Kartik Chandramouli · CC BY-SA 3.0
The descent
The entrance, at 25 m.
The real relief above Mandapeshwar Caves, measured on the Copernicus model every 30 m, and the cave going down at the same vertical scale.
The depth is the one published by those who explored it; the shape of the galleries is a sketch, not a survey. No depth has been published for this cave yet.
25m
Entrance altitude
from the 30 m relief model
27°C
Inside, all year
the yearly average outside, at the entrance
Inside and outside
27 °C inside, all year.
Deep inside, a cave keeps the average temperature of the year outside: about 27 °C here, in January and in August. In April the afternoon reaches 39 °C at the entrance, 12 °C warmer than inside: take a jacket. The best months to escape the heat are all year round.
- 32°16°Jan
- 34°18°Feb
- 37°21°Mar
- 39°24°Apr
- 38°26°May
- 32°26°Jun
- 29°25°Jul
- 28°25°Aug
- 29°24°Sep
- 31°22°Oct
- 31°19°Nov
- 31°17°Dec
Outside: afternoon and night averages for 1991–2020 (NASA POWER) brought to the altitude of the entrance. Inside: the yearly average, which deep parts of a cave keep. Near the entrance it follows the weather a little.
Cave in Mumbai, India
Mandapeshwar Caves is a cave in India. The entrance is at 25 m.
Getting there.
- Wild cave: only with caving equipmentNo paths or lights inside. Go only with a caving club or a qualified guide.
- Borivlinearest town · 1.3 km in a straight line
- Gandhi Tekdinearest viewpoint · 2.9 km from the entrance
- Chhatrapati Shivaji Maharaj International Airport (BOM)nearest airport with scheduled flights · 17 km in a straight lineCar hire at BOM airport (Mumbai)Discover Cars · sponsored link↗
Plan the visit
Guided tours, 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.
From above.
The ground above the cave, with the relief shaded, the line of the section and what people have mapped around the entrance.
N
1.5 km
Sentinel-2 cloudless 2016 (EOX, CC BY 4.0), 6.0 × 6.0 km, north up. The line is the section above. Points © OpenStreetMap contributors.
Around the entrance.
- 1viewpoints within 3 kmGandhi Tekdi
- 4car parks within 2 km
- 26bus stops within 2 km
- 2campsites within 8 km
- 26hotels and guesthouses within 8 kmThe Resort, Anil Thakur Guest House, Rohan and 23 more
- 44restaurants and cafés within 3 km
- other cave entrances within 3 km
- springs within 2 km
- sinkholes within 3 km
- caving clubs and spots within 15 km
- marked hiking routes within 3 km
- climbing crags within 3 km
- named waterfalls within 4 km
- information boards and visitor centres within 3 km
Counted in OpenStreetMap, the map anyone can edit, around the entrance. A low number may just mean nobody has mapped it yet. © OpenStreetMap contributors (ODbL).
Towns nearby
- Borivli1.3 km in a straight line
- Bhayandar6.3 km in a straight line
- Gorai7.4 km in a straight line
- Thāne13 km in a straight line
- Chandrapada13 km in a straight line
- Powai15 km in a straight line
- Airoli18 km in a straight line
- Mumbai19 km in a straight line
In our other atlases
What else is around Mandapeshwar Caves.
The river at the entrance, the waterfalls, the lakes, the mountains and volcanoes above, the canyons, beaches and islands nearby — from our other atlases.
Figures from the sister sites' databases (Wikidata, HydroATLAS, GeoNames, NOAA, OpenStreetMap). Links open when each site is online.
Month by month
The weather outside, at the entrance.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Afternoon | 32 | 34 | 37 | 39 | 38 | 32 | 29 | 28 | 29 | 31 | 31 | 31 |
| Afternoon | 32 | 34 | 37 | 39 | 38 | 32 | 29 | 28 | 29 | 31 | 31 | 31 |
| Night | 16 | 18 | 21 | 24 | 26 | 26 | 25 | 25 | 24 | 22 | 19 | 17 |
| Rain (mm) | 0 | 2 | 5 | 3 | 22 | 535 | 834 | 606 | 376 | 104 | 17 | 5 |
| Rainy days | 0 | 0 | 0 | 0 | 3 | 22 | 29 | 28 | 23 | 11 | 3 | 1 |
| Sun hours/day | 8.8 | 9.6 | 10.2 | 10.8 | 10.6 | 4.9 | 1.3 | 1.5 | 4.4 | 7.6 | 8.4 | 8.4 |
| Afternoon | Afternoon | Night | Rain (mm) | Sun hours/day | |
|---|---|---|---|---|---|
| Jan | 32 | 32 | 16 | 0 | 8.8 |
| Feb | 34 | 34 | 18 | 2 | 9.6 |
| Mar | 37 | 37 | 21 | 5 | 10.2 |
| Apr | 39 | 39 | 24 | 3 | 10.8 |
| May | 38 | 38 | 26 | 22 | 10.6 |
| Jun | 32 | 32 | 26 | 535 | 4.9 |
| Jul | 29 | 29 | 25 | 834 | 1.3 |
| Aug | 28 | 28 | 25 | 606 | 1.5 |
| Sep | 29 | 29 | 24 | 376 | 4.4 |
| Oct | 31 | 31 | 22 | 104 | 7.6 |
| Nov | 31 | 31 | 19 | 17 | 8.4 |
| Dec | 31 | 31 | 17 | 5 | 8.4 |
Averages 1991–2020 (NASA POWER) for a cell about 55 km wide, brought to the altitude of the entrance (25 m) with the standard lapse rate. Not a forecast.
Photographs
Inside and around.
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.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020 | — | — | — | — | 34% | 87% | 93% | 199% | 97% | 173% | 4% | — |
| 2021 | — | — | — | — | 1,514% | 123% | 126% | 62% | 152% | 70% | 291% | — |
| 2022 | — | — | — | — | 39% | 63% | 150% | 95% | 139% | 181% | 4% | — |
| 2023 | — | — | — | — | 53% | 85% | 169% | 37% | 129% | 24% | 179% | — |
| 2024 | — | — | — | — | 183% | 78% | 163% | 104% | 128% | 187% | 4% | — |
| 2025 | — | — | — | — | 1,876% | 116% | 90% | 128% | 162% | 140% | 121% | — |
130% or more: wet month 70% or less: dry month
Where these figures come from
| Name, type, published depth and length, visitors | Wikidata (Q12444660) · CC0 |
|---|---|
| The relief above, the entrance altitude, the section and the 3D model | Copernicus DEM GLO-30 · © DLR e.V., © Airbus Defence and Space GmbH, Copernicus/ESA |
| Climate | NASA POWER, 1991–2020 |
| Entrances, springs, sinkholes, opening hours and what is around | © OpenStreetMap contributors · ODbL |
| Images | EOX Sentinel-2 cloudless 2016 · CC BY 4.0; Wikimedia Commons |
| Rivers, waterfalls, lakes, mountains, canyons, beaches and islands nearby | Coastya, Lakeyas, Peakyas, Cascadyas, Islandyas, Riveryas |
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, dark skies, viewpoints, birdwatching or forests?
Same idea, other landscapes: field atlases built on open data, month by month, in seven languages.






