This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for GDP ANNUAL GROWTH RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In 2025, Luxembourg was the country with the highest gross domestic product per capita in the world. Of the 20 listed countries, 13 are in Europe and five are in Asia, alongside the U.S. and Australia. There are no African or Latin American countries among the top 20. Correlation with high living standards While GDP is a useful indicator for measuring the size or strength of an economy, GDP per capita is much more reflective of living standards. For example, when compared to life expectancy or indices such as the Human Development Index or the World Happiness Report, there is a strong overlap - 14 of the 20 countries on this list are also ranked among the 20 happiest countries in 2024, and all 20 have "very high" HDIs. Misleading metrics? GDP per capita figures, however, can be misleading, and to paint a fuller picture of a country's living standards then one must look at multiple metrics. GDP per capita figures can be skewed by inequalities in wealth distribution, and in countries such as those in the Middle East, a relatively large share of the population lives in poverty while a smaller number live affluent lifestyles.

Africa has been known to experience series of problems among which are poverty, food insecurity, lack of access to energy, lack of infrastructure among others. These problems were exacerbated by the COVID-19 pandemic, which has had a severe impact on the socioeconomic status of households in Africa. This paper examines the relationship between socioeconomic shocks, social protection, and household food security during the pandemic in Nigeria, the Africa’s largest economy. Using the World Bank’s COVID-19 national longitudinal baseline phone survey (2020) for the analysis and applied the multinomial logit regression, the study finds that socioeconomic shocks resulting from the pandemic have led to an increased level of food insecurity. Social protection programmes have played a crucial role in mitigating the impact of these shocks on households. However, the study also highlights the need for more targeted and effective social protection policies to ensure that vulnerable households are adequately protected from the adverse effects of the pandemic. The findings of this study have important implications for policymakers and stakeholders in Africa’s largest economy, as they seek to address the challenges posed by the pandemic and promote household food security for the actualisation the United Nations (UN) Sustainable Development Goal (SDG) of food and nutrition security (SDG2). The study, therefore, recommends that efforts be made to preserve food supply chains by mitigating the pandemic’s effect on food systems, increasing food production, and looking forward beyond the pandemic by building resilient food systems with the use of social protection interventions.

2014 baseline index data for assessment of African cities' inclusive urbanisation. This data set is the base data for the instrument described in the paper ‘A comparative measure of inclusive urbanisation in the cities of Africa’. The resultant index assesses, ranks and compares the potential for inclusive urbanisation of Africa’s leading cities in a scale that also allows for global comparison. The statistical processes underpinning the instrument were developed in the format described in the Appendix from 2013 onwards in studies that have varied in size, focus and source data. The parameters of the instrument have been defined to yield insights for investment, policy and theoretical development; be sufficiently flexible to include dominant cities across African states; allow comparison within and beyond Africa; incorporate indicators that reflect the span of inclusive urbanisation; and identify trends rather than the conditions that prevail at one time. The diagnostic instrument was developed to advance the theoretical specification of inclusive urbanisation in the African context, to identify promising policy interventions, and also to shed light on cities’ investment potential because demonstrable inclusive urbanisation attracts and rewards investment. The instrument and the data included in this spreadsheet are used as the baseline for comparison with three dimensions of ‘achieved inclusive urbanisation’ five years later, with the process and outcome of comparison described in the associated article.

Under current climate policies, Sudan would face a GDP loss of ** percent by 2050 and a shrinkage of over ** percent by 2100 due to climate change. According to the source's estimates, this would be the most significant loss among all assessed countries in Africa. Even in a scenario of limiting temperatures to *** degrees Celsius, the damage to Sudan's economy would stand at a GDP reduction of ** percent by 2050 and ** percent by 2100. Eight out of 10 countries estimated to record the largest GDP reduction because of climate change globally were located in Africa. The estimates did not consider potential adaptation measures to alleviate the economic loss.

In 2023, services were the main economic sector in Sub-Saharan Africa, contributing almost ** percent to the GDP. Industries made up the second-leading sector, with a GDP contribution of approximately ** percent. Some ** percent of Sub-Saharan Africa's economy was, on the other hand, represented by agricultural activities.

