Maternal mortality rates can vary significantly around the world. For example, in 2022, Estonia had a maternal mortality rate of zero per 100,000 live births, while Mexico reported a rate of 38 deaths per 100,000 live births. However, the regions with the highest number of maternal deaths are Sub-Saharan Africa and Southern Asia, with differences between countries and regions often reflecting inequalities in health care services and access. Most causes of maternal mortality are preventable and treatable with the most common causes including severe bleeding, infections, complications during delivery, high blood pressure during pregnancy, and unsafe abortion. Maternal mortality in the United States In 2022, there were a total of 817 maternal deaths in the United States. Women aged 25 to 39 years accounted for 578 of these deaths, however, rates of maternal mortality are much higher among women aged 40 years and older. In 2022, the rate of maternal mortality among women aged 40 years and older in the U.S. was 87 per 100,000 live births, compared to a rate of 21 among women aged 25 to 39 years. The rate of maternal mortality in the U.S. has risen in recent years among all age groups. Differences in maternal mortality in the U.S. by race/ethnicity Sadly, there are great disparities in maternal mortality in the United States among different races and ethnicities. In 2022, the rate of maternal mortality among non-Hispanic white women was about 19 per 100,000 live births, while non-Hispanic Black women died from maternal causes at a rate of almost 50 per 100,000 live births. Rates of maternal mortality have risen for white and Hispanic women in recent years, but Black women have by far seen the largest increase in maternal mortality. In 2022, around 253 Black women died from maternal causes in the United States.

The average for 2020 based on 182 countries was 138 deaths per 100,000 births. The highest value was in Chad: 1063 deaths per 100,000 births and the lowest value was in Belarus: 1 deaths per 100,000 births. The indicator is available from 2000 to 2020. Below is a chart for all countries where data are available.

This statistic shows the 20 countries * with the lowest infant mortality rate in 2024. An estimated 1.5 out of 1,000 live births died in the first year of life in Slovenia and Singapore in 2024. Infant mortality Infant mortality rates are often used as an indicator of the health and well-being of a nation. Monaco, Iceland, and Japan are among the top three countries with the lowest infant mortality rates with around 2 infant deaths per 1,000 infants within their first year of life. Generally, the countries with the lowest infant mortality also have some of the highest average life expectancy figures. Additionally, the countries with the highest density of physicians and doctors also generally report low infant mortality. Yet, many different factors contribute to differing rates, including the overall income of a country, health spending per capita, a mother’s level of education, environmental conditions, and medical infrastructure, to name a few. This creates a lot of variation concerning the level of childbirth and infant care around the world. The countries with the highest rates of infant mortality include Afghanistan, Mali, and Somalia. These countries experience around 100 infant deaths per 1,000 infants in their first year of life. While the reasons for high rates of infant mortality are numerous, the leading causes of death for children under the year five around the world are Pneumonia, Diarrhea, and Prematurity.

In South Sudan, Chad, and Nigeria the maternal mortality rate was above one thousand in 2020. South Sudan recorded the highest number of mothers' deaths per 100,000 live births. That year, for every 100,000 children, 1,223 mothers died from any cause related to or aggravated by pregnancy or its management. The maternal death rate in Chad equaled to 1,063. Nigeria followed with 1,047 deaths per 100,000 live births.

The average for 2020 based on 41 countries was 9 deaths per 100,000 births. The highest value was in Cyprus: 68 deaths per 100,000 births and the lowest value was in Belarus: 1 deaths per 100,000 births. The indicator is available from 2000 to 2020. Below is a chart for all countries where data are available.

maternal mortality rate for 2020 was 409.00, a 1.68% decline from 2019.

<ul style='margin-top:20px;'>

<li> maternal mortality rate for 2019 was <strong>416.00</strong>, a <strong>2.58% decline</strong> from 2018.</li>
<li> maternal mortality rate for 2018 was <strong>427.00</strong>, a <strong>4.04% decline</strong> from 2017.</li>
<li> maternal mortality rate for 2017 was <strong>445.00</strong>, a <strong>3.05% decline</strong> from 2016.</li>
</ul>Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.

