Average IQ by Country: 2026 Report (Based on 2026 Platform Data)
Displayed below is the average IQ score by country, based solely on validated results from participants who took the standardized AVSEO IQ Test on this platform during the calendar year 2026. Scores are reported based on our test's normalized scale (Mean=100, SD=15). Countries shown in gray lacked sufficient participation data on our platform for reliable inclusion in the 2026 dataset.
Trends observed in our 2026 participant data show regional variations, with higher average scores among participants from East Asia compared to other regions like Central/Southern Africa and Latin America. These findings reflect our specific user base and test methodology; broader global estimates based on synthesizing various national studies (like those by Gouillou, 2025 estimating a raw global average around 86.6) involve different methodologies and assumptions.
Global Country Rankings by Average IQ (2026 Platform Data)
Reliability of Our Platform Ranking: All participants completed the identical, standardized AVSEO IQ Test on this platform during 2026. High year-over-year stability (approx. 83% of countries within +/- 2 points of 2025 platform results) indicates consistent measurement within our user base. See FAQ for methodological details. View FAQ.
| Rank | Country / Territory | Average IQ | Participants | Prev. Year Avg. (2025) | Yearly Change |
|---|---|---|---|---|---|
| 1. |
|
101.44 | 135 | 98.93 (142) | +2.51 |
| 2. |
|
101.12 | 1,967 | 100.7 (1,886) | +0.42 |
| 3. |
|
101.01 | 6,837 | 100.07 (6,161) | +0.94 |
| 4. |
|
100.60 | 146,031 | 99.91 (150,030) | +0.69 |
| 5. |
|
100.59 | 437 | 99.32 (528) | +1.27 |
| 6. |
|
100.15 | 7,449 | 98.13 (7,001) | +2.02 |
| 7. |
|
99.78 | 856 | 95.73 (1,056) | +4.05 |
| 8. |
|
99.76 | 4,397 | 101.48 (4,409) | -1.72 |
| 9. |
|
99.72 | 3 | 100.2 (3) | -0.48 |
| 10. |
|
99.61 | 1,224 | 100.59 (1,127) | -0.98 |
| 11. |
|
99.51 | 1,006 | 101.47 (926) | -1.96 |
| 12. |
|
99.51 | 618 | 100.62 (493) | -1.11 |
| 13. |
|
99.43 | 881 | 98.78 (902) | +0.65 |
| 14. |
|
99.42 | 1,227 | 98.46 (1,113) | +0.96 |
| 15. |
|
99.41 | 4,004 | 100.46 (3,622) | -1.05 |
| 16. |
|
99.40 | 574 | 95.11 (556) | +4.29 |
| 17. |
|
99.37 | 497 | 100.42 (550) | -1.05 |
| 18. |
|
99.28 | 580 | 101.41 (626) | -2.13 |
| 19. |
|
99.26 | 3,110 | 101.15 (2,562) | -1.89 |
| 20. |
|
99.05 | 233 | 99.91 (175) | -0.86 |
| 21. |
|
98.93 | 13,718 | 100.09 (13,694) | -1.16 |
| 22. |
|
98.88 | 3,392 | 91.31 (3,713) | +7.57 |
| 23. |
|
98.82 | 592 | 95.67 (671) | +3.15 |
| 24. |
|
98.59 | 1,293 | 101.28 (1,299) | -2.69 |
| 25. |
|
98.53 | 39 | 98.37 (36) | +0.16 |
| 26. |
|
98.25 | 4,566 | 99.78 (4,630) | -1.53 |
| 27. |
|
97.58 | 7,098 | 98.34 (6,948) | -0.76 |
