Two comparisons, both shown. The national basis ranks Mono 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 California'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.
Mono County scores 49.1 on the national CAERI basis — 1633rd of 3,142 scored U.S. counties, placing it in the 25th–50th band nationally by percentile, with a medium-confidence rating. Within California it ranks 31st of 58 counties (47th 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 elementary school teachers, except special education, property, real estate, and community association managers, office clerks, general. The share of exposed-industry jobs held by workers under 25 is 7% — above the state median of 7%; 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 28% (near the state median) — a higher share historically means slower workforce adjustment when industries restructure. Fiscal sensitivity ranks at the 95th percentile among California's counties. Census of Governments data shows state aid at 22% 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 48% 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.
Across all 192 high-exposure occupations (top quartile of ensemble exposure) with estimated local employment, Mono County has an estimated 1,638 jobs — 18.0% of county employment — carrying an estimated $131M annual wage bill in high-exposure work. The five largest:
| Occupation | Estimated local employment* | Exposure (0–1) | Median wage (area) |
|---|---|---|---|
| Elementary School Teachers, Except Special Education | 146 | 0.43 | $83,300 |
| Property, Real Estate, and Community Association Managers | 106 | 0.41 | $57,660 |
| Office Clerks, General | 83 | 0.44 | $47,510 |
| Secondary School Teachers, Except Special and Career/Technical Education | 79 | 0.49 | $102,950 |
| Bookkeeping, Accounting, and Auditing Clerks | 68 | 0.51 | $50,900 |
| Mono County | California median | |
|---|---|---|
| Share of exposed-industry jobs held by workers under 25 (entry rung) | 7.4% | 7.0% |
| Share of exposed-industry jobs held by workers 55+ (adjustment friction) | 28.5% | 28.8% |
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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StrataHelm. (2026). Mono County, California — Community AI Exposure & Resilience Index (CAERI v1.0.0) [Data set]. Retrieved October 4, 2026, from https://stratahelm.com/counties/california/mono/
“Mono County, California — CAERI.” StrataHelm, 2026, stratahelm.com/counties/california/mono/. Accessed 4 October 2026.
StrataHelm. “Mono County, California — Community AI Exposure and Resilience Index (v1.0.0).” 2026. https://stratahelm.com/counties/california/mono/
Machine-readable: this county's JSON · national dataset download and data dictionary on the methodology page.
Shasta County, CA (in state)Fresno County, CA (in state)Stanislaus County, CA (in state)White Pine County, NV (similar score)Knott County, KY (similar score)Pecos County, TX (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.
| Layer | Sources (vintage) |
|---|---|
| Employment & occupation structure | cbp_ca_county_naics4: Census CBP 2023 API (NAICS2017 classification; PAYANN in $1,000s; noise infusion G/H/J bands, D = withheld -> NaN); county_soc_estimates.meta_ca.json; exposure_scores: 2026-10-02; matrix_staffing_patterns: 2024-34 National Employment Matrix (base year 2024) |
| AI-exposure research base | Anthropic Economic Index; Felten, Raj & Seamans (AIOE); Eloundou et al. — combined as a weighted ensemble with cross-source disagreement feeding the confidence rating |
| Capacity, buffer & fiscal | govfin_ca_county_revenue_mix: 2022 Census of Governments, Survey of Government Finances; lodes_ca_county_flows: LEHD LODES8 OD 2023, JT00/S000; sources: ca_main, ca_aux, az_aux, nv_aux, or_aux; qwi_ca_county_naics3_age: Census QWI (qwi/sa), quarters ['2025-Q1', '2025-Q2', '2025-Q3', '2025-Q4'], sex=0, ownercode=A05 (private), 96 NAICS-3 + '00' all-industry |
| Methodology | CAERI v1.0.0 · public methodology · scores generated 2026-10-02 · page generated 2026-10-04 |
| License | Free to reuse under a Creative Commons Attribution 4.0 International (CC BY 4.0) license: reuse or redistribute with attribution to “StrataHelm CAERI” and a link back to this page. https://creativecommons.org/licenses/by/4.0/ |