GLA Economics is providing on an occasional basis medium-term forecasts of tourism visitor nights in London for domestic and international tourists. The forecasts are on a quarterly basis to 2026 and an annual basis to 2032. The estimates tri-angulate data from a number of sources. The methodology note provides more information on how this has been done.

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.

Current Issue Note 43 In December 2014 the Office for National Statistics (ONS) released provisional estimates of regional, sub-regional and local gross value added (GVA) for 2013 (although industry breakdowns of the data are for 2012) measured by the income approach. Also published in December 2014 were experimental results for regional real GVA as measured by the production approach for the years 1998 to 2012. This note presents the findings for London from the main GVA release (using the income approach) and then outlines the results from the experimental real GVA data. In addition, the note will cover recent changes to the National Accounts methodology and borough-level GVA estimates produced by GLA Economics. Curent Issues Note 41 In December 2013 the Office for National Statistics (ONS) released provisional estimates of regional, sub-regional and local gross value added (GVA) for 2012 (although industry breakdowns of the data are for 2011) measured by the income approach. Also published in December 2013 were experimental results for regional real GVA as measured by the production approach for the years 1998 to 2011. This note presents the findings for London and then outlines the results from the experimental real GVA data.

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.

•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.