Iron Ore Monthly Price - Trinidad and Tobago Dollar per Dry Metric Ton

Data as of March 2026

Range
Apr 2006 - Mar 2026: 2.806 (66.18%)
Chart

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

Unit: Trinidad and Tobago 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
Apr 20064.24-
May 20064.23-0.20%
Jun 20064.363.00%
Jul 20064.431.70%
Aug 20064.36-1.57%
Sep 20064.390.52%
Oct 20064.502.59%
Nov 20064.622.71%
Dec 20064.620.09%
Jan 20074.926.46%
Feb 20075.205.56%
Mar 20075.587.43%
Apr 20075.752.98%
May 20076.4211.59%
Jun 20076.501.28%
Jul 20076.692.98%
Aug 20077.6914.84%
Sep 20079.3721.97%
Oct 200710.6113.14%
Nov 200712.3015.98%
Dec 200711.99-2.55%
Jan 200812.201.75%
Feb 200811.73-3.86%
Mar 200812.446.06%
Apr 200812.36-0.64%
May 200812.06-2.39%
Jun 200811.36-5.86%
Jul 200811.22-1.19%
Aug 200811.13-0.84%
Sep 20088.70-21.81%
Oct 20085.53-36.42%
Nov 20084.07-26.45%
Dec 20084.387.67%
Jan 20094.543.74%
Feb 20094.723.90%
Mar 20094.01-15.02%
Apr 20093.75-6.57%
May 20093.945.01%
Jun 20094.5114.48%
Jul 20095.2917.42%
Aug 20096.1716.53%
Sep 20095.10-17.29%
Oct 20095.507.82%
Nov 20096.2914.30%
Dec 20096.676.18%
Jan 20107.9819.59%
Feb 20108.081.25%
Mar 20108.879.75%
Apr 201010.9523.42%
May 201010.23-6.55%
Jun 20109.11-10.96%
Jul 20108.02-11.92%
Aug 20109.2114.79%
Sep 20108.92-3.11%
Oct 20109.425.61%
Nov 20109.915.11%
Dec 201010.394.93%
Jan 201111.4610.26%
Feb 201111.964.38%
Mar 201110.84-9.40%
Apr 201111.485.94%
May 201111.33-1.30%
Jun 201110.95-3.39%
Jul 201111.081.21%
Aug 201115.9243.65%
Sep 201111.34-28.76%
Oct 20119.62-15.16%
Nov 20118.67-9.85%
Dec 20118.740.75%
Jan 20128.972.70%
Feb 20128.980.04%
Mar 20129.273.23%
Apr 20129.451.96%
May 20128.74-7.46%
Jun 20128.62-1.39%
Jul 20128.21-4.79%
Aug 20126.88-16.23%
Sep 20126.37-7.31%
Oct 20127.2914.44%
Nov 20127.705.56%
Dec 20128.257.11%
Jan 20139.6416.84%
Feb 20139.902.73%
Mar 20138.97-9.42%
Apr 20138.81-1.77%
May 20137.95-9.71%
Jun 20137.36-7.39%
Jul 20138.1510.71%
Aug 20138.807.91%
Sep 20138.62-2.03%
Oct 20138.51-1.28%
Nov 20138.762.95%
Dec 20138.73-0.38%
Jan 20148.22-5.77%
Feb 20147.79-5.27%
Mar 20147.19-7.73%
Apr 20147.392.75%
May 20146.47-12.40%
Jun 20145.93-8.42%
Jul 20146.113.04%
Aug 20145.87-3.82%
Sep 20145.23-10.98%
Oct 20145.14-1.65%
Nov 20144.67-9.15%
Dec 20144.35-6.87%
Jan 20154.33-0.38%
Feb 20153.98-8.17%
Mar 20153.69-7.41%
Apr 20153.32-9.94%
May 20153.8315.28%
Jun 20153.973.78%
Jul 20153.32-16.32%
Aug 20153.567.17%
Sep 20153.611.40%
Oct 20153.37-6.73%
