Properties at risk of flooding from rivers and the sea: counts and rankings
Risk of Flooding from Rivers and Sea in England (December 2014)
The constituency-level rankings and statistics displayed in this web application were prepared by Owen Boswarva (@owenboswarva) in December 2014 using data aggregated from the following Environment Agency dataset:
Risk of Flooding from Rivers and Sea Postcodes in Areas at Risk
The Environment Agency data is used under the Open Government Licence. The attribution statement is as follows:
© Environment Agency copyright and/or database right 2014. All rights reserved. © Crown copyright and database rights 2013 Ordnance Survey 100024198 Some of the data in the database has been produced using data licensed from the Centre for Ecology & Hydrology, © NERC
The property counts are based on two of the four flood risk likelihood categories in the RoFRS dataset.
"High" means that, in each year, there is a chance of flooding of greater than 1 in 30 (3.3%).
"Medium" means that, in each year, there is a chance of flooding of between 1 in 30 (3.3%) and 1 in 100 (1%).
"Significant" means that, in each year, there is a chance of flooding greater than or equal to 1 in 75 (1.3%).
Please see the documentation with the Environment Agency dataset for more information on the underlying data.
Property counts for constituencies were calculated by aggregating the postcode-level data using matches between postcodes and Westminster constituencies in the ONS Postcode Directory (ONSPD). The ONSPD data has been used under the Open Government Licence. The attribution statement is as follows:
Contains Ordnance Survey data © Crown copyright and database right 2014
Contains Royal Mail data © Royal Mail copyright and database right 2014
Contains National Statistics data © Crown copyright and database right 2014
Data has been excluded for 48 postcodes in the RoFRS dataset that were matched in ONSPD to constituencies outside England.
You can download a spreadsheet containing the full constituencies rankings and the property counts on which they are based.
A project by Owen Boswarva.