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.

In 2023, the infant mortality rate in deaths per 1,000 live births in China stood at 4.5. Between 1969 and 2023, the figure dropped by 84, though the decline followed an uneven course rather than a steady trajectory.

The infant mortality rate in China decreased by 0.4 deaths per 1,000 live births (-6.78 percent) since the previous year. As a result, the infant mortality rate in China saw its lowest number in 2020 with 5.5 deaths per 1,000 live births.The infant mortality rate refers to the number of newborns not expected to survive past the first year of life. This is generally expressed as a value per 1,000 live births, and infant mortality also includes neonatal mortality (deaths within the first 28 days of life).Find more statistics on other topics about China with key insights such as death rate, crude birth rate, and total fertility rate.

China: Infant deaths per 1000 live births: The latest value from 2022 is 5 deaths per 1000 live births, unchanged from 5 deaths per 1000 live births in 2021. In comparison, the world average is 19 deaths per 1000 live births, based on data from 187 countries. Historically, the average for China from 1969 to 2022 is 34 deaths per 1000 live births. The minimum value, 5 deaths per 1000 live births, was reached in 2021 while the maximum of 83 deaths per 1000 live births was recorded in 1969.

UNICEF's country profile for China, Hong Kong Special Administrative Region, including under-five mortality rates, child health, education and sanitation data.

The health costs of economic uncertainty always remain a major concern among policymakers of China. The theoretical and empirical literature on the economic uncertainty-human health nexus is still in its infancy stage. This study is firmly rooted in the economic uncertainty theory advanced by Baker, Bloom, & Davis. In this study, the primary objective of the analysis is to estimate the asymmetric impact of economic uncertainty on human health in China’s economy. In order to evaluate the short and long-run estimates of economic uncertainty on human health across various quantiles, we have employed the linear and nonlinear QARDL models. The linear QARDL model shows that the long-run relationship between economic uncertainty and the infant mortality rate is positive and significant at all quantiles, while the long-run relationship between economic uncertainty and the death rate is positive and significant at higher quantiles. The nonlinear QARDL model reveals that, in the long run, the relationship between the positive shock of economic uncertainty and the infant mortality rate is positive and significant at quantiles 0.30 to 0.95, while the long-run relationship between the positive shock of economic uncertainty and the death rate is positive and significant at higher quantiles. The relationship between the negative shock of economic uncertainty and the infant mortality rate is negative and significant at the highest quantiles, while the relationship between the negative shock of economic uncertainty and death rate is negative and significant at higher quantiles in the long run. The findings indicate a positive relationship between economic uncertainty in China and higher rates of infant mortality and death. Thus, adopting suitable policies for controlling economic uncertainty can help in improving human health in China.

The child mortality rate in China, for children under the age of five, was 417 deaths per thousand births in 1850. This means that for all children born in 1850, almost 42 percent did not make it to their fifth birthday. Over the course of the next 170 years, this number has dropped drastically, and the rate has dropped to its lowest point ever in 2020 where it is just twelve deaths per thousand births. The sharpest decrease came between 1950 and 1955, as the Chinese Civil War ended, and the country began to recover from the Second World War. The decline then stopped between 1955 and 1965, due to famines caused by Chairman Mao Zedong's attempted Great Leap Forward, which was a failed attempt to industrialize China in the late twentieth century.

The Poverty Mapping Project: Global Subnational Infant Mortality Rates data set consists of estimates of infant mortality rates for the year 2000. The infant mortality rate for a region or country is defined as the number of children who die before their first birthday for every 1,000 live births. The data products include a shapefile (vector data) of rates, grids (raster data) of rates (per 10,000 live births in order to preserve precision in integer format), births (the rate denominator) and deaths (the rate numerator), and a tabular data set of the same and associated data. Over 10,000 national and subnational Units are represented in the tabular and grid data sets, while the shapefile uses approximately 1,000 Units in order to protect the intellectual property of source data sets for Brazil, China, and Mexico. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

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

Infant mortality rate is number of infant deaths per 1,000 live births. Data are for Santa Clara County residents. The measure is summarized for total county population, by race/ethnicity and Asian/Pacific Islander subgroups. Data are presented for single years at county level and pooled years combined for population subgroups. Source: Santa Clara County Public Health Department, 2007-2015 Birth Statistical Master File; Santa Clara County Public Health Department, VRBIS, 2007-2015. Data as of 05/26/2017.METADATA:Notes (String): Lists table title, sourceYear (String): Year of death. Pooled data years are used for certain categories to meet the minimum data requirements.Category (String): Lists the category representing the data: Santa Clara County is for total population, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only), and Asian/Pacific Islander subgroups: Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese and Pacific Islanders.Rate per 1,000 live births (Numeric): Infant mortality rate is number of infant (under the age of 1 year) deaths in a year per 1,000 live births in the same time period.

