Second estimate of GDP: Quarter 2 (Apr to June) 2016

The second quarterly estimate of GDP based on additional data but produced later than the preliminary estimate, providing a more precise indication of economic growth.

Mae hwn wedi cael ei ddisodli. View corrected version

30 September 2016

Following a quality review it has been identified that the methodology used to estimate elements of purchased software within gross fixed capital formation (GFCF) has led to some double counting from 1997 onwards. When this issue is amended in The Blue Book 2017 it will reduce the level of GFCF across the period by around 1.1% per year. The average impact on quarter-on-quarter GFCF growth is negative 0.02% and the average impact on quarter-on-quarter GDP growth is 0.00%.

This is an accredited National Statistic. Click for information about types of official statistics.

Cyswllt:
Email Matthew Hughes

Dyddiad y datganiad:
26 August 2016

Cyhoeddiad nesaf:
30 September 2016

1. Main points

The reporting period for this release covers Quarter 2 (Apr to June) 2016, and therefore includes data for a short period after the EU referendum. There is very little anecdotal evidence at present to suggest that the referendum has had an impact on GDP in Quarter 2 2016.

UK gross domestic product in volume terms was estimated to have increased by 0.6% between Quarter 1 (Jan to Mar) 2016 and Quarter 2 2016, unrevised from the preliminary estimate of gross domestic product published on 27 July 2016. This is the 14th consecutive quarter of positive growth since Quarter 1 2013.

Between Quarter 2 2015 and Quarter 2 2016, GDP in volume terms increased by 2.2%, unrevised from the previously published estimate.

GDP in current prices increased by 1.6% between Quarter 1 2016 and Quarter 2 2016.

GDP per head in volume terms was estimated to have increased by 0.4% between Quarter 1 2016 and Quarter 2 2016.

Nôl i'r tabl cynnwys

2. Understanding gross domestic product

Gross domestic product (GDP) growth is the main indicator of economic performance. There are 3 approaches used to measure GDP.

Gross value added (GVA) is the sum of goods and services produced within the economy less the value of goods and services used up in the production process (intermediate consumption). The output approach measures GVA at a detailed industry level before aggregating to produce an estimate for the whole economy. GDP (as measured by the output approach) can then be calculated by adding taxes and subtracting subsidies (both only available at whole economy level) to this estimate of total GVA (more information on creating the preliminary estimate of GDP is available on our methods and sources page).

The income approach measures income generated by production in the form of gross operating surplus (profits), compensation of employees (income from employment) and mixed income (self-employment income) for the whole economy.

The expenditure approach is the sum of all final expenditures within the economy, that is, all expenditure on goods and services that are not used up or transformed in the production process, that is, final consumption (not intermediate) for the whole economy.

The third estimate of GDP is based on revised output data, together with updated data from expenditure and income components. In the Quarterly National Accounts, the output GVA and GDP estimates are balanced with the equivalent income and expenditure approaches to produce headline estimates of GVA and GDP. Further information on all 3 approaches to measuring GDP can be found in the Short Guide to National Accounts.

All data in this bulletin are seasonally adjusted estimates and have had the effect of price changes removed (in other words, the data are deflated), with the exception of income data which are only available in current prices. For further information regarding non-seasonally adjusted data, please refer to the UK Economic Accounts. It can be downloaded directly from the UKEA dataset and on the UKEA main aggregates reference table.

Growth for GDP and its components is given between different periods. Latest year-on-previous-year gives the annual growth between a calendar year and the previous. Latest quarter-on-previous-quarter growth gives growth between a quarter and the quarter immediately before it. Latest quarter-on-corresponding-quarter-of-previous-year shows the growth between a quarter and the same quarter a year ago.

In line with National Accounts revisions policy, the earliest period open for revision in this release is Quarter 2 (Apr to June) 2016.

Nôl i'r tabl cynnwys

3. About the second estimate of GDP

The second estimate of GDP is produced around 7 and a half weeks after the end of the quarter to provide a timely estimate of GDP. At this stage the data content of this estimate from the output measure of GDP has risen to around 80% of the total required for the final output based estimate. There is also around 50 to 60% data content available to produce estimates of GDP from the expenditure and income approaches.

