Fun things to do in New Delhi (IN)

Best and most fun things to do in New Delhi : 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.

Janpath Market (Market)
J6H9+JGJ Janpath Rd, Janpath, Connaught Place New Delhi, Delhi 110001 India
4.2

Janpath Market is most popular around 5 PM on Sundays. Visitors usually stay 20 min to 1,5 hr here.

Google Maps

Khan Market (Market)
Rabindra Nagar New Delhi, Delhi 110003 India
4.4

Khan Market is most popular around 5 PM on Saturdays. Visitors usually stay up to 1.5 hours here. It's most quiet on Mondays.

Google Maps

Lodhi Garden (Park)
Lodhi Rd, Lodhi Gardens, Lodhi Estate, New Delhi, Delhi 110003, India
4.5

Lodhi Garden is most popular around 3 PM on Sundays. Visitors usually stay up to 2,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Agrasen ki Baoli (Historical)
Thang India
4.2

Agrasen ki Baoli is most popular around 3 PM on Sundays. Visitors usually stay 20 min here. It's most quiet on Tuesdays.

Google Maps

Museum of Illusions (Museum)
A 30-33 1st Floor, A Block, Inner Cir, Block A, Connaught Place, New Delhi, Delhi 110001, India
4.6

Museum of Illusions is most popular around 6 PM on Sundays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Kuldeepsingh (Market)
1st Floor F-26, Rajiv Chowk, Block F, Connaught Place New Delhi, Delhi 110001 India
4.4

Kuldeepsingh is most popular around 6 PM on Fridays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Sundays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in New Delhi, 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.