Butler County, Missouri

• Income gap: Households earn meaningfully less than the national median, which directly affects retail demand, housing absorption, and tax base.
• Below the state median: Median household income runs $21,613 (30.6%) under the Missouri median, so statewide income averages overstate local household buying power.
• Cost of living stretches income further: Local prices run 9.2% below the national average, so the nominal median of $49,089 is worth $54,063 at national average prices. BEA publishes price parity at state level, not county level.
• Elevated poverty: At 20.5%, the rate is in economically distressed territory and supports federal funding narratives (CDFI, NMTC, EDA).
• Talent gap: Bachelor's-or-higher attainment trails the national average by 19.9 pts, relevant for advanced-services attraction strategy.

• Largest private-sector industry: Health Care and Social Assistance employs 4,058 workers (29.9% of tracked sectors), at an average wage of $47,638. Every industry figure on this page is private sector; government employs a further 3,558 and is counted separately.
• Economic scale: Regional GDP of $2B (2024).
• Wage stratification: Professional, Scientific, and Technical Services averages $77,333 while Administrative and Support and Waste Management averages $20,892, a 3.7x spread in the same local economy, with implications for workforce development and talent strategy.

• Top specialization: Machinery Manufacturing concentrates at 6.25x the national norm, top-decile concentration, the kind of signature sector that defines a region's economic identity to site selectors.
• Cluster depth: 11 sub-sectors register LQ ≥ 1.5, and no single source of demand accounts for more than 31.2% of the employment across them, the largest being resident household spending. Demand reaches this base from more than one market rather than from a single one.
• Attraction whitespace: 3 sub-sectors register LQ < 0.5 with at least 50 employed, candidates for diversification or recruitment depending on labor-market fit.

• In line with national: Home value to income ratio of 3.0x sits near the ~4.1x national average; affordability is neither a clear advantage nor a recruitment friction.
• Elevated vacancy: 14% of housing units are vacant, above the Missouri rate of 11.2%, and down from 17.5% in 2019.
• Vacancy composition: the largest vacancy category is other vacant at 65.8% of vacant units, with seasonal and recreational use at 14.1%.
• Genuinely available supply: units listed for rent or for sale are 18.9% of the vacant stock, or 2.7% of all housing units against the 14% headline vacancy rate. Absorbable supply for an incoming employer is thin, and the gap between the two is the redevelopment and conversion opportunity.
• Affordable rent tiers: 2 of 5 HUD Fair Market Rent bedroom sizes sit below what a household on the median renter income of $30,159 can pay without cost burden (~$754/mo), and 45.9% of renter households are measured as cost-burdened.

• Succession risk is real: 22.3% of working-age residents are 55-64. Plan for retirements over the next decade and pair attraction strategy with talent retention.
• Low participation: 55% labor force participation. The labor force itself fell 3.1% between 2019 and 2024, from 18,925 to 18,332.
• Short commutes: 21.0-minute mean commute is a quality-of-life and labor-access advantage worth surfacing for site selectors.
• Talent pipeline: 1 institution in Butler County awards 774 credentials a year. Employers drawing from a wider labor shed should read this alongside institutions outside the county, which this page does not aggregate.

Butler County shows strong potential for machinery manufacturing attraction, with a 6.25x concentration and 761 jobs in this sub-sector. It ranks in the top decile nationally. Near-term succession risk is elevated, with 22.3% of the working-age population within 10 years of retirement age.

The concentrated base spans machinery manufacturing, fabricated metal product manufacturing, and social assistance, and no single source of demand accounts for more than 31.2% of the employment across them, the largest being resident household spending. Supply-chain recruitment has more than one demand base to work from.