1. National I.Q in Descending Order

2. The Racial Roots of Nationl I.Q

3. Correlation between National I.Q and Average Salary

4. Exponential Correlation between National I.Q and Average Salary (better relation than the linear regretion)

5. Other Measures Correlated to National I.Q

6. National Mean IQ and Associated Socity

Références

1. National I.Q in Descending Order

Four values ​​are given for the national IQ (mean IQ in the country), the 2002 (from IQ and the Wealth of Nations), 2006 (from IQ and Global Inequality), 2012 (from Intelligence, a Unifying Construct for the Social Science), 2023 (The Intelligence of Nations. National IQs. Update 2023). The values ​​of 2023 are the most valid.

They vary little, although the average IQ in East Asia is revised upwards, especially in China (the value of 100 for China in 2002 was an underestimate). The average IQ of Western Europe is slightly revised downwards (Australia, Luxembourg, the Netherlands, Germany, Belgium), probably because the average IQ is decreasing while the proportion of Afro-Maghrebians, which have a significantly lower IQ than Native Europeans, increases in these countries.

PPP-GNI per capita 2002 indicates the average per capita wage (2002), QHC the human development index, two parameters highly correlated to National IQ. It already appears that national IQ are essentially determined by the proportions of the different races in the different countries (see point 2).

