- National Statistic: Yes
- Survey name: International Trade in Services
- Data collection: Survey data
- Frequency: Annual
- How compiled: Survey
- Geographic coverage: United Kingdom
- Related publications: Annual International Trade in Services
This quality and methodology report contains information on the quality characteristics of the data (including the European Statistical System five dimensions of quality) as well as the methods used to create it. The information in this report will help you to:
understand the strengths and limitations of the data
learn about existing uses and users of the data
understand the methods used to create the data
help you to decide suitable uses for the data
reduce the risk of misusing data
International Trade in Services (ITIS) data measure the value of transactions of UK businesses by country of origin and destination
ITIS data is based solely on survey data
ITIS data is based on a quarterly sample of approximately 2,200 businesses and an annual sample of approximately 22,500 businesses
The annual results are supplemented by information collected via the Annual Business Survey (ABS)
Data are collected by both industry and product on a geographical basis
The ITIS surveys are the main source of data for UK trade in services
The surveys do not provide full coverage of the UK economy; excluded sectors are:
- travel and transport
- banking and other financial institutions
- higher education
- most activities in the legal professions
ITIS data is not seasonally adjusted
International Trade in Services shows the import and export activity of UK companies overseas and is the main source of information for UK trade.
The ITIS survey collects company-level microdata on exports and imports of services products. The Office for National Statistics' (ONS) ITIS data are compliant with the latest international standards, as outlined in The Manual on Statistics of International Trade in Services 2010 (MSITS 2010).
Breakdowns are available by product, industry and geographical region. Products are classified using Extended Balance of Payments Services classification (EBOPS 2010). There are 52 products and 17 product groups. The International Trade in Services (ITIS) survey is the main source of UK trade in services data, covering most industries but with a few exceptions: travel, transport, banking and other financial institutions, higher education, charities, and most activities within the legal profession. Data for the excluded industries are obtained from other sources and are not included in this dataset. Statistics presented are not seasonally adjusted.
The quarterly sample is made up of approximately 2,200 businesses and the annual sample is made up of approximately 22,500 businesses. The survey data from both the quarterly and annual results are combined to produce the annual ITIS estimates and are used as a main data source to compile total trade in services estimates.
In 2009, the ITIS survey incorporated the Film and Television survey, which was discontinued as a standalone survey in 2008. The ITIS survey is also supplemented by information collected via the Annual Business Survey (ABS) in relation to amounts paid or received for the imports or exports of services. Care is taken during the sampling and estimation process to avoid duplication between surveys.
ITIS data are collected by both industry and product on a geographical basis, by collecting data for the countries to which services are exported, and from where they are imported. These data are primarily used in the compilation of the services account for the UK's Balance of Payments (BoP), which in turn contributes towards the measure of UK GDP. The ITIS estimates are published annually.
Uses and users
The results of the annual and quarterly ITIS survey represent a main element of the BoP account and of GDP. The results are published in detail in the ITIS annual publication. The results from the ITIS survey make up approximately 64% of total exports and imports of the trade in services account for 2020.
As a condition of membership to the International Monetary Fund (IMF), the UK is obliged to provide detailed trade in services information. The Organisation for Economic Cooperation and Development (OECD) also requires a detailed geographical breakdown of trade in services products to allow for international analysis and comparison. The geographical data also allow the analysis of bilateral asymmetries between member states to take place. As such, businesses taking part in the ITIS survey are required to respond under the Statistics of Trade Act 1947.
The data are also used by the ONS' Supply and Use Production Branch within national accounts. Tables are provided containing industrial and non-industrial service breakdowns. They use the weighted flows of the industry and product matrix data from ITIS for the analyses of industrial and non-industrial services supplied by the ABS.
Government and business users also use the data for economic assessment. Department for International Trade (DIT) states that the ITIS survey is the only source of product detail for UK services and is essential for UK regional exports analyses. DIT also use the ITIS survey data to monitor the competitiveness of UK businesses and to gain a better understanding of the level of service exports.
In addition, Scottish Government (SG) also show significant interest in the survey results to supplement Scotland's Global Connections Survey (GCS)and Department for Digital, Culture, Media and Sport (DCMS). DCMS use the ITIS data in one of their main outputs, the Creative Industries statistical bulletin.
Strengths and limitations
Product level detail is published at both world total and sector level
The ITIS survey is the only source of product detail for UK services and is essential for UK regional exports analyses
ITIS data is not representative of the whole economy; travel, transport and banking sectors are excluded
Only select countries are published, not a full geographic breakdown
Some published tables contain high volumes of suppressed data as a result of disclosure being applied
Sector-only estimates are published, not industry-level estimates
It is a sample survey, not a census
- In the 2019 annual sample, regional boosts for Wales and Scotland were introduced to the sample to increase the representation of those regions. These boosts have also been funded for the 2020 sample, but it is not certain if these will be included in future years.
