# Data audit (P1) | file | SHA-256 | lines (wc -l) | matches README/bundle hash | |---|---|---|---| | data/README.md | fc449910f4cab76a205f793c65e408d852da63a3ae11b49a90c71dc3cf27f13c | 9 | yes (bundle.json) | | data/sources/statcan-daily-lfs-2026-09.txt | 7ea5fec57c87874ff5ee09a8304927a1aaed5a1837db5312fab9f7a2d5f2d0bb | 164 | yes (README and bundle.json) | Schema: plain text; lines 1-9 provenance header, line 10 separator, then release narrative with `## ` section headings (also `### ` sub-headings in the Note to readers). No tabular data; "rows" = lines. Units: rates in %, changes in persons and percent, seasonally adjusted unless stated. Date: reference month September 2026 (reference week Sept 13-19, 2026), released 2026-10-09. Relevant lines: - L16 `## Highlights`, L17: "Employment declined by 68,000 (-0.3%) ... The unemployment rate increased 0.1 percentage points to 6.5%." - L23 `## Employment falls for second consecutive month`, L24: "employment declined by 68,000 (-0.3%)" (consistent with L17). - L42 `## Unemployment rate increases to 6.5%`, L43: "The unemployment rate rose 0.1 percentage points to 6.5% in September." (consistent with L17). - L73 `## Unemployment rate up for core-aged women`, L74: women 25-54 "rose 0.3 percentage points to 5.3%"; L75: "the unemployment rate for core-aged men fell 0.2 percentage points to 5.8%". Anomalies / issues: 1. README "Rights" line mentions "RESEA Tables 2-3, London Table 3 header", and the extract header (L9) mentions regression tables; neither exists in this extract — boilerplate from other bundles. No effect on numbers. 2. Text box "The impact of population aging..." (L56-60) and layoff/job-finding/participation paragraphs (L53-55) have no own `##` heading and fall under `## Infographic 2` in the flat heading structure. Not relevant to the requested items. 3. L138 "...measure the following goals:" is followed by no list (content not reproduced). Not relevant. 4. "Note to readers", "Seasonal adjustment", "Next release" use `###` not `##`. Not relevant. No missing values / duplicates in the sense of tabular data; headline figures are printed identically in two places each (no internal inconsistency). Availability rules: the only input is the admissible extract; no violation. Nothing excluded.