2017 World Population Data Sheet WITH A SPECIAL FOCUS ON YOUTH

Transcription

1 2017 World Data Sheet WITH A SPECIAL FOCUS ON YOUTH 7.5 BILLION The world population in Births per 1,000 women ages in least developed countries, 16 per 1,000 in more developed. 1.2 BILLION The world youth population (ages 15-24) in View the Digital Data Sheet at POPULATION REFERENCE BUREAU INFORM EMPOWER ADVANCE

2 FOCUS ON YOUTH worldpopdata.org 2017 Most Populous Countries (Millions) UNITED CHINA INDIA STATES INDONESIA BRAZIL PAKISTAN NIGERIA BANGLADESH RUSSIA MEXICO 1,387 1, UNITED CONGO, INDIA CHINA NIGERIA STATES INDONESIA PAKISTAN BRAZIL DEM. REP. BANGLADESH ETHIOPIA 1,676 1, HIGHEST Total Fertility Rates, 2017 CONGO, BURKINA NIGER CHAD SOMALIA DEM. REP. ANGOLA MALI FASO NIGERIA BURUNDI GAMBIA LOWEST BOSNIA- SOUTH KOREA TAIWAN ROMANIA SINGAPORE HERZEGOVINA ITALY SPAIN GREECE MOLDOVA LIECHTENSTEIN Reference Bureau 2017 WORLD POPULATION DATA SHEET 1

3 FOCUS ON YOUTH worldpopdata.org NEET Rates Show Youth Development Challenges, Especially for Young Women Percent of Youth Ages Not in Education, Employment, or Training, by Gender and Income Group What Is NEET? The NEET indicator (Not in Education, Employment, or Training) measures the percentage of youth typically ages 15 to 24 who are not in the education system, not working, and not in work training. They are missing out on chances to develop their potential in adulthood. Except for most high-income countries, NEET rates generally are much higher for young women than young men. Young women often have less access to jobs, education, and training, and are more likely to be fully engaged in nonlabor-market activities, such as caregiving and household work. Middle-income countries, especially the lower middle-income countries, have the highest NEET rates and the largest gender disparities. Many low-income countries do not have data on NEET, but when they do, the rates are generally low since many youth are engaged in low productivity, informal agricultural or urban livelihood activities. Given rapidly growing youth populations in low-income countries, particularly sub-saharan Africa, NEET rates are likely to rise unless investments are made in more educational and job opportunities for youth. Notes: Classification of NEET categories may vary slightly across countries as referenced in ILOSTAT. The four income groups refer to the World Bank s Country Classification in The income group thresholds for the four groups in 2017 are based on gross national income per capita in 2015 (calculated using the World Bank Atlas method). Unlike standard unemployment measures, the NEET measure also includes youth who are not actively looking for work or not available to work. Sources: International Labor Organization, ILOSTAT; World Bank, World Development Indicators. TOTAL YOUTH POPULATION (IN MILLIONS) Saudi Arabia Italy Spain United Kingdom Australia Czech Republic Sweden Japan Turkey South Africa Mexico Brazil Lebanon Romania Thailand Russia Honduras Guatemala Bangladesh Egypt Armenia Indonesia Philippines Ukraine Iran Gambia Nepal Tanzania Mali Togo Mozambique Uganda Income Groups High $12,476 or More Males Females Upper Middle $4,036 to $12,475 Males Females Lower Middle $1,026 to $4,035 Males Females Low $1,025 or Less Males Females Reference Bureau 2017 WORLD POPULATION DATA SHEET 2

4 FOCUS ON YOUTH worldpopdata.org In the United States, Racial/Ethnic Disparities Persist as Youth Rebound From Great Recession Before the Great Recession in 2007, one in 10 non- Hispanic white youth ages 16 to 24 were not enrolled in school or working, while this share among minority youth was higher ranging from one in six to one in four. By 2010, the share of youth not in school or working had risen among every racial/ethnic group except Hispanic females, where it decreased slightly. By 2015, the share of youth who were not attending school or working had returned to or dropped below prerecession levels for all gender and racial/ethnic groups except non-hispanic white males. Even so, sizeable gaps remain between white and minority youth particularly black males, where more than one-fifth were still not in school or working in Percent of U.S. Youth Ages Not in School and Not Working: 2007, 2010, and 2015 Non-Hispanic, White Non-Hispanic, Black Males Females Males Females Hispanic/ Latino Males Females Source: PRB analysis of data from U.S. Census Bureau, American Community Survey, Public Use Microdata Samples. Males 2007 Males 2010 Males 2015 Females 2007 Females 2010 Females Reference Bureau 2017 WORLD POPULATION DATA SHEET 3

