359038
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359038
statistikk
2018-10-18T08:00:00.000Z
Social conditions, welfare and crime;Svalbard
en
lovbruddo, Victims of offences reported to the police, crime, criminal cases, crime victims, innocent party, victims of theft, victims of violence, offence groups (for example violence, crimes for profit, sexually motivated crimes), types of offence (for example theft, murder, rape)Social conditions, welfare and crime, Crime and justice, Social conditions, welfare and crime, Svalbard
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Victims of offences reported to the police

Updated

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Key figures

140 263

victims (persons) of offences reported to the police in 2017

Offences reported to the police, total and with victims (persons), and victims (persons) of offences, property theft and violence and maltreatment. Absolute figures
2017
Offences reported to the police, total318 617
Offences reported to the police, with victims (persons)151 269
Victims (persons) of offences reported to the police, total140 263
Victims (persons) of property theft67 718
Victims (persons) of violence and maltreatment32 199

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Table 1 
Offences reported to the police, by type of victim and group of offence. Absolute figures

Offences reported to the police, by type of victim and group of offence. Absolute figures
TotalPersonOther juridical unit/enterpriseWithout victim or unknown
2017
All groups of offences318 617151 26944 012123 336
¬ Property theft94 88770 04022 4762 371
¬ Other offences for profit28 90717 2186 8794 810
¬ Criminal damage17 4749 3686 3411 765
¬ Violence and maltreatment36 68731 4681 1104 109
¬ Sexual offences7 9866 288171 681
¬ Drug and alcohol offences46 9304091 13145 390
¬ Public order and integrity violations35 3089 2432 72023 345
¬ Traffic offences45 7495 6542 47237 623
¬ Other offences4 6891 5818662 242

Table 2 
Victims (persons), by number of offences, sex and age. Absolute figures and per cent

Victims (persons), by number of offences, sex and age. Absolute figures and per cent
Total1 offence2 offences3 offences4 or more offences
2017
Absolute figures
Total140 263126 12011 1512 007985
Sex
Males79 18271 3526 2981 077455
Females61 08154 7684 853930530
Age
0-9 years4 8074 363386517
10-19 years15 01913 2831 300309127
20-29 years31 49128 0082 726513244
30-39 years26 10023 1592 295431215
40-49 years26 17023 5532 084327206
50-59 years19 01417 3281 355212119
60-69 years10 79710 01263910541
70-79 years4 9164 5912604322
80 years or older1 7961 69883123
Unknown age1531252341
Per cent
Total100.089.98.01.40.7
Sex
Males100.090.18.01.40.6
Females100.089.77.91.50.9
Age
0-9 years100.090.88.01.10.1
10-19 years100.088.48.72.10.8
20-29 years100.088.98.71.60.8
30-39 years100.088.78.81.70.8
40-49 years100.090.08.01.20.8
50-59 years100.091.17.11.10.6
60-69 years100.092.75.91.00.4
70-79 years100.093.45.30.90.4
80 years or older100.094.54.60.70.2
Unknown age100.081.715.02.60.7

Table 3 
Victims (persons), by group of principal offence, sex and age. Absolute figures and per 1 000 population

Victims (persons), by group of principal offence, sex and age. Absolute figures and per 1 000 population
All groups of offences¬ Property theft¬ Other offences for profit¬ Criminal damage¬ Violence and maltreatment¬ Sexual offences¬ Public order and integrity violations¬ Traffic offences¬ Other offences (incl. Drug and alcohol offences)
2017
Absolute figures
Total140 26366 29815 3498 23330 0465 7586 7305 9691 880
Sex
Males79 18239 0048 6935 40716 3851 1353 7103 5881 260
Females61 08127 2946 6562 82613 6614 6233 0202 381620
Age
0-9 years4 80742753 4261 0765216435
10-19 years15 0194 2321 0222345 2593 039503599131
20-29 years31 49116 2892 9491 3747 1759381 4321 024310
30-39 years26 10013 0592 8641 5865 3983101 4841 055344
40-49 years26 17013 9613 0501 7934 3151871 3501 121393
50-59 years19 0149 9022 4121 6252 71861957990349
60-69 years10 7975 3861 8121 0021 17123583598222
70-79 years4 9162 4599034814191127029281
80 years or older1 796968330133115109912615
Unknown age15300050103000
Per 1 000 population
Total26.712.62.91.65.71.11.31.10.4
Sex
Males29.914.73.32.06.20.41.41.40.5
Females23.410.52.61.15.21.81.20.90.2
Age
0-9 years7.70.10.00.05.51.70.10.30.1
10-19 years23.66.61.60.48.34.80.80.90.2
20-29 years44.322.94.11.910.11.32.01.40.4
30-39 years37.318.74.12.37.70.42.11.50.5
40-49 years35.318.84.12.45.80.31.81.50.5
50-59 years28.414.83.62.44.10.11.41.50.5
60-69 years18.99.43.21.82.10.01.01.00.4
70-79 years12.96.52.41.31.10.00.70.80.2
80 years or older8.14.41.50.60.50.00.40.60.1
Unknown age..................

Table 4 
Victims (persons), by group of principal offence and one-year age group. Absolute figures and per 1 000 population

Victims (persons), by group of principal offence and one-year age group. Absolute figures and per 1 000 population
All groups of offences¬ Property theft¬ Other offences for profit¬ Criminal damage¬ Violence and maltreatment¬ Sexual offences¬ Public order and integrity violations¬ Traffic offences¬ Other offences (incl. Drug and alcohol offences)
2017
Absolute figures
Total140 26366 29815 3498 23330 0465 7586 7305 9691 880
0 years44011038141493
1 year19000015621463
2 years29501222061470
3 years4870103461261112
4 years6022103971745176
5 years5383003721326223
6 years6141004291499224
7 years5726214211147192
8 years5565023791295279
9 years51324103251297243
10 years565282632515611298
11 years560503330916212147
12 years707662234124215336
13 years1 2001466249246829489
14 years1 357168200542533453415
15 years1 432242632534491513316
16 years1 677431100176433204810612
17 years1 888623158256152847210011
18 years2 8621 2253538674621111110624
19 years2 7711 253315917121721099623
20 years3 0741 484292997861471548824
21 years3 1621 5813291057481511189634
22 years3 2121 6862801357351211299531
23 years3 0821 584293139722811388936
24 years3 2041 6922871217358214911127
25 years3 2241 7072911577048614610726
26 years3 2061 6603041367427914210835
27 years3 3001 7243011677346415711538
28 years3 1501 6792991696586613311531
29 years2 8771 4922731466116116610028
30 years2 8731 456294163634391569833
31 years2 7451 3532951475854616611340
32 years2 6511 3093031495813214011027
33 years2 6071 2752841665552916410430
34 years2 6201 2932801525692315511137
35 years2 6141 3142941555313414811127
36 years2 5581 302301161506301289832
37 years2 4871 243271156490271649343
38 years2 5111 2612681845012413710630
39 years2 4341 2532741534462612611145
40 years2 4351 2482641654582713110339
41 years2 3761 256268148432231329225
42 years2 5891 4303271443902612811034
43 years2 7801 4853211794691715212730
44 years2 6691 4273261734262014412033
45 years2 7401 4813381774181713612350
46 years2 7781 5413002004361813510939
47 years2 6251 3792912114501613410044
48 years2 6251 3773101894411112212451
49 years2 5531 3373052073951213611348
50 years2 4111 2242752213861312512344
51 years2 2641 2142531763471311111535
52 years2 3081 231304183321810111842
53 years2 0221 08126616428561018435
54 years1 9471 01425615527941009841
55 years1 84194020716429729011031
56 years1 6798662321452077918843
57 years1 5688071931582085789227
58 years1 5177772211361932728828
59 years1 4577482051231951887423
60 years1 4016892321211875726827
61 years1 3256731971371591716225
62 years1 2186351751131342607821
63 years1 1345591751101232646833
64 years1 1395711761181252586722
65 years998460195901054546525
66 years97848017798932575219
67 years95949617572880574823
68 years83243715370722444014
69 years81338615773853465013
70 years82342115580652494011
71 years73337013667652374115
72 years63030412169531422911
73 years62230910665632323510
74 years4772438954341222212
75 years413200763835125317
76 years354184612333122264
77 years305164592218013236
78 years304151553425016194
79 years255113452928112261
80 years or older1 796968330133115109912615
Unknown age15300050103000
Per 1 000 population
Total26.712.62.91.65.71.11.31.10.4
0 years7.40.00.00.06.40.70.10.20.1
1 year3.20.00.00.02.60.40.10.10.1
2 years4.90.00.00.03.61.00.10.10.0
3 years8.00.00.00.05.72.10.00.20.0
4 years9.60.00.00.06.32.80.10.30.1
5 years8.50.00.00.05.92.10.10.30.0
6 years9.40.00.00.06.62.30.10.30.1
7 years8.70.10.00.06.41.70.10.30.0
8 years8.60.10.00.05.82.00.10.40.1
9 years8.10.40.00.05.12.00.10.40.0
10 years8.90.40.00.15.12.50.20.50.1
11 years9.00.80.00.05.02.60.20.20.1
12 years11.31.10.00.05.53.90.20.50.1
13 years19.32.40.10.07.97.50.50.80.1
14 years22.32.80.30.08.98.70.70.60.2
15 years23.03.91.00.08.67.90.80.50.3
16 years25.76.61.50.39.94.90.71.60.2
17 years28.79.52.40.49.44.31.11.50.2
18 years43.918.85.41.311.53.21.71.60.4
19 years41.618.84.71.410.72.61.61.40.3
20 years45.221.84.31.511.62.22.31.30.4
21 years46.623.34.91.511.02.21.71.40.5
22 years47.224.84.12.010.81.81.91.40.5
23 years44.823.04.32.010.51.22.01.30.5
24 years45.424.04.11.710.41.22.11.60.4
25 years44.423.54.02.29.71.22.01.50.4
26 years43.022.34.11.810.01.11.91.40.5
27 years44.423.24.02.29.90.92.11.50.5
28 years42.422.64.02.38.90.91.81.50.4
29 years39.920.73.82.08.50.82.31.40.4
30 years39.820.24.12.38.80.52.21.40.5
31 years38.619.04.22.18.20.62.31.60.6
32 years37.618.54.32.18.20.52.01.60.4
33 years37.118.24.02.47.90.42.31.50.4
34 years37.018.34.02.18.00.32.21.60.5
35 years37.719.04.22.27.70.52.11.60.4
36 years36.418.54.32.37.20.41.81.40.5
37 years35.817.93.92.27.10.42.41.30.6
38 years36.418.33.92.77.30.32.01.50.4
39 years36.218.74.12.36.60.41.91.70.7
40 years35.418.13.82.46.70.41.91.50.6
41 years33.617.83.82.16.10.31.91.30.4
42 years35.219.44.42.05.30.41.71.50.5
43 years37.720.14.32.46.40.22.11.70.4
44 years35.018.74.32.35.60.31.91.60.4
45 years35.919.44.42.35.50.21.81.60.7
46 years36.820.44.02.75.80.21.81.40.5
47 years34.117.93.82.75.90.21.71.30.6
48 years34.518.14.12.55.80.11.61.60.7
49 years34.518.14.12.85.30.21.81.50.6
50 years32.816.63.73.05.20.21.71.70.6
51 years31.316.83.52.44.80.21.51.60.5
52 years32.517.34.32.64.50.11.41.70.6
53 years29.715.93.92.44.20.11.51.20.5
54 years29.415.33.92.34.20.11.51.50.6
55 years28.314.43.22.54.60.01.41.70.5
56 years26.113.53.62.33.20.11.41.40.7
57 years24.412.63.02.53.20.11.21.40.4
58 years23.912.23.52.13.00.01.11.40.4
59 years23.512.13.32.03.10.01.41.20.4
60 years22.411.03.71.93.00.11.21.10.4
61 years21.911.13.22.32.60.01.21.00.4
62 years20.610.83.01.92.30.01.01.30.4
63 years19.59.63.01.92.10.01.11.20.6
64 years20.010.03.12.12.20.01.01.20.4
65 years18.58.53.61.71.90.11.01.20.5
66 years17.98.83.21.81.70.01.00.90.3
67 years17.69.13.21.31.60.01.00.90.4
68 years15.28.02.81.31.30.00.80.70.3
69 years14.77.02.81.31.50.10.80.90.2
70 years14.57.42.71.41.10.00.90.70.2
71 years14.77.42.71.31.30.00.70.80.3
72 years13.46.52.61.51.10.00.90.60.2
73 years15.17.52.61.61.50.00.80.90.2
74 years12.86.52.41.40.90.00.60.60.3
75 years13.06.32.41.21.10.00.81.00.2
76 years11.05.71.90.71.00.00.70.80.1
77 years10.15.41.90.70.60.00.40.80.2
78 years10.85.42.01.20.90.00.60.70.1
79 years9.94.41.71.11.10.00.51.00.0
80 years or older8.14.41.50.60.50.00.40.60.1
Unknown age..................