United States US: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 14.000 Ratio in 2015. This stayed constant from the previous number of 14.000 Ratio for 2014. United States US: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 13.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 15.000 Ratio in 2009 and a record low of 11.000 Ratio in 1998. United States US: Maternal Mortality Ratio: Modeled Estimate: per 100,000 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. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.

This statistic depicts the maternal mortality rate (per 100,000 live births) for developed nations in Europe, Australia and North America in 2015. According to the data, the United States had a maternal mortality rate of 26.4, compared to Finland with a maternal mortality rate of just 3.8. The U.S. has by far the highest maternal mortality rate among developed countries.

Objectives: To identify and map all trials in maternal health conducted in low- and middle-income countries (LMIC) over the 10-year period 2010-2019, to identify geographical and thematic trends, as well as compare to global causes of maternal death and pre-identified priority areas. Design: Systematic scoping review. Primary and secondary outcome measures: Extracted data included location, study characteristics and whether trials corresponded to causes of mortality and identified research priority topics. Results: Our search identified 7,269 articles, 874 of which were included for analysis. Between 2010 and 2019, maternal health trials conducted in LMICs more than doubled (50 to 114). Trials were conducted in 61 countries – 231 trials (26.4%) were conducted in Iran. Only 225 trials (25.7%) were aligned with a cause of maternal mortality. Within these trials, pre-existing medical conditions, embolism, obstructed labour, and sepsis were all under-represented when compared with number of maternal deaths globally. Large numbers of studies were conducted on priority topics such as labour and delivery, obstetric haemorrhage, and antenatal care. Hypertensive disorders of pregnancy, diabetes, and health systems and policy – despite being high-priority topics – had relatively few trials. Conclusion: Despite trials conducted in LMICs increasing from 2010 to 2019, there were significant gaps in geographical distribution, alignment with causes of maternal mortality, and known research priority topics. The research gaps identified provide guidance and insight for future research conducted in low-resource settings. Methods With support from an information specialist, a search strategy was devised to capture eligible studies (Supplemental Table 1). Search terms for maternal and perinatal health were derived from search strategies used by Cochrane Pregnancy and Childbirth to maintain and update their specialised register. We consulted the search filters developed by Cochrane EPOC to identify search terms relating to LMICs. The search strategy was applied to the Cochrane Central Register of Controlled Trials (CENTRAL), which retrieves records from PubMed/MEDLINE, Embase, CINAHL, ClinicalTrials.gov, WHO’s International Clinical Trials Registry Platform (ICTRP), KoreaMed, Cochrane Review Group’s Specialised Registers, and hand-searched biomedical sources. Searching CENTRAL directly had the benefit of restricting search results to trials only, keeping the volume of citations to screen to a manageable level. Trial register records from ClinicalTrials.gov and WHO ICTRP were not included in the records retrieved from CENTRAL. The search was conducted on 1 May 2020. Citation management, identification of duplicates, and screening articles for eligibility were conducted using EndNote and Covidence. Two reviewers independently screened titles and abstracts of all retrieved citations to identify those that were potentially eligible. Full texts for these articles were accessed and assessed by two independent reviewers according to the eligibility criteria. At both steps, any disagreements were resolved through discussion or consulting a third author. Data collection and analysis For each included trial we extracted information on title, author, year of publication, location where the trial was conducted (country and SDG region), unit of randomisation (individual or cluster), category of intervention, intervention level (public health, community, primary care, hospital, and health system), and category of the primary outcome(s). The intervention and outcome categories were adapted from Cochrane’s list of ‘higher-level categories for interventions and outcomes’. For trials with more than one primary outcome, we identified a single, most appropriate outcome category through discussion and consensus amongst review authors. The level of intervention was determined based on the level of the healthcare system that the trial was primarily targeting – for example, trials recruiting women at an antenatal clinic were classified as primary care level. Public health and preventative care were defined as interventions for those in the community who were well, while home; and community care was defined as interventions for those in the community who were unwell. Based on the trial’s primary objective, we tagged each trial to one of 35 maternal health topics, as well as classified them by relevance to a cause of maternal death identified by Say et al in their global systematic analysis (Box 1). Included trials were additionally categorised into global research priority topics identified by Souza et al and Chapman et al. The research priorities identified by Souza et al were ranked based on the distribution of maternal health themes across the 190 priority research questions – i.e., the theme with the most research questions was considered the highest-ranked priority topic. This mirrored the process used by Chapman et al, where research topics with the greatest representation within the 100 research questions, based on percentage, were given the highest rank. For each trial identified in our review, we used the variables extracted to classify it according to priority topics identified in Souza et al or Chapman et al, where possible (Box 1). All data were extracted by two independent reviewers, with results compared to ensure consistency and any disputes resolved through discussion or consultation with a third author. As this was a scoping review, we did not perform quality assessments on individual trials. We conducted descriptive analyses using Excel to determine frequencies of extracted variables and used line graphs to explore trends. We assessed trends over time using proportions of each variable within studies available for a given year. While we initially planned to look at trends in individual countries and interventions, many had few or no data points.

