While the standard image of the nuclear family with two parents and 2.5 children has persisted in the American imagination, the number of births in the U.S. has steadily been decreasing since 1990, with about 3.67 million babies born in 2022. In 1990, this figure was 4.16 million. Birth and replacement rates A country’s birth rate is defined as the number of live births per 1,000 inhabitants, and it is this particularly important number that has been decreasing over the past few decades. The declining birth rate is not solely an American problem, with EU member states showing comparable rates to the U.S. Additionally, each country has what is called a “replacement rate.” The replacement rate is the rate of fertility needed to keep a population stable when compared with the death rate. In the U.S., the fertility rate needed to keep the population stable is around 2.1 children per woman, but this figure was at 1.67 in 2022. Falling birth rates Currently, there is much discussion as to what exactly is causing the birth rate to decrease in the United States. There seem to be several factors in play, including longer life expectancies, financial concerns (such as the economic crisis of 2008), and an increased focus on careers, all of which are causing people to wait longer to start a family. How international governments will handle falling populations remains to be seen, but what is clear is that the declining birth rate is a multifaceted problem without an easy solution.

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.

This dataset includes crude birth rates and general fertility rates in the United States since 1909. The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births. SOURCES NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/). REFERENCES National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

Over the past 30 years, the birth rate in the United States has been steadily declining, and in 2022, there were 11 births per 1,000 of the population. In 1990, this figure stood at 16.7 births per 1,000 of the population. Demographics have an impact The average birth rate in the U.S. may be falling, but when broken down along ethnic and economic lines, a different picture is painted: Native Hawaiian and other Pacific Islander women saw the highest birth rate in 2022 among all ethnicities, and Asian women and white women both saw the lowest birth rate. Additionally, the higher the family income, the lower the birth rate; families making between 15,000 and 24,999 U.S. dollars annually had the highest birth rate of any income bracket in the States. Life expectancy at birth In addition to the declining birth rate in the U.S., the total life expectancy at birth has also reached its lowest value in recent years. Studies have shown that the life expectancy of both men and women in the United States has declined as of 2021. Declines in life expectancy, like declines in birth rates, may indicate that there are social and economic factors negatively influencing the overall population health and well-being of the country.

This dataset includes birth rates for unmarried women by age group, race, and Hispanic origin in the United States since 1970. Methods for collecting information on marital status changed over the reporting period and have been documented in: • Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf. • National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm. National data on births by Hispanics origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; for New Hampshire and Oklahoma in 1990; for New Hampshire in 1991 and 1992. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see (ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf.) All birth data by race before 1980 are based on race of the child. Starting in 1980, birth data by race are based on race of the mother. SOURCES CDC/NCHS, National Vital Statistics System, birth data (see http://www.cdc.gov/nchs/births.htm); public-use data files (see http://www.cdc.gov/nchs/data_access/Vitalstatsonline.htm); and CDC WONDER (see http://wonder.cdc.gov/). REFERENCES Curtin SC, Ventura SJ, Martinez GM. Recent declines in nonmarital childbearing in the United States. NCHS data brief, no 162. Hyattsville, MD: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data/databriefs/db162.pdf. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf.

Chart and table of the U.S. birth rate from 1950 to 2025. United Nations projections are also included through the year 2100.

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

The child mortality rate in the United States, for children under the age of five, was 462.9 deaths per thousand births in 1800. This means that for every thousand babies born in 1800, over 46 percent did not make it to their fifth birthday. Over the course of the next 220 years, this number has dropped drastically, and the rate has dropped to its lowest point ever in 2020 where it is just seven deaths per thousand births. Although the child mortality rate has decreased greatly over this 220 year period, there were two occasions where it increased; in the 1870s, as a result of the fourth cholera pandemic, smallpox outbreaks, and yellow fever, and in the late 1910s, due to the Spanish Flu pandemic.

This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. Infant Mortality is defined as the number of deaths in infants under one year of age per 1,000 live births. Infant mortality is often used as an indicator to measure the health and well-being of a community, because factors affecting the health of entire populations can also impact the mortality rate of infants. Although California’s infant mortality rate is better than the national average, there are significant disparities, with African American babies dying at more than twice the rate of other groups. Data are from the Birth Cohort Files. The infant mortality indicator computed from the birth cohort file comprises birth certificate information on all births that occur in a calendar year (denominator) plus death certificate information linked to the birth certificate for those infants who were born in that year but subsequently died within 12 months of birth (numerator). Studies of infant mortality that are based on information from death certificates alone have been found to underestimate infant death rates for infants of all race/ethnic groups and especially for certain race/ethnic groups, due to problems such as confusion about event registration requirements, incomplete data, and transfers of newborns from one facility to another for medical care. Note there is a separate data table "Infant Mortality by Race/Ethnicity" which is based on death records only, which is more timely but less accurate than the Birth Cohort File. Single year shown to provide state-level data and county totals for the most recent year. Numerator: Infants deaths (under age 1 year). Denominator: Live births occurring to California state residents. Multiple years aggregated to allow for stratification at the county level. For this indicator, race/ethnicity is based on the birth certificate information, which records the race/ethnicity of the mother. The mother can “decline to state”; this is considered to be a valid response. These responses are not displayed on the indicator visualization.

