How does each water company compare? These are the totals by company for each. The totals are really high, counting things in hours doesn't make it very easy to think about. Here we show how many years of continuous sewage dumps happened in a single year, by water company.
It isn't like there are just a few outliers... the problem exists across the entire estate of water assets. Here we show a 'cumulative frequency diagram' - where the number of CSOs that dumped sewage for a time, or longer, is shown. You can see that many CSOs dumped sewage into a river for months and months.
Severn Trent Water is highlighted in the plot below
South Shropshire polluted for 3,852 hours, into Quinny Brook
177 incidents
That's 5.35 months.
3.4 times a week, on average
Stratford-on-Avon polluted for 3,557 hours, into River Stour
173 incidents
That's 4.94 months.
3.3 times a week, on average
North Cotswolds polluted for 3,535 hours, into Blockley Brook
178 incidents
That's 4.91 months.
3.4 times a week, on average
North Warwickshire and Bedworth polluted for 3,500 hours, into Bourne Brook
241 incidents
That's 4.86 months.
4.6 times a week, on average
Meriden and Solihull East polluted for 3,157 hours, into River Blythe
169 incidents
That's 4.38 months.
3.2 times a week, on average
That's 3.5 years!
3,057 incidents
On average 8.4 times a day
That's 2.52 years!
2,939 incidents
On average 8.1 times a day
That's 1.92 years!
2,732 incidents
On average 7.5 times a day
That's 1.58 years!
1,707 incidents
On average 4.7 times a day
That's 1.18 years!
1,130 incidents
On average 3.1 times a day
That's 1.02 years!
1,051 incidents
On average 2.9 times a day
EDM (Event Duration Monitoring) data and Consented Discharges to Controlled Waters with Conditions from Environment Agency & Data Map Wales, and Scottish Water
Experimental derived data from Thames Water API, Some data may be missing or inaccurate. This uses Environment Agency rainfall data from the real-time data API (Beta) - Rainfall data is delayed by up to two days.
This website is intended to provide an accurate representation of the Environment Agency data. The data is hard to use, and thus some errors may have been made. If you find something that is incorrect, please raise an issue at the GitHub issues page and we'll endeavour to fix it quickly.
This project is not associated, approved or endorsed by any of the companies whose logos you see here.