In 2021, South Africa had the highest industrialization index in Africa, with a score of 0.84 points. Conversely, the country with the lowest score was Gambia with 0.35 points. The industrialization index is a measure of the level of industrial development in a country. It typically takes into account factors such as the number of factories, the amount of industrial output, and the number of people employed in industrial jobs. A higher industrialization index indicates a higher level of industrial development, and a lower index indicates a lower level of industrial development.

This dataset provides values for INDUSTRIAL PRODUCTION 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, the industrial sector in Libya registered the highest contribution to the gross domestic product (GDP) in Africa, at around 77 percent. Due to its large oil reserves, the country's industrial sector is dominated by the fossil fuels industry. Gabon and the Democratic Republic of Congo followed, with industry accounting for approximately 53 percent and 46.5 percent of the GDP, respectively. On the other hand, Sao Tome and Principe had the lowest percentage of the GDP generated by the secondary sector, at roughly three percent.

South Africa's GDP was estimated at just over 403 billion U.S. dollars in 2024, the highest in Africa. Egypt followed, with a GDP worth around 380 billion U.S. dollars, and ranked as the second-highest on the continent. Algeria ranked third, with about 260 billion U.S. dollars. These African economies are among some of the fastest-growing economies worldwide. Dependency on oil For some African countries, the oil industry represents an enormous source of income. In Nigeria, oil generates over five percent of the country’s GDP in the third quarter of 2023. However, economies such as the Libyan, Algerian, or Angolan are even much more dependent on the oil sector. In Libya, for instance, oil rents account for over 40 percent of the GDP. Indeed, Libya is one of the economies most dependent on oil worldwide. Similarly, oil represents for some of Africa’s largest economies a substantial source of export value. The giants do not make the ranking Most of Africa’s largest economies do not appear in the leading ten African countries for GDP per capita. The GDP per capita is calculated by dividing a country’s GDP by its population. Therefore, a populated country with a low total GDP will have a low GDP per capita, while a small rich nation has a high GDP per capita. For instance, South Africa has Africa’s highest GDP, but also counts the sixth-largest population, so wealth has to be divided into its big population. The GDP per capita also indicates how a country’s wealth reaches each of its citizens. In Africa, Seychelles has the greatest GDP per capita.

Morocco was the main producer of industrial minerals in Africa as of 2022. Roughly 12 million metric tons of the items were produced in the country that year. Tunisia produced around 3.8 million metric tons of industrial minerals, while Algeria and South Africa registered an output of some 3.6 million and 3.1 million metric tons, respectively.

In 2023, the average life expectancy for those born in more developed countries was 75 years for men and 82 years for women. On the other hand, the respective numbers for men and women born in the least developed countries were 63 and 67 years.

Improved health care has lead to higher life expectancy

Life expectancy is the measure of how long a person is expected to live. Life expectancy varies worldwide and involves many factors such as diet, gender, and environment. As medical care has improved over the years, life expectancy has increased worldwide. Introduction to health care such as vaccines has significantly improved the lives of millions of people worldwide. The average worldwide life expectancy at birth has steadily increased since 2007, but dropped during the COVID-19 pandemic in 2020 and 2021.

Life expectancy worldwide

More developed countries tend to have higher life expectancies, for a multitude of reasons. Health care infrastructure and quality of life tend to be higher in more developed countries, as is access to clean water and food. Africa was the continent that had the lowest life expectancy for both men and women in 2023, while Oceania had the highest for men and Europe and Oceania had the highest for women.

The primary data collection element of this project related to observational based fieldwork at four universities in Kenya and South Africa undertaken by Louise Bezuidenhout (hereafter ‘LB’) as the award researcher. The award team selected fieldsites through a series of strategic decisions. First, it was decided that all fieldsites would be in Africa, as this continent is largely missing from discussions about Open Science. Second, two countries were selected – one in southern (South Africa) and one in eastern Africa (Kenya) – based on the existence of the robust national research programs in these countries compared to elsewhere on the continent. As country background, Kenya has 22 public universities, many of whom conduct research. It also has a robust history of international research collaboration – a prime example being the long-standing KEMRI-Wellcome Trust partnership. While the government encourages research, financial support for it remains limited and the focus of national universities is primarily on undergraduate teaching. South Africa has 25 public universities, all of whom conduct research. As a country, South Africa has a long history of academic research, one which continues to be actively supported by the government.

