The Business Dynamics Statistics (BDS) is a public use data set providing annual aggregate measures of establishment openings and closings, firm startups and shutdowns, and job creation and destruction. These measures are available for the entire economy, and by industrial sector, 3-digit and 4-digit NAICS, state, MSA, and county. They are also available by firm and establishment size and age. For more information about the dataset see: https://www.census.gov/programs-surveys/bds.html

Release Date: 2024-09-26.Key Table Information:.The BDS data tables are compiled from the Longitudinal Business Database (LBD). The LBD is a longitudinal database of business establishments and firms with coverage starting in 1976. The LBD is constructed by linking annual snapshot files from the Census Bureau's Business Register (BR), and incorporating edits to BR data made by the County Business Patterns program. See: About This Program and BDS Methodology for complete information on the coverage, scope, and methodology of the Business Dynamics Statistics data series...Data Items and Other Identifying Records: .This file contains data classified by Firm age.Number of firms.Number of establishments.Number of employees.(DHS) denominator.Number of establishments born during the last 12 months.Rate of establishments born during the last 12 months.Number of establishments exited during the last 12 months.Rate of establishments exited during the last 12 months.Number of jobs created from expanding and opening establishments during the last 12 months.Number of jobs created from opening establishments during the last 12 months.Number of jobs created from expanding establishments during the last 12 months.Rate of jobs created from opening establishments during the last 12 months.Rate of jobs created from expanding and opening establishments during the last 12 months.Number of jobs lost from contracting and closing establishments during the last 12 months.Number of jobs lost from closing establishments during the last 12 months.Number of jobs lost from contracting establishments during the last 12 months.Rate of jobs lost from closing establishments during the last 12 months.Rate of jobs lost from contracting and closing establishments during the last 12 months.Number of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of reallocation during the last 12 months.Number of firms that exited during the last 12 months.Number of establishments associated with firm deaths during the last 12 months.Number of employees associated with firm deaths during the last 12 months...Geography Coverage:.The data are shown at the U.S. level, by Metro/non-Metro Area, State, Metropolitan/Micropolitan Statistical Area, and county...Industry Coverage:.The data are shown at the 2- through 4- digit NAICS codes for the United States and 2-digit NAICS sector for other geographies...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/bds/data/BDSFAGE.zip..API Information:.Business Dynamics Statistics (BDS) data are housed in the Business Dynamics Statistics (BDS) API. For more information, see Business Dynamics Statistics (BDS) Data (census.gov)...Methodology:.In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The BDS has adapted the disclosure avoidance method of the County Business Patterns (CBP) in using Hybrid Balanced Multiplicative Noise Infusion. CBP has been released with noise-infusion since 2007; see the CBP methodology webpage..In addition to noise infusion, cells with fewer than three firms are suppressed with a publication flag 'D'. In addition, cells with identified data quality concerns are suppressed with a publication flag 'S'. Cells that are "structurally missing" or "structurally zero" are indicated with a publication flag of 'X'. Finally, rate cells that cannot be calculated are indicated with a publication flag of 'N'..For more information about BDS methodology, see the BDS methodology pages...Source:.U.S. Census Bureau, 2022 Business Dynamics Statistics..Contact Information:.U.S. Census Bureau.Economy-Wide Statistics Division.Business Dynamics Statistics.Tel: (301) 763 - 6090 .Email: ewd.bds@census.gov

Release Date: 2024-09-26.Key Table Information:.The BDS data tables are compiled from the Longitudinal Business Database (LBD). The LBD is a longitudinal database of business establishments and firms with coverage starting in 1976. The LBD is constructed by linking annual snapshot files from the Census Bureau's Business Register (BR), and incorporating edits to BR data made by the County Business Patterns program. See: About This Program and BDS Methodology for complete information on the coverage, scope, and methodology of the Business Dynamics Statistics data series...Data Items and Other Identifying Records: .Number of firms.Number of establishments.Number of employees.(DHS) denominator.Number of establishments born during the last 12 months.Rate of establishments born during the last 12 months.Number of establishments exited during the last 12 months.Rate of establishments exited during the last 12 months.Number of jobs created from expanding and opening establishments during the last 12 months.Number of jobs created from opening establishments during the last 12 months.Number of jobs created from expanding establishments during the last 12 months.Rate of jobs created from opening establishments during the last 12 months.Rate of jobs created from expanding and opening establishments during the last 12 months.Number of jobs lost from contracting and closing establishments during the last 12 months.Number of jobs lost from closing establishments during the last 12 months.Number of jobs lost from contracting establishments during the last 12 months.Rate of jobs lost from closing establishments during the last 12 months.Rate of jobs lost from contracting and closing establishments during the last 12 months.Number of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of reallocation during the last 12 months.Number of firms that exited during the last 12 months.Number of establishments associated with firm deaths during the last 12 months.Number of employees associated with firm deaths during the last 12 months...Geography Coverage:.The data are shown at the U.S. level, and State...Industry Coverage:.The data are shown at the 2-digit NAICS codes for the United States and State...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/bds/data/BDSMETRO.zip..API Information:.Business Dynamics Statistics (BDS) data are housed in the Business Dynamics Statistics (BDS) API. For more information, see Business Dynamics Statistics (BDS) Data (census.gov)...Methodology:.In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The BDS has adapted the disclosure avoidance method of the County Business Patterns (CBP) in using Hybrid Balanced Multiplicative Noise Infusion. CBP has been released with noise-infusion since 2007; see the CBP methodology webpage..In addition to noise infusion, cells with fewer than three firms are suppressed with a publication flag 'D'. In addition, cells with identified data quality concerns are suppressed with a publication flag 'S'. Cells that are "structurally missing" or "structurally zero" are indicated with a publication flag of 'X'. Finally, rate cells that cannot be calculated are indicated with a publication flag of 'N'..For more information about BDS methodology, see the BDS methodology pages...Source:.U.S. Census Bureau, 2022 Business Dynamics Statistics..Contact Information:.U.S. Census Bureau.Economy-Wide Statistics Division.Business Dynamics Statistics.Tel: (301) 763 - 6090 .Email: ewd.bds@census.gov

