Rwanda Infant Mortality Rate

Deaths of infants under one year per 1,000 live births.

Latest available data

This page uses the latest available World Bank observation (2024). Country-level datasets often lag the current calendar year because they depend on official reporting and validation.

World Bank 2024
Current Value (2024)
29.4 per 1,000 live births
Global Ranking
#48 of 195
Data Coverage
1960–2024

Historical Trend

11.05 55.09 99.13 143.17 187.21 231.25 19601969197819871996200520142024
Historical Trend

Overview

Rwanda's Infant Mortality Rate was 29.4 per 1,000 live births in 2024, ranking #48 out of 195 countries.

Between 1960 and 2024, Rwanda's Infant Mortality Rate changed from 123.2 to 29.4 (-76.1%).

Over the past decade, Infant Mortality Rate in Rwanda changed by -15.3%, from 34.7 per 1,000 live births in 2014 to 29.4 per 1,000 live births in 2024.

Where is Rwanda?

Rwanda

Continent
Africa
Country
Rwanda
Coordinates
-2.00°, 30.00°

Historical Data

Year Value
1960 123.2 per 1,000 live births
1961 119.7 per 1,000 live births
1962 117 per 1,000 live births
1963 115 per 1,000 live births
1964 113.8 per 1,000 live births
1965 113.3 per 1,000 live births
1966 113.2 per 1,000 live births
1967 113.5 per 1,000 live births
1968 114.2 per 1,000 live births
1969 115.2 per 1,000 live births
1970 116.4 per 1,000 live births
1971 117.8 per 1,000 live births
1972 119.3 per 1,000 live births
1973 121.7 per 1,000 live births
1974 124.7 per 1,000 live births
1975 128 per 1,000 live births
1976 130.7 per 1,000 live births
1977 131.7 per 1,000 live births
1978 129.7 per 1,000 live births
1979 124.4 per 1,000 live births
1980 117.1 per 1,000 live births
1981 109 per 1,000 live births
1982 101.7 per 1,000 live births
1983 96 per 1,000 live births
1984 92.6 per 1,000 live births
1985 90.3 per 1,000 live births
1986 88.1 per 1,000 live births
1987 86.2 per 1,000 live births
1988 84.9 per 1,000 live births
1989 84.8 per 1,000 live births
1990 86.9 per 1,000 live births
1991 92.6 per 1,000 live births
1992 101.5 per 1,000 live births
1993 111.5 per 1,000 live births
1994 212.9 per 1,000 live births
1995 126.5 per 1,000 live births
1996 129 per 1,000 live births
1997 128.5 per 1,000 live births
1998 124.4 per 1,000 live births
1999 117.1 per 1,000 live births
2000 108.1 per 1,000 live births
2001 98.4 per 1,000 live births
2002 88.7 per 1,000 live births
2003 79.5 per 1,000 live births
2004 71.1 per 1,000 live births
2005 64 per 1,000 live births
2006 58.1 per 1,000 live births
2007 53.2 per 1,000 live births
2008 49.1 per 1,000 live births
2009 45.7 per 1,000 live births
2010 42.6 per 1,000 live births
2011 39.3 per 1,000 live births
2012 37.4 per 1,000 live births
2013 35.9 per 1,000 live births
2014 34.7 per 1,000 live births
2015 33.9 per 1,000 live births
2016 33.2 per 1,000 live births
2017 32.7 per 1,000 live births
2018 32.2 per 1,000 live births
2019 31.7 per 1,000 live births
2020 31.3 per 1,000 live births
2021 30.9 per 1,000 live births
2022 30.5 per 1,000 live births
2023 30.1 per 1,000 live births
2024 29.4 per 1,000 live births

Global Comparison

Among all countries, South Sudan has the highest Infant Mortality Rate at 71.9 per 1,000 live births, while San Marino has the lowest at 1.2 per 1,000 live births.

Rwanda is ranked just above Senegal (28.9 per 1,000 live births) and just below Mauritania (30.2 per 1,000 live births).

Definition

The infant mortality rate measures the probability of a child dying before their 1st birthday per 1,000 live births. It is widely considered a primary indicator of the overall health status of a population, reflecting the quality of healthcare systems, nutritional status, and socioeconomic conditions. Higher rates often correlate with limited access to clean water, poor sanitation, and inadequate maternal healthcare. This metric specifically captures the vulnerabilities of the 1st year of life, distinguishing it from neonatal mortality, which occurs within the first 28 days, or under-five mortality. By tracking this rate, international organizations and governments can evaluate the effectiveness of public health interventions, such as immunization programs, prenatal screenings, and neonatal intensive care. Because infants are highly sensitive to environmental and social stressors, this indicator serves as a proxy for the broader development level of a nation. Recent data collection emphasizes reducing these preventable deaths through targeted medical and social policies to ensure higher survival rates globally.

Formula

Infant Mortality Rate = (Number of deaths of children under 1 year of age during a specific period ÷ Number of live births during the same period) × 1,000

Methodology

Data for the infant mortality rate are primarily sourced from civil registration and vital statistics (CRVS) systems, which record births and deaths. In many low- and middle-income countries where these systems are incomplete, researchers rely on household surveys such as the Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS). These surveys use retrospective birth histories to estimate mortality rates. The UN Inter-agency Group for Child Mortality Estimation (UN IGME), which includes UNICEF, WHO, and the World Bank, harmonizes these diverse data sources using statistical models to provide consistent national estimates. One major limitation is the under-reporting of infant deaths, particularly in remote areas or where cultural taboos exist. Additionally, differing legal definitions of a live birth between countries can occasionally complicate direct comparisons, though international standards are increasingly applied by global agencies to ensure data consistency across regions and time periods.

