EconData.uk is a one-stop website for a wide range of economic data. It brings together publicly-available data series on variables such as the government budget deficit, the national debt, real wages, income inequality and house prices – variables that were the subject of much debate in the UK General Election campaign and which can be difficult to locate in government and international agency websites.
Econdata.uk is politically independent and completely free. Its aim is to make it easier for visitors to the website to make up their own minds about how the UK economy in particular has been performing in recent years. For those interested in following more politically-committed positions, there are links in the side panel to economics blogs of varying political hues.
The focus is on the UK but many related data series on other countries are also included.
On this website you’ll find:
- simple explanations of the economic concepts the data series cover, many with accompanying graphs
- downloadable data files, together with information about the source(s)
- our own commentary discussing recent and/or historical movements in selected series
‘Helicopter Money’ is the name given to a policy designed to stimulate demand in an economy when more conventional monetary and fiscal policies have failed or been ruled out. This page explains how it works.
‘Austerity’ is the term given to a set of fiscal measures required of many countries in the Euro area, especially Greece, Ireland, Portugal and Spain. For this reason we have devoted a separate page to it in the Economic Policy section of the site. We examine the evidence for and against the case for austerity using data from these four Euro-area countries.
We maintain an up-to-date version of each data set, including the very latest revisions.
The graphs on this site are based on Google Spreadsheets and are created at run-time – so don’t be surprised if there is a little delay in their formation. By hovering over the lines or bars on the graph, you can see the values of the data points.