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Prague vs Hakuba

Cfb Oceanic / temperateCfa Humid subtropical

Comparing Prague change · Hakuba change

Bottom line

Prague and Hakuba have nearly identical year-round temperatures; Hakuba is the wetter, with 814 mm more rain a year.

Year-round temp About the same within 1°C on the year
Wetter Hakuba 814 mm more a year
Sunnier About the same similar amount of sun
Colder winters Hakuba 4°C colder nights

How the seasons compare

The differences between Prague and Hakuba, in everyday terms.

Summers

Hakuba has hotter summers

Prague: Mild
Hakuba: Warm

Winters

Prague has milder winters

Prague: Cold
Hakuba: Very cold

Rain & snow

Hakuba is much wetter

Prague: Moderate rainfall
Hakuba: Wet

Sky

Similar amounts of sun

Prague: Often cloudy
Hakuba: Often grey

Month-by-month charts

Temperature

Prague and Hakuba run remarkably close all year.

-20°20°40° JanAprJulOct PragueHakuba

Precipitation

Hakuba is the wetter — about 814 mm more across the year.

PRECIPITATION (mm) 0100200 JanAprJulOct PragueHakuba

Clear skies

The two cities see a similar amount of sun.

0%25%50%75%100% JanAprJulOct PragueHakuba

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
Prague2491520232525201473
Hakuba23715212427292418125
Difference-1-2-2+1+1+2+4+4+4+5+2
Jan – JunJanFebMarAprMayJun
Prague249152023
Hakuba237152124
Difference-1-2-2+1+1
Jul – DecJulAugSepOctNovDec
Prague2525201473
Hakuba27292418125
Difference+2+4+4+4+5+2
Avg low (°C) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Prague-3-3049121413951-2
Hakuba-8-7-3281317181471-4
Difference-4-5-4-2+1+4+5+5+2-2
Jan – JunJanFebMarAprMayJun
Prague-3-304912
Hakuba-8-7-32813
Difference-4-5-4-2+1
Jul – DecJulAugSepOctNovDec
Prague1413951-2
Hakuba17181471-4
Difference+4+5+5+2-2
Precipitation (mm) Hakuba runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Prague434129367187747247372926
Hakuba8578100981121591951361651297079
Difference+42+37+71+62+41+72+121+64+118+92+41+52
Jan – JunJanFebMarAprMayJun
Prague434129367187
Hakuba857810098112159
Difference+42+37+71+62+41+72
Jul – DecJulAugSepOctNovDec
Prague747247372926
Hakuba1951361651297079
Difference+121+64+118+92+41+52
Cloud cover (%) Hakuba runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Prague777573676971686566737777
Hakuba787573697180797076717277
Difference+1-1+2+2+9+10+5+10-2-5
Jan – JunJanFebMarAprMayJun
Prague777573676971
Hakuba787573697180
Difference+1-1+2+2+9
Jul – DecJulAugSepOctNovDec
Prague686566737777
Hakuba797076717277
Difference+10+5+10-2-5
Relative humidity (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Prague928983767268646471819093
Hakuba908782767579818183848588
Difference-3-2-1+3+11+17+17+11+3-5-5
Jan – JunJanFebMarAprMayJun
Prague928983767268
Hakuba908782767579
Difference-3-2-1+3+11
Jul – DecJulAugSepOctNovDec
Prague646471819093
Hakuba818183848588
Difference+17+17+11+3-5-5

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. Prague trends → · Hakuba trends →

Methodology & sources

Prague

Temperature & precipitation — 1991–2020 normals computed from 24 years of daily observations at Praha-libus, a weather station, about 10 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.

Hakuba

Temperature & precipitation — the official 1991–2020 climate normals from the Japan Meteorological Agency, measured at Omachi, about 20 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 →