Release Date: 2024-09-26.Key Table Information:.The BDS data tables are compiled from the Longitudinal Business Database (LBD). The LBD is a longitudinal database of business establishments and firms with coverage starting in 1976. The LBD is constructed by linking annual snapshot files from the Census Bureau's Business Register (BR), and incorporating edits to BR data made by the County Business Patterns program. See: About This Program and BDS Methodology for complete information on the coverage, scope, and methodology of the Business Dynamics Statistics data series...Data Items and Other Identifying Records: .This file contains data classified by Firm age and Employment size of firms.Number of firms.Number of establishments.Number of employees.(DHS) denominator.Number of establishments born during the last 12 months.Rate of establishments born during the last 12 months.Number of establishments exited during the last 12 months.Rate of establishments exited during the last 12 months.Number of jobs created from expanding and opening establishments during the last 12 months.Number of jobs created from opening establishments during the last 12 months.Number of jobs created from expanding establishments during the last 12 months.Rate of jobs created from opening establishments during the last 12 months.Rate of jobs created from expanding and opening establishments during the last 12 months.Number of jobs lost from contracting and closing establishments during the last 12 months.Number of jobs lost from closing establishments during the last 12 months.Number of jobs lost from contracting establishments during the last 12 months.Rate of jobs lost from closing establishments during the last 12 months.Rate of jobs lost from contracting and closing establishments during the last 12 months.Number of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of reallocation during the last 12 months.Number of firms that exited during the last 12 months.Number of establishments associated with firm deaths during the last 12 months.Number of employees associated with firm deaths during the last 12 months...Geography Coverage:.The data are shown at the U.S. level...Industry Coverage:.The data are shown at the 2-digit NAICS level...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/bds/data/BDSFAGEFSIZE.zip..API Information:.Business Dynamics Statistics (BDS) data are housed in the Business Dynamics Statistics (BDS) API. For more information, see Business Dynamics Statistics (BDS) Data (census.gov)...Methodology:.In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The BDS has adapted the disclosure avoidance method of the County Business Patterns (CBP) in using Hybrid Balanced Multiplicative Noise Infusion. CBP has been released with noise-infusion since 2007; see the CBP methodology webpage..In addition to noise infusion, cells with fewer than three firms are suppressed with a publication flag 'D'. In addition, cells with identified data quality concerns are suppressed with a publication flag 'S'. Cells that are "structurally missing" or "structurally zero" are indicated with a publication flag of 'X'. Finally, rate cells that cannot be calculated are indicated with a publication flag of 'N'..For more information about BDS methodology, see the BDS methodology pages...Source:.U.S. Census Bureau, 2022 Business Dynamics Statistics..Contact Information:.U.S. Census Bureau.Economy-Wide Statistics Division.Business Dynamics Statistics.Tel: (301) 763 - 6090 .Email: ewd.bds@census.gov

