Female fertility was the highest in Yemen in 2019 at an approximate of *** births per woman, followed by Iraq and Palestine at about *** and **** births per woman respectively. In comparison, the United Arab Emirates had the lowest fertility rate of about *** births per woman in 2019. Fertility rates over time Fertility rates have been declining over the years from *** in 2010 to *** in 2018 in the Middle East and Africa region. The population of a country starts declining due to the decline in fertility rates when the fertility rate drops below the threshold of approximately ***. This effect is more prominent in countries with high child mortality rates as child survival is one of the main factors affecting fertility rates. Parents are more likely to attempt to replace lost children or have more children as insurance when experiencing early child mortality. In the MENA region, child mortality witnessed a significant decline over the past decade. Factors affecting female fertility The variation in fertility rates across countries is very evident. Developed countries have lower fertility rates between *** and ***** births per female, while developing countries have higher rates that could reach ***** births per female. Female fertility rates drop as countries develop economically. It was found that a higher income and education decreases female fertility. Increasing the employment of women also reduces female fertility as it increases their opportunity cost of bearing children.

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.

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 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.

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.

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.

Context

Women roughly occupy half of the world's population but when it comes to the total workforce of a country, the percentage of male and female workers are rarely similar. This is even more prominent for the developing and underdeveloped countries. While several reasons such as the insufficient access to education, religious superstitions, lack of adequate infrastrucutres are responsible for this discrepancy, it goes way beyond these. One significant factor is the fertility rate of women which is a count for the total number of births per an individual woman. And to show its effects on the participation of women in the total workforce, percentage of female workers in the labor force has been considered. Using simple linear regression model, the relationship between these two factors can be analyzed.

Content

The datasets span over 23 years (from 1995 to 2017). Data has been collected separately from two surveys carried out by the World Bank for both the fertility rate and the percentage of female in the total workforce of Bangladesh. These two datasets were compiled into one dataset and it corresponds to the 23 data points for these two variables ("fertility rate" and "worker percent").

Inspiration

Linear model as well as other statistical methods can be applied on this dataset to analyze if there is any viable relationship between these two variables.

