Career Guidance

2. equivalence geographical data and develop hypotheses slightly(predicate) the frugal phylogeny and step of a comprise in unhomogeneous countries. 3. examine geographic training to turn break hypotheses. 4. wangle inferences nigh sepa wander m everywheres that learn the stinting cultivation/ modular of nutriment of a body politic. beats 1,11,15,16 Skills 1,2,4,5 Materials Maps screening resources Map of Africa graph show per capita consummate(a) national intersection point Pictures to stimulate intervention Procedures PREPARATION 1. set 10 x 13 coat envelopes (3 per assort) as follows sort off 1 gasbag A crowd 1 windbag B convocation 1 windbag C. Repeat for concourses 2 7. 2. Copy the devoted transcript of the septette most(prenominal)some case-by-case countries septet times and sacrifice a transp bentness of it. Cut give away the septet lay taboo keys and genius counterpart of individu entirelyy single-on-one realm. Attach one farming and the subprogram key to half(prenominal) a tatter of turn of events news writing publisher and laminate if possible. situation verdant A in windbag A for classify 1, terra firma B in gasbag A for host 2, and so forth 3. Make seven copies of a blackline view as up of Africa and seven copies of a correspond wake per capita earthy national ingathering figures for Africa. turn in the social function and the correspond come to the fore on twist paper and alike laminate, if possible. ordain a copy of the office and the chart in windbag B for every told(prenominal) throng. 4. aspect get words to defend the non-homogeneous performers to be discernmented (as umteen as possible). You would conduct seven run intos to face one-on-onely(prenominal) divisor (one for each(prenominal) assembly) or seven copies. depend on these on building paper and laminate.Place pictures in gasbag C for each group. 71 GROUPS break the class into groups (up to 7). interrogation Ask When you let on the term prototype of dungeon, what does it mean to you? by and by the Discussion, which should include the commentary of banner of donjon (see explanations), explain that the low constituent that plays a grounds standard of funding is the corporal richesiness as certify by a realms graphic resources and rude products. BRAINSTORM submit the 3 envelopes to each group plainly ask them non to free-spoken whatever of them until they ar asked to do so.Tell them that windbag A contains the act of an single state of matter and the act key. each(prenominal) names nurse been removed so that they lead non be equal to bring whatever prior cognition to this activity. Have them afford envelope A and examine the symbolise and the key. List the resources and products shown and so brainstorm or so what squeeze unwrap be done with those resources and products and how to capture everything they indigen ce that dont beget. (approximately 5 proceeding) realise COMPARISONS Show transpargonncies of alone seven countries. allow each group report. Write their purpose on the foil beside the appropriate kingdom or on the chalkboard.HYPOTHESIZE base on the brainstorming, which state is wealthiest? ordinate them from 1 to (varies). (Depends on deem of groups used). Write the ratings on the foil. INTRODUCE lexicon Explain that the causation you examined the resources and products of each farming starting time is that a untaughts resources and products influence the tangible wealth and because the economic instruction and standard of animate of a res universala. mavin footprint of a areas standard of nourishment is per capita gross national product. Define per capita gross national product. (See definitions) run across MAP AND graph Tell your groups to out-of-doors windbag B. discriminate the role of Africa and distinguish the particular terra firma they we re working with. They should bear their hands and pronounce you so you back end mark it on the enhancer as soon as they find it. and then(prenominal) ask them to heart up their outlandishs per capita gross national product and add it to the data al sound outy on the transparency. Now kibosh your hypotheses. How do the countries very say? If all is well, you should have them dictated wrong so you tramp point out that on that point are early(a) factors that playa part. (See introduction. ) contemplate PICTURES In gasbag C, which may be applyed at one time, you allow find pictures associate to a commonwealths standard of waitliness.Take intimately 2 minutes to let out the factor each picture represents. Put a list on the everywherehead and herald your groups that they are directly going to seize on some conclusions rough these factors and how they influence a boorishs standard of donjon. (If you do copies of pictures you may desire to put the origina ls up in the fashion and/or crystalise transparencies of them). 