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Olduvai-Schlucht Mike Krüger 110126 1

Tanzania Tanzania Gorge

Olduvai Gorge

236 m of rock, cut by the Oldupai River.

See the cutWhen to go

Mike Krüger · CC BY-SA 4.0

The cut

236 metres, to scale.

A slice through Olduvai Gorge where it is deepest and narrowest, measured on the Copernicus relief model every 30 m. Same scale as the landmark standing on the floor.

1,740 m1,622 m236 m24 km rim to rim5.0 kmvertical scale × 3.01,740 m1,622 m236 m24 km rim to rim5.0 kmvertical scale × 3.0

Standing on the floor, to scale: Great Pyramid · 139 m

Depth is measured to the lower rim; the width is from rim to rim. A 30 m relief model smooths the narrowest walls, so a slot canyon reads shallower than it is. On one side the ground was still rising 12 km out: the true rim is further away and the canyon deeper.

236m

Depth

measured on the 30 m relief model

24.0km

Rim to rim

measured on the 30 m relief model

13°

Steepest wall

average over 300 m, from the relief

1,386m

Floor altitude

Rim to floor

2 °C warmer at the bottom.

In October the afternoon reaches 29 °C on the floor, against 26 °C on the rim. The best months to hike are from June to August. The wettest months are from March to April and from November to January.

rim · 1,740 mfloor · 1,386 m
  1. 27°24°Jan
  2. 27°25°Feb
  3. 27°24°Mar
  4. 26°23°Apr
  5. 24°22°May
  6. 24°22°Jun
  7. 25°22°Jul
  8. 26°24°Aug
  9. 28°26°Sep
  10. 29°26°Oct
  11. 27°25°Nov
  12. 26°24°Dec
Hike: Jun–AugWettest: Mar–Apr, Nov–Jan

Afternoon highs, 1991–2020 averages (NASA POWER) brought to the altitude of the rim and of the floor with the standard lapse rate (6.5 °C per 1 000 m). Shade, wind and rock change this on the day. Not a forecast.

Archaeological site in Tanzania

Olduvai Gorge is a gorge in Tanzania, cut by the Oldupai River. The relief model measures 236 m from the floor to the lower rim, and 355 m to the higher one. Rim to rim it is 24 km wide where the cut was taken.

Read more on Wikipedia

Getting there.

Plan the visit

Guided hikes, a bed nearby, a car.

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.

The river

The Oldupai River runs highest in April and from December to January.

The Oldupai River carries about 3.8 m³/s on average here. It runs highest in April and from December to January. It is lowest from July to October.

  1. 9.9 m³/sJan
  2. 7.5 m³/sFeb
  3. 9.0 m³/sMar
  4. 12 m³/sApr
  5. 8.7 m³/sMay
  6. 3.7 m³/sJun
  7. 1.2 m³/sJul
  8. 0.7 m³/sAug
  9. 0.8 m³/sSep
  10. 2.9 m³/sOct
  11. 8.3 m³/sNov
  12. 10 m³/sDec

From about 0.73 m³/s in the lowest month to 12 m³/s in the highest. Its basin above this point covers 2,442 km².

Estimate: long-term flow from the HydroATLAS model (WaterGAP, 1971–2000) shaped by the monthly rain, snow and temperature of the area (NASA POWER). Dams change it. Not a forecast.

From the sky.

The canyon from above, with the relief shaded, the line of the cut, the river and what people have mapped around it.

Olduvai Gorge seen from above (Sentinel-2) N 6 km

Sentinel-2 cloudless 2016 (EOX, CC BY 4.0), 24 × 24 km, north up. The line is the cut above. Points © OpenStreetMap contributors.

Around the canyon.

  • 1viewpoints within 5 kmOlduvai Gorge
  • 1car parks within 3 km
  • 1hotels and guesthouses within 8 kmOlduvai Camp
  • marked hiking routes within 4 km
  • via ferrata routes within 4 km
  • climbing crags within 3 km
  • footbridges and suspension bridges within 3 km
  • rafting, canoe, kayak or canyoning spots within 4 km
  • swimming spots within 3 km
  • named waterfalls within 4 km
  • caves within 3 km
  • information boards and visitor centres within 4 km
  • bus stops within 2 km
  • campsites within 8 km
  • restaurants and cafés within 4 km

Counted in OpenStreetMap, the map anyone can edit, around the floor of the canyon. A low number may just mean nobody has mapped it yet. © OpenStreetMap contributors (ODbL).

Month by month

The weather, at the floor and at the rim.

JanFebMarAprMayJunJulAugSepOctNovDec
Afternoon · floor272727262424252628292726
Afternoon · rim242524232222222426262524
Night · rim141415141312111112141514
Rain (mm)14310115319095185131979167151
Rainy days1513162217412391820
Sun hours/day8.79.28.88.28.48.38.78.78.99.08.48.4
Afternoon · floorAfternoon · rimNight · rimRain (mm)Sun hours/day
Jan2724141438.7
Feb2725141019.2
Mar2724151538.8
Apr2623141908.2
May242213958.4
Jun242212188.3
Jul25221158.7
Aug262411138.7
Sep282612198.9
Oct292614799.0
Nov2725151678.4
Dec2624141518.4

Averages 1991–2020 (NASA POWER) for a cell about 55 km wide, brought to the floor (1,386 m) and the rim (1,740 m) with the standard lapse rate. Not a forecast.

Photographs

Seen from the trail.

Olduvai 2012 05 31 2820 (7522639854)
Harvey Barrison from Massapequa, NY, USA · CC BY-SA 2.0
Olduvai ast
Unknown author · Public domain
Oldupai-3
Vinny Burgoo · CC BY 3.0

Recent years

Wet years, dry years.

Rain of each month as a share of the 1991–2020 average. A dry year means a lower river and hotter rock; a wet one, more water in the gorge.

JanFebMarAprMayJunJulAugSepOctNovDec
2020260%178%283%222%78%303%148%58%265%55%404%104%
2021180%241%141%159%137%15%148%49%76%47%33%513%
2022128%258%68%59%47%297%5,784%1,247%513%7%50%139%
202387%100%113%149%136%402%74%5,539%154%171%468%95%
2024330%226%91%200%116%147%502%31%44%24%125%144%
202597%63%150%165%176%142%12,610%342%24%54%24%183%

130% or more: wet month 70% or less: dry month

Where these figures come from

Name, type, published depth and lengthWikidata (Q217043) · CC0
The cut: depth, width, wall and 3D modelCopernicus DEM GLO-30 · © DLR e.V., © Airbus Defence and Space GmbH, Copernicus/ESA
River flow and basinHydroATLAS / RiverATLAS v1.0 (Linke et al. 2019) · CC BY 4.0
ClimateNASA POWER, 1991–2020
Viewpoints, trails, bridges and the river line© OpenStreetMap contributors · ODbL
ImagesEOX 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.

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