This dataset provides values for GDP PER CAPITA PPP0 reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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.

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.

Explore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.

Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings

Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela

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South Africa ZA: GDP: USD: per Capita data was reported at 6,160.735 USD in 2017. This records an increase from the previous number of 5,280.018 USD for 2016. South Africa ZA: GDP: USD: per Capita data is updated yearly, averaging 2,958.750 USD from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7,976.466 USD in 2011 and a record low of 433.941 USD in 1960. South Africa ZA: GDP: USD: per Capita 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: Gross Domestic Product: Nominal. GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;

Central African Republic CF: GDP: Growth:(GDP) Gross Domestic Productper Capita data was reported at -0.194 % in 2023. This records a decrease from the previous number of 0.779 % for 2022. Central African Republic CF: GDP: Growth:(GDP) Gross Domestic Productper Capita data is updated yearly, averaging 0.153 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 9.305 % in 2009 and a record low of -36.825 % in 2013. Central African Republic CF: GDP: Growth:(GDP) Gross Domestic Productper Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual percentage growth rate of GDP per capita based on constant local currency. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

The Gross Domestic Product per capita in South Africa was last recorded at 5708.96 US dollars in 2024. The GDP per Capita in South Africa is equivalent to 45 percent of the world's average. This dataset provides the latest reported value for - South Africa GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Gross Domestic Product per capita (gross domestic product divided by mid-year population converted to international dollars, using purchasing power parity rates) has been identified as an important determinant of susceptibility and vulnerability by different authors and used in the Disaster Risk Index 2004 (Peduzzi et al. 2009, Schneiderbauer 2007, UNDP 2004) and is commonly used as an indicator for a country's economic development (e.g. Human Development Index). Despite some criticisms (Brooks et al. 2005) it is still considered useful to estimate a population's susceptibility to harm, as limited monetary resources are seen as an important factor of vulnerability. However, collection of data on economic variables, especially sub-national income levels, is problematic, due to various shortcomings in the data collection process. Additionally, the informal economy is often excluded from official statistics. Night time lights satellite imagery of NOAA grid provides an alternative means for measuring economic activity. NOAA scientists developed a model for creating a world map of estimated total (formal plus informal) economic activity. Regression models were developed to calibrate the sum of lights to official measures of economic activity at the sub-national level for some target Country and at the national level for other countries of the world, and subsequently regression coefficients were derived. Multiplying the regression coefficients with the sum of lights provided estimates of total economic activity, which were spatially distributed to generate a 30 arc-second map of total economic activity (see Ghosh, T., Powell, R., Elvidge, C. D., Baugh, K. E., Sutton, P. C., & Anderson, S. (2010).Shedding light on the global distribution of economic activity. The Open Geography Journal (3), 148-161). We adjusted the GDP to the total national GDPppp amount as recorded by IMF (International Monetary Fund) for 2010 and we divided it by the population layer from Worldpop Project. Further, we ran a focal statistics analysis to determine mean values within 10 cell (5 arc-minute, about 10 Km) of each grid cell. This had a smoothing effect and represents some of the extended influence of intense economic activity for local people. Finally we apply a mask to remove the area with population below 1 people per square Km.

This dataset has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

Data publication: 2014-06-01

Supplemental Information:

ClimAfrica was an international project funded by European Commission under the 7th Framework Programme (FP7) for the period 2010-2014. The ClimAfrica consortium was formed by 18 institutions, 9 from Europe, 8 from Africa, and the Food and Agriculture Organization of United Nations (FAO).

ClimAfrica was conceived to respond to the urgent international need for the most appropriate and up-to-date tools and methodologies to better understand and predict climate change, assess its impact on African ecosystems and population, and develop the correct adaptation strategies. Africa is probably the most vulnerable continent to climate change and climate variability and shows diverse range of agro-ecological and geographical features. Thus the impacts of climate change can be very high and can greatly differ across the continent, and even within countries.