5 FOCUS ON YOUTH worldpopdata.org More Progress Needed in Meeting Young Married Women s Family Planning Needs With Modern Methods Sustainable Development Goal 5 on gender equality calls for empowering women to make informed decisions about their reproductive health. Over the last two decades, increasing numbers of married women ages 15 to 24 in many low- and middle-income countries have met their family planning needs to delay or limit childbearing with modern methods of contraception. But challenges and barriers unique to younger women slow progress in several countries. Agerestrictive policies, social pressures, and provider bias limit knowledge about available options and access to appropriate methods, leading to higher rates of contraceptive failure and discontinuation after short periods. Addressing these barriers will improve maternal and child health, increase educational attainment, and improve economic opportunities for young women. Percent of Demand for Family Planning Satisfied by Modern Methods, Married Women Ages Egypt Bangladesh Guatemala 31 Philippines Tanzania 14 Mali Senegal Source: ICF, Demographic and Health Surveys Reference Bureau 2017 WORLD POPULATION DATA SHEET 4

6 FOCUS ON YOUTH worldpopdata.org HIV Continues to Affect Young Women Disproportionately in Sub-Saharan Africa HIV/AIDS continues to affect many youth in sub-saharan Africa especially young women despite progress in prevention, testing, and treatment. An estimated 250,000 youth ages 15 to 19 were newly infected with HIV worldwide in 2015, with two out of three living in sub-saharan Africa. Young women accounted for two-thirds of newly infected youth globally and three-quarters in sub-saharan Africa. Young women are more vulnerable to HIV/AIDS because of gender-based violence and less access than young men to secondary school and economic opportunities. These factors hinder young women s ability to negotiate safe sexual practices and to access services for prevention and treatment. Empowering young women through education and employment, and countering gender-based violence, are essential for prevention and early treatment. Percent of Youth Ages Living With HIV, by Gender African Countries With Highest Number of Newly Infected Youth Ages 15-19, 2015 Estimates South Africa 59,000 Zambia 6,800 Kenya 18,000 Zimbabwe 6,400 Uganda 9,600 Tanzania 5,500 Mozambique 9,400 Cameroon 4, Botswana South Africa Zambia Zimbabwe Malawi Kenya Uganda Males Females Sources: UNAIDS, AIDSinfo Database; UNICEF, For Every Child, End AIDS Seventh Stocktaking Report (New York: UNICEF, 2016) Reference Bureau 2017 WORLD POPULATION DATA SHEET 5

7 FOCUS ON YOUTH worldpopdata.org Youth Worldwide Face Growing Risk From Noncommunicable Diseases Tobacco use, harmful use of alcohol, lack of exercise, and unhealthy dietary habits typically take root in adolescence or young adulthood and are key risk factors for developing the main noncommunicable diseases (NCDs) later in life notably, cardiovascular diseases, chronic lung diseases, diabetes, and cancers. NCDs are a growing problem in every region of the world; the four risk behaviors are already at high levels or are increasing among youth, including in many low- and middle-income countries. Schoolbased education and behavioral change programs are lowering tobacco and alcohol use in some settings. Policy interventions, such as taxation and advertising bans for tobacco products, have also been positive. Addressing youth risk behaviors is key to curbing a growing NCD epidemic in low- and middle-income countries and supporting youth to become healthy adults who contribute to sustainable development of their countries. Percent of Secondary School Students Ages Who Currently Use Alcohol or Tobacco Products, or Are Overweight or Obese, by Gender Current Alcohol Use Argentina (2012) Benin (2016) Vietnam (2013) Current Tobacco Use Indonesia (2014) Zambia (2011) Peru (2010) Overweight or Obese Egypt (2011) Guatemala (2015) Mauritania (2010) Males Females Notes: Current use of tobacco and alcohol is defined as any use in the last 30 days. Peru data refer to current cigarette use only; current tobacco use may be higher. Sources: World Health Organization and U.S. Centers for Disease Control and Prevention, Global School-Based Student Health Survey, Global Youth Tobacco Survey Reference Bureau 2017 WORLD POPULATION DATA SHEET 6

