Iron Ore Monthly Price - Danish Krone per Dry Metric Ton

Data as of March 2026

Range
Apr 2006 - Mar 2026: 2.659 (65.02%)
Chart

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

Unit: Danish Krone 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
Apr 20064.09-
May 20063.93-3.80%
Jun 20064.093.96%
Jul 20064.151.39%
Aug 20064.06-1.97%
Sep 20064.100.94%
Oct 20064.243.31%
Nov 20064.260.49%
Dec 20064.15-2.64%
Jan 20074.488.14%
Feb 20074.715.09%
Mar 20074.985.70%
Apr 20075.030.96%
May 20075.6211.78%
Jun 20075.731.90%
Jul 20075.760.47%
Aug 20076.6615.71%
Sep 20077.9719.69%
Oct 20078.8110.49%
Nov 20079.9012.46%
Dec 20079.73-1.77%
Jan 20089.790.62%
Feb 20089.41-3.89%
Mar 20089.460.59%
Apr 20089.28-1.92%
May 20089.25-0.35%
Jun 20088.82-4.69%
Jul 20088.54-3.15%
Aug 20088.914.31%
Sep 20087.25-18.61%
Oct 20084.97-31.47%
Nov 20083.80-23.51%
Dec 20083.902.66%
Jan 20094.084.67%
Feb 20094.417.89%
Mar 20093.66-16.90%
Apr 20093.38-7.75%
May 20093.431.52%
Jun 20093.8111.16%
Jul 20094.4416.41%
Aug 20095.1014.84%
Sep 20094.13-19.04%
Oct 20094.365.69%
Nov 20094.9513.56%
Dec 20095.347.93%
Jan 20106.5622.68%
Feb 20106.945.77%
Mar 20107.6610.48%
Apr 20109.5825.04%
May 20109.54-0.44%
Jun 20108.75-8.21%
Jul 20107.38-15.75%
Aug 20108.4013.87%
Sep 20108.01-4.58%
Oct 20107.97-0.58%
Nov 20108.476.31%
Dec 20109.208.56%
Jan 201110.008.71%
Feb 201110.232.29%
Mar 20119.02-11.76%
Apr 20119.272.71%
May 20119.20-0.75%
Jun 20118.86-3.64%
Jul 20119.052.11%
Aug 20119.221.88%
Sep 20119.604.11%
Oct 20118.17-14.88%
Nov 20117.43-9.09%
Dec 20117.703.60%
Jan 20128.084.95%
Feb 20127.89-2.24%
Mar 20128.153.21%
Apr 20128.342.38%
May 20127.91-5.16%
Jun 20127.990.96%
Jul 20127.75-2.93%
Aug 20126.46-16.74%
Sep 20125.76-10.75%
Oct 20126.5513.65%
Nov 20127.017.01%
Dec 20127.314.38%
Jan 20138.4515.57%
Feb 20138.632.08%
Mar 20138.04-6.80%
Apr 20137.86-2.22%
May 20137.11-9.53%
Jun 20136.49-8.76%
Jul 20137.2411.63%
Aug 20137.686.01%
Sep 20137.50-2.36%
Oct 20137.25-3.30%
Nov 20137.544.01%
Dec 20137.40-1.93%
Jan 20147.02-5.08%
Feb 20146.64-5.47%
Mar 20146.04-8.98%
Apr 20146.192.54%
May 20145.45-11.94%
Jun 20145.09-6.71%
Jul 20145.293.97%
Aug 20145.19-2.00%
Sep 20144.76-8.23%
Oct 20144.760.09%
Nov 20144.40-7.62%
Dec 20144.12-6.33%
Jan 20154.386.24%
Feb 20154.12-5.86%
Mar 20154.00-3.04%
Apr 20153.62-9.37%
May 20154.0411.58%
Jun 20154.173.11%
Jul 20153.56-14.65%
Aug 20153.775.87%
Sep 20153.790.53%
Oct 20153.53-6.76%
Nov 20153.25-7.87%
