1、World Obesity Atlas 2024Obesity and its consequences Global,regional and national estimates of the contribution of obesity to leading non-communicable diseases in adults Global,regional and national predictions of the effects of obesity on childrens higher risk of non-communicable diseases 186 natio

2、nal scorecards for child and adult obesity and its consequencesMarch 2024Compiled by Tim Lobstein,Jaynaide Powis and Rachel Jackson-Leach.Design by JohnClarksonDesign johnclarksondesign.co.uk World Obesity Federation 2024.World Obesity Federation 3 Waterhouse Square,138142 Holborn,London,EC1N 2SWwww

3、.worldobesity.org#worldobesityatlas Suggested Citation:World Obesity Federation.World Obesity Atlas 2024.London:World Obesity Federation,2024.https:/data.worldobesity.org/publications/?cat=22 Acknowledgements:The World Obesity Federation is indebted to the World Health Organization,the NCD Risk Fact

4、or Collaboration,The Institute for Health Metrics and Evaluation,The International Energy Authority,and the UN Population Division for the use of their downloadable data in the present Atlas.The World Obesity Federation would also like to thank RTI International for calculating the projected obesity

5、 prevalence data used in this Atlas.All data are used with permission directly or with Creative Commons(4)consent.All rights reserved.For further details please see the data sources and methods section in Annex 1.3World Obesity Atlas 2024ContentsList of tables and figures 4Foreword 6Voices of people

6、 living with obesity 7Headline findings in the World Obesity Atlas 2024 8Section 1:Global overweight and obesity(high BMI)10High BMI and the risk of non-communicable diseases in adults 10Early signs of non-communicable diseases in childhood 14Obesity and the health of the planet 17Section 2.High BMI

7、 and the risk of non-communicable disease in adults:Analyses of numbers and trends by WHO regions and World Bank income groups 24WHO regional data 24World Bank income groups 27Section 3.High BMI and the risk of non-communicable disease in childhood:Analyses of numbers and trends by WHO regions and W

8、orld Bank income groups 32WHO regional data 32World Bank income group data 34Section 4.Accelerating action on Obesity:catalysing a multi-sectoral approach 38Section 5:Country scorecards 41Annex 1:Sources of data 230Annex 2:Comparison of LMICs with High income countries 2344World Obesity Atlas 2024Li

9、st of tables and figuresTablesTable 1.1:Global estimate(2020)and projected number of adults(2025-2035)with high BMITable 1.2:Top 20 countries for the highest proportion of adult men and women living with high BMI 2020Table 1.3:Top 20 countries for the most rapid increase in the proportion of adults

10、living with high BMI 2000-2016Table 1.4:Deaths of adults attributable to high BMI(millions)Table 1.5:Adult person-years lost to disease(DALYs)attributable to high BMI(millions)Table 1.6:Global estimate(2020)and projected number of young people(2025-2035)with overweight(BMI 1sd 2sd)and obesity(BMI 2s

11、d)Table 1.7:Top 20 countries for the highest proportion of children living with high BMI 2020Table 1.8:Top 20 countries for the most rapid increase in the proportion of children living with high BMI 2000-2016Table 1.9:Global estimate:Number of cases of young people with early signs of non-communicab

12、le disease,estimate for 2020 Table 1.10:Correlations between GDP per capita,GDP annual growth,adult and child high BMI prevalence and the annual change in prevalence,2000-2016Table 1.11:Correlations between adult and child high BMI and environmental indicatorsTable 2.1:Adult overweight and obesity 2

13、020-2035,WHO regionsTable 2.2:Deaths of adults and the numbers and proportions attributable to high BMI,WHO regionsTable 2.3:Adult person-years lost to disease(DALYs)attributable to high BMI,WHO regions Table 2.4:Adult overweight and obesity 2020-2035,World Bank income groupsTable 2.5:Deaths of adul

14、ts attributable to high BMI,World Bank income groupsTable 2.6:Adult person-years lost to disease(DALYs)attributable to high BMI,World Bank income groupsTable 3.1:Child overweight and obesity 2020-2035,WHO regionsTable 3.2:Child overweight and obesity 2020-2035,World Bank income groupsFiguresFigure 1

15、.1:High BMI as a contributor(in%)to deaths from leading NCDs:adults 1990-2019 Figure 1.2:High BMI as a contributor(in%)to the years of healthy life lost(DALYs)to leading NCDs:adults 1990-2019 Figure 1.3:Projected numbers of children with NCD risks attributable to high BMIFigure 1.4:Correlation betwe

16、en adult BMI and annual GHG emissions per capita5World Obesity Atlas 2024Figure 1.5:Correlation between adult BMI and annual plastic waste per capitaFigure 2.1:Proportion(%)of deaths from leading NCDs attributable to high BMIFigure 2.2:Proportion(%)of person-years lost to disease(DALYs)for leading N

17、CDs attributable to high BMI:WHO regionsFigure 2.3:Proportion(%)of adult deaths from leading NCDs attributable to high BMI:World Bank income groupsFigure 2.4:Proportion(%)of adult DALYs from leading NCDs attributable to high BMI:World Bank income groupsFigure 3.1:Numbers of children(millions)with lo

18、w HDL cholesterol attributable to high BMI 2020-2035,WHO regionsFigure 3.2:Numbers of children(millions)with high blood pressure attributable to high BMI 2020-2035,WHO regionsFigure 3.3:Numbers of children(millions)with hyperglycaemia attributable to high BMI 2020-2035,WHO regionsFigure 3.4:Numbers

19、of children(millions)with low HDL cholesterol attributable to high BMI 2020-2035,World Bank income groupsFigure 3.5:Numbers of children(millions)with high blood pressure attributable to high BMI 2020-2035,World Bank income groupsFigure 3.6:Numbers of children(millions)with hyperglycaemia attributabl

20、e to high BMI 2020-2035,World Bank income groupsBoxesBox 1:Definition of overweight,obesity,high BMIBox 2:Obesity in climate-vulnerable countries AcronymsAFRO African Region BMI Body Mass IndexDALY Disability-Adjusted Life-YearsEMRO Eastern Mediterranean Region EURO European RegionGHG Greenhouse Gas

21、HDL High-Density LipoproteinIHME Institute for Health Metrics and EvaluationLMIC Low Middle Income CountriesNCD Non-Communicable DiseasePAHO Region of the Americas SD Standard DeviationSEARO South-East Asia RegionWHO World Health OrganizationWPRO Western Pacific Region6World Obesity Atlas 2024Forewo

22、rdProfessor Louise Baur The University of SydneyJohanna Ralston CEO,World Obesity FederationWorld Obesity Day 2024 sees the publication of the sixth World Obesity Atlas.Each Atlas has reported estimates for national obesity prevalence levels and trends,and each has also focused on a theme:these incl

23、ude the rise in childhood obesity,the likelihood of meeting global targets,the impact of obesity on COVID-19 risk,and the economic impact of overweight and obesity.This year the theme is“Obesity and.”the diseases it drives,with specific focus on obesity as a preventable cause of non-communicable dis

24、eases(NCDs).We look at major NCDs(type II diabetes,stroke,coronary heart disease,and cancer)and the proportions of these diseases that are attributable to high body mass index(overweight and obesity)in adulthood.To further illustrate obesitys role in wider NCD challenges that are occurring at ever-y

25、ounger ages,we also provide estimates of the numbers of children with the early signs of NCDs(hyperglycaemia,high blood pressure,and low HDL cholesterol),and the proportion of these attributable to high body mass index.We also estimate the numbers of children who might be spared from developing thes

26、e conditions if they were not experiencing excess body weight.We then take a brief look at the role planetary health and the changing climate are playing in the development and degree of overweight and obesity,recognising the associations between economic development and the changing nature of food

27、supplies,transport,urbanisation and pollution.While obesity has been recognised as a disease,its rapid increase in recent years has been exacerbated by some of the drivers of rapid economic growth.Efforts to address obesity and climate change share many common obstacles including siloed,fragmented,a

28、nd insufficiently resourced approaches when comprehensive,integrated,and well-supported efforts are the only way to achieve long-term success and impact.This focus also underscores a critical finding of the Atlas:the countries where disability and death attributable to overweight and obesity are hig

29、hest are in the Eastern Mediterranean including North Africa,the Americas and South-East Asia.This further dismantles misconceptions that obesity is limited to wealthier and older populations in the Global North,and is easily prevented and managed by calling on individuals to eat less and move more.

