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2026 Health of Women and Children Report

Health Outcomes

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Executive BriefForewordIntroductionNational SnapshotFindingsHealth OutcomesSocial and Economic FactorsClinical CareBehaviorsState RankingsAppendixMeasures Table - WomenMeasures Table - ChildrenData Source DescriptionsMethodologyReferencesState SummariesUS SummaryAlabamaAlaskaArizonaArkansasCaliforniaColoradoConnecticutDelawareDistrict of ColumbiaFloridaGeorgiaHawaiiIdahoIllinoisIndianaIowaKansasKentuckyLouisianaMaineMarylandMassachusettsMichiganMinnesotaMississippiMissouriMontanaNebraskaNevadaNew HampshireNew JerseyNew MexicoNew YorkNorth CarolinaNorth DakotaOhioOklahomaOregonPennsylvaniaRhode IslandSouth CarolinaSouth DakotaTennesseeTexasUtahVermontVirginiaWashingtonWest VirginiaWisconsinWyoming
2026 Health of Women and Children Report2026 Health of Women and Children Report – Executive Brief2026 Health of Women and Children Report – State Summaries2026 Health of Women and Children Report – Concentrated Disadvantage County-Level Maps2026 Health of Women and Children Report – Measures Table2026 Health of Women and Children Report – Infographics2026 Health of Women and Children Report – Report Data (All States)
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Behavioral Health

Drug Deaths Among Women

Drug overdose deaths in the United States decreased
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between 2022 and 2024, after two decades of near-continuous increases.2 According to America’s Health Rankings analysis of CDC data, unintentional drug poisonings have remained the leading cause of injury deaths
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among women of reproductive age for the past decade.3
Changes over the last decade. Nationally, the drug death rate — the number of deaths due to drug injury (unintentional, suicide, homicide or undetermined) per 100,000 women ages 20-44 — increased 50% from 16.7 to 25.0 between 2014-2016 and 2022-2024. However, for the first time in a decade, the rate decreased 3% (from 25.7 deaths per 100,000 women ages 20-44) between 2019-2021 and 2022-2024. Despite this decrease, the rate remains above the Healthy People 2030 target of 20.7 drug overdose deaths per 100,000 population
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.4 Reducing drug overdose deaths is a Healthy People 2030 Leading Health Indicator
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.5 In 2022-2024, 41,700 women ages 20-44 in the U.S. died from a drug overdose, an increase of 15,000 deaths compared with 2014-2016. 
Graphic representation of Drug Deaths Among Women information contained on this page. 50% increase over the past decade, from 16.7 to 25.0, with improvements in the most recent time period. Download the full report PDF from the report Overview page for details.
In the decade between 2014-2016 and 2022-2024, the drug death rate significantly decreased 26% in Utah (23.9 to 17.7 deaths per 100,000 women ages 20-44) and increased in 38 states and the District of Columbia. The largest increases were 360% in the District of Columbia (4.3 to 19.8), 185% in North Dakota (9.2 to 26.2), 170% in Alaska (19.6 to 53.0) and 132% in Oregon (11.4 to 26.5).
In the period between 2018-2020 and 2022-2024, the drug death rate significantly increased 75% among American Indian/Alaska Native (42.9 to 74.9 deaths per 100,000 women ages 20-44), 57% among Black (19.2 to 30.2), 40% among Hispanic (9.2 to 12.9), 36% among multiracial (15.2 to 20.7) and 26% among Asian (2.7 to 3.4) women but remained stable among white women (30.7 to 30.9).
Recent differences. The drug death rate varied by race/ethnicity, geography and age. In 2022-2024, the rate was:
  • 22.0 times higher among American Indian/Alaska Native (74.9 deaths per 100,000 women ages 20-44) compared with Asian (3.4) women.
  • 7.4 times higher in West Virginia (75.2) than in Nebraska (10.2).
  • 2.7 times higher among women ages 35-44 (32.7) compared with women ages 20-24 (11.9).

