Professional organizations in STEM (science, technology, engineering, and mathematics) can use demographic data to quantify recruitment and retention (R&R) of underrepresented groups within their memberships. However, variation in the types of demographic data collected can influence the targeting and perceived impacts of R&R efforts - e.g., giving false signals of R&R for some groups. We obtained demographic surveys from 73 U.S.-affiliated STEM organizations, collectively representing 712,000 members and conference-attendees. We found large differences in the demographic categories surveyed (e.g., disability status, sexual orientation) and the available response options. These discrepancies indicate a lack of consensus regarding the demographic groups that should be recognized and, for groups that are omitted from surveys, an inability of organizations to prioritize and evaluate R&R initiatives. Aligning inclusive demographic surveys across organizations will provide baseline data that can be used to target and evaluate R&R initiatives to better serve underrepresented groups throughout STEM. Methods We surveyed 164 STEM organizations (73 responses, rate = 44.5%) between December 2020 and July 2021 with the goal of understanding what demographic data each organization collects from its constituents (i.e., members and conference-attendees) and how the data are used. Organizations were sourced from a list of professional societies affiliated with the American Association for the Advancement of Science, AAAS, (n = 156) or from social media (n = 8). The survey was sent to the elected leadership and management firms for each organization, and follow-up reminders were sent after one month. The responding organizations represented a wide range of fields: 31 life science organizations (157,000 constituents), 5 mathematics organizations (93,000 constituents), 16 physical science organizations (207,000 constituents), 7 technology organizations (124,000 constituents), and 14 multi-disciplinary organizations spanning multiple branches of STEM (131,000 constituents). A list of the responding organizations is available in the Supplementary Materials. Based on the AAAS-affiliated recruitment of the organizations and the similar distribution of constituencies across STEM fields, we conclude that the responding organizations are a representative cross-section of the most prominent STEM organizations in the U.S. Each organization was asked about the demographic information they collect from their constituents, the response rates to their surveys, and how the data were used. Survey description The following questions are written as presented to the participating organizations. Question 1: What is the name of your STEM organization? Question 2: Does your organization collect demographic data from your membership and/or meeting attendees? Question 3: When was your organization’s most recent demographic survey (approximate year)? Question 4: We would like to know the categories of demographic information collected by your organization. You may answer this question by either uploading a blank copy of your organization’s survey (linked provided in online version of this survey) OR by completing a short series of questions. Question 5: On the most recent demographic survey or questionnaire, what categories of information were collected? (Please select all that apply)

Disability status Gender identity (e.g., male, female, non-binary) Marital/Family status Racial and ethnic group Religion Sex Sexual orientation Veteran status Other (please provide)

Question 6: For each of the categories selected in Question 5, what options were provided for survey participants to select? Question 7: Did the most recent demographic survey provide a statement about data privacy and confidentiality? If yes, please provide the statement. Question 8: Did the most recent demographic survey provide a statement about intended data use? If yes, please provide the statement. Question 9: Who maintains the demographic data collected by your organization? (e.g., contracted third party, organization executives) Question 10: How has your organization used members’ demographic data in the last five years? Examples: monitoring temporal changes in demographic diversity, publishing diversity data products, planning conferences, contributing to third-party researchers. Question 11: What is the size of your organization (number of members or number of attendees at recent meetings)? Question 12: What was the response rate (%) for your organization’s most recent demographic survey? *Organizations were also able to upload a copy of their demographics survey instead of responding to Questions 5-8. If so, the uploaded survey was used (by the study authors) to evaluate Questions 5-8.

Premium B2C Consumer Database - 269+ Million US Records

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Contact our team to discuss your specific ta...

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.

A global database of Census Data that provides an understanding of population distribution at administrative and zip code levels over 55 years, past, present, and future.

Leverage up-to-date census data with population trends for real estate, market research, audience targeting, and sales territory mapping.

Self-hosted commercial demographic dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The global Census Data is standardized, unified, and ready to use.

Use cases for the Global Census Database (Consumer Demographic Data)

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Census data export methodology

Our consumer demographic data packages are offered in CSV format. All Demographic data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Product Features

• Historical population data (55 years)

• Changes in population density

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• Updated yearly

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• Self-hosted delivery

• Fully aggregated (ready to use)

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Why do companies choose our demographic databases

• Standardized and unified demographic data structure

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Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

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.

