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Children of the 2020s (COT20s)
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Sample details

The COT20s study aims to explore how children’s early life circumstances, home environments, and learning opportunities relate to their developmental and educational trajectories. Participants consist of children aged around 9 months old, born between September and November 2021, living in the United Kingdom (UK), and were recruited via linkage to the Child Benefits Register. In 2022, baseline interviews with primary and non-primary caregivers involved approximately 8,700 children. A second wave, conducted in 2023, has also been completed. Wave 3 is in progress, with two further waves planned to be completed in 2025 and 2026.

Study design
Cohort, Cohort - birth

Number of participants at first data collection

8,733 (participants)

Age at first data collection

9 months (participants)

Participant year of birth

2021 (participants)

Participant sex
All

Representative sample at baseline?
The population of families on the Child Benefits Register, living in the United Kingdom (UK), with a child approximately 9 months old.

Sample features

Children and young people
Nationally representative
Newborns, infants and babies
Dataset details

Country

England

Year of first data collection

2022

Primary Institutions

University College London (UCL)

Links

children2020s.ipsos.com/

cls.ucl.ac.uk/cls-studies/children-of-the-2020s-study/

assets.publishing.service.gov.uk/media/65671ebdd6ad75000d02fc89/Children_of_the_2020s_technical_report.pdf

cls.ucl.ac.uk/new-data-release-children-of-the-2020s-study-wave-1/

Funders

Department for Education (DfE)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Audio or visual recordings (e.g. of child behaviour, facial expressions)
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Interview – online
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Education data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    COVID-19
    Child outcomes
    Childcare
    Educational experiences
    Family environment and factors
    Health and wellbeing
    Infancy and early childhood
    Infant outcomes
    Language development
    Learning
    Mobile apps
    Paediatric development
    Parental influences
    Work and employment
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