Soft Sawnwood Monthly Price - Rupiah per Metric Ton

Data as of March 2026

Range
Apr 2006 - Jan 2019: 2,313,163.000 (83.73%)
Chart

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

Unit: Rupiah 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 20062,762,678.00-
May 20062,931,503.006.11%
Jun 20063,277,595.0011.81%
Jul 20063,266,373.00-0.34%
Aug 20063,354,232.002.69%
Sep 20063,248,672.00-3.15%
Oct 20063,423,142.005.37%
Nov 20063,196,994.00-6.61%
Dec 20063,335,743.004.34%
Jan 20073,220,538.00-3.45%
Feb 20073,352,349.004.09%
Mar 20073,148,459.00-6.08%
Apr 20073,218,076.002.21%
May 20073,206,384.00-0.36%
Jun 20073,050,488.00-4.86%
Jul 20072,802,017.00-8.15%
Aug 20072,330,993.00-16.81%
Sep 20072,945,746.0026.37%
Oct 20072,688,677.00-8.73%
Nov 20072,840,704.005.65%
Dec 20072,902,190.002.16%
Jan 20083,036,934.004.64%
Feb 20082,863,968.00-5.70%
Mar 20082,739,502.00-4.35%
Apr 20082,685,238.00-1.98%
May 20082,839,733.005.75%
Jun 20082,734,249.00-3.71%
Jul 20083,044,741.0011.36%
Aug 20082,864,022.00-5.94%
Sep 20082,919,514.001.94%
Oct 20083,262,900.0011.76%
Nov 20083,902,038.0019.59%
Dec 20083,571,289.00-8.48%
Jan 20093,887,753.008.86%
Feb 20093,772,138.00-2.97%
Mar 20093,650,609.00-3.22%
Apr 20093,469,268.00-4.97%
May 20093,431,861.00-1.08%
Jun 20093,325,367.00-3.10%
Jul 20093,183,978.00-4.25%
Aug 20093,129,574.00-1.71%
Sep 20092,888,536.00-7.70%
Oct 20092,733,301.00-5.37%
Nov 20092,934,075.007.35%
Dec 20093,044,166.003.75%
Jan 20102,918,149.00-4.14%
Feb 20102,862,874.00-1.89%
Mar 20102,895,043.001.12%
Apr 20102,740,879.00-5.33%
May 20102,819,117.002.85%
Jun 20102,809,920.00-0.33%
Jul 20102,840,268.001.08%
Aug 20102,872,669.001.14%
Sep 20102,887,652.000.52%
Oct 20102,806,176.00-2.82%
Nov 20102,472,895.00-11.88%
Dec 20102,844,247.0015.02%
Jan 20112,773,329.00-2.49%
Feb 20112,608,085.00-5.96%
Mar 20112,486,661.00-4.66%
Apr 20112,372,014.00-4.61%
May 20112,448,856.003.24%
Jun 20112,506,477.002.35%
Jul 20112,623,290.004.66%
Aug 20112,718,893.003.64%
Sep 20112,675,885.00-1.58%
Oct 20112,780,518.003.91%
Nov 20112,840,441.002.16%
Dec 20112,696,278.00-5.08%
Jan 20122,838,070.005.26%
Feb 20122,859,937.000.77%
Mar 20122,765,914.00-3.29%
Apr 20122,940,381.006.31%
May 20123,075,442.004.59%
Jun 20123,010,756.00-2.10%
Jul 20122,962,981.00-1.59%
Aug 20123,072,662.003.70%
Sep 20123,094,875.000.72%
Oct 20123,023,148.00-2.32%
Nov 20123,144,234.004.01%
Dec 20122,885,664.00-8.22%
Jan 20132,925,305.001.37%
Feb 20132,954,583.001.00%
Mar 20133,028,289.002.49%
Apr 20133,151,369.004.06%
May 20133,493,485.0010.86%
Jun 20133,501,519.000.23%
Jul 20133,522,302.000.59%
Aug 20133,658,475.003.87%
Sep 20133,747,562.002.44%
Oct 20133,686,287.00-1.64%
Nov 20133,848,548.004.40%
Dec 20134,274,365.0011.06%
Jan 20144,125,815.00-3.48%
Feb 20144,077,331.00-1.18%
Mar 20144,050,958.00-0.65%
Apr 20143,819,312.00-5.72%
May 20143,815,307.00-0.10%
Jun 20143,944,942.003.40%
Jul 20143,763,863.00-4.59%
Aug 20143,746,344.00-0.47%
Sep 20143,898,118.004.05%
Oct 20143,844,851.00-1.37%
Nov 20144,101,237.006.67%
Dec 20144,223,420.002.98%
Jan 20154,422,510.004.71%
Feb 20154,295,308.00-2.88%
Mar 20154,204,118.00-2.12%
Apr 20154,367,574.003.89%
May 20154,351,700.00-0.36%
Jun 20154,080,508.00-6.23%
Jul 20154,030,990.00-1.21%
Aug 20154,235,132.005.06%
Sep 20154,373,249.003.26%
Oct 20154,249,784.00-2.82%
Nov 20154,306,264.001.33%
Dec 20154,089,878.00-5.02%
Jan 20164,368,106.006.80%
Feb 20164,425,725.001.32%
Mar 20164,158,228.00-6.04%
Apr 20164,255,644.002.34%
May 20164,455,345.004.69%
Jun 20164,419,003.00-0.82%
Jul 20164,208,502.00-4.76%
Aug 20164,240,087.000.75%
Sep 20164,385,107.003.42%
Oct 20164,304,662.00-1.83%
Nov 20164,349,189.001.03%
Dec 20164,337,904.00-0.26%
Jan 20174,259,417.00-1.81%
Feb 20174,167,094.00-2.17%
Mar 20173,926,794.00-5.77%
Apr 20174,209,343.007.20%
May 20174,230,753.000.51%
Jun 20174,386,371.003.68%
Jul 20174,387,007.000.01%
Aug 20174,283,918.00-2.35%
Sep 20174,158,078.00-2.94%
Oct 20174,397,859.005.77%
Nov 20174,526,615.002.93%
Dec 20174,437,097.00-1.98%
Jan 20184,612,785.003.96%
Feb 20184,583,893.00-0.63%
Mar 20184,631,165.001.03%
Apr 20184,571,676.00-1.28%
May 20184,896,897.007.11%
Jun 20184,994,435.001.99%
Jul 20185,092,693.001.97%
Aug 20184,913,952.00-3.51%
Sep 20185,092,396.003.63%
Oct 20185,110,206.000.35%
Nov 20185,009,932.00-1.96%
Dec 20185,368,729.007.16%
Jan 20195,075,841.00-5.46%

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