Soft Sawnwood Monthly Price - Indian Rupee per Metric Ton

Data as of March 2026

Range
Feb 1997 - Mar 2026: 16,899.060 (149.95%)
Chart

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

Unit: Indian Rupee 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
Feb 199711,270.07-
Mar 199710,694.84-5.10%
Apr 19979,678.31-9.50%
May 199711,215.7515.89%
Jun 19979,999.00-10.85%
Jul 199710,840.908.42%
Aug 199710,412.07-3.96%
Sep 199710,874.324.44%
Oct 199710,088.48-7.23%
Nov 199711,115.3210.18%
Dec 199710,811.78-2.73%
Jan 199811,307.414.58%
Feb 199810,806.14-4.43%
Mar 199811,006.631.86%
Apr 199811,115.490.99%
May 199812,012.668.07%
Jun 199812,280.992.23%
Jul 199811,407.25-7.11%
Aug 199811,499.920.81%
Sep 199811,774.462.39%
Oct 199811,250.64-4.45%
Nov 199811,943.576.16%
Dec 199812,074.721.10%
Jan 199912,369.402.44%
Feb 199912,161.01-1.68%
Mar 199912,757.314.90%
Apr 199912,179.08-4.53%
May 199912,992.106.68%
Jun 199912,537.42-3.50%
Jul 199912,594.170.45%
Aug 199912,872.692.21%
Sep 199913,708.876.50%
Oct 199914,045.702.46%
Nov 199913,439.03-4.32%
Dec 199913,664.661.68%
Jan 200012,860.01-5.89%
Feb 200013,642.106.08%
Mar 200013,979.292.47%
Apr 200013,040.64-6.71%
May 200013,670.854.83%
Jun 200013,560.13-0.81%
Jul 200012,996.39-4.16%
Aug 200010,907.55-16.07%
Sep 200012,631.8715.81%
Oct 200012,519.70-0.89%
Nov 200013,549.088.22%
Dec 20009,901.30-26.92%
Jan 200112,826.4229.54%
Feb 200113,482.105.11%
Mar 200112,284.04-8.89%
Apr 200113,534.2210.18%
May 200112,929.93-4.46%
Jun 200114,347.8910.97%
Jul 200113,643.79-4.91%
Aug 200113,770.310.93%
Sep 200113,480.01-2.11%
Oct 200113,172.50-2.28%
Nov 200113,876.045.34%
Dec 200112,792.42-7.81%
Jan 200212,224.10-4.44%
Feb 200213,219.258.14%
Mar 200211,769.11-10.97%
Apr 200212,141.333.16%
May 200212,450.902.55%
Jun 200212,727.442.22%
Jul 200214,011.3310.09%
Aug 200213,646.16-2.61%
Sep 200214,977.999.76%
Oct 200214,463.92-3.43%
Nov 200213,703.53-5.26%
Dec 200213,986.352.06%
Jan 200314,138.871.09%
Feb 200313,245.73-6.32%
Mar 200312,261.38-7.43%
Apr 200314,066.3814.72%
May 200312,952.11-7.92%
Jun 200313,563.114.72%
Jul 200313,732.121.25%
Aug 200313,368.15-2.65%
Sep 200313,422.270.40%
Oct 200312,973.95-3.34%
Nov 200312,894.91-0.61%
Dec 200312,292.69-4.67%
Jan 200412,518.471.84%
Feb 200413,736.339.73%
Mar 200413,836.640.73%
Apr 200413,144.41-5.00%
May 200415,566.9018.43%
Jun 200415,614.690.31%
Jul 200415,990.962.41%
Aug 200416,464.062.96%
Sep 200415,798.74-4.04%
Oct 200416,001.401.28%
Nov 200414,795.91-7.53%
Dec 200412,858.56-13.09%
Jan 200514,395.5611.95%
Feb 200513,817.22-4.02%
Mar 200515,707.4313.68%
Apr 200514,251.75-9.27%
May 200514,548.752.08%
Jun 200514,266.54-1.94%
Jul 200512,978.49-9.03%
Aug 200514,581.5212.35%
Sep 200514,539.88-0.29%
Oct 200514,864.932.24%
Nov 200515,231.372.47%
Dec 200514,581.37-4.27%
Jan 200613,708.04-5.99%
Feb 200614,386.764.95%
Mar 200614,133.42-1.76%
