Soft Logs Monthly Price - Pakistan Rupee per Cubic meter

Data as of March 2026

Range
Apr 2006 - Jan 2019: 11,983.810 (94.56%)
Chart

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

Unit: Pakistan 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
Apr 200612,673.59-
May 200611,819.97-6.74%
Jun 200611,385.89-3.67%
Jul 200612,066.155.97%
Aug 200611,328.80-6.11%
Sep 200612,862.8113.54%
Oct 200612,053.04-6.30%
Nov 200611,526.36-4.37%
Dec 200611,752.631.96%
Jan 200711,748.77-0.03%
Feb 200711,062.35-5.84%
Mar 200710,080.86-8.87%
Apr 200710,720.026.34%
May 200711,557.577.81%
Jun 20079,709.87-15.99%
Jul 200710,136.244.39%
Aug 20079,777.48-3.54%
Sep 200710,784.7010.30%
Oct 20079,790.37-9.22%
Nov 200710,401.256.24%
Dec 20079,490.43-8.76%
Jan 20089,634.301.52%
Feb 200810,498.138.97%
Mar 20089,735.83-7.26%
Apr 200810,492.347.77%
May 200811,193.196.68%
Jun 200811,641.554.01%
Jul 200811,494.73-1.26%
Aug 200812,453.838.34%
Sep 200813,787.1910.71%
Oct 200815,217.0110.37%
Nov 200815,746.083.48%
Dec 200814,629.56-7.09%
Jan 200913,536.57-7.47%
Feb 200913,739.871.50%
Mar 200913,053.91-4.99%
Apr 200912,067.15-7.56%
May 200911,335.58-6.06%
Jun 200911,507.691.52%
Jul 200911,993.184.22%
Aug 200911,537.50-3.80%
Sep 200911,536.18-0.01%
Oct 200912,379.927.31%
Nov 200910,567.08-14.64%
Dec 200911,985.2213.42%
Jan 201011,936.30-0.41%
Feb 201012,780.907.08%
Mar 201013,125.792.70%
Apr 201013,633.193.87%
May 201013,420.61-1.56%
Jun 201013,889.233.49%
Jul 201013,410.43-3.45%
Aug 201012,187.59-9.12%
Sep 201012,932.276.11%
Oct 201013,532.224.64%
Nov 201013,835.842.24%
Dec 201013,790.37-0.33%
Jan 201115,668.6113.62%
Feb 201114,215.71-9.27%
Mar 201114,159.40-0.40%
Apr 201115,406.588.81%
May 201115,959.663.59%
Jun 201115,887.90-0.45%
Jul 201114,406.15-9.33%
Aug 201114,432.980.19%
Sep 201114,067.19-2.53%
Oct 201113,430.87-4.52%
Nov 201114,466.497.71%
Dec 201114,857.452.70%
Jan 201214,841.03-0.11%
Feb 201214,077.94-5.14%
Mar 201214,580.223.57%
Apr 201213,802.50-5.33%
May 201214,418.884.47%
Jun 201215,002.994.05%
Jul 201215,877.535.83%
Aug 201214,717.40-7.31%
Sep 201215,394.344.60%
Oct 201215,546.720.99%
Nov 201216,516.106.24%
Dec 201215,908.85-3.68%
Jan 201316,506.303.76%
Feb 201316,127.50-2.29%
Mar 201317,328.887.45%
Apr 201318,152.214.75%
May 201318,131.42-0.11%
Jun 201318,380.901.38%
Jul 201315,676.49-14.71%
Aug 201317,649.1912.58%
Sep 201317,762.280.64%
Oct 201318,726.655.43%
Nov 201320,421.839.05%
Dec 201319,204.45-5.96%
Jan 201418,960.97-1.27%
Feb 201420,380.127.48%
Mar 201418,707.49-8.21%
Apr 201417,839.57-4.64%
May 201417,284.50-3.11%
Jun 201418,343.116.12%
Jul 201417,434.60-4.95%
Aug 201417,779.101.98%
Sep 201418,817.285.84%
Oct 201418,924.260.57%
Nov 201419,485.122.96%
Dec 201419,578.040.48%
Jan 201519,012.87-2.89%
Feb 201519,300.591.51%
Mar 201519,209.89-0.47%
Apr 201519,150.22-0.31%
May 201518,193.19-5.00%
Jun 201517,337.60-4.70%
Jul 201518,244.875.23%
Aug 201518,303.340.32%
Sep 201519,127.854.50%
Oct 201518,600.90-2.75%
Nov 201517,887.04-3.84%
Dec 201518,898.075.65%
Jan 201619,818.044.87%
Feb 201618,881.23-4.73%
Mar 201620,044.126.16%
Apr 201619,044.39-4.99%
May 201618,805.89-1.25%
Jun 201618,317.22-2.60%
Jul 201618,366.110.27%
Aug 201618,399.240.18%
Sep 201619,694.717.04%
Oct 201619,581.56-0.57%
Nov 201619,374.17-1.06%
Dec 201619,521.950.76%
Jan 201719,613.790.47%
Feb 201718,047.23-7.99%
Mar 201719,544.968.30%
Apr 201719,410.75-0.69%
May 201719,935.412.70%
Jun 201719,927.18-0.04%
Jul 201719,011.47-4.60%
Aug 201720,444.827.54%
Sep 201720,291.80-0.75%
Oct 201720,513.041.09%
Nov 201721,934.146.93%
Dec 201722,748.023.71%
Jan 201824,773.278.90%
Feb 201826,611.867.42%
Mar 201825,682.44-3.49%
Apr 201825,042.13-2.49%
May 201824,195.90-3.38%
Jun 201826,075.477.77%
Jul 201828,097.857.76%
Aug 201824,611.13-12.41%
Sep 201824,018.49-2.41%
Oct 201826,907.6112.03%
Nov 201824,180.02-10.14%
Dec 201827,308.8912.94%
Jan 201924,657.40-9.71%

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