The Himalaya by the Numbers: A Statistical Analysis - Himalayan ...

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Peak ID Peak Name 138 Appendix A Alt (m) Region Exp Cnt Mbrs Above BC Women Above BC Hired Above BC Mbr Smts Women Smts Hired Smts FIRN Firnkopf 6730 7 2 11 0 9 0 0 0 FIRW Firnkopf West 6745 7 1 3 0 2 2 0 1 GAJA Gajang 6111 5 1 1 0 1 0 0 0 GAMA Gama Peak 7149 6 2 17 0 15 4 0 2 GAN1 Ganesh I 7422 4 8 51 6 32 3 1 0 GAN2 Ganesh II 7118 4 10 61 1 24 4 0 5 GAN3 Ganesh III 7043 4 6 43 1 9 9 0 2 GAN4 Ganesh IV 7104 4 9 66 1 17 20 1 2 GAN5 Ganesh V 6770 4 3 20 0 8 12 0 7 GAN6 Ganesh VI 6908 4 2 16 0 8 4 0 0 GANC Ganchempo 6387 3 13 53 4 19 15 2 4 GANG Gangapurna 7455 5 22 144 6 56 32 2 6 GAUG Gaugiri 6110 5 4 8 2 4 6 1 3 GAUR Gaurishankar 7135 2 21 142 5 30 4 0 2 GHEN Ghenge Liru 6596 3 1 1 0 2 1 0 2 GHUN Ghustang North 6529 6 4 9 0 17 9 0 6 GHUS Ghustang South 6465 6 1 1 0 5 0 0 0 GIME Gimmigela Chuli East 7007 1 2 24 0 6 18 0 6 GIMM Gimmigela Chuli 7350 1 6 66 1 24 17 0 8 GLAC Glacier Dome 7193 5 25 177 11 74 52 2 13 GURJ Gurja Himal 7193 6 8 66 9 27 19 3 11 GURK Gurkarpo Ri 6889 3 5 35 2 10 0 0 0 GYAC Gyachung Kang 7952 2 12 90 3 42 21 0 5 GYAJ Gyajikang 7074 5 6 49 4 17 26 0 11 GYAL Gyalzen 6733 3 4 10 4 13 6 2 7 HCHI Hunchi 7029 2 6 27 0 16 8 0 4 HIME Himalchuli East 7893 4 24 189 3 91 17 0 4 HIMJ Himjung 7092 5 1 3 0 0 0 0 0 HIML Himlung Himal 7126 5 22 154 25 41 50 6 19 HIMN Himalchuli North 7371 4 3 24 0 8 3 0 4 HIMW Himalchuli West 7540 4 5 27 0 15 7 0 0 HIUP Hiunchuli 6441 5 2 12 2 0 5 0 0 HNKU Hongku Chuli 6833 2 1 2 0 3 0 0 0 HONG Hongde 6556 6 3 9 0 9 4 0 2 IMJA Imjatse 6165 2 6 12 0 7 7 0 6 JANK Janak 7041 1 3 6 0 4 2 0 0 JANU Jannu 7711 1 44 280 7 112 63 0 9 JETH Jethi Bahurani 6850 7 3 17 0 4 3 0 0 JOMS Jomsom 6120 5 1 5 1 1 4 1 1 JONG Jongsang 7462 1 5 70 0 6 3 0 0 JUNC Junction Peak 7108 6 1 9 0 8 0 0 0 KABN Kabru North 7338 1 3 31 0 3 4 0 0 KABR Kabru Main 7412 1 1 27 0 0 4 0 0 KABS Kabru South 7318 1 2 31 0 2 6 0 0 KAN1 Kande Hiunchuli N I 6521 7 3 11 0 2 0 0 0 KAN2 Kande Hiunchuli N II 6471 7 2 9 0 1 2 0 0 KANB Kangbachen 7902 1 5 57 0 18 14 0 1 KANC Kangchenjunga Cntrl 8473 1 7 103 1 56 27 0 0 KAND Kande Hiunchuli 6627 7 5 28 5 12 2 0 0 KANG Kangchenjunga 8586 1 97 805 46 357 183 2 26 KANS Kangchenjunga South 8476 1 5 79 0 39 26 0 0 KANT Kanti Himal 6859 7 4 17 0 8 5 0 3 KARY Karyolung 6511 2 5 29 4 9 15 2 3 KCHO Kangcho Nup 6043 2 3 8 0 12 8 0 3
