The Statistics of U.S. Businesses (SUSB) provides detailed annual data for all U.S. business establishments with paid employees by geography, industry, and enterprise size. This program covers all NAICS industries except crop and animal production; rail transportation; National Postal Service; pension, health, welfare, and vacation funds; trusts, estates, and agency accounts; private households; and public administration. The SUSB also excludes most government employees. Further, SUSB data for years 1988-1997 were tabulated based on the Standard Industrial Classification (SIC) system. The SUSB features several arts-related NAICS industries, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Graphic Design Services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Also, the SUSB features several arts related SIC industries, including the following: Commercial photography (SIC Code 7335) Commercial art and graphic design (SIC Code 7336) Museums and art galleries (SIC Code 8412) Dance studios, schools, and halls (SIC Code 7911) Theatrical producers and services (SIC Code 7922) Sports clubs, managers, & promoters (SIC Code 7941) Motion Picture Production & Services (SIC Code 7810) Data compiled for the SUSB are extracted from the Business Register (BR). The BR contains continuously updated data from the Census Bureau's economic censuses and currently business surveys, quarterly and annual Federal tax records and other department and federal statistics. SUSB data are available approximately 24 months after each reference year and are available for the United States, each state, and Metropolitan Statistical Areas (MSA). The annual SUSB consist of number of firms, number of establishments, annual payroll, and employment during the week of March 12. In addition, estimated receipts data are included for years ending in 2 and 7. Dynamic data, which are created from the Business Information Tracking Series (BITS), consist of the number of establishments and corresponding employment change for births, deaths, expansions, and contractions. The SUSB is important because it provides the only source of annual, complete, and consistent enterprise-level data for U.S. businesses, with industry detail. Private businesses use the data for market research, strategic business planning, and managing sales territories. State and local governments, as well as, budget, economic development, and planning offices use the data to assess business changes, develop fiscal policies, and plan future policies and programs. In addition, the data are the standard reference source for small business statistics. Users can view the latest SUSB annual data and employment change data on the main SUSB page. For more detailed industry and employment size classes, users can download additional data in comma-delimited format. Annual data are tabulated back to 1988 and employment change data back to 1989-1990. Data users can find news and updates about the SUSB data via the News & Updates section.

Abstract copyright UK Data Service and data collection copyright owner. The Annual Business Survey (ABS) is an annual survey of businesses covering the production, construction, distribution and service industries, which represents about two-thirds of the UK economy in terms of 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 Department for Finance and Personnel Northern Ireland (DFPNI) to around 9,000 businesses in Northern Ireland. Data for Northern Ireland are not available from the UK Data Archive. The ABS is the largest business survey conducted by the ONS in terms of the combined number of respondents and variables it covers (62,000 questionnaires despatched in Great Britain, with around 600 different questions asked). It is the key 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. 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, stocks, capital expenditure, and total employment costs. The contribution of different industries to the overall value of economic activity can be assessed and, although estimates of employment from each company are not now collected at the same time, by combining ABS with employment information from the Business Register and Employment Survey (BRES) it is also possible to get a measure of value added and costs per head to allow better comparison between industrial sectors of different sizes. The indicators in the ABS publications are collected and presented as monetary values or counts, for example, approximate Gross Value Added (aGVA), 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 ABS replaced the Annual Business Inquiry, Part 2 (ABI/2) in 2009, although ABS data are available for 2008. The BRES replaced the Annual Business Inquiry, Part 1 (ABI/1) in 2009. The BRES data for 2009 onwards are held separately under UK Data Archive SN 7463. ABI/1 and ABI/2 data for 2008 and earlier are held under UK Data Archive SN 6644, Annual Respondents Database: Secure Access (ARD). Researchers who are applying for access to the ABS and who also require data prior to 2008 are recommended to also apply for the ARD data under SN 6644. Linking to other business studies These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.For Secure Lab projects applying for access to this study as well as to SN 6697 Business Structure Database and/or SN 7683 Business Structure Database Longitudinal, only postcode-free versions of the data will be made available. Normal 0 false false false EN-GB X-NONE X-NONE / Style Definitions / table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;} Latest edition information For the 17th edition (August 2023), data files for 2020 have been revised and provisional data and documentation for 2021 have been added.

