Long-run consumer price index (monthly, 63 economies)
BIS long series on consumer prices: index of the average change in the price of consumer items (goods and services) purchased by households, index 2010 = 100, based on regular surveys of representative consumption baskets. Bank for International Settlements, BIS Data Portal.
Source: Bank for International Settlements48,590 lignesMis à jour: 22/09/2026
inflationcpipriceslong-run
Qualité
96.9
Attribution
Bank for International Settlements
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation period (the TIME_PERIOD column of the BIS SDMX-CSV response). Monthly series use YYYY-MM; quarterly series use YYYY-QN, stored as the first day of the quarter. |
| series_id | string | BIS area code, e.g. 'US': the unique identifier of the series in the BIS Data Portal. |
| series_label | string | English economy name from the BIS's own CL_AREA codelist. |
| value | float | Observed consumer price index for the economy and month (the OBS_VALUE column). Unit 628: index, 2010 = 100. |
Exemple de lignes
| date | series_id | series_label | value |
|---|---|---|---|
| 2008-01-01 | AE | United Arab Emirates | 93.692211 |
| 2008-02-01 | AE | United Arab Emirates | 94.207061 |
| 2008-03-01 | AE | United Arab Emirates | 94.700897 |
| 2008-04-01 | AE | United Arab Emirates | 95.972261 |
| 2008-05-01 | AE | United Arab Emirates | 96.949426 |
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/bis/bis_long_run_consumer_prices" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bis/bis_long_run_consumer_prices").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/bis/bis_long_run_consumer_prices
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.