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The administrative data sources that were used in the statistical design for Census 2021, with information on their coverage, accuracy, and timeliness.
Developments in producing mid-2021 population estimates rolled forward from Census 2021, by local authority district, age, and sex. Includes method changes needed to roll forward the three months from Census Day to mid-year and discusses our ongoing challenges.
Interactive tool to help local authorities compare age-sex estimates and comparator data from Census 2021 to other areas within England and Wales.
User guidance on continuing to use the 2018-based subnational population projections (SNPPs) in the absence of 2020-based SNPPs. Links to information about the uncertainty of the mid-2020 population estimates and an outline of our plans for the integration of Census 2021 data into future SNPPs.
Further research demonstrating the improved potential of Valuation Office Agency (VOA) data to provide detailed information on accommodation type, and examining how VOA data compares with the 2011 Census data, and a request for feedback on the usefulness of these statistics.
Early research demonstrating the potential of Valuation Office Agency data to provide detailed information on property type, how it compares to 2011 Census accommodation type, and a request for feedback on the usefulness of these statistics.
Methodology for national population estimates broken down into small geographical areas – Super Output Areas, health geographies, electoral wards, Parliamentary constituencies and National Parks.
Summary of the quality assurance undertaken on administrative data for Valuation Office Agency property attribute data used in Census 2021.
Research Outputs of the feasibility study that links the All Education Dataset for England (AEDE) to the 2011 Census. The new de-identified Growing up in England (GUIE) dataset will enable research into the link between family household composition and educational attainment.
A method developed in academia in 2010 is used which combines parameter estimates from a multilevel model fitted to the Family Resources Survey (FRS) with household-level Census data.
