Senarai Negara mengikut IQ
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Senarai Negara mengikut IQ adalah berdasarkan data analisis melalui kajian literatur yang dikumpulkan oleh Lynn dan Vanhanen. Mereka memilih data IQ daripada kajian yang merangkumi 113 negara. Untuk 79 negara-negara lain, mereka menjangkakan IQ bererti atas dasar aritmatika sarana diukur IQ negara-negara jiran. Mereka membenarkan kaedah anggaran dengan menunjukkan bahawa korelasi antara IQ negara yang dianggarkan mereka dilaporkan dalam IQ dan Wealth of Nations dan IQ negara yang diukur sejak diperolehi sangat tinggi (0,913). Dalam jadual di bawah ini, anggaran ini telah ditandai dengan tanda bintang (*). Grafik juga termasuk IQ diukur dan dijangka dari IQ dan Wealth of Nations.
Lynn dan Vanhanen menghitung IQ nasional dalam hubungannya dengan Inggeris rata-rata 100, dengan [] deviasi [baku] dari 15. Mereka disesuaikan semua hasil ujian ke akaun untuk [kesan [Flynn]]: penyesuaian 2 mata satu dekad untuk [matrik [Raven 's Progressive]] mata dan 3 satu dekad untuk semua jenis ujian. Ketika dua IQ kajian yang digunakan dari satu negara, bererti mereka dikira, sedangkan bila tiga atau lebih yang sedia, median digunakan. [1] Lynn dan Vanhanen mengesyorkan penyediaan yodium dan mikro yang lain sebagai cara untuk meningkatkan fungsi kognitif dalam Dunia Ketiga.
Negara/Wilayah | IQ (2023)[2] | IQ (2006)[1] | KKB-PNB per kapita 2003[1] | KKM[1] |
---|---|---|---|---|
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107 | 108[3] | 27490 | 60.8 |
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103 | 108[3] | 23730 | 60.7 |
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106 | 106[3] | 16960 | 75.4 |
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105* | 106*[4] | 1000 | 38 |
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105 | 105[4] | 27380 | 71.4 |
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104 | 105[4] | 23400 | 79.4 |
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100 | 105[4] | 4520 | 39.7 |
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102 | 102[4] | 26170 | 78.9 |
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98* | 101[4] | 29240 | 80 |
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101 | 101[4] | 31840 | 82.2 |
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98* | 101*[4] | 1710 | 48.1 |
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102 | 100[4] | 28910 | 80.7 |
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101* | 100*[4] | 53230 | 76.4 |
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102 | 100[4] | 28350 | 82.8 |
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98 | 100[4] | 36690 | 89 |
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100 | 100[4] | 26580 | 76.7 |
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102 | 99[4] | 26980 | 78 |
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100 | 99[4] | 28130 | 84.1 |
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97 | 99[4] | 28930 | 77.8 |
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97* | 99[4] | 11630 | 64.5 |
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97 | 99[4] | 26160 | 85.1 |
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100 | 99[4] | 20550 | 76.2 |
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99 | 99[4] | 10450 | 62.7 |
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101 | 99[4] | 25820 | 82.9 |
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N/A | 98*[4] | 19000 | 58.7 |
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97 | 98[4] | 21910 | 75.8 |
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98 | 98[4] | 27440 | 82.8 |
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97 | 98[4] | 14920 | 64.5 |
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98 | 98[4] | 30600 | 85.4 |
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98 | 98[4] | 27040 | 78.1 |
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99 | 98[4] | 13070 | 64.1 |
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97* | 98*[4] | 9190 | 65.5 |
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98* | 98*[4] | 36120 | 86.6 |
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96* | 97*[4] | 5500 | 57.2 |
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95* | 97[4] | 17710 | 66.4 |
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96 | 97[4] | 8080 | 64.5 |
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96* | 97*[4] | 4800 | 61.8 |
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95* | 96*[4] | 1600 | 46.2 |
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96 | 96[4] | 12590 | 63.2 |
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96 | 96[4] | 7710 | 64 |
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94 | 95[4] | 19000 | 75.3 |
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95 | 95[4] | 17820 | 67 |
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93* | 94*[4] | 3230 | 50.2 |
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93* | 94*[4] | 2270 | 51.2 |
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93* | 94*[4] | 5630 | 49 |
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94 | 94[4] | 6490 | 53 |
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96* | 94*[4] | 2300 | 39.5 |
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96 | 93[4] | 10190 | 64.7 |
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93 | 93[4] | 7030 | 59.1 |
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92 | 92[4] | 18770 | 76.1 |
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92 | 92[4] | 8500 | 78.5 |
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93 | 92[4] | 29570 | 52.1 |
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92* | 91*[4] | 19210 | 50.8 |