Nôl i'r tabl cynnwys

4. The quality of the GDP estimate

The national accounts are drawn together using data from many different sources. This ensures that the national accounts are comprehensive and provide different perspectives on the economy, for example sales by retailers and purchases by households. One source of information is from business surveys which use information provided directly from UK businesses. These data are subject to many layers of vigorous quality assurance by highly trained personnel, from clarity and confirmation of individual unit data direct from the business contact to scrutiny of data at the macro level. Other sources of data include other government departments and administrative data, including Value Added Tax (VAT) data from HM Revenue and Customs (HMRC) which are subject to quality checks and challenges from ONS. By comparing and contrasting these different sources, the national accounts produce a single picture of the economy which is consistent, coherent and fully integrated.

The production and publication of each gross domestic product (GDP) release is managed by a highly skilled team with a strong emphasis on statistical, analytical and economic debate throughout the production process to publish the headline GDP estimate and components. Although a limited audience have access to GDP data ahead of publication, those involved in the process are selected to ensure each GDP balance achieves a rigorous statistical and economic challenge. A “balancing meeting” is held during each production round, where presentations assess GDP and its components against a swathe of external indicators and a focus on GDP headline components. This is attended by senior managers within ONS who challenge the data to ensure consistency and plausibility of the GDP balance. We recognise the importance of transparency and have recently introduced an additional section in our background notes where the balancing adjustments applied - size and the components targeted - are now published.

Accompanying each quarterly and annual production cycle, external quality assurers with particular areas of expertise are invited to challenge and report on the statistical and economic coherence of the headline national account and component dataset. Current assessors include HM Treasury, Bank of England, National Institute of Economic and Social Research, HM Revenue and Customs and Tax Administration Research Centre. Drawing on their personal experience, expertise and subject knowledge, the external quality assurors work in a personal capacity to challenge the synergy of the dataset from a full range of views those of producers, data compilers and users of the statistics - before final sign-off.

Unlike many short-term indicators that we publish, there is no simple way of measuring the accuracy of GDP. All estimates, by definition, are subject to statistical uncertainty and for many well-established statistics we measure and publish the sampling error and non-sampling error associated with the estimate, using this as an indicator of accuracy. Since sampling is typically done to determine the characteristics of a whole population, the difference between the sample and population values is considered a sampling error. Non-sampling errors are a result of deviations from the true value that are not a function of the sample chosen, including various systematic errors and any other errors that are not due to sampling. The estimate of GDP, however, is currently constructed from a wide variety of data sources, some of which are not based on random samples or do not have published sampling and non-sampling errors available. As such, it is very difficult to measure both error aspects and their impact on GDP. While development work continues in this area, like all other G7 national statistical institutes, we don't publish a measure of the sampling error and non-sampling error associated with GDP.

One dimension of measuring accuracy is reliability, which is measured using evidence from analyses of revisions to assess the closeness of early estimates to subsequently estimated values. Many users try to minimise the impact of uncertainty by using the historical experience of revisions as a basis for estimating how confident they are in early releases and predicting how far and in what direction the early release might be revised. Revisions are an inevitable consequence of the trade-off between timeliness and accuracy. The estimate is subject to revisions as more data become available, but between the preliminary and third estimates of GDP, revisions are typically small (around 0.1 to 0.2 percentage points), with the frequency of upward and downward revisions broadly equal. Many different approaches can be used to summarise revisions; the Validation and Quality Assurance section in the Quality and Methodology Information paper analyse the mean average revision and the mean absolute revision for GDP estimates over data publication iterations. In addition to this analysis, Section 14 of the Revisions to GDP and components in Blue Books 2014 and 2015 article updates the metrics used to test revisions performance in order to answer the question “Is GDP biased?”

Nôl i'r tabl cynnwys

5. Headline GDP components and GDP per head

Historical context

As seen in Figure 1, GDP in the UK grew steadily during the 2000s until a financial market shock affected UK and global economic growth in 2008 and 2009. From the peak in Quarter 1 (Jan to Mar) 2008 to the trough in Quarter 2 (Apr to June) 2009, GDP decreased by 6.3%.

