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.

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.

In 2023, the infant mortality rate in India was at about 24.5 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.

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

The infant mortality rate in Sweden, for children under the age of one year old, was 240 deaths per thousand births in 1800. This meant that for all babies born in 1800, approximately one quarter did not survive past their first birthday. There were some brief periods in the early and mid nineteenth century where this rate increased, but overall, Sweden's infant mortality rate has decreased steadily throughout it's recorded history. Nowadays, the figure is at it's lowest point ever, with just two deaths per thousand births recorded, meaning that 99.8 percent of children would live past their first birthday.

1. Data source: Statistics Department of the Ministry of Interior. 2. Definition: The probability of death from birth to less than 1 year old.

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.

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

Cross sectional data, all countries for the statistic Infant_Mortality_Rate_Per_1000_Live_Births. Indicator Definition:Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.Indicator Unit:The statistic is measured in Per Mille.Descriptive Statistics regarding the Indicator "Infant Mortality Rate Per 1000 Live Births":The number of countries with data stands at: 192 countries.The average value across those countries stands at: 18.59.The standard deviation across those countries stands at: 16.48.The lowest value stands at: 1.40, and was observed in San Marino, which in this case constitutes the country that ranks first.The highest value stands at: 72.60, and was observed in South Sudan, which in this case constitutes the country that ranks last.Looking at countries with values, the top 5 countries are:1. San Marino, actual value 1.40, actual ranking 1.2. Estonia, actual value 1.60, actual ranking 2.3. Singapore, actual value 1.70, actual ranking 3.4. Finland, actual value 1.80, actual ranking 4.5. Japan, actual value 1.80, actual ranking 4.6. Slovenia, actual value 1.80, actual ranking 4.Looking at countries with values, the bottom 5 countries are:1. South Sudan, actual value 72.60, actual ranking 192.2. Niger, actual value 67.40, actual ranking 191.3. Guinea, actual value 61.50, actual ranking 190.4. Central African Republic, actual value 60.40, actual ranking 189.5. Nigeria, actual value 60.10, actual ranking 188.

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.

Each year Eurostat collects demographic data at regional level from EU, EFTA and Candidate countries as part of the Population Statistics data collection. POPSTAT is Eurostat’s main annual demographic data collection and aims to gather information on demography and migration at national and regional levels by various breakdowns (for the full overview see the Eurostat dedicated section). More specifically, POPSTAT collects data at regional levels on:

• population stocks;
• vital events (live births and deaths).

Each country must send the statistics for the reference year (T) to Eurostat by 31 December of the following calendar year (T+1). Eurostat then publishes the data in March of the calendar year after that (T+2).

Demographic data at regional level include statistics on the population at the end of the calendar year and on live births and deaths during that year, according to the official classification for statistics at regional level (NUTS - nomenclature of territorial units for statistics) in force in the year. These data are broken down by NUTS 2 and 3 levels for EU countries. For more information on the NUTS classification and its versions please refer to the Eurostat dedicated pages. For EFTA and Candidate countries the data are collected according to the agreed statistical regions that have been coded in a way that resembles NUTS.

The breakdown of demographic data collected at regional level varies depending on the NUTS/statistical region level. These breakdowns are summarised below, along with the link to the corresponding online table:

NUTS 2 level

• Population by sex, age and region of residence — demo_r_d2jan
• Population on 1 January by age group, sex and region of residence — demo_r_pjangroup
• Live births by mother's age, mother's year of birth and mother's region of residence — demo_r_fagec
• Deaths by sex, age, and region of residence — demo_r_magec

NUTS 3 level

• Population on 1 January by sex, age group and region of residence — demo_r_pjangrp3
• Population on 1 January by broad age group, sex and region of residence — demo_r_pjanaggr3
• Live births (total) by region of residence — demo_r_births
• Live births by five-year age group of the mothers and region of residence — demo_r_fagec3
• Deaths (total) by region of residence — demo_r_deaths
• Deaths by five-year age group, sex and region of residence — demo_r_magec3

This more detailed breakdown (by five-year age group) of the data collected at NUTS 3 level started with the reference year 2013 and is in accordance with the European laws on demographic statistics. In addition to the regional codes set out in the NUTS classification in force, these online tables include few additional codes that are meant to cover data on persons and events that cannot be allocated to any official NUTS region. These codes are denoted as CCX/CCXX/CCXXX (Not regionalised/Unknown level 1/2/3; CC stands for country code) and are available only for France, Hungary, North Macedonia and Albania, reflecting the raw data as transmitted to Eurostat.

