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Tasmanian Certificate of Education External Assessment 2018

GEOGRAPHY (GGY315115)

Time allowed for this paper • Working time: 3 hours • Plus 15 minutes recommended reading time

On the basis of your performance in this examination, the examiners will provide results on each of the following criteria taken from the course statement: Criterion 3 Communicate geographical ideas and information. Criterion 4 Identify and apply geographical concepts to geographical phenomena. Criterion 5 Identify geographical processes and their relation to geographical change. Criterion 6 Identify geographical issues or challenges and possible solutions.

© Copyright for part(s) of this examination may be held by individuals and/or organisations other than the Office of Tasmanian Assessment, Standards and Certification.

PLACE YOUR CANDIDATE LABEL HERE

Pages: 8 Questions: 12 Attachments: World Population Data Sheet Information Sheet

Candidate Instructions 1. You MUST make sure that your responses to the questions in this examination paper will show

your achievement in the criteria being assessed. 2. There are FOUR sections to this paper. You must answer EIGHT questions in total. 3. You must answer:

• EACH question in Section A in a separate booklet • EACH question in Section B in a separate booklet • ALL questions for Section C in a separate booklet • ONE question from Section D (in essay form) in a separate booklet

4. You MUST refer to the Data Sheet for Question 1. 5. It is strongly recommended that you note the time allocations given for each question. 6. All written responses must be in English.

GGY315115 Page 3 of 8

Answer ALL questions from this section. Use a separate answer booklet for each question in this section. It is recommended that you spend approximately 45 minutes on this section. This section assesses Criteria 4 and 6. Question 1 (25 minutes) You MUST refer to the Information Sheet and the Data Sheet: World Population (2017) when answering this question.

(a) Describe the pattern of world population growth from 1900 and projected to 2150 as shown on the graph and explain the reasons for the difference in growth between more and less developed countries.

(b) From the Data Sheet, select one country with a growing population and one country with a

contracting population. Explain why the population of each chosen country is either expanding or contracting and justify your response using relevant indicators and statistics.

Question 2 (20 minutes) (a) Identify and explain one population challenge facing urban Australia and one population challenge

facing rural Australia.

(b) Describe one possible solution for each of these challenges. (c) Evaluate the likely success of these solutions over time.

SECTION A


Answer ALL questions from this section. Use a separate answer booklet for each question in this section. It is recommended that you spend approximately 45 minutes on this section. This section assesses Criteria 4 and 5. Question 3 (25 minutes) Explain the nature and extent of anthropogenic climate change and describe some of the consequences of this process for the world’s people and environments. Refer to one example from a More Developed Country and one example from a Less Developed Country. Question 4 (20 minutes) Using one example from a More Developed Country and one example from a Less Developed Country, describe the nature and the consequences of one form of human activity that is contributing to land cover change.

SECTION B


Answer ALL questions from this section. Use a separate answer booklet for this section. It is recommended that you spend approximately 45 minutes on this section. This section assesses Criteria 3 and 5. Question 5 (15 minutes) Describe two important consequences of globalisation with particular reference to the influence of enhanced technology and transport. Question 6 (15 minutes) Discuss how the growth of cities is contributing to the process of globalisation. Refer to two major cities in your response. Question 7 (15 minutes) With reference to specific countries and/or regions of the world, describe changes that are occurring in the areas of economic and cultural power and influence.

SECTION C


Answer ONE question in essay form from this section. Use a separate answer booklet for this section. All questions are of equal value. It is recommended that you spend approximately 45 minutes on this section. This section assesses Criteria 3 and 6. Question 8 Explain the causes and consequences of two major challenges faced by one megacity in a developing country. Describe a variety of strategies that are being used to manage these challenges and evaluate their effectiveness in improving the quality of life for the inhabitants of that city. Question 9 Choose one of the following: Either glacier and ice sheet retraction or rising sea levels leading to land cover loss or cropland/pasture loss and/or degradation or desertification or coral reef loss and/or degradation. Explain the relationship between anthropogenic climate change and one of the environmental issues listed above and describe impacts of that process. Discuss local and/or international initiatives that have been implemented to address these impacts and evaluate their effectiveness. Question 10 Choose one of the following: Either deforestation or the expansion/intensification of agriculture or rangeland modification or land and soil degradation or irrigation or land drainage or land reclamation or urban expansion or mining. Describe the negative environmental impact of one form of human activity from the list above and explain how one program, either local and/or international, is attempting to address those impacts. Evaluate the effectiveness of this program both now and in terms of future sustainability.

Section D continues.

Section D (continued)

SECTION D


Question 11 Choose one of the following: Either a mineral ore or fossil-based energy resource or a food or fibre-based commodity or a complex manufactured commodity or a commodity typical of the ‘weightless’ or service based economy. Describe the changing distribution of production and consumption in your chosen activity. Analyse social, economic and political implications of these changes both now and into the future, using specific examples to support your response. Question 12 Choose one cultural element such as fashion, sport, leisure, music, religion, language, architecture or political ideas. Describe the geographical spread and distribution of your chosen element and explain the role of enhanced/new technology in influencing this pattern. With reference to specific examples, evaluate the possible global effects of future change for people and places.


This question paper and any materials associated with this examination (including answer booklets, cover sheets, rough note paper, or information sheets) remain the property of the Office of Tasmanian Assessment, Standards and Certification.

Tasmanian Certificate of Education

External Assessment 2018



Information Sheet

Title:

“World Population Growth, 1750-2150”

Source:

United Nations, World Population Prospects, Population Reference Bureau

URL: https://www.researchgate.net/figure/World-population-growth-in-billions-from-1750-to-2150-Data-source-United-Nations_fig3_221916800

https://www.researchgate.net/figure/World-population-growth-in-billions-from-1750-to-2150-Data-source-United-Nations_fig3_221916800

https://www.researchgate.net/figure/World-population-growth-in-billions-from-1750-to-2150-Data-source-United-Nations_fig3_221916800

Tasmanian Certificate of Education External Assessment 2018


(Source: Population Reference Bureau)

© Copyright for part(s) of this examination may be held by individuals and/or organisations other than the office of Tasmanian Assessment, Standards and Certification.


Data Sheet: World Population Data (2017)

Page 1 of 16

© 2017 Population Reference Bureau 17 W LA20 ORLD POPU TION DATA SHEET

Populationmid-2017 (millions)

Birthsper 1,000

Population

Deathsper 1,000

Population

Net Migration Rate per

1,000

Population Infant Mortality

Ratea

Total Fertility

Rateb

Percent of Population

GNI per Capita

PPPc

2016Percent Urban

Population per Square

Kilometer of Arable Land (thousands)

Percent of Married Women 15-49 Using

ContraceptiondLife Expectancy at Birth (years) Population Ages 15-24 Adolescent

Fertility Rate Ages 15-19

Percent Ages 15-24With HIV/AIDS

Secondary SchoolEnrollment Ratio

Tertiary Education Enrollment Ratio

mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods

Modern Methods Males Females

mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016

WORLD 7,536 20 8 0 8563 9846 32 2.5 26 9 16,101 54 532 62 55 70 74 1,189 1,355 50 — — 77 76 34 38MORE DEVELOPED 1,263 11 10 3 1304 1325 5 1.6 16 18 41,421 78 239 70 60 76 82 143 140 16 — — 107 107 67 84LESS DEVELOPED 6,273 21 7 -0 7259 8520 35 2.6 28 7 10,822 49 707 61 55 69 72 1,046 1,215 54 0.4 0.6 74 73 29 31LESS DEVELOPED (Excl. China) 4,878 24 7 -0 5832 7169 39 2.9 31 5 9,353 47 624 54 46 67 71 880 1,085 62 0.4 0.6 71 70 27 27LEAST DEVELOPED 1,001 33 8 -1 1340 1952 52 4.3 40 4 2,566 32 572 37 32 63 66 200 349 106 0.5 1 46 41 11 7

AFRICA 1,250 35 9 -1 1706 2574 51 4.6 41 3 4,833 41 534 35 30 61 64 240 469 108 0.9 1.8 52 48 14 12NORTHERN AFRICA 230 28 6 -1 287 381 24 3.3 31 5 10,046 52 538 51 46 71 74 39 57 49 0.1 0.1 77 75 30 33Algeria 42.2 26 4 -0 51.7 64.8 21 3.1 29 6 14,720 71 565 56 50 75 78 6.4 8.1 10 <0.1 <0.1 98 102 29 45Egypt 93.4 30 7 0 118.7 163.5 16 3.3 31 4 11,110 43 3,498 59 57 71 73 15.6 25.2 56 <0.1 <0.1 86 86 37 36Libya 6.4 20 5 -7 7.3 8.1 23 2.3 29 4 11,210 79 372 42 20 69 75 1.1 1.0 6 — — — — — —Morocco 35.1 19 5 -2 38.7 40.2 25 2.4 25 6 7,700 60 432 67 59 74 77 5.8 5.1 32 <0.1 <0.1 74 64 29 28Sudan 40.6 34 8 -2 56.8 88.1 46 4.7 41 4 4,290 35 205 12 12 63 66 8.2 16.1 87 0.1 0.2 44 41 16 17Tunisia 11.5 20 6 -1 13.2 15.3 15 2.4 24 8 11,150 68 397 63 51 75 78 1.7 1.4 8 <0.1 <0.1 90 94 26 43Western Saharae 0.6 20 5 6 0.7 0.9 31 2.4 29 3 — 81 15,000 — — 68 71 0.1 0.1 25 — — — — — —

SUB-SAHARAN AFRICA 1,021 37 10 -0 1,419 2,193 56 5.0 43 3 3,592 39 534 30 26 58 62 201 412 119 1.1 2.1 48 43 10 7WESTERN AFRICA 371 39 11 -1 517 809 64 5.3 44 3 4,095 46 437 18 14 55 57 72 155 125 0.7 1.2 53 47 12 8Benin 11.2 37 9 -1 15.6 23.9 67 5.0 43 3 2,170 44 415 18 13 59 62 2.2 4.5 94 0.3 0.5 67 47 22 8Burkina Faso 19.6 41 9 -1 28.9 48.4 65 5.7 49 3 1,680 31 327 26 25 59 61 3.9 9.4 132 0.4 0.6 35 32 7 4Cape Verde 0.5 20 6 -3 0.6 0.6 21 2.3 31 5 6,220 66 909 61 57 71 75 0.1 0.1 75 0.3 0.5 88 98 18 25Côte d'Ivoire 24.4 37 13 0 33.0 50.1 64 5.0 43 3 3,610 55 841 18 13 52 55 4.9 9.6 129 0.5 1.1 51 37 11 7Gambia 2.1 40 8 -1 3.2 5.1 47 5.5 46 2 1,640 60 477 9 8 60 62 0.4 1.0 88 0.1 0.4 59 56 4 3Ghana 28.8 32 8 0 37.2 51.2 41 4.0 39 3 4,150 55 613 31 26 61 63 5.6 8.9 76 0.4 1.0 63 61 19 13Guinea 11.5 36 10 -3 16.0 24.3 59 4.9 43 3 1,200 38 371 6 5 59 60 2.3 4.5 146 0.4 1.0 47 31 15 7Guinea-Bissau 1.9 37 11 -1 2.5 3.6 75 4.7 42 3 1,580 50 633 16 14 55 59 0.4 0.7 106 0.5 0.8 — — — —Liberia 4.7 35 8 -1 6.5 9.8 54 4.7 42 3 700 50 940 20 19 61 63 0.9 1.8 149 0.6 1.2 42 33 14 9Mali 18.9 43 11 -3 27.5 44.8 56 6.0 48 3 2,040 41 295 16 15 57 58 3.7 9.0 174 0.3 0.6 46 37 10 4Mauritania 4.4 35 8 2 6.1 9.0 75 4.6 40 3 3,760 60 978 18 16 62 65 0.8 1.6 84 0.2 0.1 32 29 7 4Niger 20.6 48 10 -0 33.5 65.6 61 7.3 50 3 970 19 130 17 14 59 61 3.8 13.4 206 0.1 0.2 24 17 3 1Nigeria 190.9 39 13 -0 264.1 410.6 69 5.5 44 3 5,740 49 562 15 10 52 54 36.4 79.4 122 1.0 1.6 58 53 12 8Senegal 15.8 37 6 -1 22.0 33.8 39 4.9 43 3 2,480 44 494 23 21 65 69 3.1 6.2 90 <0.1 0.1 50 49 13 8Sierra Leone 7.6 37 13 -1 9.7 13.0 92 4.9 43 3 1,320 40 480 17 16 51 52 1.5 2.4 125 0.7 1.3 46 40 — —Togo 7.8 35 9 -0 10.5 15.3 52 4.5 42 3 1,370 40 294 20 17 59 61 1.5 2.8 84 0.4 0.8 — — 15 6

