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Office for National Statistics - London's Jobs History
A London series by industry and a borough series (no industry) 1984 to 2011. These data have been used by GLA Economics to forecast long-term employment projections and within GLA Economics' models for exports, tourism and life sciences. The two series are: 1. London Employment Jobs: a London level series which includes Employee Jobs and Self-Employment Jobs from 1984 to 2010 with industries by GLA Economics sectors on a SIC 2007 basis 2. A borough level Employee Jobs series 1984 to 2010 (no industry breakdown) Methods and assumptions behind the data are explained in the GLA Economics Working Paper 52 _Data Download_ Sector data Borough data _Notes_ Borough Data Source: ONS Employee Jobs, ONS Business Surveys, GLA Economics assuptions Data are for employees and do not include self-employment jobs Data are adjusted for series discontinuities only - no additional corrections have been made 1998 data for Richmond and 2000 data for Greenwhich where employee increases are high have not been adjusted Sector Data Source: ONS Employee Jobs, LFS, GLA Economics assuptions 2010 data are provisional Data include employees and self-employment jobs Edit Workforce Sector Data from nomis - updated to Dec-2011 _ _
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Greater London Authority - London Long Term Labour Market Projections
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GLA Economics produces long-term employment projections for London by sector and by borough. The methodology in the accompanying report explains the approach adopted. Links to the 2022 employment projections (latest, interim update) Borough projections Sector projections London labour market projections report Links to previous employment projections Provided below are links to the previous versions of GLA Economics’ employment projections, with breakdowns of the numbers (historic and projected) available by sector and by local authority. 2017 Borough projections, 1971-2050 Sector projections, 1971-2050 London projections of scenarios London labour market projections report 2016 Borough Projections, 1971-2041 Sector Projections, 1971-2041 London labour market projections report 2015 Borough [trend-based only], 1981-2036 Sector, 1984-2036 Working paper 67 2013 Borough, 1984-2036 Sector, 1984-2036 London labour market projections report 2011 Borough [trend-based only, data excludes self-employed], 1981-2036 Sector, 1984-2036 Working paper 51 2009 Borough, 2011-2036 Sector [based on SIC 1992], 1971-2031 Working paper 38
GLA Economics - London's sectors - More Detailed Jobs
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More Detailed Jobs This dataset provides estimates of employee jobs in London down to 4-digit Standard Industry Classification level, from 1998 to 2022. The latest release was in July 2024 - see the related blog post. Estimates are based on Business Register and Employment Survey (BRES) and Workforce Jobs (WFJ) data published by the Office for National Statistics (ONS). The underlying assumptions are outlined in the methodology paper published alongside these data tables. Note that the 2014 and 2015 updates were republished (in March 2018) following additional disclosure checking.
Office for National Statistics - Employment by Occupation Type and Gender, Borough
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Employment rates broken down by major occupation group and gender. The data are taken from the Annual Population Survey (APS), produced by the Office for National Statistics. 95% confidence intervals are included. Numbers are rounded to the nearest hundred. 18/03/2015 Data has been reweighted in line with the latest ONS estimates. Includes Major Occupation groups: 1: managers and senior officials 2: professional occupations 3: associate prof & tech occupations 4: administrative and secretarial occupations 5: skilled trades occupations 6: personal service occupations 7: sales and customer service occupations 8: process, plant and machine operatives 9: elementary occupations The relationship between Standard Occupational Classification 2010 and Standard Occupational Classification 2020 info here.
Office for National Statistics - Employment by Industry, Borough
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Employment rates for those aged 16+ broken down by industrial classification. The data are taken from the Annual Population Survey (APS) produced by the Office for National Statistics. Includes the Major Industry Classes: Agriculture and fishing, Energy and water, Manufacturing, Construction, Distribution, hotels and restaurants, Transport and communications, Banking, finance and insurance, Public admin. education and health, Other services Includes all people in employment, regardless of age 18/03/2015 Data has been reweighted in line with the latest ONS estimates.
Office for National Statistics - Employment by Self-Employed, Full time and Part time and Gender, Borough
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Employment rates broken down by whether self-employed and whether full or part-time. Data in this set are also broken down by gender. The data are taken from the Annual Population Survey (APS), produced by the Office for National Statistics.
Office for National Statistics - Employment by Self-Employed, Full time and Part time and Gender, Borough
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Employment rates broken down by whether self-employed and whether full or part-time. Data in this set are also broken down by gender. The data are taken from the Annual Population Survey (APS), produced by the Office for National Statistics.
Office for National Statistics - Hours Worked
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Estimates of the number of hours worked per week by those in employment. Data are broken down by banded durations and gender. Data are taken from the Annual Population Survey, produced by the Office for National Statistics.
Office for National Statistics - London Labour Market Flows
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This analysis uses longitudinal data from the Labour Force Survey (LFS) to show the movement, or flow, between employment, unemployment and inactivity from one quarter to the next. These flows show the underlying movements which sit behind published headline labour market rates which, in contrast, take a snapshot of the Labour Market at a point in time. Flows are also used to calculate the probability that an individual will change labour market status over the quarter.
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