View source for Medicine:Human body weight

{{short description|Person's mass or weight}}

'''Human body weight''' is a person's [[Physics:Mass versus weight|mass or weight]].

Strictly speaking, body weight is the measurement of [[Physics:Weight|weight]] without items located on the person. Practically though, body weight may be measured with clothes on, but without shoes or heavy accessories such as mobile phones and wallets, and using manual or digital [[Engineering:Weighing scale|weighing scales]]. Excess or reduced body weight is regarded as an indicator of determining a person's health, with body volume measurement providing an extra dimension by calculating the distribution of body weight.

Average adult human weight varies by continent, from about {{cvt|60|kg|lb}} in Asia and Africa to about {{cvt|80|kg|lb}} in North America, with men on average weighing more than women.

== Estimation in children ==
[[File:Broselowtape.JPG|thumb|An example of a half unfolded Broselow tape]]

There are a number of methods to estimate weight in children for circumstances (such as emergencies) when actual weight cannot be measured. Most involve a [[Social:Parent|parent]] or health care provider guessing the child's weight through weight-estimation formulas. These formulas base their findings on the child's age and tape-based systems of weight estimation. Of the many formulas that have been used for estimating body weight, some include the Advanced Pediatric Life Support formula, the Leffler formula, and Theron formula.<ref name=Ped09/> There are also several types of tape-based systems for estimating children's weight, with the best-known being the [[Medicine:Broselow tape|Broselow tape]].<ref>{{cite journal|last1=Lubitz|first1=Deborah|journal=Ann Emerg Med|year=1988|volume=17|issue=6|pmid=3377285|doi=10.1016/S0196-0644(88)80396-2|last2=Seidel|first2=JS|last3=Chameides|first3=L|last4=Luten|first4=RC|last5=Zaritsky|first5=AL|last6=Campbell|first6=FW|title=A rapid method for estimating weight and resuscitation drug dosages from length in the pediatric age group|pages=576–81}}</ref> The Broselow tape is based on length with weight read from the appropriate color area. Newer systems, such as the PAWPER tape, make use of a simple two-step process to estimate weight: the length-based weight estimation is modified according to the child's body [[Biology:Habit|habit]]us to increase the accuracy of the final weight prediction.<ref>{{cite journal
|last=Wells
|first=Mike
|journal=Sanguine
|year=2011
|volume=1
|issue=2
|title=Clinical: The PAWPER Tape
|url = http://www.ecssa.org.za/sanguine-2011-2.aspx#
|access-date=13 June 2013 <!--4 February 2012-->}}</ref>

The Leffler formula is used for children 0–10&nbsp;years of age.<ref name=Ped09/>  In those less than a year old, it is

<math>m = \tfrac{1}{2}a_m + 4</math>

and for those 1–10 years old, it is

<math>m = 2a_y + 10</math>

where ''m'' is the number of kilograms the child weighs and ''a<sub>m</sub>'' and ''a<sub>y</sub>'' respectively are the number of months or years old the child is.<ref name=Ped09/>

The Theron formula is

<math>m = e^{0.175571a_y + 2.197099}</math>

where ''m'' and ''a<sub>y</sub>'' are as above.<ref name=Ped09>{{cite journal |vauthors=So TY, Farrington E, Absher RK |title=Evaluation of the accuracy of different methods used to estimate weights in the pediatric population |journal=Pediatrics |volume=123 |issue=6 |pages=e1045–51 |date=June 2009 |pmid=19482737 |doi=10.1542/peds.2008-1968 |s2cid=6009482 }}</ref>

== Fluctuation ==
Body weight varies in small amounts throughout the day, as the amount of water in the body is not constant. It changes due to activities such as drinking, urinating, or exercise.<ref>{{cite web|last1=Smith|first1=Jessica|title=Stop Hating the Scale|url=http://www.shape.com/lifestyle/mind-and-body/when-your-weight-fluctuates-whats-normal-and-whats-not|website=Shape Magazine|access-date=23 January 2017|date=16 May 2013}}</ref> Professional sports participants may deliberately dehydrate themselves to enter a lower weight class, a practice known as weight cutting.<ref>{{cite web|last1=Lee|first1=Orion|title=Making Weight: Why Fighters Cut Weight and 3 Tips for Doing It|url=https://breakingmuscle.com/learn/making-weight-why-fighters-cut-weight-and-3-tips-for-doing-it|website=Breaking Muscle|date=4 August 2013 |access-date=23 January 2017}}</ref>

==Ideal body weight==
Ideal body weight (IBW) was initially introduced by Ben J. Devine in 1974 to allow estimation of drug [[Clearance (pharmacology)|clearances]] in obese patients;<ref>{{cite journal|last1=McCarron|first1=Margaret M.|last2=Devine|first2=Ben J.|title=Clinical Pharmacy: Case Studies: Case Number 25 Gentamicin Therapy |journal=Drug Intell Clin Pharm|date=November 1, 1974|volume=8|issue=11|pages=650–5|doi=10.1177/106002807400801104|s2cid=80397846}}<!--|access-date=6 April 2015--></ref> researchers have since shown that the [[Biology:Metabolism|metabolism]] of certain drugs relates more to IBW than total body weight.<ref name="IBW">{{cite journal|last=Pai|first=Manjunath P|author2=Paloucek, Frank P|title=The Origin of the "Ideal" Body Weight Equations|journal=The Annals of Pharmacotherapy|date=September 2000|volume=34|pages=1066–1069|doi=10.1345/aph.19381|pmid=10981254|issue=9|s2cid=6213850}}</ref> The term was based on the use of insurance data that demonstrated the relative mortality for males and females according to different height-weight combinations.

The most common estimation of IBW is by the Devine formula; other models exist and have been noted to give similar results.<ref name=IBW /> Other methods used in estimating the ideal body weight are [[Body mass index|body mass index]] and the Hamwi method. The IBW is not the perfect fat measurement, as it does not show the fat or muscle percentage in one's body. For example, athletes' results may show that they are overweight when they are actually very fit and healthy. Machines like the [[Medicine:Dual-energy X-ray absorptiometry|dual-energy X-ray absorptiometry]] can accurately measure the percentage and weight of fat, muscle, and bone in a body.

===Devine formula===
The Devine formula for calculating ideal body weight in adults is as follows:<ref name=IBW />
* Male ideal body weight = {{convert|50|kg}} + {{convert|0.9|kg}} × (height (cm) − 152)
* Female ideal body weight = {{convert|45.5|kg}} + {{convert|0.9|kg}} × (height (cm) − 152)

===Hamwi method===
The Hamwi method is used to calculate the ideal body weight of the general adult:<ref>{{cite book |title=Geriatric Nutrition Handbook|page=15|isbn=978-0412136412|last1=Bartlett|first1=Stephen|last2=Marian|first2=Mary|last3=Taren|first3=Douglas|last4=Muramoto|first4=Myra L.|date=30 November 1997|publisher=Jones & Bartlett Learning }}</ref>
* Male ideal body weight = {{convert|48|kg}} + {{convert|1.1|kg}} × (height (cm) − 152)
* Female ideal body weight = {{convert|45.4|kg}} + {{convert|0.9|kg}} × (height (cm) − 152)

==Usage==
===Sports===
Participants in sports such as boxing, mixed martial arts, wrestling, rowing, judo, sambo, Olympic weightlifting, and powerlifting are classified according to their body weight, measured in units of mass such as pounds or kilograms. See, e.g., wrestling weight classes, boxing weight classes, judo at the 2004 Summer Olympics, and boxing at the 2004 Summer Olympics.

