1 billion people will join the global consumer class over the next 7 years. Our global data models provide detailed analysis by age, location, and spending power. It is accessible through MarketPro, API, or raw data for ultimate flexibility so that it can be seamlessly adapted to your organization's workflow.
Join our next webinar on June 16th (10 am EDT/4pm CEST) featuring Dr. Homi Kharas, Co-Founder and Senior Economic Advisor of World Data Lab for an in-depth discussion about how COVID-19 is expected to impact the world's poorest people as well as the implications this has for the UN Sustainable Development Goals.
According to our latest research, educational attainment rates in Kenya and Tanzania are expected to increase over the next decade. We've pioneered a new subnational education modeling methodology and piloted it in Kenya and Tanzania.
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.
The World Poverty Clock provides country-level poverty estimates and projections. Headline numbers on extreme poverty are not enough to support action. To provide organizations with the data necessary to design development policies and projects, it also offers subnational poverty forecasts for select countries.