Soft Sawnwood Monthly Price - Yuan Renminbi per Metric Ton

Data as of March 2026

Range
Apr 2001 - Mar 2026: -298.044 (-12.45%)
Chart

Description: Soft Sawnwood, average export price of Douglas Fir, U.S. Price, Yuan Renminbi per Metric Ton

Unit: Yuan Renminbi per Metric Ton



Source: International Monetary Fund

See also: Agricultural production statistics

See also: Top commodity suppliers

See also: Commodities glossary - Definitions of terms used in commodity trading

Overview

Soft sawnwood is dimension lumber cut from softwood species such as pine, spruce, fir, and spruce-pine-fir mixes. It is typically priced by volume, with market quotations commonly expressed in US dollars per cubic meter. In commodity references, a widely used benchmark is the average export price from the United States, which reflects tradeable grades rather than retail lumber sold to end users. Soft sawnwood is a standardized industrial material used in structural framing, roof trusses, flooring substructures, pallets, packaging, and general construction. It is distinct from hardwood lumber because it is generally lighter, easier to machine, and more closely tied to mass housing and repair-and-remodel activity. Pricing is influenced by grade, moisture content, dimensions, and whether the product is kiln-dried or green. Because lumber is bulky and costly to transport relative to value, regional supply chains and freight access play an important role in market formation.

Supply Drivers

Soft sawnwood supply is shaped by forest biology, harvesting cycles, and mill capacity. Major producing regions include Canada, the United States, Scandinavia, and parts of Russia and Central Europe, where conifer forests are extensive and suited to mechanized harvesting. Unlike annual crops, timber supply depends on long growth cycles, so output responds slowly to changes in planting, thinning, and final harvest decisions. Weather affects both forest growth and logging access: drought, storms, wildfire, insect outbreaks, and freeze-thaw conditions can disrupt standing timber availability and transport. Insect and disease pressure can also alter the quality mix of logs available to mills.

Processing capacity is another constraint. Sawmills require steady log flows, energy, labor, and capital-intensive equipment, so outages or maintenance can tighten supply even when timber is available. Transport bottlenecks matter because logs and lumber are heavy and low-value relative to freight cost; rail, truck, and port access shape export competitiveness. Regional housing cycles can also affect sawmill utilization, since mills often adjust output to match construction demand and inventory conditions. Because lumber can be stored only for limited periods without quality loss, producers manage production around seasonal logging conditions and downstream demand.

Demand Drivers

Demand for soft sawnwood is driven primarily by residential construction, renovation, and light industrial uses. Structural framing in houses and low-rise buildings is the largest end use in many markets, especially where wood-frame construction is common. Demand also comes from pallets, crates, packaging, and temporary works, which link lumber consumption to manufacturing, logistics, and trade flows. In colder climates, seasonal building patterns often create stronger demand during construction seasons, while repair-and-remodel activity provides a steadier baseline.

Substitution plays an important role. Soft sawnwood competes with steel, concrete, engineered wood products, and in some applications plastic or composite materials. Wood-frame construction is favored where labor practices, building codes, and material costs support it, while engineered products can replace some dimensional lumber in structural applications. Demand is also influenced by population growth, household formation, and income conditions because housing starts and home improvement spending respond to broader economic cycles. In packaging and pallets, demand is tied to goods movement and manufacturing output rather than housing alone. Building codes, fire standards, and efficiency requirements shape the mix of wood products used, but the basic role of soft sawnwood as a versatile structural material remains persistent.

Macro and Financial Drivers

Soft sawnwood prices are sensitive to general economic activity because construction and industrial packaging are cyclical. A stronger US dollar can affect export competitiveness by making US lumber more expensive in foreign-currency terms, while a weaker dollar can support export demand. Interest rates matter because housing and construction are credit-sensitive; higher borrowing costs typically reduce building activity and lumber consumption through the financing channel. Storage and financing costs also influence market structure: lumber is bulky, degrades if poorly stored, and ties up working capital, so inventories are costly to carry. This can produce periods of backwardation when nearby supply is tight or contango when inventories are ample. Lumber prices may also correlate with broader cyclical assets through their link to construction, manufacturing, and freight conditions, though the relationship is driven by physical demand rather than financial speculation alone.

