Nonemployer Statistics is an annual series that provides statistics on U.S. businesses with no paid employees or payroll, are subject to federal income taxes, and have receipts of $1,000 or more ($1 or more for the Construction sector). This program is authorized by the United States Code, Titles 13 and 26. Also, the collection provides data for approximately 450 North American Industry Classification System (NAICS) industries at the national, state, county, metropolitan statistical area, and combined statistical area geography levels. The majority of NAICS industries are included with some exceptions as follows: crop and animal production; investment funds, trusts, and other financial vehicles; management of companies and enterprises; and public administration. Data are also presented by Legal Form of Organization (LFO) (U.S. and state only) as filed with the Internal Revenue Service (IRS). Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income. Nonemployers Statistics features nonemployers in several arts-related industries and occupations, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Nonemployer Statistics data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the Census Bureau. The data are processed through various automated and analytical review to eliminate employers from the tabulation, correct and complete data items, remove anomalies, and validate geography coding and industry classification. Prior to publication, the noise infusion method is applied to protect individual businesses from disclosure. Noise infusion was first applied to Nonemployer Statistics in 2005. Prior to 2005, data were suppressed using the complementary cell suppression method. For more information on the coverage and methods used in Nonemployer Statistics, refer to NES Methodology. The majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. The annual Nonemployer Statistics data are available approximately 18 months after each reference year. Data for years since 2002 are published via comma-delimited format (csv) for spreadsheet or database use, and in the American FactFinder (AFF). For help accessing the data, please refer to the Data User Guide.

This layer contains data on the number of establishments, total employment, and total annual payroll for for 20 selected 4- and 5-digit North American Industry Classification System (NAICS) codes. This is shown by county and state boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. This layer is symbolized to show the total number of establishments depicted by size, and the average annual pay per employee, depicted by color.

Current Vintage: 2017

CBP Table: CB1700CBP

Data downloaded from: Census Bureau's API for County Business Patterns

Date of API call: June 1, 2019

The United States Census Bureau's County Business Patterns Program (CBP):

About this Program Data Technical Documentation News & Updates

This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data.

Data Processing Notes: Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 56 records - all US states, Washington D.C., Puerto Rico, and U.S. Island Areas Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov or Census Business Builder for more details on these withheld records.

Abstract

Following a Prime Minister's Decision a General survey was carried out on national scope on the 1st July, 2002. This is the second following the first in 1995 General survey. The Survey targets data on the number of establishments in all 61 provinces and cities of the country, their number of used labors and operation performance.

In the General Survey, the surveyed unit is reffered to as the "establishment" which is defined as any business, public administrative, association, politiccal... establishment that has stable address and operates continuously for at least 3 months a year.

The survey was conducted nation-wide covering all of the establishments that are operating within Vietnam's territory regardless of type of organisation or industry they may belong to (except agricultural co-operatives and agricultural, forest and aquatic family businesses that were surveyed in 2001). In the Group of Business establishments the objects of the survey are all of the self-accounting enterprises including collective and foreign invested ones, their branchs, affiliates, representative offices. The individual businesses both registered or non-registered are also included only if they are operative still in a definite industry.

As for Group of Public Administrative, Partial, Association... establishments the surveyed objects include Governmental agencies, political (partial) organisations, socio-political organisations (unions), socio-professional associations, socio-religious organisations, public service organisations (educational, healthcare, cultural, social, sport, science research, technology, environmental...) and their affiliates.

The General Survey scope and objects described above had explained for it's diversity but nevertheless the unity of the survey had been kept in the definition of "Unit" and "Business activity". The distinguished feature of the "establishment"-surveyed object is that the establishment is identifined by it's address not depending on it's size or whether it is a self-accounting or dependent. This means that an establishment could be a large independent enterprise with permanent address or a small dependent shop with separate operating area. It could be a university or the university's faculty but located in another place... "Business activity" is understood according to the classification of national economic sector activities (issued under Decree Number 75/CP of the Government) that includes production and trading sector (from Activity A to Activity I, Activity L, Activity T) and administrative, public service sector (Activities K, M, N, O, P Q). With this unique understanding the General Survey collected data will reflect the situation and results of economic activities in each regional territory. The classification of economic establishments according to their type of organisation, economic sector, labor usage size, labor sex, level of IT application, performance in each province, city, district, commune, precinct provides useful information for sector development policy makers, infrastructure development planners, economic analysts and social labor issue officers. The General Survey also provides a sery of standard forms that can be used for other subsequent anual surveys.

The General Survey of economic, administrative, public service establisments will reflect comprehensively and synchronously operation results of economic establishments of various sectors (except agricultural co-operatives and in agricultural, forestal and aquatic family businesses, the survey of which was conducted in 2001). The combination of the survey and general survey of rural agriculture (that normaly takes place a year ahead) will give a comprehensive picture of the economy.

Geographic coverage

National

Analysis unit

Establishment

Universe

The size of business under 5 employees.

Coverage of survey include all establishments and units located in Vietnam, belonging to different types of economic activities (except for individual establishments of agriculture, forestry and fishery, individual establishments without having resident locations and foreign missions and international organisations).

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

Contents of the census consist of 4 main groups of indicators: - Group of indicators for identification of establishment: fax, Email; Type of economic; branch and professional activities. - Group of indicators for labor and income of employee: Labor (by gender, education and training) wages and salary, compensation of employees. - Group of indicators for IT application: Number of establishments equipped with computer; number of PCs in use, number of stations connected with LAN, with Internet; number of establishments having Website, email. - Group of indicators for outputs and financial accounts: turnover, capital, assets, cost, and benefit, lost.