This can be compared with previous economic downturns in the early 1980s and early 1990s, which saw lower levels of impact on GDP. In the early 1990s downturn, GDP decreased 2.0% from the peak in Quarter 2 1990 to the trough in Quarter 3 (July to Sept) 1991. In the early 1980s downturn, GDP decreased by 5.4% from the peak in Quarter 2 1979 to the trough in Quarter 1 1981.

From Quarter 3 2009, growth continued to be erratic, with several quarters between 2010 and 2012 recording broadly flat or declining GDP growth. This 2-year period coincided with special events (for example severe winter weather in Quarter 4 (Oct to Dec) 2010 and the Diamond Jubilee in Quarter 2 2012) that are likely to have affected growth both adversely and positively. Since 2013, GDP has grown steadily, with the economy exceeding pre-downturn peak levels in Quarter 3 2013.

GDP growth in Quarter 2 2016 increased to 0.6%, slightly stronger than in the previous quarter, during which GDP is estimated to have grown by 0.4%. Following a slowdown in GDP growth at the start of 2015, output has grown steadily in recent quarters, and is 2.2% higher in Quarter 2 2016 than in the same period a year earlier. GDP is now 7.7% above its pre-downturn peak and the growth in Quarter 2 2016 is the 14th consecutive quarter of expansion since the beginning of 2013.

Nôl i'r tabl cynnwys

6. GDP analysed by output categories, chained volume measures, Tables B1 and B2

Table AA contains output component growth rates back to Quarter 1 (Jan to Mar) 2014.

Out of the 4 main output industrial groupings within gross domestic product, 2 showed increases in Quarter 2 (Apr to June) 2016 compared with Quarter 1 2016: production and services. Meanwhile agriculture, forestry & fishing and construction showed decreases in this period. Within production, all 4 components increased, which resulted in overall positive growth in total production. Out of the 4 components within the service industries, 3 showed increases, with government and other services remaining flat.

Production output increased by 2.1% in Quarter 2 2016 compared with Quarter 1 2016, unrevised from the previously published estimate. Within the production sub-industries, output from mining and quarrying, including oil and gas extraction, increased by 1.9%; manufacturing (the largest component of production) increased by 1.8% (Figure 2); electricity, gas, steam and air conditioning supply industries increased by 4.5%. Water supply and sewerage increased by 2.7%.

When comparing Quarter 2 2016 with Quarter 2 2015, production output increased by 1.8%, unrevised from the previously published estimate. Mining and quarrying, including oil and gas extraction, decreased by 0.2%. Water supply and sewerage increased by 5.9%; manufacturing increased by 1.3% between these periods while the electricity, gas, steam and air conditioning supply industries rose by 4.5%.

Construction output decreased by 0.7% in Quarter 2 2016, revised down 0.3 percentage points from the previously published estimate. Construction output decreased by 1.4% between Quarter 2 2015 and Quarter 2 2016, revised down 0.2 percentage points from the previously published estimate.

The service industries increased by 0.5% in Quarter 2 2016 (Figure 3), unrevised from the previous estimate, marking the 14th consecutive quarter of positive growth. This follows a 0.6% increase in Quarter 1 2016.

Output of the distribution, hotels and catering industries increased 1.1% in Quarter 2 2016: this compares with an increase of 1.4% in Quarter 1 2016. The largest contributor to the increase was retail trade except of motor vehicles and motor cycles.

Output of the transport, storage and communication industries increased 0.2% in Quarter 2 2016: this compares with flat growth in Quarter 1 2016. The largest contributor to the increase was computer programming, consultancy and related activities.

Output of the business services and finance industries increased 0.6% in Quarter 2 2016: this compares with an increase of 0.7% in Quarter 1 2016. The largest contributors to the increase were: activities of head offices; management consultancy activities and architectural and engineering activities; technical testing and analysis.

