2015 World Population Data Sheet 7.3

Transcription

1 POPULATION REFERENCE BUREAU 2015 World Data Sheet with a special focus on women s empowerment 71 Worldwide average life expectancy in years 73 years for women, 69 years for men. 7.3 billion The world population in $15,030 Average global gross national income per capita $39,020 in more developed countries, $2,270 in least developed. INFORM EMPOWER ADVANCE

2 MOST POPULOUS COUNTRIES, 2015 AND COUNTRY, 2015 POPULATION (MILLIONS) COUNTRY, 2050 POPULATION (MILLIONS) China 1,372 India 1,314 United States 321 Indonesia 256 Brazil 205 Pakistan 199 Nigeria 182 Bangladesh 160 Russia 144 Mexico 127 India 1,660 China 1,366 United States 398 Nigeria 397 Indonesia 366 Pakistan 344 Brazil 226 Bangladesh 202 Congo, Dem. Rep. 194 Ethiopia 165 COUNTRIES WITH THE HIGHEST AND LOWEST TOTAL FERTILITY RATES HIGHEST 2015 Niger 7.6 South Sudan 6.9 Congo, Dem. Rep. 6.6 Somalia 6.6 Chad 6.5 Burundi 6.2 Central African Republic 6.2 Angola 6.1 Burkina Faso 6.0 Mali 5.9 Mozambique 5.9 Uganda 5.9 LOWEST 2015 Bosnia-Herzegovina 1.2 Korea, South 1.2 Portugal 1.2 Taiwan 1.2 Greece 1.3 Moldova 1.3 Poland 1.3 Romania 1.3 Singapore 1.3 Spain 1.3 NOTE: 2015 data refer to latest data available Reference Bureau See notes on page WORLD POPULATION DATA SHEET 2

3 POPULATION CLOCK, 2015 WORLD MORE DEVELOPED COUNTRIES LESS DEVELOPED COUNTRIES 7,336,435,000 1,254,199,000 6,082,235,000 Births per Deaths per Natural increase per Infant deaths per Year 145,973,000 13,760, ,213,000 Day 399,926 37, ,226 Minute Year 57,052,000 12,283,000 44,769,000 Day 156,306 33, ,654 Minute Year 88,921,000 1,477,000 87,444,000 Day 243,620 4, ,573 Minute Year 5,351,000 73,000 5,278,000 Day 14, ,459 Minute Reference Bureau See notes on page WORLD POPULATION DATA SHEET 3

4 WORLD POPULATION HIGHLIGHTS FOCUS ON WOMEN S EMPOWERMENT Rates of Early Marriage Fall, Particularly Among Those Under 15 Women Post Uneven Gains in Household Decisionmaking Power Rates of Early Marriage Fall, Particularly Among Those Under 15 Early marriage (before age 18) undermines the rights and livelihood opportunities of adolescent girls by leaving them vulnerable to the health risks of early pregnancy and childbearing, and prematurely ending their schooling. Rates of early marriage have declined broadly in the past 20 years, particularly among girls who are under age 15. Part of the overall decline refl ects improvements in girls access to education: As girls educational attainment improves, the proportion marrying early tends to fall. Better employment opportunities for women and girls also can help delay marriages. In Bangladesh, expanded employment in the garment industry is linked to notably lower rates of marriage among rural migrants under age 15. The percentage of Bangladeshi girls married by age 18 has declined much more slowly as the youngest potential brides tend to postpone marriage by only a few years. The majority of Bangladeshi girls continue to marry before age 18. Percent of Young Women Married by Age 15 (numbers in white) and Age 18 (numbers in black) Niger Bangladesh 2000 Ethiopia Egypt Peru 2012 Source: ICF International, Demographic and Health Surveys Reference Bureau 2015 WORLD POPULATION DATA SHEET 4

