How to read this list
Rank
Position in the Top 100, sorted by audience size from largest to smallest. Updated weekly.
Audience size
Estimated number of unique people in South Korea who actively engage with this audience, derived from anonymized search-behavior signals.
Country share
Share of the global audience that is active in South Korea. A higher value means the audience is more locally concentrated here.
Avg age
Average age in years across the people who engage with this audience in South Korea, derived from anonymized search-behavior signals. A dash means demographic data is not yet available.
Female share
Share of women among the people who engage with this audience in South Korea. 50% is gender-balanced; values above mean female-skewed, below mean male-skewed.
Ranking
| Rank | Audience | Audience size | Country share | Avg age | Female share | Subtype |
|---|---|---|---|---|---|---|
| 1 |  Skiddaw |
163k | 4.4% | 48.8 | 69.9% | Mountain |
| 2 |  Alps |
126k | 0.4% | 35.9 | 55.1% | Mountain |
| 3 |  Fansipan |
118k | 1.9% | 29.7 | 52.7% | Mountain |
| 4 |  Annamite Range |
118k | 1.7% | 29.7 | 52.6% | Mountain |
| 5 |  Mount Fuji |
115k | 1.0% | 31.8 | 62.0% | Mountain |
| 6 |  Mont Blanc |
98k | 0.6% | 29.5 | 49.7% | Mountain |
| 7 |  Arashiyama |
88k | 12.7% | 45.6 | 66.0% | Mountain |
| 8 |  Mount Everest |
88k | 0.5% | 33.4 | 47.8% | Mountain |
| 9 |  Rocky Mountains |
38k | 0.2% | 38.2 | 46.6% | Mountain |
| 10 |  Swiss Alps |
30k | 0.5% | 36.5 | 56.9% | Mountain |
| 11 |  Toppik |
30k | 11.8% | 36.6 | 49.8% | Mountain |
| 12 |  Blue Mountains Australia |
24k | 11.0% | 33.2 | 85.7% | Mountain |
| 13 |  Great Smoky Mountains |
14k | 0.1% | 40.4 | 58.1% | Mountain |
| 14 |  Mount Etna |
10k | 0.2% | 36.5 | 74.4% | Mountain |
| 15 |  Matterhorn |
10k | 0.7% | 41.1 | 27.5% | Mountain |
| 16 |  Mount Kilimanjaro |
8.8k | 0.3% | 42.0 | 57.3% | Mountain |
| 17 |  Victoria Peak |
8.5k | 1.2% | 38.2 | 60.6% | Mountain |
| 18 |  Appalachian Mountains |
7.6k | 0.1% | 36.8 | 35.7% | Mountain |
| 19 |  Blue Ridge Mountains |
6.9k | 0.1% | 30.6 | 47.0% | Mountain |
| 20 |  Mount Rainier |
6.4k | 0.6% | 44.1 | 62.8% | Mountain |
| 21 |  Pyrenees |
5.7k | 0.1% | 46.7 | 51.6% | Mountain |
| 22 |  Aoraki / Mount Cook |
4.7k | 1.2% | 46.1 | 61.5% | Mountain |
| 23 |  Zugspitze |
3.8k | 0.4% | 43.9 | 50.9% | Mountain |
| 24 |  Mauna Kea |
3.7k | 0.8% | 37.5 | 67.4% | Mountain |
| 25 |  Table Mountain |
3.6k | 0.2% | 29.7 | 64.5% | Mountain |
Want the full picture for any of these audiences?
Open any profile to see psychographics, top regions, peer affinities and demographic splits — all derived from the same anonymized signals.
Frequently asked questions
How is this Top 100 list compiled?
Rascasse aggregates anonymized search-behavior signals across South Korea and ranks each mountain by its estimated audience size. Only entries with at least 5 measured entities are listed.
How often is the list updated?
The ranking is refreshed weekly from the latest search-behavior data and re-published as a static page.
What is the largest mountain in South Korea?
Skiddaw currently leads with an estimated audience of 163k people in South Korea.