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Quito vs Nara-shi

Cfb Oceanic / temperateCfa Humid subtropical

Comparing Quito change · Nara-shi change

Bottom line

Quito is the warmer of the two — about 2°C on the annual average; Quito is the wetter, with 1681 mm more rain a year, and Nara-shi the sunnier.

Warmer Quito 2°C on the year
Wetter Quito 1681 mm more a year
Sunnier Nara-shi 10 pp less cloud
Colder winters Nara-shi 13°C colder nights

How the seasons compare

The differences between Quito and Nara-shi, in everyday terms.

Summers

Nara-shi has far hotter summers

Quito: Mild
Nara-shi: Hot

Winters

Quito has far milder winters

Quito: Mild
Nara-shi: Chilly

Rain & snow

Quito is much wetter

Quito: Very wet
Nara-shi: Wet

Sky

Nara-shi is sunnier

Quito: Often grey
Nara-shi: Often cloudy

Month-by-month charts

Temperature

Quito is the warmer of the two — about 2°C on the annual average.

-10°10°20°30°40° JanAprJulOct QuitoNara-shi

Precipitation

Quito is the wetter — about 1681 mm more across the year.

PRECIPITATION (mm) 0170340 JanAprJulOct QuitoNara-shi

Clear skies

Nara-shi has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct QuitoNara-shi

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) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito222222232324242525232322
Nara-shi91014202528323329231712
Difference-13-12-8-3+2+4+8+9+4-1-5-11
Jan – JunJanFebMarAprMayJun
Quito222222232324
Nara-shi91014202528
Difference-13-12-8-3+2+4
Jul – DecJulAugSepOctNovDec
Quito242525232322
Nara-shi323329231712
Difference+8+9+4-1-5-11
Avg low (°C) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito141414141413121213131313
Nara-shi114914182324201473
Difference-13-13-11-6+6+11+12+8-6-10
Jan – JunJanFebMarAprMayJun
Quito141414141413
Nara-shi11491418
Difference-13-13-11-6+6
Jul – DecJulAugSepOctNovDec
Quito121213131313
Nara-shi2324201473
Difference+11+12+8-6-10
Precipitation (mm) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito294281334329270166126129219286303309
Nara-shi5263105991391841741281591357157
Difference-242-218-229-230-131+18+47-1-60-151-232-252
Jan – JunJanFebMarAprMayJun
Quito294281334329270166
Nara-shi526310599139184
Difference-242-218-229-230-131+18
Jul – DecJulAugSepOctNovDec
Quito126129219286303309
Nara-shi1741281591357157
Difference+47-1-60-151-232-252
Cloud cover (%) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito818488858175727175818181
Nara-shi726967656980746370666669
Difference-10-15-20-19-12+5+3-8-5-15-15-12
Jan – JunJanFebMarAprMayJun
Quito818488858175
Nara-shi726967656980
Difference-10-15-20-19-12+5
Jul – DecJulAugSepOctNovDec
Quito727175818181
Nara-shi746370666669
Difference+3-8-5-15-15-12
Relative humidity (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito868787868481787576808284
Nara-shi848180788083858484848484
Difference-3-6-7-8-5+3+7+9+8+4+2
Jan – JunJanFebMarAprMayJun
Quito868787868481
Nara-shi848180788083
Difference-3-6-7-8-5+3
Jul – DecJulAugSepOctNovDec
Quito787576808284
Nara-shi858484848484
Difference+7+9+8+4+2

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 → · Nara-shi 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.

Nara-shi

Temperature & precipitation — the official 1991–2020 climate normals from the Japan Meteorological Agency, measured at Nara, about 3 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 →