UK CPIH inflation by COICOP category (monthly)
Consumer Prices Index including owner occupiers' housing costs (CPIH) by 12 COICOP divisions (food, housing, transport, ...) for the United Kingdom, monthly. Office for National Statistics.
Source: Office for National Statistics5,484 lignesMis à jour: 21/09/2026
inflationpricescpihuk
Qualité
100
Attribution
Office for National Statistics
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation period from the ONS API Time dimension (code list mmm-yy, e.g. 'Jan-24'), stored as the first day of the month. |
| series_id | string | ONS API dimension option code identifying the series (e.g. 'CP00' for the CPIH overall index). |
| series_label | string | Series label published by the ONS for the dimension option code (e.g. 'Overall Index'). |
| value | float | Observation value returned by the ONS API. Units are Index: 2015=100. (unit: Index: 2015=100) |
Exemple de lignes
| date | series_id | series_label | value |
|---|---|---|---|
| 1988-01-01 | CP01 | 01 Food and non-alcoholic beverages | 47.9 |
| 1988-02-01 | CP01 | 01 Food and non-alcoholic beverages | 48.2 |
| 1988-03-01 | CP01 | 01 Food and non-alcoholic beverages | 48.3 |
| 1988-04-01 | CP01 | 01 Food and non-alcoholic beverages | 48.6 |
| 1988-05-01 | CP01 | 01 Food and non-alcoholic beverages | 48.7 |
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/ons/ons_cpih_by_category" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/ons/ons_cpih_by_category").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/ons/ons_cpih_by_category
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.