5 WORLD POPULATION HIGHLIGHTS FOCUS ON WOMEN S EMPOWERMENT Rates of Early Marriage Fall, Particularly Among Those Under 15 Women Post Uneven Gains in Household Decisionmaking Power Women Post Uneven Gains in Household Decisionmaking Power Married women in many countries are increasingly likely to have a say in household decisions, but these gains do not necessarily apply to every type of decision. When women are included in decisions about household spending, more money tends to be spent for the benefi t of women and children. And when women are able to make decisions about their health care, they are less vulnerable to preventable diseases. Progress in these areas has varied by country, and even in countries showing notable gains, many women still do not engage in all types of important decisions. For example, in Nepal, only 66 percent of women have a say about their own health care decisions. The same percentage of Zambian women have the opportunity to make decisions about large household purchases. Percent of Currently Married Women Who Have a Say in Decisions About This Topic Own Health Large Purchases Mali Nepal Zambia Peru Jordan Source: ICF International, Demographic and Health Surveys Reference Bureau 2015 WORLD POPULATION DATA SHEET 5

6 WORLD POPULATION HIGHLIGHTS FOCUS ON WOMEN S EMPOWERMENT Rates of Early Marriage Fall, Particularly Among Those Under 15 Women Post Uneven Gains in Household Decisionmaking Power Family Planning Needs Increasingly Met by Modern Methods, but More Progress Needed Demand for family planning satisfi ed with modern methods has emerged as a key indicator of contraceptive availability and use. The indicator measures the proportion of women who want to delay or limit childbearing and who are using modern methods of contraception. Family planning experts have urged countries to strive for meeting at least 75 percent of demand with modern methods. Over the past two decades, a signifi cant number of less developed countries have seen increases in the share of demand satisfi ed with modern methods, but many countries remain far below the proposed 75 percent benchmark. They will need to accelerate progress over the coming decade so that increased contraceptive use can translate into improved maternal and child health, slower population growth, increased economic well-being, and environmental sustainability. Percent of Demand for Family Planning Satisfied by Modern Contraceptive Methods Egypt Jordan 40 Kenya Philippines Pakistan Nigeria 13 Senegal Note: Data points are for each corresponding survey year. Source: ICF International, Demographic and Health Surveys Reference Bureau 2015 WORLD POPULATION DATA SHEET 6

7 WORLD POPULATION HIGHLIGHTS FOCUS ON WOMEN S EMPOWERMENT Rates of Early Marriage Fall, Particularly Among Those Under 15 Acceptance of Wife Beating Recedes Women Post Uneven Gains in Household Decisionmaking Power Violence against women poses a serious challenge to women s empowerment. Combating such violence often requires changing the attitudes and beliefs of both men and women. In fact, in some countries, substantial percentages of women actually agree that a husband has the right to beat a wife under certain circumstances. Many of these women believe a husband is justifi ed in hitting a wife who goes out on her own without telling the husband. It is encouraging that these beliefs appear to be moderating in most countries. For example, in 2013, 13 percent of Nigerian men and 25 percent of Nigerian women viewed a wife leaving home without telling the husband as justifi cation for wife beating, down from 19 percent and 32 percent, respectively, in Zambia also showed notable drops for both men and women between 2007 and Globally, however, there is still a long path to achieve zero global tolerance of this harmful practice. Percent Who Agree That Husband Is Justified Beating Wife if She Leaves the House Without Informing Him Women Men Uganda Nigeria Zambia Indonesia 2012 Source: ICF International, Demographic and Health Surveys Reference Bureau 2015 WORLD POPULATION DATA SHEET 7

