This statistic shows the 20 countries* with the highest infant mortality rate in 2024. An estimated 101.3 infants per 1,000 live births died in the first year of life in Afghanistan in 2024. Infant and child mortality Infant mortality usually refers to the death of children younger than one year. Child mortality, which is often used synonymously with infant mortality, is the death of children younger than five. Among the main causes are pneumonia, diarrhea – which causes dehydration – and infections in newborns, with malnutrition also posing a severe problem. As can be seen above, most countries with a high infant mortality rate are developing countries or emerging countries, most of which are located in Africa. Good health care and hygiene are crucial in reducing child mortality; among the countries with the lowest infant mortality rate are exclusively developed countries, whose inhabitants usually have access to clean water and comprehensive health care. Access to vaccinations, antibiotics and a balanced nutrition also help reducing child mortality in these regions. In some countries, infants are killed if they turn out to be of a certain gender. India, for example, is known as a country where a lot of girls are aborted or killed right after birth, as they are considered to be too expensive for poorer families, who traditionally have to pay a costly dowry on the girl’s wedding day. Interestingly, the global mortality rate among boys is higher than that for girls, which could be due to the fact that more male infants are actually born than female ones. Other theories include a stronger immune system in girls, or more premature births among boys.

One in every 100 children dies before completing one year of life. Around 68 percent of infant mortality is attributed to deaths of children before completing 1 month. 15,000 children die every day – Child mortality is an everyday tragedy of enormous scale that rarely makes the headlines Child mortality rates have declined in all world regions, but the world is not on track to reach the Sustainable Development Goal for child mortality Before the Modern Revolution child mortality was very high in all societies that we have knowledge of – a quarter of all children died in the first year of life, almost half died before reaching the end of puberty Over the last two centuries all countries in the world have made very rapid progress against child mortality. From 1800 to 1950 global mortality has halved from around 43% to 22.5%. Since 1950 the mortality rate has declined five-fold to 4.5% in 2015. All countries in the world have benefitted from this progress In the past it was very common for parents to see children die, because both, child mortality rates and fertility rates were very high. In Europe in the mid 18th century parents lost on average between 3 and 4 of their children Based on this overview we are asking where the world is today – where are children dying and what are they dying from?

5.4 million children died in 2017 – Where did these children die? Pneumonia is the most common cause of death, preterm births and neonatal disorders is second, and diarrheal diseases are third – What are children today dying from? This is the basis for answering the question what can we do to make further progress against child mortality? We will extend this entry over the course of 2020.

@article{owidchildmortality, author = {Max Roser, Hannah Ritchie and Bernadeta Dadonaite}, title = {Child and Infant Mortality}, journal = {Our World in Data}, year = {2013}, note = {https://ourworldindata.org/child-mortality} }

All countries of the 20 countries worldwide with the highest number of children under the age of five dying per 1,000 live births were found in Sub-Saharan Africa, with Niger, Nigeria, and Somalia topping the list. This made it the world region with the significantly highest child mortality rate in 2023.

The average for 2022 based on 187 countries was 27 deaths per 1000 births. The highest value was in Niger: 121 deaths per 1000 births and the lowest value was in Estonia: 2 deaths per 1000 births. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

In 2023, Niger had the highest mortality rate among children aged under five years, with an average of around 115 children under five years of age dying per one thousand live births. This statistic shows the countries with the highest mortality rate among children aged under five years as of 2023.

In 2023, the state of Mississippi had the highest infant mortality rate in the United States, with around 8.94 deaths per 1,000 live births. Infant mortality is the death of an infant before the age of one. The countries with the lowest infant mortality rates worldwide are Slovenia, Singapore, and Iceland. The countries with the highest infant mortality rates include Afghanistan, Somalia, and the Central African Republic. Infant mortality in the United States The infant mortality rate in the United States has decreased over the past few decades, reaching a low of 5.4 deaths per 1,000 live births in 2022. The most common causes of infant death in the United States are congenital malformations, low birth weight, and sudden infant death syndrome. In 2023, congenital malformations accounted for around 111 infant deaths per 100,000 live births.

