{{위키데이터 속성 추적}}
[[파일:Hungary single age population pyramid 2020.png|섬네일|331x331픽셀|2020년 헝가리의 인구 피라미드]]
[[파일:Hungary_historical_population.png|섬네일|350x350픽셀|1715-2008 헝가리의 인구]]
[[파일:Population_density_in_Hungary.png|섬네일|350x350픽셀|헝가리의 [[헝가리의 행정 구역|행정구역별]] 인구밀도.]]

== 인구학적 동향 ==
[[유엔]]에 따르면 2019년 기준 [[헝가리]]의 인구는 970만 명이다. 헝가리의 인구는 1950년 933만 명에서 1980년 1071만 명으로 정점을 찍고<ref>{{웹 인용|url=http://portal.ksh.hu/pls/ksh/docs/eng/xstadat/xstadat_long/h_wdsd001a.html|title=STADAT – 1.1. Population, vital statistics (1900–)|website=portal.ksh.hu|access-date=16 September 2017}}</ref>, 그 이후에는 [[인구감소|인구가 감소]]해 2010년에 이르러서는 1000만 명을 밑돌았으며<ref>{{뉴스 인용|url=https://blogs.wsj.com/new-europe/2010/10/28/hungarian-population-falls-below-10-million/|title=Hungarian Population Falls Below 10 Million|last=Gulyas|first=Veronika|date=October 28, 2010|work=The Wall Street Journal}}</ref>, 현재까지도 인구감소가 진행중에 있다. 아래 표은 1950-2015년 헝가리의 인구를 나타낸 것이며, 유엔 통계를 기준으로 작성된 것이기 때문에 기관마다 차이가 있을 수 있다.
{| class="wikitable"
! colspan="7" |연도별 헝가리의 인구<ref>{{웹 인용|url=https://data.un.org/Data.aspx?q=Hungary&d=PopDiv&f=variableID%3a12%3bcrID%3a348|제목=Total population, both sexes combined (thousands)|성=United Nations Population Division|날짜=2019-06-17|확인날짜=2021-07-22}}</ref>
|-
!1950
!1970
!1990
!2000
!2005
!2010
!2015
|-
|933.8만 명
|↗1036.6만 명
|↘1037.7만 명
|↘1022.1만 명
|↘1008.6만 명
|↘992.7만 명
|↘977.8만 명
|}
헝가리는 다른 [[동구권]] [[러시안 크로스|국가들처럼 인구가 감소]]하고 있지만, 감소가 시작된 시점(1981년)은 비교적 이른 편이지만, 인구 감소폭은 비교적 적은 편이다. 연평균 [[인구 성장률]]은 1950-1955년 1.0%에서 2010-2015년 -0.3%, 2015-2020년 -0.2%로 낮아졌으며<ref>{{웹 인용|url=https://data.un.org/Data.aspx?q=Hungary&d=PopDiv&f=variableID%3a47%3bcrID%3a348|제목=Average annual rate of population change (percentage)|성=United Nations Population Division|날짜=2019-06-17|확인날짜=2021-07-22}}</ref>, 연평균 [[합계출산율]]도 1950-1955년 2.69명에서 2000-2005년 1.29명으로 낮아졌지만, 2015-2020년 1.49명으로 소폭 상승했다.<ref>{{웹 인용|url=https://data.un.org/Data.aspx?q=Hungary&d=PopDiv&f=variableID%3a54%3bcrID%3a348|제목=Total fertility rate (live births per woman)|성=United Nations Population Division|날짜=2019-06-17|확인날짜=2021-07-22}}</ref>

'''2019년 유엔 인구 통계'''

