This dataset is about companies in South Africa. It has 19,267 rows. It features 30 columns including city, country, employees, and employee type.

The Social Security Rate For Companies in South Africa stands at 1 percent. This dataset provides - South Africa Social Security Rate For Companies - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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Comprehensive dataset of 244 Accounting software companies in South Africa as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

South Africa Number of Liquidations: Companies: Manufacturing data was reported at 3.000 Unit in Jun 2018. This records an increase from the previous number of 2.000 Unit for May 2018. South Africa Number of Liquidations: Companies: Manufacturing data is updated monthly, averaging 9.000 Unit from Apr 1993 (Median) to Jun 2018, with 303 observations. The data reached an all-time high of 39.000 Unit in Jun 1998 and a record low of 0.000 Unit in Mar 2017. South Africa Number of Liquidations: Companies: Manufacturing data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.O007: Number of Liquidations and Insolvencies.

Bankruptcies in South Africa decreased to 130 Companies in June from 141 Companies in May of 2025. This dataset provides - South Africa Bankruptcies - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Comprehensive dataset of 0 Trading companies in South Africa as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 915 Import export companies in South Africa as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Abstract

The Manpower Survey is a survey of enterprises in South Africa that provides industry and occupation data by gender and race. It covered both the private and public sector, but excluded workers in the informal sector and agricultural sector, and domestic workers in private households. Enterprise details for the survey sample were obtained from government sources, and the survey instrument was a form mailed to enterprise managers.

The dataset available from DataFirst includes data from the surveys conducted in 1965-1994, unearthed in a project to find and share historical South African microdata. The data was obtained with the assistance of Lucia Lotter, Anneke Jordaan and Marie-Lousie van Wyk from the Human Sciences Research Council's Research Use and Impact Assessment Department. The project was made possible by an exploratory grant obtained by Andrew Kerr and Martin Wittenberg of DataFirst from the Private Enterprise Development in Low-Income Countries (PEDL) research initiative. PEDL is a joint research initiative of the Centre for Economic Policy Research (CEPR) and the Uk Department For International Development (DFID). It aims to develop a research programme focusing on private-sector development in low-income countries.

Geographic coverage

The survey had national coverage, but excluded the "independent" " homelands" of Bophuthatswana and Transkei (excluded from 1979) Venda (1981) and the Ciskei (1983).

Analysis unit

Units of analysis in the survey include firms and individuals

Universe

The universe of the survey were enterprises in the formal non-agricultureal sector in South Africa.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey sample is based on lists of companies obtained from the databases of the Compensation Fund and Unemployment Insurance Fund of the South African Department of Labour) and the South African Tourism Board. During the time the surveys were conducted by the Department of labour (1965-1985), the sample of companies was 250,000. The survey was taken over by the Central Statistical Service (now Statistics South Africa) in 1987 who rationalised the sample to 12,800 companies in 1989, and later to 8500.

The sample excludes domestic workers in private household, and workers in the agricultural and informal sectors. The firms were classified into industries, based on the Standard Industrial Classification of all Economic Activities. Where these firms consisted of more than one establishment in more than one sector the firm was classified according to the sector in which it is predominantly engaged. Thus, although workers in the agricultural sector are not covered these may be included in firm data for those firms which include more than one establishment, and where one of the establishments is involved in agricultural production.

Entities in the "independent" " homelands" were excluded from the survey. These included Bophuthatswana and Transkei (excluded from 1979) Venda (1981) and the Ciskei (1983).

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The 1965-1985 questionnaire from the Department of Labour has 5 Sections: Section A: To be completed for all employees except artisans, apprentices and “Bantu” building workers Section B: To be completed for male artisans and apprentices only Section C: To be completed for women artisans and apprentices only Section D: To be completed for “Bantu” building workers only (“skilled Bantu building workers and learners registered in terms of the Bantu Building Workers' Act”) Section E: To be completed for all employees (total number of employees)

The 1987-1994 questionnaire from the Central Statistical Service has 4 Sections: Section 1: To be completed for all employees except artisans, apprentices Section 2: To be completed for artisans only (men and women) Section 3: To be completed for apprentices only (men and women) Section 4: To be completed for all employees (total number of employees)

