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Tampa vs Hanoi

Cfa Humid subtropicalCwa Monsoon-influenced humid subtropical

Comparing Tampa change · Hanoi change

Bottom line

Hanoi is the warmer of the two — about 2°F on the annual average; Hanoi is the wetter, with 7 in more rain a year, and Tampa the sunnier.

Warmer Hanoi 2°F on the year
Wetter Hanoi 7 in more a year
Sunnier Tampa 22 pp less cloud
Colder winters Tampa 5°F colder nights

How the seasons compare

The differences between Tampa and Hanoi, in everyday terms.

Summers

Summers are nearly the same

Tampa: Hot
Hanoi: Hot

Winters

Hanoi has milder winters

Tampa: Mild
Hanoi: Mild

Rain & snow

Hanoi is wetter

Tampa: Wet
Hanoi: Wet

Sky

Tampa is far sunnier

Tampa: Partly cloudy
Hanoi: Often grey

Month-by-month charts

Temperature

Hanoi is the warmer of the two — about 2°F on the annual average.

40°60°80°100° JanAprJulOct TampaHanoi

Precipitation

Hanoi is the wetter — about 7 in more across the year.

PRECIPITATION (in) 05.511 JanAprJulOct TampaHanoi

Clear skies

Tampa has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct TampaHanoi

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
Tampa717478838891919190867974
Hanoi687175839093929190868072
Difference-3-3-3-1+1+3+1-1+1-2
Jan – JunJanFebMarAprMayJun
Tampa717478838891
Hanoi687175839093
Difference-3-3-3-1+1+3
Jul – DecJulAugSepOctNovDec
Tampa919190867974
Hanoi929190868072
Difference+1-1+1-2
Avg low (°F) Hanoi runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Tampa535659657175777775696156
Hanoi576065717679797877726659
Difference+5+5+6+6+5+4+2+2+1+3+5+3
Jan – JunJanFebMarAprMayJun
Tampa535659657175
Hanoi576065717679
Difference+5+5+6+6+5+4
Jul – DecJulAugSepOctNovDec
Tampa777775696156
Hanoi797877726659
Difference+2+2+1+3+5+3
Precipitation (in) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Tampa2.72.62.52.62.67.47.896.12.31.42.6
Hanoi1.20.923.77.1810.310.65.93.520.9
Difference-1.4-1.7-0.5+1.1+4.5+0.6+2.6+1.5-0.2+1.2+0.6-1.7
Jan – JunJanFebMarAprMayJun
Tampa2.72.62.52.62.67.4
Hanoi1.20.923.77.18
Difference-1.4-1.7-0.5+1.1+4.5+0.6
Jul – DecJulAugSepOctNovDec
Tampa7.896.12.31.42.6
Hanoi10.310.65.93.520.9
Difference+2.6+1.5-0.2+1.2+0.6-1.7
Cloud cover (%) Hanoi runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Tampa545046454459646159474551
Hanoi737679807985858170626064
Difference+19+27+33+35+35+26+21+19+11+15+15+13
Jan – JunJanFebMarAprMayJun
Tampa545046454459
Hanoi737679807985
Difference+19+27+33+35+35+26
Jul – DecJulAugSepOctNovDec
Tampa646159474551
Hanoi858170626064
Difference+21+19+11+15+15+13
Relative humidity (%) Hanoi runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Tampa797875726976798183818080
Hanoi807979778083848585838179
Difference+1+1+4+5+10+7+5+4+2+2+1-1
Jan – JunJanFebMarAprMayJun
Tampa797875726976
Hanoi807979778083
Difference+1+1+4+5+10+7
Jul – DecJulAugSepOctNovDec
Tampa798183818080
Hanoi848585838179
Difference+5+4+2+2+1-1

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. Tampa trends → · Hanoi trends →

Methodology & sources

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.

Hanoi

Temperature & precipitation — 1991–2020 normals computed from 30 years of daily observations at Noibai Intl, a weather station, about 22 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 →