총인구: 970만 명

15세 미만 인구: 14.4%

15~24세 인구: 10.6%

25~64세 인구: 55.3%

65세 이상 인구: 19.7%

노인 부양 가능 인구(65세 이상 노인 1명당 25~64세 노동 인구): 2.8명

인구 성장률: -0.2%

조출생률(인구 1000명당): 9.5명

합계출산율: 1.51명

조사망률(인구 1000명당): 12.6명

영아사망률(1살 미만 1000명당): 4명

유아사망률(5세 미만 1000명당): 4명

출생시 기대수명: 76.9세

== 인구의 역사 ==
{{Historical populations|1784<ref>Dezső Danyi-Zoltán Dávid: Az első magyarországi népszámlálás (1784–1787)/The first census in Hungary (1784–1787), Hungarian Central Statistical Office, Budapest, 1960, pp. 30</ref>|28=10374823|22=9961044|23=1970|24=10300996|25=1980|26=10709463|27=1990|29=2001|20=9204799|30=10200298|31=2011|32=9937628|33=2021|34=9730000|type=|21=1960|19=1949|2681595|9=1900|1870|5011310|1880|5329191|1890|6009351|10=6854415|18=9316074|11=1910|12=7612114|13=1920|14=7986875|15=1930|16=8685109|17=1941|footnote=참조: 현재 헝가리의 영토를 기준으로 나타낸 것임<ref>[http://www.ksh.hu/docs/hun/xstadat/xstadat_eves/i_wdsd001.html Népesség a település jellege szerint, január 1. (1980–)] KSH.hu</ref>}}
{| class="wikitable"
! width="10%" |날짜
! width="20%" |예측 인구
! width="30%" |[[크로아티아 왕국]] 시절 헝가리인의 비중
|-
|(기원후) 900
|
* 250,000-350,000<ref name="Kovacsics">József Kovacsics, Population history of Hungary mirrored by the conference-series (896-1870) (Magyarország népességtörténete a konferenciasorozat tükrésben (896-1870)), In: Demographia, 1996 - VOLUME 39, NUMBER 2-3, p. 145-165</ref>
* 500,000-600,000<ref name="Kovacsics" />
* 600,000<ref name="A Country Study: Hungary">{{서적 인용|url=http://lcweb2.loc.gov/cgi-bin/query/r?frd/cstdy:@field(DOCID+hu0013)|title=A Country Study: Hungary|publisher=Federal Research Division, [[Library of Congress]]|access-date=2009-03-06}}</ref>
* 1,000,000-1,500,000<ref name="Rabb">Péter Rabb, [http://www.pp.bme.hu/ar/article/view/42/36 Natural conditions in the Carpathian Basin of the Middle Ages], 2007, p. 58</ref>
|66%<ref name="A Country Study: Hungary" /><ref name="books.google.co.uk">Edgar C. Polomé, Essays on Germanic religion, Institute for the Study of Man, 1989, p. 150 [https://books.google.com/books?ei=0xsfTemBHMO3hAeo4u22Dg&ct=result&id=THs7AQAAIAAJ&dq=Hungarian+population+size+20+000+horsemen&q=400-500000#search_anchor]</ref>
|-
|1000
|1,000,000-1,500,000<ref name="Sebők">Marcell Sebők, [https://books.google.com/books?id=rbWZAgg9a5EC&pg=PA658&dq=Hungary+medieval+population+million&hl=en&ei=MMihTvGrJ5Gy8QOrmLnLBQ&sa=X&oi=book_result&ct=result&resnum=6&ved=0CEUQ6AEwBTgo#v=onepage&q=Hungary%20medieval%20population%20million&f=false The man of many devices, who wandered full many ways--: festschrift in honour of János M. Bak], Central European University Press, 1999, p. 658</ref>
|
|-
|1060
|500,000-550,000<ref name="Kovacsics" />
|
|-
|1100
|2,000,000<ref name="Rabb" />
|
|-
|1181
|2,600,000<ref name="Rabb" />
|
|-
|1200
|1,000,000-1,100,000<ref name="Kovacsics" />
|
|-
|1222
|2,000,000<ref name="Berend">Nóra Berend, [https://books.google.com/books?id=QilobDXhObYC&pg=PA299&dq=historical+demography+of+Hungary+medieval&hl=en&ei=2LihTtnABczZ8QP0saDUBQ&sa=X&oi=book_result&ct=result&resnum=1&ved=0CDYQ6AEwAA#v=onepage&q=2%20million&f=false At the gate of Christendom: Jews, Muslims, and "pagans" in medieval Hungary, c. 1000-c. 1300], Cambridge University Press, 2001, pp. 63-72</ref>
|70–80%<ref name="Britannica2">Hungary. (2009). In Encyclopædia Britannica. Retrieved May 11, 2009, from Encyclopædia Britannica Online: http://www.britannica.com/EBchecked/topic/276730/Hungary</ref><ref name="carth">''Historical World Atlas. With the commendation of the [[Royal Geographical Society]].'' Carthographia, [[Budapest]], [[Hungary]], 2005. {{ISBN|978-963-352-002-4}} CM</ref>
|-
|1242
|
* 1,020,000-1,220,000<ref name="Kovacsics" />
* 1,200,000<ref name="carth" />
|
|-
|1300
|
* 1,400,000-1,600,000<ref name="Kovacsics" />
* 2,000,000<ref name="Nyberg">Tore Nyberg, Lars Bisgaard, [https://books.google.com/books?ei=zcqhTuyhOcir8AOv8c3yBQ&ct=result&id=e77YAAAAMAAJ&dq=Hungary+medieval+population+million&q=+3.5-4+million#search_anchor Medieval spirituality in Scandinavia and Europe: a collection of essays in honour of Tore Nyberg], Odense University Press, 2001, p. 170</ref>
* 3,000,000<ref name="Rabb" />
|
|-
|1348
|
* 5,000,000<ref name="Russell">Josiah Cox Russell, [https://books.google.com/books?ei=ErWhTqOHMce28QP7_YWDBg&ct=result&id=s_sMAQAAIAAJ&dq=medieval+Hungary+population+percent&q=Hungary#search_anchor Late ancient and medieval population], American Philosophical Society, 1958, p. 100</ref>
* 3,000,000<ref name="Enyedi">György Enyedi, Hungary: an economic geography, Westview Press, 1976, p. 23</ref><ref>Miklós Molnár, [https://books.google.com/books?id=y0g4YEp7ZrsC&pg=PA42&dq=Hungary+medieval+population+million&hl=en&ei=FsOhTuH8NIL98gOesIHzBQ&sa=X&oi=book_result&ct=result&resnum=4&ved=0CD8Q6AEwAzgK#v=onepage&q=Hungary%20medieval%20population%20million&f=false A concise history of Hungary], Cambridge University Press, 2001, p. 42</ref>
|
|-
|1370
|{{circa}} 2,000,000
|60–70%<ref name="carth" /> (크로아티아 포함)
|-
|-
|1400
|
* 3,000,000-3,500,000<ref name="Mannová">Elena Mannová, Blanka Brezováková, [https://books.google.com/books?ei=qsShTo3YOcWe8gPWj-HkDA&ct=result&id=f6MUAQAAIAAJ&dq=Hungary+medieval+population+million&q=3-3.5+million#search_anchor A concise history of Slovakia], Historický ústav SAV, 2000, p. 88</ref>
* 3,000,000<ref name="Russell" />
|
|-
|1490
|
* 5,000,000<ref>Joseph Slabey Rouček, [https://books.google.com/books?ei=ANehTq7wHIq28QOx3-DnBQ&ct=result&id=qxfTAAAAMAAJ&dq=Hungary+medieval+population+million&q=numbered+5#search_anchor Contemporary Europe: a study of national, international, economic, and cultural trends. A symposium], D. Van Nostrand Co., 1947, p. 424</ref><ref name="Bush">M. L. Bush, [https://books.google.com/books?id=RrmGcKC75ggC&pg=PA143&dq=1711+hungarian+population+million&hl=en&ei=OumhToKuEMva8QPQjK3jBQ&sa=X&oi=book_result&ct=result&resnum=3&ved=0CDYQ6AEwAg#v=onepage&q=1711%20hungarian%20population%20million&f=false Servitude in modern times], Wiley-Blackwell, 2000, p. 143</ref>
* 4,500,000-5,000,000<ref name="Enyedi" /><ref>Éva Molnár, [https://books.google.com/books?ei=IrOhTqmHDYX-8gOI3bziBQ&ct=result&id=yRUiAQAAIAAJ&dq=medieval+Hungary+population+percent&q=%22end+of+the+15th+century%22+#search_anchor Hungary: essential facts, figures & pictures], MTI Media Data Bank, 1995</ref>
