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.

In 2024, the manufacturing sector contributed over ***** billion South African rand, some ***** billion U.S. dollars, to South Africa's gross domestic product (GDP). This represents an increase of around **** percent from the previous year.

South Africa: Value added by the manufacturing sector as percent of GDP: The latest value from 2024 is 12.8 percent, a decline from 12.96 percent in 2023. In comparison, the world average is 12.37 percent, based on data from 127 countries. Historically, the average for South Africa from 1960 to 2024 is 19.09 percent. The minimum value, 11.73 percent, was reached in 2020 while the maximum of 24.86 percent was recorded in 1981.

GDP from Manufacturing in South Africa increased to 518417.34 ZAR Million in the third quarter of 2025 from 516645.34 ZAR Million in the second quarter of 2025. This dataset provides the latest reported value for - South Africa Gdp From Manufacturing - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

As of 2019, the manufacturing sector's added value to the Gross Domestic Product (GDP) in South Africa declined *** percent from the previous year. The result reversed an upward trend from 2018, when the sector's added value grew by *** percent.

Actual value and historical data chart for South Africa Manufacturing Value Added Percent Of GDP

South Africa ZA: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data was reported at 11.858 % in 2017. This records a decrease from the previous number of 12.040 % for 2016. South Africa ZA: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data is updated yearly, averaging 19.947 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 22.607 % in 1981 and a record low of 11.601 % in 2013. South Africa ZA: GDP: % of GDP: 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: Share of GDP. 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. Note: For VAB countries, gross value added at factor cost is used as the denominator.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

In 2023, the manufacturing sector contributed *** percent to the value added and gross domestic product (GDP) in South Africa. This represented a slight increase from the previous year, which recorded a negative growth of *** percent.

Industrial Production in South Africa decreased 0.50 percent in September of 2025 over the previous month. This dataset provides - South Africa Industrial Production MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

ZA: Unit Labour Costs: Employment Based: Index: Manufacturing data was reported at 148.870 2015=100 in 2022. This records an increase from the previous number of 138.750 2015=100 for 2021. ZA: Unit Labour Costs: Employment Based: Index: Manufacturing data is updated yearly, averaging 100.000 2015=100 from Dec 2008 (Median) to 2022, with 15 observations. The data reached an all-time high of 148.870 2015=100 in 2022 and a record low of 58.650 2015=100 in 2008. ZA: Unit Labour Costs: Employment Based: Index: Manufacturing data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Africa – Table ZA.OECD.PDB: Unit Labour Costs: by Industry: Non OECD Member: Annual.

South Africa Employment: Labour Force Survey: Manufacturing data was reported at 1,675.276 Person th in Dec 2024. This records an increase from the previous number of 1,634.613 Person th for Sep 2024. South Africa Employment: Labour Force Survey: Manufacturing data is updated quarterly, averaging 1,763.040 Person th from Mar 2008 (Median) to Dec 2024, with 68 observations. The data reached an all-time high of 2,111.300 Person th in Mar 2008 and a record low of 1,316.414 Person th in Dec 2021. South Africa Employment: Labour Force Survey: 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.G009: Employment: by Industry.

The 'Manufacturing Production YoY' in South Africa measures the annual percentage change in the output of the manufacturing sector, reflecting the sector's health and its contribution to the overall economy.-2025-05-08

Overview with Chart & Report: Manufacturing Production y/y reflects a year-over-year change in the monthly output of South African companies from all manufacturing sectors, including mining, production, electricity and gas

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.

Graph and download economic data for Financial Market: Real Effective Exchange Rates: CPI Based for South Africa (CCRETT01ZAA661N) from 1997 to 2024 about South Africa, exchange rate, currency, CPI, manufacturing, real, rate, price index, indexes, and price.

Key information about South Africa Industrial Production Index Growth

• South Africa Industrial production fell 0.9 % YoY in Sep 2025, following a drop of 0.6 % YoY in the previous month.
• South Africa Industrial production index growth rate YoY data is updated monthly, available from Jan 1962 to Sep 2025, with an average rate of 2.9 %.
• The data reached an all-time high of 100.4 % in Apr 2021 and a record low of -53.7 % in Apr 2020.

CEIC calculates Industrial Production Index Growth from monthly Industrial Production Index. Statistics South Africa provides Industrial Production Index with base 2019=100. Industrial Production Index covers Manufacturing sector only. Industrial Production Index Growth prior to January 1999 is calculated from Industrial Production Index with base 2010=100 sourced from the International Monetary Fund.