8 WORLD POPULATION HIGHLIGHTS FOCUS ON WOMEN S EMPOWERMENT Rates of Early Marriage Fall, Particularly Among Those Under 15 Financial Inclusion of Women Expands Women Post Uneven Gains in Household Decisionmaking Power Financial inclusion making appropriate, affordable, and convenient fi nancial services available to all people is a global development priority. For women, access to savings, credit, and other services can help them gain more fi nancial independence, better manage and leverage their resources, and build capital to support income-generating activities. A core measure of fi nancial inclusion is whether an individual uses an account at a bank or other formal fi nancial institution. In most countries, even many least developed ones, the share of women with such accounts has increased over the past few years. Gaps remain between men and women, but these have narrowed in many cases, and most developed countries show effective gender parity at high levels of usage. Rapid expansion of mobile money and other fi nancial services available via mobile devices, particularly in Africa, provide a convenient way for both men and women to access such services. Women are currently using mobile more than other formal accounts in several African countries (see table). Percent Who Have Used an Account at a Formal Financial Institution in the Past 12 Months, 2011 and 2014 Congo, Dem. Rep. Cambodia Colombia Women 3 9 Men 5 13 Women 4 11 Men 4 Women Men Numbers in white show percent in 2011 Numbers in black show percent in Percent of Women Using Financial Services by Type, 2014 Mobile Financial Services Other Formal Financial Institution Côte d'ivoire Uganda Tanzania Zimbabwe India Women Men Ukraine Women Men Canada Women Men Source: World Bank, Global Findex Database Reference Bureau 2015 WORLD POPULATION DATA SHEET 8

9 Zambia Indonesia WORLD POPULATION HIGHLIGHTS Rates of Early Marriage Fall, Particularly Among Those Under 15 ancial Source: ICF International, Demographic and Health Surveys. FOCUS ON WOMEN S EMPOWERMENT U.S. Gender Gap in College Completion Eases; Earnings Gap Persists Women Post Uneven Gains in Household Decisionmaking Power Educational attainment in the United States has risen substantially over the last four decades. Between 1970 and 2014, the share of men ages 25 and older with at least a college degree climbed from 14 percent to 32 percent, while the share of adult women with at least a college degree quadrupled from 8 percent to 32 percent. For ages 25 to 29 only, the share of women with a bachelor s degree or higher actually started outpacing the share for men in But women still lag behind men in earnings. Among full-time, year-round workers ages 25 and older in 2013, women s median earnings were about 79 percent of men s, up from 71 percent in 1993 (see table). This gender earnings gap persists across all educational levels. For bachelor s degree holders, one factor may be that women are less likely to get degrees in higher-earning fi elds such as science and engineering. In 2013, among adults ages 25 and older with a bachelor s degree, only 26 percent of women had a degree in science and engineering, compared with 44 percent of men. However, even among full-time, year-round workers with engineering degrees, women s median earnings in 2011 were only 83 percent of men s Other Formal Financial Institution Percent Who Have Completed College, by Age Women 25+ Men 25+ Women Men Female-to-Male Median Earnings Ratio Among Full-Time Year-Round Workers Ages 25 and Older by Education High School Some College, No Degree Bachelor s Degree Bachelor s Degree or More All Levels Note: Ratios are expressed as a percent Source: U.S. Census Bureau: 1970 to 2002 March Current Survey; 2003 to 2014 Annual Social and Economic Supplement to the Current Survey; American Community Survey Brief (Oct. 2012); and PRB analysis of data from the 2013 American Community Survey Reference Bureau 2015 WORLD POPULATION DATA SHEET 9

10 WORLD POPULATION HIGHLIGHTS FOCUS ON WOMEN S EMPOWERMENT Rates of Early Marriage Fall, Particularly Among Those Under 15 Women Post Uneven Gains in Household Decisionmaking Power 9.8 BILLION Projected 2050 world population, up 2.5 billion from ,339 per square kilometer of arable land in South Korea. 12 Infant mortality rate per 1,000 live births in Kosovo, the highest rate in Europe. 52% The percentage of married women ages in Peru who use modern contraception. 28 The number of maternal mortality deaths per 100,000 live births in the United States, up from 12 in % The percentage of women in Swaziland ages infected with HIV/AIDS, vs. 7.2% for men in same age group. 4.4 The total fertility rate (lifetime births per woman) in Yemen. 58% The percentage of Rwanda s parliament members who are women the world s highest percentage Reference Bureau 2015 WORLD POPULATION DATA SHEET 10