30、Our Atlas demonstrates that obesity is global,affecting rich and poor,at ever younger ages.Preventing,detecting and managing obesity could be seen as the single most important way to reduce premature deaths due to cancer,cardiovascular disease and diabetes,the main causes of death the world over.By

31、taking this on,we can improve the health of the population and the planet.The Atlas is completed by a series of national scorecards for 186 countries,presenting our data for overweight and non-communicable disease based on current estimates and projected for young people to 2035.These serve as a wea

32、lth of evidence for advocacy directed at policymakers who have the power to make a difference.7World Obesity Atlas 2024Voices of people living with obesityThe environment around us influences our choices,so lets talk about our food systems,our parks,public spaces,and the workplace.Living with obesit

33、y also shapes our world and to lead the healthiest life possible,we need supporting environments:safe spaces free from stigma,real science-based information free from diet gurus and influencers,and health systems that are prepared for the obesity epidemic.Picture community gardens where children lea

34、rn to grow fruits and vegetables,connecting with the earth and understanding the value of healthy eating.Envision cities designed with green spaces where families can play and exercise together,free from pollution.These are not just dreams;they are achievable goals.Together,we can advocate for polic

35、ies that support these initiatives,reducing obesity by creating environments that promote physical activity and provide nutritious food choices for all.Lets transform our world into a healthier place,step by step,starting today.Dr Mara Eugenia Anselmi,Our WorldLiving with obesity can impact your lif

36、e in many ways,especially if you are a child or teenager who is the target of jokes and teasing because of your weight.I have kept my weight under control for over six years,and I believe that a key factor enabling me to do this is knowing that obesity is a disease that must be managed every day.For

37、 this to happen,it is very important to take care of the environment in which I live and to accept that there will still be moments of ups and downs along the way.Dont give up!Gabriel Chamon,YouthI was born with childhood obesity.This March 4 on World Obesity Day,we are talking about obesity and var

38、ious health topics.Did you know that one out of every seven individuals around you is living with obesity?That equals 1 billion people globally living with obesity.And obesity is a complex disease caused by both behavioural,genetic and environmental factors.This is an important point to understand t

39、o ensure that when we work and interact with people living with obesity,we are not blaming them for bringing obesity onto themselves.Stephen Ogweno,Health8World Obesity Atlas 2024Headline findings in the World Obesity Atlas 2024Of the 41 million adult deaths each year due to NCDs,5 million are drive

40、n by high BMI(25 kg/m2).Nearly 4 million of these are from diabetes,stroke,coronary heart disease and cancer alone.A high BMI is responsible for over 120 million adult person-years lost to these four leading NCDs each year.Three quarters of this avoidable death and disease in adults is occurring in

41、middle-income countries.Put simply,most people living with and dying from NCDs have underlying high BMI,and the majority of these NCD deaths are occurring among people in lower resource settings and developing countries.On present trends,by 2035 more than 750 million children(age 5-19 years)are expe

42、cted to be living with overweight and obesity as measured by body mass.That is equivalent to two children in every five globally,and most of these children will be living in middle-income countries.Because of their high BMI,these 750 million children are at higher risk of experiencing the early sign

43、s of non-communicable diseases while still in childhood.In 2035,an estimated 68 million children will be suffering from high blood pressure due to their high BMI,an estimated 27 million will be living with hyperglycaemia due to their high BMI,and 76 million will have low HDL cholesterol due to their

44、 high BMI.The symptoms of these precursors to serious disease are largely invisible,but the children will be entering adulthood already on track for strokes,diabetes and heart disease.Despite some laudable efforts to address this,without major and coordinated action,rates of obesity will continue to

45、 rise,and more and more people will die prematurely from obesity or one of the diseases attributable to obesity.Moreover,the NCDs associated with obesity that were once only seen in adults are now becoming increasingly common among children.To reinforce how much this has become an issue of emerging

46、and more recently developed economies,the Atlas also shows the correlation between high BMI and economic development.Countries with economies that are expanding at an accelerated rate also have rapid rises in the prevalence of overweight,albeit from a low level.The data shows how high BMI is linked

47、to the mounting environmental crisis facing the globe,with greenhouse gas emissions,urbanisation,plastic waste,a lack of physical activity and consumption of animal products all playing a role in creating unhealthy environments that contribute to obesity.Reducing obesity prevalence and improving its

48、 management will have substantial benefits for health services and improve the likelihood of meeting global targets for tackling NCDs in adults.This will ensure better health for future generations.Box 1:Definition of overweight,obesity,high BMIIn adults,overweight and obesity are defined as a BMI 2

49、5 kg/m.In children,overweight and obesity are defined as a BMI 1sd above the WHO median child reference values.Both overweight and obesity in adults and children are referred to as high BMI throughout the document.Although widely used,BMI has well documented limitations.As a measure of size not heal

50、th,it is useful as a screening tool at the individual level and for estimating overweight and obesity at a population level.It is not recommended that it be used in isolation as a diagnostic tool in a clinical setting.Section 1:Global overweight and obesity(high BMI)9World Obesity Atlas 202410World

51、Obesity Atlas 2024Section 1:Global overweight and obesity(high BMI)Every country is affected by high BMI,with some lower income countries showing the highest increases in the last decade.As reported in the World Obesity Atlas 2023(World Obesity Federation,2023a),preventing and treating obesity may r

52、equire financial investment,but the cost of failing to prevent and treat obesity will be far higher,with high BMI reducing the global economy by over US$4 trillion in 2035,nearly 3%of global gross domestic product.The estimates for global levels of high BMI suggest that nearly 3.3 billion adults may

53、 be affected by 2035,compared with 2.2 billion in 2020.This reflects an increase from 42%of adults in 2020 to over 54%by 2035.For young people aged 5 to 19 years,the figure rises from 22%experiencing high BMI(430 million)to over 39%(770 million)by 2035.High BMI and the risk of non-communicable disea

54、ses in adultsBased on data trends for 2000-2016,and assuming no interventions,the projected rise in the prevalence and numbers of adults with high BMI is shown in Table 1.1.Table 1.1:Global estimate(2020)and projected number of adults(2025-2035)with high BMI2020202520302035Adults with overweight(BMI

55、 25 to 30 kg/m2)1.39bn1.52bn1.65bn1.77bnAdults with obesity(BMI 30 kg/m2)0.81bn1.01bn1.25bn1.53bnAdults with overweight or obesity as a proportion of all adults globally42%46%50%54%Source:World Obesity Federation,2023bFor regional data see sections 2 and 3.Table 1.2:Top 20 countries for the highest