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89* | 91*[4] | 1970 | 28.6 |
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92* | 91*[4] | 18650 | 67.6 |
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97* | 91[4] | 10190 | 65.4 |
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93* | 91*[4] | 6420 | 54.4 |
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91 | 91[4] | 6890 | 50.3 |
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N/A | 90*[4] | 5800 | 51.4 |
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90* | 90*[4] | 4960 | 51.2 |
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90 | 90[4] | 10000 | 61.7 |
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N/A | 90[4] | 36000 | 75.8 |
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93* | 90[4] | 9420 | 59.5 |
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87* | 90*[4] | 1560 | 48.1 |
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90 | 90[4] | 6300 | 50.2 |
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87 | 90[4] | 12500 | 52.9 |
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89 | 89[4] | 6590 | 50.6 |
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N/A | 89[4] | 5000 | 45.7 |
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91* | 89*[4] | 8650 | 53.7 |
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89* | 89[4] | 1660 | 24.9 |
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81* | 89[4] | 10820 | 52.2 |
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80 | 88[4] | 3340 | 47.4 |
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|
89 | 88[4] | 1600 | 28.1 |
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87 | 88[4] | 5570 | 49.7 |
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87* | 87*[4] | 3010 | 47.2 |
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85* | 87[4] | 2390 | 49.7 |
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87 | 87[4] | 7450 | 51.1 |
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N/A | 87*[4] | 3940 | 46.7 |
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84* | 87*[4] | 3070 | 40.2 |
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87 | 87[4] | 1027 | 30.7 |
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87* | 87*[4] | 1640 | 27.5 |
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87* | 87*[4] | 4780 | 41.7 |
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87* | 87*[4] | 1640 | 39.4 |
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86* | 87*[4] | 930 | 42.4 |
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86 | 86[4] | 4450 | 51.6 |
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83* | 86[4] | 17780 | 49.9 |
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81* | 86*[4] | 18232 | 60.6 |
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87 | 86[4] | 6820 | 40.5 |
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85 | 85[4] | 5259 | 46.2 |
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84 | 85[4] | 5330 | 51.9 |
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84* | 85*[4] | 800 | 37.1 |
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N/A | 85[4] | 21960 | 54.9 |
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90 | 85[4] | 4880 | 49.2 |
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83* | 85[4] | 800 | 24.5 |
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80* | 85*[4] | 9000 | 52 |
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83* | 84*[4] | 700 | 13.2 |
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83* | 84*[4] | 15960 | 56.1 |
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88 | 84[4] | 5490 | 44.2 |
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84* | 84*[4] | 6150 | 48.4 |
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84 | 84[4] | 6690 | 40.2 |
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87* | 84[4] | 4180 | 43.4 |
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84 | 84[4] | 1600 | 44.2 |
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85 | 84[4] | 2000 | 39.9 |
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81* | 84[4] | 1730 | 31.7 |
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84* | 84*[4] | 1960 | 26.2 |
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85* | 84[4] | 6060 | 56.6 |
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84 | 84[4] | 4590 | 45.2 |
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83* | 84*[4] | 15800 | 63.6 |
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84* | 84*[4] | 12660 | 44.1 |
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78* | 84*[4] | 1590 | 41.5 |
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83* | 84*[4] | 24030 | 48.8 |
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84* | 84*[4] | 2850 | 31.4 |
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88* | 84[4] | 5220 | 47.4 |
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87 | 83[4] | 5348 | 38.9 |
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84* | 83*[4] | 6440 | 40.6 |
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84* | 83*[4] | 5530 | 39.9 |
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84* | 83*[4] | 7570 | 49.3 |
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83* | 83*[4] | 16190 | 49.3 |
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83* | 83*[4] | 13000 | 40.6 |
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81* | 82*[4] | 1720 | 29.8 |
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84* | 82[4] | 6270 | 46.8 |
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86 | 82[4] | 4600 | 55.8 |
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79* | 82[4] | 730 | 28.6 |
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81 | 82[4] | 2650 | 36.3 |
