CHLDRN – Local and national data on childhood vulnerability
Childhood Local Data on Risks and Needs (CHLDRN) provides the most complete picture of the numbers of children at risk in England, at both a national and local level. It makes available over 100 indicators across different age ranges and types of risk, and allows you to explore how these vary across England.
Our aim is to make this data accessible so it can be used and visualised by national and local policy makers, researchers, journalists and analysts.
About the data
The basis for this app is the Children’s Commissioner’s work on childhood vulnerability, which gathers all available information on the full range of risks and disadvantages faced by children.
Some of the key groups covered in CHLDRN are:
- Children in households where a parent is suffering from domestic abuse, severe mental health problems or substance addiction
- Children in gangs
- Children suffering from educational disadvantage and those outside mainstream education
- Children in poverty
- Children known to children’s services
- Children with caring responsibilities
- Children with special educational needs or disabilities
Indicators for these groups are available at both a national and upper-tier local authority level. We are exploring how to produce this data at other geographic levels, including local authority districts and Parliamentary constituencies.
Most of the data comes from published official statistics, but in some cases we add more data which we have collected or produced ourselves. Full source information, including the date, for each indicator is provided within the app. Please note this application is not being regularly updated and was last updated on March 15, 2021.
We are continually developing this app and adding features. Proposed additions for future versions already include:
- Data available at different and lower level geographies
- Time series data to allow analysis of trends
- Data split by children’s other demographic characteristics
If you have further comments or suggestions for how it can be improved please contact our Research and Evidence team.