The Sudan Demographic and Health Survey (SDHS) was conducted in two phases between November 15, 1989 and May 21, 1990 by the Department of Statistics of the Ministry of Economic and National Planning. The survey collected information on fertility levels, marriage patterns, reproductive intentions, knowledge and use of contraception, maternal and child health, maternal mortality, and female circumcision. The survey findings provide the National Population Committee and the Ministry of Health with valuable information for use in evaluating population policy and planning public health programmes. A total of 5860 ever-married women age 15-49 were interviewed in six regions in northern Sudan; three regions in southern Sudan could not be included in the survey because of civil unrest in that part of the country. The SDHS provides data on fertility and mortality comparable to the 1978-79 Sudan Fertility Survey (SFS) and complements the information collected in the 1983 census. The primary objective of the SDHS was to provide data on fertility, nuptiality, family planning, fertility preferences, childhood mortality, indicators of maternal health care, and utilization of child health services. Additional information was coUected on educational level, literacy, source of household water, and other housing conditions. The SDHS is intended to serve as a source of demographic data for comparison with the 1983 census and the Sudan Fertility Survey (SFS) 1978-79, and to provide population and health data for policymakers and researchers. The objectives of the survey are to: assess the overall demographic situation in Sudan, assist in the evaluation of population and health programmes, assist the Department of Statistics in strengthening and improving its technical skills for conducting demographic and health surveys, enable the National Population Committee (NPC) to develop a population policy for the country, and measure changes in fertility and contraceptive prevalence, and study the factors which affect these changes, and examine the basic indicators of maternal and child health in Sudan. MAIN RESULTS Fertility levels and trends Fertility has declined sharply in Sudan, from an average of six children per women in the Sudan Fertility Survey (TFR 6.0) to five children in the Sudan DHS survey flTR 5.0). Women living in urban areas have lower fertility (TFR 4.1) than those in rural areas (5.6), and fertility is lower in the Khartoum and Northern regions than in other regions. The difference in fertility by education is particularly striking; at current rates, women who have attained secondary school education will have an average of 3.3 children compared with 5.9 children for women with no education, a difference of almost three children. Although fertility in Sudan is low compared with most sub-Saharan countries, the desire for children is strong. One in three currently married women wants to have another child within two years and the same proportion want another child in two or more years; only one in four married women wants to stop childbearing. The proportion of women who want no more children increases with family size and age. The average ideal family size, 5.9 children, exceeds the total fertility rate (5.0) by approximately one child. Older women are more likely to want large families than younger women, and women just beginning their families say they want to have about five children. Marriage Almost all Sudanese women marry during their lifetime. At the time of the survey, 55 percent of women 15-49 were currently married and 5 percent were widowed or divorced. Nearly one in five currently married women lives in a polygynous union (i.e., is married to a man who has more than one wife). The prevalence of polygyny is about the same in the SDHS as it was in the Sudan Fertility Survey. Marriage occurs at a fairly young age, although there is a trend toward later marriage among younger women (especially those with junior secondary or higher level of schooling). The proportion of women 15-49 who have never married is 12 percentage points higher in the SDHS than in the Sudan Fertiliy Survey. There has been a substantial increase in the average age at first marriage in Sudan. Among SDHS. Since age at first marriage is closely associated with fertility, it is likely that fertility will decrease in the future. With marriages occurring later, women am having their first birth at a later age. While one in three women age 45-49 had her first birth before age 18, only one in six women age 20-24 began childbearing prior to age 18. The women most likely to postpone marriage and childbearing are those who live in urban areas ur in the Khartoum and Northern regions, and women with pest-primary education. Breastfeeding and postpartum abstinence Breastfeeding and postpartum abstinence provide substantial protection from pregnancy after the birth uf a child. In addition to the health benefits to the child, breastfeeding prolongs the length of postpartum amenorrhea. In Sudan, almost all women breastfeed their children; 93 percent of children are still being breastfed 10-11 months after birth, and 41 percent continue breastfeeding for 20-21 months. Postpartum abstinence is traditional in Sudan and in the first two months following the birth of a child 90 percent of women were abstaining; this decreases to 32 percent after two months, and to 5 percent at~er one year. The survey results indicate that the combined effects of breastfeeding and postpartum abstinence protect women from pregnancy for an average of 15 months after the birth of a child. Knowledge and use of contraception Most currently married women (71 percent) know at least one method of family planning, and 59 percent know a source for a method. The pill (70 percent) is the most widely known method, followed by injection, female sterilisation, and the IUD. Only 39 percent of women knew a traditional method of family planning. Despite widespread knowledge of family planning, only about one-fourth of ever-married women have ever used a contraceptive method, and among currently married women, only 9 percent were using a method at the time of the survey (6 percent modem methods and 3 percent traditional methods). The level of contraceptive use while still low, has increased from less than 5 percent reported in the Sudan Fertility Survey. Use of family planning varies by age, residence, and level of education. Current use is less than 4 percent among women 15-19, increases to 10 percent for women 30-44, then decreases to 6 percent for women 45-49. Seventeen percent of urban women practice family planning compared with only 4 percent of rural women; and women with senior secondary education are more likely to practice family planning (26 percent) than women with no education (3 percent). There is widespread approval of family planning in Sudan. Almost two-thirds of currently married women who know a family planning method approve of the use of contraception. Husbands generally share their wives's views on family planning. Three-fourths of married women who were not using a contraceptive method at the time of the survey said they did not intend to use a method in the future. Communication between husbands and wives is important for successful family planning. Less than half of currently married women who know a contraceptive method said they had talked about family planning with their husbands in the year before the survey; one in four women discussed it once or twice; and one in five discussed it more than twice. Younger women and older women were less likely to discuss family planning than those age 20 to 39. Mortality among children The neonatal mortality rate in Sudan remained virtually unchanged in the decade between the SDHS and the SFS (44 deaths per 1000 births), but under-five mortality decreased by 14 percent (from 143 deaths per 1000 births to 123 per thousand). Under-five mortality is 19 percent lower in urban areas (117 per 1000 births) than in rural areas (144 per 10(30 births). The level of mother's education and the length of the preceding birth interval play important roles in child survival. Children of mothers with no education experience nearly twice the level of under-five mortality as children whose mother had attained senior secondary or nigher education. Mortality among children under five is 2.7 times higher among children born after an interval of less than 24 months than among children born after interval of 48 months or more. Maternal mortality The maternal mortality rate (maternal deaths per 1000 women years of exposure) has remained nearly constant over the twenty years preceding the survey, while the maternal mortality ratio (number of maternal deaths per 100,000 births), has increased (despite declining fertility). Using the direct method of estimation, the maternal mortality ratio is 352 maternal deaths per 100,000 births for the period 1976-82, and 552 per 100,000 births for the period 1983-89. The indirect estimate for the maternal mortality ratio is 537. The latter estimate is an average of women's experience over an extended period before the survey centred on 1977. Maternal health care The health care mothers receive during pregnancy and delivery is important to the survival and well-being of both children and mothers. The SDHS results indicate that most women in Sudan made at least one antenatal visit to a doctor or trained health worker/midwife. Eighty-seven percent of births benefitted from professional antenatal care in urban areas compared with 62 percent in rural areas. Although the proportion of pregnant mothers seen by trained health workers/midwives are similar in urban and rural areas, doctors provided antenatal care for 42 percent and 19 percent of births in urban and rural areas, respectively. Neonatal tetanus, a major cause of infant deaths in developing countries, can be prevented if mothers receive tetanus toxoid vaccinations.

Abstract

This survey is part of a fertility survey series conducted in the 1970s and 1980s, covering contraceptives, reproductive health, breastfeeding and complete birth histories.Currently housed by Princeton, these surveys were originally done under the auspices of the International Statistical Institute from the 70s to the early 80s.

