STRATAHELM · COMMUNITY AI EXPOSURE & RESILIENCE INDEX

Piute County, Utah

CAERI NationalUtah › Piute County · FIPS 49031 · caeri:49031
50.2
CAERI score (national basis)
50th–75th
National percentile band
#1533
Ranked of 3142 U.S. counties
#19
Ranked in Utah (of 29)
Low
Confidence

Two comparisons, both shown. The national basis ranks Piute 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 Utah'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
42
P2 · Economic concentration
66
P3 · Adaptive capacity (inverted)
42
P4 · Regional buffer (inverted)
75
P5 · Fiscal sensitivity
55
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.
Data-quality notice for this county. This is disclosed rather than smoothed over; the confidence rating above reflects it.

What this means for Piute County

Piute County scores 50.2 on the national CAERI basis — 1533rd of 3,142 scored U.S. counties, placing it in the 50th–75th band nationally by percentile, with a low-confidence rating. Within Utah it ranks 19th of 29 counties (36th 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 42nd national percentile. The largest concentrations of locally estimated employment in high-exposure occupations are elementary school teachers, except special education, education administrators, kindergarten through secondary, secondary school teachers, except special and career/technical education. The share of exposed-industry jobs held by workers under 25 is 13% — near the state median of 13%; 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 20% (near the state median) — a higher share historically means slower workforce adjustment when industries restructure. Fiscal sensitivity ranks at the 23rd percentile among Utah's counties. Census of Governments data shows state aid at 34% of this county's general revenue (well above the state median), and wage- and consumption-sensitive streams (sales, income, and similar own-source taxes, where levied) at 25% 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 118 high-exposure occupations (top quartile of ensemble exposure) with estimated local employment, Piute County has an estimated 43 jobs — 18.5% of county employment — carrying an estimated $3M annual wage bill in high-exposure work. The five largest:

OccupationEst. local employment*Exposure (0–1)Median wage (area)
Elementary School Teachers, Except Special Education60.43$61,500
Education Administrators, Kindergarten through Secondary50.42$108,380
Secondary School Teachers, Except Special and Career/Technical Education40.49$75,640
Middle School Teachers, Except Special and Career/Technical Education20.46$77,410
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products20.43$57,250
*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

Piute CountyUtah median
Share of exposed-industry jobs held by workers under 25 (entry rung) 12.7%12.7%
Share of exposed-industry jobs held by workers 55+ (adjustment friction) 20.3%20.3%

🔒 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:49031 — this URL is permanent; if the address scheme ever changes, the old address will redirect. StrataHelm. (2026). Piute County, Utah — Community AI Exposure & Resilience Index (CAERI v0.3.1) [Data set]. Retrieved August 4, 2026, from https://stratahelm.com/counties/utah/piute/ “Piute County, Utah — CAERI.” StrataHelm, 2026, stratahelm.com/counties/utah/piute/. Accessed 4 August 2026. StrataHelm. “Piute County, Utah — Community AI Exposure and Resilience Index (v0.3.1).” 2026. https://stratahelm.com/counties/utah/piute/
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/utah/piute/embed/" width="420" height="275" loading="lazy" title="CAERI — Piute County, UT"></iframe>

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

Nearby and comparable counties

Box Elder Co., UT (in state)Beaver Co., UT (in state)Iron Co., UT (in state)Baldwin Co., AL (similar score)Union Co., NJ (similar score)Genesee 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_ut_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_ut.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_ut_county_revenue_mix: 2022 Census of Governments, Survey of Government Finances; lodes_ut_county_flows: LEHD LODES8 OD 2023, JT00/S000; sources: ut_main, ut_aux, az_aux, co_aux, id_aux, nm_aux, nv_aux, wy_aux; qwi_ut_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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