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Statistics by Country for Obesity
Prevalance of Obesity:
39.8 million American adults; more than 57% of American adults are overweight (CDC)
Prevalance Rate for Obesity:
approx 1 in 6 or 14.63% or 39.8 million people in USA [about data]Extrapolation of Prevalence Rate of Obesity to Countries and Regions:
WARNING! EXTRAPOLATION ONLY! NOT BASED ON COUNTRY-SPECIFIC DATA SOURCES. The following table attempts to extrapolate the above prevalence rate for Obesity to the populations of various countries and regions. These prevalence extrapolations for Obesity are only estimates, based on applying the prevalence rates from the US (or a similar country) to the population of other countries, and therefore may have very limited relevance to the actual prevalence of Obesity in any region:
| Country/Region | Extrapolated Prevalence | Population Estimated Used |
| Obesity in North America (Extrapolated Statistics) | ||
| USA | 42,968,694 | 293,655,4051 |
| Canada | 4,756,666 WARNING! (Details) | 32,507,8742 |
| Mexico | 15,358,058 WARNING! (Details) | 104,959,5942 |
| Obesity in Central America (Extrapolated Statistics) | ||
| Belize | 39,938 WARNING! (Details) | 272,9452 |
| Guatemala | 2,089,587 WARNING! (Details) | 14,280,5962 |
| Nicaragua | 784,258 WARNING! (Details) | 5,359,7592 |
| Obesity in Caribbean (Extrapolated Statistics) | ||
| Puerto Rico | 570,363 WARNING! (Details) | 3,897,9602 |
| Obesity in South America (Extrapolated Statistics) | ||
| Brazil | 26,938,323 WARNING! (Details) | 184,101,1092 |
| Chile | 2,315,417 WARNING! (Details) | 15,823,9572 |
| Colombia | 6,191,061 WARNING! (Details) | 42,310,7752 |
| Paraguay | 905,942 WARNING! (Details) | 6,191,3682 |
| Peru | 4,030,379 WARNING! (Details) | 27,544,3052 |
| Venezuela | 3,660,632 WARNING! (Details) | 25,017,3872 |
| Obesity in Northern Europe (Extrapolated Statistics) | ||
| Denmark | 792,106 WARNING! (Details) | 5,413,3922 |
| Finland | 763,005 WARNING! (Details) | 5,214,5122 |
| Iceland | 43,014 WARNING! (Details) | 293,9662 |
| Sweden | 1,314,921 WARNING! (Details) | 8,986,4002 |
| Obesity in Western Europe (Extrapolated Statistics) | ||
| Britain (United Kingdom) | 8,819,022 WARNING! (Details) | 60,270,708 for UK2 |
| Belgium | 1,514,196 WARNING! (Details) | 10,348,2762 |
| France | 8,841,484 WARNING! (Details) | 60,424,2132 |
| Ireland | 580,839 WARNING! (Details) | 3,969,5582 |
| Luxembourg | 67,702 WARNING! (Details) | 462,6902 |
| Monaco | 4,721 WARNING! (Details) | 32,2702 |
| Netherlands (Holland) | 2,387,736 WARNING! (Details) | 16,318,1992 |
| United Kingdom | 8,819,022 WARNING! (Details) | 60,270,7082 |
| Wales | 426,972 WARNING! (Details) | 2,918,0002 |
| Obesity in Central Europe (Extrapolated Statistics) | ||
| Austria | 1,196,160 WARNING! (Details) | 8,174,7622 |
| Czech Republic | 182,345 WARNING! (Details) | 1,0246,1782 |
| Germany | 12,060,659 WARNING! (Details) | 82,424,6092 |
| Hungary | 1,467,972 WARNING! (Details) | 10,032,3752 |
| Liechtenstein | 4,892 WARNING! (Details) | 33,4362 |
| Poland | 5,651,943 WARNING! (Details) | 38,626,3492 |
| Slovakia | 793,595 WARNING! (Details) | 5,423,5672 |
| Slovenia | 294,325 WARNING! (Details) | 2,011,473 2 |
| Switzerland | 1,090,237 WARNING! (Details) | 7,450,8672 |
| Obesity in Eastern Europe (Extrapolated Statistics) | ||
| Belarus | 1,508,671 WARNING! (Details) | 10,310,5202 |
| Estonia | 196,317 WARNING! (Details) | 1,341,6642 |
| Latvia | 337,466 WARNING! (Details) | 2,306,3062 |
| Lithuania | 527,920 WARNING! (Details) | 3,607,8992 |
| Russia | 21,066,792 WARNING! (Details) | 143,974,0592 |
| Ukraine | 6,984,326 WARNING! (Details) | 47,732,0792 |
| Obesity in the Southwestern Europe (Extrapolated Statistics) | ||
