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Algeria |
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Angola |
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Benin |
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Botswana |
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Burkina Faso |
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Burundi |
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Cameroon |
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Cape Verde |
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Central African Republic |
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Chad |
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Comoros |
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Congo |
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Côte d’Ivoire |
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Djibouti |
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DRC |
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Egypt |
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Equatorial Guinea |
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Eritrea |
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Eswatini |
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Ethiopia |
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Gabon |
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Gambia |
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Ghana |
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Guinea |
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Guinea-Bissau |
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Kenya |
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Lesotho |
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Liberia |
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Libya |
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Madagascar |
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Malawi |
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Mali |
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Mauritania |
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Mauritius |
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Morocco |
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Mozambique |
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Namibia |
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Niger |
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Nigeria |
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Rwanda |
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SADR |
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São Tomé and Príncipe |
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Senegal |
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Seychelles |
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Sierra Leone |
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Somalia |
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South Africa |
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South Sudan |
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Sudan |
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Tanzania |
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Togo |
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Tunisia |
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Uganda |
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Zambia |
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Zimbabwe |
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Maternal, Newborn, Child and Adolescent Health |
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Life expectancy at birth |
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Maternal mortality ratio |
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Stillbirth rate |
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Neonatal mortality rate |
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Infant mortality rate |
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Under 5 mortality rate |
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Antenatal care coverage: 4+ visits |
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Antenatal care coverage: 8+ visits |
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Births attended by skilled health personnel |
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Postpartum care coverage for mothers |
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Postnatal care coverage for newborns |
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Exclusive breastfeeding for infants under 6 months |
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Coverage of first dose of measles vaccination |
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Stunting - short height for age under age 5 |
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Wasting – low weight for height under age 5 |
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Overweight - heavy for height under 5 |
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Sexual and Reproductive Health |
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Child marriage before age 15 |
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Child marriage before age 18 |
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Female genital mutilation |
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Sexual violence by age 18 - female |
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Sexual violence by age 18 - male |
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Very early child bearing under age 16 |
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Adolescent birth rate ages 15 to 19 |
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Contraceptive prevalance rate, modern methods, all women |
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Demand satisfied for modern contraception |
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Communicable Diseases |
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New HIV infections |
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Antiretroviral treatment coverage |
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Preventing mother-to-child transmission of HIV |
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Condom use |
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New TB infections |
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New malaria infections |
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Non-Communicable Diseases |
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Mortality from non-communicable diseases |
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Suicide mortality rate |
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Current tobacco use among females aged 15 and over |
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Current tobacco use among males aged 15 and over |
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Harmful alcohol use aged 15 and over |
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Health Financing |
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External health expenditure as % current health expenditure |
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Government health expenditure as % current health expenditure |
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Government health expenditure as % GDP |
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Government health expenditure as % general govt expenditure |
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Government health expenditure per capita |
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Out-of-pocket health expenditure as % of current health expenditure |
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Percentage of national health budget allocated for reproductive health |
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Health systems and policies |
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Density of health workers - physicians |
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Density of health workers - nurses and midwives |
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Density of health workers - pharmaceutical staff |
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Qualified obstetricians |
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Birth registration |
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At least basic drinking water |
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At least basic sanitation services |
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Open defecation |
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Implementation of AMRH Initiative |
| Full Name: | HIV incidence per 1000 population (adults 15-49 years) |
| Full Unit: | Per 1,000 population age 15-49y |
| Year-range of Data: | 2017 |
| Source: | Global SDG Indicators Database |
| Link to Source: | https://unstats.un.org/sdgs/indicators/database/ |
| Date Source Published: | 2018 |
| Date Source Accessed: | 25th April 2019 |
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The following countries had no data: |
This indicator is defined as the number of new HIV infections per 1,000 person-years among the population that is not infected, aged 15-49 years. This is the number of new cases per population at risk in a given time period, referred to as the incidence rate. The uninfected population is the total population minus the people living with HIV.
The rate of people newly infected by HIV over time is a measure of progress toward preventing onward transmission of HIV. Determining the number of new HIV infections is important for monitoring epidemic trends and the dynamics of a population. This is an indicator for monitoring Sustainable Development Goal 3. Ensure healthy lives and promote well-being for all at all ages; Target 3.3: By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases. It is also an indicator for monitoring the Global Strategy for Women's, Children's and Adolescents' Health (2016-2030).
The preferred sources of data are household or key population surveys with HIV incidence-testing, as well as spectrum modelling surveillance systems. Other possible data sources are regular surveillance systems among key populations. It is preferred to directly measure at the population level. If this is not possible, countries rely on indirect measures or the triangulation of direct and indirect methods.
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More about indicator and sources
In the data source, values for Egypt (1990-2001) and Tunisia (1990-1994) are reported as <0.01%, AHStats displays these values as 0.01%.
More information on calculations
Methods for monitoring incidence can vary depending on the epidemic setting and are typically categorised either as direct or indirect measures. Direct measurement at the population level is preferred but is often difficult to obtain. Most countries rely on indirect measures or the triangulation of direct and indirect methods. Direct measures include longitudinal follow-up and repeat testing of individuals who do have HIV infection, and estimation using a laboratory test for recent HIV infection and clinical data in the population. Indirect measures most frequently depend on estimates determined by mathematical modelling tools, such as Spectrum or the Asian Epidemic Model.
For more information, download the UNAIDS Monitoring Report 2017: http://www.unaids.org/sites/default/files/media_asset/2017-Global-AIDS-Monitoring_en.pdf
