Abstract

This research was carried out in China between December 2011 and February 2013. Data was collected from 2,700 privately-owned and 148 state-owned firms.

The objective of Enterprise Surveys is to obtain feedback from businesses on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

Usually Enterprise Surveys focus only on private companies, but in China, a special sample of fully state-owned establishments was included as this is an important part of the economy. Data on 148 state-owned enterprises is provided separately from the data of 2,700 private sector firms. To maintain comparability of the China Enterprise Surveys to surveys conducted in other countries, only the dataset of privately sector firms should be used.

Geographic coverage

Twenty-five metro areas: Beijing (municipalities), Chengdu City, Dalian City, Dongguan City, Foshan City, Guangzhou City, Hangzhou City, Hefei City, Jinan City, Luoyang City, Nanjing City, Nantong City, Ningbo City, Qingdao City, Shanghai (municipalities), Shenyang City, Shenzhen City, Shijiazhuang City, Suzhou City, Tangshan City, Wenzhou City, Wuhan City, Wuxi City, Yantai City, Zhengzhou City.

Analysis unit

The primary sampling unit of the study is an establishment.The establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or universe of the study, is the non-agricultural economy of firms with at least 5 employees and positive amounts of private ownership. The non-agricultural economy comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for China ES was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the following way: the universe was stratified into 11 manufacturing industries and 7 services industries as defined in the sampling manual. Each manufacturing industry had a target of 150 interviews. Sample sizes were inflated by about 20% to account for potential non-response cases when requesting sensitive financial data and also because of likely attrition in future surveys that would affect the construction of a panel. Note that 100% government owned firms are categorized independently of their industrial classification. The 148 surveyed state-owned enterprises were categorized as a separate sector group to preserve the representativeness of other sector groupings for the private economy.

Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

Regional stratification was defined in twenty-five metro areas: Beijing (municipalities), Chengdu City, Dalian City, Dongguan City, Foshan City, Guangzhou City, Hangzhou City, Hefei City, Jinan City, Luoyang City, Nanjing City, Nantong City, Ningbo City, Qingdao City, Shanghai (municipalities), Shenyang City, Shenzhen City, Shijiazhuang City, Suzhou City, Tangshan City, Wenzhou City, Wuhan City, Wuxi City, Yantai City, Zhengzhou City.

The sample frame was obtained by SunFaith from SinoTrust.

The enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 3,000 establishments with five or more employees. The quality of the frame was assessed at the onset of the project through calls to a random subset of firms and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments are needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 31% (6,485 out of 20,616 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - Services Questionnaire, - Manufacturing Questionnaire, - Screener Questionnaire.

The Services Questionnaire is administered to the establishments in the services sector. The Manufacturing Questionnaire is built upon the Services Questionnaire and adds specific questions relevant to manufacturing.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

The number of contacted establishments per realized interview was 7.24. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.55.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don’t know. b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

Abstract

This research was conducted in Bosnia and Herzegovina between January and September 2019, as part of the of the Business Environment and Enterprise Performance Survey. The objective of the study is to obtain feedback from enterprises in client countries on the state of the private sector. The research is also used to build a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

In Bosnia and Herzegovina, data from 360 establishments (the same list of establishments included in the 2013 Bosnia and Herzegovina Enterprise Survey as well as additional establsihments) were included. Firms not taken from the 2013 list were provided by the LRC Business Intelligence System. The establishments in the listings are all registered through court registrations with the Municipal Court.

The survey topics include firm characteristics, infrastructure and services, sales and supplies, management practices, degree of competition, capacity, time use of top manager, land and permits, crime, finance, business-government relations, labor, business environment, performance, environment-related aspects, exposure to environmental impacts, management and the environment, environmental policy and regulation, and environmental impact of the establishment.

Geographic coverage

National coverage

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The manufacturing and services sectors are the primary business sectors of interest. This corresponds to firms classified with International Standard Industrial Classification of All Economic Activities (ISIC) codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies with five or more employees are targeted for interview. Services firms include construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government/state ownership are not eligible to participate in Enterprise Surveys.

Kind of data

Sample survey data[ssd]

Sampling procedure

The sample for 2019 Bosnia and Herzegovina ES was selected using stratified random sampling, following the methodology explained in the Sampling Note. Stratified random sampling was preferred over simple random sampling for several reasons: a. To obtain unbiased estimates for different subdivisions of the population with some known level of precision. b. To obtain unbiased estimates for the whole population. The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub- sector 72, IT, which was added to the population under study), and all public or utilities-sectors. c. To make sure that the final total sample includes establishments from all different sectors and that it is not concentrated in one or two of industries/sizes/regions. d. To exploit the benefits of stratified sampling where population estimates, in most cases, will be more precise than using a simple random sampling method (i.e., lower standard errors, other things being equal.) e. Stratification may produce a smaller bound on the error of estimation than would be produced by a simple random sample of the same size. This result is particularly true if measurements within strata are homogeneous. f. The cost per observation in the survey may be reduced by stratification of the population elements into convenient groupings.

Three levels of stratification were used in this country: industry, establishment size, and region. The original sample design with specific information of the industries and regions chosen is described in Appendix C in the Implementation Report found under the 'Documentation' tab.

Industry stratification was done as follows: Manufacturing - combining all the relevant activities (ISIC Rev. 4.0 codes 10-33), Retail (ISIC 47), and Other Services (ISIC 41-43, 45, 46, 49-53, 55, 56, 58, 61, 62, 79, 95).