8 FOCUS ON YOUTH worldpopdata.org 9.8 BILLION Projected world population in 2050, up from 7.5 billion in Life expectancy of men in Western Africa and 57 for women, both lowest of any world region. 1.9 The total fertility rate (lifetime births per woman) in France, Sweden, and Ireland, the highest rate in Europe. 28% Percentage of population ages 65 and above in Japan, the world s highest rate. 1, % 52 70% per square kilometer of land in Ecuador. Percentage of women ages in Zambia with HIV/AIDS, 4.1 percent for men. Number of infant deaths per 1,000 live births in Myanmar. Percentage of married or in-union U.S. women using modern contraceptive methods Reference Bureau 2017 WORLD POPULATION DATA SHEET 7

9 POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD Births Deaths Net Migration Infant Total Percent of GNI per Capita per Square Kilometer of Percent of Married Women Using Contraception d mid-2017 per 1,000 per 1,000 Rate per 1,000 mid-2030 mid-2050 Mortality Rate a Fertility Rate b Ages <15 Ages 65+ PPP c 2016 Percent Urban Arable Land (thousands) All Methods Modern Methods WORLD 7, , MORE DEVELOPED 1, , LESS DEVELOPED 6, , LESS DEVELOPED (Excl. China) 4, , LEAST DEVELOPED 1, , AFRICA 1, , NORTHERN AFRICA , Algeria , Egypt , , Libya , Morocco , Sudan , Tunisia , Western Sahara e ,000 SUB-SAHARAN AFRICA 1, ,419 2, , 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 ,247 Mozambique , Reference Bureau See notes on page WORLD POPULATION DATA SHEET 8

10 POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD per Square Percent of Married Women Using Life Expectancy Net Percent Ages Secondary Percent School GNI Tertiary Education per Square Percent of Married Women Using Life Expectanc Kilometer of Contraception d Birth (years) Births Deaths Ages Migration Adolescent With HIV/AIDS Infant Total Enrollment of Ratio per CapitaEnrollment RatioKilometer of Contraception d at Birth (years nt Arable Land All Modern mid-2017 per 1,000 mid-2017 per 1,000 mid-2050 Rate per Fertility mid-2030 Rate Males mid-2050 Females Mortality Fertility Males Ages Females Ages PPPMales c Percent Females Arable Land All Modern n (thousands) Methods Methods Males Females 1,000Ages Rate a 2009/2016 Rate b < / /2016Urban2009/2016 (thousands) Methods Methods Males Fema WORLD , ,189 81, , MORE DEVELOPED , , LESS DEVELOPED , ,046 71, , LESS DEVELOPED 624 (Excl. China) , , , LEAST DEVELOPED , , AFRICA , , NORTHERN 538 AFRICA , Algeria < < , Egypt 3, < < , , Libya , Morocco < < , Sudan , Tunisia < < , Western 15,000 Sahara e , SUB-SAHARAN 534AFRICA , , , , 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 Comoros1, < < , , Djibouti50, , Eritrea , Ethiopia , Kenya , Madagascar , Malawi , Mauritius1, , , Mayotte 2, , Mozambique , Reunion , Rwanda , , Seychelles , , Somalia Reference Bureau See notes 21.5 on page ,336 WORLD POPULATION 15 DATA 14SHEET South Sudan , Tanzania ,

