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OECD consumer confidence indicator

Monthly OECD standardised consumer confidence indicator (measure CCICP), amplitude adjusted, long term average = 100, seasonally adjusted, for OECD members, key partners and major aggregates.

Source: OECD Composite Leading Indicators24,449 rowsUpdated: 9/21/2026
consumer-confidencesurveysmacrooecdmonthly

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>.<variant>), e.g. 'USA.CLI_AA': the unique identifier of the series in the OECD Composite Leading Indicators dataflow.
series_labelstringEconomy name from the OECD CL_AREA codelist, e.g. 'United States'.
valuefloatConsumer confidence indicator (OECD CLI measure CCICP), amplitude adjusted, long term average = 100, seasonally adjusted (ADJUSTMENT=AA, TRANSFORMATION=IX).

Sample rows

dateseries_idseries_labelvalue
1990-01-01A5M.CCIMajor five Asia economies101.5693
1990-02-01A5M.CCIMajor five Asia economies101.5583
1990-03-01A5M.CCIMajor five Asia economies101.564
1990-04-01A5M.CCIMajor five Asia economies101.5679
1990-05-01A5M.CCIMajor five Asia economies101.5488

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

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/oecd_cli/consumer_confidence_indicator_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_cli/consumer_confidence_indicator_monthly

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