Italy 10Y Government Bond Yield: Monthly BTP Data Since 1991
ECB Dataset · Interest Rates
The BTP: the euro area’s primary sovereign risk barometer. Italy is the third largest economy in the euro area and the largest sovereign bond market (~€2.5 trillion outstanding). The BTP-Bund spread is the most tracked fragmentation indicator in European fixed income.
Italy’s 10-year BTP yield encodes the market’s assessment of Italian sovereign credit risk — a complex function of debt-to-GDP (~140%), political stability, growth prospects, and ECB policy credibility. The yield has swung from 14% (October 1992, pre-euro convergence) to under 1% (2021, ECB QE peak) to 5% (2022, tightening cycle). Documentation: the ECB’s official key interest rates.
The BTP-Bund spread is the single most important variable for assessing euro area fragmentation. During the 2011–2012 sovereign crisis, it reached 550 bps — the level at which market access became prohibitively expensive and ECB intervention (Draghi’s ‘whatever it takes’) became necessary. Based on the ECB Data Portal series for Italy 10-Year Government Bond Yield. The creation of the Transmission Protection Instrument (TPI) in 2022 formalized this backstop.
Italian political instability systematically widens the spread: the 2018 populist government formation (+150 bps in days), the 2022 Draghi resignation (+50 bps), and fiscal policy uncertainty around budget negotiations create recurring episodes of volatility. The current spread of approximately 100-120 bps suggests moderate but persistent credit risk.
CSV Data Dictionary
| Column | Type | Description |
|---|---|---|
| date | YYYY-MM-DD | First day of the reference month |
| btp_10y_yield | float | Italian 10-year government bond yield (% per annum, convergence criterion) |
Python Code Example
import pandas as pd
from io import StringIO
import requests
url = "https://data-api.ecb.europa.eu/service/data/IRS/M.IT.L.L40.CI.0000.EUR.N.Z"
resp = requests.get(url, params={"format": "csvdata"})
raw = pd.read_csv(StringIO(resp.text))
df = raw[["TIME_PERIOD", "OBS_VALUE"]].copy()
df.columns = ["date", "btp_10y_yield"]
df["date"] = pd.to_datetime(df["date"] + "-01")
df = df.sort_values("date").set_index("date")
df.plot(title="Italy 10Y BTP Yield", figsize=(12, 5))Related ECB Datasets
Source & Methodology
Source: ECB / Banca d’Italia, Long-term convergence criterion interest rate
Series key: IRS/M.IT.L.L40.CI.0000.EUR.N.Z
Data terms: ECB copyright notice: the ECB is cited as the source, the data are reproduced accurately and any modification is stated; no Creative Commons licence.
Cite This Dataset
Last updated — 15 October 2026
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