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.

Series Name: Infant mortality rate (deaths per 1 000 live births)Series Code: SH_DYN_IMRTRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.2.1: Under-5 mortality rateTarget 3.2: By 2030, end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce neonatal mortality to at least as low as 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live birthsGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

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.

Japan JP: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 1.800 Ratio in 2017. This records a decrease from the previous number of 2.000 Ratio for 2015. Japan JP: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 2.200 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 4.200 Ratio in 1990 and a record low of 1.800 Ratio in 2017. Japan JP: 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 Japan – Table JP.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.

Content

This dataset contains adjusted net national income per capita, infant mortality and total fertility rates between 1970 and 2016. It was composed by the datasets taken from the World Bank Data Catalog.

Columns

Country Name

Country Code

Region

m1970, ..., m2016: Mortality rate, infant (per 1,000 live births) between 1970 and 2016

i1970, ..., i2016: Adjusted net national income per capita (current US$) between 1970 and 2016

f1970, ..., f2016: Fertility rate, total (births per woman) between 1970 and 2016

Acknowledgements

Many thanks to the World Bank Data Catalog (https://datacatalog.worldbank.org/) for sharing numarous organized datasets with us.

Inspiration

Infant mortality, fertility and income per capita are key indicators of a country's population growth and level of development. At first sigh, we all think that these three parameters are highly correlated. So, is that true? Which countries and regions have high and low infant mortality and income per capita? What is the general trend for the parameters between different years?

Israel IL: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 2.600 Ratio in 2016. This records a decrease from the previous number of 2.800 Ratio for 2015. Israel IL: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 3.400 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 9.000 Ratio in 1990 and a record low of 2.600 Ratio in 2016. Israel IL: 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 Israel – Table IL.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.

United States US: Mortality Rate: Infant: per 1000 Live Births data was reported at 5.600 Ratio in 2016. This records a decrease from the previous number of 5.700 Ratio for 2015. United States US: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 10.000 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 25.900 Ratio in 1960 and a record low of 5.600 Ratio in 2016. United States US: Mortality Rate: Infant: 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. Infant mortality rate is the number of infants dying before reaching one year 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. 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.

Mali ML: Mortality Rate: Infant: per 1000 Live Births data was reported at 68.000 Ratio in 2016. This records a decrease from the previous number of 69.600 Ratio for 2015. Mali ML: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 131.200 Ratio from Dec 1963 (Median) to 2016, with 54 observations. The data reached an all-time high of 213.400 Ratio in 1963 and a record low of 68.000 Ratio in 2016. Mali ML: Mortality Rate: Infant: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mali – Table ML.World Bank: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year 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. 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.

BackgroundMaternity leave reduces neonatal and infant mortality rates in high-income countries. However, the impact of maternity leave on infant health has not been rigorously evaluated in low- and middle-income countries (LMICs). In this study, we utilized a difference-in-differences approach to evaluate whether paid maternity leave policies affect infant mortality in LMICs.Methods and FindingsWe used birth history data collected via the Demographic and Health Surveys to assemble a panel of approximately 300,000 live births in 20 countries from 2000 to 2008; these observational data were merged with longitudinal information on the duration of paid maternity leave provided by each country. We estimated the effect of an increase in maternity leave in the prior year on the probability of infant (<1 y), neonatal (<28 d), and post-neonatal (between 28 d and 1 y after birth) mortality. Fixed effects for country and year were included to control for, respectively, unobserved time-invariant confounders that varied across countries and temporal trends in mortality that were shared across countries. Average rates of infant, neonatal, and post-neonatal mortality over the study period were 55.2, 30.7, and 23.0 per 1,000 live births, respectively. Each additional month of paid maternity was associated with 7.9 fewer infant deaths per 1,000 live births (95% CI 3.7, 12.0), reflecting a 13% relative reduction. Reductions in infant mortality associated with increases in the duration of paid maternity leave were concentrated in the post-neonatal period. Estimates were robust to adjustment for individual, household, and country-level characteristics, although there may be residual confounding by unmeasured time-varying confounders, such as coincident policy changes.ConclusionsMore generous paid maternity leave policies represent a potential instrument for facilitating early-life interventions and reducing infant mortality in LMICs and warrant further discussion in the post-2015 sustainable development agenda. From a policy planning perspective, further work is needed to elucidate the mechanisms that explain the benefits of paid maternity leave for infant mortality.