The Report Covers Global Population Health Management Solutions Market Growth and is Segmented by Component (Software, Services, and Hardware), Solution Type (Population Health Analytics, Patient Engagement Solutions, and More), Delivery Mode (On-Premise, Cloud-Based / Web-Based, and Hybrid), End User (Healthcare Providers, and Payers), and Geography

This dataset contains household level transactions over two years from a group of 2,500 households who are frequent shoppers at a retailer. It contains all of each household’s purchases, not just those from a limited number of categories. For certain households, demographic information as well as direct marketing contact history are included.

Due to the number of tables and the overall complexity of The Complete Journey, it is suggested that this database be used in more advanced classroom settings. Further, The Complete Journey would be ideal for academic research as it should enable one to study the effects of direct marketing to customers.

The following are examples of questions that could be submitted to students or considered for academic research:  - How many customers are spending more over time? Less over time? Describe these customers.  - Of those customers who are spending more over time, which categories are growing at a faster rate?  - Of those customers who are spending less over time, with which categories are they becoming less engaged?  - Which demographic factors (e.g. household size, presence of children, income) appear to affect customer spend? -Engagement with certain categories?  - Is there evidence to suggest that direct marketing improves overall engagement?

London Business Demography Report Aston University have carried out research into London’s business demographics to support the development of the London Enterprise Panel’s Jobs and Growth plan. This research was funded by the London Enterprise Panel and European Social Fund and is now available to users of the London Datastore. A spread sheet containing the data used to make the charts within the report is also available. https://londondatastore-upload.s3.amazonaws.com/business-dem-chart.png" alt="">

Release Date: 2024-02-08.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (2020 NES-D Project No. 7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0051)...Key Table Information:.Includes owner-level data for U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series)...Data Items and Other Identifying Records:.Data include estimates on:.Number of owners of nonemployer firms. Percent of number of owners of nonemployer firms (%)...These data are aggregated at the owner level by the following demographic classifications:.All owners of nonemployer firms. Sex. Female. Male. . . Ethnicity. Hispanic. Non-Hispanic. . . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Nonminority (Firms classified as non-Hispanic and White). . . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Nonveteran. . . ...Data Notes:.. Data are tabulated at the owner level.. An owner can be tabulated in more than one race group.. An owner cannot be tabulated with two mutually exclusive demographic classifications (e.g., both as a veteran and a nonveteran).. An individual can own more than one firm....Owner Characteristics:.Using administrative records, owner characteristics were assigned for the following categories:. Place of Birth (USBORN). Owner was born in the U.S.. Owner was born outside the U.S.. . U.S. Citizenship (USCITIZEN). Owner is a citizen of the U.S.. Owner is not a citizen of the U.S.. . Owner Age (OWNRAGE). Under 25. 25 to 34. 35 to 44. 45 to 54. 55 to 64. 65 or over. . . .Question Description codes for the topics are in parenthesis. ..Industry and Geography Coverage:.The data are shown for the total for all sectors (00) NAICS code level for:..United States. States and the District of Columbia. Metropolitan Statistical Areas...The data are also shown for the 2-, 3-, and 4-digit NAICS code level for the United States only...Data are excluded for the following NAICS industries:.Crop and Animal Production (NAICS 111 and 112). Rail Transportation (NAICS 482). Postal Service (NAICS 491). Monetary Authorities-Central Bank (NAICS 521). Funds, Trusts, and Other Financial Vehicles (NAICS 525). Management of Companies and Enterprises (NAICS 55). Private Households (NAICS 814). Public Administration (NAICS 92). Industries Not Classified (NAICS 99)...For more information about NAICS, see NAICS Codes & Understanding Industry Classification Systems. For information about geographies used by economic programs at the Census Bureau, see Economic Census: Economic Geographies...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/abs/data/2020/AB2000NESD04.zip...API Information:.Nonemployer Demographic Statistics data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2020/absnesdo.html...Symbols:. D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals. 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.. N - Not available or not comparable. X - Not applicable.For a complete list of all economic programs symbols, see the Symbols Glossary...Source:.U.S. Census Bureau, Nonemployer Statistics by Demographics, Annual Business Survey Program.For more information about the survey, please visit https://www.census.gov/programs-surveys/abs.html...Contact Information:.To contact the Annual Business Survey Program staff:.Email general, nonsecure, and unencrypted messages to adep.annual.business.survey@census.gov.. Call 301.763.3316 between 7 a.m. and 5 p.m. (EST), Monday through Friday...

