Economic connectedness in high school
How many of a low-income teenager's high school friends are high-income, compared with an even mix. It is counted in the county of the school, not where the person lives as an adult, so it describes where people grew up.
Reported for2,731areas, in 51 states — none in PR
Link to density0.25not mostly about how urban a place is
Nearby places alike0.58Moran’s I: strongly, neighbouring places tend to be similar
Typerateratio
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 child_ec_county
The same measure, worked out over high-school friendships and assigned to the county of the school. So it describes where people grew up, not where they live now. 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 |
|---|---|---|
| Economic connectedness in high school and Median household incomeWhere Economic connectedness in high school is higher, Median household income 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. Median household income by US county | +0.78 | +0.62 |
| Economic connectedness in high school and Local income tax collectedWhere Economic connectedness in high school is higher, Local income tax collected tends to be lower: a weak link that holds when only places with similar density, income and education are compared. Local income tax collected by US county | +0.05 | -0.31 |
| Economic connectedness in high school and Cognitive disabilityLinked across counties, but mostly as both follow how urban, rich and educated a place is. Comparing only places with similar density, income and education, a weak link of -0.31 remains. Cognitive disability by US county | -0.73 | -0.31 |
| Economic connectedness in high school and Safety scoreLinked across counties, but mostly as both follow how urban, rich and educated a place is. Comparing only places with similar density, income and education, a weak link of +0.30 remains. Safety score by US county | +0.63 | +0.30 |
| Economic connectedness in high school and Chronic obstructive pulmonary diseaseLinked across counties, but mostly as both follow how urban, rich and educated a place is. Comparing only places with similar density, income and education, a weak link of -0.26 remains. Chronic obstructive pulmonary disease by US county | -0.74 | -0.26 |
| Economic connectedness in high school and Injury deathsLinked across counties, but mostly as both follow how urban, rich and educated a place is. Comparing only places with similar density, income and education, a weak link of -0.26 remains. Injury deaths by US county | -0.52 | -0.26 |
| Economic connectedness in high school and Median home valueLinked across counties, but mostly as both follow how urban, rich and educated a place is. Comparing only places with similar density, income and education, a weak link of -0.25 remains. Median home value by US county | +0.51 | -0.25 |
| Economic connectedness in high school and Any disabilityLinked across counties, but mostly as both follow how urban, rich and educated a place is. Comparing only places with similar density, income and education, a weak link of -0.25 remains. Any disability by US county | -0.71 | -0.25 |
| Economic connectedness in high school and Independent-living disabilityLinked across counties, but mostly as both follow how urban, rich and educated a place is. Comparing only places with similar density, income and education, a weak link of -0.24 remains. Independent-living disability by US county | -0.73 | -0.24 |
| Economic connectedness in high school and Frequent mental distressLinked across counties, but mostly as both follow how urban, rich and educated a place is. Comparing only places with similar density, income and education, a weak link of -0.24 remains. Frequent mental distress by US county | -0.67 | -0.24 |
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.
Highest and lowest
Of 2,731 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
- Calvert County, MD — 1.61
- Hunterdon County, NJ — 1.58
- Howard County, MD — 1.56
- Loudoun County, VA — 1.55
- Stafford County, VA — 1.53
Lowest
- Magoffin County, KY — 0.222
- Leslie County, KY — 0.229
- Breathitt County, KY — 0.249
- Knox County, KY — 0.257
- McCreary County, KY — 0.265
The middle area reports 0.816. The middle half of counties falls between 0.679 and 0.963 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works