Jump to content

Center of population: Difference between revisions

From Wikipedia, the free encyclopedia
Browse history interactively
← Previous editNext edit →
Content deleted Content added
VisualWikitext
No edit summary
Line 1: Line 1:
[[File:WorldCenterOfPopulation.png|thumb|400px|The point on earth closest to everyone in the world on average is in the north of South Asia, with a mean distance of {{convert|5000|km|sigfig=1|sp=us}}. Its [[antipodes|antipodal point]] is correspondingly the ''farthest'' point from everyone on earth, and is located in the [[Pacific Ocean|South Pacific]] near [[Easter Island]], with a mean distance of {{convert|15000|km|sp=us}}. The data used by this figure is lumped at the country level, and is therefore lacking precision.]]
[[File:WorldCentreOfPopulation.png|thumb|400px|The point on earth closest to everyone in the world on average is in the north of South Asia, with a mean distance of {{convert|5000|km|sigfig=1|sp=us}}. Its [[antipodes|antipodal point]] is correspondingly the ''farthest'' point from everyone on earth, and is located in the [[Pacific Ocean|South Pacific]] near [[Easter Island]], with a mean distance of {{convert|15000|km|sp=us}}. The data used by this figure is lumped at the country level, and is therefore lacking precision.]]


In [[demographics]], the '''center of population''' (or '''population center''') of a region is a geographical point that describes a centerpoint of the region's population. There are several different ways of defining such a "center point", leading to different geographical locations; these are often confused.<ref name="kumler">{{cite book | last1=Kumler | first1=Mark P. | last2=Goodchild | first2=Michael F. | editor-last=Janelle | editor-first=Donald G. | title=Geographical snapshots of North America: commemorating the 27th Congress of the International Geographical Union and Assembly | year=1992 | pages=275–279 | chapter=The population center of Canada – Just north of Toronto?!?}}</ref>
In [[demographics]], the '''centre of population''' (or '''population centre''') of a region is a geographical point that describes a centrepoint of the region's population. There are several different ways of defining such a "centre point", leading to different geographical locations; these are often confused.<ref name="kumler">{{cite book | last1=Kumler | first1=Mark P. | last2=Goodchild | first2=Michael F. | editor-last=Janelle | editor-first=Donald G. | title=Geographical snapshots of North America: commemorating the 27th Congress of the International Geographical Union and Assembly | year=1992 | pages=275–279 | chapter=The population center of Canada – Just north of Toronto?!?}}</ref>


==Definitions==
==Definitions==
Three commonly used (but different) center points are:
Three commonly used (but different) centre points are:
# the ''[[mean]] center'', also known as the ''[[centroid]]'' or ''[[center of gravity]]'';
# the ''[[mean]] centre'', also known as the ''[[centroid]]'' or ''[[centre of gravity]]'';
# the ''[[median]] center'', which is the intersection of the median [[longitude]] and median [[latitude]];
# the ''[[median]] centre'', which is the junction of the median [[longitude]] and median [[latitude]];
# the ''[[geometric median]]'', also known as ''Weber point'', ''Fermat–Weber point'', or ''point of minimum aggregate travel''.
# the ''[[geometric median]]'', also known as ''Weber point'', ''Fermat–Weber point'', or ''point of minimum aggregate travel''.


A further complication is caused by the curved shape of the Earth. Different center points are obtained depending on whether the center is computed in three-dimensional space, or restricted to the curved surface, or computed using a flat [[map projection]].
A further complication is caused by the curved shape of the Earth. Different centre points are obtained depending on whether the centre is computed in three-dimensional space, or restricted to the curved surface, or computed using a flat [[map projection]].


===Mean center===
===Mean centre===
The mean center, or centroid, is the point on which a rigid, weightless map would balance perfectly, if the population members are represented as points of equal mass.
The mean centre, or centroid, is the point on which a rigid, weightless map would balance perfectly, if the population members are represented as points of equal mass.


Mathematically, the centroid is the point to which the population has the smallest possible ''sum of squared distances''. It is easily found by taking the arithmetic mean of each coordinate. If defined in the three-dimensional space, the centroid of points on the Earth's surface is actually inside the Earth. This point could then be projected back to the surface. Alternatively, one could define the centroid directly on a flat map projection; this is, for example, the definition that the [[US Census Bureau]] uses.
Mathematically, the centroid is the point to which the population has the smallest possible ''sum of squared distances''. It is easily found by taking the arithmetic mean of each coordinate. If defined in the three-dimensional space, the centroid of points on the Earth's surface is actually inside the Earth. This point could then be projected back to the surface. Alternatively, one could define the centroid directly on a flat map projection; this is, for example, the definition that the [[US Census Bureau]] uses.


