US state personal-income momentum intelligence (quarterly)
Usage commercial OKÀ jour
Interroger dans l’atelierLe jeu complet n’est pas encore publié — revenez après la prochaine actualisation.Télécharger l'exemple CSVTélécharger l'exemple JSONLignes d’exemple seulement (jusqu’à 20) — pas le jeu de données complet.
State x quarter panel of personal-income momentum from BEA State Quarterly Personal Income (keyless via FRED fredgraph.csv, trailing 60 complete quarters): SAAR income levels, QoQ annualized / YoY / YoY acceleration, percentile-of-own-history growth and level scores (trailing 40 quarters), a documented 0-100 income-momentum index with per-quarter ranks and i1-i4 tiers, surge / cooling / record-high / preliminary flags, and the US national backdrop.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 3 120
- Colonnes
- 25
- Cadence de la source
- Trimestrielle
- Dernière actualisation
- 30 sept. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| row_hash | string | Deterministic 16-hex sha256 over as_of, state_code, quarter, personal_income_m, income_momentum_index; identical input produces an identical hash. |
| as_of | string | Snapshot anchor: the last complete quarter present in all 52 series (YYYY-MM-DD). |
| 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'. |
| quarter | string | Panel quarter label (YYYY-QN). |
| quarter_start | string | Quarter start date (YYYY-MM-DD) — the ISO date join key. |
| personal_income_m | float | Personal income, seasonally adjusted annual rate. (unit: millions USD/quarter) |
| income_qoq | float | Quarter-on-quarter change of SAAR personal income. (unit: ratio) |
| income_qoq_annualized | float | Annualized QoQ change: (1+qoq)^4 - 1. (unit: ratio) |
| income_yoy | float | Year-on-year change of SAAR personal income. (unit: ratio) |
| yoy_acceleration_pp | float | Change in the YoY growth rate vs four quarters earlier, in percentage points — the acceleration read. (unit: pp) |
| growth_score | float | Percentile of the current YoY within the state's own trailing 40 quarters of YoY values (100*(r-1)/(n-1), average ranks; null with <12 window observations or zero variance). (unit: 0-100) |
| level_score | float | Percentile of the current income level within the state's own trailing 40 quarters of levels (same documented formula). (unit: 0-100) |
| income_momentum_index | float | Documented 0-100 income-momentum index: 0.6 * growth_score + 0.4 * level_score; null when either leg is null. (unit: 0-100) |
| momentum_rank | integer | Per-quarter rank by income_momentum_index (1 = strongest; competition ranking, ties broken by state_code asc). |
| momentum_tier | string | i4_strong (>=75) / i3_healthy (>=50) / i2_soft (>=25) / i1_weak (<25). |
| surge_flag | boolean | True when income_momentum_index >= 75. |
| cooling_flag | boolean | True when income_momentum_index <= 25. |
| record_high_flag | boolean | True when the level exceeds every prior quarter (>=4 prior observations). |
| preliminary_flag | boolean | True for the as_of quarter — BEA's first estimate, revised in later releases. |
| us_pi_m | float | Quarter's US national personal income, SAAR (context column, replicated per row). (unit: millions USD/quarter) |
| us_pi_yoy | float | Quarter's US national personal-income YoY. (unit: ratio) |
| us_pi_qoq | float | Quarter's US national personal-income QoQ. (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 | quarter | quarter_start | personal_income_m | income_qoq | income_qoq_annualized | income_yoy | yoy_acceleration_pp | growth_score | level_score | income_momentum_index | momentum_rank | momentum_tier | surge_flag | cooling_flag | record_high_flag | preliminary_flag | us_pi_m | us_pi_yoy | us_pi_qoq | provenance_url |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| c73f2cdd0587718b | 2026-04-01 | AL | Alabama | USA | 2011-Q3 | 2011-07-01 | 168 396,2 | — | — | — | — | — | — | — | — | — | — | — | false | false | 13 392 533,3 | — | — | https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT |
| 13ecb17ad6300bd5 | 2026-04-01 | AL | Alabama | USA | 2011-Q4 | 2011-10-01 | 169 008,6 | 0,004 | 0,015 | — | — | — | — | — | — | — | — | — | false | false | 13 458 333,3 | — | 0,005 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT |
| 42821208300ef1e0 | 2026-04-01 | AL | Alabama | USA | 2012-Q1 | 2012-01-01 | 170 803,5 | 0,011 | 0,043 | — | — | — | — | — | — | — | — | — | false | false | 13 720 400 | — | 0,019 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT |
| fbb89169584008e3 | 2026-04-01 | AL | Alabama | USA | 2012-Q2 | 2012-04-01 | 172 121,3 | 0,008 | 0,031 | — | — | — | — | — | — | — | — | — | false | false | 13 851 833,3 | — | 0,01 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT |
| fcbb682789a3e08e | 2026-04-01 | AL | Alabama | USA | 2012-Q3 | 2012-07-01 | 170 392 | -0,01 | -0,04 | 0,012 | — | — | — | — | — | — | — | — | false | false | 13 811 833,3 | 0,031 | -0,003 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT |
| 722b60b402a54bd0 | 2026-04-01 | AL | Alabama | USA | 2012-Q4 | 2012-10-01 | 174 807,4 | 0,026 | 0,108 | 0,034 | — | — | — | — | — | — | — | — | true | false | 14 287 100 | 0,062 | 0,034 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT |
| c066e5af962d7034 | 2026-04-01 | AL | Alabama | USA | 2013-Q1 | 2013-01-01 | 172 756,5 | -0,012 | -0,046 | 0,011 | — | — | — | — | — | — | — | — | false | false | 13 904 866,7 | 0,013 | -0,027 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT |
| fb327c2775f56922 | 2026-04-01 | AL | Alabama | USA | 2013-Q2 | 2013-04-01 | 173 551,5 | 0,005 | 0,019 | 0,008 | — | — | — | — | — | — | — | — | false | false | 14 037 100 | 0,013 | 0,01 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT |
| d7bbfb71026ea790 | 2026-04-01 | AL | Alabama | USA | 2013-Q3 | 2013-07-01 | 174 634,1 | 0,006 | 0,025 | 0,025 | 1,304 | — | — | — | — | — | — | — | false | false | 14 123 666,7 | 0,023 | 0,006 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT |
| c2ccdfee18f4d106 | 2026-04-01 | AL | Alabama | USA | 2013-Q4 | 2013-10-01 | 173 675,6 | -0,005 | -0,022 | -0,006 | -4,079 | — | — | — | — | — | — | — | false | false | 14 209 466,7 | -0,005 | 0,006 | https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT |
Profilé le 1 oct. 2026 à partir de l’instantané 20260930T185109Z-b09d60800cfa
Mesuré- Complétude
- 92 %
- Lignes
- 3 120
- Colonnes
- 25
- Colonnes incomplètes
- 13
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| row_hashvarchar | 0 % | 3 689 | — |
|
| as_ofvarchar | 0 % | 1 | — |
|
| state_codevarchar | 0 % | 57 | — |
|
| state_namevarchar | 0 % | 59 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| quartervarchar | 0 % | 53 | — |
|
| quarter_startvarchar | 0 % | 58 | — |
|
| personal_income_mdouble | 0 % | 3 626 | 27 661 → 27 371 900médiane 236 771 | 64 hors du 1er–99e centile |
| income_qoqdouble | 1,7 % | 2 958 | -0,0886 → 0,1939médiane 0,0106 | 62 hors du 1er–99e centile |
| income_qoq_annualizeddouble | 1,7 % | 2 677 | -0,3101 → 1,03médiane 0,0431 | 62 hors du 1er–99e centile |
| income_yoydouble | 6,7 % | 3 837 | -0,0781 → 0,2543médiane 0,0476 | 60 hors du 1er–99e centile |
| yoy_acceleration_ppdouble | 13,3 % | 2 266 | -32,53 → 21,77médiane 0,1435 | 56 hors du 1er–99e centile |
| growth_scoredouble | 25 % | 285 | 0 → 100médiane 64,1 | |
| level_scoredouble | 18,3 % | 74 | 21,05 → 100médiane 100 | 25 hors du 1er–99e centile |
| income_momentum_indexdouble | 25 % | 484 | 13,33 → 100médiane 78,46 | 23 hors du 1er–99e centile |
| momentum_rankbigint | 25 % | 47 | 1 → 52médiane 23 | |
| momentum_tiervarchar | 25 % | 4 | — |
|
| surge_flagboolean | 25 % | 2 | — |
|
| cooling_flagboolean | 25 % | 2 | — |
|
| record_high_flagboolean | 0 % | 2 | — |
|
| preliminary_flagboolean | 0 % | 2 | — |
|
| us_pi_mdouble | 0 % | 65 | 13 392 533 → 27 371 900médiane 18 002 667 | |
| us_pi_yoydouble | 6,7 % | 60 | -0,0258 → 0,1838médiane 0,0512 | |
| us_pi_qoqdouble | 1,7 % | 53 | -0,0503 → 0,1273médiane 0,0118 | |
| provenance_urlvarchar | 0 % | 53 | — |
|
- Actuelle
20260930T185109Z-b09d60800cfa · sha256 b09d60800cfa…
3 120 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
curl "https://datazimuts.com/v1/datasets/us_state_personal_income_intel/us_state_personal_income_quarterly" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/us_state_personal_income_intel/us_state_personal_income_quarterly").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_personal_income_intel/us_state_personal_income_quarterly
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 20260930T185109Z-b09d60800cfa et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
APA
US State Personal-Income Momentum Intelligence. (2026). US state personal-income momentum intelligence (quarterly) [Data set, snapshot 20260930T185109Z-b09d60800cfa, sha256 b09d60800cfa]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/fr/datasets/us_state_personal_income_intel/us_state_personal_income_quarterly?snapshot=20260930T185109Z-b09d60800cfa
BibTeX
@misc{dz_us_state_personal_income_intel_us_state__b09d6080,
title = {{US state personal-income momentum intelligence (quarterly)}},
author = {{US State Personal-Income Momentum Intelligence}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/us_state_personal_income_intel/us_state_personal_income_quarterly?snapshot=20260930T185109Z-b09d60800cfa}},
note = {Snapshot 20260930T185109Z-b09d60800cfa, sha256 b09d60800cfa33f84289af8ec17b2388fb68908c8a6393557642fe5bba8da23f; accessed 2026-10-01}
}Intégrer un tableau ou un graphique
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HTML
<iframe src="https://datazimuts.com/embed/chart?dataset=us_state_personal_income_intel%2Fus_state_personal_income_quarterly&lang=fr&theme=auto&snapshot=20260930T185109Z-b09d60800cfa&x=row_hash&y=personal_income_m&agg=avg" title="US state personal-income momentum intelligence (quarterly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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