The project focused on the following specific objectives:

1. Develop improved climate predictions on seasonal to decadal climatic scales, especially relevant to SSA;

2. Assess climate impacts in key sectors of SSA livelihood and economy, especially water resources and agriculture;

3. Evaluate the vulnerability of ecosystems and civil population to inter-annual variations and longer trends (10 years) in climate;

4. Suggest and analyse new suited adaptation strategies, focused on local needs;

5. Develop a new concept of 10 years monitoring and forecasting warning system, useful for food security, risk management and civil protection in SSA;

6. Analyse the economic impacts of climate change on agriculture and water resources in SSA and the cost-effectiveness of potential adaptation measures.

The work of ClimAfrica project was broken down into the following work packages (WPs) closely connected. All the activities described in WP1, WP2, WP3, WP4, WP5 consider the domain of the entire South Sahara Africa region. Only WP6 has a country specific (watershed) spatial scale where models validation and detailed processes analysis are carried out.

Contact points:

Metadata Contact: FAO-Data

Resource Contact: Selvaraju Ramasamy

Resource constraints:

copyright

Online resources:

GDP per capita

Project deliverable D4.1 - Scenarios of major production systems in Africa

Climafrica Website - Climate Change Predictions In Sub-Saharan Africa: Impacts And Adaptations

Central African Republic CF: GDP: Real: per Capita data was reported at 137,361.673 XAF in 2023. This records a decrease from the previous number of 140,159.297 XAF for 2022. Central African Republic CF: GDP: Real: per Capita data is updated yearly, averaging 199,803.520 XAF from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 234,928.615 XAF in 1978 and a record low of 129,965.093 XAF in 2013. Central African Republic CF: GDP: Real: per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Gross Domestic Product: Real. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant local currency.;World Bank national accounts data, and OECD National Accounts data files.;;

Full dataset for replicating the study on e-governance in Africa. All original data can be retrieved from databases of the United Nations: https://publicadministration.un.org/egovkb/Data-Center, and the World Bank: https://databank.worldbank.org/source/world-development-indicators. Abstract E-governance is considered one of the most important factors in delivering and administering public services in modern societies. However, data show that many African countries are currently lagging behind countries in other parts of the world. This manuscript investigates how various factors, including economic prosperity, government effectiveness, and infrastructural support, contribute to the growth and effectiveness of e-governance initiatives in 54 African countries. We specifically analyze the influence of three factors: economic prosperity (measured by GDP per capita), political competence (measured by government effectiveness), and infrastructural or technological support (measured by access to electricity). Panel data covering a 5-year period were retrieved from databases of the United Nations and World Bank, and a multiple linear regression analysis was used to analyze the data. We found that the three factors influenced e-governance to varying degrees. However, while infrastructural support and political competence were statistically significant, economic prosperity was not.

South Africa ZA: GDP: Real: per Capita data was reported at 55,095.976 ZAR in 2017. This records an increase from the previous number of 55,059.324 ZAR for 2016. South Africa ZA: GDP: Real: per Capita data is updated yearly, averaging 44,556.327 ZAR from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 55,520.968 ZAR in 2014 and a record low of 33,149.442 ZAR in 1960. South Africa ZA: GDP: Real: per Capita 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: Gross Domestic Product: Real. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; ;

Central African Republic GDP per Capita: PPP: 2021 Price data was reported at 1,135.136 Intl $ in 2023. This records a decrease from the previous number of 1,137.347 Intl $ for 2022. Central African Republic GDP per Capita: PPP: 2021 Price data is updated yearly, averaging 1,254.850 Intl $ from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 1,577.981 Intl $ in 2012 and a record low of 996.896 Intl $ in 2013. Central African Republic GDP per Capita: PPP: 2021 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2021 international dollars.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Weighted average;