UNICEF's country profile for China, Macao Special Administrative Region, including under-five mortality rates, child health, education and sanitation data.

The Global Subnational Infant Mortality Rates consists of estimates of infant mortality rates

for the year 2000. The infant mortality rate for a region or country is defined as the number of children who die before their first

birthday for every 1,000 live births. The data products include a shapefile (vector data) of rates, grids (raster data) of rates (per

10,000 live births in order to preserve precision in integer format), births (the rate denominator) and deaths (the rate numerator),

and a tabular dataset of the same and associated data. Over 10,000 national and subnational units are represented in the tabular and

grid datasets, while the shapefile uses approximately 1,000 units in order to protect the intellectual property of source datasets

for Brazil, China, and Mexico. This dataset is produced by the Columbia University Center for International Earth Science Information

Network (CIESIN).

Actual value and historical data chart for China Mortality Rate Infant Male Per 1000 Live Births

IntroductionUnder-five mortality rate (U5MR) and maternal mortality rate (MMR) are important indicators for evaluating the quality of perinatal health and child health services in a country or region, and are research priorities for promoting maternal and infant safety and maternal and child health. This paper aimed to analysis and predict the trends of U5MR and MMR in China, to explore the impact of social health services and economic factors on U5MR and MMR, and to provide a basis for relevant departments to formulate relevant policies and measures.MethodsThe JoinPoint regression model was established to conduct time trend analysis and describe the trend of neonatal mortality rate (NMR), infant mortality rate (IMR), U5MR and MMR in China from 1991 to 2020. The linear mixed effect model was used to assess the fixed effects of maternal health care services and socioeconomic factors on U5MR and MMR were explored, with year as a random effect to minimize the effect of collinearity. Auto regressive integrated moving average models (ARIMA) were built to predict U5MR and MMR from 2021 to 2025.ResultsThe NMR, IMR, U5MR and MMR from 1991 to 2020 in China among national, urban and rural areas showed continuous downward trends. The NMR, IMR, U5MR and MMR were significantly negatively correlated with gross domestic product (GDP), the proportion of the total health expenditure (THE) to GDP, system management rate, prenatal care rate, post-natal visit rate and hospital delivery rate. The predicted values of national U5MR from 2021 to 2025 were 7.3 ‰, 7.2 ‰, 7.1 ‰, 7.1 ‰ and 7.2 ‰ and the predicted values of national MMR were 13.8/100000, 12.1/100000, 10.6/100000, 9.6/100000 and 8.3/100000.ConclusionChina has made great achievements in reducing the U5MR and MMR. It is necessary for achieving the goals of Healthy China 2030 by promoting the equalization of basic public health services and further optimizing the allocation of government health resources. China’s experience in reducing U5MR and MMR can be used as a reference for developing countries to realize the SDGs.

Malaysia Infant Mortality Rate: per 1000 Persons: Citizens: Chinese data was reported at 4.000 NA in 2014. This records a decrease from the previous number of 4.300 NA for 2013. Malaysia Infant Mortality Rate: per 1000 Persons: Citizens: Chinese data is updated yearly, averaging 4.100 NA from Dec 1993 (Median) to 2014, with 22 observations. The data reached an all-time high of 7.300 NA in 1993 and a record low of 3.600 NA in 2007. Malaysia Infant Mortality Rate: per 1000 Persons: Citizens: Chinese data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G007: Vital Statistics: Infant Mortality & Mortality Rate.