The variable

Response rate

Since the questionnaire was completed by company managers, the response rate of the sample is very high (around 90 percent)

Data appraisal

The Manpower survey enables investigations of long-term changes in the occupational and racial division of labour during the period 1965-1994. It is the only data source for this period that distinguishes artisans and apprentices from other manual workers, which allows analysis of these occupations over time. However, the data is not reliable at disaggregated levels because of the following:

(1) Both agriculture and the informal sector are excluded from the survey universe. These sectors are major employers in the South African economy. (2) Domestic workers in private households are also excluded from the sample. (3) The survey does not cover the unemployed and is therefore not representative of the economically active population. (4) Although this is an occupational survey, the information on occupations is derived from samples based on total employment within industries. (5) A new sample was drawn by the Central Statistical Service when they took over the Manpower Survey from the Department of Manpower in 1987, causing a break in the series.

Finally, the variable

No of Liquidations: Companies: Compulsory: Transport, Storage and Communication data was reported at 0.000 Unit in Jun 2018. This stayed constant from the previous number of 0.000 Unit for May 2018. No of Liquidations: Companies: Compulsory: Transport, Storage and Communication data is updated monthly, averaging 0.000 Unit from Apr 1993 (Median) to Jun 2018, with 295 observations. The data reached an all-time high of 19.000 Unit in May 1994 and a record low of 0.000 Unit in Jun 2018. No of Liquidations: Companies: Compulsory: Transport, Storage and Communication data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.O007: Number of Liquidations and Insolvencies.

ZA: No of Listed Domestic Companies: Total data was reported at 294.000 Unit in 2017. This records a decrease from the previous number of 303.000 Unit for 2016. ZA: No of Listed Domestic Companies: Total data is updated yearly, averaging 481.000 Unit from Dec 1975 (Median) to 2017, with 43 observations. The data reached an all-time high of 754.000 Unit in 1988 and a record low of 294.000 Unit in 2017. ZA: No of Listed Domestic Companies: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Financial Sector. Listed domestic companies, including foreign companies which are exclusively listed, are those which have shares listed on an exchange at the end of the year. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies, such as holding companies and investment companies, regardless of their legal status, are excluded. A company with several classes of shares is counted once. Only companies admitted to listing on the exchange are included.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Techsalerator’s Import/Export Trade Data for Africa

Techsalerator’s Import/Export Trade Data for Africa offers a thorough and detailed examination of trade activities across the African continent. This extensive dataset provides valuable insights into import and export transactions involving companies throughout Africa, covering a wide range of countries and regions.

Coverage Across All African Countries

The dataset includes comprehensive trade data for all African countries, divided into key regions:

North Africa:

Egypt Libya Mauritania Morocco Algeria Sudan Tunisia East Africa: 8. Burundi 9. Comoros 10. Djibouti 11. Eritrea 12. Ethiopia 13. Kenya 14. Madagascar 15. Malawi 16. Mauritius 17. Rwanda 18. Seychelles 19. Somalia 20. Tanzania 21. Uganda

West Africa: 22. Benin 23. Burkina Faso 24. Cape Verde 25. Ivory Coast (Côte d'Ivoire) 26. Gambia 27. Ghana 28. Guinea 29. Guinea-Bissau 30. Liberia 31. Mali 32. Niger 33. Nigeria 34. Senegal 35. Sierra Leone 36. Togo

Central Africa: 37. Angola 38. Cameroon 39. Central African Republic 40. Chad 41. Congo, Democratic Republic of the 42. Congo, Republic of the 43. Equatorial Guinea 44. Gabon 45. São Tomé and Príncipe

Southern Africa: 46. Botswana 47. Eswatini (Swaziland) 48. Lesotho 49. Namibia 50. South Africa 51. Zimbabwe

Comprehensive Data Features

Transaction Details: The dataset includes detailed information on each trade transaction, such as product descriptions, quantities, values, and dates. This allows for precise tracking and analysis of trade patterns and flows across Africa.

Company Information: It provides specific details about the trading companies involved, including company names, locations, and industry sectors, facilitating targeted market research and competitive analysis.