| 28. |
|
97.58 | 189 | 95.18 (190) | +2.40 |
| 29. |
|
97.12 | 7 | 96.41 (6) | +0.71 |
| 30. |
|
96.90 | 5,974 | 95.67 (5,802) | +1.23 |
| 31. |
|
95.81 | 30,845 | 98.15 (29,850) | -2.34 |
| 32. |
|
95.75 | 1,005 | 99.82 (995) | -4.07 |
| 33. |
|
95.72 | 807 | 94.01 (939) | +1.71 |
| 34. |
|
95.52 | 432 | 95.36 (393) | +0.16 |
| 35. |
|
95.46 | 64 | 94.92 (74) | +0.54 |
| 36. |
|
95.26 | 3,701 | 99.23 (4,666) | -3.97 |
| 37. |
|
95.17 | 244 | 94.59 (313) | +0.58 |
| 38. |
|
94.53 | 998 | 93.04 (1,066) | +1.49 |
| 39. |
|
94.17 | 562 | 99 (556) | -4.83 |
| 40. |
|
94.14 | 9,283 | 94.08 (9,538) | +0.06 |
| 41. |
|
94.02 | 15,525 | 95.29 (16,476) | -1.27 |
| 42. |
|
93.72 | 899 | 96.01 (1,173) | -2.29 |
| 43. |
|
93.38 | 758 | 95.33 (773) | -1.95 |
| 44. |
|
92.74 | 740 | 89.14 (839) | +3.60 |
| 45. |
|
92.56 | 46 | 96.59 (57) | -4.03 |
| 46. |
|
92.55 | 306 | 92.19 (288) | +0.36 |
| 47. |
|
91.96 | 3,781 | 92.35 (2,924) | -0.39 |
| 48. |
|
91.55 | 136 | 93.21 (131) | -1.66 |
| 49. |
|
90.45 | 2,039 | 93.05 (2,205) | -2.60 |
| 50. |
|
90.21 | 1,817 | 89.79 (2,021) | +0.42 |
| 51. |
|
90.18 | 252 | 88.48 (296) | +1.70 |
| 52. |
|
89.96 | 299 | 91.2 (357) | -1.24 |
| 53. |
|
89.11 | 154 | 86.04 (137) | +3.07 |
| 54. |
|
89.05 | 61 | 89.14 (60) | -0.09 |
| 55. |
|
88.91 | 268 | 89 (380) | -0.09 |
| 56. |
|
88.53 | 6,960 | 89.41 (7,029) | -0.88 |
| 57. |
|
88.03 | 46 | 86.79 (41) | +1.24 |
| 58. |
|
87.93 | 404 | 89.09 (333) | -1.16 |
| 59. |
|
87.65 | 287 | 87.58 (357) | +0.07 |
| 60. |
|
87.60 | 9 | 85.67 (9) | +1.93 |
| 61. |
|
87.54 | 149 | 85.76 (145) | +1.78 |
| 62. |
|
87.41 | 940 | 89.08 (1,025) | -1.67 |
| 63. |
|
87.25 | 61 | 85.27 (54) | +1.98 |
| 64. |
|
87.22 | 19 | 85.99 (18) | +1.23 |
| 65. |
|
86.98 | 141 | 86.29 (113) | +0.69 |
| 66. |
|
86.79 | 494 | 87.01 (502) | -0.22 |
| 67. |
|
86.63 | 233 | 87.6 (219) | -0.97 |
| 68. |
|
86.56 | 8,598 | 89.85 (8,072) | -3.29 |
| 69. |
|
86.37 | 968 | 87.66 (977) | -1.29 |
| 70. |
|
86.30 | 3 | 86.08 (3) | +0.22 |
| 71. |
|
86.17 | 21 | 99.86 (2,698) | -13.69 |
| 72. |
|
86.12 | 637 | 84.73 (747) | +1.39 |
| 73. |
|
85.99 | 1,748 | 89.38 (1,459) | -3.39 |
| 74. |
|
85.98 | 13 | 86.2 (14) | -0.22 |
| 75. |
|
85.80 | 5,193 | 90.35 (4,913) | -4.55 |
| 76. |
|
85.75 | 1,871 | 85.17 (1,890) | +0.58 |
| 77. |
|
85.67 | 8,431 | 87.31 (8,401) | -1.64 |
| 78. |
|
85.57 | 12,494 | 86.72 (11,795) | -1.15 |
| 79. |
|
85.48 | 1,126 | 87.34 (1,159) | -1.86 |
| 80. |
|
85.07 | 1,081 | 82.96 (1,264) | +2.11 |
| 81. |
|
85.06 | 519 | 81.57 (483) | +3.49 |
| 82. |
|
84.77 | 40 | 85.5 (35) | -0.73 |
| 83. |
|
84.53 | 725 | 83.63 (809) | +0.90 |
| 84. |
|
84.35 | 323 | 80.59 (243) | +3.76 |
| 85. |
|
84.14 | 1,915 | 82.58 (1,729) | +1.56 |
| 86. |
|
83.92 | 5,499 | 82.63 (5,273) | +1.29 |
