ISO 4217 Currency Codes

core

Files Size Format Created Updated License Source
2 120kB csv zip 1 week ago SIX Interbank Clearing Ltd (on behalf of ISO)
List of currencies and their 3 digit codes as defined by ISO 4217. The data provided here is the consolidation of Table A.1 "Current currency & funds code list" and Table A.3 "Historic denominations". Note that the ISO page offers pay-for PDFs but also links to which does provide them in read more
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Data Files

File Description Size Last changed Download Other formats
codes-all [csv] 17kB codes-all [csv] codes-all [json] (63kB)
datapackage_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 23kB datapackage_zip [zip]

codes-all  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
Entity 1 string Country or region name
Currency 2 string Name of the currency
AlphabeticCode 3 string 3 digit alphabetic code for the currency
NumericCode 4 number 3 digit numeric code
MinorUnit 5 string
WithdrawalDate 6 string Date currency withdrawn (values can be ranges or months

datapackage_zip  

This is a preview version. There might be more data in the original version.

Read me

List of currencies and their 3 digit codes as defined by ISO 4217. The data provided here is the consolidation of Table A.1 “Current currency & funds code list” and Table A.3 “Historic denominations”.

Note that the ISO page offers pay-for PDFs but also links to http://www.currency-iso.org/en/home/tables.html which does provide them in machine readable form freely.

Data

The data provided (see data/codes.csv) in this data package provides a consolidated list of currency (and funds) codes by combining these two separate tables:

Preparation

Run the following script to download and convert the data from XML to CSV:

cd scripts/
./runall.sh

The raw XML files are stored in ./archive. The cleaned data are ./data/codes-all.csv.

Version

The current tables have a published date of 28 March 2014 (as indicated in the XML files).

License

Placing in the Public Domain under the Public Domain Dedication and License. The original site states no restriction on use and the data is small and completely factual.

Import into your tool

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite")
library("jsonlite")

json_file <- "http://datahub.io/core/currency-codes/datapackage.json"
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# access csv file by the index starting from 1
path_to_file = json_data$resources[[1]]$path
data <- read.csv(url(path_to_file))
print(data)

In order to work with Data Packages in Pandas you need to install the Frictionless Data data package library and the pandas extension:

pip install datapackage
pip install jsontableschema-pandas

To get the data run following code:

import datapackage

data_url = "http://datahub.io/core/currency-codes/datapackage.json"

# to load Data Package into storage
storage = datapackage.push_datapackage(data_url, 'pandas')

# data frames available (corresponding to data files in original dataset)
storage.buckets

# you can access datasets inside storage, e.g. the first one:
storage[storage.buckets[0]]

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('http://datahub.io/core/currency-codes/datapackage.json')

# get list of resources:
resources = package.descriptor['resources']
resourceList = [resources[x]['name'] for x in range(0, len(resources))]
print(resourceList)

data = package.resources[0].read()
print(data)

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'http://datahub.io/core/currency-codes/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
(async () => {
  const dataset = await Dataset.load(path)

  // Get the first data file in this dataset
  const file = dataset.resources[0]
  // Get a raw stream
  const stream = await file.stream()
  // entire file as a buffer (be careful with large files!)
  const buffer = await file.buffer
})()

Install the datapackage library created specially for Ruby language using gem:

gem install datapackage

Now get the dataset and read the data:

require 'datapackage'

path = 'http://datahub.io/core/currency-codes/datapackage.json'

package = DataPackage::Package.new(path)
# So package variable contains metadata. You can see it:
puts package

# Read data itself:
resource = package.resources[0]
data = resource.read
puts data
Datapackage.json