|Survey name||Annual Business Survey|
|Data collection||Sample of 73,000 businesses|
|How compiled||Sample-based survey|
|Related publications|| Importers and exporters |
This quality and methodology report contains information on the quality characteristics of the data (including the European Statistical System five dimensions of quality (PDF, 1.19MB)) 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
The Annual Business Survey (ABS), formerly known as the Annual Business Inquiry – part 2 (ABI/2), is an annual survey of businesses covering the production, construction, distribution and service industries, which represent approximately two-thirds of the UK economy, by gross value added (GVA).
Every year, ABS questionnaires are sent by the Office for National Statistics (ONS) to around 62,000 businesses in Great Britain, and by the Northern Ireland Statistics and Research Agency (NISRA) to around 11,000 businesses in Northern Ireland.
The ABS is the largest ONS business survey in terms of the combined number of respondents and variables it covers. It is the main resource for understanding the detailed structure and performance of businesses across the UK and is a large contributor of business information to the UK National Accounts.
The ABS provides a number of high-level indicators of economic activity, such as the total value of sales and work completed by businesses, the value of purchases of goods, materials and services, and total employment costs. The data published are estimates of totals for the calendar year, January to December.
The contribution of different industries to the overall value of economic activity can be assessed. Although estimates of employment from each company are not collected by the ABS, it is possible to get a measure of value added and costs per head to allow better comparison between industrial sectors of different sizes. This can be carried out using employment estimates from the Business Register Employment Survey (BRES), which are published alongside the ABS data in the ABS releases.
The indicators in the ABS publications are collected and presented as monetary values or counts, for example, approximate gross value added (aGVA) and numbers of enterprises. They are essentially a snapshot of UK business activity and can be used to understand the level of the contributions to the UK economy from different sectors of the economy at any one time. The statistics produced are referred to as structural business statistics.
The ABS publishes estimates at national and regional level, for the UK non-financial business economy and industry breakdowns down to the detailed industry class four-digit UK Standard Industrial Classification 2007: SIC 2007 level. Regional data are produced in accordance with the Nomenclature of Units for Territorial Statistics (NUTS) NUTS classification. Further breakdowns by industry and geography, and additional variables are available on request from the ABS Special Analysis Team.Back to table of contents
The Annual Business Survey (ABS) measures business and financial information from UK businesses, including total turnover, total employment costs, total purchases, capital expenditure, stocks and other aggregates.
Variables derived from these statistics, such as approximate gross value added (aGVA) at basic prices are also published by the ABS. Detailed industry and geographical breakdowns are available.
The ABS estimates cover the UK non-financial business economy. This is approximately two-thirds of the whole UK economy, by gross value added (GVA). The Standard Industrial Classification: SIC 2007 industries that are included in the survey are:
agriculture (support activities 01.6 and hunting, trapping and related service activities 01.7), forestry and fishing – part of section A
production industries – sections B to E
construction industries – section F
distribution industries – section G
other service industries – sections H, I, J, K (insurance and reinsurance, groups 65.1 and 65.2 only), L, M, N, P (excludes public sector), Q (excludes public sector, and medical and dental practice activities, group 86.2), R, S
The ABS covers the insurance and reinsurance parts of the financial and insurance sector (groups 65.1 and 65.2 in section K). However, data for this industry have remained experimental and, due to ongoing volatility, it was decided to remove it from the ABS 2012 provisional release onwards.
Between 1997 and 2008, ABS estimates were published on the UK Standard Industrial Classification 2003: SIC 2003 system. In 2008, this system was updated to meet European requirements and estimates from 2008 are classified by SIC 2007.
Estimates from 1997 to 2008, converted from SIC 2003 to SIC 2007 are available on the ABS web pages.
Uses and users
ABS outputs may be used to answer questions such as:
How much wealth has been created in a particular industry?
Has there been a shift in activity from one industrial sector to another and which industry groups, classes or subclasses are driving the change?
Are any industries particularly dominant in specific regions or countries of the UK and are there structural changes over time?
How productive is a particular industry, such as the chemicals sector, and what is its operating profitability?
