Published by Instant Press on behalf of Fight For A Living Wage.
When survey data on how people feel about the economy diverges from the headline indicators, the usual conclusion is that the public has it wrong. That conclusion is backwards. Sentiment surveys ask households about the thing households experience, which is whether their own bills are payable. Aggregate indicators answer a different question about national totals. On the question of affordability, the surveys are the better instrument, and the gap between the two is evidence of a measurement failure rather than a perception failure.
The argument for taking sentiment seriously
Pew Research Center has documented sustained public pessimism about personal financial conditions and about prices across multiple survey waves, including among respondents reporting stable employment. The standard reading treats that as a puzzle requiring explanation, usually media negativity or partisan sorting.
Both of those effects exist and neither accounts for the size or the persistence of the gap. A simpler explanation fits better. Households are reporting accurately on a set of prices that aggregate measures dilute by construction.
Where the dilution happens
The Consumer Price Index weights each category by its share of typical urban household spending. That is the right design for measuring economy-wide price change and the wrong design for measuring budget pressure, because pressure concentrates in the categories a household cannot cut.
Look at what has happened in those specific categories. The National Association of Realtors and Census figures put the median U.S. home sale price at roughly $400,000 to $420,000 in 2024, close to five times the median household income of about $80,000 that the U.S. Census Bureau reported for 2023. In the 1980s the same ratio sat near three. KFF put total annual premiums for employer family health coverage near $25,000 in 2024, with the worker contributing more than $6,000. Child Care Aware reports center-based childcare commonly costing $10,000 to $17,000 or more per child each year.
Housing, health care and childcare are the three bills a working family with children cannot postpone, substitute away from or shop down far. In the index they sit alongside categories that have been flat or falling. In a budget they sit alongside nothing, because they consume the room that would have absorbed everything else.
A household is not a basket
The index describes a representative basket. No one buys the representative basket. A renter with two children in daycare and an employer health plan has an expenditure profile almost unrelated to the weights, with a majority of income committed to the three categories above. An outright homeowner on Medicare with no childcare costs has almost no exposure to them.
Both households read the same inflation print. One of them finds it describes their year. The other finds it describes someone else’s. Averaging the two produces a number that is accurate about the aggregate and silent about either experience, and the household that is struggling is not confused when it says so.
The stock problem
There is a second reason the indicators run ahead of sentiment. Monthly economic releases track flows, and strain accumulates as a stock.
KFF analysis of Census survey data, published in 2022 and reflecting 2021, found at least $220 billion in medical debt owed across the United States. A KFF and NPR investigation that same year found roughly 100 million adults carrying some form of health care debt. Those are 2021 and 2022 figures. The Federal Reserve reports total outstanding student loan debt of roughly $1.7 to $1.77 trillion in its consumer credit release, with average balances near $38,000 per borrower according to the Education Data Initiative.
A household carrying a five-figure medical balance and a student loan has a current income and a current debt service obligation, and only the first shows up in the data people cite when they say conditions are good. Improvement in a flow does not retire a stock. Someone whose wages rose four percent while owing $20,000 in hospital bills is correct to describe their finances as bad, and the indicator that says otherwise is answering a question they did not ask.
The floor that explains the mood
One figure deserves more attention than it gets in this debate. The federal minimum wage has been $7.25 an hour since 2009, according to the U.S. Department of Labor. Over that period the median home price, family premiums and childcare costs all moved substantially, each documented by the sources above.
Aggregate statistics are built to register change. A floor that never moves generates no change to register, so it disappears from the series while its purchasing power declines every year. The erosion is real and invisible to the instrument, which is close to a definition of the problem.
What follows from taking the surveys at face value
Treating the sentiment gap as a communications problem produces a predictable response: explain the data more clearly and wait for attitudes to catch up. Years of that approach have not closed the gap, which is the result you would expect if the attitudes were right.
Treating it as a measurement problem points somewhere more useful. Publish and lead with the category-level figures rather than the composite. Report medians and distributions rather than averages. Track debt stocks next to income flows. The agencies already produce all of it. The Bureau of Labor Statistics publishes category detail and alternative labor measures at bls.gov, the Census Bureau publishes income distribution and its Supplemental Poverty Measure at census.gov, and the Federal Reserve publishes household balance sheet data at federalreserve.gov. The information is public. It is the summarizing that loses it.
Fight For A Living Wage, a nonpartisan 501(c)(3) grassroots organization, argues that the central problem is affordability across housing, health care, childcare, food, transportation and education rather than the minimum wage considered alone. Whatever one concludes about remedies, that is the right level of description, because it matches the level at which households feel the squeeze and at which the public data still holds the detail.
The people answering these surveys are not misinformed about their own finances. They are better informed about them than any national average can be.
