US state real-GDP momentum intelligence (annual)
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.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 1 508
- Colonnes
- 26
- Cadence de la source
- Annuelle
- Dernière actualisation
- 30 sept. 2026
- Thème
- economy
| Colonne | 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. |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| 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 |
Profilé le 1 oct. 2026 à partir de l’instantané 20260930T193903Z-4027914494bd
Mesuré- Complétude
- 90 %
- Lignes
- 1 508
- Colonnes
- 26
- Colonnes incomplètes
- 14
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| row_hashvarchar | 0 % | 1 504 | — |
|
| as_ofvarchar | 0 % | 1 | — |
|
| state_codevarchar | 0 % | 57 | — |
|
| state_namevarchar | 0 % | 59 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| yearbigint | 0 % | 30 | 1 997 → 2 025médiane 2 011 | |
| year_startvarchar | 0 % | 27 | — |
|
| real_gdp_mdouble | 0 % | 1 471 | 21 372 → 23 943 305médiane 213 344 | 32 hors du 1er–99e centile |
| gdp_yoydouble | 3,4 % | 1 355 | -0,104 → 0,2316médiane 0,0222 | 30 hors du 1er–99e centile |
| cagr_5ydouble | 17,2 % | 1 252 | -0,0301 → 0,1085médiane 0,0199 | 26 hors du 1er–99e centile |
| cagr_10ydouble | 34,5 % | 996 | -0,0124 → 0,0771médiane 0,0177 | 20 hors du 1er–99e centile |
| growth_vs_us_ppdouble | 5,3 % | 1 137 | -8,53 → 20,87médiane -0,318 | 30 hors du 1er–99e centile |
| growth_scoredouble | 27,6 % | 95 | 0 → 100médiane 42,11 | |
| level_scoredouble | 24,1 % | 58 | 0 → 100médiane 100 | 12 hors du 1er–99e centile |
| gdp_momentum_indexdouble | 27,6 % | 287 | 0 → 100médiane 64,71 | 10 hors du 1er–99e centile |
| momentum_rankbigint | 27,6 % | 47 | 1 → 52médiane 25 | |
| momentum_tiervarchar | 27,6 % | 4 | — |
|
| surge_flagboolean | 27,6 % | 2 | — |
|
| cooling_flagboolean | 27,6 % | 2 | — |
|
| contraction_flagboolean | 3,4 % | 2 | — |
|
| recession_flagboolean | 3,4 % | 2 | — |
|
| record_high_flagboolean | 0 % | 2 | — |
|
| preliminary_flagboolean | 0 % | 2 | — |
|
| us_gdp_mdouble | 0 % | 24 | 12 370 299 → 23 943 305médiane 17 052 410 | |
| us_gdp_yoydouble | 3,4 % | 25 | -0,0258 → 0,0627médiane 0,0255 | |
| provenance_urlvarchar | 0 % | 48 | — |
|
- Actuelle
20260930T193903Z-4027914494bd · sha256 4027914494bd…
1 508 lignes · premier instantané
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 "https://datazimuts.com/v1/datasets/us_state_gdp_momentum_intel/us_state_real_gdp_momentum_annual" | jq '{title, rows, columns_count, license}'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)Point d’accès API : https://datazimuts.com/v1/datasets/us_state_gdp_momentum_intel/us_state_real_gdp_momentum_annual
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
Citer cet instantané
Épinglé à l’instantané 20260930T193903Z-4027914494bd et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
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/fr/datasets/us_state_gdp_momentum_intel/us_state_real_gdp_momentum_annual?snapshot=20260930T193903Z-4027914494bd
@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/fr/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}
}Intégrer un tableau ou un graphique
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<iframe src="https://datazimuts.com/embed/chart?dataset=us_state_gdp_momentum_intel%2Fus_state_real_gdp_momentum_annual&lang=fr&theme=auto&snapshot=20260930T193903Z-4027914494bd&x=year&y=year&agg=avg" title="US state real-GDP momentum intelligence (annual)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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