The Office of Advocacy’s Small Business Profiles are an annual analysis of each state’s small business activities. Each profile gathers the latest information from key federal data-gathering agencies to provide a snapshot of small business health and economic activity. This year’s profiles report on state economic growth and employment; small business employment, industry composition, and turnover; plus business owner demographics and county-level employment change.

This data set provides statistics about employer and nonemployer businesses from 2021 for the nation, states, counties, and metropolitan statistical areas (MSA). It includes the number of firms, revenue, number of employees, and annual payroll, broken down by industry and owner demographics including as sex, ethnicity, race, and veteran status.About NES-DThe Nonemployer Statistics by Demographics series (NES-D) provides information on the demographic characteristics of nonemployer businesses. The NES-D is the result of a research project by the Census Bureau to complete the picture of U.S. business ownership by demographics for the United States. Historically, the quinquennial Survey of Business Owners (SBO) provided the only comprehensive source of information on both employer and nonemployer businesses by demographic characteristics of the business owners. In 2017, the SBO was replaced by the Annual Business Survey (ABS). The ABS is an annual survey that collects demographic characteristics from employer businesses. However, the ABS excludes the collection of demographic data from nonemployer businesses. The NES-D was developed to produce similar estimates as ABS on owner demographics for nonemployer businesses. The NES-D is not a survey; rather, it leverages existing individual-level administrative records to assign demographic characteristics to the universe of nonemployer businesses. Demographic characteristics including sex, ethnicity, race, veteran status, owner age, place of birth, and U.S. citizenship are assigned to nonemployer business owners.Together, the NES-D and the ABS will continue to provide the only source of detailed and comprehensive statistics on the scope, nature and activities of all U.S. businesses by the demographic characteristics of the business owners. NES-D data will be available annually by detailed geography and industry levels, receipt-size class, and legal form of organization (LFO). Beginning with the 2019 NES-D, the data will include urban and rural classification.

This data set provides statistics about employer and nonemployer businesses from 2020 for the nation, states, and metropolitan statistical areas (MSA). It includes the number of firms, revenue, number of employees, and annual payroll, broken down by industry and owner demographics including as sex, ethnicity, race, and veteran status.About NES-DThe Nonemployer Statistics by Demographics series (NES-D) provides information on the demographic characteristics of nonemployer businesses. The NES-D is the result of a research project by the Census Bureau to complete the picture of U.S. business ownership by demographics for the United States. Historically, the quinquennial Survey of Business Owners (SBO) provided the only comprehensive source of information on both employer and nonemployer businesses by demographic characteristics of the business owners. In 2017, the SBO was replaced by the Annual Business Survey (ABS). The ABS is an annual survey that collects demographic characteristics from employer businesses. However, the ABS excludes the collection of demographic data from nonemployer businesses. The NES-D was developed to produce similar estimates as ABS on owner demographics for nonemployer businesses. The NES-D is not a survey; rather, it leverages existing individual-level administrative records to assign demographic characteristics to the universe of nonemployer businesses. Demographic characteristics including sex, ethnicity, race, veteran status, owner age, place of birth, and U.S. citizenship are assigned to nonemployer business owners.Together, the NES-D and the ABS will continue to provide the only source of detailed and comprehensive statistics on the scope, nature and activities of all U.S. businesses by the demographic characteristics of the business owners. NES-D data will be available annually by detailed geography and industry levels, receipt-size class, and legal form of organization (LFO). Beginning with the 2019 NES-D, the data will include urban and rural classification.

This statistic ranks the likelihood of selected digital and online activities among small business owners in the United States as of October 2017. During the survey period, 23 percent of respondents stated that they were very likely to increase their online presence through online marketing and social media sites.

This statistic shows the results of a survey in which U.S. consumers were asked how often they visit or support small businesses. According to the survey, ** percent of respondents shop at small businesses between *** and **** times per month.

“We cannot measure what we cannot count.” NWBC entered into an Interagency Agreement with the U.S. Census Bureau to fund the development of custom tabulations on women-owned employer and nonemployer firms. The unique custom tabulations, which utilize data from both the Annual Business Survey (ABS) and the Nonemployer Statistics by Demographics (NES-D), are featured here as raw data to serve primarily as a resource for researchers and practitioners. To learn more about the ABS and NES-D, we encourage you to visit the U.S. Census Bureau’s website at: https://www.census.gov/. Sources: Annual Business Survey--https://www.census.gov/programs-surveys/abs.html Annual Nonemployer Demographics Statistics--https://www.census.gov/programs-surveys/abs/data/nesd.html

This statistic shows U.S. small business owners' responses to a survey question asked from 2010 to 2017, about plans for hiring new staff members. In 2013, around 16 percent of respondents reported that they were planning to take on new staff members in the next 12 months. By 2017, this figure had increased to 25 percent.

Increase the small business ownership rate from 1.48% in 2011 to 1.53% by 2017.

