Soft Logs Monthly Price - Colombian Peso per Cubic meter

Data as of March 2026

Range
May 2016 - Feb 2022: 526,298.600 (98.14%)
Chart

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

Unit: Colombian Peso 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 2016536,254.10-
Jun 2016524,145.30-2.26%
Jul 2016518,883.90-1.00%
Aug 2016520,905.200.39%
Sep 2016549,746.105.54%
Oct 2016547,981.40-0.32%
Nov 2016572,569.204.49%
Dec 2016560,402.60-2.12%
Jan 2017550,609.00-1.75%
Feb 2017495,740.10-9.97%
Mar 2017549,268.7010.80%
Apr 2017531,941.10-3.15%
May 2017556,145.404.55%
Jun 2017561,290.100.93%
Jul 2017547,313.60-2.49%
Aug 2017577,262.705.47%
Sep 2017561,640.40-2.71%
Oct 2017574,318.402.26%
Nov 2017627,347.309.23%
Dec 2017624,035.70-0.53%
Jan 2018643,184.103.07%
Feb 2018688,487.607.04%
Mar 2018653,087.40-5.14%
Apr 2018599,162.30-8.26%
May 2018598,054.30-0.18%
Jun 2018631,462.405.59%
Jul 2018648,120.602.64%
Aug 2018587,030.70-9.43%
Sep 2018587,477.700.08%
Oct 2018632,372.707.64%
Nov 2018577,440.60-8.69%
Dec 2018631,642.809.39%
Jan 2019562,426.30-10.96%
Feb 2019599,213.606.54%
Mar 2019599,189.400.00%
Apr 2019554,362.30-7.48%
May 2019621,523.4012.12%
Jun 2019614,322.70-1.16%
Jul 2019595,642.60-3.04%
Aug 2019661,412.9011.04%
Sep 2019624,052.50-5.65%
Oct 2019608,588.40-2.48%
Nov 2019652,938.307.29%
Dec 2019624,306.80-4.39%
Jan 2020654,550.004.84%
Feb 2020693,352.205.93%
Mar 2020783,134.8012.95%
Apr 2020777,140.20-0.77%
May 2020723,101.80-6.95%
Jun 2020695,820.80-3.77%
Jul 2020704,298.301.22%
Aug 2020731,633.403.88%
Sep 2020763,545.404.36%
Oct 2020774,316.401.41%
Nov 2020873,579.8012.82%
Dec 2020761,325.60-12.85%
Jan 2021786,651.403.33%
Feb 2021774,603.90-1.53%
Mar 2021833,103.407.55%
Apr 2021854,570.102.58%
May 2021882,708.903.29%
Jun 2021867,190.50-1.76%
Jul 2021954,084.2010.02%
Aug 2021906,031.20-5.04%
Sep 2021983,871.908.59%
Oct 2021915,034.20-7.00%
Nov 2021916,803.600.19%
Dec 2021955,446.304.21%
Jan 2022980,728.402.65%
Feb 20221,062,553.008.34%

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