Commodity Origins

El Nino and La Nina: which commodities they hit

Published 2026-09-05; updated 2026-09-05.

El Niño and La Niña are the warm and cool phases of a recurring shift in sea surface temperature and trade winds across the equatorial Pacific, known together as the El Niño Southern Oscillation. Neither is a storm or a season; each is a state of the ocean and atmosphere that persists for several seasons and rearranges where rain falls across the tropics.

For commodities the relevant fact is not the ocean but the map. A rainfall anomaly only matters to a world market if it lands where a large share of world production sits, and for several soft commodities it does.

How does a Pacific temperature shift reach a cocoa farm?

In the neutral state, trade winds push warm surface water westward, piling it up around Indonesia and the western Pacific. Air rises over that warm pool, which is why the region is wet, and sinks over the cool eastern Pacific, which is why coastal Peru is dry. This overturning loop is the Walker circulation.

During El Niño, the trade winds weaken and the warm pool spreads eastward. The zone of rising air moves with it. Maritime Southeast Asia and eastern Australia sit under sinking air and turn drier; parts of the eastern Pacific coast of South America turn wetter. During La Niña the winds strengthen, the warm pool packs further west, and the pattern broadly reverses. The knock-on shifts in pressure and storm tracks far from the Pacific are called teleconnections, and they are what carry the signal to West Africa, southern Africa and the Americas.

Three properties of that chain decide whether it shows up in a price. The first is concentration: a drier season in a region that grows 5% of a crop is noise, and one that grows half of it is not. The second is lag. Rainfall at flowering or during bunch formation affects a harvest one to three seasons later, so a market absorbs the news when the pods, cherries or fruit bunches fail to arrive, not when the rain does. Tree crops carry the effect longest, because a stressed tree yields less for more than one cycle.

The third is inventory. A shortfall meeting a full warehouse is absorbed; the same shortfall meeting a thin one is not, which is the stocks-to-use mechanism. World palm oil stocks-to-use fell from 25.3% in the 2021/22 marketing year to 18.8% in 2026/27 (USDA Production, Supply and Distribution), and a market with a thinner cushion converts a given weather event into a larger price move.

Share of world production held by the top producers in Pacific-influenced regions Horizontal bars showing combined production shares of the two largest producers of four crops. Palm oil, from Indonesia and Malaysia, reaches 82.5 percent of world output in 2023. Coffee, from Brazil and Vietnam, reaches 48.5 percent, natural rubber from Thailand and Indonesia 47.6 percent, and cocoa from Ivory Coast and Ghana 46.3 percent, all in 2024. Australian wheat is 4.3 percent of world wheat in 2024. How much of world output sits with the two largest producers Palm oil 2023, all others 2024 (FAOSTAT); darker segment is the largest producer Palm oil Indonesia, Malaysia 82.5% Coffee, green Brazil, Vietnam 48.5% Natural rubber Thailand, Indonesia 47.6% Cocoa beans Ivory Coast, Ghana 46.3% Wheat Australia only 4.3% 0% 25% 50% 75% 100% Exposure is concentration: the same rainfall anomaly matters far more for palm oil than for wheat.

A Pacific rainfall shift becomes a world price event only where a large share of supply sits inside the affected belt.

A worked example

Do the exposure arithmetic for palm oil, the most concentrated of the major soft commodities. World palm oil production was 79.6 million tonnes in 2023, of which Indonesia produced 47.1 million tonnes, or 59.2%, and Malaysia 18.6 million tonnes, or 23.3% (FAOSTAT). Together that is 82.5% of world output, grown in two countries that sit directly under the western Pacific warm pool.

Now add the trade layer. In 2024 those two countries also supplied the bulk of the traded market: world exports of palm oil and its fractions were $43.8 billion, of which Indonesia shipped $21.1 billion, or 48.2%, and Malaysia $15.1 billion, or 34.4% (CEPII BACI). On the buying side, India imported $8.33 billion, or 19.0%. There is no third source of scale to switch to, so a supply disturbance in maritime Southeast Asia has to be resolved by price rather than by substitution of origin.

Finally the cushion. Palm oil stocks-to-use stood at 18.8% in the 2026/27 marketing year against 25.3% in 2021/22 (USDA PSD), and the World Bank Pink Sheet quoted Malaysian palm oil at $1,117 per tonne CIF Northwest Europe in August 2026, against a series high of $1,777 per tonne in March 2022. Those three facts describe how much of world supply a Pacific anomaly can reach, how few alternatives buyers have, and how much slack the system carries. They do not say what any particular phase will do.

Compare cocoa. Ivory Coast produced 1.89 million tonnes of the 5.22 million tonnes grown worldwide in 2024, or 36.2%, and Ghana 530,000 tonnes, or 10.1% (FAOSTAT). Concentration is similar to rubber’s, the growing region is different, and the teleconnection that reaches West Africa is weaker and less reliable than the direct effect over Indonesia. Exposure has to be assessed crop by crop.

Reading a phase without forecasting one

Three cautions keep this useful. Concentration is measured, but the strength of a teleconnection is not fixed: the same phase has coincided with very different outcomes in the same growing region in different decades. Timing matters more than magnitude, because a dry spell during flowering and the same dry spell after harvest have entirely different consequences. And the market prices expectations, so by the time a smaller crop is confirmed, much of the move may already sit in the price.

What the data supports is a map of vulnerability, not a prediction. The palm oil and cocoa pages carry the harvest calendars that say which months of rainfall matter for each, and why commodity prices spike sets out what happens once a shortfall meets a thin inventory.

Frequently asked questions

What are El Nino and La Nina?

They are the two phases of a recurring swing in sea surface temperature and trade winds across the equatorial Pacific, together called the El Nino Southern Oscillation. El Nino is the warm phase in the central and eastern Pacific; La Nina is the cool phase. Each typically lasts several seasons.

Which commodities are most exposed to El Nino?

Those whose production concentrates in the Pacific rim and the tropics. Indonesia and Malaysia grew 82.5% of world palm oil in 2023, and Thailand and Indonesia grew 47.6% of world natural rubber in 2024 (FAOSTAT), so a rainfall shift in maritime Southeast Asia reaches a large share of world supply.

Does El Nino cause drought or floods?

Both, in different places. The warm phase shifts the region of rising air eastward across the Pacific, which historically brings drier conditions to Indonesia, Malaysia and eastern Australia, and wetter conditions to parts of the eastern Pacific coast of South America.

Why does a weather event show up in prices months later?

Because tree crops and grains respond on a biological schedule. Rainfall during flowering or bunch formation affects a harvest that arrives one to three seasons later, and the price reacts when the smaller harvest reaches the market, not when the rain fails.

Does La Nina simply reverse El Nino?

Not symmetrically. The cool phase generally shifts rainfall the other way, but the crops affected, the timing within their growing season and the state of inventories differ, so the price consequence is not a mirror image of the warm phase.

How much of a crop can one phase affect?

It depends entirely on concentration. Ivory Coast and Ghana grew 46.3% of world cocoa beans in 2024 and Brazil and Vietnam grew 48.5% of world green coffee (FAOSTAT), so weather in a handful of regions can reach roughly half of world output of either crop.

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Cite as: Commodity Origins, "El Nino and La Nina: which commodities they hit", https://commodityorigins.com/learn/el-nino-la-nina/ (CC BY 4.0).