statistiques Q.I

1. Relationship Between National IQ and GDP per capita

2. National IQ Prediction Based on Racial Composition

3. I.Q Heritability

4. Various Correlations

5. Mean I.Q

6. Impact on I.Q

7. I.Q and Justice

8. Other Diverse Correlations

9. Mean Salary Predicted from National I.Q

10. I.Q and Diseases

11. I.Q and BMI

12. I.Q and Life Expectancy

 

1. Relationship between National I.Q and GDP per Capita

GDP per Capita as a Function of National I.Q

Q.I par pays salaire moyen

For further discussion of the link between the national I.Q and economic development, see National I.Q and Economy.

The following table shows that there has always been a strong correlation between IQ and GDP per capita, and this since at least the 1500PCN, the two weakest correlations, in 1950 and 1980, correspond to an increase in GDP per capita of oil-producing countries, such as Kuwait, Qatar, and the United Arab Emirates, which has increased their average GDP per capita regardless of IQ

correlation Q.I par pays salaire moyen par habitant

2. National IQ Prediction Based on Racial Composition

Table 9.7. National IQs in Latin America and the Caribbean predicted from racial composition of the populations

Latin america I.Q racial composition

3. I.Q Heritability

Ref IQ HERITABILITY
Correlation
1 Monozygotic Twins reared together 0.86
2 Monozygotic Twins reared together 0,85
2 Monozygotic Twins reared apart 0,74
2 Dizygotic Twins reared together 0,59
2 Siblings reared together 0.46
1 Siblings or Dizygotic Twins reared together 0.45
2 Mid-parent / Child together 0,50
2 Single parent / Child together 0,41
1 Siblings or Dizygotic Twins reared apart 0.40
13 Between Husband and Wives 0,45
17 Between Husband and Wives 0,37
18 Between Husband and Wives in USA 0,33
1 Half siblings reared together 0.20 à 0.30
2 Single parent / Child apart 0,24
2 Adopting parent / Child together 0,20
1 Cousins reared together 0.15
20 Personns without any genetic parenty reared together : during childhood 0,25
20 Personns without any genetic parenty reared together : when adults – 0.01
19 broad heritability according to age:
Children
in adolescents and young adults
Later maturity
0.40 to 0.50
0.60 to 0.70 0.80

4. Various I.Q Correlations

Ref   Correlation
7 Head size 0,40
8 Level of aggression in primary school -0,45
9 Social Conservatisme -0,45
15 Validity predicting Job Performance Rating 0.53
16 Myopia 0.20 to 0.25

5. Mean I.Q 

Ref   QI % > 100*
4 African-Americans (about 25% of european admixture) 85 16
22 France: Mean I.Q if the father is maneuver 92 30
3 US Prison population 92 30
22 France : Mean I.Q of the child if the father is a farmer 96 41
       
5 Average European  100 50
22 France : Mean I.Q of the child if the father is a commerical employee 100 50
4 East Asians (China, Korea, Japan, Singapore…) 106 66
22 France: I.Q of the child if the father is a middle manager 107 30
22 France: I.Q of the child if the father is a senior manager 112 78
4 Ashkenazy Jews 115 85
3 University Master Level 115 85
3 Plus hauts diplômés Américains 145 99

* : Percentage of people in the population with IQ> 100 

6. Impact on Mean I.Q (expressed in Wechsler I.Q points)

Ref   IMPACT % > 100*
10 IQ of hospitalized schizophrenics compared to the corresponding general population (expressed in relative terms) -31 2
10 IQ of non-hospitalized schizophrenics compared to the corresponding general population (expressed in relative terms) -13 19
21 IQ of Monozygotic Twins if both are born viable (expressed in relative terms) -5 37
21 IQ of Monozygotic Twins of which one is stillborn (expressed in relative terms) 0 50
29 IQ of Twins at the age of 5 -5,3 37
29 IQ of Twins at the age of 9 -6 34
24 IQ of 9 year old children who have suffered at least once a year from the parasite G. lamblia (causes diarrhea) -4 40
24 IQ of 9-year-old children who suffered from chronic malnutrition during the first two years of stunted growth -10 25
28 IQ of 5 year old children who had cried a lot at 6 and 13 weeks, 6, 9 and 13 months -9 27
28 IQ of 5 year old children who had a lot of colic at 6 and 13 weeks, 6, 9 and 13 months 0 (pas d’impact trouvé) 50