The terms of reference document explains the purpose of the Business Population and Demographics Statistics (BPDS) user group. In this forum users and statistics producers in BEIS and ONS meet to share information and discuss relevant issues. The user group helps to ensure compliance with the principle ‘V1 Relevance to users’, as listed in the Code of Practice for Statistics.

Further information

If you have any questions about the BPDS user group, please email business.statistics@beis.gov.uk

http://webarchive.nationalarchives.gov.uk/20150605232409/https://www.gov.uk/government/statistics/user-engagement-and-the-business-population-estimates">Minutes from earlier meetings of the BPDS group in the national archive are also available.

This table includes information on business demography according to the European standard. Figures in this table are also submitted in this form to Eurostat. Information concerns the population of active enterprises, enterprise births and deaths, and the 1, 2, 3, 4 and 5 year survivors after birth, broken down by size class based on number of employees and by the National Classification of Economic Activity 2008 (NCEA 2008, based on NACE Rev 2.0). Data also includes persons employed and employees in active enterprises, births and deaths, as well as persons employed for surviving births at the start and end of the survival period.

Data available from: 2010

Status of the figures: The figures in this table are final for 2010 through 2022. The figures for 2023 are provisional. Only the data on Dissolved companies for 2023 will be adjusted.

Changes as of September 4, 2025: The provisional figures for 2023 have been added, and the figures for 2022 have been adjusted and finalized.

When will new figures be released? Figures on a new reporting year (T – 2) will be published in July of the current year T.

Business demography contains information about the characteristics and demography of the business population. The category presents main variables, such as enterprise births (often referred to as business entries), enterprise deaths (often referred to as business exits), and enterprise survivals. Enterprises created or closed solely as a result of e.g. restructuring, merger or break-up are not included in this data. Information refers to the business economy, covering sections B to N (excluding activities of holding companies – K64.2) according to NACE Rev. 2.

Success.ai’s Commercial Real Estate Data and B2B Contact Data for Global Real Estate Professionals is a comprehensive dataset designed to connect businesses with industry leaders in real estate worldwide. With over 170M verified profiles, including work emails and direct phone numbers, this solution ensures precise outreach to agents, brokers, property developers, and key decision-makers in the real estate sector.

Utilizing advanced AI-driven validation, our data is continuously updated to maintain 99% accuracy, offering actionable insights that empower targeted marketing, streamlined sales strategies, and efficient recruitment efforts. Whether you’re engaging with top real estate executives or sourcing local property experts, Success.ai provides reliable and compliant data tailored to your needs.

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Success.ai’s B2B Contact Data for Global Real Estate Professionals delivers the tools you need to connect with the right people at the right time, driving efficiency and success in your business operations. From agents and brokers to property developers and executiv...

Directory of Economic Activities
The Directory of Economic Activities operation (DIRAE) collects information from all the establishments that carry out Economic activities in the Basque Country; provides basic structural information on the sectors of economic activity and serves as a framework of reference for the implementation of sector censuses and surveys; it also allows the analysis of the population employed in the establishments of the community. At present it does not include the activities of the households that employ domestic staff and extraterritorial bodies.

The Statistics regarding company start-ups and closures
The Statistics regarding company start-ups and closures seeks to quantify the number of companies and establishments that are created and closed over time, according to the different economic sectors, territorial spheres and other characteristics of those units, and the legal entity or its size. This demographics information is directly obtained from the Directory of Economic Activities and also provides the start-up and closure rates over time.

Abstract

This research was conducted in Georgia from June 19 to July 31, 2002, as part of the second round of the Business Environment and Enterprise Performance Survey. 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 face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The survey topics include company's characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement, security, government policies and regulations, bribery, sources of financing, overall business environment, performance and investment activities, and workforce composition.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment.

Universe

The manufacturing and services sectors are the primary business sectors of interest.

Kind of data

Sample survey data [ssd]

Sampling procedure

The information below is taken from "The Business Environment and Enterprise Performance Survey - 2002. A brief report on observations, experiences and methodology from the survey" prepared by MEMRB Custom Research Worldwide (now part of Synovate), a research company that implemented BEEPS II instrument.

The general targeted distributional criteria of the sample in BEEPS II countries were to be as follows:

1) Coverage of countries: The BEEPS II instrument was to be administered to approximately 6,500 enterprises in 28 transition economies: 16 from CEE (Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, FR Yugoslavia, FYROM, Hungary, Latvia, Lithuania, Poland, Romania, Slovak Republic, Slovenia and Turkey) and 12 from the CIS (Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russia, Tajikistan, Turkmenistan, Ukraine and Uzbekistan).