Data appraisal

A series of data quality tables and graphs are available to review the quality of the data and include the following: - Industry - Agriculture

Abstract

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

The specific objectives will be to:

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

Geographic coverage

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

Analysis unit

Businesses

Kind of data

Sample survey data [ssd]

Sampling procedure

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

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

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

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

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

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

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire is structured.

Response rate

The response rate for the IBES 2019 was 87 percent.

Reference Layer: County Business Patterns (CBP) from Economic Census 2017This layer contains data on the number of establishments, total employment, and total annual payroll for for 20 selected 4- and 5-digit North American Industry Classification System (NAICS) codes. This is shown by county and state boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. This layer is symbolized to show the total number of establishments depicted by size, and the average annual pay per employee, depicted by color. Current Vintage: 2017CBP Table: CB1700CBPData downloaded from: Census Bureau's API for County Business Patterns Date of API call: June 1, 2019 The United States Census Bureau's County Business Patterns Program (CBP):About this ProgramDataTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data. Data Processing Notes:Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 56 records - all US states, Washington D.C., Puerto Rico, and U.S. Island AreasBlank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov or Census Business Builder for more details on these withheld records

Release Date: 2020-12-17.Release Schedule:.The data in this file come from the 2017 Economic Census of Island Areas data files released on a flow basis from October 2019 through December 2020. For more information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments and firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry..The level of geographic detail covered varies by island. Refer to geographic area definitions for a detailed list of the geographies. Note that some tables include geography levels that only pertain to Puerto Rico..Some noise range columns are hidden..Totals may not sum due to rounding...Data Items and Other Identifying Records: .Number of establishments.Annual payroll ($1,000).First-quarter payroll ($1,000).Employers cost for legally required fringe benefits ($1,000).Voluntarily provided fringe benefits ($1,000).Number of employees.Number of production workers, average for year.Production workers wages ($1,000).Other employees (paid employees for pay period including March 12).Total payroll for other employees ($1,000).Value added ($1,000).Total cost of supplies and/or materials ($1,000).Total capital expenditures for buildings, structures, machinery, and equipment (new and used) ($1,000).Total rental payments and lease payments ($1,000).Sales, value of shipments, or revenue ($1,000).Range indicating percent of total annual payroll imputed.Range indicating percent of total employees imputed.Range indicating percent of total sales, value of shipments, or revenue imputed..Geography Coverage:.The data are shown for employer establishments and firms that vary by industry: . At the Territory, Metropolitan and Micropolitan Statistical Area, Combined Statistical Area, and Municipio level for Puerto Rico.For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown for Puerto Rico at the 2- through 5-digit NAICS code levels for the manufacturing industry. For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector00/IA1700IND11.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

Abstract

Census of Population and Housing (CPH) refers to the entire process of collecting, compiling, evaluating, analyzing, publishing, and disseminating data about the population and the living quarters in a country. It entails the listing and recording of the characteristics of each individual and each living quarter as of a specified time and within a specified territory. In other words, the CPH offers a “snapshot” of the entire population on a specific date, that is, how many people reside within the national borders, who they are, and where they live during such specified date. Also, included are the characteristics of the housing units where they reside.

The 2010 CPH is designed to take an inventory of the total population and housing units in the Philippines and collect information about their characteristics. The census of population is the source of information on the size and distribution of the population, as well as their demographic, social, economic, and cultural characteristics. The census of housing, on the other hand, provides information on the stock of housing units and their structural characteristics and facilities which have bearing on the maintenance of privacy and health, and the development of normal family living conditions. These information are vital for making rational plans and programs for local and national development.

Specifically, the 2010 CPH aims to: - obtain comprehensive data on the size, composition, and distribution of the population of the Philippines; - gather data on birth registration, literacy, school attendance, place of school, highest grade/year completed, residence 5 years ago, overseas worker, usual occupation, kind of business or industry, class of worker, place of work, fertility, religion, citizenship, ethnic group, disability, and functional difficulty, and determine their geographic distribution; - take stock of the housing units existing in the country and to get information about their geographic location, structural characteristics, and facilities, among others; - obtain information on the characteristics of the barangay, which will be used as basis for urban-rural classification; and - serve as sampling frame for use in household-based surveys.

Data collected in this census were compiled, evaluated, analyzed, published, and disseminated for the use of government, business, industry, social scientists, other research and academic institutions, and the general public. Among the important uses of census data are the following:

In government: - redistricting and apportionment of congressional seats; - allocation of resources and revenues; - creation of political and administrative units; - formulation of policies concerning population and housing; and - formulation of programs relative to the delivery of basic services for health, education, housing, and others

In business and industry: - determination of sites for establishing businesses; - determination of consumer demands for various goods and services; and - determination of supply of labor for the production of goods and services

In research and academic institutions: - conduct of researches on population and other disciplines; and - study of population growth and distribution as basis in preparing projections

Geographic coverage

National coverage Regions Provinces Cities and Municipalities Barangays

Analysis unit

household questionnaire: individuals (household members), households, housing units institutional questionnaire: individuals (institutional population), institutional living quarters barangay questionnaire: barangay

Universe

Census-taking in the Philippines follows a de-jure concept wherein a person is counted in the usual place of residence or the place where the person usually resides. Information on the count of the population and living quarters were collected with 12:01 a.m. of May 1, 2010 as the census reference time and date.

The following individuals were enumerated:

• Those who were present at the time of visit and whose usual place of residence is the housing unit where the household lives.

