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Demographics of Peru
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==Population size and structure== According to {{UN_Population|source}} the total population was {{UN_Population|Peru}} in {{UN_Population|Year}}, compared to only 7,728,000 in 1950. The proportion of children below the age of 15 in 2010 was 27.9%, 65.3% were between 15 and 65 years of age, while 6.8% were 65 years or older.<ref name="WPP 2015">{{cite web|url=http://esa.un.org/unpd/wpp/|title=World Population Prospects - Population Division - United Nations|website=esa.un.org|access-date=October 4, 2017}}</ref> {| class="wikitable" style="text-align: right;" |- !rowspan=2| !rowspan=2|Total population<br>({{times}}1000) !colspan=3|Population percentage |- ! aged 0–14 ! aged 15–64 ! aged 65+ |- | 1950 |{{val|7728}} |{{percentage bar|41.6}} |{{percentage bar|55.0}} |{{percentage bar|3.5}} |- | 1955 |{{val|8787}} |{{percentage bar|42.1}} |{{percentage bar|54.5}} |{{percentage bar|3.4}} |- | 1960 |{{val|10062}} |{{percentage bar|43.0}} |{{percentage bar|53.6}} |{{percentage bar|3.5}} |- | 1965 |{{val|11608}} |{{percentage bar|43.9}} |{{percentage bar|52.5}} |{{percentage bar|3.5}} |- | 1970 |{{val|13341}} |{{percentage bar|43.8}} |{{percentage bar|52.6}} |{{percentage bar|3.5}} |- | 1975 |{{val|15230}} |{{percentage bar|43.1}} |{{percentage bar|53.3}} |{{percentage bar|3.6}} |- | 1980 |{{val|17359}} |{{percentage bar|41.8}} |{{percentage bar|54.5}} |{{percentage bar|3.7}} |- | 1985 |{{val|19545}} |{{percentage bar|40.3}} |{{percentage bar|55.9}} |{{percentage bar|3.8}} |- | 1990 |{{val|21827}} |{{percentage bar|38.5}} |{{percentage bar|57.5}} |{{percentage bar|4.0}} |- | 1995 |{{val|24039}} |{{percentage bar|36.3}} |{{percentage bar|59.3}} |{{percentage bar|4.4}} |- | 2000 |{{val|25915}} |{{percentage bar|34.3}} |{{percentage bar|60.8}} |{{percentage bar|4.9}} |- | 2005 |{{val|27610}} |{{percentage bar|31.6}} |{{percentage bar|62.8}} |{{percentage bar|5.6}} |- | 2010 |{{val|29374}} |{{percentage bar|29.3}} |{{percentage bar|64.5}} |{{percentage bar|6.2}} |- | 2015 |{{val|31115}} |{{percentage bar|27.9}} |{{percentage bar|65.3}} |{{percentage bar|6.8}} |- | 2020 |{{val|32950}} |{{percentage bar|25.7}} |{{percentage bar|65.4}} |{{percentage bar|6.7}} |} {{GraphChart | width = 400 | height = 150 | xAxisTitle=year | yAxisTitle= million | yAxisMin= | yGrid= 0,1 | xGrid= 10 | legend= | type = line | x =2000,2001,2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 | y1= 26.0, 26.4, 26.7, 27.1, 27.5, 27.8, 28.2, 28.5, 28.8, 29.1, 29.5, 29.8, 30.1, 30.5, 30.8, 31.2, 31.5, 31.8, 32.2, 32.5, 32.8 | y1Title= population (million) }} {{GraphChart | width = 320 | height = 150 | xAxisTitle=years | yAxisTitle= ‰ | yAxisMin= | yGrid= 0,1 | xGrid= 10 | hAnnotatonsLine= | hAnnotatonsLabel= | legend= | type = line | x = 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 | y1= 18.3, 18.9, 19.5, 19.8, 18.9, 18.0, 22.7, 19.2, 17.8, 17.4, 16.6, 15.3, 14.5, 14.0, 13.0, 5.5 | y1Title=Natural change (per 1000) }} {{GraphChart | width = 400 | height = 150 | xAxisTitle=years | yAxisTitle= TFR | yAxisMin= | yGrid= 0,1 | xGrid= 10 | hAnnotatonsLine=2.1 | hAnnotatonsLabel= | legend= | type = line | x = 2000,2001,2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 | y1= 