bfu – Swiss Council for Accident Prevention
STATUS 2013
Statistics on non-occupational accidents and the level of safety in Switzerland
Revised extrapolation
based on new data
Road traffic, sports, home and leisure
STATUS 2013
Statistics on non-occupational accidents and the level of safety in Switzerland
bfu – Swiss Council for Accident Prevention
Published by bfu – Swiss Council for Accident Prevention P.O. Box 8236 CH-3001 Berne Tel. +41 31 390 22 22 Fax +41 31 390 22 30 [email protected] Individual statistics and the complete publication are available at www.bfu.ch Project team Steffen Niemann, M.A., Research Associate, bfu Yvonne Achermann Stürmer, lic. rer. pol., Research Associate, bfu Giannina Bianchi, MSc ETH Bew.-wiss., Research Associate, bfu Stefanie Fahrni, Project Assistant, Research, bfu Regula Hayoz, Project Assistant, Research, bfu Publications/Languages Dept., bfu
Translation Anglia Translations AG, Matthofstrand 10, CH-6005 Lucerne © bfu 2013 All rights reserved; reproduction (e.g. photocopying), storage, processing and distribution are permitted if source is quoted (q.v. suggested source quotation below). Suggested source quotation bfu – Swiss Council for Accident Prevention. STATUS 2013: Statistics on non-occupational accidentsandthelevelofsafetyinSwitzerland,Roadtraffic,sports,homeandleisure. Berne: bfu; 2013. ISSN 1664–574X (PDF)
Forreasonsoflegibility,thispublicationdoesnotcontaingender-specificreferences. Slight differences in table totals are possible due to rounding up/down. We trust this will not cause our readers any inconvenience.
Imprint
Foreword
bfu accident figures – even more meaningful
Dear Reader
Ithinkthatthenewfigurescontainedinthisyear’sSTATUS
are of particular interest. In particular, we are now in a po-
sition to give you a more accurate picture of the accident
situation among unemployed people in Switzerland. This
will enable us to pinpoint any need for action following
accidents involving children and the elderly.
Approximately 1 million people injured in non-occupational
accidents – the updated extrapolation thus confirms the
previously reported extent of non-occupational accidents.
The accident focal points also remain the same. For exam-
ple, football and skiing in sports as well as falls in the home
and leisure sector. The number of accidents among children
is lower than previously assumed but is much higher among
the elderly. The results of the updated extrapolation will be
incorporated into future bfu programmes and will play a
part in its prevention objectives for the years ahead.
The coming year will also see an innovation with the new
figures incorporated into the calculation of economic
costs. As before, it can be stated: while the costs caused
by leisure accidents are high, there is a major need for ac-
tion.Thisisfurtherconfirmationoftheneedforthebfu’s
commitment to keeping people safe.
Brigitte Buhmann
Managing Director, bfu
Revised extrapolation based on new data
Untilnow,theextrapolationofthefiguresforchil-
dren’s and seniors’ accidents has essentially been
based on two outdated surveys from the years
1991 and 1995. The bfu therefore felt it was im-
portant to create a new basis to replace these two
studies. In 2011, we conducted a large-scale survey
in which 15,000 households provided informa-
tion about their accidents during the previous year.
The results have now been incorporated into the
STATUSextrapolations.Otherimportantdatasourc-
es for STATUS are accident insurance companies
andthestatisticsonroadtrafficaccidentsrecorded
by the police.
bfu–STATUS2013 5
Contents
Non-occupational accidents 7
Accidents 8
Accidents as a public health problem 8
Overview 9
Age / Gender 11
Social burden 12
Road traffic 13
Accidents 14
Extrapolationroadtraffic 14
Long-term development 15
Pedestrians / Bicycle 19
Car / Motorcycle 20
Accident causes 21
Age 22
Location 25
Exposure / Risk 27
International comparison 28
Behaviour and attitudes 29
Safety indicators 29
Self-reported modes of behaviour 33
Sports 35
Accidents 36
Overview 36
Age / Gender 37
Sports fatalities: Accidents in Switzerland 38
Injury localisation 39
Drowning accidents 40
Mountain sports 41
Avalanche accidents 42
Transportation or people injured in winter sports 43
Snowsports 44
Behaviour and attitudes 45
Snowsports 45
Self-reported modes of behaviour 46
Home and leisure 47
Accidents 48
Overview 48
Age / Gender 49
Falls 52
Behaviour and attitudes 53
Self-reported modes of behaviour 53
Appendix 54
An interpretation guide 54
Index 57
Non-occupational accidentsAccidents are a challenge to public health. Around 1 million people are injured in non-occupational accidents in Switzerland every year, more than 2,000 fatally. Alongside the pain and suffering, these accidents result in material costs amoun-ting to almost 12 billion Swiss francs. The bfu is doing its utmost to prevent severe and fatal accidents.
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8 Non-occupational accidents Accidentsasapublichealthproblem bfu–STATUS2013
Accidents as a public health problem
Deaths, by age and cause, 2010
Cause Age<1 1–14 15–44 45–64 65–84 85+ Total
DiseasesCirculatory system 3 4 185 1 453 8 490 11 824 21 959Cancer 0 22 407 3 613 9 167 3 069 16 278Respiratory organs 2 3 15 241 1 782 1 683 3 726Diabetes mellitus 0 0 11 98 601 540 1 250Infectious diseases 2 2 43 112 299 256 714Urinary organs 1 0 1 28 372 468 870Alcoholic cirrhosis of the liver 0 0 22 246 205 17 490Other diseases 296 41 310 1 155 5 194 6 800 13 796Total diseases 304 72 994 6 946 26 110 24 657 59 083
Accidents and acts of violenceAccidents 3 20 345 381 730 934 2 413Suicide 0 2 315 411 230 46 1 004Other acts of violence1 0 3 35 41 50 20 149Total accidents and acts of violence 3 25 695 833 1 010 1 000 3 566Total 307 97 1 689 7 779 27 120 25 657 62 6491 Mainly murder, manslaughter
Source: BFS, statistics on the causes of death TKU.T.01
Age-standardized mortality rates1, by age and cause, 2010
Cause Age<1 1–14 15–44 45–64 65–84 85+ Total
DiseasesCirculatory system 4 0 6 68 744 6 469 145Cancer 0 2 13 168 803 1 679 138Respiratory organs 3 0 1 11 156 921 25Diabetes mellitus 0 0 0 5 53 295 9Infectious diseases 3 0 1 5 26 140 6Urinary organs 1 0 0 1 33 256 6Alcoholic cirrhosis of the liver 0 0 1 12 18 9 5Other diseases 375 4 10 54 455 3 720 99Total diseases 386 7 31 324 2 288 13 489 432
Accidents and acts of violenceAccidents 4 2 11 18 64 511 20Suicide 0 0 10 19 20 25 11Other acts of violence2 0 0 1 2 4 11 2Total accidents and acts of violence 4 2 22 39 89 547 32Total 389 9 53 363 2 376 14 036 4641 Age-standardized mortylity rates (per 10,000 inhabitants), standardized European population2 Mainly murder, manslaughter
Source: BFS, statistics on the causes of death TKU.T.02
bfu–STATUS2013 Non-occupational accidents Overview 9
Overview
Non-occupational accidents among the residential population in Switzerland, 2010
Sector Persons injured2 Fatalities Case fatalityTotal Slightly injured Moderately
severely injuredSeverely injured Disabled
Road traffic 87 060 70 430 9 470 6 722 438 3061 35Sports 407 970 363 260 32 140 12 358 212 116 3Home and leisure 553 990 499 670 34 230 18 942 1 148 1 734 31Total 1 049 020 933 360 75 840 38 022 1 798 2 156 211 Fatalities on Swiss roads in 2010 (incl. tourists, occupational accidents, sports): 3272 Injury severity: – Slightly injured: <30 working days lost – Moderately severely injured: 30–89 working days lost – Severely injured and disabled: 90+ working days lost or disability pension
Source: bfu, revised extrapolation UNB.T.01
NBU, 9
Non-occupational accidents among the residential population in Switzerland: severely injured (disabled included)1, 2010
7 160
12 570
20 090
0
5 000
10 000
15 000
20 000
25 000
Road traffic Sports Home and leisure
Non-occupational accidents among the residential population in Switzerland: fatalities 2010
306
116
1 734
0
500
1 000
1 500
2 000
Road traffic Sports Home and leisure
Source: bfu, revised extrapolation UNB.G.01.1
Non-occupational accidents among the residential population in Switzerland: moderately severely injured1 2010
9 470
32 14034 230
0
10 000
20 000
30 000
40 000
Road traffic Sports Home and leisure
Non-occupational accidents among the residential population in Switzerland: case fatality 2010
35
3
31
0
10
20
30
40
Road traffic Sports Home and leisure
Source: bfu, revised extrapolation UNB.G.01.2
Source: bfu, revised extrapolation UNB.G.01.3 Source: bfu, revised extrapolation UNB.G.01.4
1 Injury severity: q.v. Table UNB.T.01 above 1 Injury severity: q.v. Table UNB.T.01 above
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10 Non-occupational accidents Overview bfu–STATUS2013
People injured and fatalities in the home and leisure sector, by selected accident circumstances, 2010
Accident circumstances People injured1 Fatalities Case fata-lity rate
People injured per 100,000 inhabitantsSlightly injured Moderately severely injured Severely injured
Contact with object, animal 44 420 1 020 80 11 2 585Getting trapped, crushed 12 900 590 70 3 2 174Poisoning, acid burn 10 710 600 290 6 5 149
FallsFall on level ground 143 520 16 250 9 850 … … 2 179Fall from a height 44 640 3 270 4 270 … … 670Fall on stairs, steps 41 620 5 930 2 300 … … 640Other fall 5 870 0 0 75Total for falls 235 650 25 450 16 420 1 413 51 3 564
Source: bfu, revised extrapolation UHF.T.08.1
Development of injured persons compulsorily insured (UVG), by sector, 1985–2011
Year Persons injured Insurees in 1,000s
Injured persons per
1,000 insurees
Road traffic
Sports Home and
leisure
Total
1985 67 883 135 474 183 823 387 180 3 028 1281990 71 603 141 702 208 690 421 995 3 420 1231995 57 846 153 285 210 687 421 818 3 228 1312000 58 099 145 476 211 839 415 414 3 567 1162005 56 284 148 762 236 483 441 529 3 760 1172010 50 707 188 675 246 299 485 681 3 916 1242011 54 613 189 360 244 533 488 506 4 027 121
Source: SSUV, UVG statistics UNB.T.05
1 Injury severity – Slightly injured: 30 working days lost – Moderately severely injured: 30–89 working days lost – Severely injured and disabled: 90+ working days lost or disability pension
People injured and fatalities in sports, by selected types of sport, 2010
Type of sport People injured1 Fatalities Case fatality
People injured per 100,000 hours of sport (2008)Slightly injured Moderately severely injured Severely injured
Soccer 75 540 6 480 1 840 0 0 180Downhill skiing (incl. touring) 40 850 6 820 3 630 20 4 46Snowboarding 11 980 1 600 340 4 3 68Cycling, biking (not in traffic) 13 320 570 290 0 0 17Bathing, swimming 11 890 440 190 13 10 16Mountaineering 4 520 460 280 44 84 13Rambling 12 360 1 590 720 7 5 …
Source: bfu, revised extrapolation; Swiss Sports and Recreation Observatory USP.T.10
NBU, 10 / 11 / 12
Development of injured persons compulsorily insured (UVG), by sector, 1985–2011
70
80
90
100
110
120
130
140
1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Road traffic Sports Home and leisure Total
Source: SSUV, UVG statistics UNB.G.02
Fatalities in non-occupational accidents, by gender, 2010
231
92
787
7524
947
0 100 200 300 400 500 600 700 800 900
1 000
Road traffic Sports Home and leisure
Male Female
People injured in non-occupational accidents, by gender, 2010
48 210
260 330245 470
38 850
147 640
308 520
0
50 000
100 000
150 000
200 000
250 000
300 000
350 000
Road traffic Sports Home and leisure
Male Female
Source: bfu, revised extrapolation UNB.G.04.2 Source: BFS, stat. on causes of death; bfu, statistics on fatal sports accidents UNB.G.04.1
Distribution of tangible costs, by sector, 2010
43%
16%
41%
Road traffic Sports Home and leisure
Distribution of tangible costs, by accident consequence, 20101
26%
11%
24%
7%
19%
13%
Material damage Disabled Severely injured
Moderately severely injured Slightly injured Fatalities
Source: Economic costs UNB.G.06 Source: Economic costs UNB.G.05
1 Injury severity (definition of 2009): – Slightly injured: not hospitalized – Moderately severely injured: hospitalized for 1 to 6 days – Severely injured: hospitalized for 7 or more days – Disability: permanently partially or fully disabled. Definition according to Art. 8, ATSG (General part of the social insurance law)
People injured and fatalities in road traffic, by travel mode, 2010
Travel mode People injured1 Fatalities Case fatality
People injured per 100 000 inhabitants
Slightly injured
Moderately severely injured
Severely injured
Cars 22 280 2 470 2 110 121 45 345Motorcycles 9 530 2 060 1 250 63 49 165Bicycles 26 620 3 260 1 900 30 9 408Pedestrians 4 790 610 1 360 72 105 87Other 7 210 1 070 540 20 23 113Total 70 430 9 470 7 160 306 35 1 118
Source: bfu, revised extrapolation USV.T.35
bfu–STATUS2013 Non-occupational accidents Age / Gender 11
Age / Gender
Fatalities in non-occupational accidents, by age, 2010
Age Road traffic Sports Home and leisure
Total
Fatalities0–16 16 5 12 3317–25 39 17 19 7526–45 79 28 37 14446–64 78 38 169 28565+ 94 28 1 497 1 619Total 306 116 1 734 2 156
Fatalities per 1m inhabitants0–16 12 4 9 2517–25 46 20 22 8826–45 35 12 16 6346–64 39 19 85 14365+ 72 21 1 144 1 237Total 39 15 223 277
Source: BFS, stat. on causes of death; bfu, stat. on fatal sports acc. UNB.T.09.1
Fatalities in non-occupational accidents, by age and gender, 2010
Age Male Female TotalRoad traffic
0–16 12 4 1617–64 154 42 19665+ 65 29 94Total road traffic 231 75 306
Sports0–16 3 2 517–64 66 17 8365+ 23 5 28Total sports 92 24 116
Home and leisure0–16 9 3 1217–64 162 63 22565+ 616 881 1 497Total home and leisure 787 947 1 734Total 1 110 1 046 2 156
Source: BFS, stat. on causes of death; bfu, stat. on fatal sports acc. UNB.T.06
People injured in non-occupational accidents, by age, 2010
Age Road traffic Sports Home and leisure
Total
People injured0–16 10 560 124 240 142 140 276 94017–25 14 250 85 420 47 020 146 69026–45 28 380 105 160 109 150 242 69046–64 24 270 72 910 137 590 234 77065+ 9 600 20 240 118 090 147 930Total 87 060 407 970 553 990 1 049 020
People injured per 10,000 inhabitants0–16 78 916 1 048 2 04217–25 168 1 007 554 1 72926–45 124 461 478 1 06346–64 122 366 692 1 18065+ 73 155 902 1 130Total 112 524 712 1 348
Source: bfu, extrapolation UNB.T.09.2
People injured and fatalities in non-occupational accidents, by gender, 2010
Gender Road traffic Sports Home and leisure
Total
People injuredMale 48 210 260 330 245 470 554 010Female 38 850 147 640 308 520 495 010Total 87 060 407 970 553 990 1 049 020
People injured per 10,000 inhabitantsMale 126 680 641 1 447Female 98 373 780 1 251Total 112 524 712 1 348
FatalitiesMale 231 92 787 1 110Female 75 24 947 1 046Total 306 116 1 734 2 156
Fatalities per 1m inhabitantsMale 60 24 205 290Female 19 6 239 264Total 39 15 223 277
Source: BFS, stat. on causes of death; bfu, stat. on fatal sports acc., rev. extrap. UNB.T.10
NBU, 10 / 11 / 12
Development of injured persons compulsorily insured (UVG), by sector, 1985–2011
70
80
90
100
110
120
130
140
1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Road traffic Sports Home and leisure Total
Source: SSUV, UVG statistics UNB.G.02
Fatalities in non-occupational accidents, by gender, 2010
231
92
787
7524
947
0 100 200 300 400 500 600 700 800 900
1 000
Road traffic Sports Home and leisure
Male Female
People injured in non-occupational accidents, by gender, 2010
48 210
260 330245 470
38 850
147 640
308 520
0
50 000
100 000
150 000
200 000
250 000
300 000
350 000
Road traffic Sports Home and leisure
Male Female
Source: bfu, revised extrapolation UNB.G.04.2 Source: BFS, stat. on causes of death; bfu, statistics on fatal sports accidents UNB.G.04.1
Distribution of tangible costs, by sector, 2010
43%
16%
41%
Road traffic Sports Home and leisure
Distribution of tangible costs, by accident consequence, 20101
26%
11%
24%
7%
19%
13%
Material damage Disabled Severely injured
Moderately severely injured Slightly injured Fatalities
Source: Economic costs UNB.G.06 Source: Economic costs UNB.G.05
1 Injury severity (definition of 2009): – Slightly injured: not hospitalized – Moderately severely injured: hospitalized for 1 to 6 days – Severely injured: hospitalized for 7 or more days – Disability: permanently partially or fully disabled. Definition according to Art. 8, ATSG (General part of the social insurance law)
NBU, 10 / 11 / 12
Development of injured persons compulsorily insured (UVG), by sector, 1985–2011
70
80
90
100
110
120
130
140
1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Road traffic Sports Home and leisure Total
Source: SSUV, UVG statistics UNB.G.02
Fatalities in non-occupational accidents, by gender, 2010
231
92
787
7524
947
0 100 200 300 400 500 600 700 800 900
1 000
Road traffic Sports Home and leisure
Male Female
People injured in non-occupational accidents, by gender, 2010
48 210
260 330245 470
38 850
147 640
308 520
0
50 000
100 000
150 000
200 000
250 000
300 000
350 000
Road traffic Sports Home and leisure
Male Female
Source: bfu, revised extrapolation UNB.G.04.2 Source: BFS, stat. on causes of death; bfu, statistics on fatal sports accidents UNB.G.04.1
Distribution of tangible costs, by sector, 2010
43%
16%
41%
Road traffic Sports Home and leisure
Distribution of tangible costs, by accident consequence, 20101
26%
11%
24%
7%
19%
13%
Material damage Disabled Severely injured
Moderately severely injured Slightly injured Fatalities
Source: Economic costs UNB.G.06 Source: Economic costs UNB.G.05
1 Injury severity (definition of 2009): – Slightly injured: not hospitalized – Moderately severely injured: hospitalized for 1 to 6 days – Severely injured: hospitalized for 7 or more days – Disability: permanently partially or fully disabled. Definition according to Art. 8, ATSG (General part of the social insurance law)
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12 Non-occupational accidents Socialburden bfu–STATUS2013
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Social burden
Costs of non-occupational accidents, 20091
Sector Material damage
Persons injured4 Fatalities TotalDisabled Severely injured Moderately severely
injuredSlightly injured
Tangible costs of non-occupational accidents (in millions of CHF), 20091
Road traffic 2 8922 417 735 107 286 498 4 935Sports ...3 114 472 351 684 217 1 838Home and leisure ...3 745 1 564 390 1 265 811 4 774Total 2 892 1 276 2 771 848 2 234 1 526 11 547
Total economic burden according to the willingness to pay approach (in millions of CHF), 20091
Road traffic 2 8922 682 4 561 668 2 804 1 071 12 678Sports ...3 307 3 600 2 521 6 372 454 13 253Home and leisure ...3 1 187 10 395 3 390 14 161 1 522 30 656Total 2 892 2 176 18 556 6 579 23 337 3 047 56 5861 Only those injuries are taken into account that required medical attention or insurance benefits. Slight differences are possible in the total in all tables due to rounding up/down.2 Also contains material damage in accidents without any persons injured or fatalities as well as police and consequential legal costs. 3 No basic principles exist to be able to calculate material damage as well as police and consequential legal costs for sports, home and leisure accidents. These costs should amount to less
than CHF 700 million. 4 Injury severity:– Slightly injured: not hospitalized– Moderately severely injured: hospitalized for 1 to 6 days– Severely injured: hospitalized for 7 or more days– Disability: permanently partially or fully disabled. Definition according to Art. 8, ATSG (General part of the social insurance law)
Source: bfu, economic costs UNB.T.07/08
NBU, 10 / 11 / 12
Development of injured persons compulsorily insured (UVG), by sector, 1985–2011
70
80
90
100
110
120
130
140
1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Road traffic Sports Home and leisure Total
Source: SSUV, UVG statistics UNB.G.02
Fatalities in non-occupational accidents, by gender, 2010
231
92
787
7524
947
0 100 200 300 400 500 600 700 800 900
1 000
Road traffic Sports Home and leisure
Male Female
People injured in non-occupational accidents, by gender, 2010
48 210
260 330245 470
38 850
147 640
308 520
0
50 000
100 000
150 000
200 000
250 000
300 000
350 000
Road traffic Sports Home and leisure
Male Female
Source: bfu, revised extrapolation UNB.G.04.2 Source: BFS, stat. on causes of death; bfu, statistics on fatal sports accidents UNB.G.04.1
Distribution of tangible costs, by sector, 2010
43%
16%
41%
Road traffic Sports Home and leisure
Distribution of tangible costs, by accident consequence, 20101
26%
11%
24%
7%
19%
13%
Material damage Disabled Severely injured
Moderately severely injured Slightly injured Fatalities
Source: Economic costs UNB.G.06 Source: Economic costs UNB.G.05
1 Injury severity (definition of 2009): – Slightly injured: not hospitalized – Moderately severely injured: hospitalized for 1 to 6 days – Severely injured: hospitalized for 7 or more days – Disability: permanently partially or fully disabled. Definition according to Art. 8, ATSG (General part of the social insurance law)
NBU, 10 / 11 / 12
Development of injured persons compulsorily insured (UVG), by sector, 1985–2011
70
80
90
100
110
120
130
140
1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Road traffic Sports Home and leisure Total
Source: SSUV, UVG statistics UNB.G.02
Fatalities in non-occupational accidents, by gender, 2010
231
92
787
7524
947
0 100 200 300 400 500 600 700 800 900
1 000
Road traffic Sports Home and leisure
Male Female
People injured in non-occupational accidents, by gender, 2010
48 210
260 330245 470
38 850
147 640
308 520
0
50 000
100 000
150 000
200 000
250 000
300 000
350 000
Road traffic Sports Home and leisure
Male Female
Source: bfu, revised extrapolation UNB.G.04.2 Source: BFS, stat. on causes of death; bfu, statistics on fatal sports accidents UNB.G.04.1
Distribution of tangible costs, by sector, 2010
43%
16%
41%
Road traffic Sports Home and leisure
Distribution of tangible costs, by accident consequence, 20101
26%
11%
24%
7%
19%
13%
Material damage Disabled Severely injured
Moderately severely injured Slightly injured Fatalities
Source: Economic costs UNB.G.06 Source: Economic costs UNB.G.05
1 Injury severity (definition of 2009): – Slightly injured: not hospitalized – Moderately severely injured: hospitalized for 1 to 6 days – Severely injured: hospitalized for 7 or more days – Disability: permanently partially or fully disabled. Definition according to Art. 8, ATSG (General part of the social insurance law)
Road trafficNearly 90,000 people are injured on Swiss roads annually and more than 300 die. Pedestrians and cyclists are particularly at risk in urban areas. The bfu pays special attention to the behaviour of young new drivers as well as to alcohol and excessive speed as the causes of accidents.
