This statistic shows the distribution of the gross domestic product (GDP) across economic sectors in South Africa from 2013 to 2023. In 2023, agriculture had contributed around 2.62 percent to the GDP of South Africa, whereas industry and services had contributed 24.62 and 62.61 percent of the total value added, respectively.

The statistic shows the distribution of employment in South Africa by economic sector from 2013 to 2023. In 2023, 18.79 percent of the employees in South Africa were active in the agricultural sector, 17.69 percent in industry and 63.51 percent in the service sector.

South Africa ZA: GDP: Growth: Gross Value Added: Industry: Manufacturing data was reported at -0.150 % in 2017. This records a decrease from the previous number of 0.909 % for 2016. South Africa ZA: GDP: Growth: Gross Value Added: Industry: Manufacturing data is updated yearly, averaging 3.159 % from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 15.797 % in 1964 and a record low of -10.627 % in 2009. South Africa ZA: GDP: Growth: Gross Value Added: Industry: Manufacturing 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: Gross Domestic Product: Annual Growth Rate. Annual growth rate for manufacturing value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

Claims on other sectors of the domestic economy (annual growth as % of broad money) in South Africa was reported at 5.0274 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Claims on other sectors of the domestic economy (annual growth as % of broad money) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Graph and download economic data for Infra-Annual Labor Statistics: Employment: Economic Activity: Industry (Including Construction): Total for South Africa (LFEAICTTZAA647N) from 2000 to 2024 about South Africa, construction, employment, and industry.

South Africa ZA: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 24.428 % in 2015. This stayed constant from the previous number of 24.428 % for 2014. South Africa ZA: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 25.186 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 31.751 % in 1995 and a record low of 23.557 % in 2008. South Africa ZA: GDP: % of Manufacturing: Medium and High Tech Industry 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: Gross Domestic Product: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing; ; United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database; ;

This data set contains data on the R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and province. R&D personnel data is also included. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. Response rate = 100 x [Responses / (Responses + Non-responses - Out-of-scopes)], where non-responses include refusals and out-of-scopes include closed down, non-R&D performer, return to sender, untraceable, etc. Business sector response rate = 100 x [280/(280 + 187 - 32)] = 64.4% Not-for-profit sector response rate = 100 x [34/(34 + 20 - 4)] = 68.0% Government sector response rate = 100 x [42/(42 + 26 - 8)] = 70.0% Science Councils sector response rate = 100 x [11/(11 + 0 - 0)] = 100.0% Higher Education sector (Public) response rate = 100 x [20/(20 + 6 - 0)] = 76.9% Higher Education sector (Private) response rate = 100 x [5/(5+ 1 - 0)] =83.3% Overall survey response rate = 100 x [392/(392 + 240 - 44)] = 66.7%

Graph and download economic data for Claims on Private Sector for South Africa (ZAFFDSAOPPCPPPT) from 2003 to 2024 about South Africa, REO, credits, sector, private, and rate.

In 2023, the agriculture, forestry, and fishing industry in South Africa contributed an added value of nearly ***** billion South African Rand (roughly **** billion U.S. dollars) to the country's Gross Domestic Product (GDP). This presents an decrease from the previous year, when it reached approximately ***** billion Rand (around **** billion U.S. dollars).

Graph and download economic data for Total Credit to Private Non-Financial Sector, Adjusted for Breaks, for South Africa (QZAPAM770A) from Q1 1965 to Q1 2025 about South Africa, adjusted, credits, nonfinancial, sector, and private.

Description: This data set contains data on the R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and province. R&D personnel data is also included. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. Abstract: The National Survey of Research and Experimental Development (R&D) Survey collects data under strict confidentiality. Aggregate data are used primarily to inform policy and strategic planning at a national level.

The National R&D Survey 2015/16 collected primary data from five survey sectors:

Business sector which consists of companies, business associations and state owned enterprises.

Government sector includes national and provincial departments, research institutes and museums.