Categorization: Transactions are categorized by industry sectors, product types, and trade partners, offering insights into market dynamics and sector-specific trends within different regions of Africa.

Trade Trends: Users can analyze historical data to observe trade trends, identify emerging markets, and assess the impact of economic, political, or environmental events on trade activities across the continent.

Geographical Insights: The data provides insights into regional trade flows and cross-border dynamics within Africa and with global trade partners, including major international trade relationships.

Regulatory and Compliance Data: Information on trade regulations, tariffs, and compliance requirements is included, helping businesses navigate the complex regulatory environments across various African countries.

Applications and Benefits

Market Research: Businesses can leverage the data to uncover new market opportunities, analyze competitive landscapes, and understand demand for specific products across different African countries and regions.

Strategic Planning: Companies can use insights from the data to develop effective trade strategies, optimize supply chains, and manage risks associated with international trade in Africa.

Economic Analysis: Analysts and policymakers can monitor economic performance, evaluate trade balances, and make informed decisions on trade policies and economic development initiatives.

Investment Decisions: Investors can assess trade trends and market potentials to make informed decisions about investments in Africa’s diverse and rapidly evolving economies.

Techsalerator’s Import/Export Trade Data for Africa provides a crucial resource for organizations involved in international trade, offering a detailed, reliable, and expansive view of trade activities across the African continent.

This is a qualitative study trying to determine the factors that influence the adaptation of human resources practices in South African subsidiaries of multinationals. All the dataset uploaded is to support the study.

In the dynamic landscape of African business, access to reliable data is paramount. Our Africa B2B Data offers a comprehensive solution tailored to meet the needs of businesses seeking to navigate and thrive in this diverse continent. With over 53 million contacts, meticulously verified emails, direct phone numbers, and a wealth of attributes to explore, this database empowers businesses with actionable insights and opportunities.

Unique Features: What sets our Africa B2B Data apart is its unparalleled depth and accuracy. We prioritize quality over quantity, ensuring that each contact represents a valuable opportunity for connection and collaboration. From established owners to emerging founders, our database covers decision-makers across various sectors and industries, offering a comprehensive view of the African business landscape.

Data Sourcing: Our data is sourced from a multitude of reputable channels, including authoritative business directories, public records, and proprietary research methodologies. Each contact undergoes rigorous verification processes to ensure authenticity and reliability, providing businesses with the confidence to make informed decisions and forge meaningful connections.

Primary Use-Cases and Verticals: The Africa B2B Data caters to a wide range of industries and verticals, reflecting the vibrant and diverse nature of African economies. Whether you're in finance, manufacturing, technology, healthcare, retail, or hospitality, our database offers invaluable insights to support your business objectives. Use cases include market expansion, partner identification, market research, and strategic planning.

Fit within Broader Data Offering: Our Africa B2B Data seamlessly integrates with our broader data offering, serving as a cornerstone of our comprehensive business intelligence solutions. By combining regional insights with global datasets, businesses gain a holistic view of the global business landscape, enabling them to identify trends, opportunities, and risks with confidence.

Countries Covered: Our coverage extends across the entirety of Africa, encompassing countries such as:

• Nigeria
• South Africa
• Kenya
• Egypt
• Ghana
• Morocco
• Ethiopia
• Tanzania
• Uganda
• Algeria
• and many more.

Industries Covered: We cater to a diverse array of industries, including but not limited to:

• Finance
• Manufacturing
• Technology
• Healthcare
• Retail
• Hospitality
• Energy
• Agriculture
• Mining
• Construction
• Transportation
• and more.

Employee Size and Revenue Data: In addition to contact details, our database includes detailed information on employee size and revenue, providing businesses with a deeper understanding of their target demographics and potential partners. Whether you're targeting startups, SMEs, or multinational corporations, our data offers insights into companies of all sizes, enabling you to tailor your strategies accordingly.

Empower your business with actionable insights and opportunities across the vibrant continent of Africa. Explore our Africa B2B Data today and unlock the potential for growth and success in this dynamic and rapidly evolving market.

Techsalerator’s Business Technographic Data for Africa is an invaluable resource designed to provide businesses, market analysts, and technology vendors with a comprehensive understanding of the technological landscape across Africa. This dataset offers an in-depth examination of the technology ecosystems within companies operating in the region, offering a granular view into their technology stacks, digital tools, and IT infrastructure.