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14 Road traffic – Accidents Extrapolationroadtraffic bfu–STATUS2013
Extrapolation road traffic
SV, 14, 15
Persons injured in road traffic by age: comparison bfu extrapolation/FEDRO, unreported cases, 2010
7 077
18 491
20 206
8 964
8 085
2 523
5 779
8 174
5 286
2 475
0 10 000 20 000 30 000 40 000
65+
46–64
26–45
17–25
0–16
No. of injured persons not registered, based on bfu extrapolation
Registered by the police
Persons injured in road traffic by mode of transport: comparison bfu extrapolation/FEDRO, unreported cases, 2010
7 162
4 311
28 615
8 548
14 187
1 658
2 449
3 165
4 292
12 673
0 10 000 20 000 30 000 40 000
No. of injured persons not registered, based on bfu extrapolation
Registered by the police
Distribution of casualties in road traffic, 2012
80%
19%1%
Slightly injured Severely injured Fatalities
Distribution of casualties in road traffic, 1965
47%
49%
4%
Slightly injured Severely injured Fatalities
Source: bfu, revised extrapolation USV.G.17
Source: FEDRO, accidents registered by the police USV.G.03.1
Source: bfu, revised extrapolation USV.G.16
Source: FEDRO, accidents registered by the police USV.G.03.2
Development of casualties in road traffic (indexed), 1965–2012
0
20
40
60
80
100
120
140
160
180
1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.02
SV, 14, 15
Persons injured in road traffic by age: comparison bfu extrapolation/FEDRO, unreported cases, 2010
7 077
18 491
20 206
8 964
8 085
2 523
5 779
8 174
5 286
2 475
0 10 000 20 000 30 000 40 000
65+
46–64
26–45
17–25
0–16
No. of injured persons not registered, based on bfu extrapolation
Registered by the police
Persons injured in road traffic by mode of transport: comparison bfu extrapolation/FEDRO, unreported cases, 2010
7 162
4 311
28 615
8 548
14 187
1 658
2 449
3 165
4 292
12 673
0 10 000 20 000 30 000 40 000
No. of injured persons not registered, based on bfu extrapolation
Registered by the police
Distribution of casualties in road traffic, 2012
80%
19%1%
Slightly injured Severely injured Fatalities
Distribution of casualties in road traffic, 1965
47%
49%
4%
Slightly injured Severely injured Fatalities
Source: bfu, revised extrapolation USV.G.17
Source: FEDRO, accidents registered by the police USV.G.03.1
Source: bfu, revised extrapolation USV.G.16
Source: FEDRO, accidents registered by the police USV.G.03.2
Development of casualties in road traffic (indexed), 1965–2012
0
20
40
60
80
100
120
140
160
180
1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.02
People injured, by road usage (comparison bfu extrapolation/AST-RA), 2010
Road usage Revised bfu extrapolation Road accidents registered by the police
Cars 26 860 12 673Motorcycles 12 840 4 292Bicycles 31 780 3 165Pedestrians 6 760 2 449Other 8 820 1 658Total 87 060 24 237
Source: bfu, rev. extrapol.; ASTRA, acc. reg. by the police USV.T.01.1
People injured, by age (comparison bfu/ASTRA), 2010
Age Revised bfu extrapolation Road accidents registered by the police
0–16 10 560 2 47517–25 14 250 5 28626–45 28 380 8 17446–64 24 270 5 77965+ 9 600 2 523Total 87 060 24 237
Source: bfu, rev. extrapol.; ASTRA, acc. reg. by the police USV.T.01.2
bfu–STATUS2013 Road traffic – Accidents Long-term development 15
Long-term development
Development of road traffic accidents, 1965–2012
Year Accidents People injured Fatalities Case fatality Slightly Severely Total
1965 55 311 14 487 15 051 29 538 1 304 4231970 74 709 17 667 18 314 35 981 1 694 4501975 66 182 15 382 14 569 29 951 1 243 3981980 67 160 17 544 14 782 32 326 1 246 3711985 72 030 17 004 12 823 29 827 908 2951990 79 436 18 061 11 182 29 243 954 3161995 89 098 21 826 6 933 28 759 692 2351996 81 914 20 362 6 177 26 539 616 2271997 79 178 21 120 6 166 27 286 587 2111998 77 945 21 577 6 213 27 790 597 2101999 79 787 23 228 6 299 29 527 583 1942000 75 351 23 867 6 191 30 058 592 1932001 75 304 23 966 6 194 30 160 544 1772002 72 449 23 843 5 931 29 774 513 1692003 70 290 24 236 5 862 30 098 546 1782004 67 680 23 218 5 528 28 746 510 1742005 64 988 21 695 5 059 26 754 409 151
2006 63 358 21 652 5 066 26 718 370 1372007 63 245 21 897 5 235 27 132 384 1402008 61 342 20 776 4 780 25 556 357 1382009 60 625 20 422 4 708 25 130 349 1372010 58 928 19 779 4 458 24 237 327 1332011 54 269 18 805 4 437 23 242 320 1362012 54 171 18 016 4 202 22 218 339 150
Source: FEDRO, accidents registered by the police USV.T.02
SV, 14, 15
Persons injured in road traffic by age: comparison bfu extrapolation/FEDRO, unreported cases, 2010
7 077
18 491
20 206
8 964
8 085
2 523
5 779
8 174
5 286
2 475
0 10 000 20 000 30 000 40 000
65+
46–64
26–45
17–25
0–16
No. of injured persons not registered, based on bfu extrapolation
Registered by the police
Persons injured in road traffic by mode of transport: comparison bfu extrapolation/FEDRO, unreported cases, 2010
7 162
4 311
28 615
8 548
14 187
1 658
2 449
3 165
4 292
12 673
0 10 000 20 000 30 000 40 000
No. of injured persons not registered, based on bfu extrapolation
Registered by the police
Distribution of casualties in road traffic, 2012
80%
19%1%
Slightly injured Severely injured Fatalities
Distribution of casualties in road traffic, 1965
47%
49%
4%
Slightly injured Severely injured Fatalities
Source: bfu, revised extrapolation USV.G.17
Source: FEDRO, accidents registered by the police USV.G.03.1
Source: bfu, revised extrapolation USV.G.16
Source: FEDRO, accidents registered by the police USV.G.03.2
Development of casualties in road traffic (indexed), 1965–2012
0
20
40
60
80
100
120
140
160
180
1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.02
SV, 14, 15
Persons injured in road traffic by age: comparison bfu extrapolation/FEDRO, unreported cases, 2010
7 077
18 491
20 206
8 964
8 085
2 523
5 779
8 174
5 286
2 475
0 10 000 20 000 30 000 40 000
65+
46–64
26–45
17–25
0–16
No. of injured persons not registered, based on bfu extrapolation
Registered by the police
Persons injured in road traffic by mode of transport: comparison bfu extrapolation/FEDRO, unreported cases, 2010
7 162
4 311
28 615
8 548
14 187
1 658
2 449
3 165
4 292
12 673
0 10 000 20 000 30 000 40 000
No. of injured persons not registered, based on bfu extrapolation
Registered by the police
Distribution of casualties in road traffic, 2012
80%
19%1%
Slightly injured Severely injured Fatalities
Distribution of casualties in road traffic, 1965
47%
49%
4%
Slightly injured Severely injured Fatalities
Source: bfu, revised extrapolation USV.G.17
Source: FEDRO, accidents registered by the police USV.G.03.1
Source: bfu, revised extrapolation USV.G.16
Source: FEDRO, accidents registered by the police USV.G.03.2
Development of casualties in road traffic (indexed), 1965–2012
0
20
40
60
80
100
120
140
160
180
1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.02
SV, 14, 15
Persons injured in road traffic by age: comparison bfu extrapolation/FEDRO, unreported cases, 2010
7 077
18 491
20 206
8 964
8 085
2 523
5 779
8 174
5 286
2 475
0 10 000 20 000 30 000 40 000
65+
46–64
26–45
17–25
0–16
No. of injured persons not registered, based on bfu extrapolation
Registered by the police
Persons injured in road traffic by mode of transport: comparison bfu extrapolation/FEDRO, unreported cases, 2010
7 162
4 311
28 615
8 548
14 187
1 658
2 449
3 165
4 292
12 673
0 10 000 20 000 30 000 40 000
No. of injured persons not registered, based on bfu extrapolation
Registered by the police
Distribution of casualties in road traffic, 2012
80%
19%1%
Slightly injured Severely injured Fatalities
Distribution of casualties in road traffic, 1965
47%
49%
4%
Slightly injured Severely injured Fatalities
Source: bfu, revised extrapolation USV.G.17
Source: FEDRO, accidents registered by the police USV.G.03.1
Source: bfu, revised extrapolation USV.G.16
Source: FEDRO, accidents registered by the police USV.G.03.2
Development of casualties in road traffic (indexed), 1965–2012
0
20
40
60
80
100
120
140
160
180
1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.02
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16 Road traffic – Accidents Long-termdevelopment bfu–STATUS2013
Development of personal injuries among car passengers, 1980–2012
Year Slightly injured Severely injured Fatalities1980 9 755 6 189 5951985 8 507 4 732 4101990 10 137 4 668 4691995 13 100 2 807 3352000 14 714 2 431 2732005 12 736 1 721 1782006 12 642 1 721 1562007 12 594 1 641 1622008 11 830 1 599 1562009 11 489 1 402 1362010 11 392 1 281 1292011 10 270 1 210 1192012 10 036 1 100 104
Source: FEDRO, accidents registered by the police USV.T.40
Development of personal injuries among motorcyclists, 1980–2012
Year Slightly injured Severely injured Fatalities1980 2 022 2 186 1391985 2 702 2 492 1251990 2 612 2 072 1601995 2 537 1 234 1062000 3 136 1 364 922005 3 519 1 451 862006 3 451 1 482 692007 3 559 1 599 822008 3 320 1 374 832009 3 371 1 466 782010 2 942 1 350 672011 2 983 1 393 682012 2 799 1 219 74
Source: FEDRO, accidents registered by the police USV.T.41
Development of personal injuries among cyclists, 1980–2012
Year Slightly injured Severely injured Fatalities1980 1 059 1 247 771985 1 430 1 430 601990 1 641 1 400 601995 2 346 1 006 532000 2 284 959 482005 2 322 815 372006 2 381 804 352007 2 488 802 302008 2 412 821 272009 2 434 858 542010 2 344 821 332011 2 409 800 372012 2 193 840 28
Source: FEDRO, accidents registered by the police USV.T.42
Development of personal injuries among cyclists (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries among motorcyclists (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
SV 16 / 17
Development of personal injuries in accidents influenced by speed (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries in accidents influenced by alcohol (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.44 Source: FEDRO, accidents registered by the police USV.G.41
Source: FEDRO, accidents registered by the police USV.G.45
Development of personal injuries among car passengers (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries among pedestrians (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.40 Source: FEDRO, accidents registered by the police USV.G.43
Source: FEDRO, accidents registered by the police USV.G.42
Development of personal injuries among cyclists (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries among motorcyclists (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
SV 16 / 17
Development of personal injuries in accidents influenced by speed (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries in accidents influenced by alcohol (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.44 Source: FEDRO, accidents registered by the police USV.G.41
Source: FEDRO, accidents registered by the police USV.G.45
Development of personal injuries among car passengers (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries among pedestrians (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.40 Source: FEDRO, accidents registered by the police USV.G.43
Source: FEDRO, accidents registered by the police USV.G.42
Development of personal injuries among cyclists (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries among motorcyclists (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
SV 16 / 17
Development of personal injuries in accidents influenced by speed (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries in accidents influenced by alcohol (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.44 Source: FEDRO, accidents registered by the police USV.G.41
Source: FEDRO, accidents registered by the police USV.G.45
Development of personal injuries among car passengers (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries among pedestrians (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.40 Source: FEDRO, accidents registered by the police USV.G.43
Source: FEDRO, accidents registered by the police USV.G.42
bfu–STATUS2013 Road traffic – Accidents Long-term development 17
Development of personal injuries among pedestrians, 1980–2012
Year Slightly injured Severely injured Fatalities1980 1 604 2 474 2621985 1 410 1 804 1911990 1 426 1 662 1721995 1 788 1 153 1262000 1 882 901 1302005 1 647 707 692006 1 721 733 762007 1 690 793 792008 1 717 638 592009 1 756 704 602010 1 743 706 752011 1 691 687 692012 1 616 691 75
Source: FEDRO, accidents registered by the police USV.T.43
Development of personal injuries in accidents influenced by speed, 1980–2012
Year Slightly injured Severely injured Fatalities1980 4 549 4 316 5051985 4 572 3 634 3911990 4 798 3 279 4251995 5 004 1 788 2542000 5 224 1 604 2292005 4629 1248 1782006 4310 1295 1352007 4108 1223 1342008 3960 1109 1472009 3784 1139 1182010 3920 1029 1102011 2923 919 992012 3253 925 89
Source: FEDRO, accidents registered by the police USV.T.44
Development of personal injuries in accidents influnced by alcohol, 1980–2012
Year Slightly injured Severely injured Fatalities1980 1 850 2 033 2661985 1 827 1 793 1661990 1 849 1 564 1581995 1 937 930 1352000 2 303 864 1142005 1 914 655 792006 2 135 737 582007 2 000 742 552008 1 971 647 582009 1 830 638 562010 1 771 568 632011 1 798 597 532012 1 682 531 57
Source: FEDRO, accidents registered by the police USV.T.45
Development of personal injuries among cyclists (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries among motorcyclists (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
SV 16 / 17
Development of personal injuries in accidents influenced by speed (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries in accidents influenced by alcohol (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.44 Source: FEDRO, accidents registered by the police USV.G.41
Source: FEDRO, accidents registered by the police USV.G.45
Development of personal injuries among car passengers (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries among pedestrians (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.40 Source: FEDRO, accidents registered by the police USV.G.43
Source: FEDRO, accidents registered by the police USV.G.42
Development of personal injuries among cyclists (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries among motorcyclists (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
SV 16 / 17
Development of personal injuries in accidents influenced by speed (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries in accidents influenced by alcohol (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.44 Source: FEDRO, accidents registered by the police USV.G.41
Source: FEDRO, accidents registered by the police USV.G.45
Development of personal injuries among car passengers (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries among pedestrians (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.40 Source: FEDRO, accidents registered by the police USV.G.43
Source: FEDRO, accidents registered by the police USV.G.42
Development of personal injuries among cyclists (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries among motorcyclists (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
SV 16 / 17
Development of personal injuries in accidents influenced by speed (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries in accidents influenced by alcohol (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.44 Source: FEDRO, accidents registered by the police USV.G.41
Source: FEDRO, accidents registered by the police USV.G.45
Development of personal injuries among car passengers (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Development of personal injuries among pedestrians (indexed), 1980–2012
0
50
100
150
200
250
1980 1985 1990 1995 2000 2005 2010
Slightly injured Severely injured Fatalities
Source: FEDRO, accidents registered by the police USV.G.40 Source: FEDRO, accidents registered by the police USV.G.43
Source: FEDRO, accidents registered by the police USV.G.42
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18 Road traffic – Accidents Long-termdevelopment bfu–STATUS2013
Development of casualties, by mode of transport, 1980–2012
Year Cars Motorcycles Mopeds E-bikes Bicycles Pedestrians Total (incl. other1)
Slightly injured1980 9 755 2 022 2 409 ... 1 059 1 604 17 5451985 8 507 2 702 2 355 ... 1 430 1 410 17 0041990 10 137 2 612 1 486 ... 1 641 1 426 18 0611995 13 100 2 537 1 234 0 2 346 1 788 21 8262000 14 714 3 136 935 0 2 284 1 882 23 8672005 12 736 3 519 614 0 2 322 1 647 21 6952010 11 392 2 942 440 22 2 344 1 743 19 7792011 10 270 2 983 436 127 2 409 1 691 18 8052012 10 036 2 799 337 166 2 193 1 616 18 016
Severely injured1980 6 189 2 186 2 293 ... 1 247 2 472 14 7821985 4 732 2 492 2 008 ... 1 430 1 804 12 8231990 4 668 2 072 984 ... 1 400 1 662 11 1821995 2 807 1 234 504 0 1 006 1 153 6 9332000 2 431 1 364 305 0 959 901 6 1912005 1 721 1 451 190 0 815 707 5 0592010 1 281 1 350 119 14 821 706 4 4582011 1 210 1 393 105 67 800 687 4 4372012 1 100 1 219 103 78 840 691 4 202
Total number of people injured1980 15 944 4 208 4 702 ... 2 306 4 076 32 3271985 13 239 5 194 4 363 ... 2 860 3 214 29 8271990 14 805 4 684 2 470 ... 3 041 3 088 29 2431995 15 907 3 771 1 738 0 3 352 2 941 28 7592000 17 145 4 500 1 240 0 3 243 2 783 30 0582005 14 457 4 970 804 0 3 137 2 354 26 7542010 12 673 4 292 559 36 3 165 2 449 24 2372011 11 480 4 376 541 194 3 209 2 378 23 2422012 11 136 4 018 440 244 3 033 2 307 22 218
Fatalities1980 595 139 134 ... 77 262 1 2461985 410 125 90 ... 60 191 9081990 469 160 51 ... 60 172 9541995 335 106 29 0 53 126 6922000 273 92 19 0 48 130 5922005 178 86 6 0 37 69 4092010 129 67 4 1 33 75 3272011 119 68 4 2 37 69 3202012 104 74 3 8 28 75 3391 Mainly goods transport vehicles such as delivery vans, trucks, articulated trucks, bus
Source: FEDRO, accidents registered by the police USV.T.03
bfu–STATUS2013 Road traffic – Accidents Pedestrians / Bicycle 19
Pedestrians / Bicycle
Casualties among pedestrians, by age and accident location, 2012
Age People injured Fatali-ties
Case fatality Ø 2008–
2012
Fatalities and severely
injured people per 100,000 inhabitants
Slightly Severely Total
On pedestrian crossings0–6 43 9 52 1 106 1.87–14 140 46 186 0 55 7.215–17 52 11 63 0 55 4.218–24 107 30 137 1 16 4.625–44 167 51 218 2 126 2.445–64 113 57 170 3 193 2.765–74 53 23 76 5 443 3.975+ 52 57 109 8 1 015 10.1Total 727 284 1 011 20 238 3.8
Not on pedestrian crossings0–6 80 35 115 4 279 7.17–14 136 52 188 1 48 8.315–17 51 21 72 2 152 8.818–24 98 41 139 3 223 6.525–44 180 66 246 7 185 3.245–64 178 73 251 11 355 3.865–74 48 40 88 8 460 6.675+ 118 79 197 19 688 15.3Total 889 407 1 296 55 302 5.8Total 1 616 691 2 307 75 275 9.6
Source: FEDRO, accidents registered by the police USV.T.27
Development of casualties among pedestrians on pedestrian crossings, 1980–2012
Year People injured Fatali-ties
Case fatality
Fatalities and severely
injured people per 100,000 inhabitants
Slightly Severely Total
1980 641 929 1 570 69 421 15.81985 478 625 1 103 59 508 10.61990 545 644 1 189 51 411 10.41995 738 451 1 189 48 388 7.12000 818 377 1 195 50 402 6.02001 734 405 1 139 39 331 6.22002 716 367 1 083 37 330 5.62003 738 271 1 009 28 270 4.12004 718 284 1 002 38 365 4.42005 685 301 986 23 228 4.42006 763 305 1 068 21 193 4.42007 769 368 1 137 21 181 5.22008 722 278 1 000 29 282 4.02009 762 290 1 052 25 232 4.12010 694 287 981 20 200 3.92011 677 292 969 28 281 4.12012 727 284 1 011 20 194 3.8
Source: FEDRO, accidents registered by the police USV.T.33
Casualties among cyclists, by age and accident location, 2012
Age People injured Fatali-ties
Case fatality Ø 2008–
2012
Fatalities and severely
injured people per 100,000 inhabitants
Slightly Severely Total
On open roads0–6 9 2 11 0 0 0.47–14 163 40 203 0 37 6.215–17 71 19 90 0 62 7.218–24 106 27 133 0 69 4.025–44 337 159 496 1 64 7.145–64 330 175 505 10 161 8.465–74 72 55 127 5 260 8.375+ 39 30 69 5 716 5.5Total 1 127 507 1 634 21 134 6.6
At junctions0–6 9 1 10 0 0 0.27–14 134 21 155 1 69 3.415–17 78 7 85 0 41 2.718–24 113 28 141 0 53 4.125–44 338 102 440 1 46 4.645–64 287 110 397 3 77 5.165–74 74 43 117 0 164 5.975+ 33 21 54 2 535 3.6Total 1 066 333 1 399 7 86 4.3Total 2 193 840 3 033 28 111 10.9
Source: FEDRO, accidents registered by the police USV.T.28
SV 19 / 20 / 21
Stopping distance at different speeds on dry road surfaces
44
38
34
28
22
16
34
26
19
13
8
5
0 20 40 60 80 100
80
70
60
50
40
30
Stopping distance (m)
Spee
d (k
ph)
Reaction distance Braking distance*
Blood alcohol concentration and the risk of a road accident
1 1 1 1
2
4
7
0
1
2
3
4
5
6
7
8
0 0.2 0.4 0.5 0.6 0.8 1
Rela
tive
risk
of a
ccid
ent
Blood alcohol concentration
Development of severe casualties, by motorcycle category, 1995–2012
0
100
200
300
400
500
600
700
800
900
1000
1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
Over 125 ccs Up to 125 ccs Light motorcycles
Speed and height of fall
Severe casualties among cyclists per 100m kilometres cycled, by age and gender, 2010
0
50
100
150
200
250
300
6–9 10–14 15–17 18–19 20–24 25–29 30–39 40–49 50–59 60–69 70–79 80–89
Male Female
Source: bfu USV.G.12
Source: ARE/BFS, Mobility in Switzerland; FEDRO, acc. registered by the police USV.G.14
Source: FEDRO, accidents registered by the police USV.G.15
* In wet conditions, the braking distance is around 25% longer than on dry roads.
Source: Various studies USV.G.09
Source: bfu USV.G.10
Speed and hight Corresponds to a fall of fall: from the: 80 kph 25.2 m 9th floor 50 kph 9.8 m 3rd floor
30 kph 3.5 m 1st floor
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20 Road traffic – Accidents Car/Motorcycle bfu–STATUS2013
Car / motorcycle
Casualties among motorcyclists, by age and motorcycle category, 2012
Age People injured Fata-lities
Case fatality Ø 2008–
2012
Fatalities and severely injured
people per 100,000
inhabitants
Slightly Severely Total
Up to 125 ccs0–6 0 0 0 0 0 0.07–14 9 2 11 0 152 0.315–17 347 94 441 0 35 35.818–24 324 70 394 3 79 10.825–44 341 116 457 2 49 5.245–64 299 135 434 6 87 6.465–74 34 24 58 2 258 3.675+ 14 5 19 0 583 0.8Total 1 368 446 1 814 13 71 5.8
Over 125 ccs0–6 0 0 0 0 0 0.07–14 9 1 10 0 164 0.215–17 38 10 48 0 59 3.818–24 245 98 343 13 260 16.425–44 585 300 885 19 221 14.245–64 494 330 824 25 272 16.165–74 48 30 78 4 451 4.775+ 12 4 16 0 694 0.6Total 1 431 773 2 204 61 253 10.5Total 2 799 1 219 4 018 74 164 16.3
Injuries and fatalities per 100m kilometres driven 153 67 220 4.0 … …
Source: FEDRO, accidents registered by the police USV.T.30
Casualties among car occupants, by age and type of occupant, 2012
Age People injured Fatali-ties
Case fatality Ø 2008–
2012
Fatalities and severely injured
people per 100,000
inhabitants
Slightly Severely Total
Drivers0–6 1 0 1 0 0 0.07–14 0 0 0 0 0 0.015–17 13 6 19 0 120 2.318–24 1 458 164 1 622 14 91 26.325–44 3 112 279 3 391 20 77 13.345–64 1 976 226 2 202 33 113 11.865–74 387 78 465 7 224 11.775+ 256 60 316 10 403 10.9Total 7 203 813 8 016 84 111 11.3
Passengers0–6 124 5 129 0 39 0.97–14 233 17 250 0 36 2.615–17 205 18 223 4 173 8.418–24 668 97 765 4 85 14.925–44 746 60 806 5 45 2.945–64 560 45 605 4 94 2.265–74 177 17 194 2 130 2.675+ 120 28 148 1 216 4.5Total 2 833 287 3 120 20 85 3.9Total 10 036 1 100 11 136 104 103 15.1
Injuries and fatalities per 100m kilometres driven 19 2 21 0.2 … …
Source: FEDRO, accidents registered by the police USV.T.29
SV 19 / 20 / 21
Stopping distance at different speeds on dry road surfaces
44
38
34
28
22
16
34
26
19
13
8
5
0 20 40 60 80 100
80
70
60
50
40
30
Stopping distance (m)
Spee
d (k
ph)
Reaction distance Braking distance*
Blood alcohol concentration and the risk of a road accident
1 1 1 1
2
4
7
0
1
2
3
4
5
6
7
8
0 0.2 0.4 0.5 0.6 0.8 1
Rela
tive
risk
of a
ccid
ent
Blood alcohol concentration
Development of severe casualties, by motorcycle category, 1995–2012
0
100
200
300
400
500
600
700
800
900
1000
1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
Over 125 ccs Up to 125 ccs Light motorcycles
Speed and height of fall
Severe casualties among cyclists per 100m kilometres cycled, by age and gender, 2010
0
50
100
150
200
250
300
6–9 10–14 15–17 18–19 20–24 25–29 30–39 40–49 50–59 60–69 70–79 80–89
Male Female
Source: bfu USV.G.12
Source: ARE/BFS, Mobility in Switzerland; FEDRO, acc. registered by the police USV.G.14
Source: FEDRO, accidents registered by the police USV.G.15
* In wet conditions, the braking distance is around 25% longer than on dry roads.
Source: Various studies USV.G.09
Source: bfu USV.G.10
Speed and hight Corresponds to a fall of fall: from the: 80 kph 25.2 m 9th floor 50 kph 9.8 m 3rd floor
30 kph 3.5 m 1st floor
SV 19 / 20 / 21
Stopping distance at different speeds on dry road surfaces
44
38
34
28
22
16
34
26
19
13
8
5
0 20 40 60 80 100
80
70
60
50
40
30
Stopping distance (m)
Spee
d (k
ph)
Reaction distance Braking distance*
Blood alcohol concentration and the risk of a road accident
1 1 1 1
2
4
7
0
1
2
3
4
5
6
7
8
0 0.2 0.4 0.5 0.6 0.8 1
Rela
tive
risk
of a
ccid
ent
Blood alcohol concentration
Development of severe casualties, by motorcycle category, 1995–2012
0
100
200
300
400
500
600
700
800
900
1000
1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
Over 125 ccs Up to 125 ccs Light motorcycles
Speed and height of fall
Severe casualties among cyclists per 100m kilometres cycled, by age and gender, 2010
0
50
100
150
200
250
300
6–9 10–14 15–17 18–19 20–24 25–29 30–39 40–49 50–59 60–69 70–79 80–89
Male Female
Source: bfu USV.G.12
Source: ARE/BFS, Mobility in Switzerland; FEDRO, acc. registered by the police USV.G.14
Source: FEDRO, accidents registered by the police USV.G.15
* In wet conditions, the braking distance is around 25% longer than on dry roads.
Source: Various studies USV.G.09
Source: bfu USV.G.10
Speed and hight Corresponds to a fall of fall: from the: 80 kph 25.2 m 9th floor 50 kph 9.8 m 3rd floor
30 kph 3.5 m 1st floor
bfu–STATUS2013 Road traffic – Accidents Accident causes 21
Accident causes
Casualties in accidents influenced by speed – by age and location, 2012
Age People injured Fatali-ties
Case fatality Ø 2008–
2012
Fatalities and severely in-jured people per 100,000 inhabitants
Slightly Severely Total
Urban roads0–6 14 6 20 0 83 1.17–14 62 23 85 0 93 3.615–17 110 29 139 1 64 11.418–24 321 65 386 3 137 10.025–44 321 106 427 5 146 4.945–64 257 80 337 4 158 3.865–74 45 23 68 1 417 3.375+ 30 16 46 6 619 3.4Total 1 160 348 1 508 20 158 4.6
Rural roads0–6 10 2 12 0 247 0.47–14 38 7 45 0 110 1.115–17 86 20 106 4 442 9.118–24 488 111 599 15 233 18.625–44 511 176 687 13 289 8.445–64 297 122 419 18 409 6.465–74 67 28 95 3 434 4.375+ 31 20 51 3 898 3.6Total 1 528 486 2 014 56 319 6.8
Motorways0–6 13 0 13 0 0 07–14 6 1 7 0 0 015–17 14 1 15 0 0 018–24 140 17 157 1 180 325–44 247 42 289 3 144 245–64 120 24 144 8 262 165–74 15 4 19 0 91 175+ 10 2 12 1 370 0Total 565 91 656 13 171 1.3Total 3 253 925 4 178 89 239 12.7
Source: FEDRO, accidents registered by the police USV.T.31
Casualties in accidents influenced by alcohol – by age and day of the week, 2012
Age People injured Fatali-ties
Case fatality Ø 2008–
2012
Fatalities and severely in-jured people per 100,000 inhabitants
Slightly Severely Total
Weekdays (Mon.–Fri.)0–6 8 0 8 0 0 0.07–14 15 4 19 0 182 0.615–17 36 13 49 1 238 5.318–24 156 46 202 6 186 7.725–44 371 114 485 7 186 5.445–64 234 89 323 12 305 4.665–74 48 9 57 1 489 1.475+ 14 11 25 1 657 1.9Total 882 286 1 168 28 245 3.9
Weekends (Sat.–Sun.)0–6 4 0 4 0 0 0.07–14 11 0 11 0 0 0.015–17 39 19 58 3 250 8.418–24 238 70 308 7 177 11.425–44 321 96 417 9 214 4.745–64 155 46 201 6 242 2.465–74 27 10 37 2 395 1.775+ 5 4 9 2 972 0.9Total 800 245 1 045 29 220 3.4Total 1 682 531 2 213 57 233 7.4
Source: FEDRO, accidents registered by the police USV.T.32
SV 19 / 20 / 21
Stopping distance at different speeds on dry road surfaces
44
38
34
28
22
16
34
26
19
13
8
5
0 20 40 60 80 100
80
70
60
50
40
30
Stopping distance (m)
Spee
d (k
ph)
Reaction distance Braking distance*
Blood alcohol concentration and the risk of a road accident
1 1 1 1
2
4
7
0
1
2
3
4
5
6
7
8
0 0.2 0.4 0.5 0.6 0.8 1
Rela
tive
risk
of a
ccid
ent
Blood alcohol concentration
Development of severe casualties, by motorcycle category, 1995–2012
0
100
200
300
400
500
600
700
800
900
1000
1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
Over 125 ccs Up to 125 ccs Light motorcycles
Speed and height of fall
Severe casualties among cyclists per 100m kilometres cycled, by age and gender, 2010
0
50
100
150
200
250
300
6–9 10–14 15–17 18–19 20–24 25–29 30–39 40–49 50–59 60–69 70–79 80–89
Male Female
Source: bfu USV.G.12
Source: ARE/BFS, Mobility in Switzerland; FEDRO, acc. registered by the police USV.G.14
Source: FEDRO, accidents registered by the police USV.G.15
* In wet conditions, the braking distance is around 25% longer than on dry roads.
Source: Various studies USV.G.09
Source: bfu USV.G.10
Speed and hight Corresponds to a fall of fall: from the: 80 kph 25.2 m 9th floor 50 kph 9.8 m 3rd floor
30 kph 3.5 m 1st floor
SV 19 / 20 / 21
Stopping distance at different speeds on dry road surfaces
44
38
34
28
22
16
34
26
19
13
8
5
0 20 40 60 80 100
80
70
60
50
40
30
Stopping distance (m)
Spee
d (k
ph)
Reaction distance Braking distance*
Blood alcohol concentration and the risk of a road accident
1 1 1 1
2
4
7
0
1
2
3
4
5
6
7
8
0 0.2 0.4 0.5 0.6 0.8 1
Rela
tive
risk
of a
ccid
ent
Blood alcohol concentration
Development of severe casualties, by motorcycle category, 1995–2012
0
100
200
300
400
500
600
700
800
900
1000
1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
Over 125 ccs Up to 125 ccs Light motorcycles
Speed and height of fall
Severe casualties among cyclists per 100m kilometres cycled, by age and gender, 2010
0
50
100
150
200
250
300
6–9 10–14 15–17 18–19 20–24 25–29 30–39 40–49 50–59 60–69 70–79 80–89
Male Female
Source: bfu USV.G.12
Source: ARE/BFS, Mobility in Switzerland; FEDRO, acc. registered by the police USV.G.14
Source: FEDRO, accidents registered by the police USV.G.15
* In wet conditions, the braking distance is around 25% longer than on dry roads.
