Soft Sawnwood Monthly Price - Rial Omani per Metric Ton

Data as of March 2026

Range
Apr 2006 - Mar 2026: -1.957 (-1.65%)
Chart

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

Unit: Rial Omani 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 2006118.86-
May 2006125.985.99%
Jun 2006134.526.78%
Jul 2006137.632.31%
Aug 2006141.823.04%
Sep 2006136.59-3.69%
Oct 2006143.264.89%
Nov 2006134.56-6.07%
Dec 2006141.124.87%
Jan 2007136.52-3.26%
Feb 2007142.134.11%
Mar 2007132.10-7.06%
Apr 2007136.012.96%
May 2007139.292.41%
Jun 2007130.56-6.26%
Jul 2007118.82-8.99%
Aug 200795.69-19.47%
Sep 2007121.6627.14%
Oct 2007113.52-6.69%
Nov 2007117.903.86%
Dec 2007119.561.41%
Jan 2008124.143.83%
Feb 2008119.94-3.38%
Mar 2008114.68-4.39%
Apr 2008112.12-2.23%
May 2008117.524.82%
Jun 2008113.05-3.81%
Jul 2008127.7613.01%
Aug 2008121.14-5.18%
Sep 2008120.18-0.79%
Oct 2008124.853.89%
Nov 2008128.112.61%
Dec 2008121.25-5.35%
Jan 2009133.8610.40%
Feb 2009122.37-8.59%
Mar 2009118.46-3.20%
Apr 2009120.992.14%
May 2009126.974.94%
Jun 2009125.21-1.38%
Jul 2009121.01-3.36%
Aug 2009120.60-0.33%
Sep 2009112.18-6.99%
Oct 2009110.83-1.20%
Nov 2009119.137.49%
Dec 2009123.763.89%
Jan 2010120.97-2.26%
Feb 2010117.76-2.65%
Mar 2010121.313.01%
Apr 2010116.74-3.77%
May 2010118.031.11%
Jun 2010118.100.06%
Jul 2010120.622.14%
Aug 2010123.112.07%
Sep 2010123.710.48%
Oct 2010120.85-2.31%
Nov 2010106.46-11.91%
Dec 2010121.1913.84%
Jan 2011118.01-2.62%
Feb 2011112.47-4.70%
Mar 2011109.14-2.96%
Apr 2011105.42-3.41%
May 2011110.054.39%
Jun 2011112.502.23%
Jul 2011118.205.07%
Aug 2011122.533.67%
Sep 2011117.22-4.33%
Oct 2011120.232.57%
Nov 2011121.190.80%
Dec 2011114.07-5.88%
Jan 2012119.855.07%
Feb 2012121.841.66%
Mar 2012116.03-4.77%
Apr 2012123.226.19%
May 2012127.583.54%
Jun 2012122.49-3.99%
Jul 2012120.42-1.69%
Aug 2012124.373.28%
Sep 2012124.410.03%
Oct 2012121.13-2.64%
Nov 2012125.553.65%
Dec 2012115.03-8.38%
Jan 2013116.130.96%
Feb 2013117.260.98%
Mar 2013119.912.26%
Apr 2013124.613.92%
May 2013137.6410.45%
Jun 2013136.25-1.01%
Jul 2013134.28-1.44%
Aug 2013132.84-1.07%
Sep 2013126.90-4.47%
Oct 2013124.69-1.74%
Nov 2013127.842.52%
Dec 2013135.976.36%
Jan 2014130.17-4.26%
Feb 2014131.040.66%
Mar 2014136.324.03%
Apr 2014128.42-5.80%
May 2014127.35-0.83%
Jun 2014127.580.19%
Jul 2014123.93-2.86%
Aug 2014122.99-0.76%
Sep 2014125.962.42%
Oct 2014121.75-3.34%
Nov 2014129.736.56%
Dec 2014130.560.63%
Jan 2015135.143.51%
Feb 2015129.53-4.15%
Mar 2015123.71-4.50%
Apr 2015129.694.84%
May 2015127.36-1.80%
Jun 2015117.85-7.47%
Jul 2015115.91-1.65%
Aug 2015118.161.94%
Sep 2015116.85-1.11%
Oct 2015118.301.25%
