Average interest rates on U.S. Treasury securities, monthly

Name: Average interest rates on U.S. Treasury securities, monthly
Creator: U.S. Department of the Treasury — Fiscal Data
License: https://fiscaldata.treasury.gov/about-us/
Keywords: interest-rates, treasury, debt, us, yields

Monthly effective interest rates on U.S. Treasury securities outstanding, by marketable vs. non-marketable type and instrument (bills, notes, bonds, TIPS, savings securities and others), in percent per annum at month-end. History from 2001-01.

Source: U.S. Department of the Treasury — Fiscal Data5,009 lignesMis à jour: 22/09/2026

interest-ratestreasurydebtusyields

Qualité

100

Attribution

U.S. Department of the Treasury, Bureau of the Fiscal Service, Fiscal Data

Schéma

Colonne	Type	Description
date	timestamp	Month of observation, mapped to the first day of the month from the provider's Record Date ("The date that data was published"). Debt to the Penny is published daily; MTS, average interest rates and interest expense are published monthly at month-end.
series_id	string	Stable machine identifier for the series. Built from the provider's own description fields (never the classification_id, which the MTS dictionary notes changes with every publication): debt measures use short slugs of the provider's Display Names; MTS uses monthly_/fytd_/fy_ prefixes; interest-rate and interest-expense series slug the provider's type/group descriptions.
series_label	string	Human-readable series name using the provider's own wording (Display Names and description fields from the Fiscal Data data dictionaries), e.g. "Debt Held by the Public" or "Marketable — Treasury Bills".
unit	string	Unit of value: "USD" for dollar amounts (the provider's CURRENCY data type) or "%" for rates (the provider's PERCENTAGE data type, percent per annum).
value	float	Observed value as a number. Fiscal Data returns missing observations as the string "null"; these become null here. For the MTS deficit/surplus series a positive value means a deficit (outlays exceeded receipts).

Exemple de lignes

date	series_id	series_label	unit	value
2001-01-01T00:00:00	interest_bearing_debt_total_interest_bearing_debt	Interest-bearing Debt — Total Interest-bearing Debt	%	6.594
2001-02-01T00:00:00	interest_bearing_debt_total_interest_bearing_debt	Interest-bearing Debt — Total Interest-bearing Debt	%	6.512
2001-03-01T00:00:00	interest_bearing_debt_total_interest_bearing_debt	Interest-bearing Debt — Total Interest-bearing Debt	%	6.47
2001-04-01T00:00:00	interest_bearing_debt_total_interest_bearing_debt	Interest-bearing Debt — Total Interest-bearing Debt	%	6.426
2001-05-01T00:00:00	interest_bearing_debt_total_interest_bearing_debt	Interest-bearing Debt — Total Interest-bearing Debt	%	6.344

Télécharger un échantillon

Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).

Télécharger l'exemple CSV Télécharger l'exemple JSON

Utiliser avec un LLM

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/treasury/treasury_average_interest_rates" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/treasury/treasury_average_interest_rates").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API: https://datazimuts.com/v1/datasets/treasury/treasury_average_interest_rates

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.