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	<title>Wellbeing &#8211; Worldmapper</title>
	<atom:link href="https://worldmapper.org/product-category/health/wellbeing/feed/" rel="self" type="application/rss+xml" />
	<link>https://worldmapper.org</link>
	<description>the world as you&#039;ve never seen it before</description>
	<lastBuildDate>Mon, 10 Feb 2020 09:41:51 +0000</lastBuildDate>
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	<item>
		<title>Obese Children</title>
		<link>https://worldmapper.org/maps/obese-children-2015/</link>
					<comments>https://worldmapper.org/maps/obese-children-2015/#respond</comments>
		
		<dc:creator><![CDATA[tina-gotthardt]]></dc:creator>
		<pubDate>Mon, 03 Feb 2020 15:26:41 +0000</pubDate>
				<guid isPermaLink="false">https://worldmapper.org/?post_type=product&#038;p=10667</guid>

					<description><![CDATA[The highest number of obese children lives in China (&#62;28 million), followed by the United States of America (&#62;13 million), India (&#62;7.5 million), Brazil (&#62;5.2 million) and Mexico (&#62;5.1 million). Egypt, Indonesia, Turkey, Pakistan and Iraq complete the top 10 countries. China's prevalence is with 11.7% rather average, the high absolute number is a result of the big population.

The highest prevalence among children is recorded on the Pacific island states of Nauru and Palau (both &#62;30%), Tonga, Kiribati and the Marshall Islands (all above 23%). Kuwait, Samoa, the United States and Micronesia all have an obesity prevalence of more than 20%.

Overall the world is split in three parts, 22 countries have a prevalence of 15% or more, among them mostly developing countries, with the exception of developed and emerging economies  like United States of America, New Zealand, Chile, Argentina and UAE. The middle field - 5-15% is mixed, all EU states are here. Among those Greece has with 13.8 the highest prevalence, followed by Italy (12.5) and Hungary (11.1). The lowest prevalence among the EU countries was estimated for Estonia (6.3)

On the lowest end - below 5% prevalence of obesity - you find (with only the exception Japan with 3.3) the poorest countries in the world, most Sub-Sahara African countries are among those, plus some South-East and Central Asian states where malnutrition is still a bigger problem than obesity.

According to the <a href="http://www.euro.who.int/en/health-topics/noncommunicable-diseases/obesity/data-and-statistics" target="_blank" rel="noopener noreferrer">WHO</a>: <em>" Estimates of the number of overweight infants and children in the WHO European Region rose steadily from 1990 to 2008. Over 60% of children who are overweight before puberty will be overweight in early adulthood. Childhood obesity is strongly associated with risk factors for cardiovascular disease, type 2 diabetes, orthopaedic problems, mental disorders, underachievement in school and lower self-esteem. The worldwide prevalence of obesity nearly doubled between 1980 and 2008. According to country estimates for 2008, over 50% of both men and women in the WHO European Region were overweight, and roughly 23% of women and 20% of men were obese. Based on the latest estimates in European Union countries, overweight affects 30-70% and obesity affects 10-30% of adults."</em>]]></description>
										<content:encoded><![CDATA[<p><strong>This map shows each country proportional to the numbers of obese children (5-19 years old) living there in 2015.</strong></p>
<p><em>Data sources<br />
</em>This map uses data by <a href="http://apps.who.int/gho/data/node.main.BMIPLUS2C?lang=en" target="_blank" rel="noopener noreferrer">WHO</a> (last accessed February 2019). We aim to map as complete data as possible and therefore estimate data for missing values. In some cases, missing data for very small territories is not used in the cartogram and that area is therefore omitted in the map.</p>
<p>Further notes on the data, as well as all modifications to the original data source are noted in our data sheets.</p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Adults with Diabetes</title>
		<link>https://worldmapper.org/maps/disease-adults-diabetes-2017/</link>
					<comments>https://worldmapper.org/maps/disease-adults-diabetes-2017/#respond</comments>
		
