Native Hawaiian and Pacific Islander women had the highest fertility rate of any ethnicity in the United States in 2022, with about 2,237.5 births per 1,000 women. The fertility rate for all ethnicities in the U.S. was 1,656.5 births per 1,000 women. What is the total fertility rate? The total fertility rate is an estimation of the number of children who would theoretically be born per 1,000 women through their childbearing years (generally considered to be between the ages of 15 and 44) according to age-specific fertility rates. The fertility rate is different from the birth rate, in that the birth rate is the number of births in relation to the population over a specific period of time. Fertility rates around the world Fertility rates around the world differ on a country-by-country basis, and more industrialized countries tend to see lower fertility rates. For example, Niger topped the list of the countries with the highest fertility rates, and Taiwan had the lowest fertility rate.

United States Total Fertility Rate: Black data was reported at 1,581.000 % in 2023. This records a decrease from the previous number of 1,639.000 % for 2022. United States Total Fertility Rate: Black data is updated yearly, averaging 2,062.000 % from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 2,480.000 % in 1990 and a record low of 1,581.000 % in 2023. United States Total Fertility Rate: Black data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G013: Fertility Rate.

In 2024, around 50 children were born per 1,000 white women in the United States. This birth rate was the same among the Black female population. The highest birth rate among various race and ethnic groups in the U.S. was recorded among Native Hawaiian and Pacific Islander mothers, at 58 births per 1,000.

The total fertility rate of the world has dropped from around 5 children per woman in 1950, to 2.2 children per woman in 2025, which means that women today are having fewer than half the number of children that women did 75 years ago. Replacement level fertility This change has come as a result of the global demographic transition, and is influenced by factors such as the significant reduction in infant and child mortality, reduced number of child marriages, increased educational and vocational opportunities for women, and the increased efficacy and availability of contraception. While this change has become synonymous with societal progress, it does have wide-reaching demographic impact - if the global average falls below replacement level (roughly 2.1 children per woman), as is expected to happen in the 2050s, then this will lead to long-term population decline on a global scale. Regional variations When broken down by continent, Africa is the only region with a fertility rate above the global average, and, alongside Oceania, it is the only region with a fertility rate above replacement level. Until the 1980s, the average woman in Africa could expect to have 6-7 children over the course of their lifetime, and there are still several countries in Africa where women can still expect to have 5 or more children in 2025. Historically, Europe has had the lowest fertility rates in the world over the past century, falling below replacement level in 1975. Europe's population has grown through a combination of migration and increasing life expectancy, however even high immigration rates could not prevent its population from going into decline in 2021.

The fertility rate of a country is the average number of children that women from that country will have throughout their reproductive years. In the United States in 1800, the average woman of childbearing age would have seven children over the course of their lifetime. As factors such as technology, hygiene, medicine and education improved, women were having fewer children than before, reaching just two children per woman in 1940. This changed quite dramatically in the aftermath of the Second World War, rising sharply to over 3.5 children per woman in 1960 (children born between 1946 and 1964 are nowadays known as the 'Baby Boomer' generation, and they make up roughly twenty percent of todays US population). Due to the end of the baby boom and increased access to contraception, fertility reached it's lowest point in the US in 1980, where it was just 1.77. It did however rise to over two children per woman between 1995 and 2010, although it is expected to drop again by 2020, to just 1.78.

Teenage birth rate is number of live births among females ages 15 to 19 years per 1,000 females in that age group in a year. Data are for Santa Clara County residents. The measure is summarized for total county population by race/ethnicity. Teenage birth rates are presented for females ages 15 to 17, 18 to 19 and 15 to 19 years. Data trends are from year 2000 to 2015. Source: Santa Clara County Public Health Department, 2000-2015 Birth Statistical Master File; U.S. Census Bureau, 2010 Census.METADATA:Notes (String): Lists table title, notes, sourcesYear (Numeric): Year of birthAge group (String): Lists the age of mother at the time of birth: 15 to 17, 18 to 19 and 15 to 19 years.Category (String): Lists the category representing the data: Santa Clara County is for total population, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only).Rate per 1,000 females in the age group (Numeric): Teen birth rate is number of live births to mothers ages 15 to 19 years at the time of birth per 1,000 females in that age group in a year. Rate based on birth count less than 6 in a year in the area are not presented.

