Definition of health indicators:
Adolescent fertility rate (births per 1,000 women ages 15-19): Adolescent fertility rate is the number of births per 1,000 women ages 15-19.
Births attended by skilled health staff (% of total): Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.
Contraceptive prevalence (% of women ages 15-49): 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 married women ages 15-49 only.
Maternal mortality ratio (modeled estimate, per 100,000 live births): Maternal mortality ratio is the number of women who die during pregnancy and childbirth, per 100,000 live births. The data are estimated with a regression model using information on fertility, birth attendants, and HIV prevalence.
Pregnant women receiving prenatal care (%): Pregnant women receiving prenatal care is the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.
Pregnant women receiving prenatal care of at least four visits (% of pregnant women): Pregnant women receiving prenatal care of at least for visits is the percentage of women aged 15–49 with a live birth in a given time period that received prenatal care by any provider four or more times during their pregnancy.
Prevalence of HIV (% ages 15-24): Prevalence of HIV is the percentage of people who are infected with HIV. Youth rates are as a percentage of the relevant age group.
Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant): Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.
The SEDLAC (CEDLAS and WB) harmonization is an effort to increase cross-country comparability. However, methodological changes in the underlying surveys may result in non-comparable data that the harmonization process cannot fully solve. It is important that the user know what data is and is not comparable. For more information, visit the comparability dashboard.