Gross domestic product
Gross domestic product: the value of everything produced in the area, in dollars of that year (not adjusted for inflation).
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
BEA Regional Accounts · BEA CAGDP2 line 1
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 5 pairs built from the same numbers or the same model as this measure, since they are bound to match.
| Measure | Unadjusted | Adjusted |
|---|---|---|
| Gross domestic product and Share foreign-bornWhere Gross domestic product 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 | +0.47 | +0.36 |
| Gross domestic product and Share Asian, not HispanicWhere Gross domestic product 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 | +0.48 | +0.34 |
| Gross domestic product and Threat of utility shut-offPoints one way across counties (+0.10) and the other across people (-0.15), when bigger places count for more: the average county and the average resident disagree. Threat of utility shut-off by US county | -0.09 | +0.10 |
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 |
|---|---|---|
| Gross domestic product and Share White, not HispanicWhere Gross domestic product 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 | -0.23 | -0.22 |
| Gross domestic product 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 | +0.05 |
| Gross domestic product and Share Hispanic or Latino, any raceWhere Gross domestic product 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 | +0.16 | +0.19 |
| Gross domestic product and Share Asian, not HispanicWhere Gross domestic product 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 | +0.48 | +0.34 |
| Gross domestic product 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 | -0.09 | +0.09 |
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 0.80, so the raw order would match almost every other count here. The published totals are in the table on each place page.
Highest
- Glasscock County, TX — 4.4m (4,659,300 total)
- McMullen County, TX — 3.2m (2,017,000 total)
- Martin County, TX — 2.8m (14,693,000 total)
- Upton County, TX — 2.3m (7,381,700 total)
- Culberson County, TX — 1.7m (3,750,800 total)
Lowest
- Carroll County, MS — 13,738 (135,020 total)
- Echols County, GA — 13,853 (51,324 total)
- Glascock County, GA — 14,046 (40,917 total)
- Elliott County, KY — 14,710 (107,910 total)
- Lincoln County, WV — 15,350 (309,600 total)
The middle area reports 54,526. The middle half of counties falls between 40,672 and 74,006 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works