Above is two snapshots of the number of people living in extreme poverty for various countries around the world. Countries are colored by the geographic region they are in — East Asia & Pacific, South Asia, etc. The first snapshot is from 1993 and the other is 20 years later in 2013. What is striking the decrease in extreme poverty in China and for the East Asia/Pacific region generally. For a comparison, China and India have comparable population 1.4 billion and 1.3 billion respectively — however, China has been much more successful in lifting a much larger proportion of its citizens out of poverty; presumably due to double-digit GDP growth year after year over this period.
Another comparison: Africa has a population of 1.2 billion, again comparable in size to both India and China. Yet, the number of people in extreme poverty has actually increased over the past 20 years with the largest gains coming from Nigeria (Africa’s most populous country) and the Democratic Republic of the Congo. Economic growth numbers are typically hard to come by for many countries in Africa due to a large proportion of the workforce working in the informal economy (black market). Although, the poverty numbers (shown above) and the GDP per capita estimates (shown below) seem to indicate that African’s experienced negative GDP per capita growth throughout the 1970s, 1980s, and early 1990s.
The map above is color-coded by each country’s largest export. Most countries are grouped into a few categories: Fuel, Food, Transportation, Electronics, or Mineral exports. Europe is a large exporter of cars, East Asia of Computers/Electronics, Sub-Sahara Africa of Minerals and Food. The largest export in the world and the one involved with the most countries is Petroleum/Fuel. It is the largest export in the Middle East, North Africa, India, Russia, the US, and Canada.
The map above is color-coded by each country’s largest import. Most countries are grouped into a few categories: Fuel, Food, Transportation, or Electronics imports. The western world’s (the US, Canada, western Europe, Australia) largest import is Transportation/Cars. Developing Asia and Latin America’s largest import is Fuel/Petroleum. Northern Africa is an importer of Food and Southeast Asia an importer of Electronics.
Above is a map of Europe displaying whether a country has a GDP per capita less than or greater than Turkey. The data is from the IMF in Oct 2017. Turkey has a GDP per capita of $24,912 at Purchasing Power Parity (PPP). The data displays the income divide Europe where all of western Europe and Russia (labeled in Blue) have a higher standard of living than Turkey and most the former USSR and former Yugoslavia countries (labeled Red) have a lower standard of living than Turkey. The income differences help to explain some of the internal migration within Europe.
Above is a map of the world displaying each country’s currency projected on top of the country’s territory. There are 180 currencies in the world – the British pound is the world’s oldest currency that’s still in use, dating back to the 8th century! Despite all these currencies, the exchange market is dominated by only a few (shown in the bar chart below). The US dollar and Euro makeup between 60-70 percent of the market and additionally about 30 percent of the world use the USD/Euro or have their currency pegged to one of them.
Above is a map of Europe (broken into sub-country subdivisions) displaying the number of patent applications per one million people. This measure can be used as an innovation proxy metric. It appears that southern Germany, Switzerland, and Southern Scandavaniva are the most innovative locations within Europe.
The above map was created on howmuch.net (https://howmuch.net/) showing how much a working class family can save or be indebted living in various cities across the United States. The software allows you to select different criteria – such as the number of working adults in the household, how much they earn, the number of children, amount spent on food, and size of the house in square feet – the algorithm then produces a map (such as the one above) that displays where the most and least affordable places for your family to live. The size of the bubbles are a larger dark shade of red for unaffordable locations or are a larger dark shade of green for affordable locations. For example, the map above is generated for a family of four with two incomes – a home appliance repairer and a manicurist/pedicurist with a low-cost food plan living in a 1500 sq ft home. This family would need an additional $91.2K annually to afford to live in New York City or additional $83.3K to live in San Francisco. Conversely, the family could save $10.1K annually if they lived in Glendale, Arizona.
Above is a graph displaying the percentage of people that commute by public transit on the x-axis and the percentage commuting by car on the y-axis for various cities around the United States. The size of the bubble relates the workforce population of each city. There doesn’t appear to be a relationship between the size of the city’s population and the percentage of those taking public transit, but if one looks at city density a relationship is clear. Of the top 20 cities in the US by population, the highest density in order are: New York City, San Francisco, Boston, Chicago, Miami, Philadephia, and Washington DC. With exception of Miami (commute data not listed), all of top 6 highest density cities also have the highest fraction of their workforce commuting by public transit.
Above is a comparison of GDP per capita (nominal) figures for BRIC countries – that is, Brazil, Russia, India, and China. The data displayed ranges from 1980 through 2016. A few things stand out, both Brazil and Russia’s economies were overvalued post-2007 financial crisis, driven by high oil prices that have regressed back to the mean and inflated currently values. China economy has leveled off in recent years and India is still much poorer than the other three BRIC economies, yet show promise moving forward.
Above is a map displaying the unemployment rate for European Union member states as of May 2017. What sticks out is the slow economic recovery for the southern European states post-financial crisis, such as: Greece (with an unemployment rate of) 22.5%, Spain 17.5%, Itlay 11.3%, and Croatia 10.7%. Contrast this with the unemployment rate in the United States during the same period of 4.3%. The EU average unemployment rate stands at 7.8%, nearly twice as high of the US! An economic analysis of labor policies in most EU countries leads to this result as there is less fixability in the labor force among other factors. Despite this performance for the European Union as a whole, some countries are performing above average and are on par with the US in employment rate such as: Germany, Austria, Czech Republic, UK, Poland, and others.