| 87. |
|
83.86 | 4,339 | 89.01 (4,629) | -5.15 |
| 88. |
|
83.76 | 80 | 80.85 (97) | +2.91 |
| 89. |
|
83.60 | 988 | 81.76 (896) | +1.84 |
| 90. |
|
83.18 | 29,982 | 80.31 (29,566) | +2.87 |
| 91. |
|
82.95 | 1 | 86.87 (1) | -3.92 |
| 92. |
|
82.79 | 22,034 | 82.83 (20,341) | -0.04 |
| 93. |
|
82.76 | 445 | 78.99 (385) | +3.77 |
| 94. |
|
82.56 | 23,514 | 82.57 (23,947) | -0.01 |
| 95. |
|
82.48 | 50 | 79.29 (62) | +3.19 |
| 96. |
|
82.26 | 3,484 | 81.55 (3,619) | +0.71 |
| 97. |
|
82.25 | 1,226 | 79.44 (1,205) | +2.81 |
| 98. |
|
82.22 | 5,759 | 82.2 (5,707) | +0.02 |
| 99. |
|
82.22 | 664 | 81.18 (744) | +1.04 |
| 100. |
|
82.12 | 489 | 83.69 (495) | -1.57 |
| 101. |
|
81.75 | 595 | 84.41 (540) | -2.66 |
| 102. |
|
81.61 | 36 | 78.92 (32) | +2.69 |
| 103. |
|
81.54 | 3,313 | 83.8 (3,467) | -2.26 |
| 104. |
|
81.25 | 1,114 | 80.97 (1,150) | +0.28 |
| 105. |
|
81.16 | 661 | 78.44 (704) | +2.72 |
| 106. |
|
80.74 | 872 | 80.66 (976) | +0.08 |
| 107. |
|
80.74 | 4,126 | 80.2 (3,884) | +0.54 |
| 108. |
|
80.52 | 63 | 82.86 (57) | -2.34 |
| 109. |
|
80.49 | 12,196 | 78.8 (11,944) | +1.69 |
| 110. |
|
80.31 | 119 | 78.89 (134) | +1.42 |
| 111. |
|
80.09 | 1,228 | 79.9 (1,403) | +0.19 |
| 112. |
|
79.95 | 23 | 83.04 (33) | -3.09 |
| 113. |
|
79.76 | 46 | 78.69 (46) | +1.07 |
| 114. |
|
79.66 | 2,292 | 83.96 (2,506) | -4.30 |
| 115. |
|
79.55 | 368 | 81.95 (476) | -2.40 |
| 116. |
|
79.24 | 3,651 | 82.88 (3,515) | -3.64 |
| 117. |
|
79.13 | 624 | 78.01 (581) | +1.12 |
| 118. |
|
79.07 | 159,145 | 76 (168,854) | +3.07 |
| 119. |
|
79.04 | 75 | 81.14 (72) | -2.10 |
| 120. |
|
78.89 | 79 | 79.28 (72) | -0.39 |
| 121. |
|
78.87 | 261 | 80.95 (263) | -2.08 |
| 122. |
|
78.80 | 4,347 | 80.49 (4,581) | -1.69 |
| 123. |
|
78.65 | 77 | 75.73 (66) | +2.92 |
| 124. |
|
78.46 | 1,749 | 78.4 (2,102) | +0.06 |
| 125. |
|
77.65 | 1,056 | 78.45 (1,024) | -0.80 |
| 126. |
|
77.49 | 10,633 | 79.99 (13,114) | -2.50 |
| 127. |
|
77.36 | 1 | 78.18 (1) | -0.82 |
| 128. |
|
76.88 | 171 | 81.4 (180) | -4.52 |
| 129. |
|
76.73 | 2,076 | 82.49 (1,765) | -5.76 |
| 130. |
|
76.61 | 273 | 74.56 (299) | +2.05 |
| 131. |
|
76.34 | 232 | 74.66 (244) | +1.68 |
| 132. |
|
75.92 | 122 | 75.87 (124) | +0.05 |
| 133. |
|
75.79 | 3,566 | 79.45 (2,845) | -3.66 |
| 134. |
|
75.21 | 673 | 76.85 (679) | -1.64 |
| 135. |
|
75.14 | 3,479 | 79.48 (3,420) | -4.34 |
| 136. |
|
75.00 | 1,842 | 71.37 (1,946) | +3.63 |
| 137. |
|
74.95 | 6,049 | 75.39 (5,666) | -0.44 |
| 138. |
|
74.86 | 416 | 71.55 (422) | +3.31 |
| 139. |
|
74.75 | 41 | 72.31 (37) | +2.44 |
| 140. |
|
73.89 | 4,483 | 74.02 (5,232) | -0.13 |
| 141. |
|
73.79 | 6,331 | 73 (6,374) | +0.79 |
| 142. |
|
73.74 | 17,618 | 72.31 (15,530) | +1.43 |
| 143. |
|
73.73 | 5,408 | 70.36 (5,744) | +3.37 |
