At se gennem linjerne og visualisere den globale fattigdom

Hedebølge i Californien. Verdens klimakrise har enorme sundhedsmæssige konsekvenser. Alligevel samtænkes Danmarks globale klima- og sundhedsindsats i alt for ringe grad, mener tre  debattører.


Foto: Kevin Carter/Getty Images
Forfatter billede

To økonomer og statistikere i Verdensbanken gør forsøget og viser med grafik bl.a, at 95 pct. af alle dybt fattige, som lever for godt syv kr. om dagen, fortsat findes i Asien og Afrika syd for Sahara.

Af Johan Mistiaen og Juan Feng

Last month, while World Bank President Jim Yong Kim launched the gender data portal, U.S. Secretary of State Hillary Clinton remarked that “data not only measures progress, it inspires it”.

Indeed when data is both relevant and effectively communicated, it can help to inform policies, identify challenges, and catalyze changes and innovations that deliver development results.

With that goal in mind, we started an Open Data Lab. One of our objectives is to help the development community become more effective data communicators by experimenting with different data visualization techniques and tools.

The human brain finds it easier to process data and information if it is presented as an image rather than raw numbers or words. And visualizations that let and encourage users to interact with data can deepen their understanding of the information presented.

We decided to begin with data that defines our challenging work and mission: poverty reduction.

Over 20 years ago Martin Ravallion and Shaohua Chen with various collaborators along the way developed the now widely used methods, tools and indicators to monitor the population “living on less than 1,25 dollar (ca. 7,25 DKR) a day”.

Earlier this year they released the latest update of the World Bank’s global poverty monitoring data along with a re-vamped version of PovcalNet: an interactive on-line computational poverty analysis tool.

We downloaded the table with regional poverty estimates and used PovcalNet to calculate the results for additional poverty lines.

We then combined all the data in the three-panel visualization embedded below.

Læs videre på
http://blogs.worldbank.org/opendata/seeing-between-the-lines-visualizing-global-poverty-trends

Begynd fra den viste grafik.

Kilde: www.worldbank.org