===Medicine===
Ideal body weight, specifically the Devine formula, is used clinically for multiple reasons, most commonly in estimating renal function in drug dosing, and predicting [[Medicine:Pharmacokinetics|pharmacokinetics]] in morbidly obese patients.<ref>{{cite journal |pmc=3100285 |year=2011 |last1=Jones |first1=Graham RD |title= Estimating Renal Function for Drug Dosing Decisions |volume=32 |issue= 2 |pages=81–88 |journal=The Clinical Biochemist Reviews |pmid=21611081}}</ref><ref>{{cite journal|year=2011 |last1=van Kraligen |first1=S |last2=van de Garde |first2=EMW |last3=Knibbe |first3=CAJ |last4=Diepstraten |first4=J|last5=Wiezer |first5=MJ |last6=van Ramshorst |first6=B |last7=Dongen |first7=EPA |title= Comparative evaluation of atracurium dosed on ideal body weight vs. total body weight in morbidly obese patients |volume=71 |issue= 1|pages=34–40 |journal=British Journal of Clinical Pharmacology |doi=10.1111/j.1365-2125.2010.03803.x |pmid=21143499|pmc=3018024 }}</ref>

==Average weight around the world==
===By region===

Data from 2005:

{| class="wikitable sortable"
|-
!Region
!Adult population<br>(millions)
!Average weight
!Overweight population /<br> total population
!Source
|-
| [[Earth:Africa|Africa]] || 535 || {{convert|60.7|kg|abbr=on|1}} || 28.9% || <ref name="biomed"/>
|-
| [[Earth:Asia|Asia]] || 2,815 || {{convert|57.7|kg|abbr=on|1}} || 24.2% || <ref name="biomed">{{cite journal|title=The weight of nations: an estimation of adult human biomass|author=Walpole, Sarah C|publisher=BMC Public Health 2012, 12:439|doi=10.1186/1471-2458-12-439|date=18 June 2012|last2=Prieto-Merino|first2=David|last3=Edwards|first3=Phil|last4=Cleland|first4=John|last5=Stevens|first5=Gretchen|last6=Roberts|first6=Ian|journal=BMC Public Health|volume=12|pages=439|pmid=22709383|pmc=3408371|issue=1|display-authors=0 |doi-access=free }}</ref>
|-
| [[Earth:Europe|Europe]] || 606 || {{convert|70.8|kg|abbr=on|1}} || 55.6% || <ref name="biomed"/>
|-
| Latin America and the Caribbean || 386 || {{convert|67.9|kg|abbr=on|1}} || 57.9% || <ref name="biomed"/>
|-
| [[Earth:North America|North America]] || 263 || {{convert|80.7|kg|abbr=on|1}} || 73.9% || <ref name="biomed"/>
|-
| [[Earth:Oceania|Oceania]] || 24 || {{convert|74.1|kg|abbr=on|1}} || 63.3% || <ref name="biomed"/>
|-
| [[Philosophy:World|World]] || 4,630 || {{convert|62.0|kg|abbr=on|1}} || 34.7% || <ref name="biomed"/>
|}