| 144. |
|
73.68 | 61 | 74.09 (58) | -0.41 |
| 145. |
|
73.47 | 12 | 73.42 (10) | +0.05 |
| 146. |
|
73.34 | 11 | 72.8 (8) | +0.54 |
| 147. |
|
72.97 | 99 | 73.95 (92) | -0.98 |
| 148. |
|
72.15 | 1,425 | 68 (1,202) | +4.15 |
| 149. |
|
72.00 | 5,149 | 71.51 (4,589) | +0.49 |
| 150. |
|
71.86 | 4,310 | 69.29 (4,392) | +2.57 |
| 151. |
|
71.65 | 3,731 | 70.74 (3,073) | +0.91 |
| 152. |
|
71.47 | 2,058 | 68.44 (1,889) | +3.03 |
| 153. |
|
71.16 | 627 | 71.45 (716) | -0.29 |
| 154. |
|
70.82 | 18,946 | 69.73 (22,507) | +1.09 |
| 155. |
|
70.50 | 1,311 | 74.42 (1,227) | -3.92 |
| 156. |
|
70.45 | 120 | 74.01 (98) | -3.56 |
| 157. |
|
70.19 | 1 | 72.76 (1) | -2.57 |
| 158. |
|
69.95 | 225 | 68.47 (262) | +1.48 |
| 159. |
|
69.84 | 281 | 67.01 (273) | +2.83 |
| 160. |
|
69.46 | 144 | 69.58 (177) | -0.12 |
| 161. |
|
69.36 | 2,419 | 69.94 (2,938) | -0.58 |
| 162. |
|
69.15 | 2,996 | 71.91 (3,077) | -2.76 |
| 163. |
|
69.02 | 221 | 64.28 (251) | +4.74 |
| 164. |
|
68.80 | 834 | 66.87 (844) | +1.93 |
| 165. |
|
68.47 | 9,870 | 69.04 (9,087) | -0.57 |
| 166. |
|
68.43 | 11,860 | 67.28 (14,069) | +1.15 |
| 167. |
|
68.30 | 1,739 | 67.79 (1,466) | +0.51 |
| 168. |
|
68.20 | 1,178 | 68.54 (1,355) | -0.34 |
| 169. |
|
68.14 | 3,592 | 66.91 (3,568) | +1.23 |
| 170. |
|
68.00 | 483 | 71.05 (479) | -3.05 |
| 171. |
|
67.55 | 2,134 | 64.74 (2,236) | +2.81 |
| 172. |
|
67.44 | 1,104 | 65.41 (968) | +2.03 |
| 173. |
|
67.12 | 2,395 | 69.2 (2,463) | -2.08 |
| 174. |
|
67.04 | 202 | 70.21 (196) | -3.17 |
| 175. |
|
65.72 | 2,106 | 67.81 (2,248) | -2.09 |
| 176. |
|
65.16 | 1,937 | 68.42 (1,684) | -3.26 |
| 177. |
|
65.03 | 612 | 62.42 (566) | +2.61 |
| 178. |
|
64.84 | 3,282 | 65.36 (3,120) | -0.52 |
| 179. |
|
64.83 | 1,719 | 66.47 (1,725) | -1.64 |
| 180. |
|
64.75 | 1 | 64.68 (1) | +0.07 |
| 181. |
|
64.34 | 2,787 | 62.63 (2,234) | +1.71 |
| 182. |
|
63.76 | 1,310 | 62.06 (1,683) | +1.70 |
| 183. |
|
62.83 | 22 | 65.9 (19) | -3.07 |
| 184. |
|
62.47 | 3,789 | 61.73 (3,443) | +0.74 |
| 185. |
|
62.40 | 1,080 | 58.99 (1,001) | +3.41 |
| 186. |
|
61.23 | 1,006 | 61.32 (943) | -0.09 |
| 187. |
|
60.97 | 485 | 62.35 (553) | -1.38 |
| 188. |
|
60.59 | 299 | 61.92 (305) | -1.33 |
Territories with Significant Participant Data (2026 Platform Data)
The following table details territories with substantial participant numbers on our platform in 2026. Results are aggregated within their respective sovereign nations' data for the main ranking, adhering to UN standards.
| Territory | Average IQ | Participants | Prev. Year Avg. (2025) | Yearly Change |
|---|---|---|---|---|
|
|
101.47 | 773 | 101.35 (762) | +0.12 |
|
|
99.19 | 2,184 | 99.86 (2,320) | -0.67 |
Frequently Asked Questions (FAQ)
What is the global average IQ?
