Population Demographics
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World Fertility and Family Planning 2020: Highlights (ST/ESA/SER.A/440)
World Fertility and Family Planning 2020 Highlights ST/ESA/SER.A/440 Department of Economic and Social Affairs Population Division World Fertility and Family Planning 2020 Highlights United Nations New York, 2020 The Department of Economic and Social Affairs of the United Nations Secretariat is a vital interface between global policies in the economic, social and environmental spheres and national action. The Department works in three main interlinked areas: (i) it compiles, generates and analyses a wide range of economic, social and environmental data and information on which States Members of the United Nations draw to review common problems and take stock of policy options; (ii) it facilitates the negotiations of Member States in many intergovernmental bodies on joint courses of action to address ongoing or emerging global challenges; and (iii) it advises interested Governments on the ways and means of translating policy frameworks developed in United Nations conferences and summits into programmes at the country level and, through technical assistance, helps build national capacities. The Population Division of the Department of Economic and Social Affairs provides the international community with timely and accessible population data and analysis of population trends and development outcomes for all countries and areas of the world. To this end, the Division undertakes regular studies of population size and characteristics and of all three components of population change (fertility, mortality and migration). Founded in 1946, the Population Division provides substantive support on population and development issues to the United Nations General Assembly, the Economic and Social Council and the Commission on Population and Development. It also leads or participates in various interagency coordination mechanisms of the United Nations system. -
How Do Demographic Trends Change? the Onset of Birth Masculinization in Albania, Georgia, and Vietnam 1990–2005
Christophe Z. Guilmoto, Nora Dudwick, Arjan Gjonça and Laura Rahm How do demographic trends change? The onset of birth masculinization in Albania, Georgia, and Vietnam 1990–2005 Article (Accepted version) (Refereed) Original citation: Guilmoto, Christophe Z. and Dudwick, Nora and Gjonça, Arjan and Rahm, Laura (2017) How do demographic trends change? The onset of birth masculinization in Albania, Georgia, and Vietnam 1990–2005. Population and Development Review. ISSN 0098-7921 DOI: 10.1111/padr.12111 © 2017 Wiley Periodicals, Inc This version available at: http://eprints.lse.ac.uk/85635/ Available in LSE Research Online: November 2017 LSE has developed LSE Research Online so that users may access research output of the School. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LSE Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain. You may freely distribute the URL (http://eprints.lse.ac.uk) of the LSE Research Online website. This document is the author’s final accepted version of the journal article. There may be differences between this version and the published version. You are advised to consult the publisher’s version if you wish to cite from it. How Do Demographic Trends Change? The Onset of Birth Masculinization in Albania, Georgia and Vietnam in 1990–2005. CZ Guilmoto, N. Dudwick, A. -
Systematic Assessment of the Sex Ratio at Birth for All Countries And
Correction SOCIAL SCIENCES Correction for “Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and re- gional reference levels,” by Fengqing Chao, Patrick Gerland, Alex R. Cook, and Leontine Alkema, which was first published April 15, 2019; 10.1073/pnas.1812593116 (Proc. Natl. Acad. Sci. U.S.A. 116, 9303–9311). The authors wish to note the following: “We made an error in the calculation of the number of missing female births. We used the total number of births as the starting point of our calculation, when instead we should have used the number of male births. The results regarding the sex ratio at birth estimates are not affected, but the reporting on the number of missing female births is affected by about a factor of 2. Changes to the manu- script include: Updates of the annual and cumulative missing births reported in Table 3, Fig. 3, and associated numbers in text; updates of the inflation probabilities (SI Appendix, Table S9) and reference in text (however, the selection of the countries with strong statistical evidence of an inflation was not affected by this update); additional explanation of how missing female births were calculated in the main text; and updated equations in the SI Appendix. Additionally, we thank Christophe Z. Guilmoto for pointing out the error in the calculation of the missing female births. We apologize for the errors in our work.” An updated version of the article with changes to address these errors is included with this Correction. The online version of the article remains as originally published. -