* 4,000,000-4,500,000<ref name="Mannová" />
* 4,000,000<ref name="Nyberg" /><ref name="Bahr">Lauren S. Bahr, Bernard Johnston (M.A.), [https://books.google.com/books?ei=ONuhTrOzBc2v8QPmlMXLBQ&ct=result&id=ApcxAQAAIAAJ&dq=Hungary+medieval+population+majority+percent&q=%22the+country%27s+total%22#search_anchor Collier's encyclopedia: with bibliography and index, Volume 12], P.F. Collier, 1993, p. 381-383</ref><ref name="Patai">Raphael Patai, [https://books.google.com/books?id=LLuPS1yVDf8C&printsec=frontcover&dq=The+Jews+of+Hungary:+history,+culture,+psychology&hl=en&ei=VweiToTuH9K98gOQsfD9BQ&sa=X&oi=book_result&ct=result&resnum=1&ved=0CDcQ6AEwAA#v=snippet&q=1720&f=false The Jews of Hungary: history, culture, psychology], Wayne State University Press, 1996, p. 201</ref><ref name="Halasz">Zoltán Halász, [https://books.google.com/books?ei=PAiiTobqDoKp8AO0hsTqBQ&ct=result&id=4sZnAAAAMAAJ&dq=rakoczy+Hungary+4+million&q=+4+million#search_anchor Hungary: a guide with a difference], Corvina Press, 1978, pp. 20-22</ref>
* 3,500,000-4,000,000<ref name="Sebők" />
* 3,400,000<ref>Joseph Held, [https://books.google.com/books?ei=ALyhTpH3IISl8QPY7ZnbBQ&ct=result&id=QuBnAAAAMAAJ&dq=historical+demography++Hungary+medieval+population&q=%223.4+million%22#search_anchor Hunyadi: legend and reality], East European Monographs, 1985, p. 59</ref>
|
* 90%<ref name="Potter">George Richard Potter, The New Cambridge modern history: The Renaissance, 1493–1520, CUP Archive, 1971, p. 405 [https://books.google.com/books?id=1BY9AAAAIAAJ&pg=PA405&dq=Hungarians+1720+percent+population&hl=en&ei=Qm8WTaurGaCqhAe-2My3Dg&sa=X&oi=book_result&ct=result&resnum=6&ved=0CDwQ6AEwBTgK#v=onepage&q&f=false]</ref>
* 80-85%<ref name="Ukrainian">The New review, Volume 6, World Federation of Ukrainian Former Political Prisoners and Victims of the Soviet Regime, A. Pidhainy., 1966, p. 25 [https://books.google.com/books?ei=flgWTb7eI8yChQeli6W3Dg&ct=result&id=wPgXAAAAIAAJ&dq=population+1490+Magyars+80%25&q=+80-85%25#search_anchor]</ref>
* 80%<ref name="carth" /><ref>Leslie Konnyu, Hungarians in the United States: an immigration study, American Hungarian Review, 1967, p. 4 [[iarchive:hungariansinunit00konn|<!-- quote= 80 stock. -->]]</ref><ref>László Kósa, István Soós, A companion to Hungarian studies, Akadémiai Kiadó, 1999, p. 16 [https://books.google.com/books?ei=2JYbTaH6AtOxhQeimaC3Dg&ct=result&id=0rhnAAAAMAAJ&dq=A+companion+to+Hungarian+studies&q=+Hungarians++about+eighty+percent+#search_anchor]</ref><ref>Teppo Korhonen, Helena Ruotsala, Eeva Uusitalo, Making and breaking of borders: ethnological interpretations, presentations, representations, Finnish Literature Society, 2003, p.39 [https://books.google.com/books?ei=37EbTczeJtKZhQeS4Zi3Dg&ct=result&id=RiISAQAAIAAJ&dq=Hungarians+15th+century+80+per+cent+population&q=80+made+up+of+#search_anchor]</ref>
* 77%<ref name="Bahr" />
* 75-80%<ref>Carlile Aylmer Macartney, The Habsburg Empire, 1790–1918, Macmillan, 1969, p. 79 [https://books.google.com/books?ei=wF0WTd3BBsOLhQeV1Jm3Dg&ct=result&id=latnAAAAMAAJ&dq=Hungarian+population+1790&q=1500+seventy-five#search_anchor]</ref><ref>Gábor Ágoston, Bruce Alan Masters, Encyclopedia of the Ottoman Empire, Infobase Publishing, 2009, p. 258 [https://books.google.com/books?id=QjzYdCxumFcC&pg=PA258&dq=population+Magyars++80+percent&hl=en&ei=15EbTfPxCJeShAeD6InzDQ&sa=X&oi=book_result&ct=result&resnum=7&ved=0CEEQ6AEwBjgU#v=onepage&q=population%20Magyars%20%2080%20percent&f=false]</ref><ref>Domokos G. Kosáry, A history of Hungary, The Benjamin Franklin bibliophile society, 1941, p. 79 [https://books.google.com/books?ei=OLAbTeuUEcq6hAfQz5G3Dg&ct=result&id=AHsjAAAAMAAJ&dq=Magyars+15th+century+majority+population&q=77+per+cent#search_anchor]</ref><ref name="Hochedlinger">Michael Hochedlinger, [https://books.google.com/books?id=U-LTw-cylfoC&pg=PA21&dq=Hungary+medieval+population+million&hl=en&ei=BcahTtybFY608QOXoY3NBQ&sa=X&oi=book_result&ct=result&resnum=2&ved=0CDIQ6AEwATge#v=onepage&q=Hungary%20medieval%20population%20million&f=false Austria's wars of emergence: war, state and society in the Habsburg monarchy, 1683-1797], Pearson Education, 2003, p. 21</ref><ref name="Kertesz">Stephen Denis Kertesz, [https://books.google.com/books?ei=wPKhTqPBGIeR8gPw17XyBQ&ct=result&id=ehsqAAAAYAAJ&dq=Diplomacy+in+a+whirlpool%3A+Hungary+between+Nazi+Germany+and+Soviet+Russia&q=75+to+80#search_anchor Diplomacy in a whirlpool: Hungary between Nazi Germany and Soviet Russia], Greenwood Press, 1974, p. 191</ref>
* 60-70% (크로아티아 포함)<ref name="Adanir">The Ottomans and the Balkans: a discussion of historiography  By Fikret Adanır, Suraiya Faroqhi p.333 [https://books.google.com/books?id=4gNQtt2s1wMC&pg=PA333&dq=hungarian+population+1700&hl=en&ei=PQISTczfC5CyhAehs9y2Dg&sa=X&oi=book_result&ct=result&resnum=3&ved=0CDEQ6AEwAg#v=onepage&q=hungarian%20population%201700&f=false]{{깨진 링크|url=https://books.google.com/books?id=4gNQtt2s1wMC&pg=PA333&dq=hungarian+population+1700&hl=en&ei=PQISTczfC5CyhAehs9y2Dg&sa=X&oi=book_result&ct=result&resnum=3&ved=0CDEQ6AEwAg }}</ref>
|-
|1600
|
* 4,000,000-4,500,000<ref name="Tóth">István György Tóth, Gábor Ágoston, [https://books.google.com/books?ei=vQCiTqrJLsO38gOjuPzvBQ&ct=result&sqi=2&id=9AMiAQAAIAAJ&dq=%221711%22+n%C3%A9pess%C3%A9ge+4+milli%C3%B3&q=+4+milli%C3%B3#search_anchor Millenniumi magyar történet: Magyarország története a honfoglalástól napjainkig], Osiris, 2001, p. 321</ref>
* 3,500,000<ref name="Murphey">Rhoads Murphey, [https://books.google.com/books?id=dGs0soIEJEUC&pg=PA174&dq=Hungary+medieval+population+million&hl=en&ei=OtKhTua4GdK18QOgyJ38BQ&sa=X&oi=book_result&ct=result&resnum=8&ved=0CE0Q6AEwBzhu#v=onepage&q=Hungary%20medieval%20population%20million&f=false Ottoman warfare, 1500-1700], Rutgers University Press, 1999, p. 174</ref>
|
|-
|1699
|
* 4,000,000<ref name="Tóth" /><ref name="Murphey" /><ref name="Papp-Barta">Klára Papp – János Barta Jr., [http://www.hhrf.org/kisebbsegkutatas/mr_06/cikk.php?id=1251 Minorities research 6.] {{Webarchive|url=https://web.archive.org/web/20111229115403/http://www.hhrf.org/kisebbsegkutatas/mr_06/cikk.php?id=1251|date=2011-12-29}}, Kisebbségkutatás (Minorities Studies and Reviews)</ref>
* 3,500,000-4,000,000<ref name="Hochedlinger" />
