Johannesburg was the wealthiest city in Africa as of 2021. South Africa's biggest city held *** billion U.S. dollars in private wealth, while Cape Town followed with *** billion U.S. dollars. The country led the ranking of wealthiest nations in Africa. The wealth value referred to assets such as cash, properties, and business interests held by individuals living in each country, less liabilities. Moreover, government funds were excluded.

The price per square meter in a luxury apartment in Cape Town, South Africa, reached ***** U.S. dollars in 2018. It was double of the price measured in Umhlanga, also a city in South Africa, and second in the ranking. The index tracked the square meter price in selected prime apartments, measuring from *** to *** square meters, mainly in exclusive living complexes.

This statistic shows the top 5 African cities in 2014 by number of residing billionaires. In 2014, ** billionaires were living in Lagos, Nigeria.

Addis Ababa, in Ethiopia, ranked as the most expensive city to live in Africa as of 2024, considering consumer goods prices. The Ethiopian capital obtained an index score of ****, followed by Harare, in Zimbabwe, with ****. Morocco and South Africa were the countries with the most representatives among the ** cities with the highest cost of living in Africa.

South Africa concentrated the largest amount of private wealth in Africa as of 2021, some 651 billion U.S. dollars. Egypt, Nigeria, Morocco, and Kenya followed, establishing the five wealthier markets in the continent. The wealth value referred to assets, such as cash, properties, and business interests, held by individuals living in each country, with liabilities discounted. Overall, Africa counted in the same year approximately 136,000 high net worth individuals (HNWIs), each with net assets of one million U.S. dollars or more.

 COVID-19 and wealth constraints  

Africa held 2.1 trillion U.S. dollars of total private wealth in 2021. The amount slightly increased in comparison to the previous year, when the coronavirus (COVID-19) pandemic led to job losses, drops in salaries, and the closure of many local businesses. However, compared to 2011, total private wealth in Africa declined 4.5 percent, constrained by poor performances in Angola, Egypt, and Nigeria. By 2031, however, the private wealth is expected to rise nearly 40 percent in the continent.

 The richest in Africa 

Besides 125 thousand millionaires, Africa counted 6,700 multimillionaires and 305 centimillionaires as of December 2021. Furthermore, there were 21 billionaires in the African continent, each with a wealth of one billion U.S. dollars and more. The richest person in Africa is the Nigerian Aliko Dangote. The billionaire is the founder and chairman of Dangote Cement, the largest cement producer on the whole continent. He also owns salt and sugar manufacturing companies.

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

ZA: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data was reported at 0.165 % in 2010. This records an increase from the previous number of 0.164 % for 2000. ZA: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data is updated yearly, averaging 0.164 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 0.165 % in 2010 and a record low of 0.159 % in 1990. ZA: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population 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: Land Use, Protected Areas and National Wealth. Population below 5m is the percentage of the total population living in areas where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted Average;

