Iron Ore Monthly Price - Singapore Dollar per Dry Metric Ton

Data as of March 2026

Range
Mar 2006 - Mar 2026: 0.255 (23.53%)
Chart

Description: Iron ore (any origin) fines, spot price, c.f.r. China, 62% Fe beginning December 2008; previously 63.5%

Unit: Singapore Dollar per Dry Metric Ton



Source: Thomson Reuters Datastream, World Bank.

See also: Mineral production statistics

See also: Top commodity suppliers

See also: Commodities glossary - Definitions of terms used in commodity trading

Overview

Iron ore is the principal raw material used to make steel, and its market price is commonly quoted for a standardized grade rather than for every physical variety. The most widely tracked benchmark is iron ore with 62% iron content, delivered cost and freight to Tianjin, quoted in US dollars per dry metric ton. This benchmark reflects the quality adjustments that matter in steelmaking, since higher-grade ore generally requires less processing and can improve furnace efficiency. Iron ore is traded in several physical forms, including fines, lumps, pellets, and concentrates, each with different handling and metallurgical characteristics.

The commodity is central to construction, infrastructure, machinery, transport equipment, and manufactured goods because steel is the dominant end use. Demand is therefore tied to industrial activity and the replacement of aging capital stock. Iron ore also has a strong link to the economics of blast furnace steelmaking, where ore quality, impurity content, and sintering behavior affect operating costs. Because it is a bulk commodity with significant transport costs, location and logistics are important parts of pricing.

Supply Drivers

Iron ore supply is shaped by geology, mine development cycles, beneficiation requirements, and transport infrastructure. Major producing regions include Australia, Brazil, China, India, and parts of Africa and North America, with large-scale output concentrated where high-tonnage deposits can be mined efficiently and moved by rail or port. The most competitive supply often comes from long-life open-pit operations with favorable stripping ratios and access to deepwater export terminals. Ore quality matters because lower-grade material may require crushing, washing, or concentration before it can be sold into seaborne markets.

Production is constrained by long lead times for mine development, rail links, ports, and processing plants. Weather can disrupt supply through flooding, cyclones, or seasonal rainfall that affects mining and shipping. In some regions, water availability is also a limiting factor for beneficiation. Iron ore is less exposed to biological risk than agricultural commodities, but operational interruptions, labor constraints, and infrastructure bottlenecks can still affect availability. Because steel mills require consistent feedstock, differences in moisture, impurity content, and lump-to-fines ratios can influence realized supply even when headline tonnage is stable.

Demand Drivers

Demand for iron ore is driven primarily by steel production, which in turn reflects construction, infrastructure, manufacturing, shipbuilding, automotive output, and machinery investment. The strongest structural demand comes from economies with large fixed-asset investment needs and ongoing urbanization, since steel is used in buildings, bridges, railways, pipelines, and industrial equipment. Replacement demand also matters because steel is durable, but infrastructure and capital stock eventually require renewal.

Substitution occurs mainly through changes in steelmaking routes rather than direct material replacement. Blast furnace-basic oxygen furnace production relies heavily on iron ore and metallurgical coal, while electric arc furnace production uses more scrap steel and less ore. The balance between these routes affects ore demand over long periods. Pelletized and higher-grade ores can gain preference when mills seek better furnace productivity or lower emissions intensity, while lower-grade ores may be discounted because they require more processing. Seasonal patterns are less pronounced than in agricultural markets, but construction cycles, winter weather in some consuming regions, and maintenance shutdowns at steel mills can influence short-term consumption.

Macro and Financial Drivers

Iron ore prices are sensitive to broad industrial activity, especially in economies where steel output is tied to fixed investment and manufacturing cycles. Because the commodity is priced in US dollars, exchange-rate movements affect purchasing power for non-dollar buyers and can influence import demand. Higher interest rates can weigh on construction and durable-goods activity by raising financing costs, while lower rates can support steel-intensive investment. As a bulk physical commodity, iron ore also reflects freight costs, port congestion, and storage constraints, which can create regional price differences and shape the benchmark relationship between seaborne supply and inland demand.

