Soft Sawnwood Monthly Price - Philippine Peso per Metric Ton

Data as of March 2026

Range
Apr 1996 - Mar 2026: 10,049.390 (124.99%)
Chart

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

Unit: Philippine 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 19968,040.47-
Jun 19968,214.492.16%
Jul 19967,985.71-2.79%
Aug 19968,137.851.91%
Sep 19968,806.878.22%
Oct 19968,313.36-5.60%
Nov 19968,826.566.17%
Dec 19968,123.27-7.97%
Jan 19978,150.510.34%
Feb 19978,258.991.33%
Mar 19977,861.59-4.81%
Apr 19977,119.77-9.44%
May 19978,249.9415.87%
Jun 19977,357.45-10.82%
Jul 19978,767.1019.16%
Aug 19978,723.58-0.50%
Sep 199710,182.9416.73%
Oct 19979,718.26-4.56%
Nov 199710,456.347.59%
Jan 199812,238.9817.05%
Feb 199810,996.92-10.15%
Mar 199810,517.91-4.36%
Apr 199811,226.426.74%
May 199811,559.822.97%
Jun 199812,063.634.36%
Jul 199811,243.45-6.80%
Aug 199811,731.454.34%
Sep 199812,128.663.39%
Sep 201014,164.1716.78%
Oct 201013,661.17-3.55%
Nov 201011,949.47-12.53%
Dec 201013,826.1715.71%
Jan 201113,556.99-1.95%
Feb 201112,789.20-5.66%
Mar 201112,351.85-3.42%
Apr 201111,852.80-4.04%
May 201112,343.044.14%
Jun 201112,686.172.78%
Jul 201113,146.563.63%
Aug 201113,518.272.83%
Sep 201113,139.67-2.80%
Oct 201113,588.083.41%
Nov 201113,635.830.35%
Dec 201112,951.97-5.02%
Jan 201213,588.424.91%
Feb 201213,518.98-0.51%
Mar 201212,932.51-4.34%
Apr 201213,683.575.81%
May 201214,199.743.77%
Jun 201213,626.87-4.03%
Jul 201213,125.67-3.68%
Aug 201213,599.523.61%
Sep 201213,500.57-0.73%
Oct 201213,065.24-3.22%
Nov 201213,432.382.81%
Dec 201212,267.57-8.67%
Jan 201312,303.270.29%
Feb 201312,403.790.82%
Mar 201312,696.232.36%
Apr 201313,333.385.02%
May 201314,777.4310.83%
Jun 201315,184.652.76%
Jul 201315,139.55-0.30%
Aug 201315,154.550.10%
Sep 201314,462.43-4.57%
Oct 201314,005.20-3.16%
Nov 201314,478.943.38%
Dec 201315,597.937.73%
Jan 201415,203.91-2.53%
Feb 201415,307.110.68%
Mar 201415,880.763.75%
Apr 201414,909.39-6.12%
May 201414,552.53-2.39%
Jun 201414,540.72-0.08%
Jul 201414,007.40-3.67%
Aug 201413,999.41-0.06%
Sep 201414,445.383.19%
Oct 201414,186.01-1.80%
Nov 201415,168.386.92%
Dec 201415,173.730.04%
Jan 201515,677.113.32%
Feb 201514,897.22-4.97%
Mar 201514,299.97-4.01%
Apr 201514,981.594.77%
May 201514,778.07-1.36%
Jun 201513,787.33-6.70%
Jul 201513,646.57-1.02%
Aug 201514,179.443.90%
Sep 201514,204.390.18%
Oct 201514,270.700.47%
Nov 201514,813.123.80%
Dec 201513,942.39-5.88%
Jan 201614,941.137.16%
Feb 201615,597.324.39%
Mar 201614,740.84-5.49%
Apr 201614,944.811.38%
May 201615,560.434.12%
Jun 201615,355.54-1.32%
Jul 201615,101.52-1.65%
Aug 201615,045.26-0.37%
Sep 201615,850.965.36%
Oct 201615,987.390.86%
Nov 201616,074.370.54%
Dec 201616,105.320.19%