* 3,500,000<ref>Lonnie Johnson, [https://books.google.com/books?ei=7-yhTtaCDozZ8gOsuaWeDw&ct=result&id=qfUWAQAAIAAJ&dq=1711+hungarian+population+million&q=3.5+million#search_anchor Central Europe: enemies, neighbors, friends], Oxford University Press, 2002, p. 100</ref>
|
* 50–55%<ref name="carth" /><ref name="Adanir" />
* 50%<ref name="Hochedlinger" /><ref name="Papp-Barta" />
|-
|1711
|
* 4,000,000<ref>Eric H. Boehm, [https://books.google.com/books?ei=1-2hTvD4Dom58gOA98z2BQ&ct=result&id=QiRBAQAAIAAJ&dq=1711+hungarian+population+million&q=four+million#search_anchor Historical abstracts: Modern history abstracts, 1450-1914, Volume 49, Issues 1-2], American Bibliographical Center of ABC-Clio, 1998, p. 331</ref>
* 2,500,000<ref name="Bush" />
|
* 53%<ref name="carth" />
* 45%<ref name="Ukrainian" />
|-
|1720
|
* 4,000,000-4,500,000<ref>Imre Wellmann, [https://books.google.com/books?ei=vQCiTqrJLsO38gOjuPzvBQ&ct=result&sqi=2&id=cqAuAAAAMAAJ&dq=%221711%22+n%C3%A9pess%C3%A9ge+4+milli%C3%B3&q=%221720-ban+m%C3%A1r%22#search_anchor A magyar mezőgazdaság a XVIII. században], Akadémiai Kiadó, 1979, p. 13</ref>
* 4,000,000<ref name="Kovacsics" /><ref name="Halasz" /><ref>Rudolf Andorka, [https://books.google.com/books?id=iaM9AAAAIAAJ&pg=PA93&dq=1711+hungarian+population+million&hl=en&ei=KeyhTreMJ8it8QPUwZ3qBQ&sa=X&oi=book_result&ct=result&resnum=2&ved=0CDMQ6AEwATgK#v=onepage&q=1711%20hungarian%20population%20million&f=false Determinants of fertility in advanced societies], Taylor & Francis, 1978, p. 93</ref>
* 3,500,000<ref name="Patai" /><ref name="Kertesz" />
* 2,600,000-4,000,000<ref name="Kertzer">David I. Kertzer, [https://books.google.com/books?id=EdjcDFEGClcC&pg=PA130&dq=1711+hungarian+population+million&hl=en&ei=OumhToKuEMva8QPQjK3jBQ&sa=X&oi=book_result&ct=result&resnum=1&ved=0CC4Q6AEwAA#v=onepage&q=1711%20hungarian%20population%20million&f=false Aging in the past: demography, society, and old age], University of California Press, 1995, p. 130</ref>
|
* 55%<ref name="Kertesz" />
* 45%<ref name="Bahr" />
* 44%<ref>M. L. Bush, Rich noble, poor noble, Manchester University Press ND, 1988, p. 19 [https://books.google.com/books?id=TIG7AAAAIAAJ&pg=PA19&dq=magyars+population++1720&hl=en&ei=-A4STc6dMImFhQfG1vW5Dg&sa=X&oi=book_result&ct=result&resnum=4&ved=0CDAQ6AEwAw#v=onepage&q=magyars%20population%20%201720&f=false]</ref>
* 40%<ref name="Potter" />
* 35%<ref name="Britannica2" />
|-
|1785-87
|8,000,000
|
|-
|1790
|
* 9,000,000<ref name="Patai" /><ref name="Halasz" /><ref name="Sugar">Peter F. Sugar, Péter Hanák, [[Tibor Frank]], A History of Hungary, Indiana University Press, 1994 pp. 11-143.[https://books.google.com/books?id=SKwmGQCT0MAC&pg=PA1&dq=Hungarian+conquest&hl=en&ei=MwqvTOLICM_IswaqusmwDQ&sa=X&oi=book_result&ct=result&resnum=1&ved=0CCQQ6AEwAA#v=onepage&q=three%20kabar&f=false]</ref>
* 8,500,000<ref name="Bush" />
* 8,100,000-8,200,000<ref name="Kertzer" />
|
* 40%<ref name="Britannica2" /><ref>{{웹 인용|url=https://books.google.com/books?id=5cBWAAAAMAAJ&q=being+in+a+minority+in|title=The Encyclopedia Americana|date=6 April 1968|publisher=Americana Corporation|via=Google Books}}</ref><ref>Jonathan Dewald, Europe 1450 to 1789: encyclopedia of the early modern world, Charles Scribner's Sons, 2004, p. 230 [https://books.google.com/books?ei=7asbTY6nLoK2hAenopW3Dg&ct=result&id=8oQYAAAAIAAJ&dq=Magyars+1780+40+percent+population&q=comprised+less+than+40+percent+of+the+#search_anchor]</ref>
* 39%<ref name="Kovacsics" />
* 35%<ref>Arthur J. Sabin, Red Scare in Court: New York Versus the International Workers Order, University of Pennsylvania Press, 1999, p. 4 [https://books.google.com/books?id=J-WMEmarmEEC&pg=PA4&dq=Hungarians+1780+percent+population&hl=en&ei=SacbTfnlE5OBhQfdpv23Dg&sa=X&oi=book_result&ct=result&resnum=8&ved=0CEUQ6AEwBzgU#v=onepage&q&f=false]</ref>
|-
|1828
|11,495,536
|
|-
|1830
|
|
* 37% (44 퍼센트가 헝가리 중심부에 거주)<ref name="google2">{{서적 인용|url=https://books.google.com/books?id=38ciAe4J4VMC|title=Geopolitics of the Central European Region: The View from Prague and Bratislava|author1=Krej?í, O.|author2=Styan, M.C.|date=2005|publisher=VEDA, Publishing House of the Slovak Academy of Sciences|page=284|isbn=9788022408523|access-date=2015-05-18|author3=vied, Ú.}}</ref>
|-
|1837
|
|
* 44%<ref name="Bideleux">Robert Bideleux, Ian Jeffries, [https://books.google.com/books?id=g6l-AgAAQBAJ&pg=PT625&dq=1837+44+percent+Hungary&hl=en&sa=X&ei=fHOEU_GDEYK8OaingNgO&ved=0CDEQ6AEwAA#v=onepage&q=1837%2044%20percent%20Hungary&f=false History of Eastern Europe: Crisis and Change], Taylor & Francis, 2007, page 259, {{ISBN|978-0-415-36627-4}}</ref>
* 37% ([[크로아티아-슬라보니아 왕국]])<ref name="Bideleux" />
|-
|1846
|12,033,399
|
* 40–45%
* 41.6%<ref name="Lendvai">Paul Lendvai, The Hungarians: a thousand years of victory in defeat, C. Hurst & Co. Publishers, 2003, p.286 [https://books.google.com/books?id=UtIr97n3tP0C&pg=PA352&dq=population+Hungary+without+Croatia&hl=en&ei=k3wbTcfEDZK1hAec5YC3Dg&sa=X&oi=book_result&ct=result&resnum=10&ved=0CFAQ6AEwCTgU#v=onepage&q=per%20cent&f=false]</ref>
* 36.5-40% (크로아티아 왕국)<ref name="Lendvai" />
|-
|1850
|11,600,000
|
* 41.4%<ref>A Concise History of Hungary, by Miklós Molnár page 179</ref>
|-
|1857
|13,830,870
|44.5%<ref name="Kovacsics" />
|-
|1869
|13,508,000
|45.2%<ref>Andrew C. Janos. [https://books.google.com/books?id=MMYOx7QnHPwC&pg=PA127&dq=1869+hungary+romanians&hl=ro&sa=X&ei=RvZoU4HlF6K4yQONiIDwAw&ved=0CDoQ6AEwAQ#v=onepage&q=1869%20hungary%20romanians&f=false ''The Politics of Backwardness in Hungary, 1825-1945'']</ref>
|-
|1880
|13,749,603
|46%
|-
|1900
|16,838,255
|51.4%<ref name="Frucht">Richard C. Frucht, Eastern Europe: an introduction to the people, lands, and culture / edited by Richard Frucht, Volume 1, ABC-CLIO, 2005, p. 356 [https://books.google.com/books?id=lVBB1a0rC70C&pg=PA356&dq=population+Hungary+without+Croatia&hl=en&ei=-YsbTavgPMeGhQfnqayoDA&sa=X&oi=book_result&ct=result&resnum=8&ved=0CEQQ6AEwBzgU#v=onepage&q=population%20Hungary%20without%20Croatia&f=false]</ref>
|-
|1910
|18,264,533
|
* 54.5%<ref name="Frucht" />
* 48.1% (크로아티아 왕국)<ref>Carl Cavanagh Hodge, Encyclopedia of the Age of Imperialism, 1800–1914: A-K, Greenwood Publishing Group, 2008, p. 306 [https://books.google.com/books?id=NtEZ7Zq7s-gC&pg=PA306&dq=population+Magyars++percent+middle+age&hl=en&ei=To8bTaK0BoWShAegvvG2Dg&sa=X&oi=book_result&ct=result&resnum=4&ved=0CDUQ6AEwAw#v=onepage&q&f=false]</ref>
|}