56、proportion of adult men and women living with high BMI 2020Proportion of men with high BMIProportion of women with high BMITonga80%Tonga87%Samoa79%Samoa86%United States79%Kuwait79%Malta78%Jordan78%Kuwait77%Saudi Arabia78%New Zealand76%Qatar77%Australia76%Turkey76%Israel76%Libya75%11World Obesity Atl

57、as 2024Proportion of men with high BMIProportion of women with high BMIQatar76%Lebanon75%Canada76%Oman74%Saudi Arabia75%United Arab Emirates74%Spain74%Egypt74%United Kingdom74%Bahamas73%Jordan74%Fiji73%Czechia74%Iraq73%Greece74%Algeria73%Bulgaria73%Tunisia72%Lebanon73%Bahrain72%Iceland73%Iran72%Mont

58、enegro73%Mexico71%Source:World Obesity Federation,2023bTable 1.3:Top 20 countries for the most rapid increase in the proportion of adults living with high BMI 2000-2016Compound annual growth in adult obesity 2000-2016(%)Lao Peoples Democratic Republic3.8Viet Nam3.8Maldives3.7Thailand3.5Bangladesh3.5

59、Bhutan3.4Indonesia3.4Timor-Leste3.3Nepal3.2Myanmar3.2India3.1Afghanistan3.1Cambodia3.1Burkina Faso3.0Sri Lanka3.0Rwanda2.9Pakistan2.812World Obesity Atlas 2024Compound annual growth in adult obesity 2000-2016(%)Malaysia2.8China2.8Angola2.8Source:World Obesity Federation analysis of NCD RisC,2024Acco

60、rding to the 2024 Global Burden of Disease study(IHME,2024)recent estimates indicate that over 56 million people(adults and children)die each year,and 2.5 billion years of healthy life are lost to disease or injuries or other causes of ill-health(DALYs,or disability-adjusted life-years).Of these,som

61、e 42 million deaths and 1.6 billion DALYs are caused by non-communicable diseases(NCDs).Two-thirds of these NCD deaths and 40%of the NCD DALYs are caused by just four conditions:cancers(neoplasms),coronary heart disease,stroke and diabetes.Each of these conditions is associated with,and accelerated

62、by,overweight and obesity.The Global Burden of Disease study has also provided estimates of the proportion of these deaths and DALYs for which risk factors are known,including the risk factor of a high body mass index(BMI 25 kg/m2).As shown in Tables 1.4 and 1.5,a high BMI accounts for between 5%and

63、 42%of adult deaths from the four leading NCDs,and between 5%and 52%of adult DALYs from these NCDs.Table 1.4:Deaths of adults attributable to high BMI(millions)Total deaths 2019Of which,attributable to high BMIAll causes50.3m5.0m(10%)Of which non-communicable diseases41.0m5.0m(12%)Of which.Diabetes

64、mellitus(Type 2)1.47m0.62m(42%).Coronary heart disease9.1m1.7m(19%).Neoplasms9.9m0.46m(5%).Stroke6.5m1.1m(17%)Source:IHME,202413World Obesity Atlas 2024Table 1.5:Adult person-years lost to disease(DALYs)attributable to high BMI(millions)Total DALYs 2019Of which,attributable to high BMIAll causes1,87

65、1m160m(9%)Of which non-communicable diseases1,454m160m(11%)Of which.Diabetes mellitus(Type 2)66.1m34.4m(52%).coronary heart disease181m41.4m(23%).Neoplasms241m11.2m(5%).Stroke141m34.8m(25%)Source:IHME,2024The importance of a high BMI as a contributory risk to major NCDs has gradually increased relat

66、ive to other known risk factors in the last two decades.This is considered to be due,in part,to a decline in the contribution of other risk factors such as poor interior air or use of tobacco products,but also in part due to the increasing evidence of the influence of overweight on a range of diseas

67、es and its effects in younger age groups.The trends are reflected in all four of the leading NCDs considered in this Atlas,as shown in Figures 1.1 and 1.2 below.Figure 1.1:High BMI as a contributor(in%)to deaths from leading NCDs:adults 1990-2019 10%20%30%40%50%02005201020152019Diabetes m

68、ellitus type 2Coronary heart diseaseNeoplasmsStrokeSource:World Obesity Federation analysis from IHME,202414World Obesity Atlas 2024Figure 1.2:High BMI as a contributor(in%)to the years of healthy life lost(DALYs)to leading NCDs:adults 1990-2019 15%30%45%60%02005201020152019Diabetes melli

69、tus type 2Coronary heart diseaseNeoplasmsStroke Source:World Obesity Federation analysis from IHME,2024Early signs of non-communicable diseases in childhood Based on data trends for 2000-2016,and assuming no interventions,the prevalence and numbers of young people(aged 5-19 years)with overweight or

70、obesity is predicted to rise from over 430m young people(22%of the global population of this age group)to 770m(39%)by 2035 see Table 1.6.Table 1.6:Global estimate(2020)and projected number of young people(2025-2035)with overweight(BMI 1sd 2sd)*and obesity(BMI 2sd)*2020202520302035Children with overw

71、eight 260m310m350m390mChildren with obesity 175m240m310m380mChildren with overweight or obesity as a proportion of all children globally22%28%33%39%Source World Obesity Federation,2023aFor regional data see sections 2 and 3.*Definitions according to World Health Organization child growth reference c

72、harts.15World Obesity Atlas 2024Table 1.7:Top 20 countries for the highest proportion of children living with high BMI 2020Proportion of boys with high BMIProportion of girls with high BMITonga63%Tonga72%Samoa57%Samoa66%United States51%Fiji46%Kuwait50%United States46%Saudi Arabia46%Kuwait44%China46%

73、Vanuatu44%Greece46%Egypt44%Qatar46%New Zealand42%Oman45%El Salvador41%Cyprus45%Costa Rica41%Argentina45%Mexico41%New Zealand45%Bahamas40%Lebanon44%Oman40%Italy44%Saudi Arabia39%Malta43%Portugal39%Egypt43%Dominican Republic39%Mexico42%Qatar39%Portugal42%Jordan38%Bahamas42%Algeria38%Spain42%Panama38%S

74、ource:World Obesity Federation,2023bTable 1.8:Top 20 countries for the most rapid increase in the proportion of children living with high BMI 2000-2016Compound annual growth in child obesity 2000-2016(%)Viet Nam10.0South Africa9.1Lao Peoples Democratic Republic8.1India7.9Maldives7.9Sri Lanka7.8Nepal

75、7.716World Obesity Atlas 2024Compound annual growth in child obesity 2000-2016(%)Bhutan7.7Lesotho7.7Cambodia7.6Namibia7.5China7.5Eswatini7.3Timor-Leste7.2Burkina Faso7.2Afghanistan7.2Bangladesh7.1Myanmar6.9Indonesia6.6Thailand6.5Source:World Obesity Federation analysis from NCD RisC,2024Early signs

76、of the development of non-communicable diseases include high blood pressure,a major risk factor for cardiovascular disease and especially strokes,and hyperglycaemia or poor glucose tolerance,indicating early signs of type 2 diabetes.We also consider the levels of high-density lipoprotein(HDL)cholest

77、erol in blood,as this form of circulating cholesterol is protective of heart health,and low levels of HDL cholesterol are an early warning sign for coronary heart disease.On the basis of the known prevalence of these three early signs of NCDs in young people in different BMI categories,we can estima

78、te the likely number of cases in the population(for our methods see Annex 1:Sources of data).We can also compare this with the number of cases that might be found if all children had a BMI below the WHO reference for overweight(i.e.BMI 2sd)36m31m18mTotal cases199m95m143mCases if all children not ove

