Korean pop culture, in numbers

Industry

A Korean title loses half its readers in two months. Most of them come back at least once

Twenty-six Korean titles could be timed from their peak across four Southeast Asian Wikipedias. The median fell below half in two months, nine of them in a single month, and nineteen later rose above half again.

The last piece ended in a wall. We wanted to know whether a Korean hit leaves the floor higher than it found it, and for most titles that question cannot be asked: the encyclopaedia article is created when the title arrives, so there is no before to compare against.

There is a version of the question that needs no before. After the peak, how long until half of it is gone?

Of the 59 titles we hold, 26 have a peak thick enough to time and at least six months of watching afterwards. Their median half-life is two months.

How long half of it lasts

Title Peak Peak reads Half-life
Queen of Tears 2024-04 2550.5 1 month
Squid Game 2021-10 2440 1 month
All of Us Are Dead 2022-02 1267.6 1 month
A Killer Paradox 2024-02 539.6 1 month
Alchemy of Souls 2023-01 508.4 1 month
Parasite 2020-09 443.7 1 month
Exhuma 2024-05 279.8 1 month
The Atypical Family 2024-06 185.8 1 month
The Roundup 2024-05 53.5 1 month
Crash Landing on You 2021-08 604.6 2 months
Little Women 2022-09 470.7 2 months
Train to Busan 2020-08 387 2 months
Kingdom 2025-02 199.6 2 months
The Handmaiden 2022-09 172 2 months
Marry My Husband 2025-07 150.3 2 months
Hospital Playlist 2021-07 478.2 3 months
Lovely Runner 2024-06 379.3 3 months
Reply 1988 2021-08 267 3 months
Start-Up 2021-10 208.5 3 months
My Name 2024-01 79 3 months
Vincenzo 2021-06 771.7 4 months
Hotel del Luna 2021-11 113.8 4 months
Itaewon Class 2022-10 181 5 months
My Mister 2021-06 68.6 5 months
Goblin 2021-10 279 7 months
Descendants of the Sun 2025-04 202 7 months

Reads are per million reads of that Wikipedia, summed across the Indonesian, Vietnamese, Thai and Malay editions.

Nine titles lost half their readers in a single month. One, Big Mouth, has been watched for 26 months and has not fallen below half — the only one of the 26 that has held.

The biggest peaks are in the top rows. Queen of Tears and Squid Game are the two largest waves in the dataset and both are gone by half within thirty days. Goblin, at a tenth of Squid Game’s height, took seven months. Whatever makes attention last, it is not size.

We report the median rather than the mean. The mean is 2.6 months, which is longer than fifteen of the twenty-six titles actually lasted.

A half-life is not an ending

Nineteen of the twenty-six later rose back above half their peak.

The eight that came back most often:

Title Half-life Returns First return
The Handmaiden 2 3 months after peak
Hotel del Luna 4 5 months after peak
Itaewon Class 5 6 months after peak
Reply 1988 3 5 months after peak
My Name 3 9 months after peak
Goblin 7 8 months after peak
Parasite 1 5 months after peak
Train to Busan 2 4 months after peak

Squid Game is not on that list. It came back once, thirty-nine months after its peak, which was season two. That is the shape a release schedule makes: one return, on a long delay, when something new attaches to the name.

The eight above do not have that shape. The Handmaiden came back seven separate times, the first only three months after its peak, with nothing new attached to it. Neither does Hotel del Luna at six, or Itaewon Class at five.

The half-life counts the first fall, not the last. Read together, the two tables describe something other than a wave receding. They describe a wave that recurs: briefly, repeatedly, and mostly not on any schedule a release calendar would predict.

The thirty-three we could not time

Why not How many
The peak was too thin for halving to mean anything 14
Not enough months across the four editions 11
Only a few months follow the peak — unknown, not slow 7

The last row deserves care. Seven titles peaked too recently to have fallen below half yet. That is not endurance; it is the calendar. Putting them in the table above would have pulled the median up for no reason at all.

What this cannot tell you

Monthly data puts a floor under every figure here. A title that lost half its readers in ten days and one that took thirty both read as one month. The short end of that table is shorter than it looks.

The titles were chosen as ones we expected to have had a wave, not the most-read Korean titles and not a random sample. A set chosen that way leans toward titles that travelled far enough to have a peak worth measuring at all.

A read is not a viewer. Someone opening an encyclopaedia article may have watched the show, may be deciding whether to, or may have seen the name somewhere and been curious.

And we cannot tell you why Goblin held for seven months while Queen of Tears halved in one. We can tell you it was not the size of the wave.

The full tables, including every title we could not time and why, are on half-life.

Where these numbers come from

Sources

  • Wikimedia — Pageviews API, Indonesian, Vietnamese, Thai and Malay editions, monthly, August 2020 to June 2026

The data behind this

Written from the same data

If you work in this business

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 /half-life and /wave-and-floor.

What a company sheet contains, and what it cannot tell you →

← All 93 articlesFront page