This dataset holds a collection of reports for the Federal Service Contract Inventory. Section 743 of Division C of the Fiscal Year 2010 Consolidated Appropriations Act, P.L. 111-117, requires civilian agencies to prepare an annual inventory of their service contracts. A service contract inventory assists an agency in better understanding how contracted services support the mission and operations and whether the contractors' skills are utilized in an appropriate manner. All service contracts over $25,000 awarded by the Social Security Administration from FY 2011 are included in this collection. The summary inventory lists the top ten product service codes by total dollar value from the inventory and special interest product service codes identified by the Office of Management and Budget.

The Civil Rights Data Collection, 2004 (CRDC 2004), is part of the Civil Rights Data Collection (CRDC) program. CRDC 2004 (https://ocrdata.ed.gov/) is a cross-sectional survey that collects data on key education and civil rights issues in the nation's public school, including student enrollment and educational programs and services, disaggregated by race/ethnicity, sex, limited English proficiency, and disability. The study was conducted using surveys of LEAs and the schools in the LEAs. LEAs and BOCES-type regional education centers functioning as LEAs were sampled. Prior to 2011-12, charter schools were primarily sampled if they were part of a LEA, not if they were a separate charter school district. For CRDC 2004, the response rates, including partial respondents to the data collection, were approximately 97% of all LEAs (95% of all LEAs responded completely with clean data-which is consistent with the 2002 Elementary and Secondary Survey), and 97% of all schools (94% of all schools responded completely with clean data). Key statistics produced from CRDC 2004 can provide information about critical civil rights issues as well as contextual information on the state of civil rights in the nation, including enrollment demographics, advanced placement, discipline, and special education services.

Abstract

The documented dataset covers Enterprise Survey (ES) panel data collected in Malawi in 2009 and 2014, as part of Africa Enterprise Surveys roll-out, an initiative of the World Bank.

New Enterprise Surveys target a sample consisting of longitudinal (panel) observations and new cross-sectional data. Panel firms are prioritized in the sample selection, comprising up to 50% of the sample in the current wave. For all panel firms, regardless of the sample, current eligibility or operating status is determined and included in panel datasets.

Malawi ES 2014 was conducted between April 2014 and February 2015, Malawi ES 2009 was carried out in May - July 2009. The objective of the Enterprise Survey is to obtain feedback from enterprises 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.

Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews.

Data from 673 establishments was analyzed: 436 businesses were from 2014 ES only, 63 - from 2009 ES only, and 174 firms were from both 2009 and 2014 panels.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs and 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 percent of the questions objectively measure 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.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an 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 whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population 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. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

For the Malawi ES, multiple sample frames were used: a sample frame was built using data compiled from local and municipal business registries. Due to the fact that the previous round of surveys utilized different stratification criteria in the 2009 survey sample, the presence of panel firms was limited to a maximum of 50% of the achieved interviews in each stratum. That sample is referred to as the panel.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments were used for Malawi ES 2009 and 2014: - Manufacturing Module Questionnaire - Services Module Questionnaire

The survey is fielded via manufacturing or services questionnaires in order not to ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth. There is a skip pattern in the Service Module Questionnaire for questions that apply only to retail firms.

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

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

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 "Refusal to respond" (-8) as a different option from "Don't know" (-9). 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.

The dataset collection is a comprehensive set of data tables derived from the 'Tilastokeskus' (Statistics Finland) website in Finland. These tables form an interconnected group, each contributing to a broader understanding of the topic. The contents of the dataset are organized into a table format, with related data systematically arranged into rows and columns. The data within this collection is primarily sourced from the 'Tilastokeskuksen palvelurajapinta (WFS)', which translates to 'Statistics Finland's service interface (WFS)'. This denotes the source of the data, signifying that it has been retrieved from a reliable and authoritative statistical service in Finland. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi).

Abstract copyright UK Data Service and data collection copyright owner.

Renaissance was the Museums, Libraries and Archives Council's (MLA) programme to transform England's regional museums. The programme has received over £300 million since 2002 which has been allocated across nine regional museum hubs. Regional museum hubs are a cluster of four-five museums which receive government investment in order to develop as centres of excellence and as leaders of their regional museum communities.

