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.

English

Context

Maternal mortality reflects the level of development in a society and involves various social and familial factors. In 2000, the UN established the goal of Improving Maternal Health within the Millennium Development Goals (MDGs), aiming to reduce maternal mortality rate (MMR) by 75% between 1990 and 2015. However, this goal was not achieved.

Currently, the Good Health and Well-Being goal within the Sustainable Development Goals (SDGs) seeks to reduce MMR to less than 70 per 100,000 live births by 2030. This issue disproportionately affects developing countries, with Latin America and the Caribbean experiencing stagnation at 67.2 maternal deaths per 100,000 live births.

To contribute to the analysis and solution of this problem through data science and artificial intelligence, we developed this synthetic dataset of pregnant patients as part of the project "Computational Phenotypes of Maternal Morbidity Using AI".

Development

This dataset was built using open data sources and patient simulation tools. The following resources were used:

• DANE - 2018 Population Census
• DIVIPOLA - Municipality Codes
• List of Healthcare Providers in Colombia

A new pregnancy module was developed for Synthea, based on evidence and domain knowledge from the research team. The generated data was transformed into the OMOP CDM data model using the ETL-Synthea tool.

Scope and Considerations

• Cost-related tables were removed due to differences in Synthea modeling compared to the local context.
• For the medical vocabulary, OMOP tables need to be created (See Instructions), and required vocabularies must be downloaded, some of which may require a license.

Acknowledgments

This dataset was developed with funding from the Latin American Center for Artificial Intelligence (CLIAS), as part of the project "Computational Phenotypes of Maternal Morbidity Using Artificial Intelligence" (ID 82).

Spanish

Contexto

La muerte materna refleja el nivel de desarrollo de una sociedad e implica diversos factores sociales y familiares. En el año 2000, la ONU estableció el objetivo de Mejorar la salud materna dentro de los Objetivos de Desarrollo del Milenio, buscando reducir en un 75% la tasa de mortalidad materna (MMR) entre 1990 y 2015. Sin embargo, la meta no se alcanzó.

Actualmente, el objetivo Salud y Bienestar dentro de los Objetivos de Desarrollo Sostenible (ODS) busca reducir la MMR a menos de 70 para 2030. Este problema afecta especialmente a países en desarrollo, y en América Latina y el Caribe, la MMR se ha estancado en 67,2 muertes por cada 100.000 nacidos vivos.

Para contribuir al análisis y solución de este problema desde la ciencia de datos e inteligencia artificial, desarrollamos este conjunto de datos sintéticos de pacientes gestantes como parte del proyecto "Fenotipos Computacionales de Morbilidad Materna mediante IA".

Desarrollo

Este dataset se construyó utilizando fuentes de datos abiertos y herramientas de simulación de pacientes. Se utilizaron los siguientes recursos:

• DANE - Censo de población 2018
• DIVIPOLA - Códigos de municipios
• Listado de IPS en Colombia

Se desarrolló un nuevo módulo de embarazo en Synthea, basado en evidencia y conocimientos del equipo de investigación. Los datos generados fueron transformados al modelo de datos OMOP CDM utilizando la herramienta ETL-Synthea.

Alcance y Consideraciones

• Las tablas relacionadas con los costos fueron eliminadas debido a las diferencias en la modelación de Synthea frente al contexto local.
• Para el vocabulario médico, se requiere la creación de las tablas en OMOP (Ver **[Instr...

Find data on maternal and child health in Massachusetts by race and Hispanic ethnicity.

This data presents national-level provisional maternal mortality rates based on a current flow of mortality and natality data in the National Vital Statistics System. Provisional rates which are an early estimate of the number of maternal deaths per 100,000 live births, are shown as of the date specified and may not include all deaths and births that occurred during a given time period (see Technical Notes). A maternal death is the death of a woman while pregnant or within 42 days of termination of pregnancy irrespective of the duration and the site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes. In this data visualization, maternal deaths are those deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers A34, O00–O95, and O98–O99. The provisional data include reported 12 month-ending provisional maternal mortality rates overall, by age, and by race and Hispanic origin. Provisional maternal mortality rates presented in this data visualization are for “12-month ending periods,” defined as the number of maternal deaths per 100,000 live births occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2020 would include deaths and births occurring from July 1, 2019, through June 30, 2020. Evaluation of trends over time should compare estimates from year to year (June 2020 and June 2021), rather than month to month, to avoid overlapping time periods. In the visualization and in the accompanying data file, rates based on death counts less than 20 are suppressed in accordance with current NCHS standards of reliability for rates. Death counts between 1-9 in the data file are suppressed in accordance with National Center for Health Statistics (NCHS) confidentiality standards. Provisional data presented on this page will be updated on a quarterly basis as additional records are received. Previously released estimates are revised to include data and record updates received since the previous release. As a result, the reliability of estimates for a 12-month period ending with a specific month will improve with each quarterly release and estimates for previous time periods may change as new data and updates are received.

