All estimates in this release are presented in 2022 prices and in chained volume measures. Estimates are provisional and subject to planned revisions. The index of estimated monthly GVA shows the growth or decline of the Digital Sector and its subsectors relative to January 2019.
This current release contains new monthly figures for April 2024 to June 2024 and minor revisions for January 2024 to March 2024.
Estimates of monthly GVA (£ million) are used to determine percentage changes over the relevant time periods mentioned here.
DSIT have recently concluded a consultation on the planned future of the Digital Sector Economic Estimates series - the DSIT response to this consultation can be accessed using this link.
26 September 2024
This is a continuation of the Digital Economic Estimates: Monthly GVA series, previously produced by Department for Culture, Media and Sport (DCMS). Responsibility for Digital Sector policy now sits with the Department for Science, Innovation and Technology (DSIT).
These estimates are Official Statistics, used to provide an estimate of the economic contribution of the Digital Sector, in terms of Gross Value Added (GVA), for the period January 2019 to June 2024. This current release contains new monthly figures for April 2024 to June 2024 and minor revisions for January 2024 to March 2024.
Estimates are presented in chained volume measures (i.e. have been adjusted for inflation), at 2022 prices, and are seasonally adjusted. These latest monthly estimates should only be used to illustrate general trends, not used as definitive figures.
You can use these estimates to:
You should not use these estimates to:
These findings are calculated based on published Office for National Statistics (ONS) data sources including the Index of Services and Index of Production.
These data sources are available for industrial ‘divisions’, whereas the Digital Sector is defined using more detailed industrial ‘classes’. This represents a significant limitation to this statistical series; the implications of which are discussed furt
All estimates in this release are presented in 2022 prices and in chained volume measures. Estimates are provisional and subject to planned revisions. The index of estimated monthly GVA shows the growth or decline of each sector or subsector relative to January 2019. Estimates of monthly GVA (£ million) are used to determine percentage change over the relevant time periods mentioned here.
Telecommunications is a subsector of the Digital Sector. Due to specific interest in this sector, we have provided additional headline figures:
13 June 2024
This is a continuation of the Digital Economic Estimates: Monthly GVA series, previously produced by Department for Culture, Media and Sport (DCMS). Responsibility for Digital and Telecommunications policy now sits with the Department for Science, Innovation and Technology (DSIT).
These estimates are Official Statistics, used to provide an estimate of the economic contribution of the Digital Sector, in terms of Gross Value Added (GVA), for the period January 2019 to March 2024. This current release contains new figures for January 2024 to March 2024.
Estimates are in chained volume measures (i.e. have been adjusted for inflation), at 2022 prices, and are seasonally adjusted. These latest monthly estimates should only be used to illustrate general trends, not used as definitive figures.
You can use these estimates to:
You should not use these estimates to:
These findings are calculated based on published Office for National Statistics (ONS) data sources including the Index of Services and Index of Production.
These data sources are available for industrial ‘divisions’, whereas the Digital Sector is defined using more detailed industrial ‘classes’. This represents a significant limitation to this statistical series; the implications of which users should be aware of.
ONS data used in this release only captures trends (i.e. changes over time) for ‘divisions’; with trends for ‘classes’ estimated from their overarching division. Therefore, differing changes in class levels within a division cannot be captured within these estimates. This presents an issue when creating our statistical series as classes wi
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All estimates in this release are presented in 2022 prices and in chained volume measures. Estimates are provisional and subject to planned revisions. The index of estimated monthly GVA shows the growth or decline of the Digital Sector and its subsectors relative to January 2019.
This current release contains new monthly figures for April 2024 to June 2024 and minor revisions for January 2024 to March 2024.
Estimates of monthly GVA (£ million) are used to determine percentage changes over the relevant time periods mentioned here.
DSIT have recently concluded a consultation on the planned future of the Digital Sector Economic Estimates series - the DSIT response to this consultation can be accessed using this link.
26 September 2024
This is a continuation of the Digital Economic Estimates: Monthly GVA series, previously produced by Department for Culture, Media and Sport (DCMS). Responsibility for Digital Sector policy now sits with the Department for Science, Innovation and Technology (DSIT).
These estimates are Official Statistics, used to provide an estimate of the economic contribution of the Digital Sector, in terms of Gross Value Added (GVA), for the period January 2019 to June 2024. This current release contains new monthly figures for April 2024 to June 2024 and minor revisions for January 2024 to March 2024.
Estimates are presented in chained volume measures (i.e. have been adjusted for inflation), at 2022 prices, and are seasonally adjusted. These latest monthly estimates should only be used to illustrate general trends, not used as definitive figures.
You can use these estimates to:
You should not use these estimates to:
These findings are calculated based on published Office for National Statistics (ONS) data sources including the Index of Services and Index of Production.
These data sources are available for industrial ‘divisions’, whereas the Digital Sector is defined using more detailed industrial ‘classes’. This represents a significant limitation to this statistical series; the implications of which are discussed furt