Frequent Mental Distress Among Women

Although occasional short periods of mental distress and a few bad mental health days may be unavoidable, more prolonged and severe episodes are treatable and potentially preventable
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through early intervention.6
Changes over the last decade. Nationally, the prevalence of frequent mental distress — the percentage of women ages 18-44 who reported their mental health was not good 14 or more days in the past 30 days — increased 62% from 14.3% to 23.2% between 2013-2014 and 2023-2024. In 2023-2024, 13.3 million women ages 18-44 experienced frequent mental distress, an increase of 5.2 million women compared with 2013-2014. 
In the decade between 2013-2014 and 2023-2024, frequent mental distress among women ages 18-44 significantly increased:
  • 154% among women with an annual household income of $50,000 to $74,999 (9.7% to 24.6%), 90% among women with an income of $25,000 to $49,999 (14.0% to 26.6%) and 26% among women with an income less than $25,000 (22.5% to 28.3%).
  • 109% among college graduates (7.7% to 16.1%), 65% among women with some post-high school education (16.1% to 26.6%) and 57% among high school graduates (16.6% to 26.1%).
  • 83% among women ages 18-24 (15.1% to 27.7%), 64% among women ages 25-34 (14.3% to 23.4%) and 43% among women ages 35-44 (13.8% to 19.8%).
  • 72% among white (15.3% to 26.3%) and 50% among Hispanic (12.5% to 18.7%) women.
During the same time period, the prevalence of frequent mental distress significantly increased in 49 states and the District of Columbia. The largest increases were 146% in North Dakota (9.4% to 23.1%), 145% in Montana (12.1% to 29.7%) and 117% in Nevada (13.2% to 28.6%).
Graphic representation of Frequent Mental Distress Among Women By Educational Attainment information contained on this page. Download the full report PDF from the report Overview page for details.
Recent differences. The prevalence of frequent mental distress significantly varied by disability status, income, race/ethnicity, sexual orientation, geography, educational attainment, age, veteran status and metropolitan status. In 2023-2024, the prevalence among women ages 18-44 was:
  • 4.2 times higher among women who have independent living difficulty (62.0%) compared with women without a disability (14.8%).
  • 2.3 times higher among multiracial (32.4%) compared with Asian (14.4%) women.
  • 2.2 times higher among women with an annual household income less than $25,000 (28.3%) compared with women who have an income of $150,000 or more (12.6%).
  • 2.1 times higher among lesbian, gay, bisexual or otherwise nonheterosexual (LGBQ+) women (40.7%) compared with straight women (19.7%).
  • 1.9 times and 1.8 times higher in Maine (31.2%) than in the District of Columbia (16.2%) and Hawaii (17.8%), respectively.
  • 1.7 times higher among women with some post-high school education (26.6%) compared with college graduates (16.1%).
  • 1.4 times higher among women ages 18-24 (27.7%) than women ages 35-44 (19.8%).
  • 1.2 times higher among women who have served in the U.S. armed forces (28.5%) than women who have not served (23.1%).
  • 1.1 times higher among women living in nonmetropolitan areas (26.3%) compared with women in metropolitan areas (22.9%).
Note: No data were available for Tennessee in 2024 or for Kentucky and Pennsylvania in 2023. Differences highlight the groups with the highest and lowest values. However, the values for certain disability, income, race/ethnicity and educational attainment groups may not differ significantly based on overlapping 95% confidence intervals. For more information, view frequent mental distress data for women.

Related Measures: 

Depression Among Women

Nationally, the prevalence of depression — the percentage of women ages 18-44 who reported being told by a health professional that they had a depressive disorder, including depression, major depression, minor depression or dysthymia — increased 23% from 24.8% to 30.6% between 2017-2018 and 2023-2024. In the more recent period between 2021-2022 and 2023-2024, the prevalence of depression increased 5% (from 29.1%). In 2023-2024, 17.7 million women ages 18-44 reported having depression.
Between 2017-2018 and 2023-2024, the prevalence of depression among women ages 18-44 significantly increased in 32 states and the District of Columbia. The largest increases were 51% in Texas (20.0% to 30.1%), 49% in Nevada (18.1% to 26.9%) and 41% in Colorado (24.1% to 34.0%). In 2023-2024, the prevalence among women ages 18-44 was 2.4 times higher in West Virginia (47.4%) than in New Jersey (19.4%). The prevalence of depression also significantly varied by disability status, race/ethnicity, sexual orientation, education, income, age, metropolitan status and veteran status. For more information, view depression data for women.

Postpartum Anxiety and Depression

In 2023, 11.9% of women with a recent live birth (more than 318,000 women) reported experiencing depression symptoms, or postpartum depression. During the same year, 20.3% of women with a recent live birth (more than 544,000 women) reported experiencing anxiety symptoms, or postpartum anxiety.
Note: No depression data were available for Tennessee in 2024 or for Kentucky and Pennsylvania in 2023. No postpartum anxiety or postpartum depression data were available for California, Idaho, North Carolina or Ohio in 2023.

Flourishing Among Children

Flourishing
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measures how well children are thriving within their family and community.7 It represents socialization, curiosity, resilience and self-regulation. 
Changes over time. Nationally, flourishing — the percentage of children ages 6 months to 5 years who show affection, resilience, interest and curiosity in learning, as well as smile and laugh a lot; and children ages 6-17 who show self-regulation, interest and curiosity in learning, as well as work to finish tasks — decreased 28% from 92.8% to 66.7% between 2016-2017 and 2023-2024. In 2023-2024, 46.6 million children were flourishing, nearly 20 million fewer than in 2016-2017.
Between 2016-2017 and 2023-2024, flourishing significantly decreased:
  • 47% among children with special health care needs (81.0% to 43.2%) and 22% among those without special health care needs (96.8% to 75.7%).
  • 33% among children ages 6-17 (91.4% to 61.5%) and 17% among those ages 6 months to 5 years (96.1% to 79.7%).
  • 33% among Hawaiian/Pacific Islander (91.3% to 61.3%), 32% among multiracial (94.2% to 64.2%), 29% among American Indian/Alaska Native (91.5% to 65.1%), 29% among Black (90.0% to 64.0%), 28% among Hispanic (92.1% to 66.3%), 28% among white (93.7% to 67.5%) and 22% among Asian (94.5% to 73.3%) children.
  • 31% among children whose caregivers have less than a high school education (88.8% to 61.1%), 30% among those with a caregiver who graduated from high school (90.1% to 63.2%), 30% among those with a caregiver who has some post-high school education (91.8% to 64.4%) and 27% among those with a caregiver who graduated from college (95.2% to 69.7%).
  • 30% among boys (91.8% to 64.5%) and 26% among girls (93.9% to 69.1%).
During the same time period, flourishing significantly decreased in all states and the District of Columbia. The largest decreases were 33% in Maine (94.0% to 62.9%), Oregon (92.7% to 62.0%) and South Dakota (94.0% to 62.9%).
Graphic representation of Flourishing Among Children By Age information contained on this page. Download the full report PDF from the report Overview page for details.
Recent differences. In 2023-2024, flourishing was:
  • 1.8 times higher among children without special health care needs (75.7%) than those with special health care needs (43.2%).
  • 1.3 times higher among children ages 6 months to 5 years (79.7%) than those ages 6-17 (61.5%).
  • 1.1 times higher in Nebraska (70.1%) than in Oregon (62.0%); among girls (69.1%) than boys (64.5%); among Asian (73.3%) than Black (64.0%) children; and among children with a caregiver who graduated from college (69.7%) compared with those whose caregivers have less than a high school education (61.1%).
Note: Differences highlight the groups with the highest and lowest values. However, the values for certain race/ethnicity and educational attainment groups may not differ significantly based on overlapping 95% confidence intervals. For more information, view flourishing data.