Abstract copyright UK Data Service and data collection copyright owner. The Annual Respondents Database (ARD) is constructed from a compulsory business survey. Until 1997 it was created out of the Annual Censuses of Production and Construction (ACOP and ACOC); these were combined into the Annual Business Inquiry (ABI) in 1998. The ARD is a census of large businesses, and a sample of smaller ones. Smaller firms may receive a "short form". These do not require detailed breakdowns of totals. Hence for certain variables the values may be imputed from third party sources or estimated rather than returned by respondents. This dataset is created for the Economic Analysis and Satellite Accounts Division for research purposes. To create the ARD, the other surveys are converted into a single consistent format linked by the Inter-Departmental Business Register references over time. Northern Ireland data is held up to 2001. From 2002, the ABI is collected and stored separately in Northern Ireland. Special permission is required to use new NI ABI data. ABI background The ABI is the financial information survey conducted by the Office for National Statistics (ONS). This is a statutory survey conducted under the Statistics of Trade Act 1947. Organisations are obliged under this legislation to provide a response. Businesses are sampled from the ONS business register current at the time of drawing the sample: first the CSO Business Register, which ran until 1993; then the Inter-Departmental Business Register, which has run from 1994 onwards. The ONS holds firms' responses to the ABI in the Annual Respondents Database (ARD). The ABI replaced the following annual survey systems in 1998:Annual Employment Survey (AES)Annual Censuses of Production and Construction (ACOP/ACOC), which include the Purchases Inquiry (PI)The six annual Distribution and Services (DSI) inquiries (Annual Wholesale Inquiry; Annual Retail Inquiry; Annual Motor Trades Inquiry; Annual Catering Inquiry; Annual Property Inquiry; and Annual Service Trades InquiryUntil 1997 the data were limited to the production and construction industries surveyed by the ACOP and ACOC (construction from 1993 only). The incorporation of the DSI inquiries for six additional sectors is reflected in the number of individual business contributors rising from approximately 15,000 for 1980 to 1996 to approximately 50,000 for 1997/98 and to over 70,000 for 1999. The ABI is one of the most comprehensive surveys undertaken of business organisations in the UK, covering over 100 key economic variables, and approximately two-thirds of the UK economy. Detailed variables for turnover, employment, costs, capital and the derivation of sales and profits are included. A firm-level measure of Gross Value Added (GVA) is also generated so that the productivity of organisations can be evaluated. The ABI samples UK businesses and other such establishments according to their employment size and industry sector. It is a census of large businesses, and a stratified sample of small and medium sized enterprises. The stratified sampling framework means that smaller firms move in and out of the survey. The forms are customised for industry sectors and sub-sectors. The statistics produced from the sample data are used primarily to assist in the generation of the National Accounts and the measurement of Gross Domestic Product (GDP). A number of different form-types are used in the survey. Long form-types are sent to all businesses with an employment of 250 or more and also to a proportion of selected businesses with lower employment. Short form-types are sent to the remaining selected businesses. The forms differ in that long form-types ask for a detailed breakdown of purchases; employment costs; taxes, duties and levies etc, whereas short form-types just ask for the totals of these variables. The data are collected in two parts: Part 1 is an employment record, collected as soon as possible after 12th December. Part 2 is for financial information, which may be submitted up to twelve months after the financial year end. Geographical references: postcodes The postcodes available in these data are pseudo-anonymised postcodes. The real postcodes are not available due to the potential risk of identification of the observations. However, these replacement postcodes retain the inherent nested characteristics of real postcodes, and will allow researchers to aggregate observations to other geographic units, e.g. wards, super output areas, etc. In the dataset, the variable of the replacement postcode is 'new_PC'. Linking to other business studies These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research. ARD, the Annual Business Survey (ABS) and the Business Register and Employment Survey (BRES) The ABI, Part 2 (ABI/2) was replaced by the ABS in 2009. The ABI, Part 1 (ABI/1) was replaced by the BRES in 2009. The BRES data for 2009 onwards are held separately under UK Data Archive SN 7463. ABS data for 2008 onwards are held under UK Data Archive SN 7451. Researchers who are applying for access to the ARD and who require data for 2009 onwards are recommended to also apply for the ABS data under SN 7451.

EUROSTAT maritime transport economic data can be found in two dataset: --> Table of trade and transport margins dataset Which data description is: Since September 2014, national accounts are compiled in accordance with the European System of Accounts - ESA 2010. Supply, use and input-output tables are part of the National Accounts transmission program. The timeliness for supply, use and input-output tables is set to 36 months after the end of the reference year. For example, data for the year 2015 should be transmitted to Eurostat not later tg-han by end of December 2018. The transmission program sets the requirements for the transmission of national data by Member States and partners countries. Every year countries transmit the supply and use tables. Every 5 years (for reference years ending with 0 or 5) countries transmit input-output tables (product by product) and detailed use tables at basic prices and valuation tables. Data are presented in million Euro in current prices (basic prices and a transformation into purchaser's prices for the supply side). The geographic coverage is the Member States of EU. Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union defines the requirements for Member States. The EU and EA consolidated Supply, use and input-output tables describe by product and industry the production processes and the transactions in products of the European Union economy with great detail. The consolidated supply, use and input-output tables for the EU describe the aggregation of the EU Member States data, from which the intra trade data has been treated (respectively for the Euro Area). The data is presented in a framework where the domestic part corresponds to the area of EU, the import part corresponds to imports from outside of the area EU. --> and in the structural business statistics - historical data (sbs_h) Which data description is: Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards. SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Iceland, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises) "Output related" variables (e.g. Turnover, Value added) "Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated. Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available. Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Abstract

The Census of Industrial Production (CIP) and construction was carried out from July to October 2018. The census aimed at providing key statistics to be used for development of the structure of the industrial sector; rebasing of the producer price index, compilation of Supply and Use tables, Input-Output tables, Value Added and other National Accounts statistics and industrial exports and imports for the balance of payments statistics. Whereas, the last CIP was conducted in 2010 with 2009 as the reference year, the 2018 CIP reference year was 2017.

