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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
Hammond, LA Metro Area	6,014± 1,548 MOE	9.2%	0.7×	13,931
Auburn-Opelika, AL Metro Area	9,359± 1,734 MOE	9.2%	0.7×	22,655
Hattiesburg, MS Metro Area	6,801± 1,675 MOE	9.2%	0.7×	20,119
Albany, GA Metro Area	5,713± 1,197 MOE	9.2%	0.7×	13,599
Mobile, AL Metro Area	16,970± 2,349 MOE	9.2%	0.7×	42,674
McAllen-Edinburg-Mission, TX Metro Area	35,482± 3,653 MOE	9.1%	0.7×	110,590
Fort Wayne, IN Metro Area	21,654± 2,292 MOE	9.1%	0.7×	49,934
Chambersburg, PA Metro Area	7,278± 1,501 MOE	9.1%	0.7×	14,726
Iowa City, IA Metro Area	9,216± 1,519 MOE	9.1%	0.7×	26,784
Lawton, OK Metro Area	4,365± 751 MOE	9.1%	0.7×	14,606
Battle Creek, MI Metro Area	5,722± 1,285 MOE	9.1%	0.7×	12,329
Merced, CA Metro Area	11,279± 2,064 MOE	9.0%	0.7×	33,423
Utica-Rome, NY Metro Area	11,872± 1,784 MOE	9.0%	0.7×	27,356
Sioux Falls, SD-MN Metro Area	15,535± 2,195 MOE	9.0%	0.7×	33,437
Oshkosh-Neenah, WI Metro Area	8,053± 1,264 MOE	8.9%	0.7×	18,891
Modesto, CA Metro Area	21,807± 2,930 MOE	8.9%	0.7×	60,260
Waco, TX Metro Area	12,909± 2,537 MOE	8.9%	0.7×	33,262
Rocky Mount, NC Metro Area	5,921± 1,562 MOE	8.9%	0.7×	14,834
Fresno, CA Metro Area	45,653± 4,288 MOE	8.9%	0.7×	129,264
Columbia, MO Metro Area	10,243± 1,473 MOE	8.9%	0.7×	29,587
Springfield, OH Metro Area	5,264± 1,255 MOE	8.9%	0.7×	12,647
Salem, OR Metro Area	18,518± 2,373 MOE	8.9%	0.7×	48,297
Canton-Massillon, OH Metro Area	16,971± 2,096 MOE	8.8%	0.7×	37,916
Fort Smith, AR-OK Metro Area	9,345± 1,695 MOE	8.8%	0.7×	23,071
Saginaw, MI Metro Area	7,624± 1,677 MOE	8.8%	0.7×	18,470
Clarksville, TN-KY Metro Area	13,032± 2,072 MOE	8.8%	0.7×	47,126
Altoona, PA Metro Area	5,102± 1,091 MOE	8.8%	0.7×	10,365
Amarillo, TX Metro Area	12,000± 1,970 MOE	8.7%	0.7×	29,346
South Bend-Mishawaka, IN-MI Metro Area	13,474± 1,988 MOE	8.7%	0.7×	33,440
Gulfport-Biloxi, MS Metro Area	16,420± 1,985 MOE	8.7%	0.7×	39,832

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 ↗