===By country===

{| class="wikitable sortable mw-collapsible"
|-
!Country
!Average male weight
!Average female weight
!Sample population /<br /> age range
!Methodology
!Year
!Source
|-
|{{AFG}} || {{convert|69.2|kg|abbr=on|1}} || {{convert|62.6|kg|abbr=on|1}} || 18–69 || Measured || 2018 || <ref>{{Cite web|date=2018|title=Afghanistan - STEPS 2018, National Non-Communicable Disease Risk Factors Survey|url=https://extranet.who.int/ncdsmicrodata/index.php/catalog/782|website=[[Organization:World Health Organization|World Health Organization]]|page=40|id=AFG_2018_STEPS_v01}}</ref>
|-
|{{DZA}} || {{convert|68.7|kg|abbr=on|1}} || {{convert|65.1|kg|abbr=on|1}} || 25–64 || Measured || 2005 || <ref>{{Cite web|date=2005|title=Algeria STEPS Survey 2002|url=https://www.who.int/ncds/surveillance/steps/STEPS_Report_Algeria.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=70}}</ref>
|-
|{{ARM}} || {{convert|74.6|kg|abbr=on|1}} || {{convert|66.4|kg|abbr=on|1}} || 18–69 || Measured || 2016 || <ref>{{Cite web|date=2018|title=Prevalence of noncommunicable disease risk factors in the Republic of Armenia, STEPS National Survey 2016|url=https://nih.am/assets/pdf/researches/2604c2a887a03ce09072199727916a9a.pdf|website=National Institute of Health|page=167}}</ref>
|-
|{{AUS}} || {{convert|87.0|kg|abbr=on|1}} || {{convert|71.8|kg|abbr=on|1}} || 18+ || Measured || 2018 || <ref>{{Cite web|date=2018|title=National Health Survey: First results, Body Mass Index, waist circumference, height and weight - Australia|url=https://www.abs.gov.au/statistics/health/health-conditions-and-risks/national-health-survey-first-results/latest-release|website=Australian Bureau of Statistics}}</ref>
|-
|{{AZE}} || {{convert|72.1|kg|abbr=on|1}} || {{convert|65.7|kg|abbr=on|1}} || 16+ || Measured || 2005 ||<ref name="Azeri">{{cite web|date=7 May 2005|title=Azerbaijan State Statistics Committee, 2005|url=http://www.today.az/news/society/19273.html|access-date=22 January 2011|publisher=Today.az}}</ref>
|-
|{{BGD}} || {{convert|55.2|kg|abbr=on|1}} || {{convert|49.8|kg|abbr=on|1}} || 25+ || Measured || 2009–2010 ||<ref>{{Cite web|date=2010|title=Non-Communicable Disease Risk Factor Survey Bangladesh|url=https://www.who.int/ncds/surveillance/steps/2010_STEPS_Report_Bangladesh.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=120}}</ref>
|-
|{{BLR}} || {{convert|69|kg|abbr=on|1}} || {{convert|56|kg|abbr=on|1}} || 18+ || Measured || 2008 || <ref>{{cite web|author=Отдел антропологии и экологии Института истории НАН Беларуси |url=https://news.tut.by/society/311809.html |title=Чем отличаются "вчерашние" белорусы от "сегодняшних"? |publisher=news.tut.by |date=2012-09-21 |access-date=2019-10-11}}</ref>
|-
|{{BLZ}} || {{convert|74.2|kg|abbr=on|1}} || {{convert|70.5|kg|abbr=on|1}} || 20+ || Measured || 2010 ||<ref name=":4">{{Cite web|date=2011|title=The Central America Diabetes Initiative (CAMDI), Survey of Diabetes, Hypertension and Chronic Disease Risk Factors|url=https://www.paho.org/hq/dmdocuments/2012/PAHO-CAMDI-English2-2012.pdf|website=[[Organization:Pan American Health Organization|Pan American Health Organization]]|pages=25–26,61}}</ref>
|-
|{{BEN}} || {{convert|63.7|kg|abbr=on|1}} || {{convert|60.9|kg|abbr=on|1}} || 18–69 || Measured || 2015 ||<ref>{{Cite web|date=2016|title=Rapport final de l'enquête pour la surveillance des facteurs de risque des maladies non transmissibles par l'approche ''STEPSwise'' de l'OMS ENQUETE ''STEPS 2015'' au Bénin|url=https://www.who.int/ncds/surveillance/steps/Benin_2015_STEPS_Report_FR.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=90|language=fr}}</ref>
|-
|{{BTN}} || {{convert|63.2|kg|abbr=on|1}} || {{convert|57.4|kg|abbr=on|1}} || 18–69 || Measured || 2014 ||<ref>{{Cite web|date=2014|title=National survey for noncommunicable disease risk factors and mental health using WHO STEPS approach in Bhutan|url=https://www.who.int/ncds/surveillance/steps/Bhutan_2014_STEPS_Report.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=103}}</ref>
|-
|{{BWA}} || {{convert|63.6|kg|abbr=on|1}} || {{convert|64.3|kg|abbr=on|1}} || 15–69 || Measured || 2014 ||<ref>{{Cite web|date=2014|title=Botswana STEPS survey report on non-communicable disease risk factors|url=https://www.who.int/ncds/surveillance/steps/STEPS_BOTSWANA_2014_Report_Final.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=94}}</ref>
|-
|{{BRA}} || {{convert|72.7|kg|abbr=on|1}} || {{convert|62.5|kg|abbr=on|1}} || 20–74 || Measured || 2008–2009 || <ref>{{cite web|author=Do G1, em São Paulo |url=http://g1.globo.com/brasil/noticia/2010/08/metade-dos-adultos-brasileiros-esta-acima-do-peso-segundo-ibge.html |title=G1 - Metade dos adultos brasileiros está acima do peso, segundo IBGE - notícias em Brasil |publisher=G1.globo.com |date=2010-08-27 |access-date=2012-07-13}}</ref>
|-
|{{BRN}} || {{convert|74.1|kg|abbr=on|1}} || {{convert|62.9|kg|abbr=on|1}} || 19+ || Measured || 2010–2011 ||<ref>{{Cite web|date=2014|title=The 2nd National Health and Nutritional Status Survey (NHANSS)|url=http://www.ppkk.gov.bn/Shared%20Documents/DOCUMENT%2013%20(The%20Report%202nd%20Phase%20NHANSS%205-75%20years%20old%20Brunei%20Darussalam).pdf|website=Ministry of Health Brunei Darussalam|page=59}}</ref>
|-
|{{BGR}} || {{convert|81.0|kg|abbr=on|1}} || {{convert|67.0|kg|abbr=on|1}} || 15+ || Self-reported || 2014 ||<ref>{{Cite web|date=2014|title=Европейско здравно интервю - втора вълна, 2014 година (основни резултати)|url=https://www.nsi.bg/sites/default/files/files/pressreleases/EHIS2014.pdf|website=National Statistical Institute (Bulgaria)|page=10|language=bg}}</ref>
|-
