Public Authorities (Fraud, Error and Recovery) Bill 2024-25: Progress of the bill
An overview of the progress of the Public Authorities (Fraud, Error and Recovery) Bill through the House of Commons prior to report stage.

On 26 February 2018 there will be an Estimates Day debate on the spending of the Department for Exiting the EU.
The Spending of the Department for Exiting the European Union (221 KB , PDF)
The subject for this debate was selected by the Backbench Business Committee as part of the new process for choosing subjects of Estimates Day debates, following the publication of the 2017-18 Supplementary Estimates on 7 February 2018. The application to the Committee was made by Stephen Gethins MP, who said the following in his proposal to the Committee:
There is a significant debate taking place at the moment about our future relationship with the European Union. As part of that, despite being a relatively new Department, DExEU’s expenditure is having consequences right across Whitehall, and we are seeing considerable transfers from DExEU to other Departments. I am asking for the opportunity to debate the costs of Brexit, looking at day-to-day activities, ongoing negotiations, practical spending on transitional arrangements and other related contingency planning.
I think that this is particularly important, regardless of what side of the debate colleagues sit on. This will be an increasingly important Department, not least over the next six months, and some of its actions will have very significant and far-reaching consequences. It will give us the opportunity to interrogate that a little bit further.
The Spending of the Department for Exiting the European Union (221 KB , PDF)
An overview of the progress of the Public Authorities (Fraud, Error and Recovery) Bill through the House of Commons prior to report stage.
This Library Briefing gives an overview of freedom of information (FOI) requests.
This briefing brings together various sources of local pothole and road maintenance funding. It can be used to find local funding allocation datasets.