Contrary to a common misconception, the centroid does ''not'' minimize the average distance to the population. That property belongs to the geometric median.
Contrary to a common misconception, the centroid does ''not'' minimise the average distance to the population. That property belongs to the geometric median.


===Median center===
===Median centre===
The median center is the intersection of two perpendicular lines, each of which divides the population into two equal halves.<ref>{{cite document |url=http://www2.census.gov/geo/pdfs/reference/cenpop2010/COP2010_documentation.pdf |title=Centers of Population Computation for the United States, 1950-2010 |date=March 2011 |publisher=Geography Division, U.S. Census Bureau |location=Washington, DC}}</ref> Typically these two lines are chosen to be a [[circle of latitude|parallel]] (a line of [[latitude]]) and a [[meridian (geography)|meridian]] (a line of [[longitude]]). In that case, this center is easily found by taking separately the [[median]]s of the population's latitude and longitude coordinates. [[Tukey]] called this the ''cross median''.<ref>{{cite book |title=Exploratory Data Analysis |last=Tukey |first=John |date=1977 |publisher=Addison-Wesley |page=668 |isbn=9780201076165}}</ref>
The median centre is the intersection of two perpendicular lines, each of which divides the population into two equal halves.<ref>{{cite document |url=http://www2.census.gov/geo/pdfs/reference/cenpop2010/COP2010_documentation.pdf |title=Centers of Population Computation for the United States, 1950-2010 |date=March 2011 |publisher=Geography Division, U.S. Census Bureau |location=Washington, DC}}</ref> Typically these two lines are chosen to be a [[circle of latitude|parallel]] (a line of [[latitude]]) and a [[meridian (geography)|meridian]] (a line of [[longitude]]). In that case, this centre is easily found by taking separately the [[median]]s of the population's latitude and longitude coordinates. [[Tukey]] called this the ''cross median''.<ref>{{cite book |title=Exploratory Data Analysis |last=Tukey |first=John |date=1977 |publisher=Addison-Wesley |page=668 |isbn=9780201076165}}</ref>


===Geometric median===
===Geometric median===
Line 25: Line 25:


==Determination==
==Determination==
In practical computation, decisions are also made on the granularity (coarseness) of the population data, depending on population density patterns or other factors. For instance, the center of population of all the cities in a country may be different from the center of population of all the states (or provinces, or other subdivisions) in the same country. Different methods may yield different results.
In practical computation, decisions are also made on the granularity (coarseness) of the population data, depending on population density patterns or other factors. For instance, the centre of population of all the cities in a country may be different from the centre of population of all the states (or provinces, or other subdivisions) in the same country. Different methods may yield different results.


Practical uses for finding the center of population include locating possible sites for [[forward capital]]s, such as [[Brasília]], [[Astana]] or [[Austin, Texas|Austin]]. Practical selection of a new site for a capital is a complex problem that depends also on population density patterns and transportation networks.
Practical uses for finding the centre of population include locating possible sites for [[forward capital]]s, such as [[Brasília]], [[Astana]] or [[Austin, Texas|Austin]]. Practical selection of a new site for a capital is a complex problem that depends also on population density patterns and transportation networks.