|{{BFA}} || {{convert|65.2|kg|abbr=on|1}} || {{convert|59.0|kg|abbr=on|1}} || 25–64 || Measured || 2013 ||<ref>{{Cite web|date=2014|title=Rapport de L'enquete Nationale sur la prevalence des principaux facteurs de risques communs aux maldies non transmissibles au Burkina Faso|url=https://www.who.int/ncds/surveillance/steps/BurkinaFaso_2013_STEPS_Report.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=38|language=fr}}</ref>
|-
|{{KHM}} || {{convert|56.8|kg|abbr=on|1}} || {{convert|50.8|kg|abbr=on|1}} || 25–64 || Measured || 2010 ||<ref>{{Cite web|date=2010|title=Prevalence of Non-communicable Disease Risk Factors in Cambodia|url=https://www.who.int/ncds/surveillance/steps/2010_STEPS_Report_Cambodia.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=157}}</ref>
|-
|{{CMR}} || {{convert|68.3|kg|abbr=on|1}} || {{convert|67.0|kg|abbr=on|1}} || 15+ || Measured || 2003 ||<ref>{{Cite journal|last1=Kamadjeu|first1=Raoul M|last2=Edwards|first2=Richard|last3=Atanga|first3=Joseph S|last4=Kiawi|first4=Emmanuel C|last5=Unwin|first5=Nigel|last6=Mbanya|first6=Jean-Claude|date=December 2006|title=Anthropometry measures and prevalence of obesity in the urban adult population of Cameroon: an update from the Cameroon Burden of Diabetes Baseline Survey|url= |journal=BMC Public Health|language=en|volume=6|issue=1|pages=228|doi=10.1186/1471-2458-6-228|issn=1471-2458|pmc=1579217|pmid=16970806 |doi-access=free }}</ref>
|-
|{{CAN}} || {{convert| 84.6|kg|abbr=on|0}} ||{{convert|70.1|kg|abbr=on|0}}
|18–79
| Measured ||2007–2009
| <ref>{{Cite journal|last1=Shields|first1=Margot|last2=Connor Gorber|first2=Sarah|last3=Janssen|first3=Ian|last4=Tremblay|first4=Mark S.|date=November 2011|title=Bias in self-reported estimates of obesity in Canadian health surveys: an update on correction equations for adults|url=https://pubmed.ncbi.nlm.nih.gov/22106788|journal=Health Reports|volume=22|issue=3|pages=35–45|issn=0840-6529|pmid=22106788}}</ref>
|-
|{{CHL}} || {{convert|77.3|kg|abbr=on|1}} || {{convert|67.5|kg|abbr=on|1}} || 15+ || Measured || 2009–2010 || <ref>[http://www.redsalud.gov.cl/portal/url/item/99c12b89738d80d5e04001011e0113f8.pdf Encuesta Nacional de Salud 2009–2010] {{webarchive|url=https://web.archive.org/web/20110312040633/http://www.redsalud.gov.cl/portal/url/item/99c12b89738d80d5e04001011e0113f8.pdf |date=12 March 2011 }} (p. 81)</ref>
|-
|{{CRI}} - [[Place:San José, Costa Rica|San José]] || {{convert|76.6|kg|abbr=on|1}} || {{convert|64.9|kg|abbr=on|1}} || 20+ || Measured || 2010 ||<ref name=":42">{{Cite web|date=2011|title=The Central America Diabetes Initiative (CAMDI), Survey of Diabetes, Hypertension and Chronic Disease Risk Factors|url=https://www.paho.org/hq/dmdocuments/2012/PAHO-CAMDI-English2-2012.pdf|website=[[Organization:Pan American Health Organization|Pan American Health Organization]]|pages=25–26,61}}</ref>
|-
|{{CZE}} || {{convert|92.1|kg|abbr=on|1}} || {{convert|73.8|kg|abbr=on|1}} || 25–64 || Measured || 2016–2017 ||<ref>{{Cite journal|last1=Cífková|first1=Renata|last2=Bruthans|first2=Jan|last3=Wohlfahrt|first3=Peter|last4=Krajčoviechová|first4=Alena|last5=Šulc|first5=Pavel|last6=Jozífová|first6=Marie|last7=Eremiášová|first7=Lenka|last8=Pudil|first8=Jan|last9=Linhart|first9=Aleš|last10=Widimský|first10=Jiří|last11=Filipovský|first11=Jan|date=2020-05-11|editor-last=Shimosawa|editor-first=Tatsuo|title=30-year trends in major cardiovascular risk factors in the Czech population, Czech MONICA and Czech post-MONICA, 1985 – 2016/17|journal=PLOS ONE|language=en|volume=15|issue=5|pages=e0232845|doi=10.1371/journal.pone.0232845|issn=1932-6203|pmc=7213700|pmid=32392239|bibcode=2020PLoSO..1532845C |doi-access=free}}</ref>
|-
| {{EST}} || {{convert|84.4|kg|abbr=on|1}} || {{convert|71.2|kg|abbr=on|1}} || 18+ || Measured || 2003–2010 ||<ref>{{Cite journal|title=Cohort Profile: Estonian Biobank of the Estonian Genome Center, University of Tartu|url=https://academic.oup.com/ije/article/44/4/1137/666872|journal=International Journal of Epidemiology|volume=44|pages=1142}}</ref>
|-
|{{FRA}} || {{convert|77.1|kg|abbr=on|0}} || {{convert|62.7|kg|abbr=on|0}} || 15+ || Measured || 2005 || <ref>{{Cite web |url=http://statbel.fgov.be/figures/d25_fr.asp |title=Commission européenne, Eurobaromètre EB64.3 - calculs SPF Économie Direction générale Statistique et Information économique |access-date=8 January 2017 |archive-url=https://web.archive.org/web/20090508122346/http://www.statbel.fgov.be/figures/d25_fr.asp |archive-date=8 May 2009 |url-status=dead }}</ref>
|-
| {{GEO}} || {{convert|84.4|kg|abbr=on|1}} || {{convert|73.6|kg|abbr=on|1}} || 18–69 || Measured || 2016 ||<ref>{{Cite web|title=Non-communicable diseases risk-factor steps survey, Georgia, 2016. Executive summary|url=https://www.who.int/ncds/surveillance/steps/STEPS_Georgia_2016_ENG_summary_2016_final.pdf|website=[[Organization:World Health Organization|World Health Organization]]}}</ref>
|-
|{{DEU}} || {{convert|85.9|kg|abbr=on|1}} || {{convert|69.2|kg|abbr=on|1}} || 18+ || Self-reported || 2021 || <ref>{{cite web |author= Statistisches Bundesamt |url=https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Gesundheit/Gesundheitszustand-Relevantes-Verhalten/Tabellen/liste-koerpermasse.html#119168 |title=Körpermaße nach Altersgruppen und Geschlecht |language=de |publisher=Statistisches Bundesamt |access-date=2022-01-05}}</ref>
|-
|{{IND}} || {{convert|65.0|kg|abbr=on|1}} || {{convert|55.0|kg|abbr=on|1}} || 16+ || Measured || 2020 || <ref>{{cite web |url=https://www.nin.res.in/nutrition2020/RDA_short_report.pdf |title=Summary of RDA for Indians - 2020, p. 7 |publisher=nin.res.in }}</ref>