Between October 1981 and August 1982, a World Fertility Survey (WFS) was conducted in Nigeria, the most populated country in Africa. Nigeria has a population of 93.7 million (1984) and an estimated growth rate of 3.0%-3.5% WFS findings indicate that current conditions in Nigeria are conducive to continued rapid population growth in the future. These conditions include high fertility, strong pronatalist attitudes, an increase in the proportion of young people in the population, a low level of contraceptive knowledge and use, high infant and child mortality rates, and a decrease in breastfeeding duration and in postpartum sexual abstinence duration among urban and educated women. In the survey information was collected from a sample of 8623 households and from 9727 women of reproductive age residing in those households. These completed interviews represented a 93.4 response rate for the households and a 96.0% response rate for the individual women. 56.1% of the households were occupied by a nuclear family, 23.6% were occupied by an extended family, and 20.3% contained no married couples. Mean household size was 5.09 in urban areas and 5.83 in rural areas. Housing conditions were relatively poor in both rural and urban areas. 83.5% of the surveyed women were ever married. Marriage was almost universal; only 0.6% of the women aged 44-49 never married. Marriages were relatively stable, and those who divorced tended to promplty remarry. Preliminary analysis indicates that the age at marriage may be decreasing. The mean age at 1st marriage was 16.0 years for women aged 25-29 and 17.7 years for women aged 40-44. 42.6% of the currently married women were in polynous unions, and the mean age difference between husbands and wives was 12.56 years. 77.4% of the interviewed women were illiterate, 77.4% resided in rural areas, 35.0% were currently not working, 45.9% were Muslim, and 44.9% were Christian. Among all the surveyed women, the mean number of children ever born was 3.07. Women aged 45-49 had a mean of 5.84 ever born children. The total fertility rate for the 5-year period preceding the study was 6.34, and the total fertility rate for ever married women was 7.48. Women with secondary or higher educations had lower fertility than women with less education; however, women with primary schooling only had higher fertility than those with no schooling. Urban and rural fertility differences were small, but there were marked regional differences in fertility patterns. Preliminary analysis indicates that fertility increased between the early 1960s and mid-1970s, but declined slightly since then. Only 5% of the surveyed women wanted no more children, and average desired family size among currently married and fecund women was 8.3 children. Although infant and child mortality declined in recent years, the respective rates were still 84.8 and 144.5 for 1975-9. Among surveyed women, 66.3% had no knowledge of any contraceptive method. 85.9% never used any contraceptive method, 12.5% ever used an inefficient method (mainly postpartum abstinence), and only 2.6% ever used an efficient method. Only 0.7% of exposed women currently used an efficient contraceptive method. Breastfeeding is universal. Mean breastfeeding duration for the next to last child was 16.6 months. For ever married women, the mean duration of post partum amenorrhea in the last closed birth interval was 10.4 months, and the mean duration of sexual abstinence following the next to last birth was 14.1 months. The duration of both breastfeeding and postpartum sexual abstinence is shorter among educated and urban women than among rural and uneducated women.Source: Voorburg, Netherlands, International Statistical Institute, 1984 Sep. 18 p. (WFS Summary of Findings No. 49)

Geographic coverage

National

Analysis unit

Households, Individuals

Universe

All women, 15-49

Kind of data

Sample survey data [ssd]

Sampling procedure

The 250 enumeration areas (EAs)of the Nigeria Fertility Survey are a subsample of the EAs used for the National Demographic Sample Survey 1980. It was originally intended as a self-weighting sample but problems of implementation led to the abandoning of this. The final sample of size 9727 includes weights to allow for the unequal probabilities of selection. The household and individual interviews were conducted on the same visit by the same (female) interviewers.

Mode of data collection

Face-to-face [f2f]

Research instrument

The WFS Headquarters prepared survey documents for general guidance and use, principal among these being the survey instruments or questionnaires.

Two basic instruments were the Hosuehold schedule and the individual questionnaire for women. 1. The Household Questionnaire covered topics such as age, sex, marital status of household members 2. Individual questionnaire for women provides detailed information on maternity and marriage histories, contraceptive knowledge and use, and fertility regulation.

A husbands questionnaire and an individual core questionnaire for low fertility countries were also developed. Optional supplementary modules on : - Abortion - Community level variables - Economic questionnaires - Factors other than contaception affecting fertility (FOTCAF) - Family planning - Fertility regulation - General mortality

The FOTCAF module measures biological factors and traditional practices that affect fertility in countries with low levels of contraceptive use. It includes questions on the lengths of: breastfeeding, unsupplemented breastfeeding, postpartum amenorrhea, and postpartum abstinence. The WFS core questionnaire included a complete live birth history; questions on the respondent's age, characteristics, and contraceptive use; and a record of the dates of marriages and marriage dissolutions. For African countries, one or more questions were asked about polygyny. Also included were questions on whether a woman's husband had other wives, and all (except Ghana) asked wives in polygynous marriages about their rank (first wife, second wife, and so forth). Several countries also asked about the number of other wives in the marriage.

In the Nigeria survey, the WFS core questionnaire, the FOTCAF Module, as well as supplementary surveys for household members and community were used. The FOTCAF module was modified so that (a) information was gathered about live-birth rather than pregnancy intervals and (b) provision was made to record information about the third to last interval, if this interval started within the five years preceding the survey. The latter ammendment removes much of the selection bias inherent in the standard FOTCAF module which is restricted to the last and last-but-one intervals.

