Although democracy was starting to show signs of growth in some parts of the world, it was more of an idea, rather than an established or accepted system of government. Even at the start of the 19th century, for example, it’s estimated that the vast majority of the global population — roughly 84% of all people — still lived under in autocratic regimes or colonies that lacked the authority to self-govern their own affairs.
The Evolution of Rule
Today’s set of charts look at global governance, and how it’s evolved over the last two centuries of human history. Leveraging data from the widely-used Polity IV data set on political regimes, as well as the work done by economist Max Roser through Our World in Data, we’ve plotted an empirical view of how people are governed. Specifically, our charts break down the global population by how they are governed (in absolute terms), as well as by the relative share of population living under those same systems of government (percentage terms).
Classifying Systems of Government
The Polity IV data series defines a state’s level of democracy by ranking it on several metrics, such as competitive and open elections, political participation, and checks on authority. Polity scores are on a -10 to +10 scale, where the lower end (-10 to -6) corresponds with autocracies and the upper end (+6 to +10) corresponds to democracies. Below are five types of government that can be derived from the scale, and that are shown in the visualization.
A Long-Term Trend in Question
In the early 19th century, less than 1% of the global population could be found in democracies. In more recent decades, however, the dominoes have fallen — and today, it’s estimated that 56% of the world population lives in societies that can be considered democratic, at least according to the Polity IV data series highlighted above. While there are questions regarding a recent decline in freedom around the world, it’s worth considering that democratic governance is still a relatively new tradition within a much broader historical context. Will the long-term trend of democracy prevail, or are the more recent indications of populism a sign of reversion? on Today’s chart measures the extent to which 41 major economies are reopening, by plotting two metrics for each country: the mobility rate and the COVID-19 recovery rate: Data for the first measure comes from Google’s COVID-19 Community Mobility Reports, which relies on aggregated, anonymous location history data from individuals. Note that China does not show up in the graphic as the government bans Google services. COVID-19 recovery rates rely on values from CoronaTracker, using aggregated information from multiple global and governmental databases such as WHO and CDC.
Reopening Economies, One Step at a Time
In general, the higher the mobility rate, the more economic activity this signifies. In most cases, mobility rate also correlates with a higher rate of recovered people in the population. Here’s how these countries fare based on the above metrics. Mobility data as of May 21, 2020 (Latest available). COVID-19 case data as of May 29, 2020. In the main scatterplot visualization, we’ve taken things a step further, assigning these countries into four distinct quadrants:
1. High Mobility, High Recovery
High recovery rates are resulting in lifted restrictions for countries in this quadrant, and people are steadily returning to work. New Zealand has earned praise for its early and effective pandemic response, allowing it to curtail the total number of cases. This has resulted in a 98% recovery rate, the highest of all countries. After almost 50 days of lockdown, the government is recommending a flexible four-day work week to boost the economy back up.
2. High Mobility, Low Recovery
Despite low COVID-19 related recoveries, mobility rates of countries in this quadrant remain higher than average. Some countries have loosened lockdown measures, while others did not have strict measures in place to begin with. Brazil is an interesting case study to consider here. After deferring lockdown decisions to state and local levels, the country is now averaging the highest number of daily cases out of any country. On May 28th, for example, the country had 24,151 new cases and 1,067 new deaths.
3. Low Mobility, High Recovery
Countries in this quadrant are playing it safe, and holding off on reopening their economies until the population has fully recovered. Italy, the once-epicenter for the crisis in Europe is understandably wary of cases rising back up to critical levels. As a result, it has opted to keep its activity to a minimum to try and boost the 65% recovery rate, even as it slowly emerges from over 10 weeks of lockdown.
4. Low Mobility, Low Recovery
Last but not least, people in these countries are cautiously remaining indoors as their governments continue to work on crisis response. With a low 0.05% recovery rate, the United Kingdom has no immediate plans to reopen. A two-week lag time in reporting discharged patients from NHS services may also be contributing to this low number. Although new cases are leveling off, the country has the highest coronavirus-caused death toll across Europe. The U.S. also sits in this quadrant with over 1.7 million cases and counting. Recently, some states have opted to ease restrictions on social and business activity, which could potentially result in case numbers climbing back up. Over in Sweden, a controversial herd immunity strategy meant that the country continued business as usual amid the rest of Europe’s heightened regulations. Sweden’s COVID-19 recovery rate sits at only 13.9%, and the country’s -93% mobility rate implies that people have been taking their own precautions.
COVID-19’s Impact on the Future
It’s important to note that a “second wave” of new cases could upend plans to reopen economies. As countries reckon with these competing risks of health and economic activity, there is no clear answer around the right path to take. COVID-19 is a catalyst for an entirely different future, but interestingly, it’s one that has been in the works for a while. —Carmen Reinhart, incoming Chief Economist for the World Bank Will there be any chance of returning to “normal” as we know it?
