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.

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.

In 2023, the untaxed shadow economy accounted for 19.3 percent of the global gross domestic product (GDP). In Africa, Sierra Leone's shadow economy was the largest of the region and was estimated to be worth about 64.5 percent of its GDP, while Egypt's shadow economy represented 21 percent of its GDP.

Details of the dataset

The African Economic Outlook dataset is a comprehensive resource that provides detailed economic analysis at both the country and regional level.

The dataset is provided by the African Development Bank Group, and it’s part of their broader effort to examine recent macroeconomic developments and the outlook in Africa. The report focuses on the implications of external imbalances for growth and the financial and monetary challenges of integration.

The dataset includes various metrics such as Real GDP growth in Africa, Energy subsidies as a share of nominal GDP, and Contribution to GDP growth in Africa, by region. These metrics can provide valuable insights into the economic conditions and trends in different African countries and regions.

The dataset is available in CSV format, which can be easily imported into most data analysis and visualization tools. This makes it a valuable resource for policy makers, investors, researchers, NGOs, and journalists who are interested in African economic trends and developments.

Key usages

This dataset can be used to make informed decisions in several ways: - Policy Making: Governments and policy makers can use this data to understand the economic conditions of different African countries and regions, and formulate policies accordingly. - Investment Decisions: Investors and businesses can use this data to identify potential investment opportunities in different sectors and regions. - Academic Research: Researchers and students can use this data for various economic studies and research projects. - Non-profit Organizations: NGOs and humanitarian organizations can use this data to identify regions that need economic aid or development projects. - Journalism: Journalists and media outlets can use this data to report on economic trends and developments in Africa.

Image Source : Clipart.co

Africa Economic Calendar Dataset

  Dataset Description

This dataset contains 111,450 macroeconomic events from 18 African countries, spanning from 2020 to 2025. The dataset mirrors professional economic calendars used by traders, economists, and analysts to track key economic indicators that move financial markets. Each event includes its scheduled release time, geographical zone, currency, importance level, and actual, forecast, and previous values when available.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-economic-calendar-2020-2025.

Africa Gdp Growth Annual Percentage Dataset

  Overview

This dataset contains gdp growth (annual %) data for African countries from the World Bank Economy & Growth indicators.

  Data Details

Indicator Code: NY.GDP.MKTP.KD.ZG Description: GDP growth (annual %) Geographic Coverage: 54 African countries Time Period: 1960-2024 Data Points: 3,510 observations Coverage: 100.00% of possible country-year combinations

  File Formats





  Main Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-gdp-growth-annual-percentage.

Central African Republic CF: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Middle East & North Africa data was reported at 0.230 % in 2023. This records an increase from the previous number of 0.050 % for 2022. Central African Republic CF: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Middle East & North Africa data is updated yearly, averaging 0.221 % from Dec 1960 (Median) to 2023, with 47 observations. The data reached an all-time high of 77.393 % in 1990 and a record low of 0.003 % in 2020. Central African Republic CF: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Middle East & North Africa 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: Exports. Merchandise exports to low- and middle-income economies in Middle East and North Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Middle East and North Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;

As of 2024, Sudan was the North African country with the highest contribution share of the agriculture, forestry, and fishing sector to the gross domestic product (GDP), with this industry constituting around **** percent of the economy. Overall, the agriculture sector plays a vital role within the North African countries, contributing at least **** percent to each national GDP of the region. The only exception was Libya, where agricultural activities only made up *** percent of the GDP, respectively. In Sudan, the contribution of agriculture to GDP dropped sharply between 2021 and 2023, largely due to climate-related challenges and the ongoing conflict between the Sudanese Armed Forces and the Rapid Support Forces since April 2023. However, in 2024, the share rebounded to over ** percent, likely because the war severely weakened the industrial and service sectors, shrinking overall GDP and making agriculture’s relative share appear larger. Additionally, as urban jobs disappeared, many Sudanese turned to rural areas and subsistence farming, boosting informal agricultural activity. Agriculture and Economics Across Africa, agriculture is a core pillar of the economy, representing ** percent of Sub-Saharan Africa’s GDP in 2023, led by Niger and Comoros. In addition to its economic presence, the sector also plays an important role in contributing to the job market. In fact, the number of people employed in agriculture in the continent reached almost *** million in 2023. While Central and Western Africa boasted large shares of the agricultural workforce, North Africa recorded the lowest share of employment in the industry, due to the region’s heavy reliance on industrial and service sectors. Harvest and Land
The primary crops grown in Africa are roots and tubers, along with cereals. In fact, Egypt and Morocco led the North African region in 2023, with the highest amounts of cereals produced. Within the continent, Sudan and South Africa possess the largest agricultural land areas, with around *** million and **** million hectares, respectively. However, Burundi dedicated the largest share of land to growing crops at ** percent, with Rwanda following close behind at ** percent.