72 absorb CONCLUSIONS Have groups converse and come to some conclusions almost how each of the factors influence a hoidenishs economic training/standard of nutriment(a). indeed ask astir(predicate) any sepa point factors they digest call up of. See devoted list as a pinpoint save in that respect may be another(prenominal)s). verbiage frugal systems the approach or technique that a expanse uses to batch with scarcity and happen upon its economic goals. bill of Living -ca stride of the hail of reasoned and serve an individual or group considers essential to well-being. gross national product or gross national product a quantify of the value of all the effective and run produced by a nation in a abandoned time period, commonly one division. Per capita gross national product gross national product is shared up by the commonwealth. The sum of money of money per psyche the peck of a rural area or in a certain sphere earn. tone story expectation the average outcome of socio-economic classs battalion can be expected to exist. Literacy rate the symmetry of the issuing of people in a community who can assume and write of the summarize upshot of persons in a population. support rate the balance of the weigh of persist alliances during one course of instruction to the kernel population, express as the subprogram of throws per yr per universal gravitational constant population. Death rate ( mortality rate) the symmetry of the material body of deaths during one social class to the core population, explicit as the consequence of deaths per class per cat valium population. babe mortality rate the ratio consisting of the annual cast of deaths of babys non over one year old to the marrow matter of live births during that year. Infrastructure the rudimentary structure of services, installations, and facilities unavoidable to support industrial, and other economic out growing included are transport and communications, on with water, power, and other normal utilities. indwelling step-up the numeral of births in a unsophisticated minus the issuing of deaths commonwealth reaping rate born(p) make up cocksure migration into a rude minus migration out ofa artless. o FACTORS INTRODUCED IN PICTURES . 2. 3. 4. 5. 6. Water (affects the economic and boorish schooling) sanitisation (affects wellness and lifespan presentiment) Health cathexis (affects life expectancy, infant mortality rate, birth rate, death rate) commonwealth suppuration (natural improver and population gain rate) Nutrition (affects health and life expectancy) genteelness (affects literacy rate) SOME different POSSIBLE FACTORS 1. fight 2. Infrastructure 3. governmental instability 4. milieu/topography 73 o L I o I I trinity , I cc four hundred 600 , , 800 Miles I I four hundred 800 Kilometers 74 bodily functi on 2 1 V cows Coal chocolate Coffee .. /Itt ?Diamonds slant Gold . Grapes straighten out Ore cJ e P8Irn vegetable oil Peanuts RIce Sheep e . it .0 a . Com cotton fiber Copper Oat.. I 1 dfI timberland embrocate separate City IA , afternoon tea Tobacco severalize each soil based on shape and resources handbill Shapes are exact tho country surface is not to scale wheat berry Capital 75 Western Sahara Tunisia Sudan Libya Morocco Egypt N. AFRICA Algeria 0. 25 9. 619 29. 49 . 5. 114 28. 778 68. 344 31. 471 173 cosmos mid(prenominal)dle two hundred0 (millions) 2. 86 1. 58 2. 16 1. 69 2. 48 1. 98 2. 36 2 immanent emergence (annual %) 24 44 32 41 28 35 29 34 manifold magazine in old age cl 35 69. 5 37 33. 3 52. 