|-
|{{NOR}} || {{convert|86.6|kg|abbr=on|1}} || {{convert|71.6|kg|abbr=on|1}} || 18+ || Self-reported || 2020 || <ref>{{Cite web|title=Resultater fra Den nasjonale folkehelseundersøkelsen 2020|url=https://www.fhi.no/globalassets/dokumenterfiler/rapporter/2021/rapport-nhus-2020.pdf|website=[[Organization:Norwegian Institute of Public Health|Norwegian Institute of Public Health]]|page=7}}</ref>
|-
|{{OMN}} || {{convert|74.9|kg|abbr=on|1}} || {{convert|68.1|kg|abbr=on|1}} || 18+ || Measured || 2017 || <ref>{{Cite web|date=2017|title=WHO STEPS Noncommunicable Disease Risk Factor Surveillance, Data Book For Oman|url=https://www.who.int/ncds/surveillance/steps/Oman_STEPS_2017_Data_Book.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=65}}</ref>
|-
|{{PAK}} || {{convert|66.0|kg|abbr=on|1}} || {{convert|59.0|kg|abbr=on|1}} || 18–69 || Measured || 2013–2014 || <ref>{{Cite book|date=2016|title=Non‐Communicable Diseases Risk Factors Survey Pakistan. Pakistan Health Research Council 2016.|url=https://www.who.int/ncds/surveillance/steps/2014_Pakistan_STEPS_Report.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=25|isbn=9789694990088}}</ref>
|-
|{{PNG}} || {{convert|62.5|kg|abbr=on|1}} || {{convert|56.8|kg|abbr=on|1}} || 15–64 || Measured || 2007–2008 || <ref>{{Cite web|date=February 2014|title=Papua New Guinea NCD Risk Factors STEPS Report|url=https://www.who.int/ncds/surveillance/steps/PNG_2007-08_STEPS_Report.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=43}}</ref>
|-
|{{QAT}} || {{convert|84.6|kg|abbr=on|1}} || {{convert|73.4|kg|abbr=on|1}} || 18–64 || Measured || 2012 || <ref>{{Cite web|date=2013|title=Chronic Disease Risk Factor Surveillance: Qatar STEPS Report 2012. The Supreme Council of Health. Qatar.|url=https://www.who.int/ncds/surveillance/steps/Qatar_2012_STEPwise_Report.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=53}}</ref>
|-
|{{RUS}} || {{convert|70.6|kg|abbr=on|1}} || {{convert|60.2|kg|abbr=on|1}} || 19+ || Measured || 2018 || <ref>{{cite journal|last1=Martinchik |first1=A N |last2=Laikam |first2=K E |last3=Kozyreva |first3=N A |last4=Keshabyants |first4=E E |last5=Mikhailov |first5=N A |last6=Baturin |first6=A K |last7=Smirnova |first7=E A |date=2021 |title=Распространение ожирения в различных социально-демографических группах населения России |trans-title=The prevalence of obesity in various socio-demographic groups of the population of Russia |url=https://pubmed.ncbi.nlm.nih.gov/34264558/ |journal=Вопросы питания |volume=90 |issue=3 |pages=67–76 |doi=10.33029/0042-8833-2021-90-3-67-76 |pmid=34264558 |s2cid=235907158 |access-date=2022-01-16 |quote=The body weight and height of respondents with a BMI of 18.5-24.9 kg/m2 can be considered as the average normal body weight and height of the adult population in Russia, which amounted to 70.6 kg and 175.4 cm for men, and 60.2 kg and 164 cm for women, respectively.}}</ref>
|-
|{{RWA}} || {{convert|58.4|kg|abbr=on|1}} || {{convert|55.9|kg|abbr=on|1}} || 15–64 || Measured || 2012–2013 || <ref>{{Cite web|date=2015|title=Rwanda Non-communicable Diseases Risk Factors Report|url=https://www.who.int/ncds/surveillance/steps/Rwanda_2012_STEPS_Report.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=81}}</ref>
|-
|{{KNA}} || {{convert|84.5|kg|abbr=on|1}} || {{convert|83.0|kg|abbr=on|1}} || 25–64 || Measured || 2007–2008 || <ref>{{Cite web|date=2008|title=2008 STEPwise Approach to Chronic Disease Risk Factor Survey Report|url=https://www.who.int/ncds/surveillance/steps/2007_Report_StKitts.pdf|website=[[Organization:World Health Organization|World Health Organization]]}}</ref>
|-
|{{SAU}} || {{convert|77.3|kg|abbr=on|1}} || {{convert|71.7|kg|abbr=on|1}} || 25–64 || Measured || 2005 || <ref>{{Cite web|date=2005|title=WHO STEPwise Approach to NCD Surveillance, Country‐Specific Standart Report, Saudi Arabia 2005|url=https://www.who.int/ncds/surveillance/steps/2005_SaudiArabia_STEPS_Report_EN.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=40}}</ref>
|-
|{{SRB}} || {{convert|84.6|kg|abbr=on|1}} || {{convert|70.0|kg|abbr=on|1}} || 20+ || Measured || 2013 || <ref>{{Cite journal|last1=Maksimović|first1=Miloš Ž|last2=Gudelj Rakić|first2=Jelena M.|last3=Vlajinac|first3=Hristina D.|last4=Vasiljević|first4=Nadja D.|last5=Nikić|first5=Marina I.|last6=Marinković|first6=Jelena M.|date=2016|title=Comparison of different anthropometric measures in the adult population in Serbia as indicators of obesity: data from the National Health Survey 2013|journal=Public Health Nutrition|volume=19|issue=12|pages=2246–2255|doi=10.1017/S1368980016000161|issn=1475-2727|pmid=26865391|doi-access=free|pmc=10270894}}</ref>
|-
|{{SLE}} || {{convert|62.0|kg|abbr=on|1}} || {{convert|59.0|kg|abbr=on|1}} || 25–64 || Measured || 2009 || <ref>{{Cite web|date=2009|title=The prevalence of the common risk factors of non-communicable diseases in Sierra Leone|url=https://www.who.int/ncds/surveillance/steps/2009_STEPS_Report_SierraLeone.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=12, 34}}</ref>
|-
|{{SLB}} || {{convert|75.3|kg|abbr=on|1}} || {{convert|70.4|kg|abbr=on|1}} || 25–64 || Measured || 2006 || <ref>{{Cite web|date=2010|title=Solomon Islands NCD Risk Factors STEPS Report|url=https://www.who.int/ncds/surveillance/steps/2006_Solomon_Islands_STEPS_Report.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=43}}</ref>
|-
|{{KOR}} || {{convert|73.34|kg|abbr=on|1}}|| {{convert|58.29|kg|abbr=on|1}}|| 18+ || Measured || 2019 || <ref>{{cite web|date=2021-12-23|title=시도별 성별 연령별 평균 체중 분포 현황 : 일반|url=https://kosis.kr/statHtml/statHtml.do?orgId=350&tblId=DT_35007_N132|access-date=2022-02-07|publisher=KOSIS – Korean Statistical Information Service|language=Korean}}</ref>
