Akinomiya Onsen
秋ノ宮温泉 · Akita
Akinomiya Onsen (秋ノ宮温泉) is a nationally designated onsen town in Akita. 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 | 392 cm |
| Rank | 7 of 77 ranked onsen |
| Within prefecture | 1 of 3 in Akita |
| Against the median of 77 | +273 cm median 119 cm |
| Season to season | 36 cm 378–414 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
At the very southern tip of Akita, along the Yakunai river below Mount Kurikoma. The springs are said to have been found in the Nara period, which would make this the oldest hot spring district in Akita. It was busy with people taking cures through the Edo period.
The name has an odd origin. When the modern municipal system came in in 1889, the district sat on the route between Akita and Miyagi prefectures — so the first character of each was taken, and it became Aki-no-miya.
Taka-no-yu, known for its open-air bath, takes its name from a story about a wounded hawk that healed itself in the water. Inazumi, another of the inns, is associated with the novelist Mushanokoji Saneatsu. About ten inns remain.
Sources: 環境省 秋ノ宮温泉 国民保養温泉地計画書 · あきた元気ムラ（秋田県）
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 |
|---|---|---|
| Tengamori Ski Area | 19 km | 242 of 395 |
| Inakawa Ski Area Suberotta | 20 km | 332 of 395 |
| Green Valley Kamuro Ski Area | 20 km | 310 of 395 |
| Jeunesse Kurikoma Ski Area | 21 km | 177 of 395 |
| Onikobe Ski Area | 23 km | 196 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.