Total fertility rate

Number of children a woman is expected to have barring select circumstances

Not to be confused with birth rate.

A 2023 map of countries by fertility rate. Blue indicates negative fertility rates. Red indicates positive rates.

The total fertility rate (TFR) of a population is the average number of children that are born to a woman over her lifetime, if they were to experience the exact current age-specific fertility rates (ASFRs) through their lifetime, and they were to live from birth until the end of their reproductive life.

As of 2023, the total fertility rate varied widely across the world, from 0.72 in South Korea, to 6.73 in Niger.

Fertility tends to be inversely correlated with levels of economic development. Historically, developed countries have significantly lower fertility rates, generally correlated with greater wealth, education, urbanization, and other factors. Conversely, in least developed countries, fertility rates tend to be higher. Families desire children for their labor and as caregivers for their parents in old age. Fertility rates are also higher due to the lack of access to contraceptives, generally lower levels of female education, and lower rates of female employment. It does not significantly correlate with any particular religion.

The United Nations predicts that global fertility will continue to decline for the remainder of this century and reach a below-replacement level of 1.8 by 2100, and that world population will peak in the period 2084–2088.

## Parameter characteristics

[edit]

The Total Fertility Rate (TFR) is not based on the actual fertility of a specific group of women, as that would require waiting until they have completed childbearing. It also does not involve counting the total number of children born over their lifetime. Instead, the TFR is based on the age-specific fertility rates of women in their "child-bearing years," typically considered to be ages 15–44 in international statistical usage.

The TFR is a measure of the fertility of an imaginary woman who experiences the age-specific fertility rates for ages 15–49 that were recorded for a specific population in a given year. It represents the average number of children a woman would potentially have if she were to go through all her childbearing years in a single year, subject to the age-specific fertility rates for that year. In simpler terms, the TFR is the number of children a woman would have if she were to experience the prevailing fertility rates at all ages from a single given year and survived throughout her childbearing years.

## Related parameters

[edit]

### Net reproduction rate

[edit]

The total fertility rate for selected countries, 2010 [needs update]

An alternative measure of fertility is the net reproduction rate (NRR), which calculates the number of daughters a female would have in her lifetime if she were subject to prevailing age-specific fertility and mortality rates in a given year. When the NRR is exactly 1, each generation of females is precisely replacing itself.

The NRR is not as commonly used as the TFR, but it is particularly relevant in cases where the number of male babies born is very high due to gender imbalance and sex selection. This is a significant consideration in world population dynamics, especially given the high level of gender imbalance in the heavily populated nations of China and India. The gross reproduction rate (GRR) is the same as the NRR, except that, like the TFR, it disregards life expectancy.[citation needed]

### Total period fertility rate

[edit]

The TFR, sometimes called TPFR—total period fertility rate, is a better index of fertility than the crude birth rate (annual number of births per thousand population) because it is independent of the age structure of the population, but it is a poorer estimate of actual completed family size than the total cohort fertility rate, which is obtained by summing the age-specific fertility rates that actually applied to each cohort as they aged through time.

In particular, the TFR does not necessarily predict how many children young women now will eventually have, as their fertility rates in years to come may change from those of older women now. However, the TFR is a reasonable summary of current fertility levels. TFR and long term population growth rate, g, are closely related. For a population structure in a steady state, growth rate equals  log ⁡ ( T F R / 2 ) / X m {\displaystyle \log(\mathrm {TFR} /2)/X_{m}} , where  X m {\displaystyle X_{m}} is the mean age for childbearing women.[citation needed]

#### Tempo effect

[edit]

Further information: Sub-replacement fertility § Tempo effect

The TPFR (total period fertility rate) is affected by a tempo effect—if age of childbearing increases, and life cycle fertility is unchanged, then while the age of childbearing is increasing, TPFR will be lower, because the births are occurring later, and then the age of childbearing stops increasing, the TPFR will increase, due to the deferred births occurring in the later period, even though the life cycle fertility has been unchanged. In other words, the TPFR is a misleading measure of life cycle fertility when childbearing age is changing, due to this statistical artifact. This is a significant factor in some countries, such as the Czech Republic and Spain in the 1990s. Some measures seek to adjust for this timing effect to gain a better measure of life-cycle fertility.[citation needed]