As it is standard for the ES, the Bosnia and Herzegovina ES was based on the following size stratification: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

Regional stratification was done across five regions: Bosna Region; Hercegovina Region; Sarajevo Region; Republika Srpska; Distrikt Brcko. For the purposes of achieving the thresholds for representativeness, the ES indicators are calculated with some regions combined. In particular, Bosna and Hercegovina regions are combined, as well as Republika Srpska and Distrikt Brcko.

Mode of data collection

Face-to-Face[f2f]

Research instrument

Two questionnaires - Manufacturing amd Services were used to collect the survey data.

The Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module).

Abstract

The Enterprise Survey 2008 was conducted by GSO and its sub-institutions to collect information on enterprises operating in Viet Nam at the end of the year 2007. It is the eighth year of the annual enterprise surveys. All business entities existing at the end of the year were surveyed. Objectives of the survey: - To collect information of enterprises' productive factors (labor, capital, assets,…) and business results in 2007, to assess the situation and capacity of enterprises in different industries and economic sectors. - To collect necessary information for aggregating officially reported indicators in the year 2007 for specialities (number of enterprises, numbers of employees, capital, assets, business result indicators, indicators of the national account such as production value, intermediate cost, value added...) and calculating statistical weights for 2007 as the based year. - To update the enterprise database to meet requirements of statistics of enterprises and other statistics.

Survey Implementation The survey were organized and steered by GSO and principally conducted by Provincial Statistical Offices. Data were gathered by two methods, direct and indirect ones. Details of the two methods and their applicable objects are:

Direct data gathering: enumerators interview respondents directly, ask for data, explanations of circumstance. Based on that, the enumerators fill out the questionnaire. This method is applied for the business environment questionnaire and survey units which have not fully followed accounting standards, unable to self-fill out the questionnaire (small-size enterprises, enterprises under preparation for dissolving, enterprises under investigation,…)

Indirect data gathering: Organization of meeting of chief accountants, accountants or statistical staffs of survey units, or enumerators instruct directly how to fill out the questionnaires as well as information of where to send, how to send, time for sending, so that the survey units fill out the questionnaire on their own and send filled questionnaires to the survey organizer.

Geographic coverage

National

Analysis unit

Enterprise

Universe

They are enterprises independently keeping business account, they were established and under regulations of the State Enterprise Law, Cooperative Law, Enterprise Law, Foreign Investment Law, began business operation before 1st January 2008 and currently exist. They may include seasonal operation enterprises which did not operate on all 12 months of year 2006, enterprises which suspend operation for renovation investment, repairing, construction, production extension, enterprises which stop operation for merging or dissolving but still have the managerial system for answering questions in the questionnaire (exclude enterprises that do not have the managerial system for answering the questions in the questionnaire).

Kind of data

Sample survey data [ssd]

Sampling procedure

The Enterprise Survey 2008 is conducted according to census and sample survey methods. There are three cases that the sample survey are applied. The first case is for surveying non-state enterprises having less than 10 labors, the second case is for surveying of production and business cost, the third case is for business environment survey. Sample selection of these cases are described as follows:

Sample Selection of non-state enterprises having less than 10 employees for application of the Questionnaire No. 1A-DTDN (general questionnaire) (1) The Sampling Frame: The sampling frame is established based on the list of non-state enterprises having less than 10 employees from the Enterprise Survey in the year 2005 (except the enterprises in hotel industry which are all selected). The sampling frame is stratified according to the 2-digit-level industrial classification; in each 2-digit-level industry, enterprises are listed with descending order based on net revenues of production and business in the year 2007. Commercial industry or service industries are stratified into 4-digit-level industries or groups of 4-digit-level industries. (2) Sample selection: The number of non-state enterprises selected for applying the Questionnaire No 1A-DTDN is 15% of enterprises which have less than 10 employees in the list of enterprises from which were collected filled questionnaires in the year 2007. The principle for sample selection is to have reprentativeness of each 2-digit-level industry (for commercial or service industries), representativeness is at 4-digit-level industries or groups of industries in provincies. The selection method is systematic sampling with fixed intervals after a ramdom start. Because the numbers of enterprises having less than 10 employees in provinces, cities are significantly differential, a number of provinces do not have numerous enterprises, no choice of enterprises having less than 10 employees for applying Questionnaire No. 1A-DTDN is only done in 15 provinces/cities: they are Lai Chau, Ha Giang, Dien Bien, Bac Kan, Son La, Cao Bang, Tuyen Quang, Lao Cai, Yen Bai, Ha Nam, Hoa Binh, Ninh Thuan, Kon Tum, Dak Nong, Hau Giang.

Sample selection of enterprises which are surveyed for production, business cost (Questionnaire No. 2A-DTDN) (1) Establishing the Sampling Frame The sampling frame is established based on the list of enterprises from which were collected filled questionnaires in the 2007 Enterprise Survey. (2) Sample Selection The sample is representative for 8 regions and 2-digit level economic industries in each region with sample size of about 10000 enterprises (the sample ratio is approximately 10%). Sample allocation to each region or each 2-digit-level economic industry is based on share of production value of each region to that of the whole country and share of each 2-digit-level economic industry in production value of the region. In each 2-digit-level economic industry, enterprises are listed with descending order based on net revenues of production and business in the year 2004. After having number of sample in each region and each 2-digit-level economic industry in the region, sample selection is done for each 2-digit- level industry in regions by systematic sample with fixed interval of K (K= total number of the 2-digit-level industry divided by the allocated sample to the industry) after a random start.