Country/Region	IQ (2023)	IQ (2012)	IQ (2006)	IQ (2002)	PPP-GNI per capita 2002	QHC
Singapore	107	107	108	103	23.730	60.7
Hong Kong	105	106	108	107	27.490	60.8
China	106	106	105	100	4.520	39.7
North Korea	105	105	106*	105*	1.000	38
South Korea	105	105	106	106	16.960	75.4
Taiwan	105	105	105	104	23.400	79.4
Japan	104	104	105	105	27.380	71.4
Finland	101	101	99	97	26.160	85.1
Mongolia	91	100	101*	98*	1.710	48.1
Switzerland	100	100	101	101	31.840	82.2
Netherlands	101	100	100	102	28.350	82.8
Canada	101	100	99	97	28.930	77.8
Estonia	101	100	99	97*	11.630	64.5
Iceland	98	99	101	98*	29.240	80
Austria	99	99	100	102	28.910	80.7
United Kingdom	100	99	100	100	26.580	76.7
Germany	100	99	99	102	26.980	78
Belgium	100	99	99	100	28.130	84.1
New Zealand	100	99	99	100	20.550	76.2
Sweden	100	99	99	101	25.820	82.9
Australia	99	99	98	98	27.440	82.8
Czech Republic	99	99	98	97	14.920	64.5
France	98	98	98	98	27.040	78.1
Hungary	98	98	98	99	13.070	64.1
Slovakia	98	98	96	96	12.590	63.2
Croatia	97	98	90	90	10.000	61.7
United States	98	97,5	98	98	36.120	86.6
Norway	97	97	100	98	36.690	89
Andorra	95	97	98*	N/A	19.000	58.7
Spain	97	97	98	99	21.910	75.8
Denmark	99	97	98	98	30.600	85.4
Russia	97	97	97	96	8.080	64.5
Italy	96	96	102	102	26.170	78.9
Poland	97	96	99	99	10.450	62.7
Latvia	97	96	98*	97*	9.190	65.5
Luxembourg	97	95	100*	101*	53.230	76.4
Belarus	96	95	97*	96*	5.500	57.2
Malta	94	95	97	95*	17.710	66.4
Israel	94	95	95	94	19.000	75.3
Ireland	98	95	92	93	8.500	52.1
Ukraine	94	94	97*	96*	4.800	61.8
Portugal	94	94	95	95	17.820	67
Vietnam	94	94	94*	96*	2.300	39.5
Lithuania	96	94	91	97*	10.190	65.4
Armenia	91	93	94*	93*	3.230	50.2
Argentina	87	93	93	96	10.190	64.7
Bulgaria	93	93	93	93	7.030	59.1
Greece	93	93	92	92	18.770	76.1
Bosnia and Herzegovina	89	93	90*	N/A	5.800	51.4
Moldova	91	92	96*	95*	1.600	46.2
Malaysia	91	92	92	92	29.570	78.5
Cambodia	87	92	91*	89*	1.970	28.6
Cyprus	93	92	91*	92*	18.650	67.6
Uruguay	89	91	96	96	7.710	64
Romania	90	91	94	94	6.490	53
Republic of Macedonia	85	90,5	91*	93*	6.420	54.4
Thailand	89	90	91	91	6.890	50.3
Bermuda	90	90	90	N/A	36.000	75.8
Chile	89	90	90	93*	9.420	59.5
Brunei	88	89	91*	92*	19.210	50.8
Turkey	89	89	90	90	6.300	50.2
Cook Islands	88	89	89	N/A	5.000	45.7
Laos	83	89	89	89*	1.660	24.9
Suriname	89	89	89	89	6.590	50.6
Mexico	87	88	90	87	12.500	52.9
Ecuador	83	88	88	80	3.340	47.4
Samoa	87	88	88	87	5.570	49.7
Myanmar	85	87	87*	86*	930	42.4
Georgia	87	87	94*	93*	2.270	51.2
Bolivia	82	87	87	85*	2.390	49.7
Iraq	86	87	87	87	1.027	30.7
Jordan	87	87	84	87*	4.180	43.4
United Arab Emirates	89	87	84*	83*	24.030	48.8
Costa Rica	87	86	89*	91*	8.650	53.7
Brazil	84	86	87	87	7.450	51.1
Indonesia	83	86	87	89	1.600	28.1
Kuwait	80	86	86	83*	17.780	49.9
Philippines	80	86	86	86	4.450	51.6
Tonga	85	86	86	87	6.820	40.5
Trinidad and Tobago	88	86	85*	80*	9.000	52
Iran	86	86	84	84	6.690	40.2
Bahrain	87	86	83*	83*	16.190	49.3
Kazakhstan	87	85	94*	93*	5.630	49
Azerbaijan	85	85	87*	87*	3.010	47.2
East Timor	82	85	87*	N/A	3.940	46.7
Cuba	84	85	85	85	5.259	46.2
Fiji	84	85	85	84	5.330	51.9
Kiribati	83	85	85*	84*	800	37.1
New Caledonia	85	85	85	N/A	21.960	54.9
Peru	82	85	85	90	4.880	49.2
Libya	83	85	83*	84*	7.570	49.3
Tunisia	81	85	83*	84*	6.440	40.6
Lebanon	83	85	82	86	4.600	55.8
Oman	83	84,5	83*	83*	13.000	40.6
Solomon Islands	81	84	84*	84*	12.660	44.1
