STRATAHELM · COMMUNITY AI EXPOSURE & RESILIENCE INDEX

Taylor County, Wisconsin

CAERI NationalWisconsin › Taylor County · FIPS 55119 · caeri:55119
40.1
CAERI score (national basis)
Bottom 25%
National percentile band
#2600
Ranked of 3142 U.S. counties
#57
Ranked in Wisconsin (of 72)
Medium
Confidence

Two comparisons, both shown. The national basis ranks Taylor 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 Wisconsin'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
21
P2 · Economic concentration
47
P3 · Adaptive capacity (inverted)
29
P4 · Regional buffer (inverted)
66
P5 · Fiscal sensitivity
24
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 Taylor County

Taylor County scores 40.1 on the national CAERI basis — 2600th of 3,142 scored U.S. counties, placing it in the Bottom 25% band nationally by percentile, with a medium-confidence rating. Within Wisconsin it ranks 57th of 72 counties (22th 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 21st national percentile. The largest concentrations of locally estimated employment in high-exposure occupations are office clerks, general, elementary school teachers, except special education, bookkeeping, accounting, and auditing clerks. The share of exposed-industry jobs held by workers under 25 is 11% — above 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 31% (above the state median) — a higher share historically means slower workforce adjustment when industries restructure. Fiscal sensitivity ranks at the 25th state percentile. In Wisconsin the transmission runs through a uniformly taxed property base — the state constitution's uniformity clause bars taxing commercial property at different rates than homes, so softness in commercial values shifts burden across the whole levy — under levy limits tied to net new construction, which constrain how much lost value a community can recapture; and through state shared revenue, 34% of general revenue here (well above the state median). Since 2023, the county and municipal aid appropriation is indexed to state sales-tax collections, so it moves with statewide consumption, not only local conditions. County sales taxes contribute 6% of own-source revenue and track taxable retail activity. Wisconsin local governments levy no local income tax. 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 189 high-exposure occupations (top quartile of ensemble exposure) with estimated local employment, Taylor County has an estimated 1,450 jobs — 18.1% of county employment — carrying an estimated $88M annual wage bill in high-exposure work. The five largest:

OccupationEst. local employment*Exposure (0–1)Median wage (area)
Office Clerks, General1330.44$42,860
Elementary School Teachers, Except Special Education1060.43$59,680
Bookkeeping, Accounting, and Auditing Clerks840.51$46,640
Customer Service Representatives820.42$43,100
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products690.43$63,350
*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

Taylor CountyWisconsin median
Share of exposed-industry jobs held by workers under 25 (entry rung) 10.8%9.7%
Share of exposed-industry jobs held by workers 55+ (adjustment friction) 30.9%28.7%

🔒 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:55119 — this URL is permanent; if the address scheme ever changes, the old address will redirect. StrataHelm. (2026). Taylor County, Wisconsin — Community AI Exposure & Resilience Index (CAERI v0.3.1) [Data set]. Retrieved August 4, 2026, from https://stratahelm.com/counties/wisconsin/taylor/ “Taylor County, Wisconsin — CAERI.” StrataHelm, 2026, stratahelm.com/counties/wisconsin/taylor/. Accessed 4 August 2026. StrataHelm. “Taylor County, Wisconsin — Community AI Exposure and Resilience Index (v0.3.1).” 2026. https://stratahelm.com/counties/wisconsin/taylor/
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/wisconsin/taylor/embed/" width="420" height="275" loading="lazy" title="CAERI — Taylor County, WI"></iframe>

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

Nearby and comparable counties

Waupaca Co., WI (in state)Dodge Co., WI (in state)Bayfield Co., WI (in state)Sharkey Co., MS (similar score)Brown Co., KS (similar score)Lee Co., MS (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_wi_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_wi.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_wi_county_revenue_mix: 2022 Census of Governments, Survey of Government Finances; lodes_wi_county_flows: LEHD LODES8 OD 2023, JT00/S000; sources: wi_main, wi_aux, ia_aux, il_aux, mn_aux; qwi_wi_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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