| Azerbaijan | 1,151,329 WARNING! (Details) | 7,868,3852 |
| Georgia | 686,826 WARNING! (Details) | 4,693,8922 |
| Portugal | 1,539,930 WARNING! (Details) | 10,524,1452 |
| Spain | 5,894,025 WARNING! (Details) | 40,280,7802 |
| Obesity in Southern Europe (Extrapolated Statistics) | ||
| Greece | 1,557,984 WARNING! (Details) | 10,647,5292 |
| Italy | 8,495,174 WARNING! (Details) | 58,057,4772 |
| Obesity in the Southeastern Europe (Extrapolated Statistics) | ||
| Albania | 518,688 WARNING! (Details) | 3,544,8082 |
| Bosnia and Herzegovina | 59,642 WARNING! (Details) | 407,6082 |
| Bulgaria | 1,100,056 WARNING! (Details) | 7,517,9732 |
| Croatia | 657,997 WARNING! (Details) | 4,496,8692 |
| Macedonia | 298,512 WARNING! (Details) | 2,040,0852 |
| Romania | 3,271,143 WARNING! (Details) | 22,355,5512 |
| Serbia and Montenegro | 1,584,083 WARNING! (Details) | 10,825,9002 |
| Obesity in Northern Asia (Extrapolated Statistics) | ||
| Mongolia | 402,581 WARNING! (Details) | 2,751,3142 |
| Obesity in Central Asia (Extrapolated Statistics) | ||
| Kazakhstan | 2,215,880 WARNING! (Details) | 15,143,7042 |
| Tajikistan | 1,025,955 WARNING! (Details) | 7,011,556 2 |
| Uzbekistan | 3,864,465 WARNING! (Details) | 26,410,4162 |
| Obesity in Eastern Asia (Extrapolated Statistics) | ||
| China | 190,051,967 WARNING! (Details) | 1,298,847,6242 |
| Hong Kong s.a.r. | 1,003,066 WARNING! (Details) | 6,855,1252 |
| Japan | 18,631,814 WARNING! (Details) | 127,333,0022 |
| Macau s.a.r. | 65,155 WARNING! (Details) | 445,2862 |
| North Korea | 3,321,186 WARNING! (Details) | 22,697,5532 |
| South Korea | 7,057,733 WARNING! (Details) | 48,233,7602 |
| Taiwan | 3,328,836 WARNING! (Details) | 22,749,8382 |
| Obesity in Southwestern Asia (Extrapolated Statistics) | ||
| Turkey | 10,080,801 WARNING! (Details) | 68,893,9182 |
| Obesity in Southern Asia (Extrapolated Statistics) | ||
| Afghanistan | 4,172,221 WARNING! (Details) | 28,513,6772 |
| Bangladesh | 20,681,437 WARNING! (Details) | 141,340,4762 |
| Bhutan | 319,800 WARNING! (Details) | 2,185,5692 |
| India | 155,844,889 WARNING! (Details) | 1,065,070,6072 |
| Pakistan | 23,294,169 WARNING! (Details) | 159,196,3362 |
| Sri Lanka | 2,912,593 WARNING! (Details) | 19,905,1652 |
| Obesity in Southeastern Asia (Extrapolated Statistics) | ||
| East Timor | 149,140 WARNING! (Details) | 1,019,2522 |
| Indonesia | 34,891,277 WARNING! (Details) | 238,452,9522 |
| Laos | 887,908 WARNING! (Details) | 6,068,1172 |
| Malaysia | 3,441,892 WARNING! (Details) | 23,522,4822 |
| Philippines | 12,619,189 WARNING! (Details) | 86,241,6972 |
| Singapore | 637,076 WARNING! (Details) | 4,353,8932 |
| Thailand | 9,491,352 WARNING! (Details) | 64,865,5232 |
| Vietnam | 12,095,512 WARNING! (Details) | 82,662,8002 |
| Obesity in the Middle East (Extrapolated Statistics) | ||
| Gaza strip | 193,877 WARNING! (Details) | 1,324,9912 |
| Iran | 9,877,307 WARNING! (Details) | 67,503,2052 |
| Iraq | 3,712,914 WARNING! (Details) | 25,374,6912 |
| Israel | 907,060 WARNING! (Details) | 6,199,0082 |
| Jordan | 821,050 WARNING! (Details) | 5,611,2022 |
| Kuwait | 330,332 WARNING! (Details) | 2,257,5492 |
| Lebanon | 552,695 WARNING! (Details) | 3,777,2182 |
| Saudi Arabia | 3,774,552 WARNING! (Details) | 25,795,9382 |
| Syria | 2,636,292 WARNING! (Details) | 18,016,8742 |
| United Arab Emirates | 369,308 WARNING! (Details) | 2,523,9152 |
| West Bank | 338,183 WARNING! (Details) | 2,311,2042 |
| Yemen | 2,930,109 WARNING! (Details) | 20,024,8672 |
| Obesity in Northern Africa (Extrapolated Statistics) | ||
| Egypt | 11,137,769 WARNING! (Details) | 76,117,4212 |
| Libya | 824,033 WARNING! (Details) | 5,631,5852 |
| Sudan | 5,728,297 WARNING! (Details) | 39,148,1622 |