MLA has been gathering data from the nine regional museum hubs from 2002-2003 to 2007-2008. The Renaissance Data Collection is a quarterly return of data from each site participating in the Renaissance in the Regions Programme. The data returns contain information on numbers of: visits; priority group visits; child visits; website visits; school visits; Higher Education visits; adult and child on-site participation; and outreach activity. The data returns support Programme management and monitoring and forms the basis of the Renaissance Museums Performance Indicator statistical series.

From the 30th June 2011, the regional Renaissance hub structure ceases to exist. 2011-12 is a transitional year for Renaissance, in which £37.6 million of grant funding, previously known as museum hub funding, has been made available instead directly to 45 museum services.

Further information about Renaissance can be found on the MLA's Renaissance Data Collection web page.

Main Topics:
Data were recorded by hubs and submitted to the MLA on a quarterly basis, following a financial year cycle e.g. Q1 (April to June).

Data were submitted in an Excel workbook (Data Collection Template) that consists of six worksheets, covering six different areas of museums activity:

• Template 1: number of self-directed visits by children and young people in formal education
• Template 2: number of facilitated visits by children and young people in formal education
• Template 3: number of instances of children, young people and adults participating in museums’ outreach activities
• Template 4: number of instances of teachers in contact with museums
• Template 5: number of instances of children, young people and adults participating in organised activities at museums
• Template 6: visits, child visits, web visits and loan venues

Within each template there are a number of different measures, with hubs reporting on a total of 67 performance indicators. A breakdown of each template measure and accompanying guidelines can be found in the Audience Data Collection Manual 2008.
Data were not collected for templates 2 and 5 and parts of template 3, in 2003-2004 - see individual data files for details.

Established to gain a better understanding of the current situation with regard to NHS wheelchair services in England and to support commissioners and providers to improve services.

This dataset collection is a compilation of data tables sourced from the website of Tilastokeskus (Statistics Finland), in Finland. The collection comprises numerous tables, each filled with related data that's been meticulously organized into columns and rows. The data within the collection is served from the Statistics Finland's service interface (WFS). Given the nature of the source and the method of data delivery, this dataset collection provides a rich and in-depth analysis opportunity for those seeking to examine and understand the specific data field it covers. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi).

The size and share of the market is categorized based on Type (2D Mapping, 3D Mapping) and Application (Architecture, Environment, Engineering, Agriculture, Others) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Graph and download economic data for Total Revenue for Collection Agencies, All Establishments, Employer Firms (REVEF56144ALLEST) from 1998 to 2022 about collection, agency, employer firms, accounting, revenue, establishments, services, and USA.

The Civil Rights Data Collection, 2015-16 (CRDC 2015-16) is part of the Civil Rights Data Collection (CRDC) program; program data are available beginning with the 2000 collection at https://civilrightsdata.ed.gov/data. CRDC 2015-16 is a cross-sectional survey that collects data on key education and civil rights issues in the nation's public schools, which include student enrollment and educational programs and services, disaggregated by race/ethnicity, sex, limited English proficiency, and disability. LEAs submit administrative records about schools in the district. CRDC 2015-16 is a universe survey. Key statistics produced from CRDC 2015-16 can provide information about critical civil rights issues as well as contextual information on the state of civil rights in the nation, including enrollment demographics, advanced placement, school discipline, and special education services.

