As of 2023, the GDP of Africa was estimated at roughly 3.1 trillion U.S. dollars. This was the highest value since 2010 when the continent's GDP amounted to approximately 2.1 trillion U.S. dollars. The GDP value in Africa generally followed an upward trend in recent years and was estimated to exceed 4.2 trillion U.S. dollars by 2027.

Leading the charge: the three leading African economies

Among the African countries, in 2021, Nigeria had the highest GDP with approximately 442 billion U.S. dollars. South Africa and Egypt followed. These three countries have the largest economies for various reasons. The most notable factors are their population size, natural resources, and level of economic development. Furthermore, Africa was projected to have a real GDP growth rate of 3.9 percent in 2023. Libya was the economy experiencing the highest growth rate in that year.

The Sub-Saharan African economy on the rise

A global comparison showed that Sub-Saharan Africa had the smallest GDP among all world regions in 2021, amounting to 1.87 trillion U.S. dollars. A closer look revealed that Sub-Saharan Africa had a GDP per capita of 1,626.3 U.S. dollars in 2021, again the lowest worldwide. However, the region's economy was forecast to experience continued growth in the following years, with the real GDP increasing by 3.7 percent in 2023.

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.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Economy. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Economy, the median household income for the households where the householder is White increased by $16,824(43.62%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $38,573 in 2011 and $55,397 in 2021.
• Black or African American: As per the U.S. Census Bureau population data, in Economy, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/economy-in-median-household-income-by-race-trends.jpeg" alt="Economy, IN median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Economy.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy median household income by race. You can refer the same here

As of 2022, the real GDP growth rate in Africa was estimated at 3.7 percent, decreasing compared to the previous year when it stood at 4.8 percent. Africa's real GDP is projected to keep a stable and constant growth trend between 2023 and 2027.

Negative impact of COVID-19

Starting in 2020, the spread of the coronavirus (COVID-19) caused economic stagnation and recession in most world regions. Economies on the African continent were also negatively affected, as the health crisis determined disruptions across all economic sectors. In 2020, Africa’s real GDP dropped to minus 1.8 percent, an exceptional negative growth rate registered on the continent. Southern Africa was the most affected region, followed by Central and Western Africa, respectively.

Forecast economic growth in Africa

In 2021 and 2022, Africa’s economy showed signs of recovery after the COVID-19 crisis. Growth was expected to continue in the following years, with the total GDP increasing from around three trillion U.S. dollars in 2020 to four trillion U.S. dollars in 2027. The African economy was set to grow at a rapid pace, especially compared to other world regions. By 2027, Sub-Saharan Africa’s GDP is estimated to record a growth rate of over four percent, while the European Union’s economy would expand by less than two percent.

South Africa ZA: GDP: Growth data was reported at 1.320 % in 2017. This records an increase from the previous number of 0.565 % for 2016. South Africa ZA: GDP: Growth data is updated yearly, averaging 3.116 % from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 7.940 % in 1964 and a record low of -2.137 % in 1992. South Africa ZA: GDP: Growth 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: Annual Growth Rate. Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. 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.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;

About this dataset

Context

The dataset tabulates the population of Economy by race. It includes the population of Economy across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Economy across relevant racial categories.

Key observations

The percent distribution of Economy population by race (across all racial categories recognized by the U.S. Census Bureau): 95.27% are white, 1.05% are Black or African American, 0.14% are American Indian and Alaska Native, 0.04% are Asian, 1% are some other race and 2.48% are multiracial.

https://i.neilsberg.com/ch/economy-pa-population-by-race.jpeg" alt="Economy population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Economy
• Population: The population of the racial category (excluding ethnicity) in the Economy is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Economy total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy Population by Race & Ethnicity. You can refer the same here

In 2022, the Gross Domestic Product (GDP) per capita in Africa reached 2,150.6 U.S. dollars, the highest value since 2015. In 2014, the value per capita was higher, at 2,316 U.S. dollars. The GDP per capita on the continent was set to follow an upward trend in the coming years to reach nearly 2,700 U.S. dollars by 2026.

In 2023, the South African general government services sector contributed an added value of approximately 371.3 billion South African rand (roughly 21.4 billion U.S. dollars) to the country's gross domestic product (GDP). This represents an increase in comparison to the previous year, when the sector's added value to the country's GDP added up to approximately 369.3 billion South African rand (around 21.3 billion U.S. dollars).