|-
|{{ESP}} || {{convert|82.4|kg|abbr=on|1}} || {{convert|66.6|kg|abbr=on|1}} || 18–64 || Measured || 2013 ||<ref>{{Cite journal|last1=López-Sobaler|first1=Ana M.|last2=Aparicio|first2=Aránzazu|last3=Aranceta-Bartrina|first3=Javier|last4=Gil|first4=Ángel|last5=González-Gross|first5=Marcela|last6=Serra-Majem|first6=Lluis|last7=Varela-Moreiras|first7=Gregorio|last8=Ortega|first8=Rosa M.|date=2016|title=Overweight and General and Abdominal Obesity in a Representative Sample of Spanish Adults: Findings from the ANIBES Study|journal=BioMed Research International|language=en|volume=2016|pages=1–11|doi=10.1155/2016/8341487|issn=2314-6133|pmc=4921130|pmid=27382572|doi-access=free}}</ref>
|-
|{{LKA}} || {{convert|61.4|kg|abbr=on|1}} || {{convert|54.6|kg|abbr=on|1}} || 18–69 || Measured || 2014–2015 || <ref>{{Cite web|date=2015|title=Non Communicable Disease Risk Factor Survey Sri Lanka|url=https://www.who.int/ncds/surveillance/steps/STEPS-report-2015-Sri-Lanka.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=81}}</ref>
|-
|{{SDN}} || {{convert|65.4|kg|abbr=on|1}} || {{convert|61.6|kg|abbr=on|1}} || 18–69 || Measured || 2016 || <ref>{{Cite web|date=2016|title=Sudan STEPwise survey for non-communicable diseases risk factors 2016 report|url=https://www.who.int/ncds/surveillance/steps/Sudan_STEPwise_SURVEY_final_2016.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=73}}</ref>
|-
|{{SWE}} || {{convert|81.9|kg|abbr=on|1}} || {{convert|66.7|kg|abbr=on|1}} || 16–84 || Measured || 2003–2004 || <ref>{{cite web |url=http://www.scb.se/sv_/Hitta-statistik/Statistik-efter-amne/Levnadsforhallanden/Levnadsforhallanden/Undersokningarna-av-levnadsforhallanden-ULFSILC/12202/2012A02B/Behallare-for-Press/6-kilo-mer-man-och-4-kilo-mer-kvinna/ |archive-url=https://archive.today/20140227131642/http://www.scb.se/sv_/Hitta-statistik/Statistik-efter-amne/Levnadsforhallanden/Levnadsforhallanden/Undersokningarna-av-levnadsforhallanden-ULFSILC/12202/2012A02B/Behallare-for-Press/6-kilo-mer-man-och-4-kilo-mer-kvinna/ |url-status=dead |archive-date=2014-02-27 |language=sv |title=6 kilo mer man och 4 kilo mer kvinna |access-date=2014-02-27 }}</ref>
|-
|{{TGO}} || {{convert|63.2|kg|abbr=on|1}} || {{convert|60.0|kg|abbr=on|1}} || 15–64 || Measured || 2010 || <ref>{{Cite web|date=2012|title=Rapport final de l'enquête STEPS Togo 2010, Togo STEPS survey report|url=https://www.who.int/ncds/surveillance/steps/2010STEPS_Report_Togo_FR.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=61|language=fr}}</ref>
|-
|{{TON}} || {{convert|99.4|kg|abbr=on|1}} || {{convert|97.7|kg|abbr=on|1}} || 25–64 || Measured || 2012 || <ref>{{Cite web|date=2014|title=Kingdom of Tonga NCD Risk Factors STEPS Report|url=https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=122}}</ref>
|-
|{{TTO}} || {{convert|76.7|kg|abbr=on|1}} || {{convert|71.1 |kg|abbr=on|1}} ||  15–64 || Measured || 2011 || <ref>{{Cite web|date=2012|title=Panamerican STEPS chronic non-communicable disease risk factor survey|url=https://www.who.int/ncds/surveillance/steps/TrinidadAndTobago_2011_STEPS_Report.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=99}}</ref>
|-
|{{TUR}} || {{convert|78.0|kg|abbr=on|1}} || {{convert|70.1|kg|abbr=on|1}} || 15+ || Measured || 2017 || <ref>{{Cite web|date=2018|title=National household health survey in Turkey prevalence of noncommunicable disease risk factors 2017|url=https://www.who.int/ncds/surveillance/steps/WHO-Turkey-Risk-Factors-A4_ENG.08_10_2018.pdf|website=[[Organization:World Health Organization|World Health Organization]]|pages=28, 78}}</ref>
|-
|{{TKM}} || {{convert|76.6|kg|abbr=on|1}} || {{convert|67.4|kg|abbr=on|1}} || 18–69 || Measured || 2018 || <ref>{{Cite web|date=2018|title="Распространненость факторов риска неинфекционных заболеваний в Туркменистане STEPS 2018"|url=https://www.who.int/ncds/surveillance/steps/Final_Report_Steps_2018_TKM.pdf|website=[[Organization:World Health Organization|World Health Organization]]|page=62|language=ru}}</ref>
|-
|{{GBR}} – {{wipe|England}} || {{convert|85.4|kg|abbr=on|1}} || {{convert|72.1|kg|abbr=on|1}} || 16+ || Measured || 2019 || <ref name="england">{{cite web |url=https://files.digital.nhs.uk/9D/4195D5/HSE19-Overweight-obesity-rep.pdf |title=Health Survey for England 2019 Overweight and obesity in adults and children |publisher=Nhs.uk |date=2010-09-15 }}</ref>
|-
|{{GBR}} – Wales || {{convert|84.0|kg|abbr=on|1}} || {{convert|69.0|kg|abbr=on|1}} || 16+ || Measured || 2009 || <ref name="wales">{{cite web |url=http://wales.gov.uk/docs/statistics/2010/100915healthsurvey09en.pdf |title=The Welsh Health Survey 2009, p. 58 |publisher=Wales.gov.uk |date=2010-09-15 |access-date=2011-01-22 |archive-url=https://web.archive.org/web/20130916032210/http://wales.gov.uk/docs/statistics/2010/100915healthsurvey09en.pdf |archive-date=16 September 2013 |url-status=dead }}</ref>
|-
| {{UKR}} || {{convert|80.0|kg|abbr=on|1}} || {{convert|71.0|kg|abbr=on|1}} || 18+ ||Measured ||2020 ||<ref>{{Cite web|title=Social and Demographic Characteristics of Households of Ukraine|url=http://www.ukrstat.gov.ua/druk/publicat/kat_u/2020/zb/07/zb_cdhd_20.pdf|website=State Statistics Service of Ukraine}}</ref>
|-
|{{USA}} || {{convert|90.6|kg|abbr=on|1}} || {{convert|77.5|kg|abbr=on|1}} || 20+ || Measured || 2015–2018 || <ref>{{cite web|url=https://www.cdc.gov/nchs/data/series/sr_03/sr03-046-508.pdf|title=Anthropometric Reference Data for Children and Adults: United States, 2015–2018 |access-date=2021-02-17}}</ref>
|}

