US Federal Debt (Treasury Debt to the Penny)
The total US federal debt, every day since 1993 - the canonical 'Debt to the Penny' series. From the US Treasury Fiscal Data API: total public debt outstanding, split into debt held by the public and intragovernmental holdings, plus the public-held share. One clean daily table for macro, fixed-income and policy analysis. Public domain.
- Source
- TREASURY_DEBT
- Licence
- Redistributable open data
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- Total US federal debt, daily, 1993→present - the canonical 'Debt to the Penny' series
- Split into debt held by the public vs intragovernmental holdings + public share (%)
- One clean daily table; macro / fixed-income / policy analysis
- Public domain (U.S. Treasury Fiscal Data) - free commercial reuse & resale
- Source: U.S. Department of the Treasury - Fiscal Data (Debt to the Penny)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| date | str | Record date (YYYY-MM-DD, primary key) | 100.0% | 8,344 |
| total_debt_usd | float | Total public debt outstanding (USD) | 100.0% | 8,341 |
| debt_held_public_usd | float | Debt held by the public (USD) | 64.6% | 5,386 |
| intragov_holdings_usd | float | Intragovernmental holdings (USD) | 64.6% | 5,386 |
| public_share_pct | float | Debt held by the public as % of total | 64.6% | 1,505 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: TREASURY_DEBT (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("us-federal-debt_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
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