We would like to use cookies to collect information about how you use ons.gov.uk.
We use this information to make the website work as well as possible and improve our services.
You’ve accepted all cookies. You can change your cookie settings at any time. Hide
We moved them to The National Archives website, to keep this website as responsive as possible.
Please note: all historical data is still on this website.
Loading search results
Dewis pwnc arall neu clirio pob hidlydd.
Methodology and results of the small and large communal establishment (CE) estimation processes for Census 2021.
This article focusses on the challenges of measuring trade in services and some of the known reasons for and causes of the related asymmetries.
Methodology guidance on national and subnational mid-year population estimates for the UK and its constituent countries, which are broken down by administrative area, age, sex and components of population change.
Quality assurance (QA) assessment of the end-to-end processes in compiling Living Costs and Food (LCF) survey data.
Quality, methodology and comparability information for data used to calculate excess all-cause mortality for the UK, its constituent countries and European countries and their regions as reported in Comparisons of all-cause mortality between European countries and regions. Includes methodology for calculating measures of excess mortality, quality of the data sources, comparability of the measures and how to interpret the data.
Quality and Methodology Information (QMI) for admin-based income statistics in England and Wales, detailing the strengths and limitations of the data, methods used, and data uses and users.
Methodology for the coverage adjustment of Census 2021 in England and Wales.
How we checked and adjusted the estimates of the population for Census 2021 to improve their plausibility and consistency with other sources.
How the natural capital ecosystem service accounts are measured for the woodland habitat.
Matching Census 2021 to the Census Coverage Survey (CCS) using deterministic, probabilistic, associative, machine learning and clerical methods.