Mental Health Conditions Among Children

Mental health is an essential component of overall health
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and well-being.8 Early diagnosis
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of mental health conditions among children is important for preventing problems at home, in school or in forming friendships.9 Common mental health conditions
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among children include anxiety, depression and behavioral disorders.9
Changes over time. Nationally, the prevalence of mental health conditions — the percentage of children ages 3-17 with a diagnosed mental health condition — increased 32% from 15.5% to 20.5% between 2016-2017 and 2023-2024. This includes children who received diagnoses from a health care provider for attention-deficit/hyperactivity disorder (ADHD), depression or anxiety problems, as well as those who were told by a doctor or educator that they had behavior or conduct problems. There were increases in the prevalence of ADHD (28%, from 8.7% to 11.1%), anxiety (62%, from 6.9% to 11.2%) and depression (40%, from 3.0% to 4.2%). The prevalence of behavioral problems (7.7%) did not significantly change. In 2023-2024, nearly 12.4 million children were diagnosed with a mental health condition, an increase of 3 million children compared with 2016-2017.
Graphic representation of Mental Health Conditions Among Children By Diagnosed Condition information contained on this page. Download the full report PDF from the report Overview page for details.
Between 2016-2017 and 2023-2024, the prevalence of mental health conditions among children ages 3-17 significantly increased:
  • 52% among girls (12.4% to 18.9%) and 20% among boys (18.4% to 22.0%).
  • 43% among children with a caregiver who graduated from college (14.2% to 20.3%), 40% among children with a caregiver who has some post-high school education (16.5% to 23.1%) and 23% among children with a caregiver who graduated from high school (16.8% to 20.7%).
  • 40% among white (17.3% to 24.2%), 34% among Hispanic (12.2% to 16.3%) and 26% among multiracial (17.2% to 21.6%) children.
  • 38% among children without special health care needs (3.9% to 5.4%) and 18% among children with special health care needs (47.1% to 55.6%).
During the same time period, the prevalence of mental health conditions significantly increased in 18 states. The largest increases were 71% in New York (11.5% to 19.7%), 63% in Oregon (16.0% to 26.0%) and 61% in South Dakota (13.0% to 20.9%).
Recent differences. The prevalence of mental health conditions significantly varied by special health care needs status, race/ethnicity, geography, caregiver educational attainment and gender. In 2023-2024, the prevalence among children ages 3-17 was:
  • 10.3 times higher among children with special health care needs (55.6%) compared with children without special health care needs (5.4%).
  • 3.5 times higher among American Indian/Alaska Native (28.7%) compared with Asian (8.1%) children.
  • 2.2 times higher in Maine (28.5%) than in Hawaii (13.1%).
  • 1.5 times higher among children whose caregivers have some post-high school education (23.1%) compared with children whose caregivers have less than a high school education (15.9%).
  • 1.2 times higher among boys (22.0%) compared with girls (18.9%).
Note: Differences highlight the groups with the highest and lowest values. However, the values for certain race/ethnicity groups may not differ significantly based on overlapping 95% confidence intervals. For more information, view mental health conditions data for children.
Related Measure: Teen Suicide
Nationally, the teen suicide rate — the number of deaths due to intentional self-harm per 100,000 adolescents ages 15-19 — increased 15% from 8.4 to 9.7 in the 10 years between 2012-2014 and 2022-2024. However, the teen suicide rate improved 8% in 2022-2024 (down from 10.6 in 2019-2021).
In the decade between 2012-2014 and 2022-2024, the teen suicide rate significantly increased in three states: 62% in Georgia (6.8 to 11.0 deaths per 100,000 adolescents ages 15-19), 41% in Ohio (7.4 to 10.4) and 30% in Texas (8.7 to 11.3). In 2022-2024, the rate was 6.5 times higher in Alaska (29.7) than in Massachusetts (4.6). The teen suicide rate also significantly varied by race/ethnicity and gender. For more information, view teen suicide data.

Headshot graphic, Michael Warren, MD, MPH, FAAP, Chief Medical and Health Officer, March of Dimes
"Improving maternal and infant health requires both ensuring women can access high-quality clinical care when they need it and strengthening the supports that shape health beyond the clinic or hospital."

