Global Inflation (OECD CPI)
The inflation picture for the whole OECD - the United States, Japan, the UK and every other member, not just Europe - in one clean Parquet. The harmonised CPI index plus headline, core (excluding food & energy), food and energy year-on-year rates, one row per country × measure × month since 2000. The comparable, cross-country inflation series behind every central-bank comparison; the global complement to our European HICP product.
- Source
- OECD
- Licence
- Redistributable open data
- Updates
- Monthly
- Data through
- 2026-06-01
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- OECD-wide CPI - US, Japan, UK, Korea, and all members (not just Europe)
- 5 measures - index, headline %, core (ex food & energy) %, food %, energy %
- Monthly since 2000, cross-country comparable methodology
- One row per country × measure × month; the global partner to European-inflation (HICP)
- Source: OECD (CC-BY-4.0) - OECD Data Explorer / SDMX
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | ISO-3 country code (USA, JPN, GBR, …) | 100.0% | 47 |
| ts | timestamp (UTC) | Month | 100.0% | 318 |
| series | str | CPI index / headline % / core % / food % / energy % | 100.0% | 5 |
| value | float | Index or annual % | 100.0% | 10,621 |
| unit | str | Unit | 100.0% | 2 |
| res_min | int | Native resolution (monthly) | 100.0% | 1 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: OECD (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("global-inflation-oecd_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 47 zones
ARG · AUS · AUT · BEL · BGR · BRA · CAN · CHE · CHL · CHN · COL · CRI · CZE · DEU · DNK · ESP · EST · FIN · FRA · GBR · GRC · HRV · HUN · IDN · IND · IRL · ISL · ISR · ITA · JPN · KOR · LTU · LUX · LVA · MEX · NLD · NOR · POL · PRT · RUS · SAU · SVK · SVN · SWE · TUR · USA · ZAF
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