US living standards and affordability
How wages, housing, public university affordability, healthcare, and everyday goods changed over time.
Study framing
This study does not attempt to determine whether life was universally better or worse in the past. Instead, it examines how different dimensions of economic life evolved over time using inflation-adjusted and relative measures of affordability.
Wages, housing, higher education, healthcare, and everyday goods can move in different directions at once. The charts below are meant for exploratory comparison — not to settle ideological debates about progress or decline.
Key patterns to look for
- Real median household income and nominal home prices often diverge, so price-to-income ratios can rise even when incomes grow.
- Public university tuition and rent can outpace hourly earnings in some decades while appliances may take fewer hours of work as manufacturing productivity improves.
- Productivity and hourly compensation indexes can decouple — productivity growth does not automatically translate into proportional wage growth.
- Absolute mobility by birth cohort (Opportunity Insights) estimates how often children out-earn their parents — a research indicator, not an administrative series.
- Reference-price series for public-university tuition, rent, and appliances use published anchors and interpolation; treat them as contextual signals, not precise retail transactions.
- Healthcare spending (WDI) and gasoline prices can rise in nominal terms while life expectancy improves — different dimensions can diverge.
- Family-formation indicators (homeownership, marriage age, fertility) describe social context; they are not direct affordability measures.
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What this chart shows (in this dataset)
- Real median household income, nominal home prices, and public university tuition can move in different directions in the same decade.
- House-price-to-income and public-university-tuition-to-income ratios summarize relative burden without replacing formal affordability indices.
- Hours-of-work charts are split by domain (rent, public-university tuition, appliances, vehicles) in actual hours at average wages; each chart uses its own y-axis scale.
- Reference anchors for public-university tuition, rent, marriage age, and appliances are interpolated between published years and should be read as contextual trends.
- Health spending per capita (WDI) begins around 2000; life expectancy and fertility provide demographic context alongside affordability charts.
- Productivity and compensation indexes are reindexed for comparison; the gap is not a direct dollar measure of lost pay.
- Absolute mobility by birth cohort (Opportunity Insights) fell from roughly 90% for the 1940 cohort to about 50% for the 1980s cohorts — a research estimate, not a live administrative series.
How to read these charts
Exploratory comparison
- Each chart is one affordability dimension. Rising real income does not automatically mean housing or public university tuition became easier to afford.
- Relative measures (ratios, hours of work) are often more informative than nominal dollar levels alone.
- Mixed nominal/real comparisons are labeled explicitly and should be read as contextual signals.
Reference anchors and interpolation
- Public-university tuition and rent use published anchor years with linear interpolation between them.
- Household goods use official BLS price indices anchored to benchmark retail prices; television also uses retail anchors before 1994.
- Hours-of-work affordability charts are split by domain (rent, public-university tuition, household goods) in actual hours at average wages; each chart uses its own y-axis scale.
Reading cues
- Direction pills and question prompts are interpretive aids, not causal claims.
- Long methodology notes live in Sources & units below.
What this study does not claim
- It does not measure subjective well-being or the full distribution of income and wealth.
- It does not prove that a specific policy caused a given affordability shift.
- Life expectancy, fertility, and marriage age are demographic context — not direct affordability measures.
- Absolute mobility is a published research estimate (Opportunity Insights); it complements affordability charts but is not a live administrative statistic.
- Health insurance premiums and long-run childcare costs are omitted where reliable national series are unavailable.
Sources & units
Median household income (real)
FRED (United States; CPI-U-adjusted in source)
Unit: Real US$ (CPI-U adjusted in source) — Describes the middle household, not the full distribution of earnings or wealth (median vs mean).
Affordability burden: housing vs public university
SignalMap derived (MSPUS / MEHOINUSA672N and College Board public-university anchors / MEHOINUSA672N)
Unit: Ratio (left: house price / income; right: tuition / income) — Both series divide a major cost by median household income. Lower values generally indicate greater affordability. The axes differ because housing and tuition have different magnitudes.
Public university tuition (nominal)
College Board (reference anchors) (College Board Trends in College Pricing — average published in-state tuition and required fees at public four-year universities. Sparse annual anchors; interpolated between anchor years.)
Unit: Nominal US$ per academic year — This measure refers to public universities (state universities) and does not include K–12 schooling, private universities, living expenses, books, or financial aid.
Public university tuition (real)
SignalMap derived (College Board public-university anchors deflated with CPI-U to 2022 dollars)
Unit: Constant 2022 US$ — This measure refers to public universities (state universities) and does not include K–12 schooling, private universities, living expenses, books, or financial aid.
Productivity vs compensation
FRED (Nonfarm business sector indexes; Indexed to 2000 = 100)
Unit: Indexed to 2000 = 100 — OPHNFB vs COMPNFB — Productivity is real output per hour; compensation is the BLS hourly compensation index. Both are reindexed for visual comparison — the gap between lines is contextual, not a direct dollar measure of lost pay.
