OECD composite leading indicator (amplitude adjusted)
Monthly OECD Composite Leading Indicator (measure LI: "Composite leading indicator (CLI)"), amplitude adjusted, long term average = 100. Designed to give early signals of turning points of economic activity, for OECD members, key partners and major aggregates.
Source: OECD Composite Leading Indicators14,263 rowsUpdated: 9/21/2026
leading-indicatorbusiness-cyclemacrooecdmonthly
Quality
97
Attribution
OECD
Schema
| Column | Type | Description |
|---|---|---|
| date | string | Observation month (the TIME_PERIOD column of the OECD SDMX-CSV response, 'YYYY-MM'), stored as the first day of the month. |
| series_id | string | SDMX series key (<REF_AREA>.<variant>), e.g. 'USA.CLI_AA': the unique identifier of the series in the OECD Composite Leading Indicators dataflow. |
| series_label | string | Economy name from the OECD CL_AREA codelist, e.g. 'United States'. |
| value | float | Composite leading indicator (OECD CLI measure LI: "Composite leading indicator (CLI)"), amplitude adjusted, long term average = 100 (ADJUSTMENT=AA, TRANSFORMATION=IX). |
Sample rows
| date | series_id | series_label | value |
|---|---|---|---|
| 1992-05-01 | A5M.CLI_AA | Major five Asia economies | 99.20813 |
| 1992-06-01 | A5M.CLI_AA | Major five Asia economies | 99.23056 |
| 1992-07-01 | A5M.CLI_AA | Major five Asia economies | 99.23523 |
| 1992-08-01 | A5M.CLI_AA | Major five Asia economies | 99.22364 |
| 1992-09-01 | A5M.CLI_AA | Major five Asia economies | 99.2042 |
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/composite_leading_indicator_amplitude_adjusted" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/oecd_cli/composite_leading_indicator_amplitude_adjusted").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/composite_leading_indicator_amplitude_adjusted
Tip: fetch /llms.txt for the full machine-readable catalog.