Szekessy Vilmos (szerk.): A Magyar Természettudományi Múzeum évkönyve 59. (Budapest 1967)

Éry, K.: An anthropological study of the Late Avar Period population of Ártánd

Table 5. : Estimation of the Number of Generations and Families. Artand Time in years of cemetery use Number of generations Number of dead per year Size of population Number of families according to Time in years of cemetery use Number of generations Number of dead per year Size of population Győrffy (1963) Éry - Kralo­vánszky(1963) Time in years of cemetery use Number of generations Number of dead per year Size of population 5 ? members 260 7. 4 2. 5 88 17. 6 12. 5 230 6. 5 2. 8 100 20. 0 14. 2 200 5. 7 3. 2 114 22. 8 16. 2 170 4.8 3. 8 135 27. 0 19. 2 140 4. 0 4. 6 162 32. 4 23. 1 100 2. 8 6.5 232 46. 4 37. 1 The dimorphism is rather more expressed on the Ártánd skeletal bones than'on the skulls. If the sexual dimorphism of the Ártánd population is considered on the basis of 22 morphological criteria, it will be found that the morphological sexual differences are rather more expressed than the metric ones. The males show a mean sexual expression of + 0.G6, whereas the females —0.52. However, there are essential dif­ferences, according to age groups, in the tendency of sexual expression (Table 8). Table 6. : Sex Dimorphism Index Values of Different Series from the Avar Period Martin No. János ­hida (Wenger, 1953) Adorján (Bartucz­Farkas, 1957) Üllő II. (Lipták, 1955) Szentes Kaján (Wenger, 1955) Alattyán ( Wenger, 1957) Üllő I. (Lipták, 1955)' 1. 92. 2 96. 2 96. 4 95. 9 94. 6 96. 6 8. 97. 4 98. 3 95. 9 98. 3 ÜT. 4 98. 0 9. 100. 2 98. 7 96. 3 98. 3 96 3 96. 9 17. 94. 0 96. 6 97. 2 93. 4 95 6 96. 7 40. 102. 1 95. 3 97. 2 95. 9 94. 4 95. 7 45. 95. 1 92. 9 93. 6 93. 9 92. 9 95. 6 47. 96. 1 93. 6 94. 0 95. 5 93 2 93. 5 48. 98. 1 96. 1 95. 4 96. 5 94. 9 95. 4 52. 101. 7 101. 8 102. 5 101. 7 99 1 109. 8 V 100 = 17. 2 18. 1 18. 2 24. 6 24 8 26. 0 Martin No Ártánd Homokmégy (Lipták, 1957b) Kecel (Lipták,1954) Csákberény (Tóth, 1962) Tiszaderzs (Lebzelter,1957) 1. 94. 6 97. 1 97. 8 94. 2 94. 8 8. 97. 9 96. 7 96. 9 94. 6 96. 8 9. 96. 7 96. 6 95. 4 95. 4 92. 7 17. 96. 7 94. 2 96. 3 95. 1 92. 2 40. 93. 9 96. 6 96. 9 93. 5 92. 3 45. 93. 5 92. 8 93. 3 92. 5 93. 4 47. 92. 1 91. 8 91. G 89. 8 90. 1 48. 92. 4 91. 3 94. 1 93. 1 91.3 52. 99. 2 97. 9 110. 7 101. 5 96. 7 v 100 = 28. 3 30. 7 36. 0 40. 1 48. 9

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