Output of the government and other services industries was flat in Quarter 2 2016, this compares with an increase of 0.3% in Quarter 1 2016. The largest upward contribution to the flat growth came from human health activities, the largest downward contributions came from public administration and defence; compulsory social security and other personal service activities.

Further detail on the service industries’ lower level components can be found in the Index of Services statistical bulletin published on 26 August 2016.

Gross value added (GVA) excluding oil and gas extraction increased by 0.6% in Quarter 2 2016 following a 0.5% increase in Quarter 1 2016.

Figure 4 shows the path of GDP and its headline industries (this excludes agriculture, and includes manufacturing which is a sub-component of production) relative to their level of output achieved in Quarter 1 2008.

Industries have shown differing trends following the recent economic downturn. The construction, manufacturing and production industries were more acutely affected by the deterioration in economic conditions, with output falling by 17.1%, 12.2% and 10.5% respectively between Quarter 1 2008 and Quarter 3 (July to Sept) 2009. In contrast, output in the service industries only fell by 4.6% from its peak to trough.

Production activity began to grow again in 2010, and the manufacturing and the construction industries showed particular strength – neither industry sustained this growth. Production output fell in both 2011 and 2012, falling below levels seen at the height of the downturn in 2009. Construction output also fell sharply in 2012, with output falling close to its 2009 trough after further contraction in Quarter 1 2013. Construction output improved over much of 2014 and 2015, until a contraction of 1.1% occurred in Quarter 3 2015. Quarter 2 2016 has also shown a contraction in construction output of 0.7%, and by 1.4% between Quarter 2 2015 and Quarter 2 2016. Although there has been growth across all major components of GDP since the start of 2013, the service industries remain the largest and steadiest contributor to overall economic growth, and are the only headline industry in which output has exceeded pre-downturn levels.

Figure 5 shows the average compound quarterly growth rate experienced over the 5 years prior to the economic downturn in 2008 to 2009, the average growth rate experienced between Quarter 3 2009 and Quarter 2 2014 (5 years following the downturn), and the current quarterly growth rate observed in the most recent period (Quarter 2 2016). Compound average growth is the rate at which a series would have increased or decreased if it had grown or fallen at a steady rate over a number of periods. This allows the composition of growth in the recent economic recovery to be compared to the long run average.

The UK experienced slightly slower average compound GDP growth in the 5 years following the economic downturn compared with the 5 years prior: this is also true of the service industries. In the most recent quarter, production and manufacturing increased by 2.1% and 1.8% respectively, outperforming their pre-downturn and post-downturn 5 year average growth rate. While the service production and manufacturing sectors grew in the most recent quarter the construction industries experienced a contraction of 0.7%.

It should be noted that the third column, which shows the current quarterly growth rate, is based on only 1 data point. Consequently, users should be cautious when making direct comparisons with the long run averages.

Nôl i'r tabl cynnwys

7. GDP analysed by expenditure categories, chained volume measures, Table C2

Table AB contains expenditure component growth rates back to Quarter 1 (Jan to Mar) 2014.

Total domestic expenditure (the sum of all expenditure by UK residents on goods and services that are not used up or transformed in a productive process) increased by 0.9% in Quarter 2 (Apr to June) 2016. Annually, between 2014 and 2015, total domestic expenditure increased by 2.5%.

Household final consumption expenditure (HHFCE) increased by 0.9% in Quarter 2 2016 and has increased for 6 consecutive quarters (Figure 6). When compared with the same quarter a year ago, HHFCE has been rising each quarter since Quarter 4 (Oct to Dec) 2011, and was 3.0% higher in Quarter 2 2016 than in the same period a year ago. Between 2014 and 2015, HHFCE increased by 2.6%.

In this release, local government financial year expenditure nominal data for 2016/17 are included for the first time. These estimates will be revised each quarter due to receipt of updated quarterly source data, with the first update due to be published in September's Quarterly National Accounts release.

General government final consumption expenditure (GGFCE) decreased by 0.2% in Quarter 2 2016, following a 0.5% increase in Quarter 1 2016. Between Quarter 2 2015 and Quarter 2 2016, GGFCE increased by 0.8%. Between 2014 and 2015, GGFCE increased by 1.4%.