CO2 emissions from manufacturing industries (%) of South Africa improved by 1.68% from 12.4 % in 2013 to 12.6 % in 2014. Since the 1.46% reduction in 2012, CO2 emissions from manufacturing industries (%) surged by 10.53% in 2014. CO2 emissions from manufacturing industries and construction contains the emissions from combustion of fuels in industry. The IPCC Source/Sink Category 1 A 2 includes these emissions. However, in the 1996 IPCC Guidelines, the IPCC category also includes emissions from industry autoproducers that generate electricity and/or heat. The IEA data are not collected in a way that allows the energy consumption to be split by specific end-use and therefore, autoproducers are shown as a separate item (Unallocated Autoproducers). Manufacturing industries and construction also includes emissions from coke inputs into blast furnaces, which may be reported either in the transformation sector, the industry sector or the separate IPCC Source/Sink Category 2, Industrial Processes.

Abstract

The South Africa Enterprise Survey was conducted between January and December 2007. Data from 1057 establishments in private manufacturing and services sectors were analyzed. The sample included enterprises with more than four employees (937 companies) as well as micro firms, establishments with less than 5 workers, (120 observations). The survey targeted establishments in Johannesburg, Cape Town, Port Elizabeth and Durban.

The objective of the survey is to obtain feedback from enterprises in client countries on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance. The mode of data collection is face-to-face interviews.

Geographic coverage

National

Analysis unit

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

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The South Africa Enterprise Survey 2007 included enterprises with more than four employees as well as micro establishments, firms with less than five workers. There are 120 micro establishments in the sample.

The sample for enterprises with more than four employees was designed using stratified random sampling with strata defined by region, sector and firm size.

Establishments located in Johannesburg, Cape Town, Port Elizabeth and Durban were interviewed.

Following the ISIC (revision 3.1) classification, the following industries were targeted: all manufacturing sectors (group D), construction (group F), retail and wholesale services (subgroups 52 and 51 of group G), hotels and restaurants (group H), transport, storage, and communications (group I), and computer and related activities (sub-group 72 of group K). For establishments with five or more full-time permanent paid employees, this universe was stratified according to the following categories of industry: 1. Manufacturing: Food and Beverages (Group D, sub-group 15), Machinery and Equipment (Group D, sub-group 29), Electrical Machinery and Equipment (Group D, sub-group 31); 2. Manufacturing: Textiles (Group D, sub-group 17), Garment (Group D, sub-group 18), Leather and Footwear (Group D, sub-group 19), Paper and Paper Products (Group D, sub-group 21), Printing and Publishing (Group D, sub-group 22); 3. Manufacturing: Non-Metallic Mineral Products (Group D, sub-group 26), Basic Metals (Group D, sub-group 27), Fabricated Metal Products (Group D, sub-group 28); 4. Manufacturing: Wood and Wood Products (Group D, sub-group 20), Furniture (Group D, sub-group 36) 5. Manufacturing: Refined Petroleum Products (Group D, sub-group 23), Chemical Products (Group D, sub-group 24), Rubber and Plastics (Group D, sub-group 25) 6. Retail Trade: (Group G, sub-group 52); 7. Rest of the universe, including: • Other Manufacturing (Group D excluding sub-groups in strata 1-5); • Construction (Group F); • Wholesale trade (Group G, sub-group 51); • Hotels, bars and restaurants (Group H); • Transportation, storage and communications (Group I); • Computer related activities (Group K, sub-group 72).

Size stratification was defined following the standardized definition used for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers.

The implementing agency (EEC Canada) was unable to obtain a satisfactory sample frame from South African statistical agency (STASA) or its Department of Revenue. The best alternative solution was a list obtained from the Department of Trade and Industry Companies and Intellectual Property Registration Office (CIPRO), which contained about 800000 establishments when delineating in-scope cities and industries, but which had incomplete firm characteristics necessary for stratification purposes (e.g. contact information, size). In order to determine the sample frame, EEC Canada randomly drew 9550 units and contacted them.

In South Africa, the survey included panel data collected from establishments surveyed in the 2003 Investment Climate Survey (ICS) of South Africa. That survey included establishments in the manufacturing and the rest of universe strata, distributed across Gauteng (Johannesburg), KwaZulu Natal (Durban), Western Cape (Cape Town) and Eastern Cape (Port Elizabeth) provinces.

In order to collect the largest possible set of panel data, an attempt was made to contact and survey valid establishments (579) in the panel list provided which was part of the Enterprise Survey's scope. Of the 716 establishments provided to EEC Canada from those surveyed in 2003, there were 35 doubles, 8 out-of-scope, 89 excluded from this survey by The World Bank to avoid over representing Construction in a single Residual stratum, and 5 with undefined ISIC codes. This left a total potential of 579 panel establishments. EEC Canada surveyed 231 panel establishments or 40% of the total potential panels without eliminating those establishments which had closed. Once eliminated, this percentage coverage exceeded 55%. Given the non-random nature of panel establishment selection, these establishments are not allocated probability weights in the final dataset.