### Replacement rates

[edit]

Further information: Sub-replacement fertility

Replacement fertility is the total fertility rate at which women give birth to enough babies to sustain population levels, assuming that mortality rates remain constant and net migration is zero.[1] If replacement level fertility is sustained over a sufficiently long period, each generation will exactly replace itself.[1] In 2003, the replacement fertility rate was 2.1 births per female for most developed countries (2.1 in the UK, for example), but can be as high as 3.5 in undeveloped countries because of higher mortality rates, especially child mortality.[2] The global average for the replacement total fertility rate, eventually leading to a stable global population, for 2010–2015, was 2.3 children per female.[2][3]

## Lowest-low fertility

[edit]

The term lowest-low fertility is defined as a TFR at or below 1.3.[4] Lowest-low fertility is found almost exclusively within East Asian countries and Southern European countries. The East Asian American community in the United States also exhibits lowest-low fertility.[5] At one point in the late 20th century and early 21st century this was also observed in Eastern and Southern Europe. Since then, the fertility rate has risen in most countries of Europe.[6]

The lowest TFR recorded anywhere in the world in recorded history, is for the Xiangyang district of Jiamusi city (Heilongjiang, China) which had a TFR of 0.41 in 2000.[7] Outside China, the lowest TFR ever recorded was 0.80 for Eastern Germany in 1994. The low Eastern German value was influenced by a change to higher maternal age at birth, with the consequence that neither older cohorts (e.g. women born until the late 1960s), who often already had children, nor younger cohorts, who were postponing childbirth, had many children during that time. The total cohort fertility rate of each age cohort of women in East Germany did not drop as significantly.[8]

## Population-lag effect

[edit]

A plot of population growth rate vs total fertility rate (logarithmic), 2014. Symbol radius reflects the population size each country

A population that maintained a TFR of 3.8 over an extended period, without a correspondingly high death or emigration rate, would increase rapidly, doubling period ~ 32 years. A population that maintained a TFR of 2.0 over a long time would decrease, unless it had a large enough immigration.

It may take several generations for a change in the total fertility rate to be reflected in birth rate, because the age distribution must reach equilibrium. For example, a population that has recently dropped below replacement-level fertility will continue to grow, because the recent high fertility produced large numbers of young couples, who would now be in their childbearing years.[citation needed]

This phenomenon carries forward for several generations and is called population momentum, population inertia, or population-lag effect. This time-lag effect is of great importance to the growth rates of human populations.[citation needed]

TFR (net) and long-term population growth rate, g, are closely related. For a population structure in a steady state and with zero migration,  g = log ⁡ ( TFR / 2 ) X m {\textstyle g={\tfrac {\log({\text{TFR}}/2)}{{\text{X}}_{m}}}} , where  X m {\displaystyle {\text{X}}_{m}} is mean age for childbearing women and thus  P ( t ) = P ( 0 ) ( g t ) {\textstyle P(t)=P(0)^{(gt)}} . At the left side is shown the empirical relation between the two variables in a cross-section of countries with the most recent y-y growth rate.

The parameter  1 b {\textstyle {\tfrac {1}{b}}} should be an estimate of the  X m {\displaystyle {\text{X}}_{m}} ; here equal to  1 0.02 = 50 {\textstyle {\tfrac {1}{0.02}}=50} years, way off the mark because of population momentum. E.g. for  log ( TFR 2 ) = 0 {\textstyle {\log }({\tfrac {\text{TFR}}{2}})=0} , g should be exactly zero, which is seen not to be the case.[citation needed]

## Influencing factors

[edit]

Main article: Fertility factor (demography)

Further information: Sub-replacement fertility

Total fertility rate vs Human Development Index for selected countries, 2011 Niger has the highest TFR in the world at 6.73, in 2023.[9]

Fertility factors are determinants of the number of children that an individual is likely to have. Fertility factors are mostly positive or negative correlations without certain causations.[citation needed]

Factors generally associated with increased fertility include the intention to have children, very high level of gender inequality, inter-generational transmission of values, marriage and cohabitation, maternal and social support, rural residence, pro family government programs, low IQ and increased food production.[citation needed]