Source: Various studies USV.G.09
Source: bfu USV.G.10
Speed and hight Corresponds to a fall of fall: from the: 80 kph 25.2 m 9th floor 50 kph 9.8 m 3rd floor
30 kph 3.5 m 1st floor
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22 Road traffic – Accidents Age bfu–STATUS2013
Age
Persons injured, by age and travel mode, 2012
Age
Cars
Mot
orcy
cles
Mop
eds
E-bi
kes
Bicy
cles
Pede
stri
ans
Oth
er1
Tota
l
Absolute figures0–4 80 0 1 0 7 81 12 1815–9 142 5 0 1 68 253 9 47810–14 158 16 78 3 304 207 54 82015–17 242 489 157 5 175 135 21 1 22418–19 697 322 18 2 87 92 26 1 24420–24 1 690 415 17 4 187 184 111 2 60825–29 1 236 375 6 8 240 133 97 2 09530–39 1 980 609 19 23 438 229 177 3 47540–49 1 937 806 36 55 541 231 185 3 79150–59 1 370 668 36 50 472 226 171 2 99360–69 855 230 33 45 293 137 76 1 66970–79 497 75 19 31 166 181 52 1 02180+ 252 8 20 17 55 218 49 619Total 11 136 4 018 440 244 3 033 2 307 1 040 22 218
People injured per 100,000 inhabitants0–4 20 0 0 0 2 20 3 455–9 37 1 0 0 18 66 2 12410–14 38 4 19 1 74 50 13 20015–17 92 186 60 2 67 51 8 46618–19 376 174 10 1 47 50 14 67120–24 344 84 3 1 38 37 23 53125–29 234 71 1 2 45 25 18 39730–39 180 55 2 2 40 21 16 31640–49 150 63 3 4 42 18 14 29450–59 127 62 3 5 44 21 16 27760–69 98 26 4 5 34 16 9 19270–79 87 13 3 5 29 32 9 17980+ 66 2 5 4 14 57 13 162Total 140 51 6 3 38 29 13 2791 Mainly goods transport vehicles such as delivery vans, trucks, articulated trucks, bus
Source: FEDRO, accidents registered by the police USV.T.19
Fatalities, by age and travel mode, 2012
Age
Cars
Mot
orcy
cles
Mop
eds
E-bi
kes
Bicy
cles
Pede
stri
ans
Oth
er1
Tota
l
Absolute figures0–4 0 0 0 0 0 4 0 45–9 0 0 0 0 0 1 1 210–14 0 0 0 0 1 1 23 2515–17 4 0 0 0 0 2 0 618–19 8 4 0 0 0 0 0 1220–24 10 12 0 0 0 4 1 2725–29 10 2 0 0 0 2 0 1430–39 9 14 0 0 2 7 4 3640–49 20 14 0 1 3 1 3 4250–59 19 18 0 0 6 10 7 6060–69 9 8 1 2 7 10 2 3970–79 7 2 1 4 6 12 5 3780+ 8 0 1 1 3 21 1 35Total 104 74 3 8 28 75 47 339
Fatalities per 1m inhabitants0–4 0 0 0 0 0 10 0 105–9 0 0 0 0 0 3 3 510–14 0 0 0 0 2 2 56 6115–17 15 0 0 0 0 8 0 2318–19 43 22 0 0 0 0 0 6520–24 20 24 0 0 0 8 2 5525–29 19 4 0 0 0 4 0 2730–39 8 13 0 0 2 6 4 3340–49 16 11 0 1 2 1 2 3350–59 18 17 0 0 6 9 6 5560–69 10 9 1 2 8 12 2 4570–79 12 3 2 7 10 21 9 6580+ 21 0 3 3 8 55 3 92Total 13 9 0 1 4 9 6 431 Mainly goods transport vehicles such as delivery vans, trucks, articulated trucks, bus
Source: FEDRO, accidents registered by the police USV.T.20
bfu–STATUS2013 Road traffic – Accidents Age 23
Development of casualties among children (aged 0–14), 1980–2012
Year Children injured Fatalities Case fata-lity rateSlightly Severely Total
1980 1 428 1 670 3 098 78 2461985 1 256 1 169 2 425 54 2181990 1 289 980 2 269 48 2071991 1 297 892 2 189 56 2491992 1 804 709 2 513 36 1411993 1 812 730 2 542 44 1701994 1 989 665 2 654 46 1701995 1 993 705 2 698 39 1421996 1 836 605 2 441 36 1451997 1 914 606 2 520 31 1221998 1 887 550 2 437 42 1691999 1 943 587 2 530 42 1632000 2 048 541 2 589 28 1072001 1 848 524 2 372 22 922002 1 826 479 2 305 21 902003 1 817 453 2 270 23 1002004 1 710 418 2 128 23 1072005 1 584 343 1 927 14 722006 1 605 326 1 931 16 822007 1 559 310 1 869 14 742008 1 437 274 1 711 10 582009 1 424 309 1 733 21 1202010 1 371 262 1 633 8 492011 1 288 257 1 545 10 642012 1 200 279 1 479 31 205
Source: FEDRO, accidents registered by the police USV.T.09
Casualties among children (aged 0–14), by mode of transport, 2012
Travel mode Children injured Fatalities Case fatality rate
Ø 2008–2012Slightly Severely Total
Active participants (riders/drivers/pedestrians)Mopeds 58 18 76 0 51Bicycles 306 64 370 1 49Pedestrians 399 142 541 6 103Other1 7 4 11 1 279Total active participants
770 228 998 8 84
Passive participants (passengers)Cars 357 22 379 0 37Other2 73 29 102 23 580Total passive participants
430 51 481 23 128
Total 1 200 279 1 479 31 981 Mainly cars, goods transport vehicles such as delivery vans, trucks, articulated trucks,
bus and motorcycles2 Mainly goods transport vehicles such as delivery vans, trucks, articulated trucks, bus and
motorcycles
Source: FEDRO, accidents registered by the police USV.T.10
Casualties among young adults (aged 18–24), by travel mode, 2012
Travel mode Young people injured Fatalities Case fatality rate
Ø 2008–2012Slightly Severely Total
Active participants (riders/drivers/pedestrians)Cars 1 458 164 1 622 14 91Motorcycles 531 156 687 14 155Mopeds 24 10 34 0 43Bicycles 219 55 274 0 61Pedestrians 205 71 276 4 130Other1 70 20 90 1 127Total active participants
2 507 476 2 983 33 107
Passive participants (passengers)Cars 668 97 765 4 85Motorcycles 38 12 50 2 143Other1 49 5 54 0 132Total passive participants
755 114 869 6 91
Total 3 262 590 3 852 39 1031 Mainly goods transport vehicles such as delivery vans, trucks, articulated trucks, bus
Source: FEDRO, accidents registered by the police USV.T.12
Development of casualties among young adults (aged 18–24), 1980–2012
Year Young people injured Fatalities Case fata-lity rateSlightly Severely Total
1980 5 048 4 267 9 315 290 3021985 5 390 3 910 9 300 219 2301990 5 050 2 967 8 017 221 2681991 4 954 2 558 7 512 193 2501992 5 307 1 856 7 163 179 2441993 4 932 1 501 6 433 152 2311994 4 978 1 398 6 376 120 1851995 4 516 1 295 5 811 132 2221996 4 092 1 098 5 190 118 2221997 4 147 1 135 5 282 102 1891998 4 253 1 108 5 361 97 1781999 4 575 1 110 5 685 89 1542000 4 794 1 111 5 905 91 1522001 4 801 1 129 5 930 88 1462002 4 922 1 038 5 960 104 1722003 4 886 1 024 5 910 107 1782004 4 622 996 5 618 109 1902005 4 338 858 5 196 77 1462006 4 170 879 5 049 62 1212007 4 191 834 5 025 61 1202008 3 997 777 4 774 44 912009 3 815 760 4 575 64 1382010 3 566 631 4 197 36 852011 3 406 617 4 023 41 1012012 3 262 590 3 852 39 100
Source: FEDRO, accidents registered by the police USV.T.11
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24 Road traffic – Accidents Age bfu–STATUS2013
Casualties among senior citizens (aged 65+), by travel mode, 2012
Travel mode Senior citizens injured Fata-lities
Case fatality rate
Ø 2008–2012Slightly Severely Total
Active participants (riders/drivers/pedestrians)Cars 643 138 781 17 297Motorcycles 106 61 167 6 411Mopeds 41 18 59 3 392E-bikes 47 22 69 6 682Bicycles 218 149 367 12 359Pedestrians 271 199 470 40 677Other1 20 10 30 4 1 137Total active participants
1 346 597 1 943 88 440
Passive participants (passengers)Cars 297 45 342 3 169Other1 86 18 104 2 212Total passive participants
383 63 446 5 178
Total 1 729 660 2 389 93 3921 Mainly goods transport vehicles such as delivery vans, trucks, articulated trucks, bus
Source: FEDRO, accidents registered by the police USV.T.14
Development of casualties among senior citizens (aged 65+), 1980–2012
Year Senior citizens injured Fatalities Case fata-lity rateSlightly Severely Total
1980 1 310 1 494 2 804 302 9721985 1 164 1 300 2 464 207 7751990 1 309 1 249 2 558 204 7391991 1 442 1 131 2 573 199 7181992 1 616 932 2 548 190 6941993 1 749 945 2 694 168 5871994 1 866 837 2 703 184 6371995 1 754 829 2 583 165 6001996 1 718 801 2 519 158 5901997 1 737 800 2 537 137 5121998 1 762 775 2 537 150 5581999 1 791 726 2 517 133 5022000 1 822 718 2 540 161 5962001 1 930 753 2 683 127 4522002 1 847 700 2 547 106 4002003 1 844 646 2 490 125 4782004 1 866 659 2 525 122 4612005 1 715 595 2 310 108 4472006 1 868 587 2 455 101 3952007 1 823 701 2 524 117 4432008 1 724 641 2 365 100 4062009 1 877 618 2 495 88 3412010 1 839 684 2 523 101 3852011 1 791 701 2 492 118 4522012 1 729 660 2 389 93 375
Source: FEDRO, accidents registered by the police USV.T.13
bfu–STATUS2013 Road traffic – Accidents Location 25
Location
Casualties, by type of road and location, 2012
Type of road People injured Fatali-ties
Case fatality Ø 2008–
2012Slightly Severely Total
Urban RoadsMain road 6 319 1 216 7 535 61 78Side road 4 237 1 187 5 424 59 91Other road 336 128 464 5 165Total on urban roads
10 892 2 531 13 423 125 86
Rural RoadsDual carriage-way 176 46 222 10 458Main road 3 211 821 4 032 93 228Side road 1 285 467 1 752 47 301Other road 74 46 120 1 305Total on rural roads
4 746 1 380 6 126 151 259
Motorways Total on motorways
2 378 291 2 669 63 129
Total all locationsMotorway 2 378 291 2 669 63 129Dual carriage-way 176 46 222 10 458Main road 9 530 2 037 11 567 154 131Side road 5 522 1 654 7 176 106 139Other road 410 174 584 6 195Total for locations
18 016 4 202 22 218 339 139
Source: FEDRO, accidents registered by the police USV.T.22
Casualties, by type of accident and location, 2012
Type of accident People injured Fata-lities
Case fatality Ø 2008–
2012Slightly Severely Total
Urban roadsPedestrian accident 1 543 605 2 148 53 201Skid/single-vehicle collision
2 208 767 2 975 37 140
Head-on collision 436 98 534 6 87Overtaking accident, changing lanes
331 94 425 4 81
Rear-end collision 2 708 179 2 887 3 9Accident when turning
2 618 545 3 163 15 41
Crossing accident 761 154 915 3 47Accident involving an animal
19 11 30 0 0
Other accident 268 78 346 4 181Total on urban roads
10 892 2 531 13 423 125 86
Rural roadsPedestrian accident 64 40 104 13 959Skid/single-vehicle collision
1 840 715 2 555 77 305
Head-on collision 482 134 616 23 401Overtaking accident, changing lanes
245 91 336 15 308
Rear-end collision 946 110 1 056 4 41Accident when turning
883 202 1 085 9 135
Crossing accident 211 56 267 6 221Accident involving an animal
51 16 67 1 173
Other accident 24 16 40 3 885Total on rural roads
4 746 1 380 6 126 151 259
Motorways Skid/single-vehicle collision
821 165 986 46 203
Head-on collision 8 5 13 3 673Overtaking accident, changing lanes
224 19 243 2 52
Rear-end collision 1 308 99 1 407 8 49Other accident 17 3 20 4 1 064Total on motorways
2 378 291 2 669 63 129
Source: FEDRO, accidents registered by the police USV.T.21
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26 Road traffic – Accidents Location bfu–STATUS2013
Casualties, by travel mode and location, 2012
Travel mode People injured Fata-lities
Case fatality rate
Ø 2008–2012Slightly Severely Total
Urban roadsCars 4 686 346 5 032 19 50Motorcycles 1 880 691 2 571 15 57Mopeds 270 77 347 3 74E-bikes 137 60 197 7 229Bicycles 1 889 643 2 532 18 84Pedestrians 1 546 642 2 188 57 216Other1 484 72 556 6 79Total on urban roads
10 892 2 531 13 423 125 86
Rural roadsCars 3 204 566 3 770 62 193Motorcycles 828 476 1 304 56 369Mopeds 67 26 93 0 184E-bikes 29 18 47 1 217Bicycles 303 197 500 10 250Pedestrians 68 45 113 13 976Other1 247 52 299 9 369Total on rural roads
4 746 1 380 6 126 151 259
MotorwaysCars 2 146 188 2 334 23 76Motorcycles 91 52 143 3 354Mopeds 0 0 0 0 0Bicycles 1 0 1 0 0Pedestrians 2 4 6 5 3 281Other1 138 47 185 32 467Total on motorways
2 378 291 2 669 63 129
All locationsCars 10 036 1 100 11 136 104 103Motorcycles 2 799 1 219 4 018 74 164Mopeds 337 103 440 3 94E-bikes 166 78 244 8 227Bicycles 2 193 840 3 033 28 111Pedestrians 1 616 691 2 307 75 275Other1 869 171 1 040 47 227Total for locations
18 016 4 202 22 218 339 139
1 Mainly goods transport vehicles such as delivery vans, trucks, articulated trucks, bus
Source: FEDRO, accidents registered by the police USV.T.23
SV, 26 / 29
Development of seatbelt-wearing rates among car drivers, front-seat and rear-seat passengers, 1991–2013
0%
20%
40%
60%
80%
100%
1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013
Car drivers Front-seat passengers Rear-seat passengers
Development of helmet-wearing rates among motorised cyclists, 1998–2013
0%
20%
40%
60%
80%
100%
1998 2000 2002 2004 2006 2008 2010 2012
Mopeds Motorcycles
Case fatality, by location, Ø 2008–2012
86
259
129
0
50
100
150
200
250
300
Urban roads Rural roads Motorways
Persons injured, by location, 2012
13 423
6 126
2 669
0
2 000
4 000
6 000
8 000
10 000
12 000
14 000
Urban roads Rural roads Motorways
Source: bfu, surveys VSV.G.04
Source: FEDRO, accidents registered by the police USV.G.11.2 Source: FEDRO, accidents registered by the police USV.G.11.1
Source: bfu, surveys VSV.G.07
People recorded in vehicles (sample) 2013: Car drivers 29,716, front-seat passengers 14,580, rear-seat passengers 2,128 People recorded (sample) 2013: 2241
SV, 26 / 29
Development of seatbelt-wearing rates among car drivers, front-seat and rear-seat passengers, 1991–2013
0%
20%
40%
60%
80%
100%
1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013
Car drivers Front-seat passengers Rear-seat passengers
Development of helmet-wearing rates among motorised cyclists, 1998–2013
0%
20%
40%
60%
80%
100%
1998 2000 2002 2004 2006 2008 2010 2012
Mopeds Motorcycles
Case fatality, by location, Ø 2008–2012
86
259
129
0
50
100
150
200
250
300
Urban roads Rural roads Motorways
Persons injured, by location, 2012
13 423
6 126
2 669
0
2 000
4 000
6 000
8 000
10 000
12 000
14 000
Urban roads Rural roads Motorways
Source: bfu, surveys VSV.G.04
Source: FEDRO, accidents registered by the police USV.G.11.2 Source: FEDRO, accidents registered by the police USV.G.11.1
Source: bfu, surveys VSV.G.07
People recorded in vehicles (sample) 2013: Car drivers 29,716, front-seat passengers 14,580, rear-seat passengers 2,128 People recorded (sample) 2013: 2241
bfu–STATUS2013 Road traffic – Accidents Exposure / Risk 27
Exposure / Risk
Development of kilometres driven in millions of kilometres, by type of vehicle, 1970–2012
Year Cars GTVs1 Motorcycles Mopeds1970 23 387 2 991 707 1 8251975 27 744 2 944 548 2 3031980 32 071 3 768 684 2 3501985 36 468 4 297 959 1 7251990 42 649 4 592 1 163 8621995 41 324 4 853 1 209 3542000 45 613 5 251 1 463 2372005 48 040 5 420 1 654 1312010 50 949 5 871 1 720 1322011 51 575 6 063 1 759 1352012 52 0162 6 1362 1 8282 1362
1 Delivery vans, trucks, articulated trucks2 bfu estimate
Source: BFS, kilometres driven by private motorized vehicles USV.T.05
Development of casualties per 100m kilometres driven, by type of vehicle, 1970–2012
Year People injured FatalitiesCars GTVs1 Motorcycles Mopeds Cars GTVs1 Motorcycles Mopeds
1970 75 … 543 247 2.9 ... 23.3 7.81975 52 … 609 195 1.8 ... 26.1 5.81980 50 19 615 200 1.9 0.5 20.3 5.71985 36 14 542 253 1.1 0.3 13.0 5.21990 35 17 403 287 1.1 0.4 13.8 5.91995 38 13 312 491 0.8 0.4 8.8 8.22000 38 14 308 523 0.6 0.3 6.3 8.02005 30 11 300 614 0.4 0.2 5.2 4.62010 25 9 250 423 0.3 0.1 3.9 3.02011 22 9 249 401 0.2 0.1 3.9 3.02012 21 9 220 324 0.2 0.1 4.0 2.21 Delivery vans, trucks, articulated trucks
Source: FEDRO, accidents registered by the police; BFS, kilometres driven by private motorized vehicles USV.T.06
Development of casualties per 100m kilometres driven, by location, 1970–2012
Year People injured FatalitiesUrban roads Rural roads Motorways Total Urban roads Rural roads Motorways Total
1970 206 83 25 124 6.6 6.1 1.1 5.81975 144 68 16 88 3.9 4.6 0.6 3.71980 135 71 14 83 3.5 4.2 0.8 3.21985 118 61 13 68 2.3 3.0 0.5 2.11990 104 55 15 59 2.1 3.0 0.5 1.91995 109 52 19 60 1.5 2.2 0.6 1.42000 107 47 19 57 1.3 1.8 0.2 1.12005 96 41 13 48 0.8 1.3 0.1 0.72010 81 34 13 41 0.6 0.9 0.2 0.62011 78 32 11 39 0.7 0.9 0.1 0.52012 72 30 12 37 0.7 0.8 0.1 0.5
Source: FEDRO, accidents registered by the police; BFS, kilometres driven on roads by private motorized vehicles USV.T.08
Development of kilometres driven in millions of kilometres, by location1, 1970–2012
Year Urban roads Rural roads Motorways Total1970 10 853 15 501 2 743 29 0971975 12 935 15 366 5 644 33 9451980 14 996 15 303 8 817 39 1161985 15 886 15 678 12 177 43 7411990 16 675 17 372 15 558 49 6041995 15 750 16 733 15 616 48 0982000 16 926 18 228 17 764 52 9192005 17 121 18 617 19 895 55 6342010 18 164 19 766 21 160 59 0902011 18 421 20 055 21 487 59 9632012 18 600 20 254 21 694 60 5481 bfu estimate
Source: BFS, kilometres driven on roads by private motorized vehicles USV.T.07
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28 Road traffic – Accidents Internationalcomparison bfu–STATUS2013
International comparison
Fatalities in road traffic in an international comparison, by year of accident and travel mode, 1980–2011
Country Fatalities total (absolute)1 Fatalities per 1m inhabitants1 Fatalities per 1m inhabitants, by travel mode, 20111,2
1980 1990 2000 2011 1980 1990 2000 2011 Cars Motor-cycles
Bicycles Pedes-trians
Other
A 2 003 1 558 976 523 265 203 120 62 35 8 5 10 4AUS 3 274 2 331 1 824 1 277 223 136 95 57 38 … 2 8 …B 2 369 1 976 1 470 858 243 199 144 78 42 12 6 10 9CDN 5 461 3 960 2 927 2 2072 227 149 95 652 31 6 1 9 18CH 1 209 925 592 320 192 139 83 41 15 9 5 9 3CZ 1 261 1 291 1 486 773 122 125 145 73 38 8 6 17 5D 15 050 11 046 7 503 4 009 193 140 91 49 24 9 5 8 4DK 690 634 498 220 135 123 93 40 20 4 5 6 4E 6 522 9 032 5 776 2 060 176 232 146 45 21 8 1 8 7F 13 672 11 215 8 079 3 963 254 199 136 61 32 12 2 8 7FIN 551 649 396 292 115 130 77 54 32 5 4 8 6GB 6 010 5 217 3 409 1 901 110 93 59 31 14 6 2 7 2GR 1 446 2 050 2 037 1 141 150 202 193 101 … 27 1 20 …H 1 630 2 432 1 200 638 152 234 120 64 27 5 9 12 11I 9 220 7 151 6 410 3 860 164 124 111 64 27 15 5 10 7IRL 564 478 415 186 166 136 110 42 21 … … … …IS 25 24 32 12 110 94 113 38 22 0 0 13 3ISR … … … 341 … … … 44 … 5 2 15 …J 11 388 14 595 10 403 5 450 97 118 82 43 8 5 7 15 8KOR 6 449 14 174 10 236 5 229 172 334 218 105 24 12 6 41 23L 98 70 76 33 270 185 175 65 41 6 4 12 2N 362 332 341 168 89 78 76 34 20 3 2 4 6NIRL 229 185 171 59 149 116 101 33 19 3 1 7 2NL 1 996 1 376 1 082 546 142 92 68 33 13 3 9 4 5NZ 597 729 462 284 189 215 121 65 45 7 2 7 3P 2 579 2 646 1 860 891 277 283 181 84 31 11 4 19 19PL 6 002 7 333 6 294 4 189 168 192 163 110 50 8 8 37 7S 848 772 591 319 102 91 67 34 17 5 2 6 4SLO 558 517 314 141 292 259 158 69 34 14 7 10 4USA 51 091 44 529 41 821 32 8852 225 179 152 1072 40 15 2 14 36A Austria FIN Finland L Luxembourg
AUS Australia GB Great Britain N Norway
B Belgien GR Greece NIRL Northern Ireland
CDN Canada H Hungary NL Netherlands
CH Switzerland I Italy NZ New Zealand
CZ Czech Republic IRL Ireland P Portugal
D Germany IS Island PL Poland
DK Denmark ISR Israel S Sweden
E Spain J Japan SLO Slovenia
F France KOR Korea USA United States of America
1 Died within 30 days of the accident2 2009: Canada, 2010: USA
Source: IRTAD, registered road traffic accidents USV.T.24/25
bfu–STATUS2013 Road traffic – Behaviour and attitudes Safety indicators 29
Safety indicators
Development of seatbelt-wearing rates among car drivers, by location and region, in percent, 1980–2013
Year German-speaking Switzerland
French-speaking Switzerland
Ticino Total
Urban roads1980 28 7 11 231990 64 34 44 532000 73 48 37 662005 79 64 44 742010 86 76 66 832011 88 77 70 852012 92 79 72 902013 89 85 69 88
Rural roads1980 40 24 12 351990 77 55 55 712000 80 70 50 762005 86 78 50 822010 91 81 78 882011 92 82 75 892012 94 88 79 932013 94 88 80 93
Motorways1980 59 33 40 521990 83 72 75 802000 90 89 78 892005 91 88 70 902010 94 93 86 932011 93 89 92 922012 96 92 92 952013 98 97 94 97
All locations1980 40 20 19 351990 74 52 56 672000 81 69 55 772005 85 77 55 822010 90 83 77 882011 91 83 79 892012 93 86 81 922013 92 89 81 92Seatbelt wearing compulsory since 01.07.1981People recorded in vehicles (sample) 2013: 29 716
Source: bfu, surveys VSV.T.01
Seatbelt wearing rates among front-seat passengers in cars, by location and region, in percent, 2013
Region Urban roads Rural roads Motorways TotalGerman-speaking Switzerland
88 91 96 91
French-speaking Switzerland
85 90 97 90
Ticino 71 72 79 74Total 87 91 96 91Seatbelt wearing compulsory since 01.07.1981Persons recorded in vehicles (sample) 2013: 14 580
Source: bfu, surveys VSV.T.10.2
Development of seatbelt-wearing rates among front-seat car passengers, by location, in percent, 2006–2013
Year Urban roads Rural roads Motorways Total2006 80 86 90 852007 80 88 87 852008 83 90 92 892009 82 91 91 882010 83 91 93 892011 82 90 92 882012 89 94 95 922013 87 91 96 91Seatbelt wearing compulsory since 01.07.1981People recorded in vehicles (sample) 2013: 14 580
Source: bfu, surveys VSV.T.10.1
Development of seatbelt-wearing rates among car drivers, front-seat and rear-seat passengers, in percent, 1995–2013
Year Car drivers Front-seat passengers
Rear-seat passengers
1995 69 ... 322000 77 ... 322005 82 ... 532008 88 89 652009 87 88 682010 88 89 742011 89 88 792012 92 92 772013 92 91 72Seatbelt wearing compulsory: For drivers and front-seat passengers since 01.07.1981, for rear-seat passengers since 01.10.1994
People recorded in vehicles (random sample) 2013: Car drivers 29 716, front-seat passen-gers 14 580, rear-seat passengers 2128
Source: bfu, surveys VSV.T.11
SV, 26 / 29
Development of seatbelt-wearing rates among car drivers, front-seat and rear-seat passengers, 1991–2013
0%
20%
40%
60%
80%
100%
1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013
Car drivers Front-seat passengers Rear-seat passengers
Development of helmet-wearing rates among motorised cyclists, 1998–2013
0%
20%
40%
60%
80%
100%
1998 2000 2002 2004 2006 2008 2010 2012
Mopeds Motorcycles
Case fatality, by location, Ø 2008–2012
86
259
129
0
50
100
150
200
250
300
Urban roads Rural roads Motorways
Persons injured, by location, 2012
13 423
6 126
2 669
0
2 000
4 000
6 000
8 000
10 000
12 000
14 000
Urban roads Rural roads Motorways
Source: bfu, surveys VSV.G.04
Source: FEDRO, accidents registered by the police USV.G.11.2 Source: FEDRO, accidents registered by the police USV.G.11.1
Source: bfu, surveys VSV.G.07
People recorded in vehicles (sample) 2013: Car drivers 29,716, front-seat passengers 14,580, rear-seat passengers 2,128 People recorded (sample) 2013: 2241
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30 Road traffic – Behaviour and attitudes Safety indicators bfu–STATUS2013
Development of helmet-wearing rates among cyclists in road traffic, by age, in percent, 1998–20131
Year 0–14 15–29 34–44 45–59 60+ Total1998 30 9 13 10 6 142000 32 15 18 17 17 202005 49 27 40 30 23 342006 56 30 43 42 24 392007 53 31 41 36 34 382008 50 32 42 39 35 382009 70 30 43 36 34 382010 69 25 35 38 33 372011 67 25 46 39 30 402012 68 26 46 46 37 432013 63 25 55 46 46 461 There are little differences in the so far published helmet wearing rates because e-bikes
are retroactively excluded until 2010.
People recorded (sample) 2013: 6384
Source: bfu, surveys VSV.T.04.1
Helmet wearing rates among cyclists in road traffic, by age and region, in percent, 2013
Region 0–14 15–29 34–44 45–59 60+ TotalGerman-speaking Switzerland
65 24 54 45 46 46
French-speaking Switzerland
40 33 61 55 44 48
Ticino 45 40 69 64 33 57Total 63 25 55 46 46 46Persons recorded (sample) 2013: 6384
Source: bfu, surveys VSV.T.04.2
Development of helmet-wearing rates among cyclists in road traffic, by travel purpose, in percent, 1998–20131
Year Work School Shopping Leisure Total1998 12 10 9 17 142000 11 15 9 26 202005 25 28 16 43 342006 23 30 17 51 392007 25 26 17 50 382008 29 29 15 48 382009 29 28 17 48 382010 25 35 16 46 372011 30 35 21 48 402012 27 37 19 49 432013 30 32 14 54 461 There are little differences in the so far published helmet wearing rates because e-bikes
are retroactively excluded until 2010.
