Economically active -
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All people - Economically active - Unemployed (London)


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constituency
numbers % Sort
Barking # #
Lewisham, Deptford # #
Lewisham West and Penge ! !
Lewisham East # #
Kingston and Surbiton # #
Kensington # #
Islington South and Finsbury # #
Leyton and Wanstead ! !
Islington North # #
Ilford North ! !
Hornsey and Wood Green ! !
Hornchurch and Upminster ! !
Holborn and St Pancras # #
Hendon ! !
Hayes and Harlington ! !
Ilford South # #
Mitcham and Morden ! !
Old Bexley and Sidcup # #
Orpington ! !
Westminster North # #
West Ham # #
Walthamstow ! !
Vauxhall # #
Uxbridge and South Ruislip # #
Twickenham # #
Tottenham # #
Tooting ! !
Sutton and Cheam # #
Streatham ! !
Ruislip, Northwood and Pinner ! !
Romford ! !
Richmond Park # #
Putney # #
Poplar and Limehouse # #
Harrow West # #
Harrow East ! !
Hampstead and Kilburn # #
Hammersmith # #
Cities of London and Westminster ! !
Chipping Barnet # #
Chingford and Woodford Green ! !
Chelsea and Fulham ! !
Carshalton and Wallington ! !
Camberwell and Peckham ! !
Bromley and Chislehurst # #
Brentford and Isleworth ! !
Brent North ! !
Brent Central ! !
Bexleyheath and Crayford # #
Bethnal Green and Bow ! !
Bermondsey and Old Southwark # #
Beckenham # #
Battersea ! !
Croydon Central # #
Wimbledon # #
Croydon North # #
Dagenham and Rainham ! !
Hackney South and Shoreditch # #
Hackney North and Stoke Newington ! !
Greenwich and Woolwich ! !
Finchley and Golders Green ! !
Feltham and Heston ! !
Erith and Thamesmead # #
Enfield, Southgate ! !
Enfield North ! !
Eltham ! !
Edmonton ! !
East Ham ! !
Ealing, Southall ! !
Ealing North ! !
Ealing Central and Acton # #
Dulwich and West Norwood ! !
Croydon South ! !
Source: ONS annual population survey [Jan 2023-Dec 2023]

!   Estimate is not available since sample size is disclosive (see definitions)
Note:   numbers and % are for those aged 16 and over. % is a proportion of economically active

Definitions and Explanations

Labour Supply

Labour supply consists of people who are employed, as well as those people defined as unemployed or economically inactive, who can be considered to be potential labour supply. Information in this section relates to the characteristics of people living in an area.

Most labour supply data comes from the Annual Population Survey (APS). The APS is the largest regular household survey in the United Kingdom. It includes data from the Labour Force Survey (LFS), plus further sample boosts in England, Wales and Scotland. The survey includes data from a sample of around 256,000 people aged 16 and over.

As APS estimates are based on samples, they are subject to sampling variability. This means that if another sample for the same period were drawn, a different estimate might be produced. In general, the larger the number of people in a sample, the smaller the variation between estimates. Estimates for smaller areas such as local authorities are therefore less reliable than those for larger areas such as regions. When the sample size is too small to produce reliable estimates, the estimates are replaced with a #.

Economically Active
Economically active
People who are either in employment or unemployed.
Economic activity rate
People, who are economically active, expressed as a percentage of all people.
In employment
People who did some paid work in the reference week (whether as an employee or self employed); those who had a job that they were temporarily away from (eg, on holiday); those on government-supported training and employment programmes; and those doing unpaid family work.
Employment rate
The number of people in employment expressed as a percentage of all people aged 16-64.
Employees and self employed
The division between employees and self employed is based on survey respondents' own assessment of their employment status. The percentage show the number in each category as a percentage of all people aged 16-64. The sum of employees and self employed will not equal the in employment figure due to the inclusion of those on government-supported training and employment programmes, and those doing unpaid family work in the latter.
Unemployed
Refers to people without a job who were available to start work in the two weeks following their interview and who had either looked for work in the four weeks prior to interview or were waiting to start a job they had already obtained.
Unemployed
Refers to people without a job who were available to start work in the two weeks following their interview and who had either looked for work in the four weeks prior to interview or were waiting to start a job they had already obtained.
Model-based unemployed:
As unemployed form a small percentage of the population, the APS unemployed estimates within local authorities are based on very small samples so for many areas would be unreliable. To overcome this ONS has developed a statistical model that provides better estimates of total unemployed for unitary authorities and local authority districts (unemployment estimates for counties are direct survey estimates). Model-based estimates are not produced for male or female unemployed.
The model-based estimate improves on the APS estimate by borrowing strength from the Claimant Count to produce an estimate that is more precise (i.e. has a smaller confidence interval). The number of people measured by the Claimant Count is not itself a measure of unemployment but is strongly correlated with unemployment, and, as it is an administrative count, is known without sampling error. The gain in precision is greatest for areas with smaller sample sizes.
Unemployment rate
Unemployed as a percentage of the economically active population.
Economically inactive
People who are neither in employment nor unemployed. This group includes, for example, all those who were looking after a home or retired.
Occupation
Occupations are classified according to the Standard Occupation Classification 2010. Descriptions of the job titles included in each code are available in the SOC manuals.
Qualifications

Qualifications data are only be available from the APS for calendar year periods, for example, Jan to Dec 2005. The variables show the total number of people who are qualified at a particular level and above, so data in this table are not additive. Separate figures for each NVQ level are available in the full Annual Population Survey data set (wizard/advanced query).

The trade apprenticeships are split 50/50 between NVQ level 2 and 3. This follows ONS policy for presenting qualifications data in publications. Separate counts for trade apprenticeships can be obtained from the full APS data set (wizard/advanced query).

No qualifications
No formal qualifications held.
Other qualifications
includes foreign qualifications and some professional qualifications.
NVQ 1 equivalent
e.g. fewer than 5 GCSEs at grades A-C, foundation GNVQ, NVQ 1, intermediate 1 national qualification (Scotland) or equivalent.
NVQ 2 equivalent
e.g. 5 or more GCSEs at grades A-C, intermediate GNVQ, NVQ 2, intermediate 2 national qualification (Scotland) or equivalent.
NVQ 3 equivalent
e.g. 2 or more A levels, advanced GNVQ, NVQ 3, 2 or more higher or advanced higher national qualifications (Scotland) or equivalent.
NVQ 4 equivalent and above
e.g. HND, Degree and Higher Degree level qualifications or equivalent.
Earnings by Residence

The figures show the median earnings in pounds for employees living in the area who are on adults rates of pay and whose pay was not affected by absence. Figures for earnings come from the Annual Survey of Hours and Earnings (ASHE). The ASHE is based on a 1 per cent sample of employees, information on whose earnings and hours is obtained from employers. The survey does not cover self-employed. Information relates to a pay period in April.

The earnings information collected relates to gross pay before tax, national insurance or other deductions, and excludes payments in kind. It is restricted to earnings relating to the survey pay period and so excludes payments of arrears from another period made during the survey period; any payments due as a result of a pay settlement but not yet paid at the time of the survey will also be excluded.


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Source: Office for National Statistics

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