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.

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.

Listening to Mothers™ surveys (2002 - to present) investigate women's childbearing experiences from pregnancy (and sometimes earlier) through the postpartum period, and their views about these matters. National Listening to Mothers surveys to date were led by Childbirth Connection, which became a core program of the National Partnership for Women & Families in 2014. Listening to Mothers in California, led by the National Partnership for Women & Families, is the first state-level Listening to Mothers survey. This population-based survey of women who gave birth in California hospitals in 2016 was carried out by core Listening to Mothers investigators at the National Partnership for Women & Families and at Boston University School of Public Health, joined by investigators at what is now known as the University of California San Francisco Center for Health Equity, in collaboration with the survey research firm Quantum Market Research. California Health Care Foundation and Yellow Chair Foundation funded the survey. As investigators had access to selected birth certificate items for sampling, contacting sampled women, data weighting and data analyses, the methodology of this survey differs from the methodology used in national Listening to Mothers surveys. Other differences between past national surveys and this state-level survey include the ability to participate in the state survey in either English or Spanish and to participate on any device, as well as with a trained interviewer. Eligible women could participate in past national surveys in English only and either on their own with a laptop or desktop computer or by telephone with a trained interviewer. The Listening to Mothers in California survey questionnaire retained some core items that had been included in previous surveys, adapted others (including for mobile-first display), and included new items developed to explore the evolving U.S. health and maternity care environment and topics relevant to the California context. Topics included care arrangements, maternity care (and especially care during the hospital stay for giving birth), mode of birth, respectful and disrespectful treatment, postpartum experiences, and perinatal mental health (especially anxiety and depression). The public dataset is limited to items provided by survey participants while completing the survey, exclusive of personally identifiable information. For their analyses, the survey investigators have access to two additional sources of information about survey participants that cannot be made public: selected items on participants’ birth certificates and selected items abstracted from the California Department of Health Care Services Management Information System/Decision Support System Warehouse. Much information about the California survey is available at either www.nationalpartnership.org/LTMCA or www.chcf.org/listening-to-mothers-CA. Information about national surveys (including a bibliography of analyses carried out to date and other reports) is available at www.nationalpartnership.org/listeningtomothers/.

This data is derived from the Maternity Indicators dataset which is provided to the Welsh Government by Digital Health and Care Wales (DHCW). The Maternity Indicators dataset was established in 2016. It combines records from a mother’s initial assessment with a child’s birth record and enabled Welsh Government to monitor its initial set of outcome indicators and performance measures (Maternity Indicators) which were established to measure the effectiveness and quality of Welsh maternity services. The Maternity Indicators dataset allows us to analyse characteristics of the mother’s pregnancy and birth process. The process for producing this data extract is complex largely because there can be multiple initial assessment data and records for both initial assessments and births are not always complete. Full details of every data item available in the Maternity Indicators dataset are available through the NHS Wales Data Dictionary: http://www.datadictionary.wales.nhs.uk/#!WordDocuments/datasetstructure20.htm Gestational age is based on the best estimate available for when pregnancy started, based on either date of last menstrual period or from an ultrasound scan

United States US: Fertility Rate: Total: Births per Woman data was reported at 1.800 Ratio in 2016. This records a decrease from the previous number of 1.843 Ratio for 2015. United States US: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 2.002 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 3.654 Ratio in 1960 and a record low of 1.738 Ratio in 1976. United States US: Fertility Rate: Total: Births per Woman 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. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

This data is derived from the Maternity Indicators dataset which is provided to the Welsh Government by Digital Health and Care Wales (DHCW). The Maternity Indicators dataset was established in 2016. It combines records from a mother’s initial assessment with a child’s birth record and enabled Welsh Government to monitor its initial set of outcome indicators and performance measures (Maternity Indicators) which were established to measure the effectiveness and quality of Welsh maternity services. The Maternity Indicators dataset allows us to analyse characteristics of the mother’s pregnancy and birth process. The process for producing this data extract is complex largely because there can be multiple initial assessment data and records for both initial assessments and births are not always complete. Full details of every data item available in the Maternity Indicators dataset are available through the NHS Wales Data Dictionary: http://www.datadictionary.wales.nhs.uk/#!WordDocuments/datasetstructure20.htm

Number and percentage of live births, by month of birth, 1991 to most recent year.

