Wikipedia

# Total fertility rate

Map of countries by fertility rate (2018), according to CIA World Factbook
A world map showing countries by total fertility rate (TFR), according to World Population Prospects 2015 by UN.

The total fertility rate (TFR), sometimes also called the fertility rate, absolute/potential natality, period total fertility rate (PTFR), or total period fertility rate (TPFR) of a population is the average number of children that would be born to a woman over her lifetime if:

1. She was to experience the exact current age-specific fertility rates (ASFRs) through her lifetime, and
2. She was to survive from birth to the end of her reproductive life.[1]

It is obtained by summing the single-year age-specific rates at a given time.

## Parameter characteristics

Total fertility rate projections by region
Total fertility rate for selected countries
World historical TFR (1950–2015)

UN, average variant, 2010 rev.[2]
Years TFR
1950–1955 4.96
1955–1960 4.89
1960–1965 5.03
1965–1970 4.92
1970–1975 4.46
1975–1980 3.87
1980–1985 3.6
1985–1990 3.44
1990–1995 3.02
1995–2000 2.75
2000–2005 2.63
2005–2010 2.57
2010–2015 2.52

The TFR is a synthetic rate, not based on the fertility of any real group of women since this would involve waiting until they had completed childbearing. Nor is it based on counting up the total number of children actually born over their lifetime. Instead, the TFR is based on the age-specific fertility rates of women in their "child-bearing years", which in conventional international statistical usage is ages 15–44 or 15–49.[3]

The TFR is, therefore, a measure of the fertility of an imaginary woman who passes through her reproductive life subject to all the age-specific fertility rates for ages 15–49 that were recorded for a given population in a given year. The TFR represents the average number of children a woman would potentially have, were she to fast-forward through all her childbearing years in a single year, under all the age-specific fertility rates for that year. In other words, this rate is the number of children a woman would have if she was subject to prevailing fertility rates at all ages from a single given year, and survives throughout all her childbearing years.

## Related parameters

### Net reproduction rate

An alternative fertility measure is the net reproduction rate (NRR), which measures the number of daughters a woman would have in her lifetime if she were subject to prevailing age-specific fertility and mortality rates in the given year. When the NRR is exactly one, then each generation of women is exactly reproducing itself. The NRR is less widely used than the TFR, and the United Nations stopped reporting NRR data for member nations after 1998. But the NRR is particularly relevant where the number of male babies born is very high due to gender imbalance and sex selection. This is a significant factor in world population, due to the high level of gender imbalance in the very populous nations of China and India. The gross reproduction rate (GRR), is the same as the NRR, except that—like the TFR—it ignores life expectancy.

### Total period fertility rate

The TFR (or 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(TFR/2)/Xm, where Xm is mean age for childbearing women.

#### 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.

Log-log graph of total fertility rate (TFR) vs. GDP (PPP) per capita with population size shown as bubble area, for all countries having population greater than 2 million (2016 estimates; 30 largest countries bold).[4][5][6]

### Replacement rates

Replacement fertility is the total fertility rate at which women give birth to enough babies to sustain population levels.

According to the UN Population Division, a total fertility rate (TFR) of about 2.1 children per woman is called replacement-level fertility.[7] If replacement level fertility is sustained over a sufficiently long period, each generation will exactly replace itself.[7] The replacement level of TFR is dependent also on maternal mortality and child mortality, and, as such, it is higher in underdeveloped countries. The replacement fertility rate is indeed only slightly above 2.0 births per woman for most industrialized countries (2.075 in the UK, for example), but ranges from 2.5 to 3.3 in developing countries because of higher mortality rates, especially child mortality.[8] The global average for the replacement total fertility rate (eventually leading to a stable global population) was 2.33 children per woman in 2003.[9]

## Lowest-low fertility

The term "lowest-low fertility" is defined as TFR at or below 1.3.[10] This is characteristic of some Eastern European, Southern European and East Asian countries.[11] In 2001, more than half of the population of Europe lived in countries with lowest-low TFR, but TFRs have since slightly increased there.[12]

## Population-lag effect

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), whereas a population that maintained a TFR of 2.0 over a long time would decrease, unless it had a large enough immigration. However, 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.

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.

A plot of population growth rate vs total fertility rate (logarithmic). Symbol radius reflect population size in each country

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 equals log(TFR/2)/Xm, where Xm is mean age for childbearing women and thus P(t) = P(0)exp(gt). At the left side is shown the empirical relation between the two variables in a cross-section of countries with most recent y-y growth rate. The parameter 1/b should be an estimate of the Xm; here equal to 1/0.02 = 50 years, way off the mark because of population momentum. E.g. for log(TFR/2) = 0, g should be exactly zero, which is seen not to be the case.

## Developed or developing countries

Total fertility rate (TFR) versus human development index (HDI), Source: Human Development Report 2009 (United Nations Development Program)
Niger has the highest TFR in the world[13]
Human Development Index map. Darker is higher.

Developed countries usually have a significantly lower fertility rate, often correlated with greater wealth, education, urbanization, or other factors. Mortality rates are low, birth control is understood and easily accessible, and costs are often deemed very high because of education, clothing, feeding, and social amenities. With wealth, contraception becomes affordable. In countries like Iran where contraception was subsidized before the economy accelerated, birth rate also rapidly declined. Further, longer periods of time spent getting higher education often mean women have children later in life. Female labor participation rate also has substantial negative impact on fertility, but not in all countries (for countries in the OECD, increased female labor participation has been associated with increased fertility[14]).