Table 5 
Victims (persons), by group of principal offence and place of residence (county). Absolute figures and per 1 000 population

Victims (persons), by group of principal offence and place of residence (county). Absolute figures and per 1 000 population
All groups of offences¬ Property theft¬ Other offences for profit¬ Criminal damage¬ Violence and maltreatment¬ Sexual offences¬ Public order and integrity violations¬ Traffic offences¬ Other offences (incl. Drug and alcohol offences)
2017
Absolute figures
Total140 26366 29815 3498 23330 0465 7586 7305 9691 880
The whole country138 56565 53015 2628 17229 6585 6556 6875 8141 787
Østfold8 0263 6188365011 833398366361113
Akershus16 1728 1291 7089123 124588731825155
Oslo25 55114 4691 9761 1804 7655391 698793131
Hedmark4 4311 88662125097022621320362
Oppland3 4141 39345917879618116417073
Buskerud6 6413 1028033981 35630028631284
Vestfold6 1782 9675063631 35220536832295
Telemark4 8192 2205173501 09921515120166
Aust-Agder2 9631 35028316974211413512050
Vest-Agder5 2852 7143983151 30017619511869
Rogaland13 1876 5191 7998112 464474422517181
Hordaland13 3466 4031 6997682 722590419559186
Sogn og Fjordane1 75459722813448494879535
Møre og Romsdal5 0501 6947203731 211332344266110
Sør-Trøndelag (-2017)8 2874 0201 0484471 64635937529399
Nord-Trøndelag (-2017)2 7959545732026571331249458
Nordland4 8841 4445204191 53236727523691
Troms - Romsa3 6731 42437223497422318519170
Finnmark - Finnmárku2 10262419616862914014913858
Svalbard730021001
Norway, unknown county000000000
Abroad, without known county1 68476387603831024215493
County not stated1450151110
Per 1 000 population
Total26.712.62.91.65.71.11.31.10.4
The whole country26.412.52.91.65.61.11.31.10.3
Østfold27.412.42.91.76.31.41.21.20.4
Akershus26.813.52.81.55.21.01.21.40.3
Oslo38.321.73.01.87.10.82.51.20.2
Hedmark22.69.63.21.34.91.21.11.00.3
Oppland18.07.42.40.94.21.00.90.90.4
Buskerud23.711.12.91.44.81.11.01.10.3
Vestfold25.012.02.01.55.50.81.51.30.4
Telemark27.812.83.02.06.31.20.91.20.4
Aust-Agder25.411.62.41.46.41.01.21.00.4
Vest-Agder28.714.72.21.77.11.01.10.60.4
Rogaland27.913.83.81.75.21.00.91.10.4
Hordaland25.712.33.31.55.21.10.81.10.4
Sogn og Fjordane15.95.42.11.24.40.90.80.90.3
Møre og Romsdal19.06.42.71.44.51.21.31.00.4
Sør-Trøndelag (-2017)26.112.73.31.45.21.11.20.90.3
Nord-Trøndelag (-2017)20.47.04.21.54.81.00.90.70.4
Nordland20.15.92.11.76.31.51.11.00.4
Troms - Romsa22.28.62.21.45.91.31.11.20.4
Finnmark - Finnmárku27.68.22.62.28.31.82.01.80.8
Svalbard..................
Norway, unknown county..................
Abroad, without known county..................
County not stated..................

Table 6 
Victims (persons), by sex, age and place of residence (county). Absolute figures and per 1 000 population

Victims (persons), by sex, age and place of residence (county). Absolute figures and per 1 000 population
TotalMalesFemales0-9 years10-19 years20-29 years30-39 years40-49 years50-59 years60-69 years70-79 years80 years or olderUnknown age
2017
Absolute figures
Total140 26379 18261 0814 80715 01931 49126 10026 17019 01410 7974 9161 796153
The whole country138 56578 08160 4844 77814 85831 03025 75425 91618 78610 6384 8651 788152
Østfold8 0264 4483 5783359441 5541 3781 5761 1836163181157
Akershus16 1729 2236 9495121 8373 0702 7173 4252 5441 18659826617
Oslo25 55114 42811 1236071 8706 7096 4674 3472 9821 55967832111
Hedmark4 4312 4501 981152519917603868655430216647
Oppland3 4141 9041 510142468725503606476299143466
Buskerud6 6413 6902 9512097571 3561 1711 332929525269903
Vestfold6 1783 5112 6671936661 2161 0541 244921543260729
Telemark4 8192 7232 096134497979742986752455205672
Aust-Agder2 9631 6791 284131373563464592435264106332
Vest-Agder5 2853 0522 2332415681 1368881 002765431180686
Rogaland13 1877 5555 6323991 3952 8112 6432 5911 7531 01541414719
Hordaland13 3467 5365 8103831 3663 3542 4802 3761 7481 03644314515
Sogn og Fjordane1 7541 0247308728941322528321514070302
Møre og Romsdal5 0502 7402 3102606741 101801845639459198694
Sør-Trøndelag (-2017)8 2874 6643 6233317842 1001 4911 5201 0656272659410
Nord-Trøndelag (-2017)2 7951 5731 2221233905944324913792281232510
Nordland4 8842 6672 2172917351 110733802615373163539
Troms - Romsa3 6732 0321 641159452852629645462281136543
Finnmark - Finnmárku2 1021 18092288274468331385267170802910
Svalbard7251022011000
Norway, unknown county0000000000000
Abroad, without known county1 6841 092592231604603452532271584981
County not stated14956111111200
Per 1 000 population
Total26.729.923.47.723.644.337.335.328.418.912.98.1..
The whole country26.429.523.27.623.343.636.834.928.018.612.88.1..
Østfold27.430.324.510.226.144.839.636.929.717.713.28.8..
Akershus26.830.523.06.623.045.135.036.231.219.614.211.9..
Oslo38.343.433.37.530.056.651.546.440.528.119.315.3..
Hedmark22.625.020.27.722.539.728.732.224.016.512.05.9..
Oppland18.020.016.07.320.631.724.822.918.112.38.34.6..
Buskerud23.726.221.26.522.240.932.732.325.216.312.37.4..
Vestfold25.028.521.57.021.941.935.635.227.218.313.06.2..
Telemark27.831.424.27.323.745.838.740.631.920.713.77.9..
Aust-Agder25.428.622.29.325.039.432.935.929.018.911.86.9..
Vest-Agder28.733.024.410.323.645.138.039.933.122.214.09.0..
Rogaland27.931.524.36.222.743.638.739.030.622.414.79.0..
Hordaland25.728.622.65.921.544.334.633.427.819.412.76.6..
Sogn og Fjordane15.918.213.56.819.530.018.419.914.810.68.15.0..
Møre og Romsdal19.020.217.78.419.933.124.623.518.914.39.65.2..
Sør-Trøndelag (-2017)26.128.923.28.821.141.835.035.227.519.011.97.4..
Nord-Trøndelag (-2017)20.422.718.07.721.834.728.727.421.013.510.63.7..
Nordland20.121.718.511.024.735.427.025.018.712.37.84.4..
Troms - Romsa22.224.120.28.522.735.630.628.121.814.610.88.1..
Finnmark - Finnmárku27.630.125.010.628.643.537.735.026.418.814.39.7..
Svalbard..........................
Norway, unknown county..........................
Abroad, without known county..........................
County not stated..........................

Table 7 
Victims (persons), by group of principal offence and place of residence (size of municipality). Absolute figures and per 1 000 population

Victims (persons), by group of principal offence and place of residence (size of municipality). Absolute figures and per 1 000 population
All groups of offences¬ Property theft¬ Other offences for profit¬ Criminal damage¬ Violence and maltreatment¬ Sexual offences¬ Public order and integrity violations¬ Traffic offences¬ Other offences (incl. Drug and alcohol offences)
2017
Absolute figures
Total140 26366 29815 3498 23330 0465 7586 7305 9691 880
The whole country138 56565 53015 2628 17229 6585 6556 6875 8141 787
All municipalities138 55865 52715 2628 17229 6565 6546 6875 8141 786
0-1 999 inhabitants2 03965029212551015314610063
2 000-4 999 inhabitants7 5652 5301 0775201 952490407383206
5 000-9 999 inhabitants12 2794 2701 7217933 184754716605236
10 000-19 999 inhabitants18 5787 6312 4681 2204 319932845870293
20 000-29 999 inhabitants14 3776 3481 7269053 166636712650234
30 000-49 999 inhabitants15 8487 3501 7009873 573690678698172
50 000 inhabitants or more67 87236 7486 2783 62212 9521 9993 1832 508582
Norway, unknown size of municipality730021001
Abroad, without known size of municipality1 68476387603831024215493
Unknown size of municipality1450151110
Per 1 000 population
Total26.712.62.91.65.71.11.31.10.4
The whole country26.412.52.91.65.61.11.31.10.3
All municipalities26.412.52.91.65.61.11.31.10.3
0-1 999 inhabitants17.65.62.51.14.41.31.30.90.5
2 000-4 999 inhabitants17.86.02.51.24.61.21.00.90.5
5 000-9 999 inhabitants20.07.02.81.35.21.21.21.00.4
10 000-19 999 inhabitants23.39.63.11.55.41.21.11.10.4
20 000-29 999 inhabitants23.810.52.91.55.21.11.21.10.4
30 000-49 999 inhabitants27.012.52.91.76.11.21.21.20.3
50 000 inhabitants or more32.117.43.01.76.10.91.51.20.3
Norway, unknown size of municipality..................
Abroad, without known size of municipality..................
Unknown size of municipality..................