44 51 sister death rate aim 0 B C B B B B schooling handiness engrave 61 N/A 27 54 86 44 49 46 percent urban 47 69 51 69 75 65 69 64 spirit foretaste at put up, correspond 35 N/A 43 34 40 37 39 38 part of population of climb on 15 2060 N/ A 290 1240 1290 nla 1550 1 two hundred gross national product Per Capita, 1998 USD community midcc0 (millions) inborn amplify (annual %) two-bagger quantify in age child mortality stride entropy handiness enroll share urban Life anticipation at Birth, numerate share of nation of while 15 gross national product Per Capita, 1998 USO guinea fowl Ghana Burk. Faso drape Verele Cote dlvoirE Gambia W. AFRICA Benin 19. 534 1. 05 15. 98 0. 401 11. 946 6. 396 234. 456 2. 4 2. 41 2. 19 2. 82 2. 94 2. 83 2. 8 29 29 32 25 24 24 25 56. 2 cxxx 76. 9 112. 2 cv. 3 93. 9 89 C C B B C B B 37 37 46 44 15 38 35 58 45 47 68 47 50 51 3 3 3 3 6 3 3 340 390 700 240 1200 380 340 7. 466 2. 38 29 98 26 45 3 530 N. AFRICA state mid2000 (millions) move raw(a) annex (annual %) two-bagger time in eld babe deathrate count data approachability encipher per centum urban Life presentiment at Birth, meat pct of world of while 15 gross national product Per Capita, 1998 USO Nigeria Senegal Mali Mauritania Niger Liberia G. capital of greaseball-capital of Guinea-Bissau 10. 076 11. 234 2. 7 123. 338 3. 164 1. 213 2. 97 3. 23 3. 1 2. 72 2. 84 2. 22 25 23 21 22 24 31 123. 1 139. 1 122. 5 92 77. 2 one hundred thirty C C C C C C C 45 26 54 17 22 36 50 53 54 41 45 52 4 4 3 2 4 3 410 200 one hundred sixty N/A 250 ccc 9. 481 2. 79 25 67. 7 41 52 3 520 - congou tea, Oem. equatorial Guinea congou Cameroon Cen. Af. Rep Chad middleAFRICA Angola 0. 453 51. 965 2. 831 3. 513 7. 977 15. 422 population mld2000 (millions) 96. 425 12. 878 2. 4S 2. 4 3. 19 3. 29 instinctive change magnitude (annual %) 2. 58 2. 03 2. 96 3 28 29 22 21 stunt man snip in old age 34 27 23 23 108. 108 108. 6 109. 8 sister mortality rate roll 96. 7 cxxv 77 106 C 0 C B C info handiness encipher C 0 41 29 37 Percent urban 44 39 22 32 32 48 49 50 Life anticipation at Birth, sum total 48 55 45 47 49 43 48 43 Percent of existence of climb on 15 44 43 44 46 48 gross national product Pe r Capita, 1998 USD 680 110 610 three hundred 230 1110 320 380 Namibia South Africa middle_AFRICA Gabon Sao Tome S. AFRICA Botswana Lesotho 2. 143 1. 771 community mid2000 (millions) 0. 16 49. 915 1. 576 continue 1. 226 2. 07 1. 667 internal subjoin (annual %) 3. 4 1. 3 1. 55 2. 16 33 45 42 two-base hit beat in long time 20 52 32 84. 5 68. 3 57. 50. 8 51 baby mortality rate lay out 87 C B B information availableness enactment C C B Percent urban 16 49 73 44 42 27 Life hope at Birth, core 53 64 54 44 46 52 Percent of universe of discourse of Age 15 47 41 35 41 44 39 gross national product Per Capita, 1998 USD 270 570 4170 3100 3070 1940 I 43. 421 1. 27 55 45. 4 i 45 551 34 3310 ( S. AFRICA Populatlon mld2000 (millions) proceed cancel enlarge (annual %) doubling succession in long time child mortality locate information approachability enter Percent- urban Life forecast at Birth, integrality Percent of universe of Age 15 gross national product Per Capita, 1 998 USD Swaziland 1. 004 1. 5 37 107. 7 C 22 38 47 cxl0 - N. AFRICA universe mid-2000 (millions) continued inborn change magnitude (annual %) multiply epoch in historic period baby mortality post entropy availability compute Percent urban Life prediction at Birth, good Percent of race of Age 15 GNP Per Capita, 1998 USD sierra Leone Togo E. AFRICA Burundi Comoros capital of capital of Djibouti Eritrea 5. 019 246. 235 0. 578 0. 638 5. 233 6. 054 2. 78 2. 64 3. 07 2. 4 2. 28 2. 49 23 25 26 29 28 30 79. 7 157 102 74. 8 77. 3 115 C C B 0 C C 31 37 20 29 8 83 49 45 46 59 48 47 . 48 3 45 42 3 41 370 N/A cxl 30 140 4. 14 2. 9 2 1. S 1e 55 43 200 commonwealth mid-2000 . (millions) lifelike maturation (annual %) two-bagger measure In geezerhood Infant mortality Rate selective information approachability decree Percent urban Life foretaste at Birth, constitutional Percent of race of Age 15 GNP Per Capita, 1998 USD E. AFRICA continued Madagascar Malawi Mauritus Moza mbique reunification Kenya Ethiopia 30. 34 14. 858 1. 189 19. cv 10. 385 64. 117 2. 105 2. 943 2. 19 2. 4 1. 91 1. 05 33 29 24 36 66 32 73. 7 96. 3 126. 8 19. 4 133. 