Time series data for the data Real Gross Domestic Product - Components - Current Local Curreny Unit (CLU) for the country South Africa. Indicator Definition:Real Private Sector Final Consumption Expenditure, Unadjusted, Domestic CurrencyThe indicator "Real Private Sector Final Consumption Expenditure, Unadjusted, Domestic Currency" stands at 3.14 Trillion South African Rands as of 3/31/2025, the highest value at least since 6/30/1994, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 1.83 percent compared to the value the year prior.The 1 year change in percent is 1.83.The 3 year change in percent is 3.65.The 5 year change in percent is 3.50.The 10 year change in percent is 13.25.The Serie's long term average value is 2.32 Trillion South African Rands. It's latest available value, on 3/31/2025, is 34.88 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 3/31/1994, to it's latest available value, on 3/31/2025, is +137.26%.The Serie's change in percent from it's maximum value, on 3/31/2025, to it's latest available value, on 3/31/2025, is 0.0%.Indicator Definition:Real General Government Final Consumption Expenditure, Unadjusted, Domestic CurrencyThe indicator "Real General Government Final Consumption Expenditure, Unadjusted, Domestic Currency" stands at 0.9126 Trillion South African Rands as of 3/31/2025, the lowest value since 12/31/2023. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.9648 percent compared to the value the year prior.The 1 year change in percent is -0.9648.The 3 year change in percent is 1.37.The 5 year change in percent is 3.21.The 10 year change in percent is 7.83.The Serie's long term average value is 0.703 Trillion South African Rands. It's latest available value, on 3/31/2025, is 29.79 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1995, to it's latest available value, on 3/31/2025, is +93.17%.The Serie's change in percent from it's maximum value, on 6/30/2024, to it's latest available value, on 3/31/2025, is -1.16%.Indicator Definition:Real Gross Fixed Capital Formation, Unadjusted, Domestic CurrencyThe indicator "Real Gross Fixed Capital Formation, Unadjusted, Domestic Currency" stands at 0.6558 Trillion South African Rands as of 3/31/2025, the lowest value since 9/30/2022. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -3.94 percent compared to the value the year prior.The 1 year change in percent is -3.94.The 3 year change in percent is 2.96.The 5 year change in percent is -10.33.The 10 year change in percent is -16.39.The Serie's long term average value is 0.587 Trillion South African Rands. It's latest available value, on 3/31/2025, is 11.81 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 3/31/1994, to it's latest available value, on 3/31/2025, is +144.70%.The Serie's change in percent from it's maximum value, on 3/31/2014, to it's latest available value, on 3/31/2025, is -18.38%.Indicator Definition:Real Changes in Inventories, Unadjusted, Domestic CurrencyThe indicator "Real Changes in Inventories, Unadjusted, Domestic Currency" stands at -0.0135 Trillion South African Rands as of 3/31/2025. Regarding the One-Year-Change of the series, the current value constitutes an decrease of -0.0239 Trillion South African Rands compared to the value the year prior.The 1 year change is -0.0239 Trillion South African Rands.The 3 year change is -0.0072 Trillion South African Rands.The 5 year change is -0.0149 Trillion South African Rands.The 10 year change is -0.0489 Trillion South African Rands.The Serie's long term average value is 0.0124 Trillion South African Rands. It's latest available value, on 3/31/2025, is -0.026 Trillion South African Rands lower, compared to it's long term average value.The Serie's change in South African Rands from it's minimum value, on 6/30/2021, to it's latest available value, on 3/31/2025, is +0.0634 Trillion.The Serie's change in South African Rands from it's maximum value, on 6/30/2023, to it's latest available value, on 3/31/2025, is -0.0877 Trillion.Indicator Definition:Net Trade is defined as exports minus imports (measured in local currency units (LCU)).The indicator "Net Trade (Current LCU)" stands at -0.0272 Trillion South African Rands as of 3/31/2025. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.02 Trillion South African Rands compared to the value the year prior.The 1 year change is 0.02 Trillion South African Rands.The 3 year change is -0.0155 Trillion South African Rands.The 5 year change is 0.0461 Trillion South African Rands.The 10 year change is 0.0205 Trillion South African Rands.The Serie's long term average ...