* : Percentage of people in the population with IQ> 100


7. IQ of Condemned People

Ref (US) MEAN IQ ACCORDING TO DEEPEST LEVEL OF CONTACT WITH THE CRIMINAL JUSTICE SYSTEM, WHITES MALES QI % > 100*
6 None 106 66
6 Stopped by the police but not booked 103 58
6 Booked but not convicted 101 53
6 Convicted but not incarcerated 100 50
6 Sentenced to a correctional facility 93 32

* : Percentage of people in the population with IQ> 100 

8. Various Statistics

Ref STATISTIQUES DIVERSES CONCERNANT LE QI CHIFFRE
12 On the crimes committed by educated  children in the USA, percentage of those committed by the IQ between 70 and 100 74%
0 IQ of Baccalaureate if 80% of the population has to get it 88
16 Percent of females exceeding the male median in spatial visualization ability 25%
27 Birth weight: IQ points for 1 kg more, boys 4,6
27 Birth weight: IQ points for 1 kg more, girls 2,8
23 Correlation with economic success (see below) 0,757
25 Correlation with religiosity (percentage of people responding that religion is « very important ») -0,886
26 Correlation with the suicide rate Men : 0,36
Women : 0,49
30 Mean IQ when adult according to the age of the first sentence uttered Before 24 months: 107
24 months: 101.8
After 24 months: 100.6

9. National I.Q and Economic Success

(The National IQ data here come from « IQ and the Wealth of Nations » Lynn and Vanhanen, 2002. Better data has been obtained since then, see National I.Q and Economy).
About 60% of the economic variations between countries are explained by the IQ variations of the population. 3 elements come down the correlation (which, without them, would be even more important):
o  The degree of economic freedom: countries that have lived (or still live) communism are of course much poorer than the others
o  The quantity of natural resources (eg oil in the Middle East)

o  The internal organization of the country: putting the intellectual elite in economic power increases the global wealth of all.

Légende

o   Fitted GDP (FGDP) = « theorical » GDP estimates from National I.Q

o   GDP / FGDP = indicates whether the country is doing better or worse than its IQ suggests