Factors generally associated with decreased fertility include rising income, value and attitude changes, education, female labor participation, population control, age, contraception, partner reluctance to having children, a low level of gender inequality, and infertility. The effect of all these factors can be summarized with a plot of total fertility rate against Human Development Index (HDI) for a sample of countries. The chart shows that the two factors are inversely correlated, that is, in general, the lower a country's HDI the higher its fertility.[citation needed]

Another common way of summarizing the relationship between economic development and fertility is a plot of TFR against per capita GDP, a proxy for standard of living. This chart shows that per capita GDP is also inversely correlated with fertility.[citation needed]

The impact of human development on TFR can best be summarized by a quote from Karan Singh, a former minister of population in India. At a 1974 United Nations population conference in Bucharest, he said "Development is the best contraceptive."[10]

Total fertility rate vs per capita GDP for selected countries, 2016. Population size shown as bubble area. 30 largest countries in bold.[11][12][13]

Wealthy countries, those with high per capita GDP, usually have a lower fertility rate than poor countries, those with low per capita GDP. This may seem counter-intuitive. The inverse relationship between income and fertility has been termed a demographic-economic paradox because evolutionary biology suggests that greater means should enable the production of more offspring, not fewer.[citation needed]

Many of these factors may differ by region and social class. For instance, Scandinavian countries and France are among the least religious in the EU, but have the highest TFR, while the opposite is true about Portugal, Greece, Cyprus, Poland and Spain.[14]

## National efforts to increase or decrease fertility

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Governments have often set population targets, to either increase or decrease the total fertility rate, or to have certain ethnic or socioeconomic groups have a lower or higher fertility rate. Often such policies have been interventionist, and abusive. The most notorious natalist policies of the 20th century include those in communist Romania and communist Albania, under Nicolae Ceaușescu and Enver Hoxha respectively.[15]

The natalist policy in Romania between 1967 and 1989 was very aggressive, including outlawing abortion and contraception, routine pregnancy tests for women, taxes on childlessness, and legal discrimination against childless people. It resulted in large numbers of children put into Romanian orphanages by parents who could not cope with raising them, street children in the 1990s, when many orphanages were closed and the children ended up on the streets, overcrowding in homes and schools, and over 9,000 women who died due to illegal abortions.[15]

Conversely, in China the government sought to lower the fertility rate, and, as such, enacted the one-child policy (1978–2015), which included abuses such as forced abortions.[16] In India, during the national emergency of 1975, a massive compulsory sterilization drive was carried out in India, but it is considered to be a failure and is criticized for being an abuse of power.[according to whom?]

Some governments have sought to regulate which groups of society could reproduce through eugenic policies, including forced sterilizations of population groups they considered undesirable. Such policies were carried out against ethnic minorities in Europe and North America in the first half of the 20th century, and more recently in Latin America against the Indigenous population in the 1990s; in Peru, former President Alberto Fujimori has been accused of genocide and crimes against humanity as a result of a sterilization program put in place by his administration targeting indigenous people (mainly the Quechua and Aymara people).[17]

Within these historical contexts, the notion of reproductive rights has developed. Such rights are based on the concept that each person freely decides if, when, and how many children to have - not the state or religion. According to the Office of the United Nations High Commissioner for Human Rights, reproductive rights "rest on the recognition of the basic rights of all couples and individuals to decide freely and responsibly the number, spacing and timing of their children and to have the information and means to do so, and the right to attain the highest standard of sexual and reproductive health. It also includes the right to make decisions concerning reproduction free of discrimination, coercion and violence, as expressed in human rights documents".[18]

## History and future projections

[edit]

From around 10,000 BC to the beginning of the Industrial Revolution, fertility rates around the world were high by 21st-century standards. The onset of the Industrial Revolution around 1800 AD brought about what has come to be called the demographic transition, and the TFR began a long-term decline in almost every region of the world. This has continued in the 21st century.[citation needed]

### Before 1800

[edit]

Because all nations before the Industrial Revolution found themselves in what is now labeled the Malthusian Trap,[clarification needed] improvements in standards of living could be achieved only by reductions in population growth through either increases in mortality rates (via wars, plagues, famines, etc) or reductions in birth rates.[19]: 76 Child mortality could reach 50% and the need to produce workers, male heirs, and old-age caregivers required a high fertility rate by 21st-century standards.[citation needed]