Unlike precious metals, iron ore is not typically used as a financial store of value. Its price behavior is more closely linked to industrial margins, steel output, and inventory management. When supply is abundant relative to near-term mill demand, storage and shipping economics can encourage contango; when mills need prompt delivery and inventories are tight, nearby prices can strengthen relative to deferred prices.

MonthPriceChange
Mar 20061.08-
Apr 20061.08-0.36%
May 20061.06-1.50%
Jun 20061.103.83%
Jul 20061.121.27%
Aug 20061.10-1.47%
Sep 20061.110.49%
Oct 20061.132.42%
Nov 20061.141.11%
Dec 20061.13-1.08%
Jan 20071.206.22%
Feb 20071.275.43%
Mar 20071.356.49%
Apr 20071.382.39%
May 20071.5512.31%
Jun 20071.592.13%
Jul 20071.611.43%
Aug 20071.8615.46%
Sep 20072.2521.07%
Oct 20072.479.66%
Nov 20072.8214.50%
Dec 20072.75-2.42%
Jan 20082.770.49%
Feb 20082.63-5.14%
Mar 20082.734.01%
Apr 20082.67-2.08%
May 20082.64-1.41%
Jun 20082.52-4.59%
Jul 20082.45-2.50%
Aug 20082.512.23%
Sep 20081.99-20.44%
Oct 20081.31-34.35%
Nov 2008.98-25.28%
Dec 20081.045.82%
Jan 20091.084.19%
Feb 20091.156.34%
Mar 2009.98-14.54%
Apr 2009.90-8.27%
May 2009.921.88%
Jun 20091.0413.58%
Jul 20091.2216.97%
Aug 20091.4115.70%
Sep 20091.15-18.38%
Oct 20091.215.56%
Nov 20091.3813.62%
Dec 20091.476.37%
Jan 20101.7619.68%
Feb 20101.802.62%
Mar 20101.968.60%
Apr 20102.3821.84%
May 20102.25-5.71%
Jun 20102.01-10.62%
Jul 20101.74-13.30%
Aug 20101.9713.19%
Sep 20101.88-4.71%
Oct 20101.943.13%
Nov 20102.024.40%
Dec 20102.135.56%
Jan 20112.318.09%
Feb 20112.393.63%
Mar 20112.15-10.13%
Apr 20112.244.14%
May 20112.19-2.09%
Jun 20112.11-3.71%
Jul 20112.10-0.28%
Aug 20112.151.98%
Sep 20112.223.48%
Oct 20111.92-13.37%
Nov 20111.75-9.27%
Dec 20111.771.27%
Jan 20121.801.58%
Feb 20121.76-1.94%
Mar 20121.823.42%
Apr 20121.851.50%
May 20121.72-6.80%
Jun 20121.72-0.04%
Jul 20121.61-6.22%
Aug 20121.34-16.86%
Sep 20121.22-8.77%
Oct 20121.4013.97%
Nov 20121.475.50%
Dec 20121.576.57%
Jan 20131.8517.82%
Feb 20131.913.58%
Mar 20131.74-8.94%
Apr 20131.70-2.46%
May 20131.55-9.07%
Jun 20131.45-6.42%
Jul 20131.6111.38%
Aug 20131.758.31%
Sep 20131.70-2.91%
Oct 20131.65-2.70%
Nov 20131.703.02%
Dec 20131.710.60%
Jan 20141.63-4.66%
Feb 20141.54-5.65%
Mar 20141.42-7.80%
Apr 20141.441.49%
May 20141.26-12.54%
Jun 20141.16-7.77%
Jul 20141.192.85%
Aug 20141.16-3.14%
Sep 20141.04-9.98%
Oct 20141.03-0.79%
Nov 2014.95-7.53%
Dec 2014.90-5.80%
Jan 2015.911.53%
Feb 2015.85-6.94%
Mar 2015.80-5.92%
Apr 2015.71-11.72%
May 2015.8014.02%
Jun 2015.844.74%
Jul 2015.71-15.38%
Aug 2015.7910.30%
