OFFICE BLUES

BURNOUT INDEX — OH — #45th OF 50

Cincinnati
Cincinnati, OH-KY-IN

28
/100
Below-average pressure
-1 vs. last update

Median household income is -1% vs. the national median with a BEA RPP of 99.0, implying relatively favorable purchasing power. Unemployment at 4.2% and a 25-minute average commute keep Cincinnati near the bottom of the burnout ranking. The labor market conditions here, on these three metrics, work less hard against you.

Scored 2026-05-04. Data: Census ACS 5-year 2023, BEA RPP 2024. Unemployment: BLS LAUS (most recent month).

The receipts

Three components, three public sources. Each term is clamped to [0, 1] before weighting. The formula is published on the methodology page; any change to the weights requires a public ADR (ADR-0013+).

Component Raw value vs. national Weight Contribution Source
Pay-to-cost gap
Median HH income vs. cost of living.
Purchasing power index: 1.00 (wages above cost-adjusted national)
$79,490
RPP 99.0
-1% national
median income
40% 0.2 Census ACS 2023 BEA RPP 2024
Mean commute
Minutes/day, ACS 5-year. Capped at 60 min.
25 min 1.5 min shorter than
26.5 min national
30% 12.5 Census ACS 2023
Unemployment rate
BLS LAUS (monthly, MSA-level). Capped at 8%. Preliminary.
4.2% 0.3pp above
3.9% national (ACS period)
30% 15.8 BLS LAUS LAUMT391714000000003
Total score 28

Cincinnati in context

Cincinnati ranks 45th out of 50 major US metro areas on the Office Blues Burnout Index. The index measures three labor-market signals that directly affect worker quality of life: the gap between wages and cost of living, commute time, and unemployment pressure. It does not measure culture, management quality, or RTO mandates — those signals are not yet available at MSA level from primary sources without scraping.

The metro area population is approximately 2,274,564, making it one of the top-50 US metros by size. The data covers the Cincinnati, OH-KY-IN Metropolitan Statistical Area (CBSA 17140), which typically extends well beyond the core city limits.

On wages vs. cost of living: median household income here is $79,490 per year (-1% the national median of $80,610). Against a BEA Regional Price Parity of 99.0 (national average = 100, higher = more expensive), that works out to a purchasing-power index of 1.00 relative to a national baseline of 1.0. Wages here stretch further than the national average on a cost-adjusted basis — that's why the pay-to-cost gap contributes 0.2 points, not more.

On commute: the average one-way trip takes 25 minutes — 1.5 min shorter than the national mean of 26.5 minutes. The commute component contributes 12.5 points out of a possible 30 (capped when commute ≥ 60 minutes). Commute time is the most consistent predictor of reported job dissatisfaction in the academic literature; it compounds every other signal.

On unemployment: the rate is 4.2%, which is 0.3pp above the national reference figure of 3.9% for the ACS measurement period. The unemployment component contributes 15.8 points out of a possible 30 (capped at 8%). High unemployment signals a weak labor market where workers have fewer outside options — the classic condition for wage suppression and lower bargaining power. This figure is from BLS LAUS (2026-02-28), the most current available.

The score formula is editorial — 40/30/30 weights are a deliberate choice, not derived from regression. If you think the weights are wrong, the methodology page explains the rationale. Weight changes require a public ADR (ADR-0013+). The sources are federal, license-free for reuse with attribution.

HOW THIS IS CALCULATED

Formula (ADR-0012, binding):

burnout_score = round(
  40 × clamp₀₁(1 − normalized_wage / cost_norm)   // pay-to-cost gap
+ 30 × clamp₀₁(commute_min / 60)                  // commute
+ 30 × clamp₀₁(unemployment_pct / 8)              // unemployment
)

Where:

  • normalized_wage = $79,490 ÷ $80,610 (national median) = 0.9861
  • cost_norm = 98.988 ÷ 100 = 0.9899
  • pay_term = clamp₀₁(1 − 0.9861 ÷ 0.9899) = 0.0038
  • commute_term = clamp₀₁(25 ÷ 60) = 0.4167
  • unemp_term = clamp₀₁(4.2 ÷ 8) = 0.5250

Score = round(40 × 0.0038 + 30 × 0.4167 + 30 × 0.5250) = round(28.40) = 28

Full methodology, weight rationale, and source citations: /methodology#burnout-index. Weight changes are a brand contract — any modification requires ADR-0013+.

What changed since last update

Score moved from 29 to 28 (-1 points). Data sources refresh weekly via CI cron. Score changes reflect BLS LAUS monthly releases (unemployment) and are recomputed every Monday at 14:30 UTC.

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Raw JSON: /burnout-index/cincinnati-oh.json · License: CC BY 4.0 · Cite as: Office Blues Burnout Index, Cincinnati, OH-KY-IN, officeblues.net/burnout-index/cincinnati-oh, 2026-05-04