217 REPORTING ECONOMIES · NORTH AMERICA / EUROPE / ASIA / AFRICA / OCEANIA / SOUTH AMERICAOfficial sources. Open methods. Trace every number.
COMMODITY ORIGINS · LINKED PRICES AND SEASONS

Which prices move together, and which have a season?

Derived report snapshot · 2026-10-04 · Original report

The most closely linked pair of benchmark prices is platinum and silver: their month-to-month percentage changes correlate at 0.80 over the 120 months to August 2026. Of the 903 possible pairs among 43 series, 23 correlate at 0.5 or higher and 121 at 0.3 or higher, so most commodity prices move largely independently of one another.

Prices that move together

The table shows the correlation of month-to-month percentage changes in each pair of benchmark prices over the 120 months from September 2016 to August 2026. A value of 1 means the two rise and fall in step, 0 means no relationship, and −1 means they move in opposite directions. Using changes rather than price levels avoids the trap that two prices which both trend upward always look related. Correlation is not causation: linked prices often share a cause such as energy costs, the dollar or a common buyer.

Which benchmark prices move togetherPlatinum and Silver: correlation 0.80; Copper and Zinc: correlation 0.73; Gold and Silver: correlation 0.72; Coconut oil and Palm kernel oil: correlation 0.72; Logs and Sawnwood: correlation 0.69; Copper and Tin: correlation 0.69; Canola and Sunflower oil: correlation 0.66; Palm kernel oil and Palm oil: correlation 0.64; Logs and Plywood: correlation 0.61; Aluminum and Copper: correlation 0.61; Palm oil and Sunflower oil: correlation 0.60; Lead and Zinc: correlation 0.59; Copper and Platinum: correlation 0.56; Aluminum and Zinc: correlation 0.55; Copper and Lead: correlation 0.55; Aluminum and Tin: correlation 0.55; Copper and Silver: correlation 0.54; Lead and Nickel: correlation 0.52; Nickel and Silver: correlation 0.51; Copper and Nickel: correlation 0.51; Corn and Wheat: correlation 0.51; Gold and Platinum: correlation 0.51; Aluminum and Nickel: correlation 0.51; Tin and Zinc: correlation 0.50; Silver and Tin: correlation 0.50; Phosphate rock and Plywood: correlation -0.26; Crude oil and Rice: correlation -0.25; Lamb and Tobacco: correlation -0.25; Peanuts and Tea: correlation -0.23; Rice and Sugar: correlation -0.21; Beef and Rice: correlation -0.21; Lamb and Peanuts: correlation -0.21; Tobacco and Wheat: correlation -0.20; Crude oil and Plywood: correlation -0.20; Soybeans and Tobacco: correlation -0.20.Platinum and Silver: correlation 0.80Copper and Zinc: correlation 0.73Gold and Silver: correlation 0.72Coconut oil and Palm kernel oil: correlation 0.72Logs and Sawnwood: correlation 0.69Copper and Tin: correlation 0.69Canola and Sunflower oil: correlation 0.66Palm kernel oil and Palm oil: correlation 0.64Logs and Plywood: correlation 0.61Aluminum and Copper: correlation 0.61Palm oil and Sunflower oil: correlation 0.60Lead and Zinc: correlation 0.59Copper and Platinum: correlation 0.56Aluminum and Zinc: correlation 0.55Copper and Lead: correlation 0.55Aluminum and Tin: correlation 0.55Copper and Silver: correlation 0.54Lead and Nickel: correlation 0.52Nickel and Silver: correlation 0.51Copper and Nickel: correlation 0.51Corn and Wheat: correlation 0.51Gold and Platinum: correlation 0.51Aluminum and Nickel: correlation 0.51Tin and Zinc: correlation 0.50Silver and Tin: correlation 0.50Phosphate rock and Plywood: correlation -0.26Crude oil and Rice: correlation -0.25Lamb and Tobacco: correlation -0.25Peanuts and Tea: correlation -0.23Rice and Sugar: correlation -0.21Beef and Rice: correlation -0.21Lamb and Peanuts: correlation -0.21Tobacco and Wheat: correlation -0.20Crude oil and Plywood: correlation -0.20Soybeans and Tobacco: correlation -0.20AluminumBeefCanolaCoconut oilCopperCornCrude oilGoldLambLeadLogsNickelPalm kernel oilPalm oilPeanutsPhosphate rockPlatinumPlywoodRiceSawnwoodSilverSoybeansSugarSunflower oilTeaTinTobaccoWheatZinc

Green: prices that rise and fall together. Brown: prices that move in opposite directions. Thicker and darker lines are stronger correlations.