• Those whose usual place of residence is the place where the household lives but are temporarily away at the time of the census.

• Boarders/lodgers of the household or employees of household-operated businesses who do not usually return/go to their respective homes weekly.

• Overseas workers and who have been away at the time of the census for not more than five years from the date of departure and are expected to be back within five years from the date of last departure.

• Filipino "balikbayans" with usual place of residence in a foreign country but have resided or are expected to reside in the Philippines for at least a year from their arrival.

• Citizens of foreign countries who have resided or are expected to reside in the Philippines for at least a year from their arrival, except members of diplomatic missions and non-Filipino members of international organizations.

• Persons temporarily staying with the household who have no usual place of residence or who are not certain to be enumerated elsewhere.

Kind of data

Census/enumeration data [cen]

Sampling procedure

In the 2010 CPH, there are basically two types of questionnaires used for the enumeration of household members. These are CPH Form 2 or the Common Household Questionnaire and CPH Form 3 or the Sample Household Questionnaire. CPH Form 3 contains more questions than CPH Form 2.

The 2010 CPH was carried out through a combination of complete enumeration and sampling. For this census, systematic cluster sampling was adopted. This sampling method is designed in such a way that efficient and accurate estimates will be obtained at the city/municipality level.

The sampling rate or the proportion of households to be selected as samples depends on the size of the city/municipality where the Enumeration Area (EA) is located. For the cities/municipalities with estimated number of households of 500 and below, 100 percent sampling rate was used. While for those cities/municipalities with estimated number of households of 501 and above, a sampling rate of 20 percent was implemented.

In this sampling scheme, each city/municipality was treated as a domain. For city/municipality with 100 percent sampling rate, all households in all the EAs within this city/municipality were selected as samples. For those with a 20 percent sampling rate, systematic cluster sampling was adopted. That is, sample selection of one in five clusters with the first cluster selected at random. Thus in effect, the EAs belonging to the city/municipality with 20 percent sampling rate are divided into clusters of size 5. Random start is pre-determined for each EA.

If the sampling rate applied to a city/municipality is 100 percent, it means that all households in that municipality were administered with CPH Form 3. If it is 20 percent, it means that 20 percent of all households used CPH Form 3 while 80 percent used CPH Form 2.

The random start used by EA is a number from 1 to 5 which was used to select the cluster where the first sample households in an EA, and subsequently the other sample households, were included.

Clusters are formed by grouping together households that have been assigned consecutive serial numbers as they were listed in the Listing Booklet. For a 20 percent sampling rate, clusters were formed by grouping together five households.

Mode of data collection

Face-to-face [f2f]

Research instrument

CPH Form 1 - Listing Booklet This form is a booklet used to list the buildings, housing units, households, and the Institutional Living Quarters (ILQs) within an EA. This form also records other important information such as the name of household heads and name and type of institutions and their addresses, population totals, and counts of males and females.

CPH Form 2 - Common Household Questionnaire This is the basic census questionnaire, which was used to interview and record information about the common or nonsample households. This questionnaire gathered information on the following demographic and socio-economic characteristics of the population: relationship to household head, sex, date of birth, age, birth registration, marital status, religion, ethnicity, citizenship, disability, functional difficulty, highest grade/year completed, residence 5 years ago, and overseas worker. It also contains questions on the type of building/house, construction materials of the roof and outer walls, state of repair of the building/house, year the building/house was built, floor area of the housing unit, and tenure status of the lot.

CPH Form 3 - Sample Household Questionnaire This is the basic census questionnaire, which was used to interview and record information about the sample households. This questionnaire contains ALL questions asked in CPH Form 2 PLUS additional population questions: literacy, school attendance, place of school, usual occupation, kind of business or industry, class of worker, place of work, and some items on fertility. Moreover, there are additional questions on household characteristics: fuel for lighting and cooking, source of water supply for drinking and/or cooking and for laundry, and bathing, tenure status of the housing unit, acquisition of the housing unit, source of financing of the housing unit, monthly rental of the housing unit, tenure status of the lot, usual manner of garbage disposal, kind of toilet facility, and land ownership. It also asked questions on the language/dialect generally spoken at home, residence five years from now, and presence of household conveniences/devices, and access to internet.

CPH Form 4 -

This layer contains data on the number of establishments, total employment, and total annual payroll for for 20 selected 4- and 5-digit North American Industry Classification System (NAICS) codes. This is shown by county and state boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. This layer is symbolized to show the total number of establishments depicted by size, and the average annual pay per employee, depicted by color. Current Vintage: 2022CBP Table: CB1700CBPData downloaded from: Census Bureau's API for County Business Patterns Date of API call: January 2, 2025 The United States Census Bureau's County Business Patterns Program (CBP):About this ProgramDataTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data. Data Processing Notes:Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 56 records - all US states, Washington D.C., Puerto Rico, and U.S. Island AreasBlank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov or Census Business Builder for more details on these withheld records.

Abstract

The survey was conducted in Nicaragua between October 2016 and June 2017 as part of Enterprise Surveys project, an initiative of the World Bank. The objective of the 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. Only registered businesses are surveyed in the Enterprise Survey.

Data from 333 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews.

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 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.

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 whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural 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.

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 in the way that 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).

For the Nicaragua ES, size stratification was defined as follows: small (4 to 20 employees), medium (21 to 50 employees), and large (51 or more employees). These categories differ from the global ES size definitions - small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

Regional stratification was done across four regions: Managua (department), East (departments of Masaya, Granada, and Carazo), West (departments of Chinandega and Leon), and North (departments of Esteli, Jinotega, and Matagalpa). Due to several cells without any realized interviews, the stratification regions East, West, and North were combined in one.

