Manufacturing sales, by industry, Canada, monthly
Monthly manufacturing sales by industry for Canada (table 16-10-0047-01, 'Sales of goods manufactured (shipments)', seasonally adjusted) from Statistics Canada: in thousands of dollars for the headline total, the durable-goods and non-durable-goods aggregates, and the 21 NAICS 3-digit subsectors — food, beverage and tobacco, petroleum and coal, chemical, primary metal, machinery, transportation equipment and more. Coverage 1992-01 to the present. Caveats: values in thousands of dollars (kept verbatim — multiply by 1,000 for dollar amounts); the latest month is preliminary and occasionally revised; durable + non-durable = total within 1 (the publisher rounds each component independently to the nearest thousand). Statistics Canada Open Licence (commercial reuse allowed); source: Statistics Canada.
- Source
- Statistics Canada
- Rows
- 9,960
- Columns
- 6
- Source cadence
- Monthly
- Last refreshed
- Sep 26, 2026
- Theme
- economy
| Column | Type | Description |
|---|---|---|
| month | string | Reference month, as an ISO date (the first day of the month). |
| country_code | string | ISO 3166-1 alpha-3 code for Canada (CAN) — the join key for the 'Enrich with public data' feature. |
| geo_name | string | Geography as published by Statistics Canada: one of the 10 provinces or 3 territories for the by-province dataset, 'Canada' for the by-industry dataset. |
| naics_code | string | NAICS 3-digit subsector code extracted from the provider's label (e.g. '311' for food manufacturing). The durable-goods and non-durable-goods aggregates have no code and are identified by their labels; the headline total is '31-33'. |
| naics_label | string | Provider-verbatim industry label (e.g. 'Food manufacturing [311]'). 'Durable goods industries' and 'Non-durable goods industries' are the publisher's own aggregates and sum to the 'Manufacturing [31-33]' total within +/-1 thousand (the publisher rounds each component independently). |
| sales_thousands | float | Sales of goods manufactured (shipments), seasonally adjusted, as published: in thousands of Canadian dollars (multiply by 1,000 for dollar amounts). Non-negative float; genuine upstream gaps are missing, never zero-filled. The latest month is preliminary and may be revised. (unit: thousands of CAD, seasonally adjusted) |
First 10 sample rows — a preview, not the complete dataset.
| month | country_code | geo_name | naics_code | naics_label | sales_thousands |
|---|---|---|---|---|---|
| 1992-01-01 | CAN | Canada | 31-33 | Manufacturing [31-33] | 22,442,286 |
| 1992-01-01 | CAN | Canada | Durable goods industries | Durable goods industries | 11,711,538 |
| 1992-01-01 | CAN | Canada | Non-durable goods industries | Non-durable goods industries | 10,730,748 |
| 1992-01-01 | CAN | Canada | 311 | Food manufacturing [311] | 3,253,229 |
| 1992-01-01 | CAN | Canada | 312 | Beverage and tobacco product manufacturing [312] | 729,328 |
| 1992-01-01 | CAN | Canada | 313 | Textile mills [313] | 222,785 |
| 1992-01-01 | CAN | Canada | 314 | Textile product mills [314] | 148,489 |
| 1992-01-01 | CAN | Canada | 315 | Apparel manufacturing [315] | 497,186 |
| 1992-01-01 | CAN | Canada | 316 | Leather and allied product manufacturing [316] | 74,071 |
| 1992-01-01 | CAN | Canada | 321 | Wood product manufacturing [321] | 1,069,139 |
- Current
20260926T105053Z-32daf88d6297 · sha256 32daf88d6297…
9,960 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/statcan_manufacturing/statcan_manufacturing_sales_by_industry_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/statcan_manufacturing/statcan_manufacturing_sales_by_industry_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/statcan_manufacturing/statcan_manufacturing_sales_by_industry_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 20260926T105053Z-32daf88d6297 and its content hash, so readers get exactly the data you used.
Statistics Canada. (2026). Manufacturing sales, by industry, Canada, monthly [Data set, snapshot 20260926T105053Z-32daf88d6297, sha256 32daf88d6297]. Datazimuts. Retrieved 2026-09-26, from https://datazimuts.com/en/datasets/statcan_manufacturing/statcan_manufacturing_sales_by_industry_monthly?snapshot=20260926T105053Z-32daf88d6297
@misc{dz_statcan_manufacturing_statcan_manufactur_32daf88d,
title = {{Manufacturing sales, by industry, Canada, monthly}},
author = {{Statistics Canada}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/statcan_manufacturing/statcan_manufacturing_sales_by_industry_monthly?snapshot=20260926T105053Z-32daf88d6297}},
note = {Snapshot 20260926T105053Z-32daf88d6297, sha256 32daf88d6297504ba7a49720cb5394e64991bdd6d80756f6c05e247649f7970e; accessed 2026-09-26}
}Embed a table or a chart
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