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.

The total fertility rate of the world has dropped from around 5 children per woman in 1950, to 2.2 children per woman in 2025, which means that women today are having fewer than half the number of children that women did 75 years ago. Replacement level fertility This change has come as a result of the global demographic transition, and is influenced by factors such as the significant reduction in infant and child mortality, reduced number of child marriages, increased educational and vocational opportunities for women, and the increased efficacy and availability of contraception. While this change has become synonymous with societal progress, it does have wide-reaching demographic impact - if the global average falls below replacement level (roughly 2.1 children per woman), as is expected to happen in the 2050s, then this will lead to long-term population decline on a global scale. Regional variations When broken down by continent, Africa is the only region with a fertility rate above the global average, and, alongside Oceania, it is the only region with a fertility rate above replacement level. Until the 1980s, the average woman in Africa could expect to have 6-7 children over the course of their lifetime, and there are still several countries in Africa where women can still expect to have 5 or more children in 2025. Historically, Europe has had the lowest fertility rates in the world over the past century, falling below replacement level in 1975. Europe's population has grown through a combination of migration and increasing life expectancy, however even high immigration rates could not prevent its population from going into decline in 2021.

The statistic shows the 20 countries with the lowest fertility rates in 2024. All figures are estimates. In 2024, the fertility rate in Taiwan was estimated to be at 1.11 children per woman, making it the lowest fertility rate worldwide. Fertility rate The fertility rate is the average number of children born per woman of child-bearing age in a country. Usually, a woman aged between 15 and 45 is considered to be in her child-bearing years. The fertility rate of a country provides an insight into its economic state, as well as the level of health and education of its population. Developing countries usually have a higher fertility rate due to lack of access to birth control and contraception, and to women usually foregoing a higher education, or even any education at all, in favor of taking care of housework. Many families in poorer countries also need their children to help provide for the family by starting to work early and/or as caretakers for their parents in old age. In developed countries, fertility rates and birth rates are usually much lower, as birth control is easier to obtain and women often choose a career before becoming a mother. Additionally, if the number of women of child-bearing age declines, so does the fertility rate of a country. As can be seen above, countries like Hong Kong are a good example for women leaving the patriarchal structures and focusing on their own career instead of becoming a mother at a young age, causing a decline of the country’s fertility rate. A look at the fertility rate per woman worldwide by income group also shows that women with a low income tend to have more children than those with a high income. The United States are neither among the countries with the lowest, nor among those with the highest fertility rate, by the way. At 2.08 children per woman, the fertility rate in the US has been continuously slightly below the global average of about 2.4 children per woman over the last decade.

Graph and download economic data for Fertility Rate, Total for the United States (SPDYNTFRTINUSA) from 1960 to 2023 about fertility, rate, and USA.

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.

The average for 2022 based on 195 countries was 18.38 births per 1000 people. The highest value was in Niger: 45.03 births per 1000 people and the lowest value was in Hong Kong: 4.4 births per 1000 people. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

United States Total Fertility Rate: Black data was reported at 1,581.000 % in 2023. This records a decrease from the previous number of 1,639.000 % for 2022. United States Total Fertility Rate: Black data is updated yearly, averaging 2,062.000 % from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 2,480.000 % in 1990 and a record low of 1,581.000 % in 2023. United States Total Fertility Rate: Black data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G013: Fertility Rate.

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.

Rapid population growth in developing countries in the middle of the 20th century led to fears of a population explosion and motivated the inception of what effectively became a global population-control program. The initiative, propelled in its beginnings by intellectual elites in the United States, Sweden, and some developing countries, mobilized resources to enact policies aimed at reducing fertility by widening contraception provision and changing family-size norms. In the following five decades, fertility rates fell dramatically, with a majority of countries converging to a fertility rate just above two children per woman, despite large cross-country differences in economic variables such as GDP per capita, education levels, urbanization, and female labor force participation. The fast decline in fertility rates in developing economies stands in sharp contrast with the gradual decline experienced earlier by more mature economies. In this paper, we argue that population-control policies likely played a central role in the global decline in fertility rates in recent decades and can explain some patterns of that fertility decline that are not well accounted for by other socioeconomic factors.

Madagascar MG: Fertility Rate: Total: Births per Woman data was reported at 4.184 Ratio in 2016. This records a decrease from the previous number of 4.241 Ratio for 2015. Madagascar MG: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 6.237 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 7.308 Ratio in 1965 and a record low of 4.184 Ratio in 2016. Madagascar MG: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Madagascar – Table MG.World Bank: Health Statistics. 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.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

A flexible model to reconstruct education-specific fertility rates: Sub-saharan Africa case study

The fertility rates are consistent with the United Nation World Population Prospects (UN WPP) 2022 fertility rates.

