Canadian labour-productivity industry intelligence (quarterly)

Name: Canadian labour-productivity industry intelligence (quarterly)
Creator: Statistics Canada
License: https://www.statcan.gc.ca/en/terms-conditions/open-licence
Keywords: productivity, labour, unit-labor-costs, canada, statcan, quarterly, economy, rankings

Commercial use OKFresh

Query in workbench

The full snapshot isn't published yet — check back after the next refresh.Download sample CSV Download sample JSONSample rows only (up to 20) — not the complete dataset.

Quarterly Canadian labour-productivity intelligence from Statistics Canada table 36-10-0207-01 (labour productivity and related measures by business sector industry, 2017 = 100, seasonally adjusted): published productivity, compensation-per-hour and unit-labour-cost indexes for the goods and services sector aggregates plus 16 NAICS industries, with YoY / QoQ-annualized / 5-year-CAGR productivity growth, a pay-productivity decoupling gauge, a documented 0-100 productivity-momentum score with per-quarter industry ranks, growth and elevated-cost-pressure flags, and quarter-level context: cross-industry breadth and the goods-vs-services divergence. Trailing 40 quarters (2016-Q3 onward). Statistics Canada Open Licence (commercial reuse allowed); source: Statistics Canada.

Source: Statistics Canada
Rows: 720
Columns: 21
Source cadence: Quarterly
Last refreshed: Sep 26, 2026
Theme: economy

Column	Type	Description
quarter	string	Reference quarter: first day of the quarter, ISO date (quarter-start, as the publisher releases the series). The panel covers the trailing 40 quarters ending at the latest published quarter. (unit: ISO date)
country_code	string	ISO alpha-3 country code (CAN for every row). (unit: ISO 3166-1 alpha-3)
industry_code	string	Stable industry code: goods_sector / services_sector (sector aggregates, unscored) or one of the 16 NAICS leaf industries (agriculture, mining, utilities, construction, manufacturing, wholesale, retail, transportation, information, finance_insurance, real_estate, professional, admin_support, arts, accommodation_food, other_business). Primary join key with quarter.
industry_name	string	Provider-verbatim industry name from the StatCan table.
naics	string	NAICS code range for the leaf industries (empty for sector aggregates).
is_leaf	integer	1 for the 16 non-overlapping NAICS leaf industries (the scored peer group), 0 for the sector aggregates. (unit: binary)
productivity_idx	float	Published labour-productivity index, 2017 = 100, seasonally adjusted, kept verbatim. (unit: index (2017=100))
productivity_yoy_pct	float	Year-over-year percent change of the productivity index. (unit: percent)
productivity_qoq_ann_pct	float	Quarter-over-quarter annualized growth: ((idx_t / idx_{t-1}) ** 4 - 1) * 100. (unit: percent)
productivity_5y_cagr_pct	float	5-year compound annual growth rate: ((idx_t / idx_{t-20}) ** 0.2 - 1) * 100. (unit: percent)
comp_hour_yoy_pct	float	Year-over-year percent change of the total-compensation-per-hour-worked index. (unit: percent)
ulc_yoy_pct	float	Year-over-year percent change of the unit-labour-cost index. (unit: percent)
pay_productivity_gap_pp	float	Compensation-per-hour YoY minus productivity YoY, in percentage points: the decoupling gauge. Positive = pay per hour outpacing productivity; negative = productivity outpacing pay. (unit: pp)
productivity_momentum_score	float	Documented 0-100 composite: 100 * (0.50 * min-max(winsorized productivity_yoy_pct, +/-8) + 0.30 * min-max(winsorized productivity_qoq_ann_pct, +/-8) + 0.20 * min-max(winsorized productivity_5y_cagr_pct, +/-4)), min-maxed within each quarter across the 16 leaf industries. Higher = fastest productivity momentum versus peers this quarter. Null for the sector aggregates. (unit: 0-100 score)
productivity_rank	integer	Per-quarter rank of productivity_momentum_score across the 16 leaf industries (1 = fastest). Null for the sector aggregates. (unit: rank)
productivity_growth_flag	integer	1 when productivity_yoy_pct is positive. (unit: binary)
ulc_accel_flag	integer	1 when ulc_yoy_pct exceeds 3% (documented elevated cost-pressure threshold). (unit: binary)
breadth_pos_yoy_pct	float	Quarter-level context: share of the 16 leaf industries with positive YoY productivity growth that quarter — the breadth gauge. (unit: percent)
goods_services_gap_pp	float	Quarter-level context: goods-sector minus services-sector productivity YoY, in percentage points — the structural divergence gauge. (unit: pp)
source_table	string	StatCan product ID behind the row (36100207).
row_hash	string	Deterministic 16-hex row hash of industry_code + quarter (idempotency).