People recorded (sample) 2013: 6384
Source: bfu, surveys VSV.T.09.1
Helmet wearing rates among cyclists in road traffic, by travel purpose and region, in percent, 2013
Region School Work Shopping Leisure Total
German-speaking Switzerland
31 34 13 53 46
French-speaking Switzerland
25 10 18 57 48
Ticino 10 13 20 72 57Total 30 32 14 54 46Persons recorded (sample) 2013: 6384
Source: bfu, surveys VSV.T.09.2
Development of rates for car daytime running lights in fine weather1, by region, 2001–2013
0%
10%
20%
30%
40%
50%
60%
70%
80%
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
German-speaking Switzerland French-speaking SwitzerlandTicino Total
Development of helmet-wearing rates among cyclists, by travel pur-pose, 1998–2013
0%
10%
20%
30%
40%
50%
60%
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
Work School Shopping Leisure Total
SV, 30 / 31 / 32
Average speed (Vm) and speed complied with by 85 % of drivers (V85), by location, 2010
44
76
108
50
84
121
0
20
40
60
80
100
120
140
Urban roads Rural roads Motorways
Vm V85
Development of helmet-wearing rates among cyclists, by age, 1998–2013
0%
10%
20%
30%
40%
50%
60%
70%
80%
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
0–14 15–29 30–44 45–59 60+
Source: IVT at the ETH Zurich, speed measurements VSV.G.05
Source: bfu, surveys VSV.G.03 Source: bfu, surveys VSV.G.06
1 Bright and sunny or slightly overcast People recorded (sample) 2013: 31 625 People recorded (sample) 2013: 6384
Source: bfu, surveys VSV.G.08
People recorded (sample) 2013: 6384
Development of rates for car daytime running lights in fine weather1, by region, 2001–2013
0%
10%
20%
30%
40%
50%
60%
70%
80%
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
German-speaking Switzerland French-speaking SwitzerlandTicino Total
Development of helmet-wearing rates among cyclists, by travel pur-pose, 1998–2013
0%
10%
20%
30%
40%
50%
60%
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
Work School Shopping Leisure Total
SV, 30 / 31 / 32
Average speed (Vm) and speed complied with by 85 % of drivers (V85), by location, 2010
44
76
108
50
84
121
0
20
40
60
80
100
120
140
Urban roads Rural roads Motorways
Vm V85
Development of helmet-wearing rates among cyclists, by age, 1998–2013
0%
10%
20%
30%
40%
50%
60%
70%
80%
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
0–14 15–29 30–44 45–59 60+
Source: IVT at the ETH Zurich, speed measurements VSV.G.05
Source: bfu, surveys VSV.G.03 Source: bfu, surveys VSV.G.06
1 Bright and sunny or slightly overcast People recorded (sample) 2013: 31 625 People recorded (sample) 2013: 6384
Source: bfu, surveys VSV.G.08
People recorded (sample) 2013: 6384
Daytime running lights, rates for cars in fine weather1, by region and location, in percent, 2013
Cars Trucks/buses
Motor-cycles
Total
RegionGerman-speaking Switzerland 70 84 96 70French-speaking Switzerland 52 58 94 52Ticino 67 91 99 68
LocationIn built-up areas 64 85 96 64Outside built-up areas 69 80 96 69Motorways 76 78 95 76Total 68 81 96 681 Bright and sunny or slightly overcastMotor vehicles recorded 2013: 31 625
Source: bfu, surveys VSV.T.08
bfu–STATUS2013 Road traffic – Behaviour and attitudes Safety indicators 31
Development of helmet-wearing rates among motorised cyclists, in percent, 1998–2013
Year Mopeds Motorcycles1998 89 992000 73 982005 94 992006 92 1002007 85 992008 82 992009 86 1002010 89 1002011 91 1002012 96 1002013 94 100People recorded (sample) 2013: 2241
Source: bfu, surveys VSV.T.03.1
Helmet wearing rates among riders of motorized two-wheeled vehicles, by region, in percent, 2013
Region Mopeds MotorcyclesGerman-speaking Switzerland
95 100
French-speaking Switzerland
86 99
Ticino 100 100Total 94 100Persons recorded (sample) 2013: 2241
Source: bfu, surveys VSV.T.03.2
SV, 26 / 29
Development of seatbelt-wearing rates among car drivers, front-seat and rear-seat passengers, 1991–2013
0%
20%
40%
60%
80%
100%
1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013
Car drivers Front-seat passengers Rear-seat passengers
Development of helmet-wearing rates among motorised cyclists, 1998–2013
0%
20%
40%
60%
80%
100%
1998 2000 2002 2004 2006 2008 2010 2012
Mopeds Motorcycles
Case fatality, by location, Ø 2008–2012
86
259
129
0
50
100
150
200
250
300
Urban roads Rural roads Motorways
Persons injured, by location, 2012
13 423
6 126
2 669
0
2 000
4 000
6 000
8 000
10 000
12 000
14 000
Urban roads Rural roads Motorways
Source: bfu, surveys VSV.G.04
Source: FEDRO, accidents registered by the police USV.G.11.2 Source: FEDRO, accidents registered by the police USV.G.11.1
Source: bfu, surveys VSV.G.07
People recorded in vehicles (sample) 2013: Car drivers 29,716, front-seat passengers 14,580, rear-seat passengers 2,128 People recorded (sample) 2013: 2241
Development of rates for car daytime running lights in fine weather1, by region, 2001–2013
0%
10%
20%
30%
40%
50%
60%
70%
80%
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
German-speaking Switzerland French-speaking SwitzerlandTicino Total
Development of helmet-wearing rates among cyclists, by travel pur-pose, 1998–2013
0%
10%
20%
30%
40%
50%
60%
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
Work School Shopping Leisure Total
SV, 30 / 31 / 32
Average speed (Vm) and speed complied with by 85 % of drivers (V85), by location, 2010
44
76
108
50
84
121
0
20
40
60
80
100
120
140
Urban roads Rural roads Motorways
Vm V85
Development of helmet-wearing rates among cyclists, by age, 1998–2013
0%
10%
20%
30%
40%
50%
60%
70%
80%
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
0–14 15–29 30–44 45–59 60+
Source: IVT at the ETH Zurich, speed measurements VSV.G.05
Source: bfu, surveys VSV.G.03 Source: bfu, surveys VSV.G.06
1 Bright and sunny or slightly overcast People recorded (sample) 2013: 31 625 People recorded (sample) 2013: 6384
Source: bfu, surveys VSV.G.08
People recorded (sample) 2013: 6384
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32 Road traffic – Behaviour and attitudes Safety indicators bfu–STATUS2013
Development of speed behaviour, 1975–2010
Year Speeds (average) in kphUrban roads Rural roads Motorways
V851 Vm2 V>VL3 V851 Vm2 V>VL3 V851 Vm2 V>VL3
1975 … … … … … … … … …19804 55 49 42 … … … 133 113 221985 … … … 92 81 49 126 110 281990 … … … 88 77 35 129 113 351995 … … … 92 82 56 127 112 332000 … … … … … … 129 112 352001 … … … 85 78 35 127 112 342002 … … … 83 76 27 129 114 382003 50 43 21 83 75 24 128 114 382004 49 43 19 81 73 19 125 111 302005 49 43 18 83 75 26 125 111 292006 47 41 13 79 72 16 123 110 262007 47 41 12 83 75 24 121 107 212008 49 42 16 82 75 30 122 109 222009 51 44 25 84 75 30 122 109 242010 50 44 23 84 76 31 121 108 18 In built-up areas: Speed limit of 50 kph since 01.01.1984 Outside built-up areas: Speed limit of 80 kph since 01.01.1985 Motorways: Speed limit of 120 kph since 01.01.1985 1 Speed complied with by 85% of drivers2 Average speed3 Share in percent of vehicles above the posted speed limit (VL)4 Highest permissible speed of 50 kph at the measurement points on urban roads
Source: IVT at the ETH Zurich, speed measurements VSV.T.05
Development of rates for car daytime running lights in fine weather1, by region, 2001–2013
0%
10%
20%
30%
40%
50%
60%
70%
80%
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
German-speaking Switzerland French-speaking SwitzerlandTicino Total
Development of helmet-wearing rates among cyclists, by travel pur-pose, 1998–2013
0%
10%
20%
30%
40%
50%
60%
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
Work School Shopping Leisure Total
SV, 30 / 31 / 32
Average speed (Vm) and speed complied with by 85 % of drivers (V85), by location, 2010
44
76
108
50
84
121
0
20
40
60
80
100
120
140
Urban roads Rural roads Motorways
Vm V85
Development of helmet-wearing rates among cyclists, by age, 1998–2013
0%
10%
20%
30%
40%
50%
60%
70%
80%
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
0–14 15–29 30–44 45–59 60+
Source: IVT at the ETH Zurich, speed measurements VSV.G.05
Source: bfu, surveys VSV.G.03 Source: bfu, surveys VSV.G.06
1 Bright and sunny or slightly overcast People recorded (sample) 2013: 31 625 People recorded (sample) 2013: 6384
Source: bfu, surveys VSV.G.08
People recorded (sample) 2013: 6384
Children secured in cars, by age and location (special survey) in percent, 1997–2012
Age 1997 2002 2007 2012Urban roads
0–6 74 88 93 917–12 66 66 91 99Total on urban roads 72 84 93 93
Rural roads0–6 69 82 95 897–12 53 80 92 96Total on rural roads 62 81 94 91
Motorways0–6 82 87 94 947–12 71 94 97 99Total on motorways 78 95 95 96 Total 70 85 94 93
Source: bfu, surveys VSV.T.06
bfu–STATUS2013 Road traffic – Behaviour and attitudes Self-reported modes of behaviour 33
Self-reported modes of behaviour
SV, S. 34
Naming reasons against "daytime running lights", by age, 2013
61
26
3
8
3
44
21
18
8
5
41
21
16
15
10
0% 10% 20% 30% 40% 50% 60% 70%
Have little effect on safety
Cause increased costs
There are already too many trafficregulations
Other road users are noticed less/tend tobe overlooked
Dazzle other road users
15–29 30–44 45+
Naming reasons against "daytime running lights", 2013
47
23
13
11
7
0% 10% 20% 30% 40% 50%
Have little effect on safety
Cause increased costs
There are already too many trafficregulations
Other road users are noticed less/tend tobe overlooked
Dazzle other road users
Share of people who ride an e-bike at least once a year, 2013
6
5
6
4
5
7
6
5
3
0%
2%
4%
6%
8%
10%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45+
Ger
man
-sp.
Switz
erla
ndFr
ench
-sp.
Switz
erla
nd
Ticin
o
Source: bfu, population survey ESV.G.53 Source: bfu, population survey ESV.G.52
People interviewed (sample): 315 (only opponents of DRL legislation) People interviewed (sample): 315 (only opponents of DRL legislation)
Source: bfu, population survey ESV.G.51
People interviewed (sample): 1013
Share of people who tend to be in favour of the following measures, 2013
94
90
88
82
76
74
68
68
0% 20% 40% 60% 80% 100%
Income from traffic fines to be used partlyfor road safety
Speedy updating or relocating of dangerouspedestrian crossings
Compulsory helmet-wearing for e-bikecyclists
Ban on alcohol sales at motorway services
Psychological character test forspeeding/serious traffic offenders
Compulsory helmet-wearing for all cyclists
Vision test every ten years for people over 50
Higher insurance premiums for risky drivers
Share of car drivers who, on their own admission, occasionally drive too fast, 2013
82 82 82 91 89
80 71
84 76
82 76 78
88
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
18–2
9*
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Share of car drivers who, on their own admission, occasionally drive while under the influence of alcohol (2 glasses or more), 2013
29
38
19
24 26
38
25 24
42
34
17
25
38
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
18–2
9*
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Source: bfu, population survey ESV.G.43
Source: bfu, population survey ESV.G.44 Source: bfu, population survey ESV.G.24
* Small Base People interviewed (sample): 742 (only car drivers)
People interviewed (sample): 1013
* Small Base People interviewed (sample): 742 (only car drivers)
SV, S. 34
Naming reasons against "daytime running lights", by age, 2013
61
26
3
8
3
44
21
18
8
5
41
21
16
15
10
0% 10% 20% 30% 40% 50% 60% 70%
Have little effect on safety
Cause increased costs
There are already too many trafficregulations
Other road users are noticed less/tend tobe overlooked
Dazzle other road users
15–29 30–44 45+
Naming reasons against "daytime running lights", 2013
47
23
13
11
7
0% 10% 20% 30% 40% 50%
Have little effect on safety
Cause increased costs
There are already too many trafficregulations
Other road users are noticed less/tend tobe overlooked
Dazzle other road users
Share of people who ride an e-bike at least once a year, 2013
6
5
6
4
5
7
6
5
3
0%
2%
4%
6%
8%
10%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45+
Ger
man
-sp.
Switz
erla
ndFr
ench
-sp.
Switz
erla
nd
Ticin
o
Source: bfu, population survey ESV.G.53 Source: bfu, population survey ESV.G.52
People interviewed (sample): 315 (only opponents of DRL legislation) People interviewed (sample): 315 (only opponents of DRL legislation)
Source: bfu, population survey ESV.G.51
People interviewed (sample): 1013
Share of people who tend to be in favour of the following measures, 2013
94
90
88
82
76
74
68
68
0% 20% 40% 60% 80% 100%
Income from traffic fines to be used partlyfor road safety
Speedy updating or relocating of dangerouspedestrian crossings
Compulsory helmet-wearing for e-bikecyclists
Ban on alcohol sales at motorway services
Psychological character test forspeeding/serious traffic offenders
Compulsory helmet-wearing for all cyclists
Vision test every ten years for people over 50
Higher insurance premiums for risky drivers
Share of car drivers who, on their own admission, occasionally drive too fast, 2013
82 82 82 91 89
80 71
84 76
82 76 78
88
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
18–2
9*
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Share of car drivers who, on their own admission, occasionally drive while under the influence of alcohol (2 glasses or more), 2013
29
38
19
24 26
38
25 24
42
34
17
25
38
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
18–2
9*
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Source: bfu, population survey ESV.G.43
Source: bfu, population survey ESV.G.44 Source: bfu, population survey ESV.G.24
* Small Base People interviewed (sample): 742 (only car drivers)
People interviewed (sample): 1013
* Small Base People interviewed (sample): 742 (only car drivers)
SV, S. 33
Share of people who correctly named the maximum speed permissible in living streets as 20 kph, 2013
34 37
31 34
39 35
26
38
24
12
25
33
41 39
19
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Driv
ers
Non
-driv
ers
Naming the currently applicable blood-alcohol limit, 2003–2013
30
4
7
11
14
69
94
87
8
76
1
2
6
9
11
0% 20% 40% 60% 80% 100%
2003
2005
2008
2011
2013
Stated too low (<0.5ml or <0.8ml)Stated correctly (0.5ml or 0.8 ml alcohol level)Stated too high (>0.5ml or >0.8ml)
2003: 0.8ml; from 2005: 0.5ml People interviewed (sample): 742 (only car drivers)
Source: bfu, population survey ESV.G.47
Source: bfu, population survey ESV.G.45
People interviewed (sample): 1013
Naming the currently applicable blood-alcohol level, 2013
21
13
14
20
15
10
14
16
17
11
14
68
77
76
58
76
79
74
77
67
83
76
11
11
11
22
9
11
11
6
16
7
11
0% 20% 40% 60% 80% 100%
TicinoFr.-sp. Switzerland
Ger.-sp. Switzerland
75+60–7445–5930–44
18–29*
FemaleMale
Total
Stated too low (< 0.5ml) Stated correctly (0.5ml) Stated too high (>0.5ml)*Small Base People interviewed (sample): 742 (only car drivers)
Source: bfu, population survey ESV.G.46
Share of people who ride a motorcycle at least once a year, 2013
10
16
5
13 12
9 9
15
18
9
11 11
0%
5%
10%
15%
20%
Tota
l
Mal
e
Fem
ale
16–2
9
30–4
4
45+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Share of motorcyclists who drive with increased risk, 2013
73
47
45
39
32
12
8
0% 20% 40% 60% 80%
Driving faster than the permissible speed
Driving without full protective clothing
Driving faster than conditions permit
Driving when overtired or unfit
Tailgating
Driving when under the influence ofalcohol (2 glasses or more)
Overtaking at blind spots
Share of people who had heard of the term "living street", 2013
37 41
33
27
44 44
32
44
21
7
18
38
50
44
24
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Driv
ers
Non
-driv
ers
Source: bfu, population survey ESV.G.48
People interviewed (sample): 1013
Source: bfu, population survey ESV.G.50 Source: bfu, population survey ESV.G.49
People interviewed (sample): 988 People interviewed (sample): 117 (only motorcyclists)
SV, S. 33
Share of people who correctly named the maximum speed permissible in living streets as 20 kph, 2013
34 37
31 34
39 35
26
38
24
12
25
33
41 39
19
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Driv
ers
Non
-driv
ers
Naming the currently applicable blood-alcohol limit, 2003–2013
30
4
7
11
14
69
94
87
8
76
1
2
6
9
11
0% 20% 40% 60% 80% 100%
2003
2005
2008
2011
2013
Stated too low (<0.5ml or <0.8ml)Stated correctly (0.5ml or 0.8 ml alcohol level)Stated too high (>0.5ml or >0.8ml)
2003: 0.8ml; from 2005: 0.5ml People interviewed (sample): 742 (only car drivers)
Source: bfu, population survey ESV.G.47
Source: bfu, population survey ESV.G.45
People interviewed (sample): 1013
Naming the currently applicable blood-alcohol level, 2013
21
13
14
20
15
10
14
16
17
11
14
68
77
76
58
76
79
74
77
67
83
76
11
11
11
22
9
11
11
6
16
7
11
0% 20% 40% 60% 80% 100%
TicinoFr.-sp. Switzerland
Ger.-sp. Switzerland
75+60–7445–5930–44
18–29*
FemaleMale
Total
Stated too low (< 0.5ml) Stated correctly (0.5ml) Stated too high (>0.5ml)*Small Base People interviewed (sample): 742 (only car drivers)
Source: bfu, population survey ESV.G.46
Share of people who ride a motorcycle at least once a year, 2013
10
16
5
13 12
9 9
15
18
9
11 11
0%
5%
10%
15%
20%
Tota
l
Mal
e
Fem
ale
16–2
9
30–4
4
45+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Share of motorcyclists who drive with increased risk, 2013
73
47
45
39
32
12
8
0% 20% 40% 60% 80%
Driving faster than the permissible speed
Driving without full protective clothing
Driving faster than conditions permit
Driving when overtired or unfit
Tailgating
Driving when under the influence ofalcohol (2 glasses or more)
Overtaking at blind spots
Share of people who had heard of the term "living street", 2013
37 41
33
27
44 44
32
44
21
7
18
38
50
44
24
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Driv
ers
Non
-driv
ers
Source: bfu, population survey ESV.G.48
People interviewed (sample): 1013
Source: bfu, population survey ESV.G.50 Source: bfu, population survey ESV.G.49
People interviewed (sample): 988 People interviewed (sample): 117 (only motorcyclists)
SV, S. 34
Naming reasons against "daytime running lights", by age, 2013
61
26
3
8
3
44
21
18
8
5
41
21
16
15
10
0% 10% 20% 30% 40% 50% 60% 70%
Have little effect on safety
Cause increased costs
There are already too many trafficregulations
Other road users are noticed less/tend tobe overlooked
Dazzle other road users
15–29 30–44 45+
Naming reasons against "daytime running lights", 2013
47
23
13
11
7
0% 10% 20% 30% 40% 50%
Have little effect on safety
Cause increased costs
There are already too many trafficregulations
Other road users are noticed less/tend tobe overlooked
Dazzle other road users
Share of people who ride an e-bike at least once a year, 2013
6
5
6
4
5
7
6
5
3
0%
2%
4%
6%
8%
10%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45+
Ger
man
-sp.
Switz
erla
ndFr
ench
-sp.
Switz
erla
nd
Ticin
o
Source: bfu, population survey ESV.G.53 Source: bfu, population survey ESV.G.52
People interviewed (sample): 315 (only opponents of DRL legislation) People interviewed (sample): 315 (only opponents of DRL legislation)
Source: bfu, population survey ESV.G.51
People interviewed (sample): 1013
Share of people who tend to be in favour of the following measures, 2013
94
90
88
82
76
74
68
68
0% 20% 40% 60% 80% 100%
Income from traffic fines to be used partlyfor road safety
Speedy updating or relocating of dangerouspedestrian crossings
Compulsory helmet-wearing for e-bikecyclists
Ban on alcohol sales at motorway services
Psychological character test forspeeding/serious traffic offenders
Compulsory helmet-wearing for all cyclists
Vision test every ten years for people over 50
Higher insurance premiums for risky drivers
Share of car drivers who, on their own admission, occasionally drive too fast, 2013
82 82 82 91 89
80 71
84 76
82 76 78
88
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
18–2
9*
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Share of car drivers who, on their own admission, occasionally drive while under the influence of alcohol (2 glasses or more), 2013
29
38
19
24 26
38
25 24
42
34
17
25
38
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
18–2
9*
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Source: bfu, population survey ESV.G.43
Source: bfu, population survey ESV.G.44 Source: bfu, population survey ESV.G.24
* Small Base People interviewed (sample): 742 (only car drivers)
People interviewed (sample): 1013
* Small Base People interviewed (sample): 742 (only car drivers)
SV, S. 34
Naming reasons against "daytime running lights", by age, 2013
61
26
3
8
3
44
21
18
8
5
41
21
16
15
10
0% 10% 20% 30% 40% 50% 60% 70%
Have little effect on safety
Cause increased costs
There are already too many trafficregulations
Other road users are noticed less/tend tobe overlooked
Dazzle other road users
15–29 30–44 45+
Naming reasons against "daytime running lights", 2013
47
23
13
11
7
0% 10% 20% 30% 40% 50%
Have little effect on safety
Cause increased costs
There are already too many trafficregulations
Other road users are noticed less/tend tobe overlooked
Dazzle other road users
Share of people who ride an e-bike at least once a year, 2013
6
5
6
4
5
7
6
5
3
0%
2%
4%
6%
8%
10%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45+
Ger
man
-sp.
Switz
erla
ndFr
ench
-sp.
Switz
erla
nd
Ticin
o
Source: bfu, population survey ESV.G.53 Source: bfu, population survey ESV.G.52
People interviewed (sample): 315 (only opponents of DRL legislation) People interviewed (sample): 315 (only opponents of DRL legislation)
Source: bfu, population survey ESV.G.51
People interviewed (sample): 1013
Share of people who tend to be in favour of the following measures, 2013
94
90
88
82
76
74
68
68
0% 20% 40% 60% 80% 100%
Income from traffic fines to be used partlyfor road safety
Speedy updating or relocating of dangerouspedestrian crossings
Compulsory helmet-wearing for e-bikecyclists
Ban on alcohol sales at motorway services
Psychological character test forspeeding/serious traffic offenders
Compulsory helmet-wearing for all cyclists
Vision test every ten years for people over 50
Higher insurance premiums for risky drivers
Share of car drivers who, on their own admission, occasionally drive too fast, 2013
82 82 82 91 89
80 71
84 76
82 76 78
88
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
18–2
9*
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Share of car drivers who, on their own admission, occasionally drive while under the influence of alcohol (2 glasses or more), 2013
29
38
19
24 26
38
25 24
42
34
17
25
38
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
18–2
9*
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Source: bfu, population survey ESV.G.43
Source: bfu, population survey ESV.G.44 Source: bfu, population survey ESV.G.24
* Small Base People interviewed (sample): 742 (only car drivers)
People interviewed (sample): 1013
* Small Base People interviewed (sample): 742 (only car drivers)
Stra
ssen
verk
ehr
– U
nfa
llg
esch
ehen
Stra
ssen
verk
ehr
– U
nfa
llg
esch
ehen
Ro
ad t
raffi
c –
Beh
avio
ur
and
att
itu
des
SV, S. 34
Naming reasons against "daytime running lights", by age, 2013
61
26
3
8
3
44
21
18
8
5
41
21
16
15
10
0% 10% 20% 30% 40% 50% 60% 70%
Have little effect on safety
Cause increased costs
There are already too many trafficregulations
Other road users are noticed less/tend tobe overlooked
Dazzle other road users
15–29 30–44 45+
Naming reasons against "daytime running lights", 2013
47
23
13
11
7
0% 10% 20% 30% 40% 50%
Have little effect on safety
Cause increased costs
There are already too many trafficregulations
Other road users are noticed less/tend tobe overlooked
Dazzle other road users
Share of people who ride an e-bike at least once a year, 2013
6
5
6
4
5
7
6
5
3
0%
2%
4%
6%
8%
10%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45+
Ger
man
-sp.
Switz
erla
ndFr
ench
-sp.
Switz
erla
nd
Ticin
o
Source: bfu, population survey ESV.G.53 Source: bfu, population survey ESV.G.52
People interviewed (sample): 315 (only opponents of DRL legislation) People interviewed (sample): 315 (only opponents of DRL legislation)
Source: bfu, population survey ESV.G.51
People interviewed (sample): 1013
Share of people who tend to be in favour of the following measures, 2013
94
90
88
82
76
74
68
68
0% 20% 40% 60% 80% 100%
Income from traffic fines to be used partlyfor road safety
Speedy updating or relocating of dangerouspedestrian crossings
Compulsory helmet-wearing for e-bikecyclists
Ban on alcohol sales at motorway services
Psychological character test forspeeding/serious traffic offenders
Compulsory helmet-wearing for all cyclists
Vision test every ten years for people over 50
Higher insurance premiums for risky drivers
Share of car drivers who, on their own admission, occasionally drive too fast, 2013
82 82 82 91 89
80 71
84 76
82 76 78
88
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
18–2
9*
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Share of car drivers who, on their own admission, occasionally drive while under the influence of alcohol (2 glasses or more), 2013
29
38
19
24 26
38
25 24
42
34
17
25
38
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
18–2
9*
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Source: bfu, population survey ESV.G.43
Source: bfu, population survey ESV.G.44 Source: bfu, population survey ESV.G.24
* Small Base People interviewed (sample): 742 (only car drivers)
People interviewed (sample): 1013
* Small Base People interviewed (sample): 742 (only car drivers)
SV, S. 34
Naming reasons against "daytime running lights", by age, 2013
61
26
3
8
3
44
21
18
8
5
41
21
16
15
10
0% 10% 20% 30% 40% 50% 60% 70%
Have little effect on safety
Cause increased costs
There are already too many trafficregulations
Other road users are noticed less/tend tobe overlooked
Dazzle other road users
15–29 30–44 45+
Naming reasons against "daytime running lights", 2013
47
23
13
11
7
0% 10% 20% 30% 40% 50%
Have little effect on safety
Cause increased costs
There are already too many trafficregulations
Other road users are noticed less/tend tobe overlooked
Dazzle other road users
Share of people who ride an e-bike at least once a year, 2013
6
5
6
4
5
7
6
5
3
0%
2%
4%
6%
8%
10%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45+
Ger
man
-sp.
Switz
erla
ndFr
ench
-sp.