11 POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD Net Migration Rate per 1,000 Percent of GNI per Capita ($US) Percent 2014 c Urban per Square Kilometer of Arable Land Percent of Married Women Using Contraception d mid-2015 (millions) Births per 1,000 Deaths per 1,000 mid-2030 (millions) mid-2050 (millions) Infant Mortality Rate a Total Fertility Rate b Age <15 Age 65+ All Methods Modern Methods WORLD 7, ,505 9, , MORE DEVELOPED 1, ,295 1, , LESS DEVELOPED 6, ,210 8, , LESS DEVELOPED (Excl. China) 4, ,779 7, , LEAST DEVELOPED ,300 1, , AFRICA 1, ,658 2, , SUB-SAHARAN AFRICA ,369 2, , NORTHERN AFRICA , Algeria , Egypt , , Libya , Morocco , Sudan , Tunisia , Western Sahara e WESTERN AFRICA , Benin , Burkina Faso , Cape Verde , , Côte d Ivoire , Gambia , Ghana , Guinea , Guinea-Bissau , Liberia Mali , Mauritania , Niger Nigeria , Senegal , Sierra Leone , Togo , EASTERN AFRICA , Burundi Comoros , Djibouti , Eritrea , Ethiopia , Kenya , Madagascar , Malawi Mauritius , , Mayotte Mozambique , Reunion Rwanda , Seychelles , ,173 Somalia Reference Bureau See notes on page WORLD POPULATION DATA SHEET 11

12 POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD Percent of Married Women Using Contraception d Net Percent GNI per Births Deaths Migration Infant Total of Capita per Square mid-2015 per 1,000 per 1,000 Rate per mid-2030 mid-2050 Mortality Fertility Age Age ($US) Percent Kilometer All Modern Seychelles (millions) ,000 6 (millions) 0.1 (millions) 0.1 Rate 12.7 Rate 2.4 < , c Urban 54 of Arable 9,173 Land Methods Methods WORLD Somalia 7, , , , MORE South Sudan DEVELOPED 1, , , ,020 2, LESS Tanzania DEVELOPED 6, , , ,870 2, LESS Uganda DEVELOPED (Excl. China) 4, , , ,740 1, LEAST ZambiaDEVELOPED , , ,270 3, AFRICA Zimbabwe 1, , , ,720 1, MIDDLE SUB-SAHARAN AFRICA AFRICA , , ,680 3, NORTHERN Angola AFRICA ,740 7, Cameroon Algeria ,540 2, Central Egypt African Republic , , Chad Libya ,190 2, Morocco Congo ,180 5, Sudan Congo, Dem. Rep , , Tunisia Equatorial Guinea ,600 22, Western Gabon Sahara e , WESTERN Sao Tome AFRICA and Principe ,040 3, , SOUTHERN Benin AFRICA ,290 1, Burkina Botswana Faso ,460 1, Cape Lesotho Verde ,260 6, , Namibia Côte d Ivoire ,880 3, South Gambia Africa ,700 1, Swaziland Ghana ,940 3, AMERICAS Guinea , , ,900 1, NORTHERN Guinea-Bissau AMERICA ,620 1, Canada Liberia , Mali United States ,860 1, LATIN Mauritania AMERICA AND THE CARIBBEAN ,260 3, CENTRAL Niger AMERICA , Nigeria Belize ,680 7, Senegal Costa Rica ,900 2, , Sierra El Salvador Leone ,830 7, Togo Guatemala ,310 7, , EASTERN HondurasAFRICA ,930 4, Mexico Burundi , Nicaragua Comoros ,670 1, Panama Djibouti , , CARIBBEAN Eritrea ,800 1, Antigua Ethiopiaand Barbuda ,120 1, , Kenya Bahamas ,310 2, , Madagascar Barbados ,750 1, , Malawi Cuba , Mauritius Curaçao , , Mayotte Dominica , , Mozambique Dominican Republic ,450 1, , Reunion Grenada , , Rwanda Guadeloupe , Haiti Seychelles ,630 1, ,092 9, Jamaica Somalia , , Martinique South Sudan , Puerto Tanzania Rico ,960 2, , Reference Bureau See notes on page WORLD POPULATION DATA SHEET 12 Life Expectancy at Birth (years) Both Sexes Males Fe Uganda , Zambia ,

