Corn
WATCHStress 5/10
- Sorriso: week-ahead forecast shows severe deficit rainfall
- Pergamino: severe deficit rainfall β 39% of the 30-day normal
- Zhengzhou: severe deficit rainfall β 20% of the 30-day normal
The US is the top corn exporter. Explore what another 2012 would expose.
The United States is 30.3% of world corn exports by value (2024 vintage) β the largest corn exporter. In 2012 a hot, dry summer cut deep into the corn belt. This guide walks through what the monitor is seeing right now, how exposed the market is, and lets you model a drought yourself.
Corn
WATCHStress 5/10
Monitor data as of Sep 24, 2026. Scores are observed readings, not forecasts.
Follow the shock downstream β from the corn market, through processors, to the shelf. These are the usual stages, not this scenario's outcome: exposure at each step, never a prediction.
Day 0: corn futures spike
timing not establishedLag basis: lag not established in sources reviewed
Livestock and poultry producers (feed costs)
timing not establishedLag basis: lag not established in sources reviewed
Tyson Foods
TSNCorn, soybean meal and other feed ingredients represented roughly 61% of the cost of growing a live chicken in fiscal 2023
Source: Tyson Foods FY2023 10-K
Pilgrim's Pride
PPCIts U.S. and Mexico segments use corn and soybean meal as the main ingredients for feed production; its Europe segment uses wheat, soybean meal and barley
Source: Pilgrim's Pride 10-Q (SEC)
Ethanol producers
timing not establishedLag basis: lag not established in sources reviewed
Green Plains
GPREVertically integrated ethanol producer that buys and sells bulk grain, primarily corn and soybeans, to make ethanol and co-products
Sweeteners and soft drinks
timing not establishedLag basis: lag not established in sources reviewed
Illustrative scenario. Not a prediction. Not financial advice. Company entries describe factual exposure to the commodity β not a view on any stock.
Who ships it, who canβt do without it
2024 vintage Β· annual data, 1β2y lagSourced trade structure β the scenarioβs shock geography at country resolution. Exposure, not a forecast.
Corn Β· United States
Top exporters
United Statesdominant
30.3% of world exports
Brazil
18.7% of world exports
Argentina
16.4% of world exports
Ukraine
13.1% of world exports
France
2.3% of world exports
Note: maize; seed 100510 excluded (negligible) Build used HS 100590 (maize excl. seed; 100510 seed excluded).
Exposed importers
Shocked exporters: United States
99.8% of Mexicoβs corn imports come from United States
83% of Japanβs corn imports come from United States
24.7% of South Koreaβs corn imports come from United States
US Gulf export system to Asia
via Panama Canal Β· 17% of US corn exports transiting the Panama Canal
Source: farmdoc daily (University of Illinois), 'Ripple effects of shipping lane disruptions on U.S. agriculture', FY2022
Exporter and importer shares are 2024 vintage Β· annual data, 1β2y lag from UN Comtrade and OEC (BACI/CEPII); an importer counts as exposed when β₯20% of its corn imports come from a shocked exporter. The shock geography is the scenarioβs own focus selection. Annual data with a 1β2 year reporting lag β the structure moves slowly, the prices donβt.
Historical check: The closest episode, US drought, 2012, saw corn futures move +22.3% (large band); your 80% disruption setting sits in the extreme band.
What share of United Statesβs corn exports is disrupted.
Resolution: Share of the focus exporter's shipments disrupted
United States corn β 30.3% of world Corn exports (Share of global export value (USD) β 2024 vintage)
Exposed under your assumptions: 24.2% (30.3% Γ 80% severity)
The hatched area is modeled from your assumptions, not a measured outcome.
Exposed β lost β affected trade can reroute, draw stocks, or substitute. This sizes the exposure, not the damage.
Historical check: The closest episode, US drought, 2012, lasted 122 days (medium); your 120-day duration sits in the medium band.
Resolution: Days the disruption lasts
Your assumption β not a measured buffer.
Resolution: Assumed days of stockpile cover β an assumption, not a measured buffer
60 days buyers can't ride out β not automatically a physical shortage
What this would have meant
At these settings, about 24.2% of the world's corn exports would be exposed to the disruption, and the disruption runs 120 days against 60 days of assumed stockpile cover, leaving about 60 days beyond what the assumed stockpile covers.
The closest recorded episode, US drought, 2012, saw corn futures rise +22.3% in 184 days (Feb 2012 β Aug 2012), and for consumers: grade A large eggs (US) rose +15.7% to +20.2% over 3β5 months. Illustrative β what happened then, not what will happen now.
Analog check
Your settings look closest to US drought, 2012 (same commodity, same shock type, similar duration, similar supply concentration). The episode's measured moves, caveats included: corn futures +22.3% in 184 days (Feb 2012 β Aug 2012); Grade A large eggs (US): +15.7% to +20.2% over 3β5 months. Egg prices also move with holiday baking demand each December, energy and transport costs, and layer-flock size β not feed corn alone..
Only about 11.8Β’ of every US consumer food dollar β and 18.5Β’ of every food-at-home dollar β reaches the farm (USDA, 2024) β that's a ceiling, not a prediction: margins can absorb a spike or amplify it.
Illustrative β what happened then, not what will happen now. Your scenario differs: your 80% disruption setting implies an extreme move, while the episode's futures move was +22.3% (large).
Read the full recordScore 4/5 β close analog (headline).
Want the full controls? Reopen corn on its commodity page.
For perspective, not prediction
2012: the US drought that took a quarter off the corn crop β then the market took it back
Jun β Sep 2012
βThe sharpest single-season corn shock on record sent CBOT corn futures up more than a fifth in six months β then a normal 2013 season erased the entire spike within a year. Weather moves the price; the next harvest moves it back.β
Price moves were observed around the event β not proof the event caused the entire move.
Read the full recordEl NiΓ±o: the climate driver that doesn't always deliver
Recurring β 2009-10, 2015-16, 2023-24
βEl NiΓ±o moves the weather, not always the price. In 2015β16 wheat fell sharply but tracked outcomes were mixed (rice +7.7%, soy +2.1%) while sugar spiked β fear the mechanism, measure the outcome.β
Price moves were observed around the event β not proof the event caused the entire move.
Read the full recordCurated by Morrowfly β these are things to check, not monitor conditions.
Your call, in your words β recorded privately on this device, with a check-back in 30, 60, or 90 days.
Spotted something wrong, confusing, or missing? It goes straight into our improvement queue.
Something off? Tell us.
Read by a human Β· never auto-published