		<dc:creator><![CDATA[tina-gotthardt]]></dc:creator>
		<pubDate>Fri, 29 Mar 2019 08:33:21 +0000</pubDate>
				<guid isPermaLink="false">https://worldmapper.org/?post_type=product&#038;p=10770</guid>

					<description><![CDATA[The highest absolute number of adults (18+ years) living with diabetes can be found in China, followed by India, the United States of America, Brazil and Mexico. Indonesia, Russia, Germany, Egypt and Japan complete the top 10. When it comes to per cent of the population, the population of the small Pacific island lives in the highest danger of Diabetes: Marshall Islands (31% of the adult population), Tuvalu (27%) and Niue (24%) lead here. Saudia Arabia is the first non Island state on place 11 with just above 18%. The first European country is Malta with 13%. The European country with the lowest prevalence is Greenland (2.5%), followed by Ireland (4%) and Lithuania (5.5%). Among the five countries with the highest absolute number of adults with Diabetes, Mexico has the highest prevalence (14%), followed by the United States (13%), China (11%), Brazil (9%) and India 8%).

The highest expenditure per patient with Diabetes is spent in Norway (~13.000 USD per year), followed by Switzerland (~12.500 USD), United States of America (~12.000 USD), Luxembourg (11.000) and Monaco (10.000 USD). The lowest mean expenditure can be found in Madagascar (27 USD), followed by Central African Republic (29 USD) and Myanmar (35%). The United States of America has the highest total expenditure (just below 3 billion USD), followed by China, Japan, Germany and France.

According to the <a href="https://diabetesatlas.org/faq.html" target="_blank" rel="noopener noreferrer">Diabetes Atlas</a>: <em>"The North America and Caribbean Region has the highest regional prevalence of diabetes (15.4%). In this region, 1 in 8 adults has diabetes.Increasing prevalence of type 2 diabetes is associated with higher levels of urbanisation, ageing populations, and more sedentary lifestyles, including obesity, insufficient physical activity and a higher intake of unhealthy foods. The causes of the increased incidence of type 1 diabetes are not clear. </em><em>Increasing prevalence of type 2 diabetes is associated with higher levels of urbanisation, ageing populations, more sedentary lifestyles, including obesity, insufficient physical activity and a higher intake of unhealthy foods. The causes of the increased incidence of type 1 diabetes are not clear."</em>

&#160;]]></description>
										<content:encoded><![CDATA[<p><strong>This map shows each country proportional to the numbers of adults with obesity (over 18 years old) living there in 2017. </strong></p>
<p><em>Data sources<br />
</em>This map uses data by <a href="https://diabetesatlas.org">Diabetes Atlas</a> (last accessed March 2019). We aim to map as complete data as possible and therefore estimate data for missing values. In some cases, missing data for very small territories is not used in the cartogram and that area is therefore omitted in the map.</p>
<p>Further notes on the data, as well as all modifications to the original data source are noted in our data sheets.</p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Obesity Prevalence in Children</title>
		<link>https://worldmapper.org/maps/obese-children-relative-2015/</link>
					<comments>https://worldmapper.org/maps/obese-children-relative-2015/#respond</comments>
		
		<dc:creator><![CDATA[tina-gotthardt]]></dc:creator>
		<pubDate>Sat, 02 Mar 2019 21:39:04 +0000</pubDate>
				<guid isPermaLink="false">https://worldmapper.org/?post_type=product&#038;p=10694</guid>

					<description><![CDATA[The highest number of obese children lives in China (&#62;28 million), followed by the United States of America (&#62;13 million), India (&#62;7.5 million), Brazil (&#62;5.2 million) and Mexico (&#62;5.1 million). Egypt, Indonesia, Turkey, Pakistan and Iraq complete the top 10 countries. China's prevalence is with 11.7% rather average, the high absolute number is a result of the big population.

