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Look beyond openings. Compare the size and concentration of industries in US metropolitan areas, and the young adults who live there.

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Selected sectors are added, not averaged. These broad Census industries describe employers, not individual job titles.

The longer view · ACS annual estimates

San Jose-Sunnyvale-Santa Clara, CA Metro Area

Employment among residents aged 16+. Metro boundaries and industry definitions can change between releases.

Employed in selected industries

Share of resident employment

The 2020 gap is intentional: standard ACS 1-year estimates were not published. Lines do not bridge missing years. Year-to-year changes are descriptive, not statistically tested growth.

Annual figures & age profile

Year	Employed in selection	Share	Population	Aged 22–24	Aged 25–29
2010	155,223	18.1%	1,843,255	72,050	135,287
2011	162,581	18.4%	1,865,450	70,290	139,354
2012	167,120	18.4%	1,894,388	71,837	139,582
2013	175,198	18.7%	1,919,641	78,200	140,121
2014	176,492	18.1%	1,952,872	77,925	143,585
2015	193,113	19.4%	1,976,836	80,217	146,719
2016	214,213	21.3%	1,978,816	76,751	154,525
2017	217,348	20.9%	1,998,463	77,749	159,742
2018	217,458	20.8%	1,999,107	76,961	161,751
2019	234,004	22.3%	1,990,660	77,073	162,733
2021	214,942	21.6%	1,952,185	70,934	146,306
2022	229,957	22.4%	1,938,524	75,178	144,376
2023	234,641	22.4%	1,945,767	80,924	146,273
2024	255,202	24.0%	1,995,484	82,067	152,546

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Industry footprint by metro

Share is the percentage of all employed residents working in your selected industries. Concentration compares that share with the US average for the same year: 2× means twice the share, not twice your chance of a job.

Metropolitan area	Employed in selection	Industry share	US concentration	Residents 22–29
Weirton-Steubenville, WV-OH Metro Area	4,369± 1,170 MOE	8.7%	0.7×	9,335
Wichita, KS Metro Area	28,015± 3,385 MOE	8.7%	0.7×	75,578
Monroe, MI Metro Area	6,380± 1,519 MOE	8.7%	0.7×	14,186
Staunton-Stuarts Draft, VA Metro Area	5,692± 1,214 MOE	8.7%	0.7×	11,976
Scranton--Wilkes-Barre, PA Metro Area	23,540± 2,614 MOE	8.7%	0.7×	50,944
Bismarck, ND Metro Area	6,323± 1,618 MOE	8.7%	0.7×	14,469
Bakersfield-Delano, CA Metro Area	32,496± 3,027 MOE	8.7%	0.7×	100,822
Springfield, IL Metro Area	8,708± 1,545 MOE	8.7%	0.7×	19,452
Gadsden, AL Metro Area	3,863± 1,066 MOE	8.6%	0.7×	10,357
Elkhart-Goshen, IN Metro Area	8,603± 1,719 MOE	8.6%	0.7×	22,108
Racine-Mount Pleasant, WI Metro Area	8,290± 1,869 MOE	8.6%	0.7×	19,644
Minot, ND Metro Area	3,009± 1,050 MOE	8.6%	0.7×	10,690
Victoria, TX Metro Area	3,927± 1,311 MOE	8.5%	0.7×	11,071
Yakima, WA Metro Area	9,318± 1,680 MOE	8.5%	0.7×	27,866
Rockford, IL Metro Area	13,490± 2,058 MOE	8.5%	0.7×	33,119
Green Bay, WI Metro Area	14,861± 1,718 MOE	8.4%	0.7×	33,157
Burlington, NC Metro Area	7,610± 1,519 MOE	8.4%	0.7×	18,902
Laredo, TX Metro Area	10,649± 2,310 MOE	8.4%	0.7×	31,596
Pueblo, CO Metro Area	6,154± 1,779 MOE	8.4%	0.7×	17,477
Harrisonburg, VA Metro Area	5,808± 1,253 MOE	8.3%	0.6×	15,813
Lebanon, PA Metro Area	5,927± 1,378 MOE	8.3%	0.6×	12,694
Michigan City-La Porte, IN Metro Area	3,921± 998 MOE	8.3%	0.6×	10,316
Redding, CA Metro Area	6,583± 1,539 MOE	8.3%	0.6×	15,541
Alexandria, LA Metro Area	5,278± 1,288 MOE	8.3%	0.6×	14,539
Youngstown-Warren, OH Metro Area	15,526± 2,046 MOE	8.3%	0.6×	41,249
Helena, MT Metro Area	4,127± 1,154 MOE	8.2%	0.6×	6,942
Toledo, OH Metro Area	24,237± 2,184 MOE	8.2%	0.6×	64,211
Wheeling, WV-OH Metro Area	4,959± 1,181 MOE	8.2%	0.6×	11,287
Bangor, ME Metro Area	6,302± 1,265 MOE	8.2%	0.6×	14,765
Bloomington, IL Metro Area	7,336± 1,190 MOE	8.2%	0.6×	21,318

Definitions & source

US Census Bureau, American Community Survey 1-year estimates, DP03 and B01001. Counts cover civilian employed residents aged 16 and over, including people who commute elsewhere. They are not local workplace job counts or job vacancies. No career seniority breakdown is available in these tables.

Ages 22–24 and 25–29 are published bands; we do not estimate an exact 22–26 group. MOEs are 90% margins of error; combined counts use the Census square-root-of-summed-squares approximation. Small differences may be sampling noise. Historical boundaries and classifications are not harmonized.

Census ACS source ↗