Also recorded in the survey are : Place of and assistance at delivery of recently born children ; the existence of grandsons and granddaughters of the respondent, as well as the age of oldest. The purpose of these data is to test the hypothesis that the attainment of grandmotherhood is associated with terminal abstinence. The community survey covers availability of facilities (post office, health services, police, courts, bank) and provision of services (water, electricity, fuel, transport, specified goods).

Response rate

These completed interviews represented a 93.4 response rate for the households and a 96.0% response rate for the individual women.

a) Percentage distribution of surveyed facilities according to readiness scores in Afghanistan, Bangladesh, Kenya, Malawi, and Namibia. b) Percentage distribution of surveyed facilities according to readiness scores in Nepal, Rwanda, Senegal, Tanzania, and the DRC. (ZIP)

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.

Description

This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.

Key Features

Country: Name of the country.

Density (P/Km2): Population density measured in persons per square kilometer.

Abbreviation: Abbreviation or code representing the country.

Agricultural Land (%): Percentage of land area used for agricultural purposes.

Land Area (Km2): Total land area of the country in square kilometers.

Armed Forces Size: Size of the armed forces in the country.

Birth Rate: Number of births per 1,000 population per year.

Calling Code: International calling code for the country.

Capital/Major City: Name of the capital or major city.

CO2 Emissions: Carbon dioxide emissions in tons.

CPI: Consumer Price Index, a measure of inflation and purchasing power.

CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.

Currency_Code: Currency code used in the country.

Fertility Rate: Average number of children born to a woman during her lifetime.

Forested Area (%): Percentage of land area covered by forests.

Gasoline_Price: Price of gasoline per liter in local currency.

GDP: Gross Domestic Product, the total value of goods and services produced in the country.

Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.

Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.

Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.

Largest City: Name of the country's largest city.

Life Expectancy: Average number of years a newborn is expected to live.

Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.

Minimum Wage: Minimum wage level in local currency.

Official Language: Official language(s) spoken in the country.

Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.

Physicians per Thousand: Number of physicians per thousand people.

Population: Total population of the country.

Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.

Tax Revenue (%): Tax revenue as a percentage of GDP.

Total Tax Rate: Overall tax burden as a percentage of commercial profits.

Unemployment Rate: Percentage of the labor force that is unemployed.

Urban Population: Percentage of the population living in urban areas.

Latitude: Latitude coordinate of the country's location.

Longitude: Longitude coordinate of the country's location.

Potential Use Cases

Analyze population density and land area to study spatial distribution patterns.

Investigate the relationship between agricultural land and food security.

Examine carbon dioxide emissions and their impact on climate change.

Explore correlations between economic indicators such as GDP and various socio-economic factors.

Investigate educational enrollment rates and their implications for human capital development.

Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.

Study labor market dynamics through indicators such as labor force participation and unemployment rates.

Investigate the role of taxation and its impact on economic development.

Explore urbanization trends and their social and environmental consequences.

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.

Obstetric-related factors of the participants of high fertility among reproductive age women in Ethiopia.

The birth rate, also known as the crude birth rate, is a key demographic indicator that measures the number of live births occurring in a population per 1,000 people annually. This vital statistic provides insight into population growth and is often used by policymakers, researchers, and governments to understand trends in fertility, family planning, and societal development. A high birth rate generally indicates a growing population, while a low birth rate may suggest declining growth or aging demographics. Factors influencing birth rates include cultural, economic, social, and environmental conditions. Countries with advanced healthcare systems and access to education often see lower birth rates, as families may opt for fewer children. In contrast, regions with limited access to family planning and healthcare may experience higher birth rates. Understanding the birth rate is crucial for managing resources, planning social services, and predicting future population changes on both national and global scales.

The market size was valued at USD 1.5 billion in 2021 and will be 2.2 billion by 2030 with a CAGR of 8.2% during the forecast period. Factors Affecting Infertility TreatmentMarket Growth

Government spending on healthcare facilities

The federal government's increased support will likely accelerate market expansion. Additionally, the development and expansion of the healthcare sector, pushed by both public and private sectors, particularly in developing nations, will provide attractive potential for market expansion. High returns on investments, which are guaranteed by research efforts, would also benefit the market. Additionally, a rise in personal disposable income, an increase in the number of fertility clinics around the world, an increase in investment in the development of cutting-edge medical products and devices, and the growth of emerging Infertility markets will contribute to the market's positive rate of expansion.

Increasing frequency of the infertility

The demand for infertility is growing in male and females that result in an increasing demand for sterile treatment, Delayed parenthood, sexual transmission disease, aging, lifestyles are the factors that impact infertility. Therefore, there is faster growth in this field.