Seychelles	83	84	86*	81*	18.232	60.6
Federated States of Micronesia	84	84	84*	84*	6.150	48.4
Marshall Islands	84	84	84	84	1.600	44.2
Morocco	75	84	84	85	2.000	39.9
Pakistan	83	84	84	81*	3.730	31.7
Paragay	82	84	84	85*	6.060	56.6
The Bahamas	84	84	84*	78*	1.590	41.5
Algeria	80	84	83*	84*	5.530	39.9
Nicaragua	81	84	81*	84*	2.350	41.3
Vanuatu	82	84	84*	84*	2.850	31.4
Puerto Rico	82	83,5	84	84	4.590	45.2
Venezuela	83	83,5	84	88*	5.220	47.4
Colombia	83	83	84	88	5.490	44.2
Papua New Guinea	79	83	83	84*	2.180	38.4
Egypt	78	83	81	83	3.810	37.3
Albania	82	82	90*	90*	4.960	51.2
Syria	82	82	83	87*	5.348	38.9
Dominican Republic	80	82	82	84*	6.270	46.8
India	77	82	82	81	2.650	36.3
Madagascar	77	82	82	79*	730	28.6
Guyana	79	81	87*	84*	3.070	40.2
Bangladesh	74	81	82*	81*	1.720	29.8
Honduras	81	81	81	84*	2.540	41.9
Maldives	81	81	81*	81*	4.798	38.5
Northern Mariana Islands	81	81	81	N/A	12.500	51.3
Yemen	68	80,5	85	83*	800	24.5
Qatar	81	80,1	78	78	19.844	45.6
Tajikistan	82	80	87*	87*	1.640	27.5
Turkmenistan	84	80	87*	87*	4.780	41.7
Uzbekistan	82	80	87*	87*	1.640	39.4
Panama	80	80	84*	84*	1.960	26.2
Saudi Arabia	80	80	84*	83*	15.800	63.6
Barbados	80	80	80	78	14.660	60.9
Guatemala	79	79	79	79	4.040	34.6
Sri Lanka	79	79	79	81*	3.510	47.7
Bhutan	78	78	80*	78*	1.969	24.1
El Salvador	78	78	80*	84*	4.790	42.6
Nepal	73	78	78	78	1.370	26.9
Sudan	62	77,5	71	72	1.740	24.6
Belize	72	77	84*	83*	15.960	56.1
Comoros	75	77	77*	79*	1.640	24.6
Botswana	77	77	70*	72*	7.740	29.4
Cape Verde	73	76	76*	78*	4.920	40.5
Rwanda	70	76	70*	70*	1.260	18.5
Eritrea	74	75,5	68*	68*	1.040	21.4
Kyrgyzstan	76	75	90*	87*	1.560	48.1
Afghanistan	72	75	84*	83*	700	13.2
Djibouti	72	75	68*	68*	2.040	22
Swaziland	76	75	68*	72*	4.730	22.2
Kenya	76	74,5	72	72	1.010	27.3
Mauritius	88	74	89	81*	10.820	52.2
Mauritania	69	74	76*	73*	1.790	20.5
Grenada	74	74	71*	75*	6.600	45.3
Zambia	69	74	71	77	800	21.8
Antigua and Barbuda	71	74	70*	75*	10.390	53.2
Tanzania	75	73	72	72	580	23.2
Zimbabwe	74	72,1	66	66	2.180	25.2
Uganda	72	72	73	73	1.360	25.4
South Africa	72	72	72	72	9.810	38.3
Burundi	72	72	69*	70*	630	15.2
Somalia	68	72	68*	68*	500	15.2
Jamaica	75	71	71	72	3.680	46.5
Saint Vincent and the Grenadines	70	71	71	75*	5.190	48.4
Benin	71	71	70*	69*	1.060	20.5
Côte d’Ivoire	70	71	69*	71*	1.450	18.1
Nigeria	69	71	69	67	800	27.3
Angola	70	71	68*	69*	1.840	13.7
Senegal	70	70,5	66*	64*	1.660	20.7
Ghana	64	70	71	71	2.080	33.7
Namibia	68	70	70*	72*	6.880	31.1
Togo	68	70	70*	69*	1.450	26
Niger	66	70	69*	67*	800	13.5
Burkina Faso	70	70	68*	66*	1.090	10.7
Mozambique	72	70	64	72*	990	18
Mali	67	69,5	69*	68*	840	13.4
Guinea-Bissau	68	69	67*	63*	680	20.3
Ethiopia	69	69	64	63	780	16.7
Gabon	69	69	64*	66*	5.530	32.2
Equatorial Guinea	69	69	59	59	9.100	30.4
Liberia	65	68	67*	64*	1.000	21.2
Republic of the Congo	66	68	65	73	630	17.9
Democratic Republic of the Congo	66	68	64	65	700	26.9
Dominica	66	67	67	75*	4.960	48.8
Haiti	67	67	67*	72*	1.610	20.4
Lesotho	70	67	67*	72*	2.970	24.3
Saint Kitts and Nevis	71	67	67*	75*	10.750	45.5
São Tomé and Príncipe	65	67	67*	59*	1.317	37.9
Guinea	69	66,5	67	63	2.060	22.5
Chad	66	66	68*	72*	1.010	20.4
Cameroon	64	64	64	70*	1.910	23.1
Central African Republic	64	64	64	68*	1.170	19.1
Sierra Leone	62	64	64	64	500	13.8
The Gambia	62	62	66*	64*	1.540	21.3
Saint Lucia	62	62	62	75*	4.950	51.1
Malawi	65	60	69*	71*	570	24.3