Third, in order to speak to conditions of research in Africa, we sought examples of vibrant, “homegrown” research. While some of the researchers at the sites visited collaborated with others in Europe and North America, by design none of the fieldsites were formally affiliated to large internationally funded research consortia or networks. Fourth, within these two countries four departments or research groups in academic institutions were selected for inclusion based on their common discipline (chemistry/biochemistry) and research interests (medicinal chemistry). These decisions were to ensure that the differences in data sharing practices and perceptions between disciplines noted in previous studies would be minimized.

Within Kenya, site 1 (KY1) and Site 2 (KY2) were both chemistry departments of well-established universities. Both departments had over 15 full time faculty members, however faculty to student ratios were high and the teaching loads considerable. KY1 had a large number of MSc and PhD candidates, the majority of whom were full-time and a number of whom had financial assistance. In contrast, KY2 had a very high number of MSc students, the majority of whom were self-funded and part-time (and thus conducted their laboratory work during holidays). In both departments space in laboratories was at a premium and students shared space and equipment. Neither department had any postdoctoral researchers.

Within South Africa, site 1 (SA1) was a research group within the large chemistry department of a well-established and comparatively well-resourced university with a tradition of research. Site 2 (SA2) was the chemistry/biochemistry department of a university that had previously been designated a university for marginalized population groups under the Apartheid system. Both sites were the recipients of numerous national and international grants. SA2 had one postdoctoral researcher at the time, while SA1 had none.

Empirical data was gathered using a combination of qualitative methods including embedded laboratory observations and semi-structured interviews. Each site visit took between three and six weeks, during which time LB participated in departmental activities, interviewed faculty and postgraduate students, and observed social and physical working environments in the departments and laboratories. Data collection was undertaken over a period of five months between November 2014 and March 2015, with 56 semi-structured interviews in total conducted with faculty and graduate students. Follow-on visits to each site were made in late 2015 by LB and Brian Rappert to solicit feedback on our analysis.

As of 2022, DR Congo held the largest share in the global industrial diamond production compared to other African countries. The country accounted for around 19.08 percent of the output. Following this were Botswana and South Africa, with roughly 16.9 percent and 12.5 percent, respectively. Overall, Africa was responsible for more than half of the global industrial diamond production in the said year.

According to Cognitive Market Research, The Global Industrial Shredder Machine market size is USD 1.2 billion in 2023 and will grow at a compound annual growth rate (CAGR) of 2.20% from 2023 to 2030.

The industrial shredder market is predicted to expand steadily in the next few years. Growing sales of electric cars and increased manufacture of light vehicles are factors driving the worldwide industrial shredder market
Demand for the horizontal hammer mills segment remains higher in the Industrial Shredder Machine Market by type.
The forestry category held the highest application of Industrial Shredder Machine Market share in 2023.
In 2023, The Asia Pacific region witnessed rapid industrialization, with countries like China, India, and Southeast Asian nations becoming major manufacturing hubs. 

Rising Urbanization and Industrialization in Developing Nations Are Major Drivers

Demand for crusher and shredder equipment is being driven by rising urbanization and industrialization in nations such as China, India, and Japan. Furthermore, growing countries in South America, Asia Pacific, and Africa will contribute to the market for crusher and shredder equipment. Moreover, the crusher and shredder aid in the recovery of metals and other minerals from slag waste, increasing demand for these devices.

For instance, according to research, 64% of poor nations would be urban, whereas 86% of industrialized countries will be. Urbanization is more likely in Africa and Asia (including India). In India, industry and urbanization are inextricably intertwined since more industrialization creates more job possibilities. These prospects entice rural residents, particularly younger generations.

