Northern Utah’s Job Market
Some 3,506,838 residents, or nearly 75% of Utah’s population, lives within a narrow metropolitan region that stretches from the southern end of Utah County north to Brigham City, in Box Elder County. Davis and Weber Counties are the two most populace counties on the north end of this metropolitan region; these two counties account for 649,954, which is 18.5% of Utah’s population.
Job growth in Northern Utah is more than double the national average. With average wages below the national average and labor force participation rate above the national average, the Northern Utah region is one of the strongest, hardest-working economies in the nation.
Source: Utah Population Committee, Kem C. Gardner Policy Institute

Employment Density
Every region has industry expertise—Northern Utah has many. With legacy industries such as aerospace and manufacturing, to innovative advanced composites and outdoor products industries, to an emerging financial services and tech presence, Northern Utah has the labor and supply chain you need.
TOTAL EMPLOYMENT BY INDUSTRY

Source: JobsEQ, Data as of 2023Q3
Wage Comparisons
Everyone needs labor and Northern Utah makes hiring employees easy. With wages below the national average and a well-educated workforce, this region brings motivated and educated employees to a diverse group of employers.
Metropolitan Wage Comparison
Wage comparisons in some key industries in competitive markets. Northern Utah has the same talent and skill as larger markets, we’re just more affordable.
HOUSEHOLD MEDIAN INCOME (DOLLARS)

Source: ACS 2022 5-year estimates
Employee Characteristics
Young, educated, and affordable. The rest is in the details.
Age
Northern Utah has more people in the left boxes and fewer in the right boxes. What does that mean? Our region is young. Which means a well-trained workforce for today, and a strong pipeline for tomorrow.
GENDER & AGE DEMOGRAPHICS — NORTHERN UTAH

Source: ACS 2023 1-year estimates data profiles
Educational Attainment
The middle bars and the biggest. It’s true, our PhD population is not quite as large as LA, but if need employees to work, we have the right mix of trade, professional, and a whole lot of grit.
EDUCATIONAL ATTAINMENT

Source: ACS 2022 1-year summary, table B15002
Commuting Flows & Patterns
| COMMUTING FLOWS FOR WEBER-DAVIS AREA—2019 | |||||
|---|---|---|---|---|---|
| Group | Outflow | Internal Remote | Internal Commuting | Inflow | |
| Age | Age 16-38 | 34,101 | 8,980 | 116,063 | 11,103 |
| Age 39+ | 37,486 | 13,538 | 100,095 | 12,213 | |
| Industry | Goods | 14,744 | 3,333 | 43,423 | 7,860 |
| Services | 56,843 | 19,185 | 172,735 | 15,456 | |
| Wages | $0-$40,000 | 21,543 | 10,332 | 109,240 | 7,722 |
| $40,001+ | 50,044 | 12,186 | 106,918 | 15,594 | |
| TOTAL | 71,587 | 22,518 | 216,158 | 23,316 | |
Source: Kem C. Gardner Policy Institute analysis of U.S. Census Bureau, 2019 American Community Survey 1-year Public Use Microdata Sample data
| COMMUTING FLOWS FOR WEBER-DAVIS AREA—2022 | |||||
|---|---|---|---|---|---|
| Group | Outflow | Internal Remote | Internal Commuting | Inflow | |
| Age | Age 16-38 | 26,708 | 23,938 | 110,791 | 12,614 |
| Age 39+ | 34,772 | 38,726 | 93,164 | 15,412 | |
| Industry | Goods | 16,288 | 9,841 | 43,242 | 8,388 |
| Services | 45,192 | 52,823 | 160,713 | 19,638 | |
| Wages | $0-$40,000 | 21,141 | 25,281 | 112,429 | 12,137 |
| $40,001+ | 40,339 | 37,383 | 91,526 | 15,889 | |
| TOTAL | 61,480 | 62,664 | 203,955 | 28,026 | |
Source: Kem C. Gardner Policy Institute analysis of U.S. Census Bureau, 2022 American Community Survey 1-year Public Use Microdata Sample data
Technical Note: The age and earnings groups shown in the tables above are based on the median age of workers in 2019 (38) and median worker earnings in 2019, expressed in 2022 dollars, rounded to the nearest ten thousand. (Exact median worker earnings in 2019, expressed in 2022 dollars, is $43,500.) Estimates shown in the tables above are based on a survey sample of Davis and Weber counties. The precision of these estimates is measured by their standard error. For the estimates shown in these tables, standard errors range from 2.5% to 15.8% of the estimates themselves. In general, this range indicates these estimates have reasonably high precision.




