DATA STORIES
Data is more approachable when there is a story involved. Our data narratives communicate clear, forceful and timely messages. They are constructed from selected socioeconomic topics. Evidence and data visualizations are used to enrich their transmedia content.
LATEST STORIES
The sudden stop of the global economy was followed by a dramatic, and somewhat obvious, decrease of greenhouse gas emissions.
The sudden stop of the global economy during the pandemic was followed by a dramatic decrease of Greenhouse gas emissions (GHG).
Travel restrictions were imposed and borders were closed around the world. According to data, in 2020 there was a drop of 74% in international passengers.
This brief discusses how incomplete data holds women back, and if more data were available, better solutions could be devised.
Data shows that workplaces, transit centers and recreational locations show significant decreases in mobility since the pandemic started.
Why does limited gender data holds back women’s progress? Learn more in this graphic story.
Unequal access to economic opportunities and gender-based violence have been fueled during COVID-19.
During COVID-19 times, for every 100 men aged 25 to 34 living under extreme poverty, meaning living on 1.90 USD a day or less, 118 are women.
This graphic story helps understand how the pandemic increased unequal distribution of unpaid care work.
When it comes to time use and the care economy in times of COVID-19, women spend 4.1 hours per day on unpaid domestic and care work during the pandemic.
Recovery from COVID-19 in rich countries and low and middle-income economies reveal an enormous gap that is likely to increase.
Learn more about women’s inactivity during COVID-19 in this graphic story that explores who the pandemic affected women in the Global South.
LATEST NEWS
Thanks to the quick actions of the COVAX initiative, countries like Chile have taken the lead when offering vaccines.
Learn through this video how the COVID-19 pandemic crisis revealed gender gaps on poverty on the Global South.
How did domestic and international flight departures in Malaysia, Argentina, Peru, Indonesia, and South Africa behave?