Apr 200613,895.21-1.69%
May 200614,878.297.07%
Jun 200616,112.508.30%
Jul 200616,628.533.20%
Aug 200617,165.013.23%
Sep 200616,383.55-4.55%
Oct 200616,941.533.41%
Nov 200615,698.60-7.34%
Dec 200616,382.204.35%
Jan 200715,743.62-3.90%
Feb 200716,325.063.69%
Mar 200715,125.84-7.35%
Apr 200714,910.09-1.43%
May 200714,776.90-0.89%
Jun 200713,841.14-6.33%
Jul 200712,489.87-9.76%
Aug 200710,157.87-18.67%
Sep 200712,763.9825.66%
Oct 200711,665.48-8.61%
Nov 200712,093.493.67%
Dec 200712,263.471.41%
Jan 200812,711.883.66%
Feb 200812,393.23-2.51%
Mar 200812,036.78-2.88%
Apr 200811,672.91-3.02%
May 200812,875.6610.30%
Jun 200812,589.51-2.22%
Jul 200814,233.2913.06%
Aug 200813,528.34-4.95%
Sep 200814,241.485.27%
Oct 200815,795.1010.91%
Nov 200816,327.423.37%
Dec 200815,339.22-6.05%
Jan 200917,003.1610.85%
Feb 200915,664.97-7.87%
Mar 200915,795.260.83%
Apr 200915,755.90-0.25%
May 200916,026.901.72%
Jun 200915,557.48-2.93%
Jul 200915,265.87-1.87%
Aug 200915,155.72-0.72%
Sep 200914,132.06-6.75%
Oct 200913,466.88-4.71%
Nov 200914,428.477.14%
Dec 200915,008.804.02%
Jan 201014,449.04-3.73%
Feb 201014,188.20-1.81%
Mar 201014,354.621.17%
Apr 201013,510.77-5.88%
May 201014,050.644.00%
Jun 201014,302.301.79%
Jul 201014,704.252.81%
Aug 201014,910.131.40%
Sep 201014,811.89-0.66%
Oct 201013,960.86-5.75%
Nov 201012,425.11-11.00%
Dec 201014,236.3514.58%
Jan 201113,929.32-2.16%
Feb 201113,295.59-4.55%
Mar 201112,770.28-3.95%
Apr 201112,169.68-4.70%
May 201112,849.405.59%
Jun 201113,122.752.13%
Jul 201113,653.264.04%
Aug 201114,428.905.68%
Sep 201114,550.330.84%
Oct 201115,396.865.82%
Nov 201115,977.663.77%
Dec 201115,616.87-2.26%
Jan 201215,968.082.25%
Feb 201215,578.99-2.44%
Mar 201215,186.47-2.52%
Apr 201216,600.909.31%
May 201218,029.568.61%
Jun 201217,848.92-1.00%
Jul 201217,389.79-2.57%
Aug 201217,970.733.34%
Sep 201217,652.41-1.77%
Oct 201216,682.95-5.49%
Nov 201217,867.697.10%
Dec 201216,339.00-8.56%
Jan 201316,403.670.40%
Feb 201316,390.12-0.08%
Mar 201316,960.853.48%
Apr 201317,622.083.90%
May 201319,699.7411.79%
Jun 201320,668.734.92%
Jul 201320,877.371.01%
Aug 201321,838.024.60%
Sep 201321,020.61-3.74%
Oct 201319,986.98-4.92%
Nov 201320,849.354.31%
Dec 201321,906.685.07%
Jan 201421,035.86-3.98%
Feb 201421,226.530.91%
Mar 201421,614.621.83%
Apr 201420,157.90-6.74%
May 201419,654.33-2.50%
Jun 201419,813.820.81%
Jul 201419,359.75-2.29%
Aug 201419,477.930.61%
Sep 201419,944.852.40%
Oct 201419,425.85-2.60%
Nov 201420,810.537.13%
Dec 201421,293.492.32%
Jan 201521,838.712.56%
Feb 201520,896.59-4.31%
Mar 201520,092.61-3.85%
Apr 201521,166.645.35%
May 201521,135.85-0.15%
Jun 201519,573.32-7.39%
Jul 201519,186.04-1.98%
Aug 201519,996.734.23%
Sep 201520,122.070.63%
Oct 201520,022.42-0.50%
Nov 201520,813.813.95%
Dec 201519,659.00-5.55%
Jan 201621,167.137.67%
Feb 201622,342.785.55%
Mar 201621,142.08-5.37%
Apr 201621,462.351.51%