Sample selection of enterprises conducted business environment survey (Questionnaire No. 4- DTDN) The sample for business environment survey is selected to be respresentative for 1-digit-level industries in each province/city with the sample about 10000 enterprises (Approximate 10%).

Sampling deviation

Procedure for selecting enterprises when sampled enterprises When sample enterprises are missing, Statistical Office of Provinces/ Cities have rights to complete the sample with following priority order: - Enterprises in the province/city and the same 4-digit-level industry having the closest net revenue to the missing enterprises in the sample. - Enterprises in the province/city and the same 2-digit-level industry having the closest net revenue to the missing enterprises in the sample. There was no reports of missing cases, however, with the above procedure, it is expected that there is no major deviations from sample design

Mode of data collection

Face-to-face [f2f]

Research instrument

There were three general types of questionnaires: 1) Questionnaires for basic indicators about production, business of enterprises; 2) Questionnaire about energy; 3) Questionnaire on business environment. In the first and the second general types of questionnaire, there were several specific questionnnaires for specific enterprises. In the current database, only data collected from the first general type of questionnaire is available.

(1) Questionnaires for basic indicators about production, business of enterprises a. Questionnaire No. 1A-DTDN: this questionnaire is to collect information of enterprises in the year 2007 (Applicable to all state enterprises, non-state enterprises having more than 10 employees, 15% of non-state enterprises having less than 10 employees which are selected to be surveyed, all foregin invested enterprises of all industries in the national economy). This questionnaire was filled in for each enterprise as survey object to collect information on screening, labor including labor compensation, activities, production... b. Questionnaire No. 1B-DTDN: this questionnaire is to collect information of enterprises in the year 2007. (Applicable to non-state enteprises having less than 10 employees of all industries in the national economy, but not being selected to be surveyed with Questionnaire No. 1A-DTDN). This is short version of question No.1A-DTDN.
c. Questionnaire No. 1C-DTDN: Production, Selling and Inventory of some industrial products in year 2007. (Applicable to all enterprises having industrial activity as the main activity). This questionnaire is to gather information on production, selling and inventory if industrial products.
d. Questionnaire No. 2B-DTDN: Results of financial intermediate and financial assistance activities in year 2007. (Applicable to all enterprises which are credit institution: Banks, financial comparies, people's credit funds... ). Information on detail revenue and cost items and business result of financial intermediate and financial assistance activities were collected with this questionnaire.
e. Questionnaire No 2C- DTDN: Results of insurance activity and insurance brokerage in year 2007. Information on detail revenue and cost items and business result of insurance activity and insurance brokerage

The 2011 MCA-Lesotho baseline enterprise survey is a national survey of enterprises. The main objective of the survey was to assess the current status of businesses in Lesotho, in relation to four principal factors, namely, water supply and sanitation, essential health services, investment climate in the country, land administration and modernization of the commercial legal system. The survey used a single-stage stratified sampling design in which stratification was done by rural/urban, industrial classification and size of enterprise.

Most enterprises had been in business for slightly less than 10 years and reported that the registration process was lengthy, costly and difficult. The enterprises had more male workers than female workers and had more males as top managers. Most enterprises reported own savings as their first most important source of start- up capital. Majority of enterprises did not know about the credit bureau and did not use financial institutions to secure loans. Generally, enterprises procured their products from local wholesalers and retailers and conducted transactions using cash over the counter as the most common mode of payment to suppliers.With respect to type of land ownership, the largest proportion (37.5%) of individually-owned enterprises was Form C holders, followed by tenant enterprises or those that rented business premises (31.3%). In terms of the acquisition of land/business plots, 43.5% of the enterprises had acquired land/plots through customary allocation by customary chiefs, followed by those that had purchased plots through transfer from someone (22.3%). Most individually-owned enterprises (48.4%) had also acquired plots from customary chiefs, followed by plots that were purchased from someone else (21.3%). In contrast, most jointly-owned enterprises had acquired plots through transfer from someone for cash (32.6%), followed by public sector agency grants (26.3%).

A significant proportion (69.8%) of enterprises did not have formally registered titles/documents to the premises that they used; The top reason for opting to rent/sublease business premises was not intending to acquire land, which was mentioned by 35.1 percent of enterprises. The second reason was of enterprises that did not qualify to hold land in Lesotho, which was mentioned by 23.2 percent of enterprises
Majority (67.2 percent) of enterprises did not have occupational insurance. Over 50 percent of the enterprises did not have all the policies. Workers in 83.5 percent of all enterprises did not have access to a health and safety officer. In 88.3 and 91.7 percent of all enterprises, workers did not have access to a counselor and services of a Social Worker, respectively. Workers in 32.6 percent of all enterprises did not have break hours. As high as 86.4 percent of the enterprises lost between one (1) and 30 days to sick leave in the last twelve months. Majority of enterprises (84.5%) provided neither educational programmes/activities nor ARVs to their workforce.

Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Sex for the U.S.: 2019.Table ID.ABSCS2019.AB00MYCSA01A.Survey/Program.Economic Surveys.Year.2019.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2021-10-28.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Sex Female Male Equally male/female Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2019 BERD sample, or have high receipts, payroll, or employment. Total sample size is 300,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2017 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY21-289).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2019/.API Information.Annual Business Survey (ABS) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsS - Estimate does not meet publication standards because of high sampling variability,...

Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Sex for the U.S.: 2018.Table ID.ABSCS2018.AB00MYCSA01A.Survey/Program.Economic Surveys.Year.2018.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2021-01-28.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Sex Female Male Equally male/female Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2018 BERD sample, or have high receipts, payroll, or employment. Total sample size is 300,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2017 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY20-424).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2018/.API Information.Annual Business Survey (ABS) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsS - Estimate does not meet publication standards because of high sampling variability,...

Abstract

The re-listing and follow-up phases of the Micro and Small Enterprises survey in Egypt (MSEs) 2004

One year after the first wide-scale data collection of the 5000 enterprises (phase 1) , a re-listing of all the enterprises in the selected Shiakhas was conducted. Subsequent to the re-listing, a follow-up survey was conducted.The main objective of these two phases was to study the dynamics of MSEs.

Are the MSEs sustainable in their operations, or do they grow or shrink and disappear with time? Do they remain functioning in the same economic activity or is there a movement and change in economic activities and/or scope of operations? If there is change, what are the features of change? If there is growth, which factors of production are the most likely to expand?

The primary objective of the follow up study was to update the information of the initial sample survey. A modified smaller version of the MSE questionnaire was developed to be used in the follow up. The modified version collected information on:

1) Main activity of the MSE, main products, and secondary activities. 2) Other locations of the MSE. 3) Working system including number of working hours per day, number of working days per week, number of working weeks per month, and number of working months per year. 4) The gender of owner (manager). 5) The performance level (in the current and previous years) measured by: 6) Number of workers. 7) Area (space) of the project. 8) Value of assets. 9) Value of final production (average per month). 10) Wages (average per month). 11) Raw materials and intermediate products (average per month). 12) Cost of consumed energy (average per month). 13) Other expenses such as rent, taxes, etc. (average per month). 14) Revenue (average per month). 15) Exports (average per month).

Future expectations in the next year for:

1) Number of workers. 2) Area (space) of the unit. 3) Products. 4) Assets. 5) Technology. 6) Revenue. 7) Sales. 8) Exports.

Geographic coverage

Covering a sample of 3 major administrative regions (Metropolitan areas, Lower Egypt and Upper Egypt).

Analysis unit

Enterprises.

Universe

The survey covered a national sample of Micro and Small Enterprises.

Kind of data

Sample survey data [ssd]

Sampling procedure

The re-listing phase

All the enterprises in the 120 Shiakhas and villages, which were listed during the listing phase (2003), were re-listed (2004). The interviewers in the re-listing phase were given some information (name of the enterprise, address, name of owner) on the listed MSEs in the first phase. They were instructed to pass by each listed MSE and record in a sheet the following characteristics: 1) Name of the enterprise (if changed to record the new name). 2) Name and gender of the owner of the enterprise (if changed to record the new name and gender). 3) Activity of the enterprise (if changed to record the new activity). 4) Number of workers. 5) Year of establishment.

The Follow-up phase

The selected MSEs in the baseline survey.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

The re-listing phase

Fieldwork and data processing activities overlapped. After a week of re-listing, and after field editing of re-listing sheets for completeness and consistency, the re-listing sheets for each PSU (Shiakha or village) were packaged together. Special editors were recruited to carry out office editing and coding. Data entry and verification started after one week of office data processing. The process of data entry, including one hundred percent re-entry, editing and cleaning, was done using PCs and a computer database program developed specially for thess surveys. Data processing operations for the re-listing phase were completed by the mid April, 2004.

The Follow-up phase

Office editors reviewed questionnaires for consistency and completeness. Coding was conducted at the office prior to data entry. Office editors were instructed to report any problems detected while editing the questionnaires, which were reviewed by a senior staff, an assistant and 5 office editors recruited for these purposes. Computer entry and editing began while interviewing teams were still in the field. Data were entered on PCs using a software program developed for the survey. Around 4 data entry personnel were recruited and trained to process the follow-up data. During data entry, 100 percent of the questionnaires were re-entered for verification. Data processing was completed by the last week of May 2004.

Response rate

The Follow-up phase

The number of completed interviews reached 4590 out of 4958 units in the base survey (with 93 percent response rate).

Data appraisal

Quality Control Measures

Quality of data was assured using several measures such as:

1) Selecting and training qualified field staff, 2) Field editing (by supervisors), 3) Field checking (by general supervisors), 4) Office editing, and 5) Re-entry of 100 percent of questionnaires.

The company situation as well as the location and investment policies of companies under the aspect of availability of foreign workers. The conduct of foreigners from the perspective of the companies and activities to integrate guest workers.

Topics: Business figures such as production capacity, proportion of export and turnover for the years 1970 to 1975; assessment of the advantages of the location of the company in 1960 and today; interest in moving the company; reasons for conducting substitute investments; production procedure used; shift work; further figures of the company; proportion of foreigners; proportion of commercial or business employees as well as trainees and women; pay system; classification of the employees in the company according to wage groups and nationality; personnel fluctuation and personnel needs; number and nationality of foreign employees; foreign employees as foremen; absences due to illness altogether and especially with foreigners; measures to train foreign employees; composition of teams according to nationality; foreign employees in the works council and as trade union union representatives; measures to integrate guest workers through language courses; information in the national language; company housing and someone looking after foreigners.

Abstract copyright UK Data Service and data collection copyright owner.

The Business Structure Database (BSD) contains a small number of variables for almost all business organisations in the UK. The BSD is derived primarily from the Inter-Departmental Business Register (IDBR), which is a live register of data collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. The IDBR data are complimented with data from ONS business surveys. If a business is liable for VAT (turnover exceeds the VAT threshold) and/or has at least one member of staff registered for the PAYE tax collection system, then the business will appear on the IDBR (and hence in the BSD). In 2004 it was estimated that the businesses listed on the IDBR accounted for almost 99 per cent of economic activity in the UK. Only very small businesses, such as the self-employed were not found on the IDBR.