11 POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD Births Deaths Net Migration Infant Total Percent of GNI per Capita per Square Kilometer of Percent of Married Women Using Contraception d Life Expectanc at Birth (years mid-2017 per 1,000 per 1,000 Rate per 1,000 mid-2030 mid-2050 Mortality Rate a Fertility Rate b Ages <15 Ages 65+ PPP c 2016 Percent Urban Arable Land (thousands) All Methods Modern Methods Males Fema WORLD Reunion 7, , , MORE Rwanda DEVELOPED 1, ,421 1, , LESS Seychelles DEVELOPED 6, ,822 28, , LESS Somalia DEVELOPED (Excl. China) 4, , , LEAST South DEVELOPED Sudan 1, ,566 1, AFRICA Tanzania 1, ,833 2, NORTHERN Uganda AFRICA ,046 1, Algeria Zambia ,720 3, Egypt Zimbabwe ,110 1, , MIDDLE Libya AFRICA ,210 2, Morocco Angola ,700 6, Sudan Cameroon ,290 3, Tunisia Central African Republic , Western Chad Sahara e , , SUB-SAHARAN Congo AFRICA 1, , , ,592 5, WESTERN Congo, Dem. AFRICA Rep , , Benin Equatorial Guinea ,020 2, , Burkina Gabon Faso ,720 1, Cape Sao Tome Verdeand Principe ,220 3, , SOUTHERN Côte d'ivoire AFRICA ,467 3, Gambia Botswana ,380 1, Ghana Lesotho ,150 3, Guinea Namibia ,550 1, Guinea-Bissau South Africa ,860 1, Liberia Swaziland , AMERICAS Mali 1, , , ,130 2, NORTHERN Mauritania AMERICA ,554 3, Canada Niger , United NigeriaStates ,030 5, LATIN Senegal AMERICA AND THE CARIBBEAN ,001 2, CENTRAL Sierra Leone AMERICA ,315 1, Belize Togo ,000 1, EASTERN Costa Rica AFRICA ,750 2, , El Burundi Salvador , Guatemala Comoros ,750 1, ,810 1, Honduras Djibouti , , Mexico Eritrea ,740 1, Nicaragua Ethiopia ,390 1, Panama Kenya ,990 3, CARIBBEAN Madagascar , Antigua Malawi and Barbuda ,840 1, , Bahamas Mauritius ,980 22, ,733 5, Barbados Mayotte , ,727 2, Cuba Mozambique , Reunion , Rwanda , , Seychelles , , Somalia Reference Bureau See notes 21.5 on page ,336 WORLD POPULATION 15 DATA 14 SHEET South Sudan , Tanzania ,

12 Togo , EASTERN AFRICA , Burundi Comoros , , Djibouti , Eritrea , Ethiopia POPULATION, HEALTH, 105.0AND ENVIRONMENT 33 7 DATA -0 AND ESTIMATES FOR 48THE COUNTRIES AND 3 REGIONS 1,730 OF 20 THE WORLD Kenya , Madagascar Percent of Married , Percent 40 of Married NI Malawiper Square Women Using Life 18.6 Expectancy 35 8 Net Percent 37.4 Ages Secondary 44Percent School 3 1,140 GNI Tertiary 16 Education per 490 Square Women Using 58 Life 60 Expectanc 65 apita Mauritius Kilometer of Contraception d Birth 1.3(years) Births 10 Deaths Ages Migration -1 Adolescent 1.2 With 1.1 HIV/AIDS Infant 13.7 Total 1.4 Enrollment of 20 Ratio9 per 20,980 CapitaEnrollment 41 RatioKilometer 1,733 of Contraception at 71Birth (years 78 PP c Percent Mayotte Arable Land All Modern mid per 39 1,000 mid-2017 per 1,000 2 mid-2050 Rate -0 per Fertility mid-2030 Rate 0.3 Males mid Females Mortality 4 Fertility 5.0 Males Ages 44 Females Ages 3 PPP Males Percent 47 Females Arable 2,247 Land All Modern Urban Mozambique (thousands) Methods Methods Males 29.7Females ,000-0 Ages Rate /2016 Rate 5.3 < / , /2016Urban /2016 (thousands) 526 Methods 27 Methods 25 Males 56 Fema WORLD Reunion , , , , , MORE Rwanda DEVELOPED , ,421 1, , LESS Seychelles DEVELOPED , , , ,822 28, , LESS Somalia DEVELOPED 624 (Excl. China) , , < , , LEAST South DEVELOPED Sudan , ,566 1, AFRICA Tanzania , ,833 2, NORTHERN Uganda 538 AFRICA ,046 1, , Algeria Zambia < < ,720 3, , Egypt Zimbabwe 3, < < ,110 1, , ,210 79MIDDLE Libya AFRICA ,210 2, , Morocco Angola < < ,700 6, , Sudan Cameroon ,290 3, , Tunisia Central African 397 Republic < < , Western Chad 15,000 Sahara e , , SUB-SAHARAN Congo 534AFRICA , , , ,592 5, WESTERN Congo, Dem. AFRICA 437Rep , , , Benin Equatorial 415 Guinea ,020 2, , , Burkina Gabon Faso ,720 1, , Cape Sao Tome Verde909 and Principe ,220 3, , ,610 55SOUTHERN Côte d'ivoire 841 AFRICA ,467 3, , Gambia Botswana ,380 1, , Ghana Lesotho ,150 3, , Guinea Namibia ,550 1, , Guinea-Bissau South Africa ,860 1, Liberia Swaziland , , AMERICAS Mali , , , ,130 2, ,760 60NORTHERN Mauritania978 AMERICA ,554 3, Canada Niger , , United NigeriaStates ,030 5, , LATIN Senegal AMERICA 494AND THE CARIBBEAN < ,001 2, ,320 40CENTRAL Sierra Leone AMERICA ,315 1, , Belize Togo ,000 1, EASTERN Costa Rica AFRICA ,750 2, , El Burundi Salvador , , Guatemala Comoros1, < < ,750 1, ,810 1, Honduras Djibouti 50, , , , Mexico Eritrea < ,740 1, , Nicaragua Ethiopia < ,390 1, , Panama Kenya ,990 3, ,440 36CARIBBEAN Madagascar , , Antigua Malawi and 490Barbuda ,840 1, , , Bahamas Mauritius 1, ,980 22, ,733 5, Barbados Mayotte 2, , ,727 2, , Cuba Mozambique , Curaçao Reunion2, , , Dominica Rwanda1, ,610 1, ,167 1, , Dominican Seychelles 112,500 Republic ,480 28, ,500 1, Grenada , , Somalia 1,336 Reference 15 Bureau See notes 21.5 on <0.1 page ,336 WORLD POPULATION 15 DATA 14 SHEET , Guadeloupe South Sudan , , , Haiti Tanzania ,790 2,