The sample frame consisted of listings of firms from two sources: For panel firms the list of 336 firms from the Nicaragua 2010 ES was used, and for fresh firms (i.e., firms not covered in 2010) the sample frame was comprised of a list randomly drawn from the Economic Census, provided by the Banco Central de Nicaragua. Standardized size categories provided by the Census were used.

The quality of the frame was assessed at the onset of the project through visits 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. In addition, the sample frame contains no telephone/fax numbers so the local contractor had to screen the contacts by visiting them. Due to response rate and ineligibility issues, additional sample had to be extracted by the World Bank in order to obtain enough eligible contacts and meet the sample targets.

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 22.8% (326 out of 1,430 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The structure of the data base reflects the fact that two different versions of the survey instrument were used for all registered establishments. 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).

Each variation of the questionnaire is identified by the index variable, a0.

The last complete fiscal year is January to December 2015. For questions pertaining to monetary amounts, the unit is the Nicaraguan Córdoba (NIO).

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 number of interviews per contacted establishments was 0.233. 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 0.393.

Abstract

The survey was conducted in Kenya between January 2013 and February 2014 as part of the Africa Enterprise Survey 2013 roll-out, an initiative of the World Bank. The objective of the 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.

Data from 713 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews.

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 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.

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

The sample for Kenya was selected using stratified random sampling. Three levels of stratification were used in this country: firm sector, firm size, and geographic region.

Industry stratification was designed in the way that follows: the universe was stratified into four manufacturing industries (food, textiles and garments, chemicals and plastics, other manufacturing) and two service sectors (retail and other services).

Size stratification was defined following the standardized definition for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees).

Regional stratification for the Kenya ES was defined in five regions: Central, Nyanza, Mombasa, Nairobi, and Nakuru.

For the Kenya ES, two sample frames were used. The first was supplied by the World Bank and consists of enterprises interviewed in Kenya 2007. The World Bank required that attempts should be made to re-interview establishments responding to the Kenya 2007 survey where they were within the selected geographical regions and met eligibility criteria. Due to the fact that the previous round of surveys seemed to have utilized different stratification criteria (or no stratification at all) and due to the prevalence of small firms and firms located in the capital city in the 2007 sample the following convention was used. The presence of panel firms was limited to a maximum of 50% of the achieved interviews in each cell. That sample is referred to as the Panel.

The second frame was the 2012 Census of Business Establishments of the Kenya National Bureau of Statistics (KNBS). For confidentiality purposes, KNBS randomly drew the sample of fresh establishment to be interviewed based on the sample design provided by the World Bank. The 2012 KNBS Census of Business Establishments was used a sample frame for the survey of micro firms. The sample frames were supplemented by an additional list of 70 establishments from the Nairobi City Council out of which 31 interviews were completed.

The enumerated establishments with five employees or more (fresh and panel) were then used as the sample frame for the Kenya Enterprise Survey with the aim of obtaining interviews at 720 establishments.

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 1.3% (26 out of 1,990 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - 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 number of interviews per contacted establishments was 0.36. 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 0.15.

Abstract

Toward EC2011, the pilot survey aims to:

(1) gain statistical data on the current Cambodian economy which are comparable with the results of EC2011;

(2) gain the updated list of large-scaled establishments;

(3) test the form and other documents; and

(4) test the work procedures of every stage of the enumerators, supervisors, local government offices and NIS.

An establishment is an enterprise or part of enterprise which is situated in a single location and in which only a single (non-ancillary) productive activity is carried out or in which the principal productive activity accounts for most of the value added. This conforms to the International Standard Industrial Classifications (ISIC) Rev.4 of the United Nations. Generally speaking, there are three kinds of establishments: fixed, movable, and I-8 mobile. “Fixed” means an establishment running some economic activity always in the fixed place and building. “Movable” means an establishment running some economic activity always in the fixed place, but it is possible to move the place easily. And “mobile” means an establishment running some economic activity on the run. Since the PS2010 covered “fixed” and “movable” only, unfixed “mobile" was not included in these final results.

Geographic coverage

National Province

Analysis unit

Establishment

Universe

The pilot survey covers all establishments which exist at the reference date in the territory of the Kingdom of Cambodia.

The following establishments, however, are excluded:

(1) establishments classified into "Section A, Agriculture, forestry, and fishing" specified in the United Nations International Standard Industrial Classification of Economic Activities, Revision 4 (hereinafter, quoted as ISIC);

(2) establishments classified into "Section O, Public administration and defense; compulsory social security" specified in ISIC;

(3) establishments classified into "Section U, Activities of extraterritorial organizations and bodies" specified in ISIC; and

(4) establishments classified into "Section T Activities of households as employers; undifferentiated goods-and services-producing activities of households for own use" specified in ISIC.

Kind of data

Sample survey data [ssd]

Sampling procedure

(1) All the villages were stratified into 72 strata by 24 provinces and 3 characteristics of villages (dominant industry in each village: B-F, G-I and J-U except T of ISIC),and 1-5 villages were sampled randomly from each stratum to select 199 villages/Enumeration Areas in total.

(2) Establishments with 99 persons engaged or less existing in the 199 selected villages were enumerated, and appropriate multipliers were used to estimate national total figures from the data thus collected.

(3) In addition, all the large-scaled establishments with 100 persons engaged andmore (estimated to be around 600 establishments) were enumerated throughout the country.

