As of January 2024, women in the age group of 25 to 34 years accounted for 15.8 percent of social media users in South Africa. This was higher compared to 14.9 percent for men in the same age bracket. Female young adults aged 13 to 17 years also accounted for 15.8 percent of social media audiences in South Africa. In all age groups, the share of women users was higher (except individuals between 35 and 44).

ZA: Part Time Employment: Female: % of Total Female Employment data was reported at 16.760 % in 2017. This records an increase from the previous number of 16.380 % for 2016. ZA: Part Time Employment: Female: % of Total Female Employment data is updated yearly, averaging 15.885 % from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 16.760 % in 2017 and a record low of 14.200 % in 2011. ZA: Part Time Employment: Female: % of Total Female Employment 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: Employment and Unemployment. Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.; ; International Labour Organization, Key Indicators of the Labour Market database.; Weighted average; Relevance to gender indicator: More and more women are working part-time and one of the concern is that part time work does not provide the stability that full time work does.

BackgroundEndometrial cancer is the sixth leading cause of cancer among females and about 97,000 global deaths of endometrial cancer. The changes in the trends of obesity, fertility rates and other risk factors in South Africa (SA) may impact the endometrial cancer trends. The aim of this study was to utilise the age period cohort and join point regression modelling to evaluate the national and ethnic trends in endometrial cancer mortality in South Africa over a 20year period (1999–2018).MethodsData from Statistics South Africa was obtained to calculate the annual number of deaths, and annual crude and age standardised mortality rates (ASMR) of endometrial cancer from 1999–2018. The overall and ethnic trends of endometrial cancer mortality was assessed using the Join point regression model, while Age-period-cohort (APC) regression modelling was conducted to estimate the effect of age, calendar period and birth cohort.ResultsDuring the period 1999–2018, 4,877 deaths were due to endometrial cancer which constituted about 3.6% of breast and gynecological cancer deaths (3.62%, 95% CI: 3.52%–3.72%) in South Africa. The ASMR of endometrial cancer doubled from 0.76 deaths per 100,000 women in 1999 to 1.5 deaths per 100,000 women in 2018, with an average annual rise of 3.6% per annum. (Average Annual Percentage change (AAPC): 3.6%, 95%CI:2.7–4.4, P-value < 0.001). In 2018, the overall mean age at death for endometrial cancer was was 67.40 ± 11.04 years and, the ASMR of endometrial cancer among Indian/Asians (1.69 per 100,000 women), Blacks (1.63 per 100,000 women) and Coloreds (1.39 per 100,000 women) was more than doubled the rates among Whites (0.66 deaths per 100,000 women). Indian/Asians had stable rates while other ethnic groups had increased rates. The Cohort mortality risk ratio (RR) of endometrial cancer increased with successive birth cohort from 1924 to 1963 (RR increased from 0.2 to 1.00), and subsequently declined among successive cohorts from 1963 to 1998 (1.00 to 0.09). There was strong age and cohort but not period effect among the South African women. Ethnic disparity showed that there was age effect among all the ethnic groups; Cohort effect among Blacks and Coloureds only, while Period effect occurred only among Blacks.ConclusionsThe mortality rates of endometrial cancer doubled over a twenty-year period in South Africa from 1999–2018. There was strong ethnic disparity, with age and cohort effect on endometrial cancer trends. Thus, targeted efforts geared towards prevention and prompt treatment of endometrial cancer among the high-risk groups should be pursued by stake holders.

South Africa ZA: Proportion of Seats Held by Women in National Parliaments data was reported at 42.000 % in 2018. This records an increase from the previous number of 41.800 % for 2017. South Africa ZA: Proportion of Seats Held by Women in National Parliaments data is updated yearly, averaging 32.900 % from Mar 1991 (Median) to 2018, with 22 observations. The data reached an all-time high of 44.500 % in 2011 and a record low of 2.800 % in 1991. South Africa ZA: Proportion of Seats Held by Women in National Parliaments 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: Policy and Institutions. Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.; ; Inter-Parliamentary Union (IPU) (www.ipu.org).; Weighted average; General cut off date is end-December. Relevance to gender indicator: Women are vastly underrepresented in decision making positions in government, although there is some evidence of recent improvement. Gender parity in parliamentary representation is still far from being realized. Without representation at this level, it is difficult for women to influence policy.

Over 60 percent of the seats in Rwanda's national parliament were held by women as of December 2022. The country had the strongest female participation in politics in Africa. It also ranked first globally, with the highest proportion of women in power in lower houses than in any other nation. Second in the African ranking, Senegal registered 46 percent of parliamentary seats occupied by females. South Africa, Namibia, and Mozambique also recorded a level of women participation above 40 percent. The best performing countries regarding female representation had in common the adoption of electoral quotas for women, a condition not present in the nations on the bottom of the ranking. In the last position, Nigeria had only 3.9 percent of women holding seats in the country's House of Representatives.

