Canadian industrial capacity-utilization intelligence (quarterly)

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Quarterly Canadian industrial capacity-utilization intelligence from Statistics Canada table 16-10-0109-01 (CANSIM 028-0002, keyless WDS, 1987-Q1 onward): an industry x quarter panel of utilization rates (percent of potential output) for Total industrial, 5 sub-aggregates and 28 leaf industries (Canada, quarterly actuals). Quarter-over-quarter and year-over-year changes in percentage points, each industry's gap versus its trailing-10-year mean, a documented 0-100 capacity_heat_score ranked as heat_rank with h1..h4 tiers across the 28 leaves each quarter, quarter-level tightening breadth, slack (<=75) and heat (>=85) flags, acceleration and 5-year-record-high flags. Rates are not seasonally adjusted, so YoY is the honest momentum gauge. Primary key: (quarter, industry). Cadence: quarterly; as_of is the latest published quarter, so identical input produces an identical content hash. Statistics Canada Open Licence (commercial reuse allowed); source: Statistics Canada.

Source: Statistics Canada — industrial capacity utilization rates by industry
Rows: 1,360
Columns: 21
Source cadence: Quarterly
Last refreshed: Sep 27, 2026
Theme: economy

Column	Type	Description
quarter	date	Reference quarter: first day of the quarter-start month, ISO date. (unit: date)
country_code	string	ISO alpha-3 (always CAN). (unit: ISO-3166-1 alpha-3)
industry	string	Canonical industry name (StatCan Daily wording).
naics	string	NAICS code in brackets; empty for rollup labels (Total industrial, Textiles).
industry_kind	string	'total' for Total industrial, 'aggregate' for the 5 sub-aggregates, 'leaf' for the 28 scored industries.
is_total	integer	1 for the Total industrial row.
parent_industry	string	Canonical name of the parent industry (metadata member table); empty for the total.
utilization_rate	float	Capacity utilization rate: actual output as a percent of potential output. (unit: percent)
qoq_pp	float	Quarter-over-quarter change in the rate; null for the first quarter. Rates are not seasonally adjusted — prefer yoy_pp. (unit: percentage points)
yoy_pp	float	Year-over-year change in the rate; null for the first 4 quarters. (unit: percentage points)
gap_vs_10y_mean_pp	float	Rate minus the industry's trailing 10-year (40-quarter) mean: the slack/tightness gauge. (unit: percentage points)
tightening_breadth_pct	float	Quarter-level context: percent of the 28 leaf industries with a positive yoy_pp. (unit: percent)
capacity_heat_score	float	Documented 0-100 score: 100(0.60minmax(utilization_rate) + 0.40*minmax(clip(yoy_pp, +/-12))), min-max within each quarter across the 28 leaves; null for total and aggregates. (unit: 0-100)
heat_rank	integer	Per-quarter rank of capacity_heat_score, descending (1 = tightest); null for total and aggregates.
heat_tier	string	Score quartile tier: h1 (top) .. h4; null for total and aggregates.
slack_flag	integer	1 when utilization_rate <= 75 (documented slack band).
heat_flag	integer	1 when utilization_rate >= 85 (documented heat band).
accelerating_flag	integer	1 when yoy_pp rose versus the prior quarter.
record_high_20q_flag	integer	1 when the rate is the maximum of the trailing 20 quarters (5 years).
source_table	string	StatCan table id ('16-10-0109-01').
row_hash	string	Deterministic 16-hex hash of the row's content fields (stable sort; idempotent snapshots).

First 10 sample rows — a preview, not the complete dataset.

quarter	country_code	industry	naics	industry_kind	is_total	parent_industry	utilization_rate	qoq_pp	yoy_pp	gap_vs_10y_mean_pp	capacity_heat_score	heat_rank	heat_tier	slack_flag	heat_flag	source_table	row_hash
2016-01-01	CAN	Total industrial	—	total	1	—	79.1	—	—	—	—	—	—	0	0	16-10-0109-01	bf698f2d94520d66
2016-01-01	CAN	Forestry and logging	[113]	leaf	0	Total industrial	87.9	—	—	—	—	—	h4	0	1	16-10-0109-01	41261bc13e320833
2016-01-01	CAN	Mining, quarrying and oil and gas extraction	[21]	aggregate	0	Total industrial	67.2	—	—	—	—	—	—	1	0	16-10-0109-01	53dda04f8b0bab41
2016-01-01	CAN	Oil and gas extraction	[211]	leaf	0	Mining, quarrying and oil and gas extraction	70.6	—	—	—	—	—	h4	1	0	16-10-0109-01	2ab56de21ccc7f6c
2016-01-01	CAN	Mining and quarrying	[212, 213]	leaf	0	Mining, quarrying and oil and gas extraction	62.5	—	—	—	—	—	h4	1	0	16-10-0109-01	eaf9dc6847ae862c
2016-01-01	CAN	Electric power generation, transmission and distribution	[2211]	leaf	0	Total industrial	81	—	—	—	—	—	h4	0	0	16-10-0109-01	9f3e780abda0808c
2016-01-01	CAN	Construction	[23]	leaf	0	Total industrial	82.4	—	—	—	—	—	h4	0	0	16-10-0109-01	ca2f6f4074ed8d52
2016-01-01	CAN	Manufacturing	[31-33]	aggregate	0	Total industrial	82.9	—	—	—	—	—	—	0	0	16-10-0109-01	9229956e2cfe32a2
2016-01-01	CAN	Food	[311]	leaf	0	Manufacturing	83.8	—	—	—	—	—	h4	0	0	16-10-0109-01	98fe9973bc93b69e
2016-01-01	CAN	Beverage and tobacco products	[312]	aggregate	0	Manufacturing	76	—	—	—	—	—	—	0	0	16-10-0109-01	355d0355725c29cd

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/statcan_capacity_utilization_intel/ca_capacity_utilization_quarterly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/statcan_capacity_utilization_intel/ca_capacity_utilization_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)

API endpoint: https://datazimuts.com/v1/datasets/statcan_capacity_utilization_intel/ca_capacity_utilization_quarterly

Tip: fetch /llms.txt for the full machine-readable catalog.

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Pinned to snapshot 20260927T003553Z-1bf73fa38413 and its content hash, so readers get exactly the data you used.

APA

Statistics Canada — industrial capacity utilization rates by industry. (2026). Canadian industrial capacity-utilization intelligence (quarterly) [Data set, snapshot 20260927T003553Z-1bf73fa38413, sha256 1bf73fa38413]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/en/datasets/statcan_capacity_utilization_intel/ca_capacity_utilization_quarterly?snapshot=20260927T003553Z-1bf73fa38413

BibTeX

@misc{dz_statcan_capacity_utilization_intel_ca_ca_1bf73fa3,
  title        = {{Canadian industrial capacity-utilization intelligence (quarterly)}},
  author       = {{Statistics Canada — industrial capacity utilization rates by industry}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/statcan_capacity_utilization_intel/ca_capacity_utilization_quarterly?snapshot=20260927T003553Z-1bf73fa38413}},
  note         = {Snapshot 20260927T003553Z-1bf73fa38413, sha256 1bf73fa38413888de91c3f144da7f10443506419696d292e961ca022e6f05811; accessed 2026-09-27}
}

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Canadian industrial capacity-utilization intelligence (quarterly)

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