How this result was produced
This is a point-in-time distribution study of observed Apple App Store download prices, normalized only for comparison with the same dated FX snapshot used by AppPriceData's regional comparison pages.
- Query ID
study.paid-app-regional-price-spread.v1- Source tables
- apps, app_current_prices, app_storefront_metadata, exchange_rate_batches, exchange_rates
Build a mature paid-app cohort, convert current local App Store download prices through one dated EUR-base FX snapshot, calculate each app's lowest-to-highest reference spread, then report cohort percentiles and the nearest verifiable app at each percentile.
- Start with paid Apple App Store apps that have stored current download prices and a US storefront observation.
- Keep only storefronts marked available and checked within the preceding 30 days, then require at least 20 comparable storefronts per app.
- Convert local amounts into an informational USD reference using the latest stored EUR-base exchange-rate batch available at the snapshot time (rate date 2026-08-20).
- Exclude apps whose lowest reference-converted price is below USD 2 to reduce percentage distortion from very small price bases.
- For each remaining app, compute (highest reference price - lowest reference price) / lowest reference price, then calculate the cohort median, 75th, 90th and 95th percentiles.
- Select the app nearest each percentile only as a concrete, inspectable example; the percentile itself is calculated across the full 1,912-app cohort.