Number of infant deaths and infant mortality rates, by age group (neonatal and post-neonatal), 1991 to most recent year.

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

The infant mortality rate is defined as the number of deaths of children under one year of age, expressed per 1 000 live births. Some of the international variation in infant mortality rates is due to variations among countries in registering practices for premature infants. The United States and Canada are two countries which register a much higher proportion of babies weighing less than 500g, with low odds of survival, resulting in higher reported infant mortality. In Europe, several countries apply a minimum gestational age of 22 weeks (or a birth weight threshold of 500g) for babies to be registered as live births. This indicator is measured in terms of deaths per 1 000 live births.

This indicator is a summary measure of premature mortality, providing an explicit way of weighting deaths occurring at younger ages, which may be preventable. The calculation of Potential Years of Life Lost (PYLL) involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to a selected age limit (age 75 is used in OECD Health Statistics). In order to assure cross-country and trend comparison, the PYLL are standardised, for each country and each year. The total OECD population in 2010 is taken as the reference population for age standardisation. This indicator is presented as a total and per gender. It is measured in years lost per 100 000 inhabitants (total), per 100 000 men and per 100 000 women, aged 0-69.

Life expectancy at birth is defined as how long, on average, a newborn can expect to live, if current death rates do not change. However, the actual age-specific death rate of any particular birth cohort cannot be known in advance. If rates are falling, actual life spans will be higher than life expectancy calculated using current death rates. Life expectancy at birth is one of the most frequently used health status indicators. Gains in life expectancy at birth can be attributed to a number of factors, including rising living standards, improved lifestyle and better education, as well as greater access to quality health services. This indicator is presented as a total and per gender and is measured in years.

The child mortality rate in the United States, for children under the age of five, was 462.9 deaths per thousand births in 1800. This means that for every thousand babies born in 1800, over 46 percent did not make it to their fifth birthday. Over the course of the next 220 years, this number has dropped drastically, and the rate has dropped to its lowest point ever in 2020 where it is just seven deaths per thousand births. Although the child mortality rate has decreased greatly over this 220 year period, there were two occasions where it increased; in the 1870s, as a result of the fourth cholera pandemic, smallpox outbreaks, and yellow fever, and in the late 1910s, due to the Spanish Flu pandemic.

Kaggle Dataset Description

Title: Mortality Rate (Under-5, Per 1000 Live Births)
Subtitle: Exploring global trends in child survival and health advancements.

Detailed Description:
This dataset contains the under-5 mortality rate, measured as the number of deaths per 1,000 live births for children under five years of age. Sourced from the World Bank, it highlights progress in child survival and health outcomes globally over decades.

Key Highlights: - Annual data for countries worldwide. - Metric: Mortality rate (under-5, per 1000 live births). - Use cases: Analyze trends, compare regional disparities, and correlate mortality rates with health and economic indicators.

4. Exploratory Data Analysis (EDA)

Notebook Ideas

1. Data Cleaning:

   • Handle missing or inconsistent data.
   • Normalize data for comparison across regions.
   • Add calculated fields like regional averages or year-over-year changes.

2. Visualizations:

   • Line Graph: Trends in under-5 mortality rates over time for selected countries.
   • Heatmap: Mortality rates by region and year.
   • Scatterplot: Correlation between mortality rates and healthcare expenditure or GDP per capita.
   • Bar Chart: Top and bottom countries by under-5 mortality for a specific year.

3. Descriptive Analysis:

   • Highlight countries with the most significant reductions in mortality.
   • Analyze regional improvements over decades (e.g., Sub-Saharan Africa vs. South Asia).

5. Predictive Analysis (Optional)

• Use time-series forecasting (e.g., ARIMA or Prophet) to predict future mortality rates for specific countries or regions.
• Explore regression models to analyze the impact of factors like healthcare expenditure on mortality reduction.

