Name: Canadian EI-beneficiary stress intelligence (monthly)
Creator: Statistics Canada
License: https://www.statcan.gc.ca/en/terms-conditions/open-licence
Keywords: labour, unemployment, employment-insurance, canada, statcan, monthly, rankings

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.

Source: Statistics Canada
Rows: 1,680
Columns: 23
Source cadence: Monthly
Last refreshed: Sep 26, 2026
Theme: economy

Column	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).

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

month	country_code	geo_name	province_code	is_national	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	contrib_pp	top_contributor_province	top_contributor_pp	source_table	row_hash
2016-08-01	CAN	Canada	CA	1	574,220	100	6.392	-1.804	14.341	—	—	—	0	0	0	—	AB	6.485	14100011	3b1747773a488998
2016-08-01	CAN	Newfoundland and Labrador	NL	0	37,030	6.449	14.857	-7.379	19.594	—	—	—	0	1	0	0.887	—	—	14100011	c4da47ed08522778
2016-08-01	CAN	Prince Edward Island	PE	0	7,660	1.334	1.862	1.862	12.363	—	—	—	1	0	0	0.026	—	—	14100011	e5ec123849014ee8
2016-08-01	CAN	Nova Scotia	NS	0	28,660	4.991	2.211	3.354	16.947	—	—	—	1	0	1	0.115	—	—	14100011	6279fdd1a1373e46
2016-08-01	CAN	New Brunswick	NB	0	34,040	5.928	5.354	2.809	19.606	—	—	—	1	0	0	0.321	—	—	14100011	769025398489df7b
2016-08-01	CAN	Quebec	QC	0	144,550	25.173	-2.83	-1.807	3.16	—	—	—	0	0	0	-0.78	—	—	14100011	4ca81beb0256b746
2016-08-01	CAN	Ontario	ON	0	141,090	24.571	-5.366	8.992	7.042	—	—	—	1	0	0	-1.482	—	—	14100011	eb5bb178ddd39cbd
2016-08-01	CAN	Manitoba	MB	0	15,450	2.691	2.386	-0.834	0	—	—	—	0	0	0	0.067	—	—	14100011	d454b8f4b784812a
2016-08-01	CAN	Saskatchewan	SK	0	17,860	3.11	22.497	-15.476	33.353	—	—	—	0	1	0	0.608	—	—	14100011	8a3d02a80a7664ce
2016-08-01	CAN	Alberta	AB	0	89,950	15.665	63.694	-13.385	43.599	—	—	—	0	1	0	6.485	—	—	14100011	4aacca1acb584012

Sep 26, 2026Current
20260926T121639Z-37653e9cec5e · sha256 37653e9cec5e…
1,680 rows · first snapshot

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

cURL

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

Python

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)

API endpoint: https://datazimuts.com/v1/datasets/ca_ei_beneficiary_signals/ca_ei_beneficiary_stress_monthly

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

Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.

Cite this snapshot

Pinned to snapshot 20260926T121639Z-37653e9cec5e and its content hash, so readers get exactly the data you used.

APA

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/en/datasets/ca_ei_beneficiary_signals/ca_ei_beneficiary_stress_monthly?snapshot=20260926T121639Z-37653e9cec5e

BibTeX

@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/en/datasets/ca_ei_beneficiary_signals/ca_ei_beneficiary_stress_monthly?snapshot=20260926T121639Z-37653e9cec5e}},
  note         = {Snapshot 20260926T121639Z-37653e9cec5e, sha256 37653e9cec5ec24278eb4d2fb153bb6b36434a265bf61174a3a294f87b5abf3b; accessed 2026-09-26}
}

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=ca_ei_beneficiary_signals%2Fca_ei_beneficiary_stress_monthly&lang=en&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>

Sign in to comment

Ask about this dataset. Answers come only from its catalog record, measured profile and change history, and list the facts they used.

Canadian EI-beneficiary stress intelligence (monthly)

Follow this dataset

Cite this snapshot

Embed a table or a chart

Use your own AI key