Mode of data collection

Face-to-face [f2f]

Research instrument

Listed below are the forms that used during the field enumeration:

Listing Form: This is a Form where in establishment within a certain village area. The establishment can be defined as an economic unit that engages, under a single ownership or control - that is, under a single legal entity - in one, or predominantly one, kind of economic activity at a single physical location.

Form Questionaire:

1.Area information

2.Establishment Information

Section for Enumerator

3.Characteristics of representative of the establishment

4.Registration to administrative agencies

5.Ownership of Establishment

6.Single unit, Head or Branch office

7.Tenure, Kind and Area

8.Opening Time

9.Year of starting business

10.Number of persons engaged actually in this establishment one week before 1 March 2010

11.Kind of main business activities

12.Number of Branch offices that this head office supervises

13.Total number of entire regular employees at the end of December 2009

14.Kind of business activities of the entire enterprise that include not only those of this head offices but also those of branch offices.

15.Does this Establishment or this Enterprise keep documents of the Balance Sheet and the Income Statements

16.Amount of sales and operating expense per day in a recent month and number of working days

17.Total amounts of assets at the end of December 2009

18.Total amount of equity held at the end of December 2009

19.Total amount of Non-current liabilities at the end of December 2009

20.Total amount of Current liabilities at the end of December 2009

21.Amount of revenue and expense in a year 2009 under “Accrual basis accounting”, which records revenues and related expenses in same period.

Cleaning operations

Coding is a part of the manual editing process that quantifies the descriptive answers to questions that are not pre-coded. The questionnaires used for the Pilot Survey 2010 of economic census have a number of questions for which descriptive answers should be recorded. Descriptive information collected in the survey that should be coded before entering the data into computer are listed below.

Questionnaire Form

• Registration to the Ministry of Commerce or Provincial Department of Commerce Q4.1 to Q4.

• Kind of Main Business Activities which this establishment only is engaged in Q11

• Kind of business activities of the entire enterprise that include not only those of this Head Q14.1 to Q14.2

Sampling error estimates

Not available

This layer contains data on the number of establishments, total employment, and total annual payroll for for 20 selected 4- and 5-digit North American Industry Classification System (NAICS) codes. This is shown by county and state boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. This layer is symbolized to show the total number of establishments depicted by size, and the average annual pay per employee, depicted by color.

Current Vintage: 2017

CBP Table: CB1700CBP

Data downloaded from: Census Bureau's API for County Business Patterns

Date of API call: June 1, 2019

The United States Census Bureau's County Business Patterns Program (CBP):

About this Program Data Technical Documentation News & Updates

This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data.

Data Processing Notes: Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 56 records - all US states, Washington D.C., Puerto Rico, and U.S. Island Areas Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov or Census Business Builder for more details on these withheld records.

Abstract

The documented dataset covers Enterprise Survey (ES) panel data collected in Nicaragua in 2003, 2006, 2010 and 2016, as part of Latin America and the Caribbean Enterprise Surveys rollout, an initiative of the World Bank. The objective of the 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. Only registered businesses are surveyed in the Enterprise Survey.

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.

Nicaragua ES 2010 was conducted in August 2010- May 2011, Ecuador ES 2016 was carried out in October 2016 - June 2017. Stratified random sampling was used to select the surveyed businesses. Data was collected using face-to-face interviews.

Data from 1,599 establishments was analyzed: 211 businesses were from 2003 only, 153 firms were from 2006 only, 119 - from 2010 only, 213 - from 2016 only, 146 firms were from 2010 and 2016, 110 - from 2006 and 2010, 72 firms were from 2003, 2006, 2010 and 2016.

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. 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 in the way that 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).

For the Nicaragua ES 2016, size stratification was defined as follows: small (4 to 20 employees), medium (21 to 50 employees), and large (51 or more employees). These categories differ from the global ES size definitions - small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

The sample frame consisted of listings of firms from two sources: For panel firms the list of 336 firms from the Nicaragua 2010 ES was used, and for fresh firms (i.e., firms not covered in 2010) the sample frame was comprised of a list randomly drawn from the Economic Census, provided by the Banco Central de Nicaragua. Standardized size categories provided by the Census were used.

In 2010, regional stratification was defined in two locations (city and the surrounding business area): Managua and the Rest of the Country.

Mode of data collection

Face-to-face [f2f]

Research instrument

The structure of the data base reflects the fact that two different versions of the survey instrument were used for all registered establishments. 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).

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.

