How Russia–Ukraine War Affects Bread & Cereals Prices

🍞 Bread & Cereals prices could rise up to +41.3% in 🇪🇬 Egypt under a full pass-through scenario driven by Russia–Ukraine War (Feb 2022 – Present (ongoing)).

Scenario ceiling only. All figures show an upper-bound assuming 100% pass-through. Actual retail prices depend on competition, subsidies, logistics, and market structure.

Commodity shocks driving this scenario

🌾 Wheat +38%⚡ Natural Gas +220%🌱 Fertilizer +65%⚡ Brent +22%🪙 FX volatility High

Top 5 most affected countries

#1🇪🇬Egypt
+41.3%

High wheat import dependence (~62% imported), severe EGP devaluation (–49%), limited domestic grain production

#2🇹🇷Türkiye
+24.1%

Major grain importer from Black Sea region, TRY lost 28% vs USD, high energy import dependence

#3🇵🇰Pakistan
+21.7%

Relies on imported wheat and cooking oil, PKR fell 22% vs USD, energy subsidy fiscal pressure

#4🇳🇬Nigeria
+19.8%

Net food importer, parallel FX market premium widened, high fuel import dependence

#5🇵🇭Philippines
+18.4%

Imports ~60% of wheat, PHP depreciated 10%, exposure to global grain and energy benchmarks

Bottom 5 least affected countries

#6🇧🇷Brazil
+6.1%

Major commodity exporter (grains, oil), BRL stable, benefits from higher export prices

#7🇮🇩Indonesia
+7.3%

Subsidized fuel and food programs, IDR declined only 5%, palm oil export restrictions helped

#8🇲🇦Morocco
+8.3%

Diversified grain imports, MAD relatively stable (–9%), government subsidy programs active

#9🇮🇳India
+9.1%

Partially insulated by domestic production and export bans, modest INR depreciation (–10%)

#10🇺🇦Ukraine
+11.4%

Direct conflict zone, agricultural export disruption, UAH devalued 25% officially

Important caveats

  • All figures assume 100% pass-through of upstream cost changes. In practice, realized impacts are typically 55-75% of the ceiling.
  • Government subsidies, price controls, and strategic reserves can significantly reduce actual consumer impacts.
  • Rankings reflect structural vulnerability (import dependence, FX exposure) rather than real-time prices.
  • Within-country variation (urban vs rural, coastal vs inland) is not captured at this resolution.
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