==World==
==World==


It is important to use a method that does not depend on a two-dimensional projection when dealing with the entire world. As described in [[INED]] (Institut national d'études démographiques),<ref name="ined_fr">{{Cite journal | url = https://www.ined.fr/fichier/s_rubrique/18737/publi_pdf2_pop_and_soc_english_368.en.pdf | author = Claude Grasland and Malika Madelin | title = The unequal distribution of population and wealth in the world | journal = Population Et SociétéS |date=May 2001 | volume = 368 | pages = 1–4 | ISSN = 0184-7783 | publisher = Institut national d'études démographiques }}</ref> the solution methodology deals only with the globe. As a result, the answer is independent of which [[map projection]] is used or where it is centered. As described above, the exact location of the center of population will depend on both the granularity of the population data used, and the distance metric. With [[geodesic]] distances as the metric, and a granularity of {{convert|1000|km|sigfig=1|sp=us}}, meaning that two population centers within 1000&nbsp;km of each other are treated as part of a larger common population center of intermediate location, the world's center of population is found to lie somewhere north of [[South Asia]]<ref>exact phrase in the paper is "at the crossroads between China, India, Pakistan and Tajikistan"</ref> with an average distance of {{convert|5200|km|sigfig=2|sp=us}} to all humans.<ref name="ined_fr" /> The data used in the reference support this result to a [[Accuracy and precision|precision]] of only a few hundred kilometers, hence the exact location is not known. Another analysis utilising city level population data found that the world's center of population is located close to [[Almaty]], Kazakhstan.<ref name="cities">{{cite web |url=http://cityextremes.com/averagedistance.php |title=Center of World Population |author=<!--Not stated--> |date=2017 |website=City Extremes |access-date=August 21, 2017 |quote=}}</ref>
It is important to use a method that does not depend on a two-dimensional projection when dealing with the entire world. As described in [[INED]] (Institut national d'études démographiques),<ref name="ined_fr">{{Cite journal | url = https://www.ined.fr/fichier/s_rubrique/18737/publi_pdf2_pop_and_soc_english_368.en.pdf | author = Claude Grasland and Malika Madelin | title = The unequal distribution of population and wealth in the world | journal = Population Et SociétéS |date=May 2001 | volume = 368 | pages = 1–4 | ISSN = 0184-7783 | publisher = Institut national d'études démographiques }}</ref> the solution methodology deals only with the globe. As a result, the answer is independent of which [[map projection]] is used or where it is centred. As described above, the exact location of the centre of population will depend on both the granularity of the population data used, and the distance metric. With [[geodesic]] distances as the metric, and a granularity of {{convert|1000|km|sigfig=1|sp=us}}, meaning that two population centers within 1000&nbsp;km of each other are treated as part of a larger common population centre of intermediate location, the world's centre of population is found to lie somewhere north of [[South Asia]]<ref>exact phrase in the paper is "at the crossroads between China, India, Pakistan and Tajikistan"</ref> with an average distance of {{convert|5200|km|sigfig=2|sp=us}} to all humans.<ref name="ined_fr" /> The data used in the reference support this result to a [[Accuracy and precision|precision]] of only a few hundred kilometers, hence the exact location is not known. Another analysis utilising city level population data found that the world's center of population is located close to [[Almaty]], Kazakhstan.<ref name="cities">{{cite web |url=http://cityextremes.com/averagedistance.php |title=Center of World Population |author=<!--Not stated--> |date=2017 |website=City Extremes |access-date=August 21, 2017 |quote=}}</ref>


==By country==
==By country==
Line 40: Line 40:


===Canada===
===Canada===
In Canada, a 1986 study placed the point of minimum aggregate travel just north of [[Toronto]] in the city of [[Richmond Hill, Ontario|Richmond Hill]], and moving westward at a rate of approximately 2 metres per day.<ref>{{cite web|url=http://www.geog.ucsb.edu/~good/papers/169.pdf |title=The Population Center of Canada – Just North of Toronto?!? |format=PDF |accessdate=21 April 2012}}</ref>
In Canada, a 1986 study placed the point of minimum aggregate travel just north of [[Toronto]] in the city of [[Richmond Hill, Ontario|Richmond Hill]], and moving westward at a rate of approximately 2 metres per day.<ref>{{cite web|url=http://www.geog.ucsb.edu/~good/papers/169.pdf |title=The Population Centre of Canada – Just North of Toronto?!? |format=PDF |accessdate=21 April 2012}}</ref>


===China===
===China===
Line 46: Line 46:


===Estonia===
===Estonia===
The center of population of Estonia was on the northwestern shore of [[Lake Võrtsjärv]] in 1913 and moved an average of 6 km northwest with every decade until the 1970s. The higher immigration rates during the late [[Soviet occupation of Estonia|Soviet occupation]] to mostly [[Tallinn]] and [[Ida-Viru County|Northeastern Estonia]] resulted the center of population moving faster towards north and continuing urbanization has seen it move northwest towards Tallinn since the 1990s. The center of population according to the 2011 census was in [[Jüri]], just 6 km southeast from the border of Tallinn.<ref>Haav, Mihkel (2010) - "Eesti dünaamika 1913-1999"</ref>
The centre of population of Estonia was on the northwestern shore of [[Lake Võrtsjärv]] in 1913 and moved an average of 6 km northwest with every decade until the 1970s. The higher immigration rates during the late [[Soviet occupation of Estonia|Soviet occupation]] to mostly [[Tallinn]] and [[Ida-Viru County|Northeastern Estonia]] resulted the centre of population moving faster towards north and continuing urbanisation has seen it move northwest towards Tallinn since the 1990s. The centre of population according to the 2011 census was in [[Jüri]], just 6 km southeast from the border of Tallinn.<ref>Haav, Mihkel (2010) - "Eesti dünaamika 1913-1999"</ref>


