Forest Products Data Provider · Head-to-head
Natural Resources Institute Finland (Luke) - Statistical Database vs Statistics Canada - Lumber Production, Shipments and Stocks
Which forest products data provider data fits your job: Natural Resources Institute Finland - Statistical Database, or Statistics Canada - Lumber Production, Shipments and Stocks. API, files, or your warehouse. Daily, weekly, or hourly.
Natural Resources Institute Finland (Luke) - Statistical Database
Statistics Canada - Lumber Production, Shipments and Stocks
Where the fields line up
1 shared field — join on these.
| Field | Natural Resources Institute Finland - Statistical Database | Statistics Canada - Lumber Production, Shipments and Stocks |
|---|---|---|
value | documented | Observed quantity in thousands of cubic metres once the scalar factor is applied. |
Coverage, side by side
| Natural Resources Institute Finland - Statistical Database | Statistics Canada - Lumber Production, Shipments and Stocks | |
|---|---|---|
| Geographic | Finland - whole country plus eight roundwood price regions; some tables split by ownership category | Canada national plus every province; British Columbia subdivided into coast/interior and northern/southern interior (~15 geographies) |
| Temporal | Varies by table: roundwood trade from 1949, removals from 1985, monthly trade from 2020, plus a discontinued-statistics archive | January 2014 to present |
| Granularity | Annual and monthly, by price region, ownership category, assortment and species | Monthly, by geography crossed with NAPCS species/measure combinations |
What each contains
They tie on 1 attribute. Pick by fit, not by loyalty.
| Natural Resources Institute Finland - Statistical Database | Statistics Canada - Lumber Production, Shipments and Stocks | |
|---|---|---|
| Geography | Finland - whole country plus eight roundwood price regions; some tables split by ownership category | Canada national plus every province; British Columbia subdivided into coast/interior and northern/southern interior (~15 geographies) |
| Temporal reach | Varies by table: roundwood trade from 1949, removals from 1985, monthly trade from 2020, plus a discontinued-statistics archive | January 2014 to present |
| Granularity | Annual and monthly, by price region, ownership category, assortment and species | Monthly, by geography crossed with NAPCS species/measure combinations |
| Scale | 11 forest-statistics subject areas with dozens of tables; individual tables span decades | ~15 geographies x ~30 NAPCS members - tens of thousands of observations in one tidy table |
| Field dictionary | 8 documented fields, definitions verified | 10 documented fields, definitions verified |
| Formats delivered | JSON, JSON-STAT, CSV, XLSX, PC-Axis (px), HTML table | CSV, SDMX, ZIP archive, JSON, HTML table |
| Best for | Nordic roundwood markets: trade volumes, prices, stumpage earnings, ownership structure | North American sawmill output: production, shipments and inventory stocks by commodity species group |
Or take both in one feed
They stack cleanly, joined by nothing fancier than species and calendar time. A packaging or bioeconomy strategist can pair Luke's stumpage and energy-wood series with North American supply trends to frame where fibre competition is heading. An academic studying trade liberalization can run Luke's 1949-onward trade history as the long arc and Statistics Canada's monthly panel as the modern high-resolution window.
Two practical notes from the records. Align periods before joining, because one side leans annual and the other is strictly monthly. And expect to map assortments to commodity species groups yourself - pine sawlogs are not spruce pine fir, however much the markets treat them as cousins. Or take both in one feed.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
What do Luke forest statistics and Statistics Canada lumber data have in common?
Official provenance, compact verified dictionaries and a shared unit. Eight documented fields per Luke observation and ten per Statistics Canada row, both reduced to a period stamp, classifiers and a value - and both settling volumes in thousands of cubic metres, so cross-Atlantic comparisons need no unit conversion.
Which dataset covers more geography?
Neither leaves home, which is the honest answer. For multi-country forestry comparisons you want a cross-national source instead.
Which goes back further in time?
Luke, by decades. Its roundwood trade series begin in 1949, removals reach back to 1985, and monthly trade tables start in 2020. Statistics Canada's cube runs from January 2014 to the present. Any study needing pre-2014 depth, or a seventy-year arc, only exists on the Finnish side.
Do the two datasets overlap at all?
Only conceptually: softwood fibre measured in thousands of cubic metres. One records transactions in the forest, the other output at the mill gate.
Which one should a forest products analyst sample first?
Sample both, pick by fit. Teams doing transatlantic work usually keep both in rotation.