13 POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD Births Deaths Net Migration Infant Total Percent of GNI per Capita per Square Kilometer of Percent of Married Women Using Contraception d Life Expectanc at Birth (years mid-2017 per 1,000 per 1,000 Rate per 1,000 mid-2030 mid-2050 Mortality Rate a Fertility Rate b Ages <15 Ages 65+ PPP c 2016 Percent Urban Arable Land (thousands) All Methods Modern Methods Males Fema WORLD Curaçao 7, , MORE Dominica DEVELOPED 1, ,421 10, , LESS Dominican DEVELOPED Republic 6, ,822 14, , LESS Grenada DEVELOPED (Excl. China) 4, ,440 9, , LEAST Guadeloupe DEVELOPED 1, , , AFRICA Haiti 1, ,833 1, NORTHERN Jamaica AFRICA ,046 8, , Algeria Martinique , , Egypt Puerto Rico ,110 24, ,498 5, Libya St. Kitts-Nevis ,940 11, , Morocco Saint Lucia ,370 7, , Sudan St. Vincent and the Grenadines ,530 4, , Tunisia Trinidad and Tobago ,150 30, , SOUTH Western AMERICA Sahara e , , SUB-SAHARAN Argentina AFRICA 1, , , ,480 3, WESTERN Bolivia AFRICA ,095 7, Benin Brazil ,810 2, Burkina Chile Faso ,270 1, , Cape Colombia Verde ,910 6, , Côte Ecuador d'ivoire ,070 3, , Gambia French Guiana , , Guyana Ghana ,860 4, Paraguay Guinea ,060 1, Peru Guinea-Bissau ,480 1, Suriname Liberia , Uruguay Mali ,090 2, Venezuela Mauritania ,700 3, , ASIA Niger 4, , , , ASIA Nigeria (Excl. China) 3, , , ,454 5, WESTERN Senegal ASIA ,583 2, Armenia Sierra Leone ,000 1, Azerbaijan Togo ,130 1, EASTERN Bahrain AFRICA ,690 2, , Cyprus Burundi , , Georgia Comoros ,450 1, , Iraq Djibouti , , Israel Eritrea ,400 1, , Jordan Ethiopia ,980 1, , Kuwait Kenya ,420 3, , Lebanon Madagascar ,860 1, , Oman Malawi ,320 1, , Palestinian Mauritius Territory ,980 3, ,733 7, Mayotte Qatar , ,611 2, Saudi Mozambique Arabia ,760 1, Reunion , Rwanda , , Seychelles , , Somalia Reference Bureau See notes 21.5 on page ,336 WORLD POPULATION 15 DATA 14 SHEET South Sudan , Tanzania ,