Main users of the output include:
national accounts – for the compilation of supply and use tables, which show the sales and purchases relationships between consumers and producers by industry
indices of services and production – to calculate the weights used to produce the indices and to calculate the deflation of turnover
Eurostat – to meet the Structural Business Statistics Regulation requirements for annual structural statistics to inform and monitor European Union policy
the Scottish Government and the Welsh Government – to calculate the Scottish and Welsh indices of production, to produce Scottish and Welsh supply and use tables, to inform and monitor policy
the Department for Business, Energy and Industrial Strategy (BEIS) ¬– to assess the structure and performance of UK industries
the Inter-Departmental Business Register Team – to update information on UK businesses held on the register
Department for International Trade – assessing the impact of importers and exporters in UK industries
local authorities – for economic research, planning purposes, lobbying and economic strategy
business development consultants – to understand trends in industry sectors and UK regions
marketing experts – demographic mapping and market segmentation analysts, to carry out detailed analysis of UK business using microdata
local and national government departments and bodies, businesses, academics and the public
Full details on the background and history, uses and users, and concepts and statistical methods underlying the ABS can be found in the ABS technical report.
Strengths and limitations
The main strengths of the ABS include:
the ABS response rate is consistently above 75% at the publication of results
the ABS questionnaires are tailored to each industry, minimising respondent burden
the high level of detail in ABS data allows the user a thorough insight into the activities of businesses within the UK
The main limitations of the survey include:
the first national data release is published 11 months after the period to which the data relate, due to the size and complexity of the survey
sample selection is carried out using a stratified random sample design, which means there are year-on-year sample changes within ABS; this highlights that the data cannot be treated as a time series, however, it does allow for analysis at a point in time as the sample is representative
For the publication of the Annual Business Survey (ABS) 2017 onwards, the bulletin is a combined ABS release of both the UK and regional data. The first release of the combined bulletin was May 2019.
ABS Government User Group meetings are held biannually to give an opportunity for any changes or developments to the ABS to be discussed directly with its government users, in order that, where possible, their requirements can be met.Back to table of contents
This report provides a range of information that describes the quality of the output 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. This report addresses these quality dimensions and other important quality characteristics, which are:
relevance, timeliness and punctuality
coherence and comparability
accuracy and reliability
assessment of user needs and perceptions
More information is provided about these quality dimensions in the following sections.
The Annual Business Survey (ABS) meets the quality standards required by its UK and legal obligations for the collection and delivery of business statistics as described in this section. However, the ABS Team also seeks to continually improve the quality of ABS statistics and services for its wider users, informed by the collection and analysis of feedback from users.
Relevance is the degree to which the statistical product meets user needs for both coverage and content.
The ABS collects data that fulfils the UK’s obligations under the Structural Business Statistics (SBS) Regulation of the European Union, established by the Council Regulation (EC, Euratom) Number 58/97 of 20 December 1996. This established a common framework to produce European Community statistics on the structure, activity, competitiveness and performance of businesses in the Community.
It was recast (Regulation (EC) Number 295/2008) for the 2008 survey with new demands and the move to Standard Industrial Classification 2007. Data are transferred to Eurostat and used for policy monitoring and formulation by the EU, and as a source for annual structural statistics.
The ABS also meets its requirements as a statutory annual survey conducted under the Statistics of Trade Act 1947, for the production of the UK National Accounts (for the compilation of supply and use tables, which provide a framework for understanding and analysing the interdependence of industries in the UK) and to give weights for index aggregation and turnover deflation for the indices of services and production.
Timeliness and punctuality
Timeliness refers to the lapse of time between publication and the period to which the data refer. Punctuality refers to the time lag between the actual and planned dates of publication.
The ABS publishes its releases annually, which is updated on the Office for National Statistics (ONS) release calendar. The release dates are usually published 12 months in advance.
The ABS has consistently met the target publication deadlines. If there are any changes to the preannounced 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 Statistics.
In 2018, a view was taken to change the publication dates of the national and regional revised results. Bringing forward the release dates means that data are consistent with data used within the annual supply-use balancing process. Furthermore, from the publication of the ABS 2017 inquiry onwards, the bulletin will form part of a combined ABS release of both the UK and regional data. The first release of the combined bulletin was published in May 2019.
ABS provisional national results are published 11 months after the end of the calendar year reference period, revised national results are published 16 to 17 months after the end of the reference period and the final revised results are published 28 to 29 months after the end of the reference period.