Key Table Information.Table Title.Island Areas: Employment and Payroll Statistics by Construction Industry for Puerto Rico and Municipios: 2022.Table ID.ISLANDAREASIND2022.IA2200IND04.Survey/Program.Economic Census of Island Areas.Year.2022.Dataset.ECNIA Economic Census of Island Areas.Source.U.S. Census Bureau, 2022 Economic Census of Island Areas, Core Statistics.Release Date.2024-12-19.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.2022 Economic Census of Island Areas tables are released on a flow basis from June through December 2024.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe. The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in Puerto Rico, have paid employees, and are classified in one of eighteen in-scope sectors defined by the 2022 NAICS..Sponsor.U.S. Department of Commerce.Methodology.Data Items and Other Identifying Records.Number of establishmentsNumber of employeesAnnual payroll ($1,000)Construction workers average for yearTotal payroll for construction workers ($1,000)Other employees (paid employees for pay period including March 12) (number)Total payroll for other employees ($1,000)First-quarter payroll ($1,000)Employers cost for legally required fringe benefits ($1,000)Employers cost for voluntarily provided fringe benefits ($1,000)Range indicating imputed percentage of total employeesRange indicating imputed percentage of total annual payrollDefinitions 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 Economic Census of Island Areas are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed..Geography Coverage.The data are shown for employer establishments and firms that vary by industry:At the Territory and Municipio level for Puerto RicoFor information about economic census geographies, including changes for 2022, see Economic Census: Economic Geographies..Industry Coverage.The data are shown for Puerto Rico at the 2- through 4-digit 2022 NAICS code levels for the construction industry.For information about NAICS, see Economic Census Code Lists..Sampling.The Economic Census of Island Areas is a complete enumeration of establishments located in the islands (i.e., all establishments on the sampling frame are included in the sample). Therefore, the accuracy of tabulations is not affected by sampling error..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. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0044).The primary method of disclosure avoidance protection is noise infusion. Under this method, the quantitative data values such as sales or payroll for each establishment are perturbed prior to tabulation by applying a random noise multiplier (i.e., factor). Each establishment is assigned a single noise factor, which is applied to all its quantitative data value. Using this method, most published cell totals are perturbed by at most a few percentage points.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For more information on disclosure avoidance, see Methodology for the 2022 Economic Census- Island Areas..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, see Methodology for the 2022 Economic Census- Island Areas.For more information about survey questionnaires, Primary Business Activity/NAICS codes, and NAPCS codes, see Economic Census Technical Documentation..Weights.Because the Economic Census of Island Areas is a complete enumeration, there is no sample weighting..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00.API Information.Economic census 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 totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of ...

Experimental estimates for business openings and closures by employment size for Canada, provinces and territories, census metropolitan areas, seasonally adjusted (1, 2, 3)Frequency: MonthlyTable: 33-10-0722-01Release date: 2024-07-29Geography: Canada, Province or territory, Census metropolitan areaSymbol legend: .. not available for a specific reference period x suppressed to meet the confidentiality requirements of the Statistics Act E use with caution Footnotes: 1 Fluctuations in economic time series are caused by seasonal, cyclical and irregular movements. A seasonally adjusted series is one from which seasonal movements have been eliminated. 2 The statistical unit of measures used is the business establishment, which represents a unit of production, such as a factory, store, or head office. By comparison, an enterprise may have many establishments that might operate in different regions and industries. The business counts used for this table are based on establishments within firms to which payroll/employment can be associated in the Survey of Employment Payroll and Hours (SEPH). Establishment refers to the level in the statistical hierarchy of the Business Register at which the accounting data required to measure production are available (principal inputs, revenues, salaries and wages). The establishment is defined as the most homogeneous unit of production for which the business maintains accounting records. From these records, it is possible to assemble all the data elements required to compile the gross value of production (total sales or shipments, and inventories), the cost of materials and services, and labour and capital used in production. For more details, please see: Establishment (opens new window)."" 3 Estimates in this table may differ from those in table 33-10-0270-01 due to the adjustment for seasonality applied separately for each series. 4 Active businesses are those businesses that reported having one or more employees in a given month. 5 Opening businesses are businesses that transition from having no employees in the previous month to having at least one employee in the current month. These instances occur when a new, small firm begins, when a large firm opens a new establishment or when a seasonal firm re-opens. 6 Continuing businesses are businesses that have at least one employee in the previous month and at least one employee in the current month. 7 For closures and exits, employment size corresponds to the average number of employees over the twelve months preceding the closure or the exit. 8 Reopening businesses are defined as opening businesses that were also active in a previous month. 9 Entrants are businesses with employment in the current month that were not active in any previous month in the current or previous year. 10 A temporary business closure is the difference between closures and exits. 11 The definition of exits is based on the Longitudinal Employment Analysis Program (LEAP) annual exits. Because the LEAP definition can require up to 24 months of data to be counted as an exit, projections of exits using predicted growth rates are implemented using a regression model of exits on closures of more than 6 months. As a result, there are no published exits in the last six months.

This Product provides information on Census of Agriculture, Profile for Alberta, 1991-2011. Number of Rural and Urban Population; Total Census Farms, Farm Operators; Average Farm Size; Distribution of Farms by Size; Farms by Type Classified by Gross Farm Receipts; Use of Land; Farm Land Classified by Tenure; Acres of Land Management Practices; Soil Conservation Practices and Features as a % of Farms: Total Acres of Land in Crops; Greenhouse Area in Use; Number of Farms Reporting Certified Organic Production; Livestock and Poultry on Farm; Poultry Production; Number of Operating Arrangement of Farms; Value of Farm Capital ($) ; Gross Farm Receipts; Farms by Class of Gross Farm Receipts; Farm Operating Expenses; Use of a Computer for the Farm Business; Paid Agricultural Labour; (number of Employees and Weeks) etc.; and the Percent Change(%) of 2011 from Previous 2006 Census Year are included.