6. Kaggle Notebook

Create a Kaggle notebook with: 1. Data Cleaning: Show how missing or inconsistent values are handled. 2. EDA: Include visualizations like heatmaps, scatterplots, and line charts. 3. Insights: Highlight significant findings, such as countries with notable improvements in child survival. 4. Optional Predictive Modeling: Use regression or time-series models to project future trends.

7. Call to Action

For GitHub:

• Share the GitHub repository link on LinkedIn, Twitter, and forums like Reddit (e.g., r/datascience).
• Invite collaboration:
  • "Fork this repository to add your analyses or insights!"

GitHub Link: https://github.com/yourusername/Under5_Mortality_Trends

For Kaggle:

• Encourage upvotes:
  • "If this dataset helps you, consider upvoting it to help others discover it!"
• Include questions to engage users:
  • "Which regions have made the most progress in reducing child mortality?"
  • "What correlations can be drawn between healthcare expenditure and mortality rates?"

Kaggle Link: https://www.kaggle.com/datasets/yourusername/under5-mortality-rate

8. LinkedIn Post

Post Title:
📉 Global Trends in Under-5 Mortality Rates 🌍

Post Body:
I’m excited to share my latest dataset on under-5 mortality rates (per 1,000 live births), sourced from the World Bank. This dataset highlights progress in global health and child survival, spanning decades and covering countries worldwide.

📂 Explore the Dataset:
- GitHub Repository: https://github.com/yourusername/Under5_Mortality_Trends
- Kaggle Dataset: https://www.kaggle.com/datasets/yourusername/under5-mortality-rate

Why It Matters:

Child survival is a fundamental measure of global health progress. This dataset is ideal for:
- Trend Analysis: Explore how under-5 mortality rates have evolved globally.
- Regional Comparisons: Identify disparities in child survival rates across regions.
- Correlations: Study the relationship between mortality rates and economic indicators like healthcare expenditure or GDP per capita.

📈 Get Involved:
- Use the dataset for your own analyses and visualizations.
- Share your insights and findings.
- Upvote the Kaggle dataset to help others discover it!

❓ What trends or correlations do you find in the data?
- Which country or region has shown the most improvement?
- What factors would you analyze further?

Let me know your thoughts, and feel free to share this resource with others who might benefit! 🌟

DataScience #ChildHealth #MortalityRates #WorldBankData #DataVisualization #GitHub #Kaggle #HealthAnalysis

Let me know if you'd like assistance with EDA or visualization templates!

The number of maternal deaths and maternal mortality rates for selected causes, 2000 to most recent year.

The dataset contains information about the under-five mortality rate for various countries over different years. It includes data on the entity (country), the country code, the year of observation, and the under-five mortality rate. The under-five mortality rate refers to the probability of a child dying before reaching the age of five, usually expressed per 1,000 live births. The data spans multiple years, allowing for longitudinal analysis of trends in child mortality across different countries.

Column Description: - Entity: Name of the country. - Code: Country code. - Year: Year of observation. - Under-five mortality rate: Probability of a child dying before reaching the age of five per 1,000 live births.

Use Case: 1. Public Health Analysis: Researchers and public health officials can use this dataset to analyze trends in child mortality rates globally and within specific countries. They can identify regions or countries with high mortality rates and develop targeted interventions to reduce child mortality. 2. Policy Making: Policymakers can utilize the insights from this dataset to formulate policies aimed at improving child health outcomes and reducing under-five mortality rates. Policies could focus on improving access to healthcare, sanitation, nutrition, and maternal care. 3. International Development: International organizations and development agencies can use this dataset to assess the progress of countries towards achieving Sustainable Development Goal 3, which aims to ensure healthy lives and promote well-being for all at all ages, including reducing child mortality. 4. Research Studies: Researchers interested in maternal and child health, epidemiology, and healthcare disparities can analyze this dataset to conduct research studies, identify risk factors associated with high child mortality rates, and evaluate the effectiveness of interventions aimed at reducing child mortality.

