This application visualizes mean income of households in United States, for each zip code (ZCTA, zip code tabulation area): Click here to open the application
Background: Urban Decay
The visualization shows clearly, how large cities in US are surrounded by wealthy zip code areas (red rings). Inner cities, however are areas with less income (green or yellow), with few exceptions, such as New York, Washinton DC and San Francisco.
“In the United States during the 1940s, for the first time a powerful interaction between segregation laws and race differences in terms of socioeconomic status enabled white families to abandon inner cities in favor of suburban living. The result was severe urban decay that, by the 1960s, resulted in crumbling “ghettos“. Prior to national data available in the 1950 US census, a migration pattern of disproportionate numbers of whites moving from cities to suburban communities was easily dismissed as merely anecdotal. Because American urban populations were still substantially growing, a relative decrease in one racial or ethnic component eluded scientific proof to the satisfaction of policy makers. In essence, data on urban population change had not been separated into what are now familiarly identified its ‘components.’ The first data set potentially capable of proving ‘white flight’ was the 1950 census.” Source: Wikipedia
The visualization is based on American Community Survey (ACS) from census.gov
Red = high income
Yellow = medium income
Green = low income
I’m looking for bloggers, who want to co-author articles about interesting/surprising facts about US (or European) population demographics, economy etc. along with visualizations. Also, if you have ideas for further visualizations, please contact me via firstname.lastname@example.org.
If you want to embed this app to your web page, read the instructions here.
This is an app, through which you can visualize demographic data from Finland. Try also clicking for example “Relative” and “Higher level university degree”, or “Employed”.
The data used in this visualization: Paavo – Open data by postal code area, Statistics Finland. The material was downloaded from Statistics Finland’s interface service with the licence CC BY 4.0.
Here are three relevant industry trends, why I believe WhereOS is going to change the world:
- Hyperconnected World – Businesses are getting more and more connected to online, cloud based information systems as a part of their business processes. Customers are accessing companies’ online services 24/7 through different interfaces, generating more and more information about their purchase behavior, location, movement, social interactions and so forth – all tied to geographical locations
- Business Digitalization – New businesses are challenging traditional industries by using combinations of static and dynamic information to create new services for their digital customers: They know better who their customers are, what they want, where they are located, and how to serve them best. They know where the operational bottlenecks are and can deliver the right goods and services to right locations to create the best customer experience, maximize the sales and minimize the cost.
- Data Explosion – The amount of data businesses are collecting from their customers and business operations is increasing constantly. Data sets are large, and in constant change – the existing IT systems and processes do not facilitate innovation in the fast paced change many industries are undergoing.
With WhereOS, it’s extremely easy to built APIs and applications based on data: instead of months, new applications can be create in a matter of hours or days. This facilitates lean prototyping of how data can be used to create new value-adding services and products, helping both traditional and new businesses to speed up the development.
If you are interested in discussing more, please contact me through email@example.com