Mostly in Africa. It was quite difficult to find the exact diseases behind particular spikes of deaths, but some of them like Ebola got a lot of attention. Surprising enough, but it seems that in 2017 people suddenly stopped dying from diseases there.
Sadly I could not find what caused so many deaths in China in 1984. Just imagine the results I got when I searched for “china 1994 epidemics” – the overwhelming majority of articles about the current outbreak of coronavirus with some articles claiming that Chinese government is the one from Orwell’s novel.
What: Deaths due to epidemics When: 1980-2017 Where: 194 countries and regions Source: Institute for Health Metrics and Evaluation
As expected, the most dangerous regions are Africa and the Middle East. However, a single event in Rwanda pushed Sub-Saharan Africa to the first place. Also, half of the deaths from 1980 till 2017 occurred in only five countries (we hear a lot about them in the news).
The rest of the world is more or less peaceful.
What: Deaths due to war and terrorism. When: 1980-2017 Where: 194 countries and regions Source: Institute for Health Metrics and Evaluation
This is a slightly deeper look into “People die from heart diseases and cancer, so don’t be afraid of terrorism or viruses” idea.
What: Distribution of death by causes. When: 1990-2017. Where: Global data which seems to cover most of the world. Source: Institute for Health Metrics and Evaluation, Global Burden of Disease Study 2017 Results.
I have divided the countries of the world into regions and checked which of them have the highest expected percentage of a healthy life. It’s Oceania followed by East Asia. It would be great to live in Fiji, Tonga or Samoa!
But behold how diverse are the African countries and how homogenous are those from Europe!
What: Healthy life expectancy (HALE) divided by total life expectancy at birth – I’d call it the expected percentage of life to be healthy. Those strange charts show distribution – the wider it is the more values are there. HALE is a form of health expectancy that applies disability weights to health states to compute the equivalent number of years of good health that a newborn can expect. When: 2015 Where: 183 countries and territories. Source: FAO
What: indicated on the charts. Healthy life expectancy (HALE) is used for calculations. HALE is a form of health expectancy that applies disability weights to health states to compute the equivalent number of years of good health that a newborn can expect. When: all charts are 2017, except the last one which is 2015 because this is the latest data for HALE. Where: 189 countries and territories of the world. Source: FAO.
These are the trade flows between regions of the world measured in dollars. Strange enough – Africa does not provide much food for other regions. I have heard rumours, that Africans starve because they export all the food for rich Europeans! Maybe that’s not true, or maybe there is something specific about the trade flows measured. But according to this data, the Americas feed the world, and Asia is the one being fed.
What: Export of food items, measured in USD. Trade flows inside the region are eliminated. When: 2017 Where: 243 countries and territories divided into 6 regions, of which Antarctica was not displayed. Source: FAO
Well, there are some areas where the USA dominates the world. For example, they collect the majority of the money we spend on movies because they have Hollywood. They had almost half of one million most popular websites on the internet. Also, USD is the most traded world currency which takes almost half of the total traded value. Having in mind that one act of currency exchange requires two currencies we can safely assume, that almost all trades involved USD from one side or another.
Surprisingly (at least for me) it does not have the largest army, it is not the biggest CO2 producer, not the biggest car producer. Do you know any other indicators where the USA dominates the world?
What, When, Source: GDP in constant 2010 USD, 2018, WB Daily average of OTC foreign exchange turnover, 2019, BIS Market capitalization of stock exchanges by country, December 2019, WFE Military expenditure in constant 2017 USD, 2018, Stockholm International Peace Research Institute 945 472 of one million Alexa’s top-ranked websites by country, 2012, pingdom.com Total worldwide box office by country of movie production, 2019, the-numbers.com – very unreliable data, as written in the source itself – beta version.
Apparently those large provinces where Tibetans and Uyghurs live are scarcely populated and less developed, so they contribute only a tiny fraction to the population and GDP in China. All other autonomous regions are inhabited mostly by Han Chinese who make more than half of the population there. Mongolia does not look like Mongolia when only 17% of inhabitants are Mongols.
A bit of sadness after seeing this.
What: Population, GDP in current USD, area in km2, ethnic composition and Human Development Index. When: 2017 Where: Mainland China and its autonomous regions. Mainland China does not include Hong Kong, Macau and Taiwan. Source: All data was found on Wikipedia. Let’s hope it’s correct.
