Euro Area HICP Food Inflation — Daily CSV Download

ECB Dataset · Inflation

Euro Area HICP Food Inflation (1997–2026)

Food including alcohol and tobacco — a volatile HICP component influenced by agricultural commodity prices, energy costs for food processing and transport, and supply chain disruptions. Peaked at over 15% in 2023 before normalizing.

Source
ECB / Eurostat
Frequency
Monthly
Coverage
1997–Present
Unit
% YoY

Food inflation dynamics in the euro area

Food inflation in the euro area is highly sensitive to energy prices — fertilizer production, food processing, refrigeration, and transport are all energy-intensive. The 2022 energy crisis transmitted with a 3–6 month lag into food prices, pushing food inflation above 15% in early 2023. European food supply chains are also vulnerable to weather events, agricultural policy (CAP reform), and trade disruptions.

The decline from the 2023 peak has been driven by energy cost normalization and base effects. However, structural pressures remain: climate-related agricultural disruptions, input cost inflation in packaging and transport, and tighter EU environmental regulations for food production suggest that food inflation may settle at a higher level than the pre-2020 average of ~1.5%.

CSV Data Dictionary

ColumnTypeDescription
dateYYYY-MM-DDFirst day of the reference month
hicp_food_yoyfloatHICP food including alcohol & tobacco, annual rate of change (%)

Python Code Example

import pandas as pd
from io import StringIO
import requests

url = "https://data-api.ecb.europa.eu/service/data/ICP/M.U2.N.FOOD00.4.ANR"
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_food_yoy"]
df["date"] = pd.to_datetime(df["date"] + "-01")
df = df.sort_values("date").set_index("date")

df.plot(title="Euro Area HICP Food Inflation", figsize=(12, 5))

Source & Methodology

Source: ECB / Eurostat — HICP Food including alcohol & tobacco

Series key: ICP/M.U2.N.FOOD00.4.ANR

License: ECB open data — free reuse with attribution.

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