This section provides a range of information that describes the quality and characteristics of the data and identifies issues that should be noted when using the output.
The International Trade in Services (ITIS) data is a major source of data for UK trade, which is a main economic indicator because of the importance of international trade to the UK economy. The conceptual framework of the ITIS data corresponds to that of the IMF Balance of Payments Manual sixth edition (BPM6). It is also compliant with the latest international standards, as outlined in MSITS 2010. Both provide objective and coherent international standards to make data for the UK and other countries comparable, reflecting the needs of international and domestic users.
The UK economic territory excludes the Channel Islands and the Isle of Man, which have their own fiscal and monetary authorities. BPM6 was compiled in close co-operation with Eurostat, the OECD, the United Nations and the World Bank. The ITIS data, as a component of UK trade data, form part of the broader system of UK National Accounts. The international standard for national accounts is the System of National Accounts 2008 (SNA08) jointly published by the same organisations. The EU published its own version of SNA08, European System of National Accounts 2010 (ESA 2010), upon which the UK's National Accounts are based. BPM6, SNA08 and ESA 2010 are consistent. The main users of the ITIS dataset are: the Department for International Trade (DIT), the Scottish Government (SG), the Department for Digital, Culture, Media and Sport (DCMS) and the Department for environment, food, rural affairs (DEFRA).
Accuracy and reliability
There is no simple way of measuring the accuracy of ITIS statistics, that is, the extent to which they measure the underlying "true" value for a particular period. Non-sampling errors are not easy to quantify and include errors of coverage, measurement, processing and non-response. Various procedures and checks are made to ensure these errors are minimised. As ITIS is based on survey responses, the Office for National Statistics' (ONS) systems validate these entries and prompt confirmation of suspect data is sought. Standard errors are an estimate of the sampling error and provide a measure of the precision of the estimate. A low standard error indicates a precise estimate. To aid comparison, the standard error is also expressed as a percentage of the total value, allowing the standard error to be put in context.
|Information and |
|Arts, Entertainment |
Download this table Table 1: Standard errors, 2020.xls .csv
Coherence and comparability
Coherence is the degree to which data that are derived from different sources or methods, but refer to the same topic, are similar. Comparability is the degree to which data can be compared over time and domain, for example, geographic level.
Every effort is made to ensure that the series are comparable over time. International standards (BPM6) are used in the production of ITIS data; therefore, figures published by the UK should be comparable with other countries. UK representation in international working groups help ensure that the UK is synchronised with any changes along with other countries.
Accessibility and clarity
Accessibility is the ease with which users are able to access the data, also reflecting the format in which the data are available and the availability of supporting information. Clarity refers to the quality and sufficiency of the release details, illustrations and accompanying advice.
The annual survey data are published in the publication entitled International Trade In Services, which is available from the ONS.
Our recommended format for accessible content is a combination of HTML webpages for narrative, charts and graphs, with data being provided in usable formats such as CSV and Excel. Our website also offers users the option to download the narrative in PDF format. In some instances, other software may be used, or may be available on request. Available formats for content published on our website but not produced by us, or referenced on our website but stored elsewhere, may vary. For further information please refer to the contact details at the beginning of this report.
For information regarding conditions of access to data, please refer to:
Access to microdata can be requested via the Secure Research Service (SRS).
Further queries can be addressed to the ITIS public enquiry team by email to: email@example.com.
Timeliness and punctuality
Timeliness refers to the lapse of time between publication and the period to which the data refer. Punctuality refers to the gap between planned and actual publication dates.
The Annual ITIS dataset is published on our website 13 months after the end of the reference year.
For more details on related releases, our release calendar provides 12 months' advance notice of release dates. Publication dates for ITIS are fixed, but, in the unlikely event of a change to the pre-announced release schedule, public attention will be drawn to the change and the reasons for the change will be explained fully at the same time, as set out in the Code of Practice for Official Statistics.
Concepts and definitions (including list of changes to definitions)
Concepts and definitions describe the legislation governing the output and a description of the classifications used in the output.
The ITIS survey is mandatory and is collected under the Statistics of Trade Act 1947. Detailed Standard Industrial Classification: SIC 2007 is available. Data is collected in accordance with the latest edition of the Balance of Payments: BPM6 manual.
