Labour

Is entry-level and early-career labour demand actually shrinking, or is this a composition effect?

What is missing: No official Statistics Canada series isolates entry-level or early-career job demand. The Job Vacancy and Wage Survey (table 14-10-0432 and related) measures vacancies by industry, province, and occupation, but not by required experience level or candidate seniority. The Bank of Canada has itself named 'entry-level job vacancy declines' as something it watches without citing a dedicated official series for it.

Consequence: Countability publishes the youth-vs-prime-age unemployment ratio and the overall vacancy rate as the closest available proxies; neither directly measures entry-level demand, and this is stated wherever they are shown together.

Is AI adoption creating, displacing, or reshaping jobs — and is the government's 250,000-AI-job target on track?

What is missing: No official series attributes job creation, displacement, or reshaping to AI adoption specifically. Statistics Canada's Labour Force Survey and business-adoption surveys measure aggregate employment and technology use separately; there is no published methodology linking the two, and the government has not stated how the 'AI for All' strategy's 250,000-job target will be measured.

Consequence: This commitment is published as a registered commitment without a compliance claim. Countability will not publish INFERRED claims attributing employment changes to AI adoption absent an official attribution methodology.

How are recent graduates actually faring in the labour market?

What is missing: Administrative earnings are now qualified from Statistics Canada table 37-10-0301-01: selected Canadian graduate cohorts through 2022, observed two years later. These data exclude some graduates and do not measure contemporaneous hiring, underemployment or whether jobs match fields of study.

Consequence: Countability publishes the available cohort earnings, with their lag and exclusions. It does not use the youth age group as a substitute for recent graduates or treat earnings among selected earners as an employment rate.

How many Temporary Foreign Worker positions are employers being approved to fill (LMIA volumes)?

What is missing: A real ESDC/IRCC open-data LMIA employer list exists, but is published as separate per-quarter CSV resources rather than one continuous machine-readable series, and carries the publisher's own completeness caveat: it 'excludes all personal names' and 'is not complete and does not reflect all employers who requested or received an LMIA.' It counts positions on positive LMIAs, including subsequently cancelled ones, not a clean approval-volume metric.

Consequence: Countability does not read LMIA volumes for this reading. Work-permit flow series (already published, IRCC IMP+TFWP monthly) are shown as related context instead, with the concepts kept explicitly distinct (permits issued vs. LMIA positions approved are different steps in the process).

How much of the current productivity slowdown does the capital record itself explain, on Statistics Canada's own official growth-accounting decomposition?

What is missing: Statistics Canada's multifactor-productivity programme (table 36-10-0208-01) is the only official source that decomposes measured labour-productivity growth into a capital-intensity contribution, a labour-composition contribution, and multifactor productivity, on one consistent accounting framework. It is published annually, roughly two and a half years behind the current quarter (2023 is the latest available year as of this Brief's evidence cutoff) — too stale to decompose the 2024-2026 stretch of the productivity slowdown this Brief's stock and flow readings cover.

Consequence: The Capital Behind Each Worker Brief can state whether measured capital per worker (stock) and real business investment per worker (flow) are rising or falling, on the issuer's own levels — and it does. It cannot state how much of the post-2019 productivity slowdown the capital record itself explains, because the one official measure built to answer that question does not yet cover the years in question. The Brief therefore reads the capital and productivity records side by side, on their own bases, and does not construct its own decomposition to bridge the gap.

Are youth wages keeping pace with inflation?

What is missing: The earlier source-absence finding was corrected on October 5, 2026. Statistics Canada table 14-10-0064-01 supplies annual median hourly wages by age through 2025; matched annual all-items CPI supplies the deflator.

Consequence: Countability now compares nominal and inflation-adjusted hourly wages of employees aged fifteen to twenty-four and twenty-five to fifty-four. This is a comparison of people in employment, not the wage offers received by all job seekers or a panel following the same workers.

Resolved 5 October 2026: Source-availability assertion corrected by direct qualification of Statistics Canada 14-10-0064-01 (annual wages by age through 2025) with matched all-items CPI. See the starting-work Big Question; remaining scope limits are explicit.

How many young Canadians are not in employment, education, or training (NEET)?

What is missing: The earlier source-absence finding was corrected on October 5, 2026. Statistics Canada table 37-10-0196-01 supplies national first-quarter NEET averages through 2025, with age groups and standard errors.

Consequence: Countability now publishes this bounded NEET comparison. It measures a first-quarter average among youth aged fifteen to twenty-nine in the provinces, not continuous year-long exclusion from work or education.

Resolved 5 October 2026: Source-availability assertion corrected by direct qualification of Statistics Canada 37-10-0196-01 (first-quarter NEET averages through 2025). See the starting-work Big Question; remaining scope limits are explicit.