This is a national data collection of data resources managed by the Bureau of Ocean Energy Management (BOEM) for the Outer Continental Shelf (OCS). The data collection is designated as a National Geospatial Data Asset (NGDA) and includes: OCS BOEM Offshore Boundary Lines (Submerged Lands Act Boundary, OCSLA Limit of “8(g) Zone,” and Continental Shelf Boundary), OCS Protraction Polygons - 1st Division, OCS Gulf of Mexico NAD27 Protraction Polygons - 1st Division, OCS Block Polygons - 2nd Division, OCS Gulf of Mexico NAD27 Block Polygons - 2nd Division, and Aliquot 16ths Polygons - 3rd Division.All polygons are clipped to the Submerged Land Act Boundary and Continental Shelf Boundaries reflecting federal jurisdiction. The NAD27 Gulf of Mexico Protractions and Blocks have a different protraction and block configuration when compared to the OCS Protraction Polygons - 1st Division and OCS Block Polygons - 2nd Division. The NAD27 Gulf of Mexico data is used for Oil and Gas leasing.These data were created in the applicable NAD83 UTM or NAD27 UTM/SPCS Projection and re-projected to GCS WGS84 (EPSG 4326) for management in BOEM"s enterprise GIS. However, the services in this collection have been published in WGS 1984 Web Mercator Auxiliary Sphere (EPSG 3857). Because GIS projection and topology functions can change or generalize coordinates,these data are NOT an OFFICIAL record for the exact boundaries. These data are to be used for Cartographic purposes only and should not be used to calculate area.Layers MetadataOCS BOEM Offshore Boundary LinesOCS Protraction Polygons - 1st DivisionOCS Gulf of Mexico NAD27 Protraction Polygons - 1st DivisionOCS Block Polygons - 2nd DivisionOCS Gulf of Mexico NAD27 Block Polygons - 2nd DivisionAliquot 16ths Polygons - 3rd Division

Information received in response to the data gathering initiative on certain phthalate substances (2013). To increase transparency and to facilitate access to information on substances in commerce in Canada, the Government of Canada is providing the summary of the information received in response to the Notice with respect to certain phthalate substances, which was published in the Canada Gazette in July 2013. The data gathering was conducted under the Substance Groupings Initiative of the second phase of the Chemicals Management Plan (CMP), to support risk assessment and risk management activities for these substances. The information gathered under this initiative includes general information on what was received including the type of submission, the main substances reported, activities, substance functions and commercial uses reported, the main industrial sectors involved, and the scientific studies reported for each substance. To complement this summary, a compilation of the non-confidential information received is available for download in various formats. Important information about this summary: The information provided under the Notice was collected for the 2012 calendar year. Code 999 "Other" was provided for a Substance Function Code or a Consumer and Commercial Code, it indicates that the codes listed in sections 14 and 15 of Schedule 3 to the Notice did not apply and a description of the function or use was required. Please refer to sections 14 and 15 of Schedule 3 to the Notice or section 6.4 of the Guidance Document for the full list of codes and their corresponding descriptions. Useful links: http://gazette.gc.ca/rp-pr/p1/2013/2013-07-13/html/notice-avis-eng.html https://www.canada.ca/en/health-canada/services/chemical-substances/substance-groupings-initiative/phthalate.html https://www.ec.gc.ca/ese-ees/default.asp?lang=En&n=621B321E-1

Abstract

The documented dataset covers Enterprise Survey (ES) panel data collected in Lesotho in 2009 and 2016, as part of Africa Enterprise Surveys rollout, an initiative of the World Bank. The objective of the Enterprise Survey is to obtain feedback from enterprises 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.

Enterprise Surveys target a sample consisting of longitudinal (panel) observations and new cross-sectional data. Panel firms are prioritized in the sample selection, comprising up to 50% of the sample in the current wave. For all panel firms, regardless of the sample, current eligibility or operating status is determined and included in panel datasets.

Lesotho ES 2009 was conducted from September 2008 to February 2009, Lesotho ES 2016 was carried out in June - August 2016. Stratified random sampling was used to select the surveyed businesses. Data was collected using face-to-face interviews.

Data from 301 establishments was analyzed: 90 businesses were from 2009 only, 89 - from 2016 only, and 122 firms were from 2009 and 2016.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs and 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 percent of the questions objectively measure 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.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an 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 whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population 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. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

Two levels of stratification were used in this country: industry and establishment size.

Industry stratification was designed as follows: the universe was stratified as into manufacturing and services industries - Manufacturing (ISIC Rev. 3.1 codes 15 - 37), and Services (ISIC codes 45, 50-52, 55, 60-64, and 72).

For the Lesotho ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees). Regional stratification did not take place for the Lesotho ES.