79、rweight(1sd above reference).Table 1.10:Correlations between GDP per capita,GDP annual growth,adult and child high BMI prevalence and the annual change in prevalence,2000-2016GDP per capita 2016(n=182)Annualised growth in GDP per capita 2000-2016(n=178)Adult high BMI prevalence 2016r=0.41(p0.001)r=-

80、0.24(p0.005)Annualised increase in adult high BMI prevalence 2000-2016r=-0.50(p0.001)r=0.26(p0.001)Child high BMI prevalence 2016r=0.35(p0.001)r=-0.30(p0.001)Annualised increase in child high BMI prevalence 2000-2016r=-0.61(p0.001)r=0.34(p0.001)GDP per capita 2016r=-0.22(p0.005)Sources:World Obesity

81、 Federation analysis of NCD RisC,2024 and World Bank,2024aThe results confirm the general association between higher GDP per capita and higher prevalence of high BMI among both adults and children.They also show a positive correlation between annualised growth in GDP per capita and annualised increa

82、se in the prevalence of high BMI,for both adults and children.However,countries with the most rapid growth in GDP are generally those starting from a low level,and that is supported by the inverse relationship(negative correlation)between current GDP and the rate of increase in obesity levels,for bo

83、th adults and children.Conversely,the most rapid increase in overweight and obesity tends to be in countries starting from a low level,so we find a positive relationship between the most rapid increases in high BMI for both children and adults and the rate of increase in GDP.In summary,high BMI prev

84、alence for both adults and children is positively correlated with the economic performance of a country(as far as can be measured by GDP).This can be stated while recognising that any wealth generated by improved economic performance is often not shared by all and that may indeed be exacerbating ine

85、quities.The data also reveal that those countries showing the most rapid growth in wealth will likely also show a rapid rise in the prevalence of high BMI,albeit from low levels.It follows that the environmental consequences of rising economic wealth are expected to be linked(positively correlated)t

86、o the prevalence of high BMI.This can be shown in terms of the use of fossil fuels and greenhouse gas(GHG)emissions,and in the proportion of a nations population living in urban areas.All of these have implications for the development of high BMI,through the use of mechanised industrial processes,se

87、dentary working practices,use of motorised transport and less need and opportunity for active transport and active recreation.Similarly,more people living in cities tends to be associated with greater availability of processed foods in the food supply,and increased use of food packaging including wr

88、apping and bottling using plastic products.19World Obesity Atlas 2024Furthermore,increased processed food supplies and increased national wealth are reflected in national dietary patterns,with countries experiencing high GDP levels also likely to shift to diets containing greater levels of animal pr

89、oteins and processed sugar-containing foods.Moreover,people living with a high BMI are predisposed to maintain metabolism,body heat and movement through greater intake of food energy,and this increased consumption can be shown at a national population level.These environmental issues can be shown to

90、 correlate with the prevalence of high BMI in a population as shown in Table 1.11 and Figures 1.4 and 1.5.In simple terms,the data show that with increased national wealth(i.e.increased GDP)we see increased levels of high BMI.We also see a similar correlation between high BMI and GHG emissions,incre

91、ased urban population,plastic waste usage,insufficient inactivity,and the consumption of animal proteins,sugars and sweeteners mainly adverse consequences of economic wealth.This highlights the challenge faced by lower-and middle-income countries which are indeed seeing rising levels of obesity.Tabl

92、e 1.11:Correlations between adult and child high BMI and environmental indicatorsGHG emissions CO2 equivalent tonnes/capita/year(2015)%urban population(2020)Plastic waste kg/capita(latest year)%adults taking insufficient physical activity(2016)%youth 11-19y taking insufficient physical activity(2016

93、)Consumption of animal protein g/cap/day(2021)Consumption of sugar and sweeteners kg/cap/yr(2021)Countries with datan=144n=182n=147n=153n=127n=176n=176Adult high BMI prevalence 2016r=0.48(p0.001)r=0.57(p0.001)r=0.45(p0.001)r=0.48(p0.001)r=-0.19(p0.05)r=0.67(p0.001)r=0.49(p0.001)Child high BMI preval

94、ence 2016r=0.54(p0.001)r=0.47(p0.001)r=0.46(p0.001)r=0.49(p0.001)r=-0.07(ns)r=0.61(p0.001)r=0.44(p1sd to 2sd above the WHO median child reference values.Obesity is a BMI 2sd above the reference value.Table 3.1:Child overweight and obesity 2020-2035,WHO regions2020202520302035African region(AFRO)Chil

95、dren with overweight(millions)44.7462.6384.78114.02Children with obesity(millions)15.5525.8640.3760.96Prevalence of overweight and obesity(high BMI)15%19%24%31%Eastern Mediterranean region(EMRO)Children with overweight(millions)28.4434.5640.0545.20Children with obesity(millions)26.3336.8249.1764.33P

96、revalence of overweight and obesity(high BMI)23%28%33%39%European region(EURO)Children with overweight(millions)88.73103.68115.57125.52Children with obesity(millions)69.9994.85122.97156.24Prevalence of overweight and obesity(high BMI)25%29%34%40%Region of the Americas(PAHO)Children with overweight(m

97、illions)45.9847.2447.4247.41Children with obesity(millions)42.2548.8555.1562.32Prevalence of overweight and obesity(high BMI)39%43%48%53%South-East Asia region(SEARO)Children with overweight(millions)41.2253.0766.2381.08Children with obesity(millions)22.0233.2148.1067.71Prevalence of overweight and

98、obesity(high BMI)12%17%23%31%Western Pacific region(WPRO)Children with overweight(millions)66.7378.4577.9369.63Children with obesity(millions)51.2474.6991.1498.74Prevalence of overweight and obesity(high BMI)33%42%52%60%Source:World Obesity Federation,2023b33World Obesity Atlas 2024On the basis of p

99、revalence data for the three leading signs of risk for non-communicable disease in children of different weight status(see Annex 1)we can estimate the numbers of children with such signs attributable to their high BMI.The predicted numbers are shown in the following three figures.Figure 3.1:Numbers

100、of children(millions)with low HDL cholesterol attributable to high BMI 2020-2035,WHO regions20M40M60M80M2020202520302035African Region(AFRO)Eastern Mediterranean Region(EMRO)European Region(EURO)Region of the Americas(PAHO)South-East Asia Region(SEARO)Western Pacific Region(WPRO)Source:World Obesity

101、 Federation,2023b Figure 3.2:Numbers of children(millions)with high blood pressure attributable to high BMI 2020-2035,WHO regions 10M20M30M40M50M60M70M2020202520302035African Region(AFRO)Eastern Mediterranean Region(EMRO)European Region(EURO)Region of the Americas(PAHO)South-East Asia Region(SEARO)W

102、estern Pacific Region(WPRO)Source:World Obesity Federation,2023b34World Obesity Atlas 2024Figure 3.3 Numbers of children(millions)with hyperglycaemia attributable to high BMI 2020-2035,WHO regions10M20M30M2020202520302035African Region(AFRO)Eastern Mediterranean Region(EMRO)European Region(EURO)Regi

103、on of the Americas(PAHO)South-East Asia Region(SEARO)Western Pacific Region(WPRO)Source:World Obesity Federation,2023bWorld Bank income group dataOverweight and obesity trends 2020-2035This section considers the numbers of children estimated to experience high BMI in 2020 and their rising numbers an

104、d prevalence levels through to 2035,assuming no significant interventions to alter current trends.Overweight is defined as a BMI 1sd to 2sd above the WHO median child reference values.Obesity is a BMI 2sd above the reference value.Table 3.2:Child overweight and obesity 2020-2035,World Bank income gr