Table 8 
Victims (persons), by sex, age and type of principal offence. Absolute figures

Victims (persons), by sex, age and type of principal offence. Absolute figures
TotalMalesFemales0-9 years10-19 years20-29 years30-39 years40-49 years50-59 years60-69 years70-79 years80 years or olderUnknown age
2017
All types of offences140 26379 18261 0814 80715 01931 49126 10026 17019 01410 7974 9161 796153
 
¬ Property theft66 29839 00427 294424 23216 28913 05913 9619 9025 3862 4599680
¬¬ Theft, total65 76838 69827 070424 19416 15312 94413 8649 8235 3492 4349650
¬¬¬ Petty theft1 0556024531842211952141699652230
¬¬¬¬ Petty theft from shop and other sales outlet4328150111101182000
¬¬¬¬ Other or unspecified petty theft1 0125744381832101852031619452230
¬¬¬ Theft53 45930 71522 744363 71313 63710 68111 3767 6903 9801 7096370
¬¬¬¬ Theft from shops and other sales outlet5583072510341459213176581750
¬¬¬¬ Theft from other business and public institution2 9831 7791 2041382610515631445223121550
¬¬¬¬ Theft from dwelling and holiday home8 5075 2683 23922571 5791 7361 7891 4119894862580
¬¬¬¬¬ Theft from dwelling2 8201 5601 26011825904645424502761651500
¬¬¬¬¬ Theft from holiday home572399173014335511712514068200
¬¬¬¬¬ Theft from storage area, garage and other area by dwelling and holiday home5 1153 3091 8061619561 2171 130836573253880
¬¬¬¬ Theft from car and other motor vehicle6 2904 6301 66031601 0831 2681 4041 262757282710
¬¬¬¬ Bicycle theft12 6257 7304 89516032 7522 8733 5851 934642197380
¬¬¬¬ Theft from the person22 43710 96411 473272 2737 4584 1843 8232 5531 3076022100
¬¬¬¬¬ Theft from the person at sales outlet6 5722 8473 72514872 6481 260963665350153450
¬¬¬¬¬ Theft from the person on public transport (from 1.10.2015)4 1622 0742 08833341 271823736555300119210
¬¬¬¬¬ Theft from the person in the street, park, other recreation area (from 1.10.2015)3 4921 8571 63553591 186690550370195107300
¬¬¬¬¬ Theft from the person at sports facility, cultural venue etc. (from 1.10.2015)2 0071 1128957374575322447194632140
¬¬¬¬¬ Theft from the person at other public and private place (from 1.10.2015)6 2043 0743 130117191 7781 0891 1277693992021100
¬¬¬¬ Other or unspecified theft5937222410131394400
¬¬¬ Aggravated theft8 0464 8933 15352701 7031 4511 4771 3539715432730
¬¬¬¬ Aggravated theft from shop and other sales outlet1409941021421353424820
¬¬¬¬ Aggravated theft from other business or public institution3772839402254788181382030
¬¬¬¬ Aggravated theft from dwelling and holiday home4 2012 6341 5674535656967848156654032160
¬¬¬¬¬ Aggravated theft from dwelling2 4701 4341 0363433964564614393132091500
¬¬¬¬¬ Aggravated theft from holiday home706488218031339119207193104280
¬¬¬¬¬ Aggravated theft from storage area, garage and other area by dwelling and holiday home1 0257123131715620120416915990380
¬¬¬¬ Aggravated theft from car and other motor vehicle1 09482926504118618525921813061140
¬¬¬¬ Aggravated theft from the person2 2311 0461 185115288447131620511351380
¬¬¬¬¬ Aggravated theft from the person at sales outlet (from 1.10.2015)7853154700413691769361281250
¬¬¬¬¬ Aggravated theft from the person on public transport (from 1.10.2015)482230252035193117783219530
¬¬¬¬¬ Aggravated theft from the person in the street, park, other recreation area (from 1.10.2015)437233204138171866331241580
¬¬¬¬¬ Aggravated theft from the person at sports facility, cultural venue etc. (from 1.10.2015)87523507331616103200
¬¬¬¬¬ Aggravated theft from the person at other or unspecified place4402162240311187666713917220
¬¬¬¬ Other or unspecified aggravated theft3210000201000
¬¬¬ Theft of car and other motor vehicle3 2082 4887200127592617797611302130320
¬¬¬¬ Theft of car1 5051 09241302431033032726315469280
¬¬¬¬ Theft of motor cycle and moped98776522209323717725617343710
¬¬¬¬ Other or unspecified theft of motor vehicle71663185010451102141751055430
¬¬ Other unlawful use and possession of property5303062240381361159779372530
¬ Other offences for profit15 3498 6936 65671 0222 9492 8643 0502 4121 8129033300
¬¬ Receipt of stolen property and money laundering405257148115107838769261160
¬¬¬ Receipt of stolen property, total39725614111510683866824950
¬¬¬¬ Receipt of stolen property38324214111510477836623950
¬¬¬¬ Aggravated receipt of stolen property141400026321000
¬¬¬ Money laundering, total8170010112210
¬¬¬¬ Money laundering4040010011010
¬¬¬¬ Aggravated money laundering4130000101200
¬¬¬ Other or unspecified receipt of stolen property and money laundering0000000000000
¬¬ Fraud, total14 1017 9256 17609442 7172 6422 7902 1931 6868392900
¬¬¬ Petty fraud and the like2 2761 2061 0700165401415470363284146320
¬¬¬ Fraud11 1266 2934 83307592 2052 1202 1681 7141 2956442210
¬¬¬ Aggravated fraud69942627302011110715211610749370
¬¬ Embezzlement, total686416270450991201501227140300
¬¬¬ Embezzlement597359238146931011311076133240
¬¬¬ Aggravated embezzlement89573234619191510760
¬¬ Misappropriation of funds11830011223110
¬¬ Corruption and influencing trade151320022344000
¬¬ Accounting offences5230012010100
¬¬ Creditor-related offences5320001110200
¬¬ Tax and duty offences11830014204000
¬¬¬ Tax evasion3210011100000
¬¬¬ Aggravated tax evasion0000000000000
¬¬¬ Other tax and duty offences8620003104000
¬¬ Violations of the Customs Act0000000000000
¬¬¬ Smuggling0000000000000
¬¬¬ Other violations of the Customs Act0000000000000
¬¬ Other business and economic offences1106149213219152018930
¬ Criminal damage8 2335 4072 82652341 3741 5861 7931 6251 0024811330
¬¬ Damage to property, total8 0975 3192 77842281 3631 5641 7631 5819904751290
¬¬¬ Petty damage to property82453429003114014518415110056170
¬¬¬¬ Petty damage to building2451431020333415342373060
¬¬¬¬ Petty damage to motor vehicle and other means of transport (from 1.10.2015)3842581260178678897029960
¬¬¬¬ Other or unspecified petty damage to property1951336201121264239341750
¬¬¬ Damage to property6 9034 5192 38441931 1611 3441 5071 3508393971080
¬¬¬¬ Damage to building1 7511 104647012200291383367287162490
¬¬¬¬ Damage to motor vehicle and other means of transport4 4802 9971 4830161899951958847452183290
¬¬¬¬ Other or unspecified damage to property6724182544206210216613610052300
¬¬¬ Aggravated damage to property3702661040462757280512240
¬¬¬¬ Aggravated damage to building12385380115241930201220
¬¬¬¬ Aggravated damage to motor vehicle and other means of transport23016862034649504427920
¬¬¬¬ Other aggravated damage to property171340012364100
¬¬ Public danger from fire and other criminal damage1368848161122304412640
¬ Violence and maltreatment30 04616 38513 6613 4265 2597 1755 3984 3152 7181 17141911550
¬¬ Offences of violence18 00710 3457 6623 1243 4414 5482 9482 0131 2064841615626
¬¬¬ Assault, total10 2106 2903 9207872 0223 0291 8121 2588043321153120
¬¬¬¬ Assault9 7425 9543 7887731 9362 8731 7171 1887753191122920
¬¬¬¬ Aggravated assault468336132148615695702913320
¬¬¬ Bodily harm, total2 1161 77434233327756434321167581523
¬¬¬¬ Bodily harm1 7711 48628522288654345278126431221
¬¬¬¬ Grievous bodily harm34528857113910289434115302
¬¬¬ Murder2815130067464010
¬¬¬ Attempted murder553916342015334210
¬¬¬ Unintentional bodily harm or manslaughter49292018745126420
¬¬¬¬ Unintentional bodily harm38231516635103310
¬¬¬¬ Manslaughter11650211023110
¬¬¬ Maltreatment in close relations, total5 0511 8863 1652 2921 0615705443251595822173
¬¬¬¬ Maltreatment in close relations4 8781 8203 0582 1911 0325515313171585622173
¬¬¬¬ Aggravated maltreatment in close relations17366107101291913812000
¬¬¬ Assault of public servant28919891061098553279000
¬¬¬ Other or unspecified offences of violence209114958135147442813320
¬¬ Threats, total5 7483 2752 473787771 3021 1951 161765341110181
¬¬¬ Threats (from 1.10.2015)4 7502 7292 021706091 09997097163228496181
¬¬¬ Aggravated threats (from 1.10.2015)2811641175605960373718500
¬¬¬ Threats against public servant38219818403891101035521100
¬¬¬ Other or unspecified threats33518415131055555504118800
¬¬ Robbery and extortion912736176117826017213691472340
¬¬¬ Robbery59948911011291681168454261740
¬¬¬ Aggravated robbery15712235022582525159300
¬¬¬ Extortion155125300273331272212300
¬¬¬ Other or unspecified robbery and extortion1010010000000
¬¬ Coercion1667987058333120138300
¬¬ Deprivation of liberty104495562132191463210
¬¬ Offences within family relations and the like30812518311831435727811022
¬¬ Reckless behaviour and stalking4 7611 7622 99999742944968939627286119361
¬¬ Human trafficking381325010138421000
¬¬ Terrorism and terror-related offences2110100100000
¬¬ Other violence and maltreatment0000000000000
¬ Sexual offences5 7581 1354 6231 0763 03993831018761231110103
¬¬ Rape, total2 1852761 909447923485162832264449
¬¬¬ Rape2 1272691 858437897474154812264448
¬¬¬¬ Rape, children under 14 years of age707182525416249000000042
¬¬¬¬ Rape, other or unspecified age1 420871 3332164847415481226446
¬¬¬ Aggravated rape587511026118200001
¬¬¬¬ Aggravated rape, children under 14 years of age (from 1.10.2015)10194500000001
¬¬¬¬ Aggravated rape, other or unspecified age48642621118200000
¬¬ Attempted rape10029812635201431000
¬¬ Sexual intercourse through abuse of position of trust10542630542911522110
¬¬ Sexual intercourse with a child aged 14-15 years321622595290000000026
¬¬ Sexual intercourse within family relations1121993673650300001
¬¬ Sexual act1 13229883431657715336251020112
¬¬¬ Sexual act with a child under 16 years of age733259474298423000000012
¬¬¬ Other sexual act without consent39939360181541533625102010
¬¬ Sexually abusive behaviour1 165256909115709181624619106413
¬¬¬ Sexually abusive behaviour with a child under 16 years of age (from. 1.10.2015)56019836287460000000013
¬¬¬ Sexually abusive behaviour, other or unspecified age605585472824918162461910640
¬¬ Other or unspecified sexual offences63818045812542450191152002
¬ Drug and alcohol offences36422713736071568150261610
¬¬ Narcotic offences84503401223132184300
¬¬¬ Narcotics, Act relating to medicinal goods etc.211560343720200
¬¬¬¬ Narcotics, use7430200310100
¬¬¬¬ Narcotics, minor possession141130143410100
¬¬¬ Narcotics, Penal Code, total6335280919101464100
¬¬¬¬ Narcotic offences, Penal Code593227091891354100
¬¬¬¬ Aggravated narcotic offences, Penal Code4310011110000
¬¬ Doping0000000000000
¬¬¬ Doping, Act relating to medicinal goods etc.0000000000000
¬¬¬ Doping, Penal Code0000000000000
¬¬ Driving under the influence2301567431743405340211210
¬¬¬ Driving under the influence, road traffic2241527231743405038201210
¬¬¬ Driving under the influence, other6420000321000
¬¬ Violations of the Alcohol Act, total36171902811410100
¬¬¬ Violations of the Alcohol Act36171902811410100
¬¬¬ Aggravated violations of the Alcohol Act0000000000000
¬¬ Other or unspecified drug and alcohol offences144100342311000
¬ Public order and integrity violations6 7303 7103 020525031 4321 4841 350957583270990
¬¬ Public order violations8255682572772071701541076827130
¬¬¬ Breach of the peace, total419302117135154100683020740
¬¬¬¬ Regional public order statute, urinating and other9630022320000
¬¬¬¬ Breach of the peace under self-induced intoxication2181645412295543096010
¬¬¬¬ Other or unspecified breach of the peace192132600135744351914730
¬¬¬ Weapons, fire and explosives legislation40626614014253708677482090
¬¬¬¬ Bearing arms in a public place39261311079642000
¬¬¬¬ Other or unspecified weapons offences67452201611131264320
¬¬¬¬ Fire and explosives legislation30019510501635486867421770
¬¬ Violations of public authority1 365714651321052663033201939935120
¬¬¬ Obstructing and counteracting public authority692213479107415614015793381680
¬¬¬¬ Obstructing and harrassing a public servant84394501301421152100
¬¬¬¬¬ Harrassing a public servant75344101251219152100
¬¬¬¬¬ Obstructing a public servant9540052200000
¬¬¬¬ Counteracting legal action and criminal prosecution608174434107312612613678361580
¬¬¬¬¬ Obligation of identification to public authority2200110000000
¬¬¬¬¬ Violation of exclusion order469993709529310910057301360
¬¬¬¬¬ Other order issued by police and other authority9540032111010
¬¬¬¬¬ Counteraction of the execution of sentences2110010100000
¬¬¬¬¬ Other counteraction of legal action and criminal prosecution1266759120281534205210
¬¬¬ Perjury and false accusation5124061063238813513273431320
¬¬¬¬ Perjury1048123051621281712500
¬¬¬¬ False accusation40832583318721141045631820
¬¬¬ Immigration legislation11740151101110
¬¬¬¬ Violation of entry ban0000000000000
¬¬¬¬ Assistance of illegal entry and stay2110020000000
¬¬¬¬ Other or unspecified immigration legislation9630131101110
¬¬¬ Misconduct and misuse of public authority1106347751619262014210
¬¬¬ Other or unspecified violation of public authority40251512218473300
¬¬ Violations of integrity4 5402 4282 112183219591 011876657416208740
¬¬¬ Document and ID offences2 8631 5861 2772191645685547393246116380
¬¬¬¬ Document forgery248152960241585453241060
¬¬¬¬¬ Document forgery, use875928001818151911240
¬¬¬¬¬ Document forgery, production and procurement1619368022340393413820
¬¬¬¬ Counterfeiting2919100108772310
¬¬¬¬ ID offences (from 1.10.2015)2 5241 3791 145218459160247532821399300
¬¬¬¬¬ ID offences, handling (from 1.10.2015)34117616502281765948351460
¬¬¬¬¬ ID offences, use (from 1.10.2015)2 1831 203980216251052641628017885240
¬¬¬¬ Other or unspecified document and ID offences6236260413171157410
¬¬¬ Unauthorised access and stay84047436603014015716814711264220
¬¬¬¬ Trespassing, building and other place59936623308871081161198853200
¬¬¬¬ Unauthorised access to computer and communication system24110813302253495228241120
¬¬¬ Invasion of privacy45316229165695859467321170
¬¬¬ Hate speech and discrimination1378156017464020102200
¬¬¬ Other or unspecified violation of integrity247125122102733444740241570
¬ Traffic offences5 9693 5882 3811645991 0241 0551 1219905982921260
¬¬ Road traffic offences5 9493 5732 3761645971 0231 0541 1199825932911260
¬¬¬ Non-possession of driving licence29191011161025210
¬¬¬ Speeding2110001000100
¬¬¬ Personal injury1 8841 03784791283298284278265194115760
¬¬¬ Other or unspecified road traffic offences4 0342 5161 51872313724763831715394173490
¬¬ Other transport and traffic legislation201550211285100
¬ Other offences1 5161 033483327123928831229919665140
¬¬ Offences against nature and the environment85744541231409314019417212651100
¬¬¬ Poisoning as a danger to public health and serious environmental offences10820001232110
¬¬¬ Hunting and fishing offences292450104696210
¬¬¬ Other offences against nature and the environment8184134053139931351861601184880
¬¬ Work environment legislation5805354502914013310610659610
¬¬ Other or unspecified penal legislation79532612615122111830