Data collected in the census included general particulars of establishments/enterprises, employment, labour costs, income, expenditure, goods and materials consumed, goods produced, fixed assets, imports, exports, waste management, ICT usage and the general business environment. The Census therefore sought to: i. Provide information for mining and quarrying, manufacturing, electricity and gas supply, water and sewerage, and construction sectors to be used in revision and rebasing of the National Accounts. ii. Form the basis for revisions and rebasing of key indices such as the Index of Industrial Production (IIP) and the Production Price Index (PPI). iii. Collect data to be used to update the sampling register for the annual Survey of Industrial Production, Monthly Survey of Industrial Production and rebasing of the Construction Input Price Index (CIPI). iv. Provide data for computing baseline export/import price indices for the industrial sector. v. Provide updated information to monitor the growth and the gains in fish processing, agro-Processing, leather and textiles sub-sectors which have been put on focus in realization of the Government increase of manufacturing contribution to GDP which is one of its big four action plans.

Specifically, the CIP 2018 set to;

i. Provide benchmark data to update economic structure of the industrial sector from the CIP 2010 level, To provide data on Industrial Structure; Update the current frame which was last developed in 2009; Improve quality of industrial data through broadening of statistical database to cater for changes that have taken place since 2009. ii. Establish an industrial database and update the register which will monitor and reflect changes in the structure of industry and provide a frame for industrial surveys. iii. Provide data for use in compilation of Supply and Use Tables, input-output tables and other national accounts statistics. iv. Provide data for industrial output, and capacity utilization. v. Provide measures of key statistics and the economic structure for the construction sector Provide data for computing baseline export/import price indices for the industrial sector. vi. Provide data for rebasing the Producer Price Index (PPI), the Index of Industrial Production (IIP) and the Construction Input Price Indices (CIPI) vii. Provide a basis for assessing trends in the economy and the contribution of industrial activities to the national economy.

Geographic coverage

National coverage

Analysis unit

Formal establishments that were involved in Industrial production activities across all the 47 counties

This publication provides insight into the developments of Dutch companies whose main activity is industrial production. The data includes overviews of the number of companies, employment, operating income and operating expenses. This table contains the data of large companies (with 100 or more employed persons). The variables are classified by year and by classification of economic activity according to the Standard Industrial Classification 1993 (SBI'93). However, this publication does not contain data on the category 'Social employment' (SBI code 36631), because the main activity here is not industrial production, but the "offering of work to people who have poor opportunities on the regular labor market due to a disability". The data are included in a separate publication, you will find a reference to this in paragraph 3 of these explanatory notes. Data on all companies with industrial production as their main activity are also included in a separate publication. The description of the variables in that table is less detailed, but the table does contain an additional breakdown by size of the companies (measured by the number of employed persons). The figures are also supplied to the European Statistical Office (Eurostat). The annual statistics also form a permanent part of overarching statistical overviews such as the National Accounts and are therefore a source for policy and practice in the Netherlands. Data available from: 2000 Status of the figures: the annual figures for 2000 - 2005 are final Frequency: per year When will new figures be published? Publication in this form has been discontinued. The statistical research that forms the basis of the results has undergone a large number of changes for the year 2006 compared to previous years. For example, the questionnaire that companies are presented with in connection with the research has been radically changed. The population of companies described in the survey has also changed considerably as a result of a redesign of the General Company Register of Statistics Netherlands. Due to these changes, the results for 2006 are not comparable with those of previous years. That is why Statistics Netherlands has decided to start with a new table from the 2006 reporting year (see section 3). Changes compared to previous version(s): (July 2007 version) With effect from statistical year 2005, structural changes have taken place in the interpretation of the source material of a number of companies in SBI 22 (Printing and publishing) and 244 (Manufacture of pharmaceutical products) . A number of companies have been accounted for in the figures in a different way than in previous years in order to remain consistent with other statistics and to comply with international guidelines. The corrections also have an effect in aggregates of which the series mentioned are part. The amendments are aimed at keeping the description of Dutch industry as accurate as possible. (July 2006 version) As of the statistical year 2004, structural changes have taken place in the interpretation of the source material of a number of companies in SBI DL (Manufacture of electrical and optical instruments) and SBI 34 (Manufacture of cars, trailers and semi-trailers). In SBI DL (Manufacture of Electrical and Optical Instruments), the research and development by third parties, and therefore the cost of sales, from statistical year 2004 are not comparable with 2003 and earlier. In SBI 34 (Manufacture of cars, trailers and semi-trailers), the turnover from the main activity and the purchase value of turnover from the statistical year 2004 are not comparable with 2003 and earlier. (Version July 2005) In SBI 23 (Petroleum and coal processing industry; processing of fissile and propagating materials) and SBI 24 (Manufacture of chemical industry) a structural correction has been made in the observation of the item 'energy consumption' with effect from statistical year 2003 . The correction involves a shift from the value of purchased raw materials and consumables to energy consumption. The part of the purchased raw materials and consumables that is used for own energy generation, for example converting naphtha into gas for own production, is regarded as energy consumption. For the comparability of the figures in this table over time, the relevant correction has also been made for the years 2000 up to and including 2002. (October 2004 version) As a result of new information becoming available, the published figures for the year 2002 in the section DL (Manufacture of electrical and optical apparatus and instruments) an adjustment was made to the variables 'Research & development by third parties' and 'Other revenue n.e.c.'. No changes have been made to previous publications in previous years.

