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Quito vs Bangkok

Cfb Oceanic / temperateAw Tropical savanna (dry winter)

Comparing Quito change · Bangkok change

Bottom line

Bangkok is the warmer of the two — about 11°C on the annual average; Quito is the wetter, with 1316 mm more rain a year, and Bangkok the sunnier.

Warmer Bangkok 11°C on the year
Wetter Quito 1316 mm more a year
Sunnier Bangkok 14 pp less cloud
Colder winters Quito 9°C colder nights

How the seasons compare

The differences between Quito and Bangkok, in everyday terms.

Summers

Bangkok has far hotter summers

Quito: Mild
Bangkok: Very hot

Winters

Bangkok has much milder winters

Quito: Mild
Bangkok: Stays warm

Rain & snow

Quito is wetter

Quito: Very wet
Bangkok: Very wet

Sky

Bangkok is sunnier

Quito: Often grey
Bangkok: Often cloudy

Month-by-month charts

Temperature

Bangkok is the warmer of the two — about 11°C on the annual average.

10°20°30°40°50° JanAprJulOct QuitoBangkok

Precipitation

Quito is the wetter — about 1316 mm more across the year.

PRECIPITATION (mm) 0175350 JanAprJulOct QuitoBangkok

Clear skies

Bangkok has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct QuitoBangkok

Exact monthly numbers

Tap a metric to open its full table. Desktop shows all twelve months; on a phone each metric splits into Jan–Jun and Jul–Dec.

Avg high (°C) Bangkok runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito222222232324242525232322
Bangkok333435363534333333333332
Difference+11+12+13+13+12+10+9+8+9+10+11+10
Jan – JunJanFebMarAprMayJun
Quito222222232324
Bangkok333435363534
Difference+11+12+13+13+12+10
Jul – DecJulAugSepOctNovDec
Quito242525232322
Bangkok333333333332
Difference+9+8+9+10+11+10
Avg low (°C) Bangkok runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito141414141413121213131313
Bangkok232526272726262625252523
Difference+10+11+12+13+13+14+14+14+13+12+11+9
Jan – JunJanFebMarAprMayJun
Quito141414141413
Bangkok232526272726
Difference+10+11+12+13+13+14
Jul – DecJulAugSepOctNovDec
Quito121213131313
Bangkok262625252523
Difference+14+14+13+12+11+9
Precipitation (mm) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito294281334329270166126129219286303309
Bangkok363133782301762182573412734412
Difference-259-250-301-251-40+10+91+128+122-12-259-297
Jan – JunJanFebMarAprMayJun
Quito294281334329270166
Bangkok36313378230176
Difference-259-250-301-251-40+10
Jul – DecJulAugSepOctNovDec
Quito126129219286303309
Bangkok2182573412734412
Difference+91+128+122-12-259-297
Cloud cover (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito818488858175727175818181
Bangkok383647608187899189775543
Difference-43-49-41-25+12+17+20+14-4-26-37
Jan – JunJanFebMarAprMayJun
Quito818488858175
Bangkok383647608187
Difference-43-49-41-25+12
Jul – DecJulAugSepOctNovDec
Quito727175818181
Bangkok899189775543
Difference+17+20+14-4-26-37
Relative humidity (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito868787868481787576808284
Bangkok666668707680808184848071
Difference-20-21-19-16-8-1+3+6+7+4-2-13
Jan – JunJanFebMarAprMayJun
Quito868787868481
Bangkok666668707680
Difference-20-21-19-16-8-1
Jul – DecJulAugSepOctNovDec
Quito787576808284
Bangkok808184848071
Difference+3+6+7+4-2-13

How both climates are changing

Both cities are warming. Each city has its own warming trend; see its trends page for the year-by-year detail. Quito trends → · Bangkok trends →

Methodology & sources

Quito

Temperature & precipitation — modelled for this location from ERA5-Land reanalysis, a ~9 km global grid, because no long-record weather station is close enough to use.

Cloud, humidity, wind & sunshine — modelled estimates from NASA POWER, NASA's satellite-and-reanalysis climatology. This is the standard global source for atmospheric variables, which are not measured at most weather stations.

Bangkok

Temperature & precipitation — 1991–2020 normals computed from 28 years of daily observations at Bangkok Metropolis, a weather station, about 7 km from the city centre. The underlying daily records come from NOAA's global station network.

Cloud, humidity, wind & sunshine — modelled estimates from NASA POWER, NASA's satellite-and-reanalysis climatology. This is the standard global source for atmospheric variables, which are not measured at most weather stations.

How we build these numbers →