Higher Education Institutions sector is made up of universities, universities of technology and private higher education institutions. Some limited supplementary data from HEMIS was used in this sector.

Not-for-Profit Organisations (NPO) sector.

Science Councils sector.

Some general organisational information was collected. The survey however focused on Human Resources and Financial data relating to in-house R&D conducted on the national territory of South Africa.

In-house R&D personnel categories included:

Researchers

Technicians directly supporting R&D

Other personnel directly supporting R&D

Qualifications, gender and race

Full-time-equivalents (FTE) on R&D

In-house R&D expenditure categories included:

Capital expenditure, labour costs and other current expenditure.

Type of R&D (basic research, strategic basic research, applied research and experimental development)

Provincial location

Sources of funds

Research fields (fields of science)

Socio-Economic Objective

Industry of R&D (Business sector only)

South Africa ZA: GDP: Gross Value Added at Factor Cost: Industry: Manufacturing data was reported at 551,621.223 ZAR mn in 2017. This records an increase from the previous number of 523,785.335 ZAR mn for 2016. South Africa ZA: GDP: Gross Value Added at Factor Cost: Industry: Manufacturing data is updated yearly, averaging 50,493.000 ZAR mn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 551,621.223 ZAR mn in 2017 and a record low of 1,040.000 ZAR mn in 1960. South Africa ZA: GDP: Gross Value Added at Factor Cost: Industry: Manufacturing 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: Gross Domestic Product: Nominal. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; ; Note: Data for OECD countries are based on ISIC, revision 4.

As of 2022, the real GDP growth rate in Africa was estimated at 3.7 percent, decreasing compared to the previous year when it stood at 4.8 percent. Africa's real GDP is projected to keep a stable and constant growth trend between 2023 and 2027.

Negative impact of COVID-19

Starting in 2020, the spread of the coronavirus (COVID-19) caused economic stagnation and recession in most world regions. Economies on the African continent were also negatively affected, as the health crisis determined disruptions across all economic sectors. In 2020, Africa’s real GDP dropped to minus 1.8 percent, an exceptional negative growth rate registered on the continent. Southern Africa was the most affected region, followed by Central and Western Africa, respectively.

Forecast economic growth in Africa

In 2021 and 2022, Africa’s economy showed signs of recovery after the COVID-19 crisis. Growth was expected to continue in the following years, with the total GDP increasing from around three trillion U.S. dollars in 2020 to four trillion U.S. dollars in 2027. The African economy was set to grow at a rapid pace, especially compared to other world regions. By 2027, Sub-Saharan Africa’s GDP is estimated to record a growth rate of over four percent, while the European Union’s economy would expand by less than two percent.