Dec 20152.78-14.54%
Jan 20162.883.55%
Feb 20163.159.52%
Mar 20163.7820.00%
Apr 20164.005.68%
May 20163.63-9.25%
Jun 20163.44-5.14%
Jul 20163.8511.87%
Aug 20164.044.94%
Sep 20163.84-5.02%
Oct 20163.993.96%
Nov 20165.0326.05%
Dec 20165.6412.27%
Jan 20175.63-0.20%
Feb 20176.2510.88%
Mar 20176.10-2.36%
Apr 20174.87-20.17%
May 20174.21-13.61%
Jun 20173.81-9.41%
Jul 20174.3814.81%
Aug 20174.799.55%
Sep 20174.47-6.80%
Oct 20173.90-12.65%
Nov 20174.084.50%
Dec 20174.5411.43%
Jan 20184.672.70%
Feb 20184.670.13%
Mar 20184.25-9.11%
Apr 20183.99-6.15%
May 20184.174.57%
Jun 20184.15-0.45%
Jul 20184.12-0.79%
Aug 20184.345.32%
Sep 20184.380.97%
Oct 20184.778.93%
Nov 20184.810.85%
Dec 20184.54-5.67%
Jan 20194.989.76%
Feb 20195.8016.47%
Mar 20195.71-1.55%
Apr 20196.229.02%
May 20196.687.39%
Jun 20197.207.75%
Jul 20198.0011.13%
Aug 20196.24-22.04%
Sep 20196.311.18%
Oct 20195.99-5.19%
Nov 20195.74-4.05%
Dec 20196.238.52%
Jan 20206.453.44%
Feb 20206.01-6.84%
Mar 20206.010.09%
Apr 20205.82-3.18%
May 20206.4110.12%
Jun 20206.846.74%
Jul 20207.032.82%
Aug 20207.628.36%
Sep 20207.812.50%
Oct 20207.57-3.09%
Nov 20207.833.39%
Dec 20209.5221.64%
Jan 202110.368.83%
Feb 202110.07-2.87%
Mar 202110.514.43%
Apr 202111.156.09%
May 202112.7214.07%
Jun 202113.244.07%
Jul 202113.481.81%
Aug 202110.24-23.99%
Sep 20217.88-23.11%
Oct 20217.880.05%
Nov 20216.26-20.53%
Dec 20217.7022.87%
Jan 20228.7213.31%
Feb 20229.377.44%
Mar 202210.279.60%
Apr 202210.411.39%
May 20229.24-11.24%
Jun 20229.19-0.52%
Jul 20227.95-13.57%
Aug 20228.000.63%
Sep 20227.50-6.24%
Oct 20227.01-6.54%
Nov 20226.82-2.63%
Dec 20227.8715.33%
Jan 20238.447.29%
Feb 20238.865.01%
Mar 20238.930.79%
Apr 20237.97-10.76%
May 20237.20-9.66%
Jun 20237.798.14%
Jul 20237.70-1.15%
Aug 20237.53-2.22%
Sep 20238.4512.25%
Oct 20238.40-0.57%
Nov 20239.067.85%
Dec 20239.403.75%
Jan 20249.29-1.17%
Feb 20248.59-7.54%
Mar 20247.53-12.37%
Apr 20247.844.16%
May 20248.204.60%
Jun 20247.45-9.15%
Jul 20247.35-1.36%
Aug 20246.77-7.88%
Sep 20246.24-7.87%
Oct 20246.9311.15%
Nov 20247.061.78%
Dec 20247.262.95%
Jan 20257.17-1.26%
Feb 20257.534.98%
Mar 20256.91-8.23%
Apr 20256.48-6.23%
May 20256.42-0.92%
Jun 20255.97-6.94%
Jul 20256.224.08%
Aug 20256.392.83%
Sep 20256.572.74%
Oct 20256.651.18%
Nov 20256.62-0.38%
Dec 20256.680.88%
Jan 20266.761.13%
Feb 20266.24-7.61%
Mar 20266.758.12%

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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