Release Date: 2024-09-26.Key Table Information:.The BDS data tables are compiled from the Longitudinal Business Database (LBD). The LBD is a longitudinal database of business establishments and firms with coverage starting in 1976. The LBD is constructed by linking annual snapshot files from the Census Bureau's Business Register (BR), and incorporating edits to BR data made by the County Business Patterns program. See: About This Program and BDS Methodology for complete information on the coverage, scope, and methodology of the Business Dynamics Statistics data series...Data Items and Other Identifying Records: .This file contains data classified by Firm age and Initial Employment size of firms.Number of firms.Number of establishments.Number of employees.(DHS) denominator.Number of establishments born during the last 12 months.Rate of establishments born during the last 12 months.Number of establishments exited during the last 12 months.Rate of establishments exited during the last 12 months.Number of jobs created from expanding and opening establishments during the last 12 months.Number of jobs created from opening establishments during the last 12 months.Number of jobs created from expanding establishments during the last 12 months.Rate of jobs created from opening establishments during the last 12 months.Rate of jobs created from expanding and opening establishments during the last 12 months.Number of jobs lost from contracting and closing establishments during the last 12 months.Number of jobs lost from closing establishments during the last 12 months.Number of jobs lost from contracting establishments during the last 12 months.Rate of jobs lost from closing establishments during the last 12 months.Rate of jobs lost from contracting and closing establishments during the last 12 months.Number of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of reallocation during the last 12 months.Number of firms that exited during the last 12 months.Number of establishments associated with firm deaths during the last 12 months.Number of employees associated with firm deaths during the last 12 months...Geography Coverage:.The data are shown at the U.S. level...Industry Coverage:.The data are shown at the 2-digit NAICS level...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/bds/data/BDSFAGEIFSIZE.zip..API Information:.Business Dynamics Statistics (BDS) data are housed in the Business Dynamics Statistics (BDS) API. For more information, see Business Dynamics Statistics (BDS) Data (census.gov)...Methodology:.In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The BDS has adapted the disclosure avoidance method of the County Business Patterns (CBP) in using Hybrid Balanced Multiplicative Noise Infusion. CBP has been released with noise-infusion since 2007; see the CBP methodology webpage..In addition to noise infusion, cells with fewer than three firms are suppressed with a publication flag 'D'. In addition, cells with identified data quality concerns are suppressed with a publication flag 'S'. Cells that are "structurally missing" or "structurally zero" are indicated with a publication flag of 'X'. Finally, rate cells that cannot be calculated are indicated with a publication flag of 'N'..For more information about BDS methodology, see the BDS methodology pages...Source:.U.S. Census Bureau, 2022 Business Dynamics Statistics..Contact Information:.U.S. Census Bureau.Economy-Wide Statistics Division.Business Dynamics Statistics.Tel: (301) 763 - 6090 .Email: ewd.bds@census.gov

The Business R&D and Innovation Survey (BRDIS) is a dataset created by the U.S. Census Bureau to provide detailed statistics on research and development (R&D) activities of U.S.-based companies. It tracks global and domestic R&D expenditures, the R&D workforce, intellectual property (IP) generation, technology transfer activities, and innovation trends. The survey serves as a critical resource for policymakers, researchers, and businesses to analyze investment in innovation, inform economic policies, and benchmark industry practices. Key features include granular data on R&D spending by industry, company size, and geographic location, as well as insights into collaboration between firms and academic institutions. The dataset replaced the older Survey of Industrial Research and Development (SIRD) in 2008, offering expanded scope and improved methodology. It is mandated under Title 13 of the U.S. Code, ensuring legal authority for data collection. Unique aspects of BRDIS include its focus on both manufacturing and nonmanufacturing sectors, detailed workforce metrics (e.g., R&D employee counts), and coverage of IP outputs like patents. Its predecessors, such as the Business Research and Development Survey (BRDS), were merged into the BERD framework, making it the primary source for understanding R&D dynamics in U.S. nonfarm businesses. The dataset supports academic research, industry strategy, and federal initiatives aimed at fostering innovation-driven economic growth.

A dataset that combines federal and state administrative data on employers and employees with core Census Bureau censuses and surveys, while protecting the confidentiality of people and firms that provide the data. This data infrastructure facilitates longitudinal research applications in both the household / individual and firm / establishment dimensions. The specific research is targeted at filling an important gap in the available data on older workers by providing information on the demand side of the labor market. These datasets comprise Title 13 protected data from the Current Population Surveys, Surveys of Income and Program Participation, Surveys of Program Dynamics, American Community Surveys, the Business Register, and Economic Censuses and Surveys. With few exceptions, states have partnered with the Census Bureau to share data. As of December 2008, Connecticut, Massachusetts, New Hampshire and Puerto Rico have not signed a partnership agreement, while a partnership with the Virgin Islands is pending. LEHD's second method of developing employer-employee data relations through the use of federal tax data has been completed. LEHD has produced summary tables on accessions, separation, job creation, destruction and earnings by age and sex of worker by industry and geographic area. The data files consist of longitudinal datasets on all firms in each participating state (quarterly data, 1991- 2003), with information on age, sex, turnover, and skill level of the workforce as well as standard information on employment, payroll, sales and location. These data can be accessed for all available states from the Project Website. Data Availability: Research conducted on the LEHD data and other products developed under this proposal at the Census Bureau takes place under a set of rules and limitations that are considerably more constraining than those prevailing in typical research environments. If state data are requested, the successful peer-reviewed proposals must also be approved by the participating state. If federal tax data are requested, the successful peer-reviewed proposals must also be approved by the Internal Revenue Service. Researchers using the LEHD data will be required to obtain Special Sworn Status from the Census Bureau and be subject to the same legal penalties as regular Census Bureau employees for disclosure of confidential information. Basic instructions on how to download the data files and restrictions can be found on the Project Website. * Dates of Study: 1991-present * Study Features: Longitudinal * Sample Size: 48 States or U.S. territories