Muslim Fertility , Religion and Religiousness
1 02/21/07 Fertility and Religiousness Among European Muslims Charles F. Westoff and Tomas Frejka There seems to be a popular belief that Muslim fertility in Europe is much higher than that of non-Muslims. Part of this belief stems from the general impression of high fertility in some Muslim countries in the Middle East, Asia and Africa. This notion is typically transferred to Muslims living in Europe with their increasing migration along with concerns about numbers and assimilability into European society. I The first part of this paper addresses the question of how much difference there is between Muslim and non-Muslim fertility in Europe (in those countries where such information is available). At the beginning of the 21 st century, there are estimated to be approximately 40 – 50 million Muslims in Europe. Almost all of the Muslims in Central and Eastern Europe live in the Balkans. (Kosovo, although formally part of Serbia, is listed as a country in Table 1). In Western Europe the majority of Muslims immigrated after the Second World War. The post-war economic reconstruction and boom required considerably more labor than was domestically available. There were two principal types of immigration to Western Europe: (a) from countries of the respective former colonial empires; and (b) from Southern Europe, the former Federal Republic of Yugoslavia and Turkey. As much of this immigration took place during the 1950s and 1960s large proportions of present-day Muslims are second and third generation descendants. Immigrants to France came mostly from the former North African colonies Algeria (± 35 percent), Morocco (25 percent) and Tunisia (10 percent), and also from Turkey (10 percent). -
Global Population Trends: the Prospects for Stabilization
Global Population Trends The Prospects for Stabilization by Warren C. Robinson Fertility is declining worldwide. It now seems likely that global population will stabilize within the next century. But this outcome will depend on the choices couples make throughout the world, since humans now control their demo- graphic destiny. or the last several decades, world population growth Trends in Growth Fhas been a lively topic on the public agenda. For The United Nations Population Division makes vary- most of the seventies and eighties, a frankly neo- ing assumptions about mortality and fertility to arrive Malthusian “population bomb” view was in ascendan- at “high,” “medium,” and “low” estimates of future cy, predicting massive, unchecked increases in world world population figures. The U.N. “medium” variant population leading to economic and ecological catas- assumes mortality falling globally to life expectancies trophe. In recent years, a pronatalist “birth dearth” of 82.5 years for males and 87.5 for females between lobby has emerged, with predictions of sharp declines the years 2045–2050. in world population leading to totally different but This estimate assumes that modest mortality equally grave economic and social consequences. To declines will continue in the next few decades. By this divergence of opinion has recently been added an implication, food, water, and breathable air will not be emotionally charged debate on international migration. scarce and we will hold our own against new health The volatile mix has exploded into a torrent of threats. It further assumes that policymakers will books, scholarly articles, news stories, and op-ed continue to support medical, scientific, and technolog- pieces, presenting at least superficially plausible data ical advances, and that such policies will continue to and convincing arguments on all sides of every ques- have about the same effect on mortality as they have tion. -
Total Fertility Rate, 2000 Vs. 2017
DID YOU KNOW? 2020 -13 Total fertility rate represents the number of children that Total Fertility Rate, 2000 vs. 2017 would be born to a woman if she were to live to the end of 2017 2000 her childbearing years and bear children in accordance with current age-specific fertility rates. It is computed by summing 0 1 2 3 4 5 6 7 8 up the age-specific fertility rates defined over five year Niger intervals. Somalia Mali The total fertility rate of 2.1 children per woman sustains Chad current population level (“replacement rate”) in case there is Nigeria no net migration and mortality remains unchanged. Gambia Burkina Faso However, the current scientific literature states that the Uganda threshold can be as high as 3.4 in some developing Mozambique countries because of higher mortality rates. Benin Guinea Total fertility declined across the OIC countries, falling on Cote d'Ivoire average from 3.9 children per woman of childbearing age in Senegal 2000 to 3.3 in 2017. Despite this decline over the last 17 Cameroon Afghanistan years, this rate was above that of the World (2.4), the Non- Mauritania OIC Developing (2.2) and the Developed Countries (1.6) Guinea-Bissau group in 2017. Sudan Togo During the 2000-2017 period, the decline in total fertility rate Sierra Leone by at least one child per woman on average was particularly Comoros observed in 24 OIC countries including Afghanistan, Yemen, Gabon Yemen Sierra Leone, Uganda, Djibouti, Palestine, Saudi Arabia, Iraq Chad, Pakistan, Somalia, Qatar, Burkina Faso, Guinea, Palestine Guinea-Bissau, Jordan, Syria, UAE, Iraq, Cote d'Ivoire, Tajikistan Comoros, Bangladesh, Benin, Togo, and Sudan. -
