Hello Community members!

 

As promised, our analysis of the creditworthiness of the 500 largest cities in developing countries continues.

 

Attached to this post is an excel spreadsheet with the underlying data.  For each city in the top 500, there is a series of columns indicating whether a city has a rating and whether that rating is on the national or international scale.

 

We have also included other columns that can be interesting to analyze against the ratings information, such as the income level (DAC) of the country in which the city resides, the projected population growth rate according to the United Nations, and whether during the course of our research we detected whether there were any local government bond issuances associated with a city.

 

Note on Methodology

 

The study relied on desk research performed on a city-by-city basis.  The sources used were most commonly the public databases of international and local rating agencies and news reports in both English and foreign languages.   All information was gathered from publicly available sources.

 

China is one of the countries with the largest number of cities in the top 500  (144 cities) by a margin, so it is important to note that the focus of the research was ratings and bond emissions of municipal entities, not associated financing vehicles.  Therefore a rating of the municipal government of Beijing would be included, but not that of any Local Government Financing Vehicles (LGFVs) associated with Beijing.

 

The sources of all information are listed in columns M and N of the spreadsheet.

 

Look up your city - is the data we have is correct?

 

We are distributing this raw data to the community for their research/analytical purposes. Collaboration will only make the data more accurate.  Please inform us of any omissions, inaccuracies and corrections that should be made (with verified evidence attached).

 

The World Bank makes no specific representations or warranties regarding the accuracy of the public information gathered for this database.