In 2025, there are six countries, all in Sub-Saharan Africa, where the average woman of childbearing age can expect to have between 5-6 children throughout their lifetime. In fact, of the 20 countries in the world with the highest fertility rates, Afghanistan and Yemen are the only countries not found in Sub-Saharan Africa. High fertility rates in Africa With a fertility rate of almost six children per woman, Chad is the country with the highest fertility rate in the world. Population growth in Chad is among the highest in the world. Lack of healthcare access, as well as food instability, political instability, and climate change, are all exacerbating conditions that keep Chad's infant mortality rates high, which is generally the driver behind high fertility rates. This situation is common across much of the continent, and, although there has been considerable progress in recent decades, development in Sub-Saharan Africa is not moving as quickly as it did in other regions. Demographic transition While these countries have the highest fertility rates in the world, their rates are all on a generally downward trajectory due to a phenomenon known as the demographic transition. The third stage (of five) of this transition sees birth rates drop in response to decreased infant and child mortality, as families no longer feel the need to compensate for lost children. Eventually, fertility rates fall below replacement level (approximately 2.1 children per woman), which eventually leads to natural population decline once life expectancy plateaus. In some of the most developed countries today, low fertility rates are creating severe econoic and societal challenges as workforces are shrinking while aging populations are placin a greater burden on both public and personal resources.

Chile birth rate for 2025 is 11.32, a 1.44% decline from 2024.

<ul style='margin-top:20px;'>

<li>Chile birth rate for 2024 was <strong>11.49</strong>, a <strong>1.42% decline</strong> from 2023.</li>
<li>Chile birth rate for 2023 was <strong>11.65</strong>, a <strong>1.37% decline</strong> from 2022.</li>
<li>Chile birth rate for 2022 was <strong>11.82</strong>, a <strong>1.36% 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.

Turkey fertility rate for 2025 is 1.97, a 0.71% decline from 2024.

<ul style='margin-top:20px;'>

<li>Turkey fertility rate for 2024 was <strong>1.98</strong>, a <strong>31.13% increase</strong> from 2023.</li>
<li>Turkey fertility rate for 2023 was <strong>1.51</strong>, a <strong>7.36% decline</strong> from 2022.</li>
<li>Turkey fertility rate for 2022 was <strong>1.63</strong>, a <strong>4.68% decline</strong> from 2021.</li>
</ul>Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.

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.

Georgia birth rate for 2025 is 11.85, a 1.42% decline from 2024.

<ul style='margin-top:20px;'>

<li>Georgia birth rate for 2024 was <strong>12.02</strong>, a <strong>1.4% decline</strong> from 2023.</li>
<li>Georgia birth rate for 2023 was <strong>12.19</strong>, a <strong>2.25% decline</strong> from 2022.</li>
<li>Georgia birth rate for 2022 was <strong>12.47</strong>, a <strong>2.2% 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.

In April 2025, there were around 6.7 percent less births recorded in Germany than the same month a year before. Monthly birth rates were declining year-on-year, except for February and April 2024.

Historical chart and dataset showing Malaysia fertility rate by year from 1950 to 2025.

Eswatini birth rate for 2025 is 23.65, a 1.1% decline from 2024.

<ul style='margin-top:20px;'>

<li>Eswatini birth rate for 2024 was <strong>23.92</strong>, a <strong>0.65% decline</strong> from 2023.</li>
<li>Eswatini birth rate for 2023 was <strong>24.07</strong>, a <strong>2.19% decline</strong> from 2022.</li>
<li>Eswatini birth rate for 2022 was <strong>24.61</strong>, a <strong>1.39% 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.

Lithuania birth rate for 2025 is 9.48, a 1.84% decline from 2024.

<ul style='margin-top:20px;'>

<li>Lithuania birth rate for 2024 was <strong>9.66</strong>, a <strong>1.81% decline</strong> from 2023.</li>
<li>Lithuania birth rate for 2023 was <strong>9.84</strong>, a <strong>1% decline</strong> from 2022.</li>
<li>Lithuania birth rate for 2022 was <strong>9.94</strong>, a <strong>0.99% 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.

The South Korean government allocated about **** trillion South Korean won to address the declining fertility rate, which was a ** percent increase compared to the previous year's budget. The budget was mainly allocated to support housing and related issues, followed by policies to improve work-family balance.

