Dataset: GDP by local authority
Gross domestic product (GDP) in current market prices and as chained volume measures, plus GDP per capita, for each local authority district, metropolitan district, London borough and Scottish Council area in the UK.
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Supporting information: table of contents
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In this dataset
Geography
- Hartlepool
- Middlesbrough
- Redcar and Cleveland
- Stockton-on-Tees
- Darlington
- Halton
- Warrington
- Blackburn with Darwen
- Blackpool
- Kingston upon Hull, City of
- East Riding of Yorkshire
- North East Lincolnshire
- North Lincolnshire
- York
- Derby
- Leicester
- Rutland
- Nottingham
- Herefordshire, County of
- Telford and Wrekin
- Stoke-on-Trent
- Bath and North East Somerset
- Bristol, City of
- North Somerset
- South Gloucestershire
- Plymouth
- Torbay
- Swindon
- Peterborough
- Luton
- Southend-on-Sea
- Thurrock
- Medway
- Bracknell Forest
- West Berkshire
- Reading
- Slough
- Windsor and Maidenhead
- Wokingham
- Milton Keynes
- Brighton and Hove
- Portsmouth
- Southampton
- Isle of Wight
- County Durham
- Cheshire East
- Cheshire West and Chester
- Shropshire
- Cornwall
- Isles of Scilly
Variables
- Gross domestic product at current market prices
- Gross domestic product chained volume measures annual growth rates
- Gross domestic product chained volume measures in 2018 money value
- Gross domestic product chained volume measures index
- Gross domestic product chained volume measures per head
- Gross domestic product chained volume measures per head annual growth rates
- Gross domestic product per head at current market prices
- Gross value added at current basic prices
- Other taxes on products
- Subsidies on products
- Value added tax on products
- Whole economy GVA implied deflators
Time
- All years between 1998 and 2019
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Quality and methodology information
Includes:
- Where the data comes from (source)
- The accuracy and reliability of the data
- The relevance of the data to certain applications or uses
- Things to consider when using the data
Read the full Quality and methodology information (QMI) for this dataset.
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