In 2009, it was not possible to obtain a single usable frame for Lesotho. Instead frames were obtained from two government branches: the Chamber of Commerce and the Ministry of Trade, Industry, Cooperatives and Marketing. Those frames were merged and duplicates removed to provide the frame used for the survey.

In 2016 ES, the sample frame consisted of listings of firms from two sources: for panel firms the list of 151 firms from the Lesotho 2009 ES was used and for fresh firms (i.e., firms not covered in 2009) firm data from Lesotho Bureau of Statistics Business Register, published in August 2015, was used.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments were used for Lesotho ES: - Manufacturing Module Questionnaire - Services Module Questionnaire

The survey is fielded via manufacturing or services questionnaires in order not to ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth. There is a skip pattern in the Service Module Questionnaire for questions that apply only to retail firms.

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

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

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 "Refusal to respond" (-8) as a different option from "Don't know" (-9). 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.

In an effort to increase transparency and to facilitate access to information on substances in commerce in Canada, the Government of Canada is publishing a summary of the information received in response to the Notice to provide information for the risk management of certain coal tars and their distillates. The notice was published on December 1, 2018 in the Canada Gazette, Part I, Vol. 152, No. 48, pursuant to paragraph 71(1)(b) of the Canadian Environmental Protection Act, 1999 (CEPA). Information gathered under the notice will be considered to determine whether to control, or the manner in which to control the risks posed by the substance. This summary offers an overview of the information gathered under the initiative and includes general information on what was received from persons subject to the notice, including: number and type of submissions; substances reported; activities (manufacture, import, use to manufacture); quantities; industry classification; and applications. The draft screening assessment report on certain coal tars and their distillates can be found on the Stream 0 substances in the Petroleum Sector Stream Approach webpage. To complement this summary, data compilation tables, containing additional details on the non-confidential information received, are available for download in Microsoft Excel and comma-separated value (CSV) format. Important information about this summary: In order to protect confidential business information (CBI), quantity ranges and exclusion of qualitative data elements have been applied in some cases. Qualitative data includes information that characterizes and categorizes information [e.g. company names, North American Industry Classification System (NAICS) codes, specified uses, and Application codes]. The dataset does not include CBI, consequently, the figures presented may be an underestimate. Code C999 "Other" was provided for an Application code, it indicates that the codes listed in the notice did not apply and a description was required. Please refer to the notice for the full list of codes and their corresponding descriptions. Supplemental Information Useful links: https://gazette.gc.ca/rp-pr/p1/2018/2018-12-01/html/notice-avis-eng.html https://www.canada.ca/en/environment-climate-change/services/evaluating-existing-substances/coal-tars-guidance-summary.html https://www.canada.ca/en/health-canada/services/chemical-substances/petroleum-sector-stream-approach/stream-0.html https://www.canada.ca/en/health-canada/services/chemical-substances/petroleum-sector-stream-approach/stream-0/coal-tars-distillates.html

Abstract

This research was conducted in Albania between March 2013 and July 2013, as part of the fifth round of the Business Environment and Enterprise Performance Survey (BEEPS V), a joint initiative of the World Bank and the European Bank for Reconstruction and Development. 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 Albania, data from 360 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses.

The survey topics include firm characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement collaboration, security, government policies, laws and regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, and workforce composition.

In 2011, the innovation module was added to the standard set of Enterprise Surveys questionnaires to examine in detail how introduction of new products and practices influence firms' performance and management.

Geographic coverage

National

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 was selected using stratified random sampling technique. Three levels of stratification were used: industry, establishment size, and region.

Industry was stratified into one manufacturing and two service sectors (retail, and other services).

Size stratification was defined following the standardized definition for the roll-out: 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 4 regions (city and the surrounding business area) throughout Albania.

The sample frame used for the survey was from block enumeration. The enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 360 establishments with five or more employees.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be 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 11.2% (50 out of 448 establishments).

In the dataset, the variables a2 (sampling region), a6a (sampling establishment's size), and a4a (sampling sector) contain the establishment's classification into the strata chosen for each country using information from the sample frame. Variable a4a coded using ISIC Rev 3.1 codes for the chosen industries for stratification. These codes include most manufacturing industries (15 to 37), retail (52), and (45, 50, 51, 55, 60-64, 72) for other services.

