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Population density (in agriculture: standing stock or plant density) is a measurement of population per unit land area. ... 12 650,834 21,339 55,268 2
Population density (people per km 2) by country. This is a list of countries and dependencies ranked by population density, sorted by inhabitants per square kilometre or square mile. The list includes sovereign states and self-governing dependent territories based upon the ISO standard ISO 3166-1.
Scrope's 1833 map of world population density, possibly the first dasymetric map. The earliest maps using this kind of approach include an 1833 map of world population density by George Julius Poulett Scrope [4] and an 1838 map of population density in Ireland by Henry Drury Harness, although the methods used to create these maps were never documented.
List of cities proper by population density; List of countries and dependencies by population density; Kowloon Walled City – the now-razed extremely dense "fortress city" district in Hong Kong. Begich Towers – a 1956 condo, housing most of the town of Whittier, Alaska.
This is a list of countries showing past and future population density, ranging from 1950 to 2300, as estimated by the 2017 revision of the World Population Prospects database by the United Nations Population Division. The population density equals the number of human inhabitants per square kilometer of land area.
The number density (symbol: n or ρ N) is an intensive quantity used to describe the degree of concentration of countable objects (particles, molecules, phonons, cells, galaxies, etc.) in physical space: three-dimensional volumetric number density, two-dimensional areal number density, or one-dimensional linear number density. Population ...
The physiological density or real population density is the number of people per unit area of arable land. A higher physiological density suggests that the available agricultural land is being used by more and may reach its output limit sooner than a country that has a lower physiological density.
The unobservable density function is thought of as the density according to which a large population is distributed; the data are usually thought of as a random sample from that population. [1] A variety of approaches to density estimation are used, including Parzen windows and a range of data clustering techniques, including vector quantization.