Skip to main content
UCL Logo Navigate back to homepage

Main navigation

  • Home
  • Study

    Study

    • Study at UCL
    • Prospective students
    • Current students
    • Accommodation
    • Careers
    • Doctoral School
    • Immigration and visas
  • Research

    Research

    • Research at UCL
    • Engage with us
    • Explore our Research
    • Initiatives and networks
    • Research news
  • Engage

    Engage

    • Engage with UCL
    • Alumni
    • Business partnerships and collaboration
    • Global engagement
    • News and Media relations
    • Public Policy
    • Schools and priority groups
    • Give to UCL
  • About

    About

    • About UCL
    • Who we are
    • Faculties
    • Governance
    • President and Provost
    • Strategy
    • UCL's Bicentenary
  • UCL Logo Active parent page: UCL Bartlett Faculty of the Built Environment
    • Study
    • Active parent page: Research
    • Our schools and institutes
    • People
    • Ideas
    • Engage
    • News and Events
    • About

CASA Working Paper 116

The Cultural, Ethnic and Linguistic Classification of Populations and Neighbourhoods using Personal Names

Breadcrumb trail

  • UCL Bartlett Faculty of the Built Environment

Faculty menu

  • Research projects
  • Current page: Research publications
  • REF 2021
  • Ethics in the built environment
  • Impact at The Bartlett
  • UCL Royal Academy of Engineering, Centre of Excellence in Sustainable Building Design
  • The Building Envelope Research Network
  • UCL Circularity Hub

Breadcrumb trail

  • UCL Bartlett Faculty of the Built Environment
  • Research
  • CASA Working Paper 116

There are growing needs to understand the nature and detailed composition of ethnic groups in today’s increasingly multicultural societies. Ethnicity classifications are often hotly contested, but still greater problems arise from the quality and availability of classifications, with knock on consequences for our ability meaningfully to subdivide populations. Name analysis and classification has been proposed as one efficient method of achieving such subdivisions in the absence of ethnicity data, and may be especially pertinent to public health and demographic applications. However, previous approaches to name analysis have been designed to identify one or a small number of ethnic minorities, and not complete populations.

This working paper presents a new methodology to classify the UK population and neighbourhoods into groups of common origin using surnames and forenames. It proposes a new ontology of ethnicity that combines some of its multidimensional facets; language, religion, geographical region, and culture. It uses data collected at very fine temporal and spatial scales, and made available, subject to safeguards, at the level of the individual. Such individuals are classified into 185 independently assigned categories of Cultural Ethnic and Linguistic (CEL) groups, based on the probable origins of names. We include a justification for the need of classifying ethnicity, a proposed CEL taxonomy, a description of how the CEL classification was built and applied, a preliminary external validation, and some examples of current and potential applications.

This working paper is available as a PDF. The file size is 684KB.

Authors: Pablo Mateos, Paul Longley, Richard Webber

Publication Date: 1/3/2007

Download working paper No. 116.

UCL footer

Visit

  • Bloomsbury Theatre and Studio
  • Library, Museums and Collections
  • UCL Maps
  • UCL Shop
  • Contact UCL

Students

  • Accommodation
  • Current Students
  • Moodle
  • Students' Union

Staff

  • Inside UCL
  • Staff Intranet
  • Work at UCL
  • Human Resources
UCL Logo

University College London, Gower Street, London, WC1E 6BT

Tel: +44 (0) 20 7679 2000

UCL social media menu

  • Link to Instagram
  • Link to LinkedIn
  • Link to Youtube
  • Link to TikTok
  • Link to Facebook
  • Link to Bluesky
  • Link to Threads
  • Link to Soundcloud
Here, it can happen.
Back to top

Essential

  • Disclaimer
  • Freedom of Information
  • Accessibility
  • Cookies
  • Privacy
  • Slavery statement
  • Log in

© 2026 UCL