2.90, , , , 2.56, 2.56, 2.56, 2.56, , 2.60, 2.50, 2.60, 2.60, 2.40, 2.50, 2.50,2.50, 2.40, 2.20, 2.00, 1.90, | y1Title=Total Fertility Rate }} [[File:Peru - Population by region or department (2007).svg|thumb|right|250px|Population map of Peru in 2007 (regional)]] === Structure of the population === {{Hidden begin |title= Population Estimates by Sex and Age Group (01.VII.2013) (Estimates based on the 2007 Population Census.):<ref>{{cite web|url=http://unstats.un.org/unsd/demographic/products/dyb/dyb2.htm|title=United Nations Statistics Division - Demographic and Social Statistics|website=unstats.un.org|access-date=October 4, 2017}}</ref> |titlestyle = background:#EEBC35; }} {| class="wikitable" |- ! width="80pt" |Age Group ! width="80pt" |Male ! width="80pt" |Female ! width="80pt" |Total ! width="80pt" |% |- | align="right" | Total | align="right" | 15 271 062 | align="right" | 15 204 082 | align="right" | 30 475 144 | align="right" | 100 |- | align="right" | 0-4 | align="right" | 1 480 990 | align="right" | 1 421 071 | align="right" | 2 902 061 | align="right" | 9.52 |- | align="right" | 5-9 | align="right" | 1 494 879 | align="right" | 1 439 049 | align="right" | 2 933 928 | align="right" | 9.63 |- | align="right" | 10-14 | align="right" | 1 484 138 | align="right" | 1 434 336 | align="right" | 2 918 474 | align="right" | 9.58 |- | align="right" | 15-19 | align="right" | 1 468 223 | align="right" | 1 425 272 | align="right" | 2 893 495 | align="right" | 9.49 |- | align="right" | 20-24 | align="right" | 1 416 897 | align="right" | 1 382 963 | align="right" | 2 799 860 | align="right" | 9.19 |- | align="right" | 25-29 | align="right" | 1 306 593 | align="right" | 1 283 240 | align="right" | 2 589 833 | align="right" | 8.50 |- | align="right" | 30-34 | align="right" | 1 195 857 | align="right" | 1 179 479 | align="right" | 2 375 336 | align="right" | 7.79 |- | align="right" | 35-39 | align="right" | 1 093 901 | align="right" | 1 083 633 | align="right" | 2 177 534 | align="right" | 7.15 |- | align="right" | 40-44 | align="right" | 949 209 | align="right" | 947 326 | align="right" | 1 896 535 | align="right" | 6.22 |- | align="right" | 45-49 | align="right" | 823 574 | align="right" | 829 474 | align="right" | 1 653 048 | align="right" | 5.42 |- | align="right" | 50-54 | align="right" | 691 250 | align="right" | 705 667 | align="right" | 1 396 917 | align="right" | 4.58 |- | align="right" | 55-59 | align="right" | 554 524 | align="right" | 576 245 | align="right" | 1 130 769 | align="right" | 3.71 |- | align="right" | 60-64 | align="right" | 436 614 | align="right" | 462 886 | align="right" | 899 500 | align="right" | 2.95 |- | align="right" | 65-69 | align="right" | 327 821 | align="right" | 357 853 | align="right" | 685 674 | align="right" | 2.25 |- | align="right" | 70-74 | align="right" | 240 978 | align="right" | 275 844 | align="right" | 516 822 | align="right" | 1.70 |- | align="right" | 75-79 | align="right" | 166 611 | align="right" | 204 668 | align="right" | 371 279 | align="right" | 1.22 |- | align="right" | 80+ | align="right" | 139 003 | align="right" | 195 076 | align="right" | 334 079 | align="right" | 1.10 |- ! width="50"|Age group ! width="80pt"|Male ! width="80"|Female ! width="80"|Total ! width="50"|Percent |- | align="right" | 0-14 | align="right" | 4 460 