Key Table Information.Table Title.Island Areas: General Statistics by Manufacturing Industry for Puerto Rico, Metropolitan Areas, and Municipios: 2022.Table ID.ISLANDAREASIND2022.IA2200IND11.Survey/Program.Economic Census of Island Areas.Year.2022.Dataset.ECNIA Economic Census of Island Areas.Source.U.S. Census Bureau, 2022 Economic Census of Island Areas, Core Statistics.Release Date.2024-12-19.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.2022 Economic Census of Island Areas tables are released on a flow basis from June through December 2024.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe. The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in Puerto Rico, have paid employees, and are classified in one of eighteen in-scope sectors defined by the 2022 NAICS..Sponsor.U.S. Department of Commerce.Methodology.Data Items and Other Identifying Records.Number of establishmentsAnnual payroll ($1,000)First-quarter payroll ($1,000)Employers cost for legally required fringe benefits ($1,000)Employers cost for voluntarily provided fringe benefits ($1,000)Number of employeesNumber of production workers, average for yearProduction workers wages ($1,000)Other employees (paid employees for pay period including March 12) (number)Total payroll for other employees ($1,000)Value added ($1,000)Total cost of supplies and/or materials ($1,000)Total capital expenditures for buildings, structures, machinery, and equipment (new and used) ($1,000)Total rental payments or lease payments ($1,000)Sales, value of shipments, or revenue ($1,000)Range indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesRange indicating imputed percentage of total sales, value of shipments, or revenueDefinitions 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 Economic Census of Island Areas are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed..Geography Coverage.The data are shown for employer establishments and firms that vary by industry:At the Territory, Metropolitan and Micropolitan Statistical Area, Combined Statistical Area, and Municipio level for Puerto RicoFor information about economic census geographies, including changes for 2022, see Economic Census: Economic Geographies..Industry Coverage.The data are shown for Puerto Rico at the 2- through 5-digit 2022 NAICS code levels for the manufacturing industry.For information about NAICS, see Economic Census Code Lists..Sampling.The Economic Census of Island Areas is a complete enumeration of establishments located in the islands (i.e., all establishments on the sampling frame are included in the sample). Therefore, the accuracy of tabulations is not affected by sampling error..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. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0044).The primary method of disclosure avoidance protection is noise infusion. Under this method, the quantitative data values such as sales or payroll for each establishment are perturbed prior to tabulation by applying a random noise multiplier (i.e., factor). Each establishment is assigned a single noise factor, which is applied to all its quantitative data value. Using this method, most published cell totals are perturbed by at most a few percentage points.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For more information on disclosure avoidance, see Methodology for the 2022 Economic Census- Island Areas..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, see Methodology for the 2022 Economic Census- Island Areas.For more information about survey questionnaires, Primary Business Activity/NAICS codes, and NAPCS codes, see Economic Census Technical Documentation..Weights.Because the Economic Census of Island Areas is a complete enumeration, there is no sample weighting..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00.API Information.Economic census 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 totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the ...

The MCC Kosovo LFTUS is designed to answer nine research questions. The first five were identified in the RFQ, whereas the remaining four were added after MCC held additional stakeholder workshops in Pristina.

1. What is the true level of employment (formal and informal), underemployment or vulnerable employment, and unemployment, disaggregated by gender and district? How much time have the un- or under-employed spent looking for a job? Are they an entrepreneur?
2. Is there a relationship between field of study and having employment? How many people are employed in the field that they studied? Are there any correlations between certain fields of study or location and unemployment?
3. For people not looking for jobs, why are they not looking?
4. What are people doing with their time? Especially, what are women or the unemployed doing with their time? How much time is spent on child care and elder care? How much time is spent commuting?
5. How does receiving remittances and/or the ability to work abroad impact labor market decisions?
6. How do attitudes about women's place in family and society influence women's participation in the labor market?
7. How is women's engagement in productive activities (like starting a business) related to ownership and ability to control assets/access to credit?
8. Have discriminatory practices in hiring or while employed, or perceptions that there might be such practices, discouraged women from seeking jobs?
9. What are the factors that inhibit entrepreneurship, especially for women vs. men, and lead to the low levels of entrepreneurial activity for men and/or women?

The research team administered a nationally and regionally representative household survey to answer these nine questions. A stratified two-stage probability sampling plan was used, with primary sampling units as census enumeration areas and secondary sampling units as households. The survey was cross-sectional, with data collection occurring over a 16-week period between March and August of 2017.

An overview of findings is as follows:

With 41.1% of the working age population employed at the time of the survey, Kosovo compares poorly with other countries in the region as well as comparably-sized economies in the world. The economic situation, however, is worse than the aggregate statistic suggests. Almost half of Kosovo's population is economically inactive, one in five households receives a significant amount of its income from remittances, and the economy is largely dependent on the public sector, which supports one out of four jobs. Involuntary underemployment is endemic, with 78.9% of part-time workers reporting an inability to find full-time labor, and vulnerable employment (self-employed with no employees and unpaid family workers) accounting for nearly one third of total jobs. Furthermore, while rural and urban areas have broadly comparable employment rates at the national level, 27.8% of employed persons in rural areas reported being unpaid family workers. Lastly, Kosovo employment is largely characterized by low-quality jobs; 30.2% of jobs were in what the ILO labels elementary occupations, followed by services and sales workers (13.1%), with few technicians and associate professionals.

A high proportion of unemployed individuals, one-third, are characterized by long term unemployment (duration of unemployment being more than 12 months), with an average unemployment duration of 18.8 months. Overall, poor labor market conditions are most commonly reported as reasons for unemployment, though there is a strong gendered dynamic to this phenomenon. Entrepreneurship is limited (8.5% participation rate) and heavily dependent on personal resources and savings for start-up capital. Unsurprisingly, the biggest obstacle to business growth is identified as lack of financial means, which is evident from the fact that most business are started with personal resources.

Across all labor market metrics, female participation is much lower than that of males. Females are half as likely to be employed, twice as likely to be inactive, one fourth as likely to be entrepreneurs, 227% more likely to report being unpaid family workers, and, according to time use data, invest almost five more hours a day performing household and family care than men. Whether due to cultural or economic factors, females also wield much less decision-making power within the household. Males dominated decision-making power over household expenditures, were more likely to own every type of household asset, and were fourteen times more likely to be the sole decision maker for undertaking household debt. Although youth represent a valuable economic asset, with an employment rate of only 27.7%, their potential remains underutilized. This is particularly the case for young females, for whom only one in six is employed.

