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OECD Key Economic Indicators: long-term interest rates

Monthly long-term interest rate (OECD KEI measure IRLT: "Long-term interest rates"; typically the 10-year government bond yield), in percent per annum, for OECD members, key partners and major aggregates.

Source: OECD Key Economic Indicators21,470 rowsUpdated: 9/21/2026
interest-ratesbondsyieldsfinanceoecdmonthly

Quality

97

Attribution

OECD

Schema

ColumnTypeDescription
datestringObservation month (the TIME_PERIOD column of the OECD SDMX-CSV response, 'YYYY-MM'), stored as the first day of the month.
series_idstringSDMX series key (<REF_AREA>.<MEASURE>), e.g. 'USA.CP': the unique identifier of the series in the OECD Key Economic Indicators dataflow.
series_labelstringEconomy name from the OECD CL_AREA codelist, e.g. 'United States'.
valuefloatLong-term interest rate (OECD KEI measure IRLT: "Long-term interest rates"), percent per annum (UNIT_MEASURE=PA).

Sample rows

dateseries_idseries_labelvalue
1969-07-01AUS.IRLTAustralia5.8
1969-08-01AUS.IRLTAustralia5.79
1969-09-01AUS.IRLTAustralia5.81
1969-10-01AUS.IRLTAustralia5.83
1969-11-01AUS.IRLTAustralia5.85

Download sample data

Download the full sample snapshot for this dataset (sample rows, not the complete dataset).

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/oecd_kei/long_term_interest_rate_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/oecd_kei/long_term_interest_rate_monthly").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/oecd_kei/long_term_interest_rate_monthly

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