007 | align="right" | 4 294 456 | align="right" | 8 754 463 | align="right" | 28.73 |- | align="right" | 15-64 | align="right" | 9 936 642 | align="right" | 9 876 185 | align="right" | 19 812 827 | align="right" | 65.01 |- | align="right" | 65+ | align="right" | 874 413 | align="right" | 1 033 441 | align="right" | 1 907 854 | align="right" | 6.26 |- |} {{Hidden end}} {{Hidden begin |title= Population Estimates by Sex and Age Group (30.VI.2021) (Source: INEI – National population estimates and projections.):<ref>{{cite web | url=https://unstats.un.org/unsd/demographic-social/products/dyb/dyb_2021/ | title=UNSD — Demographic and Social Statistics }}</ref> |titlestyle = background:#EEBC35; }} {| class="wikitable" |- ! width="80pt"|Age Group ! width="80pt"|Male ! width="80pt"|Female ! width="80pt"|Total ! width="80pt"|% |- | align="right" | Total | align="right" | 16 394 177 | align="right" | 16 641 127 | align="right" | 33 035 304 | align="right" | 100 |- | align="right" | 0–4 | align="right" | 1 429 061 | align="right" | 1 363 558 | align="right" | 2 792 619 | align="right" | 8.45 |- | align="right" | 5–9 | align="right" | 1 313 359 | align="right" | 1 288 499 | align="right" | 2 601 858 | align="right" | 7.88 |- | align="right" | 10–14 | align="right" | 1 362 451 | align="right" | 1 350 040 | align="right" | 2 712 491 | align="right" | 8.21 |- | align="right" | 15–19 | align="right" | 1 228 918 | align="right" | 1 265 724 | align="right" | 2 494 642 | align="right" | 7.55 |- | align="right" | 20–24 | align="right" | 1 249 221 | align="right" | 1 402 839 | align="right" | 2 652 060 | align="right" | 8.03 |- | align="right" | 25–29 | align="right" | 1 330 977 | align="right" | 1 398 567 | align="right" | 2 729 544 | align="right" | 8.26 |- | align="right" | 30–34 | align="right" | 1 328 246 | align="right" | 1 292 197 | align="right" | 2 620 443 | align="right" | 7.93 |- | align="right" | 35–39 | align="right" | 1 262 203 | align="right" | 1 226 189 | align="right" | 2 488 392 | align="right" | 7.53 |- | align="right" | 40–44 | align="right" | 1 170 794 | align="right" | 1 121 022 | align="right" | 2 291 816 | align="right" | 6.94 |- | align="right" | 45–49 | align="right" | 992 814 | align="right" | 999 696 | align="right" | 1 992 510 | align="right" | 6.03 |- | align="right" | 50–54 | align="right" | 893 909 | align="right" | 901 725 | align="right" | 1 795 634 | align="right" | 5.44 |- | align="right" | 55–59 | align="right" | 783 444 | align="right" | 780 334 | align="right" | 1 563 778 | align="right" | 4.73 |- | align="right" | 60–64 | align="right" | 610 966 | align="right" | 645 359 | align="right" | 1 256 325 | align="right" | 3.80 |- | align="right" | 65-69 | align="right" | 503 321 | align="right" | 540 532 | align="right" | 1 043 853 | align="right" | 3.16 |- | align="right" | 70-74 | align="right" | 382 384 | align="right" | 395 713 | align="right" | 778 097 | align="right" | 2.36 |- | align="right" | 75-79 | align="right" | 258 224 | align="right" | 288 165 | align="right" | 546 389 | align="right" | 1.65 |- | align="right" | 80+ | align="right" | 293 885 | align="right" | 380 968 | align="right" | 674 853 | align="right" | 2.04 |- ! width="50"|Age group ! width="80pt"|Male ! width="80"|Female ! width="80"|Total ! width="50"|Percent |- | align="right" | 0–14 | align="right" | 4 104 871 | align="right" | 4 002 097 | align="right" | 8 106 968 | align="right" | 24.54 |- | align="right" | 15–64 | align="right" | 10 851 492 | align="right" | 11 033 652 | align="right" | 21 885 144 | align="right" | 66.25 |- | align="right" | 65+ | align="right" | 1 437 814 | align="right" | 1 605 378 | align="right" | 3 043 192 | align="right" | 9.21 |- |} {{Hidden end}} ===Metropolitan areas=== The [[metropolitan areas of Peru]] have been formed from the urban growth of Peruvian cities more populated and they are formed by the integration of two or more municipalities.<ref>{{cite web |url=http://www.inicam.org.pe/2006/descargar/planeamiento.PDF |title=Planeamiento Urbano – Perú: Áreas metropolitanas (Pag. 3) |url-status=dead |archive-url=https://web.archive.org/web/20140912234356/http://www.inicam.org.pe/2006/descargar/planeamiento.PDF |archive-date=September 12, 2014 |df=mdy }}</ref> The most populated Peruvian metropolises by districts are:<ref name= INEI>{{cite web|url=http://www.inei.gob.pe/biblioineipub/bancopub/Est/Lib0842/libro.pdf|title=Peru: Estimated population by sex according to Departamento, province and district 2012 -2015|website=Inie.gob.pe|access-date=September 20, 2012|language=es|archive-date=November 30, 2011|archive-url=https://web.archive.org/web/20111130121705/http://www.inei.gob.pe/biblioineipub/bancopub/Est/Lib0842/libro.pdf|url-status=dead}}</ref> [[Lima]],<ref>{{cite web|url=http://www.inei.gob.pe/biblioineipub/bancopub/Est/LIb0002/cap0103.htm|title=Lima metropolitan area|website=Inie.gob.pe|access-date=4 October 2017|archive-date=October 23, 2014|archive-url=https://web.archive.org/web/20141023152140/http://www.inei.gob.pe/biblioineipub/bancopub/Est/LIb0002/cap0103.htm|url-status=dead}}</ref> [[Trujillo, Peru|Trujillo]],<ref>{{cite web|url = http://www.plandet.gob.pe/images/PLANES_DE_ORDENAMIENTO_TERRITORIAL/DESCARGAS/PLAN_ACONDICIONAMIENTO_TERRITORIAL/PLAN_DE_DESARROLLO_METROPOLITANO_AL_2010.pdf|archive-url = https://web.archive.org/web/20150924074204/http://www.plandet.gob.pe/images/PLANES_DE_ORDENAMIENTO_TERRITORIAL/DESCARGAS/PLAN_ACONDICIONAMIENTO_TERRITORIAL/PLAN_DE_DESARROLLO_METROPOLITANO_AL_2010.pdf|url-status = dead|archive-date = 2015-09-24|title = Plan de desarrollo metropolitano de Trujillo – Plandemetru|editor = Plandemetru – Trujillo municipality}}</ref> [[Chiclayo]]<ref>{{cite web|url=http://www.munichiclayo.gob.pe/Municipalidad/Presentacion/Documentos/PDF_PDUA/PDUA_CAP_III_P2.pdf|title=MODERNIZACIÓN DE LA GESTIÓN DEL DESARROLLO URBANO DE LA PROVINCIA DE CHICLAYO|editor=Chiclayo municipality|website=Munichiclayo.gob.pe|access-date=4 October 2017|archive-date=May 18, 2012|archive-url=https://web.archive.org/web/20120518050418/http://www.munichiclayo.gob.pe/Municipalidad/Presentacion/Documentos/PDF_PDUA/PDUA_CAP_III_P2.pdf|url-status=dead}}</ref> and [[Arequipa]].<ref>{{cite web|url=http://www.caparequipa.org/attachments/324_Plan%20Director%20de%20Arequipa%20Metropolitana.pdf |title=Plan director de Arequipa |editor=Arequipa municipality |url-status=dead |archive-url=https://web.archive.org/web/20121116125127/http://www.caparequipa.org/attachments/324_Plan%20Director%20de%20Arequipa%20Metropolitana.pdf |archive-date=November 16, 2012 |df=mdy }}</ref>
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