For example, fertility rates in Europe before 1800 ranged from 4.5 in Scandinavia to 6.2 in Belgium.[19]: 76 In 1800, the TFR in the United States was 7.0.[20] Fertility rates in Asia during this period were similar to those in Europe.[19]: 74 In spite of these high fertility rates, global population growth was still very slow, about 0.04% per year, mostly due to high mortality rates and the equally slow growth in the production of food.[citation needed]

### 1800 to 1950

[edit]

After 1800, the Industrial Revolution began in some places, particularly Great Britain, continental Europe, and the United States, and they underwent the beginnings of what is now called the demographic transition. Stage two of this process fueled a steady reduction in mortality rates due to improvements in public sanitation, personal hygiene and the food supply, which reduced the number of famines.[citation needed]

These reductions in mortality rates, particularly reductions in child mortality, that increased the fraction of children surviving, plus other major societal changes such as urbanization, led to stage three of the demographic transition. There was a reduction in fertility rates, because there was simply no longer a need to birth so many children.[19]: 294

The example from the US of the correlation between child mortality and the fertility rate is illustrative. In 1800, child mortality in the US was 33%, meaning that one third of all children born would die before their fifth birthday. The TFR in 1800 was 7.0, meaning that the average female would bear seven children during their lifetime. In 1900, child mortality in the US had declined to 23%, a reduction of almost one third, and the TFR had declined to 3.9, a reduction of 44%. By 1950, child mortality had declined dramatically to 4%, a reduction of 84%, and the TFR declined to 3.2. By 2018, child mortality had declined further to 0.6% and the TFR declined to 1.9, below replacement level.[21]

### 1950 to the present and projections

[edit]

The Total Fertility Rate for six regions and the World, 1950-2100

The table[22] shows that after 1965, the demographic transition spread around the world, and the global TFR began a long decline that continues in the 21st century.

World historical TFR (1950–2020) |  |

|
|

Years | Global Average  | More developed regions  | Less developed regions
1950–1955  | 4.86  | 2.84  | 5.94
1955–1960  | 5.01  | 2.75  | 6.15
1960–1965  | 4.70  | 2.71  | 5.64
1965–1970  | 5.08  | 2.51  | 6.23
1970–1975  | 4.83  | 2.32  | 5.87
1975–1980  | 4.08  | 2.01  | 4.88
1980–1985  | 3.75  | 1.89  | 4.40
1985–1990  | 3.52  | 1.82  | 4.03
1990–1995  | 3.31  | 1.78  | 3.71
1995–2000  | 2.88  | 1.58  | 3.18
2000–2005  | 2.73  | 1.57  | 2.98
2005–2010  | 2.62  | 1.61  | 2.81
2010–2015  | 2.59  | 1.69  | 2.74
2015–2020  | 2.52  | 1.67  | 2.66
2020-

2025

| 2.35  | 1.51  | 2.47

The chart shows that the decline in the TFR since the 1960s has occurred in every region of the world. The global TFR is projected to continue declining for the remainder of the century, and reach a below-replacement level of 1.8 by 2100.[23][24]

In 2022, the global TFR was 2.3.[25] Because the global fertility replacement rate for 2010–2015 was 2.3, humanity has achieved or is approaching a significant milestone where the fertility rate is equal to the replacement rate.[citation needed]

## By region

[edit]

Main article: List of countries by total fertility rate

The total fertility rate in OECD countries, 2023

The United Nations Population Division divides the world into six geographical regions. The table below shows the estimated TFR for each region.[22]

Region  | TFR

(2015-2020)

|

Africa | 4.4
Asia | 2.2
Europe | 1.6
Latin America and the Caribbean | 2.0
Northern America | 1.8
Oceania | 2.4

In 2013, the TFR of Europe, Latin America and the Caribbean, and Northern America were below the global replacement-level fertility rate of 2.1 children per female.[26]

A map of when European fertility rates fell below replacement levels

### Africa

[edit]

Africa has a TFR of 4.4, the highest in the world.[22] Angola, Benin, DR Congo, Mali, and the Niger have the highest TFR.[9] In 2023, the most populous country in Africa, Nigeria, had an estimated TFR of 4.57.[9] In 2023, the second most populous African country, Ethiopia, had an estimated TFR of 3.92.[9]

The poverty of Africa, and the high maternal mortality and infant mortality had led to calls from WHO for family planning, and the encouragement of smaller families.[27]