The Gross Domestic Product (GDP) in South Africa was worth 400.26 billion US dollars in 2024, according to official data from the World Bank. The GDP value of South Africa represents 0.38 percent of the world economy. This dataset provides the latest reported value for - South Africa GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Economy. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Economy, the median household income for the households where the householder is White increased by $8,247(22.83%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $36,128 in 2013 and $44,375 in 2023.
• Black or African American: As per the U.S. Census Bureau population data, in Economy, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Economy.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy median household income by race. You can refer the same here

The paper focused on how energy consumption could promote inclusive growth and which type of energy consumption either renewable or non-renewable can lead to inclusive growth. The paper then proceeds to test empirically if the presence of foreign direct investment could help energy consumption to further enhance inclusive growth. The paper used 32 sub-Saharan African (SSA) countries over a 25-year time spanning 1995 to 2019. The is primarily based on the availability of data which was obtained from the World Bank (World Development Indicators), and the United States Energy Information Agency (EIA).

The dependent variable was proxied with an inclusive growth index where principal component analysis (PCA) was used in the generation of the index. The paper used 21 variables to create the index and these include access to clean fuels and technologies for cooking (% of the population); access to electricity (% of the population); mobile cellular subscriptions (per 100 people); contributing family workers, total (% of total employment); employment to population ratio, 15+, total (%) (modelled ILO); Immunization, DPT (% of children ages 12-23 months); mortality rate, under-5 (per 1,000 live births); nurses and midwives (per 1,000 people); physicians (per 1,000 people); the prevalence of underweight, weight for age (% of children under 5); primary education, duration (years), the proportion of seats held by women in national parliaments (%); pupil-teacher ratio, primary; school enrolment, primary (gross); gender parity index (GPI); school enrolment, secondary (gross), gender parity index; school enrolment, tertiary (gross) gender parity index; people using at least basic drinking water services (% of the population); people using at least basic sanitation services (% of the population); domestic general government health expenditure (% of general government expenditure); government expenditure on education, total (% of government expenditure); Gross Domestic Product per Capital (Constant, 2017, US$ PPP). All these variables were sourced from WDI.

To ensure that the index created is robust, the paper conducts various diagnostic tests such as determinant of the correlation matrix; Kaiser-Meyer-Olkin Measure of Sampling (KMO) and Bartlett test of sphericity.

The main variable of interest is energy consumption which was disaggregated into renewable energy consumption (% of total final energy consumption) and fossil fuel comprises coal, oil, petroleum, and natural gas products (non-renewable) sourced from EIA. The moderating variable is net Foreign Direct Investment Inflow (% GDP).

The control variables we sourced from WDI include gross fixed capital formation (% of GDP), labour force participation rate, total (% of total population ages 15-64) (modelled ILO estimate), trade (% of GDP) and GDP per person employed (constant 2017 PPP $).

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Economy. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Economy, the median household income for the households where the householder is White decreased by $5,037(5.27%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $95,623 in 2011 and $90,586 in 2021.
• Black or African American: In Economy, the median household income for Black or African American households was $184,953 in 2011(2022 inflation-adjusted dollars). However there is no reported data for 2021, indicating a lack of information for this specific year.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/economy-pa-median-household-income-by-race-trends.jpeg" alt="Economy, PA median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Economy.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy median household income by race. You can refer the same here

This study explores the Social Solidarity Economy (SSE) of People of African Descent (PAD) in Europe. SSE is believed to contribute to sustainability transformation since it emphasizes social, economic, and environmental objectives (Elsen, 2018). This contribution is important especially when it comes to the social inclusion and empowerment of vulnerable communities like PAD. The SSE plays a crucial role in the lives of PAD. The SSE is where PAD find refuge and meet their economic and social needs. It is also where they actively contribute, through their SSE, to the economy and society (Hossein, 2017). However, the endeavors and contributions of PAD in the SSE have not been recognized and well documented (Hossein, 2018), especially in the context of Europe. The SSE literature has neglected informal organizations that are common among PAD (Hossein & Skerritt, 2018) and failed to sufficiently incorporate analyses and theories from PAD (Hossein, 2018, 2019). The purpose of this study is to examine the characteristics of the SSE organizations (SSEOs) of PAD in Europe and their contribution to the economy and society. The study has two major parts. The first part is based on a systematic scoping review of studies about SSEOs of PAD in the context of Europe. The review aims to examine the overall state of research in this domain and systematically map the evidence. In this case, 109 studies were reviewed. The second part is based on multiple case studies of SSEOs of PAD in the context of Italy. Here, the objective is to investigate the characteristics and contribution of such organizations vis-à-vis the concepts of eco-social innovation, sustainability transition, and social inclusion and empowerment. For the case study, data is collected from more than 19 SSEOs through semi-structured interviews and document analysis. The study also applies the theories of diverse economies and social solidarity economy to inform the research process.

