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Euro nominal effective exchange rate

Nominal effective exchange rate of the euro against a narrow group of 12 trading partners (EER-12), published monthly. European Central Bank.

Source: European Central Bank540 rowsUpdated: 9/21/2026
exchange-ratescompetitivenesseurofinance

Quality

100

Attribution

European Central Bank statistics

Schema

ColumnTypeDescription
datestringObservation period (the TIME_PERIOD column of the ECB SDMX-CSV response). Daily series use YYYY-MM-DD; monthly series use YYYY-MM, stored as the first day of the month.
series_idstringSDMX series key (the KEY column), e.g. 'EXR.D.USD.EUR.SP00.A': the unique identifier of the series in the ECB Statistical Data Warehouse.
series_labelstringSeries title published by the ECB (the TITLE column of the SDMX-CSV response), e.g. 'US dollar/Euro ECB reference exchange rate'.
valuefloatObserved value for the series and period (the OBS_VALUE column). Units follow the series definition (exchange rates per euro; effective exchange rates in index points). Missing observations are null.

Sample rows

dateseries_idseries_labelvalue
1981-09-01EXR.M.E01.EUR.EN00.AEuro nominal effective exchange rate against narrow group of trading partners (EER-12), nominal100.4448
1981-10-01EXR.M.E01.EUR.EN00.AEuro nominal effective exchange rate against narrow group of trading partners (EER-12), nominal100.1132
1981-11-01EXR.M.E01.EUR.EN00.AEuro nominal effective exchange rate against narrow group of trading partners (EER-12), nominal98.8812
1981-12-01EXR.M.E01.EUR.EN00.AEuro nominal effective exchange rate against narrow group of trading partners (EER-12), nominal97.5762
1982-01-01EXR.M.E01.EUR.EN00.AEuro nominal effective exchange rate against narrow group of trading partners (EER-12), nominal97.1645

Use with an LLM

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

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

Python

import requests

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

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

API endpoint: https://datazimuts.com/v1/datasets/ecb/ecb_euro_neer

Tip: fetch /llms.txt for the full machine-readable catalog.