The number of maternal deaths and maternal mortality rates for selected causes, 2000 to most recent year.

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.

Women 40 years and over have the highest rates of maternal mortality in the United States. In 2023, the rate of maternal mortality among this age group was around 60 per 100,000 live births. This statistic presents maternal mortality rates in the United States from 2018 to 2023, by age group.

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.

For most of human history, pregnancy and childbirth were very risky; mothers would die in at least 1 in 100 pregnancies.1

Since the average woman would have at least four or five children, the lifetime risk of dying from maternal causes would be at least 1 in 25.2 This was true everywhere.

Thankfully, that’s no longer the case. We’ve made huge strides in not only protecting infants in childbirth and the early stages of their lives, but we’ve also made it much safer for women.

But we’re not done yet. There are still huge inequalities in the risks of pregnancy across the world. Pregnant women in countries like Sierra Leone and Kenya are around 100 times more likely to die during pregnancy or childbirth than those in countries like Norway, Sweden, or Germany.3 But it doesn’t have to be this way. We could save hundreds of thousands of lives a year by closing these gaps.

I’ve compared three scenarios in the chart below to clarify these points.

First, we can see that the situation today is awful. 286,000 women died from maternal causes in 2020.4 That’s 784 deaths per day on average, or one mother dying every two minutes.5

Second, we can consider the very high maternal mortality rates of the past. Particularly good long-term data is available for Finland or Sweden, which shows that in 1750, around 900 women died per 100,000 live births.6 Since there were 135 million births in 2020, I calculate that 1.2 million women would have died from maternal causes that year if these rates hadn’t improved.7 Things are much, much better than they used to be.

Finally, things can still be much better. We know this because some countries have maternal mortality rates that are far lower than the global average. And they all used to be in a similar position to the worst-off countries today. In Europe, the maternal mortality rate was 8 deaths per 100,000 live births in 2020. That’s around 25 times lower than the global average.8 If all countries could achieve the same outcomes as Europe, 11,000 women would have died from maternal causes in 2020 — a small fraction of the 286,000 deaths that occurred.9

Providing the best conditions for women everywhere would reduce the global death toll by 275,000 maternal deaths a year.

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.

In 2023, non-Hispanic Black women had the highest rates of maternal mortality among select races/ethnicities in the United States, with 50.3 deaths per 100,000 live births. The total maternal mortality rate in the U.S. at that time was 18.6 per 100,000 live births, a decrease from a rate of almost 33 in 2021. This statistic presents the maternal mortality rates in the United States from 2018 to 2023, by race and ethnicity.

Abstract This article explores women’s reproductive health in early twentieth-century Rio de Janeiro, showing that elevated and sustained stillbirth and maternal mortality rates marked women’s reproductive years. Syphilis and obstetric complications during childbirth were the main causes of stillbirths, while puerperal fever led maternal death rates. Utilizing traditional sources such as medical dissertations and lesser-used sources including criminal investigations, this article argues that despite official efforts to medicalize childbirth and increase access to clinical healthcare, no real improvements were made to women’s reproductive health in the first half of the twentieth century. This, of course, did not make pregnancy and childbirth any easier for the women who embodied these statistics in their reproductive lives.

Abstract: This study analyzed the occurrence of severe maternal morbidity, the most frequent diagnostic criteria, and the quality of obstetric care in public hospitals in Ribeirão Preto, São Paulo State, Brazil. A quantitative surveillance survey of severe maternal morbidity used World Health Organization (WHO) criteria for potentially life-threatening conditions and maternal near miss. Cases were identified from August 1, 2015, to February 2, 2016. The sample included 259 women with severe maternal morbidity (potentially life-threatening conditions/maternal near miss) during the gestational and postpartum cycle, hospitalized for childbirth in the four public institutions providing obstetric care in the city. The descriptive analysis was based on absolute and relative rates of diagnostic criteria for potentially life-threatening conditions and maternal near miss, besides description of the women in the sample (sociodemographic characteristics, obstetric history, and prenatal and childbirth care). Quality of care indicators set by the WHO based on morbimortality were also calculated. There were 3,497 deliveries, 3,502 live births in all the hospitals in the city, two maternal deaths, and 19 maternal near miss. Maternal near miss ratio was 5.4 cases per 1,000 live births, and the maternal mortality ratio was 57.1 deaths per 100,000 live birth. The mortality rate among cases with severe maternal outcome (maternal near miss plus maternal death) was 9.5%. The study revealed important potentially life-threatening conditions and maternal near miss rates. The occurrence of deaths from hemorrhagic causes highlights the need to improve the quality of obstetric care. The findings can potentially help improve local policy for obstetric care.

In 2023, there were around 259 maternal deaths among non-Hispanic white women in the United States. This statistic presents the number of maternal deaths in the United States from 2018 to 2023, by race and ethnicity.

Austria AT: Number of Maternal Death data was reported at 5.000 Person in 2023. This records a decrease from the previous number of 6.000 Person for 2022. Austria AT: Number of Maternal Death data is updated yearly, averaging 5.000 Person from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 12.000 Person in 1986 and a record low of 4.000 Person in 2009. Austria AT: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Austria – Table AT.World Bank.WDI: Social: Health Statistics. A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.;WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in maternal mortality estimates 2000 to 2023. Geneva, World Health Organization, 2025;Sum;

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.

Number and percentage of live births and fetal deaths (stillbirths), by place of birth (hospital or non-hospital), 1991 to most recent year.

In 2022, the number of deaths resulting from complications of pregnancy, childbirth, and puerperium amounted to ** cases in Spain, up from ** deaths registered in 2020. This figure experienced fluctuations during the analyzed period, reaching its highest value in 2008 when maternal deaths added up to ** cases in the European country. Women between 30 and 39 years account for the highest number of pregnancy-related deaths in Spain.

