Forest Products Data Provider · Head-to-head
Natural Resources Canada - Forest Statistical Data vs Swedish Forest Agency - Official Forestry Statistics
Which forest products data provider data fits your job: Natural Resources Canada - Forest Statistical Data, or Swedish Forest Agency - Official Forestry Statistics. API, files, or your warehouse. Daily, weekly, or hourly.
Natural Resources Canada - Forest Statistical Data
Swedish Forest Agency - Official Forestry Statistics
Where the fields line up
No shared field names. These two answer different questions.
| Field | Natural Resources Canada - Forest Statistical Data | Swedish Forest Agency - Official Forestry Statistics |
|---|---|---|
Year | documented | not in this set |
Jurisdiction | documented | not in this set |
Area (hectares) | documented | not in this set |
Volume (cubic metres) | documented | not in this set |
Trade Type | documented | not in this set |
Commodity Group | documented | not in this set |
Product | documented | not in this set |
Value (dollars) | documented | not in this set |
Industry / Product | documented | not in this set |
Quarter / period end | not in this set | documented |
Region (landsdel / virkesbalansområde) | not in this set | documented |
Assortment (sortiment) | not in this set | documented |
Coverage, side by side
| Natural Resources Canada - Forest Statistical Data | Swedish Forest Agency - Official Forestry Statistics | |
|---|---|---|
| Geographic | Canada - national total plus provinces and territories | Sweden - national total plus four landsdelar and timber balance regions |
| Temporal | Harvest series run from 2000; economy revenue series from 2012 | Coniferous sawtimber, pulpwood and chip stocks from 1953 (regional quarterly from 2013); roundwood price series since the late 1960s |
What each contains
They tie on 2 attributes. Pick by fit, not by loyalty.
| Natural Resources Canada - Forest Statistical Data | Swedish Forest Agency - Official Forestry Statistics | |
|---|---|---|
| Publisher | Canadian Forest Service of Natural Resources Canada | Swedish Forest Agency (Skogsstyrelsen), responsible for the Official Statistics of Sweden in forestry |
| Subject | Canada's forests in numbers: carbon, consumption, disturbance, economy, employment, inventory, investment, forest management and trade | Swedish forestry: felling, roundwood prices, timber stocks, forest land prices, silviculture, property and ownership structure, protected forest, foreign trade |
| Geographic coverage | Canada - national total plus provinces and territories | Sweden - national total plus four landsdelar and timber balance regions |
| Temporal coverage | Harvest series run from 2000; economy revenue series from 2012 | Coniferous sawtimber, pulpwood and chip stocks from 1953 (regional quarterly from 2013); roundwood price series since the late 1960s |
| Detail level | One row per year and jurisdiction; trade rows also split by commodity group and product | Quarter-end stock and price observations by region, assortment and delivery form; annual for most other subjects |
| Formats | CSV, HTML tables, interactive charts | HTML tables, XLSX |
| Delivery cadence | Daily, weekly, or hourly - your call | Daily, weekly, or hourly - your call |
| Best for | Trade flows, provincial harvest screening, sector GDP, employment and carbon context | Timber price benchmarks, stock monitoring, ownership structure and silviculture analysis |
What each does better
Natural Resources Canada - Forest Statistical Data
Whole-value-chain breadth in one schema. Ten categories stretch from standing carbon accounts to maple product exports - GHG inventories beside housing starts, wages and salaries, capital expenditure and certification uptake. The Swedish dictionary documents seven fields centred on the domestic timber market; it carries no carbon block and no disturbance block anywhere in its columns.
Province-level geography as a first-class column. Jurisdiction separates the national total from each province and territory, so a harvest screen resolves to the row level: British Columbia at 212,563 hectares harvested in 2000, Alberta at 73,488, against Canada's 1,076,845.
Product-level trade in money, not just tonnes. Trade Type, Commodity Group, Product and Value (dollars) make each trade flow addressable - the sample row reads Exports, Primary Wood Products, Logs, 482,583,486 current Canadian dollars. Sweden lists foreign trade as a subject area, but its seven documented columns carry no trade values.
Field definitions verified, not inferred. The record cleared verification during research - part of the 85.7% of Datadory's 1,744 cataloged datasets confirmed rather than inferred; the Swedish dictionary is marked inferred.
Swedish Forest Agency - Official Forestry Statistics
Natural Resources Canada's harvest series begin at 2000 and its economy revenue series at 2012, capping any backtest at two decades.