Table 9 
Victims (persons) of property theft, by sex and one-year age group. Absolute figures and per 1 000 population

Victims (persons) of property theft, by sex and one-year age group. Absolute figures and per 1 000 population
Victims (persons) of property theftVictims (persons) of property theft per 1 000 population
Both sexesMalesFemalesBoth sexesMalesFemales
2017
Total67 71839 81227 90612.915.010.7
0 years1010.00.00.0
1 year0000.00.00.0
2 years0000.00.00.0
3 years0000.00.00.0
4 years2110.00.00.0
5 years3210.00.10.0
6 years2200.00.10.0
7 years6240.10.10.1
8 years5230.10.10.1
9 years248160.40.20.5
10 years2818100.40.60.3
11 years5236160.81.10.5
12 years6635311.11.11.0
13 years14787602.42.72.0
14 years174108662.93.52.2
15 years2471391084.04.33.6
16 years4442701746.88.05.5
17 years6543662889.910.79.1
18 years1 26063662419.318.919.8
19 years1 28765663119.319.019.7
20 years1 53578974622.622.422.7
21 years1 59581578023.523.123.9
22 years1 73390882525.525.825.1
23 years1 62286575723.624.422.7
24 years1 73696577124.626.422.6
25 years1 73092280823.824.822.8
26 years1 68992976022.724.520.7
27 years1 7651 01674923.726.820.5
28 years1 7231 03369023.227.418.9
29 years1 54891463421.525.117.8
30 years1 48789459320.624.116.9
31 years1 38084853219.423.315.4
32 years1 34079354719.021.915.9
33 years1 31378552818.721.615.6
34 years1 33981852118.922.415.2
35 years1 34082151919.423.115.4
36 years1 33780852919.022.215.6
37 years1 28174753418.520.815.9
38 years1 29176752418.721.515.8
39 years1 27977250719.022.315.6
40 years1 27578149418.521.914.9
41 years1 28874953918.220.715.7
42 years1 46186259919.922.916.7
43 years1 52889163720.723.417.9
44 years1 45985560419.221.816.3
45 years1 51091359719.823.416.1
46 years1 57893664220.924.217.5
47 years1 40683257418.321.115.3
48 years1 39684655018.321.614.8
49 years1 35981754218.421.515.0
50 years1 24876748117.020.213.5
51 years1 23977946017.120.913.1
52 years1 25575649917.720.614.5
53 years1 08369139215.919.911.7
54 years1 03062540515.518.412.5
55 years95857937914.717.411.9
56 years88259029213.717.99.3
57 years82552430112.815.99.6
58 years78250228012.315.69.0
59 years75647827812.215.39.1
60 years70144126011.214.08.4
61 years68044323711.214.57.9
62 years64942122811.014.27.7
63 years5673891789.813.46.1
64 years57636321310.112.77.5
65 years4683001688.711.06.3
66 years4873141738.911.46.3
67 years4983321669.112.26.1
68 years4512941578.210.75.7
69 years3912551367.19.34.9
70 years4252531727.59.16.0
71 years3712331387.49.65.4
72 years3091891206.68.25.0
73 years3131861277.69.36.0
74 years244152926.58.54.7
75 years207121866.58.15.1
76 years188120685.88.04.0
77 years16596695.46.94.2
78 years15278745.46.14.8
79 years11763544.55.43.8
80 years or older9764195574.45.04.0
Unknown age000......

