David Becker has done yeoman work validating Richard Lynn’s datasets to produce the world’s most comprehensive national IQ database. Sole purpose of this post is to make the core data available in easy to access HTML format, as it only currently seems to be available as a zipped Excel file on Becker’s website. So consider this a reference post.


Latest versions are available at the National IQ dataset page on Becker’s blog, with the current version 1.3.3 dating from June 2019.


sexting the five most interesting collections of estimates, a brief explanation of each one, by column:


NIQ – national IQ, in this case, the average of QNW and SAS (see below); the national IQ of countries without data are estimated as the mean of their neighboring countries. This is probably the single best estimate we have. According to Becker: “QNW+SAS is the best, since it combines weighted estimates of psychometric intelligence measurement with results from international school assessment studies. Therefore, it is a kind of self-validation within this variable.“


QNW – last major analysis of David Becker, based on 683 IQ tests from around the world, adjusted for both quality and sample size.


SAS – standardized assessment scores (PISA, TIMSS, PIRLS)

SAS ——標準化評估分數(國際學生能力評估計劃, 國際數學和科學研究, 國際閱讀素養進展研究

L&V02 – old Lynn & Vanhanen estimates from IQ and the Wealth of Nations (2002), with geographic imputation. This seems to be the most common dataset on the Internet, but it’s also the most outdated/least accurate by now.

L&V02 – 老林恩和范哈寧根據《智商與國民財富》(2002)進行的估算,有地理歸屬。這似乎是互聯網上最常見的數據,但也是目前最過時、最不準確的數據。

L&V12 – upxed Lynn & Vanhanen figures from Intelligence: A Unifying Construct for the Social Sciences (2012), again with geographic imputation.

L&V12 –林恩和范哈寧的新作;《智慧:各社會科學的統一架構》(2012),同樣有地理歸屬。

Important note: Results aren’t super-reliable for individual countries that haven’t done many tests, e.g. most small countries outside the First World. E.g., Belarus’ high score (101.6) is based on one test, whereas in PISA 2018, it was 1.5 points below Russia. Obviously, there are no results from North Korea at all, and the geographic imputation for it is almost certainly inaccurate, given its peculiar status. However, this does not invalidate national IQ measurements, for the same reason that estimates of even something as important and ubiquitous as GDP are not useless even though they are also subject to considerable uncertainty. Main purpose of these datasets is to identify global patterns and provide a powerful explanatory variable for national socio-economic success.


Mean world IQ ≈ 86-87, about one standard deviation lower than in the developed OECD countries and China.