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 lignesMis à jour: 21/09/2026
consumer-confidencesurveysmacrooecdmonthly
Qualité
97
Attribution
OECD
Schéma
| Colonne | 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 | Consumer confidence indicator (OECD CLI measure CCICP), amplitude adjusted, long term average = 100, seasonally adjusted (ADJUSTMENT=AA, TRANSFORMATION=IX). |
Exemple de lignes
| date | series_id | series_label | value |
|---|---|---|---|
| 1990-01-01 | A5M.CCI | Major five Asia economies | 101.5693 |
| 1990-02-01 | A5M.CCI | Major five Asia economies | 101.5583 |
| 1990-03-01 | A5M.CCI | Major five Asia economies | 101.564 |
| 1990-04-01 | A5M.CCI | Major five Asia economies | 101.5679 |
| 1990-05-01 | A5M.CCI | Major five Asia economies | 101.5488 |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
Utiliser avec un LLM
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (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)Point d’accès API: https://datazimuts.com/v1/datasets/oecd_cli/consumer_confidence_indicator_monthly
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.