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Quito vs Florence

Cfb Oceanic / temperateCsa Hot-summer Mediterranean

Comparing Quito change · Florence change

Bottom line

Quito is the warmer of the two — about 5°F on the annual average; Quito is the wetter, with 89 in more rain a year, and Florence the sunnier.

Warmer Quito 5°F on the year
Wetter Quito 89 in more a year
Sunnier Florence 22 pp less cloud
Colder winters Florence 21°F colder nights

How the seasons compare

The differences between Quito and Florence, in everyday terms.

Summers

Florence has much hotter summers

Quito: Mild
Florence: Hot

Winters

Quito has much milder winters

Quito: Mild
Florence: Chilly

Rain & snow

Quito is much wetter

Quito: Very wet
Florence: Moderate rainfall

Sky

Florence is far sunnier

Quito: Often grey
Florence: Partly cloudy

Month-by-month charts

Temperature

Quito is the warmer of the two — about 5°F on the annual average.

20°40°60°80°100° JanAprJulOct QuitoFlorence

Precipitation

Quito is the wetter — about 89 in more across the year.

PRECIPITATION (in) 0714 JanAprJulOct QuitoFlorence

Clear skies

Florence has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct QuitoFlorence

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) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito727172737475767776747372
Florence525561687684909081716053
Difference-19-17-11-5+2+10+15+14+5-3-12-20
Jan – JunJanFebMarAprMayJun
Quito727172737475
Florence525561687684
Difference-19-17-11-5+2+10
Jul – DecJulAugSepOctNovDec
Quito767776747372
Florence909081716053
Difference+15+14+5-3-12-20
Avg low (°F) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito565758585755545455565656
Florence363741475361656559524437
Difference-21-21-16-11-4+6+11+12+4-4-12-19
Jan – JunJanFebMarAprMayJun
Quito565758585755
Florence363741475361
Difference-21-21-16-11-4+6
Jul – DecJulAugSepOctNovDec
Quito545455565656
Florence656559524437
Difference+11+12+4-4-12-19
Precipitation (in) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito11.611.113.11310.66.655.18.611.211.912.2
Florence2.32.52.42.62.51.811.42.64.14.53.2
Difference-9.3-8.5-10.7-10.3-8.1-4.8-4-3.6-6-7.1-7.4-9
Jan – JunJanFebMarAprMayJun
Quito11.611.113.11310.66.6
Florence2.32.52.42.62.51.8
Difference-9.3-8.5-10.7-10.3-8.1-4.8
Jul – DecJulAugSepOctNovDec
Quito55.18.611.211.912.2
Florence11.42.64.14.53.2
Difference-4-3.6-6-7.1-7.4-9
Cloud cover (%) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito818488858175727175818181
Florence656162656250363953626965
Difference-16-23-26-20-19-26-36-32-23-19-12-16
Jan – JunJanFebMarAprMayJun
Quito818488858175
Florence656162656250
Difference-16-23-26-20-19-26
Jul – DecJulAugSepOctNovDec
Quito727175818181
Florence363953626965
Difference-36-32-23-19-12-16
Relative humidity (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito868787868481787576808284
Florence918882797466585971829091
Difference+5+1-4-7-10-14-19-16-5+2+8+7
Jan – JunJanFebMarAprMayJun
Quito868787868481
Florence918882797466
Difference+5+1-4-7-10-14
Jul – DecJulAugSepOctNovDec
Quito787576808284
Florence585971829091
Difference-19-16-5+2+8+7

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 → · Florence 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.

Florence

Temperature & precipitation — the official 1991–2020 climate normals from the WMO's CLINO 1991–2020 collection, measured at Firenze_peretola, about 5 km from the city centre.

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 →