A fair question, but according to our data analysis the answer is an emphatic yes! For instance, although 29th of July is one of the hottest days of the year across the country, in SA13 it is one of the wettest days that month. And, historically in that same postcode, the 19th of July receives 40% less rain on average than the 29th. This is just one of many examples that show the power of this site.
Much as we would love to, unfortunately the answer is no. What our data has shown us though is that there are significant regional differences in weather that fall outside of normal perceptions; for instance, did you know that Edinburgh receives 20% less rain on average than Oxford in the month of January? This is just one of many examples that show the power that this site has to offer.
This is the highest reading across 24 hours for that date, and an average of all those highest readings across the same date over 50 years. The range is the difference between the lowest maximum temperature and the highest, maximum temperature.
We show you the average rainfall for your selected date and your selected postcode. The UK average is 2.6mm of rain on any given day across the year. We consulted meteorologists and the consensus is that less than 1mm of rain on any given day is a minimal amount of rain in the UK, so if your date is showing an average of lower than 1mm, you should be pretty safe and dry!
This result shows when it rained less than 0.005mm on that day. If the years showing no rain are all in the last decade, your chances of having no rain on your date in the future is higher given changing weather patterns.
The data we are using are taken from rigorous Met Office readings from 1970 - 2019 and is accurate to within 12km of your given postcode. For more information, please see "Where does the data come from?".
Our dataset is provided by the Met Office; Hollis, D.; McCarthy, M.; Kendon, M.; Legg, T.; Simpson, I. (2019): HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v126.96.36.199 (1862-2017). Centre for Environmental Data Analysis, 14 November 2019. doi:10.5285/dc2ef1e4f10144f29591c21051d99d39. http://dx.doi.org/10.5285/dc2ef1e4f10144f29591c21051d99d39
We are always striving to improve our service and if there is something you would like to know that we are not currently showing, please email us directly at firstname.lastname@example.org