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Rhyddhawyd ar: 06 November 2013
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Bwletin ystadegol
Predicted changes in the size and age structure of the UK population based on a set of assumptions about future fertility, mortality and migration, including a number of variant projections based on alternative scenarios.
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Rhyddhawyd ar: 28 January 2025
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Bwletin ystadegol
The potential future population size of the UK and its constituent countries. These statistics are widely used in planning, including fiscal projections, health, education and pensions.
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Rhyddhawyd ar: 11 June 2025
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Setiau data
Exporters and importers of goods and services in Great Britain by employment size and turnover size.
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Rhyddhawyd ar: 01 June 2023
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Bwletin ystadegol
Expenditure on energy, goods and services used as inputs to UK business processes – intermediate consumption – by product type and industry. Estimates from the Annual Purchases Survey 2021.
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Rhyddhawyd ar: 02 November 2018
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Setiau data
Results of a statistical modelling known as the quantile regression approach which explores the compositional effects of employee groups.
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Rhyddhawyd ar: 25 September 2021
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Setiau data
UK residents by broad country of birth and citizenship groups, broken down by UK country, local authority, unitary authority, metropolitan and London boroughs, and counties. Estimates from the Annual Population Survey.
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Rhyddhawyd ar: 24 March 2020
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Bwletin ystadegol
Indicate potential future population size of English local and health authorities. Widely used in planning – for example labour market, housing, health and education.
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Rhyddhawyd ar: 29 May 2014
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Bwletin ystadegol
Indication of the future size and age structure of the population in the regions, local authorities, clinical commissioning groups and NHS regions of England.
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Rhyddhawyd ar: 21 March 2012
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Bwletin ystadegol
Indication of the future size and age structure of the population in the regions, local authorities, clinical commissioning groups and NHS regions of England.
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Rhyddhawyd ar: 02 November 2018
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Setiau data
Results of a statistical modelling known as a linear regression approach which explores the compositional effects of employee groups.