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).

In Nigeria, Chad, South Sudan, and the Central African Republic, the maternal mortality rate was over 650 per 100,000 live births in 2023, respectively. Nigeria recorded the highest rate on the continent. That year, for every 100,000 children, 993 mothers died from any cause related to or aggravated by pregnancy or its management. The maternal death rate in Chad equaled 748. South Sudan and the Central African Republic followed with 692 deaths per 100,000 live births each.

In several U.N. Sustainable Development Goals, the In several U.N. Sustainable Development Goals, reduction of child mortality is reflected as a critical indicator of human progress. The UN expects that by 2030, countries end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce under‑5 mortality to at least as low as 25 per 1,000 live births. Parallel to the notion of child mortality is maternal mortality, which accounts for 295 000 deaths during and following pregnancy and childbirth (as of 2017). Almost all of these deaths (94%) happened in low-resource settings, and many were preventable. In light of what has been discussed thus far, Cardiotocograms (CTGs) are an easy and cost-effective option for healthcare professionals to assess fetal health and prevent child and maternal mortality. In addition to fetal heart rate (FHR), uterine contractions, fetal movements and more, the ultrasound device itself works by sending an ultrasound pulse and reading the response.

This Dataset contains the following features:

Baseline value - Baseline Fetal Heart Rate (FHR) Accelerations - Number of accelerations per second Fetal_movement - Number of fetal movements per second Uterine_contractions - Number of uterine contractions per second Light_decelerations - Number of LDs per second Severe_decelerations - Number of SDs per second Prolongued_decelerations - Number of PDs per second Abnormal_short_term_variability - Percentage of time with abnormal short term variability Mean_value_of_short_term_variability - Mean value of short term variability Percentage_of_time_with_abnormal_long_term_variability - Percentage of time with abnormal long term variability

Abstract Objectives: to describe the trend of preventable neonatal mortality due to interventions by the Unified Health System in Brazil from 2000 to 2018, according to groups of causes of death and maternal residence. Methods: mixed ecological study with data from the Mortality Information System and Information System on Live Births. The analysis occurred based on the number and rates of avoidable neonatal mortality, polynomial regression models by least squares method and thematic maps. Results: the avoidable neonatal mortality rate decreased from 10.98 in 2000 to 6.76 per 1,000 live births in 2018. Preventable causes prevailed due to adequate care for women during pregnancy, childbirth, fetus and newborn. Deaths from preventable causes from health promotion actions during pregnancy increased in Maranhão (p=0.003) and the Federal District (p=0.001) and remained stable in nine states. There was stability in the rates of mortality due to delivery in Maranhão, Piauí and Amazonas. The causes avoidable by actions with the newborn showed a decreasing trend, except for Roraima where there was stability. Conclusions: there are inequalities in trends of avoidable neonatal mortality rates in the states second according to the group of causes and the need to improve access to and quality of maternal and child health care in these places

BackgroundIn 2008, over 300,000 women died during pregnancy or childbirth, mostly in poor countries. While there are proven interventions to make childbirth safer, there is uncertainty about the best way to deliver these at large scale. In particular, there is currently a debate about whether maternal deaths are more likely to be prevented by delivering effective interventions through scaled up facilities or via community-based services. To inform this debate, we examined delivery location and attendance and the reasons women report for giving birth at home. Methodology/Principal FindingsWe conducted a secondary analysis of maternal delivery data from Demographic and Health Surveys in 48 developing countries from 2003 to the present. We stratified reported delivery locations by wealth quintile for each country and created weighted regional summaries. For sub-Saharan Africa (SSA), where death rates are highest, we conducted a subsample analysis of motivations for giving birth at home. In SSA, South Asia, and Southeast Asia, more than 70% of all births in the lowest two wealth quintiles occurred at home. In SSA, 54.1% of the richest women reported using public facilities compared with only 17.7% of the poorest women. Among home births in SSA, 56% in the poorest quintile were unattended while 41% were attended by a traditional birth attendant (TBA); 40% in the wealthiest quintile were unattended, while 33% were attended by a TBA. Seven per cent of the poorest women reported cost as a reason for not delivering in a facility, while 27% reported lack of access as a reason. The most common reason given by both the poorest and richest women for not delivering in a facility was that it was deemed “not necessary” by a household decision maker. Among the poorest women, “not necessary” was given as a reason by 68% of women whose births were unattended and by 66% of women whose births were attended. ConclusionsIn developing countries, most poor women deliver at home. This suggests that, at least in the near term, efforts to reduce maternal deaths should prioritize community-based interventions aimed at making home births safer.

This dataset presents the crude rate of neonatal mortality, defined as the number of deaths of infants aged under 28 days per 1,000 live births. It is a vital indicator of perinatal and maternal health, reflecting the quality of antenatal, intrapartum, and neonatal care services.

Rationale Reducing neonatal mortality is a key public health goal. Elevated rates may indicate challenges in maternal health, access to quality healthcare during pregnancy and childbirth, or complications in the early neonatal period. Monitoring this indicator supports efforts to improve maternity services and early life outcomes.

Numerator The numerator is the number of deaths of infants aged under 28 days registered during the relevant period. Data are sourced from the Deaths Register.

Denominator The denominator is the number of live births registered during the same period. Births are assigned to geographical areas based on the mother’s usual residence. Data are sourced from the Births Register.

Caveats Live births are geographically assigned based on the mother’s usual residence, which may differ from the location of the birth or death. This should be considered when interpreting local-level data.

External References Fingertips Public Health Profiles – Neonatal Mortality Rate

Click here to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.