#6
Largest by Area Lake in India
Sorted by Surface Area
Value: 700 km²
Lake in Ladakh, India
Pangong Tso is a lake located in Ladakh, India. This page highlights its key ranking metrics, including Surface Area, Maximum Depth, and Surface Elevation, to help users compare it with other lakes in India.

See how this lake performs across different ranking categories in India.
#6
Sorted by Surface Area
Value: 700 km²
#2
Sorted by Maximum Depth
Value: 100 meters
#11
Sorted by Surface Elevation
Value: 4,225 meters
| Metric | Value | Description |
|---|---|---|
| Surface Area | 700 km² | Total surface area covered by the lake. |
| Maximum Depth | 100 meters | Deepest measured point of the lake. |
| Surface Elevation | 4,225 meters | Elevation of the lake surface above sea level. |
Metric values are based on the verified sources listed below.
Pangong Tso is located in Ladakh, India. The location details shown here are based on the currently available city, state, and country information for this lake.
Explore other lakes in India and compare them with Pangong Tso.
This lake is compared with other lakes in India using the ranking metrics available on this page. These metrics help show how Pangong Tso performs across different comparison categories, such as Surface Area, Maximum Depth, and Surface Elevation.
Ranking positions are calculated from structured data instead of being manually assigned. As more verified information is added, corrected, or expanded, the rankings and metric values may be updated over time.
For this page, the comparison focuses on measurable data rather than user reviews or star ratings.
Pangong Tso details on this page are based on verified public sources and structured LocoDeck ranking data.
Pangong Tso is located in Ladakh, India.
Pangong Tso is listed as a lake in India. This page highlights key metrics such as Surface Area, Maximum Depth, and Surface Elevation to help compare it with other lakes.
Pangong Tso is compared using the ranking metrics available for lakes in India. The comparison focuses on structured data and metric values rather than user reviews or star ratings.