Two New Regional GVA(I) Datasets Available
Regional GVA(I) has been published on NOMIS for the first time. The series contains figures for 1997-2015 and will be updated annually.
Data are available by component and industry (with some limitations) for countries, regions, local authorities, LEPs, combined authorities and NUTS levels 1 to 3.
Two datasets are available in a new Regioanal Accounts folder using the Query Data tool:
- Regional gross value added (income approach) at current basic prices
Includes total GVA and GVA per head measures.
- Regional gross value added (income approach) at current basic prices by industry
For total GVA includes breakdowns by the components of GVA and by industry. GVA per head is not available from this dataset.
Gross value added (GVA) is a measure of the increase in the value of the economy due to the production of goods and services. It is measured at current basic prices, which include the effect of inflation, excluding taxes (less subsidies) on products (for example, Value Added Tax). GVA plus taxes (less subsidies) on products is equivalent to gross domestic product (GDP).
The GVA(I) estimates presented here are on a workplace basis (allocated to the location where the economic activity takes place).
GVA(I) per head of population is a useful way of comparing regions of different size and is an important indicator for both domestic and European policy purposes. Total GVA(I) estimates in millions of pounds (£m) are divided by the total resident population of a region (including the economically inactive) to give GVA per head in pounds (£).
While GVA(I) per head can be a useful way of comparing regions of different size, comparisons can be affected by commuting flows into or out of the region. Small areas, such as local authorities, can be subject to very large distortions and this should be borne in mind when interpreting the statistics as an indicator of relative economic prosperity. GVA per head is not a measure of productivity.
For more information about this dataset please contact:
Office for National Statistics
email@example.com +44(0) 1633 456878