In 2024, Poland recorded approximately **** million small and medium-sized enterprises, of which large-companies amounted to approximately *****.

Abstract

The SESE aims to provide information about the characteristics of businesses in the informal sector in South Africa and provides an understanding of their operation and access to services. The criterion for inclusion in SESE depends on whether the business is registered for value added tax (VAT). Only persons who had businesses that are not registered for VAT were included. These businesses are generally excluded from the Business Frame used by Stats SA during surveys to assess the formal economy.

The main objectives of SESE are: - To determine the contribution made by businesses not registered for VAT towards economic growth. - To collect reliable data about people running businesses not registered for VAT.

Geographic coverage

National coverage

Analysis unit

Businesses and individuals

Universe

The survey covered individuals with non-VAT registered businesses in South Africa, most of which are in the informal sector. The 2001 and 2005 datasets only covered individuals aged 15-64 years, while in 2009, 2013 and 2017 all persons aged 15 years and older were included. For comparability, the analysis is based only on those aged 15-64 years.

Kind of data

Sample survey data [ssd]

Sampling procedure

Currently, there is no sampling frame on which to base weights and raising factors for unregistered businesses in South Africa. As a result, SESE is a household-based survey, consisting of two phases. The first phase involves identifying individuals who are running businesses based on the Quarterly Labour Force Survey (QLFS) conducted in the third quarter of each year (July-September). The second phase involves a follow-up interview with the owners of these businesses to determine the nature of their businesses.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire covered background data on the small business (from questions 4 to 16 of the questionnaire) , its site of operation (questions 17 to 25), its business management, operations and finances (questions 26 to 43). Data is also collected on business expenditure and turnover (questions 44 to 52), people employed and labour costs (questions 53 to 60), expenditure on fuels, materials and services (question 61), business capital (questions 62 to 67) and transport (questions 68 to 70).

Data appraisal

SESE 2009 estimates that were previously published have been revised based on new population benchmarks from the 2011 Population Census. The 2005 SESE estimates have not been adjusted to reflect the new population benchmarks. The adjustment process in this regard is more complex since it involves the computation of new link factors to align the historical LFS series (2000 to 2007) to the QLFS series. Caution is therefore advised when interpreting trends based on the absolute numbers, which include the 2005 results. SESE trends based on proportions are more reliable. For this reason, the analysis in this report relies exclusively on trends of various proportions.

Uzbekistan Small Business & Private Entrepreneurship: as %: Export data was reported at 27.200 % in 2017. This records an increase from the previous number of 26.000 % for 2016. Uzbekistan Small Business & Private Entrepreneurship: as %: Export data is updated yearly, averaging 13.850 % from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 27.200 % in 2017 and a record low of 6.000 % in 2005. Uzbekistan Small Business & Private Entrepreneurship: as %: Export data remains active status in CEIC and is reported by State Committee of the Republic of Uzbekistan on Statistics. The data is categorized under Global Database’s Uzbekistan – Table UZ.O005: Small Business and Private Entrepreneurship.

The statistic shows the leading financial service providers for small businesses and retail consumers in the United States as of 2017. Major banks were the preferred choice for financial services for both small business and retail consumers in 2017 with ** percent and ** percent respectively.

Uzbekistan Small Business & Private Entrepreneurship: as %: Import data was reported at 50.200 % in 2017. This records an increase from the previous number of 46.800 % for 2016. Uzbekistan Small Business & Private Entrepreneurship: as %: Import data is updated yearly, averaging 35.000 % from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 50.200 % in 2017 and a record low of 24.900 % in 2002. Uzbekistan Small Business & Private Entrepreneurship: as %: Import data remains active status in CEIC and is reported by State Committee of the Republic of Uzbekistan on Statistics. The data is categorized under Global Database’s Uzbekistan – Table UZ.O005: Small Business and Private Entrepreneurship.

Uzbekistan Small Business & Private Entrepreneurship: as %: GDP data was reported at 54.900 % in 2017. This records a decrease from the previous number of 57.300 % for 2016. Uzbekistan Small Business & Private Entrepreneurship: as %: GDP data is updated yearly, averaging 49.150 % from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 57.300 % in 2016 and a record low of 31.000 % in 2000. Uzbekistan Small Business & Private Entrepreneurship: as %: GDP data remains active status in CEIC and is reported by State Committee of the Republic of Uzbekistan on Statistics. The data is categorized under Global Database’s Uzbekistan – Table UZ.O005: Small Business and Private Entrepreneurship.

Abstract

The documentation covers Enterprise Survey panel datasets that were collected in Uruguay in 2006, 2010 and 2017. The Enterprise Survey is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of business environment topics including access to finance, corruption, infrastructure, crime, competition, and performance measures. The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector.

As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both objective data based on firms' experiences and enterprises' perception of the environment in which they operate.

