lunedì 13 marzo 2017

Affordable Housing
Access to good-quality affordable housing is a fundamental need and key to achieving a number of social policy objectives, including reducing poverty and enhancing equality of opportunity, social inclusion and mobility. Housing needs are frequently unmet, and today a significant number of people across the OECD are homeless and too many households live in low-quality dwellings or face housing costs they can ill afford. The Affordable Housing Database (AHD) has been developed to help countries monitor access to good-quality affordable housing and strengthen the knowledge base for policy evaluation. It brings together cross-national information from OECD countries and EU member states. 


The database currently includes indicators grouped along three main dimensions: housing market context, housing conditions, and public policies towards affordable housing. Each indicator presents data on a particular issue, relevant definitions and methodology, as well as key results. Indicators also discuss comparability, data and source issues, and, where relevant, include the raw data or descriptive information across countries.

I crossed two dataset for this dataviz. One related to the housing tenures, the other one to the housing prices.

This is the most creative waffle chart I ever made (even because I've only made two). 20 little homes and chimney smokes, that indicates the most expensive houses of the related countries according to their price index.

This dataviz was published with my article on InfoData -  Il Sole 24 Ore, at this link:

Click below and go to the interactive Viz!

Filippo Mastroianni was born on March 14, 1988 in Milan. Data Analyst and Consultant for The Information Lab Italy, approaches the data-driven world from a humanistic background. He graduates with a thesis on Data Journalism and discovered his great passion for Data Visualization. Since 2016 he regularly collaborates with Il Sole 24 Ore. Author of several Viz of the Day, he is currently Tableau Ambassador and Tableau Featured Author.

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