Membership organisations
Membership groups per 10,000 people, such as churches, clubs, unions and sports leagues. They are counted from the government's list of businesses and organizations.
Reported for3,144areas, in 51 states — none in PR
Link to density0.15not mostly about how urban a place is
Nearby places alike0.39Moran’s I: strongly, neighbouring places tend to be similar
Typerateper 10,000 people
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
County Health Rankings · County Health Rankings v140
University of Wisconsin · 13 releases, 2013–2025; each value filed under the last year its data covers, 2010–2023 · 95% likely ranges, converted to 90%; figures based on small counts are withheld
Civic, religious, sports and political organisations, counted from the official register of businesses. Source: County Health Rankings, which compiles each measure from its own source and filed here under the last year of the period it covers.
Combining areas: an average weighted by population.
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 1 pairs built from the same numbers or the same model as this measure, since they are bound to match.
| Measure | Unadjusted | Adjusted |
|---|---|---|
| Membership organisations and Mainline Protestant adherentsWhere Membership organisations is higher, Mainline Protestant adherents tends to be higher: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Mainline Protestant adherents by US county | +0.54 | +0.54 |
| Membership organisations and Frequent physical distressWhere Membership organisations is higher, Frequent physical distress tends to be lower: a weak link that holds when only places with similar density, income and education are compared. Frequent physical distress by US county | -0.17 | -0.36 |
| Membership organisations and Returns reporting capital gainsWhere Membership organisations is higher, Returns reporting capital gains tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Returns reporting capital gains by US county | +0.23 | +0.33 |
| Membership organisations and Median gross rentWhere Membership organisations is higher, Median gross rent tends to be lower: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Median gross rent by US county | -0.25 | -0.31 |
| Membership organisations and Adult income rank of children raised poor hereWhere Membership organisations is higher, Adult income rank of children raised poor here tends to be higher: a weak link that holds when only places with similar density, income and education are compared. Adult income rank of children raised poor here by US county | +0.28 | +0.31 |
| Membership organisations and Congregations per 10,000 peopleWhere Membership organisations is higher, Congregations per 10,000 people tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Congregations per 10,000 people by US county | +0.30 | +0.30 |
| Membership organisations and Premature mortalityPoints one way across counties (-0.17) and the other across people (+0.18), when bigger places count for more: the average county and the average resident disagree. Premature mortality by US county | -0.10 | -0.17 |
| Membership organisations and Drug overdose deathsPoints one way across counties (-0.12) and the other across people (+0.19), when bigger places count for more: the average county and the average resident disagree. Drug overdose deaths by US county | -0.06 | -0.12 |
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 |
|---|---|---|
| Membership organisations and Share White, not HispanicWhere Membership organisations is higher, Share White, not Hispanic tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share White, not Hispanic by US county | +0.23 | +0.22 |
| Membership organisations 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 | -0.03 | -0.06 |
| Membership organisations and Share Hispanic or Latino, any raceWhere Membership organisations is higher, Share Hispanic or Latino, any race tends to be lower: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share Hispanic or Latino, any race by US county | -0.21 | -0.21 |
| Membership organisations and Share Asian, not HispanicWhere Membership organisations is higher, Share Asian, not Hispanic tends to be lower: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share Asian, not Hispanic by US county | -0.15 | -0.11 |
| Membership organisations and Share American Indian or Alaska Native, not HispanicWhere Membership organisations is higher, Share American Indian or Alaska Native, not Hispanic tends to be lower: a weak link that holds when only places with similar density, income and education are compared. Share American Indian or Alaska Native, not Hispanic by US county | -0.13 | -0.19 |
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
- Thomas County, NE — 59.6
- Griggs County, ND — 53.3
- Comanche County, KS — 47.6
- Sheridan County, ND — 46.3
- Campbell County, SD — 44.5
Lowest
The middle area reports 10.7. The middle half of counties falls between 7.87 and 14.1 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works