Children earning more than their parents
Opportunity Insights (Research estimate of absolute income mobility by child birth cohort (Chetty et al. 2017).)
Unit: Percent (%) — Research-based estimate of absolute income mobility by birth cohort. Values indicate the estimated share of children who surpassed their parents' income at a comparable age. Research estimate — not an administrative time series.
Hours-of-work charts (overview)
SignalMap derived (Wage denominator: FRED AHETPI (production and nonsupervisory employees, 1964+))
Unit: Hours at average hourly wage — Hours-of-work estimates use historical wage proxies to approximate how many hours an average worker would need to work to cover the selected expense. The series are intended as contextual affordability signals rather than precise household budget calculations. CES0500000003 (all private employees) begins in 2006; AHETPI is used for longer history. Each chart begins when both its expense and wage data are available.
Average hourly earnings (hours-of-work charts)
FRED (Production and nonsupervisory employees, total private; annual mean (1964+). CES0500000003 (all employees) begins 2006 — AHETPI used here for longer history.)
Unit: Nominal US$ per hour
Median gross rent
U.S. Census Bureau (reference anchors) (Historical median gross rent; interpolated between anchor years)
Unit: Nominal US$ per month
Hours of work to afford one month of median rent
SignalMap derived (Median gross rent (Census reference anchors) ÷ FRED AHETPI)
Unit: Hours at average hourly wage — Estimated as median monthly rent divided by the average hourly wage.
Hours of work to afford one year of public university tuition
SignalMap derived (College Board public-university tuition anchors ÷ FRED AHETPI)
Unit: Hours at average hourly wage — Estimated as published in-state tuition and required fees at public four-year universities. divided by the average hourly wage. This measure refers to public universities (state universities) and does not include K–12 schooling, private universities, living expenses, books, or financial aid.
Hours of work to afford household goods
SignalMap derived (CPI- or PPI-anchored estimated prices ÷ FRED AHETPI)
Unit: Hours at average hourly wage — Estimated as representative prices divided by the average hourly wage. Refrigerator (CUSR0000SAH3 proxy), washing machine (WPU12410220/WPU1241), television (CUSR0000SERA + retail anchors), vacuum cleaner (CUSR0000SAH3 proxy). Each series starts when its price and wage data overlap.
Health expenditure per capita (real)
World Bank WDI + FRED CPI (WDI SH.XPD.CHEX.PC.CD deflated with CPI-U to 2022 dollars)
Unit: Constant 2022 US$ per person — World Bank current health expenditure per capita; annual coverage varies. Health insurance premiums relative to income are not charted: consistent long-run premium series are not available without large gaps. Context indicators — not direct affordability measures.
Life expectancy at birth
World Bank WDI (United States — health outcome context)
Unit: Years — Context indicators — not direct affordability measures.
Gasoline price (real, 2022 US$/gal)
FRED (U.S. regular gasoline; annual mean of weekly retail price; series begins 1990 on FRED)
Unit: Constant 2022 US$/gallon
New vehicle price relative to income
SignalMap derived (CPI new vehicles (CUUR0000SETA01) anchored price ÷ real median household income)
Unit: Ratio — Estimated retail price from CPI anchor; contextual signal, not a transaction-price index.
Hours of work to afford a new vehicle
SignalMap derived (Estimated new-vehicle price ÷ FRED AHETPI)
Unit: Hours at average hourly wage — Hours-of-work estimates use historical wage proxies to approximate how many hours an average worker would need to work to cover the selected expense. The series are intended as contextual affordability signals rather than precise household budget calculations.
Homeownership rate
FRED (Census homeownership rate; annual mean of quarterly observations)
Unit: Percent of occupied housing units — Context indicators — not direct affordability measures.
Median age at first marriage
U.S. Census Bureau (reference anchors) (Historical median age at first marriage, men and women; linear interpolation between anchor years)
Unit: Years — Context indicators — not direct affordability measures.
Total fertility rate
FRED (Births per woman — demographic context for family formation)
Unit: Births per woman — Context indicators — not direct affordability measures. Reliable long-run national childcare-cost series is not yet included.
Primary macro series from FRED; health spending and life expectancy from World Bank WDI; public-university tuition, rent, marriage age, and appliances from reference anchors with interpolation. Absolute mobility from Opportunity Insights (research estimate). Household goods and new-vehicle prices are CPI-anchored estimates (see Sources & units).
In simple terms
This page compares several ways to ask whether everyday economic life became easier or harder to afford over time — not with a single verdict, but with separate charts for income, housing, higher education, opportunity and social mobility, healthcare, transportation, family formation, productivity, and hours of work.
When a line rises, that dimension became more costly in relative terms (or required more hours of work). When it falls, it became cheaper relative to wages or income. Different lines can move in opposite directions in the same decade.
Use the Sources & units section for indicator codes and methodology notes before drawing strong conclusions.