105、oups*2020202520302035LowChildren with overweight(millions)20.229.241.358.1Children with obesity(millions)8.213.220.933.0Prevalence of overweight and obesity(high BMI)12%16%20%27%Lower-MiddleChildren with overweight(millions)87.2113.1142.0175.5Children with obesity(millions)44.365.793.8131.1Prevalenc

106、e of overweight and obesity(high BMI)14%19%25%32%Upper-MiddleChildren with overweight(millions)109.1124.8125.8116.8Children with obesity(millions)86.3120.9149.0168.3Prevalence of overweight and obesity(high BMI)34%43%51%59%HighChildren with overweight(millions)42.443.342.842.0Children with obesity(m

107、illions)35.240.144.148.4Prevalence of overweight and obesity(high BMI)37%41%44%48%Source:World Obesity Federation,2023b35World Obesity Atlas 2024*Further analysis comparing LMICs combined with High income countries can be found in Annex 2Figure 3.4:Numbers of children(millions)with low HDL cholester

108、ol attributable to high BMI 2020-2035,World Bank income groups 20M40M60M80M2020202520302035LowLower-MiddleUpper-MiddleHighSource:World Obesity Federation,2023bFigure 3.5:Numbers of children(millions)with high blood pressure attributable to high BMI 2020-2035,World Bank income groups10M20M30M40M50M60

109、M70M2020202520302035LowLower-MiddleUpper-MiddleHigh Source:World Obesity Federation,2023b36World Obesity Atlas 2024Figure 3.6:Numbers of children(millions)with hyperglycaemia attributable to high BMI 2020-2035,World Bank income groups8M15M23M30M2020202520302035LowLower-MiddleUpper-MiddleHigh Source:

110、World Obesity Federation,2023bSection 4:Accelerating action on Obesity 37World Obesity Atlas 202438World Obesity Atlas 2024Section 4.Accelerating action on Obesity:catalysing a multi-sectoral approachToday,no country in the world is on track to reach the target to halt the rise of obesity prevalence

111、 by 2030,as set in 2013 by the World Health Organization and approved by all governments.In reality,rather than a zero increase,the World Obesity Atlas 2022(World Obesity Federation,2022)estimated that global obesity is likely to have doubled over this time.By 2035,over half the worlds population wi

112、ll be above a healthy weight.The majority of these people will be in middle-income countries,where obesity is often poorly understood and capacity is lacking to address it.Over 65%of adults who live with obesity globally were living in low-and middle-income countries in 2020,and this is expected to

113、rise to 7 in 10 adults with obesity in 2030.Obesity is both a disease in its own right and a risk factor for many other non-communicable diseases(NCDs),which are increasingly putting the health of children at risk.80%of children living with obesity were living in low-and middle-income countries in 2

114、020.The number of people with obesity is increasing globally,and as highlighted in the World Obesity Atlas 2023(World Obesity Federation,2023a)-with significant economic impact.There are marked differences between regions and levels of economic development that require urgent and tailored action to

115、address obesity and reduce the prevalence.Low-income and middle-income countries face a double burden of malnutrition,whereby overnutrition and undernutrition coexist within the same individual,household,or population.The double burden of malnutrition has increased in the poorest low-and middle-inco

116、me countries,particularly in south and east Asia and sub-Saharan Africa,mainly due to overweight and obesity increases(Popkin et al,2019).Many countries,including Small Island Developing States(SIDS),are experiencing a triple burden with the direct and indirect impacts of climate change exacerbating

117、 the burden.The impact of overweight and obesity in poorer communities not only increases their vulnerability health-wise,but their resilience to economic,social and climate crises.It is often the people least able to afford the consequences who will face the heaviest financial burden of the rise of

118、 obesity prevalence:paying out-of-pocket for treatment for obesity-related diseases,losing out on work income,and having to take time off work and school to care for family members.The global economic impact of overweight and obesity was estimated to be 2.4%of GDP in 2020,and is estimated to increas

119、e to$4.32 trillion by 2035.“The multiple overlapping crises.The climate crisis and the COVID-19 pandemic,combined with poverty,unemployment,inequality and the marginalization of minority communities are fuelling an increase in obesity,noncommunicable diseases and mental health conditions.”Dr Tedros,

120、Director-General WHO39World Obesity Atlas 2024The belief that obesity can be addressed through single silo solutions was put to rest during COVID-19,when underlying overweight and obesity combined with increased exposure to unhealthy diet and physical inactivity led to more people becoming ill and d

121、ying of COVID-19.The High-Level Meeting on Universal Health Coverage at the United Nations General Assembly in 2023 was a moment for recognising that inclusion of and financing for both prevention and treatment of obesity as part of Universal Health Coverage(UHC)would be essential.Obesity is not onl

122、y a part of worldwide health,its far-reaching nature means it is at the heart of global health.However,financing for obesity is nowhere near reflective of the level of impact of obesity on health and economies worldwide.Sustainable,effective funding is urgently needed,alongside effective public heal

123、th policies and professionals trained to understand and manage obesity.Such financing must be accompanied by coordinated and robust efforts across sectors public and private,food and health,high-,middle-and low-income countries and all populations.To date,policies to address obesity across the globe

124、 have been impeded by lack of political funding,financial support,and coordinated efforts.Fragmentation is best addressed by multisectoral approaches that incorporate immediate action into long-term plans,and that recognise,align and resource the wide range of stakeholders around common objectives a

125、nd shared accountability.Fortunately,the approval in 2022 of the obesity recommendations and WHO Acceleration Plan(Branca et al,2023)offer frameworks and a roadmap for action on obesity,with national plans,evidence-based policies,effective treatment options,training and global coordination.Now,commi

126、tments and financing are needed to move from plans to action,and the remaining challenge is to break down the silos,looking for solutions and catalytic funding across sectors.World Obesitys 2023 Global Obesity Forum in New York during the UN General Assembly touched upon many of these challenges,and

127、 the discussion paper An economic Imperative:Catalysing funding to address obesity highlights some possible courses of action:Making the case for the prevention and treatment of obesity as a public health emergency should appeal to the heads,hearts and pockets of those who hold the purse strings,bot

128、h within and outside government.Mainstreaming obesity,both as part of NCDs but also of other agendas,by fostering collaboration and partnerships that take a holistic,people-centred approach.Building the evidence case on the economic impact and the benefits of action on obesity.Supporting rapid,susta

129、inable and permanent action to ensure that the environments where we live,learn,work and play are actively supportive of health and of weight maintenance.Obesity is at the heart of many other agendas but is often not framed as such:building a case for proactively addressing obesity from new areas wi

130、ll have benefits far beyond obesity.As the obesity community advances as part of a wider,positive change in global health,breaking out of disease silos,it positions itself at the heart of this change,and is impossible to ignore.Section 5:Country scorecards40World Obesity Atlas 202441World Obesity At

131、las 2024Section 5:Country scorecardsCountry IndexAfghanistan 43Albania 44Algeria 45Angola 46Antigua and Barbuda 47Argentina 48Armenia 49Australia 50Austria 51Azerbaijan 52Bahamas 53Bahrain 54Bangladesh 55Barbados 56Belarus 57Belgium 58Belize 59Benin 60Bhutan 61Bolivia 62Bosnia and Herzegovina 63Bots