The time lag between the collection and publication of ABS results reflects the size and complexity of the survey. Detailed breakdowns by industry and geography require detailed responses from a large number of businesses (62,000 businesses answering questions drawn from a possible 600). It is not possible to collect this large quantity of data more frequently, as this would place an unacceptable level of burden on businesses and would require a prohibitively large resource to process results.
Therefore, the ABS is used to explore the UK non-financial business economy in detail, but we also publish timelier, but less detailed, short-term indicators (for example, the monthly retail sales release). In this way, the need for detailed analysis as well as timeliness is met.
November – Provisional national results (for previous calendar year)
April or May – Revised national results (including revision of the previous survey year)
April or May – Revised regional results (including revision of the previous survey year)
Release dates are published on the ONS release calendar.
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.
We produce other business statistics in addition to the ABS, some of which publish the same or similar variables. The Government Statistical Service (GSS) Business Statistics Interactive User Guide allows users to find out what official business statistics are available and provides information that allows users to choose the right data for their needs. The guide is suitable for non-expert users, and users who are not familiar with the full range of business statistics available. The interactive user guide covers around 200 variables from around 40 different sources.
There are differences between the ABS approximate measure of gross value added (GVA) at basic prices and the measure published by national accounts. National accounts carry out scope adjustments, coverage adjustments, conceptual and value adjustments such as subtracting taxes and adding subsidies not included in the ABS measure, quality adjustments and coherence adjustments. The national accounts estimate of GVA uses input from a number of sources and covers the whole UK economy, whereas ABS does not include some parts of the agriculture and financial activities sectors, or public administration and defence. ABS total GVA is approximately two-thirds of the national accounts whole economy GVA, because of these differences in scope, coverage and calculation.
Real (inflation-adjusted) estimates of regional GVA are published by regional accounts as well as nominal (non-inflation-adjusted) regional GVA estimates and regional GVA at basic prices. ABS only publish aGVA estimates at basic prices.
Further discussion of these and other issues is presented in the ABS technical report.
The ABS is designed in accordance with Eurostat regulations (Regulation (EC) Number 295/2008) to ensure comparability across European Union member states. An important aspect of this is the use of the UK’s Standard Industrial Classification of Economic Activities system (SIC), which is consistent with the European Union’s NACE system of industry classification.
The UK is required by European legislation to revise the SIC in parallel with NACE so that both systems remain identical down to and including the four-digit class level. In the UK SIC, a further breakdown is provided for certain classes by the addition of a five-digit subclass level. Both the UK SIC 2007 and NACE (Revision 2) are completely consistent with the fourth revision of the UN’s International Standard Industrial Classification of all Economic Activities (PDF, 1.04MB) (ISIC Revision 4). Results for ABS are available on the SIC 2003 system for the reference years 1995 to 2007.
However, following the 2007 review, SIC 2003 was updated to SIC 2007, to reflect changes to the structure of the European economy, for example, the growth in technology industries. As a result, ABS estimates from reference year 2008 onwards are published classified by SIC 2007 and these are not directly comparable with the earlier results published on SIC 2003. In response to user feedback, the ABS Team published the 1997 to 2007 estimates converted from SIC 2003 to SIC 2007. Converted values for all the variables in the national and regional results are available, for industry levels down to industry division (two-digit SIC).
Accessibility and clarity
Accessibility is the ease with which users are able to access the data, also reflecting the format(s) in which the data are available and the availability of supporting information. Clarity refers to the quality and sufficiency of the metadata, illustrations and accompanying advice.
Our recommended format for accessible content is a combination of HTML web pages 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.
Concepts and definitions
Approximate gross value added (aGVA) represents the amount that individual businesses, industries or sectors contribute to the economy. Generally, this is measured by the income generated by the business, industry or sector less their intermediate consumption of goods and services used to produce their output, labour costs and an operating surplus.
More information on aGVA and the variables published by the ABS can be found in the ABS technical report.
Regional ABS aGVA estimates are produced in accordance with the Nomenclature of Units for Territorial Statistics (NUTS) NUTS classification. This provides a single uniform breakdown for the production of regional statistics.