In recent years, the African continent has emerged as a hub of growth, progress, and cultural diversity. With 54 recognized sovereign nations, Africa boasts a tapestry of vibrant cultures, breathtaking landscapes, and promising economies. From the vast deserts of the Sahara to the lush rainforests of the Congo Basin, each African nation has a unique story to tell. In this article, we will delve into the diverse and dynamic African nations, shedding light on their rich history, cultural heritage, and economic advancements. Africa, often referred to as the cradle of civilization, is home to some of the oldest human civilizations on Earth. Egypt, with its iconic pyramids and ancient pharaohs, stands as a testament to the continent's remarkable heritage. The Nile River, the lifeblood of ancient Egyptian civilization, continues to be a source of sustenance and culture today. Moving southwards, we encounter nations like Nigeria, the most populous country in Africa, and South Africa, known for its vibrant multicultural society. Nigeria, with its rich cultural tapestry, has produced renowned artists, musicians, and authors who have made significant contributions to the global cultural landscape. South Africa, on the other hand, is celebrated for its remarkable post-apartheid transition, vibrant democracy, and impressive economic growth. Venturing into East Africa, we encounter Ethiopia, often referred to as the "cradle of humanity" due to the discovery of the oldest known human remains in the region. Ethiopia showcases a unique blend of ancient traditions and modern development, with its stunning landscapes, diverse wildlife, and rich historical sites attracting visitors from around the world. In West Africa, Ghana stands as a shining example of political stability and economic progress. Known as the "Gateway to Africa," Ghana has made significant strides in areas such as education, healthcare, and infrastructure, positioning itself as an attractive investment destination. The continent's southern region features nations like Botswana, known for its commitment to wildlife conservation and sustainable tourism. With its vast national parks and awe-inspiring wildlife, Botswana offers visitors a chance to experience Africa's natural wonders firsthand. As we travel across the continent, it becomes evident that Africa's potential for growth and development is immense. From the technological advancements in countries like Rwanda to the agricultural innovations in Kenya, African nations are harnessing their resources and investing in their future. Furthermore, regional collaborations such as the African Union and the African Continental Free Trade Area (AfCFTA) are fostering deeper economic integration and creating new opportunities for trade and investment across the continent. These initiatives aim to unlock Africa's vast potential and promote sustainable development for the benefit of all African nations and their people. In conclusion, the African continent is a mosaic of nations that captivate with their diverse cultures, breathtaking landscapes, and a shared commitment to progress. From the ancient wonders of Egypt to the vibrant democracies of South Africa and Ghana, African nations are forging their paths towards a prosperous future. As the world focuses its attention on Africa's growth story, it is crucial to recognize and celebrate the achievements and potential of each African nation on the continent.

ZA: Urban Land Area Where Elevation is Below 5 Meters: % of Total Land Area data was reported at 0.012 % in 2010. This stayed constant from the previous number of 0.012 % for 2000. ZA: Urban Land Area Where Elevation is Below 5 Meters: % of Total Land Area data is updated yearly, averaging 0.012 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 0.012 % in 2010 and a record low of 0.012 % in 2010. ZA: Urban Land Area Where Elevation is Below 5 Meters: % of Total Land Area 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: Land Use, Protected Areas and National Wealth. Urban land area below 5m is the percentage of total land where the urban land elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted Average;

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

ZA: Terrestrial & Marine Protected Areas: % of Total Territorial Area data was reported at 12.985 % in 2016. This records an increase from the previous number of 10.240 % for 2014. ZA: Terrestrial & Marine Protected Areas: % of Total Territorial Area data is updated yearly, averaging 6.635 % from Dec 1990 (Median) to 2016, with 4 observations. The data reached an all-time high of 12.985 % in 2016 and a record low of 2.580 % in 1990. ZA: Terrestrial & Marine Protected Areas: % of Total Territorial Area 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: Land Use, Protected Areas and National Wealth. Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment. Sites protected under local or provincial law are excluded.; ; United Nations Environmental Program and the World Conservation Monitoring Centre, as compiled by the World Resources Institute, based on data from national authorities, national legislation and international agreements.; Weighted Average;

Total private wealth in Africa decreased by ***** percent from 2011 to 2021. Within individual markets, Mauritius registered the strongest performance, as wealth grew by ** percent in the country over the last decade. On the other hand, Nigeria, Angola, and Egypt had the poorest performances, with private wealth shrinking by over ** percent in the period. The wealth value referred to assets such as cash, properties, and business interests held by individuals living in each country, less liabilities. Government funds were excluded. According to the source, private wealth in Africa is forecast to climb by nearly ** percent by 2031.

Abstract

South African policymakers are endeavouring to ensure that the poor have better access to financial services. However, a lack of understanding of the financial needs of poor households impedes a broad strategy to attend to this need.
The Financial Diaries study addresses this knowledge gap by examining financial management in rural and urban households. The study is a year-long household survey based on fortnightly interviews in Diepsloot (Gauteng), Langa (Western Cape) and Lugangeni (Eastern Cape). In total, 160 households were involved in this pioneering study which promises to offer important insights into how poor people manage their money as well as the context in which poor people make financial decisions. The study paints a rich picture of the texture of financial markets in townships, highlighting the prevalence of informal financial products, the role of survivalist business and the contribution made by social grants. The Financial Diaries dataset includes highly detailed, daily cash flow data on income, expenditure and financial flows on both a household and individual basis.

