Research datasets

We have published a selection of datasets to crowdsource answers to our key research questions and support collaboration between our staff and external researchers

Bank of England/NMG household survey data

This annual survey poses questions on people’s balance sheets and spending. It is carried out by NMG Consulting on our behalf.

Excel2004 to 2011 NMG survey data (7MB)  Excel2011 to 2017 NMG survey data (29MB) 

Results of the survey are summarised in the Q4 edition of our Quarterly Bulletin each year.

The survey data provide a timelier update of developments in households’ finances than other surveys, which are typically published with a longer lag.

A millennium of macroeconomic data

The dataset contains a broad set of macroeconomic and financial data for the UK stretching back in some cases to the C13th and with one or two benchmark estimates available for 1086, the year of the Domesday Book. The dataset was originally called the 'Three centuries of macroeconomic data' spreadsheet but has now been renamed given its broader coverage. Version 3.1 of the dataset has now been updated to 2016.

ExcelA millennium of macroeconomic data

The spreadsheet was originally constructed alongside a Quarterly Bulletin article in 2010 which contains a number of charts of the data.

PDFThe UK recession in context: what do three centuries of data tell us? 

The Bank of England’s balance sheet

Historical data on our balance sheet is available in two spreadsheets. The first includes annual data from 1696 to 2014, the second weekly data from 1844 to 2006:

ExcelAnnual data on the Bank of England's balance sheet, 1696 to 2014  ExcelWeekly data on the Bank of England's balance sheet, 1844 to 2006  ExcelThe Bank of England as Lender of Last Resort Historical dataset
The weekly data can be used alongside our digitised daily account books, which provide even more detail on our balance sheet from 1851 to 1993.

Quantitative easing data

This dataset contains data on our quantitative easing programme, known as the asset purchase facility (APF).

ExcelQE related data

We also publish daily yield curve estimates, which may be useful for analysing the impact of quantitative easing.

Decision Maker Panel

We launched our Decision Maker Panel in August 2016 to collect information on how business conditions are changing in the face of substantial UK and international economic uncertainty.

The panel was created in partnership with Professor Nicholas Bloom of Stanford University and Professor Paul Mizen of the University of Nottingham. It is made up of senior executives from different industries across the UK. 

The survey is being partly funded by the University of Nottingham’s ESRC Impact Accelerator Fund.

Decision Maker Panel project and recruitment teams

We collect data from the panel through a short monthly online survey, and aim to sample around 2,500 companies each month. Each survey will focus on one of three topics:

  1. Firms’ expectations for the year ahead and any resulting uncertainty about changes in their sales and prices.
  2. Employment and costs.
  3. Borrowing and capital expenditure.

All information collected from panel members is held in strictest confidence, and any published results will be aggregated so that individual responses cannot be inferred.

How will the Bank use the data?

The responses to the survey will help our Monetary Policy Committee to assess the prospects for the UK economy and the outlook for business, which will inform the committee’s interest rate decisions and other policymaking. 

You can read more about the Decision Maker Panel in the following Quarterly Bulletin article:

Evidence from the Decision Maker Panel - Tracking the views of British businesses

Excel Decision Maker Panel results - December 2017 

PDF Agents' summary of business conditions and results from the Decision Maker Panel 2017 Q4

Further information on the Decision Maker Panel

If you would like to know more, please email or call +44 (0) 203 461 3096.

This page was last updated 16 February 2018
Was this page useful?
Add your details...