### Asia

[edit]

#### Eastern Asia

[edit]

A map of East Asia by total fertility rate (TFR), 2021

Hong Kong, Macau, Singapore, South Korea, and Taiwan have the lowest-low fertility, defined as TFR at or below 1.3, and are among the lowest in the world.[22] In 2004, Macau had a TFR below 1.0.[28] In 2018, North Korea had the highest TFR in East Asia, at 1.95.[22]

##### China

[edit]

Further information: Aging of China

In 2022, China's TFR was 1.09.[29] China implemented the one-child policy in January 1979 as a drastic population planning measure to control the ever-growing population at the time. In January 2016, the policy was replaced with the two-child policy. In July 2021, a three-child policy was introduced, as China's population is aging faster than almost any other country in modern history.[30]

##### Japan

[edit]

Further information: Aging of Japan

In 2022, Japan had a TFR of 1.26.[31] Japan's population is rapidly aging due to both a long life expectancy and a low birth rate. The total population is shrinking, losing 430,000 in 2018, to a total of 126.4 million.[32] Hong Kong and Singapore mitigate this through immigrant workers. In Japan, a serious demographic imbalance has developed, partly due to limited immigration to Japan.[citation needed]

##### South Korea

[edit]

Further information: Aging of South Korea

In South Korea, a low birthrate is one of its most urgent socio-economic challenges.[33] Rising housing expenses, shrinking job opportunities for younger generations, insufficient support to families with newborns either from the government or employers are among the major explanations for its crawling TFR, which fell to 0.92 in 2019.[34] Koreans are yet to find viable solutions to make the birthrate rebound, even after trying out dozens of programs over a decade, including subsidizing rearing expenses, giving priorities for public rental housing to couples with multiple children, funding day care centers, reserving seats in public transportation for pregnant women, and so on.

In the past 20 years, South Korea has recorded some of the lowest fertility and marriage levels in the world. As of 2022, South Korea is the country with the world's lowest[35] total fertility rate, at 0.78. In 2022, the TFR of the capital Seoul was 0.57.[36]

#### Southern Asia

[edit]

##### Bangladesh

[edit]

The fertility rate fell from 6.8 in 1970–1975, to 2.0 in 2020, an interval of about 47 years, or a little less than two generations.[37][38]

##### India

[edit]

The Indian fertility rate has declined significantly over the early 21st century. The Indian TFR declined from 5.2 in 1971 to 2.2 in 2018.[39] The TFR in India declined to 2.0 in 2019-2020, marking the first time it has gone below replacement level.[40] In 2023, the TFR in India declined to an all time low of 1.9

##### Iran

[edit]

In the Iranian calendar year (March 2019 – March 2020), Iran's total fertility rate fell to 1.8.[41]

#### Western Asia

[edit]

In 2019, the TFR of Turkey reached 1.88.[42]

### Europe

[edit]

Main article: Ageing of Europe

See also: Aging of Russia

Total fertility rate in Europe by region/province/federal subject in 1960

Country | Region/Province/Federal Subject | Total Fertility Rate (1960)

|
|

Kosovo | Kosovo | 6.70
Albania | Albania | 6.50
Italy | Campania | 3.61
Spain | Andalusia | 3.54
Italy | Calabria | 3.52
Spain | Extremadura | 3.48
Italy | Sicily | 3.45
Romania | Moldova region | 3.26
United Kingdom | Northern Ireland | 3.23
Poland | Subcarpathian Voivodeship | 3.18
United Kingdom | Scotland | 3.15
Poland | Lublin | 3.12
Greece | Thessaly | 3.10
France | Brittany | 3.04
Romania | Transylvania | 2.94
France | Midi-Pyrénées | 2.93
Greece | Central Macedonia | 2.97
France | Normandy | 2.86
Germany | Bavaria | 2.64
Germany | Baden-Württemberg | 2.57
Italy | Lazio | 2.55
Italy | Tuscany | 2.47
Germany | Rhineland-Palatinate | 2.46
Norway | Akershus | 2.42
Sweden | Västra Götaland County | 2.41
Norway | Oslo | 2.36
Sweden | Stockholm County | 2.34
France | Lorraine | 2.23
France | Alsace | 2.22
Spain | Castile and León | 2.21
Finland | Pirkanmaa | 2.20
Germany | Hesse | 2.19
Netherlands | South Holland | 2.17
France | Île-de-France | 2.14
Finland | Uusimaa | 2.13
Germany | North Rhine-Westphalia | 2.12
Netherlands | North Holland | 2.09
Spain | Madrid | 2.08
Germany | Berlin | 1.80
United Kingdom | London | 1.82
Sweden | Skåne County | 1.84
Sweden | Halland County | 1.93
United Kingdom | South East England | 1.92
Italy | Lombardy | 1.91
Italy | Veneto | 1.87
Norway | Troms | 1.75
Germany | Hamburg | 1.73
Norway | Finnmark | 1.64
Sweden | Norrbotten County | 1.36
Sweden | Västerbotten County | 1.29

