Soft Logs Monthly Price - Mauritius Rupee per Cubic meter

Data as of March 2026

Range
Jun 2002 - Mar 2026: 4,109.044 (99.33%)
Chart

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

Unit: Mauritius Rupee 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
Jun 20024,136.81-
Jul 20024,403.266.44%
Aug 20024,432.490.66%
Sep 20024,397.90-0.78%
Oct 20024,588.744.34%
Mar 20034,224.02-7.95%
Apr 20034,136.29-2.08%
May 20034,109.67-0.64%
Jun 20034,273.884.00%
Jul 20034,212.81-1.43%
Aug 20034,466.686.03%
Sep 20034,232.50-5.24%
Oct 20034,378.813.46%
Nov 20034,187.25-4.37%
Dec 20034,027.42-3.82%
Jan 20044,424.099.85%
Feb 20044,496.061.63%
Mar 20044,364.55-2.93%
Apr 20045,079.4216.38%
May 20045,125.870.91%
Jun 20045,136.020.20%
Jul 20045,271.972.65%
Aug 20045,416.162.74%
Sep 20045,327.50-1.64%
Oct 20045,061.80-4.99%
Nov 20045,016.34-0.90%
Dec 20045,274.975.16%
Jan 20055,357.691.57%
Feb 20055,293.68-1.19%
Mar 20055,221.14-1.37%
Apr 20055,526.175.84%
May 20055,182.20-6.22%
Jun 20055,292.362.13%
Jul 20055,567.775.20%
Aug 20055,703.882.44%
Sep 20055,673.49-0.53%
Oct 20055,770.361.71%
Nov 20055,773.400.05%
Dec 20055,888.011.99%
Jan 20066,209.935.47%
Feb 20065,930.79-4.50%
Mar 20066,170.944.05%
Apr 20066,515.875.59%
May 20066,063.20-6.95%
Jun 20065,834.24-3.78%
Jul 20066,223.796.68%
Aug 20065,978.29-3.94%
Sep 20066,920.4015.76%
Oct 20066,518.73-5.80%
Nov 20066,351.18-2.57%
Dec 20066,584.663.68%
Jan 20076,482.28-1.55%
Feb 20076,047.30-6.71%
Mar 20075,404.04-10.64%
Apr 20075,657.944.70%
May 20075,930.174.81%
Jun 20075,049.06-14.86%
Jul 20075,228.983.56%
Aug 20074,966.40-5.02%
Sep 20075,470.0910.14%
Oct 20074,869.88-10.97%
Nov 20075,112.374.98%
Dec 20074,503.55-11.91%
Jan 20084,483.48-0.45%
Feb 20084,803.447.14%
Mar 20084,215.68-12.24%
Apr 20084,250.020.81%
May 20084,492.775.71%
Jun 20084,723.135.13%
Jul 20084,334.63-8.23%
Aug 20084,632.946.88%
Sep 20085,171.1511.62%
Oct 20085,753.6111.26%
Nov 20086,341.6810.22%
Dec 20085,933.56-6.44%
Jan 20095,538.77-6.65%
Feb 20095,781.294.38%
Mar 20095,515.31-4.60%
Apr 20095,053.89-8.37%
May 20094,650.43-7.98%
Jun 20094,588.06-1.34%
Jul 20094,665.611.69%
Aug 20094,416.36-5.34%
Sep 20094,309.60-2.42%
Oct 20094,515.994.79%
Nov 20093,781.77-16.26%
Dec 20094,187.0710.72%
Jan 20104,221.840.83%
Feb 20104,579.708.48%
Mar 20104,756.503.86%
Apr 20104,979.854.70%
May 20105,170.763.83%
Jun 20105,325.462.99%
Jul 20104,856.15-8.81%
Aug 20104,335.21-10.73%
Sep 20104,621.186.60%
Oct 20104,678.891.25%
Nov 20104,821.733.05%
Dec 20104,911.511.86%
Jan 20115,573.6713.48%
Feb 20114,915.56-11.81%
Mar 20114,753.47-3.30%
Apr 20115,078.306.83%
May 20115,206.992.53%
Jun 20115,204.69-0.04%
Jul 20114,720.65-9.30%
Aug 20114,658.81-1.31%
Sep 20114,611.83-1.01%
Oct 20114,487.81-2.69%
Nov 20114,838.987.82%
Dec 20114,863.220.50%
Jan 20124,831.58-0.65%
Feb 20124,495.55-6.95%
Mar 20124,657.333.60%
Apr 20124,425.62-4.98%
May 20124,638.294.81%
Jun 20124,840.424.36%
Jul 20125,213.267.70%
Aug 20124,766.02-8.58%
Sep 20124,925.983.36%
Oct 20125,023.951.99%
Nov 20125,309.885.69%
Dec 20125,014.47-5.56%
Jan 20135,163.992.98%
Feb 20135,017.43-2.84%
Mar 20135,465.278.93%
Apr 20135,724.064.74%
May 20135,719.79-0.07%
Jun 20135,747.830.49%
Jul 20134,824.85-16.06%
Aug 20135,268.119.19%
Sep 20135,185.76-1.56%
Oct 20135,333.092.84%
Nov 20135,783.278.44%
Dec 20135,411.23-6.43%
Jan 20145,432.320.39%
Feb 20145,858.807.85%