This dataset provides values for LEADING ECONOMIC INDEX.ACCEDIDO reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

South Africa Composite Leading Index: sa: 2000=100: Trading Partner Countries: Others data was reported at 120.300 2000=100 in Dec 2012. This records an increase from the previous number of 119.000 2000=100 for Nov 2012. South Africa Composite Leading Index: sa: 2000=100: Trading Partner Countries: Others data is updated monthly, averaging 68.750 2000=100 from Jan 1960 (Median) to Dec 2012, with 636 observations. The data reached an all-time high of 120.300 2000=100 in Dec 2012 and a record low of 37.600 2000=100 in Jan 1960. South Africa Composite Leading Index: sa: 2000=100: Trading Partner Countries: Others data remains active status in CEIC and is reported by South African Reserve Bank. The data is categorized under Global Database’s South Africa – Table ZA.S003: Composite Business Cycle Indicators: Seasonally Adjusted. Rebased from 2000=100 to 2010=100 Replacement series ID: 356229002

As of 2023, Niger registered the agricultural sector's highest contribution to the GDP in Africa, at over ** percent. Comoros and Ethiopia followed, with agriculture, forestry, and fishing accounting for approximately ** percent and ** percent of the GDP, respectively. On the other hand, Botswana, Djibouti, Libya, Zambia, and South Africa were the African countries with the lowest percentage of the GDP generated by the agricultural sector. Agriculture remains a pillar of Africa’s economy Despite the significant variations across countries, agriculture is a key sector in Africa. In 2022, it represented around ** percent of Sub-Saharan Africa’s GDP, growing by over *** percentage points compared to 2011. The agricultural industry also strongly contributes to the continent’s job market. The number of people employed in the primary sector in Africa grew from around *** million in 2011 to *** million in 2021. In proportion, agriculture employed approximately ** percent of Africa’s working population in 2021. Agricultural activities attracted a large share of the labor force in Central, East, and West Africa, which registered percentages over the regional average. On the other hand, North Africa recorded the lowest share of employment in agriculture, as the regional economy relies significantly on the industrial and service sectors. Cereals are among the most produced crops Sudan and South Africa are the African countries with the largest agricultural areas. Respectively, they devote around *** million and **** million hectares of land to growing crops. Agricultural production varies significantly across African countries in terms of products and volume. Cereals such as rice, corn, and wheat are among the main crops on the continent, also representing a staple in most countries. The leading cereal producers are Ethiopia, Nigeria, Egypt, and South Africa. Together, they recorded a cereal output of almost *** million metric tons in 2021. Additionally, rice production was concentrated in Nigeria, Egypt, Madagascar, and Tanzania.

