Global Average Wages (OECD)
What a full-time job actually pays, comparably, across the OECD: the average annual wage per country in current and constant purchasing-power-parity USD (and current USD), one row per country × measure × year since 2000. The cross-country real-wage series behind every cost-of-labour, living-standards and competitiveness comparison - the US, Japan, Germany, Korea and every member. Licence-clean and AI-training-safe.
- Source
- OECD
- Licence
- Redistributable open data
- Updates
- Annual
- Data through
- 2025-01-01
- 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
- Average annual wage - current USD PPP, constant USD PPP, and current USD
- Every OECD country, annual, since 2000 - cross-country comparable
- The real-wage / cost-of-labour benchmark for living-standards & competitiveness
- One row per country × measure × year; joins to unemployment/inflation on ISO-3
- Licence-clean & AI-training-safe - OECD (CC-BY-4.0)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | ISO-3 country code (USA, DEU, JPN, …) | 100.0% | 38 |
| ts | timestamp (UTC) | Year | 100.0% | 26 |
| series | str | Avg annual wage: current USD PPP / constant USD PPP / current USD | 100.0% | 2 |
| value | float | Average annual wage | 100.0% | 993 |
| unit | str | Unit | 100.0% | 2 |
| res_min | int | Native resolution (annual) | 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-wages-oecd_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 38 zones
AUS · AUT · BEL · CAN · CHE · CHL · COL · CRI · CZE · DEU · DNK · ESP · EST · FIN · FRA · GBR · GRC · HUN · IRL · ISL · ISR · ITA · JPN · KOR · LTU · LUX · LVA · MEX · NLD · NOR · NZL · POL · PRT · SVK · SVN · SWE · TUR · USA
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