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The Population Division of the Department of Economic and Social Affairs of the

United Nations periodically releases estimates of the current populations of all countries, and also projections of the population sizes in coming years. In 2017, they released the 2017 Revision of World Population Prospects, which includes predictions of populations until the Year 2100.


Table 1 on page 1 in the document includes seven sets of data on current and projected future populations of the world and of six regions. For each of the seven data sets, state what type of equation could be used to model the corresponding data (for example, linear with a positive slope, linear with a negative slope, quadratic curving up, etc). Briefly explain your answers; there is no need to produce specific equations. It might help to use Python to graph the data for each region. Note that the years of the predictions are not equally spaced, so plotting graphs is a good idea.

In [ ]:

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Screen Shot 2019-10-14 at 10.06.24 pm.png

TABLE 1. POPULATION OF THE WORLD AND REGIONS, 2017, 2030, 2050 AND 2100,
ACCORDING TO THE MEDIUM-VARIANT PROJECTION
Population (millions)
Region
2017
2030
2050
2100
World
7 550
8 551
9 772
11 184
Africa
1 256
1 704
2 528
4 468
Asia.
.... .......
4 504
4 947
5 257
4 780
Europe ............."
. . . .
742
739
716
653
Latin America and the Caribbean .
646
718
780
712
Northern America
. .
361
395
435
499
Oceania
41
48
57
72
Source: United Nations, Department of Economic and Social Affairs, Population Division (2017).
World Population Prospects: The 2017 Revision. New York: United Nations.

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