CalcFi Open Data: 34 Free CC-BY Financial and Macro Time Series Mirrored from Primary Sources
Authors/Creators
Contributors
Data curator:
Description
Free, CC-BY-4.0 financial and macro datasets — a daily-refreshed mirror of CalcFi (https://calcfi.app) with full primary-source provenance. 34 time series across 11 categories: mortgage rates (Freddie Mac PMMS, Treasury yields), interest rates (Federal Funds, Prime), inflation (CPI, PCE), employment (BLS unemployment, labor participation, hourly earnings), energy (WTI, Brent, gasoline), foreign exchange (USD/EUR, USD/GBP, JPY/USD), cryptocurrency (BTC, ETH, SOL), FDIC deposit and CD rates, credit card and personal loan rates, copper and corn benchmarks, and World Bank global indicators.
Each series is a complete Frictionless Data Package with data.csv (history with provenance headers), datapackage.json (schema descriptor), and README.md (per-series source citation, live URL, quickstart code). Data is mirrored verbatim from primary sources (FRED, BLS, BEA, US Treasury, Freddie Mac, FDIC, EIA, Federal Reserve H.10, World Bank, CoinGecko, IMF). No smoothing, imputation, or seasonal adjustment beyond what the primary source publishes. Refreshed daily at 05:00 UTC.
This deposit is one of four permanent identifiers for the same dataset:
- Figshare: https://doi.org/10.6084/m9.figshare.32332290
- Kaggle: https://doi.org/10.34740/kaggle/dsv/16356447
- OSF: https://doi.org/10.17605/OSF.IO/PUMKT
- Hugging Face mirror: https://huggingface.co/datasets/iizy/calcfi-open-data
- GitHub repository: https://github.com/jerehere/calcfi-open-data
- Live API + documentation: https://calcfi.app/developers
Accompanying methodology paper has been submitted to SSRN and is currently indexing. The paper describes the system architecture, the k-anonymity protocol applied to calculator-run aggregates (k≥10 enforced at write time), and the dataset schema in detail.
License: CC BY 4.0 on data, CC0 1.0 on scaffold code. Attribution requested back to https://calcfi.app/developers and the primary source named in each dataset's README.
Files
datasets.zip
Files
(607.1 kB)
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Additional details
Software
- Repository URL
- https://github.com/jerehere/calcfi-open-data
- Programming language
- JavaScript
- Development Status
- Active
References
- Sweeney, L. (2002). k-anonymity: A model for protecting privacy. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10(5), 557–570. https://doi.org/10.1142/S0218488502001648
- Open Knowledge Foundation. (2024). Frictionless Data Package Specification. https://specs.frictionlessdata.io/data-package/
- Bricker, J., Goodman, S., Moore, K. B., & Volz, A. H. (2023). Changes in U.S. Family Finances from 2019 to 2022: Evidence from the Survey of Consumer Finances. Federal Reserve Bulletin, 109(6). https://www.federalreserve.gov/publications/files/scf23.pdf
- Salmisto, J. (2026). CalcFi Open Data: Methodology and Dataset Description. SSRN Working Paper (forthcoming). https://www.ssrn.com/
- CalcFi. (2026). CalcFi Insights API documentation and live data feeds. https://calcfi.app/developers