====Global statistics====
Researchers at the London School of Hygiene and Tropical Medicine published a study of average weights of adult humans in the journal ''BMC Public Health'' and at the United Nations conference Rio+20.<ref>Data extracted from {{cite news|url=https://www.telegraph.co.uk/news/earth/earthnews/9345086/The-worlds-fattest-countries-how-do-you-compare.html |archive-url=https://ghostarchive.org/archive/20220112/https://www.telegraph.co.uk/news/earth/earthnews/9345086/The-worlds-fattest-countries-how-do-you-compare.html |archive-date=12 January 2022 |url-access=subscription |url-status=live|title=The world's fattest countries: how do you compare?|work=The Daily Telegraph|date=21 June 2012|access-date=22 September 2016}}{{cbignore}}</ref>
{| class="wikitable sortable collapsible collapsed"
! Rank || Country                 || Kilograms || Pounds || Relative size
|-
| 1    || Micronesia              || 87.398 || {{bartable|192.68||2}}
|-
| 2    || Tonga                   || 87.344 || {{bartable|192.56||2}}
|-
| 3    || United States           || 81.928 || {{bartable|180.62||2}}
|-
| 4    || Samoa                   || 78.544 || {{bartable|173.16||2}}
|-
| 5    || Kuwait                  || 77.791 || {{bartable|171.50||2}}
|-
| 6    || Australia               || 77.356 || {{bartable|170.54||2}}
|-
| 7    || Malta                   || 76.956 || {{bartable|169.66||2}}
|-
| 8    || Qatar                   || 76.866 || {{bartable|169.46||2}}
|-
| 9    || Croatia                 || 76.412 || {{bartable|168.46||2}}
|-
| 10   || United Kingdom          || 75.795 || {{bartable|167.10||2}}
|-
| 11   || UAE                     || 75.532 || {{bartable|166.52||2}}
|-
| 12   || Greece                  || 75.038 || {{bartable|165.43||2}}
|-
| 13   || Cyprus                  || 74.802 || {{bartable|164.91||2}}
|-
| 14   || Egypt                   || 74.271 || {{bartable|163.74||2}}
|-
| 15   || Barbados                || 73.831 || {{bartable|162.77||2}}
|-
| 16   || Belarus                 || 73.663 || {{bartable|162.40||2}}
|-
| 17   || Bahrain                 || 73.550 || {{bartable|162.15||2}}
|-
| 18   || Germany                 || 73.042 || {{bartable|161.03||2}}
|-
| 19   || Solomon Islands         || 72.797 || {{bartable|160.49||2}}
|-
| 20   || Austria                 || 72.743 || {{bartable|160.37||2}}
|-
| 21   || Saudi Arabia            || 72.638 || {{bartable|160.14||2}}
|-
| 22   || Iceland                 || 72.584 || {{bartable|160.02||2}}
|-
| 23   || Trinidad & Tobago       || 72.538 || {{bartable|159.92||2}}
|-
| 24   || Argentina               || 72.434 || {{bartable|159.69||2}}
|-
| 25   || Bahamas                 || 72.380 || {{bartable|159.57||2}}
|-
| 26   || Finland                 || 72.348 || {{bartable|159.50||2}}
|-
| 27   || Israel                  || 71.912 || {{bartable|158.54||2}}
|-
| 28   || Czech Rep.              || 71.640 || {{bartable|157.94||2}}
|-
| 29   || New Zealand             || 71.631 || {{bartable|157.92||2}}
|-
| 30   || Bulgaria                || 71.459 || {{bartable|157.54||2}}
|-
| 31   || Russia                  || 71.418 || {{bartable|157.45||2}}
|-
| 32   || Slovenia                || 71.200 || {{bartable|156.97||2}}
|-
| 33   || Slovakia                || 71.060 || {{bartable|156.66||2}}
|-
| 34   || Albania                 || 71.019 || {{bartable|156.57||2}}
|-
| 35   || Bosnia                  || 71.001 || {{bartable|156.53||2}}
|-
| 36   || Switzerland             || 70.987 || {{bartable|156.50||2}}
|-
| 37   || Rep. of Moldova         || 70.978 || {{bartable|156.48||2}}
|-
| 38   || Venezuela               || 70.788 || {{bartable|156.06||2}}
|-
| 39   || Chile                   || 70.593 || {{bartable|155.63||2}}
|-
| 40   || Georgia                 || 70.561 || {{bartable|155.56||2}}
|-
| 41   || Spain                   || 70.556 || {{bartable|155.55||2}}
|-
| 42   || Azerbaijan              || 70.484 || {{bartable|155.39||2}}
|-
| 43   || Hungary                 || 70.443 || {{bartable|155.30||2}}
|-
| 44   || Libya                   || 70.429 || {{bartable|155.27||2}}
|-
| 45   || Luxembourg              || 70.270 || {{bartable|154.92||2}}
|-
| 46   || Tajikistan              || 70.234 || {{bartable|154.84||2}}
|-
| 47   || Portugal                || 70.193 || {{bartable|154.75||2}}
|-
| 48   || Lithuania               || 70.153 || {{bartable|154.66||2}}
|-
| 49   || Grenada                 || 70.139 || {{bartable|154.63||2}}
|-
| 50   || Panama                  || 69.939 || {{bartable|154.19||2}}
|-
| 51   || Ireland                 || 69.926 || {{bartable|154.16||2}}
|-
| 52   || Canada                  || 69.767 || {{bartable|153.81||2}}
|-
| 53   || Jordan                  || 69.649 || {{bartable|153.55||2}}
|-
| 54   || St Vincent & Grenadines || 69.590 || {{bartable|153.42||2}}
|-
| 55   || Belize                  || 69.377 || {{bartable|152.95||2}}
|-
| 56   || Poland                  || 69.241 || {{bartable|152.65||2}}
|-
| 57   || Macedonia               || 69.209 || {{bartable|152.58||2}}
|-
| 58   || Italy                   || 69.205 || {{bartable|152.57||2}}
|-
| 59   || Jamaica                 || 69.064 || {{bartable|152.26||2}}
|-
| 60   || Sweden                  || 69.064 || {{bartable|152.26||2}}
|-
| 61   || Turkey                  || 69.046 || {{bartable|152.22||2}}
|-
| 62   || Cuba                    || 69.037 || {{bartable|152.20||2}}
|-
| 63   || Mexico                  || 69.023 || {{bartable|152.17||2}}
|-
| 64   || Mongolia                || 68.910 || {{bartable|151.92||2}}
|-
| 65   || Uruguay                 || 68.873 || {{bartable|151.84||2}}
|-
| 66   || Belgium                 || 68.801 || {{bartable|151.68||2}}
|-
| 67   || Suriname                || 68.778 || {{bartable|151.63||2}}
|-
| 68   || Latvia                  || 68.778 || {{bartable|151.63||2}}
|-
| 69   || Norway                  || 68.774 || {{bartable|151.62||2}}
|-
| 70   || Netherlands             || 68.746 || {{bartable|151.56||2}}
|-
| 71   || Ukraine                 || 68.674 || {{bartable|151.40||2}}
|-
| 72   || Guatemala               || 68.579 || {{bartable|151.19||2}}
|-
| 73   || Saint Lucia             || 68.438 || {{bartable|150.88||2}}
|-
| 74   || Armenia                 || 68.424 || {{bartable|150.85||2}}
|-
| 75   || Nicaragua               || 68.415 || {{bartable|150.83||2}}
|-
| 76   || Vanuatu                 || 68.229 || {{bartable|150.42||2}}
|-
| 77   || El Salvador             || 68.220 || {{bartable|150.40||2}}
|-
| 78   || Lebanon                 || 68.170 || {{bartable|150.29||2}}
|-
| 79   || Ecuador                 || 68.166 || {{bartable|150.28||2}}
|-
| 80   || Fiji                    || 68.048 || {{bartable|150.02||2}}
|-
| 81   || Bolivia                 || 68.034 || {{bartable|149.99||2}}
|-
| 82   || Dominican Rep.          || 67.993 || {{bartable|149.90||2}}
|-
| 83   || Denmark                 || 67.957 || {{bartable|149.82||2}}
|-
| 84   || Costa Rica              || 67.853 || {{bartable|149.59||2}}
|-
| 85   || Tunisia                 || 67.726 || {{bartable|149.31||2}}
|-
| 86   || Iran                    || 67.608 || {{bartable|149.05||2}}
|-
| 87   || Turkmenistan            || 67.563 || {{bartable|148.95||2}}
|-
| 88   || Paraguay                || 67.445 || {{bartable|148.69||2}}
|-
| 89   || Peru                    || 67.440 || {{bartable|148.68||2}}
|-