Context

The Maternal Mortality Ratio (MMR) is a crucial indicator within the Gender Inequality Index (GII), an encompassing measure designed to assess gender disparities and inequities within a society. The GII, an extension of the Human Development Index (HDI), focuses on three primary dimensions: reproductive health, empowerment, and economic activity. Reproductive health, one of the key dimensions, sheds light on the challenges faced by individuals based on their gender. Within this context, the Maternal Mortality Ratio specifically gauges the number of maternal deaths per 100,000 live births, providing insight into the disparities in health outcomes experienced by women. This indicator reflects the state of maternal health and underscores the importance of addressing reproductive rights to mitigate gender inequalities.

Content

This dataset encompasses extensive historical information regarding gender development indicators on a global scale. Key columns include ISO3 (the ISO3 code assigned to each country/territory), Country (the name of the country or territory), Continent (the continent of the country's location), Hemisphere (the hemisphere in which the country is positioned), Human Development Groups, UNDP Developing Regions, HDI Rank (2021) representing the Human Development Index Rank for the year 2021, and Maternal Mortality Ratio (deaths per 100,000 live births) spanning from 1990 to 2021.

Dataset Glossary (Column-wise)

• ISO3 - ISO3 for the Country/Territory
• Country - Name of the Country/Territory
• Continent - Name of the Continent
• Hemisphere - Name of the Hemisphere
• Human Development Groups - Human Development Groups
• UNDP Developing Regions - UNDP Developing Regions
• HDI Rank (2021) - Human Development Index Rank for 2021
• Maternal Mortality Ratio (deaths per 100,000 live births) from 1990 to 2021 - Maternal Mortality Ratio from 1990 to 2021

Data Dictionary

• UNDP Developing Regions:
  • SSA - Sub-Saharan Africa
  • LAC - Latin America and the Caribbean
  • EAP - East Asia and the Pacific
  • AS - Arab States
  • ECA - Europe and Central Asia
  • SA - South Asia

Structure of the Dataset

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Acknowledgement

This Dataset is created from Human Development Reports. This Dataset falls under the Creative Commons Attribution 3.0 IGO License. You can check the Terms of Use of this Data. If you want to learn more, visit the Website.

Cover Photo by: Image by gstudioimagen1 on Freepik

Thumbnail by: Baby icons created by Victoruler - Flaticon

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.

Canada CA: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 12.000 Ratio in 2023. This records a decrease from the previous number of 15.000 Ratio for 2022. Canada CA: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 10.000 Ratio from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 17.000 Ratio in 2020 and a record low of 7.000 Ratio in 1990. Canada CA: 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 Canada – Table CA.World Bank.WDI: Social: 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 UNDESA/Population Division. Trends in maternal mortality estimates 2000 to 2023. Geneva, World Health Organization, 2025;Weighted average;This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator (3.1.1) for monitoring maternal health.

The Task Force on Maternal Health Data and Quality Measures is established for the purpose of evaluating maternal health data collection processes to guide policies in the Commonwealth to improve maternal care, quality, and outcomes for all birthing people in the Commonwealth.

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.

This dataset presents the total number of maternal deaths reported per country in a given reference year. Maternal death is defined as the death of a woman during pregnancy or within 42 days of termination of pregnancy, from causes related to or aggravated by the pregnancy or its management. This absolute number provides important context alongside the maternal mortality ratio (MMR), supporting understanding of overall burden and trends over time. Data are sourced from the WHO Global Health Observatory, which provides globally standardised maternal health statistics.Data Source:WHO Global Health Observatory: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-maternal-deathsThis is one of many datasets featured on the Midwives’ Data Hub, a digital platform designed to strengthen midwifery and advocate for better maternal and newborn health services.

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 dataset provides a comprehensive collection of maternal health data, focusing on key health indicators throughout pregnancy. It includes essential details such as the mother’s age, gravida (number of pregnancies), weight, height, blood pressure, gestational age, and fetal health status. In addition to these primary metrics, the dataset captures important medical test results, including anemia, blood sugar levels, and fetal heart rate, providing a thorough overview of both maternal and fetal well-being. The dataset categorizes pregnancies into high-risk and non-high-risk based on various factors such as abnormal blood pressure readings, test results, and fetal health conditions. This classification can be vital for prenatal care and early risk detection, facilitating interventions for at-risk pregnancies. Collected manually from healthcare records, the dataset ensures data accuracy and reliability. Each entry has been anonymized to protect patient privacy and guarantee ethical standards. This dataset serves as an invaluable resource for research in maternal health, predictive analytics, and pregnancy outcome studies. It can be used for developing models to assess pregnancy risks, guide healthcare interventions, and improve prenatal care strategies globally. Researchers, healthcare professionals, and data scientists can leverage this dataset to gain deeper insights into pregnancy-related health trends and explore potential factors influencing maternal and fetal health outcomes.

