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Human population projections are attempts to extrapolate how human populations will change in the future. [1] These projections are an important input to forecasts of the population's impact on this planet and humanity's future well-being. [2] Models of population growth take trends in human development and apply projections into the future. [3]
Toggle Population Growth Rate subsection. 1.1 Usage. 1.1.1 Examples. 1.2 See also. Toggle the table of contents. Template: Population growth rate. 3 languages.
A population projection, in the field of demography, is an estimate of a future population. It is usually based on current population estimates derived from the most recent census plus a projection of possible changes based on assumptions of future births, deaths, and any migration into or out of the region being studied.
Thus, the figures after the 1960 column show the percentage annual growth for the 1955-60 period; the figures after the 1980 column calculate the same value for 1975–80; and so on. The formulas used for the annual growth rates are the standard ones, used both by the United Nations Statistics Division and by National Census Offices worldwide.
The table below shows annual population growth rate history and projections for various areas, countries, regions and sub-regions from various sources for various time periods. The right-most column shows a projection for the time period shown using the medium fertility variant. Preceding columns show actual history.
The 2022 projections from the United Nations Population Division (chart #1) show that annual world population growth peaked at 2.3% per year in 1963, has since dropped to 0.9% in 2023, equivalent to about 74 million people each year, and could drop even further to minus 0.1% by 2100. [101]
One of the most basic and milestone models of population growth was the logistic model of population growth formulated by Pierre François Verhulst in 1838. The logistic model takes the shape of a sigmoid curve and describes the growth of a population as exponential, followed by a decrease in growth, and bound by a carrying capacity due to ...
P 0 = P(0) is the initial population size, r = the population growth rate, which Ronald Fisher called the Malthusian parameter of population growth in The Genetical Theory of Natural Selection, [2] and Alfred J. Lotka called the intrinsic rate of increase, [3] [4] t = time. The model can also be written in the form of a differential equation: