Copra Monthly Price - Chilean Peso per Metric Ton

Data as of March 2026

Range
Apr 2006 - Jan 2021: 510,955.800 (274.75%)
Chart

Description: Copra (Philippines/Indonesia), bulk, c.i.f. N.W. Europe

Unit: Chilean Peso per Metric Ton



Source: ISTA Mielke GmbH, Oil World; US Department of Agriculture; World Bank.

See also: Agricultural production statistics

See also: Top commodity suppliers

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

Overview

Copra is the dried kernel of the coconut, produced by splitting mature coconuts and removing moisture so that the flesh can be pressed for oil. In commodity markets, it is typically priced per metric ton, with quotations often reflecting standard export grades and moisture content. Copra is a traditional oilseed raw material rather than a consumer food in bulk trade, and its market value is closely linked to the value of coconut oil and, indirectly, to other vegetable oils. The main commercial uses are crushing into coconut oil and production of coconut meal or cake, which is used in animal feed in some markets. Coconut oil derived from copra is also used in food processing, soaps, detergents, cosmetics, and industrial applications. Because copra is a processed agricultural product, its pricing depends not only on coconut harvests but also on drying quality, storage conditions, and transport from tropical producing areas to crushing and export centers.

Supply Drivers

Copra supply is shaped by the biology of the coconut palm, which grows in humid tropical climates and requires long maturation periods before bearing fruit. Production is concentrated in tropical coastal and island regions of South and Southeast Asia, the Pacific, and parts of East Africa and Latin America, where rainfall, temperature, and soil conditions support coconut cultivation. Output depends on the age profile of palm stands, because coconut trees are perennial and replacement takes many years. This creates slow adjustment to price signals compared with annual crops. Weather is a persistent supply factor: drought, excessive rainfall, cyclones, and saltwater intrusion can reduce nut set, harvest quality, and drying efficiency. Pests and diseases also matter because they can damage palms over long periods and reduce yields.

Copra is highly sensitive to post-harvest handling. Drying methods, humidity, and storage conditions affect oil content, mold risk, and quality discounts. Transport bottlenecks are common in dispersed island production areas, where collection from smallholders and shipment to crushers or ports adds cost. Because copra is bulky and relatively low in value per unit weight, freight and logistics materially influence export competitiveness. Supply is also tied to competing uses for coconuts, including fresh consumption and desiccated coconut processing, which can divert nuts away from copra production.

Demand Drivers

Demand for copra is driven primarily by the crushing industry, which converts it into coconut oil and coconut meal. Coconut oil is used in food manufacturing, confectionery, frying applications in some markets, and non-food uses such as soaps, surfactants, and personal-care products. Coconut meal or cake is a byproduct used in livestock feed, although its use depends on local feed formulations and relative prices of other protein meals. Because copra is an input rather than a final consumer good, its demand is derived from downstream demand for coconut oil and meal.

Substitution is important. Coconut oil competes with palm oil, soybean oil, rapeseed oil, and other vegetable oils in food and industrial applications, so relative prices among oils influence crushing demand for copra. In soap and detergent manufacturing, coconut oil is valued for its lauric acid content, which gives it functional properties not fully matched by many other oils. Consumer demand for coconut-based foods and ingredients also supports the market, especially in regions where coconut products are traditional. Seasonal patterns can appear in harvesting and shipping, but end-use demand is more persistent than seasonal. Income growth can raise demand for processed foods, cosmetics, and packaged consumer goods that use coconut derivatives, while health and labeling preferences can shift product formulations over long periods.

Macro and Financial Drivers

Copra prices are influenced by the value of the U.S. dollar because the commodity is commonly quoted in dollars while production costs are incurred in local currencies. Exchange-rate changes can alter export competitiveness and producer margins. As with other storable agricultural commodities, financing costs matter: higher interest rates raise the cost of holding inventories, which can affect the relationship between nearby and deferred prices. Storage conditions are also important because copra can deteriorate if moisture is not controlled, so quality risk limits long-term warehousing and can steepen nearby price sensitivity.

Copra often moves with broader vegetable-oil markets because crushers and buyers compare feedstock economics across oils. It can also show sensitivity to freight costs, since tropical origin-to-port logistics are a meaningful part of delivered value. Inflation affects nominal prices through input costs such as labor, fuel, packaging, and transport, but the main price mechanism remains the balance between coconut oil demand and the availability of dried coconut kernel.

