Johannesburg was the wealthiest city in Africa as of 2021. South Africa's biggest city held 239 billion U.S. dollars in private wealth, while Cape Town followed with 131 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.

This statistic shows the top 5 African cities in 2014 by number of residing billionaires. In 2014, 10 billionaires were living in Lagos, Nigeria.

The price per square meter in a luxury apartment in Cape Town, South Africa, reached 5,600 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 200 to 400 square meters, mainly in exclusive living complexes.

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

Households and individuals

Universe

The survey covered households in the three geographic areas.

Kind of data

Sample survey data

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]

Abstract

The Coronavirus Rapid Mobile Survey of Maternal and Child Health (CRAM-MATCH) was a rapid SMS (Short Message Service) survey conducted in South Africa conducted among pregnant women and mothers registered with the MomConnect mhealth platform in South Africa. This national survey was conducted in June (n=3140) with a follow up in July (n=2287). The survey collected data from pregnant women and new mothers in South Africa on how the Coronavirus pandemic has affected their health including their access to health care.

Geographic coverage

The survey data is nationally representative

Analysis unit

Individuals

Universe

The survey collected data from pregnant women and new mothers in South Africa.

Kind of data

Sample survey data

Sampling procedure

The sample was drawn from the Momconnect mhealth platform created by the South African National Department of Health (NDOH) in 2014. MomConnect is a mobile health (mHealth) solution created to improve and promote maternal health services in South Africa by providing pregnant mothers with free messaging facility and a helpdesk. The mobile health application also created a national pregnancy registry which has excellent coverage of pregnant women and new mothers. By 2017 more than half of the women attending public sector antenatal care services in South Africa were registered on the Momconnect platform. By 2019 there were over 2 million registered MomConnect users.

A self-weighted sample of 15 000 pregnant women and mothers with children under 12 months was drawn from the database of MomConnect users. The sample was stratified based on province, gestational age or age of their baby and their type of phone. The 15 000 women all received an invitation to join the SMS survey on the afternoon of 24 June 2020. They could respond by SMS with "JOIN" to participate in the survey, by SMSing "STOP" to not participate or to reply with "MORE" if they needed more information. Those who participated in the survey received R10 in airtime. The wave 1 survey was completed on June 30, 2020. The wave 2 survey invitation was sent on the 2nd of July 2020 and the survey ended on the 5th of July 2020.

Poverty Quintiles Two sets of poverty quintiles were created for respondents by constructing poverty quintiles for primary care public health facilities. The first poverty quintile measures the wealth quintile of the small area place where the facility that the respondent last visited is located. The second poverty quintile measures the average wealth quintile of the catchment area that the facility covers. Because of the focus on access to primary care and because the Momconnect moms' registrations are at their local primary care facility, only data related to public sector primary care facilities was extracted from the government database of facilities (clinics, community health centres and community day centres).

The richest 15% of areas was also excluded since these individuals are unlikely to make use of public facilities. This implies that the 'wealthiest' quintile only represents the wealthiest of the 85% poorest South Africans. Each small area place in Census was then linked to their closest public primary care facility, using the GIS codes in both the Census and the national facility database to create a catchment area for each facility.Poverty quintiles were created by deriving a measure of living standards and wealth measures via Principal Component Analysis (PCA), using data on employment status, education level, earnings, household size, and cell phone and car ownership of the residents of the area collected during the 2011 census. PCA was used to calculate wealth scores and these were aggregated over the entire catchment area, weighted by the population size of each Small Area place in the Census 2011. The sample of respondents was matched to these poverty quintiles via the Momconnect facility identifier, which captures the facility where the mother was registered.

Mode of data collection

Mobile Phone [mp]

Research instrument

Two questionnaires were used, one for the Wave 1 Survey and another for the Wave 2 Survey.

Response rate

Assuming a response rate of 20%, from the targeted sample of 15 000 women, the project aimed to achieve a survey sample of 3000 and realised a sample of 3140 for wave 1 and thus had an effective response rate of 21%. Of the 3140 individuals who responded to wave 1, 2287 also responded in wave 2. The attrition rate between wave 1 and wave 2 was thus about 27%.

Seychelles had the largest Gross Domestic Product (GDP) per capita in Africa as of 2024. The value amounted to 21,630 U.S. dollars. Mauritius followed with around 12,330 U.S. dollars, whereas Gabon registered 8,840 U.S. dollars. GDP per capita is calculated by dividing a country’s GDP by its population, meaning that some of the largest economies are not ranked within the leading ten. Impact of COVID-19 on North Africa’s GDP When looking at the GDP growth rate in Africa in 2024, Libya had the largest estimated growth in Northern Africa, a value of 7.8 percent compared to the previous year. Niger and Senegal were at the top of the list with rates of 10.4 percent and 8.3 percent, respectively. During the COVID-19 pandemic, the impact on the economy was severe. The growth of the North African real GDP was estimated at minus 1.1 percent in 2020. However, estimations for 2022 looked much brighter, as it was set that the region would see a GDP growth of six percent, compared to four percent in 2021.
Contribution of Tourism Various countries in Africa are dependent on tourism, contributing to the economy. In 2023, travel and tourism were estimated to contribute 182.6 billion U.S. dollars, a clear increase from 96.5 in 2020 following COVID-19. As of 2024, South Africa, Mauritius, and Egypt led tourism in the continent according to the Travel & Tourism Development Index.