Peak ID Mbr Smt Rate Mbr Deaths Women Deaths Hired Deaths Mbr Death Rate Hired Death Rate Exp Days Avg. Suc Exp Days Avg. Smt Days Avg. Min Smt Days Max Smt Days FIRN 0.00 1 0 0 9.09 0.00 23.5 0.0 0.0 0 0 FIRW 66.67 0 0 0 0.00 0.00 10.0 10.0 8.0 8 8 GAJA 0.00 0 0 0 0.00 0.00 14.0 0.0 0.0 0 0 GAMA 23.53 0 0 0 0.00 0.00 45.0 45.0 42.0 42 42 GAN1 5.88 1 0 0 1.96 0.00 24.8 37.0 34.0 34 34 GAN2 6.56 3 0 0 4.92 0.00 35.7 31.0 28.0 27 29 GAN3 20.93 1 0 0 2.33 0.00 27.5 31.5 26.0 17 35 GAN4 30.30 4 0 0 6.06 0.00 24.1 27.0 24.0 16 40 GAN5 60.00 0 0 0 0.00 0.00 31.0 31.0 25.7 22 30 GAN6 25.00 0 0 0 0.00 0.00 50.0 50.0 43.0 42 44 GANC 28.30 0 0 0 0.00 0.00 19.4 19.3 16.0 6 28 GANG 22.22 5 0 5 3.47 8.93 27.7 37.4 30.6 19 44 GAUG 75.00 0 0 0 0.00 0.00 4.8 3.0 2.0 2 2 GAUR 2.82 1 0 0 0.70 0.00 27.4 34.0 31.7 30 34 GHEN 100.00 0 0 0 0.00 0.00 10.0 10.0 5.0 5 5 GHUN 100.00 0 0 0 0.00 0.00 26.3 26.3 22.5 17 28 GHUS 0.00 0 0 0 0.00 0.00 0.0 0.0 0.0 0 0 GIME 75.00 0 0 0 0.00 0.00 23.5 23.5 20.5 16 25 GIMM 25.76 3 0 0 4.55 0.00 31.5 36.7 29.7 26 37 GLAC 29.38 0 0 0 0.00 0.00 20.6 22.4 19.0 7 53 GURJ 28.79 4 1 0 6.06 0.00 23.6 24.9 20.7 9 28 GURK 0.00 0 0 0 0.00 0.00 12.5 0.0 0.0 0 0 GYAC 23.33 2 0 0 2.22 0.00 31.2 31.0 25.0 21 32 GYAJ 53.06 0 0 0 0.00 0.00 12.8 18.3 12.7 8 18 GYAL 60.00 0 0 0 0.00 0.00 29.3 35.7 22.3 19 26 HCHI 29.63 0 0 0 0.00 0.00 25.2 23.0 21.0 18 24 HIME 8.99 10 0 3 5.29 3.30 40.6 44.2 39.0 28 49 HIMJ 0.00 1 0 0 33.33 0.00 18.0 0.0 0.0 0 0 HIML 32.47 0 0 0 0.00 0.00 13.7 15.3 9.2 4 17 HIMN 12.50 3 0 0 12.50 0.00 31.3 32.5 29.5 25 34 HIMW 25.93 0 0 0 0.00 0.00 35.6 35.3 30.7 21 40 HIUP 41.67 0 0 0 0.00 0.00 19.0 19.0 17.0 17 17 HNKU 0.00 0 0 0 0.00 0.00 0.0 0.0 0.0 0 0 HONG 44.44 0 0 0 0.00 0.00 4.5 4.5 2.5 2 3 IMJA 58.33 0 0 0 0.00 0.00 2.0 2.0 1.0 1 1 JANK 33.33 0 0 0 0.00 0.00 26.3 26.0 25.0 25 25 JANU 22.50 6 0 1 2.14 0.89 33.5 37.2 33.9 6 60 JETH 17.65 0 0 1 0.00 25.00 29.0 22.0 20.0 20 20 JOMS 80.00 0 0 0 0.00 0.00 7.0 7.0 5.0 5 5 JONG 4.29 1 0 0 1.43 0.00 29.0 0.0 0.0 0 0 JUNC 0.00 0 0 0 0.00 0.00 0.0 0.0 0.0 0 0 KABN 12.90 0 0 0 0.00 0.00 0.0 0.0 0.0 0 0 KABR 14.81 0 0 0 0.00 0.00 0.0 0.0 0.0 0 0 KABS 19.35 0 0 0 0.00 0.00 22.0 0.0 0.0 0 0 KAN1 0.00 1 0 0 9.09 0.00 22.5 0.0 0.0 0 0 KAN2 22.22 0 0 0 0.00 0.00 22.5 28.0 22.0 22 22 KANB 24.56 0 0 0 0.00 0.00 35.3 39.5 30.5 21 40 KANC 26.21 0 0 0 0.00 0.00 39.5 47.8 42.0 19 71 KAND 7.14 0 0 0 0.00 0.00 16.3 20.0 18.0 18 18 KANG 22.73 24 4 7 2.98 1.96 41.9 43.6 38.0 19 71 KANS 32.91 0 0 0 0.00 0.00 43.8 47.5 41.3 18 72 KANT 29.41 0 0 0 0.00 0.00 12.3 18.0 16.0 16 16 KARY 51.72 0 0 0 0.00 0.00 18.3 23.0 18.5 15 22 KCHO 100.00 0 0 0 0.00 0.00 0.0 0.0 0.0 0 0 Appendix A 139
Page 3 and 4:
The Himalaya by the Numbers A Stati
Page 5:
Contents Introduction . . . . . . .