===Finland===
===Finland===
Line 58: Line 58:


===Ireland===
===Ireland===
The center of population of the entire [[island of Ireland]] is located near [[Kilcock]], [[County Kildare]]. This is significantly further east than the [[Geographical centre of Ireland]], reflecting the disproportionately large cities of the east of the island ([[Belfast]] and [[Dublin]]).<ref>http://imgur.com/q439KW0</ref> The center of population of the [[Republic of Ireland]] is located southwest of [[Edenderry]], [[County Offaly]].<ref>http://imgur.com/prTTQOK</ref>
The centre of population of the entire [[island of Ireland]] is located near [[Kilcock]], [[County Kildare]]. This is significantly further east than the [[Geographical centre of Ireland]], reflecting the disproportionately large cities of the east of the island ([[Belfast]] and [[Dublin]]).<ref>http://imgur.com/q439KW0</ref> The centre of population of the [[Republic of Ireland]] is located southwest of [[Edenderry]], [[County Offaly]].<ref>http://imgur.com/prTTQOK</ref>


===Japan===
===Japan===
Line 64: Line 64:


===New Zealand===
===New Zealand===
[[File:NZ median centre of population 2017.png|thumb|New Zealand's median center of population over time]]
[[File:NZ median centre of population 2017.png|thumb|New Zealand's median centre of population over time]]
In June 2008, New Zealand's median centre of population was located near [[Taharoa]], around 100&nbsp;km (65&nbsp;mi) southwest of [[Hamilton, New Zealand|Hamilton]] on the [[North Island]]'s west coast.<ref>{{cite web |title= Subnational Population Estimates: At 30 June 2008 -- Commentary |url= http://www.stats.govt.nz/browse_for_stats/population/estimates_and_projections/subnationalpopulationestimates_hotp30jun08/commentary.aspx |publisher= Statistics New Zealand |accessdate= 11 November 2014}}</ref> In 1900 it was near [[Nelson, New Zealand|Nelson]] and has been moving steadily north ever since.<ref>http://nzbooks.org.nz/tag/bridget-williams-books/</ref>
In June 2008, New Zealand's median centre of population was located near [[Taharoa]], around 100&nbsp;km (65&nbsp;mi) southwest of [[Hamilton, New Zealand|Hamilton]] on the [[North Island]]'s west coast.<ref>{{cite web |title= Subnational Population Estimates: At 30 June 2008 -- Commentary |url= http://www.stats.govt.nz/browse_for_stats/population/estimates_and_projections/subnationalpopulationestimates_hotp30jun08/commentary.aspx |publisher= Statistics New Zealand |accessdate= 11 November 2014}}</ref> In 1900 it was near [[Nelson, New Zealand|Nelson]] and has been moving steadily north ever since.<ref>http://nzbooks.org.nz/tag/bridget-williams-books/</ref>


===Sweden===
===Sweden===
The [[demographical center of Sweden]] (using the median center definition) is [[Hjortkvarn]] in [[Hallsberg Municipality]], [[Örebro]] county. Between the 1989 and 2007 census the point moved a few kilometres to the south, due to a decreasing population in northern Sweden and immigration to the south.<ref>{{cite web |url=http://www.scb.se/Pages/TableAndChart____224774.aspx |title=Sweden's demographic centre, SCB.se, 2008-03-18 |publisher=Scb.se |date=18 March 2008 |accessdate=21 April 2012 |deadurl=yes |archiveurl=https://web.archive.org/web/20120329033422/http://www.scb.se/Pages/TableAndChart____224774.aspx |archivedate=29 March 2012 |df=dmy-all }}</ref>
The [[demographical centre of Sweden]] (using the median centre definition) is [[Hjortkvarn]] in [[Hallsberg Municipality]], [[Örebro]] county. Between the 1989 and 2007 census the point moved a few kilometres to the south, due to a decreasing population in northern Sweden and immigration to the south.<ref>{{cite web |url=http://www.scb.se/Pages/TableAndChart____224774.aspx |title=Sweden's demographic centre, SCB.se, 2008-03-18 |publisher=Scb.se |date=18 March 2008 |accessdate=21 April 2012 |deadurl=yes |archiveurl=https://web.archive.org/web/20120329033422/http://www.scb.se/Pages/TableAndChart____224774.aspx |archivedate=29 March 2012 |df=dmy-all }}</ref>


