Compendium of practices for equality data collection

The Compendium of Practices on Equality Data covers practices on different discrimination grounds and areas of life in which discrimination, inequality and exclusion can occur. The compendium is linked to the Guidelines on improving the collection and use of equality data and aims to provide inspiration and practical examples on how to implement them. Read more >>

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39 Promising Practices found

  • Maa:
    Italy
    Type:
    Institutional and structural guidelines, Foster inter-institutional cooperation, Operational guidelines, Ensure comprehensiveness, Enhance validity and reliability, Ensure representativeness
    Category:
    Gender identity, Sexual orientation, Includes multiple / intersectional discrimination
    In March 2018, the Italian National Institute of Statistics (ISTAT) and the National Anti-Discrimination Office (UNAR) signed an agreement to carry out comprehensive research project looking into discrimination against LGBT people as well as entrepreneurial diversity management policies in the area of employment. The project will strongly involve various LGBT stakeholders in the research design and planned respondent outreach activities and applies a multi-perspective and intersectional approach.
  • Maa:
    United Kingdom
    Type:
    Institutional and structural guidelines, Build institutional capacity, Facilitate effective use, Operational guidelines, Ensure comprehensiveness, Mainstream equality data
    Category:
    Disability, Includes multiple / intersectional discrimination
    In 2018, the UK Office for National Statistics (ONS) established a Census, Lifecourse and Disability team to address gaps in disability information. It links existing data sources and produces new pieces of work giving insight into disability statistics.
  • Erhebung von Antidiskriminierungsdaten in repräsentativen Wiederholungsbefragungen – Bestandsaufnahme und Entwicklungsmöglichkeiten
    Maa:
    Germany
    Type:
    Institutional and structural guidelines, Map existing sources
    Category:
    Age, Disability, Gender identity, Racial or ethnic origin, Religion or belief, Sex, Sexual orientation, All grounds / Cross-cutting, Includes multiple / intersectional discrimination
    The Federal Anti-Discrimination Agency (FADA) published a study in 2018 on the status of equality data in 20 large-scale, representative surveys in Germany. The aim was to produce a systematic overview of the questions, categories or variables relating to discrimination currently available in those surveys and to discuss ways to expand the collection of these data.
  • Maa:
    United Kingdom
    Type:
    Institutional and structural guidelines, Build institutional capacity, Operational guidelines, Ensure comprehensiveness, Mainstream equality data, Enhance validity and reliability, Ensure representativeness, Improve comparability
    Category:
    Gender identity
    In 2018, the UK Government Statistical Service and the Office for National Statistics initiated a project that aims to provide guidance across government to measure gender identity and increase the capacity to collect data and statistical literacy about gender identity.
  • Maa:
    Ireland
    Type:
    Institutional and structural guidelines, Map existing sources, Foster inter-institutional cooperation, Build up data hub, Build institutional capacity, Facilitate effective use, Operational guidelines, Ensure comprehensiveness, Mainstream equality data, Ensure regular and timely data collection, Enhance validity and reliability, Ensure representativeness, Improve comparability
    Category:
    Age, Disability, Gender identity, Racial or ethnic origin, Religion or belief, Sex, Sexual orientation, All grounds / Cross-cutting, Includes multiple / intersectional discrimination
    The Department of Justice and Equality of Ireland has developed a Data and Research Strategy 2018-2020 to facilitate better collaboration and information sharing with respect to equality data between the Department, its agencies and stakeholders, including the public.
  • Erhebung von subjektiven Diskriminierungserfahrungen in der SOEP-Innovations-Stichprobe
    Maa:
    Germany
    Type:
    Operational guidelines, Mainstream equality data, Ensure regular and timely data collection
    Category:
    Age, Disability, Gender identity, Racial or ethnic origin, Religion or belief, Sex, Sexual orientation, All grounds / Cross-cutting
    In 2015, the Federal Anti-Discrimination Agency of Germany (FADA) introduced two new questions into the innovation sample of the national Socio-Economic Panel (SOEP). It asked respondents whether they have experienced discrimination within the last two years and, if yes, the frequency of discrimination experienced in different areas of life.
  • Maa:
    Finland
    Type:
    Institutional and structural guidelines, Build up data hub, Facilitate effective use
    Category:
    Age, Disability, Gender identity, Racial or ethnic origin, Religion or belief, Sex, Sexual orientation, All grounds / Cross-cutting, Includes multiple / intersectional discrimination
    The Finnish Ministry of Justice has set up and is further developing a data hub on equality and discrimination. Recent research results, studies and statistics on discrimination in Finnish society are displayed on a website and structured according to grounds of discrimination/population group and areas of life covered.
  • Maa:
    Norway
    Type:
    Institutional and structural guidelines, Map existing sources, Foster inter-institutional cooperation, Build up data hub, Facilitate effective use
    Category:
    Disability, Gender identity, Racial or ethnic origin, Sexual orientation, Includes multiple / intersectional discrimination
    In 2013, the Norwegian Directorate for Children, Youth and Family Affairs started to develop a web-based data hub that systematises data on the living conditions and life situations of people with disabilities and makes them accessible to a wide audience. It was subsequently extended to also cover LGBTIQ people and work is currently ongoing to include data on ethnicity.
  • Datenbank der Gleichbehandlungsanwaltschaft
    Maa:
    Austria
    Type:
    Institutional and structural guidelines, Build institutional capacity, Operational guidelines, Ensure regular and timely data collection
    Category:
    Age, Disability, Gender identity, Racial or ethnic origin, Religion or belief, Sex, Sexual orientation, All grounds / Cross-cutting, Includes multiple / intersectional discrimination
    The Austrian Ombud for Equal Treatment (OET) introduced a new database in 2016. All requests filed with the OET, including discrimination complaints, are systematically recorded there. The database is used for monitoring and reporting. It also helps the OET develop strategic action plans.
  • Maa:
    United Kingdom
    Type:
    Institutional and structural guidelines, Facilitate effective use, Operational guidelines, Ensure comprehensiveness, Ensure representativeness, Improve comparability
    Category:
    Age, Disability, Gender identity, Racial or ethnic origin, Religion or belief, Sex, Sexual orientation, All grounds / Cross-cutting, Includes multiple / intersectional discrimination
    The British Equality and Human Rights Commission has conducted a representative survey that measures discrimination experiences of groups with protected characteristics and explores attitudes of the general public towards discrimination and equality issues in Britain. The results of the survey were first published in a report on 11 October 2018.