A live read on market inventories. Quarter-end stock readings cover timber held at forest industry sites, terminals and roadside: 9.7 million m3f ub over bark nationally at 30 June 2026, after a Q1 2026 respondent review added roughly 350,000 m3f ub of coverage. The Canadian volume figure is what was cut, never what is held.
Structure behind the harvest numbers. Property counts and sizes, owner age and gender, soil scarification, planting and protected forest split into habitat protection, voluntary set-asides and certified area - texture the Canadian categories touch only through one certification indicator.
Where they're equivalent
Official national mandates. One is compiled by the Canadian Forest Service of Natural Resources Canada; the other is Skogsstyrelsen's statutory brief as holder of the Official Statistics of Sweden in forestry - each the national reference for its country, neither a commercial aggregation.
Small, unit-explicit tabular dictionaries. Nine documented columns against seven, each carrying stated units - hectares, cubic metres and current dollars on the Canadian side; SEK per cubic metre and m3f ub on the Swedish side - so both drop into a model without unit archaeology.
Harvest volume sits in both. Volume (cubic metres) on one side answers Felled area / volume on the other, which is why the two can be lined up as competing supply measures once currency and period are handled.
The verdict
Verdict: sample both, pick by fit - they are different instruments pointed at the same industry.
Take Natural Resources Canada - Forest Statistical Data if your question crosses borders or provinces. Export and import flows by commodity group and product in current dollars, provincial harvest screening down to British Columbia or Alberta, sector GDP and housing starts linkage, employment and wage series, or carbon and disturbance context around a sourcing decision. Accept an annual observation rhythm and a harvest ledger that starts at 2000.
If the work starts with "what did Canada export, and from where" - Natural Resources Canada. If it starts with "what is softwood fetching in Södra Norrland this quarter" - Skogsstyrelsen. See the data-scientist and investors-and-quants breakdowns for the industry if the use case sits between those poles.
Sample both, pick by fit. See Natural Resources Canada - Forest Statistical Data · See Swedish Forest Agency - Official Forestry Statistics
Or take both in one feed
Yes - as two halves of one transatlantic wood-basket workflow rather than as substitutes.
Size the supply side with the Canadian record: harvested hectares and cubic metres by province, exports by commodity group and product in current dollars.
Two cautions from the records. First, there is no shared join key: Year and Jurisdiction against Quarter / period end, Region, Assortment and Delivery form, so the bridge is a commodity mapping you maintain. Second, mind the units - current Canadian dollars against SEK per cubic metre, annual rows against quarter-end readings - and align periods deliberately rather than letting whichever table loaded last set the terms.
Or take both in one feed: Datadory delivers them next to the rest of the 17-record Forest Products slice, normalized to their documented field dictionaries, delivered daily, weekly, or hourly - your call.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Is Natural Resources Canada - Forest Statistical Data better than Swedish Forest Agency - Official Forestry Statistics?
Better at different jobs. Natural Resources Canada wins breadth: about 22 indicators across ten categories from carbon and disturbance to product-level trade values in current dollars, with province-level jurisdictions. Both score 8/10.
Do Natural Resources Canada - Forest Statistical Data and Swedish Forest Agency - Official Forestry Statistics cover the same ground?
Only partially. Three concepts overlap - a time key, a geography key and a harvest-volume measure - but no column name repeats. They complement rather than substitute.
Which goes back further, Natural Resources Canada - Forest Statistical Data or Swedish Forest Agency - Official Forestry Statistics?
Swedish Forest Agency - Official Forestry Statistics, by decades. The Canadian harvest series run from 2000 and its economy revenue series from 2012, so long-cycle studies need the Swedish side.
How current can Natural Resources Canada - Forest Statistical Data and Swedish Forest Agency - Official Forestry Statistics be?
On Datadory's terms: delivered daily, weekly, or hourly - your call. Your pipeline receives whichever slice you ask for, validated against sample rows.
Can I get both Natural Resources Canada - Forest Statistical Data and Swedish Forest Agency - Official Forestry Statistics from Datadory?
Yes - sample both and pick by fit, or take both in one feed. Datadory normalizes each to its documented field dictionary (nine columns for the Canadian record, seven for the Swedish), attaches sample rows for validation, and ships them alongside the rest of the 17-record Forest Products slice.