This Product provides information on Census of Agriculture, Profile for Alberta, 1991-2011. Number of Rural and Urban Population; Total Census Farms, Farm Operators; Average Farm Size; Distribution of Farms by Size; Farms by Type Classified by Gross Farm Receipts; Use of Land; Farm Land Classified by Tenure; Acres of Land Management Practices; Soil Conservation Practices and Features as a % of Farms: Total Acres of Land in Crops; Greenhouse Area in Use; Number of Farms Reporting Certified Organic Production; Livestock and Poultry on Farm; Poultry Production; Number of Operating Arrangement of Farms; Value of Farm Capital ($) ; Gross Farm Receipts; Farms by Class of Gross Farm Receipts; Farm Operating Expenses; Use of a Computer for the Farm Business; Paid Agricultural Labour; (number of Employees and Weeks) etc.; and the Percent Change(%) of 2011 from Previous 2006 Census Year are included.

Abstract

The Establishment Census 2011 was conducted as a joint undertaking by the Ministry of Public Service and Labour (MIFOTRA), Ministry of Trade and Industry (MINICOM), Private Sector Federation (PSF) and the National Institute of Statistics of Rwanda (NISR). The Census provides a comprehensive picture of Establishments in Rwanda, both formal and informal, for the first time. It will allow Government, private sector associations, researchers and others to base economic planning, policy design, analysis and beyond upon robust information leading to more effective results and findings. An establishment is defined as an enterprise or (part of) with a constant site that performs one or more economic activities under one administration. The holder of the establishment could be a natural or nominal person, or governmental body.

The 2011 Establishment Census is designed to achieve the following objectives: a) To produce a comprehensive and updated data profile of all economic activities practiced by establishments operating in Rwanda; b) To provide detailed tabulations for the establishments' characteristics, e.g. geographical location, number of employees, registration status, legal status, ownership, sector, manager/owner gender; c) To produce data necessary to classify establishments according to size into Micro, small, middle, large and very large; d) To lay out the data foundation needed to identify formal and informal economic sectors in Rwanda; e) To help establishing a Business Register that can be utilized in carrying out future economic sample surveys and creating comprehensive data base and Geographic Information System (GIS) of the business community in Rwanda.

Geographic coverage

National coverage

Analysis unit

Establishment

Universe

All Rwandan establishments from the nationally sampled area. An establishment is defined as an enterprise or (part of) with a constant site that performs one or more economic activities under one administration. The holder of the establishment could be a natural or nominal person, or governmental body. The definition of an establishment used in the 2011 Census does not include: a) Street Vendors b) Taxis and Motor drivers

Kind of data

Census/enumeration data [cen]

Sampling procedure

With the aim of avoiding omissions and/or duplications the enumerators followed a rigorous approach in enumerating all establishments in a village. A thorough and systematic canvassing of the whole village was performed by the enumerator before completing the Census questionnaires.

Step 1: In the first working day, the enumerator started with identification of the village boundaries and illustration of a sketch map showing these boundaries. This indicated whether one or two banks of a boundary are included in the village.

Step 2 (Boundaries): Boundaries are then allocated a number, with the first being selected in such a way that the whole village is located on the right hand side (B1 on the Illustrative Diagram of village canvassing). Whilst walking along this boundary, the enumerator lists the establishments along the right bank by entering their serial numbers on the sketch map and on the wall right to the entrance as well as in the Establishment Listing Form of serial numbers, establishment names and establishment addresses. If both banks of the boundary lied in the village, the enumerator returned back on the boundary to count the establishments existing on the other bank of the boundary.

Step 3 (Roads): Once establishments along the boundary are listed, the enumerator enters the first road inside the village from the boundary, counting all establishments on the right bank of this boundary followed by the establishments on the left bank (R1 on the Illustrative Diagram). After counting, listing and locating on the sketch map each of the establishments on the road (R1), the enumerator enters the first branch on the right hand side (R2) following the same process, and then carries the same out for all other branches. When all roads and branches associated with the boundary (B1) are finished, the enumerator continues the process from the next boundary (B2). However attention is paid to the possibility that some of the establishments may have already been counted (for example R3 has already been counted as an associated branch of R1). In the case of a market place that include several establishments, the enumerator need not to locate on the sketch map each and every establishment present in the market, instead writing a range of serial numbers and filling in the listing form for each establishment.

Sampling deviation

In total, the Establishment Census 2011 enumerated 127,662 establishments. Despite 127,662 establishments being recorded, the majority of the results presented within this report focus on a slightly reduced sample of 123,526 operating establishments (most of the others were permanently closed).

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was developed according to the objectives specified in Chapter 1 in English, and then translated into Kinyarwanda. In order to minimise potential problems arising in the field, several tests were performed. Feedback was provided by trainees in the central training centre in Kigali, which was then followed by a formal pre-test (see below). After this, revisions were incorporated into the survey with additional feedback being given by trainees at the local training centres around the country. The final version of the questionnaire was developed in Kinyarwanda and translated back into English

Cleaning operations

Data editing was continuously performed during and after the data entry phase in order to detect out-of-range and/or inconsistent data values. Appropriate actions were taken to introduce necessary corrections or deal with incorrect data. In many cases follow up contacts with the establishments were made in order to verify previously reported data. Upon producing the clean data file, statistical tabulations have been generated and are subsequent chapters present these census tabulations.