MonthPriceChange
Apr 20012,394.40-
May 20012,281.13-4.73%
Jun 20012,526.4810.76%
Jul 20012,395.50-5.18%
Aug 20012,418.530.96%
Sep 20012,341.68-3.18%
Oct 20012,270.41-3.04%
Nov 20012,392.845.39%
Dec 20012,209.68-7.65%
Jan 20022,093.17-5.27%
Feb 20022,247.037.35%
Mar 20021,998.67-11.05%
Apr 20022,054.322.78%
May 20022,103.182.38%
Jun 20022,151.622.30%
Jul 20022,378.1710.53%
Aug 20022,324.43-2.26%
Sep 20022,559.2410.10%
Oct 20022,475.07-3.29%
Nov 20022,350.54-5.03%
Dec 20022,404.952.31%
Jan 20032,441.581.52%
Feb 20032,296.77-5.93%
Mar 20032,130.31-7.25%
Apr 20032,457.4815.36%
May 20032,276.90-7.35%
Jun 20032,402.835.53%
Jul 20032,458.422.31%
Aug 20032,408.78-2.02%
Sep 20032,423.050.59%
Oct 20032,365.75-2.36%
Nov 20032,344.68-0.89%
Dec 20032,231.73-4.82%
Jan 20042,279.822.15%
Feb 20042,511.4410.16%
Mar 20042,544.221.31%
Apr 20042,476.37-2.67%
May 20042,847.9715.01%
Jun 20042,839.39-0.30%
Jul 20042,874.511.24%
Aug 20042,940.502.30%
Sep 20042,836.57-3.53%
Oct 20042,892.651.98%
Nov 20042,714.53-6.16%
Dec 20042,419.80-10.86%
Jan 20052,722.8912.53%
Feb 20052,618.27-3.84%
Mar 20052,975.5713.65%
Apr 20052,696.65-9.37%
May 20052,768.662.67%
Jun 20052,709.06-2.15%
Jul 20052,453.37-9.44%
Aug 20052,707.9110.37%
Sep 20052,679.06-1.07%
Oct 20052,682.780.14%
Nov 20052,692.800.37%
Dec 20052,579.06-4.22%
Jan 20062,490.50-3.43%
Feb 20062,612.304.89%
Mar 20062,553.38-2.26%
Apr 20062,477.87-2.96%
May 20062,625.945.98%
Jun 20062,801.156.67%
Jul 20062,860.212.11%
Aug 20062,940.812.82%
Sep 20062,819.18-4.14%
Oct 20062,944.754.45%
Nov 20062,752.89-6.52%
Dec 20062,871.634.31%
Jan 20072,765.85-3.68%
Feb 20072,866.583.64%
Mar 20072,658.88-7.25%
Apr 20072,732.482.77%
May 20072,779.701.73%
Jun 20072,591.87-6.76%
Jul 20072,342.31-9.63%
Aug 20071,885.19-19.52%
Sep 20072,380.7626.29%
Oct 20072,214.41-6.99%
Nov 20072,276.212.79%
Dec 20072,292.240.70%
Jan 20082,340.032.09%
Feb 20082,235.06-4.49%
Mar 20082,110.25-5.58%
Apr 20082,041.40-3.26%
May 20082,131.644.42%
Jun 20082,028.19-4.85%
Jul 20082,271.9412.02%
Aug 20082,158.63-4.99%
Sep 20082,134.97-1.10%
Oct 20082,218.343.90%
Nov 20082,275.212.56%
Dec 20082,157.84-5.16%
Jan 20092,380.6410.32%
Feb 20092,175.48-8.62%
Mar 20092,105.45-3.22%
Apr 20092,149.562.10%
May 20092,253.604.84%
Jun 20092,225.25-1.26%
Jul 20092,150.11-3.38%
