BURNOUT INDEX — KY — #15th OF 50
Louisville/Jefferson County
Louisville/Jefferson County, KY-IN
Median household income sits -11% vs. the national median against a BEA Regional Price Parity of 95.0. Unemployment at 5.2% and a 24.1-minute average commute put Louisville/Jefferson County in the middle of the pack — the numbers don't make it a disaster, but they don't make it a bargain either.
Scored 2026-08-17. 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: 0.94 (wages below cost-adjusted national) | $71,737 RPP 95.0 | -11% national median income | 40% | 2.5 | Census ACS 2023 BEA RPP 2024 |
| Mean commute Minutes/day, ACS 5-year. Capped at 60 min. | 24.1 min | 2.4 min shorter than 26.5 min national | 30% | 12.1 | Census ACS 2023 |
| Unemployment rate BLS LAUS (monthly, MSA-level). Capped at 8%. Preliminary. | 5.2% | 1.3pp above 3.9% national (ACS period) | 30% | 19.5 | BLS LAUS LAUMT213114000000003 |
| Total score | 34 | ||||
Louisville/Jefferson County in context
Louisville/Jefferson County ranks 15th 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 1,380,159, making it one of the top-50 US metros by size. The data covers the Louisville/Jefferson County, KY-IN Metropolitan Statistical Area (CBSA 31140), which typically extends well beyond the core city limits.
On wages vs. cost of living: median household income here is $71,737 per year (-11% the national median of $80,610). Against a BEA Regional Price Parity of 95.0 (national average = 100, higher = more expensive), that works out to a purchasing-power index of 0.94 relative to a national baseline of 1.0. Wages don't keep up with local prices on a cost-adjusted basis — that gap contributes 2.5 points to the burnout score.
On commute: the average one-way trip takes 24.1 minutes — 2.4 min shorter than the national mean of 26.5 minutes. The commute component contributes 12.1 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 5.2%, which is 1.3pp above the national reference figure of 3.9% for the ACS measurement period. The unemployment component contributes 19.5 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 (2026-06-30), 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= $71,737 ÷ $80,610 (national median) = 0.8899cost_norm= 94.956 ÷ 100 = 0.9496pay_term= clamp₀₁(1 − 0.8899 ÷ 0.9496) = 0.0628commute_term= clamp₀₁(24.1 ÷ 60) = 0.4017unemp_term= clamp₀₁(5.2 ÷ 8) = 0.6500
Score = round(40 × 0.0628 + 30 × 0.4017 + 30 × 0.6500) = round(34.06) = 34
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 34 to 34 (0 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/louisville-ky.json · License: CC BY 4.0 · Cite as: Office Blues Burnout Index, Louisville/Jefferson County, KY-IN, officeblues.net/burnout-index/louisville-ky, 2026-08-17