Non-profit institutions serving households’ (NPISH) final consumption expenditure increased by 0.6% in Quarter 2 2016, following a 1.7% increase in Quarter 1 2016. Between Quarter 2 2015 and Quarter 2 2016, NPISH final consumption expenditure increased by 0.8%. Annually, NPISH final consumption expenditure increased by 1.5% between 2014 and 2015.

In Quarter 2 2016, gross fixed capital formation (GFCF) was estimated to have increased by 1.4% (Figure 7), following a decrease of 0.1% in Quarter 1 2016. Between Quarter 2 2015 and Quarter 2 2016, GFCF increased by 0.9%. GFCF increased by 3.3% between 2014 and 2015. More detail on GFCF, including a breakdown of the GFCF components, can be found in the Business Investment statistical bulletin published on 26 August 2016.

Business investment was estimated to have increased by 0.5% in Quarter 2 2016 and decreased by 0.8% between Quarter 2 2015 and Quarter 2 2016. Annually, business investment increased by 5.0% between 2014 and 2015.

Including the alignment adjustment, the level of inventories increased by £2.6 billion in Quarter 2 2016, following an increase of £1.2 billion in Quarter 1 2016. More information on the alignment adjustment can be found in the Balancing GDP section within the background notes of this release.

The trade balance deficit widened from £14.1 billion in Quarter 1 2016 to £15.7 billion in Quarter 2 2016 (Figure 8). The trade position reflects exports minus imports. Following a 0.4% decrease in Quarter 1 2016, exports increased by 0.1% in Quarter 2 2016, while imports increased by 1.0% in Quarter 2 2016 following a 0.1% increase in Quarter 1 2016. Trade in Goods data are consistent with the UK trade statistical bulletin published on the 9th August 2016, whilst Trade in Services data are revised due to International Trade in Services data being incorporated for the first time. This is in line with usual practice.

Figure 9 shows the quarterly contribution of the expenditure components to the growth of GDP in chained volume measures. For Quarter 2 2016, the largest positive contribution to GDP came from HHFCE, which contributed 0.6 percentage points. Gross capital formation contributed a positive 0.4 percentage points. These positive contributions to GDP were partially offset by net trade, which contributed a negative 0.3 percentage points to GDP growth.

Nôl i'r tabl cynnwys

8. GDP implied deflator

Table AD contains implied deflator component growth rates back to Quarter 1 (Jan to Mar) 2014.

The gross domestic product (GDP) implied deflator at market prices for Quarter 2 (Apr to June) 2016 is 0.7% above the same quarter of 2015 (Figure 10). Within the expenditure components positive implied deflator contributions in households’ final consumption expenditure, non profit institutions serving households, general government final consumption expenditure and gross capital formation were only partially offset by negative contributions from exports of goods and services and imports of goods and services. The GDP implied deflator is calculated by dividing current price (nominal) GDP by chained volume (real) GDP and multiplying by 100 to convert to an index.

Nôl i'r tabl cynnwys

9. GDP analysed by income categories at current prices, Table D

Table AC contains income component growth rates back to Quarter 1 (Jan to Mar) 2014.

Gross domestic product (GDP) at current market prices increased by 1.6% in Quarter 2 (Apr to June) 2016, following a 1.0% increase in Quarter 1 2016. GDP at current market prices increased by 2.9% when compared with Quarter 2 2015. In 2015, GDP at current market prices increased by 2.6%.

Compensation of employees – which includes both wages and salaries, and employers’ social contributions, increased by 1.6% in Quarter 2 2016, following an increase of 0.9% in Quarter 1 2016 (Figure 11). Between Quarter 2 2015 and Quarter 2 2016, compensation of employees increased by 3.9%. Between 2014 and 2015 compensation of employees increased by 3.3%.

The gross operating surplus of corporations (effectively the profits of companies operating within the UK), including the alignment adjustment, increased by 2.2% in Quarter 2 2016 compared with Quarter 1 2016. This follows an increase of 3.7% in Quarter 1 2016 (Figure 12). Between 2014 and 2015, the gross operating surplus of corporations increased by 0.2%. More information on the alignment adjustment can be found in the Balancing GDP section within the background notes of this release.

