The Plight of Many Elderly Americans

With many elderly Americans in a financial conundrum regarding where to live the rest of the years, it's important that they account for many factors in deciding which country, state, and city to move to and spend their retirement years. EMOVO aims to mitigate the difficulty in deciding the optimal locations to move to through technology. The algorithm finds places for the elderly to live based on collecting and quantifying many different data pieces that would have manually taken much time to amass. Aspects such as standard of living and medical infrastructure metrics are absolutely imperative for retirees to know in deciding where to retire, and EMOVO aims to provide such important data in the easiest manner possible.

Data Sources

The World Bank APIs comprised much of the informational nation data pieces, such as ISO codes, languages, currencies, and population. It also was the source national average income values, specifically derived from the GNIs per household (Which was explained here as being a suitable metric for deteriming the national economic state. The World Bank's Climate Data API was also a source of much of the average temperature data pieces for many of the countries. Geoname world cities package (extracted from datahub.io) was the source of international city data. Numbeo's Cost of Living API was the source of international city affordability metrics. more efficient gni finder. Wikipedia was instrumental for attaining taxation data, life expectancy, for states and nations. Data USA was an integral source for much of US cities and states and their data, and specifically much of the main algorithmic factors. Also, currentresults.com and usclimatedata.com were used to attain state climate data. For international housing costs, nationmaster.com and timeout.com were utilized. Futhermore, Freedom House data was used to get nation freedom indices. Structurally, Firebase and w3.css were necessary components in storing data and designing the website respectively. For the housing functionality Quandl and Zillow's API were employed for data retrieval.