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83 | 81[4] | 3810 | 37.3 |
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81* | 81*[4] | 4798 | 38.5 |
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78* | 80*[4] | 1969 | 24.1 |
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84* | 81[4] | 2540 | 41.9 |
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84 | 81[4] | 2180 | 38.4 |
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84* | 81*[4] | 2350 | 41.3 |
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N/A | 81[4] | 12500 | 51.3 |
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78 | 80[4] | 14660 | 60.9 |
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84* | 80*[4] | 4790 | 42.6 |
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79 | 79[4] | 4040 | 34.6 |
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81* | 79[4] | 3510 | 47.7 |
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78 | 78[4] | 19844 | 45.6 |
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78 | 78[4] | 1370 | 26.9 |
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79* | 77*[4] | 1640 | 24.6 |
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78* | 76*[4] | 4920 | 40.5 |
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73* | 76*[4] | 1790 | 20.5 |
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73 | 73[4] | 1360 | 25.4 |
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72 | 72[4] | 1010 | 27.3 |
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72 | 72[4] | 9810 | 38.3 |
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72 | 72[4] | 580 | 23.2 |
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72 | 71[4] | 1740 | 24.6 |
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71 | 71[4] | 2080 | 33.7 |
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75* | 71*[4] | 6600 | 45.3 |
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72 | 71[4] | 3680 | 46.5 |
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75* | 71[4] | 5190 | 48.4 |
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77 | 71[4] | 800 | 21.8 |
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75* | 70*[4] | 10390 | 53.2 |
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69* | 70*[4] | 1060 | 20.5 |
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72* | 70*[4] | 7740 | 29.4 |
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72* | 70*[4] | 6880 | 31.1 |
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70* | 70*[4] | 1260 | 18.5 |
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69* | 70*[4] | 1450 | 26 |
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70* | 69*[4] | 630 | 15.2 |
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71* | 69*[4] | 1450 | 18.1 |
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71* | 69*[4] | 570 | 24.3 |
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68* | 69*[4] | 840 | 13.4 |
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67* | 69*[4] | 800 | 13.5 |
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67 | 69[4] | 800 | 27.3 |
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72* | 68*[4] | 1010 | 20.4 |
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69* | 68*[4] | 1840 | 13.7 |
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66* | 68*[4] | 1090 | 10.7 |
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68* | 68*[4] | 2040 | 22 |
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68* | 68*[4] | 1040 | 21.4 |
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68* | 68*[4] | 500 | 15.2 |
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72* | 68*[4] | 4730 | 22.2 |
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75* | 67[4] | 4960 | 48.8 |
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63 | 67[4] | 2060 | 22.5 |
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63* | 67*[4] | 680 | 20.3 |
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72* | 67*[4] | 1610 | 20.4 |
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72* | 67*[4] | 2970 | 24.3 |
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64* | 67*[4] | 1000 | 21.2 |
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75* | 67*[4] | 10750 | 45.5 |
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59* | 67*[4] | 1317 | 37.9 |
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64* | 66*[4] | 1660 | 20.7 |
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64* | 66*[4] | 1540 | 21.3 |
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66 | 66[4] | 2180 | 25.2 |
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73 | 65[4] | 630 | 17.9 |
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70* | 64[4] | 1910 | 23.1 |
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68* | 64[4] | 1170 | 19.1 |
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65 | 64[4] | 700 | 26.9 |
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63 | 64[4] | 780 | 29.7 |
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66* | 64*[4] | 5530 | 32.2 |
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72* | 64[4] | 990 | 18 |
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64 | 64[4] | 500 | 13.8 |
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75* | 62[4] | 4950 | 51.1 |
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59 | 59[4] | 9100 | 30.4 |
Rujukan
[sunting | sunting sumber]- ^ a b c d Richard Lynn dan Tatu Vanhanen (2023). IQ and Global Inequality. Penerbit: Augusta, GA. ISBN 1-59368-025-2
- ^ Lynn, R. dan Vanhanen, T. (2023). IQ and the wealth of nations. Westport, CT: Praeger. ISBN 0-275-97510-X
- ^ a b c Lynn, Richard; Vanhanen, Tatu (2023). IQ and Global Inequality (PDF). m/s. 55–61. Diarkibkan daripada yang asal (PDF) pada 2016-02-10. Dicapai pada 2016-10-10.
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