US state real-GDP momentum intelligence (annual)

Name: US state real-GDP momentum intelligence (annual)
Creator: US State Real-GDP Momentum Intelligence
License: https://fred.stlouisfed.org/legal
Keywords: gdp, macroeconomics, usa, united-states, annual, signals, rankings, ml-features

Commercial use OKFresh

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State x year panel of real-GDP momentum from BEA GDP by State (keyless via FRED fredgraph.csv, full annual history 1997 -> latest). Levels are millions of chained 2017 dollars, with YoY growth, 5y/10y CAGRs, and growth-vs-US spreads in percentage points. Percentile-of-own-history growth and level scores (trailing 20 years) feed a documented 0-100 GDP-momentum index with per-year ranks and g1-g4 tiers. Surge, cooling, contraction, back-to-back-contraction, record-high, and preliminary flags mark regime years; the US national backdrop rides on every row.

Source: US State Real-GDP Momentum Intelligence
Rows: 1,508
Columns: 26
Source cadence: Yearly
Last refreshed: Sep 30, 2026
Theme: economy

Column	Type	Description
row_hash	string	Deterministic 16-hex sha256 over as_of, state_code, year, real_gdp_m, gdp_momentum_index; identical input produces an identical hash.
as_of	string	Snapshot anchor: the latest year present in all 52 series (YYYY-01-01).
state_code	string	USPS state code; 'DC' is the District of Columbia, 'US' the national aggregate row.
state_name	string	State / district / national name.
country_code	string	ISO alpha-3 join key; constant 'USA'.
year	integer	Panel year.
year_start	string	Year start date (YYYY-01-01) — the ISO date join key.
real_gdp_m	float	Real GDP, not seasonally adjusted (annual). (unit: millions of chained 2017 dollars/year)
gdp_yoy	float	Year-on-year change of real GDP. (unit: ratio)
cagr_5y	float	5-year compound annual growth rate: (level / level.shift(5))**(1/5) - 1. (unit: ratio)
cagr_10y	float	10-year compound annual growth rate: (level / level.shift(10))**(1/10) - 1. (unit: ratio)
growth_vs_us_pp	float	State YoY growth minus US national YoY growth, in percentage points (null on the US row itself). (unit: pp)
growth_score	float	Percentile of the current YoY within the state's own trailing 20 years of YoY values (100*(r-1)/(n-1), average ranks; null with <8 window observations or zero variance). (unit: 0-100)
level_score	float	Percentile of the current real-GDP level within the state's own trailing 20 years of levels (same documented formula). (unit: 0-100)
gdp_momentum_index	float	Documented 0-100 GDP-momentum index: 0.6 * growth_score + 0.4 * level_score; null when either leg is null. (unit: 0-100)
momentum_rank	integer	Per-year rank by gdp_momentum_index (1 = strongest; competition ranking, ties broken by state_code asc).
momentum_tier	string	g4_strong (>=75) / g3_healthy (>=50) / g2_soft (>=25) / g1_weak (<25).
surge_flag	boolean	True when gdp_momentum_index >= 75.
cooling_flag	boolean	True when gdp_momentum_index <= 25.
contraction_flag	boolean	True when real GDP contracted year-on-year (gdp_yoy < 0).
recession_flag	boolean	True on back-to-back annual contractions (contraction this year and last).
record_high_flag	boolean	True when the level exceeds every prior year (>=4 prior observations).
preliminary_flag	boolean	True for the as_of year — BEA's first estimate, revised in later releases.
us_gdp_m	float	Year's US national real GDP (context column, replicated per row). (unit: millions of chained 2017 dollars/year)
us_gdp_yoy	float	Year's US national real-GDP YoY. (unit: ratio)
provenance_url	string	Exact fredgraph.csv source URL behind the row.

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

row_hash	as_of	state_code	state_name	country_code	year	year_start	real_gdp_m	gdp_yoy	cagr_5y	cagr_10y	growth_vs_us_pp	growth_score	level_score	gdp_momentum_index	momentum_rank	momentum_tier	surge_flag	cooling_flag	contraction_flag	recession_flag	record_high_flag	preliminary_flag	us_gdp_m	us_gdp_yoy	provenance_url
32f8d1029e720500	2025-01-01	AL	Alabama	USA	1,997	1997-01-01	154,700	—	—	—	—	—	—	—	—	—	—	—	—	—	false	false	12,370,299	—	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRGSP
3cbc5d1e8b8c7793	2025-01-01	AL	Alabama	USA	1,998	1998-01-01	160,396.4	0.037	—	—	-0.801	—	—	—	—	—	—	—	false	false	false	false	12,924,876	0.045	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRGSP
eb7ed13d1262b146	2025-01-01	AL	Alabama	USA	1,999	1999-01-01	166,531.8	0.038	—	—	-0.963	—	—	—	—	—	—	—	false	false	false	false	13,543,774	0.048	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRGSP
d6a33f73540c318b	2025-01-01	AL	Alabama	USA	2,000	2000-01-01	168,695.3	0.013	—	—	-2.778	—	—	—	—	—	—	—	false	false	false	false	14,096,033	0.041	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRGSP
d0c459d20af6c59a	2025-01-01	AL	Alabama	USA	2,001	2001-01-01	168,448.3	-0.001	—	—	-1.102	—	—	—	—	—	—	—	true	false	false	false	14,230,726	0.01	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRGSP
081e0c09b30ee8b7	2025-01-01	AL	Alabama	USA	2,002	2002-01-01	172,430.4	0.024	0.022	—	0.664	—	—	—	—	—	—	—	false	false	true	false	14,472,712	0.017	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRGSP
ce38faa061f22fb4	2025-01-01	AL	Alabama	USA	2,003	2003-01-01	178,040	0.033	0.021	—	0.458	—	—	—	—	—	—	—	false	false	true	false	14,877,312	0.028	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRGSP
bb7eac59fdc312a2	2025-01-01	AL	Alabama	USA	2,004	2004-01-01	189,913.7	0.067	0.027	—	2.821	—	100	—	—	—	—	—	false	false	true	false	15,449,757	0.038	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRGSP
423887b9cbc868c9	2025-01-01	AL	Alabama	USA	2,005	2005-01-01	197,246.5	0.039	0.032	—	0.378	85.71	100	91.43	7	g4_strong	true	false	false	false	true	false	15,987,957	0.035	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRGSP
1039570cac5112dd	2025-01-01	AL	Alabama	USA	2,006	2006-01-01	199,923.9	0.014	0.035	—	-1.427	25	100	55	26	g3_healthy	false	false	false	false	true	false	16,433,148	0.028	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRGSP

Profiled Oct 1, 2026 from snapshot 20260930T193903Z-4027914494bd

Measured

Completeness: 90%
Rows: 1,508
Columns: 26
Columns with gaps: 14

Rows per yearyear · 1997–2025 · 29 years

19972025

Column	Missing	Distinct	Range	Distribution
row_hashvarchar	0%	1,504	—	0031744374cf02351 004a8b3322e95b921 004d7b65181c3b601
as_ofvarchar	0%	1	—	2025-01-011,508
state_codevarchar	0%	57	—	AK29 AL29 AR29
state_namevarchar	0%	59	—	Alabama29 Alaska29 Arizona29
country_codevarchar	0%	1	—	USA1,508
yearbigint	0%	30	1,997 → 2,025median 2,011
year_startvarchar	0%	27	—	1997-01-0152 1998-01-0152 1999-01-0152
real_gdp_mdouble	0%	1,471	21,372 → 23,943,305median 213,344	32 outside 1st–99th percentile
gdp_yoydouble	3.4%	1,355	-0.104 → 0.2316median 0.0222	30 outside 1st–99th percentile
cagr_5ydouble	17.2%	1,252	-0.0301 → 0.1085median 0.0199	26 outside 1st–99th percentile
cagr_10ydouble	34.5%	996	-0.0124 → 0.0771median 0.0177	20 outside 1st–99th percentile
growth_vs_us_ppdouble	5.3%	1,137	-8.53 → 20.87median -0.318	30 outside 1st–99th percentile
growth_scoredouble	27.6%	95	0 → 100median 42.11
level_scoredouble	24.1%	58	0 → 100median 100	12 outside 1st–99th percentile
gdp_momentum_indexdouble	27.6%	287	0 → 100median 64.71	10 outside 1st–99th percentile
momentum_rankbigint	27.6%	47	1 → 52median 25
momentum_tiervarchar	27.6%	4	—	g3_healthy466 g4_strong345 g2_soft271
surge_flagboolean	27.6%	2	—	false747 true345
cooling_flagboolean	27.6%	2	—	false1,082 true10
contraction_flagboolean	3.4%	2	—	false1,240 true216
recession_flagboolean	3.4%	2	—	false1,411 true45
record_high_flagboolean	0%	2	—	true965 false543
preliminary_flagboolean	0%	2	—	false1,456 true52
us_gdp_mdouble	0%	24	12,370,299 → 23,943,305median 17,052,410
us_gdp_yoydouble	3.4%	25	-0.0258 → 0.0627median 0.0255
provenance_urlvarchar	0%	48	—	https://fred.stlouisfed.org/graph/fredgraph.csv?id=AKRGSP29 https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALRGSP29 https://fred.stlouisfed.org/graph/fredgraph.csv?id=ARRGSP29

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

cURL

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

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/us_state_gdp_momentum_intel/us_state_real_gdp_momentum_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/us_state_gdp_momentum_intel/us_state_real_gdp_momentum_annual

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

Cite this snapshot

Pinned to snapshot 20260930T193903Z-4027914494bd and its content hash, so readers get exactly the data you used.

APA

US State Real-GDP Momentum Intelligence. (2026). US state real-GDP momentum intelligence (annual) [Data set, snapshot 20260930T193903Z-4027914494bd, sha256 4027914494bd]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/en/datasets/us_state_gdp_momentum_intel/us_state_real_gdp_momentum_annual?snapshot=20260930T193903Z-4027914494bd

BibTeX

@misc{dz_us_state_gdp_momentum_intel_us_state_rea_40279144,
  title        = {{US state real-GDP momentum intelligence (annual)}},
  author       = {{US State Real-GDP Momentum Intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/us_state_gdp_momentum_intel/us_state_real_gdp_momentum_annual?snapshot=20260930T193903Z-4027914494bd}},
  note         = {Snapshot 20260930T193903Z-4027914494bd, sha256 4027914494bdf7a83bda2fb2767c658aa01015f3b17422d50792b74968a2fb58; accessed 2026-10-01}
}

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