Release Date: 2024-09-26.Key Table Information:.The BDS data tables are compiled from the Longitudinal Business Database (LBD). The LBD is a longitudinal database of business establishments and firms with coverage starting in 1976. The LBD is constructed by linking annual snapshot files from the Census Bureau's Business Register (BR), and incorporating edits to BR data made by the County Business Patterns program. See: About This Program and BDS Methodology for complete information on the coverage, scope, and methodology of the Business Dynamics Statistics data series...Data Items and Other Identifying Records: .Number of firms.Number of establishments.Number of employees.(DHS) denominator.Number of establishments born during the last 12 months.Rate of establishments born during the last 12 months.Number of establishments exited during the last 12 months.Rate of establishments exited during the last 12 months.Number of jobs created from expanding and opening establishments during the last 12 months.Number of jobs created from opening establishments during the last 12 months.Number of jobs created from expanding establishments during the last 12 months.Rate of jobs created from opening establishments during the last 12 months.Rate of jobs created from expanding and opening establishments during the last 12 months.Number of jobs lost from contracting and closing establishments during the last 12 months.Number of jobs lost from closing establishments during the last 12 months.Number of jobs lost from contracting establishments during the last 12 months.Rate of jobs lost from closing establishments during the last 12 months.Rate of jobs lost from contracting and closing establishments during the last 12 months.Number of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of reallocation during the last 12 months.Number of firms that exited during the last 12 months.Number of establishments associated with firm deaths during the last 12 months.Number of employees associated with firm deaths during the last 12 months...Geography Coverage:.The data are shown at the U.S. level, by Metro/non-Metro Area, State, Metropolitan/Micropolitan Statistical Area, and county...Industry Coverage:.The data are shown at the 2- through 4- digit NAICS codes for the United States and 2-digit NAICS sector for other geographies...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/bds/data/BDSGEO.zip..API Information:.Business Dynamics Statistics (BDS) data are housed in the Business Dynamics Statistics (BDS) API. For more information, see Business Dynamics Statistics (BDS) Data (census.gov)...Methodology:.In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The BDS has adapted the disclosure avoidance method of the County Business Patterns (CBP) in using Hybrid Balanced Multiplicative Noise Infusion. CBP has been released with noise-infusion since 2007; see the CBP methodology webpage..In addition to noise infusion, cells with fewer than three firms are suppressed with a publication flag 'D'. In addition, cells with identified data quality concerns are suppressed with a publication flag 'S'. Cells that are "structurally missing" or "structurally zero" are indicated with a publication flag of 'X'. Finally, rate cells that cannot be calculated are indicated with a publication flag of 'N'..For more information about BDS methodology, see the BDS methodology pages...Source:.U.S. Census Bureau, 2022 Business Dynamics Statistics..Contact Information:.U.S. Census Bureau.Economy-Wide Statistics Division.Business Dynamics Statistics.Tel: (301) 763 - 6090 .Email: ewd.bds@census.gov

Graph and download economic data for All Employees, Professional and Business Services (USPBS) from Jan 1939 to Jul 2025 about professional, establishment survey, business, services, employment, and USA.

Release Date: 2024-09-26.Key Table Information:.The BDS data tables are compiled from the Longitudinal Business Database (LBD). The LBD is a longitudinal database of business establishments and firms with coverage starting in 1976. The LBD is constructed by linking annual snapshot files from the Census Bureau's Business Register (BR), and incorporating edits to BR data made by the County Business Patterns program. See: About This Program and BDS Methodology for complete information on the coverage, scope, and methodology of the Business Dynamics Statistics data series...Data Items and Other Identifying Records: .This file contains data classified by Establishment age and Employment size of establishments.Number of firms.Number of establishments.Number of employees.(DHS) denominator.Number of establishments born during the last 12 months.Rate of establishments born during the last 12 months.Number of establishments exited during the last 12 months.Rate of establishments exited during the last 12 months.Number of jobs created from expanding and opening establishments during the last 12 months.Number of jobs created from opening establishments during the last 12 months.Number of jobs created from expanding establishments during the last 12 months.Rate of jobs created from opening establishments during the last 12 months.Rate of jobs created from expanding and opening establishments during the last 12 months.Number of jobs lost from contracting and closing establishments during the last 12 months.Number of jobs lost from closing establishments during the last 12 months.Number of jobs lost from contracting establishments during the last 12 months.Rate of jobs lost from closing establishments during the last 12 months.Rate of jobs lost from contracting and closing establishments during the last 12 months.Number of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of reallocation during the last 12 months.Number of firms that exited during the last 12 months.Number of establishments associated with firm deaths during the last 12 months.Number of employees associated with firm deaths during the last 12 months...Geography Coverage:.The data are shown at the U.S. level...Industry Coverage:.The data are shown at the NAICS 00 "Total for all Sectors" level...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/bds/data/BDSEAGEESIZE.zip..API Information:.Business Dynamics Statistics (BDS) data are housed in the Business Dynamics Statistics (BDS) API. For more information, see Business Dynamics Statistics (BDS) Data (census.gov)...Methodology:.In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The BDS has adapted the disclosure avoidance method of the County Business Patterns (CBP) in using Hybrid Balanced Multiplicative Noise Infusion. CBP has been released with noise-infusion since 2007; see the CBP methodology webpage..In addition to noise infusion, cells with fewer than three firms are suppressed with a publication flag 'D'. In addition, cells with identified data quality concerns are suppressed with a publication flag 'S'. Cells that are "structurally missing" or "structurally zero" are indicated with a publication flag of 'X'. Finally, rate cells that cannot be calculated are indicated with a publication flag of 'N'..For more information about BDS methodology, see the BDS methodology pages...Source:.U.S. Census Bureau, 2022 Business Dynamics Statistics..Contact Information:.U.S. Census Bureau.Economy-Wide Statistics Division.Business Dynamics Statistics.Tel: (301) 763 - 6090 .Email: ewd.bds@census.gov