Sep 2015.812.37%
Oct 2015.74-7.52%
Nov 2015.66-11.09%
Dec 2015.57-13.85%
Jan 2016.605.23%
Feb 2016.669.80%
Mar 2016.7717.33%
Apr 2016.826.43%
May 2016.76-8.22%
Jun 2016.70-6.69%
Jul 2016.779.78%
Aug 2016.826.04%
Sep 2016.79-4.28%
Oct 2016.824.11%
Nov 20161.0325.87%
Dec 20161.1511.69%
Jan 20171.150.01%
Feb 20171.2710.13%
Mar 20171.23-2.68%
Apr 2017.98-20.32%
May 2017.87-11.28%
Jun 2017.80-8.66%
Jul 2017.9316.78%
Aug 20171.0411.42%
Sep 2017.97-6.76%
Oct 2017.84-13.10%
Nov 2017.873.94%
Dec 2017.9711.62%
Jan 20181.013.78%
Feb 20181.021.29%
Mar 2018.92-9.57%
Apr 2018.86-6.52%
May 2018.882.36%
Jun 2018.88-0.96%
Jul 2018.880.43%
Aug 2018.924.44%
Sep 2018.942.11%
Oct 20181.017.84%
Nov 20181.01-0.44%
Dec 2018.95-5.95%
Jan 20191.038.97%
Feb 20191.1915.61%
Mar 20191.17-1.96%
Apr 20191.278.53%
May 20191.378.03%
Jun 20191.488.17%
Jul 20191.6410.19%
Aug 20191.29-21.21%
Sep 20191.28-0.37%
Oct 20191.21-5.42%
Nov 20191.16-4.77%
Dec 20191.268.78%
Jan 20201.292.82%
Feb 20201.22-5.82%
Mar 20201.263.46%
Apr 20201.21-4.25%
May 20201.3310.03%
Jun 20201.448.44%
Jul 20201.514.57%
Aug 20201.6610.11%
Sep 20201.691.91%
Oct 20201.63-3.62%
Nov 20201.682.98%
Dec 20202.0723.64%
Jan 20212.258.42%
Feb 20212.17-3.27%
Mar 20212.263.81%
Apr 20212.406.27%
May 20212.7715.26%
Jun 20212.863.37%
Jul 20212.901.51%
Aug 20212.20-24.26%
Sep 20211.68-23.58%
Oct 20211.66-1.12%
Nov 20211.31-21.40%
Dec 20211.6022.41%
Jan 20221.7912.05%
Feb 20221.927.44%
Mar 20222.077.48%
Apr 20222.07-0.08%
May 20221.81-12.19%
Jun 20221.81-0.26%
Jul 20221.51-16.32%
Aug 20221.51-0.46%
Sep 20221.41-6.34%
Oct 20221.32-6.56%
Nov 20221.30-1.69%
Dec 20221.5116.73%
Jan 20231.627.13%
Feb 20231.704.73%
Mar 20231.721.42%
Apr 20231.56-9.20%
May 20231.41-9.97%
Jun 20231.538.53%
Jul 20231.53-0.16%
Aug 20231.49-2.43%
Sep 20231.6510.90%
Oct 20231.63-1.32%
Nov 20231.778.60%
Dec 20231.833.47%
Jan 20241.81-0.88%
Feb 20241.67-7.81%
Mar 20241.47-12.03%
Apr 20241.533.99%
May 20241.615.00%
Jun 20241.45-9.59%
Jul 20241.44-0.95%
Aug 20241.31-8.62%
Sep 20241.20-8.44%
Oct 20241.3310.26%
Nov 20241.341.21%
Dec 20241.382.53%
Jan 20251.36-1.53%
Feb 20251.424.38%
Mar 20251.34-5.52%
Apr 20251.29-3.70%
May 20251.26-2.55%
Jun 20251.19-5.54%
Jul 20251.255.09%
Aug 20251.282.90%
Sep 20251.333.49%
Oct 20251.341.03%
Nov 20251.34-0.33%
Dec 20251.351.10%
Jan 20261.360.40%
Feb 20261.25-7.63%
Mar 20261.346.66%

Top Companies

Companhia Vale Do Rio Doce
Website: http://www.vale.com/
Location: Rio De Janerio, Brazil
Estimated Production: 301.7 million tonnes per year

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