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USA / EUR Foreign Exchange Rate since 1999

Certified

core

Files Size Format Created Updated License Source
4 4MB csv zip 1 month ago 19 hours ago public_domain_dedication_and_license Federal Reserve Bank of St. Louis
Foreign exchange rates from US Federal Reserve in daily, monthly and yearly basis. Data Data is gathered from https://fred.stlouisfed.org. Most of the countries have rates for days, months and years, but some only have for months. Some countries have inverted values. Most are compared to USD, and read more
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Data Files

Download files in this dataset

File Description Size Last changed Download
daily 13MB csv (13MB) , json (23MB)
monthly 886kB csv (886kB) , json (1MB)
annual 48kB csv (48kB) , json (82kB)
us-euro-foreign-exchange-rate_zip Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 4MB zip (4MB)

daily  

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

Field information

Field Name Order Type (Format) Description
Date 1 date (%Y-%m-%d) Date in ISO format
Country 2 string (default) Name of a country
Exchange rate 3 number (default) Foreign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD.

monthly  

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

Field information

Field Name Order Type (Format) Description
Date 1 date (%Y-%m-%d) Date in ISO format
Country 2 string (default) Name of a country
Exchange rate 3 number (default) Foreign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD.

annual  

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

Field information

Field Name Order Type (Format) Description
Date 1 date (%Y-%m-%d) Date in ISO format
Country 2 string (default) Name of a country
Exchange rate 3 number (default) Foreign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD.

Integrate this dataset into your favourite tool

Use our data-cli tool designed for data wranglers:

data get https://datahub.io/core/us-euro-foreign-exchange-rate
data info core/us-euro-foreign-exchange-rate
tree core/us-euro-foreign-exchange-rate
# Get a list of dataset's resources
curl -L -s https://datahub.io/core/us-euro-foreign-exchange-rate/datapackage.json | grep path

# Get resources

curl -L https://datahub.io/core/us-euro-foreign-exchange-rate/r/0.csv

curl -L https://datahub.io/core/us-euro-foreign-exchange-rate/r/1.csv

curl -L https://datahub.io/core/us-euro-foreign-exchange-rate/r/2.csv

curl -L https://datahub.io/core/us-euro-foreign-exchange-rate/r/3.zip

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

install.packages("jsonlite", repos="https://cran.rstudio.com/")
library("jsonlite")

json_file <- 'https://datahub.io/core/us-euro-foreign-exchange-rate/datapackage.json'
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# get list of all resources:
print(json_data$resources$name)

# print all tabular data(if exists any)
for(i in 1:length(json_data$resources$datahub$type)){
  if(json_data$resources$datahub$type[i]=='derived/csv'){
    path_to_file = json_data$resources$path[i]
    data <- read.csv(url(path_to_file))
    print(data)
  }
}

Note: You might need to run the script with root permissions if you are running on Linux machine

Install the Frictionless Data data package library and the pandas itself:

pip install datapackage
pip install pandas

Now you can use the datapackage in the Pandas:

import datapackage
import pandas as pd

data_url = 'https://datahub.io/core/us-euro-foreign-exchange-rate/datapackage.json'

# to load Data Package into storage
package = datapackage.Package(data_url)

# to load only tabular data
resources = package.resources
for resource in resources:
    if resource.tabular:
        data = pd.read_csv(resource.descriptor['path'])
        print (data)

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('https://datahub.io/core/us-euro-foreign-exchange-rate/datapackage.json')

# print list of all resources:
print(package.resource_names)

# print processed tabular data (if exists any)
for resource in package.resources:
    if resource.descriptor['datahub']['type'] == 'derived/csv':
        print(resource.read())

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 = 'https://datahub.io/core/us-euro-foreign-exchange-rate/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 list of all resources:
  for (const id in dataset.resources) {
    console.log(dataset.resources[id]._descriptor.name)
  }
  // get all tabular data(if exists any)
  for (const id in dataset.resources) {
    if (dataset.resources[id]._descriptor.format === "csv") {
      const file = dataset.resources[id]
      // Get a raw stream
      const stream = await file.stream()
      // entire file as a buffer (be careful with large files!)
      const buffer = await file.buffer
      // print data
      stream.pipe(process.stdout)
    }
  }
})()

Read me

Foreign exchange rates from US Federal Reserve in daily, monthly and yearly basis.

Data

Data is gathered from https://fred.stlouisfed.org. Most of the countries have rates for days, months and years, but some only have for months. Some countries have inverted values. Most are compared to USD, and some are USD compared to them.

Following country currencies have USD/currency ratio:

  • Austalia
  • Euro
  • Ireland
  • New Zealand
  • United Kingdom

The rest of countries have currency/USD ratio.

In this dataset, there are 3 granularities available:

  • daily
  • monthly
  • yearly

The data has following fields:

  • Date - date in ISO format
  • Country - name of a country
  • Value - currency rate

Preparation

You will need Python 3.6 or greater and dataflows library to run the script

To update the data run the process script locally:

# Install dataflows
pip install dataflows

# Run the script
python exchange_rates_flow

License

Licensed under the Public Domain Dedication and License (assuming either no rights or public domain license in source data).

Datapackage.json

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