South Africa ZA: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Sub-Saharan Africa data was reported at 27.993 % in 2016. This records a decrease from the previous number of 28.241 % for 2015. South Africa ZA: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Sub-Saharan Africa data is updated yearly, averaging 7.298 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 29.718 % in 2014 and a record low of 2.649 % in 1978. South Africa ZA: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Sub-Saharan Africa 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: Exports. Merchandise exports to low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Sub-Saharan Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

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

As of 2023, Niger registered the agricultural sector's highest contribution to the GDP in Africa, at over ** percent. Comoros and Ethiopia followed, with agriculture, forestry, and fishing accounting for approximately ** percent and ** percent of the GDP, respectively. On the other hand, Botswana, Djibouti, Libya, Zambia, and South Africa were the African countries with the lowest percentage of the GDP generated by the agricultural sector. Agriculture remains a pillar of Africa’s economy Despite the significant variations across countries, agriculture is a key sector in Africa. In 2022, it represented around ** percent of Sub-Saharan Africa’s GDP, growing by over *** percentage points compared to 2011. The agricultural industry also strongly contributes to the continent’s job market. The number of people employed in the primary sector in Africa grew from around *** million in 2011 to *** million in 2021. In proportion, agriculture employed approximately ** percent of Africa’s working population in 2021. Agricultural activities attracted a large share of the labor force in Central, East, and West Africa, which registered percentages over the regional average. On the other hand, North Africa recorded the lowest share of employment in agriculture, as the regional economy relies significantly on the industrial and service sectors. Cereals are among the most produced crops Sudan and South Africa are the African countries with the largest agricultural areas. Respectively, they devote around *** million and **** million hectares of land to growing crops. Agricultural production varies significantly across African countries in terms of products and volume. Cereals such as rice, corn, and wheat are among the main crops on the continent, also representing a staple in most countries. The leading cereal producers are Ethiopia, Nigeria, Egypt, and South Africa. Together, they recorded a cereal output of almost *** million metric tons in 2021. Additionally, rice production was concentrated in Nigeria, Egypt, Madagascar, and Tanzania.

Context

This data looks at the impact of COVID-19 on employment, income, ability to pay expenses, and more in Côte D'Ivoire, Kenya, Mozambique Nigeria, and South Africa. https://data.humdata.org/dataset/economic-impact-of-covid-19-in-sub-saharan-africa

Content

Data is nationally representative by age, gender, and location, and is broken down by job type and formal or informal workers.

Acknowledgements

Roxana Elliot, Dataset' s author. https://data.humdata.org/dataset/economic-impact-of-covid-19-in-sub-saharan-africa

Inspiration

Covid-19 Pandemic.

Africa Africa Eastern and Southern Dataset

  Overview

This dataset contains africa eastern and southern data for African countries from the World Bank Economy & Growth indicators.

  Data Details

Indicator Code: NY.GDP.MKTP.CD Description: Africa Eastern and Southern Geographic Coverage: 54 African countries Time Period: 1960-2024 Data Points: 3,510 observations Coverage: 100.00% of possible country-year combinations

  File Formats





  Main Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-africa-eastern-and-southern.

South Africa ZA: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Sub-Saharan Africa data was reported at 10.041 % in 2016. This records a decrease from the previous number of 10.387 % for 2015. South Africa ZA: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Sub-Saharan Africa data is updated yearly, averaging 6.184 % from Dec 1998 (Median) to 2016, with 19 observations. The data reached an all-time high of 12.898 % in 2014 and a record low of 2.027 % in 2000. South Africa ZA: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Sub-Saharan Africa 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: Imports. Merchandise imports from low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Sub-Saharan Africa region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Time series data for the statistic Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) and country Sierra Leone. Indicator Definition:Merchandise exports to low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Sub-Saharan Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.The indicator "Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)" stands at 8.49 as of 12/31/2023, the lowest value since 12/31/2015. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -27.59 percent compared to the value the year prior.The 1 year change in percent is -27.59.The 3 year change in percent is -46.35.The 5 year change in percent is -55.49.The 10 year change in percent is 31.84.The Serie's long term average value is 15.03. It's latest available value, on 12/31/2023, is 43.50 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1963, to it's latest available value, on 12/31/2023, is +2,911.19%.The Serie's change in percent from it's maximum value, on 12/31/2004, to it's latest available value, on 12/31/2023, is -87.86%.