== 인구 통계 ==

=== 1850-1900 합계출산율 ===
출처: [[:en:Our_World_In_Data|Our World In Data]], [[:en:Gapminder_Foundation|Gapminder Foundation]].<ref name="ourworldindata.org">{{인용|url=https://ourworldindata.org/grapher/children-born-per-woman?year=1800&country=HUN|title=Total Fertility Rate around the world over the last centuries|author=Max Roser|date=2014|work=[[Our World In Data]], [[Gapminder Foundation]]}}</ref>
{| class="wikitable"
!연도
!1850
!1851
!1852
!1853
!1854
!1855
!1856
!1857
!1858
!1859
!1860<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
|5.18
|5.15
|5.12
|5.09
|5.06
|5.03
|5
|4.97
|4.94
|4.91
|4.88
|}
{| class="wikitable"
!연도
!1861
!1862
!1863
!1864
!1865
!1866
!1867
!1868
!1869
!1870<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
|4.85
|5.11
|5.41
|5.03
|5.11
|5.02
|4.64
|5.09
|5.12
|5.14
|}
{| class="wikitable"
!연도
!1871
!1872
!1873
!1874
!1875
!1876
!1877
!1878
!1879
!1880<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
|5.23
|4.96
|5.18
|5.23
|5.55
|5.61
|5.29
|5.23
|5.58
|5.23
|}
{| class="wikitable"
!연도
!1881
!1882
!1883
!1884
!1885
!1886
!1887
!1888
!1889
!1890<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
|5.28
|5.4
|5.5
|5.59
|5.48
|5.57
|5.41
|5.36
|5.35
|4.93
|}
{| class="wikitable"
!연도
!1891
!1892
!1893
!1894
!1895
!1896
!1897
!1898
!1899
!1900<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
|5.2
|4.96
|5.25
|5.08
|5.48
|5.11
|4.97
|4.95
|4.62
|4.79
|}
[[파일:Hungary_1910-2009.png|오른쪽|섬네일|350x350픽셀|1910–2009 헝가리의 인구 추이. 설명 포함.]]