The Bayesian model developed to reconstruct the fertility rates using Demographic and Health Surveys and the UN WPP is published in a working paper.

Abstract

The future world population growth and size will be largely determined by the pace of fertility decline in sub-Saharan Africa. Correct estimates of education-specific fertility rates are crucial for projecting the future population. Yet, consistent cross-country comparable estimates of education-specific fertility for sub-Saharan African countries are still lacking. We propose a flexible Bayesian hierarchical model to reconstruct education-specific fertility rates by using the patchy Demographic and Health Surveys (DHS) data and the United Nations’ (UN) reliable estimates of total fertility rates (TFR). Our model produces estimates that match the UN TFR to different extents (in other words, estimates of varying levels of consistency with the UN). We present three model specifications: consistent but not identical with the UN, fully-consistent (nearly identical) with the UN, and consistent with the DHS. Further, we provide a full time series of education-specific TFR estimates covering five-year periods between 1980 and 2014 for 36 sub-Saharan African countries. The results show that the DHS-consistent estimates are usually higher than the UN-fully-consistent ones. The differences between the three model estimates vary substantially in size across countries, yielding 1980-2014 fertility trends that differ from each other mostly in level only but in some cases also in direction.

Funding

The data set are part of the BayesEdu Project at Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna) funded from the “Innovation Fund Research, Science and Society” by the Austrian Academy of Sciences (ÖAW).

We provide education-specific total fertility rates (ESTFR) from three model specifications: (1) estimated TFR consistent but not identical with the TFR estimated by the UN (“Main model (UN-consistent)”; (2) estimated TFR fully consistent (nearly identical) with the TFR estimated by the UN ( “UN-fully -consistent”, and (3) estimated TFR consistent only with the TFR estimated by the DHS ( “DHS-consistent”).

For education- and age-specific fertility rates that are UN-fully consistent, please see https://doi.org/10.5281/zenodo.8182960

Variables

Country: Country names

Education: Four education levels, No Education, Primary Education, Secondary Education and Higher Education.

Year: Five-year periods between 1980 and 2015.

ESTFR: Median education-specific total fertility rate estimate

sd: Standard deviation

Upp50: 50% Upper Credible Interval

Lwr50: 50% Lower Credible Interval

Upp80: 80% Upper Credible Interval

Lwr80: 80% Lower Credible Interval

Model: Three model specifications as explained above and in the working paper. DHS-consistent, Main model (UN-consistent) and UN-fully consistent.

List of countries:

Angola, Benin, Burkina Faso, Burundi, Cote D'Ivoire, Cameroon, Central African Republic, Chad, Comoros, Congo, Democratic Republic of Congo, Eswatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mozambique, Namibia, Niger, Nigeria, Rwanda, Senegal, Sierra Leone, South Africa, Tanzania, Togo, Uganda, Zambia, Zimbabwe

Congo, Republic of CG: Fertility Rate: Total: Births per Woman data was reported at 4.157 Ratio in 2023. This records a decrease from the previous number of 4.215 Ratio for 2022. Congo, Republic of CG: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 5.199 Ratio from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 6.444 Ratio in 1972 and a record low of 4.157 Ratio in 2023. Congo, Republic of CG: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. 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.;(1) United Nations Population Division. World Population Prospects: 2024 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

The fertility rate in a country decreases with an increasing income level. For instance, the least developed and low-income countries had the highest fertility rates between 2000 and 2022, with 3.95 and 4.55 children per woman, respectively, as of 2022. On the other hand, high-income and upper-middle-income countries had fertility rates of *** and ****, respectively. Furthermore, fertility rates fell in all the countries worldwide, regardless of income level.