Geographic coverage

National coverage

Analysis unit

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

Universe

The 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

The samples for 2006, 2010 and 2017 Uruguay Enterprise Surveys were selected using stratified random sampling, following the methodology explained in the Sampling Note.

Three levels of stratification were used in Honduras ES: industry, establishment size, and region.

In 2006 ES, industry stratification was designed in the following way: In small economies the population was stratified into 3 manufacturing industries, one services industry - retail-, and one residual sector as defined in the sampling manual. Each industry had a target of 120 interviews.

In 2010 ES, industry stratification was designed in the way that follows: the universe was stratified into 3 manufacturing industries, 1 service industry -retail -, and 1 residual sector as defined in the sampling manual. All sectors had a target of 120 interviews. Regional stratification was defined in two regions (city and the surrounding business area): Montevideo and Canelones.

In 2017 ES, industry stratification was designed as follows: the universe was stratified into Manufacturing industries (ISIC Rev. 3.1 codes 15-37), Retail industries (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72). For the Uruguay ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees). Regional stratification was done across two regions: Montevideo and Canelones.

Mode of data collection

Face-to-face [f2f]

Research instrument

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

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

Abstract

The Survey of Employers and the Self-employed (SESE) is an enterprise-based survey that collects data on micro- and small businesses in South Africa. The survey covers information about the characteristics of businesses in the informal sector to gain an understanding of their operation and access to services. The focus of the survey is businesses who are not registered for Value Added Tax (VAT). These small and micro-businesses are generally excluded from the business frame which is used in surveys of the formal economy conducted by Statistics South Africa (StatsSA).

StatsSA collects SESE information from the third quarter of the Quarterly Labour Force Survey (QLFS) every four years. The information is gathered from household respondents that identify as being self-employed. Prior to 2009, the SESE collected household information from the Labour Force Survey (LFS). The first survey in the series (SESE 2001) collected information from the March 2001 LFS. The second survey in the series (SESE 2005) collected information from the September 2005 LFS. The third survey in the series (SESE 2009) collected information from the third quarter 2009 QLFS. The fourth survey in the series (SESE 2013) collected information from the third quarter 2013 QLFS. This is the fifth survey in the series (SESE 2017), which collects information from the third quarter 2017 QLFS.

The main objectives of SESE are to collect reliable data about people running businesses which are not registered for VAT, identify the non-income tax paying and income tax paying businesses within the non-VAT paying businesses and produce comprehensive statistical information about informal sector businesses, at national and provincial levels. Therefore, SESE data enables research in gauging the contribution made by businesses which are not registered for VAT towards economic growth in South Africa.

Geographic coverage

The survey has national coverage.

Analysis unit

Individuals and establishments

Universe

The survey covered non-VAT registered businesses in the South African informal sector.

Kind of data

Sample survey data

Sampling procedure

Currently, there is no sampling frame on which to base weights and raising factors for unregistered businesses in South Africa. Therefore, SESE is based on a household survey, consisting of two stages. The first stage involved identifying individuals who are running businesses based on the Quarterly Labour Force Survey (QLFS). The second stage involved a follow-up, when the owners of these businesses were interviewed, to determine the nature of their businesses. For each SESE survey, the criterion for inclusion depends on whether or not the business is registered for Value Added Tax (VAT). Only persons who had businesses which were not registered for VAT were included. This methodology was used from 2009 to 2017.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire covered background data on the small business (from questions 4 to 16 of the questionnaire) , its site of operation (questions 17 to 25), its business management, operations and finances (questions 26 to 43). Data is also collected on business expenditure and turnover (questions 44 to 52), people employed and labour costs (questions 53 to 60), expenditure on fuels, materials and services (question 61), business capital (questions 62 to 67) and transport (questions 68 to 70).

Data appraisal

In 2001, SESE was conducted in March and the SESE interview was undertaken immediately after the LFS interview while the enumerator was still at the dwelling unit. In 2009, 2013 and 2017, data collection for the QLFS occurred during the middle two weeks of the month throughout the quarter, while SESE data collection was undertaken in the last week of the month, also throughout the quarter. In 2005, data collection occurred in September over a two-week period while in 2001 information was collected from respondents in March. Because of these changes in the methodology, comparisons should be interpreted with caution.

The 2001 and 2005 SESE estimates have been revised, using the revised LFS estimates. The LFS estimates were revised after the introduction of the QLFS. The 2001 and 2005 datasets only covered those aged 15-64 years, while in 2009, 2013 and 2017, all persons aged 15 years and above were included.

The 2009 SESE estimates have been revised by StatsSA based on new population benchmarks from the 2011 Population Census. However, the 2005 SESE estimates have not yet been adjusted to reflect the new population benchmarks. The adjustment process in this regard is more complex since it involves the computation of new link factors to align the historical LFS series (2000 to 2007) to the QLFS series. Caution is therefore required when interpreting trends based on the absolute numbers which include the 2005 results.