Mar 20145,625.30-3.99%
Apr 20145,487.36-2.45%
May 20145,268.04-4.00%
Jun 20145,640.917.08%
Jul 20145,349.69-5.16%
Aug 20145,426.791.44%
Sep 20145,720.765.42%
Oct 20145,765.980.79%
Nov 20146,020.834.42%
Dec 20146,120.701.66%
Jan 20156,088.02-0.53%
Feb 20156,265.212.91%
Mar 20156,669.196.45%
Apr 20156,792.761.85%
May 20156,246.20-8.05%
Jun 20155,974.61-4.35%
Jul 20156,350.996.30%
Aug 20156,315.84-0.55%
Sep 20156,475.782.53%
Oct 20156,314.34-2.49%
Nov 20156,114.42-3.17%
Dec 20156,509.586.46%
Jan 20166,815.254.70%
Feb 20166,440.88-5.49%
Mar 20166,815.165.81%
Apr 20166,382.27-6.35%
May 20166,307.87-1.17%
Jun 20166,195.95-1.77%
Jul 20166,217.400.35%
Aug 20166,189.47-0.45%
Sep 20166,648.527.42%
Oct 20166,655.770.11%
Nov 20166,614.54-0.62%
Dec 20166,693.411.19%
Jan 20176,708.440.22%
Feb 20176,118.52-8.79%
Mar 20176,605.357.96%
Apr 20176,529.86-1.14%
May 20176,617.581.34%
Jun 20176,594.85-0.34%
Jul 20176,141.20-6.88%
Aug 20176,427.174.66%
Sep 20176,401.64-0.40%
Oct 20176,609.503.25%
Nov 20177,088.557.25%
Dec 20177,033.58-0.78%
Jan 20187,394.765.14%
Feb 20187,843.596.07%
Mar 20187,569.11-3.50%
Apr 20187,306.56-3.47%
May 20187,218.64-1.20%
Jun 20187,518.954.16%
Jul 20187,695.252.34%
Aug 20186,805.53-11.56%
Sep 20186,624.92-2.65%
Oct 20187,057.456.53%
Nov 20186,214.91-11.94%
Dec 20186,745.188.53%
Jan 20196,065.52-10.08%
Feb 20196,570.858.33%
Mar 20196,618.420.72%
Apr 20196,107.67-7.72%
May 20196,598.178.03%
Jun 20196,693.611.45%
Jul 20196,652.24-0.62%
Aug 20196,960.694.64%
Sep 20196,657.96-4.35%
Oct 20196,443.68-3.22%
Nov 20197,022.468.98%
Dec 20196,738.48-4.04%
Jan 20207,227.467.26%
Feb 20207,575.444.81%
Mar 20207,770.612.58%
Apr 20207,765.52-0.07%
May 20207,519.38-3.17%
Jun 20207,546.030.35%
Jul 20207,726.992.40%
Aug 20207,700.83-0.34%
Sep 20208,103.725.23%
Oct 20208,086.93-0.21%
Nov 20209,489.7317.35%
Dec 20208,736.29-7.94%
Jan 20218,910.902.00%
Feb 20218,708.34-2.27%
Mar 20219,296.046.75%
Apr 20219,506.192.26%
May 20219,587.900.86%
Jun 20219,666.820.82%
Jul 202110,672.9810.41%
Aug 20219,967.70-6.61%
Sep 202110,987.1510.23%
Oct 202110,406.70-5.28%
Nov 202110,171.30-2.26%
Dec 202110,499.793.23%
Jan 202210,690.161.81%
Feb 202211,808.4610.46%
Mar 202213,014.8710.22%
Apr 202211,633.40-10.61%
May 202212,837.8110.35%
Jun 202212,693.84-1.12%
Jul 202212,587.60-0.84%
Aug 202212,504.18-0.66%
Sep 202211,629.63-6.99%
Oct 202211,532.20-0.84%
Nov 202211,858.102.83%
Dec 202210,856.92-8.44%
Jan 202310,403.95-4.17%
Feb 202310,155.37-2.39%
Mar 202310,275.721.19%
Apr 20239,565.97-6.91%
May 20239,937.143.88%
Jun 20239,695.88-2.43%
Jul 202310,153.414.72%
Aug 20239,486.17-6.57%
Sep 20239,697.972.23%
Oct 20239,723.890.27%
Nov 20239,105.70-6.36%
Dec 20238,932.05-1.91%
Jan 20249,815.169.89%
Feb 20249,385.30-4.38%
Mar 20249,136.33-2.65%
Apr 20249,449.843.43%
May 20248,987.70-4.89%
Jun 20249,268.603.13%
Jul 20248,840.45-4.62%
Aug 20248,337.55-5.69%
Sep 20248,990.087.83%
Oct 20249,140.171.67%
Nov 20248,755.17-4.21%
Dec 20248,406.97-3.98%
Jan 20259,888.0417.62%
Feb 20259,059.49-8.38%
Mar 20258,846.32-2.35%
Apr 20259,791.2410.68%
May 202510,222.884.41%
Jun 20259,675.71-5.35%
Jul 20259,608.89-0.69%
Aug 202510,117.785.30%
Sep 20258,901.01-12.03%
Oct 20258,894.98-0.07%
Nov 20259,285.274.39%
Dec 20258,866.85-4.51%
Jan 20268,193.29-7.60%
Feb 20268,134.91-0.71%
Mar 20268,245.851.36%

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