By psychometric convention, standardized IQ tests like ours are normalized so that the average score is 100 with a standard deviation of 15. This allows for consistent comparison over time and across groups. However, recent research (e.g., Gouillou, 2025) calculating a population-weighted global average based on synthesizing various national IQ estimates arrives at a lower figure, around 86.6. This reflects the real-world distribution influenced by large populations.
Why is the calculated global average IQ (like ~86.6) below 100?
The calculated global average is heavily influenced by population weighting. Countries with extremely large populations (like China and India) disproportionately affect the overall average. Even if many smaller countries have averages near or above 100, a few very populous nations with specific average scores can pull the weighted global mean down significantly from the normalized benchmark of 100.
Therefore, while our test uses the standard 100 average for scoring, understanding the underlying calculated global average (~86.6) helps interpret worldwide data accurately. Research like Gouillou (2025) shows the actual global distribution is complex and skewed, not perfectly matching a simple normal curve centered at 86.6.
What factors contribute to variations in average IQ between countries?
Differences in national average IQ scores are complex multi-factorial phenomena. Key influencing factors identified by research include:
- Public Health & Environmental Factors:: National health levels, including disease burden (especially infectious diseases affecting development) and exposure to environmental toxins, correlate with population cognitive scores.
- Nutrition & Early Development:: Adequate nutrition, particularly during prenatal and early childhood stages, is fundamental for optimal brain development and cognitive function.
- Education Quality & Access:: The quality, duration, and accessibility of education systems significantly shape cognitive skills measured by IQ tests. Emphasis on critical thinking and problem-solving is key.
- Genetics:: Heritability studies indicate a substantial genetic component influences individual differences in IQ within populations. However, genetic potential interacts significantly with environmental opportunities and challenges.
In essence, national average IQ likely reflects the cumulative impact of healthcare, nutrition, education, socio-economic factors, and genetic predispositions within a population.
The historical trend of rising IQ scores (Flynn Effect) seen in the 20th century is attributed to improvements in these environmental factors. Recent data suggests a possible slowing, plateau, or even reversal in some developed nations, a topic of ongoing research. This highlights the continued importance of environmental quality.
Our AVSEO IQ Test is periodically renormalized against contemporary global participant data to maintain the standard M=100, SD=15 scale, ensuring scores remain meaningful benchmarks despite potential population shifts.
How frequently is the average IQ ranking by country updated?
Our ranking, based on our platform participants, is updated annually (e.g., Jan 2026 report uses 2026 data). This differs from academic studies synthesizing external national estimates, which may have different update cycles.
How reliable is this platform's ranking?
Our ranking reflects scores obtained on the standardized AVSEO IQ Test using the culturally-reduced Raven’s Matrices technique. High year-over-year stability within our participant data suggests consistent measurement on our platform.
It's important to distinguish our platform-based ranking from global estimates derived from meta-analyses of various national studies (which have their own methodologies and limitations, as discussed by researchers like Gouillou).
Are all test results from this platform included in the ranking?
No. We apply rigorous data validation filters before calculating our annual rankings to remove duplicates, bots, incomplete tests, and non-serious attempts, ensuring the integrity of our platform statistics.
Filtering criteria include response patterns, timing, IP data, and other metadata checks for authenticity.
These validation criteria are applied uniformly across all participant data on our platform.
Why do some countries have more participants on this platform than others?
Participation rates on our platform vary due to factors like:
- Regional differences in interest in online IQ testing.
- Our platform's visibility and accessibility via search engines in different languages/countries.
Participant numbers reflect platform usage, not necessarily national population size or overall global testing trends.
Why include countries with low participant numbers on the platform?
Countries with fewer participants (<1000) are included if the data meets quality standards, providing broader, though less statistically robust, insights from our user base.
Longitudinal stability observed even in smaller samples on our platform suggests the average score can still be a reasonably consistent indicator for that participant group, contributing to the overall picture presented by our data.
What are the limitations of this platform's data and rankings?
Our data comes from a self-selected group of internet users interested in IQ testing who chose our platform. This introduces potential biases:
- Excludes those without internet access/digital literacy.
- May over-represent individuals curious about IQ (potentially differing from the general population average).
- Reflects performance specifically on our test.
Therefore, our rankings accurately depict IQ distributions among our platform users. While we use validated methods (Raven's) and careful normalization (M=100, SD=15), these results are indicative for our user base and not a perfect proxy for entire national populations or a substitute for clinical evaluation.
It's also important to note limitations inherent in using any national IQ data (whether ours or synthesized external data) for global calculations, such as the assumption of normal distribution within each country, which research (Gouillou, 2025) confirms is often not strictly true.