Children with below-median parental income
The number of children whose parents earned less than the middle income. The connectedness figures are measured over this group.
Reported for3,089areas, in 51 states — none in PR
Link to density0.82mostly reflects how urban a place is
Nearby places alike0.24Moran’s I: only weakly, little map pattern
Typecountcounts rise and fall together from size alone
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 num_below_p50
The population the connectedness measures are worked out over. It is not a Facebook figure. The atlas takes it from the Opportunity Atlas, the same source as the mobility measures here. Time period: measured over Facebook users aged 25-44 in 2022, with noise added to protect privacy.
Combining areas: added up across areas.
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 |
|---|---|---|
| Children with below-median parental income and Share foreign-bornWhere Children with below-median parental income is higher, Share foreign-born 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 foreign-born by US county | +0.41 | +0.35 |
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 |
|---|---|---|
| Children with below-median parental income and Share White, not HispanicWhere Children with below-median parental income is higher, Share White, 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 White, not Hispanic by US county | -0.26 | -0.23 |
| Children with below-median parental income 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 | +0.06 | +0.02 |
| Children with below-median parental income and Share Hispanic or Latino, any raceWhere Children with below-median parental income is higher, Share Hispanic or Latino, any race 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 Hispanic or Latino, any race by US county | +0.20 | +0.23 |
| Children with below-median parental income and Share Asian, not HispanicWhere Children with below-median parental income is higher, Share Asian, 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 Asian, not Hispanic by US county | +0.33 | +0.24 |
| Children with below-median parental income 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 | -0.07 | +0.08 |
Highest and lowest, per 1,000 residents
Of 3,089 counties reporting it. This is a count, so it is ranked per 1,000 residents, not as published. Ranked by raw totals, it would just list the largest counties in the country. Its link to population is 0.82, so the raw order would match almost every other count here. The published totals are in the table on each place page.
Highest
- Lake and Peninsula Borough, AK — 503.54 (507 total)
- Sharkey County, MS — 472.38 (1,818 total)
- Quitman County, MS — 461.88 (2,729 total)
- Phillips County, AR — 425.50 (6,770 total)
- Humphreys County, MS — 414.20 (3,136 total)
Lowest
- Douglas County, CO — 21.07 (7,761 total)
- Kendall County, IL — 22.09 (2,984 total)
- Loudoun County, VA — 25.03 (10,689 total)
- Hamilton County, IN — 25.67 (9,167 total)
- Denali Borough, AK — 25.78 (52 total)
The middle area reports 124.35. The middle half of counties falls between 92.24 and 160.15 (the 25th to 75th percentile).
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