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<li>World birth rate for 2024 was <strong>17.30</strong>, a <strong>5.9% increase</strong> from 2023.</li>
<li>World birth rate for 2023 was <strong>16.33</strong>, a <strong>1.34% decline</strong> from 2022.</li>
<li>World birth rate for 2022 was <strong>16.56</strong>, a <strong>1.7% decline</strong> from 2021.</li>
</ul>Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
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This dataset contains counts of live births for California as a whole 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.
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.
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<li>U.S. birth rate for 2024 was <strong>12.01</strong>, a <strong>12.23% increase</strong> from 2023.</li>
<li>U.S. birth rate for 2023 was <strong>10.70</strong>, a <strong>2.73% decline</strong> from 2022.</li>
<li>U.S. birth rate for 2022 was <strong>11.00</strong>, a <strong>0% increase</strong> from 2021.</li>
</ul>Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
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.
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Count of live births represents births to Santa Clara County residents. The measure is summarized for total county population at census tract level. Data trends are from year 2004 to 2013.METADATA:Notes (String): Lists table title, notes, sourcesYear (Numeric): Year of birthCensus tracts 2000 (Numeric): Lists census tracts. U.S. Census Bureau, 2000 Census Tract geographies are used.Count (Numeric): Number of live births in a year in the area. Birth count less than 6 in a year in the area are not presented.
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<li>India birth rate for 2024 was <strong>16.75</strong>, a <strong>1.17% decline</strong> from 2023.</li>
<li>India birth rate for 2023 was <strong>16.95</strong>, a <strong>1.25% decline</strong> from 2022.</li>
<li>India birth rate for 2022 was <strong>17.16</strong>, a <strong>1.23% decline</strong> from 2021.</li>
</ul>Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
This dataset contains counts of live births to California residents by ZIP Code based on information entered on birth certificates. Final counts are derived from static data and include out-of-state births to California residents. The data tables include births to residents of California by ZIP Code of residence (by residence).
Note that ZIP Codes are intended for mail delivery routing and do not represent geographic regions. ZIP Codes are subject to change over time and may not represent the same locations between different time periods. All ZIP Codes in the list of California ZIP Codes used for validation are included for all years, but this does not mean that the ZIP Code was in use at that time.
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.
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The dateset is a daily birth count for a tertiary hospital from Nepal. The data contains information about number of births by day and relented maternal and child health characteristicts.
The COVID-19 pandemic resulted in an increase in the global death rate, but had little to no significant impact on birth rates, causing population growth to dip slightly. On a global level, population growth is determined by the difference between the birth and death rate, and this is known as the rate of natural change - on a national or regional level, population change is also affected by migration. Ongoing trends Since the middle of the 20th century, the global birth rate has been well above the global death rate, however, the gap between these figures has grown closer in recent years. The death rate is projected to overtake the birth rate in the 2080s, which means that the world's population will then go into decline. In the future, death rates will increase due to ageing populations across the world and a plateau in life expectancy. Why does this change? There are many reasons for falling death and birth rates in recent decades. Falling death rates have been driven by a reduction in infant and child mortality, as well as increased life expectancy. Falling birth rates were also driven by the reduction in child mortality, whereby mothers would have fewer children as survival rates rose - other factors include the drop in child marriage, improved contraception access and efficacy, and women choosing to have children later in life.
In 2023, the number of births in South Korea stood at 230,028, recording the lowest figure during the given period. Around two decades earlier, this number was twice as high. Declining fertility in South Korea A phenomenon that most East Asian countries and territories grapple with is a stark decline in fertility rates. This is especially evident in South Korea, which has the lowest fertility rate in the world, far below the 2.1 children per woman threshold that represents replacement fertility. In response to the expected economic consequences of a declining population, South Korea has implemented various initiatives to encourage married couples to have children. Factors contributing to low birth rates in South Korea One major element is the societal change in attitudes toward childbirth. In a survey, half of South Korean respondents asserted that marriages can be happy without children, and a sizeable share also stated that having children was dependent on economic factors. In addition, an increasing number of South Koreans are choosing not to get married – In 2023, South Korea recorded one of the lowest numbers of marriages in its history. Furthermore, there has been a growing trend among South Korean women to prioritize their financial independence and career continuity over traditional childbearing expectations.
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The graph illustrates the number of babies born in the United States from 1995 to 2025. The x-axis represents the years, labeled from '95 to '25, while the y-axis shows the annual number of births. Over this 30-year period, birth numbers peaked at 4,316,233 in 2007 and reached a low of 3,596,017 in 2023. The data reveals relatively stable birth rates from 1995 to 2010, with slight fluctuations, followed by a gradual decline starting around 2017. The information is presented in a line graph format, effectively highlighting the long-term downward trend in U.S. birth numbers over the specified timeframe.
Ukraine recorded the lowest number of live births over the past two decades in 2021, measured at about 272 thousand. The live birth count has declined continuously since 2012. Over the period from 2000,the highest number of live births in the country was recorded in 2009, when 512.5 thousand children were born.
This data set contains estimated teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) by county and year.