Taxes on products and production less subsidies increased by 1.1% in Quarter 2 2016, following a decrease of 1.2% in Quarter 1 2016. Between 2014 and 2015, taxes less subsidies on products and production increased by 2.4%.

Figure 13 shows the contribution made by income components to current price GDP. In Quarter 2 2016, there were positive contributions to GDP from compensation of employees which contributed 0.8 percentage points, gross operating surplus of corporations which contributed 0.5 percentage points and other income which contributed 0.2 percentage points. Taxes on products and production less subsidies contributed 0.1 percentage points.

Nôl i'r tabl cynnwys

10. GDP per head, Table P

In Quarter 2 (Apr to June) 2016, gross domestic product (GDP) per head increased by 0.4%, compared with Quarter 1 (Jan to Mar) 2016. GDP per head is now 1.2% above its pre-downturn peak in Quarter 1 2008, having surpassed it in Quarter 2 2015. Headline GDP exceeded the level of its pre-downturn peak in Quarter 2 2013 and is now 7.7% above its pre-downturn peak (Figure 14).

Between Quarter 2 2015 and Quarter 2 2016, GDP per head increased by 1.5%. Between 2014 and 2015, GDP per head increased by 1.4% compared with a growth of 2.3% between 2013 and 2014.

GDP per head is calculated by dividing GDP in chained volume measures by the latest population estimates and projections. The population estimates used in this release are those published on 23 June 2016, and the population projections used are those published on 29 October 2015.

Nôl i'r tabl cynnwys

11. International comparisons for Quarter 2 (Apr to June) 2016

The estimates quoted in this international comparison section are the latest available estimates published by the respective bodies (referenced) at the time of preparation of this statistical bulletin and may subsequently have been revised.

The majority of the areas included within our international comparison saw positive growth when comparing Quarter 2 (Apr to June) 2016 with Quarter 1 (Jan to Mar) 2016, excluding Japan and France who experienced flat growth (Table 2). The European Union (EU28) grew by 0.4%, marking 13 consecutive quarters of positive growth (Figure 15). In the same period, the group of Euro Area countries (EA19) grew by 0.3%. When comparing Quarter 2 2016 with Quarter 2 2015, EA19 grew by 1.6% and the EU28 expanded by 1.8% (Figure 16).

In Quarter 2 2016, the USA’s economy increased by 0.3% and compared to the corresponding quarter of last year, the USA’s GDP increased by 1.2%. Japan’s flat growth in the latest quarter followed positive growth between Quarter 4 (Oct to Dec) 2015 and Quarter 1 2016 of 0.5%.

The combined GDP for the Group of Seven (G7) countries increased by 0.2% in Quarter 2 2016, following growth of 0.4% in the previous quarter. When comparing Quarter 2 2015 with Quarter 2 2016, G7 GDP increased by 1.2% and is now 7.1% above the pre-economic downturn peak in Quarter 1 2008 (Figure 17). Italy is the only G7 country with its GDP still below Quarter 1 2008, at 8.4% below its pre-downturn peak.

Information on the estimates for the USA can be found on the Bureau of Economic Analysis website; information on the estimates for Japan can be found on the Japanese Cabinet Office website. More detailed information for the G7 and the EU countries can be found on the Organisation for Economic Co-operation and Development’s website and Eurostat website, respectively.

Nôl i'r tabl cynnwys

12. Quarterly revisions

GDP and components, previously published on 27 July 2016

Figure 18 shows quarterly revisions between latest and previously published estimates of gross domestic product (GDP). Quarter 2 (Apr to June) 2016 is the earliest period open for revision in this release. GDP for Quarter 2 2016 is unrevised at 0.6%.

Revisions for the output approach are shown in Table AE.

Nôl i'r tabl cynnwys

.Background notes

What do you think?