Abstract

The main objective of undertaking this survey of 2019 is to generate data that are statistically representative for urban businesses operating in the country with a fixed location; with the aim of bridging the information or data gaps those were created by the conflict on businesses in the country.

The specific objectives will be to:

• Obtain the spread of businesses by economic activity
• Determine the employment in businesses by sex
• Determine the ownership status of businesses
• Determine the location of businesses in the country
• Determine the age of businesses and status of computer use and ownership.
• Determine the cost and profit structure of businesses as well as the inventory
• Determine the perception of regulations and doing business
• Determine the impact of the conflict on businesses

Geographic coverage

Coverage of business establishments in the 12 most populated urban areas of South Sudan in 2019. Towns included are Aweil, Bor, Juba, Kuajok, Maridi, Nimule, Renk, Rumbek, Tonj, Torit, Wau and Yambio.

Analysis unit

Businesses

Kind of data

Sample survey data [ssd]

Sampling procedure

The IBES 2019 generated the required Business Register for business establishments in South Sudan, which can be used for any business establishment survey. For enterprise surveys, an Establishment Censuses (EC) or business registries undertaken by a country at regular intervals generally provide the sampling frame, giving a count of enterprises and workers by broad industry group at the primary level of geographical units. In South Sudan there is no establishment census or useable business registry that has ever been undertaken, and in such circumstances, the listing of businesses/enterprises and workers by broad industry group in the concerned geographic areas was used as the only option. As it was done for the IBES 2010, the listing of all enterprises and workers (in formal and informal sectors) by broad industry group for the selected 12 major towns/cities that took place in June-July 2018 listed 13, 348 businesses that served as the sampling frame for the IBES 2019. This listing process collected minimum required information for sampling frame purposes, such as name and location of each business establishments, the main economic activity of the business in ISIC format, number of workers/employees, registration status, maintaining regular accounts or not and the year of establishment, among others.

Formal and Informal Sectors: The existing definition of formal business used in IBES 2010 as described above had limitations due to the fact that it did not consider the registration status with tax government agency (i.e. value added tax and/or income tax), and the status of keeping accounts, which was recommended and implemented in IBES 2019. The required information for the new definition of “formal sector” was also collected during the listing operation.

Using the information collected from the listing operation, about 55 percent of listed business establishments were formal irrespective of the employment size. However, when the employment size factor was considered, i.e. adding a third condition of having 6 or more employees (Medium and Large business establishments), only about 10.7 percent of business establishments were classified as “formal sector”. Given also the fact that the average number of employees per surveyed enterprises in 2010 was 2.7, and that about 58.7 percent of listed business establishments had 0-2 employees, it was highly important to have proper definition of Micro, Small, Medium and Large enterprises in terms of number of employees for sampling purposes. Based on the information of the IBES 2019 listing operation, table 3 describes the distribution of listed business establishments by different size of employment. It is observed that 13.8 percent of listed business establishments are classified as medium and large.

Sampling and stratification: The IBES 2019 sampling frame includes 13,348 business establishments from both formal and informal sectors based on the new definition. In order to improve the sampling efficiency for business surveys, it was important to stratify the business enterprises in the frame by size of employment, generally defined in terms of the total number of employees. Therefore, the frame was stratified by the following categories of employment size:

• 0-2 employees
• 3-5 employees
• 6-9 employees
• 10+ employees

The reasons of proposing these categories of employment size for stratification are that in developing countries, business environment is largely composed of informal sector where the majority of business establishments are micro and small in nature. For example, many business establishments are small shops in the neighborhood, and often owned by households, and most of the time, the family will employee 1 or 2 people to work in such shops. For business surveys, it is very important to stratify them under such small employment size to capture the reality on the ground. The same employment size category is also used to allow comparability with IBES 2010 survey. Given the important contribution of the medium and larger business enterprises to the value of production, capital investment, value added and other measures of the economy, and comparability with IBES 2010, it was important to include all the business establishments with 6 or more employees in the IBES 2019 sample with certainty (that is, with a probability of selection equal to 1). Therefore, there were 1,838 business establishments with 6 or more employees for all economic sectors in the sampling frame.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire is structured.

Response rate

The response rate for the IBES 2019 was 87 percent.

Abstract

The intention is to collect data for the calendar year 2009 (or the nearest year for which each business keeps its accounts. The survey is considered a one-off survey, although for accurate NAs, such a survey should be conducted at least every five years to enable regular updating of the ratios, etc., needed to adjust the ongoing indicator data (mainly VAGST) to NA concepts. The questionnaire will be drafted by FSD, largely following the previous BAS, updated to current accounting terminology where necessary. The questionnaire will be pilot tested, using some accountants who are likely to complete a number of the forms on behalf of their business clients, and a small sample of businesses. Consultations will also include Ministry of Finance, Ministry of Commerce, Industry and Labour, Central Bank of Samoa (CBS), Samoa Tourism Authority, Chamber of Commerce, and other business associations (hotels, retail, etc.).