Table 10 
Victims (persons) of property theft, by sex, age and place of residence (county). Absolute figures and per 1 000 population

Victims (persons) of property theft, by sex, age and place of residence (county). Absolute figures and per 1 000 population
TotalMalesFemales0-9 years10-19 years20-29 years30-39 years40-49 years50-59 years60-69 years70-79 years80 years or olderUnknown age
2017
Absolute figures
Total67 71839 81227 906434 35916 67613 38714 26010 0585 4682 4919760
The whole country66 94839 33327 615434 33416 47513 24414 1289 9335 3692 4529700
Østfold3 7152 2121 5030273746644845647333157700
Akershus8 2614 8363 42565971 6621 4062 0261 4536413291410
Oslo14 9028 4586 444177274 2313 9722 7041 7659113971780
Hedmark1 9101 1317790119425264423325210110340
Oppland1 413828585111537620328821212968210
Buskerud3 1591 8021 3573234660592717508251142520
Vestfold3 0181 8141 2040209621496728517261145410
Telemark2 2601 3988621137457349519402255109310
Aust-Agder1 38084553529029124131821913362240
Vest-Agder2 7751 6841 0911208597481601460255124480
Rogaland6 6453 9482 69714611 4611 4161 496963557206840
Hordaland6 5363 8382 69844471 9101 2611 230902516193730
Sogn og Fjordane60637722917519373109754226120
Møre og Romsdal1 7331 025708212947927232624117973320
Sør-Trøndelag (-2017)4 0762 4371 63921601 197800867556317120570
Nord-Trøndelag (-2017)9725574151992411612011606137110
Nordland1 490893597010241723329921213667240
Troms - Romsa1 45285160109536127030522111756270
Finnmark - Finnmárku642398244157150109126946431100
Svalbard3120001011000
Norway, unknown county0000000000000
Abroad, without known county765476289025201142132124983760
County not stated5320001011200
Per 1 000 population
Total12.915.010.70.16.823.419.119.215.09.66.54.4..
The whole country12.714.810.60.16.823.218.919.014.89.46.44.4..
Østfold12.715.110.30.07.621.518.519.816.29.66.55.3..
Akershus13.716.011.40.17.524.418.121.417.810.67.86.3..
Oslo22.325.419.30.211.735.731.628.923.916.411.38.5..
Hedmark9.711.57.90.05.218.412.615.711.98.06.13.1..
Oppland7.58.76.20.15.116.410.010.98.15.34.02.1..
Buskerud11.312.89.80.16.919.916.517.413.87.86.54.3..
Vestfold12.214.79.70.06.921.416.820.615.38.87.23.6..
Telemark13.016.110.00.16.521.418.221.317.111.67.33.6..
Aust-Agder11.814.49.20.16.020.417.119.314.69.56.95.0..
Vest-Agder15.118.211.90.08.723.720.623.919.913.19.66.3..
Rogaland14.116.511.60.07.522.720.722.516.812.37.35.1..
Hordaland12.614.610.50.17.025.217.617.314.49.75.53.3..
Sogn og Fjordane5.56.74.20.15.114.06.07.75.23.23.02.0..
Møre og Romsdal6.57.65.40.13.814.48.49.17.15.63.52.4..
Sør-Trøndelag (-2017)12.815.110.50.14.323.818.820.114.39.65.44.5..
Nord-Trøndelag (-2017)7.18.06.10.15.514.110.711.28.93.63.21.6..
Nordland6.17.35.00.03.413.38.69.36.54.53.22.0..
Troms - Romsa8.810.17.40.04.815.113.113.310.46.14.54.0..
Finnmark - Finnmárku8.410.26.60.16.013.912.411.59.37.15.63.4..
Svalbard..........................
Norway, unknown county..........................
Abroad, without known county..........................
County not stated..........................

Table 11 
Victims (persons) of property theft, by place of residence (county) and victimisation in own place of residence (municipality). Absolute figures and per 1 000 population

Victims (persons) of property theft, by place of residence (county) and victimisation in own place of residence (municipality). Absolute figures and per 1 000 population
TotalIn own place of residence (municipality)Outside own place of residence (municipality)Unknown place of residence (municipality)
2017
Absolute figures
Total67 71843 03223 916770
The whole country66 94843 03223 9160
Østfold3 7152 2401 4750
Akershus8 2614 1404 1210
Oslo14 90211 7113 1910
Hedmark1 9101 0398710
Oppland1 4136647490
Buskerud3 1591 7381 4210
Vestfold3 0181 7871 2310
Telemark2 2601 3529080
Aust-Agder1 3808705100
Vest-Agder2 7751 8958800
Rogaland6 6454 2552 3900
Hordaland6 5364 5481 9880
Sogn og Fjordane6062273790
Møre og Romsdal1 7338738600
Sør-Trøndelag (-2017)4 0763 0001 0760
Nord-Trøndelag (-2017)9725284440
Nordland1 4908616290
Troms - Romsa1 4529425100
Finnmark - Finnmárku6423602820
Svalbard3210
Norway, unknown county0000
Abroad, without known county76500765
County not stated5005
Per 1 000 population
Total12.98.24.5..
The whole country12.78.24.5..
Østfold12.77.65.0..
Akershus13.76.96.8..
Oslo22.317.64.8..
Hedmark9.75.34.4..
Oppland7.53.54.0..
Buskerud11.36.25.1..
Vestfold12.27.25.0..
Telemark13.07.85.2..
Aust-Agder11.87.54.4..
Vest-Agder15.110.34.8..
Rogaland14.19.05.1..
Hordaland12.68.73.8..
Sogn og Fjordane5.52.13.4..
Møre og Romsdal6.53.33.2..
Sør-Trøndelag (-2017)12.89.53.4..
Nord-Trøndelag (-2017)7.13.83.2..
Nordland6.13.52.6..
Troms - Romsa8.85.73.1..
Finnmark - Finnmárku8.44.73.7..
Svalbard........
Norway, unknown county........
Abroad, without known county........
County not stated........

Table 12 
Victims (persons) of property theft, by number of property thefts, sex and age. Absolute figures and per cent

Victims (persons) of property theft, by number of property thefts, sex and age. Absolute figures and per cent
Total1 offence2 offences3 offences4 or more offences
2017
Absolute figures
Total67 71864 3913 02426241
Sex
Males39 81237 7551 87316222
Females27 90626 6361 15110019
Age
0-9 years4343000
10-19 years4 3594 19915820
20-29 years16 67615 7588238510
30-39 years13 38712 634684618
40-49 years14 26013 5036915313
50-59 years10 0589 614397434
60-69 years5 4685 283168143
70-79 years2 4912 4077923
80 years or older9769502420
Unknown age00000
Per cent
Total100.095.14.50.40.1
Sex
Males100.094.84.70.40.1
Females100.095.44.10.40.1
Age
0-9 years100.0100.00.00.00.0
10-19 years100.096.33.60.00.0
20-29 years100.094.54.90.50.1
30-39 years100.094.45.10.50.1
40-49 years100.094.74.80.40.1
50-59 years100.095.63.90.40.0
60-69 years100.096.63.10.30.1
70-79 years100.096.63.20.10.1
80 years or older100.097.32.50.20.0
Unknown age.....

Table 13 
Victims (persons) of violence and maltreatment, by sex and one-year age group. Absolute figures and per 1 000 population

Victims (persons) of violence and maltreatment, by sex and one-year age group. Absolute figures and per 1 000 population
Victims (persons) of violence and maltreatmentVictims (persons) of violence and maltreatment per 1 000 population
Both sexesMalesFemalesBoth sexesMalesFemales
2017
Total32 19917 47714 7226.16.65.6
0 years4032091946.86.86.8
1 year15889692.62.92.4
2 years2221191033.73.83.5
3 years3451761695.75.75.7
4 years4062191876.56.86.1
5 years3772021756.06.25.7
6 years4332541796.77.65.6
7 years4272521756.57.45.4
8 years3792141655.86.45.2
9 years3301781525.25.54.9
10 years3341891455.25.84.7
11 years3131861275.05.94.2
12 years3541961585.76.15.2
13 years5293521778.511.15.8
14 years5953422539.811.08.5
15 years5883612279.411.37.5
16 years69940429510.712.09.3
17 years66337329010.110.99.2
18 years81048232812.414.310.4
19 years76245430811.513.29.6
20 years85949036912.613.911.2
21 years79045533511.712.910.3
22 years80045334711.812.910.5
23 years78141636511.411.710.9
24 years78944334611.212.110.2
25 years77242135110.611.39.9
26 years79643036610.711.410.0
27 years78140637510.510.710.3
28 years7213663559.79.79.7
29 years6653363299.29.29.2
30 years6803703109.410.08.8
31 years6473343139.19.29.0
32 years6213173048.88.88.8
33 years5902972938.48.28.7
34 years6103003108.68.29.0
35 years5802683128.47.69.2
36 years5482912577.88.07.6
37 years5272732547.67.67.6
38 years5472612867.97.38.6
39 years4782292497.16.67.7
40 years5032652387.37.47.2
41 years4722272456.76.37.1
42 years4181902285.75.06.4
43 years5122352776.96.27.8
44 years4622412216.16.26.0
45 years4502272235.95.86.0
46 years4832472366.46.46.4
47 years4832382456.36.06.5
48 years4712542176.26.55.9
49 years4292341955.86.25.4
50 years4222331895.76.15.3
51 years3771961815.25.25.2
52 years3481931554.95.34.5
53 years3061621444.54.74.3
54 years3031541494.64.54.6
55 years3141821324.85.54.1
56 years223128953.53.93.0
57 years229137923.64.22.9
58 years210121893.33.82.8
59 years203107963.33.43.1
60 years210131793.44.22.5
61 years166103632.73.42.1
62 years14998512.53.31.7
63 years13582532.32.81.8
64 years13180512.32.81.8
65 years11465492.12.41.8
66 years10060401.82.21.5
67 years9660361.82.21.3
68 years7549261.41.81.0
69 years8750371.61.81.3
70 years7336371.31.31.3
71 years6638281.31.61.1
72 years5634221.21.50.9
73 years6638281.61.91.3
74 years3619171.01.10.9
75 years3721161.21.40.9
76 years3520151.11.30.9
77 years191180.60.80.5
78 years2816121.01.20.8
79 years2811171.11.01.2
80 years or older11851670.50.60.5
Unknown age472621......

Table 14 
Victims (persons) of violence and maltreatment, by sex, age and place of residence (county). Absolute figures and per 1 000 population