  1. We welcome your feedback on this publication. If you would like to get in touch please contact us via email: gdp@ons.gsi.gov.uk

    Release policy

  2. This release includes data available up to 17 Aug 2016. Data are consistent with that within the Index of Production statistical bulletin - published on 9 Aug 2016 and the data within the UK trade statistical bulletin published on the 9th August 2016. Trade in services data are revised due to International Trade in Services data being incorporated for the first time.

    Release content and context

  3. This release is the second estimate of gross domestic product (GDP). Data content for each successive release of GDP varies according to availability.

  4. The preliminary estimate of GDP is based on output data alone. These are based on survey estimates for the first 2 months of the quarter with estimates for the third month of the quarter based on forecasts using early returns from businesses. Other (non-survey based) data used in the compilation of the output approach are also based on forecasts.

  5. For the second estimate of GDP output estimates, based on survey data, are available for all 3 months of the quarter, in addition to other significant data sources. Estimates of the expenditure and income approaches to measuring GDP are also available in this release based on a combination of limited survey data, other data sources and forecasts.

  6. For the Quarterly National Accounts (QNA) release, output survey data are available for all 3 months of the quarter, along with most other data sources. For the expenditure and income approaches to measuring GDP, more extensive survey data are available, in addition to other data sources and a more limited use of forecasts.

  7. After this release, the current quarter will be subject to revision in accordance with National Accounts revisions policy as further data, annual benchmarks and methodological improvements are implemented.

  8. For more information on the different estimates of GDP, we have produced a short guide to the UK National Accounts which gives more information on the principles of national accounting and the various publications available.

  9. For further information regarding non-seasonally adjusted data, please refer to the UK Economic Accounts. It can be downloaded directly from the UKEA dataset and on the UKEA main aggregates reference table.

    Economic Statistics and Analysis Strategy

  10. On 26 May 2016 we published a draft of the first edition of an Economic and Analysis Strategy (ESAS), to prioritise and guide our work on economic statistics. We have already produced a strategy for the National Accounts and the ESAS encompasses this and goes wider to cover all economic statistics.

    VAT project

  11. HMRC VAT update July 2016 was published on 12 July 2016. This was the fifth update on the work to utilise data collected by Her Majesty’s Revenue and Customs (HMRC) from Value Added Tax (VAT) returns as an administrative data source for Short-term Output Indicators (STOI) and National Accounts. The project is exploring ways in which HM Revenue and Customs (HMRC) administrative data could be used to quality assure, supplement or replace the current turnover-based ONS surveys.

    National Accounts classification decisions

  12. The UK National Accounts are produced under internationally agreed guidance and rules set out principally in the European System of Accounts (ESA 2010) and the accompanying Manual on Government Deficit and Debt- Implementation of ESA 2010 – 2014 edition (MGDD).

  13. In the UK, we are responsible for the application and interpretation of these rules. Therefore we make classification decisions based upon the agreed guidance and rules, and these are published on our website.

    Economic context

  14. We publish a monthly Economic Review discussing the economic background, giving economic commentary on the latest GDP estimate and our other economic releases. The next article will be published on 8 September 2016.

    Basic quality information for GDP statistical bulletin

  15. A Quality and Methodology Information report for this statistical bulletin can be found on our website.

    Important quality issues

  16. Common pitfalls in interpreting series:

    • expectations of accuracy and reliability in early estimates are often too high
    • revisions are an inevitable consequence of the trade-off between timeliness and accuracy
    • early estimates are based on incomplete data

    Very few statistical revisions arise as a result of “errors” in the popular sense of the word. All estimates, by definition, are subject to statistical “error”. In this context the word refers to the uncertainty inherent in any process or calculation that uses sampling, estimation or modelling. Most revisions reflect either the adoption of new statistical techniques or the incorporation of new information which allows the statistical error of previous estimates to be reduced. Only rarely are there avoidable “errors” such as human or system failures and such mistakes are made quite clear when they do occur.

    Reliability

  17. Estimates for the most recent quarters are provisional and are subject to revision in the light of updated source information. We currently provide an analysis of past revisions in the GDP and other statistical bulletins that present time series.

    Our revisions to economic statistics page brings together our work on revisions analysis, linking to articles and revisions policies.