2) In each country, the sector composition of the total sample in terms of manufacturing versus services (including commerce) was to be determined by the relative contribution of GDP, subject to a 15% minimum for each category. Firms that operated in sectors subject to government price regulations and prudential supervision, such as banking, electric power, rail transport, and water and wastewater were excluded.

Eligible enterprise activities were as follows (ISIC sections): - Mining and quarrying (Section C: 10-14), Construction (Section F: 45), Manufacturing (Section D: 15-37) - Transportation, storage and communications (Section I: 60-64), Wholesale, retail, repairs (Section G: 50-52), Real estate, business services (Section K: 70-74), Hotels and restaurants (Section H: 55), Other community, social and personal activities (Section O: selected groups).

3) Size: At least 10% of the sample was to be in the small and 10% in the large size categories. A small firm was defined as an establishment with 2-49 employees, medium - with 50-249 workers, and large - with 250 - 9,999 employees. Companies with only one employee or more than 10,000 employees were excluded.

4) Ownership: At least 10% of the firms were to have foreign control (more than 50% shareholding) and 10% of companies - state control.

5) Exporters: At least 10% of the firms were to be exporters. A firm should be regarded as an exporter if it exported 20% or more of its total sales.

6) Location: At least 10% of firms were to be in the category "small city/countryside" (population under 50,000).

7) Year of establishment: Enterprises which were established later than 2000 should be excluded.

The sample structure for BEEPS II was designed to be as representative (self-weighted) as possible to the population of firms within the industry and service sectors subject to the various minimum quotas for the total sample. This approach ensured that there was sufficient weight in the tails of the distribution of firms by the various relevant controlled parameters (sector, size, location and ownership).

As pertinent data on the actual population or data which would have allowed the estimation of the population of foreign-owned and exporting enterprises were not available, it was not feasible to build these two parameters into the design of the sample guidelines from the onset. The primary parameters used for the design of the sample were: - Total population of enterprises; - Ownership: private and state; - Size of enterprise: Small, medium and large; - Geographic location: Capital, over 1 million, 1 million-250,000, 250-50,000 and under 50,000; - Sub-sectors (e.g. mining, construction, wholesale, etc).

For certain parameters where statistical information was not available, enterprise populations and distributions were estimated from other accessible demographic (e.g. human population concentrations in rural and urban areas) and socio-economic (e.g. employment levels) data.

Sampling deviation

The survey was discontinued in Turkmenistan due to concerns about Turkmen government interference with implementation of the study.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Screener and Main Questionnaires.

The survey topics include company's characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement, security, government policies and regulations, bribery, sources of financing, overall business environment, performance and investment activities, and workforce composition.

Cleaning operations

Data entry and first checking and validation of the results were undertaken locally. Final checking and validation of the results were made at MEMRB Custom Research Worldwide headquarters.

Response rate

Overall, in all BEEPS II countries, the implementing agency contacted 18,052 enterprises and achieved an interview completion rate of 36.93%.

Respondents who either refused outright (i.e. not interested) or were unavailable to be interviewed (i.e. on holiday, etc) accounted for 38.34% of all contacts. Enterprises which were contacted but were non-eligible (i.e. business activity, year of establishment, etc) or quotas were already met (i.e. size, ownership etc) or to which “blind calls” were made to meet quotas (i.e. foreign ownership, exporters, etc) accounted for 24.73% of the total number of enterprises contacted.

AI-Driven Clinical Trial Diversity Analytics Market Outlook

According to our latest research, the global AI-Driven Clinical Trial Diversity Analytics market size in 2024 stands at USD 1.12 billion, reflecting a robust surge in demand for AI-powered solutions in clinical research. The market is projected to reach USD 4.89 billion by 2033, growing at a compelling CAGR of 17.8% from 2025 to 2033. This growth trajectory is primarily driven by the increasing emphasis on equitable representation in clinical trials and the adoption of advanced analytics to address diversity gaps, as per our comprehensive industry analysis.

The primary growth factor fueling the AI-Driven Clinical Trial Diversity Analytics market is the mounting regulatory and societal pressure to ensure diverse and inclusive clinical trial populations. Regulatory agencies such as the FDA and EMA have introduced stringent guidelines that mandate the inclusion of underrepresented populations in clinical research. This has compelled pharmaceutical companies, contract research organizations, and healthcare institutions to adopt AI-driven analytics for real-time monitoring and enhancement of participant diversity. These advanced solutions enable identification of disparity patterns, prediction of recruitment bottlenecks, and formulation of targeted outreach strategies, thereby improving both trial outcomes and regulatory compliance.

