US average weekly hours, manufacturing, monthly
Monthly US labor-utilization intelligence panel, 1939-01 onward: average weekly hours of production and nonsupervisory employees in manufacturing (hours, seasonally adjusted; FRED AWHMAN, U.S. Bureau of Labor Statistics, Current Employment Statistics, redistributed keyless via FRED fredgraph.csv). Carries 1-month and 12-month changes (levels and percents), the 3-month annualized percent change, and a contraction_flag marking months with fewer hours than a year earlier. Scope note: manufacturing production workers only — pair with us_hourly_earnings_monthly (total private) with care; the scopes are not matched. Method caveats: BLS revises history with each Employment Situation vintage (kept as published, never back-filled); genuine upstream gaps are kept as honest nulls, never imputed. Who joins this: shops and subscription businesses join hours_yoy_pct on year_month + country_code as a consumer spending-power feature — hours are cut before layoffs, so this leads unemployment.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 1 052
- Colonnes
- 12
- Cadence de la source
- Mensuelle
- Dernière actualisation
- 1 oct. 2026
- Thème
- labor
| Colonne | Type | Description |
|---|---|---|
| month_start | date | First day of the calendar month. (unit: date) |
| year_month | string | Calendar month as YYYY-MM (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) |
| hours_level | float | Average weekly hours of production and nonsupervisory employees, manufacturing (FRED AWHMAN; U.S. Bureau of Labor Statistics, Current Employment Statistics). Null for months FRED serves with no observation (genuine upstream gaps, never imputed). (unit: hours, SA) |
| hours_mom | float | 1-month change in the level (null for the first panel month). (unit: hours, SA) |
| hours_mom_pct | float | 1-month percent change in the level (null for the first panel month). (unit: percent) |
| hours_yoy | float | 12-month change in the level (null for the first panel year). (unit: hours, SA) |
| hours_yoy_pct | float | 12-month percent change in the level (null for the first panel year). (unit: percent) |
| hours_3m_ann_pct | float | 3-month annualized percent change in the level (null for the first 3 panel months). (unit: percent) |
| contraction_flag | integer | 1 when 12-month growth is negative (a lower level than a year earlier), 0 when non-negative, null when the 12-month change cannot be computed (panel warm-up year or a genuine upstream gap inside the 12-month window). (unit: flag) |
| row_hash | string | Deterministic 16-hex sha256 of year_month + the level (idempotency key). (unit: string) |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| month_start | year_month | country | country_code | hours_level | hours_mom | hours_mom_pct | hours_yoy | hours_yoy_pct | hours_3m_ann_pct | contraction_flag | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1939-01-01 | 1939-01 | United States | USA | 37,1 | — | — | — | — | — | — | 37b0942d598e0804 |
| 1939-02-01 | 1939-02 | United States | USA | 37,2 | 0,1 | 0,27 | — | — | — | — | a141e1405b7ae4b1 |
| 1939-03-01 | 1939-03 | United States | USA | 37,3 | 0,1 | 0,269 | — | — | — | — | 9345c8e57a724e47 |
| 1939-04-01 | 1939-04 | United States | USA | 37,3 | 0 | 0 | — | — | 2,174 | — | b5048930b4223611 |
| 1939-05-01 | 1939-05 | United States | USA | 37 | -0,3 | -0,804 | — | — | -2,133 | — | befcd63934f05910 |
| 1939-06-01 | 1939-06 | United States | USA | 37,4 | 0,4 | 1,081 | — | — | 1,077 | — | 290802c50f6a5beb |
| 1939-07-01 | 1939-07 | United States | USA | 37,3 | -0,1 | -0,267 | — | — | 0 | — | e1c6b151792406eb |
| 1939-08-01 | 1939-08 | United States | USA | 38,1 | 0,8 | 2,145 | — | — | 12,433 | — | a464e2f40d5b8e13 |
| 1939-09-01 | 1939-09 | United States | USA | 38,1 | 0 | 0 | — | — | 7,699 | — | 0bb31d71c825915d |
| 1939-10-01 | 1939-10 | United States | USA | 39,1 | 1 | 2,625 | — | — | 20,746 | — | ab4c4935789a4e27 |
Profilé le 1 oct. 2026 à partir de l’instantané 20261001T223326Z-95d5970c96d6
Mesuré- Complétude
- 99,7 %
- Lignes
- 1 052
- Colonnes
- 12
- Colonnes incomplètes
- 6
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| month_startdate | 0 % | 1 251 | 1 janv. 1939 → 1 août 2026 | — |
| year_monthvarchar | 0 % | 1 050 | — |
|
| countryvarchar | 0 % | 1 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| hours_leveldouble | 0 % | 72 | 37 → 45,7médiane 40,7 | 18 hors du 1er–99e centile |
| hours_momdouble | 0,1 % | 51 | -3,8 → 2,3médiane 0 | 23 hors du 1er–99e centile |
| hours_mom_pctdouble | 0,1 % | 335 | -8,5 → 6,17médiane 0 | 23 hors du 1er–99e centile |
| hours_yoydouble | 1,1 % | 109 | -5,1 → 3,8médiane 0,1 | 22 hors du 1er–99e centile |
| hours_yoy_pctdouble | 1,1 % | 556 | -11,21 → 10,11médiane 0,2415 | 22 hors du 1er–99e centile |
| hours_3m_ann_pctdouble | 0,29 % | 443 | -27,34 → 26,2médiane 0 | 22 hors du 1er–99e centile |
| contraction_flagbigint | 1,1 % | 2 | 0 → 1médiane 0 | |
| row_hashvarchar | 0 % | 993 | — |
|
- Actuelle
20261001T223326Z-95d5970c96d6 · sha256 95d5970c96d6…
1 052 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_income_intel/us_weekly_hours_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/fred_labor_income_intel/us_weekly_hours_monthly").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_income_intel/us_weekly_hours_monthly
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 20261001T223326Z-95d5970c96d6 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
US Labor-Income Intelligence (FRED, keyless). (2026). US average weekly hours, manufacturing, monthly [Data set, snapshot 20261001T223326Z-95d5970c96d6, sha256 95d5970c96d6]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/fr/datasets/fred_labor_income_intel/us_weekly_hours_monthly?snapshot=20261001T223326Z-95d5970c96d6
@misc{dz_fred_labor_income_intel_us_weekly_hours__95d5970c,
title = {{US average weekly hours, manufacturing, monthly}},
author = {{US Labor-Income Intelligence (FRED, keyless)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/fred_labor_income_intel/us_weekly_hours_monthly?snapshot=20261001T223326Z-95d5970c96d6}},
note = {Snapshot 20261001T223326Z-95d5970c96d6, sha256 95d5970c96d6627b9077de61f140b558a5214a4ba5e4dbe72c78184531d68392; accessed 2026-10-02}
}Intégrer un tableau ou un graphique
Collez ce code dans n’importe quelle page. L’intégration est épinglée au même instantané, suit le thème clair ou sombre du lecteur et affiche toujours la source, la licence et un lien de retour.
<iframe src="https://datazimuts.com/embed/chart?dataset=fred_labor_income_intel%2Fus_weekly_hours_monthly&lang=fr&theme=auto&snapshot=20261001T223326Z-95d5970c96d6&x=year_month&y=hours_level&agg=avg" title="US average weekly hours, manufacturing, monthly" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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