In 2023, the infant mortality rate in deaths per 1,000 live births in Ethiopia was 35.7. Between 1966 and 2023, the figure dropped by 122.3, though the decline followed an uneven course rather than a steady trajectory.

Ethiopia ET: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 52.100 Ratio in 2017. This records a decrease from the previous number of 57.400 Ratio for 2015. Ethiopia ET: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 75.700 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 188.500 Ratio in 1990 and a record low of 52.100 Ratio in 2017. Ethiopia ET: Mortality Rate: Under-5: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank.WDI: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

Ethiopia ET: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 36.000 Ratio in 2016. This records a decrease from the previous number of 37.400 Ratio for 2015. Ethiopia ET: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 47.400 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 108.700 Ratio in 1990 and a record low of 36.000 Ratio in 2016. Ethiopia ET: Mortality Rate: Infant: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

In 2023, the crude birth rate in live births per 1,000 inhabitants in Ethiopia amounted to 31.9. Between 1960 and 2023, the figure dropped by 15.97, though the decline followed an uneven course rather than a steady trajectory.

UNICEF's country profile for Ethiopia, including under-five mortality rates, child health, education and sanitation data.

BackgroundEthiopia has scaled up its community-based programs over the past decade by training and deploying health extension workers (HEWs) in rural communities throughout the country. Consequently, child mortality has declined substantially, placing Ethiopia among the few countries that have achieved the United Nations’ fourth Millennium Development Goal. As Ethiopia continues its efforts, results must be assessed regularly to provide timely feedback for improvement and to generate further support for programs. More specifically the expansion of HEWs at the community level provides a unique opportunity to build a system for real-time monitoring of births and deaths, linked to a civil registration and vital statistics system that Ethiopia is also developing. We tested the accuracy and completeness of births and deaths reported by trained HEWs for monitoring child mortality over 15 -month periods.Methods and FindingsHEWs were trained in 93 randomly selected rural kebeles in Jimma and West Hararghe zones of the Oromia region to report births and deaths over a 15-month period from January, 2012 to March, 2013. Completeness of number of births and deaths, age distribution of deaths, and accuracy of resulting under-five, infant, and neonatal mortality rates were assessed against data from a large household survey with full birth history from women aged 15–49. Although, in general HEWs, were able to accurately report events that they identified, the completeness of number of births and deaths reported over twelve-month periods was very low and variable across the two zones. Compared to household survey estimates, HEWs reported only about 30% of births and 21% of under-five deaths occurring in their communities over a twelve-month period. The under-five mortality rate was under-estimated by around 30%, infant mortality rate by 23% and neonatal mortality by 17%. HEWs reported disproportionately higher number of deaths among the very young infants than among the older children.ConclusionBirth and death data reported by HEWs are not complete enough to support the monitoring of changes in childhood mortality. HEWs can significantly contribute to the success of a CRVS in Ethiopia, but cannot be relied upon as the sole source for identification of vital events. Further studies are needed to understand how to increase the level of completeness.

Actual value and historical data chart for Ethiopia Mortality Rate Infant Female Per 1000 Live Births

Comparison of expected births and deaths (based on endline survey) and reported births and deaths by HEWs, for 12-month validation periods, January, 2012 to March, 2013.

Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Ethiopia. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 31.90 per mille as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.51 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.51.The 3 year change in percentage points is -1.41.The 5 year change in percentage points is -1.49.The 10 year change in percentage points is -1.74.The Serie's long term average value is 45.11 per mille. It's latest available value, on 12/31/2023, is 13.21 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0.The Serie's change in percentage points from it's maximum value, on 12/31/1985, to it's latest available value, on 12/31/2023, is -19.66.

Mortality rate, neonatal (per 1,000 live births) in Ethiopia was reported at 27.4 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Mortality rate; neonatal (per 1;000 live births) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Descriptive characteristics of the respondents in the Tigray regional state, Ethiopia, 2016 (n = 716).

The bi-variable and multivariable binary logistic regression analysis of predictor factors associated with neonatal mortality among neonates in the Tigray regional state, 2016 (n = 716).

Operational definition and category of independent variables used in the study.

Ethiopia ET: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 27.600 Ratio in 2016. This records a decrease from the previous number of 28.500 Ratio for 2015. Ethiopia ET: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 51.700 Ratio from Dec 1977 (Median) to 2016, with 40 observations. The data reached an all-time high of 66.700 Ratio in 1980 and a record low of 27.600 Ratio in 2016. Ethiopia ET: Mortality Rate: Neonatal: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries.

Neonatal mortality rate (deaths per 1000 live births) in Ethiopia disaggregated by economic status, education, residence and sex across four time periods (2000, 2005, 2011, 2016).

Perinatal mortality rate by socio demographic characteristics of mothers who were pregnant and give birth during 5 years preceding the 2016 EDHS survey.

Abstract

Arba Minch HDSS operates in nine Kebeles (the smallest administrative unit in Ethiopia) of the Arba Minch Zuria district starting form 2009 (the distric have 31 Kebeles). One of the Kebele is urban and the remaining eight are rural. Census was conducted in 2009 updating has been conducted every 6 month (biannually). During each round, the site collects information related to births, deaths, marriages and migrations (Core data of the site).

The main objective of the site is to monitor basic vital events indicators and generate relevant health, demographic and socioeconomic information for policies and programs. In addition, the site will supports graduate and post graduate level research undertakings and conduct molecular to population level collaborative research with local and international stakeholders. Mortality has been measured using WHO Verbal autopsy questionnaire (2007 and 2012 WHO-VA questionnaire) and cause of death are examined. Use of WHO-VA questionnaire 2012 model was started from September 2014. Another basic objective is to study changes in marriage and fertility patterns, household, family and kinship. During the census, there were 63,276 (49.46% female) individuals in the Kebeles of the site living in 12,907 households.