=== 1900-현재 출생 및 사망 통계 ===
<ref>B.R. Mitchell. European historical statistics, 1750–1975.</ref><ref>[http://unstats.un.org/unsd/demographic/products/dyb/dybsets/1948%20DYB.pdf United nations. Demographic Yearbook 1948]</ref><ref name="ksh">{{웹 인용|url=http://www.ksh.hu/docs/hun/xstadat/xstadat_hosszu/h_wdsd001a.html?579|title=Vital statistics, Hungarian Central Statistical Office|publisher=ksh.hu|access-date=2015-05-18}}</ref><ref>{{웹 인용|url=https://www.ksh.hu/stadat_files/nep/en/nep0040.html|title=Vital events by county and region}}</ref><ref>{{웹 인용|url=https://www.ksh.hu/stadat_files/nep/en/nep0001.html|title=Main indicators of population and vital events}}</ref>

출처: 헝가리 중앙 통계청<ref>{{웹 인용|url=http://www.ksh.hu/?lang=en|title=Hungarian Central Statistical Office}}</ref>
{| class="wikitable"
!
! width="80pt" |인구
! width="80pt" |출생아 수
! width="80pt" |사망자 수
! width="80pt" |자연 증감
! width="80pt" |조출생률 (1000명당)
! width="80pt" |조사망률(1000명당)
! width="80pt" |자연 증감률 (1000명당)
! width="80pt" |합계출산율<ref name="ourworldindata.org2">{{인용|url=https://ourworldindata.org/grapher/children-born-per-woman?year=1800&country=HUN|title=Total Fertility Rate around the world over the last centuries|author=Max Roser|date=2014|work=[[Our World In Data]], [[Gapminder Foundation]]}}</ref><ref name="cia.gov2">{{인용|url=https://www.cia.gov/the-world-factbook/countries/hungary/|title=World Factbook EUROPE : HUNGARY|work=[[The World Factbook]]|date=July 12, 2018}}</ref>
|-
|1900
| align="right" |6,854,000
| align="right" |268,019
| align="right" |177,363
| align="right" |90,656
| align="right" |39.4
| align="right" |27.0
| align="right" |12.4
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.28
|-
|1901
| align="right" |
| align="right" |260,439
| align="right" |166,662
| align="right" |93,777
| align="right" |37.6
| align="right" |25.0
| align="right" |12.6
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.22
|-
|1902
| align="right" |
| align="right" |270,385
| align="right" |179,260
| align="right" |91,125
| align="right" |38.6
| align="right" |26.9
| align="right" |11.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.16
|-
|1903
| align="right" |
| align="right" |258,209
| align="right" |179,518
| align="right" |78,691
| align="right" |36.5
| align="right" |26.1
| align="right" |10.4
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.10
|-
|1904
| align="right" |
| align="right" |260,446
| align="right" |172,704
| align="right" |87,742
| align="right" |37.0
| align="right" |24.8
| align="right" |12.2
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.04
|-
|1905
| align="right" |
| align="right" |252,501
| align="right" |203,516
| align="right" |48,985
| align="right" |35.5
| align="right" |27.8
| align="right" |7.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.98
|-
|1906
| align="right" |
| align="right" |258,296
| align="right" |176,938
| align="right" |81,358
| align="right" |36.1
| align="right" |24.9
| align="right" |11.2
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.91
|-
|1907
| align="right" |
| align="right" |261,231
| align="right" |180,216
| align="right" |81,015
| align="right" |36.2
| align="right" |25.6
| align="right" |10.6
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.85
|-
|1908
| align="right" |
| align="right" |268,637
| align="right" |177,872
| align="right" |90,765
| align="right" |36.7
| align="right" |25.0
| align="right" |11.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.79
|-
|1909
| align="right" |
| align="right" |271,177
| align="right" |184,445
| align="right" |86,732
| align="right" |37.1
| align="right" |25.4
| align="right" |11.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.73
|-
|1910
| align="right" |7,612,000
| align="right" |265,457
| align="right" |168,875
| align="right" |96,582
| align="right" |35.4
| align="right" |23.4
| align="right" |12.0
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.67
|-
|1911
| align="right" |
| align="right" |261,375
| align="right" |184,009
| align="right" |77,366
| align="right" |34.8
| align="right" |24.8
| align="right" |10.0
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.59
|-
|1912
| align="right" |
| align="right" |270,804
| align="right" |172,148
| align="right" |98,656
| align="right" |36.0
| align="right" |23.0
| align="right" |13.0
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.50
|-
|1913
| align="right" |
| align="right" |264,418
| align="right" |174,241
| align="right" |90,177
| align="right" |34.3
| align="right" |23.2
| align="right" |11.1
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.42
|-
|1914
| align="right" |
| align="right" |270,690
| align="right" |176,574
| align="right" |94,116
| align="right" |34.5
| align="right" |23.4
| align="right" |11.1
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.34
|-
|1915
| align="right" |
| align="right" |187,734
| align="right" |189,418
| data-darkreader-inline-color="" style="color: red" align="right" | -1,684
| align="right" |23.7
| align="right" |25.3
| data-darkreader-inline-color="" style="color: red" align="right" | -1.6
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.26
|-
|1916
| align="right" |
| align="right" |135,443
| align="right" |159,810
| data-darkreader-inline-color="" style="color: red" align="right" | -24,367
| align="right" |16.8
| align="right" |20.9
| data-darkreader-inline-color="" style="color: red" align="right" | -4.1
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.17
|-
|1917
| align="right" |
| align="right" |130,817
| align="right" |163,507
| data-darkreader-inline-color="" style="color: red" align="right" | -32,690
| align="right" |16.0
| align="right" |20.7
| data-darkreader-inline-color="" style="color: red" align="right" | -4.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.09
|-
|1918
| align="right" |
| align="right" |127,894
| align="right" |207,395
| data-darkreader-inline-color="" style="color: red" align="right" | -79,501
| align="right" |15.3
| align="right" |25.7
| data-darkreader-inline-color="" style="color: red" align="right" | -10.4
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.01
|-
|1919
| align="right" |7,860,000
| align="right" |217,431
| align="right" |157,392
| align="right" |60,039
| align="right" |27.6
| align="right" |20.0
| align="right" |7.6
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.93
|-
|1920
| align="right" |7,940,000
| align="right" |249,458
| align="right" |169,717
| align="right" |79,741
| align="right" |31.4
| align="right" |21.4
| align="right" |10.0
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.84
|-
|1921
| align="right" |8,020,000
| align="right" |255,453
| align="right" |170,059
| align="right" |85,394
| align="right" |31.8
| align="right" |21.2
| align="right" |10.6
| data-darkreader-inline-color="" style="color: blue" align="right" |3.81
|-
|1922
| align="right" |8,080,000
| align="right" |249,279
| align="right" |173,351
| align="right" |75,928
| align="right" |30.8
| align="right" |21.4
| align="right" |9.4
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.60
|-
|1923
| align="right" |8,170,000
| align="right" |238,971
| align="right" |159,287
| align="right" |79,684
| align="right" |29.2
| align="right" |19.5
| align="right" |9.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.39
|-
|1924
| align="right" |8,220,000
| align="right" |221,462
| align="right" |167,668
| align="right" |53,794
| align="right" |26.9
| align="right" |20.4
| align="right" |6.5
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.18
|-
|1925
| align="right" |8,300,000
| align="right" |235,480
| align="right" |142,150
| align="right" |93,330
| align="right" |28.3
| align="right" |17.1
| align="right" |11.2
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.36
|-
|1926
| align="right" |8,370,000
| align="right" |229,484
| align="right" |139,905
| align="right" |89,579
| align="right" |27.4
| align="right" |16.7
| align="right" |10.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.24
|-
|1927
| align="right" |8,490,000
| align="right" |218,548
| align="right" |150,675
| align="right" |67,873
| align="right" |25.8
| align="right" |17.8
| align="right" |8.0
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.05
|-
|1928
| align="right" |8,510,000
| align="right" |224,693
| align="right" |146,496
| align="right" |78,197
| align="right" |26.4
| align="right" |17.2
| align="right" |9.2
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.08
|-
|1929
| align="right" |8,580,000
| align="right" |215,463
| align="right" |152,847
| align="right" |62,976
| align="right" |25.1
| align="right" |17.8
| align="right" |7.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.92
|-
|1930
| align="right" |8,660,000
| align="right" |219,784
| align="right" |134,341
| align="right" |85,443
| align="right" |25.4
| align="right" |15.5
| align="right" |9.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.84
|-
|1931
| align="right" |8,730,000
| align="right" |206,925
| align="right" |144,968
| align="right" |61,957
| align="right" |23.7
| align="right" |16.6
| align="right" |7.1
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.84
|-
|1932
| align="right" |8,783,000
| align="right" |205,529
| align="right" |157,106
| align="right" |48,423
| align="right" |23.4
| align="right" |17.9
| align="right" |5.5
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.78
|-
|1933
| align="right" |8,845,000
| align="right" |193,911
| align="right" |129,913
| align="right" |63,998
| align="right" |21.9
| align="right" |14.7
| align="right" |7.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.72
|-
|1934
| align="right" |8,915,000
| align="right" |194,279
| align="right" |129,049
| align="right" |65,230
| align="right" |21.8
| align="right" |14.5
| align="right" |7.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.57
|-
|1935
| align="right" |8,980,000
| align="right" |189,479
| align="right" |136,923
| align="right" |52,556
| align="right" |21.1
| align="right" |15.2
| align="right" |5.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.55
|-
|1936
| align="right" |9,040,000
| align="right" |183,369
| align="right" |128,333
| align="right" |55,036
| align="right" |20.3
| align="right" |14.2
| align="right" |6.1
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.48
|-
|1937
| align="right" |9,100,000
| align="right" |182,449
| align="right" |128,049
| align="right" |54,400
| align="right" |20.0
| align="right" |14.1
| align="right" |6.0
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.42
|-
|1938
| align="right" |9,159,000
| align="right" |182,206
| align="right" |130,628
| align="right" |51,578
| align="right" |19.9
| align="right" |14.3
| align="right" |5.6
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.46
|-
|1939
| align="right" |9,217,000
| align="right" |178,633
| align="right" |124,591
| align="right" |54,042
| align="right" |19.4
| align="right" |13.5
| align="right" |5.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.50
|-
|1940
| align="right" |9,280,000
