Soft Sawnwood Monthly Price - Baht per Metric Ton

Data as of March 2026

Range
Apr 2006 - Mar 2026: -1,970.856 (-16.72%)
Chart

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

Unit: Baht 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 200611,789.55-
May 200612,443.895.55%
Jun 200613,412.537.78%
Jul 200613,612.981.49%
Aug 200613,881.821.97%
Sep 200613,295.68-4.22%
Oct 200613,920.694.70%
Nov 200612,813.27-7.96%
Dec 200613,075.842.05%
Jan 200712,773.60-2.31%
Feb 200713,220.883.50%
Mar 200712,057.99-8.80%
Apr 200712,341.312.35%
May 200712,535.661.57%
Jun 200711,742.43-6.33%
Jul 200710,435.93-11.13%
Aug 20078,504.49-18.51%
Sep 200710,841.3827.48%
Oct 200710,090.44-6.93%
Nov 200710,391.572.98%
Dec 200710,482.870.88%
Jan 200810,721.422.28%
Feb 200810,188.72-4.97%
Mar 20089,397.67-7.76%
Apr 20089,209.74-2.00%
May 20089,810.096.52%
Jun 20089,746.94-0.64%
Jul 200811,136.5214.26%
Aug 200810,655.49-4.32%
Sep 200810,719.900.60%
Oct 200811,165.284.15%
Nov 200811,683.814.64%
Dec 200811,063.61-5.31%
Jan 200912,156.119.87%
Feb 200911,218.21-7.72%
Mar 200911,028.94-1.69%
Apr 200911,160.491.19%
May 200911,398.562.13%
Jun 200911,122.19-2.42%
Jul 200910,714.27-3.67%
Aug 200910,670.84-0.41%
Sep 20099,877.40-7.44%
Oct 20099,632.33-2.48%
Nov 200910,315.637.09%
Dec 200910,695.083.68%
Jan 201010,396.51-2.79%
Feb 201010,153.52-2.34%
Mar 201010,266.441.11%
Apr 20109,800.89-4.53%
May 20109,936.941.39%
Jun 20109,975.130.38%
Jul 201010,143.951.69%
Aug 201010,177.040.33%
Sep 20109,916.27-2.56%
Oct 20109,418.71-5.02%
Nov 20108,263.59-12.26%
Dec 20109,491.5614.86%
Jan 20119,386.89-1.10%
Feb 20118,983.30-4.30%
Mar 20118,620.08-4.04%
Apr 20118,236.42-4.45%
May 20118,655.245.09%
Jun 20118,928.763.16%
Jul 20119,238.003.46%
Aug 20119,522.993.08%
Sep 20119,284.07-2.51%
Oct 20119,660.624.06%
Nov 20119,747.120.90%
Dec 20119,265.40-4.94%
Jan 20129,837.786.18%
Feb 20129,736.76-1.03%
Mar 20129,273.11-4.76%
Apr 20129,906.056.83%
May 201210,387.224.86%
Jun 201210,084.26-2.92%
Jul 20129,916.86-1.66%
Aug 201210,167.842.53%
Sep 201210,025.66-1.40%
Oct 20129,668.59-3.56%
Nov 201210,027.443.71%
Dec 20129,165.48-8.60%
Jan 20139,086.52-0.86%
Feb 20139,095.030.09%
Mar 20139,205.581.22%
Apr 20139,421.982.35%
May 201310,659.2613.13%
Jun 201310,927.802.52%
Jul 201310,872.69-0.50%
Aug 201310,922.070.45%
Sep 201310,465.99-4.18%
Oct 201310,122.36-3.28%
Nov 201310,502.243.75%
Dec 201311,433.328.87%
Jan 201411,155.90-2.43%
Feb 201411,134.60-0.19%
Mar 201411,482.913.13%
Apr 201410,794.51-5.99%
May 201410,773.02-0.20%
Jun 201410,791.290.17%
Jul 201410,342.19-4.16%
Aug 201410,238.37-1.00%
Sep 201410,548.183.03%
Oct 201410,278.22-2.56%
Nov 201411,064.377.65%
Dec 201411,174.060.99%
Jan 201511,509.903.01%
Feb 201510,972.43-4.67%
Mar 201510,503.28-4.28%
Apr 201510,967.744.42%
May 201511,116.291.35%
Jun 201510,338.74-6.99%
Jul 201510,351.210.12%
Aug 201510,886.985.18%
Sep 201510,942.490.51%
Oct 201510,992.640.46%
Nov 201511,276.642.58%
Dec 201510,629.50-5.74%
Jan 201611,372.066.99%
Feb 201611,656.042.50%
Mar 201611,109.44-4.69%
Apr 201611,331.732.00%
