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Hong Kong vs Tampa

Cwa Monsoon-influenced humid subtropicalCfa Humid subtropical

Comparing Hong Kong change · Tampa change

Bottom line

Hong Kong is the warmer of the two — about 1°C on the annual average; Hong Kong is the wetter, with 426 mm more rain a year, and Tampa the sunnier.

Year-round temp About the same within 1°C on the year
Wetter Hong Kong 426 mm more a year
Sunnier Tampa 15 pp less cloud
Colder winters Tampa 2°C colder nights

How the seasons compare

The differences between Hong Kong and Tampa, in everyday terms.

Summers

Summers are nearly the same

Hong Kong: Hot
Tampa: Hot

Winters

Hong Kong has milder winters

Hong Kong: Mild
Tampa: Mild

Rain & snow

Hong Kong is wetter

Hong Kong: Very wet
Tampa: Wet

Sky

Tampa is sunnier

Hong Kong: Often cloudy
Tampa: Partly cloudy

Month-by-month charts

Temperature

Hong Kong is the warmer of the two — about 1°C on the annual average.

10°20°30°40° JanAprJulOct Hong KongTampa

Precipitation

Hong Kong is the wetter — about 426 mm more across the year.

PRECIPITATION (mm) 0175350 JanAprJulOct Hong KongTampa

Clear skies

Tampa has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct Hong KongTampa

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) Tampa runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Hong Kong202023273032333232302621
Tampa222325283133333332302623
Difference+2+3+2+2+1+1+1+2
Jan – JunJanFebMarAprMayJun
Hong Kong202023273032
Tampa222325283133
Difference+2+3+2+2+1+1
Jul – DecJulAugSepOctNovDec
Hong Kong333232302621
Tampa333332302623
Difference+1+2
Avg low (°C) Hong Kong runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Hong Kong141518212527272726242015
Tampa121315182124252524211613
Difference-2-2-2-3-3-3-2-2-2-3-4-2
Jan – JunJanFebMarAprMayJun
Hong Kong141518212527
Tampa121315182124
Difference-2-2-2-3-3-3
Jul – DecJulAugSepOctNovDec
Hong Kong272726242015
Tampa252524211613
Difference-2-2-2-3-4-2
Precipitation (mm) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Hong Kong312661130231346244310199482928
Tampa6767646566187197229155593665
Difference+36+41+3-66-165-159-47-81-44+12+7+38
Jan – JunJanFebMarAprMayJun
Hong Kong312661130231346
Tampa6767646566187
Difference+36+41+3-66-165-159
Jul – DecJulAugSepOctNovDec
Hong Kong244310199482928
Tampa197229155593665
Difference-47-81-44+12+7+38
Cloud cover (%) Hong Kong runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Hong Kong607076757679737365495252
Tampa545046454459646159474551
Difference-6-21-30-30-32-20-9-12-6-2-6
Jan – JunJanFebMarAprMayJun
Hong Kong607076757679
Tampa545046454459
Difference-6-21-30-30-32-20
Jul – DecJulAugSepOctNovDec
Hong Kong737365495252
Tampa646159474551
Difference-9-12-6-2-6
Relative humidity (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Hong Kong757881848587868582767472
Tampa797875726976798183818080
Difference+4-7-12-16-11-7-4+1+5+5+8
Jan – JunJanFebMarAprMayJun
Hong Kong757881848587
Tampa797875726976
Difference+4-7-12-16-11
Jul – DecJulAugSepOctNovDec
Hong Kong868582767472
Tampa798183818080
Difference-7-4+1+5+5+8

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. Hong Kong trends → · Tampa trends →

Methodology & sources

Hong Kong

Temperature & precipitation — 1991–2020 normals computed from 30 years of daily observations at Hong Kong Intl, a weather station, about 27 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.

Tampa

Temperature & precipitation — the official 1991–2020 climate normals from NOAA's U.S. Climate Normals, measured at Tampa Intl AP (NOAA GHCN station USW00012842), about 8 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 →