Canadian EI-beneficiary stress intelligence (monthly)
Monthly Canadian Employment Insurance (regular benefits) beneficiary stress intelligence from Statistics Canada table 14-10-0011-01 (seasonally adjusted persons): one row per geography x month for Canada, the 10 provinces and the 3 territories over the trailing 10 years, with YoY / MoM / 3-month-annualized momentum, the YoY acceleration, national shares, additive sub-national contributions to Canada's YoY with the top contributor, a documented 0-100 beneficiary-stress score ranked across provinces, and accelerating/above-national/record-10y/anomaly flags. Verified 2026-09-26 against the full-table CSV download; the Canada-sum identity gate holds within 0.0067% (seasonal adjustment breaks exact additivity). Caveats: SA beneficiary counts, not unemployment rates; latest months are occasionally revised; ~3 weeks publication lag; territorial YoY moves carry small-base noise. 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
- 23
- Cadence de la source
- Mensuelle
- Dernière actualisation
- 26 sept. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| month | string | Reference month as an ISO date (first day of the month). (unit: ISO date) |
| country_code | string | ISO alpha-3 country code (CAN for every row). (unit: ISO 3166-1 alpha-3) |
| geo_name | string | Provider-verbatim geography: Canada, one of the 10 provinces, or one of the 3 territories. |
| province_code | string | Short geography code (CA/NL/PE/NS/NB/QC/ON/MB/SK/AB/BC/YT/NT/NU); primary join key with month. |
| is_national | integer | 1 for the Canada aggregate row, 0 otherwise. (unit: binary) |
| is_territory | integer | 1 for Yukon / Northwest Territories / Nunavut, 0 otherwise. Territorial series carry no stress score or rank (small-base noise). (unit: binary) |
| beneficiaries | float | Regular-benefit Employment Insurance beneficiaries in the reference month. Seasonally adjusted persons, NOT a rate. (unit: persons) |
| share_of_national_pct | float | The geography's share of Canada's beneficiaries that month. 100 on the Canada row. (unit: percent) |
| yoy_pct | float | Year-over-year percent change of beneficiaries: the headline stress measure. (unit: percent) |
| mom_pct | float | Month-over-month percent change of beneficiaries. Honest: the series is seasonally adjusted. (unit: percent) |
| ann_3m_pct | float | 3-month change of beneficiaries expressed at an annual rate: ((x_t / x_{t-3}) ** 4 - 1) * 100. (unit: percent) |
| yoy_accel_pp | float | Month-over-month change of yoy_pct, in percentage points: the acceleration of the YoY rate. (unit: pp) |
| stress_score | float | Documented 0-100 composite, computed within each month across the 10 provinces: 100 * (0.60 * mm(clip(yoy_pct, -40, +40)) + 0.40 * mm(clip(yoy_accel_pp, -15, +15))), where mm is the within-month min-max (degenerate ties map to 0.5). 100 = the most stressed province that month. Null for Canada and the territories. (unit: score 0-100) |
| stress_rank | integer | Per-month rank of stress_score across the 10 provinces (1 = most stressed). Null for Canada and the territories. (unit: rank) |
| accelerating_flag | integer | 1 when mom_pct rose versus the prior month. (unit: binary) |
| above_national_flag | integer | 1 when the geography's yoy_pct beat Canada's that month. Always 0 on the Canada row. (unit: binary) |
| record_high_10y_flag | integer | 1 when the month's beneficiaries are the maximum of the published 10-year window for that geography. (unit: binary) |
| anomaly_flag | integer | 1 when mom_pct is a >3-sigma outlier versus its trailing-12-month baseline. (unit: binary) |
| contrib_pp | float | The geography's additive contribution to Canada's yoy_pct, in percentage points: (x_{g,t} - x_{g,t-12}) / x_{CA,t-12} * 100. The 13 sub-national contributions sum to Canada's yoy_pct within seasonal-adjustment noise (0.5pp gate). Null for Canada. (unit: pp) |
| top_contributor_province | string | On Canada rows: the province/territory with the largest contrib_pp that month (deterministic tie-break by fixed geo order). Null on sub-national rows. |