132、wana 64Brazil 65Brunei Darussalam 66Bulgaria 67Burkina Faso 68Burundi 69 Cabo Verde 70Cambodia 71Cameroon 72Canada 73Central African Republic 74Chad 75Chile 76China 77China(Hong Kong SAR)78Colombia 79Comoros 80Congo 81Costa Rica 82Cte dIvoire 83Croatia 84Cuba 85Cyprus 86Czechia 87 Democratic Republi

133、c of the Congo 88Denmark 89Djibouti 90Dominican Republic 91Ecuador 92Egypt 93El Salvador 94Equatorial Guinea 95Eritrea 96Estonia 97Eswatini 98Ethiopia 99 Fiji 100Finland 101France 102French Polynesia 103 Gabon 104Gambia 105Georgia 106Germany 107Ghana 108Greece 109Grenada 110Guatemala 111Guinea 112Gu

134、inea-Bissau 113Guyana 114 Haiti 115Honduras 116Hungary 117 Iceland 118India 119Indonesia 120Iran 121Iraq 122Ireland 123Israel 124Italy 125 Jamaica 126Japan 127Jordan 128 Kazakhstan 129Kenya 130Kiribati 131Kuwait 132Kyrgyzstan 133 Lao PDR 134Latvia 135Lebanon 136Lesotho 137Liberia 13842World Obesity

135、Atlas 2024Libya 139Lithuania 140Luxembourg 141 Madagascar 142Malawi 143Malaysia 144Maldives 145Mali 146Malta 147Mauritania 148Mauritius 149Mexico 150Micronesia(Federated States of)151Moldova 152Mongolia 153Montenegro 154Morocco 155Mozambique 156Myanmar 157 Namibia 158Nepal 159Netherlands 160New Zeal

136、and 161Nicaragua 162Niger 163Nigeria 164North Macedonia 165Norway 166 Oman 167 Pakistan 168Palestine 169Panama 170Papua New Guinea 171Paraguay 172Peru 173Philippines 174Poland 175Portugal 176Puerto Rico 177 Qatar 178 Romania 179Russian Federation 180Rwanda 181 Saint Lucia 182Saint Vincent and the Gr

137、enadines 183Samoa 184Sao Tome and Principe 185Saudi Arabia 186Senegal 187Serbia 188Seychelles 189Sierra Leone 190Singapore 191Slovakia 192Slovenia 193Solomon Islands 194Somalia 195South Africa 196South Korea 197Spain 198Sri Lanka 199Sudan 200Suriname 201Sweden 202Switzerland 203Syrian Arab Republic

138、204 Taiwan 205Tajikistan 206Tanzania 207Thailand 208Timor-Leste 209Togo 210Tonga 211Trinidad and Tobago 212Tunisia 213Turkey 214Turkmenistan 215 Uganda 216Ukraine 217United Arab Emirates 218United Kingdom 219United States of America 220Uruguay 221Uzbekistan 222 Vanuatu 223Venezuela 224Viet Nam 225 Y

139、emen 226 Zambia 227Zimbabwe 22843World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology

140、 in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countri

141、es(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Project

142、ed numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable dise

143、ases of which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pres

144、sure attributable to high BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG

145、 emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 20

146、16(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)gorggss9.0%Annual growth rate in the projected numbers of children with high BMI 20202035(1)6.2%Annual growth rate in the projected numbers of adults with high BMI 202020

147、35Afghanistan2020203513%34%1,957,201 7,166,800 139,918 605,324 66,009 248,473 179,431 695,913n/an/a26.00.74n/an/a88.110.513.4 790,510 22,044 137,641 2,475 263,091 8,121 181,883 4,870 23,546 769 3,000,000 6,000,000 9,000,000 12,000,000 2020202520302035AdultsChildren7,50015,00022,50030,000All other NC

148、DsDiabetesCoronary HDStrokeNeoplasms44World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see method

149、ology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 co

150、untries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Pr

151、ojected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable

152、 diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood

153、 pressure attributable to high BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase i

154、n GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activi

155、ty 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)ggorogrrog2.3%Annual growth rate in the projected numbers of children with high BMI 20202035(1)0.7%Annual growth rate in the projected numbers of adults with high BM

156、I 20202035Albania2020203531%56%163,068 228,071 11,956 21,075 5,521 8,039 15,074 22,9041.31.962.11.8936.6n/a73.966.748.5 81,871 3,120 8,929 75 26,643 1,301 23,622 1,007 5,276 232 400,000 800,000 1,200,000 1,600,000 2020202520302035AdultsChildren04000All other NCDsDiabetesCoronary HDStrokeN

157、eoplasms45World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN p

158、opulation projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)o

159、verweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults an

160、d children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes

161、mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to hi

162、gh BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)P

163、roportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of ani

164、mal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)oorrrrogoro4.4%Annual growth rate in the projected numbers of children with high BMI 20202035(1)2.9%Annual growth rate in the projected numbers of adults with high BMI 20202035Algeria2020203539

165、%62%4,480,040 8,572,081 385,402 858,534 155,833 306,977 437,953 888,6223.33.473.71.1051.533.683.826.232.1 1,175,127 36,085 234,202 2,890 397,896 15,642 202,711 6,022 34,889 1,427 7,500,000 15,000,000 22,500,000 30,000,000 2020202520302035AdultsChildren10,00020,00030,00040,000All other NCDsDiabetesCo

166、ronary HDStrokeNeoplasms46World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 202

167、4 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see

168、annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numb

169、ers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of

170、 which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure at

171、tributable to high BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissi

172、ons 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Co

173、nsumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)ggorgggss9.0%Annual growth rate in the projected numbers of children with high BMI 20202035(1)6.1%Annual growth rate in the projected numbers of adults with high BMI 20202035Ang

174、ola2020203515%34%1,849,560 6,696,391 108,711 467,529 60,669 225,032 159,730 609,2280.87.166.81.6722.7n/an/a13.920.2 259,775 6,972 71,468 1,375 40,972 1,342 71,961 1,990 9,374 323 3,000,000 6,000,000 9,000,000 12,000,000 2020202520302035AdultsChildren1,7503,5005,2507,000All other NCDsDiabetesCoronary

175、 HDStrokeNeoplasms47World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atla

176、s)and UN population projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex

177、in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of

178、 adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which

179、 diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attribut

180、able to high BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20

181、002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumpt

182、ion of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)ggogrrrr3.5%Annual growth rate in the projected numbers of children with high BMI 20202035(1)3.5%Annual growth rate in the projected numbers of adults with high BMI 20202035Antigua an

183、d Barbuda2020203515%29%2,777 4,650 400 670 108 181 339 567n/an/a24.4-1.3241.1n/a79.262.950.2 3,051 91 1,185 26 374 15 452 15 160 6 7,500 15,000 22,500 30,000 2020202520302035AdultsChildren255075100All other NCDsDiabetesCoronary HDStrokeNeoplasms48World Obesity Atlas 2024High BMI data:NCD Risk Factor

184、 Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,a

185、nd other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equiva

186、lent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due t

187、o high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which str

188、oke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia attributable to hi

189、gh BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual

190、 increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar

191、 and sweeteners 2021(kg per capita per year)oorgrrorogo0.8%Annual growth rate in the projected numbers of children with high BMI 20202035(1)1.7%Annual growth rate in the projected numbers of adults with high BMI 20202035Argentina2020203539%49%4,234,788 4,796,994 370,405 455,689 147,745 169,986 416,5

192、29 486,9284.21.392.10.1760.941.684.875.938.5 1,020,392 36,675 228,385 4,878 195,691 9,116 174,825 5,741 108,382 4,963 7,500,000 15,000,000 22,500,000 30,000,000 2020202520302035AdultsChildren10,00020,00030,00040,000All other NCDsDiabetesCoronary HDStrokeNeoplasms49World Obesity Atlas 2024High BMI da