Goal 10Reduce inequality within and among countriesTarget 10.1: By 2030, progressively achieve and sustain income growth of the bottom 40 per cent of the population at a rate higher than the national averageIndicator 10.1.1: Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total populationSI_HEI_TOTL: Growth rates of household expenditure or income per capita (%)Target 10.2: By 2030, empower and promote the social, economic and political inclusion of all, irrespective of age, sex, disability, race, ethnicity, origin, religion or economic or other statusIndicator 10.2.1: Proportion of people living below 50 per cent of median income, by sex, age and persons with disabilitiesSI_POV_50MI: Proportion of people living below 50 percent of median income (%)Target 10.3: Ensure equal opportunity and reduce inequalities of outcome, including by eliminating discriminatory laws, policies and practices and promoting appropriate legislation, policies and action in this regardIndicator 10.3.1: Proportion of population reporting having personally felt discriminated against or harassed in the previous 12 months on the basis of a ground of discrimination prohibited under international human rights lawVC_VOV_GDSD: Proportion of population reporting having felt discriminated against, by grounds of discrimination, sex and disability (%)Target 10.4: Adopt policies, especially fiscal, wage and social protection policies, and progressively achieve greater equalityIndicator 10.4.1: Labour share of GDPSL_EMP_GTOTL: Labour share of GDP (%)Indicator 10.4.2: Redistributive impact of fiscal policySI_DST_FISP: Redistributive impact of fiscal policy, Gini index (%)Target 10.5: Improve the regulation and monitoring of global financial markets and institutions and strengthen the implementation of such regulationsIndicator 10.5.1: Financial Soundness IndicatorsFI_FSI_FSANL: Non-performing loans to total gross loans (%)FI_FSI_FSERA: Return on assets (%)FI_FSI_FSKA: Regulatory capital to assets (%)FI_FSI_FSKNL: Non-performing loans net of provisions to capital (%)FI_FSI_FSKRTC: Regulatory Tier 1 capital to risk-weighted assets (%)FI_FSI_FSLS: Liquid assets to short term liabilities (%)FI_FSI_FSSNO: Net open position in foreign exchange to capital (%)Target 10.6: Ensure enhanced representation and voice for developing countries in decision-making in global international economic and financial institutions in order to deliver more effective, credible, accountable and legitimate institutionsIndicator 10.6.1: Proportion of members and voting rights of developing countries in international organizationsSG_INT_MBRDEV: Proportion of members of developing countries in international organizations, by organization (%)SG_INT_VRTDEV: Proportion of voting rights of developing countries in international organizations, by organization (%)Target 10.7: Facilitate orderly, safe, regular and responsible migration and mobility of people, including through the implementation of planned and well-managed migration policiesIndicator 10.7.1: Recruitment cost borne by employee as a proportion of monthly income earned in country of destinationIndicator 10.7.2: Number of countries with migration policies that facilitate orderly, safe, regular and responsible migration and mobility of peopleSG_CPA_MIGRP: Proportion of countries with migration policies to facilitate orderly, safe, regular and responsible migration and mobility of people, by policy domain (%)SG_CPA_MIGRS: Countries with migration policies to facilitate orderly, safe, regular and responsible migration and mobility of people, by policy domain (1 = Requires further progress; 2 = Partially meets; 3 = Meets; 4 = Fully meets)Indicator 10.7.3: Number of people who died or disappeared in the process of migration towards an international destinationiSM_DTH_MIGR: Total deaths and disappearances recorded during migration (number)Indicator 10.7.4: Proportion of the population who are refugees, by country of originSM_POP_REFG_OR: Number of refugees per 100,000 population, by country of origin (per 100,000 population)Target 10.a: Implement the principle of special and differential treatment for developing countries, in particular least developed countries, in accordance with World Trade Organization agreementsIndicator 10.a.1: Proportion of tariff lines applied to imports from least developed countries and developing countries with zero-tariffTM_TRF_ZERO: Proportion of tariff lines applied to imports with zero-tariff (%)Target 10.b: Encourage official development assistance and financial flows, including foreign direct investment, to States where the need is greatest, in particular least developed countries, African countries, small island developing States and landlocked developing countries, in accordance with their national plans and programmesIndicator 10.b.1: Total resource flows for development, by recipient and donor countries and type of flow (e.g. official development assistance, foreign direct investment and other flows)DC_TRF_TOTDL: Total assistance for development, by donor countries (millions of current United States dollars)DC_TRF_TOTL: Total assistance for development, by recipient countries (millions of current United States dollars)DC_TRF_TFDV: Total resource flows for development, by recipient and donor countries (millions of current United States dollars)Target 10.c: By 2030, reduce to less than 3 per cent the transaction costs of migrant remittances and eliminate remittance corridors with costs higher than 5 per centIndicator 10.c.1: Remittance costs as a proportion of the amount remittedSI_RMT_COST: Remittance costs as a proportion of the amount remitted (%)SI_RMT_COST_BC: Corridor remittance costs as a proportion of the amount remitted (%)SI_RMT_COST_SC: SmaRT corridor remittance costs as a proportion of the amount remitted (%)