Description: This data set contains data on the R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and province. R&D personnel data is also included. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. Abstract: The National Survey of Research and Experimental Development (R&D) Survey collects data under strict confidentiality. Aggregate data are used primarily to inform policy and strategic planning at a national level. The National R&D Survey 2016/17 collected primary data from five survey sectors: Business sector which consists of companies, business associations and state owned enterprises. Government sector includes national and provincial departments, research institutes and museums. Higher Education Institutions sector is made up of universities, universities of technology and private higher education institutions. Some limited supplementary data from HEMIS was used in this sector. Not-for-Profit Organisations (NPO) sector. Science Councils sector. Some general organisational information was collected. The survey however focused on Human Resources and Financial data relating to in-house R&D conducted on the national territory of South Africa. In-house R&D personnel categories included: Researchers Technicians directly supporting R&D Other personnel directly supporting R&D Qualifications, gender and race Full-time-equivalents (FTE) on R&D In-house R&D expenditure categories included: Capital expenditure, labour costs and other current expenditure. Type of R&D (basic research, strategic basic research, applied research and experimental development) Provincial location Sources of funds Research fields (fields of science) Socio-Economic Objective Industry of R&D (Business sector only) The key users of the data and findings include government departments, especially DST and the OECD who use survey indicators in their annual time-series publication on Main Science and Technology Indicators (MSTI). Ad hoc requests for data are also accommodated and inform academic papers, reports and other outputs. Email survey Face-to-face interview Postal survey Telephone interview The universe of R&D performers was divided into the following five sectors as per the Survey Report 2001/2 dated September 2004: Business enterprises (BUS): The business sector of large, medium and small enterprises, including state-owned companies. Government (GOV): All government departments with an R&D component, government research institutes and museums. Higher education institutions (HEI): Higher education institutions, namely the 21 universities (and academic hospitals) and 15 technikons. Not-for-profit (NPO): Non-governmental and other organisations formally registered as not-for-profit institutions. Science councils (SCI): the eight science research councils, plus the Africa Institute of South Africa, as established through their individual Acts of Parliament The sampling method of each sector is briefly outlined below: Business Sector: a purposive sampling procedure was employed whereby all known and likely R&D performers were targeted. Government Sector: was surveyed using a census approach. All national and provincial government departments, research institutions and museums performing R&D were included. Higher Education Sector: institutions, namely universities and universities of technology were included through a census survey. Not-for-Profit Organisations (NPO) Sector: a purposive sampling procedure was employed whereby all known and likely R&D performers were targeted. Science Councils Sector: were surveyed using a census approach. Response rate = 100 x [Responses / (Responses + Non-responses - Out-of-scopes)], where non-responses include refusals and out-of-scopes include closed down, non-R&D performer, return to sender, untraceable, etc. Business sector response rate = 100 x [308/(308 + 232 - 122)] = 73.7% Not-for-profit sector response rate = 100 x [40/(40 + 33 - 9)] = 62.7% Government sector response rate = 100 x [49/(49 + 55 - 4)] = 49.0% Science Councils sector response rate = 100 x [13/(13 + 0 - 0)] = 100.0% Higher Education sector (Public) response rate = 100 x [17/(17 + 7 - 0)] = 70.8% Higher Education sector (Private) response rate = 100 x [6/(6 + 3 - 0)] = 66.7% Overall survey response rate = 100 x [433/(433 + 330 - 135)] = 68.9%

Actual value and historical data chart for South Africa Gross Fixed Capital Formation Private Sector Percent Of GDP

South Africa ZA: Claims on Other Sectors of The Domestic Economy: % of GDP data was reported at 156.541 % in 2016. This records a decrease from the previous number of 159.709 % for 2015. South Africa ZA: Claims on Other Sectors of The Domestic Economy: % of GDP data is updated yearly, averaging 158.125 % from Dec 2001 (Median) to 2016, with 16 observations. The data reached an all-time high of 176.209 % in 2007 and a record low of 120.634 % in 2002. South Africa ZA: Claims on Other Sectors of The Domestic Economy: % 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: Bank Loans. Claims on other sectors of the domestic economy (IFS line 52S or 32S) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds.; ; International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.; Weighted average;

Graph and download economic data for National Accounts: GDP by Expenditure: Current Prices: Exports of Goods and Services for South Africa (ZAFEXPORTQDSMEI) from Q1 1993 to Q3 2023 about South Africa, exports, goods, and services.

Industrial Production in South Africa increased 0.30 percent in September of 2025 over the same month in the previous year. This dataset provides - South Africa Industrial Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for International Trade: Ratio: Exports to Imports: Total for South Africa (XTEITT01ZAM156N) from Jan 1960 to Nov 2023 about South Africa, ratio, imports, trade, and exports.

The graphs depict Gauteng province population, economic sectors contribution and the local municipalities as well as data interpretation and analysis of the research findings. The integrated performance and accountability framework seeks to clarify how accountability will take place within and by municipalities. The clarity of accountability includes developing delegations of authority, well-documented processes and establish the necessary structures and mechanisms of accountability. These figures describe lessons from international countries such as China, the UK, Australia, New Zealand, Ghana on the local government performance and accountability structures and also provides the conceptualisation of the performance and accountability process of South African municipalities.