Link: https://data.mendeley.com/datasets/8k9pvpmykk/1#:~:text=This%20dataset%20provides%20a%20comprehensive%20collection%20of%20maternal,blood%20pressure%2C%20gestational%20age%2C%20and%20fetal%20health%20status.

Data by medical encounter for the following conditions by age, race/ethnicity, and sex (gender): Congenital Anomalies Maternal Complications

Visit https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/maternal_child_family_health_services/MCFHSstatistics.html to view MCFHS perinatal health indicators, including: Live Births Teen Births Early Prenatal Care Preterm Birth Low Birth Weight Fetal Mortality Infant Mortality Maternal Deaths

Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population. Blank Cells: Events less than 11 are suppressed. Starting with data year 2022, geographies with less than 20,000 population contain no age-adjusted rates and all rates based on events <20 are suppressed due to statistical instability. Rates not calculated in cases where zip code is unknown. SES: Is the median household income by Subregional Area (SRA) community. Data for SRA only.

Data sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System (VRBIS), 2022. California Department of Health Care Access and Information (HCAI), Emergency Department Discharge Database and Patient Discharge Database, 2022. SANDAG Population Estimates, 2022 (v11/23). 2022 population estimates were derived from the 2020 decennial census. Comparison of rates to prior years may not be appropriate. Prepared by: County of San Diego, Health and Human Services Agency, Public Health Services, Community Health Statistics Unit, May 2024.

2022 Community Profile Data Guide and Data Dictionary Dashboard: https://public.tableau.com/app/profile/chsu/viz/2022COREDataGuideandDataDictionary/Home

Bahamas BS: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 76.000 Ratio in 2023. This records a decrease from the previous number of 80.000 Ratio for 2022. Bahamas BS: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 70.000 Ratio from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 174.000 Ratio in 2021 and a record low of 46.000 Ratio in 2002. Bahamas BS: 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 Bahamas – Table BS.World Bank.WDI: Social: 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 UNDESA/Population Division. Trends in maternal mortality estimates 2000 to 2023. Geneva, World Health Organization, 2025;Weighted average;This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator (3.1.1) for monitoring maternal health.

Maternal mortality is widely considered an indicator of overall population health and the status of women in the population. DOHMH uses multiple methods including death certificates, vital records linkage, medical examiner records, and hospital discharge data to identify all pregnancy-associated deaths (deaths that occur during pregnancy or within a year of the end of pregnancy) of New York state residents in NYC each year. DOHMH convenes the Maternal Mortality and Morbidity Review Committee (M3RC), a multidisciplinary and diverse group of 40 members that conducts an in-depth, expert review of each pregnancy-associated death of New York state residents occurring in NYC from both clinical and social determinants of health perspectives. The data in this table come from vital records and the M3RC review process. Data are not cross-classified on all variables: cause of death data are available by the relation to pregnancy (pregnancy-related, pregnancy-associated but not related, unable to determine), race/ethnicity and borough of residence data are each separately available for the total number of pregnancy-associated deaths and pregnancy-related deaths only.

This layer contains population counts and 10 indicators of global population and maternal health by country. Layer is rendered to show the percent of married women ages 15-49 using any contraception. Data is from Population Reference Bureau's 2017 World Population Data Sheet or from their DataFinder site. Fields included are:Population, mid-2017 (reported in millions)Percent of Population Ages <15Percent of Population Ages 65+Male Life Expectancy at BirthFemale Life Expectancy at BirthTotal Fertility Rate: Children per WomanInfant Mortality Rate: Infant Deaths per 1,000 BirthsMaternal Mortality Rate: Maternal Deaths per 100,000 Births (from DataFinder, data from 2013)% Births Attended by Skilled Health Personnel (from DataFinder, year of most recent data available is different for each country, oldest is 2011)% Married Women Ages 15-49 Using Modern Contraception*% Married Women Ages 15-49 Using Any Contraception**Null values indicate that data is not available.*Modern methods include anything that requires supplies or trips to a clinic: condom, pill, injection, IUD, sterilization, etc.**Any method includes modern methods as well as abstinence, fertility awareness/cycle beads, withdrawal, and any other methods that do not require supplies or clinics.For detailed definitions, sources, and footnotes, see page 20 of PRB's 2017 World Population Data Sheet and PRB's DataFinder site.