===Russia===
===Russia===
The center of population in the Russian Federation is calculated by A. K. Gogolev to be at {{coord|56|34|N|53|30|E}}, {{cvt|42|km}} south of [[Izhevsk]].<ref>[http://www.lifeofpeople.info/themes/?theme=2.3.21.s#article1 Сайт "Встарь, или Как жили люди"]</ref>
The centre of population in the Russian Federation is calculated by A. K. Gogolev to be at {{coord|56|34|N|53|30|E}}, {{cvt|42|km}} south of [[Izhevsk]].<ref>[http://www.lifeofpeople.info/themes/?theme=2.3.21.s#article1 Сайт "Встарь, или Как жили люди"]</ref>


===Taiwan===
===Taiwan===
Line 77: Line 77:


===United States===
===United States===
{{main|Mean center of the United States population}}
{{main|Mean centre of the United States population}}
The mean center of the United States population (using the centroid definition) has been calculated for each [[United States Census|U.S. Census]] since 1790. Over the last two centuries, it has progressed westward and, since 1930, southwesterly, reflecting population drift. For example, in 2010, the mean center was located near [[Plato, Missouri]], in the south-central part of the state, whereas, in 1790, it was in [[Kent County, Maryland]], {{convert|47|mi}} east-northeast of the then-new federal capital, Washington, D.C.
The mean centre of the United States population (using the centroid definition) has been calculated for each [[United States Census|U.S. Census]] since 1790. Over the last two centuries, it has progressed westward and, since 1930, southwesterly, reflecting population drift. For example, in 2010, the mean center was located near [[Plato, Missouri]], in the south-central part of the state, whereas, in 1790, it was in [[Kent County, Maryland]], {{convert|47|mi}} east-northeast of the then-new federal capital, Washington, D.C.


==Sources==
==Sources==

Revision as of 08:56, 21 September 2018

File:WorldCentreOfPopulation.png
The point on earth closest to everyone in the world on average is in the north of South Asia, with a mean distance of 5,000 kilometers (3,000 mi). Its antipodal point is correspondingly the farthest point from everyone on earth, and is located in the South Pacific near Easter Island, with a mean distance of 15,000 kilometers (9,300 mi). The data used by this figure is lumped at the country level, and is therefore lacking precision.

In demographics, the centre of population (or population centre) of a region is a geographical point that describes a centrepoint of the region's population. There are several different ways of defining such a "centre point", leading to different geographical locations; these are often confused.[1]

Definitions

Three commonly used (but different) centre points are:

  1. the mean centre, also known as the centroid or centre of gravity;
  2. the median centre, which is the junction of the median longitude and median latitude;
  3. the geometric median, also known as Weber point, Fermat–Weber point, or point of minimum aggregate travel.

A further complication is caused by the curved shape of the Earth. Different centre points are obtained depending on whether the centre is computed in three-dimensional space, or restricted to the curved surface, or computed using a flat map projection.

Mean centre

The mean centre, or centroid, is the point on which a rigid, weightless map would balance perfectly, if the population members are represented as points of equal mass.

Mathematically, the centroid is the point to which the population has the smallest possible sum of squared distances. It is easily found by taking the arithmetic mean of each coordinate. If defined in the three-dimensional space, the centroid of points on the Earth's surface is actually inside the Earth. This point could then be projected back to the surface. Alternatively, one could define the centroid directly on a flat map projection; this is, for example, the definition that the US Census Bureau uses.

Contrary to a common misconception, the centroid does not minimise the average distance to the population. That property belongs to the geometric median.