Infant mortality rates in the United States reveal significant disparities among racial and ethnic groups. In 2023, Black mothers faced the highest rate at nearly 11 deaths per 1,000 live births, more than double the rate for white mothers. This stark contrast persists despite overall improvements in healthcare and highlights the need for targeted interventions to address these inequalities. Birth rates and fertility trends While infant mortality rates vary, birth rates also differ across ethnicities. Native Hawaiian and Pacific Islander women had the highest fertility rate in 2022, with about 2,237.5 births per 1,000 women, far exceeding the national average of 1,656.5. In 2023, this group maintained the highest birth rate at 79 births per 1,000 women. Asian women, by contrast, had a much lower birth rate of around 50 per thousand women. These differences in fertility rates can impact overall population growth and demographic shifts within the United States. Hispanic birth trends and fertility decline The Hispanic population in the United States has experienced significant changes in birth trends over recent decades. In 2021, 885,916 babies were born to Hispanic mothers, with a birth rate of 14.1 per 1,000 of the Hispanic population. This represents a slight increase from the previous year. However, the fertility rate among Hispanic women has declined dramatically since 1990, dropping from 108 children per 1,000 women aged 15-44 to 63.4 in 2021. This decline aligns with broader trends of decreasing fertility rates in more industrialized nations.

This dataset contains counts of live births for California counties based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period.

The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.

In the United States, non-Hispanic Black women currently have higher rates of twin births than any other ethnicity or race with **** per 1,000 live births being twins. There are two types of twins, identical and fraternal. Identical twins form when one fertilized egg splits and develops two babies, while fraternal twins form from two eggs that are fertilized by two sperm. Fraternal twins, although born at the same time, are no more alike than siblings born at different times. Twin births in the United States The birth rate for twins in the United States has increased over the past few decades, with around **** twin births per 1,000 live births in 2023. Factors that increase the odds of having a twin birth include race, genetics, the number of previous pregnancies, assisted reproductive techniques, and the age of the mother. Those aged 45 to 54 years have a significantly higher twin birth rate than younger women in the United States. The states with the highest average twin birth rates include Michigan, Mississippi, and Connecticut. Birth rates in the United States As is the case in many other developed countries, the birth rate in the United States has steadily decreased. In 2023, there were just **** births per 1,000 population, compared to **** births per 1,000 population in the year 1990. Unsurprisingly, the birth rate is highest among women aged 20 to 34 years, however women are increasingly having birth later in life.

Low birthweight rate is number of newborn babies born with weight of less than 2,500 grams per 100 live births in a year. Data are for Santa Clara County residents. The measure is summarized for total county population by race/ethnicity and age of the mother. Data trends are from year 2006 to 2015. Source: Santa Clara County Public Health Department, Birth Stastical Master File, 2006-2015; Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics report; vol 66, no 1. Hyattsville, MD: National Center for Health Statistics. 2017; Kidsdata.org; HealthyPeople 2020.METADATA:Notes (String): Lists table title, notes, sourcesYear (Numeric): Year of birthCategory (String): Lists the category representing the data: Santa Clara County is for total population, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only), and age of mother at the time of birth: 15 to 17, 18 to 29, 20 to 24, 25 to 34, 35 to 44, 45 years and over.Percentage (Numeric): Low birthweight is number of live births with birth weight of less than 2,500 grams (5 lbs, 8oz) per 100 live births in a year.

Preterm is defined as live births occurring between 17 and 36 weeks gestational age. Gestation was calculated based on obstetrical estimate. Single-year data are only available for Los Angeles County overall, Service Planning Areas, Supervisorial Districts, City of Los Angeles overall, and City of Los Angeles Council Districts.Infants born before 37 weeks of gestation have a higher risk of infections, developmental problems, breathing problems, and even death. Preterm births are more common in certain racial and ethnic groups, with Black pregnant persons experiencing preterm births more frequently than Whites. Chronic stress associated with both historical and ongoing racism are important contributing factors. Strategies to reduce preterm births include promoting adequate birth spacing, helping pregnant people quit smoking, and providing high-quality medical care during pregnancy.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

