ExecutivePulse
Official Federal Data

Marinette County, Wisconsin

FIPS 55075 · Marinette, WI-MI · Population 42,046
8 Sources Updated June 22, 2026
$63,809
Median Income
$80,734 national
4.1%
Unemployment
4% national
$2.4B
GDP
19.8%
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
$63,809
Per Capita
$36,118
Mean Household
$79,117
Poverty Rate
9.8%
Median Income Comparison
Marinette County$63,809
Wisconsin$77,485
National$80,734

Population Profile

Source: Census Bureau ACS 2020-2024 · Tables B01001, B02001, B03003
65+: 25.3% (10,636 residents) 55-64: 17.3% (7,283 residents) 35-54: 22.5% (9,455 residents) 18-34: 16% (6,740 residents) Under 18: 18.9% (7,932 residents) 49 Median Age
Cohorts
Under 18 · 18.9%
18-34 · 16%
35-54 · 22.5%
55-64 · 17.3%
65+ · 25.3%
Race & Ethnicity
White93.9%
Black or African American0.5%
Asian0.5%
Hispanic or Latino(any race)2.9%
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+
93.1%
High School+
National: 89.6%
▲ +3.5 pts
19.8%
Bachelor's+
National: 35.7%
▼ 15.9 pts
5.6%
Graduate+
National: 14.1%
▼ 8.5 pts

Employment Overview

Source: U.S. Census Bureau · American Community Survey 2020-2024 5-Year Estimates
42,046
Population
19,951
Labor Force
Employed
19,258
Unemployment Rate BLS LAUS 2025 annual
4.1% ▲ +0.1 pts YoY
Mean Commute 5 min below national avg
21.1 min
Work From Home vs 15.1% national
7.9%
Key Takeaways
  • Income gap: Households earn meaningfully less than the national median, which directly affects retail demand, housing absorption, and tax base.
  • Talent gap: Bachelor's-or-higher attainment trails the national average by 15.9 pts, relevant for advanced-services attraction strategy.
  • Aging population: Median age of 49 is materially above the U.S. norm; succession planning and senior-services demand are real factors.

Economy & Industry

Bureau of Labor Statistics QCEW · Bureau of Economic Analysis

$2.4B
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 Marinette County, Wisconsin, with employment, share of top sectors, and average wage
IndustryEmploymentShare of Top 10Avg Wage
1Manufacturing
4,634 40.0%
$68,802
2Retail Trade
2,233 19.3%
$32,704
3Accommodation and Food Services
1,456 12.6%
$17,948
4Construction
724 6.2%
$59,162
5Transportation and Warehousing
634 5.5%
$53,746
6Administrative and Support and Waste Management
471 4.1%
$41,700
7Finance and Insurance
387 3.3%
$65,416
8Management of Companies and Enterprises
381 3.3%
$96,654
9Other Services (except Public Administration)
379 3.3%
$53,473
10Professional, Scientific, and Technical Services
299 2.6%
$63,573
Track industry shifts with AI

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

Learn More
Key Takeaways
  • Largest sector: Manufacturing employs 4,634 workers (40% of tracked sectors), at an average wage of $68,802.
  • Economic scale: Regional GDP of $2.4B (2024).
  • Wage stratification: Management of Companies and Enterprises averages $96,654 while Accommodation and Food Services averages $17,948, a 5.4x 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).
Animal Production and Aquaculture
9.95x
304
Transportation Equipment Manufacturing
8.49x
1,669
Wood Product Manufacturing
4.31x
196
Gasoline Stations and Fuel Dealers
3.15x
374
Fabricated Metal Product Manufacturing
3.07x
496
Truck Transportation
2.42x
405
2.30x
5,901
Machinery Manufacturing
2.01x
247
Nursing and Residential Care Facilities
1.91x
739
Building Material and Garden Supply Retailers
1.70x
263

Cluster Depth

Source: BLS QCEW · Sub-sectors with LQ ≥ 1.5 indicate genuine cluster concentration
Dominant Cluster
Goods-Producing Cluster
Coherent grouping of concentrated sub-sectors, signals supply-chain fit for site selectors
5,901
Cluster Employment
2.30x
Peak LQ
Concentrated Sub-Sectors
Animal Production and Aquaculture
9.95x 304
Transportation Equipment Manufacturing
8.49x 1,669
Wood Product Manufacturing
4.31x 196
Gasoline Stations and Fuel Dealers
3.15x 374
Fabricated Metal Product Manufacturing
3.07x 496
Truck Transportation
2.42x 405
2.30x 5,901
Machinery Manufacturing
2.01x 247
Nursing and Residential Care Facilities
1.91x 739
Building Material and Garden Supply Retailers
1.70x 263