📊 Partner's Expectations Survey Dataset: Insights from Ongoing Exploration

Embark on an insightful journey into relationship dynamics with this evolving dataset! With an initial set of small responses, the "Relationship Predictor Survey" offers a snapshot into the diverse factors influencing romantic connections. As I continue to collect data, this dataset will grow, providing a unique opportunity for ongoing analysis and exploration.

Key Features:

🌐 Ongoing Updates: I'm committed to regularly updating this dataset with new responses, expanding the scope of my exploration.

🧩 Initial Insights: While currently modest, the dataset already encompasses a variety of factors, including social skills, personality traits, interests, and more.

🚀 Community Collaboration: Join me in unraveling the nuances of relationships by contributing to and engaging with this evolving dataset.

How to Use:

📈 Track Changes: Stay tuned for updates as I will add more responses over time. 🤝 Collaborate: Share your own insights and analyses to enrich the collective understanding. 📑 Flexible Research: Use the dataset for ongoing research projects or personal exploration.

Acknowledgments: A sincere thank you to the initial participants who kick started this project. Your input lays the foundation for a growing resource that benefits the community.

Please help me gather more data: https://forms.gle/xJ7W6SRH917HLMsaA

Join me in this continuous exploration of relationships. As I gather more responses, the dataset will become a dynamic resource for insights and discussions. Happy analyzing! 🌱

This survey focused on overcharges of General Dynamics Corporation

Additional questions were asked on cost overruns of the Reagan administration, waste in defense and social programs, rating of Casper Weinberger, environmental problems, computers and information processing systems, and modern technology's impact on employment.

Abstract

Self-employment accounts for a large share of female employment in most developing countries, and it is considered an important avenue for women's economic empowerment. However, the majority of female-owned enterprises are small in scale with commensurately low earning levels.

Researchers from the World Bank, University of Peradeniya, and Warwick University designed an impact evaluation study to investigate the effectiveness of business training to increase female labor force participation and to raise the income levels of low-earning women already in business in Sri Lanka.

The International Labor Organization's Start-and-Improve Your Business (SIYB) program is one of the most common training courses in developing countries. This program has been given to over 4.5 million people in more than 95 countries.

In Sri Lanka, using a randomized design, researchers tested whether the impact of SIYB training alone differed from the training combined with access to capital in the form of a grant. Two samples were chosen. The first sample consisted of 624 women operating a business and earning an income of less than $2 per day. The second sample consisted of 628 women who were out of the labor force at baseline, but who expressed interest in starting a business within the next year. The first sample was referred to as "current business owners" and the second - as "potential business owners." Each sample was randomized into three groups: a control group, a group invited to attend training, and a group invited to receive the training and a grant of $129, conditional on completing the training.

A baseline survey was conducted in January 2009. Training took place in April and May 2009, and the cash grants were distributed in June 2009. Four rounds of follow-up surveys were carried out in September 2009, January 2010, September 2010, and June 2011 (rounds 2, 3, 4 and 5 respectively). The follow-up surveys asked detailed information about business outcomes, including the key performance measures of business profits in the last month, sales in the last month, and capital stock (including raw materials and inventories).

Geographic coverage

Two largest urban areas in Sri Lanka - greater Colombo and greater Kandy.

Analysis unit

1) Female current business owners. This group consisted of self-employed women who worked more than 20 hours per week in self-employment, were involved in a sector other than seasonal agriculture or fisheries, and had monthly profits of 5000 Rs or less (the median in the general population of female self-employed).