13 POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD Net Migration Rate per Percent of Births Deaths Infant Total mid-2015 per 1,000 per 1,000 mid-2030 mid-2050 Mortality Fertility Age Age Percent All Modern (millions) 1,000 (millions) (millions) Rate a Rate b < c Urban of Arable Land Methods Methods WORLD Puerto Rico 7, , , ,030 23, , MORE St. Kitts-Nevis DEVELOPED 1, , , ,020 21, LESS St. Lucia DEVELOPED 6, , , ,230 9, , LESS St. Vincent DEVELOPED and the (Excl. Grenadines China) 4, , , ,610 8, , LEAST Trinidad DEVELOPED and Tobago , , ,220 2, , SOUTH AFRICAAMERICA 1, , , ,850 4, SUB-SAHARAN Argentina AFRICA , , , NORTHERN Bolivia AFRICA ,740 6, Brazil Algeria ,900 13, Chile Egypt ,570 11, ,347 3, Colombia Libya ,600 16, , Ecuador Morocco ,120 7, , French Sudan Guiana , Guyana Tunisia ,600 6, Paraguay Western Sahara e , WESTERN Peru AFRICA ,510 4, Benin Suriname ,960 1, Burkina UruguayFaso ,220 1, Cape Venezuela Verde ,140 6, ,090 1, ASIA Côte d Ivoire 4, , , ,450 3, ASIA Gambia (Excl. China) 3, , , ,480 1, WESTERN Ghana ASIA ,130 3, Guinea Armenia ,140 8, Guinea-Bissau Azerbaijan ,910 1, Liberia Bahrain , , Cyprus Mali ,800 1, , Georgia Mauritania ,510 3, Iraq Niger , , Israel Nigeria ,550 5, , Jordan Senegal ,910 2, , Kuwait Sierra Leone ,700 1, , Lebanon Togo ,330 1, , EASTERN Oman AFRICA ,240 1, , Palestinian Burundi Territory , , Qatar Comoros , , Saudi Djibouti Arabia , , Syria Eritrea , Turkey Ethiopia ,040 1, Kenya United Arab Emirates ,750 2, , Yemen Madagascar ,820 1, , SOUTH Malawi CENTRAL ASIA 1, , , , CENTRAL Mauritius ASIA ,290 9, , Kazakhstan Mayotte , Kyrgyzstan Mozambique ,220 1, Tajikistan Reunion , Turkmenistan Rwanda ,520 1, Uzbekistan Seychelles ,630 5, , SOUTH SomaliaASIA 1, , , , Afghanistan South Sudan ,980 2, Bangladesh Tanzania ,340 2, , Reference Bureau See notes on page WORLD POPULATION DATA SHEET 13 GNI per Capita ($US) per Square Kilometer Percent of Married Women Using Contraception d Life Expectancy at Birth (years) Both Sexes Males Fe Uganda , Zambia ,

