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Quito vs Apia

Cfb Oceanic / temperateAf Tropical rainforest

Comparing Quito change · Apia change

Bottom line

Apia is the warmer of the two — about 9°C on the annual average; Quito is the wetter, with 512 mm more rain a year, and Apia the sunnier.

Warmer Apia 9°C on the year
Wetter Quito 512 mm more a year
Sunnier Apia 12 pp less cloud
Colder winters Quito 10°C colder nights

How the seasons compare

The differences between Quito and Apia, in everyday terms.

Summers

Apia has much hotter summers

Quito: Mild
Apia: Hot

Winters

Apia has much milder winters

Quito: Mild
Apia: Stays warm

Rain & snow

Quito is wetter

Quito: Very wet
Apia: Very wet

Sky

Apia is sunnier

Quito: Often grey
Apia: Often cloudy

Month-by-month charts

Temperature

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

10°20°30°40° JanAprJulOct QuitoApia

Precipitation

Quito is the wetter — about 512 mm more across the year.

PRECIPITATION (mm) 0180360 JanAprJulOct QuitoApia

Clear skies

Apia has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct QuitoApia

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) Apia runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito222222232324242525232322
Apia313131313130303030303030
Difference+9+9+9+8+8+7+6+5+5+7+8+8
Jan – JunJanFebMarAprMayJun
Quito222222232324
Apia313131313130
Difference+9+9+9+8+8+7
Jul – DecJulAugSepOctNovDec
Quito242525232322
Apia303030303030
Difference+6+5+5+7+8+8
Avg low (°C) Apia runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito141414141413121213131313
Apia252524242424232323242424
Difference+11+11+10+10+10+11+11+11+11+11+11+11
Jan – JunJanFebMarAprMayJun
Quito141414141413
Apia252524242424
Difference+11+11+10+10+10+11
Jul – DecJulAugSepOctNovDec
Quito121213131313
Apia232323242424
Difference+11+11+11+11+11+11
Precipitation (mm) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito294281334329270166126129219286303309
Apia354344198213246130116104111144253321
Difference+60+63-136-116-23-37-11-24-108-141-50+12
Jan – JunJanFebMarAprMayJun
Quito294281334329270166
Apia354344198213246130
Difference+60+63-136-116-23-37
Jul – DecJulAugSepOctNovDec
Quito126129219286303309
Apia116104111144253321
Difference-11-24-108-141-50+12
Cloud cover (%) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito818488858175727175818181
Apia817873666461595858677278
Difference-6-15-19-17-14-13-13-17-14-10-3
Jan – JunJanFebMarAprMayJun
Quito818488858175
Apia817873666461
Difference-6-15-19-17-14
Jul – DecJulAugSepOctNovDec
Quito727175818181
Apia595858677278
Difference-13-13-17-14-10-3
Relative humidity (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito868787868481787576808284
Apia828282818181807979808181
Difference-4-5-5-5-4+2+4+3-1-3
Jan – JunJanFebMarAprMayJun
Quito868787868481
Apia828282818181
Difference-4-5-5-5-4
Jul – DecJulAugSepOctNovDec
Quito787576808284
Apia807979808181
Difference+2+4+3-1-3

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 → · Apia 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.

Apia

Temperature & precipitation — 1991–2020 normals computed from 21 years of daily observations at Apia/upolu Island, a weather station, about 4 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 →