(Source:unacademy.com/content/upsc/study-material/sociology/industrialisation-and-urbanisation-in-india/)

Government Legislation to Improve the Market for Crusher and Shredder Machines

Several governments are seeking to introduce new laws that will assist in increasing the crusher and shredder machine business. The shredding operations often do not generate garbage, which is an extra benefit of this equipment. Furthermore, governments are launching projects to recycle building and demolition debris for economic and environmental reasons. These devices aid in trash reduction, increasing demand for crusher and shredder equipment.

For instance, Wendt Corp., based in Buffalo, New York, has formed a joint venture with Proman Infrastructure Services Pvt. Ltd., based in Bangalore, India, to establish Wendt Proman Metal Recycling Pvt. Ltd. to serve customers in India. Proman is a heavy industrial equipment solutions provider with a focus on crushing, screening, and material handling.

(Source:www.recyclingtoday.com/news/wendt-proman-form-joint-venture-india/)

Market Dynamics of Industrial Shredder Machine

High Maintenance to Hinder Market Growth

One of the most significant issues with shredder machines is that they require a high level of maintenance and repair because they are necessary equipment in a variety of sectors. Even the best-built shredders require a lot of upkeep and hours of downtime for repairs or maintenance. The period of rest helps assess the practicality of utilizing that certain shredder and how frequently it will require additional repair or maintenance.

Impact of COVID-19 on the Industrial Shredder Machine Market

During the pandemic, several governments imposed harsh lockdowns and travel restrictions to prevent the virus from spreading. Supply networks, industrial processes, and the transit of commodities, especially agricultural machinery like shredders, were all interrupted as a result of these steps. Manufacturing facilities experienced issues such as labor shortages, disruptions in raw material delivery, and logistical bottlenecks. As a result, numerous industrial shredder machine manufacturers had to halt production or close temporarily. Introduction of Industrial Shredder Machine Market

The growth in awareness of novel farming practices is one of the major reasons driving the development of the industrial shredder machine market. Furthermore, the use of this equipment saves time and aids in tough labor, allowing it to be used for a variety of jobs. Again, prominent businesses such as Deere & Company are focusing on producing superior hardware that may be utilized to boost efficiency to new heights. I...

The World Fertility Survey (WFS) was designed by the International Statistical Institute in collaboration with the United Nations (UN) and the International Union for the Scientific Study of Population (IUSSP) in the early 1970s. The programme aimed to collect and analyse information to permit countries to “describe and interpret the fertility of their population”. The WFS was implemented with two core questionnaires: one aimed at developing countries in Africa, Asia, and South America with high fertility and low contraceptive use and another devised to be applied in developed countries in Europe and North‐America with low fertility and high contraceptive use. The micro‐data collected in the 42 developing countries and Portugal are archived and accessible through the Demographic Health Survey (https://wfs.dhsprogram.com/). The micro‐data collected in the 20 developed countries are not centrally archived. In 2020, the Generations and Gender Programme received funding from the Data Archiving and Networked Services (DANS) for the project "International Microdata for Reproductive Studies – promoting and facilitating the use of forgotten and underused fertility and family planning surveys". As part of this project some micro-data collected in developed countries was retraced and archived at DANS.This package contains micro-data of France, Hungary, Israel, the Netherlands, Sweden, and Great Britain.Individual-level data access is provided via www.ggp-i.org

South Africa ZA: Poverty Gap at $5.50 a Day: 2011 PPP: % data was reported at 29.200 % in 2014. This records an increase from the previous number of 27.700 % for 2010. South Africa ZA: Poverty Gap at $5.50 a Day: 2011 PPP: % data is updated yearly, averaging 36.400 % from Dec 1993 (Median) to 2014, with 7 observations. The data reached an all-time high of 41.300 % in 1996 and a record low of 27.700 % in 2010. South Africa ZA: Poverty Gap at $5.50 a Day: 2011 PPP: % 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: Poverty. Poverty gap at $5.50 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $5.50 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. The aggregated numbers for low- and middle-income countries correspond to the totals of 6 regions in PovcalNet, which include low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia). See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Spain Imports: Africa: South Africa: Impregnated, Coated, Covered or Lamented Textile Articles for Industrial Use data was reported at 1.294 EUR th in Dec 2024. This records a decrease from the previous number of 71.605 EUR th for Nov 2024. Spain Imports: Africa: South Africa: Impregnated, Coated, Covered or Lamented Textile Articles for Industrial Use data is updated monthly, averaging 0.768 EUR th from Jan 1999 (Median) to Dec 2024, with 299 observations. The data reached an all-time high of 777.894 EUR th in Jul 2003 and a record low of 0.000 EUR th in Aug 2024. Spain Imports: Africa: South Africa: Impregnated, Coated, Covered or Lamented Textile Articles for Industrial Use data remains active status in CEIC and is reported by Tax Agency. The data is categorized under Global Database’s Spain – Table ES.JA031: Imports: by Country and Commodity: by 2 Digit HS Code: Africa.