DEFINITIONS
Estimated teen birth rate: Model-based estimates of teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) for a specific county and year. Estimated county teen birth rates were obtained using the methods described elsewhere (1,2,3,4). These annual county-level teen birth estimates “borrow strength” across counties and years to generate accurate estimates where data are sparse due to small population size (1,2,3,4). The inferential method uses information—including the estimated teen birth rates from neighboring counties across years and the associated explanatory variables—to provide a stable estimate of the county teen birth rate. Median teen birth rate: The middle value of the estimated teen birth rates for the age group 15–19 for counties in a state. Bayesian credible intervals: A range of values within which there is a 95% probability that the actual teen birth rate will fall, based on the observed teen births data and the model.
NOTES
Data on the number of live births for women aged 15–19 years were extracted from the National Center for Health Statistics’ (NCHS) National Vital Statistics System birth data files for 2003–2015 (5).
Population estimates were extracted from the files containing intercensal and postcensal bridged-race population estimates provided by NCHS. For each year, the July population estimates were used, with the exception of the year of the decennial census, 2010, for which the April estimates were used.
Hierarchical Bayesian space–time models were used to generate hierarchical Bayesian estimates of county teen birth rates for each year during 2003–2015 (1,2,3,4).
The Bayesian analogue of the frequentist confidence interval is defined as the Bayesian credible interval. A 100*(1-α)% Bayesian credible interval for an unknown parameter vector θ and observed data vector y is a subset C of parameter space Ф such that 1-α≤P({C│y})=∫p{θ │y}dθ, where integration is performed over the set and is replaced by summation for discrete components of θ. The probability that θ lies in C given the observed data y is at least (1- α) (6).
County borders in Alaska changed, and new counties were formed and others were merged, during 2003–2015. These changes were reflected in the population files but not in the natality files. For this reason, two counties in Alaska were collapsed so that the birth and population counts were comparable. Additionally, Kalawao County, a remote island county in Hawaii, recorded no births, and census estimates indicated a denominator of 0 (i.e., no females between the ages of 15 and 19 years residing in the county from 2003 through 2015). For this reason, Kalawao County was removed from the analysis. Also , Bedford City, Virginia, was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. For consistency, Bedford City was merged with Bedford County, Virginia, for the entire 2003–2015 period. Final analysis was conducted on 3,137 counties for each year from 2003 through 2015. County boundaries are consistent with the vintage 2005–2007 bridged-race population file geographies (7).
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Count of live births represents births to Santa Clara County residents. The measure is summarized for total county population at zip code level. Data trends are from year 2004 to 2013.METADATA:Notes (String): Lists table title, notes, sourcesYear (Numeric): Year of birthZip code (Numeric): Lists zip codes. U.S. Census Bureau, 2000 ZCTA geographies are used.Count (Numeric): Number of live births in a year in the area. Birth count less than 6 in a year in the area are not presented.
Today, globally, women of childbearing age have an average of approximately 2.2 children over the course of their lifetime. In pre-industrial times, most women could expect to have somewhere between five and ten live births throughout their lifetime; however, the demographic transition then sees fertility rates fall significantly. Looking ahead, it is believed that the global fertility rate will fall below replacement level in the 2050s, which will eventually lead to population decline when life expectancy plateaus. Recent decades Between the 1950s and 1970s, the global fertility rate was roughly five children per woman - this was partly due to the post-WWII baby boom in many countries, on top of already-high rates in less-developed countries. The drop around 1960 can be attributed to China's "Great Leap Forward", where famine and disease in the world's most populous country saw the global fertility rate drop by roughly 0.5 children per woman. Between the 1970s and today, fertility rates fell consistently, although the rate of decline noticeably slowed as the baby boomer generation then began having their own children. Replacement level fertility Replacement level fertility, i.e. the number of children born per woman that a population needs for long-term stability, is approximately 2.1 children per woman. Populations may continue to grow naturally despite below-replacement level fertility, due to reduced mortality and increased life expectancy, however, these will plateau with time and then population decline will occur. It is believed that the global fertility rate will drop below replacement level in the mid-2050s, although improvements in healthcare and living standards will see population growth continue into the 2080s when the global population will then start falling.
Number and percentage of live births, by month of birth, 1991 to most recent year.
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<ul style='margin-top:20px;'>
<li>China birth rate for 2024 was <strong>10.48</strong>, a <strong>1.57% decline</strong> from 2023.</li>
<li>China birth rate for 2023 was <strong>10.65</strong>, a <strong>2.36% decline</strong> from 2022.</li>
<li>China birth rate for 2022 was <strong>10.90</strong>, a <strong>2.3% decline</strong> from 2021.</li>
</ul>Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
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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.
Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.
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<ul style='margin-top:20px;'>
<li>World birth rate for 2024 was <strong>17.30</strong>, a <strong>5.9% increase</strong> from 2023.</li>
<li>World birth rate for 2023 was <strong>16.33</strong>, a <strong>1.34% decline</strong> from 2022.</li>
<li>World birth rate for 2022 was <strong>16.56</strong>, a <strong>1.7% decline</strong> from 2021.</li>
</ul>Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.