Euro Area HICP Index Level: Monthly Data Since 1996

ECB Dataset · Inflation

The HICP index level (base 2025=100) — the building block for computing inflation rates over any custom period, deflating nominal European data, and constructing real (inflation-adjusted) time series for euro area assets.

Source
ECB / Eurostat
Frequency
Monthly
Coverage
1996–Present
Unit
Index (2025=100)
Loading data…

Using the HICP index for real-value calculations

While the annual rate of change (headline HICP) captures the flow of inflation, the index level captures the stock — the cumulative effect of price changes since the base year (2025=100). In August 2026 the index stood at 103.7, meaning the euro area price level has risen about 3.7% since the 2025 average; measured from the start of the series in 1996 (55.1), it has close to doubled.

For researchers and analysts, the index level is the more useful series: divide any nominal euro-denominated time series by this index (and multiply by 100) to obtain real, inflation-adjusted values. Underlying series: the ECB Data Portal series for Euro Area HICP Index Level. This is how Eco3min computes datasets like the Real Deposit Facility Rate (DFR minus HICP).

Methodological note

Eurostat began a major methodological revision of the HICP in February 2026, including changes to weights, classifications, and seasonal adjustment. The ECB moved the series from the legacy ICP dataflow, frozen at December 2025, to the new HICP dataflow (data provider code 4D0), and the index was rebased from 2015=100 to 2025=100. This dataset follows the new dataflow: the full history since 1996 is expressed on the 2025 base, so earlier levels quoted on the 2015 base are not directly comparable.

CSV Data Dictionary

ColumnTypeDescription
dateYYYY-MM-DDFirst day of the reference month
hicp_indexfloatHICP all-items index level (2025=100)

Python Code Example

import pandas as pd
from io import StringIO
import requests

url = "https://data-api.ecb.europa.eu/service/data/HICP/M.U2.N.000000.4D0.INX"
resp = requests.get(url, params={"format": "csvdata"})
raw = pd.read_csv(StringIO(resp.text))

df = raw[["TIME_PERIOD", "OBS_VALUE"]].copy()
df.columns = ["date", "hicp_index"]
df["date"] = pd.to_datetime(df["date"] + "-01")
df = df.sort_values("date").set_index("date")

df.plot(title="Euro Area HICP Index (2025=100)", figsize=(12, 5))

Source & Methodology

Source: ECB / Eurostat — HICP All-items index

Series key: HICP/M.U2.N.000000.4D0.INX

License: ECB open data — free reuse with attribution.

Cite This Dataset

Last updated — 21 September 2026

Disclaimer – Financial Information: The analyses, commentary, and content published on eco3min.fr are provided for informational and educational purposes only. They do not constitute investment advice or a solicitation to buy or sell financial instruments. Past performance is not indicative of future results. All investment decisions involve risk and are the sole responsibility of the reader.

Source terms. This series is produced by the European Central Bank (ECB Data Portal) and redistributed here under the ECB's copyright terms: free use provided the ECB is cited as the source, the data are reproduced accurately, and any modification (such as a spread or a real rate computed by Eco3min) is stated explicitly. Eco3min cannot sub-license it under Creative Commons: anyone reusing this file remains bound by the ECB terms, not by CC BY. Full terms.