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Luxor vs Apia

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Comparing Luxor change · Apia change

Bottom line

Apia is the warmer of the two — about 2°C on the annual average; Apia is the wetter, with 2512 mm more rain a year, and Luxor the sunnier.

Warmer Apia 2°C on the year
Wetter Apia 2512 mm more a year
Sunnier Luxor 50 pp less cloud
Colder winters Luxor 16°C colder nights

How the seasons compare

The differences between Luxor and Apia, in everyday terms.

Summers

Luxor has far hotter summers

Luxor: Extreme heat
Apia: Hot

Winters

Apia has far milder winters

Luxor: Cool
Apia: Stays warm

Rain & snow

Apia is much wetter

Luxor: Very dry
Apia: Very wet

Sky

Luxor is far sunnier

Luxor: Sunny
Apia: Often cloudy

Month-by-month charts

Temperature

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

10°20°30°40°50° JanAprJulOct LuxorApia

Precipitation

Apia is the wetter — about 2512 mm more across the year.

PRECIPITATION (mm) 0180360 JanAprJulOct LuxorApia

Clear skies

Luxor has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct LuxorApia

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
Luxor232530353941414139352924
Apia313131313130303030303030
Difference+8+5+1-4-8-11-12-11-9-5+1+6
Jan – JunJanFebMarAprMayJun
Luxor232530353941
Apia313131313130
Difference+8+5+1-4-8-11
Jul – DecJulAugSepOctNovDec
Luxor414139352924
Apia303030303030
Difference-12-11-9-5+1+6
Avg low (°C) Apia runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor791317222526252319138
Apia252524242424232323242424
Difference+18+16+12+7+2-1-2-2+4+11+16
Jan – JunJanFebMarAprMayJun
Luxor7913172225
Apia252524242424
Difference+18+16+12+7+2-1
Jul – DecJulAugSepOctNovDec
Luxor26252319138
Apia232323242424
Difference-2-2+4+11+16
Precipitation (mm) Apia runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor2022120001130
Apia354344198213246130116104111144253321
Difference+352+344+196+211+235+130+115+104+111+144+250+321
Jan – JunJanFebMarAprMayJun
Luxor2022120
Apia354344198213246130
Difference+352+344+196+211+235+130
Jul – DecJulAugSepOctNovDec
Luxor001130
Apia116104111144253321
Difference+115+104+111+144+250+321
Cloud cover (%) Apia runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor242525272410989111522
Apia817873666461595858677278
Difference+56+53+48+39+40+51+50+51+50+56+56+56
Jan – JunJanFebMarAprMayJun
Luxor242525272410
Apia817873666461
Difference+56+53+48+39+40+51
Jul – DecJulAugSepOctNovDec
Luxor989111522
Apia595858677278
Difference+50+51+50+56+56+56
Relative humidity (%) Apia runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor463727201818202125304047
Apia828282818181807979808181
Difference+36+45+54+61+63+63+60+58+55+50+41+34
Jan – JunJanFebMarAprMayJun
Luxor463727201818
Apia828282818181
Difference+36+45+54+61+63+63
Jul – DecJulAugSepOctNovDec
Luxor202125304047
Apia807979808181
Difference+60+58+55+50+41+34

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. Luxor trends → · Apia trends →

Methodology & sources

Luxor

Temperature & precipitation — 1991–2020 normals computed from 30 years of daily observations at Luxor Intl, a weather station, about 7 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.

Apia

Temperature & precipitation — 1991–2020 normals computed from 21 years of daily observations at Apia/upolu Island, a weather station, about 4 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 →