May 201622,225.593.56%
Jun 201622,248.690.10%
Jul 201621,568.52-3.06%
Aug 201621,569.290.00%
Sep 201622,306.463.42%
Oct 201622,074.61-1.04%
Nov 201622,105.090.14%
Dec 201621,953.08-0.69%
Jan 201721,714.06-1.09%
Feb 201720,961.55-3.47%
Mar 201719,394.27-7.48%
Apr 201720,408.305.23%
May 201720,454.730.23%
Jun 201721,256.163.92%
Jul 201721,189.29-0.31%
Aug 201720,539.45-3.07%
Sep 201720,151.04-1.89%
Oct 201721,164.025.03%
Nov 201721,704.392.55%
Dec 201721,026.51-3.12%
Jan 201821,939.464.34%
Feb 201821,708.79-1.05%
Mar 201821,883.190.80%
Apr 201821,748.11-0.62%
May 201823,525.568.17%
Jun 201824,154.672.67%
Jul 201824,266.600.46%
Aug 201823,467.98-3.29%
Sep 201824,752.745.47%
Oct 201824,785.620.13%
Nov 201824,461.90-1.31%
Dec 201826,217.597.18%
Jan 201925,325.21-3.40%
Feb 201924,394.42-3.68%
Mar 201924,036.83-1.47%
Apr 201923,256.79-3.25%
May 201925,530.339.78%
Jun 201924,561.22-3.80%
Jul 201924,533.64-0.11%
Aug 201926,202.966.80%
Sep 201925,925.51-1.06%
Oct 201924,761.58-4.49%
Nov 201926,070.195.28%
Dec 201924,461.67-6.17%
Jan 202026,066.606.56%
Feb 202024,124.63-7.45%
Mar 202026,904.6911.52%
Apr 202027,274.981.38%
May 202026,834.29-1.62%
Jun 202026,539.68-1.10%
Jul 202025,106.33-5.40%
Aug 202025,214.470.43%
Sep 202024,363.40-3.38%
Oct 202025,780.955.82%
Nov 202026,715.593.63%
Dec 202024,298.25-9.05%
Jan 202125,880.066.51%
Feb 202124,274.63-6.20%
Mar 202126,736.7910.14%
Apr 202129,463.7610.20%
May 202130,909.474.91%
Jun 202132,097.883.84%
Jul 202127,498.99-14.33%
Aug 202124,523.67-10.82%
Sep 202121,680.36-11.59%
Oct 202123,268.017.32%
Nov 202123,077.83-0.82%
Dec 202123,844.733.32%
Jan 202224,378.112.24%
Feb 202225,394.654.17%
Mar 202235,527.6439.90%
Apr 202233,683.76-5.19%
May 202233,348.08-1.00%
Jun 202232,602.38-2.24%
Jul 202231,919.37-2.09%
Aug 202234,222.207.21%
Sep 202232,507.52-5.01%
Oct 202231,964.09-1.67%
Nov 202231,651.78-0.98%
Dec 202230,212.61-4.55%
Jan 202325,176.77-16.67%
Feb 202327,416.358.90%
Mar 202325,533.67-6.87%
Apr 202324,812.93-2.82%
May 202328,021.2112.93%
Jun 202325,786.26-7.98%
Jul 202326,207.001.63%
Aug 202326,739.682.03%
Sep 202327,859.494.19%
Oct 202326,481.01-4.95%
Nov 202325,319.59-4.39%
Dec 202326,248.463.67%
Jan 202427,813.165.96%
Feb 202427,240.28-2.06%
Mar 202428,365.274.13%
Apr 202426,379.95-7.00%
May 202427,158.042.95%
Jun 202425,664.75-5.50%
Jul 202425,857.790.75%
Aug 202425,604.31-0.98%
Sep 202427,618.087.86%
Oct 202424,531.77-11.17%
Nov 202425,952.225.79%
Dec 202430,123.5016.07%
Jan 202527,103.84-10.02%
Feb 202529,443.198.63%
Mar 202528,804.42-2.17%
Apr 202527,257.97-5.37%
May 202527,699.261.62%
Jun 202528,918.874.40%
Jul 202529,083.440.57%
Aug 202527,547.29-5.28%
Sep 202526,527.81-3.70%
Oct 202524,483.67-7.71%
Nov 202525,730.925.09%
Dec 202526,376.022.51%
Jan 202627,476.304.17%
Feb 202627,586.120.40%
Mar 202628,169.132.11%

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