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Access dataset files directly from scripts, code, or AI agents.
Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.
Start with these files — they give you everything you need to understand and access the dataset.
- 1. Fetch datapackage.json to inspect schema and resources
- 2. Download data resources listed in datapackage.json
- 3. Read README.md for full context
Data Previews
daily
Schema
| name | type | format | description |
|---|---|---|---|
| Date | date | default | Date in ISO format |
| Country | string | default | Name of a country |
| Exchange rate | number | default | Foreign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD. |
monthly
Schema
| name | type | format | description |
|---|---|---|---|
| Date | date | default | Date in ISO format |
| Country | string | default | Name of a country |
| Exchange rate | number | default | Foreign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD. |
annual
Schema
| name | type | format | description |
|---|---|---|---|
| Date | date | default | Date in ISO format |
| Country | string | default | Name of a country |
| Exchange rate | number | default | Foreign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD. |
Data Files
| File | Description | Size | Last modified | Download |
|---|---|---|---|---|
daily | 7.27 MB | 3 days ago | daily | |
monthly | 464 kB | 3 days ago | monthly | |
annual | 24.5 kB | 26 days ago | annual |
| Files | Size | Format | Created | Updated | License | Source |
|---|---|---|---|---|---|---|
| 3 | 7.76 MB | about 14 hours ago | 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 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).