The Restraining Factor of Infertility Treatment:

High cost associated with treatment 

It is anticipated that barriers to market expansion will include high costs associated with research and development capabilities, a lack of adequate infrastructure, and increased complexity and concerns surrounding assisted reproductive technology (ART). In addition, during the forecast period of 2022–2029, the market is anticipated to face challenges from an unfavourable reimbursement scenario, a lack of technology penetration in developing economies, high costs associated with assisted reproductive technology (ART) procedures, and an inadequate infrastructure in low- and middle-income nations. This hampers the infertility market.

Opportunities on Infertility Treatment

Developing economies in APAC and RoW:

Market participants for infertility treatments can anticipate finding significant growth opportunities in developing nations like China, India, Brazil, and Mexico. The Asia market is different from other growing nations, due to greater focus on infrastructure upgrades in the healthcare sector. For a variety of reasons, the medical tourism industry is also booming in developing countries. The quality of the healthcare facilities in Asia is very excellent. The medical procedures are reasonably priced, and many of the physicians and surgeons were educated at renowned universities in the US and Europe. Emerging markets including India, China, Singapore, Thailand, Brazil, and Malaysia offer promising opportunities for the growth of the global market.

Impact of the COVID-19 pandemic on the Infertility Treatment Market:

The market has been negatively impacted by COVID-19. The market growth rate was slowed down as attention was diverted from non-essential healthcare services to meet COVID-19 patient expectations. Guidelines were established to prevent front-line hospital and public employees from contracting the COVID-19 virus. Due to the cancellation of in vitro fertilisation procedures, 90% decrease in the number of people having in vitro fertilisation cycles was seen during this pandemic phase. The infertility market growth rate was hampered as a result of everything. Introduction of Infertility Treatment

Infertility means a woman is not able to conceive after trying for more than a year. Infertility occurs when a woman can become pregnant but tends to experience miscarriages. Infertility treatment largely depends on the underlying cause and objectives. A treatment will be chosen for you based on your age, length of infertility treatment, and personal preferences. Sometimes only one person needs treatment, and other times both spouses must participate. In most circumstances, infertile individuals and couples have a high possibility of getting pregnant. The use of assisted reproductive technology (ART), surgery, or medication can be beneficial.

SPSS Data File Used in Analyses for Studies 1 and 2Related Publication: Li, N.P., Lim, A.J.Y., Tsai M.H. (2015) Too Materialistic to get Married and have Children? PLoS ONE 10(5): e0126543. http://dx.doi.org/10.1371/journal.pone.0126543. Full text available in InK: http://ink.library.smu.edu.sg/soss_research/1676/We developed new materials to induce a luxury mindset and activate materialistic values, and examined materialism’s relationship to attitudes toward marriage and having children in Singapore. Path analyses indicated that materialistic values led to more negative attitudes toward marriage, which led to more negative attitudes toward children, which in turn led to a decreased number of children desired. Results across two studies highlight, at the individual level, the tradeoff between materialistic values and attitudes toward marriage and procreation and suggest that a consideration of psychological variables such as materialistic values may allow for a better understanding of larger-scale socioeconomic issues including low fertility rates among developed countries. We discuss implications and describe how psychological factors relating to low fertility fit within evolutionary mismatch and life history theory frameworks.