EGYPT @ CROCODILE DELIGHT IN BIODIVERSITY HERITAGE SITE OF AFRICA IS AFRICAN SAFARI DELIGHTJewel and Jenita mol Mango plant for this International Day of Biological & Biodiversity on May 22 ,THE KING CROCODILE OF EGYPT LIVED IN THE NILE RIVER BIODIVERSITY SITES EGYPT IS CROCODILE GOD'S OWN COUNTRYEGYPT BIODIVERSITY AND ECOSYSTEM IS MAKING THE COUNTRY A CROCODILE GOD'S OWN COUNTRY, NILE CROCODILE SITES & CROCODILE SPACE ECOSYSTEM IS THE E@ CROCODILE IN THE BIODIVERSITY HERITAGE SITE OF AFRICAN CONTINENT WHERE E IS EGYPT COUNTRYTHE E@ CROCODILE IN THE BIODIVERSITY HERITAGE SITE OF AFRICAN CONTINENT WHERE E IS EGYPT COUNTRY EGYPT IS CROCODILE GOD'S OWN COUNTRY IS THE STORY - E@ CROCODILE IN THE BIODIVERSITY HERITAGE SITE & ECOSYSTEM WHERE E @ IS EGYPT COUNTRYSOBEK CROCODILE THE KING OF NILE RIVER & NILE RIVER THE GIFT OF EGYPT BIODIVERSITY & ECOSYSTEM HAD KOM OMBO TEMPLE, CROCODILE CITY ARISINOEThe NUBIANS , NILOTIC, FELLAH, URBAN People in the Egyptian Community Worshiped Crocodile in the the city of Faiyum in Egypt is known as the "Crocodile City" because it was the center of the ancient Egyptian crocodile god, Sobek. The city is located in the Faiyum Oasis, which was a major center for the worship of Sobek and in temple. The crocodile cult at Fayoum in Egypt, centered around the city of Crocodilopolis (Arsinoe), further emphasizes the cultural importance of these creatures in ancient Egypt. Crocodiles were regarded as sacred beings, with temples and rituals dedicated to their worship . E @ Crocodile Biodiversity & Ecosystem where E is ENTRY OF TWO CROCODILE TRESPASSERS IN CROCODILE TERRITORY The Temple of Kom Ombo in Egypt is known as the Crocodile Temple because it's dedicated to Sobek, the crocodile god. The temple is also dedicated to Haroeris, the falcon god. Crocodile mummies are found in many Egyptian tombs, and were an important part of ancient Egyptian religion and rituals. The mummies were created by crocodile priests who wrapped the crocodiles in the same material and care as human mummies. These ancient crocodile mummies are so well-preserved, they almost look alive. Archaeologists have unearthed the remains of 10 mummified crocodiles from an Egyptian tomb that are so well-preserved, one scientist said it's "like almost a real crocodile just lying there in front of you is making EGYPT BIODIVERSITY AND ECOSYSTEM A CROCODILE GOD'S COUNTRY AND THIS CROCODILE FAMILY WILL OVERCOME HUMANS LIKE THEY HAD OVERCOME DINOSAURS IN FUTURE DEPEND ON THE CONSERVATION & PROTECTION OF CROCODILE NOW DONE BY COUNTRIES ACROSS THE WORLDThe Divine God Animals of Egypt are Sobek, crocodile-headed god of the Nile; Sekhmet, leonine goddess of war; Anubis, jackal god of the underworld; and Hathor, mother goddess with a cow's horns , Bastet was the goddess of protection, pleasure, and the bringer of good health. She had the head of a cat and a slender female body, Seth beast not a animals . Where Sobek was a crocodile-headed god with several important connotations, including his association with the colour green. The worship of Sobek peaked in the Middle Kingdom (c. 2055 -1650 BC), whose name is seen lent to several Twelfth and Thirteenth Dynasty Pharaohs such as Sobeknefru and Sobekhotep I –IV. Nile crocodiles is associated with the sacred and Nile crocodiles and is often represented as a crocodile-headed humanoidSUMMARY- EGYPT IS CROCODILE GOD'S OWN COUNTRY BIODIVERSITY & ECOSYSTEME @ BIODIVERSITY HERITAGE SITE IN AFRICAN CONTINENTTHE E@ CROCODILE IN THE BIODIVERSITY HERITAGE SITE OF AFRICAN CONTINENT WHERE E IS EAST AFRICA THE BEST More International travel to east African safari than the south Africa and west Africa even though Africa is the best for safari Tourist . The National park & animals conservation projects are less in west Africa compared to South Africa and East Africa where the largest number of national parks are in East Africa compared to south Africa and west Africa . In Kenya there is 24 National park , Tanzania there is 22 national parks and in west Africa Zambia there is 21 national park and south Africa there is 20 national parks , in west Africa Ivory coast and Nigeria there is 8 national park each making east Africa the best for safari tourist . In east Africa the infrastructure for tourist is far more better than west and south Africa making east Africa the best as they advertise more than the west . Compared to the land area , the land areas used for conservation is more in east Africa than in west so this make East Africa the best than south and west making East or West East Africa the best where E @Stands for east African tourist safari E @ BIODIVERSITY HERITAGE SITE IN AFRICAN CONTINENT WHERE E IS EAST AFRICAN NILE CROCODILE E @ BIODIVERSITY HERITAGE SITE IN AFRICAN CONTINENT WHERE E IS EAST AFRICAN NILE CROCODILE & SOBEKSPACE ECOSYSTEM & DATABASE TECHNOLOGY ANALYSE AFRICA BIODIVERSITY BY THE E @ NILE CROCODILE HABITAT & THE E @ BIODIVERSITY HERITAGE SITEEGYPT CROCODILE