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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: 26 March 2025 | Methodology
Quality assurance (QA) assessment of all data sources used in the production of the Consumer Price Index including owner occupiers' housing costs (CPIH), to include the used cars data acquired from the “Autotrader Group".
Released on: 08 December 2023 | Corporate Information
In this working paper, we are testing how R-indicators and distance metrics can be applied to measure the representativeness of an administrative dataset.
Released on: 21 March 2019 | Methodology
Report to investigate the administrative data sources we use in the production of short-term economic output indicators.
Released on: 21 August 2023 | Corporate Information
Released on: 30 January 2023 | Corporate Information
Please note that these research outputs are NOT official statistics on household numbers. Rather they are outputs from continued research into a different methodology of producing estimates on the number of households. It is important that the information and research published as part of the publication is read alongside the outputs to aid interpretation and avoid misunderstanding. This is part of a series of Administrative Data Census Research Outputs the first which was published in October 2015.
Released on: 23 August 2017 | Methodology
Investigation of the administrative data sources used in the production of short-term economic output indicators by ONS's National Accounts and Economic Statistics Group.
Released on: 06 November 2017 | Corporate Information
Research to investigate the ability to produce estimates of ethnicity at local authority level for 2015 using the Generalised Structure Preserving Estimator approach.
Released on: 13 October 2023 | Corporate Information
Quality assurance of the administrative data used in the monthly production of the Price Index of Private Rents.
Released on: 21 April 2023 | Corporate Information
Theoretical overview providing error classifications and outlining possible ways to deal with errors when using administrative data for statistical purposes.