The IDBR is frequently updated, and contains confidential information that cannot be accessed by non-civil servants without special permission. However, the ONS Virtual Micro-data Laboratory (VML) created and developed the BSD, which is a 'snapshot' in time of the IDBR, in order to provide a version of the IDBR for research use, taking full account of changes in ownership and restructuring of businesses. The 'snapshot' is taken around April, and the captured point-in-time data are supplied to the VML by the following September. The reporting period is generally the financial year. For example, the 2000 BSD file is produced in September 2000, using data captured from the IDBR in April 2000. The data will reflect the financial year of April 1999 to March 2000. However, the ONS may, during this time, update the IDBR with data on companies from its own business surveys, such as the Annual Business Survey (SN 7451).

The data are divided into 'enterprises' and 'local units'. An enterprise is the overall business organisation. A local unit is a 'plant', such as a factory, shop, branch, etc. In some cases, an enterprise will only have one local unit, and in other cases (such as a bank or supermarket), an enterprise will own many local units.

For each company, data are available on employment, turnover, foreign ownership, and industrial activity based on Standard Industrial Classification (SIC)92, SIC 2003 or SIC 2007. Year of 'birth' (company start-up date) and 'death' (termination date) are also included, as well as postcodes for both enterprises and their local units. Previously only pseudo-anonymised postcodes were available but now all postcodes are real.

The ONS is continually developing the BSD, and so researchers are strongly recommended to read all documentation pertaining to this dataset before using the data.

Linking to Other Business Studies
These data contain IDBR 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.

Latest Edition Information
For the sixteenth edition (March 2024), data files and a variable catalogue document for 2023 have been added.

Main Topics:

The following variables are available for enterprises and local units:

• employment (and employees)
• turnover
• Standard Industrial Classification (1992, 2003 and 2007 classifications are available)
• legal status (e.g. sole proprietor, partnership, public corporation, non-profit organisation etc)
• foreign ownership
• birth (company start date)
• death (termination date of trading)
• various geographical variables
  

'Employment' includes business owners, whereas 'employees' measures the number of staff, excluding owners.

Observations for enterprises also include a variable for ownership if the enterprise is part of a large group of companies.

Local units have an additional ‘death code’ variable, which serves as an indicator as to why the plant closed (e.g. as a result of a merger). It should also be noted that there is no turnover information for individual plants. This is because the ONS does not collect financial information at the plant level, which is notoriously difficult, especially for manufacturing plants where often no financial transactions are processed.

The birth and death variables are particularly useful for research, although it should be noted that for businesses that began trading before 1973, their birth date will be set to 1973. This is the year that VAT was introduced in the UK, and hence the first point in time for VAT registration for these companies. Companies that began trading since 1973 have their ‘real’ date of birth listed.

Abstract

The central statistical offices in most countries place heavy emphasis on constructing sound databases for all activities within the services sector. PCBS’ Services Statistics Program is part of the Economic Statistics Program, which is part of the larger program for establishing the System of Official Statistics for Palestine. PCBS initiated, in the reference year 1994, the economic surveys series. The series includes, in addition to the services survey, surveys on industry, internal trade construction-contractors, and transport and storage sectors for the purpose of establishing a time series data base of economic activities in line with international recommendations specified in System of National Account (SNA) 93 and in the UN manual for Services Statistics.

1. Objectives: The objective of the survey was to obtain data on:

2.1 Number of enterprises and persons engaged in services by activity and location. 2.2 Value of output, intermediate consumption and stocks. 2.3 Value added components. 2.4 Payments and transfers. 2.5 Capital formation. 2.6 Contribution of the surveyed activities to the GDP and other National Accounts variables.

Target Population

PCBS depends on the International and Industrial Classification of all economic activities, version 3, (ISIC - 3) by the United Nation to classify the economic activities. All enterprises and establishments are classified according to the Establishments Census 2004, which works in agreement with (ISIC - 3).
The services survey covers the following activities: 1. Hotels and Restaurants 2. Real Estate, Renting and Business Activities 3. Education 4. Health and Social Work 5. Other Community, Social and Personal Service Activities

Geographic coverage

West Bank and Gaza Strip

Analysis unit

Enterprise constitutes the primary sampling unit (PSU)

Universe

Enterprise:It is an economic entity that is capable, in its own right, of owning assets, incurring liabilities and engaging in economic activities and in transactions with other entities.include Enterprise of related to household and branches, and Enterprise of related to non-financial companies sector.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of the Services Survey is a single-stage stratified random - systematic sample in which the enterprise constitutes the primary sampling unit (PSU). Three levels of strata were used to arrive at an efficient representative sample (i.e. economic activity, size of employment and geographical levels). The sample size amounted to (1622) enterprises out of the (12520) enterprises that comprise the survey frame.

Mode of data collection

Face-to-face [f2f]

Research instrument

Survey Questionnaire

They are one form of the services survey questionnaire 2003, related to household and branches, and the non-finance companies sector. The questionnaire contains of the following main variables: 1. Number of employees in a company and their compensations. 2. The output of the main and second activities. 3. Goods production inputs. 4. Various payments and transfers. 5. Indirect taxes. 6. Enterprises assets.