GOD'S OWN COUNTRY BIODIVERSITY & ECOSYSTEMRESEARCHING SPACE ECOSYSTEM FOR E @ BIODIVERSITY HERITAGE SITE (BHS) FOR E @ CROCODILE DIVERSITY , E @ HABITAT DIVERSITY & E @ ECOSYSTEM DIVERSITY IN AFRICA. THE SUSTAINABLE DEVELOPMENT OF SPACE ECOSYSTEM FOR SPACE DATABASE AND TECHNOLOGY WILL DEVELOP THE E @ AFRICAN BIODIVERSITY DATA BASE THAT MONITORS & CONTROL THE E @ BIODIVERSITY HERITAGE SITE (BHS) FOR E @ CROCODILE DIVERSITY , E @ HABITAT DIVERSITY & E @ ECOSYSTEM DIVERSITY IN AFRICASPACE ECOSYSTEM & SPACE DATABASE TECHNOLOGY DEVELOPING THE E @ BIODIVERSITY HERITAGE SITE IS THE CONVERSION OF AFRICA DIVERSE DIGITAL DATA BASE TO AFRICA SPACIAL BIODIVERSITY DATA BASE ECOSYSTEM . The Conversion of Digital to Spacial Maps connecting the Space Ecosystem is a vision of Future like Vision 2050 Developing African countries from Developing to a Developed Country Achieving sustainable development in the field of Climatic change, Energy for all, Food for all, etc .The conversion will shape up the economy of African countries in large scale cultivation, Cultivation of Bare land, Automated Machinery & technology , Saving large quantity of energy and fuel for the future . The Conversion to Spacial ecosystem 3 D maps will develop remote area of land like forest, water ways, water falls where large number of species inhabitant like crocodile and the conservation and reproduction of the habitat is the main aim of many organization like World Wildlife organization is due to Crocodile are important to the ecosystem The World Wildlife organization had many project and one such is E @ Crocodile in the Biodiversity Heritage site where E @ Stands for Infinite Number of Crocodile Projects as e∞ is equal to infinity in which e is constant considering a crocodile and ∞ is variable considering the project .This is because e is a number greater than 1, and when multiplied by itself an infinite number of times, it results in a number that is extremely large. so E @ Crocodile s infinity e∞ , Absolute infinity Ω ω & Infinity series( Σ ) like Crocodile is the beginning and the end in the book of revelation as Crocodile is the earth for million of years from Dinosaurs period to the ancient world E @ Crocodile Biodiversity & Ecosystem where E is Infinity ProjectsINFINITY OF E @CROCODILE IN THE BHS IS THE BEGINNING & END OF THE THINGS WHERE E IS INFINITY OF CROCODILE PROJECT ALL ALONG AFRICA Secret of Art is Infinity - Aaron’s crocodile eat the Egyptian magicians Pharaoh crocodile" make the God the Great by the Crocodile The theme for World Wildlife Day (WWD) 2024 was "Connecting People and Planet: Exploring Digital Innovation in Wildlife Conservation". The day was celebrated on March 3, 2024 . The theme for World Wildlife Day (WWD) 2025 is "Wildlife Conservation Finance: Investing in People and Planet". The theme emphasizes the importance of investing in wildlife to ensure a resilient future for people and the planet.The March 3 and 4 day highlighted the loss of biodiversity and the need for digital innovation in wildlife conservation and that digital conservation and in future this digital conservation is used for raising funds in the projects in 2025 in the Wildlife Conservation Finance: Investing in People and Planet and E @ Crocodile in the Biodiversity Heritage site in the African continent is given below is the digital conservation of crocodile & Planet for year 2024 and 2025 E @ Crocodile Biodiversity & Ecosystem where E is Electronic governance of Crocodile Site in Egypt & AfricaE @ Crocodile in the Biodiversity heritage site where E @ means electronic governance' of African crocodile site is using information and communication technologies (ICTs) (such as Wide Area Networks, the Internet, and mobile computing) at various levels of the government and the public sector and beyond, for the purpose of enhancing governance.MASSACRED IN CROCODILE ISLANDS RAMREE - INDONESIA WORLD WAR 2 THE ART OF WORLD BIODIVERSITY IS PEACE AND NOT CONFLICT - THE ART OF PEACE IS UNITY & NOT SEPARATION ,THE ART OF WAR IS THE WAR THAT IS LAST RESORT FOR PEACE WHEN DIALOGUE & DIPLOMACY FAIL. WAR IS DESTRUCTION, BIODIVERSITY LOSS IS THE HISTORICAL CROCODILES WAR IN THE MANGROVE SWAMPS OF RAMREE ISLANDS. MY HEART WILL GO ON FOR NILE CROCODILE HABITAT- The Message of My Hear will Go on is the is that - I Know my heart will go on" uses the metaphor of the heart continuing to beat in response to strong emotions, like love or fear convey the idea that Emotions remains strong and persistent, even through challenges and separation when in a crocodile encounter In Wild is fear and when in Swimming with Crocodile In 'Cage of Death' In Australian is fun and joy . "We'll stay forever in many way" & reassures that Human and crocodile bond is unbreakable even in the fear emotion while in a crocodile territory . it is one of hope and resilience in the face of loss and adversity. it is the ability to withstand adversity and bounce back from difficult life