The highest prevalence among children is recorded on the Pacific island states of Nauru and Palau (both &#62;30%), Tonga, Kiribati and the Marshall Islands (all above 23%). Kuwait, Samoa, the United States and Micronesia all have an obesity prevalence of more than 20%.

Overall the world is split in three parts, 22 countries have a prevalence of 15% or more, among them mostly developing countries, with the exception of developed and emerging economies  like United States of America, New Zealand, Chile, Argentina and UAE. The middle field - 5-15% is mixed, all EU states are here. Among those Greece has with 13.8 the highest prevalence, followed by Italy (12.5) and Hungary (11.1). The lowest prevalence among the EU countries was estimated for Estonia (6.3)

On the lowest end - below 5% prevalence of obesity - you find (with only the exception Japan with 3.3) the poorest countries in the world, most Sub-Sahara African countries are among those, plus some South-East and Central Asian states where malnutrition is still a bigger problem than obesity.

According to the <a href="http://www.euro.who.int/en/health-topics/noncommunicable-diseases/obesity/data-and-statistics" target="_blank" rel="noopener noreferrer">WHO</a>: <em>" Estimates of the number of overweight infants and children in the WHO European Region rose steadily from 1990 to 2008. Over 60% of children who are overweight before puberty will be overweight in early adulthood. Childhood obesity is strongly associated with risk factors for cardiovascular disease, type 2 diabetes, orthopaedic problems, mental disorders, underachievement in school and lower self-esteem. The worldwide prevalence of obesity nearly doubled between 1980 and 2008. According to country estimates for 2008, over 50% of both men and women in the WHO European Region were overweight, and roughly 23% of women and 20% of men were obese. Based on the latest estimates in European Union countries, overweight affects 30-70% and obesity affects 10-30% of adults."</em>]]></description>
										<content:encoded><![CDATA[<p><strong>This map shows each country proportional to the numbers of obese children (5-19 years old) living there in 2015. The colour layer shows the prevalence.</strong></p>
<p><em>Data sources<br />
</em>This map uses data by <a href="http://apps.who.int/gho/data/node.main.BMIPLUS2C?lang=en" target="_blank" rel="noopener noreferrer">WHO</a> (last accessed February 2019). We aim to map as complete data as possible and therefore estimate data for missing values. In some cases, missing data for very small territories is not used in the cartogram and that area is therefore omitted in the map.</p>
<p>Further notes on the data, as well as all modifications to the original data source are noted in our data sheets.</p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Life Expectancy Growth 2015-2050</title>
		<link>https://worldmapper.org/maps/life-expectancy-growth-2015-2050/</link>
					<comments>https://worldmapper.org/maps/life-expectancy-growth-2015-2050/#respond</comments>
		
		<dc:creator><![CDATA[tina-gotthardt]]></dc:creator>
		<pubDate>Fri, 18 Jan 2019 14:06:51 +0000</pubDate>
				<guid isPermaLink="false">https://worldmapper.org/?post_type=product&#038;p=10619</guid>

					<description><![CDATA[The highest increase in life expectancy between 1950 and 2015 was recorded in Central African Republic (∽24 years), followed by Lesotho (∽23 years),  Equatorial Guinea (∽22 years), Nigeria (∽21 years) and Swaziland (∽20 years). Cameroon, Mozambique, Guinea, Chad and the Democratic Republic of Congo complete the all African top 10. Countries with an already large life expectancy therefore become smaller while those countries with large populations and major improvements are the largest in these images. In absolute years (life expectancy growth x population) India is leading the table with more than 10 billion extra life years, followed by China, Nigeria, Democratic Republic of Congo and the USA.
Overall the <a href="http://hdr.undp.org/" target="_blank" rel="noopener noreferrer">2018 Human Development Report</a> (HDR) reported 11 countries with a life expectancy of less than 60 years. All of them are in Africa. The Central African Republic, Sierra Leone and Chad are among those with a life expectancy of below 55 years.

