US manufacturing capacity utilization (monthly)
Monthly capacity utilization rate for US manufacturing (NAICS) — the output index divided by the capacity index, i.e. the greatest level of output a plant can sustain under a realistic work schedule — in percent, seasonally adjusted, from the Federal Reserve Board's G.17 release via keyless FRED. The pricing-power gauge: high utilization means slack is gone and producers can pass costs through. Derived columns: month-over-month and year-over-year change (percentage points), deviation from the trailing-12-month mean, and 12-month record-high/low flags. Caveats: seasonally adjusted; the latest month is preliminary and routinely revised. Board of Governors of the Federal Reserve System (US) — U.S. federal public domain; cite "Board of Governors of the Federal Reserve System (US), Capacity Utilization: Manufacturing (NAICS) [MCUMFN], retrieved from FRED".
- Rows
- 656
- Columns
- 11
- Source cadence
- Monthly
- Last refreshed
- Oct 2, 2026
- Theme
- economy
| Column | Type | Description |
|---|---|---|
| date | string | Observation month as an ISO date (first of the month); G.17 publishes mid-month for the prior month. |
| year_month | string | Observation month as YYYY-MM — the join key for persona models (sales territories, shop orders, subscription cohorts all join on year_month). |
| country | string | Country name, 'United States' (all series are US national). |
| country_code | string | ISO 3166-1 alpha-3 code 'USA' — the join key for the 'Enrich with public data' feature. |
| capacity_util_pct | float | Manufacturing capacity utilization: the output index divided by the capacity index — the share of sustainable-maximum output in use. High values mean slack is gone and producers can pass costs through (the pricing-power gauge). (unit: Percent, Seasonally Adjusted) |
| mom_pct | float | Month-over-month change of the level series, in percent. Null for the first observation — never back-filled. (unit: percent) |
| yoy_pct | float | Year-over-year change of the level series, in percent. Null for the first 12 observations — never back-filled. (unit: percent) |
| vs_12m_avg_pp | float | Deviation of the level series from its trailing-12-month mean, in index points for production series and percentage points for capacity utilization — the momentum-vs-trend gauge. (unit: percentage points) |
| record_high_12m_flag | integer | 1 when the print equals the trailing-12-month maximum (inclusive, requires >= 12 observations), 0 otherwise. |
| record_low_12m_flag | integer | 1 when the print equals the trailing-12-month minimum (inclusive, requires >= 12 observations), 0 otherwise. |
| row_hash | string | Deterministic 16-hex row identity (date + value) for change detection. |
First 10 sample rows — a preview, not the complete dataset.
| date | year_month | country | country_code | capacity_util_pct | mom_pct | yoy_pct | vs_12m_avg_pp | record_high_12m_flag | record_low_12m_flag | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|
| 1972-01-01 | 1972-01 | United States | USA | 81.326 | — | — | — | 0 | 0 | 198a020393a8a22c |
| 1972-02-01 | 1972-02 | United States | USA | 81.733 | 0.501 | — | — | 0 | 0 | 962e3d60ebf7a0cd |
| 1972-03-01 | 1972-03 | United States | USA | 82.064 | 0.404 | — | — | 0 | 0 | 06e136af039ada66 |
| 1972-04-01 | 1972-04 | United States | USA | 82.792 | 0.887 | — | — | 0 | 0 | 4b25b15e623ebf83 |
| 1972-05-01 | 1972-05 | United States | USA | 82.728 | -0.076 | — | — | 0 | 0 | 16c224a74a2d5a5a |
| 1972-06-01 | 1972-06 | United States | USA | 82.759 | 0.037 | — | — | 0 | 0 | 48295ca6a9e273f7 |
| 1972-07-01 | 1972-07 | United States | USA | 82.514 | -0.296 | — | — | 0 | 0 | 33e122e7b0dc8da7 |
| 1972-08-01 | 1972-08 | United States | USA | 83.401 | 1.075 | — | — | 0 | 0 | d452faffe1c30645 |
| 1972-09-01 | 1972-09 | United States | USA | 83.784 | 0.459 | — | — | 0 | 0 | 0c2769410e3c7bf5 |
| 1972-10-01 | 1972-10 | United States | USA | 84.787 | 1.197 | — | — | 0 | 0 | dca76135c867c51e |
- Current
20261002T052844Z-eac6369c2dc2 · sha256 eac6369c2dc2…
656 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_manufacturing_pack/us_capacity_utilization_manufacturing_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/fred_manufacturing_pack/us_capacity_utilization_manufacturing_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_manufacturing_pack/us_capacity_utilization_manufacturing_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 20261002T052844Z-eac6369c2dc2 and its content hash, so readers get exactly the data you used.
US Manufacturing Intelligence Pack (FRED, keyless). (2026). US manufacturing capacity utilization (monthly) [Data set, snapshot 20261002T052844Z-eac6369c2dc2, sha256 eac6369c2dc2]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/en/datasets/fred_manufacturing_pack/us_capacity_utilization_manufacturing_monthly?snapshot=20261002T052844Z-eac6369c2dc2
@misc{dz_fred_manufacturing_pack_us_capacity_util_eac6369c,
title = {{US manufacturing capacity utilization (monthly)}},
author = {{US Manufacturing Intelligence Pack (FRED, keyless)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/fred_manufacturing_pack/us_capacity_utilization_manufacturing_monthly?snapshot=20261002T052844Z-eac6369c2dc2}},
note = {Snapshot 20261002T052844Z-eac6369c2dc2, sha256 eac6369c2dc2db2025b6984e7980d421f7cd90385445704c5815eb9b8f56829d; accessed 2026-10-02}
}Embed a table or a chart
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