Cleaning operations

Data processing: For insuring quality and consistency of data a set of measures were taken in to account for strengthening accuracy of data as follows: · Preparing data entry program before data collection for checking readiness of the program for data entry. · A set of validation rules were applied on the program for checking consistency of data. · Efficiency of the program was checked through pre-testing in entering few questionnaires, including incorrect information for checking its efficiency, in capturing these information. · Well trained data keyers were selected and trained for the main data entry. · Weekly or by weekly data files were received by project management for checking accuracy and consistency, notes of correction are provided for data entry management for correction.

Response rate

82%

Sampling error estimates

Statistical Errors: The findings of the survey are affected by statistical errors due to using sampling in conducting the survey for the units of the target population, which increases the chances of having variances from the actual values we expect to obtain from the data had we conducted the survey using comprehensive enumeration.. The variance of the key goods in the survey was computed and dissemination was carried out on the level of the Palestinian Territory for reasons related to sample design and computation of the variance of the different indicators.

Non-Statistical Errors These types of errors could appear on one or all the survey stages that include data collection and data entry: Response errors: these types of errors are related to, responders, fieldworkers, and data entry personnel's. And to avoid mistakes and reduce the impact has been a series of actions that would enhance the accuracy of the data through a process of data collection from the field and the data processing. ·

Data appraisal

-

Survey of innovation and business strategy, location of enterprises' head office, by North American Industry Classification System (NAICS) and enterprise size, all surveyed industries

Survey of innovation and business strategy, average number of process innovations introduced, by North American Industry Classification System (NAICS) and enterprise size, all surveyed industries

Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Ethnicity for the U.S.: 2017.Table ID.ABSCS2017.AB00MYCSA01B.Survey/Program.Economic Surveys.Year.2017.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2020-05-19.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Ethnicity Hispanic Mexican, Mexican American, Chicano Puerto Rican Cuban Other Hispanic, Latino, or Spanish Equally Hispanic/non-Hispanic Non-Hispanic Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2017 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2017 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY20-008).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2017/.API Information.Annual Business Survey (ABS) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data ...

Companies worldwide have increasingly been recognizing the need for an enterprise HR systems strategy, with 70 percent of respondents in a 2019 survey reporting that they have implemented such a strategy. This is an increase from only 30 percent of respondents in 2014.

Abstract

The project on “Promoting Competitiveness in Micro and Small Enterprises” (MSE) was initiated in 2000 by the Economic Research Forum, with the main objective has been to expand the knowledge on this sector in the Middle East and North Africa region, with the ultimate aim of designing relevant policies and specific programs to help this sector fulfill its enormous growth potentials. Constituting an average of 95% of the number of enterprises in the region, it is presumed that promoting this sector will have a positive spill-over effect on the economies of the region.

Discussions on the results of the project have pointed to an emerging consensus that it will be filling a knowledge gap related to the micro and small enterprises sector in the MENA region. Policies and strategies designed to promote this sector have not been adequately targeting their needs, and thus this project is considered to be of great relevance to the policy making process. Specifically, the main contributions may be summarized as follows:

1) The database gathered through the project based on field surveys is considered unique, as to the number of enterprises covered (18,000), and the information produced, including information on the enterprise, the entrepreneur and the household. A special focus on women entrepreneurs have been made throughout the survey. This mine of data will undoubtedly provide background information that enables policy makers to design relevant policies.

2) The “Policy Briefs” gives a concise summary of the outcome of each country study and highlights the recommendations reached based on the analysis.

3) The current Country reports series is prepared based on the findings of the surveys, detailed information about the performance of the enterprises, determinants of success and prospects for the future are given. Special focus on the status of women entrepreneurs is also made.

4) The Synthesis report will have a comparative analytical approach of the case studies of the four countries. This report will asses the MSE sector in the four countries and will draw relevant policy recommendations for the region.

It has been evidently shown that promoting this sector could contribute to the solution of the increasing unemployment problem in the region, and a means to alleviate poverty through income generation. The spillover effects that this sector if properly developed will positively affect the development of the countries concerned. However, the real level of knowledge about the MSEs is surprisingly low.

The Small and Micro Enterprises Survey (MSEs) - Egypt 2003 is a sample survey designed to provide estimates for key indicators related to the activities, manpower structure and financial characteristics of MSEs.

Geographic coverage

Covering a sample of 3 major administrative regions (Metropolitan areas, Lower Egypt and Upper Egypt).

Analysis unit

1- Enterprises. 2- Households. 3- Individuals.

Universe

The survey covered a national sample of Micro and Small Enterprises.

Kind of data

Sample survey data [ssd]

Sampling procedure

1. Sample Design

The primary objective of the sample design of MSES was to provide estimates on the national level and for 3 major administrative regions (Metropolitan areas, Lower Egypt and Upper Egypt). Eight governorates were selected from the 3 regions. The selection was based on an attempt to represent governorates with different economic characteristics.

The sample for the MSES is a multi-stage probability sample. In the first stage, primary sampling units (PSU) were randomly selected from each governorate. The PSU's are shiakha/towns in urban areas and villages in rural areas. Information from the 1996 census was used in constructing the frame from which the primary sampling units (PSUs) were selected. A total of 120 PSUs were randomly selected from the chosen governorates; 84 in urban areas and 36 in rural areas.

The second stage was based on the results of the listing of enterprises within PSU's. Enterprises were classified into 3 categories in terms of MSEs density. Density was designated according to the mean number of MSEs per building and PSUs were divided into 3 equal groups; the lowest third (Low), the medium third (Medium) and the highest third (High). A stratified random sample of enterprises was selected from the list of enterprises within each PSU.

