Ginzan Onsen
銀山温泉 · Yamagata
Ginzan Onsen (銀山温泉) is a nationally designated onsen town in Yamagata. We measured how much snow its winters bring, using the same method as for the 3,108 ski areas on this site.
Snowfall in winter
| Per season | 388 cm |
| Rank | 8 of 77 ranked onsen |
| Within prefecture | 3 of 8 in Yamagata |
| Against the median of 77 | +269 cm median 119 cm |
| Season to season | 77 cm 361–438 cm across three winters |
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We do not link to an official site. We have not verified URLs for all 79 towns, and guessing would send you somewhere wrong. They will be added once checked.
How this place came to be
The name means silver mountain, and that is literally what this was. The Nozawa silver mine was one of Japan's largest in the early 1600s, and the spring began as the bath the miners used. When the silver ran out and the miners left, the people who stayed made their living from the water.
In 1913 the Ginzan river flooded and destroyed nearly every inn. Then in 1926 a borehole struck hot water in quantity — and the inns rebuilt all at once, in the same year. Three and four storeys, wooden, with Western detailing, facing each other across the river. Ginzan looks like nowhere else in Japan because it was built in a single moment and never rebuilt again.
A townscape preservation ordinance has protected it since 1986.
Sources: 銀山温泉 公式サイト「歴史と温泉」
Ski areas nearby
Up to five within 40 km, straight-line, nearest first. Quality rank is out of the 395 Japanese ski areas.
| Ski area | Distance | Quality rank |
|---|---|---|
| Hanagasa Kogen Ski Area | 5 km | 206 of 395 |
| Kurobushi Kogen Snow Park Jangle Jungle | 16 km | 95 of 395 |
| Yakurai Garden Ski Area | 17 km | 374 of 395 |
| Uenono Ski Area | 25 km | 369 of 395 |
| Spring Valley Izumi Kogen | 25 km | 312 of 395 |
About these snowfall figures
The snowfall shown here is an estimate produced by a weather model, not a record of what actually fell.
We compared it against 63 Japan Meteorological Agency weather stations to see how far off it is. On average it comes to about six tenths of the real figure — it runs low. And it runs low by different amounts in different places: some read barely a third of what was measured, others match almost exactly. Mountains tend to read lowest.
We tried scaling everything up by a fixed amount to correct for it. It barely helped, because the error differs from place to place.
So treat these numbers as a guide to roughly where somewhere sits, not a precise figure. There is no meaning in the gap between first and second, or between 30th and 35th. Large differences between regions are real and can be read as they are.
We are working on replacing these estimates with observed values.