European Regional Panel (NUTS2)
The socio-economic profile of every European NUTS2 region in one panel - SUB-NATIONAL depth on 9 headline indicators: GDP and GDP per capita, employment and unemployment rates, population, life expectancy at birth, the at-risk-of-poverty-or-exclusion rate, tertiary-education attainment and R&D expenditure. ~400 regions, one row per region × indicator × year since 2000. The granularity site-selection, regional-policy, market-sizing and ESG teams actually need - Bavaria vs Saxony, Lombardy vs Calabria, not just 'Germany' and 'Italy'. Built from Eurostat regional statistics; 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
- 9 indicators per NUTS2 region: GDP (€m) & per capita (€), employment & unemployment rate (%), population, life expectancy (yrs), at-risk-of-poverty (%), tertiary education (%), R&D (€m)
- ~400 European regions (EU27 + EFTA + candidates), annual, 2000-present
- Sub-national depth across economy, labour, demography, health, education & innovation
- One row per region × indicator × year; joins to GISCO NUTS boundaries on the region code
- Licence-clean & AI-training-safe - official Eurostat regional statistics
- Source: Eurostat (CC-BY-4.0, Decision 2011/833/EU) - EU/EFTA + candidate geos
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | NUTS2 region code (DE21 = Oberbayern, ITC4 = Lombardia, …) | 100.0% | 413 |
| ts | timestamp (UTC) | Year | 100.0% | 26 |
| indicator | str | GDP / GDP per capita / Employment rate / Unemployment rate / Population / Life expectancy / At-risk-of-poverty / Tertiary education / R&D expenditure | 100.0% | 9 |
| value | float | Value (EUR, %, or persons) | 100.0% | 17,014 |
| unit | str | Unit | 100.0% | 8 |
| 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-regional-panel_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 413 zones
AL01 · AL02 · AL03 · AT11 · AT12 · AT13 · AT21 · AT22 · AT31 · AT32 · AT33 · AT34 · BE10 · BE21 · BE22 · BE23 · BE24 · BE25 · BE31 · BE32 · BE33 · BE34 · BE35 · BG31 · BG32 · BG33 · BG34 · BG41 · BG42 · CH01 · CH02 · CH03 · CH04 · CH05 · CH06 · CH07 · CY00 · CZ01 · CZ02 · CZ03 · CZ04 · CZ05 · CZ06 · CZ07 · CZ08 · DE11 · DE12 · DE13 · DE14 · DE21 · DE22 · DE23 · DE24 · DE25 · DE26 · DE27 · DE30 · DE40 · DE41 · DE42 · DE50 · DE60 · DE71 · DE72 · DE73 · DE80 · DE91 · DE92 · DE93 · DE94 · DEA1 · DEA2 · DEA3 · DEA4 · DEA5 · DEB1 · DEB2 · DEB3 · DEC0 · DED1 · DED2 · DED3 · DED4 · DED5 · DEE0 · DEF0 · DEG0 · DK01 · DK02 · DK03 · DK04 · DK05 · EE00 · EL11 · EL12 · EL13 · EL14 · EL21 · EL22 · EL23 · EL24 · EL25 · EL30 · EL41 · EL42 · EL43 · EL51 · EL52 · EL53 · EL54 · EL61 · EL62 · EL63 · EL64 · EL65 · ELSS · ES11 · ES12 · ES13 · ES21 · ES22 · ES23 · ES24 · ES30 · ES41 · ES42 · ES43 · ES51 · ES52 · ES53 · ES61 · ES62 · ES63 · ES64 · ES70 · FI13 · FI18 · FI19 · FI1A · FI1B · FI1C · FI1D · FI20 · FR10 · FR21 · FR22 · FR23 · FR24 · FR25 · FR26 · FR30 · FR41 · FR42 · FR43 · FR51 · FR52 · FR53 · FR61 · FR62 · FR63 · FR71 · FR72 · FR81 · FR82 · FR83 · FRB0 · FRC1 · FRC2 · FRD1 · FRD2 · FRE1 · FRE2 · FRF1 · FRF2 · FRF3 · FRG0 · FRH0 · FRI1 · FRI2 · FRI3 · FRJ1 · FRJ2 · FRK1 · FRK2 · FRL0 · FRM0 · FRY1 · FRY2 · FRY3 · FRY4 · FRY5 · HR01 · HR02 · HR03 · HR04 · HR05 · HR06 · HU10 · HU11 · HU12 · HU21 · HU22 · HU23 · HU31 · HU32 · HU33 · IE01 · IE02 · IE04 · IE05 · IE06 · IS00 · ITC1 · ITC2 · ITC3 · ITC4 · ITD1 · ITD2 · ITD3 · ITD4 · ITD5 · ITE1 · ITE2 · ITE3 · ITE4 · ITF1 · ITF2 · ITF3 · ITF4 · ITF5 · ITF6 · ITG1 · ITG2 · ITH1 · ITH2 · ITH3 · ITH4 · ITH5 · ITI1 · ITI2 · ITI3 · ITI4 · LI00 · LT00 · LT01 · LT02 · LU00 · LV00 · ME00 · MK00 · MT00 · NL11 · NL12 · NL13 · NL21 · NL22 · NL23 · NL31 · NL32 · NL33 · NL34 · NL35 · NL36 · NL41 · NL42 · NO01 · NO02 · NO03 · NO04 · NO05 · NO06 · NO07 · NO08 · NO09 · NO0A · NO0B · PL11 · PL12 · PL21 · PL22 · PL31 · PL32 · PL33 · PL34 · PL41 · PL42 · PL43 · PL51 · PL52 · PL61 · PL62 · PL63 · PL71 · PL72 · PL81 · PL82 · PL84 · PL91 · PL92 · PT11 · PT15 · PT16 · PT17 · PT18 · PT19 · PT1A · PT1B · PT1C · PT1D · PT20 · PT30 · RO11 · RO12 · RO21 · RO22 · RO31 · RO32 · RO41 · RO42 · RS11 · RS12 · RS21 · RS22 · SE11 · SE12 · SE21 · SE22 · SE23 · SE31 · SE32 · SE33 · SI01 · SI02 · SI03 · SI04 · SK01 · SK02 · SK03 · SK04 · TR10 · TR21 · TR22 · TR31 · TR32 · TR33 · TR41 · TR42 · TR51 · TR52 · TR61 · TR62 · TR63 · TR71 · TR72 · TR81 · TR82 · TR83 · TR90 · TRA1 · TRA2 · TRB1 · TRB2 · TRC1 · TRC2 · TRC3 · UKC1 · UKC2 · UKD1 · UKD2 · UKD3 · UKD4 · UKD5 · UKD6 · UKD7 · UKE1 · UKE2 · UKE3 · UKE4 · UKF1 · UKF2 · UKF3 · UKG1 · UKG2 · UKG3 · UKH1 · UKH2 · UKH3 · UKI1 · UKI2 · UKI3 · UKI4 · UKI5 · UKI6 · UKI7 · UKJ1 · UKJ2 · UKJ3 · UKJ4 · UKK1 · UKK2 · UKK3 · UKK4 · UKL1 · UKL2 · UKM2 · UKM3 · UKM5 · UKM6 · UKM7 · UKM8 · UKM9 · UKN0 · XK00
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