Geographic coverage

Langa in Cape Town, Diepsloot in Johannesburg and Lugangeni, a rural village in the Eastern Cape

Analysis unit

Units of analysis in the Financial Diaries Study 2003-2004 include households and individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

To create the sampling frame for the Financial Diaries, the researchers echoed the method used in the Rutherford (2002) and Ruthven (2002), a participatory wealth ranking (PWR). Within South Africa, the participatory wealth ranking method is used by the Small Enterprise Foundation (SEF), a prominent NGO microlender based in the rural Limpopo Province. Simanowitz (1999) compared the PWR method to the Visual Indicator of Poverty (VIP) and found that the VIP test was seen to be at best 70% consistent with the PWR tests. At times one third of the list of households that were defined as the poorest by the VIP test was actually some of the richest according to the PWR. The PWR method was also implicitly assessed in van der Ruit, May and Roberts (2001) by comparing it to the Principle Components Analysis (PCA) used by CGAP as a means to assess client poverty. They found that three quarters of those defined as poor by the PCA were also defined as poor by the PWR. We closely followed the SEF manual to conduct our wealth rankings, and consulted with SEF on adapting the method to urban areas.

The first step is to consult with community leaders and ask how they would divide their community. Within each type of areas, representative neighbourhoods of about 100 households each were randomly chosen. Townships in South Africa are organised by street - with each street or zone having its own street committee. The street committees are meant to know everyone on their street and to serve as stewards of all activity within the street. Each street committee in each area was invited to a central meeting and asked to map their area and give a roster of household names. Following the mapping, each area was visited and the maps and rosters were checked by going door to door with the street committee.

Two references groups were then selected from the street committee and senior members of the community with between four and eight people in each reference group. Each reference group was first asked to indicate how they define a poor household versus those that are well off. This discussion had a dual purpose. First, it relayed information about what each community believes is rich or poor. Second, it started the reference group thinking about which households belong under which heading.

Following this discussion, each reference group then ranked each household in the neighbourhood according to their perceived wealth. The SEF methodology of wealth ranking is de-normalised in that reference groups are invited to put households into as many different wealth piles as they feel in appropriate. Only households that are known by both reference groups were kept in the sample.

The SEF guidelines were used to assign a score to each household in a particular pile. The scores were created by dividing 100 by the number of piles multiplied by the level of the pile. This means that if the poorest pile was number 1, then every household in the pile was assigned a score of 100, representing 100% poverty. If the wealthiest pile was pile number 6, then every household in that pile received a score of 16.7 and every household in pile 5 received a score of 33.3. An average score for both reference groups was taken for the distribution.

One way of assessing how good the results are is to analyse how consistent the rankings were between the two reference groups. According to the SEF methodology, a result is consistent if the scores between the two reference groups have no more than a 25 points difference. A result is inconsistent if the difference between the scores is between 26 and 50 points while a result is unreliable is the difference between the scores is above 50 points. SEF uses both consistent and inconsistent rankings, as long as they use the average across two reference groups - this would mean that 91% of the sample could be used. However, because only used two reference groups were used, only the consistent household for the final sample selection was considered.

To test this further,the number of times that the reference groups put a household in the exact same category was counted. The extent of agreement at either end of the wealth spectrum between the two reference groups was also assessed. This result would be unbiased by how many categories the reference groups put households into.

Following the example used in India and Bangladesh, the sample was divided into three different wealth categories depending on the household's overall score. Making a distinction between three different categories of wealth allowed the following of a similar ranking of wealth to Bangladesh and India, but also it kept the sample from being over-stratified. A sample of 60 households each was then drawn randomly from each area. To draw the sample based on a proportion representation of each wealth ranking within the population would likely leave the sample lacking in wealthier households of some rankings to draw conclusions. Therefore the researchers drew equally from each ranking.

Mode of data collection

Face-to-face [f2f]

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.