Country average IQ GDP fitted GDP GDP/FGDP
Hong Kong 107 20 763 19 817 1,0477368
Korea, South 106 13 478 19 298 0,6984143
Japan 105 23 257 18 779 1,2384579
Taiwan 104 13 000 18 260 0,7119387
Singapore 103 24 210 17 740 1,3647125
Austria 102 23 166 17 221 1,345218
Germany 102 22 169 17 221 1,2873236
Italy 102 20 585 17 221 1,1953429
Netherlands 102 22 176 17 221 1,2877301
Sweden 101 20 659 16 702 1,2369177
Switzerland 101 25 512 16 702 1,5274817
Belgium 100 23 223 16 183 1,4350244
China 100 3 105 16 183 0,191868
NewZealand 100 17 288 16 183 1,0682815
U. Kingdom 100 20 336 16 183 1,2566273
Hungary 99 10 232 15 664 0,6532176
Poland 99 7 619 15 664 0,4864019
Australia 98 22 452 15 145 1,4824695
Denmark 98 24 218 15 145 1,5990756
France 98 21 175 15 145 1,3981512
Norway 98 26 342 15 145 1,7393199
United States 98 29 605 15 145 1,9547706
Canada 97 23 582 14 626 1,6123342
Czech Republic 97 12 362 14 626 0,8452072
Finland 97 20 847 14 626 1,4253384
Spain 97 16 212 14 626 1,108437
Argentina 96 12 013 14 107 0,8515631
Russia 96 6 460 14 107 0,4579287
Slovakia 96 9 699 14 107 0,687531
Uruguay 96 8 623 14 107 0,6112568
Portugal 95 14 701 13 589 1,0818309
Slovenia 95 14 293 13 588 1,051884
Israel 94 17 301 13 069 1,3238197
Romania 94 5 648 13 069 0,4321677
Bulgaria 93 4 809 12 550 0,3831873
Ireland 93 21 482 12 550 1,7117131
Greece 92 13 943 12 031 1,1589228
Malaysia 92 8 137 12 031 0,6763361
Thailand 91 5 456 11 512 0,4739402
Croatia 90 6 749 10 993 0,6139361
Peru 90 4 282 10 993 0,3895206
Turkey 90 6 422 10 993 0,5841899
Colombia 89 6 006 10 474 0,5734199
Indonesia 89 2 651 10 474 0,2531029
Suri name 89 5 161 10 474 0,4927439
Brazil 87 6 625 9 436 0,7020983
Iraq 87 3 197 9 436 0,3388088
Mexico 87 7 704 9 436 0,8164476
Samoa (Western) 87 3 832 9 436 0,4061043
Tonga 87 3 000 9 436 0,3179313
Lebanon 86 4 326 8 917 0,4851407
Philippines 86 3 555 8 917 0,3986767
Cuba 85 3 967 8 398 0,4723744
Morocco 85 3 305 8 398 0,3935461
Fiji 84 4 231 7 879 0,5369971
Iran 84 5 121 7 879 0,6499556
Marshall Islands 84 3 000 7 879 0,380759
Puerto Rico 84 8 000 7 879 1,0153573
Egypt 83 3 041 7 360 0,4131793
India 81 2 077 6 322 0,3285353
Ecuador 80 3 003 5 803 0,517491
Guatemala 79 3 505 5 284 0,6633232
Barbados 78 12 001 4 765 2,5185729
Nepal 78 1 157 4 765 0,2428122
Qatar 78 20 987 4 765 4,4044071
Zambia 77 719 4 246 0,1693358
Congo (Brazz) 73 995 2 170 0,4585253
Uganda 73 1 074 2 170 0,4949309
Jamaica 72 3 389 1 651 2,0526953
Kenya 72 980 1 651 0,5935796
South Africa 72 8 488 1 651 5,1411266
Sudan 72 1 394 1 651 0,8443368
Tanzania 72 480 1 651 0,2907329
Ghana 71 1 735 1 132 1,5326855
Nigeria 67 795 – 944 -0,842161
Guinea 66 1 782 – 1 463 -1,218045
Zimbabwe 66 2 669 – 1 463 -1,824334
Congo (Zaire) 65 822 – 1 982 -0,414733
Sierra Leone 64 458 – 2 501 -0,183127
Ethiopia 63 574 – 3 020 -190,0662
Equatorial Guinea 59 1 817 – 5 096 -0,356554



10. I.Q and diseases

11. I.Q and BMI


Q.I BMI obésité

12. I.Q and Life Expectancy 

There is a strong positive correlation between intelligence and longevity, the higher Q.I tend to live longer.

This correlation is mainly genetic. In fact, the genes involved in higher intelligence are also responsible for increasing longevity.

« The finding of common genetic effects between lifespan and intelligence has important implications for public health, and for those interested in the genetics of intelligence, lifespan or inequalities in health outcomes including lifespan »

« The association between intelligence and lifespan is mostly genetic » Int. J. Epidemiol. Advance Access published July 26, 2015.

Q.I longévité

Survival curve in men and women. The lowest quartile is Q.I less than 90. The highest quartile is individuals with a Q.I greater than 110.

