STRATAHELM · COMMUNITY AI EXPOSURE & RESILIENCE INDEX

Worth County, Missouri

CAERI NationalMissouri › Worth County · FIPS 29227 · caeri:29227
32.5
CAERI score (national basis)
Bottom 25%
National percentile band
#3039
Ranked of 3142 U.S. counties
#115
Ranked in Missouri (of 115)
Low
Confidence

Two comparisons, both shown. The national basis ranks Worth County against every scored U.S. county — its percentile band above is a relative national standing, not a condition. The in-state basis ranks it against Missouri's other counties (rank and percentile only — bands aren't meaningful within a single state). A county can stand out in its own state while sitting mid-pack nationally. Neither is a forecast.

Pillar breakdown — national percentile ranks

P1 · Direct occupational exposure
1
P2 · Economic concentration
22
P3 · Adaptive capacity (inverted)
44
P4 · Regional buffer (inverted)
42
P5 · Fiscal sensitivity
78
Zone shading marks percentile quartiles; darker and warmer means more concerning. Capacity and buffer bars (inverted before aggregation) read mirrored — for those, a higher percentile is the safer pale end.

What this means for Worth County

Worth County scores 32.5 on the national CAERI basis — 3039th of 3,142 scored U.S. counties, placing it in the Bottom 25% band nationally by percentile, with a low-confidence rating. Within Missouri it ranks 115th of 115 counties (1th in-state percentile). The score summarizes how concentrated local employment is in AI-exposed occupations against the economy's measured capacity to adapt; these are relative-standing bands, not a projection of local job change.

Direct occupational exposure stands at the 1st national percentile. The largest concentrations of locally estimated employment in high-exposure occupations are office clerks, general, secretaries and administrative assistants, except legal, medical, and executive, court, municipal, and license clerks. The share of exposed-industry jobs held by workers under 25 is 7% — well below the state median of 10%; research on AI-era payrolls finds early-career roles in exposed work are where hiring patterns shift first, so this share indicates how soon exposure could be felt, not how large it is.

The share of exposed-industry jobs held by workers 55 and over is 12% (well below the state median) — a higher share historically means slower workforce adjustment when industries restructure. Fiscal sensitivity ranks at the 38th percentile among Missouri's counties. Census of Governments data shows state aid at 3% of this county's general revenue (well below the state median), and wage- and consumption-sensitive streams (sales, income, and similar own-source taxes, where levied) at 28% of own-source revenue. Property taxes, which respond to economic change more slowly, are counted separately and are not part of that sensitive share. How this state's aid formulas and tax structure carry economic change into local budgets is covered in the state-specific fiscal analysis available to subscribers. All county occupation figures on this page are model-based ESTIMATES with the confidence rating shown above.

Largest locally-estimated employment in high-exposure occupations

Across all 119 high-exposure occupations (top quartile of ensemble exposure) with estimated local employment, Worth County has an estimated 49 jobs — 14.2% of county employment — carrying an estimated $2M annual wage bill in high-exposure work. The five largest:

OccupationEst. local employment*Exposure (0–1)Median wage (area)
Office Clerks, General70.44$36,380
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive50.50$36,690
Court, Municipal, and License Clerks40.40$38,180
Education Administrators, Kindergarten through Secondary30.42$78,890
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products30.43$57,910
*County-level occupation figures are model-based ESTIMATES, not surveyed counts (see methodology §5 summary); every county carries the confidence rating shown above. Wage = area median.

Age structure of exposed-industry employment

Worth CountyMissouri median
Share of exposed-industry jobs held by workers under 25 (entry rung) 7.1%9.8%
Share of exposed-industry jobs held by workers 55+ (adjustment friction) 12.5%27.0%

🔒 City-level detail for its cities and towns

The county number above averages over every community in it. City- and place-level exposure profiles, employer-mix detail, trend monitoring, and peer benchmarking are part of the CAERI subscription for local governments and regional organizations.

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Cite this page

Canonical identifier: caeri:29227 — this URL is permanent; if the address scheme ever changes, the old address will redirect. StrataHelm. (2026). Worth County, Missouri — Community AI Exposure & Resilience Index (CAERI v0.3.1) [Data set]. Retrieved August 4, 2026, from https://stratahelm.com/counties/missouri/worth/ “Worth County, Missouri — CAERI.” StrataHelm, 2026, stratahelm.com/counties/missouri/worth/. Accessed 4 August 2026. StrataHelm. “Worth County, Missouri — Community AI Exposure and Resilience Index (v0.3.1).” 2026. https://stratahelm.com/counties/missouri/worth/
Embed this county's score card — attribution to StrataHelm CAERI and the link back are part of the embedded page and cannot be stripped:<iframe src="https://stratahelm.com/counties/missouri/worth/embed/" width="420" height="275" loading="lazy" title="CAERI — Worth County, MO"></iframe>

Machine-readable: this county's JSON · national dataset download and data dictionary on the methodology page.

Nearby and comparable counties

Pettis Co., MO (in state)Saline Co., MO (in state)Ste. Genevieve Co., MO (in state)Wayne Co., MS (similar score)Barron Co., WI (similar score)Antrim Co., MI (similar score)

Links point to the economically nearest counties (in-state, and similar national score). County-level geographic adjacency is not part of the public reference data, so proximity here is by rank, not by shared border.

Sources & provenance

LayerSources (vintage)
Employment & occupation structurecbp_mo_county_naics4: Census CBP 2023 API (NAICS2017 classification; PAYANN in $1,000s; noise infusion G/H/J bands, D = withheld -&gt; NaN); county_soc_estimates.meta_mo.json; exposure_scores: 2026-07-04; matrix_staffing_patterns: 2024-34 National Employment Matrix (base year 2024)
AI-exposure research baseAnthropic Economic Index; Felten, Raj & Seamans (AIOE); Eloundou et al. — combined as a weighted ensemble with cross-source disagreement feeding the confidence rating
Capacity, buffer & fiscalgovfin_mo_county_revenue_mix: 2022 Census of Governments, Survey of Government Finances; lodes_mo_county_flows: LEHD LODES8 OD 2023, JT00/S000; sources: mo_main, mo_aux, ar_aux, ia_aux, il_aux, ks_aux, ky_aux, ne_aux, ok_aux, tn_aux; qwi_mo_county_naics3_age: Census QWI (qwi/sa), quarters [&#x27;2024-Q4&#x27;, &#x27;2025-Q1&#x27;, &#x27;2025-Q2&#x27;, &#x27;2025-Q3&#x27;], sex=0, ownercode=A05 (private), 96 NAICS-3 + &#x27;00&#x27; all-industry
MethodologyCAERI v0.3.1 · public methodology · scores generated 2026-07-12 · page generated 2026-08-04
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