| 90   || Syria                   || 67.422 || {{bartable|148.64||2}}
|-
| 91   || Guyana                  || 67.032 || {{bartable|147.78||2}}
|-
| 92   || France                  || 66.782 || {{bartable|147.23||2}}
|-
| 93   || Estonia                 || 66.732 || {{bartable|147.12||2}}
|-
| 94   || Equatorial Guinea       || 66.451 || {{bartable|146.50||2}}
|-
| 95   || Romania                 || 66.401 || {{bartable|146.39||2}}
|-
| 96   || Colombia                || 66.370 || {{bartable|146.32||2}}
|-
| 97   || Uzbekistan              || 66.351 || {{bartable|146.28||2}}
|-
| 98   || Kazakhstan              || 66.265 || {{bartable|146.09||2}}
|-
| 99   || Brazil                  || 66.093 || {{bartable|145.71||2}}
|-
| 100  || Mauritius               || 66.052 || {{bartable|145.62||2}}
|-
| 101  || Iraq                    || 66.034 || {{bartable|145.58||2}}
|-
| 102  || Lesotho                 || 65.966 || {{bartable|145.43||2}}
|-
| 103  || Honduras                || 65.834 || {{bartable|145.14||2}}
|-
| 104  || Oman                    || 65.803 || {{bartable|145.07||2}}
|-
| 105  || South Africa            || 65.667 || {{bartable|144.77||2}}
|-
| 106  || Kyrgyzstan              || 65.413 || {{bartable|144.21||2}}
|-
| 107  || Botswana                || 65.045 || {{bartable|143.40||2}}
|-
| 108  || Cameroon                || 64.832 || {{bartable|142.93||2}}
|-
| 109  || Morocco                 || 64.764 || {{bartable|142.78||2}}
|-
| 110  || South Korea             || 64.392 || {{bartable|141.96||2}}
|-
| 111  || Mauritania              || 64.179 || {{bartable|141.49||2}}
|-
| 112  || Algeria                 || 63.639 || {{bartable|140.30||2}}
|-
| 113  || Gabon                   || 62.845 || {{bartable|138.55||2}}
|-
| 114  || Ghana                   || 62.491 || {{bartable|137.77||2}}
|-
| 115  || Cape Verde              || 62.296 || {{bartable|137.34||2}}
|-
| 116  || Papua New Guinea        || 62.251 || {{bartable|137.24||2}}
|-
| 117  || Eswatini               || 62.097 || {{bartable|136.90||2}}
|-
| 118  || Djibouti                || 62.015 || {{bartable|136.72||2}}
|-
| 119  || Haiti                   || 61.698 || {{bartable|136.02||2}}
|-
| 120  || Comoros                 || 61.044 || {{bartable|134.58||2}}
|-
| 121  || Zimbabwe                || 61.022 || {{bartable|134.53||2}}
|-
| 122  || Brunei                  || 60.945 || {{bartable|134.36||2}}
|-
| 123  || Sierra Leone            || 60.854 || {{bartable|134.16||2}}
|-
| 124  || Nigeria                 || 60.745 || {{bartable|133.92||2}}
|-
| 125  || Malaysia                || 60.682 || {{bartable|133.78||2}}
|-
| 126  || China                   || 60.555 || {{bartable|133.50||2}}
|-
| 127  || Angola                  || 60.387 || {{bartable|133.13||2}}
|-
| 128  || Senegal                 || 60.373 || {{bartable|133.10||2}}
|-
| 129  || Benin                   || 60.282 || {{bartable|132.90||2}}
|-
| 130  || Mali                    || 60.078 || {{bartable|132.45||2}}
|-
| 131  || Yemen                   || 59.802 || {{bartable|131.84||2}}
|-
| 132  || Philippines             || 59.715 || {{bartable|131.65||2}}
|-
| 133  || Namibia                 || 59.584 || {{bartable|131.36||2}}
|-
| 134  || Sudan                   || 59.407 || {{bartable|130.97||2}}
|-
| 135  || Togo                    || 59.280 || {{bartable|130.69||2}}
|-
| 136  || Guinea                  || 59.112 || {{bartable|130.32||2}}
|-
| 137  || Japan                   || 59.017 || {{bartable|130.11||2}}
|-
| 138  || Pakistan                || 58.976 || {{bartable|130.02||2}}
|-
| 139  || Singapore               || 58.935 || {{bartable|129.93||2}}
|-
| 140  || Thailand                || 58.786 || {{bartable|129.60||2}}
|-
| 141  || Côte d'Ivoire           || 58.727 || {{bartable|129.47||2}}
|-
| 142  || Laos                    || 58.436 || {{bartable|128.83||2}}
|-
| 143  || Chad                    || 58.196 || {{bartable|128.30||2}}
|-
| 144  || Niger                   || 57.933 || {{bartable|127.72||2}}
|-
| 145  || Maldives                || 57.647 || {{bartable|127.09||2}}
|-
| 146  || São Tomé and Príncipe   || 57.561 || {{bartable|126.90||2}}
|-
| 147  || Burkina Faso            || 57.456 || {{bartable|126.67||2}}
|-
| 148  || Congo                   || 57.384 || {{bartable|126.51||2}}
|-
| 149  || Tanzania                || 57.293 || {{bartable|126.31||2}}
|-
| 150  || Gambia                  || 57.071 || {{bartable|125.82||2}}
|-
| 151  || Uganda                  || 57.007 || {{bartable|125.68||2}}
|-
| 152  || Afghanistan             || 56.935 || {{bartable|125.52||2}}
|-
| 153  || Malawi                  || 56.681 || {{bartable|124.96||2}}
|-
| 154  || Rwanda                  || 56.635 || {{bartable|124.86||2}}
|-
| 155  || Myanmar                 || 56.354 || {{bartable|124.24||2}}
|-
| 156  || Kenya                   || 56.264 || {{bartable|124.04||2}}
|-
| 157  || Guinea-Bissau           || 56.087 || {{bartable|123.65||2}}
|-
| 158  || Mozambique              || 55.955 || {{bartable|123.36||2}}
|-
| 159  || Central African Rep.    || 55.946 || {{bartable|123.34||2}}
|-
| 160  || Zambia                  || 55.910 || {{bartable|123.26||2}}
|-
| 161  || Cambodia                || 55.742 || {{bartable|122.89||2}}
|-
| 162  || Liberia                 || 55.533 || {{bartable|122.43||2}}
|-
| 163  || Somalia                 || 55.375 || {{bartable|122.08||2}}
|-
| 164  || Madagascar              || 55.157 || {{bartable|121.60||2}}
|-
| 165  || Burundi                 || 54.127 || {{bartable|119.33||2}}
|-
| 166  || Congo                   || 53.501 || {{bartable|117.95||2}}
|-
| 167  || Ethiopia                || 53.057 || {{bartable|116.97||2}}
|-
| 168  || India                   || 52.943 || {{bartable|116.72||2}}
|-
| 169  || North Korea             || 52.589 || {{bartable|115.94||2}}
|-
| 170  || Indonesia               || 52.467 || {{bartable|115.67||2}}
|-
| 171  || Eritrea                 || 52.041 || {{bartable|114.73||2}}
|-
| 172  || Timor-Leste             || 51.950 || {{bartable|114.53||2}}
|-
| 173  || Bhutan                  || 51.142 || {{bartable|112.75||2}}
|-
| 174  || Vietnam                 || 50.725 || {{bartable|111.83||2}}
|-
| 175  || Nepal                   || 50.476 || {{bartable|111.28||2}}
|-
| 176  || Sri Lanka               || 50.421 || {{bartable|111.16||2}}
|-
| 177  || Bangladesh              || 49.591 || {{bartable|109.33||2}}
|- style="color:#00000;background:#dddddd;"
| — || '''world average''' || '''61.997''' || '''{{bartable|136.68|'''|2}}
|}

== See also ==
{{div col|colwidth=30em}}
* [[Biology:Anthropometry|Anthropometry]]
* [[Physics:Bergmann's rule|Bergmann's rule]]
* [[Medicine:Birth weight|Birth weight]]
* [[Body mass index]] (BMI)
* [[Medicine:Classification of obesity|Classification of obesity]]
* Emaciation
* Hesse's Rule
* [[Biology:History of anthropometry|History of anthropometry]]
* [[Social:Human height|Human height]]
* List of heaviest people
* Obesity
* Overweight
* Set point theory
* {{Section link|Stone (unit)|human body weight}}
* [[Physics:Thermoregulation in humans|Thermoregulation in humans]]
* Underweight
* Weight loss and weight gain
* Weight phobia (disambiguation)
{{div col end}}

==References==
{{reflist}}

==External links==
* [http://www.scymed.com/en/smnxpn/pndfc237.htm Online calculator for Hamwi method]


[[Category:Anthropometry]]
[[Category:Mathematics in medicine]]

{{Sourceattribution|Human body weight}}