Nov 2015121.162.42%
Dec 2015113.50-6.32%
Jan 2016120.946.55%
Feb 2016125.894.09%
Mar 2016121.23-3.70%
Apr 2016124.152.41%
May 2016127.772.91%
Jun 2016127.15-0.48%
Jul 2016123.38-2.96%
Aug 2016123.900.42%
Sep 2016128.513.72%
Oct 2016127.14-1.06%
Nov 2016125.87-1.00%
Dec 2016124.32-1.23%
Jan 2017122.59-1.39%
Feb 2017120.11-2.02%
Mar 2017113.13-5.81%
Apr 2017121.637.51%
May 2017122.090.38%
Jun 2017126.843.89%
Jul 2017126.43-0.32%
Aug 2017123.46-2.35%
Sep 2017120.20-2.64%
Oct 2017125.034.02%
Nov 2017128.642.89%
Dec 2017125.85-2.17%
Jan 2018132.545.32%
Feb 2018129.66-2.17%
Mar 2018129.43-0.18%
Apr 2018127.35-1.60%
May 2018133.925.16%
Jun 2018137.002.30%
Jul 2018135.81-0.86%
Aug 2018129.77-4.45%
Sep 2018131.641.44%
Oct 2018129.45-1.66%
Nov 2018130.951.16%
Dec 2018142.328.68%
Jan 2019137.63-3.29%
Feb 2019131.72-4.29%
Mar 2019133.020.99%
Apr 2019128.80-3.17%
May 2019140.669.21%
Jun 2019136.00-3.31%
Jul 2019137.100.81%
Aug 2019141.613.29%
Sep 2019139.74-1.32%
Oct 2019134.00-4.11%
Nov 2019140.334.73%
Dec 2019132.12-5.85%
Jan 2020140.526.35%
Feb 2020129.83-7.61%
Mar 2020139.207.22%
Apr 2020137.65-1.12%
May 2020136.37-0.93%
Jun 2020134.79-1.16%
Jul 2020128.68-4.53%
Aug 2020129.830.90%
Sep 2020127.45-1.83%
Oct 2020134.915.85%
Nov 2020138.312.52%
Dec 2020126.84-8.30%
Jan 2021136.117.31%
Feb 2021128.27-5.76%
Mar 2021141.2310.10%
Apr 2021152.237.79%
May 2021162.016.42%
Jun 2021167.783.56%
Jul 2021141.88-15.43%
Aug 2021127.12-10.41%
Sep 2021113.24-10.92%
Oct 2021119.445.48%
Nov 2021119.13-0.26%
Dec 2021121.371.88%
Jan 2022125.903.74%
Feb 2022130.133.36%
Mar 2022179.1737.68%
Apr 2022170.01-5.11%
May 2022165.86-2.44%
Jun 2022160.55-3.20%
Jul 2022154.15-3.99%
Aug 2022165.407.30%
Sep 2022155.76-5.83%
Oct 2022149.27-4.16%
Nov 2022148.73-0.37%
Dec 2022141.05-5.17%
Jan 2023118.21-16.19%
Feb 2023127.627.95%
Mar 2023119.30-6.51%
Apr 2023116.32-2.50%
May 2023130.8612.50%
Jun 2023120.54-7.88%
Jul 2023122.621.72%
Aug 2023124.191.28%
Sep 2023128.973.85%
Oct 2023122.33-5.15%
Nov 2023116.88-4.45%
Dec 2023121.163.66%
Jan 2024128.646.18%
Feb 2024126.25-1.86%
Mar 2024131.414.09%
Apr 2024121.61-7.45%
May 2024125.192.94%
Jun 2024118.22-5.57%
Jul 2024118.910.59%
Aug 2024117.35-1.32%
Sep 2024126.727.99%
Oct 2024112.26-11.41%
Nov 2024118.305.38%
Dec 2024136.5015.38%
Jan 2025120.76-11.53%
Feb 2025130.027.67%
Mar 2025127.83-1.68%
Apr 2025122.58-4.11%
May 2025125.001.97%
Jun 2025129.503.60%
Jul 2025129.810.24%
Aug 2025121.03-6.77%
Sep 2025115.48-4.58%
Oct 2025106.52-7.76%
Nov 2025111.464.64%
Dec 2025112.570.99%
Jan 2026116.903.85%
Feb 2026116.900.00%
Mar 2026116.900.00%

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