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 most recent webinar went into detail about global middle class spending trends post-COVID. Other insights included the economic impact of the coronavirus on spending, the most impacted age groups, and which regions of the world will be the most affected.
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.