The average for 2022 based on 53 countries was 554.77 million short tons. The highest value was in South Africa: 10905.15 million short tons and the lowest value was in Angola: 0 million short tons. The indicator is available from 2008 to 2023. Below is a chart for all countries where data are available.

The burden of animal disease is widespread globally and is especially severe for developing countries dependent on livestock production. Ethiopia has the largest livestock population in Africa and the second-largest human population on the continent. Ethiopia is one of the fastest-growing economies in Africa; however, much of the population still lives in extreme poverty, and most households depend on agriculture. Animal disease negatively affects domestic livestock production and limits growth potential across the domestic agricultural supply chain. This research investigates the economic effects of livestock disease burden in Ethiopia by employing a computable general equilibrium model in tandem with animal health loss estimates from a compartmental livestock population model. Two scenarios for disease burden are simulated to understand the effects of improved animal health on domestic production, prices, trade, gross domestic product (GDP), and economic welfare in Ethiopia. Results show that improved animal health may increase Ethiopian GDP by up to 3.6%, which improves national welfare by approximately $US 2.5 billion. This research illustrates the economic effects of improved livestock health, which is critical for Ethiopian households and the national economy.

Linking climatic factors, ecosystem properties, biodiversity and ecosystem services (ESS) is critical for projecting future impacts of climate change on ESS. However, it is difficult to quantitatively link these components, in particular at large scales. Here we develop a new, comprehensive framework, incorporating direct and indirect effects of biodiversity and climate, as well as of socio-economic drivers and ecosystem disservices (human diseases) on cultural ESS. We applied our framework to wildlife tourism in Africa and collected climate, ecosystem, large mammal, socio-economic, malaria and tourist data from 64 savannah national parks across 10 countries in eastern and southern Africa. We used Structural Equation Modeling (SEM) to quantitatively test the direct and indirect relationships proposed in our framework between these multiple factors and wildlife tourism. We found significant relationships between climatic factors, large mammal densities and tourist numbers that were also influenced by travel cost, park quality (e.g. road quality, accommodation) and park management, but not by malaria. We found in particular a positive association between biodiversity and wildlife tourism, i.e. tourist numbers increased with large predator densities. We also detected a direct relationship between annual temperature and wildlife tourism. Furthermore, we found an indirect, but weak association between other climatic factors and wildlife tourists mediated via large mammal densities. We conclude that multiple factors influenced wildlife tourism across large spatial scales and a particularly important factor was biodiversity (i.e. charismatic large mammals). The direct and indirect links between climate, large mammals and wildlife tourism imply negative consequences of climate change, in particular of increasing temperatures for biodiversity and ESS provisioning in African savannahs. Our study demonstrates that a comprehensive quantitative understanding of direct and indirect relationships between climate, biodiversity, socio-economic drivers and ESS increases the value and applicability of ESS concepts for decision-making in politics and society.

South African Stock Price Predictions

Welcome to SA Stock Market Data :)

The dataset contains information for the largest 34 companies in South Africa by market cap as well as data for the SA40 Futures.