<a href="https://worldmapper.org/life-is-life/">Read more about this map in our blog</a>]]></description>
										<content:encoded><![CDATA[<p><strong>Territory size shows the proportion of the extra years of life lived by their population through increases in life expectancy between 2015 and 2050.</strong></p>
<p><em>Data sources</em></p>
<p>This map uses data by the United Nations, Department of Economic and Social Affairs, Population Division (2017). <a href="https://population.un.org/wpp/Download/Standard/Mortality/" target="_blank" rel="noopener noreferrer">World Population Prospects</a>: The 2017 Revision, DVD Edition (last accessed January 2019).</p>
<p>We aim to map as complete data as possible and therefore estimate data for missing values. In some cases, missing data for very small territories is not used in the cartogram and that area is therefore omitted in the map. Further notes on the data, as well as all modifications to the original data source are noted in our data sheets.</p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Life Expectancy Growth 1950-2015</title>
		<link>https://worldmapper.org/maps/life-expectancy-growth-1950-2015/</link>
					<comments>https://worldmapper.org/maps/life-expectancy-growth-1950-2015/#respond</comments>
		
		<dc:creator><![CDATA[tina-gotthardt]]></dc:creator>
		<pubDate>Fri, 18 Jan 2019 13:39:56 +0000</pubDate>
				<guid isPermaLink="false">https://worldmapper.org/?post_type=product&#038;p=10613</guid>

					<description><![CDATA[The highest increase in life expectancy between 1950 and 2015 was recorded in the Maldives (∽43 years), followed by Oman(∽41 years),  East Timor(∽39 years), Bhutan(∽37 years) and Tunisia(∽36 years). Nepal, Afghanistan, Iran, Libya, Turkey complete the top 10. Countries with an already large life expectancy therefore become smaller while those countries with large populations and major improvements are the largest in these images. In absolute years (life expectancy growth x population) China is leading the table with more than 45 billion life years, followed by India, Indonesia, Pakistan and Bangladesh.
Overall the <a href="http://hdr.undp.org/" target="_blank" rel="noopener noreferrer">2018 Human Development Report</a> (HDR) reported 11 countries with a life expectancy of less than 60 years. All of them are in Africa. The Central African Republic, Sierra Leone and Chad are among those with a life expectancy of below 55 years.

<a href="https://worldmapper.org/life-is-life/">Read more about this map in our blog</a>]]></description>
										<content:encoded><![CDATA[<p><strong>Territory size shows the proportion of the extra years of life lived by their population through increases in life expectancy between 1950 and 2015.</strong></p>
<p><em>Data sources</em></p>
<p>This map uses data by the United Nations, Department of Economic and Social Affairs, Population Division (2017). <a href="https://population.un.org/wpp/Download/Standard/Mortality/" target="_blank" rel="noopener noreferrer">World Population Prospects</a>: The 2017 Revision, DVD Edition (last accessed January 2019).</p>
<p>We aim to map as complete data as possible and therefore estimate data for missing values. In some cases, missing data for very small territories is not used in the cartogram and that area is therefore omitted in the map. Further notes on the data, as well as all modifications to the original data source are noted in our data sheets.</p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Alcohol Consumption</title>
		<link>https://worldmapper.org/maps/alcohol-consumption/</link>
					<comments>https://worldmapper.org/maps/alcohol-consumption/#respond</comments>
		
		<dc:creator><![CDATA[tina-gotthardt]]></dc:creator>
		<pubDate>Wed, 14 Nov 2018 08:15:08 +0000</pubDate>
				<guid isPermaLink="false">https://worldmapper.org/?post_type=product&#038;p=10304</guid>

					<description><![CDATA[The average Western European drinks over a third more alcohol than the average person living in any other region.