The questionnaire will collect a number of items of information about the business ownership, locations at which it operates and each establishment for which detailed data can be provided (in the case of complex businesses), contact information, and other general information needed to clearly identify each unique business. The main body of the questionnaire will collect data on income and expenses, to enable value added to be derived accurately. The questionnaire will also collect data on capital formation, and will contain supplementary pages for relevant industries to collect volume of production data for selected commodities and to collect information to enable an estimate of value added generated by key tourism activities.

The principal user of the data will be FSD which will incorporate the survey data into benchmarks for the NA, mainly on the current published production measure of GDP. The information on capital formation and other relevant data will also be incorporated into the experimental estimates of expenditure on GDP. The supplementary data on volumes of production will be used by FSD to redevelop the industrial production index which has recently been transferred under the SBS from the CBS. The general information about the business ownership, etc., will be used to update the Business Register.

Outputs will be produced in a number of formats, including a printed report containing descriptive information of the survey design, data tables, and analysis of the results. The report will also be made available on the SBS website in “.pdf” format, and the tables will be available on the SBS website in excel tables. Data by region may also be produced, although at a higher level of aggregation than the national data. All data will be fully confidentialised, to protect the anonymity of all respondents. Consideration may also be made to provide, for selected analytical users, confidentialised unit record files (CURFs).

A high level of accuracy is needed because the principal purpose of the survey is to develop revised benchmarks for the NA. The initial plan was that the survey will be conducted as a stratified sample survey, with full enumeration of large establishments and a sample of the remainder.

Geographic coverage

National Coverage

Analysis unit

The main statistical unit to be used for the survey is the establishment. For simple businesses that undertake a single activity at a single location there is a one-to-one relationship between the establishment and the enterprise. For large and complex enterprises, however, it is desirable to separate each activity of an enterprise into establishments to provide the most detailed information possible for industrial analysis. The business register will need to be developed in such a way that records the links between establishments and their parent enterprises. The business register will be created from administrative records and may not have enough information to recognize all establishments of complex enterprises. Large businesses will be contacted prior to the survey post-out to determine if they have separate establishments. If so, the extended structure of the enterprise will be recorded on the business register and a questionnaire will be sent to the enterprise to be completed for each establishment.

SBS has decided to follow the New Zealand simplified version of its statistical units model for the 2009 BAS. Future surveys may consider location units and enterprise groups if they are found to be useful for statistical collections.

It should be noted that while establishment data may enable the derivation of detailed benchmark accounts, it may be necessary to aggregate up to enterprise level data for the benchmarks if the ongoing data used to extrapolate the benchmark forward (mainly VAGST) are only available at the enterprise level.

Universe

The BAS's covered all employing units, and excluded small non-employing units such as the market sellers. The surveys also excluded central government agencies engaged in public administration (ministries, public education and health, etc.). It only covers businesses that pay the VAGST. (Threshold SAT$75,000 and upwards).

Kind of data

Sample survey data [ssd]

Sampling procedure

-Total Sample Size was 1240 -Out of the 1240, 902 successfully completed the questionnaire. -The other remaining 338 either never responded or were omitted (some businesses were ommitted from the sample as they do not meet the requirement to be surveyed) -Selection was all employing units paying VAGST (Threshold SAT $75,000 upwards)

WILL CONFIRM LATER!!

OSO LE MEA E LE FAASA...AEA :-)

Mode of data collection

Mail Questionnaire [mail]

Research instrument

1. General instructions, authority for the survey, etc;
2. Business demography information on ownership, contact details, structure, etc.;
3. Employment;
4. Income;
5. Expenses;
6. Inventories;
7. Profit or loss and reconciliation to business accounts' profit and loss;
8. Fixed assets - purchases, disposals, book values
9. Thank you and signature of respondent.

Supplementary Pages Additional pages have been prepared to collect data for a limited range of industries. 1.Production data. To rebase and redevelop the Industrial Production Index (IPI), it is intended to collect volume of production information from a selection of large manufacturing businesses. The selection of businesses and products is critical to the usefulness of the IPI. The products must be homogeneous, and be of enough importance to the economy to justify collecting the data. Significance criteria should be established for the selection of products to include in the IPI, and the 2009 BAS provides an opportunity to collect benchmark data for a range of products known to be significant (based on information in the existing IPI, CPI weights, export data, etc.) as well as open questions for respondents to provide information on other significant products. 2.Tourism. There is a strong demand for estimates of tourism value added. To estimate tourism value added using the international standard Tourism Satellite Account methodology requires the use of an input-output table, which is beyond the capacity of SBS at present. However, some indicative estimates of the main parts of the economy influenced by tourism can be derived if the necessary data are collected. Tourism is a demand concept, based on defining tourists (the international standard includes both international and domestic tourists), what products are characteristically purchased by tourists, and which industries supply those products. Some questions targeted at those industries that have significant involvement with tourists (hotels, restaurants, transport and tour operators, vehicle hire, etc.), on how much of their income is sourced from tourism would provide valuable indicators of the size of the direct impact of tourism.

Cleaning operations

Partial imputation was done at the time of receipt of questionnaires, after follow-up procedures to obtain fully completed questionnaires have been followed. Imputation followed a process, i.e., apply ratios from responding units in the imputation cell to the partial data that was supplied. Procedures were established during the editing stage (a) to preserve the integrity of the questionnaires as supplied by respondents, and (b) to record all changes made to the questionnaires during editing. If SBS staff writes on the form, for example, this should only be done in red pen, to distinguish the alterations from the original information.

