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Quito vs Suva

Cfb Oceanic / temperateAf Tropical rainforest

Comparing Quito change · Suva change

Bottom line

Suva is the warmer of the two — about 7°C on the annual average; Quito is the wetter, with 148 mm more rain a year, and Suva the sunnier.

Warmer Suva 7°C on the year
Wetter Quito 148 mm more a year
Sunnier Suva 9 pp less cloud
Colder winters Quito 6°C colder nights

How the seasons compare

The differences between Quito and Suva, in everyday terms.

Summers

Suva has much hotter summers

Quito: Mild
Suva: Hot

Winters

Suva has much milder winters

Quito: Mild
Suva: Stays warm

Rain & snow

Quito is wetter

Quito: Very wet
Suva: Very wet

Sky

Suva is sunnier

Quito: Often grey
Suva: Often cloudy

Month-by-month charts

Temperature

Suva is the warmer of the two — about 7°C on the annual average.

10°20°30°40° JanAprJulOct QuitoSuva

Precipitation

Quito is the wetter — about 148 mm more across the year.

PRECIPITATION (mm) 0175350 JanAprJulOct QuitoSuva

Clear skies

Suva has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct QuitoSuva

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) Suva runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito222222232324242525232322
Suva303131302827262627282930
Difference+8+9+9+7+5+4+2+1+2+4+6+8
Jan – JunJanFebMarAprMayJun
Quito222222232324
Suva303131302827
Difference+8+9+9+7+5+4
Jul – DecJulAugSepOctNovDec
Quito242525232322
Suva262627282930
Difference+2+1+2+4+6+8
Avg low (°C) Suva runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito141414141413121213131313
Suva232323232120202020212223
Difference+10+9+9+8+7+8+8+8+8+8+9+9
Jan – JunJanFebMarAprMayJun
Quito141414141413
Suva232323232120
Difference+10+9+9+8+7+8
Jul – DecJulAugSepOctNovDec
Quito121213131313
Suva202020212223
Difference+8+8+8+8+9+9
Precipitation (mm) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito294281334329270166126129219286303309
Suva326285350310216163138129168245237332
Difference+32+4+16-19-53-4+11-52-40-65+23
Jan – JunJanFebMarAprMayJun
Quito294281334329270166
Suva326285350310216163
Difference+32+4+16-19-53-4
Jul – DecJulAugSepOctNovDec
Quito126129219286303309
Suva138129168245237332
Difference+11-52-40-65+23
Cloud cover (%) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito818488858175727175818181
Suva717071727070696971707069
Difference-10-14-17-13-11-5-3-2-5-11-11-12
Jan – JunJanFebMarAprMayJun
Quito818488858175
Suva717071727070
Difference-10-14-17-13-11-5
Jul – DecJulAugSepOctNovDec
Quito727175818181
Suva696971707069
Difference-3-2-5-11-11-12
Relative humidity (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito868787868481787576808284
Suva818182817980797980808081
Difference-5-6-5-5-5+1+4+3-1-3
Jan – JunJanFebMarAprMayJun
Quito868787868481
Suva818182817980
Difference-5-6-5-5-5
Jul – DecJulAugSepOctNovDec
Quito787576808284
Suva797980808081
Difference+1+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 → · Suva 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.

Suva

Temperature & precipitation — 1991–2020 normals computed from 30 years of daily observations at Nausori Intl, a weather station, about 18 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 →