Universal health coverage and the Sustainable Development Goals in the WHO African Region
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This data set represents the best estimates of WHO using methodologies for specific indicators that aim for comparability across countries and time; they are updated as more recent or revised data become available, or when there are changes to the methodology being used. Therefore, they are not alwa...ys the same as official national estimates, although WHO whenever possible will provide Member States the opportunity to review and comment on data and estimates as part of country consultations. Note that these numbers are subject to change due to ongoing reclassification, retrospective investigation and availability of laboratory results. Please check the Indicator and Measurement Registry for indicator specific information.
In this section you will find data and statisticss:
Countries with intense transmission
Other affected countries
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COVID-19 has turned the world upside down. Everything has been impacted. How we live and interact with each other, how we work and communicate, how we move around and travel. Every aspect of our lives has been affected.
Female Genital Mutilation in Mali: Insights from a statistical analysis Mali is home to nearly 8 million girls and women who have experienced FGM. Overall, 89 per cent of girls and women aged 15 to 49 years have undergone the practice, ranging from 96 per cent in Sikasso region to 1 per cent or less... in Gao and Kidal
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Senegal is home to nearly 2 million girls and women who have experienced FGM. Overall, 25 per cent of girls and women have undergone the practice, varying from over 90 per cent in Kédougou to just under 1 per cent in Diourbel
Over 400,000 girls and women in Guinea-Bissau alive today have experienced FGM. Overall, 52 per cent of girls and women aged 15 to 49 years have undergone the practice, varying from 96 per cent in Gabu region to 8 per cent in Biombo
This report complements the previous poverty analysis studies by presenting a series of poverty maps of Rwanda at cell and sector levels, based on data from EICV4 and the 2012 Population and Housing Census. A poverty map is simply a map that shows the incidence of poverty in different areas of the c...ountry. It allows the viewer to appreciate, at a glance, the geographic dimensions of poverty. Apart from their intrinsic interest, poverty maps may be used to help guide the allocation of resources across local agencies or governmental units, in an effort to better target efforts to reach the poor by pinpointing the small areas of most need.
In 2015, the National Institute of Statistics of Rwanda (NISR) published the Rwanda Poverty Profile Report which provided a detailed portrait of the extent and nature of poverty in the country, while in 2016 a Poverty Trends Analysis Report which complements the Profile study by looking at the trends in poverty between 2010/11 and 2013/14 was also published. Both reports were based on information collected by an integrated household living conditions survey (EICV4) undertaken between October 2013 and September 2014.
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This report provides an update on the level of poverty based on 2013/14 Integrated Household Living Conditions Survey (EICV4) focusing on poverty as measured in consumption terms. The report also highlights other trend dimensions of living conditions captured in other surveys that complement and pro...vide a holistic understanding of poverty and living conditions.
Rwanda’s economy has been growing steadily at about 8% since 2001 with GDP per capita more than tripling from US$ 211 in 2001 to US$ 718 in 2014. Food crop production growth was more than twice that of population growth between 2007 and 2014.
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