Over the past 30 years, the birth rate in the United States has been steadily declining, and in 2023, there were 10.7 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 recently. Studies have shown that the life expectancy of both men and women in the United States has been declining over the last few years. 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.

Crude birth rates, age-specific fertility rates and total fertility rates (live births), 2000 to most recent year.

In France, the crude birth rate in 1800 was 29.4 live births per thousand people, meaning that 2.9 percent of the population had been born in that year. In the first half of the nineteenth century France's crude birth rate dropped from it's highest recorded level of 29.4 in 1800, to 21.9 by 1850. In the second half of the 1800s the crude birth rate rose again, to 25.5 in 1875, as the Second Republic and Second Empire were established, which was a time of economic prosperity and the modernization of the country. From then until 1910 there was a gradual decline, until the First World War caused a huge decline, resulting in a record low crude birth rate of 13.3 by 1920 (the figures for individual years fell even lower than this). The figure then bounced back in the early 1920s, before then falling again until the Second World War. After the war, France experienced a baby boom, where the crude birth rate reached 22.2, before it dropped again until the 1980s, and since then it has declined slowly. The crude birth rate of France is expected to reach a new, record low of 11.2 in 2020.

20.0 (Births per 1'000 Population) in 2010. Total country and regional values are calculated as live births according to the development of new correction factors (methodology explained in Appendix B of Vital Statistics Yearbook 2009). For the calculation of these rates estimated population as of June 30 of the current year is used according to the current Administrative Policy Division and considering the INE population estimates and projections, based on the 2002 Census. 2010: provisional figures.

14,4 (Births per 1'000 Population) in 2010. Total country and regional values are calculated as live births according to the development of new correction factors (methodology explained in Appendix B of Vital Statistics Yearbook 2009). For the calculation of these rates estimated population as of June 30 of the current year is used according to the current Administrative Policy Division and considering the INE population estimates and projections, based on the 2002 Census. 2010: provisional figures.

15,7 (Births per 1'000 Population) в 2010. Total country and regional values are calculated as live births according to the development of new correction factors (methodology explained in Appendix B of Vital Statistics Yearbook 2009). For the calculation of these rates estimated population as of June 30 of the current year is used according to the current Administrative Policy Division and considering the INE population estimates and projections, based on the 2002 Census. 2010: provisional figures.

In 2021, the birth rate in the United States was highest in families that had under 10,000 U.S. dollars in income per year, at 62.75 births per 1,000 women. As the income scale increases, the birth rate decreases, with families making 200,000 U.S. dollars or more per year having the second-lowest birth rate, at 47.57 births per 1,000 women. Income and the birth rate Income and high birth rates are strongly linked, not just in the United States, but around the world. Women in lower income brackets tend to have higher birth rates across the board. There are many factors at play in birth rates, such as the education level of the mother, ethnicity of the mother, and even where someone lives. The fertility rate in the United States The fertility rate in the United States has declined in recent years, and it seems that more and more women are waiting longer to begin having children. Studies have shown that the average age of the mother at the birth of their first child in the United States was 27.4 years old, although this figure varies for different ethnic origins.

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.

1,52 (Children per woman) in 2019. Total fertility rate shows potential amount of children that one woman would bear during whole childbearing period (15-50 years) if birth rate for each age remained unchanged on the level of the year, for which indicator is calculated. The value of indicator does not depend on age structure of population and shows average birth rate at given calendar period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

13,8 (Births per 1'000 Population) in 2010. Total country and regional values are calculated as live births according to the development of new correction factors (methodology explained in Appendix B of Vital Statistics Yearbook 2009). For the calculation of these rates estimated population as of June 30 of the current year is used according to the current Administrative Policy Division and considering the INE population estimates and projections, based on the 2002 Census. 2010: provisional figures.

Fertility rate of Saratov Region slumped by 5.88% from 1.36 children per woman in 2018 to 1.28 children per woman in 2019. Since the 1.91% rise in 2015, fertility rate sank by 20.00% in 2019. Total fertility rate shows potential amount of children that one woman would bear during whole childbearing period (15-50 years) if birth rate for each age remained unchanged on the level of the year, for which indicator is calculated. The value of indicator does not depend on age structure of population and shows average birth rate at given calendar period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

Number of births per 1,000 women. Note:Teenage birth rates are calculated using the Australian female Estimated Resident Population (ERP) aged 15–19 as the denominator.