This data is derived from the Maternity Indicators dataset which is provided to the Welsh Government by Digital Health and Care Wales (DHCW). The Maternity Indicators dataset was established in 2016. It combines records from a mother’s initial assessment with a child’s birth record and enabled Welsh Government to monitor its initial set of outcome indicators and performance measures (Maternity Indicators) which were established to measure the effectiveness and quality of Welsh maternity services. The Maternity Indicators dataset allows us to analyse characteristics of the mother’s pregnancy and birth process. The process for producing this data extract is complex largely because there can be multiple initial assessment data and records for both initial assessments and births are not always complete. Full details of every data item available in the Maternity Indicators dataset are available through the NHS Wales Data Dictionary: http://www.datadictionary.wales.nhs.uk/#!WordDocuments/datasetstructure20.htm The mental health conditions listed on the record are categorised as: puerperal psychosis (severe postnatal depression); bi-polar effective disorder/manic depression; psychosis; psychotic depression; schizophrenia; and other (any other mental health condition).

Listening to Mothers II, a national survey of women who gave birth in U.S. hospitals in 2005, continued to break new ground. In addition to documenting many core items measured in the first survey, the second survey also explored earlier topics in greater depth and some new and timely topics. Topics covered in Listening to Mothers II report include: Planning for pregnancy and the pregnancy experience — prenatal care, childbirth education, TV shows depicting birth and more; Women's ex perience giving birth — caregivers, labor induction and other interventions, feelings while giving birth, vaginal and cesarean births, and more; Home with a new baby — breastfeeding, physical well-being, mental health and more; Experience with employment and health insurance; Choice, control, knowledge and decision making — who should make decisions, knowledge needed for decisions, pressure to have interventions and more; Some important variation — comparisons between women with vaginal birth and cesarean section, first-time and experienced mothers and by race/ethnicity.

Association between assisted reproductive technology and severe maternal morbidity, using unadjusted and adjusted models for all covariates.

BackgroundUtilization of skilled birth attendance during home delivery of pregnant women is proven to reduce complications during and after childbirth. Though the utilization of skilled birth attendance (SBA) during home delivery has increased significantly in recent times, the rate of utilizing skilled birth attendance is still low in several regions across India. The objective of this study is to analyze the prevalence and to identify the determinants of the utilization of skilled birth attendance during home delivery of pregnant women in India.MethodsTo conduct this study, data and information from the Indian Demographic and Health Survey 2015–16 have been utilized. The sample size for this study is a weighted sample of 41,171 women. The sample consisted of women who had given a live birth in the three years preceding the survey. For women with more than one child, only the first live birth was considered. The binary logistic regression model and the log-binary logistic regression analysis have been applied as the adjusted odds ratios (AORs) with 95% confidence intervals for identifying the determinants of home-based skilled birth attendance during delivery. That allows us to select the most appropriate model for our study objective by ensuring that the determinants of skilled birth attendance for home delivery are accurately assessed based on the characteristics of the data.ResultsThe analyses show that only 18.8% of women had utilized skilled birth attendance during delivery. Women residing in urban areas are more likely to utilize skilled birth attendance during home delivery (AOR: 1.14; 95% CI: 1.08–1.20). Women having higher education levels are associated with increased use of SBA during home delivery (AOR: 1.15; 95% CI: 1.04–1.28). Exposure to media is associated with increased utilization of SBA (AOR: 1.17; 95% CI: 1.11–1.23). Overweight women are also more likely to avail the SBA during home delivery (AOR: 1.11; 95% CI: 1.03–1.19). Women belonging to affluent households have higher odds of utilizing skilled birth attendance (AOR: 1.41; 95% CI: 1.33–1.49). Having 3+ tetanus injections is associated with the utilization of SBA (AOR: 1.56; 95% CI: 1.43–1.69). Women having 4+ antenatal care visits were more likely to utilize SBA (AOR: 1.81; 95% CI: 1.71–1.92). Women belonging to the Hindu religion were 1.12 times more likely to utilize SBA (AOR: 1.12; 95% CI: 1.07–1.18). Women with 1 to 3 birth orders were 1.40 times more likely to utilize skilled birth attendance during home delivery (AOR: 1.40; 95% CI: 1.30–1.51).ConclusionThe percentage of women utilizing skilled birth attendance during home delivery is still very low which is a matter of serious concern. Several factors have been found to be associated with the utilization of SBA during home delivery in India. As skilled birth attendance has significant positive health outcomes for pregnant women and newborns, efforts to increase the rate of SBA utilization during home delivery should be undertaken.