The Ukraine Demographic and Health Survey (UDHS) is a nationally representative survey of 6,841 women age 15-49 and 3,178 men age 15-49. Survey fieldwork was conducted during the period July through November 2007. The UDHS was conducted by the Ukrainian Center for Social Reforms in close collaboration with the State Statistical Committee of Ukraine. The MEASURE DHS Project provided technical support for the survey. The U.S. Agency for International Development/Kyiv Regional Mission to Ukraine, Moldova, and Belarus provided funding. The survey is a nationally representative sample survey designed to provide information on population and health issues in Ukraine. The primary goal of the survey was to develop a single integrated set of demographic and health data for the population of the Ukraine. The UDHS was conducted from July to November 2007 by the Ukrainian Center for Social Reforms (UCSR) in close collaboration with the State Statistical Committee (SSC) of Ukraine, which provided organizational and methodological support. Macro International Inc. provided technical assistance for the survey through the MEASURE DHS project. USAID/Kyiv Regional Mission to Ukraine, Moldova and Belarus provided funding for the survey through the MEASURE DHS project. MEASURE DHS is sponsored by the United States Agency for International Development (USAID) to assist countries worldwide in obtaining information on key population and health indicators. The 2007 UDHS collected national- and regional-level data on fertility and contraceptive use, maternal health, adult health and life style, infant and child mortality, tuberculosis, and HIV/AIDS and other sexually transmitted diseases. The survey obtained detailed information on these issues from women of reproductive age and, on certain topics, from men as well. The results of the 2007 UDHS are intended to provide the information needed to evaluate existing social programs and to design new strategies for improving the health of Ukrainians and health services for the people of Ukraine. The 2007 UDHS also contributes to the growing international database on demographic and health-related variables. MAIN RESULTS Fertility rates. A useful index of the level of fertility is the total fertility rate (TFR), which indicates the number of children a woman would have if she passed through the childbearing ages at the current age-specific fertility rates (ASFR). The TFR, estimated for the three-year period preceding the survey, is 1.2 children per woman. This is below replacement level. Contraception : Knowledge and ever use. Knowledge of contraception is widespread in Ukraine. Among married women, knowledge of at least one method is universal (99 percent). On average, married women reported knowledge of seven methods of contraception. Eighty-nine percent of married women have used a method of contraception at some time. Abortion rates. The use of abortion can be measured by the total abortion rate (TAR), which indicates the number of abortions a woman would have in her lifetime if she passed through her childbearing years at the current age-specific abortion rates. The UDHS estimate of the TAR indicates that a woman in Ukraine will have an average of 0.4 abortions during her lifetime. This rate is considerably lower than the comparable rate in the 1999 Ukraine Reproductive Health Survey (URHS) of 1.6. Despite this decline, among pregnancies ending in the three years preceding the survey, one in four pregnancies (25 percent) ended in an induced abortion. Antenatal care. Ukraine has a well-developed health system with an extensive infrastructure of facilities that provide maternal care services. Overall, the levels of antenatal care and delivery assistance are high. Virtually all mothers receive antenatal care from professional health providers (doctors, nurses, and midwives) with negligible differences between urban and rural areas. Seventy-five percent of pregnant women have six or more antenatal care visits; 27 percent have 15 or more ANC visits. The percentage is slightly higher in rural areas than in urban areas (78 percent compared with 73 percent). However, a smaller proportion of rural women than urban women have 15 or more antenatal care visits (23 percent and 29 percent, respectively). HIV/AIDS and other sexually transmitted infections : The currently low level of HIV infection in Ukraine provides a unique window of opportunity for early targeted interventions to prevent further spread of the disease. However, the increases in the cumulative incidence of HIV infection suggest that this window of opportunity is rapidly closing. Adult Health : The major causes of death in Ukraine are similar to those in industrialized countries (cardiovascular diseases, cancer, and accidents), but there is also a rising incidence of certain infectious diseases, such as multidrug-resistant tuberculosis. Women's status : Sixty-four percent of married women make decisions on their own about their own health care, 33 percent decide jointly with their husband/partner, and 1 percent say that their husband or someone else is the primary decisionmaker about the woman's own health care. Domestic Violence : Overall, 17 percent of women age 15-49 experienced some type of physical violence between age 15 and the time of the survey. Nine percent of all women experienced at least one episode of violence in the 12 months preceding the survey. One percent of the women said they had often been subjected to violent physical acts during the past year. Overall, the data indicate that husbands are the main perpetrators of physical violence against women. Human Trafficking : The UDHS collected information on respondents' awareness of human trafficking in Ukraine and, if applicable, knowledge about any household members who had been the victim of human trafficking during the three years preceding the survey. More than half (52 percent) of respondents to the household questionnaire reported that they had heard of a person experiencing this problem and 10 percent reported that they knew personally someone who had experienced human trafficking.

