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Quito vs Panjim

Cfb Oceanic / temperateAm Tropical monsoon

Comparing Quito change · Panjim change

Bottom line

Panjim is the warmer of the two — about 17°F on the annual average; Quito is the wetter, with 12 in more rain a year, and Panjim the sunnier.

Warmer Panjim 17°F on the year
Wetter Quito 12 in more a year
Sunnier Panjim 28 pp less cloud
Colder winters Quito 12°F colder nights

How the seasons compare

The differences between Quito and Panjim, in everyday terms.

Summers

Panjim has far hotter summers

Quito: Mild
Panjim: Hot

Winters

Panjim has much milder winters

Quito: Mild
Panjim: Stays warm

Rain & snow

Quito is wetter

Quito: Very wet
Panjim: Very wet

Sky

Panjim is far sunnier

Quito: Often grey
Panjim: Partly cloudy

Month-by-month charts

Temperature

Panjim is the warmer of the two — about 17°F on the annual average.

40°60°80°100° JanAprJulOct QuitoPanjim

Precipitation

Quito is the wetter — about 12 in more across the year.

PRECIPITATION (in) 018.537 JanAprJulOct QuitoPanjim

Clear skies

Panjim has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct QuitoPanjim

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) Panjim runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito727172737475767776747372
Panjim919191929387858587909291
Difference+19+19+19+20+19+13+10+9+10+16+20+19
Jan – JunJanFebMarAprMayJun
Quito727172737475
Panjim919191929387
Difference+19+19+19+20+19+13
Jul – DecJulAugSepOctNovDec
Quito767776747372
Panjim858587909291
Difference+10+9+10+16+20+19
Avg low (°F) Panjim runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito565758585755545455565656
Panjim686974787977767675757369
Difference+12+12+16+20+23+22+22+22+21+19+17+13
Jan – JunJanFebMarAprMayJun
Quito565758585755
Panjim686974787977
Difference+12+12+16+20+23+22
Jul – DecJulAugSepOctNovDec
Quito545455565656
Panjim767675757369
Difference+22+22+21+19+17+13
Precipitation (in) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito11.611.113.11310.66.655.18.611.211.912.2
Panjim0.2000.20.630.936.321.512.75.30.10
Difference-11.4-11-13.1-12.7-10+24.3+31.3+16.4+4.1-6-11.8-12.2
Jan – JunJanFebMarAprMayJun
Quito11.611.113.11310.66.6
Panjim0.2000.20.630.9
Difference-11.4-11-13.1-12.7-10+24.3
Jul – DecJulAugSepOctNovDec
Quito55.18.611.211.912.2
Panjim36.321.512.75.30.10
Difference+31.3+16.4+4.1-6-11.8-12.2
Cloud cover (%) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito818488858175727175818181
Panjim231925325185918774613830
Difference-58-65-63-52-30+9+19+16-1-20-43-51
Jan – JunJanFebMarAprMayJun
Quito818488858175
Panjim231925325185
Difference-58-65-63-52-30+9
Jul – DecJulAugSepOctNovDec
Quito727175818181
Panjim918774613830
Difference+19+16-1-20-43-51
Relative humidity (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito868787868481787576808284
Panjim606165687383878886817163
Difference-26-26-22-18-11+3+10+13+10+1-11-21
Jan – JunJanFebMarAprMayJun
Quito868787868481
Panjim606165687383
Difference-26-26-22-18-11+3
Jul – DecJulAugSepOctNovDec
Quito787576808284
Panjim878886817163
Difference+10+13+10+1-11-21

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 → · Panjim 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.

Panjim

Temperature & precipitation — 1991–2020 normals computed from 27 years of daily observations at Goa/panjim, a weather station, about 2 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 →