Among the most talented individuals, Q.I remains correlated with longevity.

longévité surdoués

Sources and References

Ref SOURCES
0 Calculation for an average of 100
Only valid if the IQ distribution in the population considered follows a bell curve (this is true for the general population but not necessarily for a particular population)
1 Jaques Bénesteau (sur ce site)
2 Devlin, Daniels and Roeder – Nature 31-07-97 – Meta-analyse of 212 studies
3 Herrnstein & Murray – The Bell Curve (1994)
4 Estimation from Arthur HU
5 Per définition
6 TBC pp 246-247
7 JP. Rushton – 2000
8 Wiegmann and al. 1992 (Quoted by Brand 1996 pp 154 et 207 ) WIEGMAN, O., KUTTSCHREUTER, M. & BAARDA, B. (1992). ‘A longitudinal study of the effects of television viewing on aggressive and prosocial behaviours.‘ British Journal of Social Psychology 31, 147-164.
9 Egan 1989
10 John Crawford 1992
11 White, K.R. 1982 (quoted by Brand 1996) The relation between socioeconomic status and academic achievement Psychological Bulletin 91, 3, 461-8
12 Yoshikawa
13 Jensen A.R. 1978 (Quoted in TBC pp 110 et 687) : Genetic and behavioral effects of nonrandom mating. In Human Variation : Bpopsycholgy of Age, Race and Sex.R.T. Osborne, C.E. Noble, and N. Weyl (eds.). New York : Academic Press, pp. 5-105
Voir aussi : Jensen 1998 p 183
14 Chris Brand
15 Hunter J. E. & Hunter R.F. 1984 (Quoted in TBC pp 81 and 575) : Validity and utility of alternative predictors of job performance. Psychological Bull. 96:72-98
16 Jensen 1998 – p 149
17 Phil Rushton in ‘Race, Evolution and Behaviour‘ (1995), p70 (Diagram)
18 Tom Bouchard and Matt McGue in Familial studies of intelligence (1981, Science 212, 4498, 1055-1059)
19 Jensen 1998 – pp 169 et 178 + page 179 from Mac Gue 1993
20 Jensen 1998 p 178
Mc Gue et al., 1993, pp. 60-67 (Behavioral genetics of cognitive ability : a life time perspective in R. Plomin & G.E. McClearn (Eds.), Nature, Nurture, and psychology (pp 59-76). Washington, DC: American Psychological Association)
Scarr, 1989 pp 103-105 (Protecting general intelligence : constructs and consequences for interventions. In R.L. Linn (Ed.), Intelligence : Measurement, theory, and public policy (pp 74-118) Chicago : University of Illinois Press)
Segal 1997 ( Same age unrelated siblilngs : a unique test of within-family environmental influences on IQ similarity Journal of Educational Psychology, 89, 381-390)
21 RECORD, R. G., McKEOWN, T & EDWARDS, J. H. (1970). An investigation of the differences in measured intelligence between twin and single births. Annals of Human Genetics 34, 11-20.
22 INED (France) 1973
23 Lynn et Vanhanen 2002 : « IQ and the Wealth of Nation » – Praeger (USA) 2002
24 Douglas S. Berkman et al.: « Effects of stunting, diarrhoeal disease, and parasitic infection during infancy on cognition in late childhood: a follow up study » in The Lancet 16-02-2002
25 Calculation of Razib (Gene Expression) from the data of # 23 and Pew.
26 Significant correlation found by VORACEK, Martin (2003), using the same data as Lynn & Vanhanen 2002 [24]. « Personality and Individual Differences (in Press)
27 Thomas D Matte, Michaeline Bresnahan, Melissa D Begg, and Ezra Susser « Influence of variation in birth weight within normal range and within sibships on IQ at age 7 years: cohort study » BMJ, Aug 2001; 323: 310 – 314.
28 Rao MR, Brenner RA, Schisterman EF, Vik T, Mills JL. (2004): « Long term cognitive development in children with prolonged crying. » Arch Dis Child. 2004 Nov;89(11):989-92.
29 Hagan (2005): « The cognitive cost of being a twin: evidence from comparisons within families in the Aberdeen children of the 1950s cohort study » BMJ Online First (Public release date: 18-Nov-2005)
30 Flensborg-Madsen T., Mortensen E.L. (2017) « Associations of Early Developmental Milestones With Adult Intelligence », Child Development.