14 , , , , , , , , < , POPULATION, HEALTH, 72 AND 78 ENVIRONMENT DATA AND 88 ESTIMATES 0.1 FOR <0.1 THE COUNTRIES 70 AND 79 REGIONS OF THE WORLD, Percent 59 of Married Percent of Married,840 NI 23 per 2,500 Square Women Using Life 74 Expectancy Net 45 Percent Ages Secondary Percent School 104 GNI Tertiary 15 Education 31per Square Women Using Life Expectanc,090 apita 83 Kilometer 5,000 of Contraception 72Birth (years) 78 Births 0.1 Deaths Ages Migration Adolescent With HIV/AIDS 1.5 Infant Total 90 Enrollment of Ratio95 per Capita Enrollment Ratio Kilometer of Contraception d at Birth (years,070 PP c Percent 31 Arable 2,727Land All 59 Modern 55 mid per 1,000 mid per 1,000 mid Rate per Fertility 40mid-2030 Rate Males 0.3 mid-2050 Females Mortality 0.3 Fertility Males 108 Ages Females Ages 111 PPPMales c 40 Percent Females 91 Arable Land All Modern 16 Urban 77 (thousands) 366 Methods 74 Methods 72 Males 76 Females ,000Ages Rate a 2009/2016 Rate98 b < / / Urban2009/ (thousands) Methods Methods Males Fema WORLD Curaçao , , , , , MORE Dominica DEVELOPED 1, , , , LESS Dominican DEVELOPED 1, Republic , , , , , LESS Grenada DEVELOPED 3, (Excl. China) , , , LEAST Guadeloupe DEVELOPED 1, , , , AFRICA Haiti , , , NORTHERN Jamaica2, AFRICA , , Algeria Martinique 3, < < , ,110, Egypt Puerto Rico 3,498 5, < < , , ,940, Libya St. Kitts-Nevis 1, , ,700, Morocco Saint Lucia 6, < < , ,290, Sudan St. Vincent 2, and the Grenadines , ,150, Tunisia Trinidad 5,600 and 397Tobago < < , SOUTH Western AMERICA 15,000 Sahara , , SUB-SAHARAN Argentina AFRICA , , , , , WESTERN Bolivia AFRICA < , ,170, Benin Brazil , ,680, Burkina Chile Faso 1, , ,220, Cape Colombia Verde 2, < , ,610, Côte Ecuador d'ivoire 1, , , Gambia French Guiana 2, , ,150, Guyana Ghana , ,200, Paraguay Guinea , ,580, Peru Guinea-Bissau < , , Suriname Liberia ,040, Uruguay Mali , ,760, Venezuela Mauritania 1, , ASIA Niger , ASIA Nigeria (Excl China) , , WESTERN Senegal ASIA < , ,000, Armenia Sierra Leone < , ,130, Azerbaijan Togo < < , , EASTERN Bahrain93,750 AFRICA < < , , Cyprus Burundi 1, ,450, Georgia Comoros1, < < , , , Iraq Djibouti 50, , ,400, Israel Eritrea 2, , ,980, Jordan Ethiopia4, < < , ,130, Kuwait Kenya 43, < < , ,860, Lebanon Madagascar 4, < < , ,140, Oman Malawi12, , ,980, Palestinian Mauritius 1,733 7,656 Territory , , , Mayotte Qatar 20,611 2, < < , ,760, Saudi Mozambique Arabia < < , Reunion2, , ,990, Rwanda1, , , ,850, Seychelles 112,500 25, , , , Somalia 1,336 2,268 Reference Bureau See notes 21.5 on <0.1 page < ,336 WORLD POPULATION 15 DATA 14 SHEET , South Sudan < < , , Tanzania ,