193、ta:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlate

194、s:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WH

195、O reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deat

196、hs from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart di

197、sease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia

198、attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban a

199、reas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Co

200、nsumption of sugar and sweeteners 2021(kg per capita per year)oooggggrrgg1.0%Annual growth rate in the projected numbers of children with high BMI 20202035(1)0.7%Annual growth rate in the projected numbers of adults with high BMI 20202035Armenia2020203521%28%113,835 131,468 6,971 8,856 3,754 4,395 9

201、,948 11,8261.83.463.3-0.1719.322.677.756.450.5 123,057 4,463 30,167 703 46,429 2,117 17,301 586 7,990 335 350,000 700,000 1,050,000 1,400,000 2020202520302035AdultsChildren05000All other NCDsDiabetesCoronary HDStrokeNeoplasms50World Obesity Atlas 2024High BMI data:NCD Risk Factor Collabor

202、ation projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other

203、sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to B

204、MI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BM

205、I in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of wh

206、ich cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia attributable to high BMI of

207、 which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase

208、 in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and swee

209、teners 2021(kg per capita per year)rrrgoorrroo1.4%Annual growth rate in the projected numbers of children with high BMI 20202035(1)1.9%Annual growth rate in the projected numbers of adults with high BMI 20202035Australia2020203538%46%1,787,382 2,203,057 139,703 192,078 61,149 76,816 168,849 216,4321

210、5.9-0.786.20.0642.730.489.077.7104.2 523,193 18,712 105,848 1,917 101,852 5,498 50,459 1,831 74,685 3,588 4,500,000 9,000,000 13,500,000 18,000,000 2020202520302035AdultsChildren5,00010,00015,00020,000All other NCDsDiabetesCoronary HDStrokeNeoplasms51World Obesity Atlas 2024High BMI data:NCD Risk Fa

211、ctor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,F

212、AO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(eq

213、uivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs d

214、ue to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which

215、 stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia attributable t

216、o high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)An

217、nual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of s

218、ugar and sweeteners 2021(kg per capita per year)rrogrogrooo1.6%Annual growth rate in the projected numbers of children with high BMI 20202035(1)1.0%Annual growth rate in the projected numbers of adults with high BMI 20202035Austria2020203530%39%389,847 496,197 27,781 38,566 13,142 16,960 35,703 46,7

219、847.1-0.558.7-0.1965.330.177.867.240.9 203,239 8,982 42,631 875 47,412 2,930 17,975 651 23,894 1,214 1,250,000 2,500,000 3,750,000 5,000,000 2020202520302035AdultsChildren2,2504,5006,7509,000All other NCDsDiabetesCoronary HDStrokeNeoplasms52World Obesity Atlas 2024High BMI data:NCD Risk Factor Colla

220、boration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and oth

221、er sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent t

222、o BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high

223、 BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of

224、 which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia attributable to high BMI

225、 of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual incre

226、ase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and s

227、weeteners 2021(kg per capita per year)ooooooroo1.1%Annual growth rate in the projected numbers of children with high BMI 20202035(1)2.1%Annual growth rate in the projected numbers of adults with high BMI 20202035Azerbaijan2020203521%31%502,524 590,775 31,427 42,021 16,621 19,909 44,189 54,0713.2-0.5

228、56.40.3123.9n/an/a37.051.3 438,650 14,333 70,938 1,268 179,773 7,132 96,976 3,187 22,393 797 1,500,000 3,000,000 4,500,000 6,000,000 2020202520302035AdultsChildren4,0008,00012,00016,000All other NCDsDiabetesCoronary HDStrokeNeoplasms53World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaborati

229、on projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other sou

230、rces(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI

231、30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI i

232、n adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which

233、 cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia attributable to high BMI of wh

234、ich,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in

235、 urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeten

236、ers 2021(kg per capita per year)rgrrorogo0.2%Annual growth rate in the projected numbers of children with high BMI 20202035(1)1.9%Annual growth rate in the projected numbers of adults with high BMI 20202035Bahamas2020203541%54%37,786 38,908 3,414 3,859 1,326 1,391 3,762 4,018n/an/a83.20.1188.743.384

237、.467.646.1 15,392 441 4,364 79 2,541 89 2,331 70 933 35 75,000 150,000 225,000 300,000 2020202520302035AdultsChildren0All other NCDsDiabetesCoronary HDStrokeNeoplasms54World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Ins

238、titute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 16

239、1 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesit

240、y Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults at

241、tributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged

242、519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to hi

243、gh BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg p

244、er capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)rrrgogrroo1.4%Annual gro

245、wth rate in the projected numbers of children with high BMI 20202035(1)1.7%Annual growth rate in the projected numbers of adults with high BMI 20202035Bahrain2020203538%48%105,241 130,298 9,487 12,863 3,692 4,653 10,469 13,42922.1-0.189.50.0549.4n/a81.059.252.1 48,919 1,127 24,241 474 10,291 333 4,2

246、76 98 1,769 63 250,000 500,000 750,000 1,000,000 2020202520302035AdultsChildren3006009001200All other NCDsDiabetesCoronary HDStrokeNeoplasms55World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluat

247、ion Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,

248、high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour codi

249、ng in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-year

250、s lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035

251、Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of ob

252、esity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking

253、 insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)gggrgogggsr6.0%Annual growth rate in the projected numbers of

254、 children with high BMI 20202035(1)4.7%Annual growth rate in the projected numbers of adults with high BMI 20202035Bangladesh2020203513%33%5,946,677 14,280,437 399,037 1,110,340 198,663 488,134 534,266 1,346,5950.57.438.22.294.427.866.113.210.4 1,641,679 43,801 347,702 5,797 387,917 12,401 602,006 1

255、7,271 41,539 1,519 15,000,000 30,000,000 45,000,000 60,000,000 2020202520302035AdultsChildren12,50025,00037,50050,000All other NCDsDiabetesCoronary HDStrokeNeoplasms56World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for H

256、ealth Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries

257、where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation

258、 Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to

259、high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,20

260、20 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Envir

261、onmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Pr

262、oportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)ggrrgrroo2.1%Annual growth rate in t

263、he projected numbers of children with high BMI 20202035(1)1.4%Annual growth rate in the projected numbers of adults with high BMI 20202035Barbados2020203532%51%16,679 22,876 1,444 2,262 581 817 1,634 2,359n/an/a31.2-0.53106.542.981.862.282.9 13,475 451 5,395 145 1,688 75 1,888 69 1,241 54 40,000 80,

264、000 120,000 160,000 2020202520302035AdultsChildren0All other NCDsDiabetesCoronary HDStrokeNeoplasms57World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease d

265、atabase.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classi

266、fied as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the cou

267、ntry position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to hi

268、gh BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with hi

269、gh BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)

270、emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activit

271、y 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)rrrorgrrog1.5%Annual growth rate in the projected numbers of children with high BMI 2020203

272、5(1)0.3%Annual growth rate in the projected numbers of adults with high BMI 20202035Belarus2020203527%42%434,547 547,091 31,910 45,897 14,717 18,945 40,191 52,9945.60.479.50.6354.114.1n/a69.455.2 481,844 19,272 28,571 201 256,969 12,645 108,050 3,804 29,364 1,200 1,500,000 3,000,000 4,500,000 6,000,

273、000 2020202520302035AdultsChildren5,00010,00015,00020,000All other NCDsDiabetesCoronary HDStrokeNeoplasms58World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease databa

