Summary information

Study title

Evidence for Equality National Survey: a Survey of Ethnic Minorities During the COVID-19 Pandemic, 2021

Creator

Finney, N., University of St Andrews, Department of Geography and Sustainable Development
Nazroo, J., University of Manchester, School of Social Sciences, Sociology
Shlomo, N., University of Manchester, School of Social Sciences
Kapadia, D., University of Manchester, School of Social Sciences, Sociology
Becares, L., King's College London
Byrne, B., University of Manchester, Department of Sociology

Study number / PID

9116 (UKDA)

10.5255/UKDA-SN-9116-1 (DOI)

Data access

Restricted

Series

Not available

Abstract

Abstract copyright UK Data Service and data collection copyright owner.The Centre on the Dynamics of Ethnicity (CoDE), led by the University of Manchester with the Universities of St Andrews, Sussex, Glasgow, Edinburgh, LSE, Goldsmiths, King's College London and Manchester Metropolitan University, designed and carried out the Evidence for Equality National Survey (EVENS), with Ipsos as the survey partner. EVENS documents the lives of ethnic and religious minorities in Britain during the coronavirus pandemic and is, to date, the largest and most comprehensive survey to do so.EVENS used online and telephone survey modes, multiple languages, and a suite of recruitment strategies to reach the target audience. Words of Colour coordinated the recruitment strategies to direct participants to the survey, and partnerships with 13 voluntary, community and social enterprise (VCSE) organisations[1] helped to recruit participants for the survey.The ambition of EVENS was to better represent ethnic and religious minorities compared to existing data sources regarding the range and diversity of represented minority population groups and the topic coverage. Thus, the EVENS survey used an 'open' survey approach, which requires participants to opt-in to the survey instead of probability-based approaches that invite individuals to participate following their identification within a pre-defined sampling frame. This 'open' approach sought to overcome some of the limitations of probability-based methods in order to reach a large number and diverse mix of people from religious and ethnic minorities.EVENS included a wide range of research and policy questions, including education, employment and economic well-being, housing, social, cultural and political participation, health, and experiences of racism and discrimination, particularly with respect to the impact of the COVID-19 pandemic. Crucially, EVENS covered a full range of racial, ethnic and religious groups, including those often...
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Methodology

Data collection period

16/02/2021 - 13/08/2021

Country

Great Britain

Time dimension

Cross-sectional (one-time) study

Analysis unit

Individuals
National

Universe

The dataset contains information on 14,215 participants, including 9,702 ethnic minority participants and 4,513 general population sample. Ethnicities of ethnic minority participants include Asian (Bangladeshi, Chinese, Indian, Pakistani, Any other Asian background), Black (African, Caribbean, Any other Black/African/Caribbean), Mixed (White and Asian, White and Black African, White and Black Caribbean, Any other mixed/multiple backgrounds), White (Eastern European, Gypsy/Traveller, Irish, Roma, Any other white background), Other (Arab, Any other ethnic group), and Jewish. The general population sample comprises White English, Welsh, Scottish, Northern Irish, and British.

Sampling procedure

A number of different methods were used to recruit participants. See documentation for details.

Kind of data

Numeric

Data collection mode

Web-based interview
Telephone interview: Computer-assisted (CATI)

Funding information

Grant number

ES/W000849/1

Grant number

ES/V013475/1

Access

Publisher

UK Data Service

Publication year

2023

Terms of data access

The Data Collection is available to UK Data Service registered users subject to the End User Licence Agreement.

Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.