The impact of COVID-19 and its effects on our social and economic systems are yet to be determined. As data comes in, we update our numbers to provide the world with actionable data on poverty and the global middle class so that organizations and decisions-makers can plan for a changing world with accuracy and confidence.
Our recent webinar goes into detail about global middle class spending trends post-COVID. Other insights include the economic impact of the coronavirus on spending, the most impacted age groups, and which regions of the world will be the most affected.
Senior Economic Advisor and Co-Founder Dr. Homi Kharas discusses how the effects of COVID-19 are expected to impact extreme poverty and the implications this has for the Sustainable Development Goals.
Our latest research indicates that the African Middle Class is expected to decrease by around 8 million due to the effects of COVID-19.
The United States is special as it has a disproportionate share of people who spend more than $110 per day (in 2011 purchasing power adjusted dollars)—a commonly used international threshold for being considered “rich.” Even though the number of affluent Americans has shrunk by more than 12 percent since the coronavirus outbreak, there are still more than 100 million Americans who spend at least $110 a day.
Our post-COVID-19 estimate is that extreme poverty in the world will rise this year by about 50 million people compared to the original 2020 forecast, and by 40 million people compared to our 2019 estimate.
In this blog post we examine London using our AgeSpot dataset to explore the changing age profile of the city over the next decade as well as identify areas with the highest concentration of seniors at the city block level (50 x 50 m²).
In a recent blog post on Brookings, we looked at the latest COVID-19 figures from China to provide a mortality perspective on the virus that's changing the world. In China, the age at which people died from COVID-19 was very similar to the age at which people died normally.
Using data provided by Facebook's Data For Good Initiative, we mapped the location of Peru's COVID-19 vulnerable population (60+) and the location of hospitals in the country.
Italy has been one of the countries hardest hit by COVID-19. Using Population Density Maps from Facebook's Data For Good initiative, we've created detailed maps of Italy showing the distribution of the age 60 and over population throughout the country.
Around 25 million people in Germany are 60+. We've mapped German regions where the concentration and number of people in this age group are high.
Austria continues to strengthen its COVID-19 measures. According to the UN, older people (60+) are more susceptible to the coronavirus so we've mapped how this age group is distributed all over Austria.
We plotted the age distribution of Italians vs. COVID-19 cases and deaths in Italy to get a proper perspective on the severity of how the coronavirus is impacting the country.
Looking at the age distribution of deaths in China from COVID-19 vs. other causes, we can gauge the impact the virus has on different age groups.