Ivory Coast CI: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Sub-Saharan Africa data was reported at 27.128 % in 2016. This records an increase from the previous number of 26.908 % for 2015. Ivory Coast CI: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Sub-Saharan Africa data is updated yearly, averaging 16.466 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 43.169 % in 2013 and a record low of 0.843 % in 1961. Ivory Coast CI: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Sub-Saharan Africa data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ivory Coast – Table CI.World Bank: Exports. Merchandise exports to low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Sub-Saharan Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Time series data for the statistic Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) and country India. Indicator Definition:Merchandise exports to low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Sub-Saharan Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.The indicator "Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)" stands at 8.97 as of 12/31/2023. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -4.07 percent compared to the value the year prior.The 1 year change in percent is -4.07.The 3 year change in percent is 12.14.The 5 year change in percent is 34.64.The 10 year change in percent is 5.34.The Serie's long term average value is 5.15. It's latest available value, on 12/31/2023, is 74.33 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1989, to it's latest available value, on 12/31/2023, is +2,120.64%.The Serie's change in percent from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2023, is -4.07%.

Time series data for the statistic Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) and country Afghanistan. Indicator Definition:Merchandise exports to low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Sub-Saharan Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.The indicator "Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)" stands at 0.0814 as of 12/31/2023, the highest value since 12/31/2015. Regarding the One-Year-Change of the series, the current value constitutes an increase of 4E-4 percent compared to the value the year prior.The 1 year change in percent is 4E-4.The 3 year change in percent is 1,493.62.The 5 year change in percent is 3,971.24.The Serie's long term average value is 0.21. It's latest available value, on 12/31/2023, is 61.26 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1982, to it's latest available value, on 12/31/2023, is +22,061.22%.The Serie's change in percent from it's maximum value, on 12/31/1984, to it's latest available value, on 12/31/2023, is -97.59%.

The novel coronavirus pandemic has unsettled the political, economic and social structures of the world. Yet, in the context of global economies in recession, opportunities also abound for many countries, including in Africa, to pursue new directions in governance and management. For instance, the pandemic may be closing gaps between the so-called developed and the developing worlds, thereby giving African countries some geopolitical and economic leverage, both in terms of international alliances and managing fiscal challenges. This project, using the case of Sierra Leonne, focuses on how African countries can chart new paths is their management and governance of foreign aid. The project investigates how aid-funded projects are implemented in Africa using the yardstick of the World Bank’s International Good Governance Standard and, in the process, answers the question of how African countries can alternatively and efficiently administer and manage foreign aid-funded projects? This question is important because Sub-Saharan Africa is one of the world’s most aided regions. Aid as a percentage of Gross Domestic Product (GDP) in the region has averaged around 5% for much of the past two decades. Aid has reached nearly 10% at times and still equals nearly 6% of the region’s GDP. Yet, the growth records of nearly all African countries have thus far been unsatisfactory compared with the amount of aid funds received. The case of high aid flows into African economies, on one hand, and evidence of abysmal growth outcomes, on the other, have led to questions about the usefulness of foreign aid. At a time when Africa’s traditional donor countries are biting the dust, due to the pandemic, these questions become even more crucial. The project calls for a rethink of Africa’s economic management practices to meet the needs of present times.

“Food Price Crowdsourcing Africa” (FPCA) is a research project led by the European Commission - Directorate Joint Research Centre (JRC), and implemented in collaboration with the International Institute of Tropical Agriculture (IITA), Nigeria and Wageningen University and Research (WUR), The Netherlands, to understand food price changes along the food chain while strengthening agricultural & market information systems through mobile phone technology and citizens' participation. This project is a component of a broader initiative themed "Support to the AgRi-Economic analysis & modelling of agriculture & development policies impact for Africa (AREA)", which is led and funded by the JRC and implemented in collaboration with WUR.

As society and economy rapidly transforms by the expansion of digital technologies, new data sources represent a unique opportunity to produce new and complementary statistics within collective collaborative frameworks. The goal of this project (~10 months) was to explore the potentiality of a “spontaneous crowdsourcing” (i.e. “Citizen Science”) approach by leveraging citizen involvement, smart phone technology and an adequate quality framework to produce reliable food price data with very high spatial details and temporal frequency, with the purpose to provide to consumers and farmers accurate and timely information on agricultural commodity markets, allowing them to make informed decisions about consumption and production and leading to a more efficient function of markets. Agricultural markets transparency is particularly relevant in many African countries where agriculture is still the main source of income for a big share of population as well as expenditure on food represents an important share of the total household income. At the same time market transparency can help to understand market dynamics and so to shape national and regional decisions and policies regarding food security and markets.

The dataset is continuously updated for the whole the duration of the project. The dataset is accompanied by an interactive dashboard updated twice a day that allows users to perform a wide exploration of the data. A set of graphs and charts are displayed according to states and regions, weeks, and products selected by the user.

This is considered a beta version: user feedback is welcome to further improve the dashboard.