Geographic coverage

Demographic Surveillance area situated in Southern Nations, Nationalities and Peoples Region (SNNPR) of Ethiopia, which is located to the south part of the country.

Analysis unit

Individual

Universe

The demographic surveillance covered currently resident household members of all Kebeles (small adminstratiove units in Ethiopia).

Kind of data

Event history data

Frequency of data collection

Two rounds per year

Sampling procedure

This dataset is not based on a sample but contains information from the complete demographic surveillance area.

Sampling deviation

Not Applicable

Mode of data collection

Proxy Respondent [proxy]

Research instrument

• Household register
• Pregnancy outcome form
• Pregnancy observation form
• In migration form
• Out migration form
• Death form
• Marital change form

Response rate

Year Response Rate 2009 100% 2010 100% 2011 100% 2012 100% 2013 100% 2014 100%

Sampling error estimates

Not applicable

Data appraisal

CentreId MetricTable QMetric Illegal Legal Total Metric RunDate ET061 MicroDataCleaned Starts 100876 2017-05-18 11:42
ET061 MicroDataCleaned Transitions 0 235728 235728 0 2017-05-18 11:43
ET061 MicroDataCleaned Ends 100876 2017-05-18 11:43
ET061 MicroDataCleaned SexValues 235728 2017-05-18 11:43
ET061 MicroDataCleaned DoBValues 8 235720 235728 0 2017-05-18 11:43

Variability at community-level and model comparison for perinatal mortality among women’s in the 5 years preceding the survey in Ethiopia, EDHS, 2016.

BackgroundEthiopia is among the countries with the highest neonatal mortality with the rate of 37 deaths per 1000 live births. In spite of many efforts by the government and other partners, non-significant decline has been achieved in the last 15 years. Thus, identifying the determinants and causes are very crucial for policy and program improvement. However, studies are scarce in the country in general and in Jimma zone in particular.ObjectiveTo identify the determinants and causes of neonatal mortality in Jimma Zone, Southwest Ethiopia.MethodsA prospective follow-up study was conducted among 3463 neonates from September 2012 to December 2013. The data were collected by interviewer-administered structured questionnaire and analyzed by SPSS V.20.0 and STATA 13. Verbal autopsies were conducted to identify causes of neonatal death. Mixed-effects multilevel logistic regression model was used to identify determinants of neonatal mortality.ResultsThe status of neonatal mortality rate was 35.5 (95%CI: 28.3, 42.6) per 1000 live births. Though significant variation existed between clusters in relation to neonatal mortality, cluster-level variables were found to have non-significant effect on neonatal mortality. Individual-level variables such as birth order, frequency of antenatal care use, delivery place, gestation age at birth, premature rupture of membrane, complication during labor, twin births, size of neonate at birth and neonatal care practice were identified as determinants of neonatal mortality. Birth asphyxia (47.5%), neonatal infections (34.3%) and prematurity (11.1%) were the three leading causes of neonatal mortality accounting for 93%.ConclusionsThis study revealed high status of neonatal mortality in the study area. Higher-level variables had less importance in determining neonatal mortality. Individual level variables related to care during pregnancy, intra-partum complications and care, neonatal conditions and the immediate neonatal care practices were identified as determinant factors. Improving antenatal care, intra-partum care and immediate neonatal care are recommended.

BackgroundsNeonatal death is the major problem in developing world. Burden and predictors of neonatal mortality vary across countries and even among regions of a country, so understanding the problem concerning these factors is essential to overcome the problem. Therefore, this study aimed to determine time to death and its predictors of neonatal mortality among neonates who were admitted to the neonatal intensive care unit of Tertiary Hospital, Addis Ababa, Ethiopia.MethodsA hospital-based retrospective cohort study was employed among 434 neonates admitted in Tertiary hospital, Addis Ababa, Ethiopia. A Kaplan Meier curve and a log-rank test were used to estimate the survival time and compare survival curves between variables. The cox proportional hazard model was also fitted to identify predictors.ResultsA total of 434 neonates included in the study, 11.1% of which were died, and the incidence rate was 19.2 per 1000 live births. The time to death of neonates was 17 days. Independent predictors of neonatal mortality were incomplete maternal antenatal follow up[AHR: 3.7 (95% CI:1.86,7.60)], low(Appearance, Pulse, Grimily, Activity, and Respiration(APGAR)score[AHR:5.0 (95%CI:1.51–15.04)], perinatal asphyxia [AHR:5.2 (95%CI:1.92–14.30)], preterm 4.2 (95%CI: 1.32–8.83)]. Moreover, small for gestational age [AHR:4.8 (95%CI:2.33–9.72)], respiratory distress[AHR: 2.5 (95%CI: 1.24–5.09)], sepsis [AHR: 3.4 (95%CI: 1.71–4.01)], low birth weight[AHR: 7.3 (95%CI:2.69,1.91)], and tracheoesophageal fistula [AHR: 2.2 (95%CI: 1.13–4.32)].ConclusionThe overall incidence rate was 19.2 deaths per 1,000 live births. Emphasis should be given to incomplete Antenatal care follow up, small for gestation, preterm, low birth weight, low 5th min APGAR score, neonatal sepsis, respiratory distress, perinatal asphyxia, and tracheoesophageal fistula.