Soft Sawnwood Monthly Price - Mexican Peso per Metric Ton

Data as of March 2026

Range
May 2011 - Mar 2026: 2,067.875 (61.99%)
Chart

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

Unit: Mexican 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
May 20113,335.85-
Jun 20113,452.893.51%
Jul 20113,588.283.92%
Aug 20113,893.598.51%
Sep 20113,991.542.52%
Oct 20114,207.825.42%
Nov 20114,299.532.18%
Dec 20114,080.78-5.09%
Jan 20124,178.702.40%
Feb 20124,052.16-3.03%
Mar 20123,846.51-5.08%
Apr 20124,189.658.92%
May 20124,521.337.92%
Jun 20124,438.11-1.84%
Jul 20124,186.30-5.67%
Aug 20124,263.471.84%
Sep 20124,184.22-1.86%
Oct 20124,052.48-3.15%
Nov 20124,278.655.58%
Dec 20123,849.46-10.03%
Jan 20133,836.80-0.33%
Feb 20133,878.911.10%
Mar 20133,904.930.67%
Apr 20133,955.831.30%
May 20134,403.8411.33%
Jun 20134,590.954.25%
Jul 20134,451.44-3.04%
Aug 20134,456.080.10%
Sep 20134,309.65-3.29%
Oct 20134,214.91-2.20%
Nov 20134,348.053.16%
Dec 20134,601.305.82%
Jan 20144,472.23-2.81%
Feb 20144,529.051.27%
Mar 20144,677.333.27%
Apr 20144,366.72-6.64%
May 20144,281.72-1.95%
Jun 20144,310.420.67%
Jul 20144,188.58-2.83%
Aug 20144,203.170.35%
Sep 20144,334.933.13%
Oct 20144,266.86-1.57%
Nov 20144,587.737.52%
Dec 20144,920.517.25%
Jan 20155,162.224.91%
Feb 20155,027.14-2.62%
Mar 20154,898.98-2.55%
Apr 20155,133.284.78%
May 20155,056.07-1.50%
Jun 20154,742.60-6.20%
Jul 20154,804.891.31%
Aug 20155,082.455.78%
Sep 20155,120.060.74%
Oct 20155,098.50-0.42%
Nov 20155,246.062.89%
Dec 20155,038.07-3.96%
Jan 20165,682.1412.78%
Feb 20166,054.736.56%
Mar 20165,571.23-7.99%
Apr 20165,648.211.38%
May 20166,036.246.87%
Jun 20166,167.012.17%
Jul 20165,972.29-3.16%
Aug 20165,949.88-0.38%
Sep 20166,422.397.94%
Oct 20166,250.45-2.68%
Nov 20166,565.495.04%
Dec 20166,630.921.00%
Jan 20176,833.213.05%
Feb 20176,341.04-7.20%
Mar 20175,673.99-10.52%
Apr 20175,938.034.65%
May 20175,959.170.36%
Jun 20175,982.690.39%
Jul 20175,847.89-2.25%
Aug 20175,717.73-2.23%
Sep 20175,575.09-2.49%
Oct 20176,115.509.69%
Nov 20176,347.993.80%
Dec 20176,278.01-1.10%
Jan 20186,532.964.06%
Feb 20186,286.06-3.78%
Mar 20186,271.90-0.23%
Apr 20186,090.02-2.90%
May 20186,824.7512.06%
Jun 20187,234.036.00%
Jul 20186,707.50-7.28%
Aug 20186,364.41-5.11%
Sep 20186,508.572.27%
Oct 20186,463.51-0.69%
Nov 20186,897.346.71%
Dec 20187,457.178.12%
Jan 20196,859.72-8.01%
Feb 20196,578.20-4.10%
Mar 20196,658.951.23%
Apr 20196,360.05-4.49%
May 20196,995.539.99%
Jun 20196,817.57-2.54%
Jul 20196,795.96-0.32%
Aug 20197,250.006.68%
Sep 20197,108.21-1.96%
Oct 20196,737.60-5.21%
Nov 20197,050.474.64%
Dec 20196,572.94-6.77%
Jan 20206,872.434.56%
Feb 20206,349.70-7.61%
Mar 20208,081.6327.28%
Apr 20208,680.207.41%
May 20208,323.50-4.11%
Jun 20207,811.37-6.15%
Jul 20207,499.48-3.99%
Aug 20207,498.69-0.01%
Sep 20207,189.63-4.12%
Oct 20207,464.273.82%
Nov 20207,345.31-1.59%
Dec 20206,591.48-10.26%
Jan 20217,055.277.04%
Feb 20216,781.96-3.87%
Mar 20217,623.4812.41%
Apr 20217,924.453.95%
May 20218,415.086.19%
Jun 20218,737.623.83%
Jul 20217,373.73-15.61%
Aug 20216,643.21-9.91%
Sep 20215,909.12-11.05%
Oct 20216,343.647.35%
Nov 20216,448.601.65%
Dec 20216,631.462.84%
Jan 20226,713.031.23%
Feb 20226,918.333.06%
Mar 20229,578.5838.45%
Apr 20228,886.43-7.23%
May 20228,649.08-2.67%
Jun 20228,347.07-3.49%
Jul 20228,241.29-1.27%
Aug 20228,655.425.03%
Sep 20228,134.23-6.02%
Oct 20227,762.06-4.58%
Nov 20227,525.38-3.05%
Dec 20227,212.79-4.15%
Jan 20235,835.50-19.10%
Feb 20236,176.585.84%
Mar 20235,706.02-7.62%
Apr 20235,472.59-4.09%
May 20236,039.6510.36%
Jun 20235,408.74-10.45%
Jul 20235,386.66-0.41%
Aug 20235,483.461.80%
Sep 20235,807.845.92%
Oct 20235,748.87-1.02%
Nov 20235,294.31-7.91%
Dec 20235,437.262.70%
Jan 20245,719.925.20%
Feb 20245,611.94-1.89%
Mar 20245,734.922.19%
Apr 20245,316.97-7.29%
May 20245,470.112.88%
Jun 20245,593.612.26%
Jul 20245,601.660.14%
Aug 20245,835.174.17%
Sep 20246,466.7210.82%
Oct 20245,746.92-11.13%
Nov 20246,259.098.91%
Dec 20247,181.2914.73%
Jan 20256,455.10-10.11%
Feb 20256,920.037.20%
Mar 20256,726.34-2.80%
Apr 20256,394.17-4.94%
May 20256,325.04-1.08%
Jun 20256,411.731.37%
Jul 20256,311.52-1.56%
Aug 20255,882.84-6.79%
Sep 20255,553.79-5.59%
Oct 20255,103.52-8.11%
Nov 20255,344.834.73%
Dec 20255,291.49-1.00%
Jan 20265,414.212.32%
Feb 20265,237.26-3.27%
Mar 20265,403.723.18%

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