Switz
erla
nd
Ticin
o
Source: bfu, population survey ESV.G.53 Source: bfu, population survey ESV.G.52
People interviewed (sample): 315 (only opponents of DRL legislation) People interviewed (sample): 315 (only opponents of DRL legislation)
Source: bfu, population survey ESV.G.51
People interviewed (sample): 1013
Share of people who tend to be in favour of the following measures, 2013
94
90
88
82
76
74
68
68
0% 20% 40% 60% 80% 100%
Income from traffic fines to be used partlyfor road safety
Speedy updating or relocating of dangerouspedestrian crossings
Compulsory helmet-wearing for e-bikecyclists
Ban on alcohol sales at motorway services
Psychological character test forspeeding/serious traffic offenders
Compulsory helmet-wearing for all cyclists
Vision test every ten years for people over 50
Higher insurance premiums for risky drivers
Share of car drivers who, on their own admission, occasionally drive too fast, 2013
82 82 82 91 89
80 71
84 76
82 76 78
88
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
18–2
9*
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Share of car drivers who, on their own admission, occasionally drive while under the influence of alcohol (2 glasses or more), 2013
29
38
19
24 26
38
25 24
42
34
17
25
38
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
18–2
9*
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Source: bfu, population survey ESV.G.43
Source: bfu, population survey ESV.G.44 Source: bfu, population survey ESV.G.24
* Small Base People interviewed (sample): 742 (only car drivers)
People interviewed (sample): 1013
* Small Base People interviewed (sample): 742 (only car drivers)
SV, S. 33
Share of people who correctly named the maximum speed permissible in living streets as 20 kph, 2013
34 37
31 34
39 35
26
38
24
12
25
33
41 39
19
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Driv
ers
Non
-driv
ers
Naming the currently applicable blood-alcohol limit, 2003–2013
30
4
7
11
14
69
94
87
8
76
1
2
6
9
11
0% 20% 40% 60% 80% 100%
2003
2005
2008
2011
2013
Stated too low (<0.5ml or <0.8ml)Stated correctly (0.5ml or 0.8 ml alcohol level)Stated too high (>0.5ml or >0.8ml)
2003: 0.8ml; from 2005: 0.5ml People interviewed (sample): 742 (only car drivers)
Source: bfu, population survey ESV.G.47
Source: bfu, population survey ESV.G.45
People interviewed (sample): 1013
Naming the currently applicable blood-alcohol level, 2013
21
13
14
20
15
10
14
16
17
11
14
68
77
76
58
76
79
74
77
67
83
76
11
11
11
22
9
11
11
6
16
7
11
0% 20% 40% 60% 80% 100%
TicinoFr.-sp. Switzerland
Ger.-sp. Switzerland
75+60–7445–5930–44
18–29*
FemaleMale
Total
Stated too low (< 0.5ml) Stated correctly (0.5ml) Stated too high (>0.5ml)*Small Base People interviewed (sample): 742 (only car drivers)
Source: bfu, population survey ESV.G.46
Share of people who ride a motorcycle at least once a year, 2013
10
16
5
13 12
9 9
15
18
9
11 11
0%
5%
10%
15%
20%
Tota
l
Mal
e
Fem
ale
16–2
9
30–4
4
45+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Share of motorcyclists who drive with increased risk, 2013
73
47
45
39
32
12
8
0% 20% 40% 60% 80%
Driving faster than the permissible speed
Driving without full protective clothing
Driving faster than conditions permit
Driving when overtired or unfit
Tailgating
Driving when under the influence ofalcohol (2 glasses or more)
Overtaking at blind spots
Share of people who had heard of the term "living street", 2013
37 41
33
27
44 44
32
44
21
7
18
38
50
44
24
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Driv
ers
Non
-driv
ers
Source: bfu, population survey ESV.G.48
People interviewed (sample): 1013
Source: bfu, population survey ESV.G.50 Source: bfu, population survey ESV.G.49
People interviewed (sample): 988 People interviewed (sample): 117 (only motorcyclists)
SV, S. 33
Share of people who correctly named the maximum speed permissible in living streets as 20 kph, 2013
34 37
31 34
39 35
26
38
24
12
25
33
41 39
19
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Driv
ers
Non
-driv
ers
Naming the currently applicable blood-alcohol limit, 2003–2013
30
4
7
11
14
69
94
87
8
76
1
2
6
9
11
0% 20% 40% 60% 80% 100%
2003
2005
2008
2011
2013
Stated too low (<0.5ml or <0.8ml)Stated correctly (0.5ml or 0.8 ml alcohol level)Stated too high (>0.5ml or >0.8ml)
2003: 0.8ml; from 2005: 0.5ml People interviewed (sample): 742 (only car drivers)
Source: bfu, population survey ESV.G.47
Source: bfu, population survey ESV.G.45
People interviewed (sample): 1013
Naming the currently applicable blood-alcohol level, 2013
21
13
14
20
15
10
14
16
17
11
14
68
77
76
58
76
79
74
77
67
83
76
11
11
11
22
9
11
11
6
16
7
11
0% 20% 40% 60% 80% 100%
TicinoFr.-sp. Switzerland
Ger.-sp. Switzerland
75+60–7445–5930–44
18–29*
FemaleMale
Total
Stated too low (< 0.5ml) Stated correctly (0.5ml) Stated too high (>0.5ml)*Small Base People interviewed (sample): 742 (only car drivers)
Source: bfu, population survey ESV.G.46
Share of people who ride a motorcycle at least once a year, 2013
10
16
5
13 12
9 9
15
18
9
11 11
0%
5%
10%
15%
20%
Tota
l
Mal
e
Fem
ale
16–2
9
30–4
4
45+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Share of motorcyclists who drive with increased risk, 2013
73
47
45
39
32
12
8
0% 20% 40% 60% 80%
Driving faster than the permissible speed
Driving without full protective clothing
Driving faster than conditions permit
Driving when overtired or unfit
Tailgating
Driving when under the influence ofalcohol (2 glasses or more)
Overtaking at blind spots
Share of people who had heard of the term "living street", 2013
37 41
33
27
44 44
32
44
21
7
18
38
50
44
24
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Driv
ers
Non
-driv
ers
Source: bfu, population survey ESV.G.48
People interviewed (sample): 1013
Source: bfu, population survey ESV.G.50 Source: bfu, population survey ESV.G.49
People interviewed (sample): 988 People interviewed (sample): 117 (only motorcyclists)
SV, S. 33
Share of people who correctly named the maximum speed permissible in living streets as 20 kph, 2013
34 37
31 34
39 35
26
38
24
12
25
33
41 39
19
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Driv
ers
Non
-driv
ers
Naming the currently applicable blood-alcohol limit, 2003–2013
30
4
7
11
14
69
94
87
8
76
1
2
6
9
11
0% 20% 40% 60% 80% 100%
2003
2005
2008
2011
2013
Stated too low (<0.5ml or <0.8ml)Stated correctly (0.5ml or 0.8 ml alcohol level)Stated too high (>0.5ml or >0.8ml)
2003: 0.8ml; from 2005: 0.5ml People interviewed (sample): 742 (only car drivers)
Source: bfu, population survey ESV.G.47
Source: bfu, population survey ESV.G.45
People interviewed (sample): 1013
Naming the currently applicable blood-alcohol level, 2013
21
13
14
20
15
10
14
16
17
11
14
68
77
76
58
76
79
74
77
67
83
76
11
11
11
22
9
11
11
6
16
7
11
0% 20% 40% 60% 80% 100%
TicinoFr.-sp. Switzerland
Ger.-sp. Switzerland
75+60–7445–5930–44
18–29*
FemaleMale
Total
Stated too low (< 0.5ml) Stated correctly (0.5ml) Stated too high (>0.5ml)*Small Base People interviewed (sample): 742 (only car drivers)
Source: bfu, population survey ESV.G.46
Share of people who ride a motorcycle at least once a year, 2013
10
16
5
13 12
9 9
15
18
9
11 11
0%
5%
10%
15%
20%
Tota
l
Mal
e
Fem
ale
16–2
9
30–4
4
45+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Share of motorcyclists who drive with increased risk, 2013
73
47
45
39
32
12
8
0% 20% 40% 60% 80%
Driving faster than the permissible speed
Driving without full protective clothing
Driving faster than conditions permit
Driving when overtired or unfit
Tailgating
Driving when under the influence ofalcohol (2 glasses or more)
Overtaking at blind spots
Share of people who had heard of the term "living street", 2013
37 41
33
27
44 44
32
44
21
7
18
38
50
44
24
0%
10%
20%
30%
40%
50%To
tal
Mal
e
Fem
ale
15–2
9
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Driv
ers
Non
-driv
ers
Source: bfu, population survey ESV.G.48
People interviewed (sample): 1013
Source: bfu, population survey ESV.G.50 Source: bfu, population survey ESV.G.49
People interviewed (sample): 988 People interviewed (sample): 117 (only motorcyclists)
SV, S. 33
Share of people who correctly named the maximum speed permissible in living streets as 20 kph, 2013
34 37
31 34
39 35
26
38
24
12
25
33
41 39
19
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Driv
ers
Non
-driv
ers
Naming the currently applicable blood-alcohol limit, 2003–2013
30
4
7
11
14
69
94
87
8
76
1
2
6
9
11
0% 20% 40% 60% 80% 100%
2003
2005
2008
2011
2013
Stated too low (<0.5ml or <0.8ml)Stated correctly (0.5ml or 0.8 ml alcohol level)Stated too high (>0.5ml or >0.8ml)
2003: 0.8ml; from 2005: 0.5ml People interviewed (sample): 742 (only car drivers)
Source: bfu, population survey ESV.G.47
Source: bfu, population survey ESV.G.45
People interviewed (sample): 1013
Naming the currently applicable blood-alcohol level, 2013
21
13
14
20
15
10
14
16
17
11
14
68
77
76
58
76
79
74
77
67
83
76
11
11
11
22
9
11
11
6
16
7
11
0% 20% 40% 60% 80% 100%
TicinoFr.-sp. Switzerland
Ger.-sp. Switzerland
75+60–7445–5930–44
18–29*
FemaleMale
Total
Stated too low (< 0.5ml) Stated correctly (0.5ml) Stated too high (>0.5ml)*Small Base People interviewed (sample): 742 (only car drivers)
Source: bfu, population survey ESV.G.46
Share of people who ride a motorcycle at least once a year, 2013
10
16
5
13 12
9 9
15
18
9
11 11
0%
5%
10%
15%
20%
Tota
l
Mal
e
Fem
ale
16–2
9
30–4
4
45+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Share of motorcyclists who drive with increased risk, 2013
73
47
45
39
32
12
8
0% 20% 40% 60% 80%
Driving faster than the permissible speed
Driving without full protective clothing
Driving faster than conditions permit
Driving when overtired or unfit
Tailgating
Driving when under the influence ofalcohol (2 glasses or more)
Overtaking at blind spots
Share of people who had heard of the term "living street", 2013
37 41
33
27
44 44
32
44
21
7
18
38
50
44
24
0%
10%
20%
30%
40%
50%
Tota
l
Mal
e
Fem
ale
15–2
9
30–4
4
45–5
9
60+
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Low
leve
l of e
duca
tion
Med
ium
leve
l of e
duca
tion
High
leve
l of e
duca
tion
Driv
ers
Non
-driv
ers
Source: bfu, population survey ESV.G.48
People interviewed (sample): 1013
Source: bfu, population survey ESV.G.50 Source: bfu, population survey ESV.G.49
People interviewed (sample): 988 People interviewed (sample): 117 (only motorcyclists)
34 Road traffic – Behaviour and attitudes Self-reportedmodesofbehaviour bfu–STATUS2013
SportsEvery year, around 400,000 people resident in Switzerland are injured in sports accidents at home and abroad. 129 were killed, including 14 abroad. An avera-ge of 59 more fatalities must be added to these in Switzerland – victims from abroad who suffer fatal sporting accidents in Switzerland.
Spo
rts
– A
ccid
ents
36 Sports – Accidents Overview bfu–STATUS2010
Overview
Development of injured people, by type of sport, 2006–2010
Sports group/type of sport 2006 2007 2008 2009 2010Ball games
Football 74 450 74 850 79 900 81 090 83 860Other ball games 50 110 51 900 52 380 53 360 53 730Total for ball games 124 560 126 750 132 280 134 450 137 590
Water sportsBoating 2 680 2 700 2 820 2 790 2 720Bathing, swimming 11 740 11 610 11 890 12 130 12 520Other water sports 3 620 3 480 3 270 3 590 3 800Total for water sports 18 040 17 790 17 980 18 510 19 040
Winter sportsDownhill skiing (incl. touring) 50 270 45 500 53 400 54 040 51 300Snowboarding 14 980 15 060 15 060 15 550 13 920Cross-country skiing 4 740 4 340 4 740 4 530 4 370Tobogganing 8 310 6 350 7 570 8 050 7 710Ice-hockey 5 530 4 900 4 850 5 120 5 400Other winter sports 8 500 8 750 8 640 8 610 8 600Total for winter sports 92 330 84 900 94 260 95 900 91 300
Gymnastics, athleticsTotal for gymnastics, athletics 18 500 20 920 21 230 21 020 19 240
Hiking, ramblingHiking 5 900 6 010 5 750 6 130 5 260Rambling 13 040 12 480 12 430 13 370 14 670Total for hiking, rambling 18 940 18 490 18 180 19 500 19 930
CyclingMountain biking 6 680 7 370 7 040 8 320 8 310Cycling (not in traffic) 5 400 6 230 5 620 5 690 5 870Total for cycling 12 080 13 600 12 660 14 010 14 180
Other types of sportsSkating (scooter, in-line skates, skateboard) 16 440 17 120 16 370 16 820 15 690Equestrian sports 7 560 7 860 8 080 7 870 8 410Remaining types of sports 76 760 79 550 82 420 81 730 82 590Total for other types of sports 100 760 104 530 106 870 106 420 106 690Total 385 210 386 980 403 460 409 810 407 970
Source: bfu, revised extrapolation USP.T.01
bfu–STATUS2010 Sports – Accidents Age / Gender 37
Age / Gender
Persons injured by type of sport and age, 2010
Sports group/type of sport 0–16 17–64 65+ TotalBall games
Football 26 120 57 300 440 83 860Other ball games 14 270 39 150 310 53 730Total for ball games 40 390 96 450 750 137 590
Water sportsBoating 710 1 880 130 2 720Bathing, swimming 5 610 6 600 310 12 520Other water sports 280 3 390 130 3 800Total for water sports 6 600 11 870 570 19 040
Winter sportsDownhill skiing (incl. touring) 10 600 37 640 3 060 51 300Snowboarding 5 390 8 020 510 13 920Cross-country skiing 420 2 950 1 000 4 370Tobogganing 1 390 6 200 120 7 710Ice-hockey 1 560 3 790 50 5 400Other winter sports 470 7 570 560 8 600Total for winter sports 19 830 66 170 5 300 91 300
Gymnastics, athleticsTotal for gymnastics, athletics 13 730 5 210 300 19 240
Hiking, ramblingHiking 480 3 890 890 5 260Rambling 430 8 170 6 070 14 670Total for hiking, rambling 910 3 890 890 5 260
CyclingMountain biking 910 7 160 240 8 310Cycling (not in traffic) 2 670 2 620 580 5 870Total for cycling 3 580 9 780 820 14 180
Other types of sportsSkating (scooter, in-line skates, skateboard)
9 680 5 820 190 15 690
Equestrian sports 3 480 4 800 130 8 410Remaining types of sports 26 040 51 330 5 220 82 590Total for other types of sports 39 200 61 950 5 540 106 690Total 124 240 263 490 20 240 407 970
Source: bfu, revised extrapolation USP.T.02
Persons injured by type of sport and gender, 2010
Sports group/type of sport Male Female TotalBall games
Football 70 210 13 650 83 860Other ball games 36 390 17 340 53 730Total for ball games 106 600 30 990 137 590
Water sportsBoating 1 560 1 160 2 720Bathing, swimming 4 710 7 810 12 520Other water sports 3 520 280 3 800Total for water sports 9 790 9 250 19 040
Winter sportsDownhill skiing (incl. touring) 28 050 23 250 51 300Snowboarding 9 490 4 430 13 920Cross-country skiing 2 350 2 020 4 370Tobogganing 4 280 3 430 7 710Ice-hockey 5 350 50 5 400Other winter sports 7 570 1 030 8 600Total for winter sports 57 090 34 210 91 300
Gymnastics, athleticsTotal for gymnastics, athletics 5 710 13 530 19 240
Hiking, ramblingHiking 1 870 3 390 5 260Rambling 6 040 8 630 14 670Total for hiking, rambling 7 910 12 020 19 930
CyclingMountain biking 7 050 1 260 8 310Cycling (not in traffic) 4 080 1 790 5 870Total for cycling 11 130 3 050 14 180
Other types of sportsSkating (scooter, in-line skates, skateboard)
7 190 8 500 15 690
Equestrian sports 2 260 6 150 8 410Remaining types of sports 52 650 29 940 82 590Total for other types of sports 62 100 44 590 106 690Total 260 330 147 640 407 970
Source: bfu, revised extrapolation USP.T.40
Spo
rts
– A
ccid
ents
38 Sports – Accidents Sportsfatalities:AccidentsinSwitzerland bfu–STATUS2010
Sports fatalities: Accidents in Switzerland
Fatalities by type of sport and residential location (location of accident: Switzerland), Ø 2008–2012
Type of sport Switzerland Abroad TotalMen Women Total Men Women Total Men Women Total
MountaineeringHiking 28 10 38 10 1 11 38 11 49Mountaineering 6 1 7 15 2 17 21 3 24Climbing 3 1 4 1 1 2 4 2 6Other mountain sport 1 0 1 0 0 0 1 0 1Total for mountaineering 38 12 50 26 4 30 64 16 80
Winter sportsSkiing tours 9 2 11 5 1 6 14 3 17Off-piste skiing 3 0 3 3 1 4 6 1 7Alpine skiing 3 1 4 2 0 2 5 1 6Off-piste snowboarding 1 0 1 2 0 2 3 0 3Snowshoeing 1 1 2 1 1 2 2 2 4Snowboarding 1 0 1 0 1 1 1 1 2Sledding 1 0 1 0 0 0 1 0 1Other winter sports 1 0 1 0 0 0 1 0 1Total for winter sports 20 4 24 13 4 17 33 8 41
Water sportsBathing/swimming 8 3 11 3 0 3 11 3 14Boating 3 0 3 1 1 2 4 1 5Diving 3 1 4 1 0 1 4 1 5Other water sports 2 0 2 0 0 0 2 0 2Total for water sports 16 4 20 5 1 6 21 5 26
AviationParagliding 5 0 5 0 0 0 5 0 5Base jumping 1 0 1 4 0 4 5 0 5Gliding 2 0 2 1 0 1 3 0 3Other form of aviation 1 0 1 0 0 0 1 0 1Total for aviation 9 0 9 5 0 5 14 0 14
Other types of sportsRambling, walking 2 1 3 1 0 1 3 1 4Hunting 3 0 3 0 0 0 3 0 3Fishing 2 0 2 0 0 0 2 0 2Horseriding 1 0 1 0 0 0 1 0 1Mountainbiking 1 0 1 0 0 0 1 0 1Other types of sport 1 1 2 0 0 0 1 1 2Total for other types of sports 10 2 12 1 0 1 11 2 13Total 93 22 115 50 9 59 143 31 174
Source: bfu, fatal sports accidents statistics USP.T.16
Fatalities, by type of sports group and age (location of accident: Switzerland), Ø 2008–2012
Type of sports group
0–16 17–25 26–45 46–64 65+ Unknown Total
Mountain sports 2 7 24 29 18 0 80Winter sports 2 4 17 12 4 1 40Water sports 2 5 9 5 5 0 26Aviation sports 0 1 7 4 2 0 14Other types of sport 1 1 3 5 4 0 14Total 7 18 60 55 33 1 174Fatalities Ø 2008–2012: 174 (resident in Switzerland: 115, resident outside Switzerland: 58)
Source: bfu, statistics on fatal sports accidents USP.T.36
Fatalities, by type of sports group and place of residence (location of accident: Switzerland), 2012 / Ø 2008–2012
Type of sports group
2012 Ø 2008–2012Resident
in CHResident
outside CHTotal Resident
in CHResident
outside CHTotal
Mountain sports 31 28 59 50 30 80Winter sports 21 15 36 24 17 41Water sports 29 5 34 20 6 26Aviation sports 10 7 17 9 5 14Other 13 3 16 12 1 13Total 104 58 162 115 59 174
Source: bfu, statistics on fatal sports accidents USP.T.37
bfu–STATUS2010 Sports – Accidents Injury localisation 39
Injury localisation
Injury localisation among people compulsorily insured, by types of sport (per 100 people injured), Ø 2006–2010
Types of sport
Skul
l/bra
in
Face
Eyes
Hea
d/fa
ce/n
eck1
Spin
al c
olum
n/sp
inal
cor
d
Trun
k
Shou
lder
gir
dle/
uppe
r ar
m
Low
er a
rm/e
lbow
Wri
st/h
and/
fing
er
Upp
er e
xtre
mit
ies1
Hip
Thig
h
Kne
e
Calf
/ank
le
Foot
/toe
s
Low
er e
xtre
mit
ies1
Rem
aini
ng a
nd s
ever
al
part
s of
the
bod
y1
Enti
re b
ody
(s
yste
mic
eff
ects
)
Ball gamesFootball 1 4 1 3 1 8 5 2 9 0 3 4 17 15 22 8 0 0Other ball games 1 4 2 3 2 5 6 2 18 0 2 2 13 15 18 8 0 0
Water sportsBoating 1 7 1 8 4 13 16 5 13 1 2 0 12 7 15 5 2 1Bathing, swimming 2 6 1 11 5 10 8 3 7 1 1 1 5 5 28 6 1 9Other water sports 1 8 1 10 6 14 9 3 11 1 1 2 9 7 12 7 2 7
Winter sportsDownhill skiing (incl. touring) 3 3 1 5 5 14 24 3 12 0 2 2 26 9 2 6 1 1Snowboarding 5 2 0 7 9 22 20 8 11 1 1 1 11 6 5 4 1 0Cross-country skiing 0 2 1 4 6 23 21 3 18 0 4 4 13 3 3 4 0 0Tobogganing 2 3 1 4 6 19 8 2 11 0 1 2 22 15 10 7 1 0Ice-hockey 3 9 1 8 3 13 17 4 11 1 2 4 14 6 6 4 1 1Other winter sports 4 6 2 8 5 18 12 9 14 1 2 2 17 7 5 3 1 0
Gymnastics, athleticsGymnastics, athletics 1 3 1 3 3 7 7 3 7 1 3 3 14 16 22 13 1 2
Hinking, ramblingHinking 1 3 1 4 2 9 8 3 11 2 1 1 17 17 16 13 2 2Rambling 1 2 3 4 2 12 9 5 13 1 1 1 10 14 16 12 1 5
CyclingMountain biking 3 5 2 7 5 17 22 11 19 3 2 2 9 9 4 8 3 2Cycling (not in traffic) 4 1 2 3 1 17 26 12 17 0 6 2 13 10 4 10 3 0
Other types of sportsSkating (scooter, in-lineskates, skateboard)
2 6 1 9 4 16 11 11 20 3 2 3 12 8 3 7 1 0
Equestrian sports 7 4 1 9 11 28 12 5 13 1 3 3 6 9 10 4 2 1Remaining types of sports 1 4 2 6 4 13 10 5 17 1 2 3 12 10 15 6 1 1Total 2 4 1 5 4 11 11 4 12 1 2 3 15 12 15 8 1 11 Not specified in greater detail
Source: SSUV, UVG statistics USP.T.05
Spo
rts
– A
ccid
ents
40 Sports – Accidents Drowningaccidents bfu–STATUS2013
Drowning accidents
Development of drowning accidents, by location (location of accident: Switzerland), 2000–20121
Year Lake River Stream Indoor swimming pool, public
Pond, pool, biotope
Lido Open-air pool, public
Swimming pool, private
Other acci-dent location
Total
2000 25 7 1 5 1 0 0 1 3 432001 17 25 4 4 0 0 0 0 2 522002 19 7 4 5 4 1 0 1 1 422003 38 24 6 2 0 2 0 3 1 762004 21 10 3 1 1 0 1 0 1 382005 24 16 4 3 1 1 0 1 1 512006 16 14 11 0 1 1 1 0 3 472007 16 19 5 3 0 1 2 0 0 462008 7 17 3 0 3 0 0 0 1 312009 20 12 5 0 0 2 1 0 2 422010 15 22 4 0 0 0 0 0 1 422011 19 16 2 0 1 0 1 0 1 402012 24 21 5 1 1 1 1 0 1 55Total 261 210 57 24 13 9 7 6 18 6051 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.T.27
Drowning accidents, by activity and gender (accident in Switzerland), ∑ 2000–20121
Activity Male Female Unknown TotalBathing/swimming in open water 154 32 1 187Boating 58 8 0 66Underwater diving 37 6 0 43Walking/hiking/strolling 27 13 1 41Bathing/swimming in a swim-ming pool
26 9 1 36
Fishing 15 0 0 15Diving (platform/springboard) 14 1 0 15Canyoning 5 3 0 8Surfing 6 0 0 6Other type of sport 12 2 0 14Game/leisuretime activity 59 15 1 75Travelling by motor vehicle 27 13 0 40Unknown/remainder 45 13 1 59Total 485 115 5 6051 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.T.38
Drowning accidents by accident circumstances and age (location of accident: Switzerland), ∑ 2000–20121
Accident circumstances 0–4 5–9 10–14 15–24 25–44 45–64 65+ Unknown TotalSuddenly sinking 6 15 10 49 63 25 29 7 204Falling into water 22 9 5 17 33 44 43 11 184Capsizing 0 0 0 11 19 9 3 4 46Swept away by the water 1 0 1 13 11 9 1 1 37Diving 0 0 0 0 2 1 0 0 3Other accident circumstances 0 0 1 3 4 5 2 0 15Unknown 1 1 2 7 35 34 28 8 116Total 30 25 19 100 167 127 106 31 6051 These figures refer to the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.T.39
SP, S. 40, 41, 42
Fatalities in off-piste snowsports, by type of sport and accident circumstances, ∑ 2000–20121
143
73
22 21
24
19
233
23
9
9
2
9
11
5
1
2
3
3
2
0
50
100
150
200
Ski touring Off-piste skiing Off-piste snow-boarding
Snow-shoeing
Avalanche/ snow slab Fall Fall into a crevasseOther accident circumstance Unknown
Source: bfu, statistics on fatal sports accidents USP.G.25
Development of drowning accidents, by country of residence (location of accident: Switzerland), 2000–2012
3944
36
61
33
4238 38
28 3036 33
47
4
8
6
15
5
89
5
3
106
7
8
0
10
20
30
40
50
60
70
80
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Resident in Switzerland Resident outside Switzerland
Source: bfu, statistics on fatal sports accidents USP.G.15
Share of fatalities in avalanche accidents by type of sport (accident in Switzerland), Ø 2000–20121
48%
25%
7%
7%
7%5%
Ski touring
Off-piste skiing
Off-piste snowboarding
Snowshoeing
Mountaineering
Other type of sport
Fatalities Ø 2000–2012: 23 1 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.G.20
Distribution of fatal mountain sports accidents, by accident circum-stances (location of accident: Switzerland), Ø 2000–20121
82%
3%
3%2%
5%5%
Fall
Avalanche/snow slab
Rockfall
Fall into a crevasse
Other accident circumstances
Unknown
Fatalities Ø 2000–2012: 83 1 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.G.21
Fatal mountain sports accidents, by type of sport and organisation (accident location: Switzerland), ∑ 2000–20121