| top_contributor_pp | float | The top contributor's contrib_pp, in percentage points. (unit: pp) |
| source_table | string | StatCan product ID behind the row (14100011). |
| row_hash | string | Deterministic 16-hex row hash of province_code + month (idempotency). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| month | country_code | geo_name | province_code | is_national | is_territory | beneficiaries | share_of_national_pct | yoy_pct | mom_pct | ann_3m_pct | yoy_accel_pp | stress_score | stress_rank | accelerating_flag | above_national_flag | record_high_10y_flag | anomaly_flag | contrib_pp | top_contributor_province | top_contributor_pp | source_table | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-08-01 | CAN | Canada | CA | 1 | 0 | 574 220 | 100 | 6,392 | -1,804 | 14,341 | — | — | — | 0 | 0 | 0 | 0 | — | AB | 6,485 | 14100011 | 3b1747773a488998 |
| 2016-08-01 | CAN | Newfoundland and Labrador | NL | 0 | 0 | 37 030 | 6,449 | 14,857 | -7,379 | 19,594 | — | — | — | 0 | 1 | 0 | 0 | 0,887 | — | — | 14100011 | c4da47ed08522778 |
| 2016-08-01 | CAN | Prince Edward Island | PE | 0 | 0 | 7 660 | 1,334 | 1,862 | 1,862 | 12,363 | — | — | — | 1 | 0 | 0 | 0 | 0,026 | — | — | 14100011 | e5ec123849014ee8 |
| 2016-08-01 | CAN | Nova Scotia | NS | 0 | 0 | 28 660 | 4,991 | 2,211 | 3,354 | 16,947 | — | — | — | 1 | 0 | 1 | 0 | 0,115 | — | — | 14100011 | 6279fdd1a1373e46 |
| 2016-08-01 | CAN | New Brunswick | NB | 0 | 0 | 34 040 | 5,928 | 5,354 | 2,809 | 19,606 | — | — | — | 1 | 0 | 0 | 0 | 0,321 | — | — | 14100011 | 769025398489df7b |
| 2016-08-01 | CAN | Quebec | QC | 0 | 0 | 144 550 | 25,173 | -2,83 | -1,807 | 3,16 | — | — | — | 0 | 0 | 0 | 0 | -0,78 | — | — | 14100011 | 4ca81beb0256b746 |
| 2016-08-01 | CAN | Ontario | ON | 0 | 0 | 141 090 | 24,571 | -5,366 | 8,992 | 7,042 | — | — | — | 1 | 0 | 0 | 0 | -1,482 | — | — | 14100011 | eb5bb178ddd39cbd |
| 2016-08-01 | CAN | Manitoba | MB | 0 | 0 | 15 450 | 2,691 | 2,386 | -0,834 | 0 | — | — | — | 0 | 0 | 0 | 0 | 0,067 | — | — | 14100011 | d454b8f4b784812a |
| 2016-08-01 | CAN | Saskatchewan | SK | 0 | 0 | 17 860 | 3,11 | 22,497 | -15,476 | 33,353 | — | — | — | 0 | 1 | 0 | 0 | 0,608 | — | — | 14100011 | 8a3d02a80a7664ce |
| 2016-08-01 | CAN | Alberta | AB | 0 | 0 | 89 950 | 15,665 | 63,694 | -13,385 | 43,599 | — | — | — | 0 | 1 | 0 | 0 | 6,485 | — | — | 14100011 | 4aacca1acb584012 |
- Actuelle
20260926T121639Z-37653e9cec5e · sha256 37653e9cec5e…
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_ei_beneficiary_signals/ca_ei_beneficiary_stress_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/ca_ei_beneficiary_signals/ca_ei_beneficiary_stress_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_ei_beneficiary_signals/ca_ei_beneficiary_stress_monthly
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
Citer cet instantané
Épinglé à l’instantané 20260926T121639Z-37653e9cec5e et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
Statistics Canada. (2026). Canadian EI-beneficiary stress intelligence (monthly) [Data set, snapshot 20260926T121639Z-37653e9cec5e, sha256 37653e9cec5e]. Datazimuts. Retrieved 2026-09-26, from https://datazimuts.com/fr/datasets/ca_ei_beneficiary_signals/ca_ei_beneficiary_stress_monthly?snapshot=20260926T121639Z-37653e9cec5e
@misc{dz_ca_ei_beneficiary_signals_ca_ei_benefici_37653e9c,
title = {{Canadian EI-beneficiary stress intelligence (monthly)}},
author = {{Statistics Canada}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/ca_ei_beneficiary_signals/ca_ei_beneficiary_stress_monthly?snapshot=20260926T121639Z-37653e9cec5e}},
note = {Snapshot 20260926T121639Z-37653e9cec5e, sha256 37653e9cec5ec24278eb4d2fb153bb6b36434a265bf61174a3a294f87b5abf3b; accessed 2026-09-26}
}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_ei_beneficiary_signals%2Fca_ei_beneficiary_stress_monthly&lang=fr&theme=auto&snapshot=20260926T121639Z-37653e9cec5e&x=month&y=is_national&agg=avg" title="Canadian EI-beneficiary stress intelligence (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
Posez une question sur ce jeu de données. Les réponses viennent uniquement de sa fiche, de son profil mesuré et de son historique, et citent les faits utilisés.