This collection provides information on live births in the United States during calendar year 1970. The natality data in this file are a component of the vital statistics collection effort maintained by the federal government. Variables specify place of birth, race and sex of the child, weight at birth and birth order, number of other children born alive or dead, person in attendance at birth, as well as mother's and father's age, race, and education.

In the United States, the crude birth rate in 1800 was 48.3 live births per thousand people, meaning that 4.8 percent of the population had been born in that year. Between 1815 and 1825 the crude birth rate jumped from 46.5 to 54.7 (possibly due to Florida becoming a part of the US, but this is unclear), but from this point until the Second World War the crude birth rate dropped gradually, reaching 19.2 in 1935. Through the 1940s, 50s and 60s the US experienced it's baby boom, and the birth rate reached 24.1 in 1955, before dropping again until 1980. From the 1980s until today the birth rate's decline has slowed, and is expected to reach twelve in 2020, meaning that just over 1 percent of the population will be born in 2020.

This data set lists the sex and number of birth registrations for each first name, from 1900 onward. Years are grouped by the date of the birth registration, not by the date of birth. Some birth registrations are not included, such as registrations with a sex other than Male or Female (i.e. indeterminate or not recorded), or where the birth registration date is not recorded. These excluded records are so few their exclusion is unlikely to have any significant impact on the data. Where a name has less than 10 instances in a particular year, the name will not be included in the data for that year. Due to this, total volumes will be less than the total birth registrations in that year. As first and middle names are recorded in our system together, the first name has been split off from the middle names. Due to the size of the data set, this was done with an automated system, generally looking for the first space in the name. This means there may be names not correctly added. Also, certain symbols in names may not carry through to the data correctly. Please let us know using the contact email address if you find any errors in the data.

This is the metadata for a clinical dataset entitled the The ARTERIAL US Study (A pReTERm Infants’ cArdiovascular deveLopment: An Ultrasound Study). We collected cardiovascular ultrasound data on the geometry, heart size, blood vessel diameters) and function (Doppler flow waveforms) of term and preterm hearts and vasculature. Study design: The ARTERIAL US Study is a single-centre prospective observational cohort study. Study synopsis Participants: 1. Term group: babies born at or after 37+0 weeks gestation 2. Late preterm group: babies born at or after 34+0 and before 37+0 weeks gestation Primary Outcome(s): Haemodynamic status as computed by the computational model of the neonatal cardiovascular system Sample Size: 15 term and 10 late preterm Study Setting: Auckland City Hospital, Te Toka Tumai Auckland (formerly Auckland District Health Board) Eligibility criteria Inclusion criteria: Born at or after at or after 37+0 weeks gestation (term group) or born at or after 34+0 and before 37+0 weeks gestation (late preterm group), Parental consent Exclusion criteria: Known medical conditions or cardiovascular abnormalities. Data collection Methods: Babies will have an ultrasound examination within 48 hours of birth and again three to six weeks later weeks later (i.e., at term equivalent postmenstrual age). Data collection included clinical data collection (data from the medical records about the following clinical factors: antenatal admission to hospital, gestational diabetes mellitus, antenatal infection, placental:fetal weight ratio, exposure to antenatal corticosteroids and magnesium sulphate, risk factors and primary reason for preterm birth (including pre-eclampsia, chorioamnionitis and fetal growth restriction), age at scan, sex, gestational age at birth, birth weight and length, head circumference at birth, APGARs, delayed cord clamping, postnatal steroid administration), anthropometric measurements and ultrasound measurements. Data availability Data and associated documentation from participants who have consented to future re-use of their data are available to other users under the data sharing arrangements provided by the University of Auckland’s Human Health Research Services (HHRS) platform (https://research-hub.auckland.ac.nz/subhub/human-health-research-services-platform). The data dictionary and metadata are published on the here. Researchers are able to use this information and the provided contact address (dataservices@auckland.ac.nz) to request a de-identified dataset through the HHRS Data Access Committee. Data will be shared with researchers who provide a methodologically sound proposal and have appropriate ethical approval, where necessary, to achieve the research aims in the approved proposal. Data requestors are required to sign a Data Access Agreement that includes a commitment to using the data only for the specified proposal, not to attempt to identify any individual participant, a commitment to secure storage and use of the data, and to destroy or return the data after completion of the project. The HHRS platform reserves the right to charge a fee to cover the costs of making data available, if needed, for data requests that require additional work to prepare.