2) Female potential business owners. This group consisted of women who were out of the labor force, but who were likely to enter the labor force within the next year. For females out of the labor force and between 25 and 45 years of age, the screening survey asked directly whether the woman planned to enter self-employment in the next year, as well as the nature of the business that she planned to start. As a signal of seriousness of intent, researchers sampled only women who were able to identify the type of business that they planned to start. Since the ability to participate in full-day business training program was important for the proposed intervention, respondents were also asked about the availability of child care for any children younger than five years of age.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was chosen in two largest urban areas in Sri Lanka - greater Colombo and greater Kandy. Within each of the two urban areas, researchers selected 5 D.S. divisions in urban and semi-urban areas. There are four administrative levels in Sri Lanka: Provinces (9), Districts (25), Divisional Secretariat (D.S.) Divisions (324), and Grama Niladari (G.N.) Divisions (14,008). A training venue was located in each of the ten D.S. Divisions, thus minimizing the required travel time for project participants.

Within each D.S. division researchers then conducted a door-to-door screening exercise in selected G.N. Divisions. The short screening survey gathered employment information on females aged 25 to 45 living in the household. Based on the screening, a sample of 628 current business owners and 628 potential business owners was selected. This sample was stratified to take approximately 63 of each type in each D.S., in order to have equal sized groups at each training location.

Detailed information about sampling and randomization procedures is available in "Business Training and Female Enterprise Start-up, Growth, and Dynamics: Experimental evidence from Sri Lanka" report.

Mode of data collection

Face-to-face [f2f]

Research instrument

A separate questionnaire was designed for each of the five rounds for current firm owners and each of the five rounds for potential firm owners.

After the second round, potential firm owners who had opened a business were instead given the current firms questionnaires. After the third round, firm owners who had said they operate more than one business in the previous round were given the multi-firm questionnaire.

Abstract

The world is witnessing rapid changes resulting from the Coronavirus pandemic (COVID-19), which it is affecting all aspects of life. It is quite obvious that such effects have negatively impacted the economic, social, environmental and health conditions. This critical situation has imposed tough challenges against the Palestinian economy that would require observation, following up and monitoring the Palestinian institutions' economic conditions during the pandemic in order to measure the size of changes that have occurred on those institutions' economic conditions, as well as being comparable with normal and exceptional conditions. To that end, the Palestinian Central Bureau of Statistics (PCBS) took the responsibility of implementing the COVID-19 Business Pulse Survey to meet the needs of policy and decision makers from both the private and public sectors, in addition to civil society and international institutions in a manner that contributes to developing programs and interventions that can mitigate the impacts and consequences of this pandemic.

Despite the closure of borders around the world and the aggressive containment measures, the Coronavirus (COVID19) continues to spread globally. Therefore, the aim of the COVID-19 Business Pulse Survey, 2020 is to assess the dynamics of the impacts of COVID-19 on small, medium and large institutions in Palestine.

Geographic coverage

National

Analysis unit

Enterprises

Universe

The survey covered a national sample of enterprises working in any of the following activities: industry, construction, internal trade, information and communication, transportation and storage, and services.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample and Frame: The sample is One-Stage Stratified Systematic Random Sample (without replacement).

Sample Strata: Three levels are used to divide the population into strata: 1. Region (North of the West Bank in addition to Jericho Governorate, Ramallah and Al-Bireh Governorate, Jerusalem Governorate, Bethlehem Governorate, Hebron Governorate, Gaza Strip) 2. Strata were created based on the fourth digit of ISIC-4, excluding services sector based on the second in which every activity presents an actual stratum. 3. Enterprise size (small, medium, large) by number of employees.

Sample Size: 13,974 enterprises were reached of which,11,243 enterprises responded on COVID-19 questions, and 10,602 enterprises responded on financial questions (baseline of economic indicators)

Mode of data collection

Face-to-face [f2f] & Computer Assisted telephone Interview [cati]

Research instrument

The survey's questionnaire was designed to achieve the objectives of this study. The questionnaire included essential variables required to study the impacts of COVID-19 on small, medium and large institutions in the West Bank and Gaza. It was oriented by joint efforts between PCBS team and the World Bank team and cooperation with GIZ and international institutions adaptation to the Palestinian situation.

Note: The questionnaire could be seen in the documentation materials tab.

Cleaning operations

Notes on Data:

1. The data was separated into two files, one file contains the data for establishment's responses on COVID-19 questions, and the other contains the data for establishment's responses on financial questions (baseline of economic indicators). The two data sets cannot be combined at this stage.

2. The financial data (baseline of economic indicators) excluded those parts of Jerusalem which were annexed by Israeli Occupation in 1967.

3. The services survey covers profit, non-profit enterprises, and output of non-profit enterprises in the National Accounts System 2008 (SNA'2008) equals to the value of intermediate consumption, and the value of employee compensation, and the value of depreciation of fixed assets, in addition to the value of net taxes and fees on production.

