OFFICE BLUES

BURNOUT INDEX — FL — #3rd OF 50

Miami-Fort Lauderdale-Pompano Beach
Miami-Fort Lauderdale-Pompano Beach, FL

35
/100
Moderate pressure
No change vs. last update

Median household income sits -9% vs. the national median against a BEA Regional Price Parity of 109.1. Unemployment at 3.6% and a 29.3-minute average commute put Miami-Fort Lauderdale-Pompano Beach in the middle of the pack — the numbers don't make it a disaster, but they don't make it a bargain either.

Scored 2026-07-21. 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: 0.84 (wages below cost-adjusted national) 		$73,481
RPP 109.1 		-9% national
median income 		40% 6.6 Census ACS 2023 BEA RPP 2024
Mean commute
Minutes/day, ACS 5-year. Capped at 60 min. 		29.3 min 2.8 min longer than
26.5 min national 		30% 14.7 Census ACS 2023
Unemployment rate
BLS LAUS (monthly, MSA-level). Capped at 8%. Preliminary. 		3.6% 0.3pp below
3.9% national (ACS period) 		30% 13.5 BLS LAUS LAUMT123310000000003
Total score 35

Miami-Fort Lauderdale-Pompano Beach in context

Miami-Fort Lauderdale-Pompano Beach ranks 3rd 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 6,183,199, making it one of the top-50 US metros by size. The data covers the Miami-Fort Lauderdale-Pompano Beach, FL Metropolitan Statistical Area (CBSA 33100), which typically extends well beyond the core city limits.

On wages vs. cost of living: median household income here is $73,481 per year (-9% the national median of $80,610). Against a BEA Regional Price Parity of 109.1 (national average = 100, higher = more expensive), that works out to a purchasing-power index of 0.84 relative to a national baseline of 1.0. Wages don't keep up with local prices on a cost-adjusted basis — that gap contributes 6.6 points to the burnout score.

On commute: the average one-way trip takes 29.3 minutes — 2.8 min longer than the national mean of 26.5 minutes. The commute component contributes 14.7 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 3.6%, which is 0.3pp below the national reference figure of 3.9% for the ACS measurement period. The unemployment component contributes 13.5 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 (2026-05-31), 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 = $73,481 ÷ $80,610 (national median) = 0.9116
  • cost_norm = 109.108 ÷ 100 = 1.0911
  • pay_term = clamp₀₁(1 − 0.9116 ÷ 1.0911) = 0.1645
  • commute_term = clamp₀₁(29.3 ÷ 60) = 0.4883
  • unemp_term = clamp₀₁(3.6 ÷ 8) = 0.4500

Score = round(40 × 0.1645 + 30 × 0.4883 + 30 × 0.4500) = round(34.73) = 35

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 35 to 35 (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/miami-fl.json · License: CC BY 4.0 · Cite as: Office Blues Burnout Index, Miami-Fort Lauderdale-Pompano Beach, FL, officeblues.net/burnout-index/miami-fl, 2026-07-21