– Michael Warren, MD, MPH, FAAP, Chief Medical and Health Officer, March of Dimes
View related article: Data-Driven Collaboration Between Public Health Leaders and Clinicians Can Support Moms and Babies

Mortality

Maternal Mortality

The majority of maternal deaths resulting from pregnancy-related complications are preventable
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.10 Despite this, the U.S. consistently has the highest rate
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of maternal mortality among high-income countries.11 The leading causes of pregnancy-related deaths
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in the U.S. in 2024 according to death records were cardiovascular conditions, other noncardiovascular medical conditions (endocrine, hematologic, immunologic and renal), and infection or sepsis.12 Maternal Mortality Review Committees, which have access to clinical and nonclinical data, have identified mental health conditions
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as a leading cause of pregnancy-related deaths.13  
Changes over the last decade. Nationally, the maternal mortality rate increased 34% between 2014-2018 and 2020-2024, from 17.3 to 23.1 deaths related to or aggravated by pregnancy (excluding accidental or incidental causes) occurring within 42 days of the end of a pregnancy per 100,000 live births. This rate exceeds the Healthy People 2030 target of 15.7 maternal deaths per 100,000 live births
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.14 Reducing maternal deaths is a Healthy People 2030 Leading Health Indicator
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.5 In 2020-2024, approximately 4,200 women died of pregnancy-related causes, an increase of nearly 820 maternal deaths compared with 2014-2018.
In the decade between 2014-2018 and 2020-2024, the maternal mortality rate significantly increased in eight states. The largest increases were 145% in Mississippi (15.3 to 37.5 deaths per 100,000 live births), 93% in California (5.6 to 10.8) and 89% in Virginia (17.1 to 32.4).
Graphic representation of Significant Increases in Maternal Mortality By State Between 2014-2018 and 2020-2024 information contained on this page. Download the full report PDF from the report Overview page for details.
Recent differences. The maternal mortality rate varied significantly by race/ethnicity, geography, age, educational attainment and metropolitan status in 2020-2024. The rate was:
  • 4.1 times higher among American Indian/Alaska Native (58.9 deaths per 100,000 live births) compared with Asian and multiracial (both 14.3) women.
  • 3.9 times higher in Tennessee (41.8) than in California (10.8).
  • 3.0 times higher among women age 35 and older (44.2) than women ages 20-24 (14.6).
  • 2.8 times higher among women who graduated from high school (35.3) compared with college graduates (12.5).
  • 1.4 times higher among women living in nonmetropolitan areas (30.4) compared with women in large metropolitan areas (21.1).
Note: Differences highlight the groups with the highest and lowest values. However, the values for certain race/ethnicity, age, educational attainment and metropolitan status groups may not differ significantly based on overlapping 95% confidence intervals. For more information, view maternal mortality data.

Infant Mortality

The U.S. has a consistently and considerably higher infant mortality rate
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than other developed countries.15 In 2024, the leading causes of infant death
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in the U.S. were congenital abnormalities, low birth weight and sudden infant death syndrome (SIDS).16  
Changes over the last decade. Nationally, the infant mortality rate improved 7% between 2012-2013 and 2022-2023, from 6.0 to 5.6 infant deaths per 1,000 live births, approaching the Healthy People 2030 target to reduce the rate of infant deaths to 5.0 per 1,000 live births
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.17 Reducing the rate of infant deaths is a Healthy People 2030 Leading Health Indicator
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.5 Nearly 41,000 infants died in the U.S. during 2022-2023, a decrease of nearly 6,400 deaths compared with 2012-2013.
In the decade between 2012-2013 and 2022-2023, the infant mortality rate decreased 13% among infants born to mothers ages 40-44 (7.6 to 6.6 deaths per 1,000 live births), 7% among infants born to mothers ages 35-39 (5.4 to 5.0), 6% among infants born to mothers ages 30-34 (4.9 to 4.6) and 4% among infants born to mothers ages 25-29 (5.5 to 5.3). However, it also increased 20% among infants born to mothers ages 15-19 (8.5 to 10.2) and 3% among infants born to mothers ages 20-24 (7.0 to 7.2).
Graphic representation of Infant Mortality By Mother's Age information contained on this page. Download the full report PDF from the report Overview page for details.
Between 2017-2018 and 2022-2023, the infant mortality rate significantly decreased:
  • 6% among infants born to multiracial (6.9 to 6.5), 5% among infants born to Asian (3.7 to 3.5) and 4% among infants born to white (4.7 to 4.5) mothers.
  • 3% among male (6.3 to 6.1) and 2% among female (5.2 to 5.1) infants.
Between 2017-2018 and 2022-2023, the infant mortality rate significantly increased 5% among infants born to American Indian/Alaska Native mothers (8.7 to 9.1). 
In the decade between 2012-2013 and 2022-2023, the infant mortality rate decreased 7% or more in 23 states and the District of Columbia, while increasing in five states. The largest decreases were 35% in New Hampshire (4.9 to 3.2 deaths per 1,000 live births), 34% in Rhode Island (6.5 to 4.3) and 26% in North Dakota (6.2 to 4.6). The largest increases were 28% in Alaska (5.4 to 6.9), 24% in Nebraska (4.9 to 6.1) and 8% in Iowa (4.8 to 5.2).
Recent differences. The infant mortality rate significantly varied by mother’s race/ethnicity, geography, mother’s age and infant gender. In 2022-2023, the rate was: 
  • 3.1 times higher among infants born to Black (10.9 deaths per 1,000 live births) compared with Asian (3.5) mothers.
  • 2.8 times higher in Mississippi (9.0) than in New Hampshire (3.2).
  • 2.2 times higher among infants born to mothers ages 15-19 (10.2) compared with those born to mothers ages 30-34 (4.6).
  • 1.2 times higher among male (6.1) compared with female (5.1) infants.