Another significant driver is the escalating complexity and globalization of clinical trials, which often span multiple geographies and demographic segments. Traditional methods of data analysis and recruitment are ill-equipped to manage the volume, velocity, and variety of data generated in such trials. AI-driven platforms, leveraging machine learning and natural language processing, offer actionable insights by integrating data from electronic health records, social determinants of health, and historical trial performance. This capability not only streamlines the recruitment of diverse cohorts but also enhances site selection and patient retention, resulting in more representative and statistically robust clinical outcomes.

Technological advancements in AI and big data analytics are further accelerating market expansion. The integration of cloud computing, real-time dashboards, and predictive analytics empowers stakeholders to monitor diversity metrics continuously and intervene proactively when disparities arise. These innovations also facilitate compliance monitoring, automate reporting for regulatory submissions, and optimize resource allocation. As a result, the adoption of AI-driven diversity analytics is rapidly becoming a standard practice among leading pharmaceutical companies and research organizations, reinforcing the market’s upward trajectory.

From a regional perspective, North America currently leads the AI-Driven Clinical Trial Diversity Analytics market, accounting for over 42% of global revenue in 2024. This dominance is attributed to the presence of major pharmaceutical companies, progressive regulatory frameworks, and a mature digital health ecosystem. Europe follows closely, with increasing investments in clinical trial modernization and diversity initiatives. Meanwhile, the Asia Pacific region is emerging as a significant growth hub, driven by expanding clinical research infrastructure and rising awareness of trial inclusivity. Latin America and the Middle East & Africa are also witnessing gradual adoption, supported by international collaborations and capacity-building efforts.

Component Analysis

The Component segment of the AI-Driven Clinical Trial Diversity Analytics market is bifurcated into Software and Services. Software solutions form the backbone of this market, encompassing AI-powered platforms for data integration, diversity analytics, and visualization. These platforms are designed to ingest data from disparate sources, normalize and standardize demographic information, and provide actionable insights through interactive dashboards. The software segment is witnessing rapid innovation, with vendors introducing features such as real-time alerts, automated compliance tracking, and customizable reporting modules. This technological evolution is helping research sponsors meet regulatory requirements and achieve diversity targets more efficiently.

Services, on the other

This table includes information on business demography according to the European standard. Figures in this table are also submitted in this form to Eurostat. Information concerns the population of active enterprises, enterprise births and deaths, broken down by legal form and by the National Classification of Economic Activity 2008 (NCEA 2008, based on NACE Rev 2.0). Data also includes persons employed and employees in these enterprises.

Data available from: 2010

Status of the figures:

The figures in this table are final for 2010 through 2022. The figures for 2023 are provisional. Only the data on Dissolved companies for 2023 will be adjusted.

Changes as of September 4, 2025: The provisional figures for 2023 have been added, and the figures for 2022 have been adjusted and finalized.

When will new figures be released? Figures on a new reporting year (T – 2) will be published in July of the current year T.

The Global Entrepreneurship Monitor [GEM] research program was developed to provide comparisons among countries related to participation of adults in the firm creation process. The initial data was assembled as a pretest of five countries in 1998 and by 2012 over 100 countries had been involved in the program. The initial design for the GEM initiative was based on the first US Panel Study of Entrepreneurial Dynamics, and by 2012 data from 1,827,513 individuals had been gathered in 563 national samples and 6 specialized regional samples. This dataset is a harmonized file capturing results from all of the surveys. The procedure has been to harmonize the basic items across all surveys in all years, followed by implementing a standardized transform to identify those active as nascent entrepreneurs in the start-up process, as owner-managers of new firms, or as owner-managers of established firms. Those identified as nascent entrepreneurs or new business owners are the basis for the Total Entrepreneurial Activity [TEA] or Total Early-Stage index. This harmonized, consolidated assessment not only facilitates comparisons across countries, but provides a basis for temporal comparisons for individual countries. Respondents were queried on the following main topics: general entrepreneurship, start-up activities, ownership and management of the firm, and business angels (angel investors). Respondents were initially screened by way of a series of general questions pertaining to starting a business, such as whether they were currently trying to start a new business, whether they knew anyone who had started a new business, whether they thought it was a good time to start a new business, as well as their perceptions of the income potential and the prestige associated with starting a new business. Demographic variables include respondent age, sex, and employment status.

