Private job growth
The percentage change in private-sector jobs from the year before.
Reported for3,212areas, in 52 states
Link to density0.07not mostly about how urban a place is
Nearby places alike0.01Moran’s I: only weakly, little map pattern
Typerate% a year
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
BLS Quarterly Census of Employment and Wages · BLS QCEW annual averages, private, all industries, change in annual_avg_emplvl
Change in the yearly average number of private jobs from the year before.
Combining areas: an average weighted by private jobs.
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 |
|---|---|---|
| Private job growth and Frequent mental distressPoints one way across counties (+0.06) and the other across people (-0.14), when bigger places count for more: the average county and the average resident disagree. Frequent mental distress by US county | -0.00 | +0.06 |
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 |
|---|---|---|
| Private job growth and Share White, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share White, not Hispanic by US county | +0.00 | -0.00 |
| Private job growth 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 | -0.01 |
| Private job growth and Share Hispanic or Latino, any raceCould easily be chance once only places with similar density, income and education are compared. Share Hispanic or Latino, any race by US county | +0.02 | +0.04 |
| Private job growth 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 | +0.02 | -0.05 |
| Private job growth 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 | +0.04 | +0.05 |
Highest and lowest
Of 3,212 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
- Prairie County, MT — 112
- Washington County, AL — 99.8
- Schuyler County, MO — 65.4
- Calhoun County, AR — 63.6
- Upton County, TX — 51.1
Lowest
- Cimarron County, OK — -30.5
- Lynn County, TX — -29.8
- Mineral County, NV — -29
- Haskell County, TX — -28.9
- Loup County, NE — -28.6
The middle area reports 1.69. The middle half of counties falls between -0.0651 and 3.59 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works