EASTERN AFRICA 422 36 8 -1 586 886 47 4.7 43 3 2,154 27 636 41 38 62 65 86 164 111 1.3 2.3 38 36 7 4Burundi 10.4 42 11 -1 15.3 23.5 47 5.5 45 3 770 12 867 29 23 55 59 2.0 4.4 65 0.3 0.4 44 41 8 2Comoros 0.8 33 8 -3 1.1 1.5 55 4.3 40 3 1,520 28 1,231 19 14 62 65 0.2 0.3 70 <0.1 <0.1 58 62 10 8Djibouti 1.0 23 8 1 1.1 1.3 53 2.9 32 4 — 77 50,000 19 18 61 64 0.2 0.2 20 0.4 0.6 53 43 6 4Eritrea 5.9 31 7 -15 6.8 8.9 46 4.2 41 4 1,500 23 855 8 7 62 67 1.1 1.6 54 0.2 0.2 33 28 3 2Ethiopia 105.0 33 7 -0 139.6 190.9 48 4.6 42 3 1,730 20 695 36 35 63 67 22.8 33.1 80 0.4 0.5 36 34 11 5Kenya 49.7 32 6 -0 67.0 95.5 37 3.9 41 3 3,130 26 857 64 61 64 69 10.1 16.7 96 1.9 3.5 63 57 5 3Madagascar 25.5 33 7 -0 34.2 48.1 33 4.2 41 3 1,440 36 729 40 33 64 67 5.2 8.8 152 0.2 0.1 39 38 5 5Malawi 18.6 35 8 0 25.6 37.4 42 4.4 44 3 1,140 16 490 59 58 60 65 3.9 7.0 136 2.2 4.5 46 41 1 1Mauritius 1.3 10 8 -1 1.2 1.1 13.7 1.4 20 9 20,980 41 1,733 64 31 71 78 0.2 0.1 27 — — 94 98 32 42Mayotte 0.2 39 2 -0 0.3 0.5 4 5.0 44 3 — 47 2,247 — — 75 77 0.04 0.1 58 — — — — — —Mozambique 29.7 39 10 -0 42.4 67.8 65 5.3 45 3 1,190 33 526 27 25 56 60 5.9 13.2 194 2.8 4.6 34 31 7 5Reunion 0.9 17 5 -6 1.0 1.1 7 2.5 24 11 — 95 2,528 67 64 77 84 0.1 0.1 46 — — — — — —Rwanda 12.3 33 6 -1 16.6 24.3 32 4.2 40 3 1,870 30 1,070 53 48 65 69 2.4 4.1 45 0.7 1.3 35 38 9 7Seychelles 0.09 17 8 -3 0.1 0.1 13.4 2.3 22 8 28,390 54 112,500 — — 68 78 0.01 0.01 58 — — 79 84 9 20Somalia 14.7 44 12 -3 35.9 74 6.4 47 3 — 40 1,336 15 14 58 2.9 7.1 103 <0.1 0.1 — — — —South Sudan 12.6 37 11 5 27.9 72 5.1 42 3 1,700 19 — 4 2 57 2.6 5.2 67 0.6 1.1 12 7 — —Tanzania 57.5 40 7 -1 86.7 152.2 43 5.2 45 3 2,740 32 426 38 32 63 67 11.2 29.1 132 0.9 2.3 34 31 5 2Uganda 42.8 40 9 -1 61.6 95.6 43 5.4 48 3 1,820 20 620 39 35 62 64 8.8 18.9 132 1.9 3.8 24 22 5 4Zambia 16.4 39 8 -0 23.9 39.3 50 5.2 45 3 3,790 40 432 49 45 59 64 3.4 7.6 141 4.1 6.9 — — 5 3Zimbabwe 16.6 36 9 -2 22.4 33.2 50 4.0 41 3 1,920 33 415 67 66 59 62 3.3 5.8 110 2.8 5.7 48 47 9 8

MIDDLE AFRICA 163 42 10 -1 243 410 62 5.9 46 3 2,688 44 630 20 11 57 60 31 80 142 0.4 0.8 48 32 11 6Angola 28.6 45 9 0 44.3 79.6 44 6.2 47 2 6,220 45 584 14 13 58 64 5.5 15.6 163 0.4 0.8 35 23 10 8Cameroon 25.0 36 10 -4 34.4 51.9 54 4.8 43 3 3,250 55 403 34 21 57 59 4.9 9.6 119 0.9 2.3 63 54 20 15Central African Republic 4.7 36 14 -12 6.1 8.9 87 4.9 44 4 700 40 261 15 12 50 53 1.0 1.7 107 1.2 1.9 23 12 4 1Chad 14.9 46 13 1 22.2 36.8 72 6.4 48 2 1,950 23 304 6 5 51 54 3.0 7.3 179 0.3 0.5 31 14 6 1Congo 5.0 36 10 -6 6.7 10.2 42 4.7 42 3 5,380 66 909 30 19 58 60 0.9 1.9 111 0.8 1.4 58 51 11 8Congo, Dem. Rep. 81.5 44 10 0 124.3 215.9 69 6.3 46 3 730 43 1,148 20 8 58 61 15.4 42.6 138 0.1 0.3 54 33 9 4Equatorial Guinea 1.3 35 10 15 1.9 2.9 65 4.8 37 3 17,020 40 1,083 13 10 56 59 0.2 0.5 159 1.4 2.6 — — — —Gabon 2.0 30 8 5 2.5 3.5 38 3.9 36 5 16,720 87 615 31 19 64 67 0.4 0.6 114 0.6 2.0 — — — —Sao Tome and Principe 0.2 33 7 -5 0.3 0.3 38 4.4 42 4 3,240 67 2,299 41 37 64 69 0.04 0.1 92 — — 81 92 13 14

SOUTHERN AFRICA 65 22 9 2 74 88 35 2.5 30 5 12,467 62 459 55 54 61 66 12 13 71 4.1 10.5 86 108 15 23Botswana 2.3 24 7 1 2.8 3.4 31 2.8 33 5 16,380 58 576 53 51 63 69 0.4 0.5 33 5.4 10.2 — — 19 28Lesotho 2.2 29 13 -2 2.6 3.2 59 3.3 36 4 3,390 28 808 60 60 51 56 0.5 0.6 94 6.3 13.9 46 62 8 12Namibia 2.5 28 8 0 3.1 4.2 38 3.4 38 4 10,550 48 313 56 55 62 65 0.5 0.7 82 3.2 6.1 — — — —South Africa 56.5 21 9 2 63.4 75.2 33 2.4 30 5 12,860 65 452 55 54 61 67 10.2 11.1 71 4.0 10.4 88 112 16 23Swaziland 1.4 29 10 -1 1.7 2.1 50 3.3 38 3 7,980 21 800 66 66 54 60 0.3 0.4 87 3.8 17.6 66 66 5 5

AMERICAS 1,005 15 7 1 1,116 1,227 14 2.0 23 10 30,130 80 267 74 68 74 80 158 148 54 — — 94 97 51 68NORTHERN AMERICA 362 12 8 4 399 444 6 1.8 19 15 56,554 81 181 74 70 77 81 49 52 21 — — 98 99 73 100Canada 36.7 11 8 9 41.2 47.1 4.3 1.6 16 17 43,420 82 80 74 72 79 84 4.5 5.1 10 — — 110 110 — —United States 325.4 12 8 3 357.7 396.8 5.8 1.8 19 15 58,030 81 211 74 70 76 81 44.1 47.3 22 — — 97 98 73 100

LATIN AMERICA AND THE CARIBBEAN 643 17 6 -1 717 783 17 2.1 26 8 15,001 80 366 74 67 73 79 110 95 67 0.2 0.2 92 97 41 53CENTRAL AMERICA 177 20 5 -1 205 232 19 2.3 29 6 15,315 74 631 67 64 74 79 33 30 69 0.1 0.1 84 88 29 30Belize 0.4 24 6 4 0.5 0.6 9 2.6 32 4 8,000 45 513 51 49 71 77 0.1 0.1 74 0.7 0.9 80 82 18 29Costa Rica 4.9 14 5 1 5.6 6.1 7.9 1.7 23 8 15,750 78 2,111 76 75 78 83 0.8 0.7 54 0.3 0.1 121 126 47 61El Salvador 6.4 20 7 -7 7.2 8.0 17 2.3 28 8 8,220 66 853 72 68 69 78 1.3 1.0 74 0.3 0.2 79 80 28 31Guatemala 16.9 24 5 -1 21.2 27.0 25 2.9 40 5 7,750 52 1,810 61 49 69 76 3.6 4.2 92 0.2 0.2 68 63 20 24Honduras 8.9 22 5 -0 10.7 12.7 26 2.5 33 4 4,410 55 873 73 64 71 76 1.9 1.8 101 0.2 0.1 65 77 19 25Mexico 129.2 20 5 -0 147.5 164.3 18 2.2 27 6 17,740 80 562 67 65 75 79 23.2 20.1 62 0.1 <0.1 88 93 30 30Nicaragua 6.2 20 5 -4 7.0 7.9 18 2.2 30 5 5,390 59 412 80 77 72 78 1.2 1.0 88 0.1 <0.1 70 79 — —Panama 4.1 19 5 2 4.9 5.8 13 2.4 27 8 20,990 67 728 63 60 75 81 0.7 0.8 81 0.5 0.3 73 78 31 47

CARIBBEAN 43 17 8 -2 46 47 29 2.2 25 10 — 71 821 59 56 71 76 7 6 64 0.4 0.5 83 89 36 58Antigua and Barbuda 0.1 15 6 -0 0.1 0.1 8 1.9 25 7 21,840 23 2,500 — — 74 79 0.02 0.01 45 — — 102 104 15 31Bahamas 0.4 13 6 4 0.4 0.4 9 1.7 21 8 22,090 83 5,000 — — 72 78 0.1 0.05 29 1.9 1.5 90 95 — —Barbados 0.3 11 9 1 0.3 0.3 9 1.7 19 15 16,070 31 2,727 59 55 73 78 0.04 0.03 40 0.3 0.3 108 111 40 91Cuba 11.3 11 9 -5 10.8 9.8 4.3 1.7 17 15 — 77 366 74 72 76 81 1.4 0.9 46 0.3 0.2 98 103 30 43Curaçao 0.2 11 9 7 0.2 0.2 11.4 1.7 18 16 — 89 — — — 75 81 0.03 0.02 33 — — 86 91 12 28Dominica 0.07 12 8 1 0.08 0.08 20 1.8 22 10 10,610 70 1,167 — — 73 78 — — — — — 101 100 — —Dominican Republic 10.7 21 6 -3 12.1 13.2 31 2.5 30 7 14,480 80 1,338 70 68 71 77 1.9 1.8 89 0.3 0.4 74 82 35 65Grenada 0.1 17 8 -2 0.1 0.1 15 2.1 26 7 13,440 36 3,333 — — 74 79 0.02 0.01 31 — — 99 99 85 98Guadeloupe 0.4 12 7 -5 0.4 0.4 7.3 2.1 20 17 — 98 1,794 — — 77 85 0.1 0.05 14 — — — — — —Haiti 10.6 23 8 2 12.4 14.5 48 2.9 33 4 1,790 60 991 35 31 61 66 2.1 2.2 66 0.5 0.8 — — — —Jamaica 2.9 17 7 -6 2.9 2.7 14 2.0 23 9 8,500 55 2,417 73 68 73 78 0.5 0.3 70 0.9 0.6 79 85 20 35Martinique 0.4 11 8 -5 0.4 0.3 6 2.0 18 19 — 89 3,960 — — 79 85 0.05 0.03 19 — — — — — —Puerto Rico 3.4 9 8 -5 3.2 2.7 7.0 1.3 16 19 24,020 99 5,574 84 72 76 83 0.5 0.3 39 — — 79 84 70 99St. Kitts-Nevis 0.05 14 9 3 0.06 0.06 17 1.8 21 8 25,940 32 1,000 — — 73 78 — — — — — 88 93 53 107Saint Lucia 0.2 12 6 4 0.2 0.2 18 1.5 21 11 11,370 19 6,667 56 53 75 83 0.04 0.02 42 — — 85 85 12 22St. Vincent and the Grenadines 0.1 16 9 -6 0.1 0.1 18 2.1 25 7 11,530 51 2,000 — — 70 75 0.02 0.01 51 — — 108 105 — —Trinidad and Tobago 1.4 14 8 -2 1.4 1.3 13 1.7 19 10 30,810 8 5,600 43 38 69 75 0.2 0.1 32 0.4 0.3 — — — —