| align="right" |185,562
| align="right" |132,735
| align="right" |52,827
| align="right" |20.0
| align="right" |14.3
| align="right" |5.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.48
|-
|1941
| align="right" |9,340,000
| align="right" |177,047
| align="right" |123,349
| align="right" |53,698
| align="right" |19.0
| align="right" |13.2
| align="right" |5.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.52
|-
|1942
| align="right" |9,392,000
| align="right" |187,187
| align="right" |136,844
| align="right" |50,343
| align="right" |19.9
| align="right" |14.6
| align="right" |5.4
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.55
|-
|1943
| align="right" |9,440,000
| align="right" |173,295
| align="right" |127,158
| align="right" |46,137
| align="right" |18.4
| align="right" |13.5
| align="right" |4.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.55
|-
|1944
| align="right" |9,250,000
| align="right" |190,000
| align="right" |144,048
| align="right" |45,952
| align="right" |20.5
| align="right" |15.6
| align="right" |5.0
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.61
|-
|1945
| align="right" |9,055,000
| align="right" |169,091
| align="right" |211,323
| data-darkreader-inline-color="" style="color: red" align="right" | -42,232
| align="right" |18.7
| align="right" |23.3
| data-darkreader-inline-color="" style="color: red" align="right" | -4.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.64
|-
|1946
| align="right" |9,042,000
| align="right" |169,120
| align="right" |135,486
| align="right" |33,634
| align="right" |18.7
| align="right" |15.0
| align="right" |3.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.67
|-
|1947
| align="right" |9,093,000
| align="right" |187,316
| align="right" |117,537
| align="right" |69,779
| align="right" |20.6
| align="right" |12.9
| align="right" |7.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.70
|-
|1948
| align="right" |9,158,000
| align="right" |191,907
| align="right" |105,780
| align="right" |86,127
| align="right" |21.0
| align="right" |11.6
| align="right" |9.4
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.73
|-
|1949
| align="right" |9,249,000
| align="right" |190,398
| align="right" |105,718
| align="right" |84,680
| align="right" |20.6
| align="right" |11.4
| align="right" |9.2
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.76
|-
|1950
| align="right" |9,338,000
| align="right" |195,567
| align="right" |106,902
| align="right" |88,665
| align="right" |20.9
| align="right" |11.4
| align="right" |9.5
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.77
|-
|1951
| align="right" |9,423,000
| align="right" |190,645
| align="right" |109,998
| align="right" |80,647
| align="right" |20.2
| align="right" |11.7
| align="right" |8.6
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.76
|-
|1952
| align="right" |9,504,000
| align="right" |185,820
| align="right" |107,443
| align="right" |78,377
| align="right" |19.6
| align="right" |11.3
| align="right" |8.2
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.72
|-
|1953
| align="right" |9,595,000
| align="right" |206,926
| align="right" |112,039
| align="right" |94,887
| align="right" |21.6
| align="right" |11.7
| align="right" |9.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.67
|-
|1954
| align="right" |9,706,000
| align="right" |223,347
| align="right" |106,670
| align="right" |116,677
| align="right" |23.0
| align="right" |11.0
| align="right" |12.0
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.61
|-
|1955
| align="right" |9,825,000
| align="right" |210,430
| align="right" |97,848
| align="right" |112,582
| align="right" |21.4
| align="right" |10.0
| align="right" |11.5
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.53
|-
|1956
| align="right" |9,911,000
| align="right" |192,810
| align="right" |104,236
| align="right" |88,574
| align="right" |19.5
| align="right" |10.5
| align="right" |8.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.44
|-
|1957
| align="right" |9,840,000
| align="right" |167,202
| align="right" |103,645
| align="right" |63,557
| align="right" |17.0
| align="right" |10.5
| align="right" |6.5
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.34
|-
|1958
| align="right" |9,882,000
| align="right" |158,428
| align="right" |97,866
| align="right" |60,562
| align="right" |16.0
| align="right" |9.9
| align="right" |6.1
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.23
|-
|1959
| align="right" |9,937,000
| align="right" |151,194
| align="right" |103,880
| align="right" |47,314
| align="right" |15.2
| align="right" |10.5
| align="right" |4.8
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |2.12
|-
|1960
| align="right" |9,983,512
| align="right" |146,461
| align="right" |101,525
| align="right" |44,936
| align="right" |14.7
| align="right" |10.2
| align="right" |4.5
| align="right" |2.02
|-
|1961
| align="right" |10,027,958
| align="right" |140,365
| align="right" |96,410
| align="right" |43,955
| align="right" |14.0
| align="right" |9.6
| align="right" |4.4
| align="right" |1.94
|-
|1962
| align="right" |10,060,825
| align="right" |130,053
| align="right" |108,273
| align="right" |21,780
| align="right" |12.9
| align="right" |10.8
| align="right" |2.2
| align="right" |1.79
|-
|1963
| align="right" |10,087,947
| align="right" |132,335
| align="right" |99,871
| align="right" |32,464
| align="right" |13.1
| align="right" |9.9
| align="right" |3.2
| align="right" |1.82
|-
|1964
| align="right" |10,119,835
| align="right" |132,141
| align="right" |100,830
| align="right" |31,311
| align="right" |13.1
| align="right" |10.0
| align="right" |3.1
| align="right" |1.81
|-
|1965
| align="right" |10,147,935
| align="right" |133,009
| align="right" |108,119
| align="right" |24,890
| align="right" |13.1
| align="right" |10.7
| align="right" |2.5
| align="right" |1.82
|-
|1966
| align="right" |10,178,653
| align="right" |138,489
| align="right" |101,943
| align="right" |36,546
| align="right" |13.6
| align="right" |10.0
| align="right" |3.6
| align="right" |1.89
|-
|1967
| align="right" |10,216,604
| align="right" |148,886
| align="right" |109,530
| align="right" |39,356
| align="right" |14.6
| align="right" |10.7
| align="right" |3.9
| align="right" |2.01
|-
|1968
| align="right" |10,255,815
| align="right" |154,419
| align="right" |115,354
| align="right" |39,065
| align="right" |15.1
| align="right" |11.2
| align="right" |3.8
| align="right" |2.06
|-
|1969
| align="right" |10,298,723
| align="right" |154,318
| align="right" |116,659
| align="right" |37,659
| align="right" |15.0
| align="right" |11.3
| align="right" |3.7
| align="right" |2.03
|-
|1970
| align="right" |10,337,910
| align="right" |151,819
| align="right" |120,197
| align="right" |31,622
| align="right" |14.7
| align="right" |11.6
| align="right" |3.1
| align="right" |1.98
|-
|1971
| align="right" |10,367,537
| align="right" |150,640
| align="right" |123,009
| align="right" |27,631
| align="right" |14.5
| align="right" |11.9
| align="right" |2.7
| align="right" |1.93
|-
|1972
| align="right" |10,398,489
| align="right" |153,265
| align="right" |118,991
| align="right" |34,274
| align="right" |14.7
| align="right" |11.4
| align="right" |3.3
| align="right" |1.92
|-
|1973
| align="right" |10,432,055
| align="right" |156,224
| align="right" |123,366
| align="right" |32,858
| align="right" |15.0
| align="right" |11.8
| align="right" |3.1
| align="right" |1.93
|-
|1974
| align="right" |10,478,720
| align="right" |186,288
| align="right" |125,816
| align="right" |60,472
| align="right" |17.8
| align="right" |12.0
| align="right" |5.8
| data-darkreader-inline-color="" style="color: blue" align="right" |2.27
|-
|1975
| align="right" |10,540,525
| align="right" |194,240
| align="right" |131,102
| align="right" |63,138
| align="right" |18.4
| align="right" |12.4
| align="right" |6.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.34
|-
|1976
| align="right" |10,598,677
| align="right" |185,405
| align="right" |132,240
| align="right" |53,165
| align="right" |17.5
| align="right" |12.5
| align="right" |5.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.23
|-
|1977
| align="right" |10,648,031
| align="right" |177,574
| align="right" |132,031
| align="right" |45,543
| align="right" |16.7
| align="right" |12.4
| align="right" |4.3
| data-darkreader-inline-color="" style="color: blue" align="right" |2.15
|-
|1978
| align="right" |10,684,822
| align="right" |168,160
| align="right" |140,121
| align="right" |28,039
| align="right" |15.7
| align="right" |13.1
| align="right" |2.6
| align="right" |2.06
|-
|1979
| align="right" |10,704,152
| align="right" |160,364
| align="right" |136,829
| align="right" |23,535
| align="right" |15.0
| align="right" |12.8
| align="right" |2.2
| align="right" |2.00
|-
|1980
| align="right" |10,711,122
| align="right" |148,673
| align="right" |145,355
| align="right" |3,318
| align="right" |13.9
| align="right" |13.6
| align="right" |0.3
| align="right" |1.91
|-
|1981
| align="right" |10,711,848
| align="right" |142,890
| align="right" |144,757
| data-darkreader-inline-color="" style="color: red" align="right" | -1,867
| align="right" |13.3
| align="right" |13.5
| data-darkreader-inline-color="" style="color: red" align="right" | -0.2
| align="right" |1.87
|-
|1982
| align="right" |10,705,535
| align="right" |133,559
| align="right" |144,318
| data-darkreader-inline-color="" style="color: red" align="right" | -10,759
| align="right" |12.5
| align="right" |13.5
| data-darkreader-inline-color="" style="color: red" align="right" | -1.0
| align="right" |1.79
|-
|1983
| align="right" |10,689,463
| align="right" |127,258
| align="right" |148,643
| data-darkreader-inline-color="" style="color: red" align="right" | -21,385
| align="right" |11.9
| align="right" |13.9
| data-darkreader-inline-color="" style="color: red" align="right" | -2.0
| align="right" |1.74
|-
|1984
| align="right" |10,668,095
| align="right" |125,359
| align="right" |146,709
| data-darkreader-inline-color="" style="color: red" align="right" | -21,350
| align="right" |11.8
| align="right" |13.8
| data-darkreader-inline-color="" style="color: red" align="right" | -2.0
| align="right" |1.75
|-
|1985
| align="right" |10,648,713
| align="right" |130,200
| align="right" |147,614
| data-darkreader-inline-color="" style="color: red" align="right" | -17,414
| align="right" |12.2
| align="right" |13.9
| data-darkreader-inline-color="" style="color: red" align="right" | -1.6
| align="right" |1.85
|-
|1986
| align="right" |10,630,564
| align="right" |128,204
| align="right" |147,089
| data-darkreader-inline-color="" style="color: red" align="right" | -18,885
| align="right" |12.1
| align="right" |13.8
| data-darkreader-inline-color="" style="color: red" align="right" | -1.8
| align="right" |1.84
|-
|1987
| align="right" |10,612,741
| align="right" |125,840
| align="right" |142,601
| data-darkreader-inline-color="" style="color: red" align="right" | -16,761
| align="right" |11.9
| align="right" |13.4