Libya LY: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 9.000 Ratio in 2015. This stayed constant from the previous number of 9.000 Ratio for 2014. Libya LY: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 13.500 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 39.000 Ratio in 1990 and a record low of 9.000 Ratio in 2015. Libya LY: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Libya – Table LY.World Bank.WDI: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.

Maternal mortality ratio is defined as the number of female deaths due to obstetric causes (ICD-10 codes: A34, O00-O95, O98-O99) while pregnant or within 42 days of termination of pregnancy. The maternal mortality ratio indicates the likelihood of a pregnant person dying of obstetric causes. It is calculated by dividing the number of deaths among birthing people attributable to obstetric causes in a calendar year by the number of live births registered for the same period and is presented as a rate per 100,000 live births. The number of live births used in the denominator approximates the population of pregnant and birthing people who are at risk. Data are not presented for geographies with number of maternal deaths less than 11.Compared to other high-income countries, women in the US are more likely to die from childbirth or problems related to pregnancy. In addition, there are persistent disparities by race and ethnicity, with Black pregnant persons experiencing a much higher rate of maternal mortality compared to White pregnant persons. Improving the quality of medical care for pregnant individuals before, during, and after pregnancy can help reduce maternal deaths.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Poland maternal mortality rate for 2020 was 2.00, a 0% increase from 2019.

<ul style='margin-top:20px;'>

<li>Poland maternal mortality rate for 2019 was <strong>2.00</strong>, a <strong>0% increase</strong> from 2018.</li>
<li>Poland maternal mortality rate for 2018 was <strong>2.00</strong>, a <strong>0% increase</strong> from 2017.</li>
<li>Poland maternal mortality rate for 2017 was <strong>2.00</strong>, a <strong>0% increase</strong> from 2016.</li>
</ul>Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.

Japan JP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 5.000 Ratio in 2015. This records a decrease from the previous number of 6.000 Ratio for 2014. Japan JP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 8.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 14.000 Ratio in 1990 and a record low of 5.000 Ratio in 2015. Japan JP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 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. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.

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.

Philippines maternal mortality rate for 2023 was 84.00, a 8.7% decline from 2022.

<ul style='margin-top:20px;'>

<li>Philippines maternal mortality rate for 2022 was <strong>92.00</strong>, a <strong>39.87% decline</strong> from 2021.</li>
<li>Philippines maternal mortality rate for 2021 was <strong>153.00</strong>, a <strong>73.86% increase</strong> from 2020.</li>
<li>Philippines maternal mortality rate for 2020 was <strong>88.00</strong>, a <strong>4.35% decline</strong> from 2019.</li>
</ul>Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.