Median centre

The median centre is the intersection of two perpendicular lines, each of which divides the population into two equal halves.[2] Typically these two lines are chosen to be a parallel (a line of latitude) and a meridian (a line of longitude). In that case, this centre is easily found by taking separately the medians of the population's latitude and longitude coordinates. Tukey called this the cross median.[3]

Geometric median

The geometric median is the point to which the population has the smallest possible sum of distances (or equivalently, the smallest average distance). Because of this property, it is also known as the point of minimum aggregate travel. Unfortunately, there is no direct closed-form expression for the geometric median; it is typically computed using iterative methods.

Determination

In practical computation, decisions are also made on the granularity (coarseness) of the population data, depending on population density patterns or other factors. For instance, the centre of population of all the cities in a country may be different from the centre of population of all the states (or provinces, or other subdivisions) in the same country. Different methods may yield different results.

Practical uses for finding the centre of population include locating possible sites for forward capitals, such as Brasília, Astana or Austin. Practical selection of a new site for a capital is a complex problem that depends also on population density patterns and transportation networks.

World

It is important to use a method that does not depend on a two-dimensional projection when dealing with the entire world. As described in INED (Institut national d'études démographiques),[4] the solution methodology deals only with the globe. As a result, the answer is independent of which map projection is used or where it is centred. As described above, the exact location of the centre of population will depend on both the granularity of the population data used, and the distance metric. With geodesic distances as the metric, and a granularity of 1,000 kilometers (600 mi), meaning that two population centers within 1000 km of each other are treated as part of a larger common population centre of intermediate location, the world's centre of population is found to lie somewhere north of South Asia[5] with an average distance of 5,200 kilometers (3,200 mi) to all humans.[4] The data used in the reference support this result to a precision of only a few hundred kilometers, hence the exact location is not known. Another analysis utilising city level population data found that the world's center of population is located close to Almaty, Kazakhstan.[6]

By country

Australia

Australia's population centroid is in central New South Wales. By 1996 it had moved only a little to the north-west since 1911.[7]

Canada

In Canada, a 1986 study placed the point of minimum aggregate travel just north of Toronto in the city of Richmond Hill, and moving westward at a rate of approximately 2 metres per day.[8]

China

China's population centroid has wandered within southern Henan from 1952 to 2005. Incidentally, the two end point dates are remarkably close to each other.[9] China also plots its economic centroid or center of economy/GDP, which has also wandered, and is generally located at the eastern Henan borders.

Estonia

The centre of population of Estonia was on the northwestern shore of Lake Võrtsjärv in 1913 and moved an average of 6 km northwest with every decade until the 1970s. The higher immigration rates during the late Soviet occupation to mostly Tallinn and Northeastern Estonia resulted the centre of population moving faster towards north and continuing urbanisation has seen it move northwest towards Tallinn since the 1990s. The centre of population according to the 2011 census was in Jüri, just 6 km southeast from the border of Tallinn.[10]

Finland

In Finland, the point of minimum aggregate travel is located in the former municipality of Hauho.[11] It is moving slightly to the south-west-west every year because people are moving out of the periphery areas of northern and eastern Finland.

Germany

In Germany, the centroid of the population is located in Spangenberg, Hesse, close to Kassel.[12]

Great Britain

The center of population in Great Britain did not move much in the 20th century. In 1901, it was in Rodsley, Derbyshire and in 1911 in Longford. In 1971 it was at Newhall, South Derbyshire and in 2000, it was in Appleby Parva, Leicestershire.[13][14][15][need quotation to verify]

Ireland

The centre of population of the entire island of Ireland is located near Kilcock, County Kildare. This is significantly further east than the Geographical centre of Ireland, reflecting the disproportionately large cities of the east of the island (Belfast and Dublin).[16] The centre of population of the Republic of Ireland is located southwest of Edenderry, County Offaly.[17]

Japan

The centroid of population of Japan is in Gifu Prefecture, almost directly north of Nagoya city, and has been moving east-southeast for the past few decades.[18] More recently, the only large regions in Japan with significant population growth have been in Greater Nagoya and Greater Tokyo.