The most negative pair is phosphate rock and plywood at -0.26, which is weak: no two of the 43 prices are strongly opposed.

What one commodity buys of another

Ratios between benchmark prices
RatioLatest (August 2026)Average since 1960Lowest monthHighest month
Gold to silver
ounces of silver per ounce of gold
675516 (June 1968)111 (April 2020)
Gold to crude oil
barrels of oil per ounce of gold
49206.68 (June 2008)72 (April 2020)
Platinum to gold
ounces of gold per ounce of platinum
0.401.470.30 (May 2025)3.80 (December 1969)
Copper to gold
ounces of gold per tonne of copper
3.25102.58 (February 2026)54 (April 1966)

Prices with a season

For each benchmark price, each month is compared with the average of the twelve months around it, and the results are averaged by calendar month over 2000 to the last full year. The table lists prices where the gap between the highest and lowest calendar month is at least 6% and the highest month beat the lowest in at least three years out of four. The highest and lowest months are chosen after the fact from all twelve, so this describes the past and is not a forecast or a trading signal.

Benchmark prices with a consistent calendar-month pattern
CommodityUsually highestUsually lowestGapYears highest beat lowest
BananasMarchNovember15%26 of 26
TeaJulyMarch14%25 of 26
Palm kernel oilFebruaryOctober11%20 of 26
Iron oreFebruaryNovember11%23 of 26
TinAprilNovember8%20 of 26
ChickenJuneNovember8%20 of 26
CornMayAugust7%22 of 26
PlatinumFebruaryOctober7%20 of 26

World Bank Commodity Price Data (the Pink Sheet), primary series for each commodity; only series updated in the latest month are used. Ratios use monthly average prices for both commodities.

Source snapshot and downloads

Recreated from Commodity Origins' published derived reports under CC BY 4.0. Report figures retain the publisher's definitions, coverage and reporting years. Selection of underlying commodity rows in our commodity explorer is separate and may have different coverage. Source notes above identify the upstream data; no publisher endorsement is implied.

Snapshot retrieved 2026-10-05. New source vintages require review and republication.

More patterns

ConcentrationHow much of each commodity comes from one country?Producer or exporter?Is the biggest producer also the biggest seller abroad?Prices in real termsWhich prices are records once inflation is removed?Growth and declineWhose output is rising or falling fastest?Reserves and miningWhere are the deposits, and who digs them up?Supply concentrationWhich commodities depend on the fewest suppliers?Land or yield?Did output grow because farmers planted more or farmed better?Supply shocks and pricesWhen world output falls, do prices rise?Category price indicesHow have energy, metals and food prices moved since 1960?Drawdowns and volatilityHow far do prices fall, and do they recover?Stocks and pricesAre prices lower when the world holds more stock?Which prices follow oil?How closely does each commodity track crude oil?How reliable is the data?How much of world output rests on estimates?Net exporters and importersWho is a net seller and who a net buyer?Country leadersWhich countries lead across the most commodities?Export dependencyWhich countries rely on one commodity?Concentration over timeHas production spread out or narrowed?Import dependencyWhich countries buy most of a commodity from one supplier?Supplier shiftsWho gained and lost importers' business?Trade price against benchmarkDoes traded product sell above or below the benchmark price?Prices in other currenciesHow much of a price move is the dollar?Do prices lead each other?Does one commodity price move before another?Volatility over timeAre prices more volatile now than they used to be?SeasonalityWhich prices have a calendar-month pattern?Price ratiosWhat does one commodity buy of another, and is that high or low?El Niño and pricesDo El Niño and La Niña years move commodity prices?Who consumes itWhich countries consume each commodity, and how much per person?Self-sufficiencyWhich large markets depend on imports, and which produce far more than they use?Trade flowsWho sells each commodity to whom?