Overall, this dataset serves as a valuable resource for understanding and addressing the global challenge of child mortality and improving child health outcomes worldwide.

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

ABSTRACT: Objective: To analyze the mortality trend of children under five years of age living in Brazil and regions, using the “Brazilian List of Preventable Causes of Death.” Method: Ecological time-series study of mortality rate due to preventable and non-preventable causes, with corrections for ill-defined causes and underreporting of deaths from 2000 to 2013. Results: In Brazil, preventable death rates (5.1% per year) had a higher decrease compared with non-preventable ones (2.5% per year). Preventable causes associated with proper care during pregnancy had the highest concentration of deaths in 2013 (12,267) and the second lowest average percentage reduction in the year (2.1%) and for the period (24.4%). The South and Southeast regions had the lowest mortality rates in childhood. However, the Northeast region had the highest decrease in reducible child mortality (6.1% per year) and the Midwest, the lowest (3.5% per year). Conclusion: The decrease in childhood mortality rates was expected in the last decade, suggesting the progress in the response of health systems, in addition to improvements in health conditions and social determinants. Special attention should be given to pregnancy-related causes, i.e., expand the quality of prenatal care, in particular, due to fetal and newborn deaths resulted from maternal conditions, which increased significantly in the period (8,3% per year).

this graph was created in Unicef :

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Indicator: Child mortality rate (aged 1-4 years) 1986-2021

This year’s United Nations Inter-agency Group for Child Mortality Estimation (UN IGME)’s findings represent a noteworthy moment in the ongoing campaign to end all preventable child deaths: The annual number of under-five deaths has fallen to 4.9 (4.6–5.4) million in 2022. The report reveals that more children are surviving today than ever before, with the global under-5 mortality rate declining by 51 per cent since 2000. And several low- and lower-middle-income countries have outpaced this decline. This is a testament to the commitment of governments, organizations, local communities, health-care professionals and families to the survival of the most vulnerable members of our global community.

Yet millions of children still died before seeing their fifth birthday – a loss that serves as a crucial reminder that threats to newborn and child health and survival persist around the world, particularly among the most marginalized children. In addition to the 4.9 million lives lost before the age of 5 – nearly half of which were newborns – the lives of another 2.1 million children and youth aged 5-24 were also cut short. Most of these deaths were concentrated in sub-Saharan Africa and Southern Asia. There is still a long road ahead to end all preventable child and youth deaths.

Ending preventable child deaths in every community will require targeted investments in available, accessible quality health care, including skilled health personnel at birth, antenatal and postnatal care, care for small and sick newborns, preventive services such as vaccination, and diagnostic, preventive and curative measures to treat the key causes of childhood death. Data systems must also be strengthened to track and monitor survival by age and to help address underlying inequalities. This will enable us to move closer to achieving the Sustainable Development Goals and ensure that every child has the opportunity to thrive.

Andorra AD: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 2.200 Ratio in 2023. This records a decrease from the previous number of 2.300 Ratio for 2022. Andorra AD: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 4.800 Ratio from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 8.700 Ratio in 1985 and a record low of 2.200 Ratio in 2023. Andorra AD: 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 Andorra – Table AD.World Bank.WDI: Social: 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. Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

The Mortality - Infant Deaths (from Linked Birth / Infant Death Records) online databases on CDC WONDER provide counts and rates for deaths of children under 1 year of age, occuring within the United States to U.S. residents. Information from death certificates has been linked to corresponding birth certificates. Data are available by county of mother's residence, child's age, underlying cause of death, sex, birth weight, birth plurality, birth order, gestational age at birth, period of prenatal care, maternal race and ethnicity, maternal age, maternal education and marital status. Data are available since 1995. The data are produced by the National Center for Health Statistics.

United States US: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 7.200 Ratio in 2017. This records a decrease from the previous number of 7.400 Ratio for 2015. United States US: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 8.000 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 12.500 Ratio in 1990 and a record low of 7.200 Ratio in 2017. United States US: Mortality Rate: Under-5: Male: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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.

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