The highest per capita consumption is found in Moldova (15.2 litres of pure alcohol), followed by Lithuania, Czech Republic, Germany and Nigeria. Nigeria is the only non European country in the top 15. More than 40 countries account more than 10 litres per capita.

The lowest alcohol consumption per person is found in Southern Asia, where on average people drink less than a third of the average consumption elsewhere. India is big on the map, but below average in per capita consumption (5.7 litres) because of the large population.

In some territories there is practically no alcohol consumption. Many Middle Eastern and Northern African territories are not visible on the map for that reason. In contrast, China, India, the United States and the Russian Federation have the largest areas on the map, because the most alcohol is consumed there by large populations.

&#160;]]></description>
										<content:encoded><![CDATA[<p><strong>This map shows the proportion of worldwide alcohol, adjusted for absolute alcohol content, that was drunk there in 2016 (by population age 15 and older)</strong></p>
<p><em>Data sources<br />
</em>This map uses data by <a href="https://data.worldbank.org/indicator/SH.ALC.PCAP.LI" target="_blank" rel="noopener noreferrer">World Bank Indicators</a> (last accessed November 2018). We aim to map as complete data as possible and therefore estimate data for missing values. In some cases, missing data for very small territories is not used in the cartogram and that area is therefore omitted in the map.</p>
<p>Further notes on the data, as well as all modifications to the original data source are noted in our data sheets. Data for this map will soon be available as a download.</p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Happy Planet Index</title>
		<link>https://worldmapper.org/maps/grid-happyplanetindex-2016/</link>
					<comments>https://worldmapper.org/maps/grid-happyplanetindex-2016/#respond</comments>
		
		<dc:creator><![CDATA[Worldmapper]]></dc:creator>
		<pubDate>Tue, 26 Jun 2018 17:21:40 +0000</pubDate>
				<guid isPermaLink="false">https://worldmapper.org/?post_type=product&#038;p=9270</guid>

					<description><![CDATA[The Happy Planet Index aims to measure well-being and happiness by taking a universal and long-term approach to understanding, how efficiently people in a country are using the environmental resources to live long and happy lives. The indicators that are used for calculating the HPI score cover life-satisfaction, life expectancy, inequality of outcomes and the ecological footprint.
When taking these notions into account, the rich industrialised countries score much worse in achieving sustainable well-being for all. Of the 140 countries included in the HPI, Luxembourg is the most extreme example for a wealthy nation scoring very badly: The country does well on life expectancy and well-being, and also has low inequality, but sustains this lifestyle with the largest ecological footprint per capita of any country in the world. Amongst the positive stories is Costa Rica, which is also highlighted in the map. The country has persistently scored highest in all HPI releases (the 2016 edition is the third, after 2009 and 2012). More of a surprise might be the high score for Mexico (2nd), which is credited to massive efforts into improving health and environmental sustainability.
<a href="https://worldmapper.org/happy-planet-index/">Read more about this map in our blog</a>]]></description>
										<content:encoded><![CDATA[<p><strong>This map shows the land surface resized by its population with each country&#8217;s Happy Planet Index score value superimposed. Each transformed grid cell in the map is proportional to the total number of people living in that area. The Happy Planet Index shows how well nations are doing at achieving long, happy, sustainable lives.</strong></p>
<p><em>Data sources</em><br />
This map uses population estimates for the year 2020 based on data from the <a href="http://sedac.ciesin.columbia.edu/data/collection/gpw-v4" target="_blank" rel="noopener">Gridded Population of the World (GPW), v4</a> at 0.25 degree resolution, released by SEDAC (Socioeconomic Data and Applications Center). The map overlay uses data of the <a href="http://happyplanetindex.org/countries" target="_blank" rel="noopener">Happy Planet Index 2016 report</a> published by the <a href="https://neweconomics.org" target="_blank" rel="noopener">New Economics Foundation</a> (accessed June 2018).</p>
]]></content:encoded>
					
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