STRATAHELM · COMMUNITY AI EXPOSURE & RESILIENCE INDEX

Pocahontas County, Iowa

CAERI NationalIowa › Pocahontas County · FIPS 19151 · caeri:19151
38.0
CAERI score (national basis)
Bottom 25%
National percentile band
#2756
Ranked of 3142 U.S. counties
#70
Ranked in Iowa (of 99)
Medium
Confidence

Two comparisons, both shown. The national basis ranks Pocahontas 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 Iowa'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
9
P2 · Economic concentration
58
P3 · Adaptive capacity (inverted)
37
P4 · Regional buffer (inverted)
55
P5 · Fiscal sensitivity
29
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 Pocahontas County

Pocahontas County scores 38.0 on the national CAERI basis — 2756th of 3,142 scored U.S. counties, placing it in the Bottom 25% band nationally by percentile, with a medium-confidence rating. Within Iowa it ranks 70th of 99 counties (30th 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 9th national percentile. The largest concentrations of locally estimated employment in high-exposure occupations are office clerks, general, sales representatives, wholesale and manufacturing, except technical and scientific products, bookkeeping, accounting, and auditing clerks. The share of exposed-industry jobs held by workers under 25 is 5% — well below the state median of 11%; 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 39% (well above the state median) — a higher share historically means slower workforce adjustment when industries restructure. Fiscal sensitivity ranks at the 39th percentile among Iowa's counties. Census of Governments data shows state aid at 27% 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 6% 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 153 high-exposure occupations (top quartile of ensemble exposure) with estimated local employment, Pocahontas County has an estimated 468 jobs — 18.6% of county employment — carrying an estimated $26M annual wage bill in high-exposure work. The five largest:

OccupationEst. local employment*Exposure (0–1)Median wage (area)
Office Clerks, General400.44$39,670
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products360.43$62,610
Bookkeeping, Accounting, and Auditing Clerks250.51$46,010
Customer Service Representatives220.42$43,680
Elementary School Teachers, Except Special Education220.43$48,190
*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

Pocahontas CountyIowa median
Share of exposed-industry jobs held by workers under 25 (entry rung) 4.8%11.0%
Share of exposed-industry jobs held by workers 55+ (adjustment friction) 39.4%27.9%

🔒 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:19151 — this URL is permanent; if the address scheme ever changes, the old address will redirect. StrataHelm. (2026). Pocahontas County, Iowa — Community AI Exposure & Resilience Index (CAERI v0.3.1) [Data set]. Retrieved August 4, 2026, from https://stratahelm.com/counties/iowa/pocahontas/ “Pocahontas County, Iowa — CAERI.” StrataHelm, 2026, stratahelm.com/counties/iowa/pocahontas/. Accessed 4 August 2026. StrataHelm. “Pocahontas County, Iowa — Community AI Exposure and Resilience Index (v0.3.1).” 2026. https://stratahelm.com/counties/iowa/pocahontas/
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/iowa/pocahontas/embed/" width="420" height="275" loading="lazy" title="CAERI — Pocahontas County, IA"></iframe>

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

Nearby and comparable counties

Ida Co., IA (in state)Hardin Co., IA (in state)Webster Co., IA (in state)Perry Co., TN (similar score)Lawrence Co., AR (similar score)Oceana 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_ia_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_ia.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_ia_county_revenue_mix: 2022 Census of Governments, Survey of Government Finances; lodes_ia_county_flows: LEHD LODES8 OD 2023, JT00/S000; sources: ia_main, ia_aux, il_aux, mn_aux, mo_aux, ne_aux, sd_aux, wi_aux; qwi_ia_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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