Physical Health

Severe Maternal Morbidity

Graphic representation of Severe Maternal Morbidity information contained on this page. 36% increase from 72.1 to 97.8 complications per 10,000 delivery hospitalizations between 2016 and 2023. Download the full report PDF from the report Overview page for details.
Severe maternal morbidity encompasses unanticipated labor and delivery outcomes
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and results in short- or long-term health effects.18 Tracking severe maternal morbidity is important for monitoring population-level maternal health
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, understanding the root causes of perinatal complications and ultimately preventing maternal mortality.19  
Changes over time. Nationally, the severe maternal morbidity rate increased 36% between 2016 and 2023, from 72.1 to 97.8 significant life-threatening maternal complications during delivery per 10,000 delivery hospitalizations. The current rate is much higher than the Healthy People 2030 target of 64.4 hospital discharges per 10,000 delivery hospitalizations
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.20 In 2023, nearly 28,300 women experienced severe maternal morbidity, approximately 2,000 more than in 2016.
Between 2016 and 2023, severe maternal morbidity significantly increased in 29 states and the District of Columbia. The largest increases were 105% in both Maine (52.9 to 108.6 complications per 10,000 delivery hospitalizations) and Delaware (63.1 to 129.3), 99% in the District of Columbia (88.4 to 176.1) and 97% in Minnesota (61.6 to 121.2).
In the period between 2019 and 2023, severe maternal morbidity significantly increased:
  • 30% among Asian/Pacific Islander (88.5 to 115.4), 23% among Black (126.1 to 155.5), 22% among white (66.2 to 81.0), 20% among other race (90.7 to 108.8) and 14% among Hispanic (82.2 to 94.0) women.
  • 25% among women living in the most wealthy ZIP code quartile (75.1 to 94.1), 22% among women living in the second most wealthy ZIP code quartile (77.0 to 93.7), 20% among women living in the least wealthy ZIP code quartile (89.6 to 107.7) and 17% among women living in the second least wealthy ZIP code quartile (80.0 to 93.8).
  • 23% among women living in large metropolitan areas (87.0 to 106.7), 22% among women in small-to-medium metropolitan areas (73.1 to 89.3) and 14% among women in nonmetropolitan areas (71.3 to 81.3).
  • 21% among women younger than 20 (77.8 to 94.3), 21% among women ages 30-34 (78.8 to 95.6), 19% among women ages 25-29 (68.6 to 81.6), 19% among women age 35 and older (119.5 to 142.5) and 17% among women ages 20-24 (65.7 to 77.0).
Recent differences. The rate of severe maternal morbidity significantly varied by geography, race/ethnicity, age, metropolitan status and median ZIP code income. The prevalence was:
  • 3.1 times higher in the District of Columbia (176.1 complications per 10,000 delivery hospitalizations) and 2.6 times higher in Alaska (147.2) than in Nebraska (56.8).
  • 1.9 times higher among Black (155.5) compared with white (81.0) women.
  • 1.9 times higher among women age 35 and older (142.5) compared with women ages 20-24 (77.0).
  • 1.3 times higher among women living in large metropolitan areas (106.7) than women in nonmetropolitan areas (81.3).
  • 1.1 times higher among women living in the least wealthy ZIP code quartile (107.7) compared with women in the second-wealthiest ZIP code quartile (93.7).
Note: Differences highlight the groups with the highest and lowest values. However, the values for certain income groups may not differ significantly based on overlapping 95% confidence intervals. For more information, view severe maternal morbidity data.

Low Birth Weight

Low birth weight infants are at increased risk of several short- and long-term complications
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.21 Low birth weight and preterm birth are leading causes of infant mortality
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.22
Changes over the last decade. Nationally, the prevalence of low birth weight — the percentage of infants weighing less than 2,500 grams (5 pounds, 8 ounces) at birth — increased 6% from 8.0% to 8.5% between 2014 and 2024. However, low birth weight decreased 1% in the most recent period between 2023 (8.6%) and 2024. In 2024, approximately 309,000 infants were born with low birth weight, nearly 10,000 fewer than in 2014.
In the decade between 2014 and 2024, low birth weight increased:
  • 17% among infants born to mothers ages 15-19 (9.3% to 10.9%), 7% among infants born to mothers ages 20-24 (8.3% to 8.9%), 7% among infants born to mothers ages 25-29 (7.4% to 7.9%), 7% among infants born to mothers ages 30-34 (7.5% to 8.0%) and 2% among infants born to mothers ages 35-39 (8.7% to 8.9%).
  • 11% among infants born to mothers who graduated from high school (8.9% to 9.9%), 11% among infants born to mothers with some post-high school education (8.1% to 9.0%), 9% among infants born to mothers with less than a high school education (9.2% to 10.0%) and 4% among infants born to mothers who graduated from college (6.8% to 7.1%).
During the same time period, low birth weight increased 6% or more in 29 states and the District of Columbia. The largest increases were 21% in Nebraska (6.6% to 8.0%), 17% in both Nevada (8.3% to 9.7%) and Alaska (5.9% to 6.9%), and 15% in both Oregon (6.2% to 7.1%) and North Dakota (6.2% to 7.1%).
Graphic representation of Low Birth Weight By Mother's Age information contained on this page. Download the full report PDF from the report Overview page for details.
Recent differences. Low birth weight significantly varied by race/ethnicity, geography, age and educational attainment. In 2024, it was:
  • 2.1 times higher among infants born to Black (15.0%) compared with white (7.0%) mothers.
  • 1.9 times higher in Mississippi (12.7%) than in New Hampshire (6.6%). 
  • 1.4 times higher among infants born to mothers ages 15-19 (10.9%) compared with mothers ages 25-29 (7.9%).
  • 1.4 times higher among infants born to mothers with less than a high school education (10.0%) compared with mothers who graduated from college (7.1%).
Note: Differences highlight the groups with the highest and lowest values. However, the values for certain age and educational attainment groups may not differ significantly based on overlapping 95% confidence intervals. For more information, view low birth weight data.