As of June 2022, Nassef Sawiris, with a net worth of 7.3 billion U.S. dollars, is the richest man in Egypt, fourth richest in the African continent, and ranked 292 in the world. His sibling Naguib Sawiris ranked second, with a net worth of 3.4 billion U.S. dollars. Their father, Onsi Sawiris, who passed away in June 2021, founded Orascom Construction PLC, which he then passed on to his son Nassef. Four other Egyptian billionaires followed, with three of them belonging to the same family; Mansour. They have a combined net worth of 5.1 billion U.S. dollars. Furthermore, their family business, Mansour group, works in several industries, mainly the automotive industry. It is a General Motors dealer and owns several other franchises.

Orascom in the market since 1950

Born in a Coptic family in the South of Egypt (Upper Egypt), Onsi Sawiris started his construction career in 1950. Soon after, the president of Egypt, Gamal Abdel Nasser assumed power nationalizing the company 10 years later and preventing him from leaving the country for a few years. He was later allowed to leave for Libya returning in President Anwar Sadat’s time in office, establishing Orascom Onsi Sawiris & Co. In 1995, the company was transferred to his son Nassef. As of the fiscal year ending 2020, the total revenue of Orascom construction reached 3.37 billion U.S. dollars with an increment of 5.87 percent year-on-year.

Concentrated wealth in the continent

Among the 20 wealthiest individuals in the African continent, 14 were from Nigeria, Egypt, and South Africa. The wealthiest individual in Africa was the Nigerian Aliko Dangote of the Dangote Group. He was followed by Nicky Oppenheimer and his family and Johann Rupert and his family who were from South Africa. Nassef Sawiris, from Egypt, ranked fourth. This followed the same ranking in terms of the countries with the largest Gross Domestic Product (GDP) in the continent. Furthermore, by reviewing the overall private wealth in Africa, Johannesburg, Cape Town, Cairo, and Lagos rank among the cities with the highest private wealth.

In the African region, the most valuable football team as of the 2023/2024 season was the Egyptian El Ahly, with a market value of 30.5 million euros. El Ahly was established in 1907, and since then it managed to be the most decorated club in Egypt and held the record as the team with the highest Confederation of African Football (CAF) champions league titles. The South African Mamelodi Sundowns FC followed closely with a value of 29.15 million euros. Another Egyptian and South African team followed, namely Pyramids FC and Orlando Pirates, with a market value of 21.73 million and 19.55 million euros, respectively. Furthermore, Zamalek SC ranked fifth with a market value of nearly 19.23 million euros.

Al-Ahly of Egypt dominate the CAF Champions League  

The 2022/2023 CAF Champions League kicked off on September 10 with the first preliminary round. The second preliminary round follows. There, ten teams exempted from the first round compete with the winners to reach the group stage. This is followed by two legs (Home and Away) of quarterfinals, semi-finals, and then a final. The final matches were on June 04, and June 11, 2023, between the defending champions Wydad Casablanca and Al-Ahly. The Egyptian team managed to deprive Wydad Casablanca of securing its fourth title and second consecutive title. Moreover, TP Mazembe and El Zamalek SC managed to win the CAF Champions League title five times each.

Large market value discrepancies from European leagues  

A large discrepancy can be easily recognized between African clubs and European clubs. In fact, the market value of the most valuable attacker and player in the Confederation of African Football , Victor Osimhen, stands at 120 million euros which is already higher than the market value of the most valuable club on the continent. Manchester City FC, the most valuable European football club had a market value of around 1.39 billion euros, while Arsenal followed with close to 1.32 billion euros as of June 2023.

19 of the 20 countries with the lowest estimated GDP per capita in the world in 2024 are located in Sub-Saharan Africa. South Sudan is believed to have a GDP per capita of just 351.02 U.S. dollars - for reference, Luxembourg has the highest GDP per capita in the world, at almost 130,000 U.S. dollars, which is around 400 times larger than that of Burundi (U.S. GDP per capita is over 250 times higher than Burundi's). Poverty in Sub-Saharan Africa Many parts of Sub-Saharan Africa have been among the most impoverished in the world for over a century, due to lacking nutritional and sanitation infrastructures, persistent conflict, and political instability. These issues are also being exacerbated by climate change, where African nations are some of the most vulnerable in the world, as well as the population boom that will place over the 21st century. Of course, the entire population of Sub-Saharan Africa does not live in poverty, and countries in the southern part of the continent, as well as oil-producing states around the Gulf of Guinea, do have some pockets of significant wealth (especially in urban areas). However, while GDP per capita may be higher in these countries, wealth distribution is often very skewed, and GDP per capita figures are not representative of average living standards across the population. Outside of Africa Yemen is the only country outside of Africa to feature on the list, due to decades of civil war and instability. Yemen lags very far behind some of its neighboring Arab states, some of whom rank among the richest in the world due to their much larger energy sectors. Additionally, the IMF does not make estimates for Afghanistan, which would also likely feature on this list.

This statistic shows the top ten largest municipalities in South Africa as of 2016. Johannesburg had the largest population of South African municipalities in 2016, with nearly 5 million inhabitants.