Jan 201715,850.79-1.58%
Feb 201715,601.58-1.57%
Mar 201714,793.30-5.18%
Apr 201715,770.676.61%
May 201715,832.470.39%
Jun 201716,433.863.80%
Jul 201716,657.551.36%
Aug 201716,331.19-1.96%
Sep 201715,943.25-2.38%
Oct 201716,696.874.73%
Nov 201717,091.422.36%
Dec 201716,494.20-3.49%
Jan 201817,398.565.48%
Feb 201817,459.560.35%
Mar 201817,525.690.38%
Apr 201817,255.58-1.54%
May 201818,172.645.31%
Jun 201818,900.874.01%
Jul 201818,873.59-0.14%
Aug 201817,979.81-4.74%
Sep 201818,475.962.76%
Oct 201818,179.43-1.60%
Nov 201818,002.26-0.97%
Dec 201819,537.198.53%
Jan 201918,781.11-3.87%
Feb 201917,871.98-4.84%
Mar 201918,132.951.46%
Apr 201917,456.55-3.73%
May 201919,116.739.51%
Jun 201918,323.22-4.15%
Jul 201918,237.85-0.47%
Aug 201919,171.765.12%
Sep 201918,936.68-1.23%
Oct 201917,956.48-5.18%
Nov 201918,510.163.08%
Dec 201917,443.06-5.76%
Jan 202018,577.876.51%
Feb 202017,138.76-7.75%
Mar 202018,428.627.53%
Apr 202018,162.59-1.44%
May 202017,930.55-1.28%
Jun 202017,561.59-2.06%
Jul 202016,547.39-5.78%
Aug 202016,492.92-0.33%
Sep 202016,076.88-2.52%
Oct 202017,011.295.81%
Nov 202017,363.762.07%
Dec 202015,855.95-8.68%
Jan 202117,013.617.30%
Feb 202116,084.29-5.46%
Mar 202117,841.3410.92%
Apr 202119,186.667.54%
May 202120,202.135.29%
Jun 202120,999.713.95%
Jul 202118,460.63-12.09%
Aug 202116,599.10-10.08%
Sep 202114,785.42-10.93%
Oct 202115,768.796.65%
Nov 202115,594.27-1.11%
Dec 202115,851.261.65%
Jan 202216,779.705.86%
Feb 202217,356.033.43%
Mar 202224,264.9039.81%
Apr 202222,981.19-5.29%
May 202222,587.23-1.71%
Jun 202222,379.81-0.92%
Jul 202222,420.100.18%
Aug 202223,982.026.97%
Sep 202223,302.40-2.83%
Oct 202222,833.66-2.01%
Nov 202222,321.33-2.24%
Dec 202220,432.66-8.46%
Jan 202316,913.99-17.22%
Feb 202318,173.857.45%
Mar 202317,007.14-6.42%
Apr 202316,734.04-1.61%
May 202318,964.7213.33%
Jun 202317,520.63-7.61%
Jul 202317,502.42-0.10%
Aug 202318,139.633.64%
Sep 202319,049.255.01%
Oct 202318,070.11-5.14%
Nov 202316,977.63-6.05%
Dec 202317,513.683.16%
Jan 202418,726.466.92%
Feb 202418,410.30-1.69%
Mar 202419,087.043.68%
Apr 202418,020.89-5.59%
May 202418,800.614.33%
Jun 202418,049.25-4.00%
Jul 202418,080.130.17%
Aug 202417,464.71-3.40%
Sep 202418,476.045.79%
Oct 202416,703.47-9.59%
Nov 202418,056.888.10%
Dec 202420,756.0514.95%
Jan 202518,336.37-11.66%
Feb 202519,652.097.18%
Mar 202519,091.95-2.85%
Apr 202518,125.27-5.06%
May 202518,085.12-0.22%
Jun 202518,972.644.91%
Jul 202519,168.571.03%
Aug 202518,008.93-6.05%
Sep 202517,182.48-4.59%
Oct 202516,150.78-6.00%
Nov 202517,078.445.74%
Dec 202517,225.260.86%
Jan 202617,996.894.48%
Feb 202617,733.49-1.46%
Mar 202618,089.862.01%

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