Average IQ Map of Europe

Choropleth Map — Estimated National IQ (Worlddata.info, September 2026 update)

Low IQ (~87)
High IQ (~106)
42 European countries and territories. Data-driven RG diverging palette (OKLCH): red → cream → green. Hover a country for details. Click a column header in the table below to sort.

Country Table — Estimated Average IQ

IxCountryIQ
1Albania90
2Austria103
3Belarus102
4Belgium103
5Bosnia and Herzegovina92
6Bulgaria94
7Croatia99
8Cyprus95
9Czechia102
10Denmark103
11Estonia106
12Finland105
13France102
14Germany103
15Greece97
16Hungary102
17Iceland100
18Ireland103
19Italy102
20Kosovo87
21Latvia101
22Lithuania100
23Luxembourg101
24Malta99
25Moldova94
26Montenegro93
27Netherlands104
28North Macedonia89
29Norway102
30Poland103
31Portugal101
32Romania94
33Russia101
34Serbia95
35Slovakia99
36Slovenia103
37Spain101
38Sweden103
39Switzerland104
40Turkey95
41Ukraine98
42United Kingdom105
European sample: mean ≈ 99.4, median 101, range 87–106 (Worlddata.info, September 2026 update).

Data Sources & Notes

All 42 country estimates were refreshed on 2026-09-10 against the latest published Worlddata.info national IQ table (last modified September 2026; evaluation window 2007–2025), which synthesises the Rindermann (2007), Lynn & Meisenberg (2010) and Lynn & Becker (2019) datasets with PISA results from 2015–2025. The 2026 revision raised most European values by 2–6 points relative to the Lynn/Becker 2019 figures used in the previous version of this report (e.g., Estonia 100→106, Czechia 98→102, Spain 94→101, United Kingdom 100→105), consistent with re-normalisation against recent PISA rounds. Figures are shown as published (integers).

National IQ estimates are controversial and methodologically debated; a 2026 OSF evaluation (Sear, R., "'National IQ' datasets do not provide accurate, unbiased or comparable measures of cognitive ability worldwide") argues the underlying Lynn-style samples are often unrepresentative. Values represent broad averages from psychometric studies and PISA-derived proxies, and are influenced by education access, nutrition, socioeconomic factors, sampling methodology and the Flynn effect (plus a documented reverse-Flynn effect in several European countries). Interpret with caution.