US state GDP signals (BEA all-industry output by state)
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.
Quality
Attribution
Bureau of Economic Analysis via FRED (derived signals by Frontier Data Hub)
Schema
| Column | 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 |
Sample rows
| date | country | country_code | series_id | series_label | value | gdp_growth_yoy_pct | change_10y_pct | volatility_30d | anomaly_flag | 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 | — | — | — | 0 | — | — | — | 75.36852732757976 | 0 | 0 |
| 1998-01-01 | United States | USA | AKNGSP | Gross Domestic Product: All Industry Total in Alaska | 24387.8 | -5.68967984191252 | — | — | 0 | — | 52 | — | 67.27433830105855 | 1 | 0 |
| 1999-01-01 | United States | USA | AKNGSP | Gross Domestic Product: All Industry Total in Alaska | 24920.4 | 2.1838788246582475 | — | — | 0 | — | 50 | — | 64.686833146756 | 0 | 0 |
| 2000-01-01 | United States | USA | AKNGSP | Gross Domestic Product: All Industry Total in Alaska | 26934 | 8.080127124765246 | — | — | 0 | — | 11 | — | 65.68658208525413 | 0 | 1 |
| 2001-01-01 | United States | USA | AKNGSP | Gross Domestic Product: All Industry Total in Alaska | 28660.9 | 6.411598722803902 | — | — | 0 | — | 5 | — | 67.71189827487976 | 0 | 1 |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)API endpoint: https://datazimuts.com/v1/datasets/state_gdp_signals/us_state_gdp_signals
Tip: fetch /llms.txt for the full machine-readable catalog.