Population Pyramid Problem A population pyramid is used to provide a visual impression of the age and sex composition of a country’s population. A country’s population pyramid by age and sex cohorts is provided in the tables below. In order to construct your own population pyramids for the four countries provided, follow these instructions: Calculate the TOTAL Population (males and females combined) Calculate percentage of TOTAL Population for each sex and age cohort Use the grids provided to construct a population pyramid for each country Refer to the pyramids you produce to answer the following questions 1. Classify the population growth rate for each of the 4 countries graphed: a. India _______________________________________ b. Japan _______________________________________ c. Kenya _______________________________________ d. United States _______________________________________ 2. What is the total percentage of males and females in each of the 4 countries: Males Females a. India _____ ______ b. Japan _____ ______ c. Kenya _____ ______ d. United States _____ ______ 3. What country has the lowest percentage of female population? Why? 4. What is the total percentage of dependents in the population of each country? a. India _____________ b. Japan _____________ c. Kenya _____________ d. United States _____________ 5. Which country has the highest percentage of young dependents? What problems does this create for this country? 6. Which country has the highest percentage of elderly dependents? What problems does this create for this country? Country/Year Population Population Population Age both sexes male female ---------------- --------------- -------------- -------------- -----India/2008 Total, all ages 1,147,995,898 591,681,864 556,314,034 0- 4 123,363,700 64,788,510 58,575,190 5- 9 121,036,567 63,358,494 57,678,073 10- 14 117,006,526 61,091,483 55,915,043 15- 19 108,646,964 56,593,585 52,053,379 20- 24 102,476,086 53,191,466 49,284,620 25- 29 96,059,863 49,568,759 46,491,104 30- 34 89,338,672 45,860,781 43,477,891 35- 39 81,501,907 41,686,649 39,815,258 40- 44 69,753,448 35,733,520 34,019,928 45- 49 58,820,730 30,171,581 28,649,149 50- 54 48,853,221 25,041,520 23,811,701 55- 59 39,744,574 20,278,259 19,466,315 60- 64 31,830,119 16,031,461 15,798,658 65- 69 24,375,626 12,025,234 12,350,392 70- 74 17,163,732 8,229,902 8,933,830 75- 79 10,548,461 4,867,548 5,680,913 80+ 7,475,702 3,163,112 4,312,590 Sex ratio 106.4 110.6 109.8 109.3 108.7 107.9 106.6 105.5 104.7 105.0 105.3 105.2 104.2 101.5 97.4 92.1 85.7 73.3 Japan/2008 Total, all ages 0- 4 5- 9 10- 14 15- 19 20- 24 25- 29 30- 34 35- 39 40- 44 45- 49 50- 54 55- 59 60- 64 65- 69 70- 74 75- 79 80+ 127,288,419 5,363,680 5,953,420 6,069,968 6,148,860 6,980,191 7,790,091 9,282,921 9,691,965 8,310,464 7,681,599 7,823,404 9,935,093 8,762,530 7,843,139 6,804,504 5,574,828 7,271,762 62,083,345 2,754,167 3,056,536 3,115,736 3,152,487 3,571,666 3,982,523 4,743,183 4,935,802 4,194,790 3,856,486 3,904,950 4,906,429 4,264,745 3,726,488 3,110,848 2,394,868 2,411,641 65,205,074 2,609,513 2,896,884 2,954,232 2,996,373 3,408,525 3,807,568 4,539,738 4,756,163 4,115,674 3,825,113 3,918,454 5,028,664 4,497,785 4,116,651 3,693,656 3,179,960 4,860,121 95.2 105.5 105.5 105.5 105.2 104.8 104.6 104.5 103.8 101.9 100.8 99.7 97.6 94.8 90.5 84.2 75.3 49.6 Kenya/2008 Total, all ages 0- 4 5- 9 10- 14 15- 19 20- 24 25- 29 30- 34 35- 39 40- 44 45- 49 50- 54 55- 59 60- 64 65- 69 70- 74 75- 79 80+ 37,953,838 6,525,155 5,253,032 4,240,679 4,059,348 3,884,799 3,453,614 2,574,467 1,889,075 1,555,020 1,252,958 973,916 749,750 540,285 401,153 285,630 179,461 135,496 19,022,143 3,286,682 2,645,448 2,133,659 2,044,374 1,957,524 1,749,070 1,334,050 981,727 784,254 605,017 452,682 342,732 247,038 183,370 131,140 82,237 61,139 18,931,695 3,238,473 2,607,584 2,107,020 2,014,974 1,927,275 1,704,544 1,240,417 907,348 770,766 647,941 521,234 407,018 293,247 217,783 154,490 97,224 74,357 100.5 101.5 101.5 101.3 101.5 101.6 102.6 107.5 108.2 101.7 93.4 86.8 84.2 84.2 84.2 84.9 84.6 82.2 United States/2008 Total, all ages 303,824,646 149,346,264 154,478,382 0- 4 21,009,914 10,734,313 10,275,601 5- 9 20,155,574 10,298,245 9,857,329 10- 14 19,981,265 10,224,550 9,756,715 15- 19 21,728,978 11,146,876 10,582,102 20- 24 21,186,421 10,857,331 10,329,090 25- 29 21,161,376 10,760,554 10,400,822 30- 34 19,531,264 9,871,724 9,659,540 35- 39 20,909,399 10,489,404 10,419,995 40- 44 21,428,750 10,664,131 10,764,619 45- 49 22,858,209 11,285,615 11,572,594 50- 54 21,463,268 10,511,655 10,951,613 55- 59 18,580,896 8,998,550 9,582,346 60- 64 15,139,163 7,240,061 7,899,102 65- 69 11,321,863 5,280,896 6,040,967 70- 74 8,732,349 3,933,217 4,799,132 75- 79 7,226,693 3,064,466 4,162,227 80+ 11,409,264 3,984,676 7,424,588 ---------------- --------------- -------------- -------------- -----Source: U.S. Census Bureau, International Data Base. 96.7 104.5 104.5 104.8 105.3 105.1 103.5 102.2 100.7 99.1 97.5 96.0 93.9 91.7 87.4 82.0 73.6 53.7 Males Females 85 80 75 70 65 60 55 50 45 40 35 30 25 20 15 10 5 10 8 6 4 2 0 2 4 6 8 Males 10 8 6 4 2 Females 0 2 4 6 8 10 Males 10 8 6 4 2 Females 0 2 4 6 8 10 Males 10 8 6 4 2 Females 0 2 4 6 8 10