SOUTH AMERICA 423 16 6 -0 467 504 15 1.9 25 8 15,192 83 297 78 69 72 79 70 60 66 0.3 0.2 96 101 47 63Argentina 44.3 17 8 -0 49.0 54.1 10.1 2.3 25 12 19,480 91 113 81 78 74 80 6.9 7.1 63 0.2 0.1 103 110 64 103Bolivia 11.1 24 7 -1 13.3 16.5 39 2.9 32 6 7,090 69 248 61 35 66 71 2.1 2.5 69 0.1 <0.1 87 86 — —Brazil 207.9 13 6 0 223.9 231.1 14 1.6 23 8 14,810 86 260 80 77 72 79 34.1 24.9 63 0.3 0.2 97 102 42 59Chile 18.4 14 6 1 20.0 21.1 7.3 1.8 20 11 23,270 83 1,427 64 — 77 82 2.7 2.3 47 0.3 0.2 100 101 83 94Colombia 49.3 18 6 -1 55.4 61.5 14 2.0 26 8 13,910 76 2,943 81 76 73 79 8.2 7.0 75 0.2 <0.1 95 102 52 60Ecuador 16.8 20 5 -0 19.7 23.2 20 2.5 30 7 11,070 64 1,651 80 72 73 79 3.0 3.2 75 0.2 0.1 105 109 35 45French Guiana 0.3 25 3 4 0.4 0.5 9 3.4 34 5 — 85 2,273 — — 77 83 0.1 0.1 61 — — — — — —Guyana 0.8 21 8 -7 0.8 0.8 32 2.5 30 5 7,860 29 191 34 33 64 69 0.2 0.1 74 0.7 1.0 90 89 8 17Paraguay 6.8 21 6 -3 7.8 8.9 28 2.5 30 6 9,060 60 142 79 71 71 75 1.3 1.3 57 0.3 0.2 74 79 29 41Peru 31.8 20 6 -1 36.4 41.2 17 2.4 28 7 12,480 79 766 75 52 72 77 5.5 5.4 68 0.2 <0.1 96 96 39 43Suriname 0.6 18 7 -2 0.6 0.6 16 2.4 27 7 13,720 66 923 48 47 68 75 0.1 0.1 47 0.7 0.8 72 91 — —Uruguay 3.5 14 9 -1 3.6 3.7 11.9 2.0 21 14 21,090 95 145 77 75 74 81 0.5 0.4 56 0.3 0.1 90 100 47 80Venezuela 31.4 19 5 -1 36.1 40.5 12.5 2.4 28 7 17,700 88 1,163 70 62 73 79 5.4 5.4 86 0.3 0.2 86 93 — —

ASIA 4,494 18 7 -0 4,938 5,245 28 2.2 24 8 12,833 49 933 65 59 71 74 706 657 30 — — 80 80 33 35ASIA (Excl. China) 3,099 20 7 -0 3,512 3,894 34 2.4 28 7 11,454 45 825 57 47 69 73 539 526 37 0.1 0.1 76 75 30 30WESTERN ASIA 269 21 5 3 325 390 22 2.8 29 5 27,583 71 691 52 35 72 76 46 55 41 — — 88 81 59 57Armenia 3.0 14 9 -8 2.8 2.4 9 1.6 20 11 9,000 64 670 57 28 72 78 0.4 0.2 24 0.1 <0.1 88 89 42 47Azerbaijan 9.9 17 6 0 11.3 11.7 11 2.0 23 6 16,130 53 514 51 14 73 78 1.5 1.4 56 <0.1 <0.1 — — 24 27Bahrain 1.5 14 2 19 1.9 2.1 6 1.9 21 2 44,690 100 93,750 62 31 76 78 0.2 0.2 14 <0.1 <0.1 102 102 31 59Cyprus 1.2 12 6 7 1.3 1.4 2 1.4 17 13 31,420 67 1,504 — — 80 84 0.2 0.1 5 — — 100 99 51 69Georgia 3.9 15 14 -2 3.7 3.4 9 1.7 19 14 9,450 57 853 53 35 68 77 0.5 0.4 48 0.1 0.1 104 104 39 48Iraq 39.2 32 4 2 53.4 76.5 38 4.1 40 3 17,240 70 779 53 36 67 72 7.6 13.8 83 — — — — — —Israel 8.3 21 5 1 10.3 13.8 3.1 3.1 28 11 37,400 91 2,762 — — 80 84 1.2 1.9 10 — — 102 103 55 75Jordan 9.7 26 4 12 10.7 12.7 16 3.3 36 4 8,980 84 4,084 61 42 73 76 1.8 2.0 26 <0.1 <0.1 80 85 43 47Kuwait 4.1 15 2 22 4.9 5.6 8 2.0 21 2 83,420 98 43,158 52 39 74 76 0.5 0.6 10 <0.1 <0.1 88 103 20 33Lebanon 6.2 14 5 15 5.5 5.6 8 1.7 25 7 13,860 88 4,697 55 47 76 79 1.2 0.6 12 <0.1 <0.1 61 61 40 46Oman 4.7 21 3 36 6.1 7.3 9 2.9 22 3 41,320 75 12,368 30 19 75 79 0.7 0.8 11 — — 101 108 — —Palestinian Territory 4.9 31 4 -2 6.5 8.7 18 4.0 40 3 3,290 75 7,656 57 44 71 75 1.0 1.5 48 — — 79 87 35 54Qatar 2.7 11 1 36 3.3 3.8 7 2.0 14 1 124,740 99 20,611 38 34 77 80 0.4 0.4 10 <0.1 <0.1 82 104 6 44Saudi Arabia 32.6 20 4 7 39.1 44.6 12 2.6 25 3 55,760 83 931 28 24 73 76 4.8 5.2 9 <0.1 <0.1 123 94 64 62Syria 18.3 22 6 -21 26.6 34.0 17 2.9 37 4 — 58 393 54 38 64 77 3.8 5.1 40 — — 50 51 41 47Turkey 80.9 17 5 4 89.7 94.8 10 2.1 24 8 23,990 74 391 74 47 75 81 13.3 11.2 25 — — 104 101 101 88United Arab Emirates 9.4 10 2 9 11.1 13.2 6 1.8 14 1 72,850 86 25,067 28 24 76 79 1.1 1.2 28 — — — — — —Yemen 28.3 32 7 -1 36.8 48.3 45 4.1 41 3 2,490 35 2,268 34 29 63 66 6.0 8.3 67 <0.1 <0.1 57 40 14 6

SOUTH CENTRAL ASIA 1,956 22 6 -1 2,238 2,510 40 2.4 29 5 6,702 35 758 54 47 67 71 358 346 35 <0.1 <0.1 71 70 26 24CENTRAL ASIA 71 24 6 -1 85 104 26 2.8 29 5 10,916 41 189 55 52 69 75 12 14 30 — — 98 96 23 23Kazakhstan 18.0 23 7 1 20.8 25.0 9 3.0 25 7 22,910 55 61 56 54 68 77 2.4 3.4 36 <0.1 <0.1 111 113 41 51Kyrgyzstan 6.2 27 6 -1 7.4 9.3 18 3.2 32 4 3,410 34 484 42 40 67 75 1.0 1.4 44 <0.1 <0.1 91 93 41 53Tajikistan 8.8 29 5 -2 11.1 14.4 36 3.4 35 3 3,500 27 1,206 28 26 68 74 1.7 2.3 54 <0.1 <0.1 92 83 34 24Turkmenistan 5.8 27 7 -1 7.0 8.8 45 3.2 30 4 16,060 50 299 50 47 64 71 1.0 1.3 28 — — 87 84 10 6Uzbekistan 32.4 23 5 -1 38.7 46.5 29 2.5 28 4 6,640 37 736 65 62 71 76 5.8 6.0 17 — — 97 95 11 7

SOUTH ASIA 1,885 22 6 -1 2,153 2,406 40 2.4 29 5 6,054 35 855 54 46 67 70 346 332 35 <0.1 <0.1 70 70 26 24Afghanistan 35.5 35 7 1 48.5 68.9 60 5.3 45 2 1,900 24 457 23 20 62 65 7.6 12.1 78 <0.1 <0.1 71 40 13 4Bangladesh 164.7 19 5 -3 185.6 201.9 38 2.3 29 5 3,790 35 2,148 62 54 71 74 31.6 25.4 83 <0.1 <0.1 60 67 15 11Bhutan 0.8 19 6 1 0.9 1.0 27 2.1 27 5 8,070 39 798 66 65 70 70 0.2 0.1 23 — — 81 87 13 9India 1,352.6 21 7 -0 1,528.1 1,675.6 37 2.3 29 6 6,490 33 865 55 48 67 70 246.9 229.4 25 <0.1 <0.1 74 74 27 27Iran 80.6 20 5 -3 88.3 92.9 5 1.8 24 5 17,370 73 549 77 57 75 77 11.5 8.6 26 <0.1 <0.1 89 89 76 68Maldives 0.4 20 3 8 0.5 0.6 8 2.2 23 4 11,970 46 10,256 35 27 76 78 0.1 0.1 7 — — — — 12 20Nepal 29.4 20 6 -2 32.5 33.3 32 2.3 31 5 2,520 20 1,391 53 43 69 71 6.2 4.4 71 <0.1 <0.1 67 72 15 15Pakistan 199.3 29 7 -1 247.1 310.5 67 3.6 35 4 5,580 39 655 35 26 65 67 38.4 49.2 44 <0.1 <0.1 49 39 11 9Sri Lanka 21.4 16 6 -4 22.0 21.3 7 2.1 25 9 11,970 18 1,646 68 52 72 78 3.2 2.5 15 <0.1 <0.1 97 102 16 24

SOUTHEAST ASIA 644 18 7 -0 722 789 23 2.3 27 6 11,376 48 926 63 54 68 73 110 106 47 0.2 0.2 85 87 26 30Brunei 0.4 16 4 1 0.5 0.5 6 1.9 24 4 83,250 77 8,000 — — 75 79 0.1 0.1 11 — — 96 96 23 39Cambodia 15.9 24 6 -2 18.6 21.8 25 2.6 32 4 3,510 21 418 56 39 66 71 3.1 3.2 57 0.1 0.1 — — 14 12Indonesia 264.0 19 7 -1 295.6 321.6 23 2.4 28 5 11,220 54 1,123 61 60 67 71 44.8 44.2 48 0.3 0.2 86 86 23 26Laos 7.0 24 7 -4 8.2 9.3 43 2.8 34 4 5,920 40 459 50 43 65 68 1.4 1.3 94 <0.1 0.1 64 59 17 17Malaysia 31.6 17 5 4 36.8 41.7 7 2.0 25 6 26,900 75 3,312 52 34 73 77 5.9 5.3 13 0.1 <0.1 75 81 21 32Myanmar 53.4 18 8 -1 58.9 62.4 52 2.3 28 5 5,070 35 495 52 51 64 69 9.6 8.6 36 0.4 0.3 51 52 12 15Philippines 105.0 23 7 -1 125.5 151.4 21 2.8 32 5 9,400 45 1,878 55 37 66 73 20.1 23.9 57 0.2 <0.1 84 93 31 40Singapore 5.7 9 5 8 6.3 6.5 2.4 1.2 15 12 85,050 100 1,017,857 62 55 81 85 0.7 0.6 4 — — — — — —Thailand 66.1 11 8 0 66.6 62.6 10 1.5 18 11 16,070 49 393 78 76 72 79 9.1 6.0 51 0.4 0.2 133 125 41 57Timor-Leste 1.3 38 10 -8 1.7 2.4 39 5.6 44 3 4,340 33 839 22 21 67 70 0.3 0.5 46 — — 74 80 21 15Vietnam 93.7 16 7 -0 103.2 108.2 15 2.1 24 8 6,050 33 1,462 76 57 71 76 14.5 12.4 45 <0.1 <0.1 — — 29 29