518
355
5913
22
27
26
47
29
4
2 0
100
200
300
400
500
600
Mountain hiking Mountaineering Climbing Other mountainsport
Not institutionally organised Institutionally organised Unknown
Source: bfu, statistics on fatal sports accidents USP.G.24
1 These figures are based on the Swiss population and foreign visitors.
1 These figures are based on the Swiss population and foreign visitors.
bfu–STATUS2013 Sports – Accidents Mountain sports 41
Mountain sports
Development of fatal mountain sports accidents, by type of sport (location of accident: Switzerland), 2000–20121
Year Hiking Mountaineering Climbing Ice climbing Canyoning Other mountain sport
Total
2000 40 28 2 0 0 1 712005 37 26 8 2 0 0 732006 45 32 7 1 1 0 862007 51 41 5 0 0 0 972008 44 21 3 2 1 0 712009 48 24 6 0 0 0 782010 53 18 8 1 0 0 802011 66 36 7 1 0 0 1102012 29 23 4 0 3 0 591 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.T.30
Fatal mountain sports accidents, by type of sport, age, gender and (location of accident: Switzerland), ∑ 2000–2012
Age Hiking Mountaineering Climbing Ice climbing Canyoning Other mountain sport TotalAge
0–9 3 0 1 0 0 0 410–19 22 12 4 2 1 0 4120–29 43 107 13 1 3 0 16730–39 59 83 14 5 2 1 16440–49 70 84 15 2 2 0 17350–59 103 77 13 0 1 0 194
60–69 127 32 4 0 0 0 16370+ 149 4 1 0 0 0 154Unknown 11 12 0 0 0 1 24
GenderMale 455 361 53 8 6 2 885Female 132 50 12 2 3 0 199
ProvenanceSwitzerland 454 139 46 6 6 2 653Foreign country
133 272 19 4 3 0 431
Total 587 411 65 10 9 2 1 084
Source: bfu, statistics on fatal sports accidents USP.T.31
SP, S. 40, 41, 42
Fatalities in off-piste snowsports, by type of sport and accident circumstances, ∑ 2000–20121
143
73
22 21
24
19
233
23
9
9
2
9
11
5
1
2
3
3
2
0
50
100
150
200
Ski touring Off-piste skiing Off-piste snow-boarding
Snow-shoeing
Avalanche/ snow slab Fall Fall into a crevasseOther accident circumstance Unknown
Source: bfu, statistics on fatal sports accidents USP.G.25
Development of drowning accidents, by country of residence (location of accident: Switzerland), 2000–2012
3944
36
61
33
4238 38
28 3036 33
47
4
8
6
15
5
89
5
3
106
7
8
0
10
20
30
40
50
60
70
80
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Resident in Switzerland Resident outside Switzerland
Source: bfu, statistics on fatal sports accidents USP.G.15
Share of fatalities in avalanche accidents by type of sport (accident in Switzerland), Ø 2000–20121
48%
25%
7%
7%
7%5%
Ski touring
Off-piste skiing
Off-piste snowboarding
Snowshoeing
Mountaineering
Other type of sport
Fatalities Ø 2000–2012: 23 1 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.G.20
Distribution of fatal mountain sports accidents, by accident circum-stances (location of accident: Switzerland), Ø 2000–20121
82%
3%
3%2%
5%5%
Fall
Avalanche/snow slab
Rockfall
Fall into a crevasse
Other accident circumstances
Unknown
Fatalities Ø 2000–2012: 83 1 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.G.21
Fatal mountain sports accidents, by type of sport and organisation (accident location: Switzerland), ∑ 2000–20121
518
355
5913
22
27
26
47
29
4
2 0
100
200
300
400
500
600
Mountain hiking Mountaineering Climbing Other mountainsport
Not institutionally organised Institutionally organised Unknown
Source: bfu, statistics on fatal sports accidents USP.G.24
1 These figures are based on the Swiss population and foreign visitors.
1 These figures are based on the Swiss population and foreign visitors.
SP, S. 40, 41, 42
Fatalities in off-piste snowsports, by type of sport and accident circumstances, ∑ 2000–20121
143
73
22 21
24
19
233
23
9
9
2
9
11
5
1
2
3
3
2
0
50
100
150
200
Ski touring Off-piste skiing Off-piste snow-boarding
Snow-shoeing
Avalanche/ snow slab Fall Fall into a crevasseOther accident circumstance Unknown
Source: bfu, statistics on fatal sports accidents USP.G.25
Development of drowning accidents, by country of residence (location of accident: Switzerland), 2000–2012
3944
36
61
33
4238 38
28 3036 33
47
4
8
6
15
5
89
5
3
106
7
8
0
10
20
30
40
50
60
70
80
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Resident in Switzerland Resident outside Switzerland
Source: bfu, statistics on fatal sports accidents USP.G.15
Share of fatalities in avalanche accidents by type of sport (accident in Switzerland), Ø 2000–20121
48%
25%
7%
7%
7%5%
Ski touring
Off-piste skiing
Off-piste snowboarding
Snowshoeing
Mountaineering
Other type of sport
Fatalities Ø 2000–2012: 23 1 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.G.20
Distribution of fatal mountain sports accidents, by accident circum-stances (location of accident: Switzerland), Ø 2000–20121
82%
3%
3%2%
5%5%
Fall
Avalanche/snow slab
Rockfall
Fall into a crevasse
Other accident circumstances
Unknown
Fatalities Ø 2000–2012: 83 1 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.G.21
Fatal mountain sports accidents, by type of sport and organisation (accident location: Switzerland), ∑ 2000–20121
518
355
5913
22
27
26
47
29
4
2 0
100
200
300
400
500
600
Mountain hiking Mountaineering Climbing Other mountainsport
Not institutionally organised Institutionally organised Unknown
Source: bfu, statistics on fatal sports accidents USP.G.24
1 These figures are based on the Swiss population and foreign visitors.
1 These figures are based on the Swiss population and foreign visitors.
Spo
rt
42 Sports Avalancheaccidents bfu–STATUS2013
Sp
ort
s– A
ccid
ents
Avalanche accidents
SP, S. 40, 41, 42
Fatalities in off-piste snowsports, by type of sport and accident circumstances, ∑ 2000–20121
143
73
22 21
24
19
233
23
9
9
2
9
11
5
1
2
3
3
2
0
50
100
150
200
Ski touring Off-piste skiing Off-piste snow-boarding
Snow-shoeing
Avalanche/ snow slab Fall Fall into a crevasseOther accident circumstance Unknown
Source: bfu, statistics on fatal sports accidents USP.G.25
Development of drowning accidents, by country of residence (location of accident: Switzerland), 2000–2012
3944
36
61
33
4238 38
28 3036 33
47
4
8
6
15
5
89
5
3
106
7
8
0
10
20
30
40
50
60
70
80
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Resident in Switzerland Resident outside Switzerland
Source: bfu, statistics on fatal sports accidents USP.G.15
Share of fatalities in avalanche accidents by type of sport (accident in Switzerland), Ø 2000–20121
48%
25%
7%
7%
7%5%
Ski touring
Off-piste skiing
Off-piste snowboarding
Snowshoeing
Mountaineering
Other type of sport
Fatalities Ø 2000–2012: 23 1 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.G.20
Distribution of fatal mountain sports accidents, by accident circum-stances (location of accident: Switzerland), Ø 2000–20121
82%
3%
3%2%
5%5%
Fall
Avalanche/snow slab
Rockfall
Fall into a crevasse
Other accident circumstances
Unknown
Fatalities Ø 2000–2012: 83 1 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.G.21
Fatal mountain sports accidents, by type of sport and organisation (accident location: Switzerland), ∑ 2000–20121
518
355
5913
22
27
26
47
29
4
2 0
100
200
300
400
500
600
Mountain hiking Mountaineering Climbing Other mountainsport
Not institutionally organised Institutionally organised Unknown
Source: bfu, statistics on fatal sports accidents USP.G.24
1 These figures are based on the Swiss population and foreign visitors.
1 These figures are based on the Swiss population and foreign visitors.
SP, S. 40, 41, 42
Fatalities in off-piste snowsports, by type of sport and accident circumstances, ∑ 2000–20121
143
73
22 21
24
19
233
23
9
9
2
9
11
5
1
2
3
3
2
0
50
100
150
200
Ski touring Off-piste skiing Off-piste snow-boarding
Snow-shoeing
Avalanche/ snow slab Fall Fall into a crevasseOther accident circumstance Unknown
Source: bfu, statistics on fatal sports accidents USP.G.25
Development of drowning accidents, by country of residence (location of accident: Switzerland), 2000–2012
3944
36
61
33
4238 38
28 3036 33
47
4
8
6
15
5
89
5
3
106
7
8
0
10
20
30
40
50
60
70
80
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Resident in Switzerland Resident outside Switzerland
Source: bfu, statistics on fatal sports accidents USP.G.15
Share of fatalities in avalanche accidents by type of sport (accident in Switzerland), Ø 2000–20121
48%
25%
7%
7%
7%5%
Ski touring
Off-piste skiing
Off-piste snowboarding
Snowshoeing
Mountaineering
Other type of sport
Fatalities Ø 2000–2012: 23 1 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.G.20
Distribution of fatal mountain sports accidents, by accident circum-stances (location of accident: Switzerland), Ø 2000–20121
82%
3%
3%2%
5%5%
Fall
Avalanche/snow slab
Rockfall
Fall into a crevasse
Other accident circumstances
Unknown
Fatalities Ø 2000–2012: 83 1 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.G.21
Fatal mountain sports accidents, by type of sport and organisation (accident location: Switzerland), ∑ 2000–20121
518
355
5913
22
27
26
47
29
4
2 0
100
200
300
400
500
600
Mountain hiking Mountaineering Climbing Other mountainsport
Not institutionally organised Institutionally organised Unknown
Source: bfu, statistics on fatal sports accidents USP.G.24
1 These figures are based on the Swiss population and foreign visitors.
1 These figures are based on the Swiss population and foreign visitors.
Fatalities in avalanche accidents, by types of sport, age, gender and provenance, (accident location: Switzerland) ∑ 2000–2012
Ski touring
Off-piste skiing
Off-piste snowboarding
Snow-shoeing
Mountai-neering
Hiking Ice climbing
Alpine skiing
Snowboard-ing tours
Angling Total
Age0–9 0 1 0 1 0 0 0 1 0 0 310–19 1 11 5 0 0 1 2 0 0 0 2020–29 16 17 11 2 12 2 0 0 1 0 6130–39 29 21 6 6 5 0 2 0 1 0 7040–49 50 12 0 6 4 0 0 1 0 0 7350–59 32 8 0 2 0 1 0 0 0 0 4360–69 11 1 0 4 0 0 0 1 0 0 1770+ 2 0 0 0 0 2 0 0 0 1 5Unknown 2 2 0 0 0 0 0 0 0 0 4
GenderMale 120 62 19 13 20 4 3 3 2 1 247Female 23 10 3 8 1 2 1 0 0 0 48Unknown 0 1 0 0 0 0 0 0 0 0 1
ProvenanceSwitzerland 96 41 14 9 14 3 1 1 1 1 181Foreign Country
47 32 8 12 7 3 3 2 1 0 115
Total 143 73 22 21 21 6 4 3 2 1 296
Source: bfu, statistics on fatal sports accidents USP.T.28
Development of fatal avalanche accidents, by type of sport (accident location: Switzerland), 2000–20121
Year Ski touring Off-piste skiing
Off-piste snowboarding
Snowshoeing Mountain-eering
Mountain hiking
Ice climbing
Downhill skiing
Snowboard touring
Angling Total
2000 4 8 0 0 2 0 0 1 0 0 152005 12 3 3 2 0 0 2 0 0 0 222006 5 11 5 2 0 1 0 0 0 0 242007 10 6 0 0 6 1 0 0 0 0 232008 3 4 2 2 0 1 1 1 1 0 152009 10 7 1 5 0 0 0 0 0 0 232010 25 1 2 1 0 1 0 0 0 0 302011 18 3 0 5 0 2 0 1 0 0 292012 11 4 1 0 1 0 0 0 0 0 171 These figures refer to the Swiss population and foreign visitors.
Source: bfu, statistics on fatal sports accidents USP.T.41
bfu–STATUS2013 Sports – Accidents Transportation of people injured in winter sports 43
Transportation of people injured in winter sports
Share of persons injured when skiing and snowboarding, by age and gender (loc. of accident: Switzerland), winter season 2012/131
Age Skiing SnowboardingMale Female Total Male Female Total
0–9 4 3 7 1 0 110–14 8 7 15 17 14 3115–19 4 4 8 15 12 2720–29 5 5 10 13 10 2330+ 28 32 60 12 6 18Total 49 51 100 58 42 1001 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on the transportation of people injured in winter sports USP.T.20
Share of persons injured when skiing, by accident location and cause (loc. of accident: Switzerland), winter season 2012/131
Cause of accident
Piste Off-piste
Snowpark Other accident location
Total
Accident after a jump (not invol-ving others)
8 22 73 8 12
Accident without jump (not invol-ving others)
83 73 24 80 79
Collision with a person
8 2 2 5 7
Collision with an object
1 3 1 7 2
Total 100 100 100 100 1001 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on the transportation of people injured in winter sports USP.T.18
Share of persons injured when snowboarding, by accident location and cause (loc. of accident: Switzerland), winter season 2012/131
Cause of accident
Piste Off-piste Snowpark Other accident location
Total
Accident after a jump (not invol-ving others)
7 45 79 5 20
Accident without jump (not invol-ving others)
89 40 18 87 76
Collision with a person
3 9 1 3 3
Collision with an object
1 6 2 5 1
Total 100 100 100 100 1001 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on the transportation of people injured in winter sports USP.T.19
Share of persons injured in winter sports, by type of rescue transport1 (loc. of accident: Switzerland), winter season 2012/132
Means of transport Skiing Snow-boarding
Other type of winter sport
Total
Rescue sled 55 46 45 53Motor sled 26 31 19 27Ambulance 26 26 34 26Cablecar 21 25 17 21Helicopter 18 14 18 17Snow groomer 0 0 1 0Other means of transport 8 8 10 8No transport 2 3 4 2Total 156 153 148 1551 Several means of transport possible per injured person2 These figures are based on the Swiss population and foreign visitors.
Source: bfu, statistics on the transportation of people injured in winter sports USP.T.21Share of people injured in snowsports, by accident location and type of sport (loc. of accident: Switzerland), winter season 2009–20131,2
Piste Off-piste Snowpark Other accident location
Total
Skiing2009/10 83 3 4 10 1002010/11 84 3 5 8 1002011/12 82 3 6 9 1002012/13 84 3 5 8 100
Snowboarding2009/10 77 3 13 7 1002010/11 73 3 18 6 1002011/12 71 3 19 7 1002012/13 74 3 16 7 100
Other type of snowsport2009/10 22 2 1 75 1002010/11 20 2 2 76 1002011/12 20 2 1 77 1002012/13 22 2 2 74 1001 People recorded: skiing 20,167, snowboarding 5,717, other type of snowsport 1,6792 These figures refer to the Swiss population and foreign visitors.
Source: bfu, statistics on the transport of people injured in snowsports USP.T.43
Development of share of injured people in snowsports, by types of sport, (loc. of accident: Switzerland), winter seasons, 1990–20131
Year Skiing Snowboarding Other type of winter
sport1990/91 92 5 41995/96 76 20 42000/01 65 27 82005/06 60 30 92010/11 70 23 72011/12 74 21 62012/13 74 20 61 These figures are based on the Swiss population and foreign visitors
Source: bfu, statitics on the transp. of people injured in winter sports USP.T.42
Spo
rts
– A
ccid
ents
44 Sports – Accidents Snowsports bfu–STATUS2013
Snowsports
Injury localisation in skiing (per 100 people injured), by age (location of accident: Switzerland), winter season Ø 2002–20131,2
Injury localisation 0–9 10–14 15–19 20–29 30+ TotalHead/face/neck 12 15 20 14 15 15Trunk/spinal column 8 14 13 12 11 11Shoulder/upper arm 6 13 16 19 23 19Elbow/lower arm 3 4 4 2 1 2Wrist/hand 4 8 7 4 3 4Hip/thigh 8 6 6 4 7 7Knee 23 27 31 41 38 35Calf/ankle/foot 42 23 14 13 13 17Total 106 110 111 109 111 1101 People recorded: skiing 20,1672 These figures refer to the Swiss population and foreign visitors.
Source: bfu, statistics on the transportation of people injured in winter sports USP.T.06
Injury localisation in snowboarding (per 100 people injured), by age (location of accident: Switzerland), winter season Ø 2002–20131,2
Injury localisation 0–9 10–14 15–19 20–29 30+ TotalHead/face/neck 15 14 21 20 18 18Trunk/spinal column 20 13 17 15 16 15Shoulder/upper arm 14 17 24 33 31 25Elbow/lower arm 15 16 9 9 7 11Wrist/hand 18 30 19 11 15 20Hip/thigh 1 3 4 4 3 3Knee 17 8 11 11 9 10Calf/ankle/foot 10 9 8 9 13 10Total 110 110 113 112 112 1121 People recorded: snowboarding 5,7172 These figures refer to the Swiss population and foreign visitors.
Source: bfu, statistics on the transportation of people injured in winter sports USP.T.07
Develop. in the share of collisions with people in winter sports (per 100 people inj.), by type of sport (loc. of acc.: CH), winter season 2005–20131,2
Season Skiing Snow-boarding
Other winter sport
Total
2005/06 7 4 5 6
2006/07 7 3 1 52007/08 7 6 3 72008/09 7 4 7 72009/10 6 4 6 62010/11 9 4 6 72011/12 7 4 3 62012/13 8 4 5 71,2 People recorded and reference to figures: q.v. table USP.T.08 above
Source: bfu, stat. on the transportation of people injured in winter sports USP.T.09
Development in the share of head injuries in winter sports (per 100 peo-ple inj.), by type of sport (loc. of acc.: CH), winter season 2005–20131,2
Season Skiing Snow-boarding
Other winter sport
Total
2005/06 13 16 11 142006/07 17 15 14 162007/08 16 18 15 162008/09 13 17 10 142009/10 16 17 12 162010/11 15 19 15 162011/12 13 16 16 142012/13 14 17 14 141 People recorded: skiing 20,167, snowboarding 5,171, other winter sport 1,679 2 These figures refer to the Swiss population and foreign visitors.
Source: bfu, stat. on the transportation of people injured in winter sports USP.T.08
Helmet-wearing rates when tobogganing, by age, 2013
50
57
75
64
38
29
3538
28
0%
10%
20%
30%
40%
50%
60%
70%
80%
Total 0–6 7–12 13–17 18–25 26–30 31–45 46–64 65+
SP, S. 44, 45
Share of fatalities in winter sports, by cause of accident (location of accident: Switzerland), Ø 2008–2012
54%
24%
9%
6%3% 4%
Avalanche Fall from a height Fall on level ground
Collision with object Collision with person Other
Fatalities Ø 2008–2012: 41 (Resident in Switzerland and outside Switzerland)
Source: bfu, statistics on fatal sports accidents USP.G.07.1
Share of fatalities in winter sports, by type of sport (location of accident: Switzerland), Ø 2008–2012
41%
19%
15%
9%
16%
Skiing tours Off-piste skiing Alpine skiing
Off-piste snowboarding Other winter sports
Source: bfu, statistics on fatal sports accidents USP.G.07.2
Fatalities Ø 2008–2012: 41 (Resident in Switzerland and outside Switzerland)
Development of helmet-wearing rates in winter sports in German-speaking Switzerland, by age, 2002–2013
0%
20%
40%
60%
80%
100%
2002
/03
2003
/04*
2004
/05
2005
/06
2006
/07
2007
/08
2008
/09
2009
/10
2010
/11
2011
/12
2012
/13*
*
0–17 18–25 26–45 46–64 65+ Total
*No data available. Mean value from adjacent seasons used. ** People interviewed (sample) 2013: 5381
Source: bfu, Survey on personal protective equipment in winter sports VSP.G.12 Source: bfu, Survey on personal protective equipment in winter sports VSP.G.13
People interviewed (sample) 2013: 2657
Helmet-wearing rates when tobogganing, by age, 2013
50
57
75
64
38
29
3538
28
0%
10%
20%
30%
40%
50%
60%
70%
80%
Total 0–6 7–12 13–17 18–25 26–30 31–45 46–64 65+
SP, S. 44, 45
Share of fatalities in winter sports, by cause of accident (location of accident: Switzerland), Ø 2008–2012
54%
24%
9%
6%3% 4%
Avalanche Fall from a height Fall on level ground
Collision with object Collision with person Other
Fatalities Ø 2008–2012: 41 (Resident in Switzerland and outside Switzerland)
Source: bfu, statistics on fatal sports accidents USP.G.07.1
Share of fatalities in winter sports, by type of sport (location of accident: Switzerland), Ø 2008–2012
41%
19%
15%
9%
16%
Skiing tours Off-piste skiing Alpine skiing
Off-piste snowboarding Other winter sports
Source: bfu, statistics on fatal sports accidents USP.G.07.2
Fatalities Ø 2008–2012: 41 (Resident in Switzerland and outside Switzerland)
Development of helmet-wearing rates in winter sports in German-speaking Switzerland, by age, 2002–2013
0%
20%
40%
60%
80%
100%
2002
/03
2003
/04*
2004
/05
2005
/06
2006
/07
2007
/08
2008
/09
2009
/10
2010
/11
2011
/12
2012
/13*
*
0–17 18–25 26–45 46–64 65+ Total
*No data available. Mean value from adjacent seasons used. ** People interviewed (sample) 2013: 5381
Source: bfu, Survey on personal protective equipment in winter sports VSP.G.12 Source: bfu, Survey on personal protective equipment in winter sports VSP.G.13
People interviewed (sample) 2013: 2657
bfu–STATUS2013 Sports – Behaviour and attitudes Snowsports 45
Development of helmet-wearing rates in winter sports, by age, in percent, 2002–2013
Season 0–17 18–25 26–45 46–64 65+ Total2002/03 44 14 6 1 0 162004/05 62 25 16 11 11 302005/06 73 39 29 20 15 422006/07 79 45 39 31 27 522007/08 87 57 49 44 31 582008/09 90 60 57 54 53 652009/10 95 76 67 69 66 762010/11 96 72 76 74 69 812011/12 97 84 77 81 76 842012/131 98 89 82 82 84 871 People recorded (sample) 2013: 5,381
Source: bfu, survey on personal protective equipment in winter sports VSP.T.10.1
Development of protective equipment behaviour in winter sports, in percent, 2002–2013
Season Standard spec-tacles, safety or snowsports
goggles
Back protection/protective
jacket
Test and binding
adjustment by an expert
Wrist protec-
tion
Skiing2002/03 … 2 52 …2004/05 95 3 47 …2006/07 96 7 50 …2007/08 93 6 47 …2008/09 97 13 … …2009/10 97 13 59 …2010/11 … 12 … …2011/12 … 14 … …2012/13* … 11 … …
Snowboarding2002/03 … 7 … 372004/05 93 21 … 402006/07 90 38 … 422007/08 90 41 … 392008/09 98 38 … 362009/10 99 49 … 272010/11 … 40 … …2011/12 … 44 … 332012/13* … 39 … 31 *People recorded (sample) 2013: 5,381
Source: bfu, Survey on personal protective equipment in winter sports VSP.T.11
Development of helmet-wearing rates in winter sports, by gender, region and type of sport, in percent, 2002–2013
Season Male Female German-sp. Switzerland
French-sp. Switzerland
Skiing Snow-boarding
2002/03 17 14 17 13 14 20
2004/05 32 27 32 24 28 37
2005/06 43 40 42 40 40 49
2006/07 52 51 55 40 49 62
2007/08 58 59 63 45 55 70
2008/09 63 68 72 46 63 71
2009/10 74 78 81 56 75 79
2010/11 79 83 85 67 80 82
2011/12 83 87 89 71 84 84
2012/13* 87 88 91 76 87 89
*People recorded (sample) 2013: 5,381
Source: bfu, survey on personal protective equipment in winter sports VSP.T.10.2
Helmet-wearing rates when tobogganing, by age, 2013
50
57
75
64
38
29
3538
28
0%
10%
20%
30%
40%
50%
60%
70%
80%
Total 0–6 7–12 13–17 18–25 26–30 31–45 46–64 65+
SP, S. 44, 45
Share of fatalities in winter sports, by cause of accident (location of accident: Switzerland), Ø 2008–2012
54%
24%
9%
6%3% 4%
Avalanche Fall from a height Fall on level ground
Collision with object Collision with person Other
Fatalities Ø 2008–2012: 41 (Resident in Switzerland and outside Switzerland)
Source: bfu, statistics on fatal sports accidents USP.G.07.1
Share of fatalities in winter sports, by type of sport (location of accident: Switzerland), Ø 2008–2012
41%
19%
15%
9%
16%
Skiing tours Off-piste skiing Alpine skiing
Off-piste snowboarding Other winter sports
Source: bfu, statistics on fatal sports accidents USP.G.07.2
Fatalities Ø 2008–2012: 41 (Resident in Switzerland and outside Switzerland)
Development of helmet-wearing rates in winter sports in German-speaking Switzerland, by age, 2002–2013
0%
20%
40%
60%
80%
100%
2002
/03
2003
/04*
2004
/05
2005
/06
2006
/07
2007
/08
2008
/09
2009
/10
2010
/11
2011
/12
2012
/13*
*
0–17 18–25 26–45 46–64 65+ Total
*No data available. Mean value from adjacent seasons used. ** People interviewed (sample) 2013: 5381
Source: bfu, Survey on personal protective equipment in winter sports VSP.G.12 Source: bfu, Survey on personal protective equipment in winter sports VSP.G.13
People interviewed (sample) 2013: 2657
Helmet-wearing rates when tobogganing, by age, 2013
50
57
75
64
38
29
3538
28
0%
10%
20%
30%
40%
50%
60%
70%
80%
Total 0–6 7–12 13–17 18–25 26–30 31–45 46–64 65+
SP, S. 44, 45
Share of fatalities in winter sports, by cause of accident (location of accident: Switzerland), Ø 2008–2012
54%
24%
9%
6%3% 4%
Avalanche Fall from a height Fall on level ground
Collision with object Collision with person Other
Fatalities Ø 2008–2012: 41 (Resident in Switzerland and outside Switzerland)
Source: bfu, statistics on fatal sports accidents USP.G.07.1
Share of fatalities in winter sports, by type of sport (location of accident: Switzerland), Ø 2008–2012
41%
19%
15%
9%
16%
Skiing tours Off-piste skiing Alpine skiing
Off-piste snowboarding Other winter sports
Source: bfu, statistics on fatal sports accidents USP.G.07.2
Fatalities Ø 2008–2012: 41 (Resident in Switzerland and outside Switzerland)
Development of helmet-wearing rates in winter sports in German-speaking Switzerland, by age, 2002–2013
0%
20%
40%
60%
80%
100%
2002
/03
2003
/04*
2004
/05
2005
/06
2006
/07
2007
/08
2008
/09
2009
/10
2010
/11
2011
/12
2012
/13*
*
0–17 18–25 26–45 46–64 65+ Total
*No data available. Mean value from adjacent seasons used. ** People interviewed (sample) 2013: 5381
Source: bfu, Survey on personal protective equipment in winter sports VSP.G.12 Source: bfu, Survey on personal protective equipment in winter sports VSP.G.13
People interviewed (sample) 2013: 2657
Spo
rt
46 Sports – Behaviour and attitudes Self-reportedmodesofbehaviour bfu–STATUS2013
Spo
rts
– B
ehav
iou
r an
d a
ttit
ud
es Self-reported modes of behaviour
SP, S. 46
Spontaneous mention of tobogganing rules, by frequency of going tobogganing, 2013
50
39
29
13
12
9
8
5
5
3
2
34
23
22
13
5
7
6
3
3
2
3
0% 20% 40% 60%
Match speed and method to skill level
Wear a helmet
Show consideration to others
Observe markings and signs
Overtake at a distance
Respect the track of the person in front
Do not travel headfirst
Stop at the edge, do not linger in narrowspots without a clear view
Do not attach toboggans to each other
Look behind you before entering the pisteand setting off
Use the walkways at the edge to ascendand descend
Goes tobogganing at least occasionally Never goes tobogganingPeople interviewed (sample): 1013
Source: bfu, population survey ESP.G.18
Assessment of people's tobogganing skills, 2013
8
7
9
7
9
32
8
5
32
43
32
32
18
46
44
23
35
38
39
32
26
18
37
35
13
8
13
14
20
2
8
17
13
4
7
14
27
2
3
21
0% 20% 40% 60% 80% 100%
Total
15–29
30–44
45–59
75–85
Often goes tobogganing
Occasionally goes tobogganing
Never goes tobogganing
Highly skilled Skilled Average skills Not very skilled Not skilled at all
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.20
Spontaneous mention of tobogganing rules, 2013
40
30
25
13
8
8
6
4
4
2
2
0% 20% 40% 60%
Match speed and method to skill level
Wear a helmet
Show consideration to others
Observe markings and signs
Overtake at a distance
Respect the track of the person in front
Do not travel headfirst
Stop at the edge, do not linger in narrowspots without a clear view
Do not attach toboggans to each other
Look behind you before entering the pisteand setting off
Use the walkways at the edge to ascendand descend
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.19
Assessment of the risk of injury while tobogganing, 2013
19
20
20
20
15
19
31
18
18
51
55
56
49
48
43
41
55
50
28
24
22
29
37
33
28
26
29
2
2
2
3
1
5
-
2
3
0% 20% 40% 60% 80% 100%
Total
15–29
30–44
45–59
60–74
75–85
Often goes tobogganing
Occasionally goes tobogganing
Never goes tobogganing
Very high Fairly high Fairly low Very low
Importance of wearing a helmet when tobogganing, by age, 2013
35
43
42
44
30
48
42
40
41
49
9
11
15
13
14
9
4
4
2
6
0% 20% 40% 60% 80% 100%
75–85
60–74
45–59
30–44
15–29
Very important Fairly important Fairly unimportant Not important at all
Importance of wearing a helmet when tobogganing, by frequency and language area, 2013
39
39
39
41
31
57
44
43
44
42
49
36
13
14
12
12
18
7
4
4
5
5
2
0% 20% 40% 60% 80% 100%
Total
Goes tobogganing at least occasionally
Never goes tobogganing
German-speaking Switzerland
French-speaking Switzerland
Ticino
Very important Fairly important Fairly unimportant Not important at all