We publish regional aGVA estimates at NUTS1 level for Wales, Scotland, Northern Ireland and the nine English regions. Lower breakdowns of NUTS classification are available on request or through the ABS Special Analysis Team.
Why you can trust our data
The ONS is the UK’s largest producer of statistics and is its national statistics institute. The Data Policies and Information Charter, available on the ONS website, details how the data are collected, secured and used in the publication of statistics. We treat the data we hold with respect, keeping them secure and confidential, and we use statistical methods that are professional, ethical and transparent.
The Annual Business Survey has National Statistics status, designated by the UK Statistics Authority in accordance with the Statistics and Registration Service Act 2007. This designation signifies compliance with the Code of Practice for Statistics, which has recently been updated and focuses on trustworthiness of data in greater depth.Back to table of contents
How we collect the data, main data sources and accuracy
The Annual Business Survey (ABS) covers the UK non-financial business economy, which represents around two-thirds of the whole economy of the UK by gross value added. The Standard Industrial Classification 2007 industries covered by ABS are agriculture, forestry and fishing, production industries, construction industries, distribution industries, and other service industries (sections A to S).
The ABS covers the insurance and reinsurance parts of the financial and insurance sector (groups 65.1 and 65.2 in section K). However, data for this industry have remained experimental and, due to ongoing volatility, we have decided to remove them from the ABS 2012 provisional release and future ABS releases while a more detailed quality assessment is undertaken. This does not affect other industries.
The main areas excluded are:
agriculture – section A (crop and animal production, groups 01.1, 01.2, 01.3, 01.4 and 01.5)
financial activities – section K (groups 64, 65.3, 66)
public administration and defence – section O
activities of households as employers; undifferentiated goods and services-producing activities of households for own use – section T
of extraterritorial organisations and bodies – section U
Employment data are not collected by the ABS. The employment variables published by the ABS are collected by the Business Register and Employment Survey (BRES). BRES is optimised for the collection of employment data from local units and uses different sample and questionnaire designs, and different validation and estimation methodologies to the ABS. The sampling frames are also created at different points in time. This means that care must be taken with the interpretation of measures calculated using the ABS variables and the BRES employment variables, for example, “per number of people in employment” measures of productivity.
The ABS sample frame is the Inter-Departmental Business Register (IDBR). The IDBR covers businesses in all parts of the economy, except those that are not registered for Value Added Tax (VAT) or Pay As You Earn (PAYE), which includes very small businesses, the self-employed, those without employees, and those with low turnover. Some non-profit making organisations are also not registered on the IDBR.
The IDBR covers nearly 99% of UK economic activity. It is used by government departments, including the Office for National Statistics (ONS), as the sampling frame for most business surveys. The ABS draws its sample from approximately 2.7 million businesses that are in scope for the survey.
In 2015, as described in Improving the Coverage of the Standard Business Survey Population (PDF, 150KB) the coverage of the ONS Standard Business Survey Population was expanded to include a population of solely PAYE-based businesses. This increased the population by approximately 92,000 businesses.
Data are collected for the ABS by the ONS from around 62,000 businesses in Great Britain, and by the Northern Ireland Statistics and Research Agency (NISRA) from around another 11,000 businesses in Northern Ireland.
Sample selection is carried out using a stratified random sample design. Groups of businesses (called cells) are defined by three criteria: employment size-band, industry (Standard Industrial Classification 2007) and UK country. There are around 4,800 of these cells in the ABS design.
Sample selection occurs independently for each cell. When the sample is designed, the size of the sample in each cell is determined by an algorithm that distributes the sample amongst the cells to give the lowest estimated variance (uncertainty). This design is significantly more efficient (that is, it gives a much more precise estimate for the same sample size) than a simple, unstratified random sample and is more accurate than a census with a poor response rate.
A sample re-optimisation is carried out every five years to improve the efficiency of the sample estimation and reduce sampling variability as part of the regular process to improve estimates.
How we process the data
Imputation techniques are used to estimate the value of the missing data due to non-response.
Imputation is carried out for large businesses with an employment of 250 persons or more, and for businesses with low employment but high turnover. To calculate imputed values, ratio imputation is used. This uses the returned values of businesses within a similar industry and with a similar size to estimate the value of missing responses.