EAST ASIA 1,625 12 7 0 1,653 1,557 9 1.8 16 12 18,561 62 1,414 82 79 76 79 192 150 7 — — 94 96 43 49China 1,386.8 13 7 -0 1,418.0 1,342.5 10 1.8 17 11 15,500 57 1,312 85 84 75 78 165.8 129.9 7 — — 93 96 40 47China, Hong Kong SARf 7.4 8 6 7 8.0 8.2 1.5 1.2 11 16 60,530 100 238,710 75 72 81 87 0.8 0.8 3 — — 103 99 64 74China, Macao SARf 0.6 11 3 11 0.7 0.8 2 1.1 12 10 98,450 100 — — — 80 86 0.1 0.1 3 — — 97 96 65 86Japan 126.7 8 10 1 119.1 101.9 1.9 1.5 12 28 42,870 94 3,000 54 44 81 87 11.9 9.0 4 — — 102 102 66 61Korea, North 25.5 14 9 -0 26.7 26.8 16 1.9 21 10 — 61 1,085 71 65 68 75 3.9 3.2 0 — — 93 94 36 20Korea, South 51.4 8 6 1 52.7 49.2 2.7 1.2 13 14 35,790 83 3,482 80 70 79 85 6.5 4.5 2 — — 99 98 105 80Mongolia 3.2 27 6 -1 3.8 4.7 15 3.0 29 4 11,290 67 564 55 48 66 75 0.5 0.6 40 <0.1 <0.1 91 92 58 80Taiwan 23.6 9 7 0 24.1 22.7 4.1 1.2 14 13 — 77 3,969 71 — 77 83 3.0 2.1 3 — — — — — —

EUROPE 745 11 11 2 751 736 4 1.6 16 18 33,677 74 269 70 56 75 81 78 74 15 — — 111 111 64 78EUROPEAN UNION 511 10 10 3 519 515 4 1.6 15 19 39,480 75 472 71 59 78 83 55 51 11 — — 115 115 61 75NORTHERN EUROPE 104 12 9 5 112 121 4 1.8 18 18 44,333 81 529 81 78 79 83 12 13 12 — — 126 132 54 72Channel Islands 0.2 10 8 8 0.2 0.2 8.0 1.5 16 17 — 32 4,796 — — 80 85 0.02 0.02 8 — — — — — —Denmark 5.8 11 9 6 6.1 6.3 3.1 1.8 17 19 51,040 88 239 — — 79 83 0.7 0.7 3 — — 128 133 70 96Estonia 1.3 11 12 1 1.3 1.1 2.5 1.6 16 19 28,920 68 201 63 58 73 82 0.1 0.1 13 — — 116 115 55 85Finland 5.5 10 10 3 5.8 5.9 1.9 1.6 16 21 43,400 84 247 77 75 78 84 0.6 0.6 6 — — 143 156 79 96Iceland 0.3 12 7 12 0.4 0.4 1.7 1.8 20 14 52,490 94 248 — — 81 84 0.04 0.04 8 — — 116 121 60 103Ireland 4.8 14 7 1 5.3 5.9 3.3 1.9 21 13 56,870 64 454 65 61 79 84 0.5 0.6 9 <0.1 <0.1 126 129 80 88Latvia 1.9 11 14 -5 1.7 1.5 4.1 1.7 15 20 26,090 68 157 68 56 70 79 0.2 0.1 18 0.4 0.3 120 119 55 79Lithuania 2.8 11 14 -10 2.7 2.4 4.5 1.7 15 19 28,840 67 119 63 50 69 80 0.3 0.3 14 <0.1 <0.1 110 106 56 82Norway 5.3 11 8 5 5.9 6.7 2.2 1.7 18 17 62,510 81 657 88 82 81 84 0.7 0.8 5 — — 115 111 63 91Sweden 10.1 12 9 12 11.3 12.4 2.5 1.9 18 20 50,000 86 390 75 65 81 84 1.2 1.4 4 <0.1 <0.1 132 150 50 76United Kingdom 66.2 12 9 5 71.7 77.7 3.9 1.8 18 18 42,100 83 1,062 84 84 79 82 7.8 8.4 14 — — 125 130 49 64

WESTERN EUROPE 195 10 10 4 202 207 3 1.7 15 20 47,708 80 574 73 68 79 84 22 21 8 — — 113 112 65 71Austria 8.8 10 9 7 9.4 9.8 3.1 1.5 14 19 49,990 66 651 66 63 79 84 1.0 0.9 8 — — 102 98 74 89Belgium 11.3 11 10 4 12.0 12.7 3.4 1.7 17 19 46,010 98 1,383 70 69 79 83 1.3 1.4 7 — — 156 178 65 85France 65.0 12 9 -3 68.5 72.3 3.5 1.9 18 19 42,380 80 355 83 77 79 85 7.6 8.0 9 0.1 0.1 110 111 58 71Germany 83.1 9 11 9 84.3 83.2 3.3 1.5 13 21 49,530 76 700 66 62 78 83 8.6 7.9 8 — — 106 100 70 67Liechtenstein 0.04 9 7 5 0.04 0.04 3.3 1.3 15 17 — 14 1,724 — — 81 83 — — 4 — — 131 102 45 22Luxembourg 0.6 10 7 16 0.7 0.7 3.8 1.4 16 14 75,750 90 958 — — 81 85 0.1 0.1 6 — — 101 103 18 21Monaco 0.04 7 7 10 0.04 0.04 — 1.5 13 26 — 100 — — — — — — — — — — — — — —Netherlands 17.1 10 9 5 17.9 18.1 3.5 1.7 16 18 50,320 91 1,636 73 70 80 84 2.1 1.9 3 <0.1 <0.1 135 136 75 82Switzerland 8.5 11 8 9 9.1 9.9 3.4 1.5 15 18 63,660 85 2,124 73 69 81 85 0.9 1.0 3 — — 103 99 57 59

EASTERN EUROPE 293 11 13 1 286 267 6 1.6 16 15 21,068 70 150 69 51 68 78 30 27 25 — — 104 102 66 83Belarus 9.5 12 13 1 9.3 9.1 3.2 1.7 17 15 17,210 78 168 63 52 69 79 1.0 1.0 20 <0.1 0.2 108 106 76 101Bulgaria 7.1 9 15 -1 6.6 5.8 6.5 1.5 14 21 19,020 73 204 69 40 71 78 0.6 0.6 39 <0.1 <0.1 101 97 65 83Czech Republic 10.6 11 10 2 10.7 10.4 2.8 1.6 15 18 32,710 73 337 86 78 76 81 1.0 1.0 12 <0.1 <0.1 105 106 54 76Hungary 9.8 10 13 0 9.7 9.5 3.9 1.5 14 18 25,640 72 223 81 71 72 79 1.1 0.9 23 — — 105 105 45 57Moldova 3.6 11 11 -0 3.4 2.9 9 1.3 16 11 5,670 43 198 60 42 68 76 0.5 0.3 25 0.2 0.2 86 86 35 47Poland 38.4 10 10 0 36.9 32.6 4.0 1.4 15 16 26,770 60 351 73 28 74 82 4.2 2.8 12 — — 110 106 54 83Romania 19.6 10 13 -2 17.4 13.9 7.3 1.2 16 17 22,950 55 223 70 50 72 79 2.1 1.4 35 <0.1 <0.1 93 92 48 59Russia 146.8 13 13 2 147.9 144.8 6.0 1.7 17 14 22,540 74 119 68 55 66 77 14.2 15.6 26 — — 106 103 73 88Slovakia 5.4 11 10 1 5.4 5.0 5.1 1.4 15 14 29,910 54 387 80 66 73 80 0.6 0.5 24 <0.1 <0.1 92 93 42 65Ukraine 42.3 9 14 0 39.0 33.5 7.4 1.5 15 16 8,190 70 130 65 48 66 76 4.2 3.4 34 0.2 0.6 100 98 77 88

SOUTHERN EUROPE 153 9 10 1 150 141 4 1.4 14 20 32,803 70 538 63 41 79 84 15 12 8 0.1 0.1 112 110 66 82Albania 2.9 11 7 -3 2.9 2.6 8.7 1.6 18 13 11,880 56 471 69 11 77 80 0.5 0.3 19 <0.1 <0.1 99 93 49 68Andorra 0.08 9 4 -4 0.08 0.07 3.4 1.2 14 14 — 85 2,857 — — — — — — — — — — — — —Bosnia-Herzegovina 3.5 9 11 -4 3.3 2.7 5 1.2 14 16 12,140 40 346 46 12 74 79 0.4 0.3 8 — — — — — —Croatia 4.1 9 12 -5 3.8 3.4 4.1 1.4 15 19 22,880 59 504 — — 74 80 0.5 0.3 10 — — 96 101 59 80Greece 10.7 8 11 -4 10.4 9.1 4.0 1.3 14 21 26,900 78 412 76 46 78 84 1.1 0.8 8 — — 109 103 114 114Italy 60.5 8 10 2 60.0 57.5 3.0 1.3 14 22 38,230 69 899 63 41 81 85 5.8 5.2 5 <0.1 <0.1 104 102 53 72Kosovog 1.8 13 5 2 1.8 1.8 12 1.8 24 8 10,200 38 — 66 14 74 79 — — 15 — — — — — —Macedoniah 2.1 11 10 1 2.1 1.9 12 1.5 17 13 14,480 57 507 40 13 73 77 0.3 0.2 12 <0.1 <0.1 80 78 38 47Malta 0.4 10 8 10 0.4 0.4 5.7 1.5 14 19 35,720 96 4,459 86 46 80 84 0.05 0.04 11 <0.1 <0.1 92 98 40 55Montenegro 0.6 12 10 2 0.6 0.7 3.5 1.6 18 14 17,090 64 6,873 23 15 74 79 0.1 0.1 12 <0.1 0.2 90 90 49 62Portugal 10.3 8 11 -1 10.0 9.2 3.2 1.4 14 21 29,990 64 906 74 — 78 83 1.1 0.8 8 — — 121 117 58 66San Marino 0.03 8 8 5 0.03 0.03 2.3 1.4 15 19 — 94 3,000 — — 85 89 — — — — — 93 96 50 70Serbia 7.0 9 14 -0 6.4 5.3 5.4 1.5 14 19 13,680 60 269 58 18 73 78 0.9 0.6 16 <0.1 <0.1 96 97 50 67Slovenia 2.1 10 10 0 2.0 1.9 1.8 1.6 15 17 32,360 50 1,140 79 63 78 84 0.2 0.2 5 <0.1 <0.1 111 111 68 98Spain 46.6 9 9 2 46.1 44.4 2.6 1.3 15 19 36,340 80 380 66 62 80 86 4.3 3.7 8 0.2 <0.1 130 130 82 97

OCEANIA 42 16 7 4 51 63 20 2.3 23 12 33,668 69 87 58 53 75 79 6 8 28 0.1 0.1 103 98 — —Australia 24.5 13 7 8 29.7 37.1 3.2 1.8 19 15 45,970 90 52 67 64 80 85 3.1 3.9 13 <0.1 <0.1 141 134 75 106Federated States of Micronesia 0.1 22 6 -13 0.1 0.1 32 3.0 34 4 4,330 23 5,000 — 70 68 70 0.02 0.02 15 — — — — — —Fiji 0.9 18 9 -6 1.0 1.1 14 3.1 29 6 9,140 51 546 29 — 67 73 0.2 0.2 44 0.1 <0.1 84 93 — —French Polynesia 0.3 14 5 -5 0.3 0.3 7.5 1.8 24 7 — 56 12,000 — — 74 78 0.05 0.04 36 — — — — — —Guam 0.2 21 6 -5 0.2 0.2 10.6 2.9 25 8 — 94 20,000 67 58 76 82 0.03 0.03 34 — — — — — —Kiribati 0.1 29 7 -4 0.1 0.2 44 3.8 35 4 3,240 44 5,000 22 18 63 70 0.02 0.03 18 — — — — — —Marshall Islands 0.06 27 4 -17 0.06 0.08 22 4.1 41 3 5,280 74 3,000 45 42 71 73 — — — — — 73 80 45 41Nauru 0.01 34 8 -8 0.01 0.01 18 3.9 37 13 17,520 100 — 36 25 63 71 — — — — — 82 83 — —New Caledonia 0.3 15 5 3 0.3 0.4 12 2.3 24 9 — 71 4,808 — — 74 80 0.05 0.05 20 — — — — — —New Zealand 4.8 13 7 3 5.1 5.3 3.6 1.9 20 15 37,860 86 814 75 72 80 83 0.7 0.6 21 — — 113 120 72 97Palau 0.02 13 9 0 0.02 0.02 12 2.2 21 7 14,740 88 2,000 33 30 70 77 — — — — — 96 95 49 76Papua New Guinea 8.3 28 7 -0 10.6 14.0 47 3.7 37 4 2,700 13 2,767 32 24 63 68 1.6 2.4 54 0.2 0.3 46 35 — —Samoa 0.2 26 5 -13 0.2 0.2 17 4.2 37 5 6,200 18 2,500 27 24 72 78 0.04 0.03 25 — — 81 90 — —Solomon Islands 0.7 29 5 -4 0.8 1.1 26 3.9 40 3 2,150 20 3,500 35 27 69 72 0.1 0.2 49 — — 50 47 — —Tonga 0.1 24 6 -11 0.1 0.1 20 3.6 36 6 5,760 24 556 34 28 70 76 0.02 0.02 15 — — 86 94 — —Tuvalu 0.01 25 9 -3 0.01 0.01 10 3.6 33 5 5,920 61 — 31 22 67 72 — — — — — 76 97 — —Vanuatu 0.3 27 5 0 0.4 0.6 22 3.4 36 4 3,050 26 1,500 49 36 70 74 0.1 0.1 43 — — 53 56 — —