14 POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD Net Migration Rate per Percent of Births Deaths Infant Total mid-2015 per 1,000 per 1,000 mid-2030 mid-2050 Mortality Fertility Age Age Percent All Modern (millions) 1,000 (millions) (millions) Rate a Rate b < c Urban of Arable Land Methods Methods WORLD Bangladesh 7, , , ,030 3, , MORE BhutanDEVELOPED 1, , , ,020 7, LESS IndiaDEVELOPED 6,082 1, ,210 1, ,495 1, ,870 5, LESS Iran DEVELOPED (Excl. China) 4, , , ,080 8, LEAST Maldives DEVELOPED , , ,770 2, , AFRICA Nepal 1, , , ,720 2, , SUB-SAHARAN Pakistan AFRICA , , ,480 5, NORTHERN Sri Lanka AFRICA ,270 9, , SOUTHEAST Algeria ASIA ,720 13, Brunei Egypt ,020 11, ,796 3, Cambodia Libya ,190 3, Morocco Indonesia ,250 7, , Sudan Laos ,980 4, Tunisia Malaysia ,600 23, , Western MyanmarSahara WESTERN PhilippinesAFRICA ,040 8, , Benin Singapore ,270 1, , Thailand Burkina Faso ,950 1, Timor-Leste Cape Verde ,680 6, , Viet Côte Nam d Ivoire ,350 3, , EAST Gambia ASIA 1, , , ,040 1, , China Ghana 1, , , ,130 3, , China, GuineaHong Kong SAR f ,570 1, , China, Guinea-Bissau Macao SAR f , Japan Liberia , , Korea, Mali North , , Korea, Mauritania South ,620 3, , Mongolia Niger , Taiwan Nigeria , EUROPE Senegal ,650 2, EUROPEAN Sierra LeoneUNION ,280 1, NORTHERN Togo EUROPE ,340 1, EASTERN Channel Islands AFRICA , , Denmark Burundi , Estonia Comoros ,690 1, Finland Djibouti , , Iceland Eritrea ,530 1, Ireland Ethiopia ,820 1, Kenya Latvia ,150 2, Madagascar Lithuania ,390 1, Malawi Norway , Mauritius Sweden ,290 46, , Mayotte United Kingdom , , WESTERN Mozambique EUROPE ,790 1, Austria Reunion , Belgium Rwanda ,030 1, , France Seychelles ,720 24, , Germany Somalia , Liechtenstein South Sudan , , Luxembourg Tanzania ,830 2, Reference Bureau See notes on page WORLD POPULATION DATA SHEET 14 GNI per Capita ($US) per Square Kilometer Percent of Married Women Using Contraception d Life Expectancy at Birth (years) Both Sexes Males Fe Uganda , Zambia ,

15 POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD Percent of Married Women Using Contraception d Net Percent GNI per Births Deaths Migration Infant Total of Capita per Square mid-2015 per 1,000 per 1,000 Rate per mid-2030 mid-2050 Mortality Fertility Age Age ($US) Percent Kilometer All Modern Liechtenstein (millions) ,000 4 (millions) 0.04 (millions) 0.05 Rate 3.3 Rate 1.5 < Urban 15 of Arable 1,249 Land Methods Methods WORLD Luxembourg 7, , , ,030 57, MORE Monaco DEVELOPED 1, , , , LESS Netherlands DEVELOPED 6, , , ,660 9, , LESS Switzerland DEVELOPED (Excl. China) 4, , , ,600 8, , EASTERN LEAST DEVELOPED EUROPE , , ,130 2, AFRICA Belarus 1, , , ,610 4, SUB-SAHARAN Bulgaria AFRICA , , ,850 3, NORTHERN Czech Republic AFRICA ,970 9, Hungary Algeria ,830 13, Moldova Egypt ,020 5, , Poland Libya ,090 16, Romania Morocco ,030 7, Russia Sudan g ,710 3, Slovakia Tunisia ,970 10, Ukraine Western g Sahara e , SOUTHERN WESTERN AFRICA EUROPE ,730 4, Albania Benin ,260 1, Andorra Burkina Faso , , Bosnia-Herzegovina Cape Verde ,020 6, , Croatia Côte d Ivoire ,560 3, Greece Gambia ,130 1, Italy Ghana ,710 3, Kosovo Guinea h ,410 1, Macedonia Guinea-Bissau i ,600 1, Malta Liberia , , Montenegro Mali ,510 1, Portugal Mauritania ,010 3, San Niger Marino , Serbia Nigeria ,150 5, Slovenia Senegal ,650 2, , Spain Sierra Leone ,860 1, OCEANIA Togo ,600 1, EASTERN Australia AFRICA ,880 1, Federated Burundi States of Micronesia , , Fiji Comoros ,030 1, French Djibouti Polynesia ,265 38, Guam Eritrea , , Kiribati Ethiopia ,580 1, , Marshall Kenya Islands ,630 2, , Nauru Madagascar , New Malawi Caledonia , New Mauritius Zealand ,760 18, , Palau Mayotte , , Papua Mozambique New Guinea ,510 1, , Samoa Reunion , , Solomon Rwanda Islands ,020 1, , Tonga Seychelles ,630 5, , Tuvalu Somalia , Vanuatu South Sudan ,870 2, , Tanzania , Reference Bureau See notes on page WORLD POPULATION DATA SHEET 15 Life Expectancy at Birth (years) Both Sexes Males Fe Uganda , Zambia ,