1,53 (Children per woman) in 2019. The total fertility rate in a specific year is defined as the total number of children that would be born to each woman if she were to live to the end of her child-bearing years and give birth to children in alignment with the prevailing age-specific fertility rates. The value of indicator does not depend on age structure of population and shows average birth rate at given period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

Fertility rate of Sakha, Republic of (Yakutia) dipped by 1.62% from 1.85 children per woman in 2018 to 1.82 children per woman in 2019. Since the 3.69% rise in 2014, fertility rate sank by 19.11% in 2019. Total fertility rate shows potential amount of children that one woman would bear during whole childbearing period (15-50 years) if birth rate for each age remained unchanged on the level of the year, for which indicator is calculated. The value of indicator does not depend on age structure of population and shows average birth rate at given calendar period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

1,21 (Children per woman) in 2019. The total fertility rate in a specific year is defined as the total number of children that would be born to each woman if she were to live to the end of her child-bearing years and give birth to children in alignment with the prevailing age-specific fertility rates. The value of indicator does not depend on age structure of population and shows average birth rate at given period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

This dataset contains California’s adolescent birth rate (ABR) by county, age group and race/ethnicity using aggregated years 2014-2016. The ABR is calculated as the number of live births to females aged 15-19 divided by the female population aged 15-19, multiplied by 1,000. Births to females under age 15 are uncommon and thus added to the numerator (total number of births aged 15-19) in calculating the ABR for aged 15-19. The categories by age group are aged 18-19 and aged 15-17; births occurring to females under aged 15 are added to the numerator for aged 15-17 in calculating the ABR for this age group. The race and ethnic groups in this table utilized five mutually exclusive race and ethnicity categories. These categories are Hispanic and the following Non-Hispanic categories of Multi-Race, Black, American Indian (includes Eskimo and Aleut), Asian and Pacific Islander (includes Hawaiian) combined, and White. Note that there are birth records with missing race/ethnicity or categorized as “Other” and not shown in the dataset but included in the ABR calculation overall.

1.53 (Children per woman) in 2019. Total fertility rate shows potential amount of children that one woman would bear during whole childbearing period (15-50 years) if birth rate for each age remained unchanged on the level of the year, for which indicator is calculated. The value of indicator does not depend on age structure of population and shows average birth rate at given calendar period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

This SAS macro generates childhood mortality estimates (neonatal, post-neonatal, infant (1q0), child (4q1) and under-five (5q0) mortality) and standard errors based on birth histories reported by women during a household survey. We have made the SAS macro flexible enough to accommodate a range of calculation specifications including multi-stage sampling frames, and simple random samples or censuses. Childhood mortality rates are the component death probabilities of dying before a specific age. This SAS macro is based on a macro built by Keith Purvis at MeasureDHS. His method is described in Estimating Sampling Errors of Means, Total Fertility, and Childhood Mortality Rates Using SAS (www.measuredhs.com/pubs/pdf/OD17/OD17.pdf, section 4). More information about Childhood Mortality Estimation can also be found in the Guide to DHS Statistics (www.measuredhs.com/pubs/pdf/DHSG1/Guide_DHS_Statistics.pdf, page 93). We allow the user to specify whether childhood mortality calculations should be based on 5 or 10 years of birth histories, when the birth history window ends, and how to handle age of death with it is reported in whole months (rather than days). The user can also calculate mortality rates within sub-populations, and take account of a complex survey design (unequal probability and cluster samples). Finally, this SAS program is designed to read data in a number of different formats.

1.48 (Children per woman) in 2019. Total fertility rate shows potential amount of children that one woman would bear during whole childbearing period (15-50 years) if birth rate for each age remained unchanged on the level of the year, for which indicator is calculated. The value of indicator does not depend on age structure of population and shows average birth rate at given calendar period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.

1.29 (Children per woman) in 2019. Total fertility rate shows potential amount of children that one woman would bear during whole childbearing period (15-50 years) if birth rate for each age remained unchanged on the level of the year, for which indicator is calculated. The value of indicator does not depend on age structure of population and shows average birth rate at given calendar period. Total fertility rate is calculated as the sum of age-specific (15-49 years) fertility rates.