4. Financial data were collected in NIS

Response rate

Response Rate: For COVID-19 survey the Response rate values is: - The size of the selected sample in Palestine was 13,974 institutions. - The size of the achieved sample from the field was 11,243 institutions in Palestine. - Non-response cases: 1,491. - Over-coverage cases: 1,240. - Net sample: 12,734 - Response rate: 88.3%. - Non-response rate: 11.7 %. - Over-coverage rate: 8.9%.

For financial questions (baseline of economic indicators), the response rate values is: - The size of the achieved sample from the field was 10,643 institutions in Palestine. - Non-response cases: 2,023. - Over-coverage cases: 1,308. - Net sample: 12,666 - Response rate: 84.0%. - Non-response rate: 16.0 %. - Over-coverage rate: 9.4%

description: The DataFerrett tool is used to search American Community Survey Public Use Microdata, Current Population Survey (CPS), CPS supplemental surveys, Survey of Income and Program Participation (SIPP), SIPP Topical Module surveys, Small Area Health Insurance Estimates, Survey of Program Dynamics, the American Housing Survey, National Survey of Fishing, Hunting, and Wildlife Associated Recreation, The New York City Housing and Vacancy Survey, County Business Patterns, and the Public Libraries Survey. It is an online analytically oriented, self-service tool designed to deliver a wide variety of population, health, economic, geographic and housing information about the United States to individuals, businesses, governments, and organizations. This tool provides easy access to accurate, relevant, and timely information that supports learning, facilitates decision-making, empowers individuals, and strengthens communities.; abstract: The DataFerrett tool is used to search American Community Survey Public Use Microdata, Current Population Survey (CPS), CPS supplemental surveys, Survey of Income and Program Participation (SIPP), SIPP Topical Module surveys, Small Area Health Insurance Estimates, Survey of Program Dynamics, the American Housing Survey, National Survey of Fishing, Hunting, and Wildlife Associated Recreation, The New York City Housing and Vacancy Survey, County Business Patterns, and the Public Libraries Survey. It is an online analytically oriented, self-service tool designed to deliver a wide variety of population, health, economic, geographic and housing information about the United States to individuals, businesses, governments, and organizations. This tool provides easy access to accurate, relevant, and timely information that supports learning, facilitates decision-making, empowers individuals, and strengthens communities.

This dataset encapsulates a comprehensive survey aimed at understanding informal business practices and financial literacy among small business vendors in Peru. The dataset comprises three key components: the survey questionnaire, raw survey data, and a detailed codebook. Researchers interested in the dynamics of financial practices in emerging markets may find this dataset particularly valuable, as it allows for the exploration of factors influencing financial decisions in small enterprises, with potential modifications suggested for adapting the survey to different national or cultural contexts. This dataset not only contributes to empirical research in financial behavior but also supports gender-specific studies by allowing the variable 'sex' to be adapted to 'gender' with multiple response options.

The data and supplementary material is divided in tree files:

The survey, presented in "Survey IFE.docx," includes questions across various domains such as informal business practices, financial literacy, financial inclusion, intentions towards financial formalization, and the formality of business ventures, along with demographic variables like age, sex, business age, and number of employees.

The raw data, stored in "Dataset.csv," records responses from 118 participants, mapped against 31 indicators.

The "Codebook.doc" provides exhaustive details about the survey variables, coding of responses, and the methodology employed, facilitating the replication of the study and application of the dataset in varied research contexts.

The basic information of the tour bus, mileage, maintenance and repair costs, operational status, basic information of the staff, company basic information, opinions on operational status and future prospects. This dataset is the original data of the survey. For summary analysis of previous surveys, please refer to [Ministry of Transportation homepageTransportation statisticsSurvey statistics summary analysis].

Abstract

Malaysia Employee Survey was conducted as part of 2007 Malaysia Productivity of the Investment Climate Private Enterprise Survey (PICS). The research aimed to capture employees' perspectives on work environment and dynamics. The survey covered 10615 manufacturing workers and 2918 services sector employees.

Malaysia PICS 2007 was a collaborative effort of the Malaysian Government and the World Bank. The research targeted 1115 businesses working in manufacturing sector and 303 enterprises in services sector.

The sample for the Employee Survey was randomly selected from establishments participating in Malaysia PICS 2007.

Overall, PICS 2007 aimed to achieve following objectives: - Benchmark productivity, the investment climate, competitiveness, and growth in Malaysia; - Identify the key constraints to competitiveness as perceived by firms in the manufacturing and selected business support services sectors; - Highlight the key concerns regarding regulatory burden, skills shortages and weak innovation capabilities; - Enable the analysis of firm performance focusing on determining how investment climate constraints affect productivity and job creation in selected sectors.

Geographic coverage

National

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for the Employee Survey was selected from the establishments covered in 2007 Malaysia Productivity of the Investment Climate Private Enterprise Survey (PICS).

Ten full-time workers were sampled from each establishment. Workers were interviewed only if the manager of the business did not mind. If the manager had no objections, enumerators asked for a complete list of full-time employees of the establishment from the personnel manager at about the time the human resources module of PICS 2007 was being completed. The personnel manager was asked to choose any one worker from the list. After that enumerators picked employees at fixed regular intervals until a sample of 10 workers was reached. A worker who could not be interviewed was replaced by another randomly chosen employee.

