Best bars Pasay City (PH)

Popular days & hours to visit bars in Pasay City Philippines - Avoid empty bars and enjoy the perfect night out.

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

Neon Nights Bar Club (Bar)
5021 P Burgos St St, Makati 1210 Metro Manila Philippines
4.0

Neon Nights Bar Club is most popular around 11 PM on Fridays. It's most quiet on Mondays.

Neon Nights is the hottest bar in Makati with nightly DJ & Spicy Performances #neonnightswithyou

Google Maps

Kampai (Bar)
5857 Alfonso Makati 1210 Metro Manila Philippines
4.5

Kampai is most popular around 11 PM on Fridays. Visitors usually stay 1-3 hours here. It's most quiet on Mondays.

In light of the nationwide advisory on COVID-19, we are temporarily closed until further notice. Stay safe everyone!

Google Maps

Hoesik Bar & Lounge (Bar)
8445 Kalayaan Ave Makati Metro Manila Philippines
4.2

Hoesik Bar & Lounge is most popular around 11 PM on Saturdays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

The Blind Pig (Bar)
Windsor Tower
4.6

The Blind Pig is most popular around 11 PM on Fridays. It's most quiet on Wednesdays.

Manila's first speakeasy.

For more info visit the website or checkout Google Maps.

Vine Patio (Bar)
HX5P+R4M Trellis I ASEAN Promenade, Pedro Bukaneg St., CCP Complex, Manila, Pedro Bukaneg St, Manila, Metro Manila, Philippines Pedro Bukaneg St Manila, Metro Manila, Philippines
4.4

Vine Patio is most popular around 9 PM on Fridays. It's most quiet on Tuesdays.

Google Maps

K-pop friends KTV (Bar)
1004
4.0

K-pop friends KTV is most popular around 11 PM on Saturdays. Visitors usually stay 1,5-3 hours here. It's most quiet on Thursdays.

Google Maps

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