Barnet 004A: NS-SeC
Location Type: Lower layer Super Output Areas, ONS Geographic Code: E01000285
Barnet 004A added to comparison list.
Key Facts
All Residents | 1,513 |
Male | 713 |
Female | 802 |
Households | 611 |
Population Density (people/km2) | 7,486.4 |
-
Related Census Areas
Is within
Borders with
Overlaps with
No equivalent overlapping areas found
Contains
Table Code | ts062 |
Issued | 2022-12-08 |
Unit of Measure | Person |
Number of Response Options | 10 |
This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by National Statistics Socio-economic Classification (NS-SEC). The estimates are as at Census Day, 21 March 2021.
Summary
The National Statistics Socio-economic Classification (NS-SEC) indicates a person's socio-economic position based on their occupation and other job characteristics.
It is an Office for National Statistics standard classification. NS-SEC categories are assigned based on a person's occupation, whether employed, self-employed, or supervising other employees.
Full-time students are recorded in the "full-time students" category regardless of whether they are economically active.
Quality Statement
As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes.
Read more in our Labour market quality information for Census 2021 methodology.
National Statistics Socio-economic Classification (NS-SEC): Total: All usual residents aged 16 years and over | 1,205 |
---|---|
L1, L2 and L3 Higher managerial, administrative and professional occupations | 214 |
L4, L5 and L6 Lower managerial, administrative and professional occupations | 280 |
L7 Intermediate occupations | 138 |
L8 and L9 Small employers and own account workers | 134 |
L10 and L11 Lower supervisory and technical occupations | 47 |
L12 Semi-routine occupations | 118 |
L13 Routine occupations | 92 |
L14.1 and L14.2 Never worked and long-term unemployed | 114 |
L15 Full-time students | 68 |
Bar chart not showing properly? Data with large numbers of options really needs a wider screen. Try rotating your fondleslab into landscape mode and refreshing the page.