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 3 PM on Sundays. Visitors usually stay up to 3 hours here. It's most quiet on Thursdays.

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 5 PM on Sundays. Visitors usually stay up to 1 hour 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 4 PM on Sundays. Visitors usually stay up to 1.5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Dr Ram Manohar Lohia Park (Park)
Aradhana Road, Rajender Nagar -5, Raj Bagh Sector 2, Rajendra Nagar Ghaziabad, Uttar Pradesh 201005 India
4.3

Dr Ram Manohar Lohia Park is most popular around 5 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Thursdays.

Google Maps

Ashoka Park (Park)
Khizrabad Bhagol Friends Colony East New Delhi, Delhi 110065 India
4.0

Ashoka Park is most popular around 5 PM on Sundays. Visitors usually stay up to 1.5 hours here. It's most quiet on Thursdays.

Google Maps

Deer Park (Park)
Hauz Khas Village, Deer Park, Hauz Khas New Delhi, Delhi 110016 India
4.4

Deer Park is most popular around 4 PM on Sundays. Visitors usually stay up to 1,5 hours here. 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 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.