Aug 20092,142.99-0.33%
Sep 20091,992.33-7.03%
Oct 20091,967.97-1.22%
Nov 20092,115.337.49%
Dec 20092,197.693.89%
Jan 20102,147.95-2.26%
Feb 20102,090.92-2.65%
Mar 20102,153.743.00%
Apr 20102,072.56-3.77%
May 20102,095.871.12%
Jun 20102,093.69-0.10%
Jul 20102,126.261.56%
Aug 20102,174.132.25%
Sep 20102,169.18-0.23%
Oct 20102,097.45-3.31%
Nov 20101,842.49-12.16%
Dec 20102,097.0913.82%
Jan 20112,026.71-3.36%
Feb 20111,925.83-4.98%
Mar 20111,863.83-3.22%
Apr 20111,790.17-3.95%
May 20111,860.233.91%
Jun 20111,895.291.88%
Jul 20111,986.184.80%
Aug 20112,041.862.80%
Sep 20111,945.86-4.70%
Oct 20111,987.622.15%
Nov 20111,998.120.53%
Dec 20111,877.51-6.04%
Jan 20121,968.704.86%
Feb 20121,996.461.41%
Mar 20121,903.67-4.65%
Apr 20122,017.806.00%
May 20122,091.683.66%
Jun 20122,012.60-3.78%
Jul 20121,980.56-1.59%
Aug 20122,050.793.55%
Sep 20122,051.120.02%
Oct 20121,989.15-3.02%
Nov 20122,055.873.35%
Dec 20121,881.73-8.47%
Jan 20131,896.300.77%
Feb 20131,916.701.08%
Mar 20131,956.732.09%
Apr 20132,024.553.47%
May 20132,218.579.58%
Jun 20132,186.97-1.42%
Jul 20132,155.54-1.44%
Aug 20132,131.94-1.09%
Sep 20132,032.70-4.65%
Oct 20131,991.38-2.03%
Nov 20132,040.642.47%
Dec 20132,163.236.01%
Jan 20142,066.48-4.47%
Feb 20142,083.200.81%
Mar 20142,175.424.43%
Apr 20142,055.63-5.51%
May 20142,041.26-0.70%
Jun 20142,042.860.08%
Jul 20141,984.40-2.86%
Aug 20141,970.53-0.70%
Sep 20142,015.362.27%
Oct 20141,945.51-3.47%
Nov 20142,073.156.56%
Dec 20142,079.480.31%
Jan 20152,153.593.56%
Feb 20152,066.60-4.04%
Mar 20151,978.88-4.24%
Apr 20152,067.574.48%
May 20152,025.19-2.05%
Jun 20151,874.60-7.44%
Jul 20151,843.87-1.64%
Aug 20151,937.705.09%
Sep 20151,935.57-0.11%
Oct 20151,953.480.93%
Nov 20152,005.472.66%
Dec 20151,904.84-5.02%
Jan 20162,067.868.56%
Feb 20162,142.483.61%
Mar 20162,052.13-4.22%
Apr 20162,091.921.94%
May 20162,169.463.71%
Jun 20162,180.240.50%
Jul 20162,143.13-1.70%
Aug 20162,142.13-0.05%
Sep 20162,230.174.11%
Oct 20162,231.720.07%
Nov 20162,236.980.24%
Dec 20162,238.010.05%
Jan 20172,199.21-1.73%
Feb 20172,147.01-2.37%
Mar 20172,029.37-5.48%
Apr 20172,180.087.43%
May 20172,187.740.35%
Jun 20172,245.822.65%
Jul 20172,226.60-0.86%
Aug 20172,142.05-3.80%
Sep 20172,053.36-4.14%
Oct 20172,151.824.80%
Nov 20172,216.663.01%
Dec 20172,158.07-2.64%
Jan 20182,216.212.69%
