Canadian labour-productivity industry intelligence (quarterly)
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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.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Source
- Statistics Canada
- Lignes
- 720
- Colonnes
- 21
- Cadence de la source
- Trimestrielle
- Dernière actualisation
- 26 sept. 2026
- Thème
- economy
| Colonne | 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). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| 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 | ulc_accel_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 | 0 | 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 | 0 | 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 | 0 | 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 | 0 | 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 | 0 | 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 | 0 | 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 | 0 | 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 | 0 | 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 | 0 | 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 | 0 | 81,25 | 1,589 | 36100207 | 8dca941dbfcd87f3 |
Profilé le 26 sept. 2026 à partir de l’instantané
Mesuré- Complétude
- 98,9 %
- Lignes
- 720
- Colonnes
- 21
- Colonnes incomplètes
- 2
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| quartervarchar | 0 % | 39 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| industry_codevarchar | 0 % | 18 | — |
|
| industry_namevarchar | 0 % | 18 | — |
|
| naicsvarchar | 0 % | 17 | — |
|
| is_leafbigint | 0 % | 2 | 0 → 1médiane 1 | |
| productivity_idxdouble | 0 % | 809 | 75,24 → 133,78médiane 101,54 | 16 hors du 1er–99e centile |
| productivity_yoy_pctdouble | 0 % | 945 | -23,37 → 39,86médiane 0,5762 | 16 hors du 1er–99e centile |
| productivity_qoq_ann_pctdouble | 0 % | 888 | -67,67 → 231,24médiane 0,5027 | 16 hors du 1er–99e centile |
| productivity_5y_cagr_pctdouble | 0 % | 670 | -6,56 → 7,7médiane 0,713 | 16 hors du 1er–99e centile |
| comp_hour_yoy_pctdouble | 0 % | 779 | -9,11 → 25,33médiane 3,02 | 16 hors du 1er–99e centile |
| ulc_yoy_pctdouble | 0 % | 634 | -29,98 → 46,77médiane 2,7 | 16 hors du 1er–99e centile |
| pay_productivity_gap_ppdouble | 0 % | 780 | -38,94 → 38,82médiane 2,68 | 16 hors du 1er–99e centile |
| productivity_momentum_scoredouble | 11,1 % | 646 | 0 → 100médiane 51 | |
| productivity_rankbigint | 11,1 % | 18 | 1 → 16médiane 8,5 | |
| productivity_growth_flagbigint | 0 % | 2 | 0 → 1médiane 1 | |
| ulc_accel_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| breadth_pos_yoy_pctdouble | 0 % | 15 | 18,75 → 100médiane 56,25 | |
| goods_services_gap_ppdouble | 0 % | 35 | -6,6 → 2,16médiane -1,01 | |
| source_tablevarchar | 0 % | 1 | — |
|
| row_hashvarchar | 0 % | 685 | — |
|
- Actuelle
20260926T231936Z-096b7453c119 · sha256 096b7453c119…
720 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
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)Point d’accès API : https://datazimuts.com/v1/datasets/statcan_productivity_intel/ca_labour_productivity_industry_quarterly
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
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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/fr/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/fr/datasets/statcan_productivity_intel/ca_labour_productivity_industry_quarterly?snapshot=20260926T231936Z-096b7453c119}},
note = {Snapshot 20260926T231936Z-096b7453c119, sha256 096b7453c11908a923b65d6314b98f425ba997fda6b94df374c78b0989f854ef; accessed 2026-09-27}
}Intégrer un tableau ou un graphique
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HTML
<iframe src="https://datazimuts.com/embed/chart?dataset=statcan_productivity_intel%2Fca_labour_productivity_industry_quarterly&lang=fr&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>
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