274、se.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified

275、as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country

276、position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BM

277、I in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BM

278、I Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emiss

279、ions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 201

280、6(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)rrrgrrorrgg-0.2%Annual growth rate in the projected numbers of children with high BMI 20202035(1

281、)1.0%Annual growth rate in the projected numbers of adults with high BMI 20202035Belgium2020203527%29%529,529 516,175 35,136 36,073 17,661 17,349 47,408 46,9758.2-2.098.10.0557.935.883.571.050.3 220,261 8,573 48,797 617 43,495 2,429 26,745 1,075 32,467 1,689 1,750,000 3,500,000 5,250,000 7,000,000 2

282、020202520302035AdultsChildren2,2504,5006,7509,000All other NCDsDiabetesCoronary HDStrokeNeoplasms59World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Child

283、ren with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1

284、 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position

285、 in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 201

286、9Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Number

287、s of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2

288、 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Prop

289、ortion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)ggrgooor2.5%Annual growth rate in the projected numbers of children with high BMI 20202035(1)3.1%Annual

290、growth rate in the projected numbers of adults with high BMI 20202035Belize2020203532%48%36,982 53,368 3,113 5,068 1,281 1,891 3,587 5,417n/an/a46.0-0.0353.6n/a80.341.345.5 10,670 298 3,944 91 1,618 58 1,521 45 480 17 60,000 120,000 180,000 240,000 2020202520302035AdultsChildren75150225300All other

291、NCDsDiabetesCoronary HDStrokeNeoplasms60World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see meth

292、odology in 2024 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25

293、countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).

294、Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicab

295、le diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blo

296、od pressure attributable to high BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase

297、 in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical acti

298、vity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)gggrgggggss7.7%Annual growth rate in the projected numbers of children with high BMI 20202035(1)5.4%Annual growth rate in the projected numbers of adults with high

299、 BMI 20202035Benin2020203515%31%684,022 2,073,984 42,107 149,611 22,576 70,046 59,869 190,6990.55.948.41.109.115.976.013.29.2 146,372 4,069 31,514 663 26,224 898 44,106 1,250 5,546 195 1,250,000 2,500,000 3,750,000 5,000,000 2020202520302035AdultsChildren1,2502,5003,7505,000All other NCDsDiabetesCor

300、onary HDStrokeNeoplasms61World Obesity Atlas 2024High BMI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024

301、 Atlas)and UN population projections.Environmental correlates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see a

302、nnex in Atlas)overweight is classified as BMI 2 s.d.above WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbe

303、rs of adults and children with high Body Mass Index(BMI)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of

304、which diabetes mellitus of which coronary(ischaemic)heart disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure att

305、ributable to high BMI of which,children with hyperglycaemia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissio

306、ns 20002015(%)Proportion of the population living in urban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Con

307、sumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)grggoogrr4.6%Annual growth rate in the projected numbers of children with high BMI 20202035(1)4.5%Annual growth rate in the projected numbers of adults with high BMI 20202035Bhut

308、an2020203515%40%29,981 58,886 2,147 4,931 1,011 2,039 2,750 5,700n/an/a42.32.9421.123.084.133.314.2 10,626 307 2,575 49 3,003 103 1,938 60 428 16 100,000 200,000 300,000 400,000 2020202520302035AdultsChildren0All other NCDsDiabetesCoronary HDStrokeNeoplasms62World Obesity Atlas 2024High B

309、MI data:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental corr

310、elates:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.abo

311、ve WHO reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI

312、)Deaths from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)hea

313、rt disease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglyca

314、emia attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in ur

315、ban areas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per d

316、ay)Consumption of sugar and sweeteners 2021(kg per capita per year)oooogrorro3.3%Annual growth rate in the projected numbers of children with high BMI 20202035(1)2.9%Annual growth rate in the projected numbers of adults with high BMI 20202035Bolivia2020203535%53%1,260,038 2,045,167 91,528 172,360 42

317、,602 70,878 116,123 198,4321.75.070.10.6821.1n/a85.542.085.2 274,472 8,981 78,240 2,065 45,133 1,795 51,737 1,596 18,537 739 1,750,000 3,500,000 5,250,000 7,000,000 2020202520302035AdultsChildren2,2504,5006,7509,000All other NCDsDiabetesCoronary HDStrokeNeoplasms63World Obesity Atlas 2024High BMI da

318、ta:NCD Risk Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlate

319、s:World Bank,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WH

320、O reference(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deat

321、hs from NCDs due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart di

322、sease of which stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia

323、attributable to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban a

324、reas 2020(%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Co

325、nsumption of sugar and sweeteners 2021(kg per capita per year)rrgooooog2.4%Annual growth rate in the projected numbers of children with high BMI 20202035(1)0.2%Annual growth rate in the projected numbers of adults with high BMI 20202035Bosnia and Herzegovina2020203527%47%136,639 195,425 9,160 16,063

326、 4,564 6,743 12,272 18,7915.53.549.00.74n/a25.5n/a39.645.7 161,923 5,845 46,645 1,129 39,899 1,948 34,400 1,358 13,039 572 400,000 800,000 1,200,000 1,600,000 2020202520302035AdultsChildren06000All other NCDsDiabetesCoronary HDStrokeNeoplasms64World Obesity Atlas 2024High BMI data:NCD Ris

327、k Factor Collaboration projections by RTI International.DALYs and deaths:Institute for Health Metrics and Evaluation Global Burden of Disease database.Children with NCD risk factors:World Obesity Federation(see methodology in 2024 Atlas)and UN population projections.Environmental correlates:World Ba

328、nk,FAO,and other sources(see methodology in 2024 Atlas).REFERENCES:(1)For 161 countries where data are available,high BMI in children is classified as BMI 1 s.d.above WHO reference(equivalent to BMI 25kg/m2).For 25 countries(see annex in Atlas)overweight is classified as BMI 2 s.d.above WHO referenc

329、e(equivalent to BMI 30kg/m2).(2)See methodology sections of the World Obesity Federation Atlas 2024(3)Colour coding in this table shows the country position in world ranking:highest(red),medium(amber),lowest(green).Projected numbers of adults and children with high Body Mass Index(BMI)Deaths from NC

330、Ds due to high BMI in adults 2019Non-communicable diseases(NCDs)in adults attributed to high BMI,2019 Person-years lost(DALYs)to NCDs due to high BMI in 2019Deaths from NCDs due to high BMI in 2019All non-communicable diseases of which diabetes mellitus of which coronary(ischaemic)heart disease of w

331、hich stroke of which cancers(neoplasms)Early signs of NCDs in children aged 519 years,2020 and 2035(1)(2)20202035Prevalence of children with high BMI Numbers of children with high BMI of which,children with high blood pressure attributable to high BMI of which,children with hyperglycaemia attributab

332、le to high BMI of which,children with low HDL cholesterol attributable to high BMI Environmental correlates of obesity(2)(3)Greenhouse gas(GHG)emissions CO2 equivalent 2015(tonnes per capita per year)Annual increase in GHG emissions 20002015(%)Proportion of the population living in urban areas 2020(

333、%)Annual increase in urbanisation 19952020(%)Plastic waste(latest year)(kg per capita)Proportion of adults taking insufficient physical activity 2016(%)Proportion of youth(age 1119y)taking insufficient physical activity 2016(%)Consumption of animal proteins 2021(grams per capita per day)Consumption of sugar and sweeteners 2021(kg per capita per year)ooorgrorsr6.2%Annual growth rate in the projecte