Source: bfu, population survey ESP.G.21
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.23 Source: bfu, population survey ESP.G.22
People interviewed (sample): 1013 People interviewed (sample): 1013
SP, S. 46
Spontaneous mention of tobogganing rules, by frequency of going tobogganing, 2013
50
39
29
13
12
9
8
5
5
3
2
34
23
22
13
5
7
6
3
3
2
3
0% 20% 40% 60%
Match speed and method to skill level
Wear a helmet
Show consideration to others
Observe markings and signs
Overtake at a distance
Respect the track of the person in front
Do not travel headfirst
Stop at the edge, do not linger in narrowspots without a clear view
Do not attach toboggans to each other
Look behind you before entering the pisteand setting off
Use the walkways at the edge to ascendand descend
Goes tobogganing at least occasionally Never goes tobogganingPeople interviewed (sample): 1013
Source: bfu, population survey ESP.G.18
Assessment of people's tobogganing skills, 2013
8
7
9
7
9
32
8
5
32
43
32
32
18
46
44
23
35
38
39
32
26
18
37
35
13
8
13
14
20
2
8
17
13
4
7
14
27
2
3
21
0% 20% 40% 60% 80% 100%
Total
15–29
30–44
45–59
75–85
Often goes tobogganing
Occasionally goes tobogganing
Never goes tobogganing
Highly skilled Skilled Average skills Not very skilled Not skilled at all
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.20
Spontaneous mention of tobogganing rules, 2013
40
30
25
13
8
8
6
4
4
2
2
0% 20% 40% 60%
Match speed and method to skill level
Wear a helmet
Show consideration to others
Observe markings and signs
Overtake at a distance
Respect the track of the person in front
Do not travel headfirst
Stop at the edge, do not linger in narrowspots without a clear view
Do not attach toboggans to each other
Look behind you before entering the pisteand setting off
Use the walkways at the edge to ascendand descend
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.19
Assessment of the risk of injury while tobogganing, 2013
19
20
20
20
15
19
31
18
18
51
55
56
49
48
43
41
55
50
28
24
22
29
37
33
28
26
29
2
2
2
3
1
5
-
2
3
0% 20% 40% 60% 80% 100%
Total
15–29
30–44
45–59
60–74
75–85
Often goes tobogganing
Occasionally goes tobogganing
Never goes tobogganing
Very high Fairly high Fairly low Very low
Importance of wearing a helmet when tobogganing, by age, 2013
35
43
42
44
30
48
42
40
41
49
9
11
15
13
14
9
4
4
2
6
0% 20% 40% 60% 80% 100%
75–85
60–74
45–59
30–44
15–29
Very important Fairly important Fairly unimportant Not important at all
Importance of wearing a helmet when tobogganing, by frequency and language area, 2013
39
39
39
41
31
57
44
43
44
42
49
36
13
14
12
12
18
7
4
4
5
5
2
0% 20% 40% 60% 80% 100%
Total
Goes tobogganing at least occasionally
Never goes tobogganing
German-speaking Switzerland
French-speaking Switzerland
Ticino
Very important Fairly important Fairly unimportant Not important at all
Source: bfu, population survey ESP.G.21
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.23 Source: bfu, population survey ESP.G.22
People interviewed (sample): 1013 People interviewed (sample): 1013
SP, S. 46
Spontaneous mention of tobogganing rules, by frequency of going tobogganing, 2013
50
39
29
13
12
9
8
5
5
3
2
34
23
22
13
5
7
6
3
3
2
3
0% 20% 40% 60%
Match speed and method to skill level
Wear a helmet
Show consideration to others
Observe markings and signs
Overtake at a distance
Respect the track of the person in front
Do not travel headfirst
Stop at the edge, do not linger in narrowspots without a clear view
Do not attach toboggans to each other
Look behind you before entering the pisteand setting off
Use the walkways at the edge to ascendand descend
Goes tobogganing at least occasionally Never goes tobogganingPeople interviewed (sample): 1013
Source: bfu, population survey ESP.G.18
Assessment of people's tobogganing skills, 2013
8
7
9
7
9
32
8
5
32
43
32
32
18
46
44
23
35
38
39
32
26
18
37
35
13
8
13
14
20
2
8
17
13
4
7
14
27
2
3
21
0% 20% 40% 60% 80% 100%
Total
15–29
30–44
45–59
75–85
Often goes tobogganing
Occasionally goes tobogganing
Never goes tobogganing
Highly skilled Skilled Average skills Not very skilled Not skilled at all
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.20
Spontaneous mention of tobogganing rules, 2013
40
30
25
13
8
8
6
4
4
2
2
0% 20% 40% 60%
Match speed and method to skill level
Wear a helmet
Show consideration to others
Observe markings and signs
Overtake at a distance
Respect the track of the person in front
Do not travel headfirst
Stop at the edge, do not linger in narrowspots without a clear view
Do not attach toboggans to each other
Look behind you before entering the pisteand setting off
Use the walkways at the edge to ascendand descend
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.19
Assessment of the risk of injury while tobogganing, 2013
19
20
20
20
15
19
31
18
18
51
55
56
49
48
43
41
55
50
28
24
22
29
37
33
28
26
29
2
2
2
3
1
5
-
2
3
0% 20% 40% 60% 80% 100%
Total
15–29
30–44
45–59
60–74
75–85
Often goes tobogganing
Occasionally goes tobogganing
Never goes tobogganing
Very high Fairly high Fairly low Very low
Importance of wearing a helmet when tobogganing, by age, 2013
35
43
42
44
30
48
42
40
41
49
9
11
15
13
14
9
4
4
2
6
0% 20% 40% 60% 80% 100%
75–85
60–74
45–59
30–44
15–29
Very important Fairly important Fairly unimportant Not important at all
Importance of wearing a helmet when tobogganing, by frequency and language area, 2013
39
39
39
41
31
57
44
43
44
42
49
36
13
14
12
12
18
7
4
4
5
5
2
0% 20% 40% 60% 80% 100%
Total
Goes tobogganing at least occasionally
Never goes tobogganing
German-speaking Switzerland
French-speaking Switzerland
Ticino
Very important Fairly important Fairly unimportant Not important at all
Source: bfu, population survey ESP.G.21
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.23 Source: bfu, population survey ESP.G.22
People interviewed (sample): 1013 People interviewed (sample): 1013
SP, S. 46
Spontaneous mention of tobogganing rules, by frequency of going tobogganing, 2013
50
39
29
13
12
9
8
5
5
3
2
34
23
22
13
5
7
6
3
3
2
3
0% 20% 40% 60%
Match speed and method to skill level
Wear a helmet
Show consideration to others
Observe markings and signs
Overtake at a distance
Respect the track of the person in front
Do not travel headfirst
Stop at the edge, do not linger in narrowspots without a clear view
Do not attach toboggans to each other
Look behind you before entering the pisteand setting off
Use the walkways at the edge to ascendand descend
Goes tobogganing at least occasionally Never goes tobogganingPeople interviewed (sample): 1013
Source: bfu, population survey ESP.G.18
Assessment of people's tobogganing skills, 2013
8
7
9
7
9
32
8
5
32
43
32
32
18
46
44
23
35
38
39
32
26
18
37
35
13
8
13
14
20
2
8
17
13
4
7
14
27
2
3
21
0% 20% 40% 60% 80% 100%
Total
15–29
30–44
45–59
75–85
Often goes tobogganing
Occasionally goes tobogganing
Never goes tobogganing
Highly skilled Skilled Average skills Not very skilled Not skilled at all
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.20
Spontaneous mention of tobogganing rules, 2013
40
30
25
13
8
8
6
4
4
2
2
0% 20% 40% 60%
Match speed and method to skill level
Wear a helmet
Show consideration to others
Observe markings and signs
Overtake at a distance
Respect the track of the person in front
Do not travel headfirst
Stop at the edge, do not linger in narrowspots without a clear view
Do not attach toboggans to each other
Look behind you before entering the pisteand setting off
Use the walkways at the edge to ascendand descend
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.19
Assessment of the risk of injury while tobogganing, 2013
19
20
20
20
15
19
31
18
18
51
55
56
49
48
43
41
55
50
28
24
22
29
37
33
28
26
29
2
2
2
3
1
5
-
2
3
0% 20% 40% 60% 80% 100%
Total
15–29
30–44
45–59
60–74
75–85
Often goes tobogganing
Occasionally goes tobogganing
Never goes tobogganing
Very high Fairly high Fairly low Very low
Importance of wearing a helmet when tobogganing, by age, 2013
35
43
42
44
30
48
42
40
41
49
9
11
15
13
14
9
4
4
2
6
0% 20% 40% 60% 80% 100%
75–85
60–74
45–59
30–44
15–29
Very important Fairly important Fairly unimportant Not important at all
Importance of wearing a helmet when tobogganing, by frequency and language area, 2013
39
39
39
41
31
57
44
43
44
42
49
36
13
14
12
12
18
7
4
4
5
5
2
0% 20% 40% 60% 80% 100%
Total
Goes tobogganing at least occasionally
Never goes tobogganing
German-speaking Switzerland
French-speaking Switzerland
Ticino
Very important Fairly important Fairly unimportant Not important at all
Source: bfu, population survey ESP.G.21
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.23 Source: bfu, population survey ESP.G.22
People interviewed (sample): 1013 People interviewed (sample): 1013
SP, S. 46
Spontaneous mention of tobogganing rules, by frequency of going tobogganing, 2013
50
39
29
13
12
9
8
5
5
3
2
34
23
22
13
5
7
6
3
3
2
3
0% 20% 40% 60%
Match speed and method to skill level
Wear a helmet
Show consideration to others
Observe markings and signs
Overtake at a distance
Respect the track of the person in front
Do not travel headfirst
Stop at the edge, do not linger in narrowspots without a clear view
Do not attach toboggans to each other
Look behind you before entering the pisteand setting off
Use the walkways at the edge to ascendand descend
Goes tobogganing at least occasionally Never goes tobogganingPeople interviewed (sample): 1013
Source: bfu, population survey ESP.G.18
Assessment of people's tobogganing skills, 2013
8
7
9
7
9
32
8
5
32
43
32
32
18
46
44
23
35
38
39
32
26
18
37
35
13
8
13
14
20
2
8
17
13
4
7
14
27
2
3
21
0% 20% 40% 60% 80% 100%
Total
15–29
30–44
45–59
75–85
Often goes tobogganing
Occasionally goes tobogganing
Never goes tobogganing
Highly skilled Skilled Average skills Not very skilled Not skilled at all
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.20
Spontaneous mention of tobogganing rules, 2013
40
30
25
13
8
8
6
4
4
2
2
0% 20% 40% 60%
Match speed and method to skill level
Wear a helmet
Show consideration to others
Observe markings and signs
Overtake at a distance
Respect the track of the person in front
Do not travel headfirst
Stop at the edge, do not linger in narrowspots without a clear view
Do not attach toboggans to each other
Look behind you before entering the pisteand setting off
Use the walkways at the edge to ascendand descend
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.19
Assessment of the risk of injury while tobogganing, 2013
19
20
20
20
15
19
31
18
18
51
55
56
49
48
43
41
55
50
28
24
22
29
37
33
28
26
29
2
2
2
3
1
5
-
2
3
0% 20% 40% 60% 80% 100%
Total
15–29
30–44
45–59
60–74
75–85
Often goes tobogganing
Occasionally goes tobogganing
Never goes tobogganing
Very high Fairly high Fairly low Very low
Importance of wearing a helmet when tobogganing, by age, 2013
35
43
42
44
30
48
42
40
41
49
9
11
15
13
14
9
4
4
2
6
0% 20% 40% 60% 80% 100%
75–85
60–74
45–59
30–44
15–29
Very important Fairly important Fairly unimportant Not important at all
Importance of wearing a helmet when tobogganing, by frequency and language area, 2013
39
39
39
41
31
57
44
43
44
42
49
36
13
14
12
12
18
7
4
4
5
5
2
0% 20% 40% 60% 80% 100%
Total
Goes tobogganing at least occasionally
Never goes tobogganing
German-speaking Switzerland
French-speaking Switzerland
Ticino
Very important Fairly important Fairly unimportant Not important at all
Source: bfu, population survey ESP.G.21
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.23 Source: bfu, population survey ESP.G.22
People interviewed (sample): 1013 People interviewed (sample): 1013
SP, S. 46
Spontaneous mention of tobogganing rules, by frequency of going tobogganing, 2013
50
39
29
13
12
9
8
5
5
3
2
34
23
22
13
5
7
6
3
3
2
3
0% 20% 40% 60%
Match speed and method to skill level
Wear a helmet
Show consideration to others
Observe markings and signs
Overtake at a distance
Respect the track of the person in front
Do not travel headfirst
Stop at the edge, do not linger in narrowspots without a clear view
Do not attach toboggans to each other
Look behind you before entering the pisteand setting off
Use the walkways at the edge to ascendand descend
Goes tobogganing at least occasionally Never goes tobogganingPeople interviewed (sample): 1013
Source: bfu, population survey ESP.G.18
Assessment of people's tobogganing skills, 2013
8
7
9
7
9
32
8
5
32
43
32
32
18
46
44
23
35
38
39
32
26
18
37
35
13
8
13
14
20
2
8
17
13
4
7
14
27
2
3
21
0% 20% 40% 60% 80% 100%
Total
15–29
30–44
45–59
75–85
Often goes tobogganing
Occasionally goes tobogganing
Never goes tobogganing
Highly skilled Skilled Average skills Not very skilled Not skilled at all
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.20
Spontaneous mention of tobogganing rules, 2013
40
30
25
13
8
8
6
4
4
2
2
0% 20% 40% 60%
Match speed and method to skill level
Wear a helmet
Show consideration to others
Observe markings and signs
Overtake at a distance
Respect the track of the person in front
Do not travel headfirst
Stop at the edge, do not linger in narrowspots without a clear view
Do not attach toboggans to each other
Look behind you before entering the pisteand setting off
Use the walkways at the edge to ascendand descend
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.19
Assessment of the risk of injury while tobogganing, 2013
19
20
20
20
15
19
31
18
18
51
55
56
49
48
43
41
55
50
28
24
22
29
37
33
28
26
29
2
2
2
3
1
5
-
2
3
0% 20% 40% 60% 80% 100%
Total
15–29
30–44
45–59
60–74
75–85
Often goes tobogganing
Occasionally goes tobogganing
Never goes tobogganing
Very high Fairly high Fairly low Very low
Importance of wearing a helmet when tobogganing, by age, 2013
35
43
42
44
30
48
42
40
41
49
9
11
15
13
14
9
4
4
2
6
0% 20% 40% 60% 80% 100%
75–85
60–74
45–59
30–44
15–29
Very important Fairly important Fairly unimportant Not important at all
Importance of wearing a helmet when tobogganing, by frequency and language area, 2013
39
39
39
41
31
57
44
43
44
42
49
36
13
14
12
12
18
7
4
4
5
5
2
0% 20% 40% 60% 80% 100%
Total
Goes tobogganing at least occasionally
Never goes tobogganing
German-speaking Switzerland
French-speaking Switzerland
Ticino
Very important Fairly important Fairly unimportant Not important at all
Source: bfu, population survey ESP.G.21
People interviewed (sample): 1013
Source: bfu, population survey ESP.G.23 Source: bfu, population survey ESP.G.22
People interviewed (sample): 1013 People interviewed (sample): 1013
Home and leisureIn the home and leisure sector, around 600,000 people suffer injuries every year and 1,500 die; they fall, injure themselves with tools and equipment, burn them-selves or suffocate. The bfu is convinced that accidents due to constructional defects or faulty technical equipment can be avoided. However, since the major share of responsibility lies with the individual, behaviour-oriented prevention work is vital.
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48 Home and leisure – Accidents Overview bfu–STATUS2013
Overview
Development in the number of people injured in the home and leisure sector, by activity, 2006–2010
Activity 2006 2007 2008 2009 2010On the way to/from work (excl. road traffic)1
Total on the way to/from work (excl. road traffic)
19 640 18 500 18 660 19 790 20 460
Unpaid workTravelling while doing unpaid work
1 310 1 330 1 210 1 240 1 430
Cooking, cleaning work
34 710 32 950 35 080 35 310 36 610
Caring for children, relatives
3 640 3 460 3 570 3 890 4 110
Shopping 3 610 3 530 3 640 4 120 3 560Care/maintenance of home and garden
31 820 31 520 32 670 32 640 33 920
Other DIY activities around the house
22 470 20 780 22 220 22 480 21 730
Other unpaid work 20 200 19 590 19 900 19 540 21 070Total: unpaid work 117 760 113 160 118 290 119 220 122 430
Education, schoolTotal: education, school
21 210 21 210 21 210 21 210 21 210
Leisuretime, gamesTotal: leisuretime, games
68 590 70 030 73 290 79 190 72 770
Basic needsEating, drinking 13 520 14 460 15 660 14 150 14 050Relaxing, sleeping 14 810 16 060 16 160 15 110 16 670Bodycare 9 430 9 370 10 150 9 490 10 550Other basic needs 12 900 13 300 14 290 13 020 13 790
Total: basic needs 50 660 53 190 56 260 51 770 55 060Other activity
Total: other activity 280 210 249 080 260 370 279 010 262 060Total 558 070 525 170 548 080 570 190 553 9901 Accidents not involving vehicles or away from public roads
Source: bfu, revised extrapolation UHF.T.01
Development of the number of people injured in the home and leisure sector, by accident circumstance, 2006–2010
Accident circumstance
2006 2007 2008 2009 2010
Blunt forceAccident involving means of transport
12 890 13 500 13 370 14 460 15 520
Contact with object, animal
43 820 47 820 48 020 46 780 45 520
Contact with person 13 250 13 710 13 630 13 120 13 430Getting trapped, crushed
12 980 13 170 14 090 13 740 13 560
Fall on level ground 170 850 143 440 154 700 169 970 169 620Fall from a height 53 300 51 390 55 830 56 890 52 180Fall on stairs, steps 47 880 48 590 48 450 52 000 49 850Other fall 5 870 5 870 5 870 5 870 5 870Other blunt force 14 100 15 880 15 750 16 370 17 200Total: blunt force 374 940 353 370 369 710 389 200 382 750
Invasive, penetrating forceCutting, scratching, tearing, severing
50 000 48 310 50 650 52 540 48 470
Pricking, piercing 6 250 6 250 6 250 6 250 6 250Bite, by an animal or person
46 120 40 030 41 720 43 330 41 900
Total: invasive, penetrating force
102 370 94 590 98 620 102 120 96 620
Thermal mechanismContact with hot liquid, hot object
4 560 4 750 4 790 4 490 4 220
Other thermal mechanism
3 550 3 550 3 490 3 490 3 300
Total: thermal mechanism
8 110 8 300 8 280 7 980 7 520
Other mechanismsBreathing hazard 4 340 3 750 4 530 3 910 3 720Poisoning, acid burn 13 100 12 880 12 690 12 260 11 600Stress 14 680 14 240 14 780 15 250 15 100Natural influences 1 390 1 260 1 280 1 150 1 110Foreign bodies in the eye, nose, mouth, ear
4 340 3 930 4 060 4 140 4 230
Other mechanisms 34 800 32 850 34 130 34 180 31 340Total: other mechanisms
72 650 68 910 71 470 70 890 67 100
Total 558 070 525 170 548 080 570 190 553 990
Source: bfu, revised extrapolation UHF.T.02
bfu–STATUS2013 Home and leisure – Accidents Age / Gender 49
Age / Gender
HF, S. 49, 50,
Share of fatalities in home and leisure, by cause of accident, 2010
82%
8%
1%1%1% 7%
Falls
Breathing hazards(drowning/suffocation)
Means of land transport
Smoke/fire/flames
Effect of mechanical forces
Other
Share of fatalities in home and leisure, by age, 2010
1%13%
86%
0–16 17–64 65+
Source: BFS, statistics on causes of death UHF.G.05
Source: BFS, statistics on causes of death UHF.G.04
Fatalities 2010: 1734
Fatalities 2010: 1734
People injured in the home and leisure sector, by activity and age, 2010
Activity 0–16 17–64 65+ TotalOn the way to/from work (excl. road traffic)1
Total on the way to/from work (excl. road traffic)
230 20 230 0 20 460
Unpaid workTravelling while doing unpaid work
0 1400 30 1430
Cooking, cleaning work 1540 25750 9320 36610Caring for children, relatives 0 3990 120 4110Shopping 600 490 2470 3560Care/maintenance of home and garden
260 21800 11860 33920
Other DIY activities around the house
0 14720 7010 21730
Other unpaid work 1520 15080 4470 21070Total: unpaid work 3 920 83 230 35 280 122 430
Education, schoolTotal: education, school 17 070 4 140 0 21 210
Leisuretime, gamesTotal: leisuretime, games
51 600 17 620 3 550 72 770
Basic needsEating, drinking 2760 10160 1130 14050Relaxing, sleeping 1710 9810 5150 16670Bodycare 2140 6740 1670 10550Other basic needs 1360 7030 5400 13790Total: basic needs 7 970 33 740 13 350 55 060
Other activityTotal: other activity 61 350 134 800 65 910 262 060Total 142 140 293 760 118 090 553 9901 Accidents not involving vehicles or away from public roads
Source: bfu, revised extrapolation UHF.T.04
People injured in the home and leisure sector, by activity and gender, 2010
Activity Male Female TotalOn the way to/from work (excl. road traffic)1
Total on the way to/from work (excl. road traffic)
11 230 9 230 20 460
Unpaid workTravelling while doing unpaid work
1280 150 1430
Cooking, cleaning work 6380 30230 36610Caring for children, relatives 120 3990 4110Shopping 600 2960 3560Care/maintenance of home and garden
12120 21800 33920
Other DIY activities around the house
17630 4100 21730
Other unpaid work 7540 13530 21070Total: unpaid work 45 670 76 760 122 430
Education, schoolTotal: education, school 10 140 11 070 21 210
Leisuretime, gamesTotal: leisuretime, games
39 590 33 180 72 770
Basic needsEating, drinking 7950 6100 14050Relaxing, sleeping 6430 10240 16670Bodycare 4840 5710 10550Other basic needs 5070 8720 13790Total: basic needs 24 290 30 770 55 060
Other activityTotal: other activity 114 550 147 510 262 060Total 245 470 308 520 553 9901 Accidents not involving vehicles or away from public roads
Source: bfu, revised extrapolation UHF.T.12
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50 Home and leisure – Accidents Age/Gender bfu–STATUS2013
HF, S. 49, 50,
Share of fatalities in home and leisure, by cause of accident, 2010
82%
8%
1%1%1% 7%
Falls
Breathing hazards(drowning/suffocation)
Means of land transport
Smoke/fire/flames
Effect of mechanical forces
Other
Share of fatalities in home and leisure, by age, 2010
1%13%
86%
0–16 17–64 65+
Source: BFS, statistics on causes of death UHF.G.05
Source: BFS, statistics on causes of death UHF.G.04
Fatalities 2010: 1734
Fatalities 2010: 1734
People injured in the home and leisure sector, by accident circumstance and age, 2010
Accident circumstance 0–16 17–64 65+ TotalBlunt force
Accident involving means of transport
4 080 7 950 3 490 15 520
Contact with object, animal 17 730 22 020 5 770 45 520Contact with person 2 930 9 790 710 13 430Getting trapped, crushed 4 320 7 550 1 690 13 560Fall on level ground 41 620 70 450 57 550 169 620Fall from a height 19 290 22 890 10 000 52 180Fall on stairs, steps 7 960 29 750 12 140 49 850Other fall 2 360 1 910 1 600 5 870Other blunt force 3 120 11 990 2 090 17 200Total: blunt force 103 410 184 300 95 040 382 750
Invasive, penetrating forceCutting, scratching, tearing, severing
15 310 28 960 4 200 48 470
Pricking, piercing 1 120 3 840 1 290 6 250Bite, by an animal or person 10 110 25 520 6 270 41 900Total: invasive, penetrating force
26 540 58 320 11 760 96 620
Thermal mechanismContact with hot liquid, hot object
770 3 260 190 4 220
Other thermal mechanism 500 2 570 230 3 300Total: thermal mechanism 1 270 5 830 420 7 520
Other mechanismsBreathing hazard 1 400 1 920 400 3 720Poisoning, acid burn 1 390 9 370 840 11 600Stress 2 580 10 380 2 140 15 100Natural influences 320 590 200 1 110Foreign bodies in the eye, nose, mouth, ear
290 3 560 380 4 230
Other mechanisms 4 940 19 490 6 910 31 340Total: other mechanisms 10 920 45 310 10 870 67 100Total 142 140 293 760 118 090 553 990
Source: bfu, revised extrapolation UHF.T.05
People injured in the home and leisure sector, by accident circumstance and gender, 2010
Accident circumstances Male Female TotalBlunt force
Accident involving means of transport
8 310 7 210 15 520
Contact with object, animal 19 720 25 800 45 520Contact with person 6 820 6 610 13 430Getting trapped, crushed 7 730 5 830 13 560Fall on level ground 63 130 106 490 169 620Fall from a height 32 120 20 060 52 180Fall on stairs, steps 18 270 31 580 49 850Other fall 1 550 4 320 5 870Other blunt force 7 510 9 690 17 200Total: blunt force 165 160 217 590 382 750
Invasive, penetrating forceCutting, scratching, tearing, severing
27 460 21 010 48 470
Pricking, piercing 2 530 3 720 6 250Bite, by an animal or person 14 370 27 530 41 900Total: invasive, penetrating force
44 360 52 260 96 620
Thermal mechanismContact with hot liquid, hot object
940 3 280 4 220
Other thermal mechanism 2 030 1 270 3 300Total: thermal mechanism 2 970 4 550 7 520
Other mechanismsBreathing hazard 1 400 2 320 3 720Poisoning, acid burn 6 650 4 950 11 600Stress 8 590 6 510 15 100Natural influences 910 200 1 110Foreign bodies in the eye, nose, mouth, ear
2 100 2 130 4 230
Other mechanisms 13 330 18 010 31 340Total: other mechanisms 32 980 34 120 67 100Total 245 470 308 520 553 990
Source: bfu, revised extrapolation UHF.T.13
bfu–STATUS2013 Home and leisure – Accidents Age / Gender 51
People injured in the home and leisure sector, by accident location and age, 2010
Accident location 0–16 17–64 65+ TotalPrivate residence
Kitchen 6410 24660 8380 39450Living room, bedroom 21710 26790 15040 63540Bathroom, toilet 2990 8790 4460 16240Indoor staircase 4840 12920 6100 23860Other indoor living area 4900 10430 6570 21900Playground 650 440 250 1340Garden, swimming pool 12890 22530 10220 45640Access road, parking space, garage 4890 10770 4320 19980Other, outdoor living area 2850 13160 4370 20380Other, private residence 60 330 0 390Total: private residence 62 190 130 820 59 710 252 720
Residential home, housing facilitiesResidential home, military facilities 670 6480 1180 8330Medical facilities 2940 2820 540 6300Total: residential home, housing facilities
3 610 9 300 1 720 14 630
Education, schoolSchool, university 7080 3520 190 10790Kindergarten, daycare facilities 1840 0 0 1840Sports complex 2270 610 0 2880Games area, playground 5430 250 0 5680Other educational facilities 2940 1490 110 4540Total: education, school 19 560 5 870 300 25 730
Sports complexesSports ground 1940 1080 130 3150Public swimming pool 780 620 190 1590Snowsports facilities 2390 1540 310 4240Other sports complexes 0 990 140 1130Total: sports complexes 5 110 4 230 770 10 110
Public infrastructurePublic road, cycle track 1580 7950 5280 14810Path, pavement 3560 18300 12000 33860Side road, car park 2450 5250 4180 11880Bus stop, railway station 0 4260 1230 5490Playground 2850 850 0 3700Park 4110 5190 1600 10900Total: public infrastructure 14 550 41 800 24 290 80 640
Commercial surroundingsIndustry, construction, agriculture 460 7310 230 8000Office, business 280 4160 1340 5780Restaurant, hotel 480 6980 2940 10400Total: commercial surroun-dings
1 220 18 450 4 510 24 180
Natural environmentWaters 2800 4400 230 7430Beach, coast, shore/river bank 1960 1390 450 3800Other natural environment 19060 36170 14730 69960Total: natural environment 23 820 41 960 15 410 81 190
Other accident locationTotal: other accident location 12 080 41 330 11 380 64 790Total 142 140 293 760 118 090 553 990
Source: bfu, revised extrapolation UHF.T.11
People injured in the home and leisure sector, by accident location and gender, 2010
Accident location Male Female TotalPrivate residence
Kitchen 11 090 28 360 39 450Living room, bedroom 22 870 40 670 63 540Bathroom, toilet 6 010 10 230 16 240Indoor staircase 9 540 14 320 23 860Other indoor living area 10 250 11 650 21 900Playground 1 090 250 1 340Garden, swimming pool 23 730 21 910 45 640Access road, parking space, garage 11 320 8 660 19 980Other, outdoor living area 6 950 13 430 20 380Other, private residence 60 330 390Total: private residence 102 910 149 810 252 720