2. Racial Roots of National I.Q

Table 9.8. Race differences in brain site (cc) and intelligence

Race	IQ	Brain Size (cc)
East Asians	106	1416
Europeans	99	1369
Southeast Asians	90	1332
Pacific Islanders	85	1317
North Africans and Middle Easterners	84	1293
Africans	71	1282

The genetic bases of intellectual differences between nations lie in the racial identity of the population. This becomes apparent when nations are categorized by race.

East Asians have a mean I.Q of 105, so nations composed mainly of East Asians have a national average I.Q of 105 with some variations (105 to 108). Not only the nations originally populated by East Asians but also nations where East Asian migrated and are now the majority (case of Singapore)

Europeans follow with an average IQ of 99 and therefore logically average IQs of European nations oscillates around 99 (not only European nations but also nations where Europeans have migrated and are the large majority like Australia (99), the United States (98) or Canada (99). With the increasing number of Afro-Maghrebian populations in Europe and Hispanics in the United States a gradual decline in intelligence and consequently a reduction in development level compared to East Asia is in progres (See Future of the World).

The lower IQ of 92 (range 90 to 94) in Southern Europe is attributable to some gene flow between South Asians (MENA) and Europeans across the Dardanelles Strait and the Aegean and production of an hybrid population in the Balkans whose IQs are intermediate between that of Europeans (99) and that of South Asians (84). An hybrid population is also present in Turkey where the IQ of around 90 is only slightly lower than that of the Balkans.

The South Asians and North Africans (Middle Easterners) have an average I.Q of 84 and so nations composed mainly by this race have a national average I.Q around 84.

Africans in sub-Saharan Africa have an average IQ of 71 and therefore predominantly African nations have a national average IQ of around 71. It is not only nations of the African continent but also nations of the world where Africans are largely the majority, for example Haiti.(71 of average I.Q)

Nations-Race	IQ
East Asian	105
China	105
Hong Kong	108
Japan	105
Singapore	108
South Korea	106
Taiwan	105
European	99
Australie	98
Austria	100
Belgium	99
Canada	99
Czech Republic	98
Denmark	98
Estonie	99
Finland	99
France	98
Germany	99
Hungary	98
Iceland	98
Ireland	92
Italy	102
Lithuanie	91
Malta	97
Netherlands	100
New Zeeland	99
Norway	100
Poland	99
Portugal	95
Russie	97
Slovakia	96
Slovenia	96
Spain	98
Sweden	99
Nations	IQ
Switzerland	101
United Kingdom	100
United States	98
European-South-Asian	92
Bulgaria	93
Croatie	90
Greece	92
Israel	95
Turkey	90
Romania	94
Serbie	89
Southeast Asian	90
Indonesia	87
Laos	88
Malaysia	92
Philippines	86
Thailand	91
Vietnam	94
Pacific Islanders	85
Cook Islands	89
Fiji	85
Mariana Islands	81
Marshall Islands	84
New Caledonia	85
Papua New Guinea	83
Tonga	86
Western Samoa	88
South Asia/N. Africa	84
Egypt	81
India	82
Nations	IQ
Iran	84
Iraq	87
Jordan	84
Kuwait	86
Lebanon	82
Mauritius	89
Morocco	84
Nepal	78
Pakistan	84
Qatar	78
Sri Lanka	79
Syrie	83
Yemen	85
S-Saharan African	67
Cameroon	64
Cent. African Republic	64
Congo-Brazzaville	64
Congo-Zaire	65
Equatorial Guinea	59
Ethiopia	64
Ghana	71
Guinea	67
Kenya	72
Mozambique	64
Nigeria	69
Sierra Leone	64
South Africa	72
Sudan	71
Swaziland	72
Tanzanie	72
Uganda	73
Zambie	71
Zimbabwe	66

In nations populated by hybrid populations like Latin America, mean I.Q is predictable from the proportion of the different races.

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

Nations	Measured IQ	Predicted IQ	Racial Composition
Argentine	93	97	85% European, 15% Amerindian & Mestizo
Barbados	80	71	80% African, 16% Mulatto, 4% European
Bermuda	90	85	61 % African & Mulatto, 37% European
Bolivie	87	88	42% Amerindian, 31% Mestizo, 15% European
Brazil	87	90	53% European, 3% Amerindian, 12% Mestizo, 11 % African, 22% Mulatto
Chile	90	92	92% Mestizo & European, 7% Amerindian
Colombie	84	89	1% Amerindian, 58% Mestizo, 20% European, 4% African, 14% Mulatto, 3% African-Amerindian
Cuba	85	92	12% African, 22% Mulatto, 66% European
Dominica	67	68	90% African, 6% Mulatto, 4% Amerindian
Dominican Republic	82	84	11% African, 73% Mulatto, 16% European
Ecuador	88	87	40% Amerindian, 40% Mestizo, 5% European, 5% African
Guatemala	79	85	55% Amerindian, 42% Mestizo, 3% European
Honduras	81	90	90% Mestizo, 7% Amerindian
Jamaica	71	71	76% African, 15% Mulatto, 3% European, 3% East Indian
Mexico	88	88	30% Amerindian, 60% Mestizo, 9% European
Paraguay	84	91	3% Amerindian, 90% Mestizo, 7% European
Puerto Rico	84	93	76% European, 24% African & Mulatto
St. Lucia	62	75	90% African, 6% Mulatto, 3% East Indian
St. Vincent	71	73	65% African, 23% mixed and other, 6% East Indian, 2% Amerindian, 4% European
Suriname	89	83	10% African, 35% Mulatto, 3% Amerindian, 33% East Indian, 16% SE Asian
Uruguay	96	96	8% Mestizo, 86% European, 6% African
Venezuela	84	85	67% Mestizo, 21% European, 10% African, 2% Amerindian

3. Average Salary predicted by National I.Q, Linear Regrestion (Lynn and Vanhanen, 2002)

NATIONAL I.Q (Lynn and Vanhanen, 2002).