| data-darkreader-inline-color="" style="color: red" align="right" | -1.6
| align="right" |1.82
|-
|1988
| align="right" |10,596,487
| align="right" |124,296
| align="right" |140,042
| data-darkreader-inline-color="" style="color: red" align="right" | -15,746
| align="right" |11.7
| align="right" |13.2
| data-darkreader-inline-color="" style="color: red" align="right" | -1.5
| align="right" |1.81
|-
|1989
| align="right" |10,481,719
| align="right" |123,304
| align="right" |144,695
| data-darkreader-inline-color="" style="color: red" align="right" | -21,391
| align="right" |11.8
| align="right" |13.8
| data-darkreader-inline-color="" style="color: red" align="right" | -2.0
| align="right" |1.80
|-
|1990
| align="right" |10,373,988
| align="right" |125,679
| align="right" |145,660
| data-darkreader-inline-color="" style="color: red" align="right" | -19,981
| align="right" |12.1
| align="right" |14.0
| data-darkreader-inline-color="" style="color: red" align="right" | -1.9
| align="right" |1.87
|-
|1991
| align="right" |10,373,400
| align="right" |127,207
| align="right" |144,813
| data-darkreader-inline-color="" style="color: red" align="right" | -17,606
| align="right" |12.3
| align="right" |14.0
| data-darkreader-inline-color="" style="color: red" align="right" | -1.7
| align="right" |1.88
|-
|1992
| align="right" |10,369,341
| align="right" |121,724
| align="right" |148,781
| data-darkreader-inline-color="" style="color: red" align="right" | -27,057
| align="right" |11.7
| align="right" |14.3
| data-darkreader-inline-color="" style="color: red" align="right" | -2.6
| align="right" |1.78
|-
|1993
| align="right" |10,357,523
| align="right" |117,033
| align="right" |150,244
| data-darkreader-inline-color="" style="color: red" align="right" | -33,211
| align="right" |11.3
| align="right" |14.5
| data-darkreader-inline-color="" style="color: red" align="right" | -3.2
| align="right" |1.69
|-
|1994
| align="right" |10,343,355
| align="right" |115,598
| align="right" |146,889
| data-darkreader-inline-color="" style="color: red" align="right" | -31,291
| align="right" |11.2
| align="right" |14.2
| data-darkreader-inline-color="" style="color: red" align="right" | -3.0
| align="right" |1.64
|-
|1995
| align="right" |10,328,965
| align="right" |112,054
| align="right" |145,431
| data-darkreader-inline-color="" style="color: red" align="right" | -33,377
| align="right" |10.8
| align="right" |14.1
| data-darkreader-inline-color="" style="color: red" align="right" | -3.2
| align="right" |1.57
|-
|1996
| align="right" |10,311,238
| align="right" |105,272
| align="right" |143,130
| data-darkreader-inline-color="" style="color: red" align="right" | -37,858
| align="right" |10.2
| align="right" |13.9
| data-darkreader-inline-color="" style="color: red" align="right" | -3.7
| align="right" |1.46
|-
|1997
| align="right" |10,290,486
| align="right" |100,350
| align="right" |139,434
| data-darkreader-inline-color="" style="color: red" align="right" | -39,084
| align="right" |9.8
| align="right" |13.5
| data-darkreader-inline-color="" style="color: red" align="right" | -3.8
| align="right" |1.38
|-
|1998
| align="right" |10,266,570
| align="right" |97,301
| align="right" |140,870
| data-darkreader-inline-color="" style="color: red" align="right" | -43,569
| align="right" |9.5
| align="right" |13.7
| data-darkreader-inline-color="" style="color: red" align="right" | -4.2
| align="right" |1.32
|-
|1999
| align="right" |10,237,530
| align="right" |94,645
| align="right" |143,210
| data-darkreader-inline-color="" style="color: red" align="right" | -48,565
| align="right" |9.2
| align="right" |14.0
| data-darkreader-inline-color="" style="color: red" align="right" | -4.7
| align="right" |1.28
|-
|2000
| align="right" |10,210,971
| align="right" |97,597
| align="right" |135,601
| data-darkreader-inline-color="" style="color: red" align="right" | -38,004
| align="right" |9.6
| align="right" |13.3
| data-darkreader-inline-color="" style="color: red" align="right" | -3.7
| align="right" |1.32
|-
|2001
| align="right" |10,187,576
| align="right" |97,047
| align="right" |132,183
| data-darkreader-inline-color="" style="color: red" align="right" | -35,136
| align="right" |9.5
| align="right" |13.0
| data-darkreader-inline-color="" style="color: red" align="right" | -3.4
| align="right" |1.31
|-
|2002
| align="right" |10,158,608
| align="right" |96,804
| align="right" |132,833
| data-darkreader-inline-color="" style="color: red" align="right" | -36,029
| align="right" |9.5
| align="right" |13.1
| data-darkreader-inline-color="" style="color: red" align="right" | -3.5
| align="right" |1.30
|-
|2003
| align="right" |10,129,552
| align="right" |94,647
| align="right" |135,823
| data-darkreader-inline-color="" style="color: red" align="right" | -41,176
| align="right" |9.3
| align="right" |13.4
| data-darkreader-inline-color="" style="color: red" align="right" | -4.1
| align="right" |1.27
|-
|2004
| align="right" |10,107,146
| align="right" |95,137
| align="right" |132,492
| data-darkreader-inline-color="" style="color: red" align="right" | -37,355
| align="right" |9.4
| align="right" |13.1
| data-darkreader-inline-color="" style="color: red" align="right" | -3.7
| align="right" |1.27
|-
|2005
| align="right" |10,087,065
| align="right" |97,496
| align="right" |135,732
| data-darkreader-inline-color="" style="color: red" align="right" | -38,236
| align="right" |9.7
| align="right" |13.5
| data-darkreader-inline-color="" style="color: red" align="right" | -3.8
| align="right" |1.30
|-
|2006
| align="right" |10,071,370
| align="right" |99,871
| align="right" |131,603
| data-darkreader-inline-color="" style="color: red" align="right" | -31,732
| align="right" |9.9
| align="right" |13.1
| data-darkreader-inline-color="" style="color: red" align="right" | -3.2
| align="right" |1.34
|-
|2007
| align="right" |10,055,780
| align="right" |97,613
| align="right" |132,938
| data-darkreader-inline-color="" style="color: red" align="right" | -35,325
| align="right" |9.7
| align="right" |13.2
| data-darkreader-inline-color="" style="color: red" align="right" | -3.5
| align="right" |1.31
|-
|2008
| align="right" |10,038,188
| align="right" |99,149
| align="right" |130,027
| data-darkreader-inline-color="" style="color: red" align="right" | -30,878
| align="right" |9.9
| align="right" |13.0
| data-darkreader-inline-color="" style="color: red" align="right" | -3.1
| align="right" |1.35
|-
|2009
| align="right" |10,022,650
| align="right" |96,442
| align="right" |130,414
| data-darkreader-inline-color="" style="color: red" align="right" | -33,972
| align="right" |9.6
| align="right" |13.0
| data-darkreader-inline-color="" style="color: red" align="right" | -3.4
| align="right" |1.32
|-
|2010
| align="right" |10,000,023
| align="right" |90,335
| align="right" |130,456
| data-darkreader-inline-color="" style="color: red" align="right" | -40,121
| align="right" |9.0
| align="right" |13.0
| data-darkreader-inline-color="" style="color: red" align="right" | -4.0
| align="right" |1.25
|-
|2011
| align="right" |9,971,727
| align="right" |88,049
| align="right" |128,795
| data-darkreader-inline-color="" style="color: red" align="right" | -40,746
| align="right" |8.8
| align="right" |12.9
| data-darkreader-inline-color="" style="color: red" align="right" | -4.1
| data-darkreader-inline-color="" style="color: red" align="right" |1.23
|-
|2012
| align="right" |9,920,362
| align="right" |90,269
| align="right" |129,440
| data-darkreader-inline-color="" style="color: red" align="right" | -39,171
| align="right" |9.1
| align="right" |13.0
| data-darkreader-inline-color="" style="color: red" align="right" | -3.9
| align="right" |1.34
|-
|2013
| align="right" |9,893,082
| align="right" |88,689
| align="right" |126,778
| data-darkreader-inline-color="" style="color: red" align="right" | -38,089
| align="right" |9.0
| align="right" |12.8
| data-darkreader-inline-color="" style="color: red" align="right" | -3.9
| align="right" |1.34
|-
|2014
| align="right" |9,866,468
| align="right" |91,510
| align="right" |126,308
| data-darkreader-inline-color="" style="color: red" align="right" | -34,798
| align="right" |9.3
| align="right" |12.8
| data-darkreader-inline-color="" style="color: red" align="right" | -3.5
| align="right" |1.41
|-
|2015
| align="right" |9,843,028
| align="right" |91,690
| align="right" |131,697
| data-darkreader-inline-color="" style="color: red" align="right" | -40,007
| align="right" |9.3
| align="right" |13.4
| data-darkreader-inline-color="" style="color: red" align="right" | -4.1
| align="right" |1.44
|-
|2016
| align="right" |9,814,023
| align="right" |93,063
| align="right" |127,053
| data-darkreader-inline-color="" style="color: red" align="right" | -33,990
| align="right" |9.5
| align="right" |12.9
| data-darkreader-inline-color="" style="color: red" align="right" | -3.5
| align="right" |1.49
|-
|2017
| align="right" |9,787,966
| align="right" |91,577
| align="right" |131,674
| data-darkreader-inline-color="" style="color: red" align="right" | -40,097
| align="right" |9.4
| align="right" |13.5
| data-darkreader-inline-color="" style="color: red" align="right" | -4.1
| align="right" |1.49
|-
|2018
| align="right" |9,775,564
| align="right" |89,807
| align="right" |131,045
| data-darkreader-inline-color="" style="color: red" align="right" | -41,238
| align="right" |9.2
| align="right" |13.4
| data-darkreader-inline-color="" style="color: red" align="right" | -4.2
| align="right" |1.49
|-
|2019
| align="right" |9,771,141
| align="right" |89,193
| align="right" |129,603
| data-darkreader-inline-color="" style="color: red" align="right" | -40,410
| align="right" |9.1
| align="right" |13.3
| data-darkreader-inline-color="" style="color: red" align="right" | -4.1
| align="right" |1.49
|-
|2020
| align="right" |9,750,149
| align="right" |92,338
| align="right" |141,002
| data-darkreader-inline-color="" style="color: red" align="right" | -48,664
| align="right" |9.5
| align="right" |14.5
| data-darkreader-inline-color="" style="color: red" align="right" | -5.0
| align="right" |1.56
|}
[[파일:Hungary_total_fertility_rate_by_region_2014.png|섬네일|헝가리 지역별 출산율 (2014)
{| width="100%"
| valign="right" |{{범례|#80ff7f|1.7 - 1.9}} {{범례|#ffff7f|1.5 - 1.7}} {{범례|#ffbf3f|1.4 - 1.5}} {{범례|#ff7f7e|1.3 - 1.4}} {{범례|#ff3e3e|< 1.3}}
|}
]]
=== 1950-현재 출생시 기대수명 ===
{| class="wikitable" style="text-align: center;"
!기간
!기대수명<ref>{{웹 인용|url=https://esa.un.org/unpd/wpp/DataQuery/|title=World Population Prospects - Population Division - United Nations|website=esa.un.org|access-date=2018-08-26}}</ref>
|-
|1950–1955
|64.01
|-
|1955–1960
|{{증가}} 66.91
|-
|1960–1965
|{{증가}} 68.79
|-
|1965–1970
|{{증가}} 69.45
|-
|1970–1975
|{{감소}} 69.41
|-
|1975–1980
|{{증가}} 69.59
|-
|1980–1985
|{{감소}} 69.08
|-
|1985–1990
|{{증가}} 69.42
|-
|1990–1995
|{{감소}} 69.41
|-
|1995–2000
|{{증가}} 70.88
|-
|2000–2005
|{{증가}} 72.54
|-
|2005–2010
|{{증가}} 73.74
|-
|2010–2015
|{{증가}} 75.26
|-
|2015–2020
|{{증가}} 76.65
|}

== 같이 보기 ==
* [[헝가리의 역사]]
== 각주 ==
{{각주}}

[[분류:헝가리의 인구| ]]
[[분류:헝가리의 사회]]