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Released on: 13 June 2024
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Statistical bulletin
Preliminary annual estimates of the national balance sheet, by type of financial and non-financial asset for the UK. Includes estimates of net capital stocks that are used in the production process and their loss of value over time.
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Released on: 10 May 2021
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Statistical bulletin
Membership and contributions to workplace pension arrangements for UK employees by type, age, industry, public and private sector, occupation, and size of company. Compiled from the Annual Survey of Hours and Earnings.
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Released on: 10 June 2016
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Statistical bulletin
Survival for people diagnosed by cancer type, split by stage at diagnosis. Data based on people diagnosed in England in 2012, 2013 and 2014. Produced in collaboration with Public Health England (PHE).
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Released on: 10 February 2022
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Dataset
Employment outcomes for disabled people in the UK aged 16 to 64 years, with analysis by age, sex, impairment type, country, region, type of occupation and working patterns using Annual Population Survey (APS) data.
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Released on: 23 January 2014
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Dataset
Local characteristics tables focusing on housing - these cross tabulations of two or more topics from the 2011 Census provide the greatest level of detail possible for local areas.
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Released on: 22 July 2022
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Dataset
Supporting data from the Labour Force Survey (LFS) on maternal and paternal employment, broken down by age, sex, number of dependent children, family type, skill level and employment type.
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Released on: 13 October 2023
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Dataset
Gypsy or Irish Traveller populations by highest qualification with age, sex and accommodation type breakdowns across different geographical areas.
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Released on: 17 March 2017
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Dataset
Median price of residential property sales in England by property type and English county.
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Released on: 17 March 2017
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Dataset
Number of residential property sales in England and Wales by property type and electoral ward.
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Released on: 22 July 2022
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Dataset
Supporting data from the Labour Force Survey (LFS) on maternal and paternal employment, broken down by age, sex, number of dependent children, family type, skill level and employment type.