The 1998 Philippines National Demographic and Health Survey (NDHS). is a nationally-representative survey of 13,983 women age 15-49. The NDHS was designed to provide information on levels and trends of fertility, family planning knowledge and use, infant and child mortality, and maternal and child health. It was implemented by the National Statistics Office in collaboration with the Department of Health (DOH). Macro International Inc. of Calverton, Maryland provided technical assistance to the project, while financial assistance was provided by the U.S. Agency for International Development (USAID) and the DOH. Fieldwork for the NDHS took place from early March to early May 1998. The primary objective of the NDHS is to Provide up-to-date information on fertility levels; determinants of fertility; fertility preferences; infant and childhood mortality levels; awareness, approval, and use of family planning methods; breastfeeding practices; and maternal and child health. This information is intended to assist policy makers and program managers in evaluating and designing programs and strategies for improving health and family planning services in the country. MAIN RESULTS Survey data generally confirm patterns observed in the 1993 National Demographic Survey (NDS), showing increasing contraceptive use and declining fertility. FERTILITY Fertility Decline. The NDHS data indicate that fertility continues to decline gradually but steadily. At current levels, women will give birth an average of 3.7 children per woman during their reproductive years, a decline from the level of 4.1 recorded in the 1993 NDS. A total fertility rate of 3.7, however, is still considerably higher than the rates prevailing in neighboring Southeast Asian countries. Fertility Differentials. Survey data show that the large differential between urban and rural fertility levels is widening even further. While the total fertility rate in urban areas declined by about 15 percent over the last five years (from 3.5 to 3.0), the rate among rural women barely declined at all (from 4.8 to 4.7). Consequently, rural women give birth to almost two children more than urban women. Significant differences in fertility levels by region still exist. For example, fertility is more than twice as high in Eastern Visayas and Bicol Regions (with total fertility rates well over 5 births per woman) than in Metro Manila (with a rate of 2.5 births per woman). Fertility levels are closely related to women's education. Women with no formal education give birth to an average of 5.0 children in their lifetime, compared to 2.9 for women with at least some college education. Women with either elementary or high school education have intermediate fertility rates. Family Size Norms. One reason that fertility has not fallen more rapidly is that women in the Philippines still want moderately large families. Only one-third of women say they would ideally like to have one or two children, while another third state a desire for three children. The remaining third say they would choose four or more children. Overall, the mean ideal family size among all women is 3.2 children, identical to the mean found in 1993. Unplanned Fertility. Another reason for the relatively high fertility level is that unplanned pregnancies are still common in the Philippines. Overall, 45 percent of births in the five years prior to the survey were reported to be unplanned; 27 percent were mistimed (wanted later) and 18 percent were unwanted. If unwanted births could be eliminated altogether, the total fertility rate in the Philippines would be 2.7 births per woman instead of the actual level of 3.7. Age at First Birth. Fertility rates would be even higher if Filipino women did not have a pattem of late childbearing. The median age at first birth is 23 years in the Philippines, considerably higher than in most other countries. Another factor that holds down the overall level of fertility is the fact that about 9 or 10 percent of women never give birth, higher than the level of 3-4 percent found in most developing countries. FAMILY PLANNING Increasing Use of Contraception. A major cause of declining fertility in the Philippines has been the gradual but fairly steady increase in contraceptive use over the last three decades. The contraceptive prevalence rate has tripled since 1968, from 15 to 47 percent of married women. Although contraceptive use has increased since the 1993 NDS (from 40 to 47 percent of married women), comparison with the series of nationally representative Family Planning Surveys indicates that there has been a levelling-off in family planning use in recent years. Method Mix. Use of traditional methods of family planning has always accounted for a relatively high proportion of overall use in the Philippines, and data from the 1998 NDHS show the proportion holding steady at about 40 percent. The dominant changes in the "method mix" since 1993 have been an increase in use of injectables and traditional methods such as calendar rhythm and withdrawal and a decline in the proportions using female sterilization. Despite the decline in the latter, female sterilization still is the most widely used method, followed by the pill. Differentials in Family Planning Use. Differentials in current use of family planning in the 16 administrative regions of the country are large, ranging from 16 percent of married women in ARMM to 55 percent of those in Southern Mindanao and Central Luzon. Contraceptive use varies considerably by education of women. Only 15 percent of married women with no formal education are using a method, compared to half of those with some secondary school. The urban-rural gap in contraceptive use is moderate (51 vs. 42 percent, respectively). Knowledge of Contraception. Knowledge of contraceptive methods and supply sources has been almost universal in the Philippines for some time and the NDHS results indicate that 99 percent of currently married women age 15-49 have heard of at least one method of family planning. More than 9 in 10 married women know the pill, IUD, condom, and female sterilization, while about 8 in 10 have heard of injectables, male sterilization, rhythm, and withdrawal. Knowledge of injectables has increased far more than any other method, from 54 percent of married women in 1993 to 89 percent in 1998. Unmet Need for Family Planning. Unmet need for family planning services has declined since I993. Data from the 1993 NDS show that 26 percent of currently married women were in need of services, compared with 20 percent in the 1998 NDHS. A little under half of the unmet need is comprised of women who want to space their next birth, while just over half is for women who do not want any more children (limiters). If all women who say they want to space or limit their children were to use methods, the contraceptive prevalence rate could be increased from 47 percent to 70 percent of married women. Currently, about three-quarters of this "total demand" for family planning is being met. Discontinuation Rates. One challenge for the family planning program is to reduce the high levels of contraceptive discontinuation. NDHS data indicate that about 40 percent of contraceptive users in the Philippines stop using within 12 months of starting, almost one-third of whom stop because of an unwanted pregnancy (i.e., contraceptive failure). Discontinuation rates vary by method. Not surprisingly, the rates for the condom (60 percent), withdrawal (46 percent), and the pill (44 percent) are considerably higher than for the 1UD (14 percent). However, discontinuation rates for injectables are relatively high, considering that one dose is usually effective for three months. Fifty-two percent of injection users discontinue within one year of starting, a rate that is higher than for the pill. MATERNAL AND CHILD HEALTH Childhood Mortality. Survey results show that although the infant mortality rate remains unchanged, overall mortality of children under five has declined somewhat in recent years. Under-five mortality declined from 54 deaths per 1,000 births in 1988-92 to 48 for the period 1993-97. The infant mortality rate remained stable at about 35 per 1,000 births. Childhood Vaccination Coverage. The 1998 NDHS results show that 73 percent of children 12- 23 months are fully vaccinated by the date of the interview, almost identical to the level of 72 percent recorded in the 1993 NDS. When the data are restricted to vaccines received before the child's first birthday, however, only 65 percent of children age 12-23 months can be considered to be fully vaccinated. Childhood Health. The NDHS provides some data on childhood illness and treatment. Approximately one in four children under age five had a fever and 13 percent had respiratory illness in the two weeks before the survey. Of these, 58 percent were taken to a health facility for treatment. Seven percent of children under five were reported to have had diarrhea in the two weeks preceeding the survey. The fact that four-fifths of children with diarrhea received some type of oral rehydration therapy (fluid made from an ORS packet, recommended homemade fluid, or increased fluids) is encouraging. Breastfeeding Practices. Almost all Filipino babies (88 percent) are breastfed for some time, with a median duration of breastfeeding of 13 months. Although breastfeeding has beneficial effects on both the child and the mother, NDHS data indicate that supplementation of breastfeeding with other liquids and foods occurs too early in the Philippines. For example, among newborns less than two months of age, 19 percent were already receiving supplemental foods or liquids other than water. Maternal Health Care. NDHS data point to several areas regarding maternal health care in which improvements could be made. Although most Filipino mothers (86 percent) receive prenatal care from a doctor, nurse, or midwife, tetanus toxoid coverage is far from universal and

Explore comprehensive data on various indicators such as self-employment, female employment, average tariffs, net ODA provided, AIDS estimated deaths, fertility rate, school enrollment, GNI, gender parity index, agricultural support, poverty, and much more from the World Bank Millennium Development Goals dataset.

