Russia 
In numbers.
May–Jul
Best months
822m
Elevation
The water at Zhigalan Waterfalls, month by month
It roars from May to June.
The fullest months: from May to June, with the snowmelt. The thinnest: from November to March. Below −4 °C on average (from November to April): the falls can partly freeze.
- 1%Jan
- 3%Feb
- 10%Mar
- 46%Apr
- 100%May
- 87%Jun
- 57%Jul
- 50%Aug
- 46%Sep
- 34%Oct
- 18%Nov
- 5%Dec
Best months to go, with plenty of water and pleasant days: from May to July.
Estimate from rain, snowmelt and evaporation month by month (NASA POWER, 1991–2020) around the falls. Dams upstream can change the real flow.
Zhigalan Waterfalls is a waterfall in Russia.
Getting there.
- Perm International Airport (PEE)nearest airport with scheduled flights · 294 km in a straight line
- From May to Julybest months to go (estimate)
Plan your visit
Stay, explore and get there
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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 179 m in 3.2 km. Here the river runs about 96 m below the lower rim of its valley.
What is around.
- —viewpoints
- —waymarked walking routes
- —car parks
- —swimming spots
- 1picnic sites
- —toilets
- —information boards and visitor centres
- —bus stops within 1 km
- 4other named waterfalls within 4 kmЖигаланские водопады and 3 more
- —caves
- 8campsites
- —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 | -17 | -15 | -8 | -2 | 8 | 14 | 17 | 14 | 7 | -2 | -10 | -15 |
| Night °C | -23 | -22 | -15 | -8 | -1 | 5 | 9 | 6 | 1 | -6 | -15 | -21 |
| Rain & snow (mm) | 44 | 37 | 61 | 75 | 107 | 140 | 116 | 133 | 112 | 92 | 66 | 48 |
| Wet days | 15 | 13 | 16 | 17 | 18 | 21 | 20 | 22 | 20 | 22 | 17 | 15 |
| Sun h/day | 1.6 | 3.6 | 4.3 | 5.4 | 7.4 | 7.1 | 7.9 | 5.2 | 2.7 | 1.0 | 0.6 | 0.6 |
| Snow on the ground (cm) | 64 | 73 | 82 | 62 | 10 | 1 | 0 | 0 | 4 | 16 | 32 | 49 |
Long-term averages 1991–2020 (NASA POWER) for a cell about 55 km wide, with temperatures carried to the height of the falls (822 m) at −6.5 °C per 1,000 m. Not a forecast.
Photos
Through visitors' eyes.
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 | 130% | 166% | 110% | 162% | 88% | 62% | 64% | 154% | 114% | 80% | 59% | 110% |
| 2021 | 116% | 152% | 62% | 90% | 147% | 43% | 163% | 54% | 114% | 79% | 143% | 166% |
| 2022 | 101% | 114% | 72% | 119% | 135% | 89% | 96% | 63% | 86% | 91% | 68% | 111% |
| 2023 | 90% | 88% | 144% | 80% | 59% | 60% | 149% | 65% | 34% | 102% | 118% | 92% |
| 2024 | 115% | 99% | 107% | 108% | 94% | 98% | 77% | 111% | 34% | 42% | 138% | 124% |
| 2025 | 164% | 119% | 56% | 192% | 136% | 68% | 73% | 77% | 69% | 61% | 135% | 138% |
130% wetter than usual 70% drier than usual
About these numbers
| Names, height, width, river | Wikidata (Q47548915) · 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.
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