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Quito vs Chiang Mai

Cfb Oceanic / temperateAw Tropical savanna (dry winter)

Comparing Quito change · Chiang Mai change

Bottom line

Chiang Mai is the warmer of the two — about 9°C on the annual average; Quito is the wetter, with 1886 mm more rain a year, and Chiang Mai the sunnier.

Warmer Chiang Mai 9°C on the year
Wetter Quito 1886 mm more a year
Sunnier Chiang Mai 21 pp less cloud
Colder winters Quito 1°C colder nights

How the seasons compare

The differences between Quito and Chiang Mai, in everyday terms.

Summers

Chiang Mai has far hotter summers

Quito: Mild
Chiang Mai: Very hot

Winters

Winters are similar

Quito: Mild
Chiang Mai: Stays warm

Rain & snow

Quito is much wetter

Quito: Very wet
Chiang Mai: Wet

Sky

Chiang Mai is sunnier

Quito: Often grey
Chiang Mai: Partly cloudy

Month-by-month charts

Temperature

Chiang Mai is the warmer of the two — about 9°C on the annual average.

10°20°30°40°50° JanAprJulOct QuitoChiang Mai

Precipitation

Quito is the wetter — about 1886 mm more across the year.

PRECIPITATION (mm) 0170340 JanAprJulOct QuitoChiang Mai

Clear skies

Chiang Mai has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct QuitoChiang Mai

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) Chiang Mai runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito222222232324242525232322
Chiang Mai303335373533323232323129
Difference+8+11+13+14+12+10+8+7+8+8+8+7
Jan – JunJanFebMarAprMayJun
Quito222222232324
Chiang Mai303335373533
Difference+8+11+13+14+12+10
Jul – DecJulAugSepOctNovDec
Quito242525232322
Chiang Mai323232323129
Difference+8+7+8+8+8+7
Avg low (°C) Chiang Mai runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito141414141413121213131313
Chiang Mai151620232424242423221916
Difference+1+2+5+9+10+11+12+12+11+9+6+3
Jan – JunJanFebMarAprMayJun
Quito141414141413
Chiang Mai151620232424
Difference+1+2+5+9+10+11
Jul – DecJulAugSepOctNovDec
Quito121213131313
Chiang Mai242423221916
Difference+12+12+11+9+6+3
Precipitation (mm) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito294281334329270166126129219286303309
Chiang Mai121123551591251432212261244416
Difference-282-270-311-274-111-42+17+92+7-161-258-293
Jan – JunJanFebMarAprMayJun
Quito294281334329270166
Chiang Mai12112355159125
Difference-282-270-311-274-111-42
Jul – DecJulAugSepOctNovDec
Quito126129219286303309
Chiang Mai1432212261244416
Difference+17+92+7-161-258-293
Cloud cover (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito818488858175727175818181
Chiang Mai252131487691939385664231
Difference-56-63-57-37-5+16+21+22+10-15-40-49
Jan – JunJanFebMarAprMayJun
Quito818488858175
Chiang Mai252131487691
Difference-56-63-57-37-5+16
Jul – DecJulAugSepOctNovDec
Quito727175818181
Chiang Mai939385664231
Difference+21+22+10-15-40-49
Relative humidity (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito868787868481787576808284
Chiang Mai665551567481848789878175
Difference-20-32-36-30-10+6+12+13+7-1-9
Jan – JunJanFebMarAprMayJun
Quito868787868481
Chiang Mai665551567481
Difference-20-32-36-30-10
Jul – DecJulAugSepOctNovDec
Quito787576808284
Chiang Mai848789878175
Difference+6+12+13+7-1-9

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 → · Chiang Mai 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.

Chiang Mai

Temperature & precipitation — 1991–2020 normals computed from 30 years of daily observations at Chiang Mai Intl, a weather station, about 3 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 →