US initial jobless claims, weekly
Weekly US initial jobless-claims intelligence panel, 1967-01-07 onward: initial claims for unemployment insurance (FRED ICSA, U.S. Employment and Training Administration, seasonally adjusted, weekly ending Saturday, number of claims, redistributed keyless via FRED fredgraph.csv). Carries the trailing 4-week average (the standard ICSA read), 1-week and 52-week changes (levels and percents), the change of the 4-week average, a trailing 52-week z-score (the layoff speedometer), and an elevated_flag marking a labor-softening watch when the 52-week percent change reaches +15%. One row per Saturday x USA; in-window nulls fail loudly, never imputed. Who joins this: employment teams join hiring plans on year_week + country_code and use the 4-week average / elevated_flag as layoff-regime features; consumer-spending models use the z-score as the income-risk gauge.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 3 116
- Colonnes
- 14
- Cadence de la source
- Hebdomadaire
- Dernière actualisation
- 30 sept. 2026
- Thème
- labor
| Colonne | Type | Description |
|---|---|---|
| week_date | date | Saturday ending the claims reference week (ICSA is weekly, ending Saturday). (unit: date) |
| year_week | string | ISO calendar week as YYYY-Www (panel join key). (unit: string) |
| country | string | Country name (shared normalization layer). (unit: string) |
| country_code | string | ISO 3166-1 alpha-3 country code (USA). (unit: string) |
| initial_claims | float | Initial claims for unemployment insurance (FRED ICSA; U.S. Employment and Training Administration, seasonally adjusted). (unit: number of claims) |
| claims_4w_ma | float | Trailing 4-week average of initial claims — the standard ICSA read (null for the first 3 panel weeks). (unit: number of claims) |
| claims_wow | float | 1-week change in initial claims (null for the first panel week). (unit: number of claims) |
| claims_wow_pct | float | 1-week percent change in initial claims (null for the first panel week). (unit: percent) |
| claims_4w_ma_wow | float | 1-week change of the 4-week average — the layoff-turn gauge (null until the 4-week average has two observations). (unit: number of claims) |
| claims_yoy | float | 52-week change in initial claims (null for the first panel year). (unit: number of claims) |
| claims_yoy_pct | float | 52-week percent change in initial claims (null for the first panel year). (unit: percent) |
| claims_z_52w | float | Z-score of initial claims vs the trailing 52-week mean and sample standard deviation (null until 20 observations) — the layoff speedometer. (unit: standard deviations) |
| elevated_flag | integer | 1 when the 52-week percent change is at least +15% (documented fixed cut: the labor-softening watch), else 0 (warm-up weeks carry 0: no YoY basis). (unit: flag) |
| row_hash | string | Deterministic 16-hex sha256 of year_week + the claims level (idempotency key). (unit: string) |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| week_date | year_week | country | country_code | initial_claims | claims_4w_ma | claims_wow | claims_wow_pct | claims_4w_ma_wow | claims_yoy | claims_yoy_pct | claims_z_52w | elevated_flag | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1967-01-07 | 1967-W01 | United States | USA | 208 000 | — | — | — | — | — | — | — | 0 | e54cbc94b2a34a0a |
| 1967-01-14 | 1967-W02 | United States | USA | 207 000 | — | -1 000 | -0,481 | — | — | — | — | 0 | 77d49ae9b3e2b0d2 |
| 1967-01-21 | 1967-W03 | United States | USA | 217 000 | — | 10 000 | 4,831 | — | — | — | — | 0 | b245da677b3502b4 |
| 1967-01-28 | 1967-W04 | United States | USA | 204 000 | 209 000 | -13 000 | -5,991 | — | — | — | — | 0 | e73a2018fc2d7be6 |
