GLA Economics has produced a report ‘Monitoring the employment impact of mayoral programmes and initiatives’. The analysis allows us to estimate the number of jobs associated with GLA Group-led activity from the start of the Mayoral term (2016). The data available to download here shows gross jobs by job type, programme and policy area. Please note the report was amended on 18 May 2023 to reflect more up-to-date figures on the number of affordable home starts from the Affordable Housing Programme. This update reflects a change from 96,360 homes in December 2022 to 116,782 homes, as of March 2023. In addition, some terminology in the report was changed to specify clearly that the estimate provided is based on housing starts.

This page presents analysis and data related to skills and employment in London Note on data sources and interpretation: The analysis is not intended to be comprehensive or exhaustive. It is a snapshot analysis of key data as it pertains to London. The analysis does not represent the full body of evidence on which Mayoral Policies are, or will be, based. Outputs should be triangulated with other sources of information and analysis to develop a rounded statistical picture of specific policy issues.

•GLA Economics has produced long-run projections of London’s employment since 2002. These projections are trend based and set out the long run path of employment considered most likely based on the historic data available at the time of construction. These are used within the GLA for planning to provide capacity to accommodate the longer-terms needs of the London economy. Given their importance to GLA policy planning, this note looks at how the GLA Economics’ employment projections have performed since 2002 and how this compares to projections from some other respected organisations. •Although GLA Economics’ employment projections are consistently below outturn, much of this is the result of upward revisions to historic employment data (which underpin the projections model). Further, the projections perform relatively well when looking at the projected annual growth rate and average annual error in relation to outturn, with the accuracy of the projections generally improving the longer the time period over which the estimates are analysed. •The revisions to historic employment data also drive much of the variability in the GLA Economics’ employment projections numbers over time. However, and by design, the revised projections are relatively consistent over time and average revisions between iterations in GLA Economics employment projections are relatively small.

These workbooks contain the supporting data that sits behind GLA Economics Current Issues Notes 58 and 59. The Government recently set out plans for a ‘skills-based’ immigration system post-Brexit. To inform debate, GLA Economics has produced two Current Issues Notes aimed at understanding which areas of London’s labour market are likely to be most affected by the proposals. Current Issues Note 58: Which occupations may be most affected by the new £30,000 minimum salary and RQF3+ skills threshold proposals? Who works in these roles? How does the list of affected occupations change as the salary threshold is reduced towards £21,000? Current Issues Note 59: In which occupations is the greatest disruption most likely from the proposed £30,000 minimum salary and RQF3+ skills threshold proposals? Notes: These workbook bring together supporting data from the Office for National Statistic (ONS) that sits behind this work; for reference purposes, they also set out some of the modelled estimates used in our analysis. Please be aware: these modelled estimates have been produced with restrictions on data availability and are based on a number of simplifying assumptions. Our approach to data imputation is set out in detail in Current Issues Notes 58 and 59 and described only briefly in these workbooks. For further information users are advised to consult the notes provided in each workbook and the original ONS data publications.

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.

Analysis of the labour market covering the latest developments. When using outputs from this analysis you should be aware of the following caveats: •The analysis is not intended to be comprehensive or exhaustive. It is a snapshot analysis of key data as it pertains to London. •The analysis does not represent the full body of evidence on which Mayoral Policies are, or will be, based. We advise that our outputs are triangulated with other sources of information and analysis to develop a rounded statistical picture of any specific policy issues.

About this dataset This page presents experimental analysis related to green jobs and skills in London, using online job postings data provided by Lightcast. This near real-time data can be used to help track and assess the demand for green expertise in London. When using outputs from this analysis it is important to be aware of the following caveats: The methodology used to identify green job postings remains experimental and subject to revision. Online job postings may not fully reflect the overall composition of vacancies in the London labour market, as the number of vacancies is more evenly distributed across occupational groups in other data sources. The analysis is not intended to be comprehensive or exhaustive. It is a snapshot analysis of key data as it pertains to London. The analysis does not represent the full body of evidence on which Mayoral Policies are, or will be, based. Outputs should be triangulated with other sources of information and analysis to develop a rounded statistical picture of any specific policy issues.