This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. Infant Mortality is defined as the number of deaths in infants under one year of age per 1,000 live births. Infant mortality is often used as an indicator to measure the health and well-being of a community, because factors affecting the health of entire populations can also impact the mortality rate of infants. Although California’s infant mortality rate is better than the national average, there are significant disparities, with African American babies dying at more than twice the rate of other groups. Data are from the Birth Cohort Files. The infant mortality indicator computed from the birth cohort file comprises birth certificate information on all births that occur in a calendar year (denominator) plus death certificate information linked to the birth certificate for those infants who were born in that year but subsequently died within 12 months of birth (numerator). Studies of infant mortality that are based on information from death certificates alone have been found to underestimate infant death rates for infants of all race/ethnic groups and especially for certain race/ethnic groups, due to problems such as confusion about event registration requirements, incomplete data, and transfers of newborns from one facility to another for medical care. Note there is a separate data table "Infant Mortality by Race/Ethnicity" which is based on death records only, which is more timely but less accurate than the Birth Cohort File. Single year shown to provide state-level data and county totals for the most recent year. Numerator: Infants deaths (under age 1 year). Denominator: Live births occurring to California state residents. Multiple years aggregated to allow for stratification at the county level. For this indicator, race/ethnicity is based on the birth certificate information, which records the race/ethnicity of the mother. The mother can “decline to state”; this is considered to be a valid response. These responses are not displayed on the indicator visualization.

At the beginning of the 20th century, the infant mortality rate fluctuated around 300 deaths per thousand live births, meaning that roughly three in ten infants born in these years would not survive past their first birthday. Since 1910, however, Chile's infant mortality rate has consistently fallen, apart from a brief rise in the 1930s as Chile was hit particularly hard by the Great Depression. Infant mortality would fall at its fastest rate in the 1940s and 1950s, due to the expansion of several vaccination campaigns and the introduction of a national healthcare system, which saw dramatic improvements in natal health in the country. While many of thee healthcare initiatives were scaled back by the new administration in the 1950s, infant mortality has continued to fall, although it has stagnated in recent decades. Nonetheless, infant mortality in Chile in 2020is estimated to be just seven deaths per thousand births, meaning that over 99 percent of all newborns will make it past their first birthday.

In 2022, the infant mortality rate in India was at about 25.5 deaths per 1,000 live births, a significant decrease from previous years. Infant mortality as an indicatorThe infant mortality rate is the number of deaths of children under one year of age per 1,000 live births. This rate is an important key indicator for a country’s health and standard of living; a low infant mortality rate indicates a high standard of healthcare. Causes of infant mortality include premature birth, sepsis or meningitis, sudden infant death syndrome, and pneumonia. Globally, the infant mortality rate has shrunk from 63 infant deaths per 1,000 live births to 27 since 1990 and is forecast to drop to 8 infant deaths per 1,000 live births by the year 2100. India’s rural problemWith 32 infant deaths per 1,000 live births, India is neither among the countries with the highest nor among those with the lowest infant mortality rate. Its decrease indicates an increase in medical care and hygiene, as well as a decrease in female infanticide. Increasing life expectancy at birth is another indicator that shows that the living conditions of the Indian population are improving. Still, India’s inhabitants predominantly live in rural areas, where standards of living as well as access to medical care and hygiene are traditionally lower and more complicated than in cities. Public health programs are thus put in place by the government to ensure further improvement.

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

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.

Infant mortality rate including country, regional, and global breakdown

Definition:
Probability of dying between birth and exactly 1 year of age, expressed per 1,000 live births

Infant mortality is defined as the number of babies dying before the age of one for every 1,000 live births. Infant mortality is a measure of the longer term consequences of perinatal events and is particularly important for monitoring outcomes for high risk groups such as very preterm babies and growth restricted babies. Legacy unique identifier: P01743

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

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

The infant mortality rate in India, for children under the age of one year old, was over 204 deaths per thousand births in 1915. This means that for all babies born in 1915,more than one fifth did not survive past their first birthday. This rate fluctuated over the next four decades, but since the mid-1900s, India's infant mortality rate has fallen from 181 to 32 deaths per thousand births in 2020, meaning that over three percent of all babies born today do not make it to their first birthday.

Infant mortality was defined as death before completion of first year of life [1]. We obtained linked birth and infant death data from the U.S. Centers for Disease Control and Prevention for the years 2000–2005, corresponding to the time frame covered by the EQI. The EQI was constructed for 2000-2005 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. This dataset is associated with the following publication: Patel, A., J. Jagai, L. Messer, C. Gray, K. Rappazzo, S. DeflorioBarker, and D. Lobdell. Associations between environmental quality and infant mortality in the United States, 2000-2005. Archives of Public Health. BioMed Central Ltd, London, UK, 76(60): 1, (2018).