The average total fertility rate in the European Union (EU-27) was calculated at 1.53 children per female in 2021.[14] In 2021, France had the highest TFR among EU countries at 1.84, followed by Czechia (1.83), Romania (1.81), Ireland (1.78) and Denmark (1.72).[14] In 2021, Malta had the lowest TFR among the EU countries, at 1.13.[14] Other southern European countries also had very low TFR (Portugal 1.35, Cyprus 1.39, Greece 1.43, Spain 1.19, and Italy 1.25).[14]

In 2021, the United Kingdom had a TFR of 1.53. In 2021 estimates for the non-EU European post-Soviet states group, Russia had a TFR of 1.60, Moldova 1.59, Ukraine 1.57, and Belarus 1.52.[9]

Emigration of young adults from Eastern Europe to the West aggravates the demographic problems of those countries. People from countries such as Bulgaria, Moldova, Romania, and Ukraine are particularly moving abroad.[43]

### Latin America and the Caribbean

[edit]

In 2023, the TFR of Brazil, the most populous country in the region, was estimated at 1.75.[9] In 2021, the second most populous country, Mexico, had an estimated TFR of 1.73.[9] The next most populous four countries in the region had estimated TFRs of between 1.9 and 2.2 in 2023, including Colombia (1.94), Argentina (2.17), Peru (2.18), and Venezuela (2.20). Belize had the highest estimated TFR in the region at 2.59 in 2023. In 2021, Puerto Rico had the lowest, at 1.25.[9]

### Northern America

[edit]

#### Canada

[edit]

Main article: Aging of Canada

In 2021, the TFR of Canada was 1.43.[44]

#### United States

[edit]

Further information: Aging of the United States

After a relatively stable birth rate for thirty years, the number of live births per 100 women aged 15 to 44 resumed a decline beginning in 2008.[45]

The fertility rate in the U.S. has been in a downward trend, and is now below the replacement rate of 2.1 births.[46]

The total fertility rate in the United States after World War II peaked at about 3.8 children per female in the late 1950s, dropped to below replacement in the early 70s, and by 1999 was at 2 children.[47] Currently, the fertility is below replacement among those native born, and above replacement among immigrant families, most of whom come to the US from countries with higher fertility. However, the fertility rate of immigrants to the US has been found to decrease sharply in the second generation, correlating with improved education and income.[48] In 2021, the US TFR was 1.664, ranging between over 2 in some states and under 1.6 in others.[49]

### Oceania

[edit]

#### Australia

[edit]

Further information: Ageing of Australia

After World War II, Australia's TFR was approximately 3.0.[50] In 2017, Australia's TFR was 1.74, i.e. below replacement.[51]

## See also

[edit]

* List of sovereign states and dependencies by total fertility rate
* Birth rate
* Fertility and intelligence
* Income and fertility
* List of countries by past fertility rate
* Sub-replacement fertility
* Zero population growth

## References

[edit]

