Public-good pages per 1,000 users
Facebook pages for community groups and public-good efforts, per thousand Facebook users. It is per user, not per resident.
How it has moved
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Every state, every year
Nothing to draw here: this measure has no state figures. Its publisher reports it for counties. This site does not add county numbers up into state figures, since a home-made figure could clash with one an agency publishes itself. The chart above covers the whole country, year by year.
Where it comes from
Social Capital Atlas · Opportunity Insights civic_organizations_county
Facebook Pages that a computer model judges to serve the public good, per thousand Facebook users in the county. It is a rate per user, not per resident, so it cannot be compared with a per-person figure. Time period: measured over Facebook users aged 25-44 in 2022, with noise added to protect privacy.
Combining areas: an average weighted by children with below-median parental income.
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 |
|---|---|---|
| Public-good pages per 1,000 users and Share aged 65 and overWhere Public-good pages per 1,000 users is higher, Share aged 65 and over 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. Share aged 65 and over by US county | +0.50 | +0.42 |
| Public-good pages per 1,000 users and Median ageWhere Public-good pages per 1,000 users is higher, Median age 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. Median age by US county | +0.43 | +0.40 |
| Public-good pages per 1,000 users and Share with a bachelor's degree or higherWhere Public-good pages per 1,000 users is higher, Share with a bachelor's degree or higher tends to be higher: a weak link that holds when only places with similar density, income and education are compared. Share with a bachelor's degree or higher by US county | +0.16 | +0.40 |
| Public-good pages per 1,000 users and Returns claiming the earned income creditWhere Public-good pages per 1,000 users is higher, Returns claiming the earned income credit 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. Returns claiming the earned income credit by US county | -0.34 | -0.32 |
| Public-good pages per 1,000 users and Vision disabilityWhere Public-good pages per 1,000 users is higher, Vision disability 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. Vision disability by US county | -0.28 | -0.31 |
| Public-good pages per 1,000 users and Net migration per 100 people stayingPoints one way across counties (+0.11) and the other across people (-0.06), when bigger places count for more: the average county and the average resident disagree. Net migration per 100 people staying by US county | +0.00 | +0.11 |
| Public-good pages per 1,000 users and Gini index of income inequalityPoints one way across counties (-0.07) and the other across people (+0.13), when bigger places count for more: the average county and the average resident disagree. Gini index of income inequality by US county | -0.02 | -0.07 |
| Public-good pages per 1,000 users and Mean adjusted gross income per returnPoints one way across counties (-0.04) and the other across people (+0.15), when bigger places count for more: the average county and the average resident disagree. Mean adjusted gross income per return by US county | +0.07 | -0.04 |
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 |
|---|---|---|
| Public-good pages per 1,000 users and Share White, not HispanicWhere Public-good pages per 1,000 users 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 | +0.28 | +0.26 |
| Public-good pages per 1,000 users and Share Black, not HispanicWhere Public-good pages per 1,000 users is higher, Share Black, 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 Black, not Hispanic by US county | -0.22 | -0.17 |
| Public-good pages per 1,000 users and Share Hispanic or Latino, any raceWhere Public-good pages per 1,000 users 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 | -0.17 | -0.21 |
| Public-good pages per 1,000 users 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 | -0.14 | -0.09 |
| Public-good pages per 1,000 users and Share American Indian or Alaska Native, not HispanicWhere Public-good pages per 1,000 users 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 | +0.02 | -0.18 |
Highest and lowest
Of 3,091 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
- Douglas County, MO — 0.195
- Bristol Bay Borough, AK — 0.12
- San Juan County, CO — 0.112
- Lewis County, ID — 0.106
- Alpine County, CA — 0.0828
Lowest
- Humphreys County, MS — 0.00349
- Winkler County, TX — 0.00361
- Jefferson County, MS — 0.00375
- Maverick County, TX — 0.00381
- Starr County, TX — 0.00414
The middle area reports 0.0178. The middle half of counties falls between 0.014 and 0.0231 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works