Related Measures: 

Low Birth Weight Racial Disparity

Nationally, the racial disparity in low birth weight — the ratio of the low birth weight rate of the racial/ethnic group with the highest rate to the non-Hispanic white rate — increased 5% from 2.0 (14.1% of Black infants versus 6.9% of white infants) to 2.1 (14.9% of Black infants versus 7.0% of white infants) between 2018-2020 and 2022-2024. 

Breastfed

Nationally, breastfeeding prevalence — the percentage of infants exclusively breastfed for six months — increased 27% from 21.9% to 27.9% between the 2012 and 2022 birth cohorts, remaining lower than the Healthy People 2030 target of 42.4% of infants
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.23 During the same period, breastfeeding significantly increased in seven states. The largest increases were 140% in Mississippi (10.0% to 24.0%), 136% in Alabama (11.2% to 26.4%) and 132% in Louisiana (11.8% to 27.4%). In the 2022 birth cohort, the percentage of infants exclusively breastfed for six months was 1.9 times higher in Nebraska (36.7%) than in Georgia (19.5%).

Cigarette Smoking During Pregnancy

Nationally, cigarette smoking during pregnancy decreased 71% from 8.4% to 2.4% of live births between 2014 and 2024. In 2024, almost 87,000 mothers reported smoking cigarettes during pregnancy — 228,000 fewer mothers than in 2014. 
During the same time period, the percentage of mothers who reported smoking cigarettes during pregnancy decreased 71% or more in 17 states and the District of Columbia. The largest decreases were 80% in Idaho (10.7% of live births to 2.1%) and 79% in both Massachusetts (6.2% to 1.3%) and Texas (3.9% to 0.8%). In 2024, the prevalence was 26.2 times higher in West Virginia (10.5%) than in California (0.4%) and 3.1 times higher among mothers in nonmetropolitan areas (5.8%) compared with mothers in metropolitan areas (1.9%).

Teen Births

Nationally, the teen birth rate decreased 48% from 24.2 to 12.6 births per 1,000 females ages 15-19 between 2014 and 2024, meeting the Healthy People 2030 target of 31.4 pregnancies per 1,000 females ages 15-19
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.24 During the same time period, the teen birth rate decreased 48% or more in 27 states. The largest decreases were 59% in California (21.1 to 8.7 births per 1,000 females ages 15-19) and 58% in Montana (26.4 to 11.1), New Hampshire (11.0 to 4.6) and Utah (19.4 to 8.2). In 2024, the teen birth rate was 5.0 times higher in Mississippi (22.8) than in New Hampshire (4.6). The rate was 13.3 times higher among Hispanic (20.0) than Asian (1.5) teenagers.

Neonatal Abstinence Syndrome

Newborns experiencing drug withdrawal
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may be diagnosed with neonatal abstinence syndrome (NAS), a condition most commonly caused by fetal exposure to maternal opioid use
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.25,26 Long-term impacts
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include developmental delays, growth problems and hearing and vision problems.27
Changes over time. Nationally, the rate of NAS decreased 25% between 2016 and 2023, from 6.8 to 5.1 birth hospitalizations with a diagnosis code of withdrawal symptoms due to prenatal exposure to illicit drugs per 1,000 birth hospitalizations. In 2023, there were approximately 14,800 NAS diagnoses in the U.S., about 10,000 fewer diagnoses than in 2016.
Between 2016 and 2023, the NAS hospitalization rate significantly decreased in 19 states. The largest decreases were 67% in Delaware (26.8 to 8.9 NAS diagnoses per 1,000 birth hospitalizations), 65% in Massachusetts (14.2 to 4.9) and 58% in Tennessee (18.0 to 7.6). During the same time period, the NAS hospitalization rate significantly increased in three states: 42% in Arizona (7.2 to 10.2), 30% in Oregon (6.3 to 8.2) and 29% in South Carolina (4.2 to 5.4).
Recent differences. The NAS hospitalization rate significantly varied by geography, race/ethnicity, median ZIP code income and metropolitan status in 2023. The rate was:
  • 16.9 times higher in West Virginia (25.3 NAS diagnoses per 1,000 birth hospitalizations) than in Nebraska (1.5).
  • 21.6 times higher among American Indian/Alaska Native (17.3) compared with Asian/Pacific Islander (0.8) infants.
  • 2.7 times higher among infants living in the least wealthy ZIP code quartile (7.1) compared with infants living in the wealthiest ZIP code quartile (2.6).
  • 1.7 times higher among infants living in nonmetropolitan areas (7.0) than infants in large metropolitan areas (4.1).
Graphic representation of Neonatal Abstinence Syndrome (NAS) By Metropolitan Status information contained on this page. Download the full report PDF from the report Overview page for details.
Note: No data were available for Alabama, California, Idaho, Nevada or Vermont in 2023, nor for Alabama, Idaho or New Hampshire in 2016.

