Canadian payroll employment & earnings intelligence (monthly)
Monthly Canadian payroll-labour intelligence from Statistics Canada's Survey of Employment, Payrolls and Hours (table 14-10-0223-01, industrial aggregate excluding unclassified businesses, seasonally adjusted): payroll employment and average weekly earnings (incl. overtime) for Canada and the 13 provinces/territories over the trailing 120 months. Per geography x month: employment and earnings levels, MoM and YoY growth, 3-month-moving-average YoY momentum, share of national payroll employment, earnings indexed to the national value, documented 0-100 payroll-vitality and earnings scores with per-month provincial ranks, jobs surge/slump and 12-month record flags, and month-level employment breadth. SEPH counts occupied payroll positions (CRA payroll census + Business Payrolls Survey), not people; self-employed excluded. 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
- 1 680
- Colonnes
- 24
- Cadence de la source
- Mensuelle
- Dernière actualisation
- 29 sept. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| month | date | date (unit: Reference month (first day of month). Monthly, seasonally adjusted SEPH estimates.) |
| country_code | string | string (unit: Constant "CAN" (ISO alpha-3) so the rows join cleanly against other normalized hub datasets.) |
| province_code | string | string (unit: ISO 3166-2 geography code: CA for the Canada total, CA-ON / CA-QC / ... for the 10 provinces, CA-YT / CA-NT / CA-NU for the territories.) |
| province_name | string | string (unit: Canonical province/territory name.) |
| payroll_employment | float | number (unit: SEPH payroll employment: occupied payroll positions (persons), monthly, seasonally adjusted, industrial aggregate excluding unclassified businesses [11-91N]. A person with two payroll jobs counts twice; self-employed excluded. Never imputed.) |
| avg_weekly_earnings | float | number (unit: Average weekly earnings including overtime for all employees (current dollars), monthly, seasonally adjusted, [11-91N]. Gross taxable payroll before source deductions. Never imputed.) |
| emp_mom_pct | float | number (unit: Month-over-month percent change of payroll employment (seasonally adjusted).) |
| emp_yoy_pct | float | number (unit: Year-over-year percent change of payroll employment.) |
| emp_yoy_3mma_pct | float | number (unit: 3-month moving average of emp_yoy_pct: the noise smoother for the YoY read.) |
| earn_mom_pct | float | number (unit: Month-over-month percent change of average weekly earnings (seasonally adjusted).) |
| earn_yoy_pct | float | number (unit: Year-over-year percent change of average weekly earnings.) |
| emp_share_national_pct | float | number (unit: The geography's share of national payroll employment that month, in percent. Null on the Canada row.) |
| earn_index_national | float | number (unit: The geography's average weekly earnings as an index of the national value (Canada = 100). Null on the Canada row.) |
| vitality_score | float | number (unit: Documented 0-100 payroll-vitality composite: 100 * min-max-within-month of clip(emp_yoy_pct, -8, +8) across the 13 provinces/territories; a degenerate month scores 50.0. High = payroll employment running hot vs the rest of the country that month. Null on the Canada row.) |
| vitality_rank | integer | integer (unit: Per-month rank of vitality_score across the 13 provinces/territories, 1 = hottest; ties broken by emp_yoy_pct desc then province_code asc. Null on the Canada row.) |
| earnings_score | float | number (unit: Documented 0-100 earnings-momentum composite: 100 * min-max-within-month of clip(earn_yoy_pct, -6, +6) across the 13 provinces/territories. Null on the Canada row.) |
| earnings_rank | integer | integer (unit: Per-month rank of earnings_score across the 13 provinces/territories, 1 = fastest wage growth; ties broken by earn_yoy_pct desc then province_code asc. Null on the Canada row.) |
| jobs_surge_flag | integer | integer (unit: 1 when emp_yoy_pct >= +3.0 (a hot payroll month for that geography), else 0.) |
| jobs_slump_flag | integer | integer (unit: 1 when emp_yoy_pct <= -2.0 (a contracting payroll month), else 0.) |
| record_high_flag | integer | integer (unit: 1 when payroll employment equals the trailing-12-month maximum (inclusive window, requires the full 12 months), else 0.) |
| breadth_share | float | number (unit: Month-level attribute, repeated on every row: the share of the 13 provinces/territories with positive emp_yoy_pct that month, in percent. Null when year-over-year history is unavailable (the first 12 fetched months).) |
| as_of | string | string (unit: Latest reference month present in the fetched panel (YYYY-MM); identical across rows and across runs on the same published vintage.) |
| source_table | string | string (unit: Statistics Canada table number: 14-10-0223-01.) |
