Federal economic reports offer a direct window into how households divide their money across routine costs. The primary federal benchmark for this research is the Consumer Expenditure Survey, produced by the U.S. Bureau of Labor Statistics. While researchers frequently look to the survey to study spending disparities across income tiers, working through the underlying tables requires a clear grasp of how the statistical agency classifies households and calculates annual sums.
What the Consumer Expenditure Survey is
The Consumer Expenditure Survey, commonly abbreviated as the CE, is managed by the U.S. Bureau of Labor Statistics. As an independent federal statistical agency, the BLS collects and publishes operational figures that outline how consumer units spend their earnings throughout the calendar year. A consumer unit in these reports generally consists of family members or financially interdependent adults sharing a household. The data help economists, policymakers, and analysts track how resource use shifts over multi-year cycles.
For anyone reviewing the original data points, the BLS Tables page serves as the central hub for complete expenditure breakdowns. That directory catalogs published reports by demographic variables, geographic regions, and earnings levels. The tables show spending categories spanning standard necessities, but the exact classifications depend entirely on the formal presentation schedules chosen by the agency.
Secondary aggregators also track these releases to make continuous tracking simpler. For example, the Federal Reserve Bank of St. Louis maintains public series through its FRED database. On FRED, BLS data series appear under individual tracker codes, crediting the original agency release. This documentation path allows readers to trace republished statistics directly back to the primary federal release.
How income quintiles are built
To analyze disparities across the economic spectrum, the survey groups participating consumer units into five equal segments known as quintiles. Building these quintiles is a precise, mechanical process. The agency ranks complete income reporters from lowest to highest based on total before-tax income reported by the consumer unit. Once ranked, the sample is divided into five equal slices, each representing 20 percent of the ranked population.
These quintiles carry standard percentile labels. The lowest tier covers the 1st to 20th percentile, followed by the 21st to 40th percentile, the 41st to 60th percentile, the 61st to 80th percentile, and the 81st to 100th percentile. This structure gives analysts a uniform way to group earners from the lowest fifth to the top fifth of the income distribution.
There is an essential condition in this sorting method: incomplete income reporters are excluded from the quintile ranking. When a surveyed household does not furnish sufficient earnings data, the BLS isolates that unit. Incomplete reporters appear on separate lines in the published tables. Combining unranked records with ranked quintiles distorts the group averages, so analysts must isolate the complete reporters before drawing comparisons.
In addition, the dollar thresholds that define each quintile are not fixed permanently. The agency recalculates quintile cutoffs for each reporting period. Because earnings change over time across the economy, the upper boundary of the lowest 20 percent moves from one survey year to the next. A consumer unit sitting near the top of the lowest quintile in 2020 might fall into a different bracket in 2024, even if its nominal earnings stayed flat.
What the published figures show
A clear view of quintile spending appears in the FRED release for total average annual expenditures for the lowest 20 percent of income. This series tracks the 1st to 20th percentile bracket. The values are reported in nominal U.S. dollars, on an annual frequency, and are not seasonally adjusted. Reviewing this specific series provides five years of baseline spending history for the lowest earnings tier:
- 2020: 28,732 dollars
- 2021: 30,869 dollars
- 2022: 32,618 dollars
- 2023: 33,776 dollars
- 2024: 35,046 dollars
Over this five-year window, the average annual expenditures recorded for the lowest quintile rose by 6,314 dollars. The figures illustrate the steady upward march of nominal spending within that bottom bracket. Each observation captures the average across all consumer units within that 20 percent slice, reflecting their total combined spending across all reported outlays.
These figures alone do not explain the full gap between lower and higher earners. The single series tracks only the lowest quintile, omitting the four higher tiers as well as granular category breakdowns such as shelter, food, or transit costs. Furthermore, the FRED series page carries a last-updated date of December 19, 2025, with no scheduled next release date noted. Researchers must confirm whether later revisions or adjustments have been issued by the agency before building long-range models.
How to compare figures carefully
Accurate interpretation of expenditure metrics requires disciplined boundaries. Comparisons must remain strictly within the same survey year and use matching units of measurement. Evaluating a nominal dollar amount from 2020 alongside an unadjusted figure from 2024 without accounting for time elapsed creates misleading assumptions about actual consumption changes. Similarly, mixing seasonally adjusted figures with unadjusted survey totals alters the underlying math.
Before evaluating any reported spending gap between income brackets, a reader should resolve three fundamental questions:
- Which income definition does the underlying table apply, and are incomplete income reporters excluded?
- Which survey calendar year does the table evaluate?
- Which exact percentile range does the group represent?
Public summaries sometimes reference four baseline metrics to contrast spending differences, such as housing allocations, transportation outlays, food shares, or aggregate totals across income quintiles. However, the specific mathematical definitions, sample sizes, and collection techniques for those broader category breakdowns require reference to the formal BLS documentation. Federal survey averages serve as population-level statistical estimates. They do not constitute an individualized household budget standard, and they are not intended as financial guidance for managing personal accounts.