World Fertility and Family Planning 2020: Ten Key Messagespdf
World Fertility and Family Planning 2020 January 2020 . https://www.unpopulation.org . #UNPopulation Long-term population trends are driven largely by fertility. Since the International Conference on Population and Development, held in Cairo in 1994, the international community has committed to actions that guarantee access to sexual and reproductive health, including family planning, and the realization of reproductive rights for all people. Contraception assists couples and individuals to achieve their reproductive goals, enabling them to exercise the right to have children by choice. The following key findings are based onWorld Fertility and Family Planning 2020: Highlights, prepared by the Population Division of the United Nations Department of Economic and Social Affairs (UN DESA). Ten key messages 1. Although women are having fewer babies, fertility remains high in some regions From 1990 to 2019, the global fertility rate fell from 3.2 to 2.5 live births per woman. Today, close to half of the world’s population lives in a country where lifetime fertility is below 2.1 live births per woman.1 The decline in fertility ranged from 1.9 births per woman in Central and Southern Asia to 0.1 births per woman in Australia and New Zealand, Europe and Northern America. In sub-Saharan Africa, the region with the highest fertility levels, the total fertility rate dropped from 6.3 to 4.6 births per woman. Fertility levels also fell in Oceania (from 4.5 to 3.4), Northern Africa and Western Asia (from 4.4 to 2.9), Latin America and the Caribbean (from 3.3 to 2.0), and Eastern and South-Eastern Asia (from 2.5 to 1.8). -
SF2.1. Fertility Rates
OECD Family Database, oe.cd/fdb 1 SF2.1. Fertility rates Definitions and methodology This indicator presents information on levels and trends in fertility rates and the distribution of births by birth order. Fertility rates are captured through two measures: The Total Fertility Rate (TFR), or the average number of children born per woman over a lifetime given current age-specific fertility rates and assuming no female mortality during reproductive years. TFRs are computed as the sum of age-specific fertility rates defined over five-year intervals. Data on the TFR come mostly from national statistical offices and other international organisations (e.g. Eurostat and the World Bank). Assuming no migration and that mortality rates remain unchanged, a TFR of 2.1 children per woman is generally sufficient to generate a stable size of the population within a given country. A TFR above or below this ‘population replacement rate’ is likely to produce population growth and population decline, respectively. Completed Cohort Fertility (CCF), or the average number of children born to women belonging to certain cohort over the whole of their reproductive lives. Data on completed cohort fertility come from the Human Fertility Database (HFD), which calculates completed cohort fertility for a given cohort if data are available for that cohort at age 44 or above and by using data for the highest available age up to age 50. The distribution of births by birth order is measured through the distribution of births by the rank of the birth from the perspective of the biological mother. Three rank groups are used here – first births, second births, and third or higher births. -
The Fertility-Sex Ratio Trade-Off: Unintended Consequences of Financial Incentives
IZA DP No. 8044 The Fertility-Sex Ratio Trade-off: Unintended Consequences of Financial Incentives S Anukriti March 2014 DISCUSSION PAPER SERIES Forschungsinstitut zur Zukunft der Arbeit Institute for the Study of Labor The Fertility-Sex Ratio Trade-off: Unintended Consequences of Financial Incentives S Anukriti Boston College and IZA Discussion Paper No. 8044 March 2014 IZA P.O. Box 7240 53072 Bonn Germany Phone: +49-228-3894-0 Fax: +49-228-3894-180 E-mail: [email protected] Any opinions expressed here are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but the institute itself takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. -
Difference at Marriage, and Population Growth in Humans, and Their Significance for Sex Ratio Evolution
