ExecutivePulse
Official Federal Data

Santa Clara County, California

FIPS 06085 · San Jose-Sunnyvale-Santa Clara, CA · Population 1,902,047
9 Sources Updated June 22, 2026
$164,281
Median Income
$80,734 national
4.3%
Unemployment
4% national
$438.5B
GDP
56.5%
Bachelor's+
35.7% national

Demographics & Population

Census Bureau American Community Survey 2020-2024 · 5-Year Estimates

Household Income

Source: U.S. Census Bureau · American Community Survey 2020-2024 5-Year Estimates
Median Household
$164,281
Per Capita
$80,312
Mean Household
$227,007
Poverty Rate
7.1%
Median Income Comparison
Santa Clara County$164,281
California$99,122
National$80,734

Population Profile

Source: Census Bureau ACS 2020-2024 · Tables B01001, B02001, B03003
65+: 14.8% (282,010 residents) 55-64: 12.1% (230,131 residents) 35-54: 27.8% (528,614 residents) 18-34: 24.8% (471,216 residents) Under 18: 20.5% (390,076 residents) 38 Median Age
Cohorts
Under 18 · 20.5%
18-34 · 24.8%
35-54 · 27.8%
55-64 · 12.1%
65+ · 14.8%
Race & Ethnicity
White29.9%
Black or African American2.3%
Asian40.5%
Hispanic or Latino(any race)25%
Hispanic or Latino is an ethnic category and overlaps with the race categories above.

Educational Attainment

Source: Census Bureau ACS 2020-2024 · Table B15003 · Population 25+
89.3%
High School+
National: 89.6%
▼ 0.3 pts
56.5%
Bachelor's+
National: 35.7%
▲ +20.8 pts
28.3%
Graduate+
National: 14.1%
▲ +14.2 pts

Employment Overview

Source: U.S. Census Bureau · American Community Survey 2020-2024 5-Year Estimates
1,902,047
Population
1,051,688
Labor Force
Employed
999,346
Unemployment Rate BLS LAUS 2025 annual
4.3% ▲ +0.2 pts YoY
Mean Commute
26.2 min
Work From Home vs 15.1% national
23.9%
Key Takeaways
  • Income premium: Households earn well above the national median, supporting strong retail and housing markets.
  • Talent advantage: Bachelor's-or-higher attainment exceeds the national average by 20.8 pts, supports knowledge-economy and tech attraction.

Economy & Industry

Bureau of Labor Statistics QCEW · Bureau of Economic Analysis

$438.5B
Gross Domestic Product · 2024
Source: Bureau of Economic Analysis · CAGDP1 Regional GDP

Top Industries by Employment

Source: Bureau of Labor Statistics · Quarterly Census of Employment & Wages 2025 Annual
Top industries by employment in Santa Clara County, California, with employment, share of top sectors, and average wage
IndustryEmploymentShare of Top 10Avg Wage
1Health Care and Social Assistance
157,557 17.6%
$88,897
2Professional, Scientific, and Technical Services
154,901 17.3%
$315,876
3Manufacturing
124,551 13.9%
$353,350
4Information
92,830 10.4%
$548,165
5Accommodation and Food Services
83,166 9.3%
$40,624
6Retail Trade
70,511 7.9%
$65,502
7Management of Companies and Enterprises
58,903 6.6%
$466,427
8Administrative and Support and Waste Management
56,237 6.3%
$76,136
9Construction
50,659 5.7%
$122,700
10Educational Services
45,207 5.1%
$114,142
Track industry shifts with AI

ExecutivePulse monitors WARN notices, BLS changes, and SEC filings for your top employers.

Learn More
Key Takeaways
  • Largest sector: Health Care and Social Assistance employs 157,557 workers (17.6% of tracked sectors), at an average wage of $88,897.
  • Economic scale: Regional GDP of $438.5B (2024).
  • Wage stratification: Information averages $548,165 while Accommodation and Food Services averages $40,624, a 13.5x spread in the same local economy, with implications for workforce development and talent strategy.
Source: BLS QCEW + BEA Regional GDP.
Seeing a change here?

