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Home/Data/Study
Original AppPriceData study

How Much Do Paid App Store Prices Vary by Country? 2026 Snapshot

Across 1,912 mature paid apps with at least 20 recently checked storefronts and a US listing, the median gap between the lowest and highest reference-converted App Store price was 52.2%; the 90th percentile was 68.2%.

Observed
Jul 22, 2026 – Aug 21, 2026
Generated
Aug 21, 2026
Evidence query
study.paid-app-regional-price-spread.v1
Reproducible evidence

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.

  1. Start with paid Apple App Store apps that have stored current download prices and a US storefront observation.
  2. Keep only storefronts marked available and checked within the preceding 30 days, then require at least 20 comparable storefronts per app.
  3. 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).
  4. Exclude apps whose lowest reference-converted price is below USD 2 to reduce percentage distortion from very small price bases.
  5. For each remaining app, compute (highest reference price - lowest reference price) / lowest reference price, then calculate the cohort median, 75th, 90th and 95th percentiles.
  6. Select the app nearest each percentile only as a concrete, inspectable example; the percentile itself is calculated across the full 1,912-app cohort.
Evidence table

Observed results

Every row links back to the underlying AppPriceData evidence used in the study.

Download compact study CSVCitation-ready summary rows with the fixed observation window, evidence query ID, source tables, methodology and AppPriceData evidence URLs embedded in every export.
Cohort pointRepresentative appStorefrontsLowest USD referenceHighest USD referenceObserved spread (%)Evidence
Median · 52.2%10bii Financial Calculator295.568.4652.2Regional price evidence →
75th percentile · 64.6%3D Anatomy292.754.5364.6Regional price evidence →
90th percentile · 68.2%8mm Vintage Camera293.626.0968.2Regional price evidence →
95th percentile · 92.1%Due - Reminders & Timers295.6710.8992.1Regional price evidence →
Summary chart

Representative apps nearest cohort percentiles

Lowest-to-highest reference-converted price spread (%)

Median representative52.275th-percentile representative64.690th-percentile representative68.295th-percentile representative92.1
Limitations and corrections

What this study does not claim

  • Reference USD values are informational FX conversions, not checkout totals, taxes, card settlement amounts, or purchasing-power adjustments.
  • The USD 2 floor and >=20-storefront gate intentionally define a mature paid-app cohort; these results should not be generalized to every paid App Store listing.
  • Storefront availability was checked within a 30-day freshness window rather than at one simultaneous instant across every country.
  • Developers can change regional prices after the snapshot. The committed query and the PostgreSQL backup around the publication date are the reproducibility boundary for this study.
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