Mode of data collection

Face-to-face [f2f]

Research instrument

The structure of the data base reflects the fact that three different versions of the questionnaire were used. The basic questionnaire, the Core Module, includes all common questions asked to all establishments from all sectors. The second expanded variation, the Manufacturing Questionnaire, is built upon the Core Module and adds some specific questions relevant to manufacturing sectors. The third expanded variation, the Retail Questionnaire, is also built upon the Core Module and adds to the core specific questions relevant to retail firms. Each variation of the questionnaire is identified by the index variable, a0.

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

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether, while the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

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.

The number of realized interviews per contacted establishments was 0.8. 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 0.03.

Abstract

The documented dataset covers Enterprise Survey (ES) panel data collected in Paraguay in 2006, 2010 and 2017, as part of Latin America and the Caribbean Enterprise Surveys rollout, an initiative of the World Bank. The objective of the study is to obtain feedback from enterprises in client countries 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 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.

Enterprise Surveys target a sample consisting of longitudinal (panel) observations and new cross-sectional data. Panel firms are prioritized in the sample selection, comprising up to 50% of the sample. For all panel firms, regardless of the sample, current eligibility or operating status is determined and included in panel datasets.

Paraguay ES 2010 was conducted in June 2010 and April 2011, Paraguay ES 2006 was carried out in March and October 2006. Stratified random sampling was used to select the surveyed businesses. Data was collected using face-to-face interviews.

Data from 1,338 establishments was analyzed: 460 businesses were from 2006 only, 153 - from 2010 only, 246 - from 2017 only, 110 firms were from 2010 and 2017, 180 - from 2006 and 2010, 186 firms were from 2006, 2010 and 2017.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs and 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 percent of the questions objectively measure 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.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an 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 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.

Kind of data

Sample survey data [ssd]

Sampling procedure

Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed as follows: the universe was stratified into Manufacturing industries (ISIC Rev. 3.1 codes 15- 37), Retail industries (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72).

Size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

In 2010, two sample frames were used. The first was supplied by the World Bank and consists of enterprises interviewed in Paraguay 2006. The World Bank required that attempts should be made to re-interview establishments responding to the Paraguay 2006 survey where they were within the selected geographical locations and met eligibility criteria. That sample is referred to as the Panel.

The two sample frames were then used for the selection of a sample with the aim of obtaining interviews with 360 establishments with five or more employees.

Mode of data collection

Face-to-face [f2f]

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

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

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 "Refusal to respond" (-8) as a different option from "Don't know" (-9). 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.

Information received in response to the data gathering initiative on certain substituted diphenylamine substances (2012).

To increase transparency and to facilitate access to information on substances in commerce in Canada, the Government of Canada is providing the summary of the information received in response to the Notice with respect to certain substituted diphenylamine substances, which was published in the Canada Gazette in June 2011. The data gathering was conducted under the Substance Groupings Initiative of the second phase of the Chemicals Management Plan (CMP), to support risk assessment and risk management activities for these substances.

The information gathered under this initiative includes general information on what was received including the type of submission, the main substances reported, activities, substance functions and commercial uses reported, the main industrial sectors involved, and the scientific studies reported for each substance. To complement this summary, a compilation of the non-confidential information received is available for download in various formats.

Important information about this summary:

The information provided under the Notice was collected for the 2010 calendar year.

Code 999 "Other" was provided for a Substance Function Code or a Consumer and Commercial Code, it indicates that the codes listed in sections 14 and 15 of Schedule 3 to the Notice did not apply and a description of the function or use was required.

Please refer to sections 14 and 15 of Schedule 3 to the Notice or section 6.4 of the Guidance Document for the full list of codes and their corresponding descriptions.

Useful links:

http://gazette.gc.ca/rp-pr/p1/2012/2012-06-30/html/notice-avis-eng.html

https://www.canada.ca/en/health-canada/services/chemical-substances/substance-groupings-initiative/substituted-diphenylamine.html

https://www.ec.gc.ca/ese-ees/default.asp?lang=En&n=E0808A9B-1

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