Malaysia PICS 2007 covered establishments in the manufacturing and business support services sectors. For manufacturing industries, the economic activities were defined according to Divisions under the Malaysia Standard Industrial Classification (MSIC) 2000 (2-digit codes), which is identical to the United Nations Statistical Division's International Standard Industrial Classification of All Economic Activities (ISIC Rev. 3) up to the 4-digit level. In Malaysia PICS 2007, 12 manufacturing industries and 5 business support services sectors were surveyed.

The sampling frame was extracted from the Central Register of Establishments (SIDAP) maintained by the Department of Statistics, Malaysia. The register was updated using information supplied by the Companies Commission of Malaysia (CCM), Employees Provident Fund (EPF), the 2006 Economic Census data, and several regular surveys or censuses conducted by the Department of Statistics, Malaysia (DOSM).

For the manufacturing sector, only establishments with more than 10 employees were covered. For the business support services sector, two employment thresholds were used. Only establishments with more than 10 employees were covered for Information Technology, Telecommunications, and Advertising & Marketing, while only establishments with more than 20 employees were covered for Accounting & Related Services and Business Logistics.

Single-stage stratified systematic sampling was used in drawing samples. The sampling frame was stratified by sector, region, state, and industry. To select the sample, for each sector, establishments within each industry, region and area combination were arranged according to the value of output. Selection was then carried out independently for each sub-stratum based on a linear systematic method.

Malaysia PICS 2007 covered 6 regions: 4 regions in Peninsular Malaysia and 2 regions in East Malaysia. Within each of the 6 regions, states and areas to be covered were selected based on the concentration of establishments.

For details on the Malaysia PICS 2007 sampling coverage, sampling methodology and sampling frame, please review "Sampling Methodology of Malaysia PICS 2007" and "Sample Coverage and Distribution of Malaysia PICS 2007" in "Technical Documents" folder.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - Manufacturing Sector Employee Questionnaire - Business Supporting Servicers Employee Questionnaire.

Since the instrument was researcher-made, experts were consulted to validate its content. A panel of three expert evaluators, well-versed in the discipline, structure, and logic of research, validated the content of the research instrument. The panel of expert validators consisted of individuals with diverse qualifications. These included (1)a dean of the College of Business Administration of a prestigious and accredited private higher education institution, who is well versed in the finance and entrepreneurial dynamics, (2) an academic director of a business administration program who has a profound understanding of entrepreneurship, (3) and chairperson of trade, commerce, industry, investment and entrepreneurship, and a provincial board member of the 2nd district of Misamis Oriental. These expert validators comprehensively understand research methods and have experience in finance and entrepreneurial domains. Further, a pilot test was conducted on at least 30 street vendors who were non-respondents of the study to evaluate the internal consistency of the parameters. The pilot test was done at the Carmen public market, a setting that mirrored the main locale of the study in terms of informal financing and economic activity. The researcher employed a convenient sampling procedure for the pilot testing. After pilot testing, the data were arrayed and treated using Cronbach's alpha.

Reliability Statistics Scale N Items Cronbach’s α Interpretation Price 30 5 .80 Good reliability Inventory 30 5 .91 Great reliability Net Income 30 5 .88 Good reliability Gross Sales 30 5 .81 Good reliability Selling Strategies 30 5 .87 Good reliability Business Outcome 30 5 .94 Great reliability Overall 30 30 .70 Acceptable Reliability

The Panel Study of Entrepreneurial Dynamics (PSED) research program was designed to longitudinally examine the startup process with multi-year cohort tracking, so as to enhance the scientific understanding of how individuals start businesses. The project provided data on the process of business formation based on nationally-representative samples of nascent entrepreneurs, those active in business creation. PSED I began with screening in 1998-2000 to select a cohort of 830 with three follow-up interviews. The panel participants were identified prior to launch of their firms and were tracked through gestation, launch and eventual growth or death of the firm. A control group of those not involved in firm creation were available for comparisons. PSED II (available from ICPSR as study 37202) began with screening in 2005-2006, followed by six yearly interviews. The information obtained as part of the PSED research program included data on the nature of those active as nascent entrepreneurs, the activities undertaken during the start-up process, and the characteristics of start-up efforts that become new firms. The PSED I data included as part of this collection includes: Datasets 1 and 2: Screener Data (117 Variables, 64,622 Cases) Datasets 3 and 4: Waves 1-4 Data by Questionnaire Sequence (5,015 Variables, 1,261 Cases) Datasets 5 and 6: Waves 1-4 Data by Panel Sequence (5,223 Variables, 1,261 Cases) Demographic variables included as part of this collection comprises age, race, ethnicity, gender, household income, educational attainment, employment status, marital status, citizenship, year of birth, household characteristics, and business characteristics.