In undeveloped countries on the other hand, families desire children for their labour and as caregivers for their parents in old age. Fertility rates are also higher due to the lack of access to contraceptives, stricter adherence to traditional religious beliefs, generally lower levels of female education, and lower rates of female employment in industry. The total fertility rate for the world has been declining very rapidly since the 1990s. Some forecasters like Sanjeev Sanyal argue that, adjusted for gender imbalances, the effective global fertility will fall below replacement rate in the 2020s. This would stabilize world population by 2050.[15] This differs from projections by the United Nations who estimate that some growth will continue even in 2100.[16] If the global TFR falls as much as it did from year 1995 to 2000, by 0.25 points, in 2015 to 2020, then that would result in global TFR being 2.11 by year 2020 (it was 2.36 in 2010–2015 period). 2.11 is the exact global replacement rate of humanity. However, if it falls as much as it did from 1975 to 1980, by 0.61 points (it was 4.45 TFR in 1975 and 3.84 TFR by 1980), then the global TFR would be low at 1.75 children per woman, well below replacement level, by year 2020.

This situation of wealthy countries usually having a lower fertility rate than poor countries is part of the fertility-income paradox, as the very high fertility countries are very poor, and it may seem counter-intuitive for families there to have so many children. The inverse relationship between income and fertility has been termed a demographic-economic "paradox" by the notion that greater means would enable the production of more offspring, as first suggested by demographic scholar Thomas Malthus in 1798.

## Politics

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. The policy of Romania (1967–1990) was very aggressive, including outlawing abortion and contraception, routine pregnancy tests for women, taxes on childlessness, and legal discrimination against childless people; and resulted in large numbers of children put into Romanian orphanages by parents who couldn't 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.[17] 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.[18] Some governments have sought to regulate which groups of society could reproduce through eugenic policies of forced sterilizations of 'undesirable' population groups. 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, President Alberto Fujimori (in office from 1990 to 2000) 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 Quechuas and the Aymaras).[19] Within this 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 church. According to the OHCHR 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".[20]

## Factors

A parent's number of children strongly correlates with the number of children that each person in the next generation will eventually have.[21] Factors generally associated with increased fertility include religiosity,[22] intention to have children,[23] and maternal support.[24] Factors generally associated with decreased fertility include wealth, education,[25] female labor participation,[26] urban residence,[27] intelligence, widespread birth control usage, increased female age and (to a lesser degree) increased male age. Many of these factors however are not universal, and differ by region and social class. For instance, at a global level, religion is correlated with increased fertility, but in the West less so: 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.[28]

## World extreme lows

The lowest TFR recorded anywhere in the world in recorded history is for Xiangyang district of Jiamusi city (Heilongjiang, China) which had a TFR of 0.41.[29] 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 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 German did not drop as significantly.

## By region

### Africa

This region of the world has the highest TFR (Niger, Burundi, Mali, Somalia, and Uganda are highest).[13] The poverty of the region, and the high maternal mortality and infant mortality had led to calls from WHO of family planning and encouragement of smaller families.[30]

### East Asia

The highly successful, developed, high-tech economies of East Asia have the lowest TFR in the world

The TFR of Singapore, Macau, Taiwan, Hong Kong and South Korea are the lowest in the world, with Singapore and Macau having a TFR below 1 in 2017.[13] Japan too has a low TFR (1.45 in 2016[31]). Singapore mitigates this through immigrant workers, but in Japan there is a serious demographic problem.

In South Korea, too, a low birthrate is one of its most urgent socio-economic challenges.[32] 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, from 1.08 in 2005 to 1.17 in 2016.[33] 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, etc.

### Europe

The average total fertility rate in the European Union (EU-28) is calculated at 1.58 children per woman in 2015.[28] Most Southern European countries have very low TFR (Portugal 1.31, Cyprus, 1.32, Greece 1.33, Spain 1.33, Italy 1.35).[28] Poland also has a very low TFR (1.32).[28] France has the highest TFR at 1.96, followed by Ireland (1.92), Sweden (1.85), the UK (1.81)[34] and Denmark (1.71). The other non-EU Scandinavian countries also have high TFR (the Faroe Islands 2.60, Iceland 1.80, Norway 1.72).[28]

In the non-EU European post-Soviet states group in 2016, Russia has a TFR of 1.61, Moldova 1.56, Ukraine 1.54, and Belarus 1.48.[13] In former Yugoslavian states, Bosnia has a very low TFR, at only 1.28, the lowest of the whole of Europe.[13]

Emigration of young adults from Eastern Europe to the West aggravates the demographic problems of those countries. People from countries such as Moldova, Romania, Hungary, and Bulgaria are particularly moving abroad.[35]

### United States

Map of U.S. states by total fertility rate (TFR) in 2013.
History of US Total Fertility Rate from 1933 to 2016.

The total fertility rate in the United States after World War II peaked at about 3.8 children per woman in the late 1950s and by 1999 was at 2 children. The fertility rate of the total U.S. population was just below the replacement level in 1979.[36] Currently, the fertility is below replacement among those native born, and above replacement among immigrant families, most of whom come to the United States from countries with higher fertility. However, the fertility rate of immigrants to the United States has been found to decrease sharply in the second generation, correlating with improved education and income.[37] In 2017, U.S. TFR continued to decline, reaching its lowest level since 1978, with a total fertility rate of 1.765.[38]

Dynamics:

Case studies:

Lists:

## References

### Citations

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21. Rai, Piyush Kant; Pareek, Sarla; Joshi, Hemlata (2013). "Regression Analysis of Collinear Data using r-k Class Estimator: Socio-Economic and Demographic Factors Affecting the Total Fertility Rate (TFR) in India" (PDF). Journal of Data Science. 11.
22. Bloom, David; Canning, David; Fink, Günther; Finlay, Jocelyn (2009). "Fertility, female labor force participation, and the demographic dividend". Journal of Economic Growth. 14 (2): 79–101. doi:10.1007/s10887-009-9039-9.
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