Additional edit checks were developed, including checking against external data at enterprise/establishment level. External data to be checked against include VAGST and SNPF for turnover and purchases, and salaries and wages and employment data respectively. Editing and imputation processes were undertaken by FSD using Excel.

Sampling error estimates

NOT APPLICABLE!!

This report provides a comprehensive analysis of poverty and inequality in Tanzania and identifies some priority actions if poverty is to be reduced. The analysis is contained in two parts. The first part is based on the results of the Household Budget Surveys (HBSs) for 2017-18, 2007, and 2011-12; several rounds of National Panel Surveys (NPSs); and Demographic Health Survey (DHS) data; it also combines spatial information from the population census and other sources with HBS data to (1) provide a rigorous analysis of the evolution, profile, and determinants of poverty and inequality; (2) explore movements in and out of poverty and their drivers; and (3) examine the distribution of poverty and living conditions across the country at a detailed geographic level. The second part examines the pattern of structural transformation, firm profiles, job creation, and financial inclusion using the rebased GDP figures released in February 2019 plus data from the Statistical Business Register (SBR), Census of Industrial Production (CIP), national accounts, NPS, Integrated Labor Force Surveys (ILFS), and other sources. Executive summary can be found here http://documents.worldbank.org/curated/en/431111575939381087/

Abstract

The economic census is the first large enterprise survey in Lao PDR. The National Statistics Center (NSC) has conducted some small enterprise survey since 1997, but the findings of those surveys cannot fully fulfill the objectives and they have been mainly used for the calculation of the National Accounts (the Gross Domestic Product). Moreover, those surveys were based on the sample frame of the enterprise registration which is incomplete. The findings therefore could not capture the precise situation of the economic activities of both public and private entities at national as well as provincial level. Finally, the size of the sample for the annual enterprise survey is only 1 500 to 1 800, while the quarterly one is only 280 samples.

This economic census will collect information from all business entities across the country that have permanent location and are located in the village with road access and urban villages. The interview does not take place in the business entities located in the village with no road access and rural villages, and only keep a record of those business entities. The survey is interview-based.

The main objectives of the economic census are: 1. To precisely record all the economic units which are currently operating in Lao PDR so that policy maker and planner could conduct detailed analysis of the economic activities in various sectors. 2. To build the data base of all economic units which will be used as an accurate sampling frame for any related future surveys. 3. To provide supplementary data for the estimation of national income and labor force in every economic activity. 4. To analyze the distribution of the economic units with respect to geographical location such as province and district as well as different size of the industry.

To implement the prime-minister agreement number 58/PMO dated 31st April 2006 on the 1st Economic Census of 2006, the government appoints the supervision committee at central and provincial level to supervise and lead every stage of the survey.

Geographic coverage

National

Analysis unit

Establishment

Universe

The survey covers: - Every business entity either formal or informal including shops that operate any economic activities (based on ISIC system) and non-profit and non-government organizations.

The survey does not cover: o household agriculture productions including raising animals: chicken, pig and fish (animal farms are however included in the survey) o international organizations and representative offices such as embassy or some projects of the foreign embassies) o schools, hospitals and other primary economic units located inside military camps and police departments (for those located outside the military camps and police offices are covered in the survey) o the economic units and shops that are temporary closed down for renovations

The survey (interview) does not cover the business entities that are self-employed business, operate at the owner’s residence or do not have permanent office such as carpenter, taxi driver and mobile sellers and only the statistics on these groups of entities are collected.

Kind of data

Census/enumeration data [cen]

Sampling procedure

No sampling was done as this is a census.

There were a total of 209,484 primary economic units registered during the registration stage in October 2006 including the economic units of various forms and levels. However, the actual field survey only covers 137 357 units excluding the units located in villages with no road access and those with no permanent address (mobile shops, street vendors, lottery sellers, Tuk Tuk driver, taxi driver, mobile fruit carts and other temporary retail shops in the school and the like) and other production unit with only one labor in various sectors such as handicraft, weaving, agriculture, forestry and animal breeding.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire covers the following information: - Enterprise Information - Organization - Employment - Income - Compensation - Expenditure - Asset - Capital - Storage - Balance

Abstract

Statistics Mauritius conducted its sixth Census of Economic Activities (CEA) in Mauritius and Rodrigues, with 2013 as reference year, from January 2013 to April 2015. The main objective of this exercise which is carried out every five years is to collect data on the operating characteristics and structure of all types of economic activities, except agriculture where different measurement techniques are needed for data collection.

The CEA is conducted in two phases - Phase I covering a sample of small production units (i.e those engaging less than ten persons) and Phase II covering all large units, that is those with ten or more persons. Data collection for Phase I was carried out from January 2013 to December 2013 while that for Phase II started in July 2014 and was completed in April 2015.

Objectives: The main objectives of the 2013 Census of Economic Activities were: - To collect up-to-date information on the operating characteristics and structure of all types of economic activities except Agriculture, carried out in the Republic of Mauritius; - To assess the contribution of the various industry groups in the overall economy; - To assess the contribution of various economic sub sectors (small and medium enterprises, informal sector etc.) in the overall economy; - To obtain benchmark data for updating national accounts estimates; - To obtain detailed data for the construction of Input-Output tables and Social Accounting Matrices (SAM) for impact analysis and - To obtain benchmark data and weights for the construction of volume and price indices.

