Undercover took 48 places in our Korean panel. It is Belgian
Two works can carry the same English title, and a chart row does not say which one it is. Thirteen titles in our Korean panel turned out to be foreign works. The test that found them is not the name — it is where they charted.
The table this is written from: /provenance
A Netflix country chart gives you a title and a rank. It does not give you a work. If two productions carry the same English name, the row is the same either way, and any list built by matching title text will quietly collect both.
Ours did. Thirteen titles in our Korean panel were foreign works. The largest of them, Undercover, held 48 chart places across 24 countries. It is the Belgian series.
What gave them away
Not the name — the names are identical. Where they charted.
| Title | Places | Markets | Largest market | Its share |
|---|---|---|---|---|
| Breathless | 250 | 69 | Spain | 5.2% |
| Dangerous Liaisons | 165 | 70 | France | 2.4% |
| One More Time | 58 | 38 | Sweden | 5.2% |
| Undercover | 48 | 24 | Netherlands | 33.3% |
| UFO | 17 | 12 | Turkey | 29.4% |
Undercover never appeared on Korea’s own chart. Its heaviest markets are the Netherlands and Belgium, which is where a Flemish-language Netflix series would be heaviest. Nine of the thirteen charted in exactly one country, and in every case that country is the one Wikidata names as the origin of a same-titled foreign work.
The obvious test does not work
The first rule we tried was “if it never charts in Korea, it is not Korean.” It is wrong, and the size of the error is the point: 381 of our 975 Korean titles — 39.2% — never chart in Korea at all. A drama that airs on KBS or tvN is on Korean television, not on Netflix Korea, so it can travel to sixty countries without ever appearing at home. Applying that rule alone would have thrown out hundreds of genuine titles to catch 16 foreign ones.
So the test requires three things at once, and all three must hold:
- The title never charted in Korea.
- Wikidata attributes no Korean work at all to that name.
- The market where it charted most is one Wikidata names as the origin of a work with that name.
Condition 2 is what makes it safe. A name that a Korean work also carries is never removed, however foreign the chart pattern looks.
Two we could not settle
| Title | Places | Market | Why it stayed |
|---|---|---|---|
| Keys to the Heart | 3 | Philippines | A Korean film carries this name |
| Life Is Beautiful | 2 | Italy | A Korean film carries this name |
Both met conditions 1 and 3. Both failed condition 2, so both stayed in the panel. We do not know which work charted, and we would rather carry two uncertain rows than delete two of our own.
How large the error was
The 16 titles held 557 chart places out of 39,696, which is 1.4%. The largest single one, Breathless, held 250 of them. They were spread across 38 of the 93 markets, and the largest effect on anything we publish was that Malta left the top five of the markets that only take wide titles and Croatia entered it.
The share is small. That is not the reason to report it, and it is not a reason to have left it alone: a method that says “we match on title text” has to say what happens when title text is not unique, and until today ours did not.
What this cannot do
It needs a foreign work that Wikidata already knows about. A title with no entry anywhere is invisible to this test, and so is one where the foreign work exists but its country is unrecorded.
It also says nothing about titles inside the panel that are correctly Korean but whose chart rows belong to a second work of the same name in some weeks and not others. We can only accept or reject a title whole. Nothing in a rank table separates one row from another.
What changed on 3 September 2026
Our list of Korean titles had been frozen at 8 August. We rebuilt it, it went from 397 titles to 420, and one title we had been counting as Korean (Dangerous Liaisons, the 2022 French film) is not. 15 figures in this piece moved with it. None of them changed what the piece found. The ones a reader is most likely to have quoted:
| Was | Now | |
|---|---|---|
| Titles removed as not Korean | 13 | 16 |
| Chart places they had carried | 84 | 557 |
| Their share of our Korean total | 0.21% | 1.4% |
| Titles that never chart in Korea | 384 of 977 | 381 of 975 |
⚠ That last row moved twice today. When this section was first written the roster was 974 names; later the same day we added the chart week of 23 August 2026, one new title entered the panel, and re-querying Wikidata brought the roster to 975. The count that never charts in Korea stayed at 381 through both. We are recording the end of the day, not the middle of it.
Every table above is checked against the counted file on every build rather than trusted, and the build fails if a figure here and the file disagree. We print what moved rather than swapping it quietly: one wrong number makes the correct ones beside it worth doubting.
Where these numbers come from
Sources
- Netflix — Tudum weekly Top 10 country lists, 493,600 rows read, 2021-07-04 to 2026-07-26, 93 markets, Russia excluded · https://www.netflix.com/tudum/top10
- Wikidata — Country of origin and original language for every film and television series carrying each English title · https://query.wikidata.org
What we checked
- Absence from Korea's own chart was tested as a rule on its own and rejected, because 381 of 975 Korean titles never chart in Korea at all
- Every removed title was checked to have zero places on Korea's own chart, and the builder fails if any of them has one
- Two titles met the market test but were kept, because a Korean work genuinely shares their name and we cannot tell which one charted
- The removed places are reported as a share of the panel so the size of the error is visible rather than described
What we left out, and why
- Russia, excluded across this publication because Netflix withdrew and the remaining weeks are not comparable
- Any title where Wikidata knows no foreign work of that name, because then there is nothing to attribute the chart row to
The data behind this
Written from the same data
Take this away — 10 cards
The figures in this article, as images. Free to repost with the address on them.










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Everything on this page is measured from the same weekly Netflix lists, per market and per title. We publish the pages free; what we sell is the same measurement cut to one company's catalogue — including the figures behind /provenance.
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