Annual US household expenditures by income quintile from the BLS Consumer Expenditure Survey, 10-year rolling window: mean annual spending (nominal dollars) for total expenditures plus 7 Table-1101 major components — food, housing, apparel and services, transportation, healthcare, entertainment, personal insurance and pensions — for all consumer units and each income quintile (lowest/second/third/fourth/highest 20 percent). Carries category shares of total, the necessity share (food + housing), YoY change of total spending and of the necessity share, and each quintile's spending relative to the national average. Keyless BLS API v2. Who joins this: shops model demand-mix shifts as household budgets squeeze; subscription businesses read necessity_share_pct and total_yoy_pct by tier as downgrade/cancellation pressure; sales teams weight territories by quintile_vs_all_ratio.

Les titres et les descriptions proviennent des sources de données, en anglais.

Source: US Household Expenditure by Income Quintile (BLS CEX, keyless)
Lignes: 48
Colonnes: 22
Cadence de la source: Annuelle
Dernière actualisation: 1 oct. 2026
Thème: economy

Colonne	Type	Description
year	integer	Calendar year of the annual CEX estimate (period A01) — the panel join key. (unit: year)
quintile	string	Income group: all (all consumer units), q1-q5 (lowest/second/third/fourth/highest 20 percent of income before taxes). (unit: string)
quintile_label	string	Human-readable income-group label. (unit: string)
country	string	Country name (shared normalization layer). (unit: string)
country_code	string	ISO 3166-1 alpha-3 country code (USA). (unit: string)
total_expenditures	float	Mean annual total expenditures per consumer unit, nominal dollars (BLS CEX series CXUTOTALEXPLB01xxM). (unit: USD)
food	float	Mean annual food expenditures, nominal dollars (CXUFOODTOTLLB01xxM). (unit: USD)
housing	float	Mean annual housing expenditures, nominal dollars (CXUHOUSINGLB01xxM). (unit: USD)
apparel_services	float	Mean annual apparel and services expenditures, nominal dollars (CXUAPPARELLB01xxM). (unit: USD)
transportation	float	Mean annual transportation expenditures, nominal dollars (CXUTRANSLB01xxM). (unit: USD)
healthcare	float	Mean annual healthcare expenditures, nominal dollars (CXUHEALTHLB01xxM). (unit: USD)
entertainment	float	Mean annual entertainment expenditures, nominal dollars (CXUENTRTAINLB01xxM). (unit: USD)
personal_insurance_pensions	float	Mean annual personal insurance and pensions expenditures, nominal dollars (CXUINSPENSNLB01xxM). (unit: USD)
food_share_pct	float	Share of total_expenditures in percent (component / total * 100). (unit: percent)
housing_share_pct	float	Share of total_expenditures in percent (component / total * 100). (unit: percent)
transportation_share_pct	float	Share of total_expenditures in percent (component / total * 100). (unit: percent)
healthcare_share_pct	float	Share of total_expenditures in percent (component / total * 100). (unit: percent)
necessity_share_pct	float	Nondiscretionary core: (food + housing) / total * 100 — the budget-squeeze headline. (unit: percent)
total_yoy_pct	float	Year-over-year percent change of total_expenditures within the quintile (null for the first panel year). (unit: percent)
necessity_yoy_pp	float	Year-over-year change of necessity_share_pct in percentage points (null for the first panel year). (unit: percentage points)
quintile_vs_all_ratio	float	Quintile total_expenditures divided by the all-consumer-units total for the same year — the spending-power concentration lens (null for the "all" row). (unit: ratio)
row_hash	string	Deterministic 16-hex sha256 of year + quintile + the 8 mean levels (idempotency key). (unit: string)

10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.

year	quintile	quintile_label	country	country_code	total_expenditures	food	housing	apparel_services	transportation	healthcare	entertainment	personal_insurance_pensions	food_share_pct	housing_share_pct	transportation_share_pct	healthcare_share_pct	necessity_share_pct	total_yoy_pct	necessity_yoy_pp	quintile_vs_all_ratio	row_hash
2 017	all	All consumer units	United States	USA	60 060	7 729	19 884	1 833	9 576	4 928	3 203	6 771	12,869	33,107	15,944	8,205	45,976	—	—	—	4ec59a97e2ffe1ba
2 017	q1	Lowest 20 percent	United States	USA	26 019	4 070	10 413	878	3 497	2 492	1 270	655	15,642	40,021	13,44	9,578	55,663	—	—	0,433	83828638f1736069
2 017	q2	Second 20 percent	United States	USA	39 300	5 671	14 095	1 252	6 572	3 889	1 873	2 421	14,43	35,865	16,723	9,896	50,295	—	—	0,654	8f58d44d064e5c46
2 017	q3	Third 20 percent	United States	USA	50 470	7 061	17 462	1 348	8 532	4 642	2 517	4 336	13,99	34,599	16,905	9,198	48,589	—	—	0,84	065fe8e2a85d1548
2 017	q4	Fourth 20 percent	United States	USA	67 604	8 757	22 244	2 052	11 099	5 764	3 470	8 215	12,953	32,903	16,418	8,526	45,857	—	—	1,126	97ccdbd8c125e6e2
2 017	q5	Highest 20 percent	United States	USA	116 988	13 079	35 234	3 633	18 190	7 857	6 889	18 253	11,18	30,118	15,549	6,716	41,297	—	—	1,948	1ec253dde1508873
2 018	all	All consumer units	United States	USA	61 224	7 923	20 091	1 866	9 761	4 968	3 226	7 296	12,941	32,816	15,943	8,114	45,757	1,938	-0,219	—	34234bc48c44607d
2 018	q1	Lowest 20 percent	United States	USA	26 399	4 109	10 553	749	3 718	2 475	1 369	716	15,565	39,975	14,084	9,375	55,54	1,46	-0,123	0,431	1ef9b6b6bc280764
2 018	q2	Second 20 percent	United States	USA	39 968	5 840	14 293	1 280	6 761	3 997	2 183	2 054	14,612	35,761	16,916	10,001	50,373	1,7	0,078	0,653	3e63b8d740737ca3
2 018	q3	Third 20 percent	United States	USA	51 729	6 958	17 860	1 519	8 636	4 637	2 542	4 947	13,451	34,526	16,695	8,964	47,977	2,495	-0,612	0,845	35914d3361fb12e0