Following a spike to 2.5 children per woman in the mid-1960s (during the second wave of the post-WWII baby boom), Germany's fertility rate then fell sharply to around 1.5 children per woman in the 1970s, and it has fluctuated between 1.2 and 1.6 children per woman ever since. Germany's fertility rate has been below the natural replacement level of roughly 2.1 children per woman since 1970, meaning that long-term natural population growth is unsustainable. In fact, Germany has experienced a natural population decline in every year since 1972, and its population has only grown or been sustained at its current level through high net immigration rates.Find more statistics on other topics about Germany with key insights such as crude birth rate, life expectancy of women at birth, and total life expectancy at birth.

Thailand fertility rate for 2025 is 1.44, a 0.62% decline from 2024.

<ul style='margin-top:20px;'>

<li>Thailand fertility rate for 2024 was <strong>1.45</strong>, a <strong>19.8% increase</strong> from 2023.</li>
<li>Thailand fertility rate for 2023 was <strong>1.21</strong>, a <strong>0.74% decline</strong> from 2022.</li>
<li>Thailand fertility rate for 2022 was <strong>1.22</strong>, a <strong>1.05% decline</strong> from 2021.</li>
</ul>Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.

About this dataset

Context

The dataset tabulates the data for the San Jose, CA population pyramid, which represents the San Jose population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for San Jose, CA, is 24.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for San Jose, CA, is 20.5.
• Total dependency ratio for San Jose, CA is 45.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for San Jose, CA is 4.9.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the San Jose population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the San Jose for the selected age group is shown in the following column.
• Population (Female): The female population in the San Jose for the selected age group is shown in the following column.
• Total Population: The total population of the San Jose for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for San Jose Population by Age. You can refer the same here

In 2025, the total fertility rate in Europe was estimated to be 1.41 births per woman compared with 2.7 in 1950. The fertility rate in Europe fell considerably between 1957 and 1999, falling from 2.62 to 1.4.

Germany's death rate has exceeded its death rate in every year since 1972, meaning that its population has been in a natural decline for over five decades. However, Germany's population has remained fairly stable at over 80 million during this period, due to the influence of immigration.Find more statistics on other topics about Germany with key insights such as life expectancy of women at birth, total life expectancy at birth, and total fertility rate.

About this dataset

Context

The dataset tabulates the data for the Exeter, PA population pyramid, which represents the Exeter population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Exeter, PA, is 27.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Exeter, PA, is 44.9.
• Total dependency ratio for Exeter, PA is 72.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Exeter, PA is 2.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Exeter population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Exeter for the selected age group is shown in the following column.
• Population (Female): The female population in the Exeter for the selected age group is shown in the following column.
• Total Population: The total population of the Exeter for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Exeter Population by Age. You can refer the same here

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.

About this dataset

Context

The dataset tabulates the data for the San Francisco, CA population pyramid, which represents the San Francisco population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for San Francisco, CA, is 16.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for San Francisco, CA, is 24.1.
• Total dependency ratio for San Francisco, CA is 40.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for San Francisco, CA is 4.1.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the San Francisco population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the San Francisco for the selected age group is shown in the following column.
• Population (Female): The female population in the San Francisco for the selected age group is shown in the following column.
• Total Population: The total population of the San Francisco for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for San Francisco Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Milton, NC population pyramid, which represents the Milton population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Milton, NC, is 30.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Milton, NC, is 81.3.
• Total dependency ratio for Milton, NC is 112.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Milton, NC is 1.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Milton population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Milton for the selected age group is shown in the following column.
• Population (Female): The female population in the Milton for the selected age group is shown in the following column.
• Total Population: The total population of the Milton for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Milton Population by Age. You can refer the same here

Although fluctuating between 2000 and 2025, fertility rates generally decreased in all G7 countries in recent years. Italy and Japan were estimated to have the lowest fertility rates as of 2025, at *** children per woman of childbearing age. On the other hand, France had the highest rate at *** children. Interestingly, in Germany, the fertility rate was at the same level as Japan and Italy, but started to increase in 2013 and has remained slightly higher since. The fertility rate displays the average number of children a woman of child-bearing age in a country would have if she were to live to the end of her reproductive age.