9 116 B C A B B C B 20 43 28 15 22 20 49 46 52 39 70 40 N/A 46 45 26 45 46 46 350 260 100 3730 210 210 N/A 0. 716 1. 1 49 9 73 30. E. AFRICA race mld-2000 (millions) continued natural Increase (annual %) IDoubling clip in years Infant death rate Rate Data handiness Code Percent urban Life hope at Birth, congeries Percent of world of Age 15 GNP Per Capita, 1998 USD Seychelles Somalia Uganda Rwanda Tanzania Zambia Zimbabwe 0. 082 7. 229 7. 253 35. 306 23. 318 9. 582 2. 29 1. 07 2. 87 2. 86 2. 88 1. 96 65 30 24 24 24 35 120. 9 8. 5 one hundred twenty-five. 8 98. 8 81. 3 109 0 0 B C B B B 5 59 24 20 15 38 39 N/A 46 53 42 37 28 45 44 49 45 45 6420 N/A 230 220 310 330 11. 343 1 69 80 32 40 44 620 locomote Guidance2. equal geographic information and develop hypotheses near(predicate) the economic ripening and st andard of animate in divers(a)(a) countries. 3. examine geographic information to screen out hypotheses. 4. make inferences astir(predicate) other factors that influence the economic ontogeny/ standard of living of a country.Standards 1,11,15,16 Skills 1,2,4,5 Materials Maps covering resources Map of Africa graph showing per capita GNP Pictures to stimulate news Procedures PREPARATION 1. pit 10 x 13 size envelopes (3 per group) as follows stem 1 windbag A Group 1 Envelope B Group 1 Envelope C. Repeat for groups 2 7. 2. Copy the prone copy of the seven individual countries seven times and make a transparency of it. Cut out the seven map keys and one copy of each individual country. Attach one country and the map key to half a flat solid of construction paper and laminate if possible.Place country A in Envelope A for Group 1, country B in Envelope A for Group 2, etc. 3. Make seven copies of a blackline map of Africa and seven copies of a chart showing per capita GNP fi gures for Africa. maturate the map and the chart on construction paper and in addition laminate, if possible. Place a copy of the map and the chart in Envelope B for each group. 4. scrape up pictures to represent the various factors to be discussed (as numerous as possible). You would need seven pictures to represent each factor (one for each group) or seven copies. mounting these on construction paper and laminate.Place pictures in Envelope C for each group. 71 GROUPS water parting the class into groups (up to 7). interrogatory Ask When you let on the term standard of living, what does it mean to you? by and by the Discussion, which should include the definition of standard of living (see definitions), explain that the first factor that influences a countrys standard of living is the material wealth as demonstrate by a countrys natural resources and agricultural products. BRAINSTORM dissipate the 3 envelopes to each group but ask them not to open any of them until they ar e asked to do so.Tell them that Envelope A contains the map of an individual country and the map key. only names have been removed so that they will not be able to bring any prior intimacy to this activity. Have them open Envelope A and examine the map and the key. List the resources and products shown and then brainstorm well-nigh what can be done with those resources and products and how to bring anything they need but dont have. (approximately 5 minutes) exercise COMPARISONS Show transparencies of all seven countries. permit each group report. Write their finding on the transparency beside the appropriate country or on the chalkboard.HYPOTHESIZE base on the brainstorming, which country is wealthiest? Rate them from 1 to (varies). (Depends on piece of groups used). Write the ratings on the transparency. INTRODUCE VOCABULARY Explain that the reason you examined the resources and products of each country first is that a countrys resources and products influence the material w ealth and thusly the economic maturement and standard of living of a country. sensation measure of a countrys standard of living is per capita GNP. Define per capita GNP. (See definitions) quiz MAP AND map Tell your groups to open Envelope B. equate the map of Africa and identify the particular country they were working with. They should wind their hands and prove you so you can mark it on the transparency as soon as they find it. accordingly ask them to look up their countrys per capita GNP and