Inequality Project · Report No. 2

When Cities Stopped Converging

In 1969, America's richest big metro earned 29% above the national average. Today it earns 104% above. The gap between cities closed for a generation — then broke open.

BEA county income accounts 1969–2024, aggregated to metro areas · August 2026

For the first postwar decades, poorer American metros grew reliably faster than richer ones — the standard economics of catch-up, visible in every measure. Around 1980 that machine stopped. This report measures the reversal three ways: the spread between metros, the trajectories of individual cities, and where the high earners ended up.

−1.9 → +0.6
Convergence coefficient (annual catch-up rate, population-weighted): 1969–80 vs 1980–2000. Negative means poor metros catch up; it flipped sign.
1.29× → 2.04×
Income per person of the richest large metro, relative to the US average: San Francisco 1969 → San Jose 2024

1 · The spread between metros: narrowing, then widening

Gap between rich and poor metros, 1969–2024

Ratio of the 90th- to 10th-percentile metro's income per person (population-weighted, all 384 metros)

A person-weighted resident at the 90th percentile of metro income earned 1.51× the 10th-percentile metro in 1969, only 1.35× by 1976 — then the ratio climbed for four decades to 1.69×. The trough sits exactly where the deregulation-and-shareholder-value era begins.

2 · Four cities that pulled away

The divergence isn't a broad tide — it's a handful of metros detaching from the pack. San Jose was an ordinary affluent metro in 1969, indistinguishable from Detroit or Chicago. Watch what the two tech booms (2000, then 2012 onward) do to it.

The winners: income per person vs the US average

1.0 = national average; metro personal income per resident

San Jose San Francisco Boston Seattle
Every winner is a knowledge-economy hub. Note Boston's takeoff begins in the early 1980s (finance, biotech, universities) — before the internet.

3 · The old giants that didn't

The old giants: income per person vs the US average

1.0 = national average (dashed)

New York Chicago Detroit Pittsburgh
In 1969 Detroit and Chicago were premium-wage metros — the places a high-school graduate earned above the national average. Detroit crossed below 1.0 for good in 2005. New York held its premium, but through composition change (finance replacing everything else), not broad gains.

4 · Where the high earners are now

Share of tax returns over $200k, largest gainers, 2011 → 2022

Large metros (400k+ returns), plus Naples and Bridgeport; gray dot = 2011, blue dot = 2022

Nominal IRS bracket — inflation lifts every metro, so compare metros against each other, not against their own 2011 value. San Jose and San Francisco didn't just stay rich; they added high earners faster than anywhere. Bridgeport-Stamford (hedge-fund Connecticut) and Naples (retiree capital income) show the top tier isn't only tech.

What this sets up

Two threads lead out of this report. First, the timing: the convergence machine broke at the same moment the top-1% income share turned upward — the between-city and within-city divergences are plausibly the same phenomenon wearing two costumes. Second, the employers: the winning metros are precisely the homes of the scalable-value firms, and one oddity in the 2024 top-ten — Fayetteville, Arkansas, i.e. Walmart's Bentonville — hints at how much single headquarters now shape whole metros. Where the top-100 employers put their jobs, 1955 vs today, is the project's next deep dive.

Sources & method. BEA Regional Economic Accounts CAINC1, county personal income and population 1969–2024, aggregated to 2023 CBSA delineations held constant; IRS SOI CBSA files 2011 & 2022. Percentiles are population-weighted across 384 metros. The convergence coefficient is the population-weighted slope of annualized log-income growth on initial log income. Personal income includes transfers and capital income. Reproducible from analysis/phase1/metro_deep_dive.py. Companion piece: The Park Slope Question.