EP customers get year-over-year deltas, WARN notices, and SEC filings for every sector tracked above, surfaced as proactive alerts, not after-the-fact news.

Get Deeper Trends

Industry Concentration

Location Quotient measures regional specialization vs. national average. LQ > 1.0 = concentrated.

Location Quotient Analysis

Concentrated Industries
Source: BLS QCEW · 3-digit NAICS sub-sector · Location Quotient vs. national employment share
Same source as the Top Industries table above, sub-sector view surfaces the specialization the supersector view masks (e.g., Plastics & Rubber Manufacturing inside the Manufacturing supersector).
Computer and Electronic Product Manufacturing
10.61x
76,169
Publishing Industries and Telecommunications
4.99x
32,123
Computing Infrastructure Providers and Data Processing
4.19x
14,596
Management of Companies and Enterprises
3.15x
58,903
Internet Publishing and Broadcasting
2.10x
5,102
Professional, Scientific, and Technical Services
2.01x
154,901
Lessors of Nonfinancial Intangible Assets
2.00x
315
Educational Services
1.94x
45,207
Electrical Equipment, Appliance Manufacturing
1.58x
4,929
Private Households
1.54x
2,267

Cluster Depth

Source: BLS QCEW · Sub-sectors with LQ ≥ 1.5 indicate genuine cluster concentration
Dominant Cluster
Professional, Scientific & Technical Services Cluster
Coherent grouping of concentrated sub-sectors, signals supply-chain fit for site selectors
154,901
Cluster Employment
2.01x
Peak LQ
Concentrated Sub-Sectors
Computer and Electronic Product Manufacturing
10.61x 76,169
Publishing Industries and Telecommunications
4.99x 32,123
Computing Infrastructure Providers and Data Processing
4.19x 14,596
Management of Companies and Enterprises
3.15x 58,903
Internet Publishing and Broadcasting
2.10x 5,102
Professional, Scientific, and Technical Services
2.01x 154,901
Lessors of Nonfinancial Intangible Assets
2.00x 315
Educational Services
1.94x 45,207
Electrical Equipment, Appliance Manufacturing
1.58x 4,929
Private Households
1.54x 2,267

Attraction Opportunities

LQ < 0.5 with ≥ 50 employed, realistic diversification targets. Source: BLS QCEW
0.03x
Plastics and Rubber Products Manufacturing
165 employed
0.04x
Primary Metal Manufacturing
116 employed
0.09x
Warehousing and Storage
1,203 employed
0.15x
Wood Product Manufacturing
446 employed
0.15x
Paper Manufacturing
374 employed
0.21x
Insurance Carriers and Related Activities
3,949 employed
0.23x
Air Transportation
937 employed
Key Takeaways
  • Top specialization: Computer and Electronic Product Manufacturing concentrates at 10.61x the national norm, top-decile concentration, the kind of signature sector that defines a region's economic identity to site selectors.
  • Cluster depth: 10 sub-sectors register LQ ≥ 1.5, suggesting an interconnected industrial base rather than reliance on a single employer or sector.
  • Attraction whitespace: 8 sub-sectors register LQ < 0.5, candidates for diversification or recruitment depending on labor-market fit.
Source: BLS QCEW sub-sector Location Quotients.
Santa Clara County's Top Sectors by Workforce Share
Each rectangle's area is proportional to that sector's share of total private-sector employment across all NAICS supersectors. Hover for exact employment.
Source: Bureau of Labor Statistics QCEW 2025 Annual · Private sector, NAICS supersectors

Housing & Affordability

Census ACS · HUD Fair Market Rents FY2026

Housing Overview

Source: Census Bureau ACS 2020-2024 5-Year Estimates · Tables B25001, B25077, B25064
$1,490,600
Median Home Value vs 2019
$2,857
Rent/Mo
55.1%
Owner-Occ
5.6%
Vacancy
9.1x
Home Value to Income Ratio - Stretched
vs. ~4.1x national average

HUD Fair Market Rents

Source: HUD · Fair Market Rents FY2026
Studio
$2,621/mo
1 Bedroom
$2,982/mo
2 Bedroom
$3,483/mo
3 Bedroom
$4,602/mo
4 Bedroom
$5,010/mo
30% of monthly median household income (~$4,107/mo) · rents above this line are typically considered cost-burdened.
Key Takeaways
  • Stretched market: Home value to income ratio of 9.1x is well above the ~4.1x national average; attainable workforce housing may be a recruitment friction.
  • Affordable rent tiers: 3 of 5 HUD Fair Market Rent bedroom tiers sit below the 30%-of-median-income affordability threshold (~$4,107/mo).
Source: Census ACS housing tables + HUD Fair Market Rents.

