Apple has no global chart: what I found by sampling paid rankings across 51 markets

Try a small experiment: open the App Store charts and look at the paid top ten.

What you see is not "the world's best-selling apps" — it is your country's chart, right now. Switch to a Japanese account and the top ten mostly changes; switch to a US account and it changes again.

Apple's own data source (the Marketing Tools feed) is organized by storefront: the US, Japan, and Taiwan each carry their own chart, and they are not localized translations of one ranking — they are independent rankings. **A global chart simply does not exist.**

Most chart-tracking sites respond by weight-averaging local positions into a "global rank". That number looks convincing, and it ignores storefront size differences, availability differences, and one fundamental problem: Apple publishes no download data, so every weighting is a guess.

So I did the opposite: no invented global chart — honest counting instead.

Method: count presence, not rank

Four steps, fully reproducible:

One — collect each of 51 storefronts' paid Top 100 (Apple's official RSS feed; anyone can fetch it).

Two — merge the same product across markets by Apple App ID.

Three — add one for every storefront where the product appears. This is cross-market presence.

Four — average positions only across the storefronts where the product actually appears; absent markets contribute nothing.

Every storefront counts as exactly one — no weighting by population, iPhone installed base, or store revenue. Not because those factors are unimportant, but because every such weight requires data Apple does not publish. A cleanly defined count beats a falsely precise global rank built on guessed weights.

Why average rank misleads

A thought experiment: product A ranks #1 in the United States and nowhere else; product B ranks #90 in 30 markets.

Which is more "successful"? By average rank, A scores 1 and B scores 90 — a landslide for A. But B holds paying users in thirty countries simultaneously, while A may have ridden one marketing spike in one market.

The answer depends on whether the question is sales, reach, or distribution — and a "global #X" flattens all three questions into one number that answers none of them. That is why I only count presence: it answers a smaller question, honestly.

Three things visible in the snapshot

First: free and paid charts are different species. Free charts are dominated by platform giants — ChatGPT, Gemini, Threads, Google Maps, CapCut, Telegram — with near-identical front rows everywhere. Paid charts are another world: buy-once professional tools, with far larger differences between countries. For observing the indie ecosystem, the paid chart carries far more signal per row.

Second: cross-market small products are more common than you would guess. The stars of the snapshot are not the giants but cases like these:

All three are buy-once products from tiny teams (some solo), present on the paid charts of more than half the sampled markets at once. None of them tops any single market — but being alive everywhere is a rarer achievement than a single-market peak: it means the product's value does not depend on any one region's marketing cycle.

Third: the number 2,190 itself. If 51 markets had identical taste, the deduped count would approach 100; if entirely different, 5,100. Landing at 2,190 means roughly half of all chart rows are held by cross-market products and half by local picks — globalization and localization split the paid charts about evenly.

What this number cannot claim

Honest measurement declares its boundaries. Cross-market presence cannot see:

One — free, subscription, and in-app-purchase products (only the paid chart is sampled). Two — products that shine only in category charts (only the overall chart is sampled). Three — Android, Steam, and web products. Four — stable products living just outside the Top 100. Five — small timing skews within one collection run (storefronts do not refresh simultaneously).

One sentence: **read it as radar, not as a financial statement**. It is good for spotting small products that appear in many places, comparing the shape of one product's market footprint, and tracking snapshots over time. It cannot tell you who earned the most.

What this means in practice for indie developers

If you ship your own product, two actionable corollaries:

One — stop watching only your home chart. Your product may be charting in markets you never look at: demand for buy-once tools is global, and the bar for entering a small market's Top 100 is far lower. Apple's RSS feed is public — a weekly script that scans which storefronts carry your App ID costs almost nothing.

Two — cross-market distribution is a moat signal. A product with paying users in 27 markets at once withstands algorithm and marketing swings far better than one that spiked to top ten in a single market. For global buy-once tools, it is one of the north-star metrics worth tracking.