16 POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD Percent Percent Percent of Married Maternal Percent Ages Tertiary Gender Ratio of Female Share of Female Share Percent of Married GNI per Women Using Life Expectancy Deaths per Capita per Square Contraception d Net With Secondary School School Gender Percent Labor Force GNI per Nonagricultural of Parliament Women Using Birth (years) Births Deaths 100,000 Births Migration HIV/AIDS Enrollment Infant Ratio Total Parity Index of Participation Capita Rates Wage Earners per Square MembersContraception ($US) Kilometer All Modern Both mid-2015 per 1,000 per 1,000 Rate per Males mid-2030 Females mid-2050 Males Mortality Females Fertility Age Age ($US) Kilometer All Modern 2014 c Urban of Arable Land Methods Methods Sexes (millions) Males Females , (millions) /2014 (millions) 2008/2014 Rate a Rate 2008/2014 < Urban 2008/2013 of Arable Land 2015Methods Methods 15, WORLD , ,505 9, , , MORE DEVELOPED , ,295 1, , , LESS DEVELOPED , ,210 8, , , LESS DEVELOPED 612 (Excl. 54China) 46 4, , , , , LEAST DEVELOPED , , , , AFRICA , , , , , SUB-SAHARAN 484 AFRICA , , , , NORTHERN 500AFRICA < < , ,540 73Algeria <0.1 < , ,020 43Egypt 3, < < , , ,190 78Libya , ,180 60Morocco <0.1 < , ,980 33Sudan , ,600 68Tunisia <0.1 < , Western Sahara , WESTERN 402 AFRICA , , ,850 45Benin , ,660 27Burkina Faso , ,320 62Cape Verde 1, , , ,350 50Côte d Ivoire , ,580 57Gambia , ,960 51Ghana , ,140 36Guinea , , ,430 49Guinea-Bissau , Liberia , ,660 39Mali , , ,700 59Mauritania , Niger , < ,680 50Nigeria , , ,290 45Senegal , ,830 41Sierra Leone , , , ,310 38Togo , , EASTERN 560 AFRICA , , Burundi , ,530 28Comoros , Djibouti 38, , ,180 21Eritrea , , ,500 17Ethiopia , , ,890 24Kenya , ,400 33Madagascar , Malawi , ,290 41Mauritius 1, , , Mayotte ,170 31Mozambique , , Reunion ,530 28Rwanda , , ,630 54Seychelles 9, , , Somalia , , South Sudan , , ,530 30Tanzania , , Uganda 582 Reference 27Bureau See notes on page , WORLD 582 POPULATION DATA 26 SHEET ,860 40Zambia , Life Expectancy at Birth (years) Both Sexes Males Fe