Key Features of the Dataset: Technology Stacks:

Detailed information on the technology stacks used by companies, including software, hardware, and platforms. This encompasses data on programming languages, frameworks, databases, cloud services, and enterprise applications that companies rely on. Digital Tools:

Insight into the digital tools and services adopted by businesses, such as customer relationship management (CRM) systems, enterprise resource planning (ERP) solutions, collaboration tools, and marketing automation platforms. IT Infrastructure:

Data on the IT infrastructure of companies, including their network setups, server environments, data storage solutions, and cybersecurity measures. This also covers information on on-premises versus cloud-based infrastructure. Technological Trends:

Analysis of emerging technological trends and innovations being adopted across different sectors and regions. This helps in identifying shifts in technology usage and areas of growth within the African market. Sector and Regional Breakdown:

Segmentation of data by industry sectors and geographic regions, providing insights into how technology adoption varies across different industries and African countries.

Africa Countries Covered: Northern Africa: Algeria Bahrain Egypt Libya Mauritania Morocco Sudan Tunisia Sub-Saharan Africa: West Africa: Benin Burkina Faso Cape Verde Ivory Coast (Côte d'Ivoire) Gambia Ghana Guinea Guinea-Bissau Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Central Africa: Angola Cameroon Central African Republic Chad Congo, Republic of the Congo, Democratic Republic of the Equatorial Guinea Gabon São Tomé and Príncipe East Africa: Burundi Comoros Djibouti Eritrea Eswatini (Swaziland) Ethiopia Kenya Lesotho Malawi Mauritius Rwanda Seychelles Somalia Tanzania Uganda Southern Africa: Botswana Lesotho Namibia South Africa Swaziland (Eswatini) Zimbabwe Benefits of the Dataset: Strategic Insights: Businesses can leverage the data to make informed decisions about technology investments, partnerships, and competitive strategies based on a thorough understanding of the technology landscape. Market Analysis: Market analysts can use the data to identify trends, benchmark companies, and assess the technological capabilities of different sectors and regions. Vendor Strategy: Technology vendors can gain insights into the technology stacks and tools being used by potential clients, allowing them to tailor their offerings and sales strategies effectively. Techsalerator’s Business Technographic Data for Africa equips stakeholders with essential information to navigate the complex technological environment of Africa businesses, enabling more strategic and data-driven decisions.

South Africa ZA: Market Capitalization: Listed Domestic Companies: % of GDP data was reported at 352.292 % in 2017. This records an increase from the previous number of 321.650 % for 2016. South Africa ZA: Market Capitalization: Listed Domestic Companies: % of GDP data is updated yearly, averaging 149.823 % from Dec 1975 (Median) to 2017, with 43 observations. The data reached an all-time high of 352.292 % in 2017 and a record low of 53.824 % in 1976. South Africa ZA: Market Capitalization: Listed Domestic Companies: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Comprehensive dataset of 178 Biotechnology companies in South Africa as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 388 Cable companies in South Africa as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

South Africa Number of Listed Companies: JSE: Domestic data was reported at 298.000 Unit in Nov 2018. This records an increase from the previous number of 297.000 Unit for Oct 2018. South Africa Number of Listed Companies: JSE: Domestic data is updated monthly, averaging 358.000 Unit from Sep 2002 (Median) to Nov 2018, with 195 observations. The data reached an all-time high of 463.000 Unit in Sep 2002 and a record low of 296.000 Unit in Mar 2018. South Africa Number of Listed Companies: JSE: Domestic data remains active status in CEIC and is reported by Johannesburg Stock Exchange. The data is categorized under Global Database’s South Africa – Table ZA.Z012: Johannesburg Stock Exchange: Number of Companies.

2021FEBEREC-STD-126

This research data consists of quantitative and qualitative data collected from the construction industry professionals working on megaprojects in South Africa. Qualitative data is in form of words which provides the possible mitigations to the risks affecting the development of construction megaprojects. On the other hand, quantitative data is numerical, it provides answers to closed ended questions which were asked using rating scales.