Abstract (en): The ethnographic fieldwork portion of the project - interviews with women of reproductive age, and when available their partners and mothers - was initiated and completed in 2006. For each of four Italian cities (Padua, Bologna, Cagliari, and Naples) studied ethnographically by trained anthropologists, both a working-class and a middle-class neighborhood were identified. These interviews (349 in number) have been transcribed without identifiers. All interviews have been coded and assigned 'attributes' (or nominative variables, such as gender, civil/religious status of marriage, etc.) using the qualitative data analysis software (NVIVO), and these reside in secure electronic project folders. This large body of qualitative interview data is now complete and ready for use across the international collaborative units. Preliminary research reveals the particular significance of family ties in Italy, the fundamental role played by gender systems, and the specific cultural, socio-economic, and politic contexts in which fertility behavior and parenting are embedded. Please see the study website for more information. The surprisingly deep drop in Italian birth rates to among the lowest in the world (total fertility rate of 1.3 or below) has dramatically challenged existing social science theory by appearing to contradict population experts' predictions of where such very low "below replacement" fertility would emerge. This interdisciplinary research project, known as "ELFI" (Explaining Low Fertility in Italy), has made considerable inroads into understanding the puzzle of "lowest-low" Italian fertility, reevaluating theories of reproduction and human behavior more generally. Through the use of innovative methodologies, an international team of collaborators from anthropology, sociology, and demography has produced key findings using both statistical, quantitative methods and extensive ethnographic, qualitative methods. Four Italian cities were studied ethnographically by trained anthropologists. In each, both a working-class and a middle-class neighborhood were identified, and participants were selected. Women of reproductive age in four Italian cities (Padua, Bologna, Cagliari, and Naples). Smallest Geographic Unit: city Anthropologists selected 50 women aged 23-45 in each of four Italian cities. Half of these women were of younger reproductive ages (23-32) and half from older ages (33-45). In addition, in each cohort, half of the women were from a working-class neighborhood and half from a middle-class neighborhood, of varying levels of education and parity. Interviews were also conducted (when possible) with the woman's mother and with the woman's husband or cohabiting partner. The interviewees were selected through personal contacts identified through an indirect snowballing procedure with multiple entries (independently selected initial contacts) in order to avoid a clustered sample. The final sample of interviews consists of 233 women (aged 23-45), 49 mothers, and 67 partners, for a total of 349 interviews. The indirect snowball sampling procedure allowed us to stratify the sample by age, parity, and marital status of the woman in order to maximize variation in socio-demographic characteristics. To facilitate analysis, each of the 349 interviews was recorded, transcribed, and examined using the computer program Nvivo8. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD048715). National Science Foundation (BCS 0418443). face-to-face interviewAccording to the principal investigator, direct identifiers have been removed. But the transcripts are in Italian, so we were not able to determine the potential for indirect identifiers. As such, the data is restricted.

Korea Fertility Rate: Total: Births per Woman data was reported at 1.172 Ratio in 2016. This records a decrease from the previous number of 1.239 Ratio for 2015. Korea Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.656 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 6.095 Ratio in 1960 and a record low of 1.076 Ratio in 2005. Korea Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. 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.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

Austria AT: Total Fertility Rate: Children per Woman data was reported at 1.320 Person in 2023. This records a decrease from the previous number of 1.410 Person for 2022. Austria AT: Total Fertility Rate: Children per Woman data is updated yearly, averaging 1.435 Person from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 1.530 Person in 2016 and a record low of 1.320 Person in 2023. Austria AT: Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Austria – Table AT.OECD.GGI: Social: Demography: OECD Member: Annual.

Niger had the highest birth rate in the world in 2024, with a birth rate of 46.6 births per 1,000 inhabitants. Angola, Benin, Mali, and Uganda followed. Except for Afghanistan, all 20 countries with the highest birth rates in the world were located in Sub-Saharan Africa. High infant mortality The reasons behind the high birth rates in many Sub-Saharan African countries are manyfold, but a major reason is that infant mortality remains high on the continent, despite decreasing steadily over the past decades, resulting in high birth rates to counter death rates. Moreover, many nations in Sub-Saharan Africa are highly reliant on small-scale farming, meaning that more hands are of importance. Additionally, polygamy is not uncommon in the region, and having many children is often seen as a symbol of status. Fastest-growing populations As the high fertility rates coincide with decreasing death rates, countries in Sub-Saharan Africa have the highest population growth rates in the world. As a result, Africa's population is forecast to increase from 1.4 billion in 2022 to over 3.9 billion by 2100.

Sweden Vital Statistics: Fertility Rate: Male data was reported at 1.630 % in 2017. This records a decrease from the previous number of 1.710 % for 2016. Sweden Vital Statistics: Fertility Rate: Male data is updated yearly, averaging 1.690 % from Dec 1970 (Median) to 2017, with 48 observations. The data reached an all-time high of 1.990 % in 1990 and a record low of 1.400 % in 1999. Sweden Vital Statistics: Fertility Rate: Male data remains active status in CEIC and is reported by Statistics Sweden. The data is categorized under Global Database’s Sweden – Table SE.G006: Vital Statistics.