Analysis unit

Small and large non-agricultural establishments

Kind of data

Census/enumeration data [cen]

Sampling procedure

The first phase of the Census of Economic Activities was to cover all small production units (i.e those engaging less than 10 persons) operating in the Republic of Mauritius, except agricultural activities, activities of household employees and illegal activities. A good sampling frame was essential for this purpose. A sampling frame is a comprehensive list of all sampling units from which the sample to be surveyed will be selected. The constructed sampling frame comprised some 112,000 small units as at the August 2012 (around 110,000 for Mauritius and 2000 for Rodrigues). It was decided to survey a sample of around 3,600 units, 3,200 in Mauritius and 400 in Rodrigues.

The sampling frame was constructed from data available in the business register compiled by the Central Business Register unit of Statistics Mauritius, supplemented by information from the 2011 Population Census.

The list of large establishments was constructed from data available in the business register of the SM. The final frame comprised of 2,400 establishments, of which 2,376 were in Mauritius and 24 in Rodrigues.

Mode of data collection

Face-to-face [f2f]

In 2023, there were almost ******* active businesses in Israel. That year, firms involved in professional, scientific and technical activities were the largest industry category, accounting for just over ** percent of all businesses in the country. The second most numerous type of enterprise belonged to the automotive industry, with almost 100,000 businesses. In contrast, businesses involved in public administration, defense and social security, registered the lowest number of active businesses.

Abstract

The AES is conducted annually through mail questionnaires sent to all large scale profit making enterprises. The reference period is twelve months and this is normally the enterprise’s financial year. The survey covers private, statutory bodies and public sector industries engaged in the production and sale of goods and services on the market at prices normally designed to cover the cost of production. Public sector industries include Government Print, Plant and Vehicle Hire Organisation (PVHO), Controller of Stores and Forestry Department.The AES provides information on the economic activity of large-scale enterprises in the Malawian economy with regard to their production and employment characteristics, profitability level, acquisition and issue of both real and financial claims in different sectors of the economy.

Analysis unit

Large Scale Enterprises

Universe

Large Scale Enterprises

Kind of data

Sample survey data [ssd]

Sampling procedure

The enterprises that are selected for the survey are obtained from the Business Information Register (BIR). This is a live database containing information on all enterprises known to exist by the National Statistical Office. The register details names, addresses, type of activity, number of employees and turnover (i.e. Total sales) of every business and is updated on a regular basis. From the list of businesses on the BIR, large scale profit making industries are selected on the basis of critical value of turnover of K1,000,000 or more. Otherwise, if the enterprise has 100 or more employees, it will also be included. Some enterprises which ceased operating or did not qualify have been dropped while others have been maintained and new ones have been included. Using this method, 327 enterprises were selected in 1994 for this survey.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

Due diversity in the nature of businesses in the different sectors, it was felt necessary to develop questionnaires activity related questionnaires. Agricultural and Manufacturing enterprises are sent questionnaires specific to their sector trade, while other enterprises are sent the standard AES questionnaire.

Cleaning operations

On receipt of the questionnaires, they were checked for errors and discrepancies. Where company accounts were available, crosschecks were made with the questionnaires to detect omissions and inconsistencies. Any problems found were corrected after querying the respondent. Where respondents failed to respond but current annual company accounts were available, the questionnaires were completed at the office using these accounts. After editing, the questionnaires were processed on Personal Computer using Microsoft Excel Version 6.0.

Special adjustments were made to tea and sugar growing and manufacturing, banking and finance, and holding companies. In the tea and sugar industries, the same enterprises often carry out both the growing and manufacturing activities and they do not necessarily keep distinct records for these activities. Since the AES has in the final analysis to allocate value added to appropriate sectors some adjustments are done to both the growing and manufacturing sectors. The adjustment is done on the assumption of 15 per cent mark up on costs for the manufacturing sector to be counted as expenditure by the growing sector.

Data for banking and other financial institutions are also adjusted because the bank charges do not cover the cost of financial services. These are paid from commissions on foreign exchange transactions which is reported in the accounts as foreign exchange profit and from the excess of interest received from loans over interest paid on deposits. The foreign exchange profit and the excess of interest are added to reported banking and service charges, which are then recorded as goods and services, sold. In the case of holding companies, it is difficult to distinguish administrative and managerial service receipts from income derived purely from ownership of subsidiaries and therefore, these service receipts were estimated as total expenditure of the holding companies including remuneration and depreciation plus a 15 per cent mark up. Further, missing data were estimated by applying the sectoral rate of change in employment as a proxy for the growth rate of a particular sector.

