Data Study · Original research

The Population-Adjusted Charts

Which countries punch above their weight in the App Store's charts, once you divide by how many people actually live there?

Original research by AppWanderer, computed from a sample of 3,339 public App Store listings drawn from our index — every figure here is calculated, never estimated. See our editorial standards and glossary.

Summary

Sweden sits at the top of this dataset's population-adjusted chart presence, posting 26.9 unique apps per million residents. The United Arab Emirates isn't far behind at 24.1, and the Netherlands comes in next at 15.8. At the other end, India and China tie for last place with just 0.2 apps per million each, the weakest showing in the whole dataset, while the United States does a little better at 0.8. Compare any of these figures to the global benchmark of 0.64 apps per million (3,339 charting apps spread across a population of 5,251,098,645) and the pattern jumps out: a country's size and its chart presence are two different things entirely. Confuse them and you end up with a distorted sense of which markets actually punch above their weight per capita.

This study splits raw unique-app counts by country from those same numbers adjusted for population, then measures both against size buckets and the global rate. Once you divide by population, the raw rankings flip almost completely. Countries that look similar, or even dominant, by raw count, Russia, Japan, and Turkey all land in the 280s, turn out to be laggards once population enters the equation. Meanwhile, countries that barely show up in a raw-count ranking, Sweden and the UAE among them, turn out to be the most saturated markets once you divide by residents.

26.9
Sweden: apps charting per million residents (highest)
0.2
India and China: apps charting per million residents (lowest)
0.64
Global benchmark: apps charting per million people worldwide
9.0
Average density, mid-size countries (10M-100M population)

Sweden and the UAE Are Not Big Markets, They're Dense Ones

Sweden's rate of 26.9 apps charting per million residents just doesn't blend in with the pack. It's sitting more than 11 points clear of the Netherlands at 15.8, and it clears most of the rest of this list by double or more. The UAE, at 24.1, follows roughly the same script: both countries pair small populations with app markets that punch well above their weight, so even a modest number of charting apps turns into a per-capita rate that looks huge. Below that top three (26.9, 24.1, 15.8), things drop off fast, down to Australia at 10.2, then easing through Saudi Arabia (7.7), Canada (6.5), Spain (5.6), South Korea (5.5), Italy (4.8), France (4.1), the UK (4.0), and Thailand (3.7). That kind of cliff, followed by such a slow taper, suggests the Sweden, UAE, and Netherlands figures aren't just a quirk of having a small population. Each one points to the same thing: a relatively small number of residents paired with a digital market punching far above its size, which is something most other countries here simply can't claim. Anyone leaning on these charts to size up market opportunity should give Sweden and the UAE far more weight than their population alone would justify. Everyone lower down the list still clears the global rate of 0.64 by a comfortable margin, but none of them are operating in that same saturated space.

Figure 01 · Sweden and the UAE Are Not Big Markets, They're Dense OnesComputed from the live index

India and China Tie for Last, and the US Isn't Far Off

India and China both sit at 0.2 apps charting per million residents, the bottom of the whole dataset, and honestly that's mostly just math doing its thing. Both countries have such enormous populations that even a healthy raw count of charting apps gets diluted into a tiny per-capita number the moment you divide it out. The real surprise is the United States, the market most people assume leads everything, sitting at just 0.8, barely edging out Indonesia's 0.9 and trailing well behind Russia's 2.0 or Turkey's 3.3. Nigeria (1.1) and Brazil (1.3) land in that same group of large-population countries where, no matter how lively the raw app market looks, population size alone keeps the per-capita number low. Japan (2.3), the Philippines (2.4), and Vietnam (2.7) form a middle tier, ahead of the US but nowhere close to Sweden or the UAE. For this metric, population size is basically destiny. Rank countries by raw charting activity alone and India, China, and the US will always come across as more relevant per resident than they actually are, while smaller, denser markets end up looking less relevant than they deserve.

Figure 02 · India and China Tie for Last, and the US Isn't Far OffComputed from the live index

Raw Counts Barely Move, So the Population Adjustment Is Doing All the Work

Just eyeballing the raw totals, the picture barely shifts. Russia leads with 287 unique charting apps, which works out to 8.4% of the 3,401 apps in this cut. The Netherlands is right behind, off by a single app at 286 (8.4%), while Sweden, Saudi Arabia, and South Korea all bunch up at 285 (8.4% each). Germany and Japan are tied at 284 (8.4% each), Italy comes in at 283 (8.3%), Australia at 282 (8.3%), and Great Britain, France, and Turkey close out the group at 280 (8.2% each). That's twelve countries, and the whole range from top to bottom is just seven apps: 280 up to 287. Set that against the population-adjusted figures from the two sections above, which stretch from 26.9 down to 0.2, and the picture changes completely. That gap isn't about app counts at all; population size is what's really driving it. Russia's 287 looks like a clear lead in raw terms, but once you adjust for population its rate falls to 2.0. Japan's 284 and Sweden's 285 look almost identical in the raw numbers, yet adjust for population and Japan sits at 2.3 while Sweden jumps up to 26.9. It's hard to find a cleaner example anywhere in this dataset: raw chart counts tell you almost nothing about whether an app actually reaches people in a given country, and a ranking built purely on raw presence is really just a ranking of population size in disguise.

