222 rows, and the pattern only shows when it all fits on one screen.
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Where it comes from
· Religion Census OTHRATE (2010, 2020)
Everything not Christian and not sorted elsewhere: Jewish, Muslim, Hindu, Buddhist, Latter-day Saints and more. So it is a leftover category, not a group with anything in common. The six groups add up to the published total. Adherents are counted where the congregation is, not where the member lives, and a denomination that did not report is absent rather than zero.
Combining areas: an average weighted by population, decennial census.
What it goes with
The strongest links that have a page of their own. Unadjusted is the link before adjusting for anything, from −1 (opposite) to +1 (in step). Adjusted compares places with the same population density, income and education levels, so those differences can’t explain the link. This list leaves out the 8 pairs built from the same numbers or the same model as this measure, since they are bound to match.
| Measure | Unadjusted | Adjusted |
|---|---|---|
| Other religion adherents and Local income tax collectedWhere Other religion adherents is higher, Local income tax collected tends to be higher: a moderate link that holds when only places with similar density, income and education are compared. Local income tax collected by US county | +0.64 | +0.48 |
| Other religion adherents and Taking blood pressure medicationWhere Other religion adherents is higher, Taking blood pressure medication tends to be lower: a weak link that holds when only places with similar density, income and education are compared. Taking blood pressure medication by US county | -0.36 | -0.32 |
| Other religion adherents and Incarceration ratePoints one way across counties (+0.08) and the other across people (-0.05), when bigger places count for more: the average county and the average resident disagree. Incarceration rate by US county | +0.00 | +0.08 |
Population makeup
How this measure varies with the racial and ethnic makeup of counties. Every group is shown, whatever its rank. These are links across counties: they describe places, not people. They say nothing about any person’s risk or behaviour based on their race. Counties with a larger share of one group also differ in much else, such as income, segregation, region and history. The adjusted figure only accounts for density, income and education.
| Share of residents | Unadjusted | Adjusted |
|---|---|---|
| Other religion adherents and Share White, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share White, not Hispanic by US county | -0.06 | -0.09 |
| Other religion adherents and Share Black, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share Black, not Hispanic by US county | -0.07 | -0.01 |
| Other religion adherents and Share Hispanic or Latino, any raceCould easily be chance once only places with similar density, income and education are compared. Share Hispanic or Latino, any race by US county | +0.10 | +0.09 |
| Other religion adherents and Share Asian, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share Asian, not Hispanic by US county | +0.09 | +0.05 |
| Other religion adherents and Share American Indian or Alaska Native, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share American Indian or Alaska Native, not Hispanic by US county | +0.01 | +0.01 |
Highest and lowest
Of 3,144 counties reporting it. These are the two ends of a national ranking. For most measures, that ranking mostly sorts places by income and how urban they are. That is why the place pages compare each place with similar places instead.
Highest
- Franklin County, ID — 114
- Rich County, UT — 110
- Garfield County, UT — 90.6
- Bear Lake County, ID — 87
- Morgan County, UT — 86.5
Lowest
The middle area reports 1.8. The middle half of counties falls between 0.63 and 3.4 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works