A survey conducted in February 2022 showed that ** percent of the African respondents considered employment opportunities as the main challenge faced by women on the continent. The second-leading issue was gender-based violence, as reported by ** percent of the respondents. Other main challenges for Africa's female population were access to education, child marriage, and gender equality.

In 2022, around 46 percent of the male population in Sub-Saharan Africa used the internet. In contrast, the internet usage rate was lower among women, as approximately 34 percent of the female population used the internet.

As of 2019, the Gender Parity Score (GPS) revealed a high gap between men and women in Africa, both in society and at work. The average GPS in the continent stood at **** points, a result indicating high gender inequality. Among the countries, South Africa had the best performance, reaching medium inequality, with the GPS at **** points. Most African countries were, however, far from scoring ***, which represents parity among men and women. Burkina Faso, Liberia, Mauritania, Mali, and Niger recorded the least advanced scenario for women. In those countries, the GPS equaled or stood under ***, indicating extremely high gender inequality.

South Africa ZA: Population: as % of Total: Female: Aged 15-64 data was reported at 65.285 % in 2017. This records an increase from the previous number of 65.252 % for 2016. South Africa ZA: Population: as % of Total: Female: Aged 15-64 data is updated yearly, averaging 56.847 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 65.285 % in 2017 and a record low of 53.429 % in 1964. South Africa ZA: Population: as % of Total: Female: Aged 15-64 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: Population and Urbanization Statistics. Female population between the ages 15 to 64 as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

South Africa ZA: Population: Female: Ages 35-39: % of Female Population data was reported at 7.063 % in 2017. This records an increase from the previous number of 6.927 % for 2016. South Africa ZA: Population: Female: Ages 35-39: % of Female Population data is updated yearly, averaging 5.849 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7.063 % in 2017 and a record low of 5.200 % in 1983. South Africa ZA: Population: Female: Ages 35-39: % of Female 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: Population and Urbanization Statistics. Female population between the ages 35 to 39 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

South Africa ZA: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 54.600 % in 2016. This records a decrease from the previous number of 59.900 % for 2003. South Africa ZA: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 55.450 % from Dec 1980 (Median) to 2016, with 6 observations. The data reached an all-time high of 59.900 % in 2003 and a record low of 48.000 % in 1980. South Africa ZA: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 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: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.

Financial overview and grant giving statistics of Fund for the Education of Women of Africa Inc.

These files contain data and code to replicate figures and tables in "Time Use and Gender in Africa in Times of Structural Transformation", by Taryn Dinkelman and L. Rachel Ngai. Abstract: Many African countries are still in the early stages of structural transformation. Typically, as economies move through the structural transformation, activities once conducted within the household are outsourced to the market. This has particular implications for women’s time use. In this paper, we document that current patterns of female time use in home production in several African countries closely resemble historical time use patterns in the US. We highlight two stylized facts about women’s time use in Africa. First, in North Africa, women spend very few hours in market work and female labor force participation overall is extremely low. Second, although extensive margin participation of women is high in sub-Saharan Africa, women tend to work in the market for only a few hours each week, with the rest of their work hours spent in home production. These two facts suggest two different types of constraints that could slow down the reallocation of female time from home to market as economies grow: Social norms related to women’s market work, and a lack of infrastructure (e.g. household infrastructure and childcare facilities) to facilitate marketizing home production. We discuss recent empirical evidence related to each set of constraints and highlight new avenues for research.

Financial overview and grant giving statistics of Women Entrepreneurs for Africa

South Africa ZA: Literacy Rate: Youth Female: % of Females Aged 15-24 data was reported at 99.229 % in 2015. This records an increase from the previous number of 99.084 % for 2014. South Africa ZA: Literacy Rate: Youth Female: % of Females Aged 15-24 data is updated yearly, averaging 98.901 % from Dec 1980 (Median) to 2015, with 9 observations. The data reached an all-time high of 99.271 % in 2012 and a record low of 84.973 % in 1980. South Africa ZA: Literacy Rate: Youth Female: % of Females Aged 15-24 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: Education Statistics. Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

According to the latest data, as of 2018, gender-based violence against girls and women was higher in Sub-Saharan Africa than in the Northern African region. Over ********* of girls and women were subject to physical or sexual violence by current or former partners in Sub-Saharan Africa. In North Africa, the share stood at nearly ** percent. Both regions stood above the world average of **** percent.

Graph and download economic data for Infra-Annual Labor Statistics: Employment Rate Female: From 15 to 64 Years for South Africa (LREM64FEZAQ156N) from Q3 2000 to Q2 2025 about employment-population ratio, South Africa, 15 to 64 years, females, population, employment, and rate.

South Africa ZA: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.030 Ratio in 2016. This stayed constant from the previous number of 1.030 Ratio for 2015. South Africa ZA: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.030 Ratio from Dec 1962 (Median) to 2016, with 20 observations. The data reached an all-time high of 1.030 Ratio in 2016 and a record low of 1.030 Ratio in 2016. South Africa ZA: Sex Ratio at Birth: Male Births per Female Births 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: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;

Statistics illustrates consumption, production, prices, and trade of Ensembles; women's or girls', of cotton, knitted or crocheted in Africa from 2007 to 2024.

BackgroundStudies on the barriers migrant women face when trying to access healthcare services in South Africa have emphasized economic factors, fear of deportation, lack of documentation, language barriers, xenophobia, and discrimination in society and in healthcare institutions as factors explaining migrants’ reluctance to seek healthcare. Our study aims to visualize some of the outcome effects of these barriers by analyzing data on maternal death and comparing the local population and black African migrant women from the South African Development Countries (SADC) living in South Africa. The heightened maternal mortality of black migrant women in South Africa can be associated with the hidden costs of barriers migrants face, including xenophobic attitudes experienced at public healthcare institutions.MethodsOur analysis is based on data on reported causes of death (COD) from the South African Department of Home Affairs (DHA). Statistics South Africa (Stats SA) processed the data further and coded the cause of death (COD) according to the WHO classification of disease, ICD10. The dataset is available on the StatsSA website (http://nesstar.statssa.gov.za:8282/webview/) for research and statistical purposes. The entire dataset consists of over 10 million records and about 50 variables of registered deaths that occurred in the country between 1997 and 2018. For our analysis, we have used data from 2002 to 2015, the years for which information on citizenship is reliably included on the death certificate. Corresponding benchmark data, in which nationality is recorded, exists only for a 10% sample from the population and housing census of 2011. Mid-year population estimates (MYPE) also exist but are not disaggregated by nationality. For this reason, certain estimates of death proportions by nationality will be relative and will not correspond to crude death rates.ResultsThe total number of female deaths recorded from the years 2002 to 2015 in the country was 3740.761. Of these, 99.09% (n = 3,707,003) were deaths of South Africans and 0.91% (n = 33,758) were deaths of SADC women citizens. For maternal mortality, we considered the total number of deaths recorded for women between the ages of 15 and 49 years of age and were 1,530,495 deaths. Of these, deaths due to pregnancy-related causes contributed to approximately 1% of deaths. South African women contributed to 17,228 maternal deaths and SADC women to 467 maternal deaths during the period under study. The odds ratio for this comparison was 2.02. In other words, our findings show the odds of a black migrant woman from a SADC country dying of a maternal death were more than twice that of a South African woman. This result is statistically significant as this odds ratio, 2.02, falls within the 95% confidence interval (1.82–2.22).ConclusionThe study is the first to examine and compare maternal death among two groups of women, women from SADC countries and South Africa, based on Stats SA data available for the years 2002–2015. This analysis allows for a better understanding of the differential impact that social determinants of health have on mortality among black migrant women in South Africa and considers access to healthcare as a determinant of health. As we examined maternal death, we inferred that the heightened mortality among black migrant women in South Africa was associated with various determinants of health, such as xenophobic attitudes of healthcare workers toward foreigners during the study period. The negative attitudes of healthcare workers toward migrants have been reported in the literature and the media. Yet, until now, its long-term impact on the health of the foreign population has not been gaged. While a direct association between the heightened death of migrant populations and xenophobia cannot be established in this study, we hope to offer evidence that supports the need to focus on the heightened vulnerability of black migrant women in South Africa. As we argued here, the heightened maternal mortality among migrant women can be considered hidden barriers in which health inequality and the pervasive effects of xenophobia perpetuate the health disparity of SADC migrants in South Africa.

The proportion of seats held by women in the national parliament in Sub-Saharan Africa saw no significant changes in 2024 in comparison to the previous year 2023 and remained at around 26.88 percent. With a decline of 0.2 percentage points (-0.74 percent), there is no significant change to 2023. The proportion of seats by women are the percentage of parliamentary seats in a single or lower chamber held by women.

ZA: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 25.800 % in 2016. This records an increase from the previous number of 25.500 % for 2015. ZA: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 31.400 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 38.200 % in 1990 and a record low of 25.300 % in 2014. ZA: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 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: Health Statistics. Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted Average;

Statistics illustrates consumption, production, prices, and trade of Briefs and panties; women's or girls', of cotton, knitted or crocheted in Africa from Jan 2019 to Nov 2025.

South Africa ZA: Unmet Need for Contraception: % of Married Women Aged 15-49 data was reported at 14.700 % in 2016. This records an increase from the previous number of 13.800 % for 2004. South Africa ZA: Unmet Need for Contraception: % of Married Women Aged 15-49 data is updated yearly, averaging 14.700 % from Dec 1998 (Median) to 2016, with 3 observations. The data reached an all-time high of 16.500 % in 1998 and a record low of 13.800 % in 2004. South Africa ZA: Unmet Need for Contraception: % of Married Women Aged 15-49 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: Health Statistics. Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.; ; Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.; Weighted average; Unmet need for contraception measures the capacity women have in achieving their desired family size and birth spacing. Many couples in developing countries want to limit or postpone childbearing but are not using effective contraception. These couples have an unmet need for contraception. Common reasons are lack of knowledge about contraceptive methods and concerns about possible side effects.

South Africa ZA: Population: as % of Total: Female: Aged 0-14 data was reported at 28.216 % in 2017. This records a decrease from the previous number of 28.417 % for 2016. South Africa ZA: Population: as % of Total: Female: Aged 0-14 data is updated yearly, averaging 39.100 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 42.389 % in 1966 and a record low of 28.216 % in 2017. South Africa ZA: Population: as % of Total: Female: Aged 0-14 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: Population and Urbanization Statistics. Female population between the ages 0 to 14 as a percentage of the total female population. Population is based on the de facto definition of population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.