Victims (persons) of violence and maltreatment, by sex, age and place of residence (county). Absolute figures and per 1 000 population
TotalMalesFemales0-9 years10-19 years20-29 years30-39 years40-49 years50-59 years60-69 years70-79 years80 years or olderUnknown age
2017
Absolute figures
Total32 19917 47714 7223 4805 6477 7545 8284 6832 9351 26344411847
The whole country31 79717 24914 5483 4585 5807 6085 7454 6412 9111 25243711847
Østfold2 0071 050957236331430377306199784172
Akershus3 3461 8921 45438168972555349930012751138
Oslo5 1822 9632 2194747621 3301 18371045517964214
Hedmark1 0325354971151782531401759857664
Oppland84043440610017916512913472381562
Buskerud1 454791663153244370259235128432020
Vestfold1 450774676146233337256225149781556
Telemark1 19364155278191315189191145641550
Aust-Agder785423362921741561181158240710
Vest-Agder1 376751625175243319234191135601045
Rogaland2 6551 4431 2122924856635213612187427113
Hordaland2 9301 6071 32323643073257445631012748134
Sogn og Fjordane51427623870107116727142221022
Møre og Romsdal1 29166962218824030220817793542441
Sør-Trøndelag (-2017)1 734914820244325427274225150602540
Nord-Trøndelag (-2017)688376312831631641018152261314
Nordland1 620812808234323361271222138501641
Troms - Romsa1 03554848710918126717414789461750
Finnmark - Finnmárku6633503135210217511112056291341
Svalbard2020011000000
Norway, unknown county0000000000000
Abroad, without known county396223173176614683422411700
County not stated6515100000000
Per 1 000 population
Total6.16.65.65.68.910.98.36.34.42.21.20.5..
The whole country6.06.55.65.58.810.78.26.34.32.21.10.5..
Østfold6.97.26.57.29.212.410.87.25.02.21.70.5..
Akershus5.56.34.84.98.610.67.15.33.72.11.20.6..
Oslo7.88.96.65.812.211.29.47.66.23.21.81.0..
Hedmark5.35.55.15.87.710.96.76.53.62.20.30.6..
Oppland4.44.64.35.27.97.26.45.12.71.60.90.6..
Buskerud5.25.64.84.77.211.17.25.73.51.30.90.2..
Vestfold5.96.35.55.37.611.68.66.44.42.60.70.4..
Telemark6.97.46.44.29.114.79.97.96.22.91.00.6..
Aust-Agder6.77.26.36.511.610.98.47.05.52.90.80.2..
Vest-Agder7.58.16.87.510.112.710.07.65.83.10.80.5..
Rogaland5.66.05.24.57.910.37.65.43.81.61.00.7..
Hordaland5.66.15.23.76.89.78.06.44.92.41.40.6..
Sogn og Fjordane4.74.94.45.57.28.45.95.02.91.71.20.3..
Møre og Romsdal4.84.94.86.17.19.16.44.92.71.71.20.3..
Sør-Trøndelag (-2017)5.55.75.26.58.88.56.45.23.91.81.10.3..
Nord-Trøndelag (-2017)5.05.44.65.29.19.66.74.52.91.51.10.1..
Nordland6.76.66.78.910.911.510.06.94.21.70.80.3..
Troms - Romsa6.26.56.05.99.111.28.56.44.22.41.40.7..
Finnmark - Finnmárku8.78.98.56.310.716.312.610.95.53.22.31.3..
Svalbard..........................
Norway, unknown county..........................
Abroad, without known county..........................
County not stated..........................

Table 15 
Victims (persons) of violence and maltreatment, by place of residence (county) and victimisation in own place of residence (municipality). Absolute figures and per 1 000 population

Victims (persons) of violence and maltreatment, by place of residence (county) and victimisation in own place of residence (municipality). Absolute figures and per 1 000 population
TotalIn own place of residence (municipality)Outside own place of residence (municipality)Unknown place of residence (municipality)
2017
Absolute figures
Total32 19923 8137 984402
The whole country31 79723 8137 9840
Østfold2 0071 3716360
Akershus3 3461 9771 3690
Oslo5 1824 5526300
Hedmark1 0327183140
Oppland8405762640
Buskerud1 4549405140
Vestfold1 4501 0244260
Telemark1 1938703230
Aust-Agder7855772080
Vest-Agder1 3761 0443320
Rogaland2 6551 9427130
Hordaland2 9302 3345960
Sogn og Fjordane5143701440
Møre og Romsdal1 2919713200
Sør-Trøndelag (-2017)1 7341 3653690
Nord-Trøndelag (-2017)6885081800
Nordland1 6201 3123080
Troms - Romsa1 0358252100
Finnmark - Finnmárku6635351280
Svalbard2200
Norway, unknown county0000
Abroad, without known county39600396
County not stated6006
Per 1 000 population
Total6.14.51.5..
The whole country6.04.51.5..
Østfold6.94.72.2..
Akershus5.53.32.3..
Oslo7.86.80.9..
Hedmark5.33.71.6..
Oppland4.43.01.4..
Buskerud5.23.41.8..
Vestfold5.94.11.7..
Telemark6.95.01.9..
Aust-Agder6.74.91.8..
Vest-Agder7.55.71.8..
Rogaland5.64.11.5..
Hordaland5.64.51.1..
Sogn og Fjordane4.73.41.3..
Møre og Romsdal4.83.61.2..
Sør-Trøndelag (-2017)5.54.31.2..
Nord-Trøndelag (-2017)5.03.71.3..
Nordland6.75.41.3..
Troms - Romsa6.25.01.3..
Finnmark - Finnmárku8.77.01.7..
Svalbard........
Norway, unknown county........
Abroad, without known county........
County not stated........

Table 16 
Victims (persons) of violence and maltreatment, by number of offences of violence and maltreatment, sex and age. Absolute figures and per cent

Victims (persons) of violence and maltreatment, by number of offences of violence and maltreatment, sex and age. Absolute figures and per cent
Total1 offence2 offences3 offences4 or more offences
2017
Absolute figures
Total32 19929 2652 410374150
Sex
Males17 47715 9371 27019179
Females14 72213 3281 14018371
Age
0-9 years3 4803 239227140
10-19 years5 6475 1753837514
20-29 years7 7546 96562411649
30-39 years5 8285 2304917136
40-49 years4 6834 2333635829
50-59 years2 9352 6762122918
60-69 years1 2631 1757693
70-79 years4444142721
80 years or older118116200
Unknown age4742500
Per cent
Total100.090.97.51.20.5
Sex
Males100.091.27.31.10.5
Females100.090.57.71.20.5
Age
0-9 years100.093.16.50.40.0
10-19 years100.091.66.81.30.2
20-29 years100.089.88.01.50.6
30-39 years100.089.78.41.20.6
40-49 years100.090.47.81.20.6
50-59 years100.091.27.21.00.6
60-69 years100.093.06.00.70.2
70-79 years100.093.26.10.50.2
80 years or older100.098.31.70.00.0
Unknown age100.089.410.60.00.0

About the statistics

The statistics include all offences registered by the police and prosecution authority during the statistical year. Breakdowns by type of victim and by the victims’ (persons) sex, age, place of residence (county, size of municipality and centrality), type of offence and the number offences.

 

Definitions

Definitions of the main concepts and variables

Offences reported to the police are defined as: all offences registered by the police and the prosecution authority as reported in the course of the statistical year. The fact that an offence is reported to the police in a specific year does not necessarily mean the offence was committed in the same year. (93.8 and 93.2 per cent of all offences reported to the police in 2004 and 2005 respectively had a final committed date in 2004 and 2005). Violations of the Road Traffic Act or Customs Act that are settled by on the spot fines are not regarded as offences reported to the police, and therefore not included in the statistics (see Population under Production). Cases reported to and investigated and completed by the Norwegian Bureau for the Investigation of Police Affairs are not included in the data basis for the statistics on victims of offences reported to the police (see Coherence with other statistics under Production).

Offences in crime statistics are defined as acts that are described by law, at any given time, as punishable.To date, more than 1 260 different codes have been used in BL/STRASAK/PAL, of which about 660 different codes are actively used today to classify offences. Following the Penal Code of 2005 coming into effect on 1 October 2015, around 430 new codes were introduced into the police’ central registration system for offences. These replaced the codes from the Penal Code of 1902, which are about the same in numbers. Consequentially, Statistics Norway now use the new version of Standard for types of offences, Type of offence 2015, to classify offences. From the release of the year 2015 and onwards, the statistics thus contain the following groupings of offences (see also Statistical Classifications and Code Lists – KLASS)

Group of offence, where offences are is divided into nine main groups. These offence groups of offences are further divided into several underlying, more specified, types of offences (see Type of offence).

Type of offence, where offences are divided into about 150 unique types of offences. Similar types of offences are grouped together to a varying degree of aggregated levels, where all levels are included in the nine groups of offences.

Category of offence was a classification of offences used in the statistics for the period 2004-2014, where offences were classified as either a crime or a misdemeanor. For more information on this expired classification, see the version Types of offences 2006 in KLASS and About the statistics 2014 for Offences reported to the police.

A crime was normally a punishable act of a more serious nature than a misdemeanour. Crimes and misdemeanours under the Penal Code of 1902 are referred to in the second and third part of the act respectively. According to the Penal Code of 1902 § 2, punishable acts described in other laws were crimes if they carried a sentence of more than three months' imprisonment, unless otherwise decided. Other punishable acts were misdemeanours. Some categories of offences (e.g. criminal damage and some special laws) could, by law, be both a crime and a misdemeanour. If the offence category was not given based on the offence code applied, the police’s registration of offence category was used in the statistics

Type of victim: All offences reported to the police are classified in the statistics according to the Type of victim registered in the case. All persons or other legal entities that are subjected to and registered as the victim of one or more offences are regarded as victims. An offence can either have a person, another legal entity (normally an enterprise) or have no victim - either because no party has been directly aggrieved (e.g. in some traffic or narcotic offences), or the victim registration is insufficient. In some cases, several victims are registered in the same case , which means that more than one was the victim of the same offence (despite registration principles of offences dictating that each victim should be registered as subjected to one separate offence). In such cases, all victims are kept and included in the tables on victims. If both persons and enterprises are victims in the same case and of the same offence, the person is chosen in preference to the enterprise in the classification of the type of victim.

A person (victim) is identified based on different information about him/her – e.g. date of birth, personal ID number, sex and name (as opposed to other legal entities, which are identified by organisation number and name). Where there is insufficient information on a person or enterprise/organisation, the victim is categorised as a person if a minimum of personal information is registered.

In some cases, a person is subjected to more than one offence (see tables in publication), and thereby registered as a victim more than once in the same statistical year. Tables on victims (persons) show the number of different persons that have been registered as a victim within the statistical year. In other words, one person counts only once as a victim during a statistical year. This also applies to persons without a personal ID number, provided they can be identified as the same person by means of date of birth, name, sex, place of residence and/or citizenship.

In tables on victims (persons), persons registered as a victim of more than one offence during the statistical year will be grouped by principal offence - which is the offence that according to the law can have the most severe penalty.

The tables on victims (persons) of violence and maltreatment include everyone who is registered with at least one offence in this group of offence. In other words, tables show all persons who have been subjected to at least one case of violence or mistreatment, and how many of this type of attack they are registered with during the year. These tables do not therefore indicate whether victims have also been exposed to other types of offences and/or if they have a principal offence in another group of offence. This also applies to tables on all victims (persons) of property theft.

Age is calculated based on date of birth and the date the offence was committed (the former is used first, and the latter is used if the former is not available). If information about the date the offence was committed is missing, the age is calculated by the date the offence was registered as reported to the police. Several legal provisions on the sexual abuse of children, unlike most other penal provisions in Norway, are specified with the age of the victim. In these cases, Statistics Norway has specified the age as unknown when register information requires a higher age than in the legal provision. With the exception of cases where dates are logically wrong (e.g. where the date of birth is after the date the offence was committed, or the age is too high), data from the register is used to calculate the age without further controls or revisions.

Place of residence (county, size of municipality and centrality) is defined based on the victim’s place of residence in the Central Population Register at the beginning of the year. If the person can only be identified in the register at the end of the year, this is the information that is used. For all persons who cannot be identified in the Central Population Register (by means of date of birth, personal ID number or name), information about citizenship, municipality of residence and postal country registered by the police is used.

Scene of crime (county) is defined based on the municipality or country in which the crime was committed, as stipulated in the police register. If the offence lacks information on the municipality and country in which the crime was committed, the scene of crime (such as municipality, county or Norway/abroad) is added based on other descriptions of the scene of crime (e.g. the police zone).