May 201611,774.233.90%
Jun 201611,676.20-0.83%
Jul 201611,253.85-3.62%
Aug 201611,188.59-0.58%
Sep 201611,611.003.78%
Oct 201611,594.85-0.14%
Nov 201611,552.79-0.36%
Dec 201611,578.810.23%
Jan 201711,306.81-2.35%
Feb 201710,940.91-3.24%
Mar 201710,263.79-6.19%
Apr 201710,898.926.19%
May 201710,945.100.42%
Jun 201711,215.902.47%
Jul 201711,095.80-1.07%
Aug 201710,680.96-3.74%
Sep 201710,362.83-2.98%
Oct 201710,811.044.33%
Nov 201711,023.861.97%
Dec 201710,690.20-3.03%
Jan 201810,998.182.88%
Feb 201810,617.46-3.46%
Mar 201810,522.92-0.89%
Apr 201810,371.79-1.44%
May 201811,136.007.37%
Jun 201811,569.133.89%
Jul 201811,754.531.60%
Aug 201811,145.88-5.18%
Sep 201811,164.920.17%
Oct 201811,030.78-1.20%
Nov 201811,228.511.79%
Dec 201812,109.407.85%
Jan 201911,388.78-5.95%
Feb 201910,725.31-5.83%
Mar 201910,976.802.34%
Apr 201910,672.32-2.77%
May 201911,631.828.99%
Jun 201911,009.24-5.35%
Jul 201910,985.10-0.22%
Aug 201911,331.843.16%
Sep 201911,109.71-1.96%
Oct 201910,585.97-4.71%
Nov 201911,038.924.28%
Dec 201910,389.20-5.89%
Jan 202011,125.157.08%
Feb 202010,584.63-4.86%
Mar 202011,623.989.82%
Apr 202011,679.010.47%
May 202011,364.65-2.69%
Jun 202010,921.77-3.90%
Jul 202010,519.70-3.68%
Aug 202010,540.960.20%
Sep 202010,394.04-1.39%
Oct 202010,974.995.59%
Nov 202010,969.53-0.05%
Dec 20209,927.36-9.50%
Jan 202110,620.116.98%
Feb 202110,005.61-5.79%
Mar 202111,308.9613.03%
Apr 202112,408.359.72%
May 202113,189.336.29%
Jun 202113,718.434.01%
Jul 202112,051.66-12.15%
Aug 202110,938.93-9.23%
Sep 20219,763.13-10.75%
Oct 202110,400.656.53%
Nov 202110,243.84-1.51%
Dec 202110,609.673.57%
Jan 202210,884.732.59%
Feb 202211,068.711.69%
Mar 202215,494.2539.98%
Apr 202214,953.93-3.49%
May 202214,853.93-0.67%
Jun 202214,596.60-1.73%
Jul 202214,579.15-0.12%
Aug 202215,434.115.86%
Sep 202215,011.79-2.74%
Oct 202214,722.48-1.93%
Nov 202214,113.11-4.14%
Dec 202212,781.75-9.43%
Jan 202310,220.90-20.04%
Feb 202311,284.2710.40%
Mar 202310,711.59-5.08%
Apr 202310,371.84-3.17%
May 202311,648.5712.31%
Jun 202310,944.16-6.05%
Jul 202311,026.440.75%
Aug 202311,320.012.66%
Sep 202312,035.636.32%
Oct 202311,609.98-3.54%
Nov 202310,788.80-7.07%
Dec 202311,067.292.58%
Jan 202411,777.286.42%
Feb 202411,774.50-0.02%
Mar 202412,287.794.36%
Apr 202411,635.83-5.31%
May 202411,929.302.52%
Jun 202411,285.15-5.40%
Jul 202411,214.66-0.62%
Aug 202410,606.78-5.42%
Sep 202410,998.053.69%
Oct 20249,737.77-11.46%
Nov 202410,611.908.98%
Dec 202412,140.2914.40%
Jan 202510,752.75-11.43%
Feb 202511,423.676.24%
Mar 202511,244.71-1.57%
Apr 202510,758.63-4.32%
May 202510,714.41-0.41%
Jun 202510,983.532.51%
Jul 202510,952.12-0.29%
Aug 202510,215.06-6.73%
Sep 20259,608.15-5.94%
Oct 20259,017.71-6.15%
Nov 20259,398.204.22%
Dec 20259,242.19-1.66%
Jan 20269,523.903.05%
Feb 20269,509.14-0.16%
Mar 20269,818.703.26%

Commodities Market

  • Buyers: Request price quotes
  • Sellers: List your products
Sign up to get an email when we update our commodities data

 


Your email will never be shared, sold, nor rented. We hate SPAM as much you do.
Coming Soon