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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 13°F on the annual average; Quito is the wetter, with 6 in more rain a year, and Suva the sunnier.

Warmer Suva 13°F on the year
Wetter Quito 6 in more a year
Sunnier Suva 9 pp less cloud
Colder winters Quito 11°F 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 13°F on the annual average.

40°60°80°100° JanAprJulOct QuitoSuva

Precipitation

Quito is the wetter — about 6 in more across the year.

PRECIPITATION (in) 0714 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 (°F) Suva runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito727172737475767776747372
Suva878787858381807980828486
Difference+15+16+16+13+9+6+4+3+4+8+11+14
Jan – JunJanFebMarAprMayJun
Quito727172737475
Suva878787858381
Difference+15+16+16+13+9+6
Jul – DecJulAugSepOctNovDec
Quito767776747372
Suva807980828486
Difference+4+3+4+8+11+14
Avg low (°F) Suva runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito565758585755545455565656
Suva747474737069676768707273
Difference+17+17+16+15+13+14+14+14+14+14+16+17
Jan – JunJanFebMarAprMayJun
Quito565758585755
Suva747474737069
Difference+17+17+16+15+13+14
Jul – DecJulAugSepOctNovDec
Quito545455565656
Suva676768707273
Difference+14+14+14+14+16+17
Precipitation (in) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito11.611.113.11310.66.655.18.611.211.912.2
Suva12.811.213.812.28.56.45.45.16.69.79.313.1
Difference+1.3+0.2+0.6-0.8-2.1-0.2+0.4-2-1.6-2.6+0.9
Jan – JunJanFebMarAprMayJun
Quito11.611.113.11310.66.6
Suva12.811.213.812.28.56.4
Difference+1.3+0.2+0.6-0.8-2.1-0.2
Jul – DecJulAugSepOctNovDec
Quito55.18.611.211.912.2
Suva5.45.16.69.79.313.1
Difference+0.4-2-1.6-2.6+0.9
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 →