Exposure in municipality of residence entails a place of residence and scene of crime being registered with a valid municipality value, and the municipality of residence and the municipality of crime being identical. Where the municipality of residence is given, and the scene of crime is not registered as being in the same municipality, this will be classified in the statistics as exposure outside the municipality of residence . For places of residence abroad, unspecified or other invalid municipality of residence, no value is added for exposure in or outside the municipality of residence (remains unspecified). The statistics on exposure in or outside a municipality of residence may (partly due to the addition of place of residence, see above) be affected by relocation activity during the period between the point in time for the registered place of residence (normally the turn of the year) and the point in time that the offence is registered as being committed. Systematic differences between registered place of residence and actual address of residence can also arise.

Standard classifications

The following Statistics Norway standards are used:

Offence category (crimes and misdemeanours, an expired classification). See the standard Types of offences 2006 in Statistical Classifications and Code Lists.

Group of offence (cf. Standard for types of offences 2015, with underlying codes and associated appellation).

Type of offence (cf. Standard for types of offences 2015, with underlying codes and associated appellation).

Gender

Age (ten-year and one-year)

County (place of residence)

Size of municipality (place of residence) is a classification of the municipalities by population, and in the crime statistics a 7-tier classification is used. This classification has not been formalised as a Statistics Norway standard, but is used by Statistics Norway in various statistics areas.

Centrality (place of residence) is a standard regional classification of the municipalities’ geographic location in relation to communities of different sizes (4-tier). These are further divided into geographic location in relation to the provincial centres (9-tier).

In the crime statistics, both classifications according to the standard are used, i.e. the 4-tier and the more detailed 9-tier. In the 4-tier version of the standard for centrality, all municipalities in Norway are grouped with the central (3), somewhat central (2), less central (1) and least central (0) municipalities. The 9-tier version divides the most central (level 3) into a further three sub-groups, and each of the others (levels 0-2) into two sub-groups:

The provincial centers - i.e. Oslo, Bergen, Trondheim, Stavanger, Kristiansand and Tromsø – have the highest level (33, i.e. third sub-group of the most central level 3). The nearest municipalities are classified based on travel time to the centre of a provincial centre. Those within 35 minutes (for Oslo 45 minutes) have a higher level of centrality (32) than those with 36-75 minutes (for Oslo 46-90 minutes) travel time (31). Each of the levels of centrality 0-2 are further classified based on whether the travel time is more or less than 2.5 hours (for Oslo 3 hours) to the centre of the nearest provincial centre.

For the detailed content of this and other regional classifications used in the statistics, see the references to the database for standards.

Administrative information

Name and topic

Name: Victims of offences reported to the police
Topic: Social conditions, welfare and crime

Responsible division

Division for Income and Living Conditions Statistics

Regional level

National level and county level.

Frequency and timeliness

Annual statistics. Normally published in the second quarter after the statistics year.

International reporting

Not relevant. Few countries have statistics on victims based on offences reported to the police. Therefore, there is little demand for these statistics from the international agencies that Statistics Norway normally reports crime statistics to.

 

Microdata

Collected and revised data are stored in accordance with Statistics Norway’s standard for file storing (see Datadok): Raw data files and catalogues are kept as they were received from the Norwegian Police ICT Services (PIT). Files where the processing is complete, where they are ready and can be used for statistics production, are stored as both flat text files and SAS files, and documented in accordance with Statistics Norway’s prevailing requirements. All SAS files used in the processing and table production of the individual year are stored, and can thus be documented and reproduced.

Background

Background and purpose

Statistics Norway has in the past, in connection with an analysis project, published statistics on offences reported to the police (1995-1998) with information on victims ( Gundersen 2000 , in Norwegian only). However, these two sets of statistics are not directly comparable due to considerable differences in the data basis, processing and definitions of statistical units. The statistics on victims 2004 are therefore regarded as new statistics from Statistics Norway. Statistics on victims of offences reported to the police have been developed and produced under commission by the Ministry of Justice and the Police. The production of statistics based on data for previous statistical years was considered, but has not been carried out for reasons of quality. As from 2009, new variables and regional statistics have been added to the statistics (see Definitions and Comparability over time and space under Background).

The purpose of this project is to map who is exposed to offences and who reports offences to the police, by different demographic background variables and type of offence. By mapping victims and reporters of offences, we wish to form a better basis for describing crime, and simultaneously obtain a wider understanding of the judicial system. Offences that include violations of persons are of special interest and have the best quality of data, and the statistics therefore place a particular focus on these victims and the types of offences they are subjected to.

The statistics are now released with breakdowns of different types of offences which in principle are grouped in the same way as in the penal legislation, and are considered as a Standard of types of offences. Mainly, the standard corresponds to the divisions and terms in the current penal legislation, and classifies all offences included in the penal legislation and the special legislation (see Standard for types of offences in KLASS). From the year 2015 and onwards, the statistics is released with a new version of Standard for types of offences: Types of offences 2015, which is made as a consequence of the Penal Code of 2005 and the corresponding new codes for registering offences in all of the registers relevant to Statistics Norway’s crime statistics. The new standard replaces Standard for types of offences 2006. New breakdowns of offences are for certain tables in the StatBank made available with numbers dating back to 2003.

The principle division between crimes and misdemeanours has been discontinued in new Penal Code of 2005. Thus, from 2015 and onwards, this division is discontinued also in the statistics on offences reported to the police.

Users and applications

Important users are different departments within the judicial system and others working in relation to victims, several government ministries, academic environments such as criminology, the research and education sector, parliament (Storting) and the media. The statistics also serve as a basis for information to anyone else interested in the state and development within the field of crime.

Equal treatment of users

No external users have access to the statistics and analyses before they are published and accessible simultaneously for all users on ssb.no at 8 am. Prior to this, a notice is given in the Statistics Release Calendar. This is one of the most important Principles for Equal treatment of users in releasing statistics and analyses.

Coherence with other statistics

Victims of offences reported to the police are statistics under the subject Crime and the justice . Other annual statistics are Offences reported to the police , Offences investigated , Sanctions and Imprisonments . When using more than one set of crime statistics, it is important to be aware that the various parts do not necessarily refer to the same population of offences or persons. The investigation of an offence may be completed or a sanction given in another year than it was reported to the police. For an overall presentation of the crime statistics, see the publication Kriminalitet og rettsvesen 2009 (in Norwegian only).

Statistics on victims of offences reported to the police are an important supplement to the periodical mapping of exposure to and fear of crime in Survey of level of living, victimization and fear of crime and other surveys of victims (for example Ellingsen 2010, in Norwegian only).

The Norwegian Bureau for the Investigation of Police Affairs investigates cases where employees of the police or prosecuting authority are suspected of committing criminal offences in the course of duty. Offences which are investigated and completed by the Bureau without further prosecution or court proceedings are not included in the data basis for the statistics on offences reported to the police, victims of offences reported to the police and offences investigated. However, when such cases result in a sanction registered in the Criminal Record Register, they will be included in the statistics on sanctions. Furthermore, such cases are included in the statistics on imprisonments in the same manner as other criminal cases. A closer look at the offences registered by the Bureau in 2016 show that the vast majority of cases concern different types of misconduct and misuse of public authority (which in Statistics Norway’s crime statistics are classified as part of the group of offence Public order and integrity violations). The Bureau also investigates several other types of offences, including offences of violence and traffic offences.

The Bureau is an independent body, and is not organised as part of the police. The Bureau is administratively under the Ministry of Justice and Public Security, and professionally under the Director of Public Prosecutions (which also functions as the body of appeal for cases where prosecution is dropped and other types of prosecution decisions made by the Bureau). In their annual reports, the Bureau publishes statistics on offences reported and investigated over the course of the year.

Other related statistics from Statistics Norway are statistics on Causes of death (taken over by the Norwegian Institute of Public Health from the statistical year 2013) and statistics on Road traffic accidents involving personal injury . Murder statistics from KRIPOS (in Norwegian only) also include statistics on victims, but are arranged in a system based on a different definition of the sample (including year of crime and not registration). In some connections, users will be recommended to use the murder statistics from Kripos rather than the data on murder that now appears in Statistics Norway’s more general statistics on victims. For the statistical year 2006 and beyond, Statistics Norway has carried out a review and audit of all murder cases in relation to both the processing of reported offences and victims of offences reported to the police. Subsequent to these audits, the number of murders and victims, including demographic data, is approximately the same in the statistics from Kripos and Statistics Norway.

Legal authority

Statistics Act §§ 2-1, 2-2, 3-2 (forms/registers).

EEA reference

Not relevant

Production

Population

The statistics cover everyone with the role of "victim" in all reported offences registered in the course of the statistical year. Each registered offence normally constitutes one unit in the material. Where the report includes more than one offence, all matters that can constitute a separate point in the charge/indictment are registered. The number and type of reported offences in the statistics on victims should be identical to the number and type in the statistics on Offences reported to the police in the same year. Where an offence entails several different victims, all of them are retained for statistical purposes.

The statistics provide information on the type, number and scene of crime of the offences, as well as information on the type of victim and the victim’s sex, age and place of residence (see description of main concepts and variables under Definitions). The statistics do not include violations of the Road Traffic Act and the Customs Act where the sanction is an on the spot fine (see statistics on Sanctions ).

Data sources and sampling

The extraction is taken from the police analysis and leadership system (PAL), which covers all registered offences in the police districts in Norway, special agencies and higher prosecution authorities. The Norwegian Police ICT Services (PIT) is responsible for the output of the data. The data basis is the same as for statistics on offences reported to the police. In addition, data from the Central Population Register is used in the processing of the statistics (see Population statistics ). The Norwegian Bureau for the Investigation of Police Affairs investigates cases where employees of the police or prosecuting authority are suspected of committing criminal offences in the course of duty. The Bureau registers cases in a separate registry version of BL/STRASAK/PAL, and these cases are not included in the data basis for the statistics on victims of offences reported to the police (see Coherence with other statistics under Production).

See Population, Collection of data revision and estimations, Confidentiality, Comparability over time and space, and About the statistics for Offences reported to the police .

Collection of data, editing and estimations

The statistics are based on information from the central police registration system (BL/STRASAK/PAL), which contains all registered reports. Registration is initially made in a local database system (BL), after which the information is transferred to the central databases STRASAK/PAL. STRASAK/PAL is centrally updated the day after local registration in BL. Completing information on single cases in BL/STRASAK/PAL is carried out in the police and prosecution authorities’ own administrative registration system. Collecting data from STRASAK/PAL is carried out by the Norwegian Police ICT Services (PIT). The extraction from PAL is normally made about two weeks after the end of the statistical year.

 

The police registration systems include some validity controls of data. In addition, Statistics Norway performs its own controls and revisions of the material. For example: if there is insufficient information on which municipality the crime is committed in, other information from the register about the scene of crime is used. Duplicated (double entries) offences and victims are deleted, illogical valid values (for example dates) are revised or deleted. Data on individual cases, with a view to rectifying relatively extensive or major errors and omissions in the data basis, are in some cases retrieved from the Norwegian Police ICT Services (PIT), the police district or the National Bureau of Crime Investigation (Kripos). Since 2006, all murder cases have been controlled and revised (case by case) against information from Kripos and register data from the PIT. All identifiable persons (based on date of birth, personal ID number and/or name) are supplemented with information from Statistics Norway’s population files.