Workforce Pipeline

Labor force readiness, commuting, and workforce composition

Labor Market Overview

Source: Census ACS 2020-2024 · Tables B01001, B23025, B08303, B08301
1,229,961
Working Age (18-64) vs 2019
Mean Commute
26.2 min
Work From Home vs 15.1% national
23.9%
Prime-Age Employed (25-54)
84.1%
of prime-age population
Labor force participation rate: 69.6% of working-age population (18-64) 70% Participation
▼ vs 2019

Education & Talent Pipeline

Source: Census ACS 2020-2024 · Table B15003 · College Scorecard
Bachelor's+
56.5%
HS Diploma+
89.3%
Regional / Statewide Institutions
Total credentials awarded
77,028/yr
University of California-Berkeley 15,215/yr
University of California-Los Angeles 14,884/yr
University of California-San Diego 12,110/yr
University of California-Davis 12,064/yr
California State University-Fullerton 11,468/yr
California State University-Long Beach 11,287/yr

Aging Workforce

Source: Census Bureau ACS · Derived from age & employment tables
18.7%
55-64 of working-age population (18-64)

Workforce by Occupation

Source: Census ACS 2020-2024 · Table C24010 · Civilian employed population 16+
Management / Professional
59.3%
Service
13.3%
Sales & Office
14.5%
Construction / Maint.
5.3%
Production / Transport
7.5%
Bars scaled 2× for visual differentiation; percentage labels show actual share of 999,346 employed workers.
Key Takeaways
  • Talent pipeline: 6 regional institutions feed the workforce; the top three combined produce 42,209 annual credentials.
Source: ACS workforce data and College Scorecard.

AI Insights

AI-assisted analysis, drawn from 9 federal data sources

Sample AI Insight

Santa Clara County shows strong potential for computer and electronic product manufacturing attraction, with a 10.61x concentration and 76,169 jobs in this sub-sector. It ranks in the top decile nationally.

The interconnected base across computer and electronic product manufacturing, publishing industries and telecommunications, and computing infrastructure providers and data processing creates supply-chain attraction leverage rather than single-employer risk, a structural advantage for industrial recruitment.

Industry Shift Analysis

Manufacturing Automation Risk
High
Healthcare Growth Forecast
+4.2% CAGR
Remote Work Migration
67/100

Prospect Match Scores

Advanced Manufacturing
92/100
Life Sciences
84/100
Data Centers
71/100
Illustrative example

Take it further

AI Insights: Built into ExecutivePulse. Continuous analysis tied to your own pipeline: industry-shift signals, prospect matches, retention prompts.

Managed Services: Prefer to hand it off? Our team delivers the analysis and consulting for you.

Schedule a Demo
Available as premium offerings.

Data Sources

Updated from official federal government data.

Census ACS 5-Year2024
BLS QCEW2025 annual
BLS LAUS (via FRED)2025 annual
BEA Regional GDP2024
Census CBP2023
HUD Fair Market RentsFY2026
FCC Broadband Map2024
USAspending.govFY2026
College ScorecardAY 2022-23

Frequently Asked Questions

Key economic and demographic figures for Santa Clara County, California, from federal data sources.

What is the population of Santa Clara County, California?

1,902,047 (U.S. Census Bureau, ACS 5-Year Estimates).

What is the median household income in Santa Clara County, California?

$164,281 (U.S. Census Bureau, ACS 5-Year Estimates).

What is the unemployment rate in Santa Clara County, California?

4.3% (2025 annual average, U.S. Bureau of Labor Statistics, LAUS).

What is the GDP of Santa Clara County, California?

$438.5B (U.S. Bureau of Economic Analysis, CAGDP1).