For non-responding businesses with fewer than 250 persons employment and without a high turnover, imputation is not carried out and totals are estimated using adjusted weights.
In order to calculate estimates of totals for an entire population from data collected from a sample, ABS uses standard statistical weighting methods. Essentially the results received from the sample are multiplied by two weights.
The design weight, or “a-weight”, accounts for the fraction of the population in a particular stratum that the sample represents for that stratum. So, for example, if one business out of every five is selected in a particular stratum, each selected business will have an a-weight of five, as it “represents” five businesses in the population.
The calibration weight, or “g-weight”, makes a correction for any imbalance in the sample. For example, in a random selection of five businesses out of a population of 10, it is possible that the five businesses selected have, by chance, higher values for the variables of interest than the non-sampled businesses. If no correction is made, the population total would be over-estimated due to the variability in the population.
Auxiliary information, that is, information not collected by the survey, but already available for every business, that is statistically related to the variable of interest, is used to correct for this effect. The ratio of the actual population total for the auxiliary variable to the population total estimated from the sample’s auxiliary variables is calculated and this is called the g-weight.
For ABS, the auxiliary variables are the Inter-Departmental Business Register employment and turnover, with the choice dependent on the variable being estimated. Due to some strata containing small numbers of businesses, g-weights are calculated within groups of strata; strata representing the three smallest size bands are typically collapsed to form a g-weight band whereas strata representing larger size bands are not collapsed.
For the ABS, outliers are defined as those returned values that are atypical when compared with similar businesses and also have a large impact on estimated totals. When outliers are identified, the a- and g-weights of the outlier are reduced to one, so that they do not have a large distorting effect on the estimates. The weights of other businesses in the same cell as the outlier are then recalculated.
Statistical disclosure control methodology is applied to ABS data. This is to make sure that information attributable to an individual or individual organisation is not identifiable in any published outputs.
The Code of Practice for Statistics and specifically the pillar on trustworthiness set out practices for how individual data are protected from disclosure. The pillar includes the statement that “…Personal information should be kept safe and secure, applying relevant security standards and keeping pace with changing circumstances such as advances in technology.” (Practice T6.3, Data governance). More information can be found in National Statistician’s Guidance: Confidentiality of Official Statistics (PDF, 238KB) and also on our disclosure control pages.
How we quality assure and validate the data
The ABS meets its legal requirements for statistical accuracy. However, as in all surveys, the estimates from the ABS are subject to various sources of error. The total error in a survey estimate is the difference between the estimate derived from the data collected and the true (unknown) value for the population. The total error consists of two main elements: the sampling error and the non-sampling error. The ABS was designed to minimise both these errors.
The sampling error is the error that arises because the estimate is based on a survey rather than a census of the population. The results obtained for any single sample may, by chance, vary from the true values for the population but the variation would be expected to be zero on average over a number of repeats of the survey.
The standard error gives an indication of the magnitude of the sampling error. We expect 95% of our estimates for a variable to be within two standard errors of the true unknown value for the population. The closer the standard error to zero, the more precise the estimate.
The coefficient of variation is the standard error of a variable divided by the survey estimate and it is used to compare the relative precision across surveys or variables. The closer the coefficient of variation is to zero, the more precise the estimate in percentage terms.
Sampling errors for the ABS are available down to four-digit Standard Industrial Classification 2007 class level for the following variables:
approximate gross value added at basic prices
total purchases of goods and services
total net capital expenditure
Non-sampling errors are not easy to quantify but can be caused by coverage issues, measurement, processing and non-response.
The main non-sampling error quality issues for the ABS are listed in this section.
It is difficult to accurately quantify the effect of response inaccuracy. Questionnaires are tailored to industrial sector, so that businesses are only asked to respond to questions relevant to their industry. This helps to reduce inaccuracy. In addition, ABS has a rolling programme of questionnaire reviews, to improve and clarify the survey questions and supporting notes, and hence to help respondents complete the survey more accurately.
The ABS Questionnaire Review (PDF, 151KB) reports on the June 2011 review of the ABS catering and services industries questionnaires. Upon receipt of the questionnaires, responses are validated and edited where necessary. This process involves automatic totalling and rounding, date tests and selective editing using the SELEKT tool. For further information on editing, see Section 5.1 of the ABS technical report.