In the third stage, a stratified random sample was selected from each density category within the PSU. The two strata include male and female owner/manager. with female owners / managers were over sampled (double-weighted) in order to maintain a sufficient number of female respondents.

2. Listing

To implement the third stage, a listing of all MSEs in the chosen PSUs were compiled.

Fifteen listers were chosen and trained. The listing operation consisted of the following activities: 1- Listing all the MSEs in each PSU block by block. 2- Recording (on a form prepared for this purpose) for each SME, name of SME, name of owner or manager, sex of owner or manager, number of workers, activity, sector, address and telephone #. 3- Drawing a rough map for the PSU and record some important information and/or landmarks to help reaching the PSU in the Data Collection Stage. Around 26,000 MSEs were Listed in the 120 PSUs. Nearly 3000 were excluded of not being a private enterprise (not eligible for data collection). The Listing Phase took 3 weeks (during March 2003). An ACCESS data base was developed and all the information of the listing was entered in this data base using 10 data entry clerks.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Office Editing

Office editors reviewed questionnaires for internal consistency and completeness. Coding was conducted in the office prior to data entry. Office editors were instructed to report any problems detected while editing the questionnaires, which were reviewed by one senior staff. One senior staff, one assistant and 10 office editors were recruited for these purposes.

Data Processing Activities

Data were entered on PCs using the Integrated System for Survey Analysis (ISSA), a software package developed for large scale multi-level surveys. Around 10 data entry personnel were recruited and trained to process the MSES data. During data entry, 50 percent of the questionnaires were re-entered for verification. Data processing was completed by the last week of May 2003.

Response rate

The sample size was predetermined by 5000 private MSEs to provide statistical reliable estimates for the indicators at the region level. The sample size was inflated to 5400 to compensate for a possible 8% of non-response.

The number of completed interviews reached 4962 with 92 percent response rate.

Data appraisal

Quality Control Measures

Quality of data was assured using several measures such as:

1.Selecting and training qualified field staff, 2.field editing (by supervisors), 3.field checking (by general supervisors), 4.office editing, and . 5.re-entry of 50 percent of questionnaires.

Abstract

The central statistical offices in most countries place heavy emphasis on constructing sound databases for all activities within the transport and communication sector. PCBS’ transport and communication Statistics Program is part of the Economic Statistics Program, which is part of the larger program for establishing the System of Official Statistics for Palestine. PCBS initiated, in the reference year 1994, the economic surveys series. The series includes, in addition to the transport and communication survey, surveys on industry, internal trade construction-contractors, and services sectors for the purpose of establishing a time series data base of economic activities in line with international recommendations specified in System of National Account (SNA) 93 and in the UN manual for Services Statistics. The sampling frame for the different economic surveys was based on the findings of the 2004 Establishment Census conducted by PCBS.

Objectives: The objective of the survey was to obtain data on: 1. Number of transport enterprises and persons engaged by activity and locality. 2. Value of output, intermediate consumption and stock. 3. Value added components. 4. Payments and transfers. 5. Assets and capital formation. 6. Contribution of the surveyed activities to the GDP and other National Accounts variables.

Target population Palestinian Central Bureau of Statistics (PCBS) depend on Industrial Standard International Classification for all economic activities, revision 3, (ISIC-3) which published by United Nations, in the basis of this establishments classified in general record which used in PCBS and depend on the 2004 establishments, properly its main economic activities, Transport and Communication survey covers all establishments of the following main activities: .Other scheduled passenger land transport (6021). .Other non-scheduled passenger (6022). .Freight transport by road (6023). .Cargo handling (6301). .Storage & warehousing (6302). .Other supporting transport activities (6303). .Activities of travel agencies (6304). .Activities of other transport agencies (6309). .Courier activities (6412). Telecommunications (6420).

Geographic coverage

West Bank and Gaza Strip

Analysis unit

Enterprise

Universe

Enterprise:It is an economic entity that is capable, in its own right, of owning assets, incurring liabilities and engaging in economic activities and in transactions with other entities.include Enterprise of related to household and branches, and Enterprise of related to non-financial companies sector.

Transport and Communication survey covers all establishments of the following main activities: 1. Other scheduled passenger land transport (6021). 2. Other non-scheduled passenger (6022). 3. Freight transport by road (6023). 4. Cargo handling (6301). 5. Storage & warehousing (6302). 6. Other supporting transport activities (6303). 7. Activities of travel agencies (6304). 8. Activities of other transport agencies (6309). 9. Courier activities (6412). 10. Telecommunications (6420

Kind of data

Complete enumeration [enu]

Sampling procedure

The number of establishments in Transport and Communication survey for the base year 2007, frame - (1,108), which form the whole frame distributed in remaining West bank and Gaza Strip governorates depending on the 2007 establishments census in determining of the frame of transport establishments where comprehensive counting for all construction activities was adopted.

Sample design: for all enterprises engaged in economic activities has been done, without sampling techniques.

Mode of data collection

Face-to-face [f2f]

Research instrument

Survey Questionnaire

The questionnaire used for this survey has much in common with other questionnaires in the economic survey series. The design of the questionnaire takes into account major economic variables pertaining to the examined phenomenon and meets the needs of the Palestinian National Accounts. Two forms of questionnaires are used a shorter version of the questionnaire used for the enterprises belonging to the household sector and branches, the detailed form used for other sectors. The questionnaire contains of the following main variables: 1. Number of employees in a company and their compensations. 2. The output of the main and second activities. 3. Goods production inputs. 4. Various payments and transfers. 5. Indirect taxes. 6. Enterprises assets. household and branches questionnaire not include Various payments and transfers.