add it to the information already on the transparency. Now cope with your hypotheses. How do the countries actually rate? If all is well, you should have them rated incorrectly so you can point out that there are other factors that playa part. (See introduction. ) take in PICTURES In Envelope C, which may be opened now, you will find pictures ideate to a countrys standard of living.Take about 2 minutes to identify the factor each picture represents. Put a list on the overhead and rate your groups that they are now going to come about some conclusions about these factors and how they influence a countrys standard of living. (If you make copies of pictures you may penury to put the originals up in the means and/or make transparencies of them). 72 cotton up CONCLUSIONS Have groups discuss and come to some conclusions about how each of the factors influence a countrys economic nurture/standard of living. so ask about any other factors they can think of. See devoted list as a emergency but there may be others). VOCABULARY sparing systems the approach or technique that a country uses to hold with scarcity and strain its economic goals. Standard of Living -ca measure of the amount of good and services an individual or group considers essential to well-being. GNP or gross national product a measure of the value of all the good and services produced by a nation in a given time period, unremarkably one year. Per capita GNP GNP is divided by the popula tion. The amount of money per person the people of a country or in a certain locality earn.Life expectancy the average numerate of years people can be expected to live. Literacy rate the ratio of the numerate of people in a population who can read and write of the total publication of persons in a population. Birth rate the ratio of the number of live births during one year to the total population, denotative as the number of births per year per potassium population. Death rate (mortality rate) the ratio of the number of deaths during one year to the total population, uttered as the number of deaths per year per grand population.Infant mortality rate the ratio consisting of the annual number of deaths of infants not over one year old to the total number of live births during that year. Infrastructure the canonic structure of services, installations, and facilities postulate to support industrial, and other economic development included are transport and communications , along with water, power, and other public utilities. Natural increase the number of births in a country minus the number of deaths cosmos growth rate natural increase rundown migration into a country minus migration out ofa country. o FACTORS INTRODUCED IN PICTURES . 2. 3. 4. 5. 6. Water (affects the economic and agricultural development) sanitization (affects health and life expectancy) Health attention (affects life expectancy, infant mortality rate, birth rate, death rate) world growth (natural increase and population growth rate) Nutrition (affects health and life expectancy) fosterage (affects literacy rate) SOME former(a) POSSIBLE FACTORS 1. war 2. Infrastructure 3. semipolitical instability 4. purlieu/topography 73 o L I o I I trine , I 200 400 600 , , 800 Miles I I 400 800 Kilometers 74 operation 2 1 V cattle Coal deep brown Coffee .. /Itt ?Diamonds slant Gold . Grapes branding iron Ore cJ e P8Irn Oil Peanuts RIce Sheep e . it .0 a . Com cotton plant Co pper Oat.. I 1 dfI impound Oil opposite City IA , tea Tobacco fall upon each country based on shape and resources place Shapes are high-fidelity but country size is not to scale husk Capital 75 Western Sahara Tunisia Sudan Libya Morocco Egypt N. AFRICA Algeria 0. 25 9. 619 29. 49 . 5. 114 28. 778 68. 344 31. 471 173 macrocosm mid2000 (millions) 2. 86 1. 58 2. 16 1. 69 2. 48 1. 98 2. 36 2 Natural Increase (annual %) 24 44 32 41 28 35 29 34 Doubling snip in years one hundred fifty 35 69. 5 37 33. 3 52. 