In 2024, white Americans remained the largest racial group in the United States, numbering just over 254 million. Black Americans followed at nearly 47 million, with Asians totaling around 23 million. Hispanic residents, of any race, constituted the nation’s largest ethnic minority. Despite falling fertility, the U.S. population continues to edge upward and is expected to reach 342 million in 2025. International migrations driving population growth The United States’s population growth now hinges on immigration. Fertility rates have long been in decline, falling well below the replacement rate of 2.1. On the other hand, international migration stepped in to add some 2.8 million new arrivals to the national total that year. Changing demographics and migration patterns Looking ahead, the U.S. population is projected to grow increasingly diverse. By 2060, the Hispanic population is expected to grow to 27 percent of the total population. Likewise, African Americans will remain the largest racial minority at just under 15 percent.

BackgroundRacial and ethnic disparities persist in preterm birth (PTB) and gestational age (GA) at delivery in the United States. It remains unclear whether exposure to environmental chemicals contributes to these disparities.ObjectivesWe applied recent methodologies incorporating environmental mixtures as mediators in causal mediation analysis to examine whether racial and ethnic disparities in GA at delivery and PTB may be partially explained by exposures to polybrominated diphenyl ethers (PBDEs), a class of chemicals used as flame retardants in the United States.MethodsData from a multiracial/ethnic US cohort of 2008 individuals with low-risk singleton pregnancies were utilized, with plasma PBDE concentrations measured during early pregnancy. We performed mediation analyses incorporating three forms of mediators: (1) reducing all PBDEs to a weighted index, (2) selecting a PBDE congener, or (3) including all congeners simultaneously as multiple mediators, to evaluate whether PBDEs may contribute to the racial and ethnic disparities in PTB and GA at delivery, adjusted for potential confounders.ResultsAmong the 2008 participants, 552 self-identified as non-Hispanic White, 504 self-identified as non-Hispanic Black, 568 self-identified as Hispanic, and 384 self-identified as Asian/Pacific Islander. The non-Hispanic Black individuals had the highest mean ∑PBDEs, the shortest mean GA at delivery, and the highest rate of PTB. Overall, the difference in GA at delivery comparing non-Hispanic Black to non-Hispanic White women was −0.30 (95% CI: −0.54, −0.05) weeks. This disparity reduced to −0.23 (95% CI: −0.49, 0.02) and −0.18 (95% CI: −0.46, 0.10) weeks if fixing everyone's weighted index of PBDEs to the median and the 25th percentile levels, respectively. The proportion of disparity mediated by the weighted index of PBDEs was 11.8%. No statistically significant mediation was found for PTB, other forms of mediator(s), or other racial and ethnic groups.ConclusionPBDE mixtures may partially mediate the Black vs. White disparity in GA at delivery. While further validations are needed, lowering the PBDEs at the population level might help reduce this disparity.

This data includes several different tables presenting counts of births by race (total, Black, white) by Census Tract aggregated over a five-year period (2014-18). Data extracted from Pennsylvania's Vital Statistics Database with the following disclaimer: "These data were provided by the Pennsylvania Department of Health. The Department specifically disclaims responsibility for any analyses, interpretations, or conclusions." Census tract of residence was determined using address-level data. Records were excluded from analysis if address was missing or unmatched to a census tract (≈1% records). Census tracts starting with 980x.xx, 981x.xx, and 982x.xx were also excluded due to a geocoding error. 2014 used a different methodology to assign census tract compared to years 2015-2018. Counts < 5 are censored and displayed as "None". Census-tract-level counts may not equal county-level counts when summed due to censored data or missing data. For cause of death, underlying cause of death from the death certificate is used and is categorized based on ICD-10 codes, defined below.

