Annual US state consumer-spending panel, 1997-2025 (51 geos x 29 years = 1,479 rows), from the U.S. Bureau of Economic Analysis' keyless PCE-by-state bulk download (SAPCE1 current-dollar PCE by product, SAPCE2 per-capita PCE). Each row carries nominal PCE levels (total, goods, durables, nondurables, services) in millions of current dollars, per-capita PCE, goods/services shares, year-over-year growth, 3-year CAGR, per-capita YoY, the state's share of the US total, and the growth gap vs the nation, plus a documented 0-100 demand_momentum_score (100 * (0.40*n_yoy + 0.30*n_cagr3 + 0.30*n_gap), min-max normalized across states within each year) with quintile tiers and flags for top-decile growers, contractions, goods-led years, and the new 2025 vintage. Method: the SAPCE ZIP is fetched, the two ALL_AREAS CSVs are parsed with fail-loud gates (51 state geos, contiguous years, state sums reconcile to the US total within 1%, the September 30, 2026 release headline 2025 rates — US 5.3%, FL 7.0%, CA 4.2% — within 0.1pp), GeoFIPS codes are entity-resolved to USPS/ISO-3166-2 plus BEA regions, and features are derived deterministically. Caveats: PCE is nominal (growth mixes price and volume); BEA revises annually; the 2020 dip / 2021 rebound is genuine. BEA data are U.S. federal public domain (17 U.S.C. 105); commercial use allowed with attribution.

Source: U.S. Bureau of Economic Analysis, Personal Consumption Expenditures by State
Rows: 1,479
Columns: 29
Source cadence: Yearly
Last refreshed: Sep 30, 2026
Theme: economy

Column	Type	Description
year	integer	Reference year (YYYY). The join key. (unit: ISO year)
country_code	string	ISO alpha-3 country code (always USA). (unit: ISO 3166-1 alpha-3)
state_code	string	USPS 2-letter state code. (unit: USPS)
state_name	string	Canonical state name.
iso_3166_2	string	ISO 3166-2 subdivision code (US-XX).
bea_region	string	BEA region grouping (8 regions).
pce_total_musd	float	Personal consumption expenditures, nominal, as published by BEA. (unit: millions of current US dollars)
pce_goods_musd	float	PCE on goods (durables + nondurables), nominal. (unit: millions of current US dollars)
pce_durable_musd	float	PCE on durable goods, nominal. (unit: millions of current US dollars)
pce_nondurable_musd	float	PCE on nondurable goods, nominal. (unit: millions of current US dollars)
pce_services_musd	float	PCE on services, nominal. (unit: millions of current US dollars)
pce_per_capita_usd	integer	Per-capita PCE (BEA SAPCE2, resident-population denominator). (unit: current US dollars)
goods_share_pct	float	Goods share of total PCE. (unit: percent)
services_share_pct	float	Services share of total PCE. (unit: percent)
pce_yoy_pct	float	Year-over-year percent change of nominal PCE (null for 1997). (unit: percent)
pce_cagr3_pct	float	3-year compound annual growth rate of nominal PCE (null before 2000). (unit: percent)
per_capita_yoy_pct	float	Year-over-year percent change of per-capita PCE (null for 1997). (unit: percent)
state_share_us_pct	float	State's share of total US PCE that year. (unit: percent)
vs_national_gap_pp	float	State YoY growth minus US YoY growth, percentage points. (unit: percentage points)
demand_momentum_score	float	Documented 0-100 composite: 100(0.40n_yoy + 0.30n_cagr3 + 0.30n_gap), each component min-max normalized across states within the year. 50 = mid-pack. Null before 2000 (no 3-year baseline). Descriptive, not a forecast. (unit: 0-100)
demand_tier	string	Quintile label of demand_momentum_score: surging (>=80), strong (>=60), steady (>=40), soft (>=20), weak (<20).
top_decile_growth	integer	1 when the state's YoY growth ranks in the top decile of states that year.
contraction_flag	integer	1 when nominal PCE declined year over year.
goods_led_growth	integer	1 when goods YoY exceeded services YoY by >= 2 percentage points.
is_new_vintage	integer	1 for the newest release year (2025).
source_url	string	The BEA SAPCE bulk-download ZIP behind the series (provenance).
observed_date	string	Date the SAPCE ZIP was read (ISO date). (unit: ISO date)
as_of	string	Build date of the panel (ISO date). (unit: ISO date)
row_hash	string	Deterministic 16-hex row identity: sha256('BEA-PCE\|<state_code>\|<year>\|<pce_total>\|<per_capita>').