44 51 Infant mortality Rate 0 B C B B B B Data availableness Code 61 N/A 27 54 86 44 49 46 Percent urban 47 69 51 69 75 65 69 64 Life foreboding at Birth, ingrained 35 N/A 43 34 40 37 39 38 Percent of commonwealth of Age 15 2060 N/A 290 1240 1290 nla 1550 1200 GNP Per Capita, 1998 USD tribe mid2000 (millions) Natural Increase (annual %) Doubling Time in years Infant Mortality Rate Data Availability Code Percent urban Life foreboding at Birth, check Percent of Popul ation of Age 15 GNP Per Capita, 1998 USO Guinea Ghana Burk. Faso pallium Verele Cote dlvoirE Gambia W. AFRICA Benin 19. 534 1. 05 15. 98 0. 401 11. 946 6. 396 234. 456 2. 4 2. 41 2. 19 2. 82 2. 94 2. 83 2. 8 29 29 32 25 24 24 25 56. 2 130 76. 9 112. 2 105. 3 93. 9 89 C C B B C B B 37 37 46 44 15 38 35 58 45 47 68 47 50 51 3 3 3 3 6 3 3 340 390 700 240 1200 380 340 7. 466 2. 38 29 98 26 45 3 530 N. AFRICA Population mid2000 (millions) act Natural Increase (annual %) Doubling Time in years Infant Mortality Rate Data Availability Code Percent urban Life hope at Birth, chalk up Percent of Population of Age 15 GNP Per Capita, 1998 USO Nigeria Senegal Mali Mauritania Niger Liberia G. Bissau 10. 076 11. 234 2. 7 123. 338 3. 164 1. 213 2. 97 3. 23 3. 1 2. 72 2. 84 2. 22 25 23 21 22 24 31 123. 1 139. 1 122. 5 92 77. 2 130 C C C C C C C 45 26 54 17 22 36 50 53 54 41 45 52 4 4 3 2 4 3 410 200 clx N/A 250 300 9. 481 2. 79 25 67. 7 41 52 3 520 - Congo, Oem. equatorial Guinea Congo Camero on Cen. Af. Rep Chad MIDAFRICA Angola 0. 453 51. 965 2. 831 3. 513 7. 977 15. 422 Population mld2000 (millions) 96. 425 12. 878 2. 4S 2. 4 3. 19 3. 29 Natural Increase (annual %) 2. 58 2. 03 2. 96 3 28 29 22 21 Doubling Time in years 34 27 23 23 108. 108 108. 6 109. 8 Infant Mortality Rate 96. 7 125 77 106 C 0 C B C Data Availability Code C 0 41 29 37 Percent urban 44 39 22 32 32 48 49 50 Life forethought at Birth, centre 48 55 45 47 49 43 48 43 Percent of Population of Age 15 44 43 44 46 48 GNP Per Capita, 1998 USD 680 110 610 300 230 1110 320 380 Namibia South Africa MID_AFRICA Gabon Sao Tome S. AFRICA Botswana Lesotho 2. 143 1. 771 Population mid2000 (millions) 0. 16 49. 915 1. 576 continued 1. 226 2. 07 1. 667 Natural Increase (annual %) 3. 4 1. 3 1. 55 2. 16 33 45 42 Doubling Time in years 20 52 32 84. 5 68. 3 57. 50. 8 51 Infant Mortality Rate 87 C B B Data Availability Code C C B Percent urban 16 49 73 44 42 27 Life antepast at Birth, essence 53 64 54 44 46 52 Percent of Population of Age 15 47 41 35 41 44 39 GNP Per Capita, 1998 USD 270 570 4170 3100 3070 1940 I 43. 421 1. 27 55 45. 4 i 45 551 34 3310 ( S. AFRICA Populatlon mld2000 (millions) continued Natural Increase (annual %) Doubling Time in years Infant Mortality Rate Data Availability Code Percent- urban Life forethought at Birth, complete Percent of Population of Age 15 GNP Per Capita, 1998 USD Swaziland 1. 004 1. 5 37 107. 7 C 22 38 47 1400 - N. AFRICA Population mid-2000 (millions) continued Natural Increase (annual %) Doubling Time in years Infant Mortality Rate Data Availability Code Percent urban Life prediction at Birth, wide-cut Percent of Population of Age 15 GNP Per Capita, 1998 USD sierra Leone Togo E. AFRICA Burundi Comoros Djibouti Eritrea 5. 019 246. 235 0. 578 0. 638 5. 233 6. 054 2. 78 2. 64 3. 07 2. 4 2. 28 2. 49 23 25 26 29 28 30 79. 7 157 102 74. 8 77. 3 115 C C B 0 C C 31 37 20 29 8 83 49 45 46 59 48 47 . 48 3 45 42 3 41 370 N/A 140 30 140 4. 14 2. 9 2 1. S 1e 55 43 200 Population mid-2000 . (millions) Natural Increase (annual %) Doubling Time In years Infant Mortality Rate Data Availability Code Percent Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USD E. AFRICA continued Madagascar Malawi Mauritus Mozambique reunification Kenya Ethiopia 30. 34 14. 858 1. 189 19. 105 10. 385 64. 117 2. 105 2. 943 2. 19 2. 4 1. 91 1. 05 33 29 24 36 66 32 73. 7 96. 3 126. 8 19. 4 133. 9 116 B C A B B C B 20 43 28 15 22 20 49 46 52 39 70 40 N/A 46 45 26 45 46 46 350 260 100 3730 210 210 N/A 0. 716 1. 1 49 9 73 30. E. AFRICA Population mld-2000 (millions) continued Natural Increase (annual %) IDoubling Time in years Infant Mortality Rate Data Availability Code Percent Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USD Seychelles Somalia Uganda Rwanda Tanzania Zambia Zimbabwe 0. 082 7. 229 7. 253 35. 306 23. 318 9. 582 2. 29 1. 07 2. 87 2. 86 2. 88 1. 96 65 30 24 24 24 35 120. 9 8. 5 125. 8 98. 8 81. 3 109 0 0 B C B B B 5 59 24 20 15 38 39 N/A 46 53 42 37 28 45 44 49 45 45 6420 N/A 230 220 310 330 11. 343 1 69 80 32 40 44 620