As of 2024, gross domestic expenditure in South Africa dropped to **** million South African rand (ZAR), around ******* U.S. dollars, compared to the previous year. In comparison to 2017, the gross domestic expenditure increased by ******* ZAR, roughly ***** U.S. dollars. Overall, South Africa's GDP was forecast to experience a steady rise in the period between 2024 and 2030.

Since the beginning of the 21st century, the BRICS countries have been considered the five foremost developing economies in the world. Originally, the term BRIC was used by economists when talking about the emerging economies of Brazil, Russia, India, and China, however these countries have held annual summits since 2009, and the group has expanded to include South Africa since 2010. China has the largest GDP of the BRICS country, at 16.86 trillion U.S. dollars in 2021, while the others are all below three trillion. Combined, the BRICS bloc has a GDP over 25.85 trillion U.S. dollars in 2022, which is slightly more than the United States. BRICS economic development China has consistently been the largest economy of this bloc, and its rapid growth has seen it become the second largest economy in the world, behind the U.S.. China's growth has also been much faster than the other BRICS countries; for example, when compared with the second largest BRICS economy, its GDP was less than double the size of Brazil's in 2000, but is almost six times larger than India's in 2021. Since 2000, the country with the second largest GDP has fluctuated between Brazil, Russia, and India, due to a variety of factors, although India has held this position since 2015 (when the other two experienced recession), and it's growth rate is on track to surpass China's in the coming decade. South Africa has consistently had the smallest economy of the BRICS bloc, and it has just the third largest economy in Africa; its inclusion in this group is due to the fact that it is the most advanced and stable major economy in Africa, and it holds strategic importance due to the financial potential of the continent in the coming decades. Future developments It is predicted that China's GDP will overtake that of the U.S. by the end of the 2020s, to become the largest economy in the world, while some also estimate that India will also overtake the U.S. around the middle of the century. Additionally, the BRICS group is more than just an economic or trading bloc, and its New Development Bank was established in 2014 to invest in sustainable infrastructure and renewable energy across the globe. While relations between its members were often strained or of less significance in the 20th century, their current initiatives have given them a much greater international influence. The traditional great powers represented in the Group of Seven (G7) have seen their international power wane in recent decades, while BRICS countries have seen theirs grow, especially on a regional level. Today, the original BRIC countries combine with the Group of Seven (G7), to make up 11 of the world's 12 largest economies, but it is predicted that they will move further up on this list in the coming decades.

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

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Economy. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Economy, the median household income for the households where the householder is White increased by $512(0.53%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $96,036 in 2013 and $96,548 in 2023.
• Black or African American: In Economy, the median household income for the households where the householder is Black or African American decreased by $111,646(53.93%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $207,031 in 2013 and $95,385 in 2023.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Economy.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy median household income by race. You can refer the same here

The gross domestic product (GDP) in current prices in South Africa amounted to 401.08 billion U.S. dollars in 2024. Between 1980 and 2024, the GDP rose by 311.67 billion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The GDP will steadily rise by 110.94 billion U.S. dollars over the period from 2024 to 2030, reflecting a clear upward trend.This indicator describes the gross domestic product at current prices. The values are based upon the GDP in national currency converted to U.S. dollars using market exchange rates (yearly average). The GDP represents the total value of final goods and services produced during a year.

In 2024 the median annual income of Asian households in the United States was 121,700 U.S. dollars. They were followed by White households, who's median earnings were 92,530 U.S. dollars. Furthermore, Black Americans and American Indian and Alaska Native families had the lowest household incomes. That year, median income among all U.S. household rose to 83,730 U.S. dollars.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Economy by race. It includes the distribution of the Non-Hispanic population of Economy across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Economy across relevant racial categories.

Key observations

With a zero Hispanic population, Economy is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 122 (97.60% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/economy-in-population-by-race-and-ethnicity.jpeg" alt="Economy Non-Hispanic population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Economy
• Population: The population of the racial category (for Non-Hispanic) in the Economy is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Economy total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy Population by Race & Ethnicity. You can refer the same here