| row_hash | string | string (unit: Deterministic 16-hex row id: sha256("SEPH|<province_code>|<month>").) |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| month | country_code | province_code | province_name | payroll_employment | avg_weekly_earnings | emp_mom_pct | emp_yoy_pct | emp_yoy_3mma_pct | earn_mom_pct | earn_yoy_pct | emp_share_national_pct | earn_index_national | vitality_score | vitality_rank | earnings_score | earnings_rank | jobs_surge_flag | jobs_slump_flag | record_high_flag | breadth_share | as_of | source_table | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-08-01 | CAN | CA | Canada | 15 683 854 | 958,3 | -0,095 | 1,017 | 1,013 | 0,083 | 1,45 | — | — | — | — | — | — | 0 | 0 | 0 | 69,231 | 2026-07 | 14-10-0223-01 | 5a68431e1faf390f |
| 2016-08-01 | CAN | CA-AB | Alberta | 1 935 830 | 1 119,62 | -0,648 | -3,361 | -3,384 | -0,239 | -0,423 | 12,343 | 116,834 | 0 | 13 | 34,206 | 12 | 0 | 1 | 0 | 69,231 | 2026-07 | 14-10-0223-01 | c8ef958d72496688 |
| 2016-08-01 | CAN | CA-BC | British Columbia | 2 100 030 | 922,43 | 0,093 | 3,365 | 3,177 | 0,402 | 1,562 | 13,39 | 96,257 | 88,158 | 2 | 63,01 | 8 | 1 | 0 | 1 | 69,231 | 2026-07 | 14-10-0223-01 | 26b2fe162d0fcbee |
| 2016-08-01 | CAN | CA-MB | Manitoba | 588 855 | 892,07 | 0,392 | 1,175 | 0,772 | 0,147 | 1,15 | 3,755 | 93,089 | 59,455 | 7 | 57,024 | 10 | 0 | 0 | 1 | 69,231 | 2026-07 | 14-10-0223-01 | b5cbcbe90b294538 |
| 2016-08-01 | CAN | CA-NB | New Brunswick | 302 922 | 870,15 | 0,138 | 1,637 | 1,556 | -0,519 | 2,109 | 1,931 | 90,801 | 65,505 | 5 | 70,935 | 3 | 0 | 0 | 0 | 69,231 | 2026-07 | 14-10-0223-01 | dc61bf0c7cc1661c |
| 2016-08-01 | CAN | CA-NL | Newfoundland and Labrador | 214 382 | 1 013,25 | -0,026 | -1,622 | -1,68 | -0,816 | 0,713 | 1,367 | 105,734 | 22,8 | 11 | 50,684 | 11 | 0 | 0 | 0 | 69,231 | 2026-07 | 14-10-0223-01 | 522507f7f233bd1d |
| 2016-08-01 | CAN | CA-NS | Nova Scotia | 398 068 | 846,89 | 0,205 | 0,246 | -0,32 | 0,182 | 2,009 | 2,538 | 88,374 | 47,282 | 9 | 69,49 | 6 | 0 | 0 | 0 | 69,231 | 2026-07 | 14-10-0223-01 | 573c9519eb58910c |
| 2016-08-01 | CAN | CA-NT | Northwest Territories | 26 424 | 1 362,46 | -0,788 | -3,038 | -3,147 | -1,691 | -2,781 | 0,168 | 142,175 | 4,234 | 12 | 0 | 13 | 0 | 1 | 0 | 69,231 | 2026-07 | 14-10-0223-01 | 77139d4a41a865f3 |
| 2016-08-01 | CAN | CA-NU | Nunavut | 14 949 | 1 266,99 | 0,525 | 4,269 | 2,361 | 0 | 2,047 | 0,095 | 132,212 | 100 | 1 | 70,034 | 5 | 1 | 0 | 1 | 69,231 | 2026-07 | 14-10-0223-01 | d57180dfdb2334d4 |
| 2016-08-01 | CAN | CA-ON | Ontario | 6 070 312 | 979,11 | -0,077 | 1,87 | 1,921 | 0,193 | 2,063 | 38,704 | 102,172 | 68,566 | 4 | 70,271 | 4 | 0 | 0 | 0 | 69,231 | 2026-07 | 14-10-0223-01 | fc01ff0c34cf2daf |
- Actuelle
20260929T034320Z-d529835be975 · sha256 d529835be975…
1 680 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 "https://datazimuts.com/v1/datasets/ca_seph_payroll_intel/ca_payroll_employment_earnings_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/ca_seph_payroll_intel/ca_payroll_employment_earnings_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)Point d’accès API : https://datazimuts.com/v1/datasets/ca_seph_payroll_intel/ca_payroll_employment_earnings_monthly
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
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Épinglé à l’instantané 20260929T034320Z-d529835be975 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
Statistics Canada. (2026). Canadian payroll employment & earnings intelligence (monthly) [Data set, snapshot 20260929T034320Z-d529835be975, sha256 d529835be975]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/fr/datasets/ca_seph_payroll_intel/ca_payroll_employment_earnings_monthly?snapshot=20260929T034320Z-d529835be975
@misc{dz_ca_seph_payroll_intel_ca_payroll_employm_d529835b,
title = {{Canadian payroll employment \& earnings intelligence (monthly)}},
author = {{Statistics Canada}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/ca_seph_payroll_intel/ca_payroll_employment_earnings_monthly?snapshot=20260929T034320Z-d529835be975}},
note = {Snapshot 20260929T034320Z-d529835be975, sha256 d529835be9756bab0cdf09f4dbf790c834bd538c39a460014c5b5cd32c125218; accessed 2026-09-30}
}Intégrer un tableau ou un graphique
Collez ce code dans n’importe quelle page. L’intégration est épinglée au même instantané, suit le thème clair ou sombre du lecteur et affiche toujours la source, la licence et un lien de retour.
<iframe src="https://datazimuts.com/embed/chart?dataset=ca_seph_payroll_intel%2Fca_payroll_employment_earnings_monthly&lang=fr&theme=auto&snapshot=20260929T034320Z-d529835be975&x=month&y=payroll_employment&agg=avg" title="Canadian payroll employment & earnings intelligence (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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