Blue Book 2026: industry impact analysis
Additional Blue Book 2026 analysis setting out industry-level impacts from National Accounts methodological changes and new survey and administrative sources, showing how GDP by industry is revised and why.
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Additional Blue Book 2026 analysis setting out industry-level impacts from National Accounts methodological changes and new survey and administrative sources, showing how GDP by industry is revised and why.
Explains how data centres are treated in the UK National Accounts, outlines which data sources feed those estimates, and situates the work within a wider ONS series on the digital economy and development of an AI thematic account.
Provides UK trade in goods data for 2016–2024 with breakdowns by industry (SIC), EU vs non‑EU, business size and domestic/foreign ownership, enabling analysis of which firms drive imports and exports.
Explains how data centres are recorded and influence the UK National Accounts, as part of an ONS series on the digital economy and digital infrastructure measurement.
Tables present numbers of online job adverts by local authority and occupation (SOC 2020), covering labour demand volumes in the UK from January 2017 through July 2026, enabling sub‑national and occupation‑level analysis.
A random sample of 10,000 webpages from July 2026 finds about 10% show signs of being written or substantially edited by AI, indicating notable AI-generated presence across the observable web.
Explains how individuals can access their own or someone else’s medical records, the legal routes for requests, timeframes, exemptions and what to do if access is refused or records are inaccurate.
A quality report outlining the methodology, accuracy and limitations of statistics on HMRC receipts, explaining data sources, revisions policy and measures of reliability for users of tax receipt statistics.
Explains the sampling approach using Common Crawl web-archive data—monthly ‘crawls’ of the observable internet—to estimate prevalence of AI-authored content and underpin the study’s webpage sample and analysis.
Statistics are published on active disease surveillance for transmissible spongiform encephalopathies (TSEs), including the Compulsory Scrapie Flock Scheme, covering monitoring and surveillance data for affected animals.
Full Fact finds a circulated video of the recent Indonesian earthquake includes older clips from Taiwan and the Philippines, demonstrating how unrelated footage is reused in social posts and the need for source verification after disasters.
Full Fact repeats verification of a viral clip claimed to show reactions to the 15 August Indonesian quake, confirming the footage was actually from a 2025 Philippines earthquake and warning against misattributed disaster videos.
Factcheck: Starbucks did not pledge in 2017 to hire 10,000 Muslims; the public commitment was to hire 10,000 refugees globally, a claim now being misattributed and reframed on social media.
Pew Research Center has issued an erratum to its Spring 2024 survey data, signalling corrections to previously released survey figures.
Methodology note for Pew Research Center’s Spring 2026 Global Attitudes Survey outlining face‑to‑face interview fieldwork by Gallup and Langer Research Associates, national sample designs and country‑specific sampling details.
Describes Pew Research Center’s American Trends Panel Wave 196 methodology: fieldwork ran 6–12 July 2026 with 3,554 respondents out of 4,173 sampled for this nationally representative US adults survey.
Green notice 2026/02 sets out significant proposed changes to Bank of England reporting; any proposals finalised for implementation will later be published as statistical notices.
Supplementary report section providing additional charts and visual data accompanying the main Pew Research Center analysis.
Lists the research, communications and editorial teams credited for producing the Pew Research Center report, naming directors, senior researchers and analysts involved.
A short video explains polling precision and the ‘margin of error’, showing even top pollsters need to allow a range around reported results because samples and methodology introduce uncertainty.