The police's validity controls and processing routines at Statistics Norway are further developed as required, and are aimed at continually improving the data material and the statistics to be published.

In the statistics, four units are included based on the data from the police registers (for a full description of concepts, variables and classifications, see Definitions):

  • The number of offences reported to the police including characteristics given, such as type of victim and group of offence (see statistics on Offences reported  to the police ).
  • The number of unique victims (persons) registered as a victim of one or more offences during the year, and the number of these persons with different characteristics, such as age, place of residence and number of offences they have been subjected to. For victims subjected to more than one offence during the year, the principal offence is attributed based on an approximate indicator on the basis of the minimum and maximum sentences, as well as other criminal procedure characteristics of the offence.
  • The number of unique victims of violence and maltreatment, and the number of these victims with different characteristics, such as age. For victims subjected to more than one incicent of violence and maltreatment during the year, the principal offence is used (as for victim above).
  • The number of unique victims of property theft, and the number of these persons with different characteristics, such as age. For victims subjected to more than one property theft during the year, the principal offence is used (as for victim above).

In addition, calculations of percentages and rates per 1 000 inhabitants are made (also for different ages, genders and regions). All rates per 1 000 inhabitants are calculated with figures for the population as of 1 January in the statistics year (see the population statistics . As a general rule, age is calculated based on date of birth and the date the offence was committed (see Definitions of the main concepts and variables under Definitions).

Seasonal adjustment

Not relevant

Confidentiality

The statistics contain personal data and information on punishable offences that is considered to be highly sensitive - and are managed by Statistics Norway accordingly. In the data basis used for statistical purposes, all information collected solely for processing purposes is deleted (e.g. name).

The data basis is adapted for one specific statistical purpose, and individual inquiries about use of data for other purposes are considered in relation to this. Data basis or crime statistics that are not published by Statistics Norway may be supplied. This type of assignment, however, has a limited scope, and confidentiality and data quality requirements must be met.

The statistics are only published at a higher regional level (most often the whole country), and when classified at lower levels (county) the offences are only published in larger categories – e.g. by offence (group of offence) or age (ten-year). It is not therefore necessary to mark cells with few units on account of anonymity (as for other crime statistics published using the same principles). When releasing statistics with few units, the protection of privacy is, however, considered on a case by case basis.

Comparability over time and space

The share of offences with information about victims varies somewhat in the different police districts and counties. This can be connected to varying registration practices in the different police districts, and will have a bearing on the comparability between counties with regard to place of residence or scene of crime.

The statistics on victims of offences reported to the police in 2004 is first volume. Statistics Norway intend, however, to publish annual statistics on victims of offences that in the future will be comparable over time and place. Some minor changes have taken place since 2004:

Changes to legislation that affect the content of the statistics directly and considerably shall, as far as Statistics Norway is aware of such changes, be highlighted in the tables in the years where such changes have taken place – and where this is relevant to corresponding statistics over time. For examples of this, see Victims of offences reported to the police, 2006 for the new provisions on ill treatment in family relations.

Since the statistics year 2006, all murder cases have been controlled and examined (case by case) against information from Kripos and register data from the Norwegian Police ICT Services (PIT). The murder figures are therefore somewhat lower than previous years, and the information on the murder victims more correct (see Coherence with other statistics under Background).

As from the statistics year 2009, the statistics contain the victims’ place of residence distributed by size of municipality and centrality, as well as exposure in or outside the municipality of residence (see Definitions of the main concepts and variables under Definitions).

Many regional standards are very stable over time, but reclassifications of these are also made – which in some cases is the determining factor for the content of the statistics. These can be either directly visible changes, which will appear in the statistics with a marked time break, or changes in the annual versions of standards that are not immediately apparent from the content of the individual tables. Changes in regional standards that are not directly visible are made when, for instance, a municipality changes county, when two municipalities merge or when the population in a municipality changes to such an extent that a different classification or size of municipality is required (see Definitions).

Introduction of the new penal code on 1 October 2015

After the new penal code (Penal Code of 2005) came into effect on 1 October 2015, the raw data from the police registers are changed. There are quite distinct differences in structure, language and content between the Penal Code of 1902 and the Penal Code of 2005, which is even more evident in the corresponding codes used for registering offences in the police’ central registration system. Code connected to both the new and the former penal code is used after 1 October 2015, due to the new legislation not having retroactive effect. Offences may be registered and processed long after they have been committed. This means that the Penal Code of 1902 and 2005 will appear in the data of all crime statistics for many years to come.

Criminal cases with violations of the provisions dating before the introduction of the new penal code (registered by former codes and appellation), will not always be possible to specify and classify in the same way as criminal cases with a violation of a corresponding provision from the Penal Code of 2005. Certain types of offences in Standard for types of offences 2015 will therefore exclusively contain violations of offences stemming from new penal legislation, and mainly consist of offences committed after 1 October 2015. In the standard, these will be indicated with “(from 1.10.2015)” in the classification name. Older offences which cannot be specified in the same way are placed in “other or unspecified” types of offences. The content of the statistics – and the possibilities of doing comparisons on the most detailed levels of the standard – will for certain types of offences therefore be mainly based on offences committed after 1.10.2015. This type of break in the time series will vary over time for the different types of offences, depending on which crime statistics you use. When such breaks in the time series are identified, the general recommendation is to use figures on a more aggregated level, which means less specified figures with a smaller degree of time series break. Se Standard for type of offences 2015.

For a detailed presentation of the new penal code, see the article “The new crime statistics” (in Norwegian only).

 

Accuracy and reliability

Sources of error and uncertainty

Statistics Norway can, to a certain extent, quality assure the data basis, but must - to a greater degree than in the statistics on perpetrators - use the information as it is in the police register at the time of extraction. Statistics Norway has a reasonably clear impression that the police registration of victims does not follow such strict requirements for precise and correct identification of role, or filling in of information on the victim compared to the registration of perpetrators. This means there is greater uncertainty in relation to the level of accuracy of the statistics on victims, both with regard to the scope of victims and whether the right person is identified as the victim in the case. However, the personal information on persons designated as victims in 2004-2010 had a very high level of completion - and by using several variables and sources there are very few victims who have an unknown value for the most central demographic variables (sex, age and place of residence) in the statistics.

The controls, revisions and deletions made by Statistics Norway are largely based on general principles - without making individual assessments in each individual case. In some special cases, the general principles will not be applicable and may create new errors that are not in the basis. This may, for example, occur in connection with the deletion of duplicates. However, with the help of thorough tests of this kind of procedure, Statistics Norway believes it has limited this kind of error to an absolute minimum.

Insufficient or incorrect information is not corrected through error reports to the Norwegian Police ICT Services (PIT)or the police districts, but revisions are made through dialogues with PDMT due to some system errors in the register. In special cases, a revision is carried out where relatively extensive or major errors or omissions have been found in the basis, and this particularly applies to murder cases (see Collection of data revision and estimations under Production, and Coherence with other statistics under Background).

Statistics Norway has few possibilities for controlling non-response errors of units in the event of insufficient registration of known and unknown offences and victims. There are, for instance, relatively large differences between the police districts’ shares of offences that have no information on victims. Although there are other conditions that are the main reason for these discrepancies between the districts, we cannot rule out some of the differences being due to varying registration practices. A varying practice in the registration of victims will thus result in a varying non-response of known victims in different parts of the country. Partial non-response (when some variables are missing on some units) occurs, but with the aid of internal controls in BL/STRASAK these are limited to less important variables.

The validity controls in the registration systems are varied, and have been developed over time. The controls will, to varying degrees, have a bearing on the degree of completion and the quality of the registers – which in turn may affect the content of the different years in the statistics. Statistics Norway firmly believes that the gradually introduced validity controls (primarily in BL) have improved the degree of completion and the quality, but that some new requirements and controls may also have contributed to new types of non-response and an impairment in the quality of some data in the data basis. Since the statistics on victims of offences reported to the police were first compiled for 2004, they are not affected by the historical changes prior to this. However, since the statistics apply the register information in a new way, and that there is no tradition of this type of application in Norway, it must be expected that new validity controls and guidelines that can affect the content of the statistics will be introduced in the future.

See About the statistics for Offences reported to the police .

Offences and criminal cases without a registration date in the statistical year at the time the data is taken from the police’s central registration system (normally approx. 14 January) will not be included in the data basis. Offences, and the victims of these offences, which at a later point in time are re-registered as an offence with a registration date within the statistical year will not, therefore, be included in the data basis for the statistics on Victims of offences reported to the police (or Offences reported to the police). However, when settled by the police and prosecution authority, these kinds of re-registered offences will be included in the data basis for the statistics on Offences investigated.

During 2012 and 2013, there were far fewer late registrations of offences reported to the police and victims of offences reported to the police than in previous years. The annual average in these years was about 1 200 offences, making up just 0.3 per cent of all offences in the published statistics. Derived from the average in the time period 2008-2011, about 1-2 per cent of all offences were subject to late registration annually, and thus not included in the published statistics.

Statistics Norway does not have data to precisely quantify the impact of these registrations on how many victims (persons) in the reported offences have not been included in the statistics. As stated in About the statistics on offences reported to the police, we know that there is a relatively high proportion of narcotic offences that have not been included in the statistics of reported offences in the years before 2011. This does not affect the statistics on victims, in particular, because these offences rarely have registered victims. We also know that property theft, which constitute a very high proportion of all offences with victims, and where three out of four of the reported offences are registered with persons as victims, have seldom been re-registered. Changes in the scope of late registrations for other groups of offences, such as offences of violence and sexual offences, could have a somewhat greater impact – especially when the figures from 2011 and previous years are compared with the statistics for recent years.

Although the scope of the victims, i.e. everyone with the role of «victim» in all reported offences, should be somewhat greater, especially in the years before 2011, this indicates that the late registrations have a smaller impact on the statistics on victims of offences reported to the police than on the statistics containing only the reported offences.

The crime statistics only include registered crime, i.e. the offences and victims that are identified by or are made known to the police. Police resources and priorities, and people’s tendency to report offences to the police are of great significance to what acts become a part of the crime statistics. An unknown number of offences are never registered. Such unregistered offences are often called dark/missing figures. Different surveys on self-reported crime and exposure to crime indicate that the crime that is not registered is extensive, but also that dark/missing figures can vary considerably for the different types of offences (see Survey of living conditions ). What crime is registered over time is also affected by changes in legislation and regulations. These phenomenon are, however, not exactly “errors” in the statistics, but elements that affect them. For more details of what can affect the crime statistics and their interpretation, see Kriminalitet og rettsvesen 2009 , kapittel 3 (in Norwegian only).

Revision

Not relevant