|Europe||The Americas||Asia||Australasia and|
|Belgium||Canada||Hong Kong||New Zealand||South Africa|
|USA||Indonesia||Other Countries||Other Countries|
|Estonia||Argentina||Philippines||Kiribati||British Indian |
|Finland||Aruba||Saudi Arabia||Marshall |
|Greece||Belize||Taiwan||New Zealand |
|Central African |
|Ireland||British Virgin |
|Other Countries||Papua New|
|Isle of Man||Cayman |
|Italy||Chile||Afghanistan||Polar regions||Cote d’Ivoire|
|Andorra||St Kitts |
|Morocco incl. |
|St Maarten||North Korea||Namibia|
|Gibraltar||St Vincent |
|Qatar||Sao Tome |
|Turks and |
|San Marino||Uruguay||Tajikistan||Seychelles and|
|Ukraine||Venezuela||United Arab |
|West Indies||Uzbekistan||St Helena and |
Download this table Table 2: Geographical groupings used in the International Trade in Services (ITIS) Survey.xls .csv
This provides a range of information that describes the quality of the outputs and details any points that should be noted when using the output. We have developed guidelines for measuring statistical quality; these are based upon the five European Statistical System (ESS) quality dimensions covered in this section.
Why you can trust our data
The ONS is the UK’s largest independent producer of statistics and is the country's National Statistics Institute. The Data Policies and Information Charter, available on the ONS website, detail how data are collected, secured and used in the publication of statistics. We treat the data that we hold with respect, keeping it secure and confidential, and we use statistical methods that are professional, ethical and transparent. More information about our data policies is available.Back to table of contents
How we collect the data, main data sources and accuracy
Annual International Trade in Services (ITIS) data are collected using paper questionnaires with manual input of data onto the system while quarterly ITIS data are input via batch take on from Quarter 1 (Jan to Mar) 2017.
To improve the efficiency of the survey operations and reduce the burden on respondents, Telephone Data Entry (TDE) is now being used for all annual respondents to register a nil response.
Data relating to the import or export of goods are excluded from this survey as they are already collected in the estimates for UK trade. However, merchanting (earnings from arranging the sale of goods between two countries outside the UK and where the goods never physically enter the UK) are included along with earnings from commodity trading. As with merchanting, the services element is calculated as the businesses' profit minus the loss.
Written reminders are issued to non-responders, which are subsequently followed by telephone reminders to try to minimise non-response and any associated non-response bias. The ITIS survey is covered under the Statistics of Trade Act 1947, meaning legal action can be taken against persistent non-responders, though we prefer to work together with businesses to produce the necessary information. Response rate targets are 85% for both annual and quarterly ITIS.
How we process the data
Annual ITIS Processing Cycle based on 2020 as the reference period
Selection: September or October 2020
Dispatch forms: January 2021
Close for provisional results: June 2021
Deliver provisional results: August 2021
Close for final results: September to October 2021
Deliver final results: November 2021
Benchmark quarterly data using 2020 estimates: November 2021
ITIS statistical dataset published: January 2022
How we analyse and interpret the data
Analysis of ITIS is carried out at a number of levels to limit the margin for error. This is carried out at product, country, industry and concern level. Concern is an identifier used to determine which part of the sample reporting units are found in.
How we quality assure and validate the data
Returned information is run through a series of checks to identify errors. These checks ensure that:
responses to individual questions are consistent within the questionnaire, that is, totals equate to the sum of the parts
the return is consistent with historical data from the business
Data clearance is the point at which data become error-free. The target clearance rates for both annual and quarterly ITIS are 98% of the achieved response by the agreed close-down date.
The method of outlier detection and treatment is based on the principle of Winsorisation. The aim is to identify the sample observations, which are felt not to be representative of unsampled companies. Outlier values are identified and modified prior to estimation using one-sided Winsorisation (since there are no negative values given as part of ITIS).
Imputation takes place when sampled respondents do not respond. Two methods of imputation are used by ITIS. Ratio imputation is used where historical data for a non-responder are present; data are taken from the previous corresponding periods and uprated by the average growth within the same cell. Mean or median imputation is used where no historical data are present; an imputed value is calculated by averaging returns from within the same cell as the non-responder.
For the annual survey, Horvitz-Thompson estimation is used to produce estimates for the entire population from sampled data. Estimates are produced separately for each industry by employment stratum and aggregated to produce high-level estimates.
The exception is the data obtained from the Annual Business Survey (ABS). Estimation is performed by multiplying design-weighted responses by the imputation weight and aggregating to the appropriate level.
Statistical disclosure control methodology is applied to ITIS survey data. This ensures that information attributable to an individual or individual organisation is not identifiable in any published outputs. The Code of Practice for Official Statistics and specifically the Principle on Confidentiality set out practices for how we protect data from being disclosed. The Principle includes the statement that the ONS outputs should "ensure that official statistics do not reveal the identity of an individual or organisation or any private information relating to them, taking into account other relevant sources of information".
How we disseminate the data
How we review and maintain the data processes
Previous data are used to ensure the quality of the time series. For example, at the aggregate level (country, industry, product and product group), checks are undertaken to ensure the latest years' are comparable as part of the time series in comparison with previous year values. If not, data queries are sent to understand drivers behind movements in the data.Back to table of contents