'The Worlds Population Is Increasing\r'

'The World’s Population is increasing, that when non evenly entirely over the homo Aim: To find how the average out railroad line of latitude for the world’s largest cities has changed since 1950. Hypothesis: In the front years, the cities with the highest states will be in HICs because these countries would nominate been the much or less developed, and these countries would hasten also been in the ‘rich sum’. Introduction: As the world continues to develop, populations continue to attach as well. However, the populations of individu all toldy country do not grow at the homogeneous rate.Some populations ar quick increasing, whereas somewhat country’s populations are simply increasing. The point of this investigation was to collect data for the pass by 10 roughly live cities in 1950, 2000 and 2012. after this was done, the data could then be plotted onto a map, and trend lines could be drawn which then entirelyowed us to disc over patterns. Method: 1. Collect data (preferably from the same source) of the top ten biggest cities in 1950, 2000 and 2012. 2. Plot all in all of this data onto a map. Make sure all of the data for each country is plotted in a different color. . Write the rank and the population under each metropolis, and make sure you staff the population to one decimal place. 4. Once all of the data has been plotted, using the same color for each year, plot a line of best outburst between all of the points. Your line should be horizontal, and completely straight. 5. After you have plotted 3 lines, visualize all patterns, and record them. Analysis: After analyzing the data, some patterns were discovered. In 1950, the top ten most populated cities were as an average, in the rich matrimony. There were wo cities in North America, and 4 cities in Europe. Most of these cities were in High Income Countries. The most populated city with 12. 5 million people was New York City. In 2000, most of the cities were in the ‘poor southward’. There were solely 2 cities (both in the USA) that weren’t in the south. every(prenominal) of the other cities were in LICs and MICs. In 2012, New York (which is the quaternary most populated city) is the only city in the North. All of the other cities are in India, and vitamin E Asia. However, Mexico City, Sao Paulo and New York city are the only exceptions.Most of these cities are in LIC and MICs. Conclusion: After completing our investigation, it displace be concluded that in 1950, almost all of the cities were in the rich north and were in MICs and HICs. Buenos Aires, Calcutta, impress and Tokyo were the only cities that were in the ‘poor south’. In this period, these countries were beginning to start developing. In 2000, the average line where most of the cities were was a little north of Cuba. Most of the cities could be found in einsteinium Asia and South America, most of them in MICs and LIC’s.I n 2012 the average line then moved north again, bisecting South Carolina. 7 of the 10 cities were in the Eastern Hemisphere in the poor South. Only Mexico City, Sao Paulo and New York City were in the eastern hemisphere. Most of the cities with the highest populations are in MIC’s or LIC’s. This could be because many people play in these cities, for example in Tokyo, however a more realistic answer would have to do with the rate of development. These cities that these countries are in are rapidly developing, and more and more people are migrating into the city to work.Evaluation: We could have altered this investigation to make our data, and maps more organized and presentable. For example we should have had all of the populations on one point, with the year and the population next to it. This would have saved a lot of space on our map, and do it more organized. All of our data should have been collected from the same website. All of the data were only estimates. Th erefore, we should have used the same people who made the estimates for 1950 and 2000, however it was very hard to find this.\r\n'