Methodology variants

  • Neonatal Mortality Rate. Measures the probability of death within the first 28 days of life, primarily focusing on complications related to birth and prenatal care.
  • Post-neonatal Mortality Rate. Calculates deaths occurring between 28 days and 1 year of age, often reflecting external factors like nutrition, hygiene, and infectious diseases.
  • Under-Five Mortality Rate. Includes all deaths of children before they reach age 5, providing a broader indicator of general child survival and development.

How sources differ

While major agencies like the World Bank and WHO use synchronized UN IGME estimates, individual national reports may differ if they rely on localized registration data that does not account for the same level of under-reporting or use different statistical modeling techniques.

What is a good value?

A rate below 5 per 1,000 live births is generally considered very low, while rates above 50 are categorized as high. Current global estimates show a median of roughly 25 per 1,000, serving as a critical benchmark for identifying nations with significant unmet health needs.

World ranking

Infant Mortality Rate ranking for 2024 based on World Bank data, covering 195 countries.

Infant Mortality Rate — World ranking (2024)
Rank Country Value
1 South Sudan 71.9 per 1,000 live births
2 Nigeria 69.8 per 1,000 live births
3 Niger 65.6 per 1,000 live births
4 Somalia 65.4 per 1,000 live births
5 Liberia 63.2 per 1,000 live births
6 Zimbabwe 62.4 per 1,000 live births
7 Guinea 59.8 per 1,000 live births
8 Central African Republic 58.8 per 1,000 live births
9 DR Congo 56.4 per 1,000 live births
10 Lesotho 56.3 per 1,000 live births
48 Rwanda 29.4 per 1,000 live births
191 Belarus 1.8 per 1,000 live births
192 Japan 1.8 per 1,000 live births
193 Slovenia 1.8 per 1,000 live births
194 Estonia 1.5 per 1,000 live births
195 San Marino 1.2 per 1,000 live births
View full rankings

Global Trends

Recent decades have seen a dramatic global decline in the infant mortality rate, falling by more than 50% since the 1990s. This progress is attributed to improved access to basic healthcare, widespread vaccination campaigns, and better management of infectious diseases like pneumonia and diarrhea. Expanded maternal health services have also significantly reduced complications during childbirth. Despite this overall success, the pace of decline varies; while some regions have achieved rapid reductions, others continue to struggle with preventable causes of death. Current estimates suggest that neonatal deaths—those occurring in the first 28 days—now account for a larger proportion of total infant mortality, as they are harder to address than post-neonatal deaths related to nutrition or infection. Global efforts now focus on strengthening healthcare systems to provide specialized care for newborns and improving social determinants such as maternal education and economic stability to ensure more infants survive their 1st year of life.

Regional Patterns

Significant regional disparities persist in infant mortality rates, with sub-Saharan Africa and South Asia recording the highest levels globally. In some parts of sub-Saharan Africa, rates remain above 50 deaths per 1,000 live births, often driven by high poverty, conflict, and limited medical infrastructure. In contrast, high-income regions such as Europe and East Asia have achieved extremely low rates, often below 5 per 1,000 live births, due to advanced neonatal care and universal health coverage. Middle-income countries have shown the fastest progress, particularly in Latin America and Southeast Asia, where investments in public health and sanitation have led to sharp declines. These regional differences highlight the correlation between national income levels and infant survival. While global averages improve, the gap between the highest and lowest performing nations remains a focal point for international development goals and humanitarian assistance programs.

About this data
Source
World Bank SP.DYN.IMRT.IN
Definition
Deaths of infants under one year per 1,000 live births.
Coverage
Data for 195 countries (2024)
Limitations
Data may lag 1-2 years for some countries. Coverage varies by indicator.

Frequently Asked Questions

Rwanda's Infant Mortality Rate was 29.4 per 1,000 live births in 2024, ranking #48 out of 195 countries.

Between 1960 and 2024, Rwanda's Infant Mortality Rate changed from 123.2 to 29.4 (-76.1%).

The infant mortality rate measures deaths of children before their 1st birthday, while the neonatal mortality rate focuses strictly on the first 28 days of life. This distinction is critical because neonatal deaths often require specialized medical interventions, whereas post-neonatal deaths are more frequently linked to environmental factors like nutrition, hygiene, and infectious diseases.

A rate below 5 deaths per 1,000 live births is generally considered very low and is typical for high-income nations with advanced healthcare systems. Conversely, a rate exceeding 50 is considered high and often indicates significant challenges in public health, maternal nutrition, and access to basic medical services in a given region.

Using a rate per 1,000 live births allows for standardized comparisons across countries with vastly different population sizes and birth volumes. This normalization ensures that the data reflects the actual risk of death for an individual infant regardless of the total number of children born in that specific nation or year.

Higher levels of maternal education are strongly correlated with lower infant mortality rates because educated mothers are more likely to seek prenatal care and follow vaccination schedules. They also tend to have better knowledge of nutrition and hygiene, which directly improves the survival chances of their children during the early stages of life.

The leading causes include birth complications, preterm delivery, and neonatal infections such as sepsis, alongside external factors like pneumonia and diarrhea. Many of these deaths are preventable through basic interventions like clean water, skilled birth attendance, and essential newborn care practices such as immediate breastfeeding, warmth, and proper hygiene.

Infant Mortality Rate figures for Rwanda are sourced from the World Bank Open Data API, which aggregates reporting from national statistical agencies and verified international organizations. The dataset is refreshed annually as new submissions arrive, typically with a 1–2 year reporting lag.