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Abstract

This research was conducted in Poland from June 19 to July 31, 2002, as part of the second round of the Business Environment and Enterprise Performance Survey. 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 face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The survey topics include company's characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement, security, government policies and regulations, bribery, sources of financing, overall business environment, performance and investment activities, and workforce composition.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment.

Universe

The manufacturing and services sectors are the primary business sectors of interest.

Kind of data

Sample survey data [ssd]

Sampling procedure

The information below is taken from "The Business Environment and Enterprise Performance Survey - 2002. A brief report on observations, experiences and methodology from the survey" prepared by MEMRB Custom Research Worldwide (now part of Synovate), a research company that implemented BEEPS II instrument.

The general targeted distributional criteria of the sample in BEEPS II countries were to be as follows:

1) Coverage of countries: The BEEPS II instrument was to be administered to approximately 6,500 enterprises in 28 transition economies: 16 from CEE (Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, FR Yugoslavia, FYROM, Hungary, Latvia, Lithuania, Poland, Romania, Slovak Republic, Slovenia and Turkey) and 12 from the CIS (Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russia, Tajikistan, Turkmenistan, Ukraine and Uzbekistan).

2) In each country, the sector composition of the total sample in terms of manufacturing versus services (including commerce) was to be determined by the relative contribution of GDP, subject to a 15% minimum for each category. Firms that operated in sectors subject to government price regulations and prudential supervision, such as banking, electric power, rail transport, and water and wastewater were excluded.

Eligible enterprise activities were as follows (ISIC sections): - Mining and quarrying (Section C: 10-14), Construction (Section F: 45), Manufacturing (Section D: 15-37) - Transportation, storage and communications (Section I: 60-64), Wholesale, retail, repairs (Section G: 50-52), Real estate, business services (Section K: 70-74), Hotels and restaurants (Section H: 55), Other community, social and personal activities (Section O: selected groups).

3) Size: At least 10% of the sample was to be in the small and 10% in the large size categories. A small firm was defined as an establishment with 2-49 employees, medium - with 50-249 workers, and large - with 250 - 9,999 employees. Companies with only one employee or more than 10,000 employees were excluded.

4) Ownership: At least 10% of the firms were to have foreign control (more than 50% shareholding) and 10% of companies - state control.

5) Exporters: At least 10% of the firms were to be exporters. A firm should be regarded as an exporter if it exported 20% or more of its total sales.

6) Location: At least 10% of firms were to be in the category "small city/countryside" (population under 50,000).

7) Year of establishment: Enterprises which were established later than 2000 should be excluded.

The sample structure for BEEPS II was designed to be as representative (self-weighted) as possible to the population of firms within the industry and service sectors subject to the various minimum quotas for the total sample. This approach ensured that there was sufficient weight in the tails of the distribution of firms by the various relevant controlled parameters (sector, size, location and ownership).

As pertinent data on the actual population or data which would have allowed the estimation of the population of foreign-owned and exporting enterprises were not available, it was not feasible to build these two parameters into the design of the sample guidelines from the onset. The primary parameters used for the design of the sample were: - Total population of enterprises; - Ownership: private and state; - Size of enterprise: Small, medium and large; - Geographic location: Capital, over 1 million, 1 million-250,000, 250-50,000 and under 50,000; - Sub-sectors (e.g. mining, construction, wholesale, etc).

For certain parameters where statistical information was not available, enterprise populations and distributions were estimated from other accessible demographic (e.g. human population concentrations in rural and urban areas) and socio-economic (e.g. employment levels) data.

Sampling deviation

The survey was discontinued in Turkmenistan due to concerns about Turkmen government interference with implementation of the study.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Screener and Main Questionnaires.

The survey topics include company's characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement, security, government policies and regulations, bribery, sources of financing, overall business environment, performance and investment activities, and workforce composition.

Cleaning operations

Data entry and first checking and validation of the results were undertaken locally. Final checking and validation of the results were made at MEMRB Custom Research Worldwide headquarters.

Response rate

Overall, in all BEEPS II countries, the implementing agency contacted 18,052 enterprises and achieved an interview completion rate of 36.93%.

Respondents who either refused outright (i.e. not interested) or were unavailable to be interviewed (i.e. on holiday, etc) accounted for 38.34% of all contacts. Enterprises which were contacted but were non-eligible (i.e. business activity, year of establishment, etc) or quotas were already met (i.e. size, ownership etc) or to which “blind calls” were made to meet quotas (i.e. foreign ownership, exporters, etc) accounted for 24.73% of the total number of enterprises contacted.