The health costs of economic uncertainty always remain a major concern among policymakers of China. The theoretical and empirical literature on the economic uncertainty-human health nexus is still in its infancy stage. This study is firmly rooted in the economic uncertainty theory advanced by Baker, Bloom, & Davis. In this study, the primary objective of the analysis is to estimate the asymmetric impact of economic uncertainty on human health in China’s economy. In order to evaluate the short and long-run estimates of economic uncertainty on human health across various quantiles, we have employed the linear and nonlinear QARDL models. The linear QARDL model shows that the long-run relationship between economic uncertainty and the infant mortality rate is positive and significant at all quantiles, while the long-run relationship between economic uncertainty and the death rate is positive and significant at higher quantiles. The nonlinear QARDL model reveals that, in the long run, the relationship between the positive shock of economic uncertainty and the infant mortality rate is positive and significant at quantiles 0.30 to 0.95, while the long-run relationship between the positive shock of economic uncertainty and the death rate is positive and significant at higher quantiles. The relationship between the negative shock of economic uncertainty and the infant mortality rate is negative and significant at the highest quantiles, while the relationship between the negative shock of economic uncertainty and death rate is negative and significant at higher quantiles in the long run. The findings indicate a positive relationship between economic uncertainty in China and higher rates of infant mortality and death. Thus, adopting suitable policies for controlling economic uncertainty can help in improving human health in China.

Number of infant deaths in China was reported at 40795 deaths in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Number of infant deaths - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

The health costs of economic uncertainty always remain a major concern among policymakers of China. The theoretical and empirical literature on the economic uncertainty-human health nexus is still in its infancy stage. This study is firmly rooted in the economic uncertainty theory advanced by Baker, Bloom, & Davis. In this study, the primary objective of the analysis is to estimate the asymmetric impact of economic uncertainty on human health in China’s economy. In order to evaluate the short and long-run estimates of economic uncertainty on human health across various quantiles, we have employed the linear and nonlinear QARDL models. The linear QARDL model shows that the long-run relationship between economic uncertainty and the infant mortality rate is positive and significant at all quantiles, while the long-run relationship between economic uncertainty and the death rate is positive and significant at higher quantiles. The nonlinear QARDL model reveals that, in the long run, the relationship between the positive shock of economic uncertainty and the infant mortality rate is positive and significant at quantiles 0.30 to 0.95, while the long-run relationship between the positive shock of economic uncertainty and the death rate is positive and significant at higher quantiles. The relationship between the negative shock of economic uncertainty and the infant mortality rate is negative and significant at the highest quantiles, while the relationship between the negative shock of economic uncertainty and death rate is negative and significant at higher quantiles in the long run. The findings indicate a positive relationship between economic uncertainty in China and higher rates of infant mortality and death. Thus, adopting suitable policies for controlling economic uncertainty can help in improving human health in China.

Population: Birth Rate: Chongqing data was reported at 0.558 % in 2023. This records a decrease from the previous number of 0.598 % for 2022. Population: Birth Rate: Chongqing data is updated yearly, averaging 1.010 % from Dec 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 1.360 % in 1997 and a record low of 0.558 % in 2023. Population: Birth Rate: Chongqing data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Birth Rate: By Region.

In 2024, the mortality rate in China ranged at approximately 7.76 deaths per 1,000 inhabitants. The mortality rate in China displayed an uneven development over the last two decades. This is mainly related to the very uneven sizes of Chinese age groups, improvements in health care, and the occurrence of epidemics. However, an overall growing trend is undisputable and related to China's aging population. As the share of the population aged 60 and above will be growing significantly over the upcoming two decades, the mortality rate will further increase in the years ahead. Population in China China was the second most populous country in the world in 2024. However, due to several mechanisms put into place by the Chinese government as well as changing circumstances in the working and social environment of the Chinese people, population growth has subsided over the past decades and finally turned negative in 2022. The major factor for this development was a set of policies introduced by the Chinese government in 1979, including the so-called one-child policy, which was intended to improve people’s living standards by limiting the population growth. However, with the decreasing birth rate and slower population growth, China nowadays is facing the problems of a rapidly aging population. Birth control in China According to the one-child policy, a married couple was only allowed to have one child. Only under certain circumstances were parents allowed to have a second child. As the performance of family control had long been related to the assessment of local government’s achievements, violations of the rule were severely punished. The birth control in China led to a decreasing birth rate and a more skewed gender ratio of new births due to a widely preference for male children in the Chinese society. Nowadays, since China’s population is aging rapidly, the one-child policy has been re-considered as an obstacle for the country’s further economic development. Since 2014, the one-child policy has been gradually relaxed and fully eliminated at the end of 2015. In May 2021, a new three-child policy has been introduced. However, many young Chinese people today are not willing to have more children due to high costs of raising a child, especially in urban areas.