Population mid-2017 (millions)

Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea

Total FertilityRateb

Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods

Males Females mid-2017 (millions)

mid-2050 (millions)

Adolescent Fertility Rate Ages 15-19

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016

Population Percent of Population


Contraceptiond

Life Expectancy at Birth (years)

Population Ages 15-24 Percent Ages 15-24With HIV/AIDS



POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD

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© 2017 Population Reference Bureau 2017 WORLD POPULATION DATA SHEET


Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016




EASTERN AFRICA 422 36 8 -1 586 886 47 4.7 43 3 2,154 27 636 41 38 62 65 86 164 111 1.3 2.3 38 36 7 4Burundi 10.4 42 11 -1 15.3 23.5 47 5.5 45 3 770 12 867 29 23 55 59 2.0 4.4 65 0.3 0.4 44 41 8 2Comoros 0.8 33 8 -3 1.1 1.5 55 4.3 40 3 1,520 28 1,231 19 14 62 65 0.2 0.3 70 <0.1 <0.1 58 62 10 8Djibouti 1.0 23 8 1 1.1 1.3 53 2.9 32 4 — 77 50,000 19 18 61 64 0.2 0.2 20 0.4 0.6 53 43 6 4Eritrea 5.9 31 7 -15 6.8 8.9 46 4.2 41 4 1,500 23 855 8 7 62 67 1.1 1.6 54 0.2 0.2 33 28 3 2Ethiopia 105.0 33 7 -0 139.6 190.9 48 4.6 42 3 1,730 20 695 36 35 63 67 22.8 33.1 80 0.4 0.5 36 34 11 5Kenya 49.7 32 6 -0 67.0 95.5 37 3.9 41 3 3,130 26 857 64 61 64 69 10.1 16.7 96 1.9 3.5 63 57 5 3Madagascar 25.5 33 7 -0 34.2 48.1 33 4.2 41 3 1,440 36 729 40 33 64 67 5.2 8.8 152 0.2 0.1 39 38 5 5Malawi 18.6 35 8 0 25.6 37.4 42 4.4 44 3 1,140 16 490 59 58 60 65 3.9 7.0 136 2.2 4.5 46 41 1 1Mauritius 1.3 10 8 -1 1.2 1.1 13.7 1.4 20 9 20,980 41 1,733 64 31 71 78 0.2 0.1 27 — — 94 98 32 42Mayotte 0.2 39 2 -0 0.3 0.5 4 5.0 44 3 — 47 2,247 — — 75 77 0.04 0.1 58 — — — — — —Mozambique 29.7 39 10 -0 42.4 67.8 65 5.3 45 3 1,190 33 526 27 25 56 60 5.9 13.2 194 2.8 4.6 34 31 7 5Reunion 0.9 17 5 -6 1.0 1.1 7 2.5 24 11 — 95 2,528 67 64 77 84 0.1 0.1 46 — — — — — —Rwanda 12.3 33 6 -1 16.6 24.3 32 4.2 40 3 1,870 30 1,070 53 48 65 69 2.4 4.1 45 0.7 1.3 35 38 9 7Seychelles 0.09 17 8 -3 0.1 0.1 13.4 2.3 22 8 28,390 54 112,500 — — 68 78 0.01 0.01 58 — — 79 84 9 20Somalia 14.7 44 12 -3 21.5 35.9 74 6.4 47 3 — 40 1,336 15 14 54 58 2.9 7.1 103 <0.1 0.1 — — — —South Sudan 12.6 37 11 5 17.9 27.9 72 5.1 42 3 1,700 19 — 4 2 55 57 2.6 5.2 67 0.6 1.1 12 7 — —Tanzania 57.5 40 7 -1 86.7 152.2 43 5.2 45 3 2,740 32 426 38 32 63 67 11.2 29.1 132 0.9 2.3 34 31 5 2Uganda 42.8 40 9 -1 61.6 95.6 43 5.4 48 3 1,820 20 620 39 35 62 64 8.8 18.9 132 1.9 3.8 24 22 5 4Zambia 16.4 39 8 -0 23.9 39.3 50 5.2 45 3 3,790 40 432 49 45 59 64 3.4 7.6 141 4.1 6.9 — — 5 3Zimbabwe 16.6 36 9 -2 22.4 33.2 50 4.0 41 3 1,920 33 415 67 66 59 62 3.3 5.8 110 2.8 5.7 48 47 9 8





CARIBBEAN 43 17 8 -2 46 47 29 2.2 25 10 — 71 821 59 56 71 76 7 6 64 0.4 0.5 83 89 36 58Antigua and Barbuda 0.1 15 6 -0 0.1 0.1 8 1.9 25 7 21,840 23 2,500 — — 74 79 0.02 0.01 45 — — 102 104 15 31Bahamas 0.4 13 6 4 0.4 0.4 9 1.7 21 8 22,090 83 5,000 — — 72 78 0.1 0.05 29 1.9 1.5 90 95 — —Barbados 0.3 11 9 1 0.3 0.3 9 1.7 19 15 16,070 31 2,727 59 55 73 78 0.04 0.03 40 0.3 0.3 108 111 40 91Cuba 11.3 11 9 -5 10.8 9.8 4.3 1.7 17 15 — 77 366 74 72 76 81 1.4 0.9 46 0.3 0.2 98 103 30 43Curaçao 0.2 11 9 7 0.2 0.2 11.4 1.7 18 16 — 89 — — — 75 81 0.03 0.02 33 — — 86 91 12 28Dominica 0.07 12 8 1 0.08 0.08 20 1.8 22 10 10,610 70 1,167 — — 73 78 — — — — — 101 100 — —Dominican Republic 10.7 21 6 -3 12.1 13.2 31 2.5 30 7 14,480 80 1,338 70 68 71 77 1.9 1.8 89 0.3 0.4 74 82 35 65Grenada 0.1 17 8 -2 0.1 15 2.1 26 7 13,440 36 3,333 — — 74 79 0.02 0.01 31 — — 99 99 85 98Guadeloupe 0.4 12 7 -5 0.4 7.3 2.1 20 17 — 98 1,794 — — 77 85 0.1 0.05 14 — — — — — —Haiti 10.6 23 8 2 12.4 14.5 48 2.9 33 4 1,790 60 991 35 31 61 66 2.1 2.2 66 0.5 0.8 — — — —Jamaica 2.9 17 7 -6 2.9 2.7 14 2.0 23 9 8,500 55 2,417 73 68 73 78 0.5 0.3 70 0.9 0.6 79 85 20 35Martinique 0.4 11 8 -5 0.4 0.3 6 2.0 18 19 — 89 3,960 — — 79 85 0.05 0.03 19 — — — — — —Puerto Rico 3.4 9 8 -5 3.2 2.7 7.0 1.3 16 19 24,020 99 5,574 84 72 76 83 0.5 0.3 39 — — 79 84 70 99St. Kitts-Nevis 0.05 14 9 3 0.06 0.06 17 1.8 21 8 25,940 32 1,000 — — 73 78 — — — — — 88 93 53 107Saint Lucia 0.2 12 6 4 0.2 0.2 18 1.5 21 11 11,370 19 6,667 56 53 75 83 0.04 0.02 42 — — 85 85 12 22St. Vincent and the Grenadines 0.1 16 9 -6 0.1 0.1 18 2.1 25 7 11,530 51 2,000 — — 70 75 0.02 0.01 51 — — 108 105 — —Trinidad and Tobago 1.4 14 8 -2 1.4 1.3 13 1.7 19 10 30,810 8 5,600 43 38 69 75 0.2 0.1 32 0.4 0.3 — — — —













Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

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Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

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Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016




EASTERN AFRICA 422 36 8 -1 586 886 47 4.7 43 3 2,154 27 636 41 38 62 65 86 164 111 1.3 2.3 38 36 7 4Burundi 10.4 42 11 -1 15.3 23.5 47 5.5 45 3 770 12 867 29 23 55 59 2.0 4.4 65 0.3 0.4 44 41 8 2Comoros 0.8 33 8 -3 1.1 1.5 55 4.3 40 3 1,520 28 1,231 19 14 62 65 0.2 0.3 70 <0.1 <0.1 58 62 10 8Djibouti 1.0 23 8 1 1.1 1.3 53 2.9 32 4 — 77 50,000 19 18 61 64 0.2 0.2 20 0.4 0.6 53 43 6 4Eritrea 5.9 31 7 -15 6.8 8.9 46 4.2 41 4 1,500 23 855 8 7 62 67 1.1 1.6 54 0.2 0.2 33 28 3 2Ethiopia 105.0 33 7 -0 139.6 190.9 48 4.6 42 3 1,730 20 695 36 35 63 67 22.8 33.1 80 0.4 0.5 36 34 11 5Kenya 49.7 32 6 -0 67.0 95.5 37 3.9 41 3 3,130 26 857 64 61 64 69 10.1 16.7 96 1.9 3.5 63 57 5 3Madagascar 25.5 33 7 -0 34.2 48.1 33 4.2 41 3 1,440 36 729 40 33 64 67 5.2 8.8 152 0.2 0.1 39 38 5 5Malawi 18.6 35 8 0 25.6 37.4 42 4.4 44 3 1,140 16 490 59 58 60 65 3.9 7.0 136 2.2 4.5 46 41 1 1Mauritius 1.3 10 8 -1 1.2 1.1 13.7 1.4 20 9 20,980 41 1,733 64 31 71 78 0.2 0.1 27 — — 94 98 32 42Mayotte 0.2 39 2 -0 0.3 0.5 4 5.0 44 3 — 47 2,247 — — 75 77 0.04 0.1 58 — — — — — —Mozambique 29.7 39 10 -0 42.4 67.8 65 5.3 45 3 1,190 33 526 27 25 56 60 5.9 13.2 194 2.8 4.6 34 31 7 5Reunion 0.9 17 5 -6 1.0 1.1 7 2.5 24 11 — 95 2,528 67 64 77 84 0.1 0.1 46 — — — — — —Rwanda 12.3 33 6 -1 16.6 24.3 32 4.2 40 3 1,870 30 1,070 53 48 65 69 2.4 4.1 45 0.7 1.3 35 38 9 7Seychelles 0.09 17 8 -3 0.1 0.1 13.4 2.3 22 8 28,390 54 112,500 — — 68 78 0.01 0.01 58 — — 79 84 9 20Somalia 14.7 44 12 -3 35.9 74 6.4 47 3 — 40 1,336 15 14 54 58 2.9 7.1 103 <0.1 0.1 — — — —South Sudan 12.6 37 11 5 27.9 72 5.1 42 3 1,700 19 — 4 2 57 2.6 5.2 67 0.6 1.1 12 7 — —Tanzania 57.5 40 7 -1 86.7 152.2 43 5.2 45 3 2,740 32 426 38 32 63 67 11.2 29.1 132 0.9 2.3 34 31 5 2Uganda 42.8 40 9 -1 61.6 95.6 43 5.4 48 3 1,820 20 620 39 35 62 64 8.8 18.9 132 1.9 3.8 24 22 5 4Zambia 16.4 39 8 -0 23.9 39.3 50 5.2 45 3 3,790 40 432 49 45 59 64 3.4 7.6 141 4.1 6.9 — — 5 3Zimbabwe 16.6 36 9 -2 22.4 33.2 50 4.0 41 3 1,920 33 415 67 66 59 62 3.3 5.8 110 2.8 5.7 48 47 9 8


