Central African Republic CF: GDP: Real: GNI per Capita data was reported at 147,078.725 XAF in 2022. This records a decrease from the previous number of 151,572.963 XAF for 2021. Central African Republic CF: GDP: Real: GNI per Capita data is updated yearly, averaging 151,676.725 XAF from Dec 2009 (Median) to 2022, with 14 observations. The data reached an all-time high of 206,377.753 XAF in 2012 and a record low of 130,951.266 XAF in 2013. Central African Republic CF: GDP: Real: GNI per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Gross Domestic Product: Real. GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant local currency.;World Bank national accounts data, and OECD National Accounts data files.;;

Central African Republic CF: GDP: Growth: Adjusted Net National Income per Capita data was reported at -2.709 % in 2021. This records an increase from the previous number of -4.131 % for 2020. Central African Republic CF: GDP: Growth: Adjusted Net National Income per Capita data is updated yearly, averaging -2.297 % from Dec 2010 (Median) to 2021, with 12 observations. The data reached an all-time high of 21.252 % in 2018 and a record low of -42.799 % in 2013. Central African Republic CF: GDP: Growth: Adjusted Net National Income per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.;World Bank staff estimates based on sources and methods in World Bank's 'The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium' (2011).;Weighted average;

Central African Republic CF: GDP: GNI per Capita data was reported at 285,895.791 XAF in 2023. This records an increase from the previous number of 280,549.332 XAF for 2022. Central African Republic CF: GDP: GNI per Capita data is updated yearly, averaging 143,059.726 XAF from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 285,895.791 XAF in 2023 and a record low of 16,312.163 XAF in 1960. Central African Republic CF: GDP: GNI per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Gross Domestic Product: Nominal. GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current local currency.;World Bank national accounts data, and OECD National Accounts data files.;;

South Africa ZA: GDP: GNI per Capita data was reported at 79,556.545 ZAR in 2017. This records an increase from the previous number of 75,512.064 ZAR for 2016. South Africa ZA: GDP: GNI per Capita data is updated yearly, averaging 6,321.807 ZAR from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 79,556.545 ZAR in 2017 and a record low of 296.445 ZAR in 1960. South Africa ZA: GDP: GNI per Capita 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. GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; ;

Central African Republic CF: GDP: USD: Adjusted Net National Income per Capita data was reported at 391.040 USD in 2021. This records an increase from the previous number of 369.283 USD for 2020. Central African Republic CF: GDP: USD: Adjusted Net National Income per Capita data is updated yearly, averaging 312.809 USD from Dec 1980 (Median) to 2021, with 42 observations. The data reached an all-time high of 468.968 USD in 2012 and a record low of 219.153 USD in 1984. Central African Republic CF: GDP: USD: Adjusted Net National Income per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Gross Domestic Product: Nominal. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.;World Bank staff estimates based on sources and methods in World Bank's 'The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium' (2011).;Weighted average;

South Africa ZA: Ref. Year = 2015: Real Gross Domestic Product (GDP): Per Capita: PPP data was reported at 74,923.269 ZAR in 2026. This records an increase from the previous number of 74,473.043 ZAR for 2025. South Africa ZA: Ref. Year = 2015: Real Gross Domestic Product (GDP): Per Capita: PPP data is updated yearly, averaging 76,135.870 ZAR from Dec 2002 (Median) to 2026, with 25 observations. The data reached an all-time high of 79,760.528 ZAR in 2013 and a record low of 64,640.073 ZAR in 2002. South Africa ZA: Ref. Year = 2015: Real Gross Domestic Product (GDP): Per Capita: PPP 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.EO: GDP: Per Capita: Forecast: Non OECD Member: Annual. GDPV_CAP - Gross domestic product per capita volumeExpenditure approach OECD calculation, see OECD Economic Outlook database documentation