BackgroundFor countries to contribute to Sustainable Development Goal 3.1 of reducing the global maternal mortality ratio (MMR) to less than 70 per 100,000 live births by 2030, identifying the drivers of maternal mortality is critically important. The ability of countries to identify the key drivers is however hampered by the lack of data sources with sufficient observations of maternal death to allow a rigorous analysis of its determinants. This paper overcomes this problem by utilising census data. In the context of Indonesia, we merge individual-level data on pregnancy-related deaths and households’ socio-economic status from the 2010 Indonesian population census with detailed data on the availability and quality of local health services from the Village Census. We use these data to test the hypothesis that health service access and quality are important determinants of maternal death and explain the differences between high maternal mortality and low maternal mortality provinces.MethodsThe 2010 Indonesian Population Census identifies 8075 pregnancy-related deaths and 5,866,791 live births. Multilevel logistic regression is used to analyse the impacts of demographic characteristics and the existence of, distance to and quality of health services on the likelihood of maternal death. Decomposition analysis quantifies the extent to which the difference in maternal mortality ratios between high and low performing provinces can be explained by demographic and health service characteristics.FindingsHealth service access and characteristics account for 23% (CI: 17.2% to 28.5%) of the difference in maternal mortality ratios between high and low-performing provinces. The most important contributors are the number of doctors working at the community health centre (8.6%), the number of doctors in the village (6.9%) and distance to the nearest hospital (5.9%). Distance to health clinics and the number of midwives at community health centres and village health posts are not significant contributors, nor is socio-economic status. If the same level of access to doctors and hospitals in lower maternal mortality Java-Bali was provided to the higher maternal mortality Outer Islands of Indonesia, our model predicts 44 deaths would be averted per 100,000 pregnancies.ConclusionIndonesia has employed a strategy over the past several decades of increasing the supply of midwives as a way of decreasing maternal mortality. While there is evidence of reductions in maternal mortality continuing to accrue from the provision of midwife services at village health posts, our findings suggest that further reductions in maternal mortality in Indonesia may require a change of focus to increasing the supply of doctors and access to hospitals. If data on maternal death is collected in a subsequent census, future research using two waves of census data would prove a useful validation of the results found here. Similar research using census data from other countries is also likely to be fruitful.

Malta maternal mortality rate for 2023 was 8.00, a 20% decline from 2022.

<ul style='margin-top:20px;'>

<li>Malta maternal mortality rate for 2022 was <strong>10.00</strong>, a <strong>0% increase</strong> from 2021.</li>
<li>Malta maternal mortality rate for 2021 was <strong>10.00</strong>, a <strong>0% increase</strong> from 2020.</li>
<li>Malta maternal mortality rate for 2020 was <strong>10.00</strong>, a <strong>25% increase</strong> from 2019.</li>
</ul>Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.

The average for 2020 based on 45 countries was 69 deaths per 100,000 births. The highest value was in Afghanistan: 620 deaths per 100,000 births and the lowest value was in Israel: 3 deaths per 100,000 births. The indicator is available from 2000 to 2020. Below is a chart for all countries where data are available.

The Sustainable Development Goals prioritize maternal mortality reduction, with a global average target of < 70 per 100,000 live births by 2030. Current pace of reduction is far short of what is needed to achieve the global target. It is estimated that globally there are 300,000 maternal deaths, 2.4 million newborn deaths and 2 million stillbirths annually. Majority of these deaths occur in low-and-middle-income countries. Global initiatives like, Ending Preventable Maternal Mortality (EPMM) and Every Newborn Action Plan (ENAP), have outlined the broad strategies for maternal and newborn health programmes. A set of coverage targets and ten milestones were launched to support low-and-middle-income countries in accelerating progress in improving maternal, perinatal and newborn health and wellbeing. WHO, UNICEF and UNFPA, undertook a scoping review to understand how country strategies evolved in different contexts over the past two decades to improve maternal survival and wellbeing, and how countries in similar settings could accelerate progress considering the changing epidemiology and demography. Case studies were conducted to inform countries in similar settings and various global initiatives. Six countries were selected based on standard criteria—Cambodia, Democratic Republic of the Congo, Georgia, Guatemala, Pakistan and Sierra Leone representing different stages of the obstetric transition. A conceptual framework, encapsulating the interrelated factors impacting maternal health outcomes, was used to organize data collection and analysis. While all six countries made remarkable progress in improving maternal and perinatal health, the pace of progress and the factors influencing the successes and challenges varied across the countries. The context, opportunities and challenges varied from country to country. Two strategic directions were identified for next steps including the need to implement and evaluate innovative service delivery models using an updated obstetric transition as an organizing framework and expanding our vision to address equity and well-being.

Iraq IQ: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 420.000 NA in 2015. This records an increase from the previous number of 410.000 NA for 2014. Iraq IQ: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 340.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 420.000 NA in 2015 and a record low of 160.000 NA in 1990. Iraq IQ: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iraq – Table IQ.World Bank: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;