As of 2016, the top U.S. hospital for child birth is Northside Hospital in Atlanta, Georgia. All hospitals are required, by law, to report and provide access to birth records through the federal National Vital Statistics system. The U.S. system of reporting births (and deaths) is funded by individual States as well as through the National Center for Health Statistics.

Georgia birth data

Georgia is one of the most populous states in the United States. The metropolitan area with the highest birth rate in the U.S. was Hinesville, Georgia. Hinesville is located in the south eastern section of the state of Georgia. Despite having the hospital that delivers the most babies in the U.S., Georgia does not have one of highest birth rates in the U.S. As of 2017, Utah had the highest birth rate in the United States.

Birth-related developments

The number of U.S. births has remained relatively stable since 1990. Despite having a relatively stable birth rate, the number bassinet available in U.S. hospitals is on the decline. Birth rates, however, show variation among different U.S. populations. Mothers of American Indian or Alaska Native descent tend to have higher birth rates than other ethnicities.

A range of indicators for a selection of cities from the New York City Global City database.

Dataset includes the following:

Geography

City Area (km2)

Metro Area (km2)

People

City Population (millions)

Metro Population (millions)

Foreign Born

Annual Population Growth

Economy

GDP Per Capita (thousands $, PPP rates, per resident)

Primary Industry

Secondary Industry

Share of Global 500 Companies (%)

Unemployment Rate

Poverty Rate

Transportation

Public Transportation

Mass Transit Commuters

Major Airports

Major Ports

Education

Students Enrolled in Higher Education

Percent of Population with Higher Education (%)

Higher Education Institutions

Tourism

Total Tourists Annually (millions)

Foreign Tourists Annually (millions)

Domestic Tourists Annually (millions)

Annual Tourism Revenue ($US billions)

Hotel Rooms (thousands)

Health

Infant Mortality (Deaths per 1,000 Births)

Life Expectancy in Years (Male)

Life Expectancy in Years (Female)

Physicians per 100,000 People

Number of Hospitals

Anti-Smoking Legislation

Culture

Number of Museums

Number of Cultural and Arts Organizations

Environment

Green Spaces (km2)

Air Quality

Laws or Regulations to Improve Energy Efficiency

Retrofitted City Vehicle Fleet

Bike Share Program

Graph and download economic data for Estimate of People Age 0-17 in Poverty in Mecklenburg County, NC (PEU18NC37119A647NCEN) from 1989 to 2023 about Mecklenburg County, NC; Charlotte; under 18 years; NC; child; poverty; persons; and USA.

In 1980, some 18 percent of all women in the United States who gave birth were unmarried. As of 2023, the percentage of births to unmarried women had increased to 40 percent. This statistic depicts the percentage of births to unmarried women in the United States from 1980 to 2023.

The share of preterm births in the United States peaked in 2006 at 12.8 percent of all births. In 2022, 10.38 percent of all births in the United States were preterm births. This statistic depicts the percentage of births that were preterm births in the United States from 1990 to 2022.

In 2024, around 9.54 million babies were born in China. The number of births has increased slightly from 9.02 million in the previous year, but is much lower than the 17.86 million births recorded in 2016. Demographic development in China In 2022, the Chinese population decreased for the first time in decades, and population decline is expected to accelerate in the upcoming years. To curb the negative effects of an aging population, the Chinese government decided in 2013 to gradually relax the so called one-child-policy, which had been in effect since 1979. From 2016 onwards, parents in China were allowed to have two children in general. However, as the recent figures of births per year reveal, this policy change had only short-term effects on the general birth rate: the number of births slightly increased from 2014 onwards, but then started to fell again in 2018. In 2024, China was the second most populous country in the world, overtaken by India that year. China’s aging population The Chinese society is aging rapidly and facing a serious demographic shift towards older age groups. The median age of China’s population has increased massively from about 18 years in 1970 to 37.5 years in 2020 and is projected to rise continuously until 2080. In 2020, approximately 17.9 percent of the Chinese were 60 years and older, a figure that is forecast to rise as high as 44 percent by 2060. This shift in demographic development will increase social and elderly support expenditure of the society as a whole. One measure for this social imbalance is the old-age dependency ratio, measuring the relationship between economic dependent older age groups and the working-age population. The old-age dependency ratio in China is expected to soar to 69 percent in 2060, implying that by then three working-age persons will have to support two elderly persons.

Between 1939 and 1950, the Soviet Union's fertility rate underwent the most drastic change of all the major Allied Powers; falling from 4.9 births per woman in 1939 to just 1.7 births in 1943. In Russia alone, this decline was even greater, falling from 4.9 to 1.3 births in the same time period. After the war's conclusion in 1945, there was an observable increase in fertility in all the given countries, and this marked beginning of the global baby boom of the mid-twentieth century.