
In numbers.
Jun–Sep
Best months
232m
Elevation
The water at Jinfeng Waterfall, month by month
It roars from August to September.
The fullest months: from August to September. The thinnest: from November to May.
- 4%Jan
- 3%Feb
- 3%Mar
- 5%Apr
- 25%May
- 57%Jun
- 67%Jul
- 100%Aug
- 77%Sep
- 36%Oct
- 13%Nov
- 5%Dec
Best months to go, with plenty of water and pleasant days: from June to September.
Estimate from rain, snowmelt and evaporation month by month (NASA POWER, 1991–2020) around the falls. Dams upstream can change the real flow.
Jinfeng Waterfall is a waterfall in Taiwan.
Getting there.
- Parking 300 m awaynearest car park in OpenStreetMap, straight line
- Taitung Airport (TTT)nearest airport with scheduled flights · 25 km in a straight lineCar hire in TaitungDiscover Cars · Affiliate link↗
- From June to Septemberbest months to go (estimate)
Plan your visit
Stay, explore and get there
Some links above are affiliate links: if you book through them we may earn a commission, at no extra cost to you. It never changes what the data on this page says.
Seen from the sky.
8 × 8 km of cloud-free satellite image, with what OpenStreetMap knows around the falls.
N
2 km
Sentinel-2 cloudless 2016 (EOX, CC BY 4.0), 8 × 8 km, north up. Points © OpenStreetMap contributors.
The line follows the river as mapped in OpenStreetMap; heights from the 30 m Copernicus model, which smooths narrow drops — the published height of the falls is the one above.
Around the falls the river drops 502 m in 2.3 km.
What is around.
- —viewpoints
- —waymarked walking routes
- 2car parks
- —swimming spots
- —picnic sites
- —toilets
- —information boards and visitor centres
- —bus stops within 1 km
- —other named waterfalls within 4 km
- —caves
- 1campsites崩壁旁河床
- —hotels, B&Bs and huts within 6 km
- —restaurants and cafés within 3 km
Counted in OpenStreetMap, the map anyone can edit, up to 2 km around the falls (unless noted). A low number may just mean nobody has mapped it yet. © OpenStreetMap contributors (ODbL).
Weather
The weather, month by month.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Afternoon °C | 23 | 24 | 26 | 28 | 30 | 29 | 30 | 29 | 29 | 28 | 27 | 24 |
| Night °C | 17 | 18 | 20 | 22 | 24 | 25 | 26 | 26 | 25 | 23 | 21 | 18 |
| Rain & snow (mm) | 33 | 27 | 37 | 56 | 183 | 303 | 287 | 436 | 240 | 76 | 53 | 34 |
| Wet days | 6 | 7 | 7 | 10 | 16 | 20 | 22 | 24 | 19 | 10 | 7 | 6 |
| Sun h/day | 5.2 | 5.6 | 5.3 | 5.5 | 6.0 | 6.6 | 7.2 | 5.7 | 6.1 | 6.3 | 5.6 | 5.0 |
Long-term averages 1991–2020 (NASA POWER) for a cell about 55 km wide, with temperatures carried to the height of the falls (232 m) at −6.5 °C per 1,000 m. Not a forecast.
Recent years
Wet years and dry years
Rain of each month as a share of the 1991–2020 average. A wet season above 100 % usually means a fuller waterfall.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020 | 94% | 133% | 151% | 86% | 191% | 30% | 53% | 109% | 41% | 91% | 227% | 178% |
| 2021 | 43% | 98% | 31% | 65% | 24% | 117% | 86% | 107% | 57% | 216% | 90% | 126% |
| 2022 | 226% | 254% | 149% | 52% | 139% | 46% | 50% | 41% | 29% | 116% | 135% | 88% |
| 2023 | 89% | 67% | 54% | 164% | 45% | 48% | 88% | 55% | 101% | 205% | 30% | 103% |
| 2024 | 67% | 63% | 82% | 204% | 66% | 43% | 117% | 35% | 73% | 318% | 156% | 102% |
| 2025 | 105% | 235% | 163% | 84% | 71% | 88% | 244% | 85% | 81% | 105% | 182% | 112% |
130% wetter than usual 70% drier than usual
Compare with the waterfalls nearby.
About these numbers
| Names, height, width, river | Wikidata (Q97441570) · CC0 |
|---|---|
| Climate | NASA POWER, 1991–2020 |
| Relief, river profile, 3D model | Copernicus DEM GLO-30 · © DLR e.V., © Airbus Defence and Space GmbH, Copernicus/ESA |
| Paths, viewpoints, parking | © OpenStreetMap contributors · ODbL |
| Images | EOX Sentinel-2 cloudless 2016 · CC BY 4.0; Wikimedia Commons |
Every figure is an average, an estimate or a count from a public dataset. Licences and methods: data sources.
The family
Do you prefer beaches, lakes, mountains, waterfalls, islands, rivers, canyons, caves or dark skies?
Same idea, other landscapes: field atlases built on open data, month by month, in seven languages.



