The average for 2024 based on 46 countries was 2323.02 U.S. dollars. The highest value was in the Seychelles: 16586.41 U.S. dollars and the lowest value was in Burundi: 255.6 U.S. dollars. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

The statistic shows the growth in real GDP in Sub-Saharan Africa from 2020 to 2024, with projections up until 2030. Sub-Saharan Africa is the area of the African continent south of the Sahara and includes almost all African countries located there. In 2024, real gross domestic product in Sub-Saharan Africa grew by around 3.99 percent compared to the previous year.

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

In the first quarter of 2024, the Gross Domestic Product (GDP) in Tunisia increased by 0.2 percent compared to the same quarter of 2023. Moreover, it rose by 0.6 percent compared to the previous quarter. Following the economic impact of the coronavirus (COVID-19) outbreak, the GDP decreased by -1 percent in the first quarter of 2021, compared to the previous year. Economic recovery after COVID-19 As of the first quarter of 2024, Tunisia’s GDP experienced a growth rate of 0.2 percent, recovering from the decline in the two previous quarters. However, in 2020, the Tunisian GDP growth rate assumed a negative value for the first time since 2012. Previously, negative growth had been recorded in 2011 concurrently with the Jasmine Revolution. The economy then gradually recovered after 2020, with the GDP expanding by 4.61 percent in 2021 and 0.42 percent in 2023. After declining in 2020, the GDP per capita was also set to grow again to reach around 4,416 U.S. dollars by 2027. Overall, Tunisia is a small economy and ranks among the countries with the lowest GDP per capita in the Middle East and North Africa (MENA). Compared to other countries in the region, its territory is not particularly rich in oil and gas. Its industries mainly operate in textiles, mining and phosphates, and agri-food. Main sectors to drive economic growth The economy of Tunisia is largely based on the tertiary sector, with services contributing around 60 percent to the GDP. Within this sector, the tourism industry is particularly profitable. Tourists are especially attracted by the country’s seaside resorts, as well as the suggestive landscapes of the Sahara Desert. The global tourism industry was hit hard by the COVID-19 crisis and Tunisia registered a significant fall in the annual number of tourists in 2020, however, the sector managed to recover, with 6.89 million arrivals in 2023. Agriculture represents another significant driver of economic growth, accounting for around 10 percent of the country’s GDP and employing roughly 14 percent of the working population. Cereals lead the domestic agricultural production, while olive oil, dates, and fish represent the main exports.

This paper examines the linear effects of economic growth on carbon emissions and their impact on mortality and morbidity rates in specific regions sub-Sahara Africa, Middle-East and North Africa, Europe and Central Asia (SSA, MENA, ECA). By analyzing longitudinal data for 82 panels over 30 years, we investigate the relationships between energy usage, per capita GDP, life expectancy, and carbon emissions. Our estimation results show positive correlations between energy use, carbon production, and life expectancy in both the combined sample and individual regions. However, death rate has a negative relationship with carbon production in the combined sample, MENA, and SSA regions. Per capita GDP positively influences carbon emissions and life expectancy in the combined sample and ECA, MENA, and SSA regions. We also identify asymmetric relationships between per capita GDP and carbon production, with evidence supporting the Environmental Kuznets Curve hypothesis for the combined and ECA samples, and an N-trajectory for SSA. These findings emphasize the importance of region-specific approaches to sustainable development, considering the unique environmental and economic challenges each region faces. Policymakers should consider our research insights when designing policies to mitigate the negative impacts of economic progress on the environment.

This paper examines the linear effects of economic growth on carbon emissions and their impact on mortality and morbidity rates in specific regions sub-Sahara Africa, Middle-East and North Africa, Europe and Central Asia (SSA, MENA, ECA). By analyzing longitudinal data for 82 panels over 30 years, we investigate the relationships between energy usage, per capita GDP, life expectancy, and carbon emissions. Our estimation results show positive correlations between energy use, carbon production, and life expectancy in both the combined sample and individual regions. However, death rate has a negative relationship with carbon production in the combined sample, MENA, and SSA regions. Per capita GDP positively influences carbon emissions and life expectancy in the combined sample and ECA, MENA, and SSA regions. We also identify asymmetric relationships between per capita GDP and carbon production, with evidence supporting the Environmental Kuznets Curve hypothesis for the combined and ECA samples, and an N-trajectory for SSA. These findings emphasize the importance of region-specific approaches to sustainable development, considering the unique environmental and economic challenges each region faces. Policymakers should consider our research insights when designing policies to mitigate the negative impacts of economic progress on the environment.

The data sets in this directory were provided by Mr. Gregory Yetman and Drs. Stuart Gaffin and Deborah Balk from the Center for International Earth Science Information Network (CIESIN) at Columbia University. There are three data files at three spatial resolutions of 0.25, 0.5 and 1.0 degree in both latitude and longitude and for the reference year of 1990.

Estimates of Gross Domestic Product (GDP) are commonly given for nations as a single aggregated number. This data set generates estimates of GDP density distributed subnationally to facilitate the integration of GDP with other data at a sub-national level and to promote interdisciplinary studies that include socioeconomic aspects. This is one of two coarse resolution Socioeconomic data sets included in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II data collection, the other being the Gridded Population of the World (GPW), also produced by CIESIN.

This paper examines the linear effects of economic growth on carbon emissions and their impact on mortality and morbidity rates in specific regions sub-Sahara Africa, Middle-East and North Africa, Europe and Central Asia (SSA, MENA, ECA). By analyzing longitudinal data for 82 panels over 30 years, we investigate the relationships between energy usage, per capita GDP, life expectancy, and carbon emissions. Our estimation results show positive correlations between energy use, carbon production, and life expectancy in both the combined sample and individual regions. However, death rate has a negative relationship with carbon production in the combined sample, MENA, and SSA regions. Per capita GDP positively influences carbon emissions and life expectancy in the combined sample and ECA, MENA, and SSA regions. We also identify asymmetric relationships between per capita GDP and carbon production, with evidence supporting the Environmental Kuznets Curve hypothesis for the combined and ECA samples, and an N-trajectory for SSA. These findings emphasize the importance of region-specific approaches to sustainable development, considering the unique environmental and economic challenges each region faces. Policymakers should consider our research insights when designing policies to mitigate the negative impacts of economic progress on the environment.