This is a simulation tool, not a forecast. Understand the assumptions, methodology, data sources, and known limitations before using any numbers.
All figures represent a theoretical ceiling under the stated assumptions. They are not predictions of future retail prices. Actual consumer impact depends on government policy, market competition, supply chain resilience, and retailer pricing strategies, none of which are modeled here. Use these estimates as a starting point for understanding exposure, not as actionable financial guidance.
EstimatedImpactCeiling =
PassThrough
× Σ( FactorChange[i]
× ExposureCoefficient[cat, factor]
× FXImportAdjustment[country, factor]
× LagAdjustment[profile] )Where PassThrough = 1.0 (100% ceiling), FactorChange is the observed percentage change in an upstream commodity, ExposureCoefficient maps each consumer category to its upstream drivers, FXImportAdjustment amplifies for currency depreciation and import dependency, and LagAdjustment weights the shock over the appropriate time horizon.
Every estimate assumes that 100% of upstream cost changes flow through to the consumer. This is deliberately an upper bound. In reality, governments subsidize, retailers absorb margins, and supply chains adapt. The ceiling tells you the worst-case scenario, not the most likely one.
Each consumer category (bread, fuel, cooking oil, etc.) is mapped to a set of upstream factors (wheat price, crude oil, fertilizer, freight). The exposure coefficient for each category-factor pair reflects how much of the final product cost is attributable to that input.
For import-dependent countries, currency depreciation amplifies the local-currency cost of dollar-denominated commodities. The FX adjustment multiplies the commodity price change by the degree of depreciation.
Price shocks do not hit consumers instantly. The model supports four lag profiles: Immediate (fuel), 3-month (perishables), 6-month (processed foods), and 12-month (staples with strategic reserves).
The model operates at the country level, not the city or province level. Within-country variation (urban vs rural) is not captured. We chose this because macro inputs are most reliably available at country granularity.
The model does not account for government price controls, subsidy programs, speculative hoarding, supply chain disruptions beyond commodity costs, or local market competition dynamics.
Oil consumption data for 164 countries (public domain). Brent crude + jet fuel spot prices. Natural gas benchmarks.
Global commodity price indices (Pink Sheet), exchange rate data, GDP deflators, and import dependency ratios.
World Economic Outlook data for GDP growth, inflation baselines, and current account balances.
Food balance sheets for production and import dependency. FAOSTAT trade matrices. Food Price Index.
Consumer price index data from 10 national statistics agencies. Used for validation, not as model inputs.
Global news monitoring for fuel crisis, aviation disruption, and rationing headlines. 7-day digest on the flight alerts page.
Coverage status indicates the completeness of macro factor data, exposure coefficients, and validation data.
In countries with stable exchange rates, the model ceiling consistently exceeds realized prices by 20-50%, which is the expected behavior for a 100% pass-through upper bound.
| Country | Category | Model Ceiling | Realized | Gap | Status |
|---|---|---|---|---|---|
| 🇵🇭PHL | Bread | 18.4% | 12.1% | +6.3pp | Ceiling held |
| 🇪🇬EGY | Oil | 52.1% | 47.8% | +4.3pp | Ceiling held |
| 🇮🇳IND | Veg | 9.7% | 8.1% | +1.6pp | Ceiling held |
| 🇧🇷BRA | Fuel | 11.2% | 6.4% | +4.8pp | Ceiling held |
| 🇹🇷TUR | Bread | 24.1% | 68.2% | -44.1pp | Undershot |
| 🇳🇬NGA | Oil | 38.6% | 44.1% | -5.5pp | Undershot |
| 🇵🇰PAK | Dairy | 19.3% | 31.8% | -12.5pp | Undershot |
| 🇯🇵JPN | Fuel | 8.2% | 5.8% | +2.4pp | Ceiling held |
| 🇰🇷KOR | Fuel | 9.1% | 6.2% | +2.9pp | Ceiling held |
| 🇱🇧LBN | Basket | 28.8% | 34.2% | -5.4pp | Undershot |
The model systematically underestimates impacts in three countries:
Understanding war's impact on prices
How upstream commodity shocks translate into consumer prices, and why 100% pass-through is a ceiling, not a forecast.
EconomicsThe transmission channels from conflict to your grocery bill: supply disruption, shipping, energy, fertilizer, and currency.
EconomicsWhat drives sudden spikes in oil, wheat, and gas — and why some countries feel them more than others.
MethodologyWhy price shocks take 3-12 months to hit consumers, and how supply chain length determines the delay.
MethodologyHow currency depreciation amplifies commodity price shocks for import-dependent economies.