About this Dataroom
This data room contains one of the two datasets for the Best City in the World Contest 2012 -- "The Liveability Index" for 140 cities around the world.
The Data Preview tab shows a preview of the dataset.
The dataset contains two worksheets:
- All Indicators: The qualitative (correspondent) & quantitative (statistical) factors, and the corresponding ratings (1 to 5) for each city.
- Liveability Scoring: The five broad categories, the percentage weight assigned to each category, and the corresponding score (1-100) for each city.
The Attachments tab contains a full overview of the liveability index.
The Visualization tab contains a video to guide you through the submission process.
The dataset can be downloaded by clicking the button the right side of the page.
Summary
The EIU's liveability index* is an assessment of living conditions in cities around the world. Assessing liveability has a broad range of uses, most notably by city councils, organizations, and corporate entities looking to test their locations against others to see general areas where liveability can differ.
Each city is assigned a rating of relative comfort for over 30 qualitative and quantitative factors across five broad categories: stability; healthcare; culture and environment; education; and infrastructure. Each factor in a city is rated as acceptable, tolerable, uncomfortable, undesirable or intolerable.
The scores are then compiled and weighted to provide a score of 1–100, where 1 is considered intolerable and 100 is considered ideal. The liveability rating is provided both as an overall score and as a score for each category. The score for each category is also given relative to New York and an overall position in the ranking of 140 cities is provided.
The full overview can be found here.
- This index contains the results published for August 2011.
Recommended Similar Datasets
eiu needs help with...
-
Creating a new liveability index (as part of the EIU / BuzzData "Best City in the World" Contest)
Linked Datarooms
Hm, @reboulet: others did notice some unusual fluctuations in the original cost of living index but @joncopestake did add a new "snap rate" version of the WCOL data set (with exchange rates) for download as well (latest version). Is that the data set you're looking at? He explained the reasons for some of the fluctuations as well ...
I checked out the comments of @joncopestake. He addressed the original approach taken on exchange rates, offered a different approach. (Kudos to him. The original approach was suspect.)
I was advising of an obvious discrepancy for which the most probable cause is an error in data entry. (If a car in Rio de Janeiro really did cost $25K+ less than a car in São Paulo, I could make a good living buying cars in the former and driving five hours to the latter to sell them.)
While I have not seen any other glaring/obvious errors, that raises a question regarding the validity of the other data points as well.
Do appreciate your message and info on the new data set. Cheers.
i'm trying to know what and where on earth the 'Consumer goods and services' (Category 3: Culture&Environment) rate on the sheet is... any idea? thanks!
Hey, you should ping @joncopestake — he should be able to answer your question :) Cheers!
I have no idea how to calculate culture & enviroment liveability score too....do we have to calculate the average score for each group first? e.g sport has 3 indicators,so do we have to calculate the average from those three first then add the result with the other indicators?or they (3 indicators of sport) are counted as individual?
and for infrastructure score...how to calculate the Quality of links to nearest airport, Distance to nearest airport in miles, and Quality of Gas provision?because I can't find those indicators in about liveability survey document ("about liveability survey.doc")...
yet without those three indicators (Quality of links to nearest airport, Distance to nearest airport in miles, and Quality of Gas provision), the result score for 100 cities show the same value as stated in liveabilityscoring sheet.
Some of the cost of living numbers simply aren't accurate. For example, there is a significant difference in the price of a compact car in Rio de Janeiro ($27,607.36) versus São Paulo ($53,110.43). As the most expensive item in the list, it significantly skews the results.