A7 National time series of children in need by gender, age and ethnicity
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Children in need by gender, age and ethnicity.
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Data set details
- Theme
- Children's social care
- Publication
- Children in need
- Release
- Reporting year 2022
- Release type
- Geographic levels
- National
- Indicators
- Number
- Percentage
- Filters
- Characteristic type
- Time period
- 2015 to 2022
Data set preview
| time_period | time_identifier | geographic_level | country_code | country_name | category | characteristic | characteristic_type | number | percent |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | Reporting year | National | E92000001 | England | Children in Need at 31 March | Total | Total | 404310 | 100 |
| 2022 | Reporting year | National | E92000001 | England | Children in Need at 31 March | Gender | Female | 178980 | 44.3 |
| 2022 | Reporting year | National | E92000001 | England | Children in Need at 31 March | Gender | Male | 216930 | 53.7 |
| 2022 | Reporting year | National | E92000001 | England | Children in Need at 31 March | Gender | Unknown or Indeterminate gender | 1100 | 0.3 |
| 2022 | Reporting year | National | E92000001 | England | Children in Need at 31 March | Unborn | Unborn | 7300 | 1.8 |
Variables in this data set
| Variable name | Variable description |
|---|---|
| characteristic_type | Characteristic type |
| number | Number |
| percent | Percentage |
Footnotes
- Data for the years ending 31 March 2021 and 2022 is not available for Hackney local authority, therefore 2020 data for Hackney has been included in 2021 and 2022 national totals, and regional totals for inner London and London. Refer to the methodology section for more information.
- Asian or Asian British comprises Indian, Pakistani, Bangladeshi, Chinese and any other Asian background.
- White comprises white British, white Irish, traveller of Irish heritage, Gypsy/Roma and any other white background.
- Black or black British comprises Caribbean, African and any other black background.
- Mixed comprises white and black Caribbean, white and black African, white and Asian and any other mixed background.
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