    Revisions to data provide one indication of the reliability of main indicators. Tables 3 and 4 provide a summary on the size and direction of the revisions that have been made to data covering a 5-year period. A statistical test has been applied to the average revision to find out if it is statistically significantly different from zero. An asterisk (*) shows if the result of the test is significant.

    Revisions to GDP estimates

  18. Table 3 shows the revisions to month 1 (preliminary) and month 2 (second) estimates of GDP. The analysis of revisions between month 1 and month 2 uses month 2 estimates published from November 2011 (Quarter 3 2011) to August 2016 (Quarter 2 2016). The analysis of revisions between month 2 and month 3 (third estimate of GDP) uses month 3 estimates published from November 2011 (Quarter 3 2011) to August 2016 (Quarter 2 2016).

  19. Table 4 shows the revisions to GDP growth between the estimate, published 3 months after the end of the quarter, and the equivalent estimate 3 years later. The analysis uses month 3 estimates, first published from December 2008 (Quarter 3 2008) to September 2013 (Quarter 2 2013) for GDP.

  20. Revisions triangles for the main components of GDP from expenditure, output and income approaches and spreadsheets, containing revisions triangles (real time databases) of estimates from 1992 to date and the calculations behind the averages in both tables are available on our website.

    Balancing GDP

  21. Information on the methods we use for balancing the output, income and expenditure approaches to measuring GDP can be found on our website.

  22. The different data content of the 3 approaches dictates the approach taken in balancing quarterly data. In the UK, there are far more data available on output than in the other 2 approaches. However, in order to obtain the best estimate of GDP (the published figure), the estimates from all 3 approaches are reconciled to produce an average.

  23. Annually, the estimates from all 3 approaches are reconciled through the creation of Input-Output Supply and Use tables for the years for which data are available.

  24. For years in which there is no Supply and Use balance, a statistical discrepancy exists that reflects the differences between the published headline estimate of GDP and the expenditure and income estimates.

  25. For all periods, the expenditure and income estimates are aligned to the published headline GDP figure. Although annual data is aligned for balanced years, there will still be quarterly differences for balanced and post balanced years, due to timing and data content issues. These are dealt with by means of explicit alignment adjustments that are applied to specific components (gross operating surplus of private non-financial corporations in the income approach and changes in inventories in expenditure) to align the 3 approaches. As these are purely quarterly discrepancies, the alignments sum to zero over the year and are published explicitly in the GDP statistical bulletins. They are also published as “of which” items within the specific components, to enable users to ascertain the underlying picture.

  26. Alignment adjustments, found in Table M of this release, have a target limit of plus or minus £2,000 million on any quarter. However, in periods where the data sources are particularly difficult to balance, slightly larger alignment adjustments are sometimes needed. To achieve this balance through alignment, balancing adjustments are applied to the expenditure and income components of GDP as required. They are applied to those individual components where data content is particularly weak in a given quarter due to a high level of forecast content, for example.

  27. The size and direction of the quarterly alignment adjustments in Quarter 2 (Apr to June) 2016 indicate that in this quarter, the levels of expenditure and income were lower than the level of output.

  28. Table 5 shows the balancing adjustments applied to the GDP estimates in this publication.

    Further information

  29. You can get the latest copies of this and all our other releases through the release calendar on our website.

  30. Details of the policy governing the release of new data are available from the media relations office. Also available is a list of the ministers and officials who have pre-publication access to the contents of this bulletin.

  31. We are committed to ensuring all information provided is kept strictly confidential and will only be used for statistical purposes. Further details regarding confidentiality can be found in the respondent charters for businesses and households, on our website.

    Code of practice

  32. National Statistics are produced to high professional standards set out in the UK Statistics Authority's Code of Practice for Official Statistics. They undergo regular quality assurance reviews to ensure that they meet customer needs. They are produced free from any political interference.

Nôl i'r tabl cynnwys

Manylion cyswllt ar gyfer y Bwletin ystadegol

Matthew Hughes
gdp@ons.gsi.gov.uk
Ffôn: +44 (0)1633 455827