Correlation with economic success 0,757 About 75% of the economic variance between countries is explained by the average IQ of the population. 3 elements come down the correlation (which, without them, would be even more important): 1. The degree of economic freedom: countries that have lived (or still live) communism are of course much poorer than the others 2. The quantity of natural resources (eg oil in the Middle East that increases the GDP of these countries) 3. The internal organization of the country: putting the intellectual elite in economic power increases the global wealth of all. GDP = Gross Domestic Product Fitted GDP (FGDP) = GDP per capita predicted from the national I.Q GDP / FGDP = indicates whether the country is doing better or worse than its IQ predicts. A positive figure indicates that the salary is higher than the average I.Q predicts. A negative result indicates that the country could do better given its average I.Q.

Pays	Q.I moyen	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

4. Exponential Correlation between National I.Q and Average Salary (better relation than the linear regretion)

In a 2006 study (Exponential correlation of I.Q and the wealth of nations, Intelligence, 34, pp291-295), E. Dickerson shows that an exponential correlation is more correct to describe the link between national I.Q and GDP per capita (average salary).

An I.Q gain of 10 points translates into a doubling of the national average salary.
A gain of 5 I.Q point multiplies the average salary by 1.45.

Example: Cameroon has an average Q.I of 70 and a salary of $ 1474.

Ecuador has an average Q.I of 80 and an average salary of $ 3003 (about double)

Turkey has an average Q.I of 90 and an average salary of $ 6422 (about double)

Hong Kong with an average Q.I of 107 has almost 20 points more than Turkey and has a salary of $ 20,763, almost 2.2 = 4 times the average Turkish salary.

5. Other Measures Correlated to National I.Q

QHC: quality of human conditions

All countries	Total (192 countries)
QHC	0.725
PPP GNI per capita 2002	0.342
Adult literacy rate 2002	0.655
Tertiary enrollment ratio	0.699
Life expectancy at birth 2002	0.690
Index of Democratization 2002	0.322
Excluding smallest countries	Total (160 countries)
QHC	0.839
PPP GNI per capita 2002	0.649
Adult literacy rate 2002	0.733
Tertiary enrollment ratio	0.780
Life expectancy at birth 2002	0.817
Index of Democratization 2002	0.584

Development Index (HDI) Gender-related Development Index (GDI) Economic growth rate (EGR) Gini index of inequality in income or consumption (Gini) Population below $2 a day international poverty line (Poverty) Measures of undernourishment (PUN) Maternal mortality ratio (MMR) and infant mortality rate (IMR) Corruption Perceptions Index (CPI) Economic freedom ratings (EFR) the Index of Economic Freedom (IEF) Population pyramids (MU-index) Human happiness and life-satisfaction.

Correlations IQ QHC HDI 0.776 0.940 GDI 0.849 0.951 EGR 3 0.747 0.840 EGR 4 0.709 0.871 Gini -0.538 -0.464 Poverty -0.653 -0.799 PUN 1 -0.500 -0.648 MMR -0.730 -0.759 IMR -0.771 -0.861 CPI 0.591 0.762 EFR 0.606 0.674 IEF 0.418 0.620 MU-index 0.806 0.902 Happiness 0.029 0.315 Life satisfaction 0.033 0.396

Latitudes and temperatures

Correlation	Latitude	Temperature
Degrees latitude	1	-0.885
Annual mean temperature	-0.885	1
National IQ	0.677	-0.632
QHC	0.659	-0.562
PPP GNI per capita 2002	0.528	-0.407
Adult literacy rate 2002	0.482	-0.467
Tertiary enrollment ratio	0.718	-0.649
Life expectancy at birth 2002	0.505	-0.379
Index of Democratization 2002	0.512	-0.460

Human Development Index (2009) by national average Q.I

6. National Mean IQ and Associated Socity

References

Dickerson E. (2006) « Exponential correlation of I.Q and the wealth of nations » Intelligence 34, 291-295

Hafer R.W. (2016) « Cross-country evidence on the link between IQ and financial development » Intelligence 55, 7–13

Lynn R. and Vanhanen T. (2002) « I.Q and the wealth of nations »

Lynn R. and Vanhanen T. (2006) « I.Q and Global inequality »

Lynn R. and Vanhanen T. (2012) « Intelligence: an unifying factor for the social science »