ABS calendar year results
ABS results are published for calendar years. However, in order to reduce the burden on respondents, businesses have, and some use, the option to return data for their business year-end, covering any 12-month period up to and including the end of the financial year that follows the end of the calendar year. It is possible that, particularly if the economy is undergoing a period of rapid change such as during an economic downturn, the different reporting periods could introduce some bias.
Data are collected by ABS at the reporting unit level. These data are then divided amongst the businesses’ local sub-units (“apportioned”) to produce the regional results. This means that the regional results are less accurate than if the data were collected at the sub-unit level, but the burden on businesses and resource costs of carrying out the ABS at the local unit level are prohibitive.
At present, employment information from the Business Register and Employment Survey (BRES), which is collected at the sub-unit level, is used to apportion national results to regional estimates. Apportionment of Financial Variables Using BRES Local Unit Turnover Data (PDF, 202KB) describes the analysis of proposals for apportioning ABS UK financial data to the UK regions using BRES local unit turnover data, which may be a better proxy for most financial variables than employment.
Industry classification in the Inter-Departmental Business Register
Industry re-classification of a business can occur due to a relatively small change to the nature of its operation and this can have a significant effect on ABS estimates by industry. In addition, the correction of misclassification of businesses can lead to bias, particularly where there is systematic movement from one industry to another. This is because, where classification updates are identified via survey returns, it is only units in the survey sample that are updated.
Where a survey does not cover the whole business population, such as the ABS, re-classification can lead to units moving out of the sample, but never into it. In the ABS, this effect is likely to be small and is corrected for by adjusting the weights of the businesses that remain in the sample.
More detailed information on these and other quality issues is available in the ABS technical report.
How we disseminate the data
ABS data are disseminated primarily through publication of statistical bulletins and ad-hoc releases on the ONS website. The publication schedule is detailed under Timeliness and punctuality. ABS publishes regular statistical bulletins, with releases increasingly promoted through the use of ONS social media accounts.
The ABS sends data to Eurostat to be used in the production of European statistics. ABS also submits data to the Secure Research Service (SRS), which allows approved researchers to access to the data, usually academics or researchers from other government departments.
How we review and maintain data processes
A sample re-optimisation is carried out every five years to improve the efficiency of the sample estimation and reduce sampling variability as part of the regular process to improve estimates.
Questionnaires are constantly under review to improve and clarify the survey questions.
Future data are used to inform and revise previous reference periods, to ensure the quality of the data. Planned revisions usually arise from either the receipt of additional data from late-responding businesses or the correction of errors to existing data by businesses responding to the ABS.Back to table of contents
Assessment of user needs and perceptions: the processes for finding out about uses and users, and their views on the statistical products.
The Annual Business Survey (ABS) Team welcomes feedback from users through the Business and Trade Statistics Community on the Royal Statistical Society’s StatsUserNet. This is a forum to promote dialogue, share information and maintain close liaison between the producers and users of official business and trade statistics. Feedback, comments and requests are also sought from users of the ABS Special Analysis service and through the ABS Government User Group.
A summary of user feedback on all aspects of the ABS, together with the ABS Team’s plans to meet any identified unmet user need and a summary of the ABS user engagement plan can be found in Responding to ABS user needs (PDF, 151KB).
For information regarding conditions of access to data, please refer to the following links:
The Annual Business Survey (ABS) publications and data are available free of charge, for reference years 2009 to the present. Releases of the Annual Business Inquiry – part 2 (ABI/2), from 1995 to 2008 and methodology information are also available.
ABS releases include a quality and methodology section to aid user understanding and interpretation of ABS estimates.
The ABS technical report describes the procedures used by the Office for National Statistics to produce the Annual Business Survey. The report is aimed at users who want to know more about the background and history, uses and users, and concepts and statistical methods underlying the survey. It includes information about questionnaire development, sample design, data collection, results processing, publications and quality issues.
Further enquiries about ABS can be addressed to the ABS Team at email@example.com, or, to engage in discussion about the ABS and to share information with other users or producers of business statistics, visit the Business and Trade Statistics Community on the Royal Statistical Society’s StatsUserNet discussion forum.Back to table of contents