Residential home, housing facilitiesResidential home, military facilities 5 400 2 930 8 330Medical facilities 3 290 3 010 6 300Total: residential home, housing facilities
8 690 5 940 14 630
Education, schoolSchool, university 4 660 6 130 10 790Kindergarten, daycare facilities 880 960 1 840Sports complex 480 2 400 2 880Games area, playground 2 350 3 330 5 680Other educational facilities 2 450 2 090 4 540Total: education, school 10 820 14 910 25 730
Sports complexesSportsground 2 670 480 3 150Public swimming pool 930 660 1 590Snowsports facilities 660 3 580 4 240Other sports complexes 990 140 1 130Total: sports complexes 5 250 4 860 10 110
Public infrastructurePublic road, cycle track 5 530 9 280 14 810Path, pavement 15 250 18 610 33 860Side road, car park 5 260 6 620 11 880Bus stop, railway station 810 4 680 5 490Playground 2 200 1 500 3 700Park 7 400 3 500 10 900Total: public infrastructure 36 450 44 190 80 640
Commercial surroundingsIndustry, construction, agriculture 6 200 1 800 8 000Office, business 1 850 3 930 5 780Restaurant, hotel 3 450 6 950 10 400Total: commercial surroun-dings
11 500 12 680 24 180
Natural environmentWaters 2 630 4 800 7 430Beach, coast, shore/river bank 290 3 510 3 800Other natural environment 36 330 33 630 69 960Total: natural environment 39 250 41 940 81 190
Other accident locationTotal: other accident location 30 600 34 190 64 790Total 245 470 308 520 553 990
Source: bfu, revised extrapolation UHF.T.14
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52 Home and leisure – Accidents Injurylocalisation bfu–STATUS2013
Falls
Fatalities from falls, by age and gender, Ø 2006–2010
Age Male Female TotalFatalities
0–60 39 19 5861–70 48 21 6971–80 113 101 21481–90 230 358 58891+ 99 234 333Total 529 733 1 262
Fatalities per 100,000 inhabitants0–60 1 1 161–70 13 5 971–80 50 34 4181–90 249 207 22291+ 853 675 720Total 14 19 17
Source: bfu, updated extrapolation UHF.T.09
People injured in falls, by age and gender, 2010
Age Male Female TotalPeople injured
0–16 36 220 35 010 71 23017–25 7 750 12 450 20 20026–45 18 990 16 910 35 90046–64 32 030 36 870 68 90065+ 20 080 61 210 81 290Total 115 070 162 450 277 520
People injured per 100,000 inhabitants0–16 5 190 5 320 10 51017–25 1 800 2 980 4 78026–45 1 660 1 490 3 15046–64 3 210 3 720 6 93065+ 3 590 8 160 11 750Total 15 450 21 670 37 120
Source: bfu, revised extrapolation UHF.T.10
People injured in falls, by accident location and age, 2010
Accident location 0–16 17–64 65+ TotalPrivate residence
Kitchen 2 390 2 710 4 020 9 120Living room, bedroom 11 570 4 010 10 160 25 740Bathroom, toilet 1 610 5 710 3 610 10 930Indoor staircase 3 920 10 420 5 200 19 540Other indoor living area 800 4 860 4 360 10 020Playground 650 0 250 900Garden, swimming pool 7 250 8 230 6 290 21 770Access road, parking space, garage 2 210 5 440 4 070 11 720Other, outdoor living area 1 100 5 010 3 400 9 510Other, private residence 60 0 0 60Total: private residence 31 560 46 390 41 360 119 310
Residential home, housing facilitiesResidential home, military facilities 0 530 460 990Medical facilities 1 710 1 390 120 3 220Total: residential home, housing facilities
1 710 1 920 580 4 210
Education, schoolSchool, university 2 950 1 740 0 4 690Kindergarten, daycare facilities 810 0 0 810Sports complex 1 130 200 0 1 330Games area, playground 2 180 0 0 2 180Other educational facilities 1 190 0 0 1 190Total: education, school 8 260 1 940 0 10 200
Sports complexesSports ground 1 900 830 0 2 730Public swimming pool 470 620 190 1 280Snowsports facilities 2 390 1 540 310 4 240Other sports complexes 0 700 140 840Total: sports complexes 4 760 3 690 640 9 090
Public infrastructurePublic road, cycle track 1 580 5 720 5 160 12 460Path, pavement 3 560 11 920 10 520 26 000Side road, car park 0 4 610 2 750 7 360Bus stop, railway station 0 2 440 560 3 000Playground 2 020 180 0 2 200Park 990 1 510 1 470 3 970Total: public infrastructure 8 150 26 380 20 460 54 990
Commercial surroundingsIndustry, construction, agriculture 460 3 390 0 3 850Office, business 280 3 810 400 4 490Restaurant, hotel 240 3 510 2 570 6 320Total: commercial surroundings
980 10 710 2 970 14 660
Natural environmentWaters 1 430 2 320 230 3 980Beach, coast, shore/river bank 1 070 570 80 1 720Other natural environment 8 670 12 540 7 900 29 110
Total: natural environment 11 170 15 430 8 210 34 810Other accident location
Total: other accident location 4 640 18 540 7 070 30 250Total 71 230 125 000 81 290 277 520
Source: bfu, revised extrapolation UHF.T.15
bfu–STATUS2013 Home and leisure – Behaviour and attitudes Self-reported modes of behaviour 53
Self-reported modes of behaviour
HF, S. 53
Share of senior citizens (65+), who take fall-prevention measures, 2013
88
87
82
47
28
0% 20% 40% 60% 80% 100%
Doing something to keep fit
Eating the right food
Using technical aids
Getting information on how to avoidfalls
Taking medicaments with a preventiveeffect
Share of people who rate the following causes of falls as important, 2013
65
61
40
27
61
56
45
40
67
65
47
40
74
68
61
62
63
76
66
64
0% 20% 40% 60% 80%
Consumption of substances
Poor lighting conditions
Structural faults in buildings
Poor physical condition
15–29 30–44 45–59 60–74 75+
Source: bfu, population survey EHF.G.13
Source: bfu, population survey EHF.G.06
Assessment of the significance of the causes of falls, 2013
86
85
71
69
66
63
49
42
14
15
29
31
34
37
51
58
0% 20% 40% 60% 80% 100%
Slippery floor or shoes
Not paying attention
Objects scattered about
Being pressed for time
Taking substances
Lack of lighting/poor lighting
Building faults
Lack of physical fitness
More frequent cause Less frequent cause
Source: bfu, population survey EHF.G.05
People interviewed (sample): 1013
Share of senior citizens (65+) who, according to their own statement, "do something to keep fit" to prevent falls, 2013
8891
8591
8489
8389
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
oSource: bfu, population survey EHF.G.14
People interviewed (sample): 205 (only people aged 65–85)
Share of senior citizens (65+) who, according to their own statement, "do something to keep fit" to prevent falls, 2013
8891
8591
8489
8389
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Share of senior citizens (65+) who, according to their own statement, use "aids" (e.g. handrails) to prevent falls, 2013
82 87
79 81 84 86
70
78
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Source: bfu, population survey EHF.G.16 Source: bfu, population survey EHF.G.15
People interviewed (sample): 205 (only people aged 65–85)
People interviewed (sample): 1013
People interviewed (sample): 205 (only people aged 65–85) People interviewed (sample): 205 (only people aged 65–85)
HF, S. 53
Share of senior citizens (65+), who take fall-prevention measures, 2013
88
87
82
47
28
0% 20% 40% 60% 80% 100%
Doing something to keep fit
Eating the right food
Using technical aids
Getting information on how to avoidfalls
Taking medicaments with a preventiveeffect
Share of people who rate the following causes of falls as important, 2013
65
61
40
27
61
56
45
40
67
65
47
40
74
68
61
62
63
76
66
64
0% 20% 40% 60% 80%
Consumption of substances
Poor lighting conditions
Structural faults in buildings
Poor physical condition
15–29 30–44 45–59 60–74 75+
Source: bfu, population survey EHF.G.13
Source: bfu, population survey EHF.G.06
Assessment of the significance of the causes of falls, 2013
86
85
71
69
66
63
49
42
14
15
29
31
34
37
51
58
0% 20% 40% 60% 80% 100%
Slippery floor or shoes
Not paying attention
Objects scattered about
Being pressed for time
Taking substances
Lack of lighting/poor lighting
Building faults
Lack of physical fitness
More frequent cause Less frequent cause
Source: bfu, population survey EHF.G.05
People interviewed (sample): 1013
Share of senior citizens (65+) who, according to their own statement, "do something to keep fit" to prevent falls, 2013
8891
8591
8489
8389
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Source: bfu, population survey EHF.G.14
People interviewed (sample): 205 (only people aged 65–85)
Share of senior citizens (65+) who, according to their own statement, "do something to keep fit" to prevent falls, 2013
8891
8591
8489
8389
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Share of senior citizens (65+) who, according to their own statement, use "aids" (e.g. handrails) to prevent falls, 2013
82 87
79 81 84 86
70
78
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Source: bfu, population survey EHF.G.16 Source: bfu, population survey EHF.G.15
People interviewed (sample): 205 (only people aged 65–85)
People interviewed (sample): 1013
People interviewed (sample): 205 (only people aged 65–85) People interviewed (sample): 205 (only people aged 65–85)
HF, S. 53
Share of senior citizens (65+), who take fall-prevention measures, 2013
88
87
82
47
28
0% 20% 40% 60% 80% 100%
Doing something to keep fit
Eating the right food
Using technical aids
Getting information on how to avoidfalls
Taking medicaments with a preventiveeffect
Share of people who rate the following causes of falls as important, 2013
65
61
40
27
61
56
45
40
67
65
47
40
74
68
61
62
63
76
66
64
0% 20% 40% 60% 80%
Consumption of substances
Poor lighting conditions
Structural faults in buildings
Poor physical condition
15–29 30–44 45–59 60–74 75+
Source: bfu, population survey EHF.G.13
Source: bfu, population survey EHF.G.06
Assessment of the significance of the causes of falls, 2013
86
85
71
69
66
63
49
42
14
15
29
31
34
37
51
58
0% 20% 40% 60% 80% 100%
Slippery floor or shoes
Not paying attention
Objects scattered about
Being pressed for time
Taking substances
Lack of lighting/poor lighting
Building faults
Lack of physical fitness
More frequent cause Less frequent cause
Source: bfu, population survey EHF.G.05
People interviewed (sample): 1013
Share of senior citizens (65+) who, according to their own statement, "do something to keep fit" to prevent falls, 2013
8891
8591
8489
8389
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Source: bfu, population survey EHF.G.14
People interviewed (sample): 205 (only people aged 65–85)
Share of senior citizens (65+) who, according to their own statement, "do something to keep fit" to prevent falls, 2013
8891
8591
8489
8389
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Share of senior citizens (65+) who, according to their own statement, use "aids" (e.g. handrails) to prevent falls, 2013
82 87
79 81 84 86
70
78
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Source: bfu, population survey EHF.G.16 Source: bfu, population survey EHF.G.15
People interviewed (sample): 205 (only people aged 65–85)
People interviewed (sample): 1013
People interviewed (sample): 205 (only people aged 65–85) People interviewed (sample): 205 (only people aged 65–85)
HF, S. 53
Share of senior citizens (65+), who take fall-prevention measures, 2013
88
87
82
47
28
0% 20% 40% 60% 80% 100%
Doing something to keep fit
Eating the right food
Using technical aids
Getting information on how to avoidfalls
Taking medicaments with a preventiveeffect
Share of people who rate the following causes of falls as important, 2013
65
61
40
27
61
56
45
40
67
65
47
40
74
68
61
62
63
76
66
64
0% 20% 40% 60% 80%
Consumption of substances
Poor lighting conditions
Structural faults in buildings
Poor physical condition
15–29 30–44 45–59 60–74 75+
Source: bfu, population survey EHF.G.13
Source: bfu, population survey EHF.G.06
Assessment of the significance of the causes of falls, 2013
86
85
71
69
66
63
49
42
14
15
29
31
34
37
51
58
0% 20% 40% 60% 80% 100%
Slippery floor or shoes
Not paying attention
Objects scattered about
Being pressed for time
Taking substances
Lack of lighting/poor lighting
Building faults
Lack of physical fitness
More frequent cause Less frequent cause
Source: bfu, population survey EHF.G.05
People interviewed (sample): 1013
Share of senior citizens (65+) who, according to their own statement, "do something to keep fit" to prevent falls, 2013
8891
8591
8489
8389
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Source: bfu, population survey EHF.G.14
People interviewed (sample): 205 (only people aged 65–85)
Share of senior citizens (65+) who, according to their own statement, "do something to keep fit" to prevent falls, 2013
8891
8591
8489
8389
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Share of senior citizens (65+) who, according to their own statement, use "aids" (e.g. handrails) to prevent falls, 2013
82 87
79 81 84 86
70
78
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
oSource: bfu, population survey EHF.G.16 Source: bfu, population survey EHF.G.15
People interviewed (sample): 205 (only people aged 65–85)
People interviewed (sample): 1013
People interviewed (sample): 205 (only people aged 65–85) People interviewed (sample): 205 (only people aged 65–85)
HF, S. 53
Share of senior citizens (65+), who take fall-prevention measures, 2013
88
87
82
47
28
0% 20% 40% 60% 80% 100%
Doing something to keep fit
Eating the right food
Using technical aids
Getting information on how to avoidfalls
Taking medicaments with a preventiveeffect
Share of people who rate the following causes of falls as important, 2013
65
61
40
27
61
56
45
40
67
65
47
40
74
68
61
62
63
76
66
64
0% 20% 40% 60% 80%
Consumption of substances
Poor lighting conditions
Structural faults in buildings
Poor physical condition
15–29 30–44 45–59 60–74 75+
Source: bfu, population survey EHF.G.13
Source: bfu, population survey EHF.G.06
Assessment of the significance of the causes of falls, 2013
86
85
71
69
66
63
49
42
14
15
29
31
34
37
51
58
0% 20% 40% 60% 80% 100%
Slippery floor or shoes
Not paying attention
Objects scattered about
Being pressed for time
Taking substances
Lack of lighting/poor lighting
Building faults
Lack of physical fitness
More frequent cause Less frequent cause
Source: bfu, population survey EHF.G.05
People interviewed (sample): 1013
Share of senior citizens (65+) who, according to their own statement, "do something to keep fit" to prevent falls, 2013
8891
8591
8489
8389
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Source: bfu, population survey EHF.G.14
People interviewed (sample): 205 (only people aged 65–85)
Share of senior citizens (65+) who, according to their own statement, "do something to keep fit" to prevent falls, 2013
8891
8591
8489
8389
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Share of senior citizens (65+) who, according to their own statement, use "aids" (e.g. handrails) to prevent falls, 2013
82 87
79 81 84 86
70
78
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Source: bfu, population survey EHF.G.16 Source: bfu, population survey EHF.G.15
People interviewed (sample): 205 (only people aged 65–85)
People interviewed (sample): 1013
People interviewed (sample): 205 (only people aged 65–85) People interviewed (sample): 205 (only people aged 65–85)
HF, S. 53
Share of senior citizens (65+), who take fall-prevention measures, 2013
88
87
82
47
28
0% 20% 40% 60% 80% 100%
Doing something to keep fit
Eating the right food
Using technical aids
Getting information on how to avoidfalls
Taking medicaments with a preventiveeffect
Share of people who rate the following causes of falls as important, 2013
65
61
40
27
61
56
45
40
67
65
47
40
74
68
61
62
63
76
66
64
0% 20% 40% 60% 80%
Consumption of substances
Poor lighting conditions
Structural faults in buildings
Poor physical condition
15–29 30–44 45–59 60–74 75+
Source: bfu, population survey EHF.G.13
Source: bfu, population survey EHF.G.06
Assessment of the significance of the causes of falls, 2013
86
85
71
69
66
63
49
42
14
15
29
31
34
37
51
58
0% 20% 40% 60% 80% 100%
Slippery floor or shoes
Not paying attention
Objects scattered about
Being pressed for time
Taking substances
Lack of lighting/poor lighting
Building faults
Lack of physical fitness
More frequent cause Less frequent cause
Source: bfu, population survey EHF.G.05
People interviewed (sample): 1013
Share of senior citizens (65+) who, according to their own statement, "do something to keep fit" to prevent falls, 2013
8891
8591
8489
8389
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Source: bfu, population survey EHF.G.14
People interviewed (sample): 205 (only people aged 65–85)
Share of senior citizens (65+) who, according to their own statement, "do something to keep fit" to prevent falls, 2013
8891
8591
8489
8389
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Share of senior citizens (65+) who, according to their own statement, use "aids" (e.g. handrails) to prevent falls, 2013
82 87
79 81 84 86
70
78
0%
20%
40%
60%
80%
100%
Tota
l
Mal
e
Fem
ale
60–7
4
75–8
5
Ger
man
-sp.
Sw
itzer
land
Fren
ch-s
p. S
witz
erla
nd
Ticin
o
Source: bfu, population survey EHF.G.16 Source: bfu, population survey EHF.G.15
People interviewed (sample): 205 (only people aged 65–85)
People interviewed (sample): 1013
People interviewed (sample): 205 (only people aged 65–85) People interviewed (sample): 205 (only people aged 65–85)
An
han
g
54 Appendix bfu–STATUS2013
Ap
pen
dix An interpretation guide
Explanation of the symbols in the tables
0 A zero means that nothing applies (no cases,
no amount) or that the relevant figure is less
than half the lowest decimal place
... Three dots instead of a figure mean that this
is not available or is not recorded.
Ø Average/mean value
Abbreviations/Terminology
ARE Bundesamt für Raumentwicklung/Federal
Office for Spatial Development
BFS Bundesamt für Statistik/Federal Office for
Statistics
The statistics used are those for road vehicles,
kilometres driven, causes of death and for the
population.
bfu Beratungsstelle für Unfallverhütung/
Swiss Council for Accident Prevention
Case fatality Reference value for severity of accidents (no.
of fatalities per 10,000 casualities)
FEDRO Bundesamt für Strassen/Federal Roads Office:
Police-registered accidents
Injuries and Persons injured and fatalities
fatalities
Injury Unless defined otherwise:
severity Slightly injured: Little impairment
Severely injured: Severe, visible impairment
that prevents normal home activities for at
least 24 hours or requires a hospital stay of
longer than 1 day.
IRTAD International Road Traffic and Accident Data-
base (OECD)
IVT Institut für Verkehrsplanung und Transport-
systeme, ETH Zürich/Institute for Transport
Planning and Systems (IVT), Swiss Federal In-
stitute of Technology (ETHZ), Zurich
NBU Non-occupational accidents in road traffic,
sports, home and leisure
No. of cases Proportionate figure of the road accidents
not regist. actually registered by the police
OECD Organisation for Economic Co-operation and
Development
SSUV Sammelstelle für die Statistik der Unfallver-
sicherung UVG/Central Office for Statistics
under the Federal Law for Accident Insurance
(AIL).
Statistics based on SSUV data cover accidents
among employees who are compulsorily in-
sured under the Federal Law for Accident In-
surance (AIL).
UVG Unfallversicherungsgesetz/Federal Law for
Accident Insurance
•All employees (aged approx. 16 to 65) are
compulsorily insured against occupational
accidents.
•All employees are compulsorily insured
against non-occupational accidents if they
work a minimum of 8 hours a week for one
or several employers.
•Allunemployedpersons(jobseekers)arein-
sured against non-occupational accidents in
accordance with the “Ordinance regulating
accident insurance for unemployed persons”.
Working Expressionusedfordailyallowancepayments
days lost based on accident-related absences from
work.
Data sources
Initial situation
In Switzerland, around 1 million people are injured in non-
occupational accidents, around 2,000 of which prove fatal
(p.9).Thesefiguresaretheresultofbfuextrapolations.
Estimates are necessary since hardly any data covering all
population groups or the whole of Switzerland is available
for the non-occupational sector. The statistics published
generally only cover part of the actual incidence of acci-
dents.Theexplanationsoftheindividualdatasourceswill
help in interpreting the figures.
BFS: Statistics on the causes of death
Basis •Full record of all accident fatalities among
permanent Swiss residents
Benefits •Comprehensive
Drawbacks•Hardlyanydataon the causesofaccidents
and injury patterns
bfu–STATUS2013 Appendix 55
bfu: Revised extrapolation
Basis •Estimateofthenumberofinjuriesandfatal-
ities (resident Swiss population) based on a
variety of data sources
•The extrapolation has been revised and is
now based on data acquired in a special
household survey. In 2011, information on
the number of accidents that had occurred
in15,000householdswasobtainedbytele-
phone and in Internet surveys (circumstances
and location of the accident, activity at the
time of the accident, consequences of the in-
jury, demographic features).
SSUV: UVG statistics
Basis •Extrapolationofa5%sampleofall report-
ed non-occupational accidents suffered by
peopleagedapprox.16 to65compulsorily
insured under the UVG (2010: approx. 4m
insurees)
•Caseswithaclaimtodisabilityorsurvivors’
pension are included in full
Benefits •Injurypatternsknownindetail
•Dataonactivityandsituationaswellascat-
egories regarding cause
Drawbacks•Population groups missing (children, stu-
dents, senior citizens, other people not in
employment)
FEDRO: Police-registered accidents
Basis •A traffic accident is considered to have oc-
curred if people have been injured or killed or
material damage has been caused by vehicles
on public roads and thoroughfares. Since
1992, people are only considered road acci-
dent fatalities if they die within 30 days of the
accident.
Benefits •Highly suitable fordetermining focal points
or changes over a period of years (detailed in-
formation on circumstances and parameters)
Drawbacks•Injurypatternsareunknown
•Foreachtravelmode,thereisalargenumber
of unrecorded accidents (unknown number
of cases not registered).
Swiss Sports and Recreation Observatory
Basis •Indicator 4.1: Incidence rates in selected
sports
bfu: Statistics on sports accidents fatalities
Basis •Includes all accidents that happen during
sportingactivities(excl.roadtrafficaccidents)
if the victims die as a result of the injury either
at the site or within 30 days of the accident.
•Data from the following organisations was
used:
SSUV: UVG statistics of the Central Office for
Statistics under the Federal Law for Accident
Insurance (UVG)
sda: Schweizerische Depeschenagentur/
Swiss news agency
SAC: Swiss Alpine Club
SHV-FSVL: Swiss hang-gliding association
SLRG: Swiss life-saving society
SLF: Swiss Federal Institute for Snow and Ava-
lanche Research
bfu: Economic costs
Basis •Sommer H, Brügger O, Lieb C, Niemann S.
Volkswirtschaftliche Kosten der Nichtberuf-
sunfälle in der Schweiz: Strassenverkehr,
Sport, Haus und Freizeit. Berne: bfu – Swiss
Council for Accident Prevention; 2007. bfu-
report58.
•Lastupdated:2009
ARE/BFS: Mobility in Switzerland
Basis •Results of the 2010 microcensus on travel
behaviour
BFS: Kilometres driven by private motorists
Basis •Timeseries:1950–1993
•Updatedtimeseries:1994–2011
•bfuestimates2012
Ap
pen
dix
56 Appendix bfu–STATUS2013
IRTAD: Road accidents registered
Basis •Allpolice-registeredroadaccidentsinOECD
member states
bfu: Surveys
Basis •Representative random sample survey of
Swiss roads
•Annually,inspring
IVT at the ETH Zurich: Speed measurements
Basis •IVTreportno.118:25yearsofIVTmeasure-
ments of traffic flow
•Reportupdates
bfu: Population survey
Basis •Representativetelephonesurveyamongthe
resident Swiss population (approximately
1,000 people per year)
Benefits •Representativeness
•Informationontheacceptanceofmeasures
Drawbacks•Noclearconclusionscanbedrawnaboutac-
tual behaviour
bfu: Survey of personal protective equipment in win-
ter sports
Basis •Representative random sample survey on
snowsport runs
•Basis for the evaluation of the snowsport
campaign
bfu: Statistics on the transportation of people in-
jured in winter sports
Basis •IncooperationwithSBSSwissaerialcableways
•Informationprovidedby the rescueservices
of selected aerial cableways
bfu–STATUS2013 Appendix 57
Index
A
Accident causes 21
Accident circumstances 10, 48, 49
Accident location 19
Accidenttype 25
Age 8, 11, 19–21, 22, 23, 30, 32–34, 37, 38, 41, 42, 45
Alcohol 17, 21, 33
Athletics 36,37
Avalanche accidents 42
B
Ball games 36, 37, 39
Bicycle 10, 14, 16, 18, 19, 22–24, 26, 28, 30, 36, 37, 39
Bicycle helmet 30
Blood alcohol concentration q.v. Alcohol
(In) Built-up areas 21, 25, 26, 27, 29–31
(Outside) Built-up areas 21, 25, 26, 27, 29–31
Burns 48,50
C
Cars 10, 14, 16, 18, 20, 22–24, 26–30
Children 8, 23
Costs 12
Cyclingandskating 36,37,39
Cyclingsports 10,36,37,39
Cyclists q.v. Bicycles
D
Daytime running lights 30
Diseases 8
Drivers 20, 23, 24, 29, 31–33
Drowning 40
E
E-bike 18,22,24,26,33
Extrapolation 9–11,14
F
Falls 10, 48, 50, 52
Flying sports 38
Focal points 10
French-speakingSwitzerland 29,30,32–34,45
G
Gender 11,19,32–34,37,38,40–43,45,49–52
German-speakingSwitzerland 29,30,32–34,45
Gymnastics 36,37
H
Helmet-wearing rates: Motorcycles/mopeds 29
Helmet-wearing rates: Bicycles 30
Helmet-wearing rates: Snowsports 45
Hiking 10,36–39
I
Injury localisation 39
International comparison 28
Italian-speaking Switzerland q.v. Ticino
K
Kilometres driven 27
L
Leisuretime activities 48, 49
Location 21, 25, 26, 27, 29–31
M
Material damage 12
Mopeds 14,18,22–24,26,27,31
Motorcycles 4, 17, 18, 20, 22–24,26–28,31
Motorways 21, 25, 26, 27, 29–31
Mountain sports 38, 39, 41
N
Non-occupational accidents 9, 11, 12
P
Passengers 20, 23, 24, 29
Pedestrians 10,14,16,18,19,22–26,28
Pedestrian crossings 19
Poisoning 48,50
Ap
pen
dix
58 Appendix bfu–STATUS2013
R
Rear-seat passengers 20, 23, 24, 29, 32
Region 29,30,32–34,45
Risk behaviour 32
Roadusers 10,14,16–18,22–24,27,28
Rural roads q.v. Outside built-up areas
S
Seatbelt 29, 32
Seatbelt-wearing rate 29
Senior citizens 8, 24, 53
Snowsports 10,36–39,42,43,44, 45
Speed 17, 20, 21, 32
Speed behaviour 32
Sports,typesof 10,36–39,44
Stopping distance 20
T
Ticino 29, 30, 32–34
Tobogganing 45,46
U
UVG insured persons (compulsorily insured) 10, 39
W
Watersports 10,36–39
Wintersports 10,36–39,42–46
Y
Young adults 8, 23
Young drivers 10
2.11
8.0
8 –
08.
2013
bfu – Swiss Council for Accident Prevention, P.O. Box 8236, CH-3001 BerneTel. +41 31 390 22 22, Fax +41 31 390 22 30, info @ bfu.ch, www.bfu.ch
© bfu 2013. All rights reserved; reproduction (e.g. photocopying), storage, processing and distribution are permitted if source is quoted (q.v. suggested source quotation below).
Live safely: your bfu.
bfu is committed to safety by public appointment. As the
Swiss Competence Centre for Accident Prevention, it con-
ductsresearchintheroadtraffic,sport,homeandleisure
sectors and passes on its knowledge to individuals and
specialist circles by means of advisory services, training
sessions and communications. More about accident preven-
tion at www.bfu.ch.
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