Feb 20182,129.09-3.93%
Mar 20182,127.20-0.09%
Apr 20182,086.48-1.91%
May 20182,220.166.41%
Jun 20182,303.733.76%
Jul 20182,373.273.02%
Aug 20182,312.48-2.56%
Sep 20182,347.411.51%
Oct 20182,335.33-0.51%
Nov 20182,363.891.22%
Dec 20182,548.617.81%
Jan 20192,429.64-4.67%
Feb 20192,307.49-5.03%
Mar 20192,321.950.63%
Apr 20192,249.95-3.10%
May 20192,513.2811.70%
Jun 20192,441.09-2.87%
Jul 20192,452.230.46%
Aug 20192,600.986.07%
Sep 20192,586.19-0.57%
Oct 20192,468.47-4.55%
Nov 20192,561.553.77%
Dec 20192,412.40-5.82%
Jan 20202,529.294.85%
Feb 20202,363.44-6.56%
Mar 20202,540.757.50%
Apr 20202,531.92-0.35%
May 20202,522.10-0.39%
Jun 20202,483.93-1.51%
Jul 20202,345.38-5.58%
Aug 20202,339.82-0.24%
Sep 20202,257.06-3.54%
Oct 20202,351.674.19%
Nov 20202,377.091.08%
Dec 20202,158.80-9.18%
Jan 20212,289.876.07%
Feb 20212,154.92-5.89%
Mar 20212,390.9110.95%
Apr 20212,581.067.95%
May 20212,709.664.98%
Jun 20212,803.393.46%
Jul 20212,389.23-14.77%
Aug 20212,141.01-10.39%
Sep 20211,901.41-11.19%
Oct 20211,991.624.74%
Nov 20211,979.90-0.59%
Dec 20212,009.861.51%
Jan 20222,081.263.55%
Feb 20222,146.243.12%
Mar 20222,956.5337.75%
Apr 20222,844.58-3.79%
May 20222,897.641.87%
Jun 20222,795.63-3.52%
Jul 20222,700.21-3.41%
Aug 20222,926.098.37%
Sep 20222,847.87-2.67%
Oct 20222,801.87-1.62%
Nov 20222,777.61-0.87%
Dec 20222,561.55-7.78%
Jan 20232,090.15-18.40%
Feb 20232,268.708.54%
Mar 20232,139.95-5.68%
Apr 20232,083.93-2.62%
May 20232,380.4914.23%
Jun 20232,245.51-5.67%
Jul 20232,291.462.05%
Aug 20232,342.682.24%
Sep 20232,448.394.51%
Oct 20232,326.16-4.99%
Nov 20232,198.58-5.48%
Dec 20232,252.902.47%
Jan 20242,399.346.50%
Feb 20242,361.80-1.56%
Mar 20242,461.494.22%
Apr 20242,289.78-6.98%
May 20242,355.032.85%
Jun 20242,230.85-5.27%
Jul 20242,246.050.68%
Aug 20242,182.91-2.81%
Sep 20242,331.806.82%
Oct 20242,073.75-11.07%
Nov 20242,216.736.90%
Dec 20242,583.2216.53%
Jan 20252,295.57-11.14%
Feb 20252,461.357.22%
Mar 20252,410.88-2.05%
Apr 20252,327.88-3.44%
May 20252,343.610.68%
Jun 20252,418.553.20%
Jul 20252,421.550.12%
Aug 20252,258.30-6.74%
Sep 20252,139.77-5.25%
Oct 20251,972.33-7.82%
Nov 20252,061.584.52%
Dec 20252,062.200.03%
Jan 20262,120.822.84%
Feb 20262,100.52-0.96%
Mar 20262,096.36-0.20%

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