Number of candidates per country of origin

© January 2023 Paul Cooijmans

Introduction

This report lists the numbers of candidates from each of the various countries of origin reported by high-range I.Q. test candidates since the mid-1990s. A household remark: There may be countries in this table that no longer exist, like "Serbia and Montenegro", "Yugoslavia", and "Netherlands Antilles". If you are reading this and think you are listed as being from one of those but prefer to be on record as originating from a currently extant country, let me know so that it can be altered in the database. Although technically one's country of origin may well be a no longer existing country, in some cases it may be better to specify which current country it concerns.

Number of candidates per country of origin

RankCountry n 
1United_States481
2Netherlands189
3Germany100
4Sweden87
5United_Kingdom71
6Finland56
7Canada50
8Belgium44
9France40
10India35
11Italy34
12Spain34
13Greece31
14Australia28
15China27
16Korea_South26
17Japan22
18Turkey22
19Brazil21
20Denmark21
21Poland20
22Norway18
23Austria17
24Mexico13
25Switzerland10
26Argentina9
27Portugal9
28South_Africa9
29Bulgaria8
30Israel8
31New_Zealand8
32Romania8
33Singapore8
34Philippines7
35Thailand7
36Yugoslavia7
37Russia6
38Slovenia6
39Bosnia_and_Herzegovina5
40Czech_Republic5
41Hong_Kong5
42Iran5
43Nigeria5
44Croatia4
45Malaysia4
 Country unknown1337

N = 3013 (countries with fewer than 4 candidates have been left out of the above table for reasons of privacy)

rnumber of candidates per country × national average I.Q. per country as published by Lynn and Vanhanen: 0.21 (n = 77)

Conclusion

The low but almost significant correlation with national average I.Q.'s shows that high-range tests tend to draw somewhat more candidates from countries with higher average I.Q.'s. For a proper understanding one should realize that the population sizes of the countries have not been controlled for, so this correlation could be (partly) caused by the larger populations of the countries with higher average I.Q.'s.

In this context, one should also consider the highly significant yet tiny correlation of test scores with national average I.Q.'s as routinely reported in the statistical reports (median r = .05 over 73 tests with a total of approximately 2500 score-country pairs). So, candidates from high-I.Q. countries score only very, very slightly higher than candidates from low-I.Q. countries, but there are more of them. This pattern of correlations is compatible with the following two mechanisms occurring in combination:

  1. High-range tests draw candidates from a certain constant I.Q. range irrespective of their countries of origin; this mechanism would cause there to be more candidates from countries with higher average I.Q.'s, and would cause a zero correlation of test scores with national average I.Q.'s;
  2. High-range tests draw more candidates from countries with higher population sizes and/or better infrastructure and access to the tests; this mechanism would cause a positive correlation of test scores with national average I.Q.'s, and would also contribute to the positive correlation between participation per country and national average I.Q., because the countries with higher national I.Q.'s are somewhat more populous on the whole.

Addition

This report seems the right place to include the following results, based on national average I.Q.'s reported by Lynn and Vanhanen in past publications, and the estimated national population sizes as per 2022 (Worldometers):

Since especially some countries with low national average I.Q.'s are growing explosively, this world average I.Q. can be expected to drop further.