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OECD Economic Outlook: consumer price index

Consumer price index (OECD measure CPI: "Consumer price index"), for OECD members, G20 non-members and major aggregates. Includes the Outlook's two-year projections. Unit: index (UNIT_MEASURE=IX).

Source: OECD1,696 rowsUpdated: 9/21/2026
inflationcpipricesmacrooecdforecast

Quality

92.5

Attribution

OECD

Schema

ColumnTypeDescription
datestringObservation year (the TIME_PERIOD column of the OECD SDMX-CSV response), stored as the first day of the year.
series_idstringSDMX series key (<REF_AREA>.<MEASURE>), e.g. 'USA.GDPV_ANNPCT': the unique identifier of the series in the OECD Economic Outlook dataflow.
series_labelstringEconomy name from the OECD CL_AREA codelist, e.g. 'United States'.
valuefloatConsumer price index (OECD measure CPI: "Consumer price index"), for OECD members, G20 non-members and major aggregates. Includes the Outlook's two-year projections. Unit: index (UNIT_MEASURE=IX).

Sample rows

dateseries_idseries_labelvalue
1960-01-01ARG.CPIArgentina4.699619629519369e-13
1961-01-01ARG.CPIArgentina5.34459205630246e-13
1962-01-01ARG.CPIArgentina6.74095818957536e-13
1963-01-01ARG.CPIArgentina8.49190396234751e-13
1964-01-01ARG.CPIArgentina1.03723844420453e-12

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

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/oecd/consumer_price_index_annual").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/consumer_price_index_annual

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

OECD Economic Outlook: consumer price index