BURNOUT INDEX — OK — #18th OF 50
Oklahoma City
Oklahoma City, OK
Median household income is -13% vs. the national median with a BEA RPP of 95.5, implying relatively favorable purchasing power. Unemployment at 4.2% and a 23.5-minute average commute keep Oklahoma City near the bottom of the burnout ranking. The labor market conditions here, on these three metrics, work less hard against you.
Scored 2026-07-21. 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: 0.92 (wages below cost-adjusted national) | $70,499 RPP 95.5 | -13% national median income | 40% | 3.4 | Census ACS 2023 BEA RPP 2024 |
| Mean commute Minutes/day, ACS 5-year. Capped at 60 min. | 23.5 min | 3 min shorter than 26.5 min national | 30% | 11.8 | 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 LAUMT403642000000003 |
| Total score | 31 | ||||
Oklahoma City in context
Oklahoma City ranks 18th 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 1,408,950, making it one of the top-50 US metros by size. The data covers the Oklahoma City, OK Metropolitan Statistical Area (CBSA 36420), which typically extends well beyond the core city limits.
On wages vs. cost of living: median household income here is $70,499 per year (-13% the national median of $80,610). Against a BEA Regional Price Parity of 95.5 (national average = 100, higher = more expensive), that works out to a purchasing-power index of 0.92 relative to a national baseline of 1.0. Wages don't keep up with local prices on a cost-adjusted basis — that gap contributes 3.4 points to the burnout score.
On commute: the average one-way trip takes 23.5 minutes — 3 min shorter than the national mean of 26.5 minutes. The commute component contributes 11.8 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 (2026-05-31), 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= $70,499 ÷ $80,610 (national median) = 0.8746cost_norm= 95.546 ÷ 100 = 0.9555pay_term= clamp₀₁(1 − 0.8746 ÷ 0.9555) = 0.0847commute_term= clamp₀₁(23.5 ÷ 60) = 0.3917unemp_term= clamp₀₁(4.2 ÷ 8) = 0.5250
Score = round(40 × 0.0847 + 30 × 0.3917 + 30 × 0.5250) = round(30.89) = 31
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 33 to 31 (-2 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/oklahoma-city-ok.json · License: CC BY 4.0 · Cite as: Office Blues Burnout Index, Oklahoma City, OK, officeblues.net/burnout-index/oklahoma-city-ok, 2026-07-21