Diabetes Among Women

Diabetes is a chronic health condition
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that disrupts the body's ability to use or make insulin and can lead to serious health problems like heart disease, vision loss and kidney disease.28 Diabetes was the seventh-leading cause of death
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among women ages 20-44 in 2023 and 2024.16
Changes over the last decade. Nationally, the prevalence of diabetes — the percentage of women ages 18-44 who reported being told by a health professional that they had diabetes — increased 16% from 3.1% to 3.6% between 2013-2014 and 2023-2024. In 2023-2024, nearly 2.1 million women ages 18-44 reported having diabetes, an increase of 336,100 women compared with 2013-2014.
Graphic representation of Diabetes Among Women information contained on this page. 16% increase from 3.1% to 3.6% between 2013-2014 and 2023-2024. Download the full report PDF from the report Overview page for details.
In the decade between 2013-2014 and 2023-2024, the prevalence of diabetes among women ages 18-44 significantly increased:
  • 71% among women with an annual household income of $50,000 to $74,999 (2.4% to 4.1%) and 51% among women with an income of $25,000 to $49,999 (3.7% to 5.6%).
  • 32% among college graduates (1.9% to 2.5%) and 28% among women with some post-high school education (4.0% to 5.1%).
Recent differences. The prevalence of diabetes significantly varied by disability status, income, geography, age, educational attainment, race/ethnicity and metropolitan status. In 2023-2024, the prevalence among women ages 18-44 was:
  • 5.0 times higher among women who have difficulty with mobility (13.4%) compared with women without a disability (2.7%).
  • 4.0 times higher among women with an annual household income less than $25,000 (6.8%) compared with women who have an income of $150,000 or more (1.7%).
  • 3.5 times and 2.8 times higher in West Virginia (6.7%) than in the District of Columbia (1.9%) and New Hampshire (2.4%), respectively.
  • 3.4 times higher among women ages 35-44 (5.7%) compared with women ages 18-24 (1.7%).
  • 2.4 times higher among women with less than a high school education (5.9%) compared with college graduates (2.5%).
  • 2.0 times higher among Black (5.3%) compared with Asian (2.7%) women.
  • 1.4 times higher among women living in nonmetropolitan areas (4.8%) compared with women in metropolitan areas (3.4%).
Note: No data were available for Tennessee in 2024 or for Kentucky and Pennsylvania in 2023. Differences highlight the groups with the highest and lowest values. However, the values for certain disability, income, educational attainment and race/ethnicity groups may not differ significantly based on overlapping 95% confidence intervals. For more information, view diabetes data for women.

High Health Status Among Women

Self-reported health status measures how individuals perceive
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their health.29 Those with “poor” self-reported health status have a higher mortality risk
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than those with “excellent” self-reported health status.30  
Changes over the last decade. Nationally, high health status — the percentage of women ages 18-44 who reported their health is very good or excellent — decreased 12% from 56.0% to 49.4% between 2013-2014 and 2023-2024. Notably, 10% of this decline occurred recently, between 2021-2022 and 2023-2024. In 2023-2024, 28.7 million women reported having high health status, 2.9 million fewer women than in 2013-2014. 
Between 2013-2014 and 2023-2024, high health status among women ages 18-44 significantly decreased:
  • 28% among women with an annual household income of $25,000 to $49,999 (54.6% to 39.5%), 23% among women with an income of $50,000 to $74,999 (65.9% to 50.8%) and 14% among women with an income less than $25,000 (34.4% to 29.5%).
  • 16% among both college graduates (73.7% to 62.2%) and women with some post-high school education (54.7% to 45.9%) and 12% among high school graduates (45.7% to 40.4%).
  • 13% among women ages 18-24 (59.4% to 51.4%), 11% among women ages 25-34 (55.8% to 49.6%) and 10% among women ages 35-44 (53.5% to 48.0%).
  • 13% among white women (63.3% to 55.2%).
During the same time, high health status significantly decreased in 35 states. The largest decreases were 23% in Iowa (62.7% to 48.3%), 22% in Oregon (59.6% to 46.5%) and 20% in Pennsylvania (59.8% to 48.1%).
Graphic representation of High Health Status Among Women By Educational Attainment information contained on this page. Download the full report PDF from the report Overview page for details.
Recent differences. In 2023-2024, high health status among women ages 18-44 was:
  • 5.9 times higher among women without a disability (56.5%) than women who have difficulty with self-care (9.6%).
  • 2.5 times higher among college graduates (62.2%) than women with less than a high school education (24.4%).
  • 2.4 times higher among women with an annual household income of $150,000 or more (69.8%) than women with an income less than $25,000 (29.5%).
  • 1.5 times higher in the District of Columbia (65.7%), and 1.3 times higher in Vermont (58.8%), than in West Virginia and Arkansas (both 44.6%).
  • 1.4 times higher among white (55.2%) and Asian (54.5%) than American Indian/Alaska Native (38.6%) women.
  • 1.3 times higher among straight women (51.8%) than LGBQ+ women (39.1%).
  • 1.1 times higher among women ages 18-24 (51.4%) than women ages 35-44 (48.0%); and among women who have served in the U.S. armed forces (54.7%) than women who have not served (49.2%).
Note: No data were available for Tennessee in 2024 or for Kentucky and Pennsylvania in 2023. Differences highlight the groups with the highest and lowest values. However, the values for certain disability, race/ethnicity and age groups may not differ significantly based on overlapping 95% confidence intervals. For more information, view high health status data for women.