In this survey, the micro establishment stratum covers all establishments of the targeted categories of economic activity with less than 5 employees located in Johannesburg. The implementing agency selected an aerial sampling approach to estimate the population of establishments and select the sample in this stratum for all states of the survey.

First, to randomly select individual micro establishments for surveying, the following procedure was followed: i) select districts and specific zones of each district where there was a high concentration of micro establishments; ii) count all micro establishments in these specific zones; iii) based on this count, create a virtual list and select establishments at random from that virtual list; and iv) based on the ratio between the number selected in each specific zone and the total population in that zone, create and apply a skip rule for selecting establishments in that zone.

The districts and the specific zones were selected at first according to local sources. The EEC team then went in the field to verify the sources and to count micro establishments. Once the count for each zone was completed, the numbers were sent back to EEC head office in Montreal.

At the head office, the count by zone was converted into one list of sequential numbers for the whole survey region, and a computer program performed a random selection of the determined number of establishments from the list. Then, based on the number that the computer selected in each specific zone, a skip rule was defined to select micro establishments to survey in that zone. The skip rule for each zone was sent back to the EEC field team.

In Johannesburg, enumerators were sent to each zone with instructions how to apply the skip rule defined for that zone as well as how to select replacements in the event of a refusal or other cause of non-participation.

For complete information about sampling methodology, refusal rate and weighting please review "South Africa Enterprise Survey 2007 Implementation Report" in "Technical Documents" folder.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Core Questionnaire + Manufacturing Module [ISIC Rev.3.1: 15-37] - Core Questionnaire + Retail Module [ISIC Rev.3.1: 52] - Core Questionnaire [ISIC Rev.3.1: 45, 50, 51, 55, 60-64, 72] - Micro

In South Africa Electronic Manufacturing Services (EMS) Market is projected to grow from USD 53.2 billion in 2025 to USD 97.4 billion by 2031, at a CAGR of 10.6%

Abstract

South Africa Investment Climate Survey 2004 was carried out between January and December 2004. Over 800 formal private enterprises were surveyed. 75 percent of the sample was in the manufacturing sector, 14 percent in the construction industry, and the remaining 11 percent in wholesale and retail trade. The dataset described in this study includes only manufacturing establishments (603 observations).

The Investment Climate Surveys (ICS) were conducted by the World Bank and its partners across all geographic regions and covered firms of all sizes in many industries. The ICS collected a wide array of qualitative and quantitative information through face-to-face interviews with managers and owners regarding the investment climate in their country and the productivity of their firms. Topics covered in the ICS included the obstacles to doing business, infrastructure, finance, labor, corruption and regulation, contract enforcement, law and order, innovation and technology, and firm productivity. Taken together, the qualitative and quantitative data helped connect a country’s investment climate characteristics with firm productivity and performance.

Firm-level surveys have been administered since 1998 by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit (FPDEA). Enterprise Surveys, a replacement for Investment Climate Surveys, are now conducted by the Enterprise Analysis Unit.

Geographic coverage

National

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of South African firms was designed as a stratified random sample.

Over 800 firms were surveyed between January and December 2004. About 75 percent (603) of the sample were in the manufacturing sector, 14 percent in the construction industry, and the remaining 11 percent in wholesale and retail trade. Within these broad sectors, firms were randomly selected from lists of firms registered with the South Africa Department of Trade and Industry (only formal registered enterprises are included in the sample). Although the samples should be broadly representative of formal firms within each sector, they are not representative of the entire economy.

The sample included firms from major metropolitan areas in Gauteng (about 63 percent of the sample), Western Cape (23 percent), KwaZulu-Natal (9 percent), and Eastern Cape (5 percent). The sample was mainly composed of small (10-49 employees), medium (50-99 employees), and large (100-499 employees) enterprises, although about 14 percent of the sample were very large (over 500 employees). There were few microenterprises (fewer than 10 employees) in the sample, especially in the manufacturing sector.

Most firms were owned either by corporations or by Caucasian or European individuals and families. Only 5 percent of firms were owned by African or colored individuals or families. The small number of African-owned firms, however, appears to reflect the distribution of formal firms. Previous studies have also found relatively few African-owned firms in these size classes. For example, in a survey of enterprises in Johannesburg in 1999, 97 percent of informal microenterprises were black-owned, but only 7 percent of formal micro, small, and medium enterprises were. This pattern appears to have persisted through 2004.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instrument is available: - Investment Climate Survey Questionnaire.

The survey includes data on firm productivity, cost of doing business, regulatory environment, labor market, financial sector, trade regime, and levels of investment.