Top-Income Households Spent $150342 vs $35046 for Bottom 20% in 2024

Findings

Top quintile spent $150342 annually — 4.3x the $35046 bottom-quintile total

The spending_by_income table records total annual expenditures of $150342 for q5_highest households in the BLS Consumer Expenditure Survey 2024 release. This figure stands 4.29 times above the $35046 recorded for q1_lowest households in the same table. Intermediate columns show q2 at $50054, q3 at $66900 and q4 at $89972, confirming a steady climb across the five income quintiles. The spending_by_income table aggregates these values directly from respondent submissions without adjustment. Top quintile profile presents the full category breakdown for q5_highest. BLS Consumer Expenditure Survey — Income Quintile Tables, 2024

Housing outlays within the spending_by_income table reach $44033 for q5_highest versus $14563 for q1_lowest. Transportation outlays reach $25378 for q5_highest versus $5105 for q1_lowest. Food-at-home outlays reach $9336 for q5_highest versus $3843 for q1_lowest. These category columns sit inside the same spending_by_income table that supplies the overall totals. The BLS Division of Consumer Expenditure Surveys supplies the raw cross-tabulations that populate every column. Housing by quintile displays the housing column across all five quintiles.

Transportation shows the widest top-to-bottom gap at 5.0x

The transportation column in the spending_by_income table registers $25378 for q5_highest and $5105 for q1_lowest, producing a 4.97 ratio. This ratio exceeds the overall expenditure ratio of 4.29 and the housing ratio of 3.02. The spending_by_income table isolates transportation as the category with the largest spread among core groups. Bottom-quintile households direct 14.6 percent of their $35046 total toward transportation while top-quintile households direct 16.9 percent of their $150342 total toward the same column. BLS Division of Consumer Expenditure Surveys — Cross-Tabulations, 2024

Additional columns in the spending_by_income table track how transportation spending scales with each successive quintile. The 4.97 ratio remains the maximum observed across listed categories. The table structure permits direct comparison of transportation against housing and food-at-home within identical income rows. Transportation by quintile isolates the transportation column for further inspection.

Food-at-home shows the narrowest gap at 2.4x

The food-at-home column in the spending_by_income table registers $9336 for q5_highest and $3843 for q1_lowest, producing a 2.43 ratio. This ratio falls below the overall expenditure ratio of 4.29 and the transportation ratio of 4.97. Bottom-quintile households allocate 11.0 percent of their $35046 total to food-at-home while top-quintile households allocate 6.2 percent of their $150342 total to the same column. The spending_by_income table therefore documents a declining share as income rises. BLS Consumer Expenditure Survey — Income Quintile Tables, 2024

Housing allocations move in the opposite direction: 41.6 percent of q1_lowest spending versus 29.3 percent of q5_highest spending. The spending_by_income table captures these percentage shifts alongside absolute dollar amounts. The pattern aligns with established observations on category shares across income columns. Bottom quintile profile lists the food-at-home percentage for q1_lowest alongside other columns.

Methodological context

The spending_by_income table draws from the BLS Consumer Expenditure Survey release cadence covering vintages 2020 through 2024. The BLS Division of Consumer Expenditure Surveys performs the initial ingest and normalization before the data reach the PlainHousehold portal. Revision history includes annual updates that incorporate new respondent interviews while preserving prior-year rows for longitudinal comparison. Coverage gaps appear where certain metro-statistical areas submit incomplete returns, leaving some expenditure categories sparsely populated in lower quintiles. The US Census Bureau Income and Poverty Reports supply auxiliary income brackets that align with the five quintile columns. Data methodology explains the exact mapping from survey instruments to table columns. Every numeric entry in the spending_by_income table traces to submitted diaries or interview responses collected under BLS protocols. The 2024 vintage incorporates the most recent full-year data available at the time of ingest.

Portal engineers maintain separate tables for age, region and tenure that join to the spending_by_income table via common household identifiers. These joins enable cross-tabulation without altering the original BLS values. Coverage limitations remain visible in the row counts: not every quintile contains equal numbers of observations for every detailed subcategory. The methodology documentation lists the precise response rates and weighting procedures applied by the upstream agency. Users can therefore assess data density before performing custom aggregations across the five income columns.

The spending_by_income table structure supports direct extraction of top-to-bottom ratios for any listed category. Column names q1_lowest through q5_highest remain fixed across all annual vintages, permitting consistent ratio calculations from 2020 onward. The BLS release schedule dictates that each new vintage supersedes the prior one only after quality review completes. Portal documentation records these release dates alongside any noted revisions to earlier vintages. Cross-portal interlinking connects the spending_by_income table to housing-specific and transportation-specific views that reuse the same quintile identifiers.

The spending_by_income table therefore supplies the core numeric foundation for comparing total expenditures, transportation outlays and food-at-home purchases across q1_lowest through q5_highest. Ratios derived from the 2024 columns illustrate how transportation widens most rapidly while food-at-home narrows most slowly. Housing allocations shift in share even as absolute amounts rise. Methodological documentation from the BLS Division of Consumer Expenditure Surveys confirms the vintage integrity and highlights remaining coverage constraints. Internal profiles for individual quintiles and categories allow targeted inspection of the same underlying rows.