Soft Logs Monthly Price - Algerian Dinar per Cubic meter

Data as of March 2026

Range
May 2010 - Mar 2026: 11,198.260 (93.43%)
Chart

Description: Soft Logs, Average Export price from the U.S. for Douglas Fir, Algerian Dinar per Cubic meter

Unit: Algerian Dinar per Cubic meter



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 logs are roundwood harvested from coniferous tree species such as pine, spruce, fir, and similar softwood species used in industrial processing. In commodity markets, they are typically priced by volume, commonly in US dollars per cubic meter, with benchmark series often based on average export prices from the United States. Soft logs are an upstream forestry input rather than a finished material, and their value reflects species, log dimensions, quality, moisture content, and suitability for sawmilling, veneer, pulp, or engineered wood production. They are distinct from lumber because they are sold in log form before primary processing.

The main end uses are sawn timber, plywood, veneer, pulp, paper, and panel products. Soft logs also feed biomass and energy applications in some regions, although industrial wood processing remains the core demand channel. Because logs are bulky and expensive to transport relative to value, trade is shaped by proximity to mills, ports, and inland transport networks. Pricing therefore reflects both forest biology and industrial geography, making soft logs a classic example of a commodity whose market structure is determined by long-lived regional supply chains.

Supply Drivers

Soft log supply is governed by forest biology, land ownership, harvest rotation, and transport access. Major producing regions include North America, northern and central Europe, Russia, and parts of the Southern Hemisphere where plantation forestry is established. Softwood species grow best in temperate and boreal climates, where long rotations and large land bases support commercial forestry. In plantation systems, supply is more regular because trees are planted, thinned, and harvested on managed cycles; in natural forests, supply depends more on allowable cuts, regeneration, and ecological constraints.

Weather and climate affect supply through drought, frost, windthrow, wildfire, and insect outbreaks. These factors can alter harvest timing, damage standing timber, and change log quality. Forest pests and disease can also shift the species mix available to mills. Harvesting is capital intensive and depends on roads, logging equipment, and seasonal ground conditions, especially where frozen soils or dry periods are needed for access. Because trees require many years to mature, supply responds slowly to price signals. Milling capacity, export terminals, and inland freight corridors also matter: logs are heavy and low value per unit weight, so transport costs can determine whether a stand is economically harvestable.

Demand Drivers

Demand for soft logs is driven by construction, packaging, furniture, paper, and industrial wood processing. Sawmills convert logs into lumber for framing, flooring, and general building materials, while veneer and plywood mills require logs with specific diameter and straightness characteristics. Pulp mills use lower-grade logs and residual fiber for paper, tissue, and panel products. This creates a quality ladder in which higher-grade logs command premiums and lower-grade material competes with pulpwood and biomass uses.

Housing activity is a major structural demand driver because softwood lumber is widely used in residential construction and renovation. Demand also rises with broader industrial output, freight packaging needs, and consumer spending on wood-based goods. Substitution occurs across wood products: engineered wood can replace some solid lumber applications, while steel, concrete, plastics, and composites can substitute in certain building or packaging uses. Seasonal patterns matter because construction and harvesting are often constrained by weather. Demand is also influenced by long-run shifts in paper consumption, recycling rates, and the adoption of engineered wood products, all of which change the mix of log grades required by mills.

Macro and Financial Drivers

Soft log prices are sensitive to exchange rates because international trade is commonly denominated in US dollars while production costs are incurred in local currencies. A stronger dollar can make exports less competitive for foreign buyers, while a weaker dollar can support trade flows. Interest rates matter indirectly through housing, construction finance, and inventory holding costs at mills and exporters. Because logs are bulky and costly to store, market structure often reflects local supply-demand balances rather than deep financial warehousing dynamics.

Inflation affects harvesting, labor, fuel, equipment, and freight costs, which feed into delivered log prices. Soft logs do not function as a classic financial hedge, but they can correlate with broader industrial activity and housing cycles. Where storage is limited, nearby supply and mill demand can create short-term price pressure, while transport bottlenecks can widen regional price differences. The market is therefore shaped more by physical logistics and processing capacity than by speculative storage economics.