Profilé le 1 oct. 2026 à partir de l’instantané 20261001T163531Z-a656ebeb1e31

Mesuré

Complétude: 98,1 %
Lignes: 48
Colonnes: 22
Colonnes incomplètes: 3

Lignes par annéeyear · 2017–2024 · 8 ans

20172024

Colonne	Manquant	Distinctes	Plage	Distribution
yearbigint	0 %	9	2 017 → 2 024médiane 2 021
quintilevarchar	0 %	6	—	all8 q18 q28
quintile_labelvarchar	0 %	6	—	All consumer units8 Fourth 20 percent8 Highest 20 percent8
countryvarchar	0 %	1	—	United States48
country_codevarchar	0 %	1	—	USA48
total_expendituresdouble	0 %	44	26 019 → 150 342médiane 61 644	2 hors du 1er–99e centile
fooddouble	0 %	51	4 070 → 16 996médiane 8 046	2 hors du 1er–99e centile
housingdouble	0 %	49	10 413 → 44 033médiane 21 048	2 hors du 1er–99e centile
apparel_servicesdouble	0 %	49	749 → 3 888médiane 1 641	2 hors du 1er–99e centile
transportationdouble	0 %	48	3 497 → 25 378médiane 10 514	2 hors du 1er–99e centile
healthcaredouble	0 %	50	2 475 → 9 771médiane 5 185	2 hors du 1er–99e centile
entertainmentdouble	0 %	47	1 109 → 7 898médiane 2 921	2 hors du 1er–99e centile
personal_insurance_pensionsdouble	0 %	44	539 → 27 279médiane 6 510	2 hors du 1er–99e centile
food_share_pctdouble	0 %	52	10,66 → 15,79médiane 13,18	2 hors du 1er–99e centile
housing_share_pctdouble	0 %	49	29,25 → 42,9médiane 34,3	2 hors du 1er–99e centile
transportation_share_pctdouble	0 %	47	13,44 → 18,57médiane 16,78	2 hors du 1er–99e centile
healthcare_share_pctdouble	0 %	40	6,27 → 10,48médiane 8,51	2 hors du 1er–99e centile
necessity_share_pctdouble	0 %	47	40,57 → 57,43médiane 47,41	2 hors du 1er–99e centile
total_yoy_pctdouble	12,5 %	40	-5,54 → 11,65médiane 2,8	2 hors du 1er–99e centile
necessity_yoy_ppdouble	12,5 %	52	-1,89 → 2,02médiane 0,0503	2 hors du 1er–99e centile
quintile_vs_all_ratiodouble	16,7 %	41	0,4312 → 1,95médiane 0,8432	2 hors du 1er–99e centile
row_hashvarchar	0 %	46	—	00d336d8cd4277ff1 065fe8e2a85d15481 0a8cc629929fb1471

1 oct. 2026Actuelle
20261001T163531Z-a656ebeb1e31 · sha256 a656ebeb1e31…
48 lignes · premier instantané

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/bls_cex_quintile_intel/us_household_expenditure_quintile_annual" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/bls_cex_quintile_intel/us_household_expenditure_quintile_annual").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API : https://datazimuts.com/v1/datasets/bls_cex_quintile_intel/us_household_expenditure_quintile_annual

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.

D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.

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APA

US Household Expenditure by Income Quintile (BLS CEX, keyless). (2026). US household expenditures by income quintile (CEX, annual) [Data set, snapshot 20261001T163531Z-a656ebeb1e31, sha256 a656ebeb1e31]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/fr/datasets/bls_cex_quintile_intel/us_household_expenditure_quintile_annual?snapshot=20261001T163531Z-a656ebeb1e31

BibTeX

@misc{dz_bls_cex_quintile_intel_us_household_expe_a656ebeb,
  title        = {{US household expenditures by income quintile (CEX, annual)}},
  author       = {{US Household Expenditure by Income Quintile (BLS CEX, keyless)}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/fr/datasets/bls_cex_quintile_intel/us_household_expenditure_quintile_annual?snapshot=20261001T163531Z-a656ebeb1e31}},
  note         = {Snapshot 20261001T163531Z-a656ebeb1e31, sha256 a656ebeb1e3101888dcf59da3feb2ec03d6a0043845c76baf3e12fa840948a6f; accessed 2026-10-02}
}

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