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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 16°F on the annual average; Quito is the wetter, with 20 in more rain a year, and Apia the sunnier.

Warmer Apia 16°F on the year
Wetter Quito 20 in more a year
Sunnier Apia 12 pp less cloud
Colder winters Quito 17°F 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 16°F on the annual average.

40°60°80°100° JanAprJulOct QuitoApia

Precipitation

Quito is the wetter — about 20 in more across the year.

PRECIPITATION (in) 0714 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 (°F) Apia runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito727172737475767776747372
Apia878787888786868686868787
Difference+15+16+16+15+14+12+10+9+10+12+14+15
Jan – JunJanFebMarAprMayJun
Quito727172737475
Apia878787888786
Difference+15+16+16+15+14+12
Jul – DecJulAugSepOctNovDec
Quito767776747372
Apia868686868787
Difference+10+9+10+12+14+15
Avg low (°F) Apia runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito565758585755545455565656
Apia767676767574747474757676
Difference+20+19+18+18+18+19+20+20+20+19+20+20
Jan – JunJanFebMarAprMayJun
Quito565758585755
Apia767676767574
Difference+20+19+18+18+18+19
Jul – DecJulAugSepOctNovDec
Quito545455565656
Apia747474757676
Difference+20+20+20+19+20+20
Precipitation (in) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito11.611.113.11310.66.655.18.611.211.912.2
Apia13.913.57.88.49.75.14.64.14.45.71012.6
Difference+2.3+2.5-5.4-4.6-0.9-1.4-0.4-1-4.3-5.6-2+0.5
Jan – JunJanFebMarAprMayJun
Quito11.611.113.11310.66.6
Apia13.913.57.88.49.75.1
Difference+2.3+2.5-5.4-4.6-0.9-1.4
Jul – DecJulAugSepOctNovDec
Quito55.18.611.211.912.2
Apia4.64.14.45.71012.6
Difference-0.4-1-4.3-5.6-2+0.5
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 →