New Zealand

New Zealand's median centre of population over time

In June 2008, New Zealand's median centre of population was located near Taharoa, around 100 km (65 mi) southwest of Hamilton on the North Island's west coast.[19] In 1900 it was near Nelson and has been moving steadily north ever since.[20]

Sweden

The demographical centre of Sweden (using the median centre definition) is Hjortkvarn in Hallsberg Municipality, Örebro county. Between the 1989 and 2007 census the point moved a few kilometres to the south, due to a decreasing population in northern Sweden and immigration to the south.[21]

Russia

The centre of population in the Russian Federation is calculated by A. K. Gogolev to be at 56°34′N 53°30′E / 56.567°N 53.500°E / 56.567; 53.500, 42 km (26 mi) south of Izhevsk.[22]

Taiwan

Heping District, Taichung.[23]

United States

Main article: Mean centre of the United States population

The mean centre of the United States population (using the centroid definition) has been calculated for each U.S. Census since 1790. Over the last two centuries, it has progressed westward and, since 1930, southwesterly, reflecting population drift. For example, in 2010, the mean center was located near Plato, Missouri, in the south-central part of the state, whereas, in 1790, it was in Kent County, Maryland, 47 miles (76 km) east-northeast of the then-new federal capital, Washington, D.C.

Sources

  • Bellone F. and Cunningham R. (1993). "All Roads Lead to... Laxton, Digby and Longford." Statistics Canada 1991 Census Short Articles Series.

References

  1. ^ Kumler, Mark P.; Goodchild, Michael F. (1992). "The population center of Canada – Just north of Toronto?!?". In Janelle, Donald G. (ed.). Geographical snapshots of North America: commemorating the 27th Congress of the International Geographical Union and Assembly. pp. 275–279.
  2. ^ "Centers of Population Computation for the United States, 1950-2010" (Document). Washington, DC: Geography Division, U.S. Census Bureau. March 2011. {{cite document}}: Unknown parameter |url= ignored (help)
  3. ^ Tukey, John (1977). Exploratory Data Analysis. Addison-Wesley. p. 668. ISBN 9780201076165.
  4. ^ a b Claude Grasland and Malika Madelin (May 2001). "The unequal distribution of population and wealth in the world" (PDF). Population Et SociétéS. 368. Institut national d'études démographiques: 1–4. ISSN 0184-7783.
  5. ^ exact phrase in the paper is "at the crossroads between China, India, Pakistan and Tajikistan"
  6. ^ "Center of World Population". City Extremes. 2017. Retrieved 21 August 2017.
  7. ^ "Figure 15: Shifts in the Australian Population Centroid*, 1911–1996". Parliament of Australia Parliamentary Library. Archived from the original on 19 August 2000. Retrieved 7 January 2009.
  8. ^ "The Population Centre of Canada – Just North of Toronto?!?" (PDF). Retrieved 21 April 2012.
  9. ^ http://sourcedb.igsnrr.cas.cn/zw/lw/201007/P020100706529106697457.pdf
  10. ^ Haav, Mihkel (2010) - "Eesti dünaamika 1913-1999"
  11. ^ Uusirauma.fi[permanent dead link] Kaupunkilehti Uusi Rauma 03.08.2009 Päivän kysymys? Missä Rauman keskipiste? Template:Fi icon
  12. ^ Dradio.de Archived 24 October 2007 at the Wayback Machine Template:De icon
  13. ^ "News Item:". University of Leeds. Retrieved 25 November 2007.
  14. ^ "Population Centre". Appleby Magna & Appleby Parva. Archived from the original on 23 November 2007. Retrieved 25 November 2007.
  15. ^ "Coffee Break: The movable Midlands; ANSWERS TO CORRESPONDENTS". The Daily Mail. London. 7 February 2002. p. 64.
  16. ^ http://imgur.com/q439KW0
  17. ^ http://imgur.com/prTTQOK
  18. ^ "Our Country's Center of Population (我が国の人口重心)". Stat.go.jp. Retrieved 21 April 2012.
  19. ^ "Subnational Population Estimates: At 30 June 2008 -- Commentary". Statistics New Zealand. Retrieved 11 November 2014.
  20. ^ http://nzbooks.org.nz/tag/bridget-williams-books/
  21. ^ "Sweden's demographic centre, SCB.se, 2008-03-18". Scb.se. 18 March 2008. Archived from the original on 29 March 2012. Retrieved 21 April 2012. {{cite web}}: Unknown parameter |deadurl= ignored (|url-status= suggested) (help)
  22. ^ Сайт "Встарь, или Как жили люди"
  23. ^ https://www.ptt.cc/man/Geography/D1F0/DD1E/M.1105123514.A.427.html

Retrieved from "https://en.wikipedia.org/w/index.php?title=Center_of_population&oldid=860531388"