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In 2017, in Eastern and Southern Africa, 79% of new HIV diagnoses among 10-19-year-olds were in women. Geographical location is not the only factor that affects how HIV impacts women globally: age, race, and financial status also play a key role.įor example, adolescent girls and young women continue to be disproportionately impacted by HIV. HIV in women: Age, race, and financial status Resolving the disproportionate effect that HIV has on women globally is one of the key focus areas of our health equity commitment. These global statistics highlight the importance of representing women in HIV clinical trials and empowering young women to have a voice in the decisions that impact their health.
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5In the UK, HIV in women accounts for a third of people living with HIV, and a quarter of all new HIV diagnoses are in women. 4In 2019, they made up for 19% of the new HIV diagnoses in the United States and dependent areas. 3Īccording to the World Health Organization (WHO), women accounted for approximately one-third (35.3%) of new HIV diagnoses in the European Region in 2018. 3 In all other geographical regions, men and boys accounted for over 70% of the new HIV diagnoses in 2022. In Sub-Saharan Africa, women and girls of all ages made up 63% of all newly acquired HIV diagnoses. 2, 3ĭepending on their geographical location, women are affected differently by HIV. The global HIV statistics for women that year showed that they made up for 53% of that total.
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In 2022, the number of people living with HIV globally was approximately 39 million. The population of women and girls from the ‘other’ ethnic group went up from 0.5% to 1.5% of the female population – for men and boys it went up from 0.6% to 1.HIV has a substantial impact on women's health and quality of life, and women account for the majority of HIV diagnoses worldwide. The population of women and girls in the white ‘other’ ethnic group went up from 4.6% to 6.4% of the female population – for men and boys it went up from 4.3% to 5.9% of the male population The population of white British women and girls went down from 80.6% to 74.1% of the female population – for men and boys it went down from 80.4% to 74.7% of the male population The population of Asian women and girls went up from 7.3% to 9.2% of the female population – for Asian men and boys it went up from 7.7% to 9.3% of the male population The population of men and boys went up for most of the 19 ethnic groups – it went down for the white British and white Irish groups, and stayed the same for the Chinese, black Caribbean, other black, white British, and Gypsy or Irish traveller groups The population of women and girls went up for most of the 19 ethnic groups – it went down for the white British, white Irish, and black Caribbean groups, and stayed the same for the other black, and Gypsy or Irish traveller groups Percentage and counts of the ethnic groups in the overall population by gender overtimeĬensus data for England and Wales shows that, from 2011 to 2021: Percentage and counts of male and female population in each ethnic group overtime See download the data for additional data, including data for 2011. You can find confidence intervals for the data in the interactive tools showing the quality and quality assurance. Read the detailed methodology document for this data. These ethnic groups were slightly different from those used in the 2011 Census ethnic groups.
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The data uses the list of 19 ethnic groups from the 2021 Census. The data has been adjusted to take into account people and households who were not counted or counted incorrectly. The data does not include households that did not answer the question about ethnicity. Percentages have been rounded to 1 decimal place, so some totals may not add up to 100%. It also includes communal establishments, such as care homes and university halls of residences. The split between women and girls, and men and boys is shown for each ethnic group.Ĭensus data includes people in around 25 million private households. The data measures the size of the population of England and Wales by ethnicity and sex, male and female. Things you need to know What the data measures