CR: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 24.000 Ratio in 2023. This records a decrease from the previous number of 27.000 Ratio for 2022. CR: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 34.000 Ratio from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 44.000 Ratio in 2021 and a record low of 24.000 Ratio in 2023. CR: 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 Costa Rica – Table CR.World Bank.WDI: Social: 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 UNDESA/Population Division. Trends in maternal mortality estimates 2000 to 2023. Geneva, World Health Organization, 2025;Weighted average;This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator (3.1.1) for monitoring maternal health.

This dataset was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the Georgia Department of Public Health to show births classified by baby health and mother type by various geographies across the state of Georgia 2015-2019.Note that summaries by regional commission include Forsyth County and ARC modeling area include Dawson County.VariableDescriptionLongTypeESTMOESourceTableTable2YearsReleaseCategoryTopicUniverseNotesLogRecNoLogical record number (Unique ID to link across tables)Logical record numberN/AN/AN/AN/AN/AN/AN/AN/AN/AThis field can be used to link across tables within the same year's data.SumLevelSummary level of geographic unitSummary level of geographic unitN/AN/AN/AN/AN/AN/AN/AN/AN/AType of geographic unit, e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc.GEOIDGeographic ID for geographic unitGeographic ID for geographic unitN/AN/AN/AN/AN/AN/AN/AN/AN/AFIPS Code for most (e.g., state, county, tracts, cities...); custom codes (e.g., NPUA, NPUB) for other geographiesNAMEName of geographic unitName of geographic unitN/AN/AN/AN/AN/AN/AN/AN/AN/ABirths_19Births# Births, 2015-19CountGeorgia Department of Public Health, OHIP (OASIS)2015-19HealthBirths and Maternal HealthTotal birthsData represent totals over 5 year periodLowBwBirths_19Low birthweight births (less than 2500 grams)# Low birthweight births (less than 2500 grams), 2015-19CountGeorgia Department of Public Health, OHIP (OASIS)2015-19HealthBirths and Maternal HealthTotal birthsData represent totals over 5 year periodPremBirths_19Premature births (less than 37 weeks)# Premature births (less than 37 weeks), 2015-19CountGeorgia Department of Public Health, OHIP (OASIS)2015-19HealthBirths and Maternal HealthTotal birthsData represent totals over 5 year periodLtHSBirths_19Births to mothers with less than 12yrs education# Births to mothers with less than 12yrs education, 2015-19CountGeorgia Department of Public Health, OHIP (OASIS)2015-19HealthBirths and Maternal HealthTotal birthsData represent totals over 5 year periodTeenBirths_19Births to teens ages 15-19# Births to teens ages 15-19, 2015-19CountGeorgia Department of Public Health, OHIP (OASIS)2015-19HealthBirths and Maternal HealthTotal birthsData represent totals over 5 year periodpLtHSBirths_19Births to mothers with less than 12yrs education% Births to mothers with less than 12yrs education, 2015-19PercentGeorgia Department of Public Health, OHIP (OASIS)2015-19HealthBirths and Maternal HealthTotal birthsData represent totals over 5 year periodpLowBwBirths_19Low birthweight births (less than 2500 grams)% Low birthweight births (less than 2500 grams), 2015-19PercentGeorgia Department of Public Health, OHIP (OASIS)2015-19HealthBirths and Maternal HealthTotal birthsData represent totals over 5 year periodpPremBirths_19Premature births (less than 37 weeks)% Premature births (less than 37 weeks), 2015-19PercentGeorgia Department of Public Health, OHIP (OASIS)2015-19HealthBirths and Maternal HealthTotal birthsData represent totals over 5 year periodpTeenBirths_19Births to teens ages 15-19% Births to teens ages 15-19, 2015-19PercentGeorgia Department of Public Health, OHIP (OASIS)2015-19HealthBirths and Maternal HealthTotal birthsData represent totals over 5 year periodPopAgesU20_e19Population ages 0-19, 2019# Population ages 0-19, 2019CountEstimateACSB0100120195HealthAsthmaPopulation ages 0-19Asthma_19Asthma ER visits, ages 0-19# Asthma ER visits, ages 0-19, 2015-19CountGeorgia Department of Public Health, OHIP (OASIS)2015-19HealthAsthmaPopulation ages 0-19Data represent totals over 5 year periodaAsthma_19Average Asthma ER visits per year, ages 0-19Average # Asthma ER visits per year, ages 0-19, 2015-19AverageGeorgia Department of Public Health, OHIP (OASIS)2015-19HealthAsthmaPopulation ages 0-19rAsthma_19Asthma ER visits per 100,000 population per year, ages 0-19Rate, asthma ER visits per 100,000 population per year, ages 0-19, 2015-19RateACS, Georgia Department of Public Health, OHIP (OASIS)B010012015-19HealthAsthmaPopulation ages 0-19ACS used for denominator">0