Number of infant deaths (stillbirth, perinatal and those aged under 1 year old).

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

The infant mortality rate in China, for children under the age of one year old, was approximately 195 deaths per thousand births in 1950. This means that for all babies born in 1950, almost one in five did not survive past their first birthday. This rate fell to just under 130 deaths in 1955, before increasing slightly in the next decade, as Chairman Mao Zedong's 'Great Leap Forward' failed to industrialize the country and created a famine that killed millions of people. Over the past half century, China's infant mortality rate has decreased gradually to just ten deaths per thousand births today.

【リソース】Volume 1_6-1_Trends in infant deaths, infant mortality rates (per 1,000 live births), sex ratio and proportion of infant deaths to total deaths:Japan / Volume 1_6-2_Trends in neonatal deaths, neonatal mortality rates (per 1,000 live births), sex ratio and proportion of neonatal deaths to infant deaths:Japan / Volume 1_6-3_Infant mortality rates (per 100,000 live births) and percent distribution by sex and age (days, weeks and months):Japan, 2018 / Volume 1_6-4_Trends in infant mortality rates (per 100,000 live births) by sex and age (days, weeks and months):Japan / Volume 1_6-5_Trends in infant deaths and infant mortality rates (per 1,000 live births) by month:Japan / Volume 1_6-6_Live births, infant deaths and infant mortality rates (per 1,000 live births) by months of birth:Japan / Volume 1_6-7_Trends in infant deaths and percent distribution by place of occurrence:Japan / Volume 1_6-8_Percent distribution of infant deaths by place of occurrence:Japan, each prefecture and 21 major cities, 2018 / Volume 1_6-9_Infant deaths, infant mortality rates (per 1,000 live births) and percent distribution by type of occupation of household:Japan, 2018 / Volume 1_6-10_Trends in infant deaths by each prefecture:Japan / Volume 1_6-11_Trends in infant mortality rates (per 1,000 live births) by each prefecture:Japan / Volume 1_6-12_Infant mortality rates (per 100,000 live births) by age and proportion of neonatal deaths:Japan, each prefecture and 21 major cities, 2018 / Volume 1_6-13_Trends in infant deaths and infant mortality rates (per 100,000 live births) by causes (the list of causes of infant death):Japan / Volume 1_6-14_Infant deaths and infant mortality rates (per 100,000 live births) by age and causes (the list of causes of infant death):Japan, 2018 / Volume 1_6-15_Percent distribution of infant deaths by age and causes (the list of causes of infant death):Japan, 2018 / Volume 1_6-16_Trends in leading causes of neonatal and infant death:Japan (deaths, death rates (per 100,000 live births), proportion(%)) / Volume 1_6-17_Infant mortality rates (per 100,000 live births) by causes (the list of causes of infant death):Japan, each prefecture and 21 major cities, 2018 / Volume 1_6-18_Infant deaths and infant mortality rates (per 100,000 live births) by diseases, causes (the list of causes of infant death) and birth weight:Japan, 2018 / Volume 1_6-19_Neonatal deaths and neonatal mortality rates (per 100,000 live births) by diseases, causes (the list of causes of infant death) and birth weight:Japan, 2018 / Volume 2_1_Infant deaths (under 1 year), neonatal deaths (under 4 weeks) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_2_Infant deaths (under 1 year) by age and sex:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_3_Infant deaths (under 1 year) by age, sex and type of occupation of household:Japan / Volume 2_4_Infant deaths (under 1 year) by month of occurrence and date of birth:Japan / Volume 2_5_Infant deaths (under 1 year) from diseases, birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan / Volume 2_6_Infant deaths (under 1 year) from diseases, birth weight and mean birth weight by sex, plurality of birth and birth order:Japan / Volume 2_7_Infant deaths (under 1 year) from diseases, birth weight and mean birth weight by sex and period of gestation:Japan / Volume 3_1_Infant deaths (under 1 year) by causes (the list of causes of infant death), sex and age:Japan / Volume 3_2_Infant deaths (under 1 year) and neonatal deaths (under 4 weeks) by causes (the list of causes of infant death) and sex:Japan, each prefecture and 21 major cities / Volume 3_3_Infant deaths (under 1 year) and neonatal deaths (under 4 weeks) by causes (the list of causes of infant death), sex and month of occurrence:Japan / Volume 3_4_Infant deaths (under 1 year), neonatal deaths (under 4 weeks) and early neonatal deaths (under 1 week) from diseases by causes (the list of causes of infant death), sex and birth weight:Japan / Volume 3_5_Infant deaths (under 1 year), neonatal deaths (under 4 weeks) and early neonatal deaths (under 1 week) from diseases by causes (the list of causes of infant death), sex and specified period of gestation:Japan / Vital Statistics_Vital statistics of Japan_Final data_Infant mortality_Yearly_2018 / Volume 1_6-1_Trends in infant deaths, infant mortality rates (per 1,000 live births), sex ratio and proportion of infant deaths to total deaths:Japan,Volume 1_6-2_Trends in neonatal deaths, neonatal mortality rates (per 1,000 live births), sex ratio and proportion of neonatal deaths to infant deaths:Japan,Volume 1_6-3_Infant mortality rates (per 100,000 live births) and percent distribution by sex and age (days, weeks and months):Japan, 2018,Volume 1_6-4_Trends in infant mortality rates (per 100,000 live births) by sex and age (days, weeks and months):Japan,Volume 1_6-5_Trends in infant deaths and i

