Key Takeaways
- The global lumber market was valued at $400 billion in 2022
- US lumber industry contributed $73 billion to GDP in 2022
- Canada's forest sector generated $108 billion CAD in economic activity in 2021
- The US lumber industry employed 850,000 workers directly and indirectly in 2022
- Canada had 210,000 jobs in the forest sector in 2022, representing 1% of total employment
- Sweden's forest industry supported 75,000 jobs in 2022
- Global deforestation for lumber averaged 10 million hectares annually from 2010-2020
- US sustainable forestry certification covered 93% of industrial timberland in 2022
- Canada managed 226 million hectares of forest with 0.02% annual deforestation rate
- US exported 8.5 billion board feet of softwood lumber in 2022
- Global wood trade volume was 180 million cubic meters in 2021
- Canada exported 26 million cubic meters of lumber in 2022
- In 2022, the United States produced approximately 35.5 billion board feet of softwood lumber
- Global sawnwood production reached 541 million cubic meters in 2021, primarily driven by coniferous species
- Canada's lumber production totaled 22.4 million cubic meters in Q1 2023
In 2022, global lumber economics hit about $400 billion, supporting millions of jobs and major forest growth worldwide.
Economic Value
Economic Value Interpretation
Employment Statistics
Employment Statistics Interpretation
Environmental Impact
Environmental Impact Interpretation
Global Trade
Global Trade Interpretation
Production Statistics
Production Statistics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Sutherland. (2026, February 27). Lumber Industry Statistics. Gitnux. https://gitnux.org/lumber-industry-statistics
David Sutherland. "Lumber Industry Statistics." Gitnux, 27 Feb 2026, https://gitnux.org/lumber-industry-statistics.
David Sutherland. 2026. "Lumber Industry Statistics." Gitnux. https://gitnux.org/lumber-industry-statistics.
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