Heredity (1974),33 (2), 265-278 A BUFFERED INTERACTION BETWEEN SEX RATIO, AGE DIFFERENCE AT MARRIAGE, AND POPULATION GROWTH IN HUMANS, AND THEIR SIGNIFICANCE FOR SEX RATIO EVOLUTION AVIGDOR BElLES Deportment of Genetics, The Hebrew University of Jerusalem, Jerusalem, Israel Received1 .i.74 SUMMARY The presence, in man, of a significant high sex ratio at birth (Mb) is a biological fact, and its evolution is not satisfactorily explained by differential mortality of males. Such a high sex ratio could have evolved primarily as a buffering inter- action between growth rate or increase of human population (Rb) and age difference at marriage (d). The interaction of R5 with d will transform a high M5 to a lower sex ratio at mating (Mm). The model developed to account for the interaction also shows that d is able to adjust and to achieve a balanced Mm over a relatively broad range. The limits set on dare both biological and cultural; in practically all cultures males father children when they are older than their spouses. A buffered range develops where the balanced Mm is maintained in spite of temporal fluctuations or genetic fixations in Mb, Rb, and some additional factors. A realistic necessary condition for the operation of the buffered system is the combination of Rt> l00, d> 0, and Mb> 100. Buffering of male excesses will be achieved more efficiently than buffering of female excesses, i.e. the range is asymmetrical. Inside the range, selective pressures will be caused by the longer generation time of the males, rather than by unmated excess of either sex. -
Depopulation in the Baltic States
DEPOPULATION IN THE BALTIC STATES Peteris Zvidrins Centre of Demography, University of Latvia 19 Rainis boulv., Riga, Latvia LV 1586, Phone: 371-67034787 or 371-29103629 (mob.) Fax: 371-67034787 E-mail: [email protected] The purpose of this paper is to characterize the level and dynamics of population reproduction in the three Baltic States (Estonia, Latvia and Lithuania) in the last two decades and analyze determinants of population decline. The collapse of the Soviet Union and the regaining of political independence in the Baltic States cardinally changed social and economic conditions and demographic developments. This inevitably led to fundamental changes in reproductive and migratory behaviour of population. As a result, the net migration in all Baltic States has become negative since 1990, and only in Estonia and Lithuania it was slightly positive in some years around the turn of centuries. After the accession to the European Union in 2004 emigration from the Baltic States even increased. The excess of deaths over births has been since 1991. A characteristic feature of the demographic development is the decrease of the population (depopulation) both the titular ethnicities (Estonians, Latvians and Lithuanians) and ethnic minorities. The total number of population in the Baltics decreased from 7.9 million in 1990 to less than 7.0 in 2009, or by 12%. Thus, the Baltic States have one of the highest population loss indicators in the world. Estonia and Latvia have had a low fertility rate since the beginning of the 20th century, and it has not ensured even a simple level of population replacement. -
Is China's Low Fertility Rate Caused by the Population Control Policy?
Working Paper No. 943 Is China’s Low Fertility Rate Caused by the Population Control Policy? by Liu Qiang Nanjing Agricultural University Fernando Rios-Avila Levy Economics Institute of Bard College and Han Jiqin Nanjing Agricultural University January 2020 The Levy Economics Institute Working Paper Collection presents research in progress by Levy Institute scholars and conference participants. The purpose of the series is to disseminate ideas to and elicit comments from academics and professionals. Levy Economics Institute of Bard College, founded in 1986, is a nonprofit, nonpartisan, independently funded research organization devoted to public service. Through scholarship and economic research it generates viable, effective public policy responses to important economic problems that profoundly affect the quality of life in the United States and abroad. Levy Economics Institute P.O. Box 5000 Annandale-on-Hudson, NY 12504-5000 http://www.levyinstitute.org Copyright © Levy Economics Institute 2020 All rights reserved ISSN 1547-366X ABSTRACT Whether China’s low fertility rate is the consequence of the country’s strict population control policy is a puzzling question. This paper attempts to disentangle the Chinese population control policy’s impacts on the fertility rate from socioeconomic factors using the synthetic control method proposed by Abadie and Gardeazabal (2003). The results indicate that the population control policy significantly decreased China’s birth rate after the “Later, Longer, and Fewer” policy came into force, but had little effect on the birth rate in the long run. We estimate that between 164.2 million and 268.3 million prevented births from 1971 to 2016 can be attributed to the Chinese population control policy.