We conducted an unmatched case-control study of 5,992 infant mortality cases and 60,000 randomly selected controls from a North Carolina Birth Cohort (2003-2015). PM2.5 during critical exposure periods (trimesters, pregnancy, first month alive) were estimated using residential address and a national spatiotemporal model at census block centroid. Here we describe data sources for outcome (i.e., infant mortality) and exposure (i.e., PM2.5) data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The North Carolina Birth Cohort data are not publicly available as it contains personal identifiable information. Data may be requested through the NCDHHS, Division of Public Health with proper approvals. Air pollutant concentrations for PM2.5 from the national spatiotemporal model are available upon request and may require a processing fee. Air monitoring data questions can be directed to Ms. Amanda Gassett at the University of Washington. Format: Birth certificate data from the State Center for Health Statistics of the NC Department of Health and Human Services linked with data from the Birth Defects Monitoring Program (NC BDMP) to create a birth cohort of all infants born in NC between 2003-2015. The NC BDMP is an active surveillance system that follows NC births to obtain birth defect diagnoses up to 1 year after the date of birth as well as identify infant deaths during the first year of life and include relevant information from the death certificate. A national spatiotemporal model provided data on predicted PM2.5 concentrations over critical prenatal and postnatal time periods. The prediction model used data from research and regulatory monitors as well as a large (>200) array of geographic covariates to create fine scale spatial and temporal predictions. The model has a cross-validated R2 of 0.89 for PM2.5. Concentrations were predicted for every 2 weeks in the study period at the centroid of each 2010 census block in NC. This dataset is associated with the following publication: Jampel, S., J. Kaufman, D. Enquobahrie, A. Wilkie, A. Gassett, and T. Luben. Association between fine particulate matter (PM2.5) and infant mortality in a North Carolina Birth Cohort (2003-2015). Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn, NETHERLANDS, 8(6): e350, (2024).

A stillbirth is defined as a baby born after 24 or more weeks completed gestation and which did not, at any time, breathe or show independent signs of life. Please note that the methodology for confidence intervals used in this indicator is currently under review. To help reduce the incidence of stillbirths. Legacy unique identifier: P00467

In 1955, the infant mortality rate in Vietnam was just over one hundred deaths per thousand live births, meaning that approximately one of every ten babies born in that year would not survive past their first birthday. Infant mortality would decrease sharply between the 1950s and 1960s, falling to nearly half the 1955 rate by 1970. Declines in infant mortality would slow somewhat in the early 1970s, however, as a decrease of American aid to South Vietnam following President Nixon’s resignation, combined with increasing encroachment by the North Vietnamese army and a recession from the 1973 oil crisis, would place significant strain on many basic health and government services of the South Vietnamese government. Following the fall of Saigon in 1975 and the reunification of Vietnam, child mortality would begin to decline once more, as the country would begin to rapidly modernize in the post-war years. As a result, infant mortality would halve between 1975 and the end of the century, and as infant mortality continues to decline, it is estimated in 2020 that for every thousand children born in Vietnam, over 98% will survive past their first birthday.