Benin imported all its wheat from Russia as of March 2022, thus being one of the countries most vulnerable to wheat shortages due to the Russian invasion of Ukraine that started in February of the same year. Furthermore, Somalia fully relied on wheat imports from Russia and Ukraine, with Ukrainian supplies accounting for nearly 69 percent of total imports of that commodity.

Industrial Sewing Machine Imports in Africa 2007-2018: Imports, Imports By Country, Imports By Type, Import Prices By Type, Import Prices By Country

South Africa IPI: Weights: Mfg: Furniture & Other Manufacturing Division (FO) data was reported at 4.090 % in 2024. This records a decrease from the previous number of 4.170 % for 2023. South Africa IPI: Weights: Mfg: Furniture & Other Manufacturing Division (FO) data is updated yearly, averaging 4.170 % from Dec 1996 (Median) to 2024, with 29 observations. The data reached an all-time high of 5.800 % in 2004 and a record low of 3.200 % in 2010. South Africa IPI: Weights: Mfg: Furniture & Other Manufacturing Division (FO) data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.B012: Industrial Production Index: Weights.

South Africa ZA: Income Share Held by Highest 20% data was reported at 68.200 % in 2014. This records a decrease from the previous number of 68.900 % for 2010. South Africa ZA: Income Share Held by Highest 20% data is updated yearly, averaging 68.200 % from Dec 1993 (Median) to 2014, with 7 observations. The data reached an all-time high of 71.000 % in 2005 and a record low of 62.700 % in 2000. South Africa ZA: Income Share Held by Highest 20% 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: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Exports of Non-Kaolinitic Clays for Constructional and Industrial Use in Africa 2007-2018: Exports, Exports By Country, Exports By Type, Export Prices By Type, Export Prices By Country

In 2021, the region of North Africa had the highest industrialization index in Africa. Its index score was 0.66 points, compared to an African average of 0.53 index points. The industrialization index assesses the degree of industrialization in a country by considering factors like factory count, industrial output, and industrial employment. A higher index value signifies a more advanced level of industrialization, while a lower value indicates less industrial development.

South Africa ZA: Poverty Headcount Ratio at $3.20 a Day: 2011 PPP: % of Population data was reported at 37.600 % in 2014. This records an increase from the previous number of 35.800 % for 2010. South Africa ZA: Poverty Headcount Ratio at $3.20 a Day: 2011 PPP: % of Population data is updated yearly, averaging 47.800 % from Dec 1993 (Median) to 2014, with 7 observations. The data reached an all-time high of 53.900 % in 1996 and a record low of 35.800 % in 2010. South Africa ZA: Poverty Headcount Ratio at $3.20 a Day: 2011 PPP: % of Population 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: Poverty. Poverty headcount ratio at $3.20 a day is the percentage of the population living on less than $3.20 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. The aggregated numbers for low- and middle-income countries correspond to the totals of 6 regions in PovcalNet, which include low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia). See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

As of 2023, Niger registered the agricultural sector's highest contribution to the GDP in Africa, at over 47 percent. Comoros and Ethiopia followed, with agriculture, forestry, and fishing accounting for approximately 37 percent and 36 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 17 percent of Sub-Saharan Africa’s GDP, growing by over two 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 197 million in 2011 to 230 million in 2021. In proportion, agriculture employed approximately 43 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 113 million and 96.3 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 100 million metric tons in 2021. Additionally, rice production was concentrated in Nigeria, Egypt, Madagascar, and Tanzania.