For those born in 2024, the average life expectancy at birth across Africa was 62 years for men and 66 years for women. The average life expectancy globally was 71 years for men and 76 years for women in mid-2024. Additional information on life expectancy in Africa With the exception of North Africa where life expectancy is around the worldwide average for men and women, life expectancy across all African regions paints a negative picture. Comparison of life expectancy by continent shows the gap in average life expectancy between Africa and other continents. Africa trails Asia, the continent with the second lowest average life expectancy, by 10 years for men and 11 years for women. Life expectancy in Africa is the lowest globally Moreover, countries from across the African regions dominate the list of countries with the lowest life expectancy worldwide. Nigeria and Chad had the lowest life expectancy for those born in 2024 for women and men, respectively. However, there is reason for hope despite the low life expectancy rates in many African countries. The Human Development index rating in Sub-Saharan Africa has increased significantly from nearly 0.44 to 0.57 between 2000 and 2023, demonstrating an improvement in quality of life and, as a result, greater access to vital services that allow people to live longer lives. One such improvement has been successful efforts to reduce the rate of aids infection and research into combating its effects. The number of new HIV infections across sub-Saharan Africa has decreased from over 1.3 million in 2015 to close to 650,000 in 2024. However, the sub-region still accounts for 50 percent of the total new HIV infections.

BackgroundPreeclampsia is a potentially life-threatening pregnancy complication. Among women whose pregnancies are complicated by preeclampsia, the Preeclampsia Integrated Estimate of RiSk (PIERS) models (i.e., the PIERS Machine Learning [PIERS-ML] model, and the logistic regression-based fullPIERS model) accurately identify individuals at greatest or least risk of adverse maternal outcomes within 48 h following admission. Both models were developed and validated to be used as part of initial assessment. In the United Kingdom, the National Institute for Health and Care Excellence (NICE) recommends repeated use of such static models for ongoing assessment beyond the first 48 h. This study evaluated the models’ performance during such consecutive prediction.Methods and findingsThis multicountry prospective study used data of 8,843 women (32% white, 30% black, and 26% Asian) with a median age of 31 years. These women, admitted to maternity units in the Americas, sub-Saharan Africa, South Asia, Europe, and Oceania, were diagnosed with preeclampsia at a median gestational age of 35.79 weeks between year 2003 and 2016. The risk differentiation performance of the PIERS-ML and fullPIERS models were assessed for each day within a 2-week post-admission window. The PIERS adverse maternal outcome includes one or more of: death, end-organ complication (cardiorespiratory, renal, hepatic, etc.), or uteroplacental dysfunction (e.g., placental abruption). The main outcome measures were: trajectories of mean risk of each of the uncomplicated course and adverse outcome groups; daily area under the precision-recall curve (AUC-PRC); potential clinical impact (i.e., net benefit in decision curve analysis); dynamic shifts of multiple risk groups; and daily likelihood ratios. In the 2 weeks window, the number of daily outcome events decreased from over 200 to around 10. For both PIERS-ML and fullPIERS models, we observed consistently higher mean risk in the adverse outcome (versus uncomplicated course) group. The AUC-PRC values (0.2–0.4) of the fullPIERS model remained low (i.e., close to the daily fraction of adverse outcomes, indicating low discriminative capacity). The PIERS-ML model’s AUC-PRC peaked on day 0 (0.65), and notably decreased thereafter. When categorizing women into multiple risk groups, the PIERS-ML model generally showed good rule-in capacity for the “very high” risk group, with positive likelihood ratio values ranging from 70.99 to infinity, and good rule-out capacity for the “very low” risk group where most negative likelihood ratio values were 0. However, performance declined notably for other risk groups beyond 48 h. Decision curve analysis revealed a diminishing advantage for treatment guided by both models over time. The main limitation of this study is that the baseline performance of the PIERS-ML model was assessed on its development data; however, its baseline performance has also undergone external evaluation.ConclusionsIn this study, we have evaluated the performance of the fullPIERS and PIERS-ML models for consecutive prediction. We observed deteriorating performance of both models over time. We recommend using the models for consecutive prediction with greater caution and interpreting predictions with increasing uncertainty as the pregnancy progresses. For clinical practice, models should be adapted to retain accuracy when deployed serially. The performance of future models can be compared with the results of this study to quantify their added value.

As of 2022, almost 245 thousand births out of the total births registered in South Africa occurred among mothers between the ages of 30 and 34 years. Women older than this age group showed a decreasing number of birth registrations.

Botswana was the leading African country for favoring women's entrepreneurship in 2021. In the Mastercard Index of Women Entrepreneurs (MIWE), the country scored **** points and was followed by South Africa (****) and Ghana (****). According to the index, these nations not only have a high percentage of female-owned businesses but also formally support women entrepreneurs. Worldwide, male-owned businesses are prevalent in both developing and developed countries, with women often suffering from gender discrimination and burdening family responsibilities. Moreover, in developing nations, it is common to establish entrepreneurial activities out of necessity.

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.

As of 2020, around **** percent of young women in Sub-Saharan Africa were married before the age of **. Child marriage was a common practice in the region. In the Central African Republic, one out of four young women were married or in a union before turning 15 years. Chad registered a similar rate - ** percent. On the other hand, South Africa and Lesotho were the countries with the lowest share of girls marrying before **, at around *** percent.

This statistic provides a comparison of the average amount of time spent leisure activities by gender in OECD member countries as well as China, India and South Africa. As of 2016, women in Portugal spent an average of 200 minutes per day on leisure activities rather low when compared with women from Norway who spent an average of 355 minutes.

This statistic provides a comparison of the average amount of time spent on routine housework by gender in OECD member countries as well as China, India and South Africa. As of 2016, Portuguese men spent 51 minutes per day on unpaid work on average while for women the average was 253 minutes.