Over the past 70 years in the United States, women have gradually started having children at a later point in their lives. Before the 1980s, women in their early twenties had the highest birth rates, however women in their late twenties had the highest rates between 1980 and 2015, but were recently overtaken by women in their early thirties. Another major trend is the decline of teenage pregnancies, which was less than a quarter of it's 1950-1955 rate in the years between 2015 and 2020. In fact, birth rates among 15-19 years olds often doubled birth rates of women aged 35-39 throughout the late twentieth century, but in 2020, the opposite is true.

For women in their forties, birth rates have remained comparatively lower than rates among the other age groups. The high figures in the 1950s and 1960s, can be attributed to the baby boom that followed the Second World War. In more recent decades, rising birth rates among older age groups is not only due to societal trends, but has also been aided by improvements in assisted reproductive technology (ART), such as in vitro fertilization (IVF). Such technologies have granted thousands of women the ability to conceive in circumstances where this would not have been possible in years past.

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

In 2023, the number of births was the highest in the age group of women between 20 and 34 years old, at 83 births per 1,000 women. The lowest birth rate was the group aged between 15 and 19 years at eight births per 1,000 women.

This dataset includes birth rates for females by age group in the United States since 1940. 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.

Population Projections: Fertility rates by age of the mother and year. Annual. Provinces.

This dataset includes teen birth rates for females by age group, race, and Hispanic origin in the United States since 1960.

Data availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison.

National data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. 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).

In 2022, the fertility rate among women between the ages of 30 and 34 years in South Korea stood at around 73.5 births per 1,000 women. This was the most fertile age range that year, followed by women in their late thirties and late twenties.

This statistic presents the total fertility rate in France from 1995 to 2022, by age group (per 100 women). It appears that since the mid-2000s, women were having children later. In 2000, the average number of children born per 100 women aged 25-29 years was of 13.42 compared to 11.65 children per 100 women aged 30-34 years. And in 2022, the age group between 30 and 34 years had the highest fertility rate, with 12.4 children born per 100 women.

India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 20-24 data was reported at 152.300 NA in 2016. This records a decrease from the previous number of 192.700 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 20-24 data is updated yearly, averaging 210.600 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 218.500 NA in 2010 and a record low of 152.300 NA in 2016. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 20-24 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.

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.

Crude birth rate : The ratio of the number of live births during the year to the average population in that year. The value is expressed per 1 000 population. Total fertility rate : Mean number of children that would be born alive to a woman during her lifetime if she were to pass through and survive her childbearing years conforming to the fertility rates by age of a given year. Description copied from catalog.inspire.geoportail.lu.

This map shows the average number of children born to a woman during her lifetime. Data from Population Reference Bureau's 2017 World Population Data Sheet. The world's total fertility rate reported in 2017 was 2.5 as a whole. Replacement-Level fertility is widely recognized as 2.0 children per woman, so as to "replace" each parent in the next generation. Countries depicted in pink have a total fertility rate below replacement level whereas countries depicted in teal have a total fertility rate above replacement level. In countries with very high child mortality rates, a replacement level of 2.1 could be used, since not every child will survive into their reproductive years. Determinants of Total Fertility Rate include: women's education levels and opportunities, marriage rates among women of childbearing age (generally defined as 15-49), contraceptive usage and method mix/effectiveness, infant & child mortality rates, share of population living in urban areas, the importance of children as part of the labor force (or cost/penalty to women's labor force options that having children poses), and religious and cultural norms, among many other factors. This map was made using the Global Population and Maternal Health Indicators layer.

This dataset contains New York State live births and fertility rates stratified by the mother’s age range and county of residence. The data presented here may not be the same as the Vital Statistics tables on the DOH public web due to data updates. For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.

India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 30-34 data was reported at 91.700 NA in 2016. This records an increase from the previous number of 77.600 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 30-34 data is updated yearly, averaging 69.800 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 91.700 NA in 2016 and a record low of 63.900 NA in 2013. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 30-34 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.

India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 30-34 data was reported at 76.500 NA in 2016. This records an increase from the previous number of 63.600 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 30-34 data is updated yearly, averaging 58.800 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 76.500 NA in 2016 and a record low of 55.600 NA in 2012. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 30-34 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.

India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 45-49 data was reported at 2.500 NA in 2016. This records a decrease from the previous number of 2.800 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 45-49 data is updated yearly, averaging 1.100 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 2.800 NA in 2015 and a record low of 0.800 NA in 2012. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 45-49 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.

This scatter chart displays median age (year) against fertility rate (births per woman). The data is about regions.

This layer contains 2010-2014 American Community Survey (ACS) 5-year data, and contains estimates and margins of error. The layer shows fertility in past 12 months by age of mother. This is shown by tract, county, and state boundaries. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. The calculated percentages are slightly different from traditional age-specific fertility rates in that the total number of live births (due to twins or higher-order multiple births) is not available in this table. Note: Data are not available for all geographies within this layer due to data suppression done by the American Community Survey. Since there was a data collection error in the 2011 and 2012 surveys, this impacts the 2010-2014 5-year estimates. To learn more and to see a list of the affected geographies, visit this page about Errata 119.This layer is symbolized to show the percent of women age 15 to 50 who had a birth in the past 12 months. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Vintage: 2010-2014ACS Table(s): B13016 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: November 11, 2020National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer has associated layers containing the most recent ACS data available by the U.S. Census Bureau. Click here to learn more about ACS data releases and click here for the associated boundaries layer. The reason this data is 5+ years different from the most recent vintage is due to the overlapping of survey years. It is recommended by the U.S. Census Bureau to compare non-overlapping datasets.Boundaries come from the US Census TIGER geodatabases. Boundary vintage (2014) appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 15-19 data was reported at 10.700 NA in 2016. This records a decrease from the previous number of 11.100 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 15-19 data is updated yearly, averaging 28.100 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 37.200 NA in 2010 and a record low of 10.700 NA in 2016. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 15-19 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.

India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 25-29 data was reported at 180.200 NA in 2016. This records an increase from the previous number of 163.500 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 25-29 data is updated yearly, averaging 163.700 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 180.200 NA in 2016 and a record low of 154.200 NA in 2014. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 25-29 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.