| 1967-02-04 | 1967-W05 | United States | USA | 216 000 | 211 000 | 12 000 | 5,882 | 2 000 | — | — | — | 0 | aa2aa5d2383d9eda |
| 1967-02-11 | 1967-W06 | United States | USA | 229 000 | 216 500 | 13 000 | 6,019 | 5 500 | — | — | — | 0 | dad9a7599dae6d1f |
| 1967-02-18 | 1967-W07 | United States | USA | 229 000 | 219 500 | 0 | 0 | 3 000 | — | — | — | 0 | d8c2c92c661a861c |
| 1967-02-25 | 1967-W08 | United States | USA | 242 000 | 229 000 | 13 000 | 5,677 | 9 500 | — | — | — | 0 | 18566e3975e20d39 |
| 1967-03-04 | 1967-W09 | United States | USA | 310 000 | 252 500 | 68 000 | 28,099 | 23 500 | — | — | — | 0 | 91614284a387d19a |
| 1967-03-11 | 1967-W10 | United States | USA | 241 000 | 255 500 | -69 000 | -22,258 | 3 000 | — | — | — | 0 | be9fb7815f305cbc |
Profilé le 30 sept. 2026 à partir de l’instantané
Mesuré- Complétude
- 99,7 %
- Lignes
- 3 116
- Colonnes
- 14
- Colonnes incomplètes
- 7
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| week_datedate | 0 % | 3 069 | 7 janv. 1967 → 19 sept. 2026 | — |
| year_weekvarchar | 0 % | 3 605 | — |
|
| countryvarchar | 0 % | 1 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| initial_claimsdouble | 0 % | 478 | 162 000 → 6 137 000médiane 338 000 | 61 hors du 1er–99e centile |
| claims_4w_madouble | 0,1 % | 1 238 | 179 000 → 5 288 250médiane 338 000 | 64 hors du 1er–99e centile |
| claims_wowdouble | 0,03 % | 131 | -1 268 000 → 3 032 000médiane -1 000 | 63 hors du 1er–99e centile |
| claims_wow_pctdouble | 0,03 % | 2 445 | -25 → 967,4médiane -0,2353 | 64 hors du 1er–99e centile |
| claims_4w_ma_wowdouble | 0,13 % | 203 | -835 250 → 1 482 250médiane -250 | 63 hors du 1er–99e centile |
| claims_yoydouble | 1,7 % | 683 | -5 492 000 → 5 941 000médiane -10 000 | 62 hors du 1er–99e centile |
| claims_yoy_pctdouble | 1,7 % | 3 375 | -89,49 → 3 031médiane -3,36 | 62 hors du 1er–99e centile |
| claims_z_52wdouble | 0,61 % | 3 081 | -3,29 → 7,07médiane -0,3924 | 62 hors du 1er–99e centile |
| elevated_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| row_hashvarchar | 0 % | 3 036 | — |
|
- Actuelle
20260930T101342Z-73dfe9b3c2fe · sha256 73dfe9b3c2fe…
3 116 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/fred_labor_claims_intel/us_initial_claims_weekly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/fred_labor_claims_intel/us_initial_claims_weekly").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/fred_labor_claims_intel/us_initial_claims_weekly
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 20260930T101342Z-73dfe9b3c2fe et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
US Initial Jobless-Claims Intelligence (FRED, keyless). (2026). US initial jobless claims, weekly [Data set, snapshot 20260930T101342Z-73dfe9b3c2fe, sha256 73dfe9b3c2fe]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/fr/datasets/fred_labor_claims_intel/us_initial_claims_weekly?snapshot=20260930T101342Z-73dfe9b3c2fe
@misc{dz_fred_labor_claims_intel_us_initial_claim_73dfe9b3,
title = {{US initial jobless claims, weekly}},
author = {{US Initial Jobless-Claims Intelligence (FRED, keyless)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/fred_labor_claims_intel/us_initial_claims_weekly?snapshot=20260930T101342Z-73dfe9b3c2fe}},
note = {Snapshot 20260930T101342Z-73dfe9b3c2fe, sha256 73dfe9b3c2fe065889c8b4c3c6cccdcad4ad31146b33d8bb903a29e6640758f1; accessed 2026-09-30}
}Intégrer un tableau ou un graphique
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<iframe src="https://datazimuts.com/embed/chart?dataset=fred_labor_claims_intel%2Fus_initial_claims_weekly&lang=fr&theme=auto&snapshot=20260930T101342Z-73dfe9b3c2fe&x=week_date&y=initial_claims&agg=avg" title="US initial jobless claims, weekly" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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