Natural disasters seem to be quite concentrated, more than half of all deaths during 1980-2017 have occurred in the same five countries and four of those five are in Asia. It is not possible to differentiate to smaller regions (like S.E. Asia, East Asia etc.) because a single tsunami or earthquake affects several regions at once.
The earthquake in Haiti seem to be the most deadly disaster for a single country, which makes up more than half of total deaths in Americas.
What: Deaths due to natural disasters When: 1980-2017 Where: 194 countries and regions Source: Institute for Health Metrics and Evaluation
We knew what to expect here, but it’s interesting to see it. The only thing unexpected to me is that South Korea has significantly more people. I thought it’s only a bit more.
What: 4 different indicators indicated on the infographic. HDI for North Korea was adjusted because the methodology has changed since its HDI was last published. When: Most indicators are for 2018, but the scarcity of data for North Korea forced me to use varying years for HDI and GDP. Where: The 2 Koreas Source: CIA, UNDP, UESCAP, W, WB, EIU and https://countryeconomy.com
I am not sure if everyone is aware that there are 5 countries in this world where the majority of people could be considered Chinese. How different are those Chinas? The people’s Republic of China is the biggest one, however it is less developed compared to other Chinas, and infamously less democratic. Hong Kong, Singapore and Macao are 100% urban populations because those Chinas are basically one-city countries. The Republic of China better known as Taiwan seems like a normal usual country – not too big, not too small.
To understand better differences between these countries, I encourage the reader to dive deeper into cultural, historical and even linguistic differences between these countries.
By the way, Australia, Canada, UK and USA are also very different countries!
What: 4 different indicators indicated on the infographic When: Time varies between 2017 and 2018 for different indicators and different Chinas Where: The 5 Chinas Source: CIA, UNDP, W, WB, IMF, EIU – most sources did not provide data for all 5 Chinas, so the data for one indicator might be gathered from various sources or even estimated by the author.
If we measure total hectares, then China is leading, followed by Canada, USA, Russia and India. Those countries are big, that’s why they manage to plant a lot. However this “planting” appeared to be a bad measure of how “forest loving” a country is because Brazil and Indonesia are significantly reducing their total forest area.
If we take the percentage of total land, then Sweden is leading, they planted 14,5% of their land area with trees. I even googled to see if this enormous number could be real, and seems it is, they even achieved Guinness world record in plating. However, this planting is made only to recover for what IKEA used because the total volume of forests increased only a bit in Sweden. It seems that Finland has quite a similar situation.
What: Planted forest and total forest area changes When: 1992 to 2017 Where: Top 15 by each measure. Some countries are not included, because for 1992 they did not have existing data, e.g. Czech and Slovak republics were still Czechoslovakia. It might be possible that one such country could appear in the top 15 by %. Source: FAO
After zooming in the axis, the constant decrease is clear. I don’t know whether 129 million hectares is a big deal or not, but we were happier if the trend were the opposite. However people are also planting forest, and since they cut more and more, they plant more and more too. Now the rate of planting is less than the rate of cutting, but I believe one day the trend will be reversed.
What: Land used as forest and types of forest. Mind the axis on the left graph which does not start at zero. When: 1990-2017 Where: The world Source: FAO
It’s true! And some crops are even grown for feeding the cattle, so, this division between land used to feed humans and land used to feed animals which are used to feed humans is even bigger than it seems from the first glimpse. But would we really save energy and resources if we all turn vegan?
What: Comparative shares of land area used as cropland and meadows & pastures. When: 2017 Where: The world Source: FAO
I was sure, that we have lots of buildings, but in reality, we have less than 0,7% of the land area covered with them. However, combining buildings and cropland, we changed almost 22% of the land area. Is that a lot? Subjective question!
The real percentage might be higher because I did not count grasslands used as pastures (which might have been forests before becoming grasslands), changing inland waters (shrinking Sea of Azov for example), growing deserts or barren land due to human activities. Let’s say, that those 22 percent is an obvious change even an alien would immediately identify with humans.
What: Land Cover according to European Spatial Agency Climate Change Initiative annual land cover maps, which were produced by the Université catholique de Louvain. When: 2015 Where: Land area of the whole planet including inland water. Source: FAO