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OECD business confidence indicator

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

Source: OECD Composite Leading Indicators27,818 rowsUpdated: 9/21/2026
business-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'.
valuefloatBusiness confidence indicator (OECD CLI measure BCICP), amplitude adjusted, long term average = 100, seasonally adjusted (ADJUSTMENT=AA, TRANSFORMATION=IX).

Sample rows

dateseries_idseries_labelvalue
2000-02-01A5M.BCIMajor five Asia economies100.0683
2000-03-01A5M.BCIMajor five Asia economies100.1094
2000-04-01A5M.BCIMajor five Asia economies100.1553
2000-05-01A5M.BCIMajor five Asia economies100.3595
2000-06-01A5M.BCIMajor five Asia economies100.647

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

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/oecd_cli/business_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/business_confidence_indicator_monthly

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