Best parks and nature in Delhi (IN)

Unwind in Delhi India Nature: Seek solitude or socialize in top outdoor spaces

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated places in nature.

Indraprastha Park (Park)
Ring Road, Grand Trunk Road Block A, Ganga Vihar, Sarai Kale Khan New Delhi, Delhi 110003 India
4.2

Indraprastha Park is most popular around 4 PM on Sundays. Visitors usually stay up to 45 min here. It's most quiet on Tuesdays.

Google Maps

Millennium Park (Park)
H7W3+JW2 Ring Rd, Block A, Ganga Vihar, Sarai Kale Khan New Delhi, Delhi 110013 India
4.3

Millennium Park is most popular around 5 PM on Sundays. Visitors usually stay up to 45 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Ajmal Khan Park (Park)
Ajmal Khan Rd Block 57, Karol Bagh Delhi, 110005 India
4.0

Ajmal Khan Park is most popular around 8 PM on Saturdays. Visitors usually stay up to 45 min here. It's most quiet on Thursdays.

Google Maps

Buddha Jayanti Park (Park)
J58H+6CF Vande Mataram Marg, Central Ridge Reserve Forest New Delhi, Delhi 110021 India
4.2

Buddha Jayanti Park is most popular around 4 PM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Fridays.

Google Maps

Nihal Vihar park (Park)
M36C+MWC DDA Park Nihal Vihar, Nangloi Delhi, 110041 India
3.9

Nihal Vihar park is most popular around 6 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Google Maps

Paschim Vihar District Park (Park)
M3CW+FCF Outer Ring Rd, A-2 Paschim Vihar, Pocket GH2, Paschim Vihar Delhi, 110063 India
4.3

Paschim Vihar District Park is most popular around 8 AM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Mondays.

Google Maps

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