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.
- Rows
- 1,052
- Columns
- 12
- Source cadence
- Monthly
- Last refreshed
- Oct 1, 2026
- Theme
- labor
| Column | 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) |
First 10 sample rows — a preview, not the complete dataset.
| 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 |
Profiled Oct 1, 2026 from snapshot 20261001T223326Z-95d5970c96d6
Measured- Completeness
- 99.7%
- Rows
- 1,052
- Columns
- 12
- Columns with gaps
- 6
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| month_startdate | 0% | 1,251 | Jan 1, 1939 → Aug 1, 2026 | — |
| year_monthvarchar | 0% | 1,050 | — |
|
| countryvarchar | 0% | 1 | — |
|
| country_codevarchar | 0% | 1 | — |
|
| hours_leveldouble | 0% | 72 | 37 → 45.7median 40.7 | 18 outside 1st–99th percentile |
| hours_momdouble | 0.1% | 51 | -3.8 → 2.3median 0 | 23 outside 1st–99th percentile |
| hours_mom_pctdouble | 0.1% | 335 | -8.5 → 6.17median 0 | 23 outside 1st–99th percentile |
| hours_yoydouble | 1.1% | 109 | -5.1 → 3.8median 0.1 | 22 outside 1st–99th percentile |
| hours_yoy_pctdouble | 1.1% | 556 | -11.21 → 10.11median 0.2415 | 22 outside 1st–99th percentile |
| hours_3m_ann_pctdouble | 0.29% | 443 | -27.34 → 26.2median 0 | 22 outside 1st–99th percentile |
| contraction_flagbigint | 1.1% | 2 | 0 → 1median 0 | |
| row_hashvarchar | 0% | 993 | — |
|
- Current
20261001T223326Z-95d5970c96d6 · sha256 95d5970c96d6…
1,052 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)API endpoint: https://datazimuts.com/v1/datasets/fred_labor_income_intel/us_weekly_hours_monthly
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20261001T223326Z-95d5970c96d6 and its content hash, so readers get exactly the data you used.
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/en/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/en/datasets/fred_labor_income_intel/us_weekly_hours_monthly?snapshot=20261001T223326Z-95d5970c96d6}},
note = {Snapshot 20261001T223326Z-95d5970c96d6, sha256 95d5970c96d6627b9077de61f140b558a5214a4ba5e4dbe72c78184531d68392; accessed 2026-10-02}
}Embed a table or a chart
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