Objective: Examine factors influencing late (> sixth month of gestation) entry into prenatal care by race/ethnicity and insurance payer. Methods: The study population was drawn from singleton live births in California from 2007 to 2012 in the birth cohort file maintained by the California Office of Statewide Health Planning and Development, which includes linked birth certificate and mother and infant hospital discharge records. The sample was restricted to infants delivered between 20 and 44 weeks gestation. Logistic regression was used to calculate relative risks (RR) and 95% confidence intervals (CI) for factors influencing late entry into prenatal care. Maternal age, education, smoking, drug or alcohol abuse/dependence, mental illness, participation in the Women, Infants and Children’s program and rural residence were evaluated for women entering prenatal care > sixth month of gestation compared with women entering < fourth month. Backwards stepwise logistic regression was used to create final multivariable models of risk and protective factors for late prenatal care entry for each race or ethnicity and insurance payer. Results: The sample included 2,963,888 women. The percent of women with late entry into prenatal care was consistently higher among women with public versus private insurance. Less than 1% of white non-Hispanic and Asian women with private insurance entered prenatal care late versus more than 4% of white non-Hispanic and black women with public insurance. After stratifying by race or ethnicity and insurance status, women less than 18 years of age were more likely to enter prenatal care late, with young Asian women with private insurance at the highest risk (15.6%; adjusted RR 7.4, 95%CI 5.3–10.5). Among all women with private insurance, > 12-year education or age >34 years at term reduced the likelihood of late prenatal care entry (adjusted RRs 0.5–0.7). Drugs and alcohol abuse/dependence and residing in a rural county were associated with increased risk of late prenatal care across all subgroups (adjusted RRs 1.3–3.8). Participation in the Women, Infants, and Children’s program was associated with decreased risk of late prenatal care for women with public insurance (adjusted RRs 0.6–0.7), but increased risk for women with private insurance (adjusted RRs 1.4–2.1). Conclusions: The percent of women with late entry into prenatal care was consistently higher among women with public insurance. Younger women, women with <12-year education, those who used drugs or alcohol or resided in rural counties were more likely to enter prenatal care late, with Asian women <18 years at especially high risk. Participation in the Women, Infants, and Children’s program and maternal age >34 years at delivery increased the likelihood of late prenatal care for some subgroups of women and decreased the likelihood for others. These findings can inform institutional factors influencing late prenatal care, especially among lower income women, and may assist efforts aimed at encouraging earlier entry into prenatal care. Rationale: Optimal prenatal care includes initiation before the 14th week of gestation. Beginning care in the first trimester provides an opportunity for sonographic pregnancy dating or confirmation with best accuracy, which can later prove critical for management of preterm labor, maternal or fetal complications, or prolonged pregnancy. In order to improve maternal and infant health by increasing the number of women seeking prenatal care in the first trimester, it is important to examine the drivers for late entry. Here, we examine factors influencing late (> sixth month of gestation) entry into prenatal care by race/ethnicity and insurance payer. We found the percent of women with late entry into prenatal care was consistently higher among women with public insurance. Younger women, women with <12-year education, those who used drugs or alcohol or resided in rural counties were more likely to enter prenatal care late, with Asian women <18 years at especially high risk. These findings can inform institutional factors influencing late prenatal care, especially among lower income women, and may assist efforts aimed at encouraging earlier entry into prenatal care.

Abstract Background: Brazil has shown a considerable decline in fertility rates in recent decades. However, sociodemographic differences still have a direct impact on access to family planning in the country. Objective: To estimate the prevalence of contraceptive use according to sociodemographic variables among Brazilian women in reproductive age. Methods: A cross-sectional study conducted with 17,809 women who have responded to the National Health Survey. We estimated the prevalence as well as the 95% confidence intervals and we used Pearson’s chi-square test at a significance level of 5% to analyze differences between groups. Results: More than 80% of the women reported to use some contraception method, the most used method was oral contraceptive (34.2%), followed by surgical (25.9%) and condoms (14.5%). Black/Brown, northerly, and low-educated women are more frequently sterilized, while white women, with higher schooling and those living in the south and southeast are the ones who use oral contraception and double protection the most. Conclusion: Despite the observed improvements, there was no decrease in the prevalence for not using any CM and there are inequalities in access to contraception in the country.