【リソース】Volume 1_6-1_Trends in infant deaths, infant mortality rates (per 1,000 live births), sex ratio and proportion of infant deaths to total deaths:Japan / Volume 1_6-2_Trends in neonatal deaths, neonatal mortality rates (per 1,000 live births), sex ratio and proportion of neonatal deaths to infant deaths:Japan / Volume 1_6-3_Infant mortality rates (per 100,000 live births) and percent distribution by sex and age (days, weeks and months):Japan, 2013 / Volume 1_6-4_Trends in infant mortality rates (per 100,000 live births) by sex and age (days, weeks and months):Japan / Volume 1_6-5_Trends in infant deaths and infant mortality rates (per 1,000 live births) by month:Japan / Volume 1_6-6_Live births, infant deaths and infant mortality rates (per 1,000 live births) by months of birth:Japan / Volume 1_6-7_Trends in infant deaths and percent distribution by place of occurrence:Japan / Volume 1_6-8_Percent distribution of infant deaths by place of occurrence:Japan, each prefecture and 21 major cities, 2013 / Volume 1_6-9_Infant deaths, infant mortality rates (per 1,000 live births) and percent distribution by type of occupation of household:Japan, 2013 / Volume 1_6-10_Trends in infant deaths by each prefecture:Japan / Volume 1_6-11_Trends in infant mortality rates (per 1,000 live births) by each prefecture:Japan / Volume 1_6-12_Infant mortality rates (per 100,000 live births) by age and proportion of neonatal deaths:Japan, each prefecture and 21 major cities, 2013 / Volume 1_6-13_Trends in infant deaths and infant mortality rates (per 100,000 live births) by causes (the list of causes of infant death):Japan / Volume 1_6-14_Infant deaths and infant mortality rates (per 100,000 live births) by age and causes (the list of causes of infant death):Japan, 2013 / Volume 1_6-15_Percent distribution of infant deaths by age and causes(the list of causes of infant death):Japan, 2013 / Volume 1_6-16_Trends in leading causes of neonatal and infant death:Japan / Volume 1_6-17_Infant mortality rates (per 100,000 live births) by causes (the list of causes of infant death):Japan, each prefecture and 21 major cities, 2013 / Volume 1_6-18_Infant deaths and infant mortality rates (per 100,000 live births) by diseases, causes (the list of causes of infant death) and birth weight:Japan, 2013 / Volume 1_6-19_Neonatal deaths and neonatal mortality rates (per 100,000 live births) by diseases, causes (the list of causes of infant death) and birth weight:Japan, 2013 / Volume 2_1_Infant deaths (under 1 year), neonatal deaths (under 4 weeks) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_2_Infant deaths (under 1 year) by age and sex:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_3_Infant deaths (under 1 year) by age, sex and type of occupation of household:Japan / Volume 2_4_Infant deaths (under 1 year) by month of occurrence and date of birth:Japan / Volume 2_5_Infant deaths (under 1 year) from diseases, birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan / Volume 2_6_Infant deaths (under 1 year) from diseases, birth weight and mean birth weight by sex, plurality of birth and birth order:Japan / Volume 2_7_Infant deaths (under 1 year) from diseases, birth weight and mean birth weight by sex and period of gestation:Japan / Volume 3_1_Infant deaths (under 1 year) by causes (the list of causes of infant death), sex and age:Japan / Volume 3_2_Infant deaths (under 1 year) and neonatal deaths (under 4 weeks) by causes (the list of causes of infant death) and sex:Japan, each prefecture and 21 major cities / Volume 3_3_Infant deaths (under 1 year) and neonatal deaths (under 4 weeks) by causes (the list of causes of infant death), sex and month of occurrence:Japan / Volume 3_4_Infant deaths (under 1 year), neonatal deaths (under 4 weeks) and early neonatal deaths (under 1 week) from diseases by causes (the list of causes of infant death), sex and birth weight:Japan / Volume 3_5_Infant deaths (under 1 year), neonatal deaths (under 4 weeks) and early neonatal deaths (under 1 week) from diseases by causes (the list of causes of infant death), sex and period of gestation:Japan / Vital Statistics_Vital statistics of Japan_Final data_Infant mortality_Yearly_2013 / Volume 1_6-1_Trends in infant deaths, infant mortality rates (per 1,000 live births), sex ratio and proportion of infant deaths to total deaths:Japan,Volume 1_6-2_Trends in neonatal deaths, neonatal mortality rates (per 1,000 live births), sex ratio and proportion of neonatal deaths to infant deaths:Japan,Volume 1_6-3_Infant mortality rates (per 100,000 live births) and percent distribution by sex and age (days, weeks and months):Japan, 2013,Volume 1_6-4_Trends in infant mortality rates (per 100,000 live births) by sex and age (days, weeks and months):Japan,Volume 1_6-5_Trends in infant deaths and infant mortality rates (per 1,000 live births) by month:Japan,Volume 1_6-6_

This dataset includes all infant deaths that were linked to their corresponding birth certificate and includes all items released in the public-use file. Additional information in this file includes state and county of residence and exact dates of birth and death (which includes day of month, month, and year).