US state price-level intelligence (BEA RPP, annual)

Usage commercial OKÀ jour

Le jeu complet n’est pas encore publié — revenez après la prochaine actualisation.Télécharger l'exemple CSV Télécharger l'exemple JSONLignes d’exemple seulement (jusqu’à 20) — pas le jeu de données complet.

US state price-level intelligence from the BEA Regional Price Parities (RPP, 2008–2024 vintage, keyless FRED redistribution, U.S. public domain): 50 states plus DC, annual, US = 100. Method: the closed 51-series <ST>RPPALL universe is pulled via fredgraph.csv; every series must span 2008 to the latest vintage with zero gaps and plausible values or the ingest fails loudly. Derived signals per state-year: cost_premium_pct (RPP − 100), a documented 5-band price_tier (very_low <90 … very_high ≥110), within-year national_rank (1 = most expensive), 1-year and 5-year index-point drift (rpp_yoy_pp / rpp_5y_pp — relative price convergence or divergence), and local_purchasing_power_100 (10000/RPP: the national-dollar value of $100 spent locally). Use as prediction features: join to customers/orders/leads by state_code + year to deflate nominal amounts into real terms, set regional price lists and sales quotas, and score market affordability — a $29 subscription feels like $26 in California but $33 in Mississippi. Caveats: RPPs compare price levels across places, not inflation over time; the latest 1–2 vintages are routinely revised.

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

Source: U.S. Bureau of Economic Analysis
Lignes: 867
Colonnes: 16
Cadence de la source: Annuelle
Dernière actualisation: 2 oct. 2026
Thème: economy

Colonne	Type	Description
year	integer	Reference year of the RPP vintage.
country	string	Country name (United States).
country_code	string	ISO alpha-3 country code (USA).
state_code	string	USPS 2-letter state / district code.
state_fips	string	2-digit state FIPS code.
state_name	string	State / district name.
price_level_index	float	BEA Regional Price Parity: price level as a percentage of the overall national price level (US = 100).
cost_premium_pct	float	Signed premium (+) or discount (−) vs the national average: price_level_index − 100.
price_tier	string	Documented 5-band cut: very_low (<90), low (90–95), average (95–105), high (105–110), very_high (>=110).
national_rank	integer	Within-year rank of price_level_index across the universe (1 = most expensive; ties share the rank).
rpp_yoy_pp	float	1-year change of the index in percentage points (relative price drift).
rpp_5y_pp	float	5-year change of the index in percentage points (structural drift).
local_purchasing_power_100	float	10000 / price_level_index: the national-dollar value of $100 spent locally — deflate nominal amounts by this / 100.
row_hash	string	Content hash (sha256, 16 hex) over geography, year, and index.
provenance_url	string	Exact fredgraph.csv URL behind this row's series.
source_url	string	Canonical BEA Regional Price Parities page.

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

year	country	country_code	state_code	state_fips	state_name	price_level_index	cost_premium_pct	price_tier	national_rank	rpp_yoy_pp	rpp_5y_pp	local_purchasing_power_100	row_hash	provenance_url	source_url
2 008	United States	USA	AK	02	Alaska	103,878	3,878	average	11	—	—	96,27	644a0429a9afce57	https://fred.stlouisfed.org/graph/fredgraph.csv?id=AKRPPALL	https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area
2 008	United States	USA	AL	01	Alabama	88,901	-11,099	very_low	44	—	—	112,48	137f8225ede9b7ca	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRPPALL	https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area
2 008	United States	USA	AR	05	Arkansas	88,096	-11,904	very_low	46	—	—	113,51	0ea190dc2ed52d8c	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ARRPPALL	https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area
2 008	United States	USA	AZ	04	Arizona	102,504	2,504	average	15	—	—	97,56	6f20599ce064c569	https://fred.stlouisfed.org/graph/fredgraph.csv?id=AZRPPALL	https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area
2 008	United States	USA	CA	06	California	111,22	11,22	very_high	3	—	—	89,91	627afc3a2bf2d8d6	https://fred.stlouisfed.org/graph/fredgraph.csv?id=CARPPALL	https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area
2 008	United States	USA	CO	08	Colorado	103,315	3,315	average	13	—	—	96,79	9d2dc4898cf9c179	https://fred.stlouisfed.org/graph/fredgraph.csv?id=CORPPALL	https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area
2 008	United States	USA	CT	09	Connecticut	110,451	10,451	very_high	4	—	—	90,54	1ea070b5b7a70985	https://fred.stlouisfed.org/graph/fredgraph.csv?id=CTRPPALL	https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area
2 008	United States	USA	DC	11	District of Columbia	112,368	12,368	very_high	1	—	—	88,99	43c0f7d2a1832c1e	https://fred.stlouisfed.org/graph/fredgraph.csv?id=DCRPPALL	https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area
2 008	United States	USA	DE	10	Delaware	100,753	0,753	average	18	—	—	99,25	27eeae0a18f0aef9	https://fred.stlouisfed.org/graph/fredgraph.csv?id=DERPPALL	https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area
2 008	United States	USA	FL	12	Florida	101,668	1,668	average	16	—	—	98,36	c1b627c34ab49e81	https://fred.stlouisfed.org/graph/fredgraph.csv?id=FLRPPALL	https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area

