Soft Sawnwood Monthly Price - Iranian Rial per Metric Ton

Data as of March 2026

Range
Apr 2006 - Jan 2019: 12,206,370.000 (431.70%)
Chart

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

Unit: Iranian Rial 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 20062,827,535.00-
May 20062,999,472.006.08%
Jun 20063,208,649.006.97%
Jul 20063,287,120.002.45%
Aug 20063,387,728.003.06%
Sep 20063,267,279.00-3.56%
Oct 20063,433,775.005.10%
Nov 20063,226,155.00-6.05%
Dec 20063,383,527.004.88%
Jan 20073,275,952.00-3.18%
Feb 20073,413,361.004.19%
Mar 20073,175,243.00-6.98%
Apr 20073,270,487.003.00%
May 20073,353,167.002.53%
Jun 20073,148,400.00-6.11%
Jul 20072,869,471.00-8.86%
Aug 20072,314,813.00-19.33%
Sep 20072,948,376.0027.37%
Oct 20072,752,987.00-6.63%
Nov 20072,851,455.003.58%
Dec 20072,912,925.002.16%
Jan 20082,996,392.002.87%
Feb 20082,908,175.00-2.94%
Mar 20082,698,912.00-7.20%
Apr 20082,633,105.00-2.44%
May 20082,812,668.006.82%
Jun 20082,720,455.00-3.28%
Jul 20083,054,454.0012.28%
Aug 20082,990,707.00-2.09%
Sep 20083,025,494.001.16%
Oct 20083,210,507.006.12%
Nov 20083,283,450.002.27%
Dec 20083,120,822.00-4.95%
Jan 20093,437,999.0010.16%
Feb 20093,038,064.00-11.63%
Mar 20093,010,188.00-0.92%
Apr 20093,137,840.004.24%
May 20093,226,932.002.84%
Jun 20093,185,651.00-1.28%
Jul 20093,126,683.00-1.85%
Aug 20093,117,559.00-0.29%
Sep 20092,883,884.00-7.50%
Oct 20092,853,576.00-1.05%
Nov 20093,070,853.007.61%
Dec 20093,209,027.004.50%
Jan 20103,145,156.00-1.99%
Feb 20103,051,180.00-2.99%
Mar 20103,141,854.002.97%
Apr 20103,051,950.00-2.86%
May 20103,157,719.003.47%
Jun 20103,204,616.001.49%
Jul 20103,261,225.001.77%
Aug 20103,338,835.002.38%
Sep 20103,334,051.00-0.14%
Oct 20103,282,460.00-1.55%
Nov 20102,869,665.00-12.58%
Dec 20103,266,728.0013.84%
Jan 20113,173,226.00-2.86%
Feb 20113,020,188.00-4.82%
Mar 20112,934,441.00-2.84%
Apr 20112,857,230.00-2.63%
May 20113,016,886.005.59%
Jun 20113,239,973.007.39%
Jul 20113,243,070.000.10%
Aug 20113,368,773.003.88%
Sep 20113,263,892.00-3.11%
Oct 20113,334,234.002.16%
Nov 20113,423,009.002.66%
Dec 20113,265,532.00-4.60%
Jan 20123,506,821.007.39%
Feb 20123,884,949.0010.78%
Mar 20123,699,823.00-4.77%
Apr 20123,928,840.006.19%
May 20124,067,991.003.54%
Jun 20123,905,546.00-3.99%
Jul 20123,839,587.00-1.69%
Aug 20123,965,497.003.28%
Sep 20123,966,723.000.03%
Oct 20123,862,145.00-2.64%
Nov 20124,003,258.003.65%
Dec 20123,667,702.00-8.38%
Jan 20133,702,765.000.96%
Feb 20133,738,932.000.98%
Mar 20133,823,281.002.26%
Apr 20133,971,722.003.88%
May 20134,388,590.0010.50%
Jun 20134,344,331.00-1.01%
Jul 20138,195,450.0088.65%
Aug 20138,565,998.004.52%
Sep 20138,177,891.00-4.53%
Oct 20138,067,328.00-1.35%
Nov 20138,267,780.002.48%
Dec 20138,766,816.006.04%
Jan 20148,403,104.00-4.15%
Feb 20148,479,956.000.91%
Mar 20148,884,370.004.77%
Apr 20148,515,978.00-4.15%
May 20148,456,719.00-0.70%
Jun 20148,497,294.000.48%
Jul 20148,370,859.00-1.49%
Aug 20148,477,809.001.28%
Sep 20148,726,227.002.93%
Oct 20148,450,699.00-3.16%
Nov 20149,034,797.006.91%
Dec 20149,153,669.001.32%
Jan 20159,620,320.005.10%
Feb 20159,298,138.00-3.35%
Mar 20158,989,165.00-3.32%
Apr 20159,531,065.006.03%
May 20159,460,446.00-0.74%
Jun 20158,921,046.00-5.70%
Jul 20158,895,382.00-0.29%
Aug 20159,157,021.002.94%
Sep 20159,103,207.00-0.59%
Oct 20159,216,247.001.24%
Nov 20159,445,466.002.49%
Dec 20158,889,228.00-5.89%
Jan 20169,490,833.006.77%
Feb 20169,882,918.004.13%
Mar 20169,529,401.00-3.58%
Apr 20169,780,419.002.63%
May 201610,093,290.003.20%
Jun 201610,098,100.000.05%
Jul 20169,913,193.00-1.83%
Aug 201610,011,330.000.99%
Sep 201610,482,950.004.71%
Oct 201610,462,400.00-0.20%
Nov 201610,459,310.00-0.03%
Dec 201610,424,810.00-0.33%
Jan 201710,319,330.00-1.01%
Feb 201710,115,920.00-1.97%
Mar 20179,537,986.00-5.71%
Apr 201710,257,510.007.54%
May 201710,302,190.000.44%
Jun 201710,710,750.003.97%
Jul 201710,729,700.000.18%
Aug 201710,575,830.00-1.43%
Sep 201710,472,850.00-0.97%
Oct 201711,128,270.006.26%
Nov 201711,770,320.005.77%
Dec 201711,674,650.00-0.81%
Jan 201812,573,600.007.70%
Feb 201812,504,710.00-0.55%
Mar 201812,649,600.001.16%
Apr 201813,560,070.007.20%
May 201814,643,210.007.99%
Jun 201815,109,180.003.18%
Jul 201815,338,690.001.52%
Aug 201814,308,310.00-6.72%
Sep 201814,379,120.000.49%
Oct 201814,140,560.00-1.66%
Nov 201814,304,360.001.16%
Dec 201815,545,880.008.68%
Jan 201915,033,900.00-3.29%

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