First 10 sample rows — a preview, not the complete dataset.

year	country_code	state_code	state_name	iso_3166_2	bea_region	pce_total_musd	pce_goods_musd	pce_durable_musd	pce_nondurable_musd	pce_services_musd	pce_per_capita_usd	goods_share_pct	services_share_pct	pce_yoy_pct	pce_cagr3_pct	per_capita_yoy_pct	state_share_us_pct	vs_national_gap_pp	demand_momentum_score	demand_tier	goods_led_growth	source_url	observed_date	as_of	row_hash
1,997	USA	AL	Alabama	US-AL	Southeast	76,915.6	29,995.6	9,990.1	20,005.5	46,920	17,609	39	61	—	—	—	1.389	—	—	—	0	https://apps.bea.gov/regional/zip/SAPCE.zip	2026-09-30	2026-09-30	b8034b1a35dac5b1
1,998	USA	AL	Alabama	US-AL	Southeast	80,320.5	30,983.5	10,678.2	20,305.2	49,337	18,235	38.57	61.43	4.43	—	3.56	1.367	-1.72	—	—	0	https://apps.bea.gov/regional/zip/SAPCE.zip	2026-09-30	2026-09-30	433c056e366bc5e8
1,999	USA	AL	Alabama	US-AL	Southeast	84,866	33,160.7	11,586	21,574.7	51,705.4	19,157	39.07	60.93	5.66	—	5.06	1.351	-1.26	—	—	1	https://apps.bea.gov/regional/zip/SAPCE.zip	2026-09-30	2026-09-30	14b02d0fb7de4576
2,000	USA	AL	Alabama	US-AL	Southeast	89,748.7	34,957.7	11,949.6	23,008.1	54,790.9	20,158	38.95	61.05	5.75	5.28	5.23	1.326	-1.94	12	weak	0	https://apps.bea.gov/regional/zip/SAPCE.zip	2026-09-30	2026-09-30	bbee028cc61d5fd0
2,001	USA	AL	Alabama	US-AL	Southeast	93,232.7	36,103.3	12,226.2	23,877.2	57,129.4	20,868	38.72	61.28	3.88	5.09	3.52	1.318	-0.65	22.2	soft	0	https://apps.bea.gov/regional/zip/SAPCE.zip	2026-09-30	2026-09-30	eddf62a3880f2012
2,002	USA	AL	Alabama	US-AL	Southeast	97,220.1	37,681.1	13,059.6	24,621.4	59,539.1	21,700	38.76	61.24	4.28	4.63	3.99	1.323	0.39	33.7	soft	0	https://apps.bea.gov/regional/zip/SAPCE.zip	2026-09-30	2026-09-30	3e2af07fc24a09eb
2,003	USA	AL	Alabama	US-AL	Southeast	102,106.6	39,777.5	13,427.5	26,350.1	62,329.1	22,673	38.96	61.04	5.03	4.39	4.48	1.319	-0.31	33.2	soft	0	https://apps.bea.gov/regional/zip/SAPCE.zip	2026-09-30	2026-09-30	d431756f0148e60d
2,004	USA	AL	Alabama	US-AL	Southeast	108,428.7	42,550.4	14,203.4	28,347	65,878.3	23,932	39.24	60.76	6.19	5.16	5.55	1.317	-0.15	30.3	soft	0	https://apps.bea.gov/regional/zip/SAPCE.zip	2026-09-30	2026-09-30	5a2822bb65d29119
2,005	USA	AL	Alabama	US-AL	Southeast	115,631.1	45,480.9	14,885.3	30,595.6	70,150.2	25,303	39.33	60.67	6.64	5.95	5.73	1.319	0.12	42.1	steady	0	https://apps.bea.gov/regional/zip/SAPCE.zip	2026-09-30	2026-09-30	9348dfb4126a1978
2,006	USA	AL	Alabama	US-AL	Southeast	121,487.4	47,934.9	15,346.7	32,588.2	73,552.5	26,245	39.46	60.54	5.06	5.96	3.72	1.31	-0.73	36	soft	0	https://apps.bea.gov/regional/zip/SAPCE.zip	2026-09-30	2026-09-30	8b43daa38e150be9

Sep 30, 2026Current
20260930T133142Z-cf5af0da39b9 · sha256 cf5af0da39b9…
1,479 rows · first snapshot

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

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

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/bea_state_pce_intel/us_state_consumer_spending_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)

API endpoint: https://datazimuts.com/v1/datasets/bea_state_pce_intel/us_state_consumer_spending_annual

Tip: fetch /llms.txt for the full machine-readable catalog.

Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.

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Pinned to snapshot 20260930T133142Z-cf5af0da39b9 and its content hash, so readers get exactly the data you used.

APA

U.S. Bureau of Economic Analysis, Personal Consumption Expenditures by State. (2026). US state consumer-spending intelligence from BEA PCE (annual) [Data set, snapshot 20260930T133142Z-cf5af0da39b9, sha256 cf5af0da39b9]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/en/datasets/bea_state_pce_intel/us_state_consumer_spending_annual?snapshot=20260930T133142Z-cf5af0da39b9

BibTeX

@misc{dz_bea_state_pce_intel_us_state_consumer_sp_cf5af0da,
  title        = {{US state consumer-spending intelligence from BEA PCE (annual)}},
  author       = {{U.S. Bureau of Economic Analysis, Personal Consumption Expenditures by State}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/bea_state_pce_intel/us_state_consumer_spending_annual?snapshot=20260930T133142Z-cf5af0da39b9}},
  note         = {Snapshot 20260930T133142Z-cf5af0da39b9, sha256 cf5af0da39b99edb180d5dacd5fa93f666e68477cc787a75b58606ccfe90c694; accessed 2026-09-30}
}

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US state consumer-spending intelligence from BEA PCE (annual)

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