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Not all census content has been released. Check for upcoming releases in the release calendar. Alternatively, you can create a custom dataset.
Released on: 18 December 2014 | Dataset
Experimental statistics of annual estimates of regional GVA(P) NUTS2 CVM (2011 = 100), current price GVA(P) at NUTS2, and comparison of GVA(I) and GVA(P) current price estimates at NUTS2.
Released on: 31 July 2017 | Dataset
Presents experimental price indices that are constructed from web scraped clothing data. These are early analysis using experimental techniques to help us develop our statistical methodology and are not comparable with headline estimates of inflation. We would strongly caution against their use in economic modelling and analysis.
Released on: 29 January 2018 | Article
Released on: 23 January 2025 | Dataset
Data tables containing indicative research consumer price inflation (CPI) estimates at consumption segment level from using alternative grocery scanner data.
Released on: 15 May 2023 | Dataset
Data on qualifications by country of birth as reported in Census 2021, including breakdowns by local authority.
Released on: 07 December 2020 | Dataset
Annual balance sheet data published alongside the experimental UK financial accounts flow of funds matrices. These new data are experimental statistics and should not be used in place of the regularly published official statistics.
Released on: 28 November 2017 | Dataset
Open data for Northern Ireland extra variant projections. Single year of age and sex with underlying data.
Released on: 21 February 2020 | Article
Released on: 08 August 2016 | Dataset
These experimental statistics are estimates of the levels (balance sheets) of financial assets by institutional sector, together with the counterparty sector holding the liability. These estimates therefore represent whom-to-whom matrices for financial instruments for the UK. The estimates are quarterly, for the time period Quarter 1 1997 to Quarter 4 2015.
Open data for UK extra variant projections. Single year of age and sex with underlying data.