1. ^ a b Craig, J (1994). "Replacement level fertility and future population growth". Population Trends (78): 20–22. PMID 7834459. Archived from the original on 2022-04-12. Retrieved 2022-01-25.
2. ^ a b Espenshade TJ, Guzman JC, Westoff CF (2003). "The surprising global variation in replacement fertility". Population Research and Policy Review. 22 (5/6): 575. doi:10.1023/B:POPU.0000020882.29684.8e. S2CID 10798893. Archived from the original on 2023-05-31. Retrieved 2023-05-31.
3. ^ Gietel-Basten, Stuart; Scherbov, Sergei (December 2, 2019). "Is half the world's population really below 'replacement-rate'?". PLOS ONE. 14 (12): e0224985. Bibcode:2019PLoSO..1424985G. doi:10.1371/journal.pone.0224985. PMC 6886770. PMID 31790416.
4. ^ Kohler, Hans-Peter; Billari, Francesco C.; Ortega, José Antonio (February 15, 2006). "Low Fertility in Europe: Causes, Implications and Policy Options" (PDF). University of Pennsylvania - School of Arts & Sciences. Archived (PDF) from the original on 2017-11-19. Retrieved 2020-01-27.
5. ^ Cai, Yong; Morgan, S. Philip (1 June 2019). "Persistent low fertility among the East Asia descendants in the United States: perspectives and implications". China Population and Development Studies. 2 (4): 384–400. doi:10.1007/s42379-019-00024-7. ISSN 2523-8965. S2CID 135233463. "The Behavior of U.S. minority CJK groups have another logical referent—the behavior of Chinese, Japanese and Korean national populations (shown in Fig. 1). What can we learn about low fertility in the origin countries from those that trace their origin there? Or in other words, what can the East Asian diaspora tell us about lowest-low fertility in East Asia? The most common explanation for fertility differences across developed countries (like those shown in Fig. 1) are institutional differences (see for instance, McDonald 2000a, b). However, it is striking that East Asians who have moved to a new location—to the U.S. with its dramatically different social institutions and one of the highest fertility rates in the developed world—have a fertility pattern that seems impervious to this dramatic contextual change. This simple observation challenges much contemporary thinking about policies to ameliorate low fertility and its negative consequences."
6. ^ "Fertility statistics" (PDF). Archived (PDF) from the original on 2023-02-02. Retrieved 2023-02-02.
7. ^ Terrell, Heather Kathleen Mary (May 2005). Fertility In China In 2000: A County Level Analysis (MS thesis). Texas A&M University. p. 52\. hdl:1969.1/3892. Archived from the original on 14 December 2022. Retrieved 14 December 2022.
8. ^ Goldstein, Joshua R.; Kreyenfeld, Michaela (July 2011). "East Germany Overtakes West Germany: Recent Trends in Order-Specific Fertility Dynamics" (PDF). Max Planck Institute for Demographic Research. Archived (PDF) from the original on 2022-01-20. Retrieved 2021-12-08.
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10. ^ Weil, David N. (2004). Economic Growth. Addison-Wesley. p. 111\. ISBN 978-0-201-68026-3.
11. ^ "Country Comparison :: Population size". The World Factbook. Central Intelligence Agency. Archived from the original on June 13, 2007. Retrieved 2017-05-30.
12. ^ "China's Generation of Only Children Wants the Same for Their Kids". Foreign Policy. Archived from the original on January 28, 2022. Retrieved January 28, 2022.
13. ^ "Country Comparison :: GDP - per capita (PPP)". The World Factbook. Central Intelligence Agency. Archived from the original on June 13, 2007. Retrieved 2017-05-30.
14. ^ a b c d e Eurostat (March 2023). "Fertility statistics". ec.europa.eu. Archived from the original on 2023-04-05.
15. ^ a b Kligman, Gail. "Political Demography: The Banning of Abortion in Ceausescu's Romania". In Ginsburg, Faye D.; Rapp, Rayna, eds. Conceiving the New World Order: The Global Politics of Reproduction. Berkeley, CA: University of California Press, 1995 :234–255. Unique Identifier : AIDSLINE KIE/49442.
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## Further reading

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* Bulatao, Rodolfo (1984). Reducing Fertility in Developing Countries. Washington, D.C.: World Bank. ISBN 978-0-8213-0444-0. Archived from the original on 2021-02-25. Retrieved 2011-09-24.

## External links

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* CIA World Factbook - Total Fertility Rate by country
* eurostat - Your key to European statistics
* Population Reference Bureau Glossary of Population Terms
* Java Simulation of Total Fertility.
* Java Simulation of Population Dynamics.
* How Fertility Changes Across Immigrant Generations.
* Fertility Trends, Marriage Patterns and Savant Typologies.
* Human Fertility Database: Collection of age specific fertility rates for some developed countries.