Things to do in Shimla (IN)

Crowd levels and popular times for Shimla : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated things to do.

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Shimla Railway Station (Northern Railways) (Other)
Nabha Shimla, Himachal Pradesh 171004 India
4.5

Shimla Railway Station (Northern Railways) is most popular around 5 PM on Saturdays. Visitors usually stay 15-45 min here. It's most quiet on Sundays.

Shimla Railway Station , Part of North Indian Railway Stations .

For more info visit the website or checkout Google Maps.

Jashan Terrace Restaurant (Restaurant)
Mall Rd The Mall Shimla, Himachal Pradesh 171001 India
3.7

Jashan Terrace Restaurant is most popular around 5 PM on Fridays. It's most quiet on Thursdays.

Google Maps

Logo Cafe (Cafe)
Rivoli To Ridge Near DAV School The Ridge Lakkar Bazar Shimla, Himachal Pradesh 171001 India
4.0

It's most quiet on Thursdays.

Google Maps

Devicos Restaurant & D Lounge Bar (Beer)
5, Mall Rd Vijaya Bank, The Mall Shimla, Himachal Pradesh 171001 India
4.6

Devicos Restaurant & D Lounge Bar is most popular around 2 PM on Mondays. It's most quiet on Sundays.

Google Maps

Alacarte Restaurant Bar (Restaurant)
3rd Floor Bell Villa, Opp Tibitian Market The Mall Shimla, Himachal Pradesh 171001 India
4.1

Alacarte Restaurant Bar is most popular around 9 PM on Saturdays. It's most quiet on Sundays.

Google Maps

Neelkanth Bar & Restaurant (Restaurant)
4547+8W2 Bawa Market Road, near A.G. Office, Bawa Market, The Mall Shimla, Himachal Pradesh 171003 India
3.8

Neelkanth Bar & Restaurant is most popular around 1 PM on Mondays. It's most quiet on Tuesdays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Shimla, India. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.