Figure 03 · Raw Counts Barely Move, So the Population Adjustment Is Doing All the WorkComputed from the live index

Mid-Size Countries Run More Than Six Times Denser Than Large Ones

Countries in the mid-size range, meaning populations between 10 million and 100 million, average 9.0 charting apps per million residents. Push past 100 million into the large-country bucket and that average drops to 1.4. The gap backs up something the country-by-country figures were already pointing to: once a population crosses into the hundreds of millions, there's a structural ceiling on how dense the per-capita chart presence can get, simply because the number of apps capable of charting doesn't scale alongside population. A country of 50 million and one of 500 million just aren't competing on the same terms. For the larger one to match the smaller one's rate, it would need ten times the charting apps. That's the real reason India, China, and the US land near the bottom of the per-capita rankings even though their absolute app usage is massive: falling into the Large bucket (over 100M) caps them at roughly a sixth of what the Mid bucket averages. Comparing Large-bucket countries to Mid-bucket countries on one shared per-capita scale misses the point entirely, since each bucket starts with a different ceiling.

Figure 04 · Mid-Size Countries Run More Than Six Times Denser Than Large OnesComputed from the live index

Most of the 'Winners' Are Still a Rounding Error Away From Most Humans

Add it all up across this study and you get 0.64 charting apps per million people, a figure built from 3,339 total charting apps spread across 5,251,098,645 people. That number is worth keeping in your back pocket when you look at either extreme in this analysis. Sweden's 26.9 and the UAE's 24.1 blow past it, no question, but both are small enough that their strong numbers barely nudge the global figure. India and China, on the other hand, sit at just 0.2, way under the 0.64 average, and their populations are big enough to drag the worldwide number down almost single handedly. That's really what the 0.64 benchmark is good for: cross above it and a country is producing more charting diversity per resident than the planet does on average; fall below it and population size is the real culprit. One thing worth remembering here: this study tracks unique app reach per person, not usage. A low number doesn't mean fewer users, it means fewer distinct apps are charting relative to the size of the population.

The bottom line

Population adjustment flips the entire charting conversation. Raw counts cluster tightly between 280 and 287 across twelve very different countries, but once you divide by residents the range explodes from Sweden's 26.9 down to India and China's 0.2. Large-population countries average just 1.4 apps per million against the Mid bucket's 9.0, a structural gap that no amount of raw app activity can close. The 0.64 global benchmark shows most of the world sits closer to the India/China end than the Sweden end. If you want to know where unique apps actually reach the population rather than just posting big absolute numbers, ignore the raw leaderboard and look at Sweden, the UAE, and the Netherlands instead.

Method & limitations

How this was made: this study is computed across 3,339 apps carrying the public App Store metadata it needs, drawn from our live index of 1,063,379 tracked apps, and is recomputed on a schedule. It is a large, representative sample of the store rather than every app in existence, and the figures shift over time as the store changes.

  • Public metadata only. These figures come from what apps publicly list in the App Store. Downloads, revenue, retention and in-app subscription pricing are not visible to us — we name them, and we never estimate them.
  • A large sample, not a census. The study runs across a representative slice of the store rather than every app in existence, so figures move as the store and our index change.
  • Recomputed, not frozen. Numbers are recalculated on a schedule; a figure quoted elsewhere may differ from the one shown here after the next rebuild.
  • No estimates or third-party numbers are used.

Common questions

Why does Sweden rank first when its raw app count (285) is lower than Russia's (287)?

Because this question is about density, not volume. Sweden's much smaller population means 285 charting apps translates to 26.9 per million residents, while Russia's 287 apps spread across a far larger population yields only 2.0 per million. Same ballpark of raw apps, completely different per-capita outcome.

Why do India, China, and the US all score so low despite being major app markets?

Population size overwhelms the calculation. India and China both post 0.2 apps charting per million and the US sits at 0.8, not because their app activity is weak but because their populations are so large that even a substantial raw count of charting apps gets diluted into a small per-capita rate.

What does the Mid versus Large population bucket comparison actually show?

Mid-size countries (10 million to 100 million people) average 9.0 charting apps per million residents, while Large countries (over 100 million) average only 1.4. That gap shows per-capita chart density has a structural ceiling tied to population size, not just market strength.

Is the global benchmark of 0.64 apps per million meaningful on its own?

Yes, it is the baseline against which every country figure should be read. It comes from 3,339 total charting apps across 5,251,098,645 people covered by the study. Countries like Sweden (26.9) and the UAE (24.1) sit far above it, while countries like India and China (0.2 each) sit below it and, due to their population size, drag the global average down.

Data & citation

Original data from AppWanderer. The figures are licensed CC BY 4.0: free to cite, quote and reuse, including the charts, with credit and a link back to this page.

AppWanderer. “The Population-Adjusted Charts.” https://appwanderer.com/studies/the-population-adjusted-charts (data updated 7 Oct 2026).

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Dor Bass
Author
Dor Bass

Builds and maintains the index behind AppWanderer. Writes the studies and sets the qualifying rules behind every ranking board.