Obesity Among Women

Obesity is a complex health condition
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with biological, economic, environmental, individual and societal causes.31 Women with obesity are at an increased risk of developing serious health conditions
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.32
Changes over the last decade. Nationally, obesity — the percentage of women ages 18-44 who have a body mass index (BMI) of 30.0 or higher based on reported height and weight — increased 26% from 25.9% to 32.6% between 2013-2014 and 2023-2024. In 2023-2024, 16 million women ages 18-44 had obesity, nearly 3.2 million more women than in 2013-2014.
Between 2013-2014 and 2023-2024, obesity among women ages 18-44 significantly increased:
  • 53% among women with an annual household income of $50,000 to $74,999 (26.5% to 40.6%), 30% among women with an income of $25,000 to $49,999 (33.8% to 44.1%) and 13% among women with an income less than $25,000 (39.5% to 44.8%).
  • 51% among Asian (8.0% to 12.1%), 35% among white (23.3% to 31.5%), 20% among Hispanic (29.1% to 34.8%) and 14% among Black (39.5% to 45.2%) women.
  • 50% among college graduates (18.2% to 27.3%), 26% among women with some post-high school education (33.4% to 42.0%), 20% among high school graduates (36.2% to 43.4%) and 12% among women with less than a high school education (39.8% to 44.6%).
  • 37% among women ages 18-24 (16.0% to 21.9%), 28% among women ages 25-34 (27.7% to 35.4%) and 21% among women ages 35-44 (31.5% to 38.0%).
During the same time period, the prevalence of obesity significantly increased in 40 states. The largest increases were 45% in Minnesota (21.7% to 31.4%), 40% in Nebraska (25.8% to 36.1%), and 39% in both South Dakota (25.5% to 35.4%) and Alabama (31.0% to 43.1%).
Graphic representation of Obesity Among Women By Age information contained on this page. Download the full report PDF from the report Overview page for details.
Recent differences. In 2023-2024, obesity among women ages 18-44 was:
  • 3.7 times higher among Black (45.2%) than Asian (12.1%) women.
  • 2.1 times higher among both women with an annual household income less than $25,000 (44.8%) and women with an income of $25,000 to $49,999 (44.1%) than women with an income of $150,000 or more (21.2%).
  • 1.8 times higher in West Virginia (43.4%) than in the District of Columbia and Massachusetts (both 24.3%); and among women who have difficulty with mobility (53.3%) than women without a disability (30.3%).
  • 1.7 times higher among women ages 35-44 (38.0%) than women ages 18-24 (21.9%).
  • 1.6 times higher among both women with less than a high school education (44.6%) and high school graduates (43.4%) than college graduates (27.3%).
  • 1.3 times higher among women living in nonmetropolitan areas (39.8%) than women in metropolitan areas (31.5%).
  • 1.1 times higher among LGBQ+ (36.9%) than straight women (33.7%).
Note: No data were available for Tennessee in 2024 or for Kentucky and Pennsylvania in 2023. Differences highlight the groups with the highest and lowest values. However, the values for certain race/ethnicity, income, disability status and educational attainment groups may not differ significantly based on overlapping 95% confidence intervals. For more information, view obesity data for women.

Related Measures: 

Physical Inactivity Among Women

Nationally, the prevalence of physical inactivity — the percentage of women ages 18-44 who reported doing no physical activity or exercise other than their regular job in the past 30 days — remained unchanged over the last 10 years (22.5% in 2013-2014 to 22.0% in 2023-2024). In 2023-2024, 12.8 million women ages 18-44 reported being physically inactive.
In the decade between 2013-2014 and 2023-2024, the prevalence of physical inactivity among women ages 18-44 significantly decreased 34% in the District of Columbia (19.4% to 12.9%), 17% in Utah (16.9% to 14.0%) and 16% in Indiana (25.0% to 21.0%). In 2023-2024, the prevalence among women ages 18-44 was 2.4 times and 2.2 times higher in Mississippi (30.8%) than in the District of Columbia (12.9%) and Utah (14.0%). The prevalence of physical inactivity also significantly varied by income, education, disability status, race/ethnicity, veteran status, age and sexual orientation. For more information, view physical inactivity data for women.

Physical Activity Among Children

Nationally, the prevalence of physical activity — the percentage of children ages 6-17 who were physically active at least 60 minutes every day in the past week — decreased 14% from 23.0% to 19.7% between 2016-2017 and 2023-2024. In 2023-2024, 9.7 million children engaged in sufficient physical activity, a decrease of nearly 1.5 million children compared with 2016-2017. 
Between 2016-2017 and 2023-2024, the prevalence of physical activity among children ages 6-17 significantly decreased 49% in Nevada (25.3% to 12.9%), 31% in California (25.5% to 17.6%) and 30% in Oklahoma (28.9% to 20.1%). In 2023-2024, the prevalence was 2.1 times higher in Maine (26.6%) than in Nevada (12.9%). The prevalence of physical activity also significantly varied by race/ethnicity, gender, caregiver educational attainment and special health care needs status. For more information, view physical activity data for children.

Overweight or Obesity Among Children

Nationally, the prevalence of overweight or obesity — the percentage of children ages 6-17 who have overweight or obesity for their age based on reported height and weight — remained unchanged between 2016-2017 (32.3%) and 2023-2024 (31.3%). In 2023-2024, 14.7 million children were overweight or obese. 
In 2023-2024, the prevalence of overweight or obesity among children ages 6-17 was 1.8 times higher in Mississippi (41.8%) than in Colorado (23.1%). The prevalence of overweight or obesity also significantly varied by race/ethnicity, caregiver’s educational attainment, special health care needs status and gender. For more information, view overweight or obesity data for children.
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