USA / EUR Foreign Exchange Rate since 1999

FilesSizeFormatCreatedUpdatedLicenseSource
37.36 MBcsvabout 6 years agoFederal Reserve Bank of St. Louis

Foreign exchange rates from US Federal Reserve in daily, monthly and yearly basis. Data is gathered from https://fred.stlouisfed.org. Most of the countries have rates for days, months and years, bu...

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Data Files

FileDescriptionSizeLast modifiedDownload
daily
6.89 MBabout 6 years ago
daily
monthly
452 kBabout 6 years ago
monthly
annual
24.5 kBabout 6 years ago
annual

Data Previews

daily

Schema

nametypeformatdescription
DatedatedefaultDate in ISO format
CountrystringdefaultName of a country
Exchange ratenumberdefaultForeign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD.

monthly

Schema

nametypeformatdescription
DatedatedefaultDate in ISO format
CountrystringdefaultName of a country
Exchange ratenumberdefaultForeign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD.

annual

Schema

nametypeformatdescription
DatedatedefaultDate in ISO format
CountrystringdefaultName of a country
Exchange ratenumberdefaultForeign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD.

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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.py

License

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