For the reference years from 1990 to 2012 all countries sent to Eurostat all the data on a voluntary basis, therefore the completeness of the tables and the length of time series reflect the level of data received from the responsible National Statistical Institutes’ (NSIs) data provider. As a general remark, a lower data breakdown is available at NUTS 3 level as detailed:

• population data are broken down by sex and broad age groups (0-14, 15-64 and 65 or more). The data have this disaggregation since the reference year 2007 for all countries, and even longer for some — demo_r_pjanaggr3
• vital events (live births and deaths) data are available only as totals, without any further breakdown — demo_r_births and demo_r_deaths

Demographic indicators are calculated by Eurostat based on the above raw data using a common methodology for all countries and regions. The regional demographic indicators computed by NUTS level and the corresponding online tables are summarised below:

NUTS 2 level

• Population structure indicators by region of residence (shares of various population age groups, dependency ratios and median age) — demo_r_pjanind2
• Fertility indicators by region of residence — demo_r_find2
• Fertility rates by age and region of residence — demo_r_frate2
• Life table by age, sex and region of residence — demo_r_mlife
• Life expectancy by age, sex and region of residence — demo_r_mlifexp
• Infant mortality rates by region of residence — demo_r_minfind

NUTS 3 level

• Population change - Demographic balance and crude rates at regional level — demo_r_gind3
• Population density by region — demo_r_d3dens
• Population structure indicators by region of residence (shares of various population age groups, dependency ratios and median age) — demo_r_pjanind3
• Fertility indicators by region of residence (total fertility rate, mean age of woman at childbirth and median age of woman at childbirth) — demo_r_find3

Notes:

1) All the indicators are computed for all lower NUTS regions included in the tables (e.g. data included in a table at NUTS 3 level will include also the data for NUTS 2, 1 and country levels).

2) Demographic indicators computed by NUTS 2 and 3 levels are calculated using input data that have different age breakdown. Therefore, minor differences can be noted between the values corresponding to the same indicator of the same region classified as NUTS 2, 1 or country level.

3) Since the reference year 2015, Eurostat has stopped collecting data on area; therefore, the table 'Area by NUTS 3 region (demo_r_d3area)' includes data up to the year 2015 included.

4) Starting with the reference year 2016, the population density indicator is computed using the new data on area 'Area by NUTS 3 region (reg_area3).

For current version see: https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/maternal_child_family_health_services/MCFHSstatistics.html

Infant Mortality - Cohort Dataset Note: The Infant Mortality Rate is infant deaths (under one year of age) per 1,000 live births, by geography. Numerator represents infant's race/ethnicity. Denominator represents mother's race/ethnicity.

***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native. Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where infant's zip code of residence is unknown.

Sources: State of California, Department of Public Health, Death Statistical Master Files (before 2014), California Comprehensive Death Files (2014 and later), and Birth Statistical Master Files. Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

Interpretation: "There were 5 infant deaths per 1,000 live births in Geography X".

Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

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

For current version see: https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/maternal_child_family_health_services/MCFHSstatistics.html

Infant Mortality - VRBIS Dataset Note: This dataset is created from the mortality database. Cases are registered deaths only. The Infant Mortality Rate is infant deaths (under one year of age) per 1,000 live births, by geography. Rates not calculated in cases where infant's zip code of residence is unknown. Numerator represents infant's race/ethnicity. Denominator represents mother's race/ethnicity.

***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native. Blank Cells: Rates not calculated for fewer than 5 events.

Sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System, 2016.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

Interpretation: "There were 5 infant deaths per 1,000 live births in Geography X".

Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

Time series data for the statistic Mortality rate, infant, female (per 1,000 live births) and country Comoros. Indicator Definition: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.The indicator "Mortality rate, infant, female (per 1,000 live births)" stands at 33.30 as of 12/31/2023, the lowest value at least since 12/31/1974, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -3.20 percent compared to the value the year prior.The 1 year change in percent is -3.20.The 3 year change in percent is -8.01.The 5 year change in percent is -11.90.The 10 year change in percent is -19.37.The Serie's long term average value is 74.22. It's latest available value, on 12/31/2023, is 55.14 percent lower, compared to it's long term average value.The Serie's change in percent 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 percent from it's maximum value, on 12/31/1973, to it's latest available value, on 12/31/2023, is -76.28%.

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.

Rate: Number of deaths occurring in infants under 1 year of age in a given year per 1,000 live births.

Definition: Rate of death occurring under 1 year of age in a given year per 1,000 live births to resident mothers in the same year.

Data Sources: (1) New Jersey Birth Certificate Database, (2) Linked Infant Death-Birth Database, New Jersey

History: MAR 2014 - 2020 target based on 2007 data.

MAR 2017 - Baseline year changed from 2007 to 2010. - 2020 targets modified to reflect a 10% improvement over 2010 baseline for total population and all racial/ethnic groups

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

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