Background: Around 80% of the African population lives in urban areas, and a rapid urbanization is observed in almost all countries. Urban poverty has been linked to several sexual and reproductive health risks, including high levels of unintended pregnancies. We aim to investigate wealth inequalities in demand for family planning satisfied with modern methods (mDFPS) among women living in urban areas from African countries.Methods: We used data from 43 national health surveys carried out since 2010 to assess wealth inequalities in mDFPS. mDFPS and the share of modern contraceptive use were stratified by groups of household wealth. We also assessed the ecological relationship between the proportion of urban population living in informal settlements and both mDFPS and inequalities in coverage.Results: mDFPS among urban women ranged from 27% (95% CI: 23–31%) in Chad to 87% (95% CI: 84–89%) in Eswatini. We found significant inequalities in mDFPS with lower coverage among the poorest women in most countries. In North Africa, inequalities in mDFPS were identified only in Sudan, where coverage ranged between 7% (95% CI: 3–15%) among the poorest and 52% (95% CI: 49–56%) among the wealthiest. The largest gap in the Eastern and Southern African was found in Angola; 6% (95% CI: 3–11%) among the poorest and 46% (95% CI: 41–51%) among the wealthiest. In West and Central Africa, large gaps were found for almost all countries, especially in Central African Republic, where mDFPS was 11% (95% CI: 7–18%) among the poorest and 47% (95% CI: 41–53%) among the wealthiest. Inequalities by type of method were also observed for urban poor, with an overall pattern of lower use of long-acting and permanent methods. Our ecological analyses showed that the higher the proportion of the population living in informal settlements, the lower the mDFPS and the higher the inequalities.Conclusion: Our results rise the need for more focus on the urban-poorer women by public policies and programs. Future interventions developed by national governments and international organizations should consider the interconnection between urbanization, poverty, and reproductive health.

As of January 2023, Aliko Dangote was the richest man in Africa. He had a net worth of around 13.5 billion U.S. dollars and ranked 128th worldwide. From Nigeria, he is the founder and chairman of the Dangote Group, a large conglomerate operating in several sectors including cement and sugar. The South African Johann Rupert and family followed as the second-richest people in Africa, with a net worth of 10.7 billion U.S. dollars.

Dangote Group continues to expand

Founded in 1981, the Dangote Group (Dangote Industries Limited) is among the largest conglomerates in Africa. Its main subsidiary, Dangote Cement Plc, is the main cement manufacturer on the African continent. The business went public in 2010 and is the largest company listed on the Nigerian Stock Exchange. In addition to the cement industry, the Group also manufactures and processes food products, such as sugar, flour, and salt. With Nigeria being the leading African country for oil production, Dangote expanded his business into the oil industry in recent years. For this purpose, the Group built Africa’s biggest oil refinery near Lagos, Nigeria.

Africa’s wealthiest countries

Wealth in Africa is concentrated in a few countries and, within those, in a few families. Counting the highest numbers of billionaires, South Africa, Egypt, and Nigeria are the wealthiest nations, having also the largest gross domestic products (GDPs) in Africa. These countries count the highest number of high-net-worth individuals (HNWIs), which amounts to over 39,000 in South Africa. Not surprisingly, Johannesburg and Cape Town have the highest concentration of private wealth in Africa. Moreover, South Africa has the highest wealth per capita after Mauritius.

South Africa ZA: Forest Area data was reported at 92,410.000 sq km in 2015. This stayed constant from the previous number of 92,410.000 sq km for 2014. South Africa ZA: Forest Area data is updated yearly, averaging 92,410.000 sq km from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 92,410.000 sq km in 2015 and a record low of 92,410.000 sq km in 2015. South Africa ZA: Forest Area 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: Land Use, Protected Areas and National Wealth. Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.; ; Food and Agriculture Organization, electronic files and web site.; Sum;

ZA: Agricultural Land data was reported at 968,410.000 sq km in 2015. This stayed constant from the previous number of 968,410.000 sq km for 2014. ZA: Agricultural Land data is updated yearly, averaging 964,730.000 sq km from Dec 1961 (Median) to 2015, with 55 observations. The data reached an all-time high of 1,013,350.000 sq km in 1961 and a record low of 940,330.000 sq km in 1985. ZA: Agricultural Land 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: Land Use, Protected Areas and National Wealth. Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.; ; Food and Agriculture Organization, electronic files and web site.; Sum;

Distribution of wealth index among reproductive age women in five SSA countries from their latest DHS.

Model comparison and random effect analysis for delayed motherhood among women of reproductive age in five Sub-Saharan Africa countries.