US state GDP signals (BEA all-industry output by state)

Name: US state GDP signals (BEA all-industry output by state)
Creator: State GDP Signals (derived)
License: https://fred.stlouisfed.org/legal/
Keywords: gdp, states, regional, bea, growth, output, momentum, volatility, anomaly-detection, forecasting, signals, fred, macroeconomics

Annual US state GDP signals from FRED/BEA (1997 -> latest): all-industry total GDP for the 50 states + DC with 1-year and 10-year growth rates, 10-year growth volatility, 3-sigma anomaly flags, drift forecasts, 10-year growth z-scores and gauges: each state's share of US GDP, a contraction flag and an outperform-vs-US flag. The output lens on regional growth — the GDP companion to the coincident index in fred-state-cycle-signals and the labor lens in state-labor-signals. Raw series: Bureau of Economic Analysis via FRED.

Source: State GDP Signals (derived)1,558 lignesMis à jour: 22/09/2026

gdpstatesregionalbeagrowthoutputmomentumvolatilityanomaly-detectionforecastingsignalsfredmacroeconomics

Qualité

97.4

Attribution

Bureau of Economic Analysis via FRED (derived signals by Frontier Data Hub)

Schéma

Colonne	Type	Description
date	string	Reference year (annual; BEA state GDP).
country	string	United States (all series are US states).
country_code	string	ISO 3166-1 alpha-3 code: USA.
series_id	string	FRED series ID: <ST>NGSP (all-industry total GDP for a US state, BEA) or GDP_ANNUAL_US (national GDP annualized from quarterly FRED GDP).
series_label	string	Official series title as published in the FRED/BEA metadata.
value	float	All-industry total gross domestic product, in millions of dollars, as published by the Bureau of Economic Analysis via FRED. (unit: millions of dollars)
gdp_growth_yoy_pct	float
change_10y_pct	float
volatility_30d	float
anomaly_flag	integer
forecast_1m	float
rank	integer
growth_z_10y	float
us_share_pct	float
contraction_flag	integer
outperform_flag	integer

Exemple de lignes

date	country	country_code	series_id	series_label	value	gdp_growth_yoy_pct	change_10y_pct	volatility_30d	forecast_1m	rank	growth_z_10y	us_share_pct	contraction_flag	outperform_flag
1997-01-01	United States	USA	AKNGSP	Gross Domestic Product: All Industry Total in Alaska	25859.1	—	—	—	—	—	—	75.36852732757976	0	0
1998-01-01	United States	USA	AKNGSP	Gross Domestic Product: All Industry Total in Alaska	24387.8	-5.68967984191252	—	—	—	52	—	67.27433830105855	1	0
1999-01-01	United States	USA	AKNGSP	Gross Domestic Product: All Industry Total in Alaska	24920.4	2.1838788246582475	—	—	—	50	—	64.686833146756	0	0
2000-01-01	United States	USA	AKNGSP	Gross Domestic Product: All Industry Total in Alaska	26934	8.080127124765246	—	—	—	11	—	65.68658208525413	0	1
2001-01-01	United States	USA	AKNGSP	Gross Domestic Product: All Industry Total in Alaska	28660.9	6.411598722803902	—	—	—	5	—	67.71189827487976	0	1

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Utiliser avec un LLM

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/state_gdp_signals/us_state_gdp_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/state_gdp_signals/us_state_gdp_signals").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/state_gdp_signals/us_state_gdp_signals

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