Population health research finds women’s mortality risk associated with childlessness, low parity (one child), and high parity (6+ children) in a U-shaped pattern, although U.S. studies are inconsistent overall and by race/ethnicity. Parity, however, is contingent on women’s biophysiological likelihood of (in)fecundity as well as voluntary control practices that limit fertility. No studies have empirically examined infecundity differentials among women and their potential contribution to the parity–post-reproductive mortality relationship or the race/ethnic-related mortality gap. We examine 7,322 non-Hispanic Black and White women, born 1920–1941, in the Health and Retirement Study, using zero-inflation methods to estimate infecundity risk and parity by race/ethnicity. We estimate proportional hazards models [t0 1992/1998, t1 2018] to examine associations of infecundity risk, parity, early-life-course health and social statuses, and post-reproductive statuses with all-cause mortality. We find Black women’s infecundity probability to be twice that of White women and their expected parity 40% higher. Infecundity risk increases mortality risk for all women, but parity–post-reproductive mortality associations differ by race/ethnicity. White women with one and 5+ children (U-shaped curve) have increased mortality risk, adjusting for infecundity risk and early-life factors; further adjustment for post-reproductive health and social status attenuates all parity-related mortality risk. Black women’s parity–post-reproductive mortality associations are not statistically significant. Black women’s post-reproductive mortality risk is anchored in earlier-life conditions that elevate infecundity risk. Results suggest a need to focus upstream to better elucidate race/ethnic-related social determinants of reproductive health, infecundity, parity, and mortality.

Life expectancy at birth is the average number of years a group of infants would live if they were to experience, throughout their lives, the age-specific death rates prevailing during a specified period. Life expectancy at birth estimates were calculated using abridged period life tables according to the Chiang method. Estimates are based on provisional data and subject to change. Unstable estimates are excluded and are defined as having confidence intervals greater than 6 years, i.e., +/-3.0 years. The average life expectancy of a population is one of the most basic and important measures of the health of a community. Life expectancy is heavily driven by the social determinants of health, including social, economic, and environmental conditions, with Black and low-income individuals experiencing much lower life expectancies compared to White and more affluent individuals.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

In the fiscal year of 2019, 21.39 percent of active-duty enlisted women were of Hispanic origin. The total number of active duty military personnel in 2019 amounted to 1.3 million people.

Ethnicities in the United States The United States is known around the world for the diversity of its population. The Census recognizes six different racial and ethnic categories: White American, Native American and Alaska Native, Asian American, Black or African American, Native Hawaiian and Other Pacific Islander. People of Hispanic or Latino origin are classified as a racially diverse ethnicity.

The largest part of the population, about 61.3 percent, is composed of White Americans. The largest minority in the country are Hispanics with a share of 17.8 percent of the population, followed by Black or African Americans with 13.3 percent. Life in the U.S. and ethnicity However, life in the United States seems to be rather different depending on the race or ethnicity that you belong to. For instance: In 2019, native Hawaiians and other Pacific Islanders had the highest birth rate of 58 per 1,000 women, while the birth rae of white alone, non Hispanic women was 49 children per 1,000 women.

The Black population living in the United States has the highest poverty rate with of all Census races and ethnicities in the United States. About 19.5 percent of the Black population was living with an income lower than the 2020 poverty threshold. The Asian population has the smallest poverty rate in the United States, with about 8.1 percent living in poverty.

The median annual family income in the United States in 2020 earned by Black families was about 57,476 U.S. dollars, while the average family income earned by the Asian population was about 109,448 U.S. dollars. This is more than 25,000 U.S. dollars higher than the U.S. average family income, which was 84,008 U.S. dollars.

In 1991, the birth rate for girls aged 10 to 14 years in the United States stood at 1.4 births per every thousand girls. Since 1991, this rate has consistently decreased, dropping to .2 in the year 2023. This statistic depicts the number of births per thousand U.S. females aged 10 to 14 years between 1991 and 2023. Teenage pregnancy and contraception Over the years, the rate of teenage pregnancy and birth has declined in the United States, most likely due to lower rates of sexual activity in this age group as well as increased use of birth control methods. However, the use and accessibility of contraceptives remains a problem in many parts of the United States. For example, in 2021, only 21 percent of sexually active high school students reported using the birth control pill to prevent pregnancy before their last sexual intercourse. This rate was highest among white high students and lowest among Black students, with only 11 percent reporting use of the birth control pill before their last intercourse. Condom use is more prevalent among high school students than use of the pill, but still only just over half of high school students reported using a condom the last time they had sex as of 2021. Disparities in teenage pregnancy Although rates have decreased over the past decades, teenage pregnancy and birth rates in the U.S. are still higher than in other Western countries. Geographic, racial, and ethnic disparities in teen birth rates are still prevalent within the country. In 2023, teenage birth rates were highest among Native Hawaiian and Pacific Islanders. Other contributing factors to high teen birth rates also include poor socioeconomic conditions, low education, and low-income status.