Nov 20153.00-10.95%
Dec 20152.59-13.51%
Jan 20162.693.83%
Feb 20163.0412.74%
Mar 20163.6921.47%
Apr 20164.029.03%
May 20163.66-8.98%
Jun 20163.45-5.71%
Jul 20163.8210.69%
Aug 20164.096.95%
Sep 20163.88-5.00%
Oct 20163.972.27%
Nov 20164.9324.23%
Dec 20165.409.58%
Jan 20175.430.47%
Feb 20176.0411.27%
Mar 20175.91-2.13%
Apr 20174.74-19.81%
May 20174.22-11.08%
Jun 20173.88-7.99%
Jul 20174.5817.94%
Aug 20175.1412.30%
Sep 20174.83-5.92%
Oct 20174.17-13.79%
Nov 20174.344.08%
Dec 20174.8912.65%
Jan 20185.165.58%
Feb 20185.231.37%
Mar 20184.76-9.06%
Apr 20184.44-6.60%
May 20184.460.50%
Jun 20184.40-1.43%
Jul 20184.36-0.87%
Aug 20184.544.00%
Sep 20184.621.89%
Oct 20184.967.31%
Nov 20184.95-0.23%
Dec 20184.68-5.43%
Jan 20195.1510.03%
Feb 20195.9615.66%
Mar 20195.84-1.86%
Apr 20196.338.36%
May 20196.766.82%
Jun 20197.368.78%
Jul 20198.1210.41%
Aug 20196.28-22.65%
Sep 20196.290.04%
Oct 20195.98-4.92%
Nov 20195.74-4.05%
Dec 20196.269.07%
Jan 20206.473.43%
Feb 20205.92-8.51%
Mar 20206.011.54%
Apr 20205.72-4.89%
May 20206.3210.54%
Jun 20206.9810.43%
Jul 20207.335.00%
Aug 20208.1711.48%
Sep 20208.352.21%
Oct 20208.08-3.19%
Nov 20208.393.82%
Dec 202010.5125.21%
Jan 202111.479.18%
Feb 202111.06-3.62%
Mar 202111.372.86%
Apr 202112.156.87%
May 202114.0415.55%
Jun 202114.483.09%
Jul 202114.47-0.07%
Aug 202110.96-24.22%
Sep 20218.42-23.19%
Oct 20218.31-1.37%
Nov 20216.50-21.73%
Dec 20217.9121.74%
Jan 20228.9713.31%
Feb 20229.657.62%
Mar 202210.286.50%
Apr 202210.22-0.59%
May 20228.86-13.33%
Jun 20228.84-0.21%
Jul 20227.34-16.98%
Aug 20227.340.13%
Sep 20226.75-8.15%
Oct 20226.24-7.48%
Nov 20226.301.00%
Dec 20227.5519.80%
Jan 20238.269.36%
Feb 20238.614.24%
Mar 20238.670.67%
Apr 20237.93-8.54%
May 20237.10-10.42%
Jun 20237.667.81%
Jul 20237.730.91%
Aug 20237.43-3.78%
Sep 20238.159.68%
Oct 20238.03-1.51%
Nov 20238.8410.13%
Dec 20239.264.71%
Jan 20249.16-1.09%
Feb 20248.40-8.33%
Mar 20247.42-11.68%
Apr 20247.612.61%
May 20248.025.39%
Jun 20247.25-9.59%
Jul 20247.21-0.60%
Aug 20246.74-6.41%
Sep 20246.27-7.01%
Oct 20246.849.11%
Nov 20246.79-0.77%
Dec 20246.901.63%
Jan 20256.72-2.56%
Feb 20257.095.40%
Mar 20256.76-4.57%
Apr 20256.56-3.00%
May 20256.55-0.14%
Jun 20256.23-4.97%
Jul 20256.575.47%
Aug 20256.732.48%
Sep 20256.973.54%
Oct 20256.980.20%
Nov 20256.91-1.02%
Dec 20257.062.11%
Jan 20267.120.95%
Feb 20266.65-6.60%
Mar 20267.055.88%

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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