The source for this data is going to be accuity, that takes care of the routing numbers for the ABA,
To fast forward, it looks like you can download a version from the federal reserve board here:
but it states:
A couple options (unknown license, my source):
1.The first 9 digits of the first field in this text file (fixed link, mirror) seem to be the routing number.
011000015O0110000150020802000000000FEDERAL RESERVE BANK 1000 PEACHTREE ST N.E. ATLANTA GA303094470866234568111
where 011000015 is the routing number of the ...
The first thing to note is that the IEG database that you're referencing is only one of several that the World Bank provides. You might want to also check out the Bank's projects portal: http://www.worldbank.org/projects. In particular, check out specific country pages for a lot of good details, as well as many project documents (in pdf) ...
Wikipedia has lists of all the banks in certain countries, those seem pretty accurate for the larger banks and countries with more active wikipedia communities.
For more in depth data, I think you might have to get the data for each country seperately through their financial supervision department. The United States has that data here: https://cdr.ffiec.gov/...
There is a GitHub Repo FedACHdir that contains what I think is the same text file and also the specific routing number you are looking for:
There are a number of paid API services that allow such requests. Trying to advertise commercial offerings as little as possible, I can mention the original SWIFT API.
You could probably also scrape data from this site. I've been using another one that allows up to 20 free requests a day. However, these two, and possibly any other services might not ...
If you want the number of bank "companies" per countries, then you can harvest this data from Wikipedia
On the left menu-bar of every Wikipedia page is a link to "Wikidata Item". You can then use a Wikidata query tool to programmatically collect the data. See other questsions or do an internet search about Wikidata or SPARQL query language.
Or, use this ...
Commercial bank branches (per 100,000 adults)
Data is collected by the International Monetary Fund, Financial Access Survey. Data has a friendly license.
On the right you will see a big DOWNLOAD button (CSV, XML or XLS)
If, for some reason, you don't want the data per capita, but instead total bank branches, then you can use this data set to get the ...
I think you are referring to voice spoofing, which can be part of the phishing process. In the context of voice, the term spoofing is more common in literature. Spoofing/ phishing can take various forms either by using a replayed audio (if only a password is required for example) or an advanced voice synthesis/cloning system etc. Therefore the datasets can ...
This type of data is generated by financial institutions and is usually protected and not made available to the public.
There is a dataset, that has real transactions but it doesn't have any label for fraud detection. It is Berka dataset available as part of PKDD'99 Discovery Challenge.
It is real anonymized data from the Czech bank.
Datasets like this will typically be "academic", meaning scrubbed and anonymized and used for demo or publishing purposes.
One example is the "German Credit fraud data", which is in ARFF format as used by Weka machine learning.
This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two ...
A routing transit number (RTN) is a nine digit bank code, used in the United States, which appears on the bottom of negotiable instruments such as checks identifying the financial institution on which it was drawn. This code was designed to facilitate the sorting, bundling, and shipment of paper checks back to the drawer's (check writer's) account.
The RTN ...
ABA is kind of an outdated term. Look for routing numbers.
Consider the data a beginning point. There are duplicate routing numbers that correspond to different banks. This seems to happen when one bank takes over another. For instance, Wells Fargo and Wachovia numbers overlap. Wells Fargo bought Wachovia in 2008.
But, this is the one ...