| Obesity in Western Africa (Extrapolated Statistics) | ||
| Congo Brazzaville | 438,683 WARNING! (Details) | 2,998,0402 |
| Ghana | 3,037,242 WARNING! (Details) | 20,757,0322 |
| Liberia | 496,129 WARNING! (Details) | 3,390,6352 |
| Niger | 1,662,314 WARNING! (Details) | 11,360,5382 |
| Nigeria | 2,597,294 WARNING! (Details) | 12,5750,3562 |
| Senegal | 1,587,924 WARNING! (Details) | 10,852,1472 |
| Sierra leone | 860,951 WARNING! (Details) | 5,883,8892 |
| Obesity in Central Africa (Extrapolated Statistics) | ||
| Central African Republic | 547,613 WARNING! (Details) | 3,742,4822 |
| Chad | 1,395,713 WARNING! (Details) | 9,538,5442 |
| Congo kinshasa | 8,533,153 WARNING! (Details) | 58,317,0302 |
| Rwanda | 1,205,511 WARNING! (Details) | 8,238,6732 |
| Obesity in Eastern Africa (Extrapolated Statistics) | ||
| Ethiopia | 10,438,218 WARNING! (Details) | 71,336,5712 |
| Kenya | 4,826,058 WARNING! (Details) | 32,982,1092 |
| Somalia | 1,215,158 WARNING! (Details) | 8,304,6012 |
| Tanzania | 5,278,006 WARNING! (Details) | 36,070,7992 |
| Uganda | 3,861,515 WARNING! (Details) | 26,390,2582 |
| Obesity in Southern Africa (Extrapolated Statistics) | ||
| Angola | 1,606,420 WARNING! (Details) | 10,978,5522 |
| Botswana | 239,858 WARNING! (Details) | 1,639,2312 |
| South Africa | 6,503,856 WARNING! (Details) | 44,448,4702 |
| Swaziland | 171,087 WARNING! (Details) | 1,169,2412 |
| Zambia | 1,613,317 WARNING! (Details) | 11,025,6902 |
| Zimbabwe | 537,279 WARNING! (Details) | 1,2671,8602 |
| Obesity in Oceania (Extrapolated Statistics) | ||
| Australia | 2,913,761 WARNING! (Details) | 19,913,1442 |
| New Zealand | 584,389 WARNING! (Details) | 3,993,8172 |
| Papua New Guinea | 793,114 WARNING! (Details) | 5,420,2802 |
About extrapolations of prevalence and incidence statistics for Obesity:
WARNING! EXTRAPOLATED STATISTICS ONLY! Not based on data sources from individual countries. These statistics are calculated extrapolations of various prevalence or incidence rates against the populations of a particular country or region. The statistics used for prevalence/incidence of Obesity are typically based on US, UK, Canadian or Australian prevalence or incidence statistics, which are then extrapolated using only the population of the other country. This extrapolation calculation is automated and does not take into account any genetic, cultural, environmental, social, racial or other differences across the various countries and regions for which the extrapolated Obesity statistics below refer to. The extrapolation does not use data sources or statistics about any country other than its population. As such, these extrapolations may be highly inaccurate (especially for developing or third-world countries) and only give a general indication (or even a meaningless indication) as to the actual prevalence or incidence of Obesity in that region. These statistics are presented only in the hope that they may be interesting to some people.
About prevalence and incidence statistics in general for Obesity:
The word 'prevalence' of Obesity usually means the estimated population of people who are managing Obesity at any given time (i.e. people with Obesity). The term 'incidence' of Obesity means the annual diagnosis rate, or the number of new cases of Obesity diagnosed each year (i.e. getting Obesity). Hence, these two statistics types can differ: a short disease like flu can have high annual incidence but low prevalence, but a life-long disease like diabetes has a low annual incidence but high prevalence. For more information see about prevalence and incidence statistics.
Footnotes:
1. US Census Bureau, Population Estimates, 2004
2. US Census Bureau, International Data Base, 2004
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