Self-employed, female (% of female employment), Average tariffs imposed by developed countries on agricultural products from developing countries (%), Net ODA provided to the least developed countries (% of donor GNI), AIDS estimated deaths (UNAIDS estimates), Fertility rate, total (births per woman), School enrollment, primary (% net), GNI, Atlas method (current US$), Average tariffs imposed by developed countries on clothing products from developing countries (%), School enrollment, primary (gross), gender parity index (GPI), Self-employed, total (% of total employment), Agricultural support estimate (% of GDP), Share of women in wage employment in the nonagricultural sector (% of total nonagricultural employment), Linear mixed-effect model estimates, Net ODA provided, total (current US$), School enrollment, secondary (gross), gender parity index (GPI), India, Bilateral, sector-allocable ODA to basic social services (% of bilateral ODA commitments), Average tariffs imposed by developed countries on clothing products from least developed countries (%), Bilateral ODA commitments that is untied (current US$), Qatar, Rural poverty gap at national poverty lines (%), GNI per capita, Atlas method (current US$), Urban poverty headcount ratio at national poverty lines (% of urban population), PPP conversion factor, private consumption (LCU per international $), Forest area (% of land area), Terrestrial protected areas (% of total land area), Poverty gap at national poverty lines (%), Annual, Proportion of seats held by women in national parliaments (%), Vulnerable employment, female (% of female employment), Contributing family workers, total (% of total employment), Net ODA provided, total (% of GNI), Total debt service (% of exports of goods, services and primary income), Total bilateral sector allocable ODA commitments (current US$), Average tariffs imposed by developed countries on textile products from least developed countries (%), Weighted Average, Net official development assistance received (current US$), Average tariffs imposed by developed countries on textile products from developing countries (%), Tuberculosis case detection rate (%, all forms), Oman, School enrollment, primary and secondary (gross), gender parity index (GPI), Prevalence of undernourishment (% of population), Population living in slums (% of urban population), Vulnerable employment, male (% of male employment), Debt service (PPG and IMF only, % of exports of goods, services and primary income), Ratio of school attendance rate of orphans to school attendance rate of non orphans, Weighted average, Net ODA received per capita (current US$), Population, total, Contributing family workers, male (% of male employment), Trade (% of GDP), Goods (excluding arms) admitted free of tariffs from least developed countries (% total merchandise imports excluding arms), Self-employed, male (% of male employment), PPP conversion factor, GDP (LCU per international $), Marine protected areas (% of territorial waters), Average tariffs imposed by developed countries on agricultural products from least developed countries (%), Pregnant women receiving prenatal care of at least four visits (% of pregnant women), Forest area (sq. km), Persistence to last grade of primary, total (% of cohort), Persistence to last grade of primary, female (% of cohort), Tuberculosis treatment success rate (% of new cases), Primary completion rate, total (% of relevant age group), School enrollment, tertiary (gross), gender parity index (GPI), Improved sanitation facilities (% of population with access), Poverty headcount ratio at national poverty lines (% of population), Net official development assistance and official aid received (current US$), Gross capital formation (% of GDP), Births attended by skilled health staff (% of total), Rural poverty headcount ratio at national poverty lines (% of rural population), Status under enhanced HIPC initiative, Children orphaned by HIV/AIDS, Vulnerable employment, total (% of total employment), Kuwait, Life expectancy at birth, total (years), Bahrain, Bilateral ODA commitments that is untied (% of bilateral ODA commitments), Persistence to last grade of primary, male (% of cohort), Bilateral, sector-allocable ODA to basic social services (current US$), Renewable internal freshwater resources per capita (cubic meters), Antiretroviral therapy coverage (% of people living with HIV), Pregnant women receiving prenatal care (%), Contributing family workers, female (% of female employment), Improved water source (% of population with access), Goods (excluding arms) admitted free of tariffs from developing countries (% total merchandise imports excluding arms), China, Total bilateral ODA commitments (current US$), Gap-filled total, Saudi Arabia, Adjusted net enrollment rate, primary (% of primary school age children), Reported cases of malaria, Annual freshwater withdrawals, total (% of internal resources), Net ODA received (% of GNI), Urban poverty gap at national poverty lines (%), Sum, Net ODA provided to the least developed countries (current US$), %

India, Qatar, Oman, Kuwait, Bahrain, China, Saudi Arabia

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