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Page 4 of 16



Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Page 5 of 16



Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc 2016

PercentUrban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Page 6 of 16



Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016




EASTERN AFRICA 422 36 8 -1 586 886 47 4.7 43 3 2,154 27 636 41 38 62 65 86 164 111 1.3 2.3 38 36 7 4Burundi 10.4 42 11 -1 15.3 23.5 47 5.5 45 3 770 12 867 29 23 55 59 2.0 4.4 65 0.3 0.4 44 41 8 2Comoros 0.8 33 8 -3 1.1 1.5 55 4.3 40 3 1,520 28 1,231 19 14 62 65 0.2 0.3 70 <0.1 <0.1 58 62 10 8Djibouti 1.0 23 8 1 1.1 1.3 53 2.9 32 4 — 77 50,000 19 18 61 64 0.2 0.2 20 0.4 0.6 53 43 6 4Eritrea 5.9 31 7 -15 6.8 8.9 46 4.2 41 4 1,500 23 855 8 7 62 67 1.1 1.6 54 0.2 0.2 33 28 3 2Ethiopia 105.0 33 7 -0 139.6 190.9 48 4.6 42 3 1,730 20 695 36 35 63 67 22.8 33.1 80 0.4 0.5 36 34 11 5Kenya 49.7 32 6 -0 67.0 95.5 37 3.9 41 3 3,130 26 857 64 61 64 69 10.1 16.7 96 1.9 3.5 63 57 5 3Madagascar 25.5 33 7 -0 34.2 48.1 33 4.2 41 3 1,440 36 729 40 33 64 67 5.2 8.8 152 0.2 0.1 39 38 5 5Malawi 18.6 35 8 0 25.6 37.4 42 4.4 44 3 1,140 16 490 59 58 60 65 3.9 7.0 136 2.2 4.5 46 41 1 1Mauritius 1.3 10 8 -1 1.2 1.1 13.7 1.4 20 9 20,980 41 1,733 64 31 71 78 0.2 0.1 27 — — 94 98 32 42Mayotte 0.2 39 2 -0 0.3 0.5 4 5.0 44 3 — 47 2,247 — — 75 77 0.04 0.1 58 — — — — — —Mozambique 29.7 39 10 -0 42.4 67.8 65 5.3 45 3 1,190 33 526 27 25 56 60 5.9 13.2 194 2.8 4.6 34 31 7 5Reunion 0.9 17 5 -6 1.0 1.1 7 2.5 24 11 — 95 2,528 67 64 77 84 0.1 0.1 46 — — — — — —Rwanda 12.3 33 6 -1 16.6 24.3 32 4.2 40 3 1,870 30 1,070 53 48 65 69 2.4 4.1 45 0.7 1.3 35 38 9 7Seychelles 0.09 17 8 -3 0.1 0.1 13.4 2.3 22 8 28,390 54 112,500 — — 68 78 0.01 0.01 58 — — 79 84 9 20Somalia 14.7 44 12 -3 35.9 74 6.4 47 3 — 40 15 14 54 58 2.9 7.1 103 <0.1 0.1 — — — —South Sudan 12.6 37 11 5 17.9 27.9 72 5.1 42 3 1,700 19 — 4 2 55 57 2.6 5.2 67 0.6 1.1 12 7 — —Tanzania 57.5 40 7 -1 86.7 152.2 43 5.2 45 3 2,740 32 426 38 32 63 67 11.2 29.1 132 0.9 2.3 34 31 5 2Uganda 42.8 40 9 -1 61.6 95.6 43 5.4 48 3 1,820 20 620 39 35 62 64 8.8 18.9 132 1.9 3.8 24 22 5 4Zambia 16.4 39 8 -0 23.9 39.3 50 5.2 45 3 3,790 40 432 49 45 59 64 3.4 7.6 141 4.1 6.9 — — 5 3Zimbabwe 16.6 36 9 -2 22.4 33.2 50 4.0 41 3 1,920 33 415 67 66 59 62 3.3 5.8 110 2.8 5.7 48 47 9 8


















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


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mid-2050 (millions)

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Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



















SOUTHERN EUROPE 153 9 10 1 150 141 4 1.4 14 20 32,803 70 538 63 41 79 84 15 12 8 0.1 0.1 112 110 66 82Albania 2.9 11 7 -3 2.9 2.6 8.7 1.6 18 13 11,880 56 471 69 11 77 80 0.5 0.3 19 <0.1 <0.1 99 93 49 68Andorra 0.08 9 4 -4 0.08 0.07 3.4 1.2 14 14 — 85 2,857 — — — — — — — — — — — — —Bosnia-Herzegovina 3.5 9 11 -4 3.3 2.7 5 1.2 14 16 12,140 40 346 46 12 74 79 0.4 0.3 8 — — — — — —Croatia 4.1 9 12 -5 3.8 3.4 4.1 1.4 15 19 22,880 59 504 — — 74 80 0.5 0.3 10 — — 96 101 59 80Greece 10.7 8 11 -4 10.4 9.1 4.0 1.3 14 21 26,900 78 412 76 46 78 84 1.1 0.8 8 — — 109 103 114 114Italy 60.5 8 10 2 60.0 57.5 3.0 1.3 14 22 38,230 69 899 63 41 81 85 5.8 5.2 5 <0.1 <0.1 104 102 53 72Kosovog 1.8 13 5 2 1.8 1.8 12 1.8 24 8 10,200 38 — 66 14 74 79 — — 15 — — — — — —Macedoniah 2.1 11 10 1 2.1 1.9 12 1.5 17 13 14,480 57 507 40 13 73 77 0.3 0.2 12 <0.1 <0.1 80 78 38 47Malta 0.4 10 8 10 0.4 0.4 5.7 1.5 14 19 35,720 96 4,459 86 46 80 84 0.05 0.04 11 <0.1 <0.1 92 98 40 55Montenegro 0.6 12 10 2 0.6 0.7 3.5 1.6 18 14 17,090 64 6,873 23 15 74 79 0.1 0.1 12 <0.1 0.2 90 90 49 62Portugal 10.3 8 11 -1 10.0 9.2 3.2 1.4 14 21 29,990 64 906 74 — 78 83 1.1 0.8 8 — — 121 117 58 66San Marino 0.03 8 8 5 0.03 2.3 1.4 15 19 — 94 3,000 — — 85 89 — — — — — 93 96 50 70Serbia 7.0 9 14 -0 6.4 5.3 5.4 1.5 14 19 13,680 60 269 58 18 73 78 0.9 0.6 16 <0.1 <0.1 96 97 50 67Slovenia 2.1 10 10 0 2.0 1.9 1.8 1.6 15 17 32,360 50 1,140 79 63 78 84 0.2 0.2 5 <0.1 <0.1 111 111 68 98Spain 46.6 9 9 2 46.1 44.4 2.6 1.3 15 19 36,340 80 380 66 62 80 86 4.3 3.7 8 0.2 <0.1 130 130 82 97



Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc 2016

PercentUrban



All Methods

Modern Methods


mid-2050 (millions)


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Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Page 7 of 16



Birthsper 1,000

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Deathsper 1,000

Population


1,000


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Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

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Males 2009/2016

Females 2009/2016

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Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

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Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


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Females 2009/2016



Contraceptiond






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mid-2030 (millions)

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mid-2030 (millions)

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Contraceptiond






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© 2017 Population Reference Bureau


Birthsper 1,000

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PPPc

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mid-2030 (millions)

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Males 2009/2016

Females 2009/2016




EASTERN AFRICA 422 36 8 -1 586 886 47 4.7 43 3 2,154 27 636 41 38 62 65 86 164 111 1.3 2.3 38 36 7 4Burundi 10.4 42 11 -1 15.3 23.5 47 5.5 45 3 770 12 867 29 23 55 59 2.0 4.4 65 0.3 0.4 44 41 8 2Comoros 0.8 33 8 -3 1.1 1.5 55 4.3 40 3 1,520 28 1,231 19 14 62 65 0.2 0.3 70 <0.1 <0.1 58 62 10 8Djibouti 1.0 23 8 1 1.1 1.3 53 2.9 32 4 — 77 50,000 19 18 61 64 0.2 0.2 20 0.4 0.6 53 43 6 4Eritrea 5.9 31 7 -15 6.8 8.9 46 4.2 41 4 1,500 23 855 8 7 62 67 1.1 1.6 54 0.2 0.2 33 28 3 2Ethiopia 105.0 33 7 -0 139.6 190.9 48 4.6 42 3 1,730 20 695 36 35 63 67 22.8 33.1 80 0.4 0.5 36 34 11 5Kenya 49.7 32 6 -0 67.0 95.5 37 3.9 41 3 3,130 26 857 64 61 64 69 10.1 16.7 96 1.9 3.5 63 57 5 3Madagascar 25.5 33 7 -0 34.2 48.1 33 4.2 41 3 1,440 36 729 40 33 64 67 5.2 8.8 152 0.2 0.1 39 38 5 5Malawi 18.6 35 8 0 25.6 37.4 42 4.4 44 3 1,140 16 490 59 58 60 65 3.9 7.0 136 2.2 4.5 46 41 1 1Mauritius 1.3 10 8 -1 1.2 1.1 13.7 1.4 20 9 20,980 41 1,733 64 31 71 78 0.2 0.1 27 — — 94 98 32 42Mayotte 0.2 39 2 -0 0.3 0.5 4 5.0 44 3 — 47 2,247 — — 75 77 0.04 0.1 58 — — — — — —Mozambique 29.7 39 10 -0 42.4 67.8 65 5.3 45 3 1,190 33 526 27 25 56 60 5.9 13.2 194 2.8 4.6 34 31 7 5Reunion 0.9 17 5 -6 1.0 1.1 7 2.5 24 11 — 95 2,528 67 64 77 84 0.1 0.1 46 — — — — — —Rwanda 12.3 33 6 -1 16.6 24.3 32 4.2 40 3 1,870 30 1,070 53 48 65 69 2.4 4.1 45 0.7 1.3 35 38 9 7Seychelles 0.09 17 8 -3 0.1 0.1 13.4 2.3 22 8 28,390 54 112,500 — — 68 78 0.01 0.01 58 — — 79 84 9 20Somalia 14.7 44 12 -3 21.5 35.9 74 6.4 47 3 — 40 1,336 15 14 54 58 2.9 7.1 <0.1 0.1 — — —South Sudan 12.6 37 11 5 17.9 27.9 72 5.1 42 3 1,700 19 — 4 2 55 57 2.6 5.2 67 0.6 1.1 12 7 — —Tanzania 57.5 40 7 -1 86.7 152.2 43 5.2 45 3 2,740 32 426 38 32 63 67 11.2 29.1 132 0.9 2.3 34 31 5 2Uganda 42.8 40 9 -1 61.6 95.6 43 5.4 48 3 1,820 20 620 39 35 62 64 8.8 18.9 132 1.9 3.8 24 22 5 4Zambia 16.4 39 8 -0 23.9 39.3 50 5.2 45 3 3,790 40 432 49 45 59 64 3.4 7.6 141 4.1 6.9 — — 5 3Zimbabwe 16.6 36 9 -2 22.4 33.2 50 4.0 41 3 1,920 33 415 67 66 59 62 3.3 5.8 110 2.8 5.7 48 47 9 8


















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






2017 WORLD POPULATION DATA SHEETA SHEPage 9 of 16



Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016









CARIBBEAN 43 17 8 -2 46 47 29 2.2 25 10 — 71 821 59 56 71 76 7 6 64 0.4 0.5 83 89 36 58Antigua and Barbuda 0.1 15 6 -0 0.1 0.1 8 1.9 25 7 21,840 23 2,500 — — 74 79 0.02 0.01 45 — — 102 104 15 31Bahamas 0.4 13 6 4 0.4 0.4 9 1.7 21 8 22,090 83 5,000 — — 72 78 0.1 0.05 29 1.9 1.5 90 95 — —Barbados 0.3 11 9 1 0.3 0.3 9 1.7 19 15 16,070 31 2,727 59 55 73 78 0.04 0.03 40 0.3 0.3 108 111 40 91Cuba 11.3 11 9 -5 10.8 9.8 4.3 1.7 17 15 — 77 366 74 72 76 81 1.4 0.9 46 0.3 0.2 98 103 30 43Curaçao 0.2 11 9 7 0.2 0.2 11.4 1.7 18 16 — 89 — — — 75 81 0.03 0.02 33 — — 86 91 12 28Dominica 0.07 12 8 1 0.08 0.08 20 1.8 22 10 10,610 70 1,167 — — 73 78 — — — — — 101 100 — —Dominican Republic 10.7 21 6 -3 12.1 13.2 31 2.5 30 7 14,480 80 1,338 70 68 71 77 1.9 1.8 89 0.3 0.4 74 82 35 65Grenada 0.1 17 8 -2 0.1 15 2.1 26 7 13,440 36 3,333 — — 74 79 0.02 0.01 31 — — 99 99 85 98Guadeloupe 0.4 12 7 -5 0.4 0.4 7.3 2.1 20 17 — 98 1,794 — — 77 85 0.1 0.05 14 — — — — — —Haiti 10.6 23 8 2 12.4 14.5 48 2.9 33 4 1,790 60 991 35 31 61 66 2.1 2.2 66 0.5 0.8 — — — —Jamaica 2.9 17 7 -6 2.9 2.7 14 2.0 23 9 8,500 55 2,417 73 68 73 78 0.5 0.3 70 0.9 0.6 79 85 20 35Martinique 0.4 11 8 -5 0.4 0.3 6 2.0 18 19 — 89 3,960 — — 79 85 0.05 0.03 19 — — — — — —Puerto Rico 3.4 9 8 -5 3.2 2.7 7.0 1.3 16 19 24,020 99 5,574 84 72 76 83 0.5 0.3 39 — — 79 84 70 99St. Kitts-Nevis 0.05 14 9 3 0.06 0.06 17 1.8 21 8 25,940 32 1,000 — — 73 78 — — — — — 88 93 53 107Saint Lucia 0.2 12 6 4 0.2 0.2 18 1.5 21 11 11,370 19 6,667 56 53 75 83 0.04 0.02 42 — — 85 85 12 22St. Vincent and the Grenadines 0.1 16 9 -6 0.1 0.1 18 2.1 25 7 11,530 51 2,000 — — 70 75 0.02 0.01 51 — — 108 105 — —Trinidad and Tobago 1.4 14 8 -2 1.4 1.3 13 1.7 19 10 30,810 8 5,600 43 38 69 75 0.2 0.1 32 0.4 0.3 — — — —













Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016




EASTERN AFRICA 422 36 8 -1 586 886 47 4.7 43 3 2,154 27 636 41 38 62 65 86 164 111 1.3 2.3 38 36 7 4Burundi 10.4 42 11 -1 15.3 23.5 47 5.5 45 3 770 12 867 29 23 55 59 2.0 4.4 65 0.3 0.4 44 41 8 2Comoros 0.8 33 8 -3 1.1 1.5 55 4.3 40 3 1,520 28 1,231 19 14 62 65 0.2 0.3 70 <0.1 <0.1 58 62 10 8Djibouti 1.0 23 8 1 1.1 1.3 53 2.9 32 4 — 77 50,000 19 18 61 64 0.2 0.2 20 0.4 0.6 53 43 6 4Eritrea 5.9 31 7 -15 6.8 8.9 46 4.2 41 4 1,500 23 855 8 7 62 67 1.1 1.6 54 0.2 0.2 33 28 3 2Ethiopia 105.0 33 7 -0 139.6 190.9 48 4.6 42 3 1,730 20 695 36 35 63 67 22.8 33.1 80 0.4 0.5 36 34 11 5Kenya 49.7 32 6 -0 67.0 95.5 37 3.9 41 3 3,130 26 857 64 61 64 69 10.1 16.7 96 1.9 3.5 63 57 5 3Madagascar 25.5 33 7 -0 34.2 48.1 33 4.2 41 3 1,440 36 729 40 33 64 67 5.2 8.8 152 0.2 0.1 39 38 5 5Malawi 18.6 35 8 0 25.6 37.4 42 4.4 44 3 1,140 16 490 59 58 60 65 3.9 7.0 136 2.2 4.5 46 41 1 1Mauritius 1.3 10 8 -1 1.2 1.1 13.7 1.4 20 9 20,980 41 1,733 64 31 71 78 0.2 0.1 27 — — 94 98 32 42Mayotte 0.2 39 2 -0 0.3 0.5 4 5.0 44 3 — 47 2,247 — — 75 77 0.04 0.1 58 — — — — — —Mozambique 29.7 39 10 -0 42.4 67.8 65 5.3 45 3 1,190 33 526 27 25 56 60 5.9 13.2 194 2.8 4.6 34 31 7 5Reunion 0.9 17 5 -6 1.0 1.1 7 2.5 24 11 — 95 2,528 67 64 77 84 0.1 0.1 46 — — — — — —Rwanda 12.3 33 6 -1 16.6 24.3 32 4.2 40 3 1,870 30 1,070 53 48 65 69 2.4 4.1 45 0.7 1.3 35 38 9 7Seychelles 0.09 17 8 -3 0.1 0.1 13.4 2.3 22 8 28,390 54 112,500 — — 68 78 0.01 0.01 58 — — 79 84 9 20Somalia 14.7 44 12 -3 21.5 35.9 74 6.4 47 3 — 40 1,336 15 14 54 58 2.9 7.1 1 <0.1 0.1 — — — —South Sudan 12.6 37 11 5 17.9 27.9 72 5.1 42 3 1,700 19 — 4 2 55 57 2.6 5.2 0.6 1.1 12 7 — —Tanzania 57.5 40 7 -1 86.7 152.2 43 5.2 45 3 2,740 32 426 38 32 63 67 11.2 29.1 132 0.9 2.3 34 31 5 2Uganda 42.8 40 9 -1 61.6 95.6 43 5.4 48 3 1,820 20 620 39 35 62 64 8.8 18.9 132 1.9 3.8 24 22 5 4Zambia 16.4 39 8 -0 23.9 39.3 50 5.2 45 3 3,790 40 432 49 45 59 64 3.4 7.6 141 4.1 6.9 — — 5 3Zimbabwe 16.6 36 9 -2 22.4 33.2 50 4.0 41 3 1,920 33 415 67 66 59 62 3.3 5.8 110 2.8 5.7 48 47 9 8


















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Page 10 of 16



Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016











ASIA 4,494 18 7 -0 4,938 5,245 28 2.2 24 8 12,833 49 933 65 59 71 74 706 657 30 — — 80 80 33 35ASIA (Excl. China) 3,099 20 7 -0 3,512 3,894 34 2.4 28 7 11,454 45 825 57 47 69 73 539 526 37 0.1 0.1 76 75 30 30WESTERN ASIA 269 21 5 3 325 390 22 2.8 29 5 27,583 71 691 52 35 72 76 46 55 41 — — 88 81 59 57Armenia 3.0 14 9 -8 2.8 2.4 9 1.6 20 11 9,000 64 670 57 28 72 78 0.4 0.2 24 0.1 <0.1 88 89 42 47Azerbaijan 9.9 17 6 0 11.3 11.7 11 2.0 23 6 16,130 53 514 51 14 73 78 1.5 1.4 56 <0.1 <0.1 — — 24 27Bahrain 1.5 14 2 19 1.9 2.1 6 1.9 21 2 44,690 100 93,750 62 31 76 78 0.2 0.2 14 <0.1 <0.1 102 102 31 59Cyprus 1.2 12 6 7 1.3 1.4 2 1.4 17 13 31,420 67 1,504 — — 80 84 0.2 0.1 5 — — 100 99 51 69Georgia 3.9 15 14 -2 3.7 3.4 9 1.7 19 14 9,450 57 853 53 35 68 77 0.5 0.4 48 0.1 0.1 104 104 39 48Iraq 39.2 32 4 2 53.4 76.5 38 4.1 40 3 17,240 70 779 53 36 67 72 7.6 13.8 83 — — — — — —Israel 8.3 21 5 1 10.3 13.8 3.1 3.1 28 11 37,400 91 2,762 — — 80 84 1.2 1.9 10 — — 102 103 55 75Jordan 9.7 26 4 12 10.7 12.7 16 3.3 36 4 8,980 84 4,084 61 42 73 76 1.8 2.0 26 <0.1 <0.1 80 85 43 47Kuwait 4.1 15 2 22 4.9 5.6 8 2.0 21 2 83,420 98 43,158 52 39 74 76 0.5 0.6 10 <0.1 <0.1 88 103 20 33Lebanon 6.2 14 5 15 5.5 5.6 8 1.7 25 7 13,860 88 4,697 55 47 76 79 1.2 0.6 12 <0.1 <0.1 61 61 40 46Oman 4.7 21 3 36 6.1 7.3 9 2.9 22 3 41,320 75 12,368 30 19 75 79 0.7 0.8 11 — — 101 108 — —Palestinian Territory 4.9 31 4 -2 6.5 8.7 18 4.0 40 3 3,290 75 7,656 57 44 71 75 1.0 1.5 48 — — 79 87 35 54Qatar 2.7 11 1 36 3.3 3.8 7 2.0 14 1 124,740 99 20,611 38 34 77 80 0.4 0.4 10 <0.1 <0.1 82 104 6 44Saudi Arabia 32.6 20 4 7 39.1 44.6 12 2.6 25 3 55,760 83 931 28 24 73 76 4.8 5.2 9 <0.1 <0.1 123 94 64 62Syria 18.3 22 6 -21 26.6 34.0 17 2.9 37 4 — 58 393 54 38 64 77 3.8 5.1 40 — — 50 51 41 47Turkey 80.9 17 5 4 89.7 94.8 10 2.1 24 8 23,990 74 391 74 47 75 81 13.3 11.2 25 — — 104 101 101 88United Arab Emirates 9.4 10 2 9 11.1 13.2 6 1.8 14 1 72,850 86 25,067 28 24 76 79 1.1 1.2 28 — — — — — —Yemen 28.3 32 7 -1 48.3 45 4.1 41 3 2,490 35 2,268 34 29 63 66 6.0 8.3 67 <0.1 <0.1 57 40 14 6











Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016











ASIA 4,494 18 7 -0 4,938 5,245 28 2.2 24 8 12,833 49 933 65 59 71 74 706 657 30 — — 80 80 33 35ASIA (Excl. China) 3,099 20 7 -0 3,512 3,894 34 2.4 28 7 11,454 45 825 57 47 69 73 539 526 37 0.1 0.1 76 75 30 30WESTERN ASIA 269 21 5 3 325 390 22 2.8 29 5 27,583 71 691 52 35 72 76 46 55 41 — — 88 81 59 57Armenia 3.0 14 9 -8 2.8 2.4 9 1.6 20 11 9,000 64 670 57 28 72 78 0.4 0.2 24 0.1 <0.1 88 89 42 47Azerbaijan 9.9 17 6 0 11.3 11.7 11 2.0 23 6 16,130 53 514 51 14 73 78 1.5 1.4 56 <0.1 <0.1 — — 24 27Bahrain 1.5 14 2 19 1.9 2.1 6 1.9 21 2 44,690 100 93,750 62 31 76 78 0.2 0.2 14 <0.1 <0.1 102 102 31 59Cyprus 1.2 12 6 7 1.3 1.4 2 1.4 17 13 31,420 67 1,504 — — 80 84 0.2 0.1 5 — — 100 99 51 69Georgia 3.9 15 14 -2 3.7 3.4 9 1.7 19 14 9,450 57 853 53 35 68 77 0.5 0.4 48 0.1 0.1 104 104 39 48Iraq 39.2 32 4 2 53.4 76.5 38 4.1 40 3 17,240 70 779 53 36 67 72 7.6 13.8 83 — — — — — —Israel 8.3 21 5 1 10.3 13.8 3.1 3.1 28 11 37,400 91 2,762 — — 80 84 1.2 1.9 10 — — 102 103 55 75Jordan 9.7 26 4 12 10.7 12.7 16 3.3 36 4 8,980 84 4,084 61 42 73 76 1.8 2.0 26 <0.1 <0.1 80 85 43 47Kuwait 4.1 15 2 22 4.9 5.6 8 2.0 21 2 83,420 98 43,158 52 39 74 76 0.5 0.6 10 <0.1 <0.1 88 103 20 33Lebanon 6.2 14 5 15 5.5 5.6 8 1.7 25 7 13,860 88 4,697 55 47 76 79 1.2 0.6 12 <0.1 <0.1 61 61 40 46Oman 4.7 21 3 36 6.1 7.3 9 2.9 22 3 41,320 75 12,368 30 19 75 79 0.7 0.8 11 — — 101 108 — —Palestinian Territory 4.9 31 4 -2 6.5 8.7 18 4.0 40 3 3,290 75 7,656 57 44 71 75 1.0 1.5 48 — — 79 87 35 54Qatar 2.7 11 1 36 3.3 3.8 7 2.0 14 1 124,740 99 20,611 38 34 77 80 0.4 0.4 10 <0.1 <0.1 82 104 6 44Saudi Arabia 32.6 20 4 7 39.1 44.6 12 2.6 25 3 55,760 83 931 28 24 73 76 4.8 5.2 9 <0.1 <0.1 123 94 64 62Syria 18.3 22 6 -21 26.6 34.0 17 2.9 37 4 — 58 393 54 38 64 77 3.8 5.1 40 — — 50 51 41 47Turkey 80.9 17 5 4 89.7 94.8 10 2.1 24 8 23,990 74 391 74 47 75 81 13.3 11.2 25 — — 104 101 101 88United Arab Emirates 9.4 10 2 9 11.1 13.2 6 1.8 14 1 72,850 86 25,067 28 24 76 79 1.1 1.2 28 — — — — — —Yemen 28.3 32 7 -1 36.8 48.3 45 4.1 41 3 2,490 35 2,268 34 29 63 66 6.0 8.3 <0.1 <0.1 57 40 14 6











Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Page 11 of 16



Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016
















EUROPE 745 11 11 2 751 736 4 1.6 16 18 33,677 74 269 70 56 75 81 78 74 15 — — 111 111 64 78EUROPEAN UNION 511 10 10 3 519 515 4 1.6 15 19 39,480 75 472 71 59 78 83 55 51 11 — — 115 115 61 75NORTHERN EUROPE 104 12 9 5 112 121 4 1.8 18 18 44,333 81 529 81 78 79 83 12 13 12 — — 126 132 54 72Channel Islands 0.2 10 8 8 0.2 0.2 8.0 1.5 16 17 — 32 4,796 — — 80 85 0.02 0.02 8 — — — — — —Denmark 5.8 11 9 6 6.1 6.3 3.1 1.8 17 19 51,040 88 239 — — 79 83 0.7 0.7 3 — — 128 133 70 96Estonia 1.3 11 12 1 1.1 2.5 1.6 16 19 28,920 68 201 63 58 73 82 0.1 0.1 13 — — 116 115 55 85Finland 5.5 10 10 3 5.8 5.9 1.9 1.6 16 21 43,400 84 247 77 75 78 84 0.6 0.6 6 — — 143 156 79 96Iceland 0.3 12 7 12 0.4 0.4 1.7 1.8 20 14 52,490 94 248 — — 81 84 0.04 0.04 8 — — 116 121 60 103Ireland 4.8 14 7 1 5.3 5.9 3.3 1.9 21 13 56,870 64 454 65 61 79 84 0.5 0.6 9 <0.1 <0.1 126 129 80 88Latvia 1.9 11 14 -5 1.7 1.5 4.1 1.7 15 20 26,090 68 157 68 56 70 79 0.2 0.1 18 0.4 0.3 120 119 55 79Lithuania 2.8 11 14 -10 2.7 2.4 4.5 1.7 15 19 28,840 67 119 63 50 69 80 0.3 0.3 14 <0.1 <0.1 110 106 56 82Norway 5.3 11 8 5 5.9 6.7 2.2 1.7 18 17 62,510 81 657 88 82 81 84 0.7 0.8 5 — — 115 111 63 91Sweden 10.1 12 9 12 11.3 12.4 2.5 1.9 18 20 50,000 86 390 75 65 81 84 1.2 1.4 4 <0.1 <0.1 132 150 50 76United Kingdom 66.2 12 9 5 71.7 77.7 3.9 1.8 18 18 42,100 83 1,062 84 84 79 82 7.8 8.4 14 — — 125 130 49 64






Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

PercentUrban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016
















EUROPE 745 11 11 2 751 736 4 1.6 16 18 33,677 74 269 70 56 75 81 78 74 15 — — 111 111 64 78EUROPEAN UNION 511 10 10 3 519 515 4 1.6 15 19 39,480 75 472 71 59 78 83 55 51 11 — — 115 115 61 75NORTHERN EUROPE 104 12 9 5 112 121 4 1.8 18 18 44,333 81 529 81 78 79 83 12 13 12 — — 126 132 54 72Channel Islands 0.2 10 8 8 0.2 0.2 8.0 1.5 16 17 — 32 4,796 — — 80 85 0.02 0.02 8 — — — — — —Denmark 5.8 11 9 6 6.1 6.3 3.1 1.8 17 19 51,040 88 239 — — 79 83 0.7 0.7 3 — — 128 133 70 96Estonia 1.3 11 12 1 1.3 1.1 2.5 1.6 16 19 28,920 68 201 63 58 73 82 0.1 0.1 — — 116 115 55 85Finland 5.5 10 10 3 5.8 5.9 1.9 1.6 16 21 43,400 84 247 77 75 78 84 0.6 0.6 6 — — 143 156 79 96Iceland 0.3 12 7 12 0.4 0.4 1.7 1.8 20 14 52,490 94 248 — — 81 84 0.04 0.04 8 — — 116 121 60 103Ireland 4.8 14 7 1 5.3 5.9 3.3 1.9 21 13 56,870 64 454 65 61 79 84 0.5 0.6 9 <0.1 <0.1 126 129 80 88Latvia 1.9 11 14 -5 1.7 1.5 4.1 1.7 15 20 26,090 68 157 68 56 70 79 0.2 0.1 18 0.4 0.3 120 119 55 79Lithuania 2.8 11 14 -10 2.7 2.4 4.5 1.7 15 19 28,840 67 119 63 50 69 80 0.3 0.3 14 <0.1 <0.1 110 106 56 82Norway 5.3 11 8 5 5.9 6.7 2.2 1.7 18 17 62,510 81 657 88 82 81 84 0.7 0.8 5 — — 115 111 63 91Sweden 10.1 12 9 12 11.3 12.4 2.5 1.9 18 20 50,000 86 390 75 65 81 84 1.2 1.4 4 <0.1 <0.1 132 150 50 76United Kingdom 66.2 12 9 5 71.7 77.7 3.9 1.8 18 18 42,100 83 1,062 84 84 79 82 7.8 8.4 14 — — 125 130 49 64






Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc 2016

PercentUrban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Page 12 of 16



Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



















SOUTHERN EUROPE 153 9 10 1 150 141 4 1.4 14 20 32,803 70 538 63 41 79 84 15 12 8 0.1 0.1 112 110 66 82Albania 2.9 11 7 -3 2.9 2.6 8.7 1.6 18 13 11,880 56 471 69 11 77 80 0.5 0.3 19 <0.1 <0.1 99 93 49 68Andorra 0.08 9 4 -4 0.08 0.07 3.4 1.2 14 14 — 85 2,857 — — — — — — — — — — — — —Bosnia-Herzegovina 3.5 9 11 -4 3.3 2.7 5 1.2 14 16 12,140 40 346 46 12 74 79 0.4 0.3 8 — — — — — —Croatia 4.1 9 12 -5 3.8 3.4 4.1 1.4 15 19 22,880 59 504 — — 74 80 0.5 0.3 10 — — 96 101 59 80Greece 10.7 8 11 -4 10.4 9.1 4.0 1.3 14 21 26,900 78 412 76 46 78 84 1.1 0.8 8 — — 109 103 114 114Italy 60.5 8 10 2 60.0 57.5 3.0 1.3 14 22 38,230 69 899 63 41 81 85 5.8 5.2 5 <0.1 <0.1 104 102 53 72Kosovog 1.8 13 5 2 1.8 1.8 12 1.8 24 8 10,200 38 — 66 14 74 79 — — 15 — — — — — —Macedoniah 2.1 11 10 1 2.1 1.9 12 1.5 17 13 14,480 57 507 40 13 73 77 0.3 0.2 12 <0.1 <0.1 80 78 38 47Malta 0.4 10 8 10 0.4 0.4 5.7 1.5 14 19 35,720 96 4,459 86 46 80 84 0.05 0.04 11 <0.1 <0.1 92 98 40 55Montenegro 0.6 12 10 2 0.6 0.7 3.5 1.6 18 14 17,090 64 6,873 23 15 74 79 0.1 0.1 12 <0.1 0.2 90 90 49 62Portugal 10.3 8 11 -1 10.0 9.2 3.2 1.4 14 21 29,990 64 906 74 — 78 83 1.1 0.8 8 — — 121 117 58 66San Marino 0.03 8 8 5 0.03 2.3 1.4 15 19 — 94 3,000 — — 85 89 — — — — — 93 96 50 70Serbia 7.0 9 14 -0 6.4 5.3 5.4 1.5 14 19 13,680 60 269 58 18 73 78 0.9 0.6 16 <0.1 <0.1 96 97 50 67Slovenia 2.1 10 10 0 2.0 1.9 1.8 1.6 15 17 32,360 50 1,140 79 63 78 84 0.2 0.2 5 <0.1 <0.1 111 111 68 98Spain 46.6 9 9 2 46.1 44.4 2.6 1.3 15 19 36,340 80 380 66 62 80 86 4.3 3.7 8 0.2 <0.1 130 130 82 97



Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc 2016

PercentUrban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



















SOUTHERN EUROPE 153 9 10 1 150 141 4 1.4 14 20 32,803 70 538 63 41 79 84 15 12 8 0.1 0.1 112 110 66 82Albania 2.9 11 7 -3 2.9 2.6 8.7 1.6 18 13 11,880 56 471 69 11 77 80 0.5 0.3 19 <0.1 <0.1 99 93 49 68Andorra 0.08 9 4 -4 0.08 0.07 3.4 1.2 14 14 — 85 2,857 — — — — — — — — — — — — —Bosnia-Herzegovina 3.5 9 11 -4 3.3 2.7 5 1.2 14 16 12,140 40 346 46 12 74 79 0.4 0.3 8 — — — — — —Croatia 4.1 9 12 -5 3.8 3.4 4.1 1.4 15 19 22,880 59 504 — — 74 80 0.5 0.3 10 — — 96 101 59 80Greece 10.7 8 11 -4 10.4 9.1 4.0 1.3 14 21 26,900 78 412 76 46 78 84 1.1 0.8 8 — — 109 103 114 114Italy 60.5 8 10 2 60.0 57.5 3.0 1.3 14 22 38,230 69 899 63 41 81 85 5.8 5.2 5 <0.1 <0.1 104 102 53 72Kosovog 1.8 13 5 2 1.8 1.8 12 1.8 24 8 10,200 38 — 66 14 74 79 — — 15 — — — — — —Macedoniah 2.1 11 10 1 2.1 1.9 12 1.5 17 13 14,480 57 507 40 13 73 77 0.3 0.2 12 <0.1 <0.1 80 78 38 47Malta 0.4 10 8 10 0.4 0.4 5.7 1.5 14 19 35,720 96 4,459 86 46 80 84 0.05 0.04 11 <0.1 <0.1 92 98 40 55Montenegro 0.6 12 10 2 0.6 0.7 3.5 1.6 18 14 17,090 64 6,873 23 15 74 79 0.1 0.1 12 <0.1 0.2 90 90 49 62Portugal 10.3 8 11 -1 10.0 9.2 3.2 1.4 14 21 29,990 64 906 74 — 78 83 1.1 0.8 8 — — 121 117 58 66San Marino 0.03 8 8 5 0.03 0.03 2.3 1.4 15 19 — 94 3,000 — — 85 89 — — — — 93 96 50 70Serbia 7.0 9 14 -0 6.4 5.3 5.4 1.5 14 19 13,680 60 269 58 18 73 78 0.9 0.6 16 <0.1 <0.1 96 97 50 67Slovenia 2.1 10 10 0 2.0 1.9 1.8 1.6 15 17 32,360 50 1,140 79 63 78 84 0.2 0.2 5 <0.1 <0.1 111 111 68 98Spain 46.6 9 9 2 46.1 44.4 2.6 1.3 15 19 36,340 80 380 66 62 80 86 4.3 3.7 8 0.2 <0.1 130 130 82 97



Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc 2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Page 13 of 16



Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc

2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc 2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Birthsper 1,000

Population

Deathsper 1,000

Population


1,000


Ratea

Total Fertility

Rateb


GNI per Capita

PPPc

2016Percent Urban









mid-2030 (millions)

mid-2050 (millions)

Ages <15

Ages 65+

All Methods


mid-2017 (millions)

mid-2050 (millions)

Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016






















Births per 1,000

Population

Deaths per 1,000

Population


1,000

mid-2030 (millions)

mid-2050 (millions)

Infant Mortality

Ratea


Ages <15

Ages 65+

GNI per Capita

PPPc 2016

Percent Urban



All Methods

Modern Methods


mid-2050 (millions)


Males2016

Females2016

Males 2009/2016

Females 2009/2016

Males 2009/2016

Females 2009/2016



Contraceptiond






Page 14 of 16

This question paper and any materials associated with this examination (including answer booklets, cover sheets, rough note paper, or information sheets) remain the property of the Office of Tasmanian Assessment, Standards and Certification.

Page 16 of 16

place your candidate label here - department of education · 2019. 3. 4. · 0.6 20 5 6 0.7 0.9 31...

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