Profilé le 2 oct. 2026 à partir de l’instantané 20261002T023303Z-5f0cc10e6281

Mesuré

Complétude: 97,8 %
Lignes: 867
Colonnes: 16
Colonnes incomplètes: 2

Lignes par annéeyear · 2008–2024 · 17 ans

20082024

Colonne	Manquant	Distinctes	Plage	Distribution
yearbigint	0 %	20	2 008 → 2 024médiane 2 016
countryvarchar	0 %	1	—	United States867
country_codevarchar	0 %	1	—	USA867
state_codevarchar	0 %	55	—	AK17 AL17 AR17
state_fipsvarchar	0 %	52	—	0117 0217 0417
state_namevarchar	0 %	59	—	Alabama17 Alaska17 Arizona17
price_level_indexdouble	0 %	880	85,02 → 114,24médiane 96,72	18 hors du 1er–99e centile
cost_premium_pctdouble	0 %	725	-14,98 → 14,24médiane -3,28	18 hors du 1er–99e centile
price_tiervarchar	0 %	5	—	average332 low277 very_low117
national_rankbigint	0 %	45	1 → 51médiane 26
rpp_yoy_ppdouble	5,9 %	905	-5,81 → 5,28médiane -0,048	18 hors du 1er–99e centile
rpp_5y_ppdouble	29,4 %	532	-6,31 → 6,33médiane -0,2305	14 hors du 1er–99e centile
local_purchasing_power_100double	0 %	732	87,53 → 117,62médiane 103,39	18 hors du 1er–99e centile
row_hashvarchar	0 %	810	—	002389e128645eac1 00f9586419a05ab31 016235703eed76f21
provenance_urlvarchar	0 %	48	—	https://fred.stlouisfed.org/graph/fredgraph.csv?id=AKRPPALL17 https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRPPALL17 https://fred.stlouisfed.org/graph/fredgraph.csv?id=ARRPPALL17
source_urlvarchar	0 %	1	—	https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area867

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/bea_rpp_intel/bea_state_rpp_annual" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/bea_rpp_intel/bea_state_rpp_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/bea_rpp_intel/bea_state_rpp_annual

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

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APA

U.S. Bureau of Economic Analysis. (2026). US state price-level intelligence (BEA RPP, annual) [Data set, snapshot 20261002T023303Z-5f0cc10e6281, sha256 5f0cc10e6281]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/fr/datasets/bea_rpp_intel/bea_state_rpp_annual?snapshot=20261002T023303Z-5f0cc10e6281

BibTeX

@misc{dz_bea_rpp_intel_bea_state_rpp_annual_5f0cc10e,
  title        = {{US state price-level intelligence (BEA RPP, annual)}},
  author       = {{U.S. Bureau of Economic Analysis}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/fr/datasets/bea_rpp_intel/bea_state_rpp_annual?snapshot=20261002T023303Z-5f0cc10e6281}},
  note         = {Snapshot 20261002T023303Z-5f0cc10e6281, sha256 5f0cc10e6281ea45a98400f9aa97e0859bb71012d03dcc445d03903f4df2df45; accessed 2026-10-02}
}

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