MonthPriceChange
May 201011,986.36-
Jun 201012,307.112.68%
Jul 201011,707.27-4.87%
Aug 201010,720.76-8.43%
Sep 201011,313.815.53%
Oct 201011,675.423.20%
Nov 201012,006.062.83%
Dec 201011,959.53-0.39%
Jan 201113,404.0812.08%
Feb 201112,131.65-9.49%
Mar 201111,985.38-1.21%
Apr 201113,047.528.86%
May 201113,515.353.59%
Jun 201113,310.76-1.51%
Jul 201112,071.90-9.31%
Aug 201112,007.39-0.53%
Sep 201111,830.72-1.47%
Oct 201111,366.41-3.92%
Nov 201112,286.718.10%
Dec 201112,431.031.17%
Jan 201212,530.160.80%
Feb 201211,600.04-7.42%
Mar 201211,953.553.05%
Apr 201211,281.64-5.62%
May 201211,848.585.03%
Jun 201212,378.004.47%
Jul 201213,593.709.82%
Aug 201212,628.22-7.10%
Sep 201212,940.832.48%
Oct 201212,910.20-0.24%
Nov 201213,660.085.81%
Dec 201212,789.82-6.37%
Jan 201313,184.403.09%
Feb 201312,810.17-2.84%
Mar 201313,899.698.51%
Apr 201314,510.034.39%
May 201314,524.340.10%
Jun 201314,678.921.06%
Jul 201312,341.31-15.92%
Aug 201313,751.3911.43%
Sep 201313,752.790.01%
Oct 201314,323.154.15%
Nov 201315,261.456.55%
Dec 201314,106.77-7.57%
Jan 201414,039.33-0.48%
Feb 201415,101.297.56%
Mar 201414,542.56-3.70%
Apr 201414,358.34-1.27%
May 201413,799.72-3.89%
Jun 201414,755.846.93%
Jul 201414,028.82-4.93%
Aug 201414,174.521.04%
Sep 201414,916.595.24%
Oct 201415,348.862.90%
Nov 201416,201.195.55%
Dec 201416,856.054.04%
Jan 201516,856.520.00%
Feb 201517,861.035.96%
Mar 201518,215.371.98%
Apr 201518,431.121.18%
May 201517,572.51-4.66%
Jun 201516,778.33-4.52%
Jul 201517,850.376.39%
Aug 201518,516.983.73%
Sep 201519,432.964.95%
Oct 201518,849.56-3.00%
Nov 201518,276.34-3.04%
Dec 201519,342.735.83%
Jan 201620,299.704.95%
Feb 201619,228.86-5.28%
Mar 201620,979.559.10%
Apr 201619,774.91-5.74%
May 201619,704.59-0.36%
Jun 201619,261.29-2.25%
Jul 201619,378.520.61%
Aug 201619,226.29-0.79%
Sep 201620,561.716.95%
Oct 201620,607.370.22%
Nov 201620,457.47-0.73%
Dec 201620,644.580.91%
Jan 201720,588.98-0.27%
Feb 201718,919.41-8.11%
Mar 201720,478.068.24%
Apr 201720,358.77-0.58%
May 201720,713.261.74%
Jun 201720,606.51-0.52%
Jul 201719,588.25-4.94%
Aug 201721,277.128.62%
Sep 201721,518.951.14%
Oct 201722,208.963.21%
Nov 201723,938.077.79%
Dec 201724,040.110.43%
Jan 201825,606.496.52%
Feb 201827,429.857.12%
Mar 201826,118.84-4.78%
Apr 201824,751.32-5.24%
May 201824,289.15-1.87%
Jun 201825,545.165.17%
Jul 201826,451.993.55%
Aug 201823,486.12-11.21%
Sep 201822,808.03-2.89%
Oct 201824,342.706.73%
Nov 201821,398.10-12.10%
Dec 201823,336.549.06%
Jan 201921,022.48-9.92%
Feb 201922,825.438.58%
Mar 201922,809.86-0.07%
Apr 201920,958.33-8.12%
May 201922,474.677.24%
Jun 201922,442.07-0.15%
Jul 201922,196.67-1.09%
Aug 201923,178.204.42%
Sep 201922,058.87-4.83%
Oct 201921,222.46-3.79%
Nov 201923,053.248.63%
Dec 201922,020.88-4.48%
Jan 202023,615.137.24%
Feb 202024,505.193.77%
Mar 202024,514.580.04%
Apr 202024,861.591.42%
May 202024,089.98-3.10%
Jun 202024,222.980.55%
Jul 202024,696.201.95%
Aug 202024,784.600.36%
Sep 202026,180.485.63%
Oct 202026,040.10-0.54%
Nov 202030,451.0916.94%
Dec 202028,841.74-5.29%
Jan 202129,846.473.48%
Feb 202128,966.19-2.95%
Mar 202130,804.716.35%
Apr 202131,106.090.98%
May 202131,484.771.22%
Jun 202131,439.31-0.14%
Jul 202133,589.416.84%
Aug 202131,508.02-6.20%
Sep 202135,100.0411.40%
Oct 202133,266.91-5.22%
Nov 202132,544.63-2.17%
Dec 202133,580.393.18%
Jan 202234,193.501.83%
Feb 202237,917.8110.89%
Mar 202242,029.9310.84%
Apr 202238,247.96-9.00%
May 202243,167.4412.86%
Jun 202241,828.73-3.10%
Jul 202240,707.83-2.68%
Aug 202239,494.45-2.98%
Sep 202236,626.33-7.26%
Oct 202236,252.42-1.02%
Nov 202237,479.433.38%
Dec 202234,062.84-9.12%
Jan 202332,027.83-5.97%
Feb 202330,290.03-5.43%
Mar 202329,910.15-1.25%
Apr 202328,585.41-4.43%
May 202329,666.093.78%
Jun 202328,788.73-2.96%
Jul 202329,952.314.04%
Aug 202328,295.81-5.53%
Sep 202329,441.004.05%
Oct 202329,911.551.60%
Nov 202327,573.28-7.82%
Dec 202327,056.24-1.88%
Jan 202429,454.248.86%
Feb 202427,554.51-6.45%
Mar 202426,538.99-3.69%
Apr 202427,236.132.63%
May 202426,013.88-4.49%
Jun 202426,576.252.16%
Jul 202425,288.64-4.84%
Aug 202424,034.28-4.96%
Sep 202425,751.757.15%
Oct 202426,215.591.80%
Nov 202424,939.22-4.87%
Dec 202423,928.27-4.05%
Jan 202528,518.4419.18%
Feb 202526,094.57-8.50%
Mar 202525,880.06-0.82%
Apr 202528,709.7210.93%
May 202529,486.132.70%
Jun 202527,627.26-6.30%
Jul 202527,306.75-1.16%
Aug 202528,628.554.84%
Sep 202525,162.12-12.11%
Oct 202525,329.250.66%
Nov 202526,211.323.48%
Dec 202524,858.29-5.16%
Jan 202622,830.89-8.16%
Feb 202622,801.87-0.13%
Mar 202623,184.611.68%

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