The trade, hotels, transport, and communication industries had the highest GVA growth rate of ** percent among all other industries in India in the financial year 2022. Overall, the services sector registered the highest growth compared to the agriculture and industry sectors. Public administration, defense and other services industries were expected to have a GVA growth of over **** percent in the financial year 2025.
What is GVA? GVA or gross value added is the value of goods and services produced by an industry, sector, manufacturer, or region in an economy and is used to calculate the GDP of a country. GDP combines all GVA values across industries, levies taxes, and subsidies. While GDP calculates an overall number of goods produced by a nation, GVA measures the value added to the product. It is the difference between gross and net production. The sectoral analysis provided by GVA helps policymakers create sector-specific policies and make decisions regarding incentives. The National Statistical Office (NSO) publishes estimates of GVA in India on a quarterly and annual basis, elaborating on eight main types of commodities. Services sector In India India’s services sector covers a wide range of industries including trade, hotels, restaurants, IT-BPM, storage, communication, financing, insurance, real estate, business services, etc. Numerous government projects like Smart Cities, Clean Cities, and Digital India are strengthening the growth of the services sector. The sector also attracts significant foreign direct investment and contributes massively to exports, although agriculture accounts for the majority of the employed population.

Abstract

The Central Statistics Office (CSO) conducted its fifth Census of Economic Activities (CEA) in Mauritius and Rodrigues from January 2007 to May 2009, with 2007 as reference year. The main objective of this exercise which is carried out every five years is to collect data on the operating characteristics and structure of all types of economic activities, except Agriculture.

The 2007 CEA was conducted in two phases - Phase I covered a sample of small production units that is, those engaging less than ten persons and Phase II covered all large establishments, that is, those engaging at least ten persons. Data collection for Phase I was carried out from January 2007 to December 2007 while that for Phase II started in July 2008 and was completed in May 2009. A comprehensive report for Phase I was published in June 2009.

The main objectives of the 2007 Census of Economic Activities are: (a) To collect up-to-date information on the operating characteristics and structure of all types of economic activities except Agriculture, carried out in the Republic of Mauritius. (b) To assess the contribution of the various industry groups in the overall economy. (c) To obtain benchmark data for computing national accounts estimates. (d) To obtain detailed data for the construction of Input-Output tables and Social Accounting Matrices (SAM) for impact analysis. (e) To obtain benchmark data and weights for the construction of volume and price indices.

Coverage Phase II of the CEA 2007 aimed at covering all large establishments engaging ten or more persons, located in the Republic of Mauritius. However, the following were excluded for reasons stated below: (a) Agricultural activities: These activities have not been covered because of the difference in methodology and measurement techniques used in the collection and compilation of data pertaining to the agricultural sector as compared to other sectors of the economy. (b) Domestic services: These services cannot be appropriately covered by an establishment survey. (c) Concealed and illicit activities: These activities are difficult to measure.

It is to be noted that CEA 2007 did not cover sugar-milling industries and government units as data were readily available from administrative sources. However, “small” establishments operating in the “Export Oriented Enterprises (EOE)”and “Freeport” were covered in Phase II because their production structure are similar to those of “large” establishments and their set of accounts are usually available for a whole year.

Geographic coverage

Phase II of the CEA 2007 aimed at covering all large establishments engaging ten or more persons, located in the Republic of Mauritius at district level.

Analysis unit

Small and large non-agricultural establishments

Universe

All large establishments in the Republic of Mauritius, excluding establishments belonging to the agriculture sector.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The first phase of the Census of Economic Activities was to cover all small production units (i.e those engaging less than 10 persons) operating in the Republic of Mauritius, except agricultural activities, activities of household employees and illegal activities. Out of an estimated total of around 92,000 such units, it was decided to survey a sample of around 3,400 units, 3,100 in Mauritius and 300 in Rodrigues. Hence, a comprehensive list of such units (the sampling frame) was required from which the sample would be drawn.

The sampling frame was constructed from data available in the business register compiled by the Central Business Register unit of the CSO, supplemented by information from some other administrative sources.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The methodology used for compiling economic aggregates, such as output, input, value added, etc., varies from activity to activity. It was therefore not possible to use a unique questionnaire for all sectors. Ultimately seven different questionnaires had to be designed to meet the requirements of the CEA. The activities covered by each questionnaire were as follows:

CEAL 1: Mining and quarrying, and manufacturing CEAL 2: Construction CEAL 3: Wholesale and retail trade CEAL 4: Hotels and restaurants CEAL 5: Insurance CEAL 6: Banking and other financial intermediation CEAL 7: Services (Other)

Cleaning operations

The editing and coding exercise were carried out in the office and also as home assignment. In office, a team of around eight officers (two Clerical Officers and six Statistical Officers) were involved in the exercise under the supervision of two Senior Statistical Officers (one part-time and one full-time). Sample of the coded questionnaires were verified by a Statistician. In addition to an instruction document “Editing and Coding Instructions” provided to the coders, training sessions were carried out by the Statistician together with the Principal Statistician for a clear understanding of the tasks expected from them.

Home Assignment Due to the shortage of human resource in the editing and coding exercise, the office had recourse to home assignment undertaken by the same team of coders in order to complete the work in time. This practice was also adopted for phase I of the census.

Dara Entry Data capture was performed by the Central Information Systems Division (CISD) of the Ministry of Information and Communication Technology using the Integrated Microcomputer Processing System (IMPS) software. Data validation and cleaning were done by the CEA unit using IMPS. The clean data files were then transferred to the STATA software for tabulation. Summary tables and charts were prepared in EXCEL.

Response rate

The overall response rate was around 42% in terms of establishments, 55% in terms of employment and 57% in terms of gross output.