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

quarter	country_code	industry_code	industry_name	naics	is_leaf	productivity_idx	productivity_yoy_pct	productivity_qoq_ann_pct	productivity_5y_cagr_pct	comp_hour_yoy_pct	ulc_yoy_pct	pay_productivity_gap_pp	productivity_momentum_score	productivity_rank	productivity_growth_flag	breadth_pos_yoy_pct	goods_services_gap_pp	source_table	row_hash
2016-07-01	CAN	goods_sector	Business sector, goods	—	0	100.576	2.862	11.764	1.878	-0.816	-3.576	-3.677	—	—	1	81.25	1.589	36100207	1e33f546d44fabf4
2016-07-01	CAN	services_sector	Business sector, services	—	0	98.569	1.273	3.014	1.06	-0.458	-1.71	-1.731	—	—	1	81.25	1.589	36100207	6252d73b1643d04c
2016-07-01	CAN	agriculture	Agriculture, forestry, fishing and hunting	[11]	1	96.662	4.249	1.778	6.652	-2.096	-6.087	-6.345	64.036	4	1	81.25	1.589	36100207	876469ebcfa6cd4c
2016-07-01	CAN	mining	Mining and oil and gas extraction	[21]	1	108.004	12.793	66.412	6.583	-0.347	-11.65	-13.14	100	1	1	81.25	1.589	36100207	579d3bf71a9d9e28
2016-07-01	CAN	utilities	Utilities	[22]	1	102.476	7.581	5.314	4.52	1.297	-5.84	-6.283	90.708	2	1	81.25	1.589	36100207	850b4e799e5c015c
2016-07-01	CAN	construction	Construction	[23]	1	101.124	1.395	5.536	0.664	-0.547	-1.914	-1.941	46.201	8	1	81.25	1.589	36100207	2e79fe9f658ff05d
2016-07-01	CAN	manufacturing	Manufacturing	[31-33]	1	100.127	0.645	1.683	1.189	0.01	-0.632	-0.635	34.144	11	1	81.25	1.589	36100207	70ecf75c6a5880a5
2016-07-01	CAN	wholesale	Wholesale trade	[41]	1	99.067	1.09	-0.775	0.989	-1.98	-3.038	-3.07	29.163	13	1	81.25	1.589	36100207	d4059b3ad07b2bd1
2016-07-01	CAN	retail	Retail trade	[44-45]	1	99.293	2.049	3.121	1.513	-1.27	-3.253	-3.319	46.505	7	1	81.25	1.589	36100207	61c3fae3a9c891a3
2016-07-01	CAN	transportation	Transportation and warehousing	[48-49]	1	98.199	2.787	6.404	1.381	1.536	-1.217	-1.251	58.521	5	1	81.25	1.589	36100207	8dca941dbfcd87f3

Profiled Sep 26, 2026 from snapshot

Measured

Completeness: 98.9%
Rows: 720
Columns: 21
Columns with gaps: 2

Column	Missing	Distinct	Range	Distribution
quartervarchar	0%	39	—	2016-07-0118 2016-10-0118 2017-01-0118
country_codevarchar	0%	1	—	CAN720
industry_codevarchar	0%	18	—	accommodation_food40 admin_support40 agriculture40
industry_namevarchar	0%	18	—	Accommodation and food services40 Administrative and support, waste management and remediation services40 Agriculture, forestry, fishing and hunting40
naicsvarchar	0%	17	—	160 [11]40 [21]40
is_leafbigint	0%	2	0 → 1median 1
productivity_idxdouble	0%	809	75.24 → 133.78median 101.54	16 outside 1st–99th percentile
productivity_yoy_pctdouble	0%	945	-23.37 → 39.86median 0.5762	16 outside 1st–99th percentile
productivity_qoq_ann_pctdouble	0%	888	-67.67 → 231.24median 0.5027	16 outside 1st–99th percentile
productivity_5y_cagr_pctdouble	0%	670	-6.56 → 7.7median 0.713	16 outside 1st–99th percentile
comp_hour_yoy_pctdouble	0%	779	-9.11 → 25.33median 3.02	16 outside 1st–99th percentile
ulc_yoy_pctdouble	0%	634	-29.98 → 46.77median 2.7	16 outside 1st–99th percentile
pay_productivity_gap_ppdouble	0%	780	-38.94 → 38.82median 2.68	16 outside 1st–99th percentile
productivity_momentum_scoredouble	11.1%	646	0 → 100median 51
productivity_rankbigint	11.1%	18	1 → 16median 8.5
productivity_growth_flagbigint	0%	2	0 → 1median 1
ulc_accel_flagbigint	0%	2	0 → 1median 0
breadth_pos_yoy_pctdouble	0%	15	18.75 → 100median 56.25
goods_services_gap_ppdouble	0%	35	-6.6 → 2.16median -1.01
source_tablevarchar	0%	1	—	36100207720
row_hashvarchar	0%	685	—	00592dc7efbb1b141 00718649f393dd5c1 00851f2201e9642b1

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_productivity_intel/ca_labour_productivity_industry_quarterly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/statcan_productivity_intel/ca_labour_productivity_industry_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_productivity_intel/ca_labour_productivity_industry_quarterly

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

Cite this snapshot

Pinned to snapshot 20260926T231936Z-096b7453c119 and its content hash, so readers get exactly the data you used.

APA

Statistics Canada. (2026). Canadian labour-productivity industry intelligence (quarterly) [Data set, snapshot 20260926T231936Z-096b7453c119, sha256 096b7453c119]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/en/datasets/statcan_productivity_intel/ca_labour_productivity_industry_quarterly?snapshot=20260926T231936Z-096b7453c119

BibTeX

@misc{dz_statcan_productivity_intel_ca_labour_pro_096b7453,
  title        = {{Canadian labour-productivity industry intelligence (quarterly)}},
  author       = {{Statistics Canada}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/statcan_productivity_intel/ca_labour_productivity_industry_quarterly?snapshot=20260926T231936Z-096b7453c119}},
  note         = {Snapshot 20260926T231936Z-096b7453c119, sha256 096b7453c11908a923b65d6314b98f425ba997fda6b94df374c78b0989f854ef; accessed 2026-09-27}
}

Embed a table or a chart

Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.

Type

X axis

Value

Aggregate

Theme

HTML

<iframe src="https://datazimuts.com/embed/chart?dataset=statcan_productivity_intel%2Fca_labour_productivity_industry_quarterly&lang=en&theme=auto&snapshot=20260926T231936Z-096b7453c119&x=quarter&y=is_leaf&agg=avg" title="Canadian labour-productivity industry intelligence (quarterly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>

Canadian labour-productivity industry intelligence (quarterly)

Follow this dataset

Cite this snapshot

Embed a table or a chart

Use your own AI key