OFFICE BLUES

BURNOUT INDEX — MN — #32th OF 50

Minneapolis-St. Paul-Bloomington
Minneapolis-St. Paul-Bloomington, MN-WI

30
/100
Below-average pressure
+3 vs. last update

Median household income is +22% vs. the national median with a BEA RPP of 104.4, implying relatively favorable purchasing power. Unemployment at 4.8% and a 24.5-minute average commute keep Minneapolis-St. Paul-Bloomington 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: 1.17 (wages above cost-adjusted national)
$98,180
RPP 104.4
+22% national
median income
40% 0 Census ACS 2023 BEA RPP 2024
Mean commute
Minutes/day, ACS 5-year. Capped at 60 min.
24.5 min 2 min shorter than
26.5 min national
30% 12.3 Census ACS 2023
Unemployment rate
BLS LAUS (monthly, MSA-level). Capped at 8%. Preliminary.
4.8% 0.9pp above
3.9% national (ACS period)
30% 18 BLS LAUS LAUMT273346000000003
Total score 30

Minneapolis-St. Paul-Bloomington in context

Minneapolis-St. Paul-Bloomington ranks 32th 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 3,712,020, making it one of the top-50 US metros by size. The data covers the Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area (CBSA 33460), which typically extends well beyond the core city limits.

On wages vs. cost of living: median household income here is $98,180 per year (+22% the national median of $80,610). Against a BEA Regional Price Parity of 104.4 (national average = 100, higher = more expensive), that works out to a purchasing-power index of 1.17 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 points, not more.

On commute: the average one-way trip takes 24.5 minutes — 2 min shorter than the national mean of 26.5 minutes. The commute component contributes 12.3 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 4.8%, which is 0.9pp above the national reference figure of 3.9% for the ACS measurement period. The unemployment component contributes 18 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 = $98,180 ÷ $80,610 (national median) = 1.2180
  • cost_norm = 104.394 ÷ 100 = 1.0439
  • pay_term = clamp₀₁(1 − 1.2180 ÷ 1.0439) = 0.0000
  • commute_term = clamp₀₁(24.5 ÷ 60) = 0.4083
  • unemp_term = clamp₀₁(4.8 ÷ 8) = 0.6000

Score = round(40 × 0.0000 + 30 × 0.4083 + 30 × 0.6000) = round(30.25) = 30

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 27 to 30 (+3 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.

Methodology · About Office Blues · Meeting Tax Calculator · Daily Pulse

Raw JSON: /burnout-index/minneapolis-mn.json · License: CC BY 4.0 · Cite as: Office Blues Burnout Index, Minneapolis-St. Paul-Bloomington, MN-WI, officeblues.net/burnout-index/minneapolis-mn, 2026-05-04