
In numbers.
Jan–Apr
Best months
362m
Elevation
The water at Sanje Falls, month by month
It roars from February to April.
The fullest months: from February to April. The thinnest: from June to November.
- 72%Jan
- 75%Feb
- 97%Mar
- 100%Apr
- 53%May
- 17%Jun
- 3%Jul
- 0%Aug
- 0%Sep
- 3%Oct
- 11%Nov
- 45%Dec
Best months to go, with plenty of water and pleasant days: from January to April.
Estimate from rain, snowmelt and evaporation month by month (NASA POWER, 1991–2020) around the falls. Dams upstream can change the real flow.
Waterfall in Tanzania
Sanje Falls is a waterfall in Tanzania.
Getting there.
- Kidatunearest town · 12 km in a straight line
- Dodoma Airport (DOD)nearest airport with scheduled flights · 220 km in a straight lineCar hire at DAR airport (Dar es Salaam)Discover Cars · Affiliate link↗
- From January to Aprilbest 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.
What is around.
- —viewpoints
- —waymarked walking routes
- —car parks
- —swimming spots
- —picnic sites
- —toilets
- —information boards and visitor centres
- —bus stops within 1 km
- 4other named waterfalls within 4 kmSanje Waterfall, Sanje, Sanje (1st) and 1 more
- —caves
- 2campsitesHondo Hondo Forest Camp, Mizimu campsite
- 2hotels, B&Bs and huts within 6 kmHosteli za compassion secondary school, Hostel za wasichana
- —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).
Towns nearby
- Kidatu12 km in a straight line
- Ruaha17 km in a straight line
- Kidodi24 km in a straight line
Weather
The weather, month by month.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Afternoon °C | 30 | 30 | 29 | 28 | 28 | 28 | 29 | 30 | 33 | 34 | 34 | 33 |
| Night °C | 22 | 22 | 22 | 21 | 19 | 18 | 18 | 18 | 20 | 21 | 22 | 22 |
| Rain & snow (mm) | 193 | 169 | 233 | 209 | 71 | 14 | 9 | 6 | 7 | 31 | 70 | 168 |
| Wet days | 23 | 22 | 26 | 26 | 13 | 3 | 2 | 2 | 2 | 5 | 12 | 21 |
| Sun h/day | 6.6 | 7.0 | 6.8 | 6.2 | 6.6 | 7.6 | 7.6 | 7.8 | 8.6 | 8.6 | 8.5 | 7.4 |
Long-term averages 1991–2020 (NASA POWER) for a cell about 55 km wide, with temperatures carried to the height of the falls (362 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 | 92% | 263% | 218% | 172% | 309% | 74% | 1,050% | 66% | 17% | 290% | 230% | 38% |
| 2021 | 49% | 90% | 58% | 62% | 184% | 33% | 1,798% | 2,895% | 74% | 48% | 26% | 29% |
| 2022 | 214% | 118% | 55% | 97% | 45% | 54% | 193% | 71% | 78% | 1% | 73% | 123% |
| 2023 | 35% | 41% | 62% | 121% | 377% | 259% | 56% | 129% | 43% | 68% | 144% | 55% |
| 2024 | 187% | 155% | 96% | 104% | 34% | 128% | 7% | 43% | 26% | 105% | 46% | 70% |
| 2025 | 101% | 42% | 107% | 118% | 106% | 133% | 31% | 57% | 26% | 32% | 98% | 47% |
130% wetter than usual 70% drier than usual
About these numbers
| Names, height, width, river | Wikidata (Q2221852) · 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 or canyons?
Same idea, other landscapes: field atlases built on open data, month by month, in seven languages.