This map service, derived from World Bank data, shows various characteristics of the Health topic. The World Bank Group provides financing, state-of-the-art analysis, and policy advice to help countries expand access to quality, affordable health care; protects people from falling into poverty or worsening poverty due to illness; and promotes investments in all sectors that form the foundation of healthy societies.Age Dependency Ratio: Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. Data from 1960 – 2012.Age Dependency Ratio Old: Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. Data from 1960 – 2012.Birth/Death Rate: Crude birth/death rate indicates the number of births/deaths 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. Data spans from 1960 – 2008.Total Fertility: 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 current age-specific fertility rates. Data shown is for 1960 - 2008.Population Growth: Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage.
Population is based on the de facto definition of population, which
counts all residents regardless of legal status or citizenship--except
for refugees not permanently settled in the country of asylum, who are
generally considered part of the population of the country of origin. Data spans from 1960 – 2009.Life Expectancy: Life expectancy at birth indicates the number of years a newborn infant
would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. Data spans from 1960 – 2008.Population Female: Female population is the percentage of the population that is female. Population is based on the de facto definition of population. Data from 1960 – 2009.For more information, please visit: World Bank Open Data. _Other International User Community content that may interest you World Bank World Bank Age World Bank Health

Snapshot img

Infertility Treatment Devices Market Size 2024-2028

The infertility treatment devices market size is forecast to increase by USD 682.6 billion at a CAGR of 6.7% between 2023 and 2028.

The market is experiencing significant growth due to several key factors. The prevalence of infertility is on the rise, driven by various lifestyle and health factors. Moreover, an emerging trend of delayed pregnancies among women is leading to a higher demand for infertility treatment devices. However, ethical, legal, and social concerns regarding infertility treatments pose challenges to market growth. These issues include ethical debates around the use of assisted reproductive technologies, legal regulations governing their use, and social stigma surrounding infertility and its treatments. Despite these challenges, the market is expected to continue growing as advancements in technology and increasing awareness of infertility issues drive innovation and demand for effective treatment solutions.

What will be the Size of the Infertility Treatment Devices Market During the Forecast Period?

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The market encompasses a range of diagnostic and assisted reproductive technologies (ART), including in vitro fertilization (IVF), that aim to address infertility issues. The prevalence of infertility, driven by factors such as lifestyle changes, female fertility concerns, and conditions like polycystic ovary syndrome, continues to fuel market growth. ART operations, including fertility clinics, employ advanced technologies like microfluidic chip-based devices for sperm sorting and other procedures. Social and cultural implications, insurance coverage, and mobility constraints influence the market dynamics. Regulatory authorities closely scrutinize patent applications and the safety and efficacy of infertility treatment products. The incidence of infertility, driven by declining fertility rates, fuels the demand for these devices.Medical tourism also plays a role, with some individuals traveling to countries with more lenient regulations or lower costs. Assisted reproductive technology continues to evolve, offering new possibilities for those seeking to overcome infertility.

How is this Infertility Treatment Devices Industry segmented and which is the largest segment?

The infertility treatment devices industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ProductDevicesMediaAccessoriesGeographyAsiaSingaporeThailandNorth AmericaUSEuropeRest of World (ROW)

By Product Insights

The devices segment is estimated to witness significant growth during the forecast period.

The market is driven by several factors, including the rise in infertility prevalence, the success rate of infertility treatment procedures, investments in advanced IVF products, and increasing demand for technologically advanced devices. The devices segment is expected to dominate the market due to these factors, with geographical regions such as North America and Europe leading in market growth. The infertility rate in men and women, growing awareness about assisted reproductive technologies (ART), adoption of advanced technologies by healthcare authorities, and economic stability are key drivers In these regions. Infertility treatment devices, including sperm separation devices, ovum aspiration pumps, sperm analyzer systems, micromanipulator systems, and incubators, are essential tools for ART procedures and are in high demand.

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The Devices segment was valued at USD 825.60 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

Asia is estimated to contribute 49% to the growth of the global market during the forecast period.

Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market in Asia is poised for growth due to several factors, including the rising prevalence of infertility, medical tourism, enhanced healthcare infrastructure, and increasing adoption of advanced technologies. The region's infertility rate is on the rise, attributed to lifestyle changes, the emergence of fertility-related diseases, and escalating stress levels. Infertility treatment devices, such as microfluidic chip-based devices for sperm sorting, are increasingly being adopted in fertility clinics to enhance success rates. Despite ethical and legal concerns regarding surrogacy and embryo transfers, Asia's infertility treatment market is gaining global recognition. The