The Price data (P.csv) is in the format: Close, Open, High, Low, Vol, Change

The Financials data (F.csv) is in the format: Revenue, Cost of Sales, Gross profit, Net Profit, Issue of shares, Share repurchase, Non-current assets, Current assets,
Non-current liabilities, Current liabilities, Net cash inflow/outflow from operating activities

Interest rate data (R.csv) has a single column: rates

Symbol reference:

BTIJ = British American Tobacco PLC

BILJ = BHP Billiton PLC

BGAJ = Barclays Africa Group Ltd

CFRJ = Compagnie Financiere Richemont SA DRC

CCOJ = Capital & Counties Properties PLC

AGLJ = Anglo American PLC

MTNJ = MTN Group Ltd

NPNJn = Naspers Ltd

SOLJ = Sasol Ltd

SBKJ = Standard Bank Group Ltd

VODJ = Vodacom Group Ltd

KIOJ = Kumba Iron Ore Ltd

FSRJ = Firstrand Ltd

OMLJ = Old Mutual PLC

SLMJ = Sanlam Ltd

SHPJ = Shoprite Holdings Ltd

REMJ = Remgro Ltd

NEDJ = Nedbank Group Ltd

APNJ = Aspen Pharmacare Holdings Ltd

BVTJ = The Bidvest Group Ltd

ANGJ = Anglogold Ashanti Ltd

IMPJ = Impala Platinum Holdings Ltd

WHLJ = Woolworths Holdings Ltd

TBSJ = Tiger Brands Ltd

EXXJ = Exxaro Resources Ltd

RMHJ = RMB Holdings Ltd

ITUJ = Intu Properties PLC

GRTJ = Growthpoint Properties Ltd

MNDJ = Mondi Ltd

SNHJ = Steinhoff International Holdings Ltd

INPJ = Investec PLC

LHCJ = Life Healthcare

REIJ = Reinet

DSYJ = Discovery Holdings Ltd

IPLJ = Imperial Holdings Ltd

ARIJ = African Rainbow Minerals Ltd

SA = FTSE/JSE Top 40 Futures

If you are interested in how I put everything together to build a single model you can look at the following Github link, please note this contains a lot of copy-pasta and needs to be simplified with some loops and functions before I put it on Kaggle: https://github.com/Nlabbert/SA-Stock-Market

South Africa RTS: SG: Income: 5 Largest Enterprises data was reported at 21,667.000 ZAR mn in 2015. This records an increase from the previous number of 16,789.000 ZAR mn for 2012. South Africa RTS: SG: Income: 5 Largest Enterprises data is updated yearly, averaging 12,299.000 ZAR mn from Jun 2005 (Median) to 2015, with 4 observations. The data reached an all-time high of 21,667.000 ZAR mn in 2015 and a record low of 4,148.000 ZAR mn in 2005. South Africa RTS: SG: Income: 5 Largest Enterprises 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.H016: Retail Trade Survey: Specialized Stores: Hardware, Paints and Glass.

South Africa RTS: SG: Income Contribution: 10 Largest Enterprises data was reported at 39.200 % in 2015. This records a decrease from the previous number of 41.000 % for 2012. South Africa RTS: SG: Income Contribution: 10 Largest Enterprises data is updated yearly, averaging 36.100 % from Jun 2005 (Median) to 2015, with 4 observations. The data reached an all-time high of 41.000 % in 2012 and a record low of 27.600 % in 2005. South Africa RTS: SG: Income Contribution: 10 Largest Enterprises 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.H016: Retail Trade Survey: Specialized Stores: Hardware, Paints and Glass.

Exports in South Africa increased to 192183 ZAR Million in October from 186394.08 ZAR Million in September of 2025. This dataset provides the latest reported value for - South Africa Exports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Demographic and Health Survey data sets for six sub-Sahara African countries.

South Africa RTS: SG: Income: 20 Largest Enterprises data was reported at 26,142.000 ZAR mn in 2015. This records an increase from the previous number of 19,759.000 ZAR mn for 2012. South Africa RTS: SG: Income: 20 Largest Enterprises data is updated yearly, averaging 15,314.000 ZAR mn from Jun 2005 (Median) to 2015, with 4 observations. The data reached an all-time high of 26,142.000 ZAR mn in 2015 and a record low of 6,274.000 ZAR mn in 2005. South Africa RTS: SG: Income: 20 Largest Enterprises 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.H016: Retail Trade Survey: Specialized Stores: Hardware, Paints and Glass.