Soft Sawnwood Monthly Price - Chilean Peso per Metric Ton

Data as of March 2026

Range
Apr 2011 - Mar 2026: 147,417.400 (114.08%)
Chart

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

Unit: Chilean Peso 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 2011129,226.50-
May 2011133,874.303.60%
Jun 2011137,340.502.59%
Jul 2011142,351.803.65%
Aug 2011148,752.104.50%
Sep 2011147,733.80-0.68%
Oct 2011160,010.308.31%
Nov 2011160,133.800.08%
Dec 2011153,381.70-4.22%
Jan 2012155,984.001.70%
Feb 2012152,535.30-2.21%
Mar 2012146,482.60-3.97%
Apr 2012155,759.906.33%
May 2012164,339.905.51%
Jun 2012161,072.90-1.99%
Jul 2012153,970.90-4.41%
Aug 2012155,577.501.04%
Sep 2012153,576.40-1.29%
Oct 2012149,606.80-2.58%
Nov 2012157,063.704.98%
Dec 2012142,765.30-9.10%
Jan 2013142,772.700.01%
Feb 2013144,059.700.90%
Mar 2013147,335.502.27%
Apr 2013153,010.303.85%
May 2013171,505.4012.09%
Jun 2013178,197.703.90%
Jul 2013176,384.70-1.02%
Aug 2013177,094.200.40%
Sep 2013166,469.20-6.00%
Oct 2013162,544.90-2.36%
Nov 2013172,195.805.94%
Dec 2013187,293.108.77%
Jan 2014181,734.70-2.97%
Feb 2014188,862.903.92%
Mar 2014199,829.905.81%
Apr 2014185,140.10-7.35%
May 2014184,054.60-0.59%
Jun 2014183,517.50-0.29%
Jul 2014180,034.80-1.90%
Aug 2014185,215.602.88%
Sep 2014194,458.304.99%
Oct 2014186,563.10-4.06%
Nov 2014199,634.307.01%
Dec 2014208,086.304.23%
Jan 2015218,380.204.95%
Feb 2015210,227.80-3.73%
Mar 2015202,197.70-3.82%
Apr 2015207,374.002.56%
May 2015201,286.80-2.94%
Jun 2015193,093.40-4.07%
Jul 2015196,172.901.59%
Aug 2015211,458.007.79%
Sep 2015210,000.00-0.69%
Oct 2015210,857.500.41%
Nov 2015221,661.205.12%
Dec 2015207,984.00-6.17%
Jan 2016227,049.409.17%
Feb 2016230,557.801.55%
Mar 2016215,042.30-6.73%
Apr 2016216,306.500.59%
May 2016226,718.604.81%
Jun 2016225,540.60-0.52%
Jul 2016210,966.90-6.46%
Aug 2016212,282.800.62%
Sep 2016223,356.705.22%
Oct 2016219,539.10-1.71%
Nov 2016217,630.40-0.87%
Dec 2016215,519.20-0.97%
Jan 2017210,732.60-2.22%
Feb 2017200,878.50-4.68%
Mar 2017194,738.20-3.06%
Apr 2017207,410.106.51%
May 2017213,186.302.78%
Jun 2017219,420.802.92%
Jul 2017216,248.60-1.45%
Aug 2017206,866.00-4.34%
Sep 2017195,573.90-5.46%
Oct 2017204,590.804.61%
Nov 2017212,013.003.63%
Dec 2017208,419.00-1.70%
Jan 2018208,761.500.16%
Feb 2018201,337.50-3.56%
Mar 2018203,022.500.84%
Apr 2018198,909.80-2.03%
May 2018217,839.909.52%
Jun 2018226,658.904.05%
Jul 2018230,449.801.67%
Aug 2018221,484.70-3.89%
Sep 2018233,127.305.26%
Oct 2018227,964.70-2.21%
Nov 2018231,094.301.37%
Dec 2018252,497.809.26%
Jan 2019242,472.90-3.97%
Feb 2019224,698.40-7.33%
Mar 2019231,181.202.89%
Apr 2019223,460.00-3.34%
May 2019253,179.7013.30%
Jun 2019244,912.00-3.27%
Jul 2019244,774.40-0.06%
Aug 2019262,856.907.39%
Sep 2019260,895.80-0.75%
Oct 2019251,508.20-3.60%
Nov 2019281,282.3011.84%
Dec 2019265,013.10-5.78%
Jan 2020283,263.506.89%
Feb 2020268,962.40-5.05%
Mar 2020303,879.1012.98%
Apr 2020305,501.200.53%
May 2020291,786.00-4.49%
Jun 2020278,237.90-4.64%
Jul 2020262,023.20-5.83%
Aug 2020264,956.801.12%
Sep 2020256,355.80-3.25%
Oct 2020276,587.207.89%
Nov 2020274,199.40-0.86%
Dec 2020244,240.50-10.93%
Jan 2021255,924.504.78%
Feb 2021241,037.20-5.82%
Mar 2021266,794.3010.69%
Apr 2021280,250.105.04%
May 2021299,388.806.83%
Jun 2021317,035.005.89%
Jul 2021277,464.40-12.48%
Aug 2021257,831.50-7.08%
Sep 2021231,523.80-10.20%
Oct 2021252,845.609.21%
Nov 2021251,685.20-0.46%
Dec 2021267,200.806.16%
Jan 2022269,289.300.78%
Feb 2022273,459.501.55%
Mar 2022372,397.3036.18%
Apr 2022360,406.60-3.22%
May 2022366,950.301.82%
Jun 2022357,777.30-2.50%
Jul 2022380,861.806.45%
Aug 2022389,025.202.14%
Sep 2022373,847.50-3.90%
Oct 2022371,107.00-0.73%
Nov 2022354,674.60-4.43%
Dec 2022321,903.90-9.24%
Jan 2023254,087.80-21.07%
Feb 2023265,134.804.35%
Mar 2023251,172.90-5.27%
Apr 2023243,176.70-3.18%
May 2023271,718.9011.74%
Jun 2023251,040.50-7.61%
Jul 2023259,834.303.50%
Aug 2023276,378.006.37%
Sep 2023297,277.207.56%
Oct 2023294,717.30-0.86%
Nov 2023270,192.70-8.32%
Dec 2023274,523.001.60%
Jan 2024303,774.3010.66%
Feb 2024316,244.804.11%
Mar 2024330,800.604.60%
Apr 2024303,682.10-8.20%
May 2024299,042.20-1.53%
Jun 2024284,582.10-4.84%
Jul 2024289,934.701.88%
Aug 2024283,794.70-2.12%
Sep 2024305,489.507.64%
Oct 2024272,743.50-10.72%
Nov 2024298,779.009.55%
Dec 2024347,922.2016.45%
Jan 2025314,021.80-9.74%
Feb 2025323,785.003.11%
Mar 2025310,045.50-4.24%
Apr 2025306,681.60-1.08%
May 2025305,917.20-0.25%
Jun 2025315,836.503.24%
Jul 2025321,624.001.83%
Aug 2025304,153.70-5.43%
Sep 2025288,359.10-5.19%
Oct 2025264,274.00-8.35%
Nov 2025271,432.402.71%
Dec 2025268,155.60-1.21%
Jan 2026271,614.801.29%
Feb 2026262,064.90-3.52%
Mar 2026276,643.905.56%

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