MonthPriceChange
Apr 2006185,968.50-
May 2006188,357.501.28%
Jun 2006193,810.102.89%
Jul 2006197,099.401.70%
Aug 2006203,332.803.16%
Sep 2006204,801.100.72%
Oct 2006207,831.601.48%
Nov 2006216,356.704.10%
Dec 2006240,652.9011.23%
Jan 2007248,673.703.33%
Feb 2007259,094.904.19%
Mar 2007259,928.000.32%
Apr 2007275,668.006.06%
May 2007294,881.906.97%
Jun 2007323,995.409.87%
Jul 2007303,074.70-6.46%
Aug 2007299,169.30-1.29%
Sep 2007302,152.701.00%
Oct 2007318,566.605.43%
Nov 2007360,142.2013.05%
Dec 2007365,309.101.43%
Jan 2008388,379.506.32%
Feb 2008408,431.905.16%
Mar 2008412,994.701.12%
Apr 2008406,428.70-1.59%
May 2008446,421.109.84%
Jun 2008483,809.308.38%
Jul 2008456,426.90-5.66%
Aug 2008391,990.80-14.12%
Sep 2008369,263.40-5.80%
Oct 2008338,237.10-8.40%
Nov 2008292,675.80-13.47%
Dec 2008299,847.902.45%
Jan 2009284,876.50-4.99%
Feb 2009253,991.90-10.84%
Mar 2009231,551.50-8.84%
Apr 2009273,165.3017.97%
May 2009300,410.009.97%
Jun 2009260,633.40-13.24%
Jul 2009231,878.20-11.03%
Aug 2009255,952.8010.38%
Sep 2009241,827.30-5.52%
Oct 2009241,072.50-0.31%
Nov 2009231,903.80-3.80%
Dec 2009239,738.203.38%
Jan 2010246,025.502.62%
Feb 2010266,784.408.44%
Mar 2010301,676.5013.08%
Apr 2010308,516.802.27%
May 2010312,202.901.19%
Jun 2010335,041.907.32%
Jul 2010346,179.203.32%
Aug 2010375,626.508.51%
Sep 2010394,776.105.10%
Oct 2010431,014.809.18%
Nov 2010460,347.306.81%
Dec 2010518,780.0012.69%
Jan 2011628,941.6021.23%
Feb 2011676,241.007.52%
Mar 2011590,011.00-12.75%
Apr 2011630,084.106.79%
May 2011622,999.00-1.12%
Jun 2011540,847.00-13.19%
Jul 2011487,557.10-9.85%
Aug 2011428,943.10-12.02%
Sep 2011399,636.40-6.83%
Oct 2011389,072.30-2.64%
Nov 2011473,497.3021.70%
Dec 2011474,486.800.21%
Jan 2012460,826.30-2.88%
Feb 2012429,041.50-6.90%
Mar 2012409,489.30-4.56%
Apr 2012414,275.801.17%
May 2012359,397.30-13.25%
Jun 2012336,991.00-6.23%
Jul 2012330,557.10-1.91%
Aug 2012302,598.20-8.46%
Sep 2012287,440.30-5.01%
Oct 2012270,927.80-5.74%
Nov 2012255,160.50-5.82%
Dec 2012233,346.50-8.55%
Jan 2013246,087.005.46%
Feb 2013253,971.503.20%
Mar 2013243,163.80-4.26%
Apr 2013234,845.80-3.42%
May 2013248,375.305.76%
Jun 2013282,732.6013.83%
Jul 2013273,935.60-3.11%
Aug 2013286,711.304.66%
Sep 2013311,129.108.52%
Oct 2013310,404.10-0.23%
Nov 2013415,692.6033.92%
Dec 2013424,842.702.20%
Jan 2014430,258.301.27%
Feb 2014476,563.0010.76%
Mar 2014494,921.803.85%
Apr 2014473,022.60-4.42%
May 2014490,328.803.66%
Jun 2014478,692.90-2.37%
Jul 2014441,943.10-7.68%
Aug 2014438,232.30-0.84%
Sep 2014442,406.100.95%
Oct 2014425,722.20-3.77%
Nov 2014444,105.004.32%
Dec 2014464,929.204.69%
Jan 2015453,946.40-2.36%
Feb 2015468,255.903.15%
Mar 2015434,460.40-7.22%
Apr 2015416,223.60-4.20%
May 2015433,025.204.04%
Jun 2015447,573.503.36%
Jul 2015448,630.400.24%
Aug 2015446,724.70-0.42%
Sep 2015451,172.801.00%
Oct 2015460,579.202.08%
Nov 2015465,480.001.06%
Dec 2015483,372.703.84%
Jan 2016495,444.702.50%
Feb 2016498,459.800.61%
Mar 2016529,045.806.14%
Apr 2016551,990.504.34%
May 2016531,075.30-3.79%
Jun 2016545,545.302.72%
Jul 2016524,110.20-3.93%
Aug 2016534,656.502.01%
Sep 2016542,787.201.52%
Oct 2016522,048.60-3.82%
Nov 2016539,977.303.43%
Dec 2016572,547.106.03%
Jan 2017590,027.403.05%
Feb 2017554,464.10-6.03%
Mar 2017531,742.60-4.10%
Apr 2017534,831.400.58%
May 2017555,017.603.77%
Jun 2017564,888.101.78%
Jul 2017539,917.90-4.42%
Aug 2017526,190.90-2.54%
Sep 2017504,484.30-4.13%
Oct 2017497,814.30-1.32%
Nov 2017514,009.603.25%
Dec 2017497,995.80-3.12%
Jan 2018463,336.30-6.96%
Feb 2018428,150.40-7.59%
Mar 2018407,950.80-4.72%
Apr 2018409,248.000.32%
May 2018404,939.60-1.05%
Jun 2018392,610.30-3.04%
Jul 2018398,997.501.63%
Aug 2018402,452.400.87%
Sep 2018385,542.50-4.20%
Oct 2018354,967.50-7.93%
Nov 2018324,100.70-8.70%
Dec 2018344,351.706.25%
Jan 2019333,724.60-3.09%
Feb 2019295,476.60-11.46%
Mar 2019286,310.30-3.10%
Apr 2019282,917.20-1.19%
May 2019290,504.002.68%
Jun 2019277,829.10-4.36%
Jul 2019288,702.803.91%
Aug 2019322,229.9011.61%
Sep 2019326,564.801.35%
Oct 2019325,849.30-0.22%
Nov 2019397,138.5021.88%
Dec 2019471,620.3018.75%
Jan 2020467,522.40-0.87%
Feb 2020425,839.20-8.92%
Mar 2020443,198.604.08%
Apr 2020451,343.701.84%
May 2020426,922.30-5.41%
Jun 2020457,753.107.22%
Jul 2020440,382.50-3.79%
Aug 2020482,645.509.60%
Sep 2020502,147.404.04%
Oct 2020549,162.109.36%
Nov 2020647,309.4017.87%
Dec 2020654,661.901.14%
Jan 2021696,924.306.46%

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