STRATAHELM · COMMUNITY AI EXPOSURE & RESILIENCE INDEX

Essex County, Virginia

CAERI NationalVirginia › Essex County · FIPS 51057 · caeri:51057
73.1
CAERI score (national basis)
Top 10%
National percentile band
#27
Ranked of 3142 U.S. counties
#27
Ranked in Virginia (of 133)
Medium
Confidence

Two comparisons, both shown. The national basis ranks Essex 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 Virginia'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
77
P2 · Economic concentration
82
P3 · Adaptive capacity (inverted)
27
P4 · Regional buffer (inverted)
22
P5 · Fiscal sensitivity
38
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 Essex County

Essex County scores 73.1 on the national CAERI basis — 27th of 3,142 scored U.S. counties, placing it in the Top 10% band nationally by percentile, with a medium-confidence rating. Within Virginia it ranks 27th of 133 counties (80th 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 77th national percentile. The largest concentrations of locally estimated employment in high-exposure occupations are office clerks, general, management analysts, substitute teachers, short-term. The share of exposed-industry jobs held by workers under 25 is 8% — near the state median of 8%; 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 38% (well above the state median) — a higher share historically means slower workforce adjustment when industries restructure. Fiscal sensitivity ranks at the 52nd percentile among Virginia's counties. Census of Governments data shows state aid at 35% of this county's general revenue (above the state median), and wage- and consumption-sensitive streams (sales, income, and similar own-source taxes, where levied) at 14% 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 150 high-exposure occupations (top quartile of ensemble exposure) with estimated local employment, Essex County has an estimated 872 jobs — 23.6% of county employment — carrying an estimated $63M annual wage bill in high-exposure work. The five largest:

OccupationEst. local employment*Exposure (0–1)Median wage (area)
Office Clerks, General540.44$38,800
Management Analysts430.46$121,360
Substitute Teachers, Short-Term430.43$56,980
Customer Service Representatives420.42$35,430
Software Developers400.65$101,580
*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

Essex CountyVirginia median
Share of exposed-industry jobs held by workers under 25 (entry rung) 7.7%7.9%
Share of exposed-industry jobs held by workers 55+ (adjustment friction) 38.2%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:51057 — this URL is permanent; if the address scheme ever changes, the old address will redirect. StrataHelm. (2026). Essex County, Virginia — Community AI Exposure & Resilience Index (CAERI v0.3.1) [Data set]. Retrieved August 4, 2026, from https://stratahelm.com/counties/virginia/essex/ “Essex County, Virginia — CAERI.” StrataHelm, 2026, stratahelm.com/counties/virginia/essex/. Accessed 4 August 2026. StrataHelm. “Essex County, Virginia — Community AI Exposure and Resilience Index (v0.3.1).” 2026. https://stratahelm.com/counties/virginia/essex/
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/virginia/essex/embed/" width="420" height="275" loading="lazy" title="CAERI — Essex County, VA"></iframe>

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

Nearby and comparable counties

Craig Co., VA (in state)Fairfax Co., VA (in state)Westmoreland Co., VA (in state)Greenbrier Co., WV (similar score)Chattahoochee Co., GA (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_va_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_va.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_va_county_revenue_mix: 2022 Census of Governments, Survey of Government Finances; lodes_va_county_flows: LEHD LODES8 OD 2023, JT00/S000; sources: va_main, va_aux, dc_aux, ky_aux, md_aux, nc_aux, tn_aux, wv_aux; qwi_va_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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