Attraction Opportunities

LQ < 0.5 with ≥ 50 employed, realistic diversification targets. Source: BLS QCEW
0.25x
Professional, Scientific, and Technical Services
299 employed
0.33x
Insurance Carriers and Related Activities
96 employed
Key Takeaways
  • Top specialization: Animal Production and Aquaculture concentrates at 9.95x 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.
Marinette 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
$158,600
Median Home Value vs 2019
$795
Rent/Mo
81.6%
Owner-Occ
35.4%
Vacancy
2.5x
Home Value to Income Ratio - Affordable
vs. ~4.1x national average

HUD Fair Market Rents

Source: HUD · Fair Market Rents FY2026
Studio
$741/mo
1 Bedroom
$745/mo
2 Bedroom
$973/mo
3 Bedroom
$1,167/mo
4 Bedroom
$1,457/mo
30% of monthly median household income (~$1,595/mo) · rents above this line are typically considered cost-burdened.
Key Takeaways
  • Affordable market: Home value to income ratio of 2.5x is well below the ~4.1x national average; supports talent attraction and family settlement narratives.
  • High home ownership: 81.6% owner-occupied; rental supply may be tight for incoming workers.
  • Elevated vacancy: 35.4% vacancy rate. In resort, rural, and seasonal markets much of this is recreational/seasonal (second homes), not available supply; confirm the vacancy-by-reason split before treating it as a redevelopment opportunity.
  • Broadly affordable rents: All 5 HUD Fair Market Rent bedroom tiers sit below the 30%-of-median-income affordability threshold (~$1,595/mo), a clear cost-of-living advantage for workforce attraction.
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
23,478
Working Age (18-64) vs 2019
Mean Commute 5 min below national avg
21.1 min
Work From Home vs 15.1% national
7.9%
Prime-Age Employed (25-54)
85.2%
of prime-age population
Labor force participation rate: 58.5% of working-age population (18-64) 58% Participation
▼ vs 2019

Education & Talent Pipeline

Source: Census ACS 2020-2024 · Table B15003 · College Scorecard
Bachelor's+
19.8%
HS Diploma+
93.1%
Regional / Statewide Institutions
Total credentials awarded
36,732/yr
University of Wisconsin-Madison 17,447/yr
University of Wisconsin-Milwaukee 5,987/yr
Marquette University 3,757/yr
Madison Area Technical College 3,280/yr
University of Wisconsin-Whitewater 3,231/yr
University of Wisconsin-Eau Claire 3,030/yr

Aging Workforce

Source: Census Bureau ACS · Derived from age & employment tables
31%
55-64 of working-age population (18-64)
Elevated retirement risk, above the 20% threshold. Succession planning recommended.

Workforce by Occupation

Source: Census ACS 2020-2024 · Table C24010 · Civilian employed population 16+
Management / Professional
34.3%
Service
13.3%
Sales & Office
16.6%
Construction / Maint.
10.3%
Production / Transport
25.6%
Bars scaled 2× for visual differentiation; percentage labels show actual share of 19,258 employed workers.
Key Takeaways
  • Succession risk is real: 31% of working-age residents are 55-64. Plan for retirements over the next decade and pair attraction strategy with talent retention.
  • Low participation: 58.5% labor force participation suggests untapped capacity; workforce development programs may unlock supply.
  • Short commutes: 21.1-minute mean commute is a quality-of-life and labor-access advantage worth surfacing for site selectors.
  • Talent pipeline: 6 regional institutions feed the workforce; the top three combined produce 27,191 annual credentials.
Source: ACS workforce data and College Scorecard.

AI Insights

AI-assisted analysis, drawn from 8 federal data sources

Sample AI Insight

Marinette County shows strong potential for animal production and aquaculture attraction, with a 9.95x concentration and 304 jobs in this sub-sector. It ranks in the top decile nationally. Near-term succession risk is elevated, with 31% of the working-age population within 10 years of retirement age.

The interconnected base across animal production and aquaculture, transportation equipment manufacturing, and wood product manufacturing 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
College ScorecardAY 2022-23

Frequently Asked Questions

Key economic and demographic figures for Marinette County, Wisconsin, from federal data sources.

What is the population of Marinette County, Wisconsin?

42,046 (U.S. Census Bureau, ACS 5-Year Estimates).

What is the median household income in Marinette County, Wisconsin?

$63,809 (U.S. Census Bureau, ACS 5-Year Estimates).

What is the unemployment rate in Marinette County, Wisconsin?

4.1% (2025 annual average, U.S. Bureau of Labor Statistics, LAUS).

What is the GDP of Marinette County, Wisconsin?

$2.4B (U.S. Bureau of Economic Analysis, CAGDP1).