Copra Monthly Price - Russian Ruble per Metric Ton

Data as of March 2026

Range
May 2003 - Apr 2013: 7,279.628 (87.63%)
Chart

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

Unit: Russian Ruble 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
May 20038,307.34-
Jun 20038,668.624.35%
Jul 20038,256.99-4.75%
Aug 20037,952.32-3.69%
Sep 20037,995.300.54%
Oct 20038,527.186.65%
Nov 20039,511.2111.54%
Dec 200311,215.9717.92%
Jan 200410,653.10-5.02%
Feb 200411,274.685.83%
Mar 200412,229.078.46%
Apr 200413,695.9411.99%
May 200413,758.630.46%
Jun 200411,793.38-14.28%
Jul 200412,227.673.68%
Aug 200411,742.64-3.97%
Sep 200412,215.524.03%
Oct 200411,890.25-2.66%
Nov 200411,840.74-0.42%
Dec 200411,411.43-3.63%
Jan 200511,268.44-1.25%
Feb 200511,664.523.51%
Mar 200512,324.525.66%
Apr 200511,899.98-3.44%
May 200511,325.80-4.83%
Jun 200511,455.221.14%
Jul 200510,836.21-5.40%
Aug 20059,692.15-10.56%
Sep 20059,892.452.07%
Oct 200510,441.565.55%
Nov 200510,436.56-0.05%
Dec 20059,901.98-5.12%
Jan 20069,991.240.90%
Feb 200610,414.174.23%
Mar 20069,941.03-4.54%
Apr 20069,906.45-0.35%
May 20069,785.50-1.22%
Jun 20069,641.15-1.48%
Jul 20069,812.891.78%
Aug 200610,100.342.93%
Sep 200610,169.530.69%
Oct 200610,515.103.40%
Nov 200610,915.943.81%
Dec 200611,999.939.93%
Jan 200712,195.131.63%
Feb 200712,576.763.13%
Mar 200712,602.420.20%
Apr 200713,361.586.02%
May 200714,587.649.18%
Jun 200715,941.929.28%
Jul 200714,898.79-6.54%
Aug 200714,661.59-1.59%
Sep 200714,762.420.69%
Oct 200715,810.387.10%
Nov 200717,365.999.84%
Dec 200717,974.883.51%
Jan 200819,774.1710.01%
Feb 200821,422.778.34%
Mar 200822,130.653.30%
Apr 200821,411.90-3.25%
May 200822,531.985.23%
Jun 200823,167.472.82%
Jul 200821,218.57-8.41%
Aug 200818,350.23-13.52%
Sep 200817,603.73-4.07%
Oct 200814,456.94-17.88%
Nov 200812,291.35-14.98%
Dec 200813,015.055.89%
Jan 200915,011.6515.34%
Feb 200915,010.89-0.01%
Mar 200913,507.35-10.02%
Apr 200915,716.8116.36%
May 200916,951.657.86%
Jun 200914,635.33-13.66%
Jul 200913,521.34-7.61%
Aug 200914,827.979.66%
Sep 200913,553.55-8.59%
Oct 200913,002.13-4.07%
Nov 200913,204.001.55%
Dec 200914,361.288.76%
Jan 201014,651.412.02%
Feb 201015,112.983.15%
Mar 201017,043.4612.77%
Apr 201017,294.041.47%
May 201017,854.923.24%
Jun 201019,477.469.09%
Jul 201019,952.202.44%
Aug 201022,420.2412.37%
Sep 201024,625.229.83%
Oct 201027,014.399.70%
Nov 201029,524.649.29%
Dec 201033,692.0314.11%
Jan 201138,540.2514.39%
Feb 201141,594.337.92%
Mar 201134,984.00-15.89%
Apr 201137,516.617.24%
May 201137,199.79-0.84%
Jun 201132,240.31-13.33%
Jul 201129,395.22-8.82%
Aug 201126,422.97-10.11%
Sep 201125,385.09-3.93%
Oct 201123,765.95-6.38%
Nov 201128,722.7320.86%
Dec 201128,916.510.67%
Jan 201228,728.85-0.65%
Feb 201226,579.02-7.48%
Mar 201224,749.07-6.88%
Apr 201225,141.431.59%
May 201222,336.86-11.16%
Jun 201221,921.66-1.86%
Jul 201221,868.56-0.24%
Aug 201220,110.76-8.04%
Sep 201219,024.04-5.40%
Oct 201217,738.46-6.76%
Nov 201216,671.93-6.01%
Dec 201215,039.60-9.79%
Jan 201315,740.584.66%
Feb 201316,222.683.06%
Mar 201315,856.25-2.26%
Apr 201315,586.97-1.70%

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