Page 8 and 9:
the first north-south traverses. Th
Page 10 and 11:
in the charts, 2 or 3-period moving
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400 300 200 100 0 2000 1800 1600 14
Page 14 and 15:
2000 1800 1600 1400 1200 1000 800 6
Page 16 and 17:
government starting in 1997 opened
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500 450 400 350 300 250 200 150 100
Page 20 and 21:
them. In fact during the late 1980s
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During the 1960s and early 1970s, e
Page 24 and 25:
250 200 150 100 50 0 250 200 150 10
Page 26 and 27:
100 75 50 25 0 1970 1971 1972 1973
Page 28 and 29:
a few brave and hardy souls are wil
Page 30 and 31:
900 800 700 600 500 400 300 200 100
Page 32 and 33:
Charts C-7a-c show the seasonal pat
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1000 800 600 400 200 100 80 60 40 2
Page 36 and 37:
closeness of the Himalaya. Many Jap
Page 38 and 39:
For all peaks, the average team mem
Page 40 and 41:
Periodically, massive storms fueled
Page 42 and 43:
40 Analysis of Climbing Activity
Page 44 and 45:
three most popular peaks, Ama Dabla
Page 46 and 47:
60 50 40 30 20 10 0 11.7 ANN1 (121/
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40 35 30 25 20 15 10 5 0 7.7 11.7 T
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70 60 50 40 30 20 10 0 40 35 30 25
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The results indicate that the sprin
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70 60 50 40 30 20 10 0 30 25 20 15
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70 60 50 40 30 20 10 0 70 60 50 40
Page 58 and 59:
40 35 30 25 20 15 10 5 0 80 70 60 5
Page 60 and 61:
100 60 50 40 30 20 10 90 80 70 60 5
Page 62 and 63:
Ascents by Citizenship Table A-24 s
Page 64 and 65:
Ascents by Gender Table and Chart A
Page 66 and 67:
60 50 40 30 20 10 0 Chart A-27: Asc
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had a hard time making her own plat
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60 55 50 45 40 35 30 25 20 15 10 5
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900 800 700 600 500 400 300 200 100
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60 50 40 30 20 10 0 80 70 60 50 40
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70 60 50 40 30 20 10 0 60 50 40 30
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Peak ID Peak Name Height Region 76
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Members have higher percentage of a
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considerable effort through deep sn
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3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 2.5
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3.0 2.5 2.0 1.5 1.0 0.5 0.0 0 0 The
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Deadliest Peaks for Members The nex
Page 90 and 91: when five Austrians and their Sherp
Page 92 and 93: 10 9 8 7 6 5 4 3 2 1 0 4.5 4.0 3.5
Page 94 and 95: days in 1975 (the first verified as
Page 96 and 97: Whether significant or not, the dea
Page 98 and 99: and higher spring death rates on Ma
Page 100 and 101: of an autumn 1992 Makalu II expedit
Page 102 and 103: a climb. For hired, falls were the
Page 104 and 105: Summit and the Hillary Step (9 of 2
Page 106 and 107: summer season as very few climbers
Page 108 and 109: 2.5 2.0 1.5 1.0 0.5 0.0 106 Death A
Page 110 and 111: 100 20 18 16 14 12 10 90 80 70 60 5
Page 112 and 113: Deaths by Falling While avalanching
Page 114 and 115: 10 9 8 7 6 5 4 3 2 1 0 16 14 12 10
Page 116 and 117: Time of Day All Peaks 6000ers All F
Page 118 and 119: Deaths by Physiological Causes Phys
Page 120 and 121: Deaths by Age Groups Table and Char
Page 122 and 123: Deaths by Expedition Years Chart D-
Page 124 and 125: All Peaks Everest Citizenship Above
Page 126 and 127: 2.5 2.0 1.5 1.0 0.5 0.0 10.0 9.0 8.
Page 128 and 129: Table and Chart D-42 below show mem
Page 130 and 131: Table and Chart D-44 below show mem
Page 132 and 133: Everest, Spring 1996 A total of eig
Page 134 and 135: On the evening of 6th it started to
Page 136 and 137: camp at 7500m but there was nothing
Page 138 and 139: Peak ID Peak Name 136 Appendix A Al
Page 148 and 149: 146 Appendix A
Page 150 and 151: In Chart D-4, the sample sizes are
Page 152 and 153: 90 80 70 60 50 40 30 20 10 0 32.2 2
Page 154 and 155: 45 40 35 30 25 20 15 10 5 0 11.9 4.
Page 156 and 157: 6 5 4 3 2 1 0 1.16 0.43 0.13 BARU (
Page 158 and 159: 16 14 12 10 8 6 4 2 0 2.42 1.80 700
Page 160 and 161: 30 25 20 15 10 5 0 1.29 0.09 0.41 1
Page 162 and 163: 8 7 6 5 4 3 2 1 0 3.04 0.0 LSHR (0/
Page 164: 5.0 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0
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