Time series data for the statistic Infant_Mortality_Rate_Per_1000_Live_Births and country Sudan. 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.The statistic "Infant Mortality Rate Per 1000 Live Births" stands at 39.20 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 -1.10 percentage points compared to the value the year prior.The 1 year change in percentage points is -1.10.The 3 year change in percentage points is -3.60.The 5 year change in percentage points is -6.10.The 10 year change in percentage points is -12.10.The Serie's long term average value is 75.51 per mille. It's latest available value, on 12/31/2023, is 36.31 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 12/31/1983, to it's latest available value, on 12/31/2023, is -71.00.

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

This Data consists of some world statistics published by the World Bank since 1961

Variables:

1) Agriculture and Rural development - 42 indicators published on this website. https://data.worldbank.org/topic/agriculture-and-rural-development

2) Access to electricity (% of the population) - Access to electricity is the percentage of the population with access to electricity. Electrification data are collected from industry, national surveys, and international sources.

3) CPIA gender equality rating (1=low to 6=high) - Gender equality assesses the extent to which the country has installed institutions and programs to enforce laws and policies that promote equal access for men and women in education, health, the economy, and protection under law.

4) Mineral rents (% of GDP) - Mineral rents are the difference between the value of production for a stock of minerals at world prices and their total costs of production. Minerals included in the calculation are tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate.

5) GDP per capita (current US$) - GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars.

6) Literacy rate, adult total (% of people ages 15 and above)- Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.

7) Net migration - Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.

8) Birth rate, crude (per 1,000 people) - 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.

9) Death rate, crude (per 1,000 people) - Crude death rate indicates the number of deaths 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.

10) Mortality rate, infant (per 1,000 live births) - Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.

11) Population, total - Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.

Acknowledgements

These datasets are publicly available for anyone to use under the following terms provided by the Dataset Source https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

Banner photo by https://population.un.org/wpp/Maps/

Inspiration

Subsaharan Africa and east Asia record high population total, actually Subsaharan Africa population bypassed Europe and central Asia population by 2010, has this been influenced by crop and food production, large arable land, high crude birth rates(influx), low mortality rates(exits from the population) or Net migration.

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.

Chad TD: Mortality Rate: Infant: per 1000 Live Births data was reported at 58.700 Ratio in 2023. This records a decrease from the previous number of 60.300 Ratio for 2022. Chad TD: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 114.000 Ratio from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 142.000 Ratio in 1960 and a record low of 58.700 Ratio in 2023. Chad TD: Mortality Rate: Infant: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year 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. 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.

Abstract Introduction There is a great challenge to reduce infant mortality from preventable causes in Brazil, given the inequalities that exist in the territory. Objective To estimate the Infant Mortality Rate due to preventable causes and to compare the results between the border and non-border municipalities, in the State of Mato Grosso do Sul. Method This is an ecological study. Three groups from cities were analyzed: Group 1 - contiguous cities with urban border in a neighboring country; Group 2 - non-contiguous cities with urban border in a neighboring country; e Group 3 - non-border cities. The data were obtained from Living Born Information System and Mortality Information System. Results Infant mortality rates per 1,000 live births, by preventable causes in 2004 and 2014, were respectively: Group 1 (21.8 / 11.29), Group 2 (24.68 / 14.7) and Group 3 (14.3 / 7.23). The highest occurrence of deaths happened due to causes related to inadequate care to women during pregnancy, childbirth, fetus and the newborn. Conclusion The risk of death due to preventable causes is higher in children living in border cities, and this should be considered in the elaboration of future health policies and actions.

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

aThe Netherlands: 2006–2007, Norway: 2008–2009bThe European Perinatal Health Report 2008 is based on data from 2004, incidence figs are per 100 live-born infantscThe linkage is between MBR and Cause of Death Registry. The linkage with the HDR for LoS analysis was 65%dThe linkage is between MBR and Cause of Death Registry. The linkage with the HDR for LoS analysis was 58%Number and proportion of VLBW and VLGA infants among live-born infants in EuroHOPE data.

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%.

Laos LA: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 54.200 Ratio in 2016. This records a decrease from the previous number of 55.700 Ratio for 2015. Laos LA: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 64.800 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 120.800 Ratio in 1990 and a record low of 54.200 Ratio in 2016. Laos LA: Mortality Rate: Infant: 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 Laos – Table LA.World Bank: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male 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.

Time series data for the statistic Infant_Mortality_Rate_Per_1000_Live_Births and country Montenegro. 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.The statistic "Infant Mortality Rate Per 1000 Live Births" stands at 2.10 per mille as of 12/31/2023, the lowest value at least since 12/31/1985, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.1 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.1.The 3 year change in percentage points is -0.4.The 5 year change in percentage points is -0.7.The 10 year change in percentage points is -2.10.The Serie's long term average value is 9.97 per mille. It's latest available value, on 12/31/2023, is 7.87 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 12/31/1984, to it's latest available value, on 12/31/2023, is -22.40.