Return to 'UK gross value added (GVA) and productivity estimates for other geographies'
Provides files to download data as it existed for this dataset on previous dates.
Statistics are most often revised for 1 of 2 reasons:
- For certain statistics initial estimates are released with the expectation that these may be revised and updated as further data becomes available.
- Revisions may also be made when methods or systems are changed.
These types of planned revisions should not be confused with errors in released statistics, which are genuine mistakes. Such mistakes occur rarely and, when they do happen, corrections are made in a timely manner, announced and clearly explained to users in line with the Code of Practice for Official Statistics (Principle 2, Practice 7).
Latest version
xlsx (1.3 MB)Previous versions
| Superseded files | Reason for update | Date superseded |
|---|---|---|
| xlsx (1.3 MB) | Scheduled update/revision | 8 February 2022 08:27 |
Important notes and usage information
We have produced granular gross value added (GVA) data for Lower-layer Super Output Area (LSOA, in England and Wales), Data Zone (DZ, in Scotland) and Super Output Area (SOA, in Northern Ireland) levels, which we call "building blocks". These can be aggregated to build larger geographical areas for analysis and comparison and are consistent with our Regional economic activity by gross domestic product, UK release. This dataset contains aggregate estimates of GVA constructed from those building blocks.
We have included selected bespoke areas used in development of these data, to illustrate the flexibility of the building block method. We have also provided labour productivity estimates (GVA per job filled) for towns, cities, and travel to work areas that are consistent with our Regional and subregional labour productivity, UK bulletin.
In some cases, it has not been possible to perfectly match the boundaries of the area required. A "best fit" approach has been used to aggregate all the building blocks whose centroid lies within the target area.
For larger areas, the small inaccuracies balance out, leaving results that are mostly reliable. For smaller aggregate areas, such as wards, these approximations can result in significant GVA activity being assigned to the wrong ward. Because the results for wards are of low quality across the UK, we have not included them in this dataset.