Children in the mobility cohort
The number of children the upward-mobility figures are based on.
Reported for3,136areas, in 51 states — none in PR
Link to density0.81mostly 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
Loading…
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
Opportunity Atlas · Opportunity Insights pooled_pooled_count
The number of children the mobility measures are worked out over. When areas are combined, each gets weight by this number. Time period: measured around 2015 for children born 1978-1983 who grew up in this county; most no longer live there.
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 in the mobility cohort and Share foreign-bornWhere Children in the mobility cohort 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 in the mobility cohort and Share White, not HispanicWhere Children in the mobility cohort 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 | -0.22 |
| Children in the mobility cohort 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 | +0.05 | +0.02 |
| Children in the mobility cohort and Share Hispanic or Latino, any raceWhere Children in the mobility cohort 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 in the mobility cohort and Share Asian, not HispanicWhere Children in the mobility cohort 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 in the mobility cohort 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 | +0.07 |
Highest and lowest, per 1,000 residents
Of 3,135 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 0.81, 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)
- Issaquena County, MS — 421.64 (462 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 124.60. The middle half of counties falls between 92.26 and 160.71 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works