Cleaning operations

Data processing: For insuring quality and consistency of data a set of measures were taken in to account for strengthening accuracy of data as follows: · Preparing data entry program before data collection for checking readiness of the program for data entry. · A set of validation rules were applied on the program for checking consistency of data. · Efficiency of the program was checked through pre-testing in entering few questionnaires, including incorrect information for checking its efficiency, in capturing these information. · Well trained data keyers were selected and trained for the main data entry. · Weekly or by weekly data files were received by project management for checking accuracy and consistency, notes of correction are provided for data entry management for correction.

Response rate

Response rates: The original sample of Remaining West Bank and Gaza Strip is (859) establishment. The over coverage ratio is (8.33 %) distributed as: Completely closed. (3.13 %). Repeated. (0.65 %). Branch Keep No Records. (2.38%). Isn't establishment as recognized (0.87%). Other Results (1.30%). The non response ratio is (11.56%)distributed as: Could not reach the address (1.65 %). Temporarily closed (0.94 %). Refusal (4.60 %) . Worked in 2007, and data not collected (1.65 %). The Balance isn't ready (0.71%). Other interview result (2.01%).

The Response ratio is 88.44%

Sampling error estimates

Statistical Errors: The findings of the survey are not affected by statistical errors due to using comprehensive sample

The Survey Software Market Report is Segmented by Product (Enterprise Grade, Individual Grade), by Method (Online, Offline), by Deployment (Cloud, On-Premises), by Enterprises (SMEs, Large Enterprises), by End-User (BFSI, Healthcare, Retail, Education, Government, Other End-Users), by Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Survey of innovation and business strategy, products directly competing with highest selling good or service in the enterprise's main market, by North American Industry Classification System (NAICS) and enterprise size, all surveyed industries

Survey of innovation and business strategy, advanced technology use, by North American Industry Classification System (NAICS) and enterprise size

Abstract

The central statistical offices in most countries place heavy emphasis on constructing sound databases for all activities within the services sector. PCBS’ Services Statistics Program is part of the Economic Statistics Program, which is part of the larger program for establishing the System of Official Statistics for Palestine. PCBS initiated, in the reference year 1994, the economic surveys series. The series includes, in addition to the services survey, surveys on industry, internal trade construction-contractors, and transport and storage sectors for the purpose of establishing a time series database of economic activities in line with international recommendations specified in System of National Account (SNA) 93 and in the UN manual for Services Statistics.

Objectives: The objective of the survey was to obtain data on:

1. Number of enterprises and persons engaged in services by activity and location.
2. Value of output, intermediate consumption and stocks.
3. Value added components.
4. Payments and transfers.
5. Capital formation.
6. Contribution of the surveyed activities to the GDP and other National Accounts variables.

Target Population

PCBS depends on the International and Industrial Classification of all economic activities, version 3, (ISIC - 3) by the United Nation to classify the economic activities. The services survey covers the following activities: 1. Hotels and restaurants 2. Real estate, renting and business activities 3. Education 4. Health and social work 5. Other community, social and personal service activities

Geographic coverage

West Bank and Gaza Strip.

Analysis unit

Enterprise constitutes the primary sampling unit (PSU)

Universe

Enterprise: It is an economic entity that is capable, in its own right, of owning assets, incurring liabilities and engaging in economic activities and in transactions with other entities. Includes enterprise related to household and branches, and enterprise related to non-financial companies sector.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of the Services Survey is a single-stage stratified random - systematic sample in which the enterprise constitutes the primary sampling unit (PSU). Three levels of strata were used to arrive at an efficient representative sample (i.e. economic activity, size of employment and geographical levels).

The sample size amounted to 1,522 enterprises out of the 12,970 enterprises that comprise the survey frame.

Mode of data collection

Face-to-face [f2f]

Research instrument

Survey Questionnaire

There is one form of the services survey questionnaire 2000, related to household and branches, and the non-finance companies sector. The questionnaire contains the following main variables: 1. Number of employees in a company and their compensations. 2. The output of the main and second activities. 3. Goods production inputs. 4. Various payments and transfers. 5. Indirect taxes. 6. Enterprises assets.

Cleaning operations

Data processing: For ensuring quality and consistency of data, a set of measures were taken into account for strengthening accuracy of data as follows: - Preparing data entry program before data collection for checking readiness of the program for data entry. - A set of validation rules were applied on the program for checking consistency of data. - Efficiency of the program was checked through pre-testing in entering few questionnaires, including incorrect information for checking its efficiency in capturing these information. - Well trained data keyers were selected and trained for the main data entry. - Weekly or biweekly data files were received by project management for checking accuracy and consistency, notes of correction were provided for data entry management for correction.

Response rate

82%

Sampling error estimates

Statistical Errors: The findings of the survey are affected by statistical errors due to using sampling in conducting the survey for the units of the target population, which increases the chances of having variances from the actual values we expect to obtain from the data had we conducted the survey using comprehensive enumeration. The variance of the key goods in the survey was computed and dissemination was carried out on the level of the Palestinian Territory for reasons related to sample design and computation of the variance of the different indicators.

Non-Statistical Errors These types of errors could appear on one or all the survey stages that include data collection and data entry: Response errors: these types of errors are related to, responders, fieldworkers, and data entry personnel's. And to avoid mistakes and reduce the impact has been a series of actions that would enhance the accuracy of the data through a process of data collection from the field and the data processing.