European Educational Attainment & Spend
The human-capital picture for every European country: the share of 25-64s with tertiary, at-least-upper-secondary and below-upper-secondary education, plus annual public expenditure per pupil - one row per country × indicator × year. The skills-and-schooling headline behind every labour-market, competitiveness and social-policy report; joins to wages, unemployment and R&D on country code. Licence-clean and AI-training-safe.
- Source
- Eurostat
- 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
- Attainment shares (25-64): tertiary, ≥upper-secondary, below-upper-secondary
- Education expenditure per pupil (EUR) - the schooling-investment metric
- Every European country, annual, 2000-present
- One row per country × indicator × year; joins to wages, labour, R&D on country code
- Source: Eurostat (CC-BY-4.0, Decision 2011/833/EU) - EU/EFTA + candidate geos
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | Geo / country code (DE, FR, SE, …) | 100.0% | 36 |
| ts | timestamp (UTC) | Year | 100.0% | 26 |
| indicator | str | Attainment level / spend-per-pupil | 100.0% | 4 |
| value | float | % of age group or EUR per pupil | 100.0% | 1,114 |
| 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: Eurostat (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("european-education_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 36 zones
AT · BA · BE · BG · CH · CY · CZ · DE · DK · EE · EL · ES · FI · FR · HR · HU · IE · IS · IT · LT · LU · LV · ME · MK · MT · NL · NO · PL · PT · RO · RS · SE · SI · SK · TR · UK
Related datasets
European Employment Rate by Education
The payoff to education, measured as jobs, in one clean Parquet: the employment rate for low- (ISCED 0-2), medium- (3-4) and high-education (5-8) adults aged 20-64, per European country, annual. The gap between the high- and low-education lines is the labour-market skill premium - one of the most durable structural facts in economics, and a leading signal of who gets left behind as economies digitise. Human-capital, education-policy and workforce analysts read it to size skills gaps; joins our education, wages and labour-market products on country code.
European Hours Worked
How long Europe actually works, in one clean Parquet: the average number of actual weekly hours worked - all employed and full-time - per European country per year. The labour-input and work-intensity metric behind productivity, work-life-balance and labour-supply analysis; joins to productivity, employment and wages on country code. Official Eurostat Labour Force Survey, fully redistributable.
European Job Vacancy Rate by Sector
The job-vacancy rate broken out by industry - the sectoral detail our economy-wide labour-tightness product only hints at. Eurostat's seasonally-adjusted job vacancy rate (jvs_q_nace2) for the whole economy plus manufacturing, construction, trade/transport/hospitality, ICT, finance and health & social work - quarterly, per country, one clean Parquet. Recruiters, workforce planners and macro desks read the sectoral spread to see which industries are labour-starved and where wage pressure will build next; the ICT and health lines are the structural-shortage stories of the decade.