The 2017 STC SAFETY INDEX
RankCOUNTRYCITYINDEXHomicide RateSecurity riskKidnappingPolitical riskFragility Scoredeaths rate from conflictNatural World Risk Indexdeath rate natural disasterRoad traffic mortality rate Numbeo Safety IndexWorld Peace index
178SyriaDamascus04ExtremeExtremeExtreme3.3309.15.6902039.133.81
1LiechtensteinVaduz0.990InexistantInexistantInexistantn/an/a1n/an/a90n/a
2MonacoMonaco0.980InexistantInexistantInexistantn/an/a1n/a079.07n/a
3Isle of ManDouglas0.980InexistantInexistantInexistantn/an/a3n/an/a88.17n/a
5AndorraAndorra la Vella0.970InexistantInexistantInexistant1.3n/a2n/a7.696.9n/a
4JerseySaint Helier0.970InexistantInexistantInexistantn/an/a4n/an/a85n/a
6IcelandReykjavik0.940.3InexistantInexistantInexistantn/a01.5204.676.511.19
7SwitzerlandZurich0.940.3InexistantInexistantInexistant1.402.370.053.382.881.37
8SwitzerlandGeneva0.920.6InexistantInexistantInexistant1.302.370.053.369.881.37
9SingaporeSingapore0.910.2LowInexistantInexistant1.802.2703.683.221.54
10SwitzerlandLausanne0.90.8InexistantInexistantInexistant1.202.370.053.359.361.37
11LuxembourgLuxembourg City0.90.7InexistantInexistantInexistantn/a02.4308.773.93n/a
12DenmarkCopenhagen0.891.1LowInexistantInexistant1.30.052.890.053.578.081.25
13MaltaValletta0.891.4InexistantInexistantInexistantn/a00.605.163.37n/a
15PortugalLisbon0.880.6InexistantInexistantLow1.503.450.057.866.871.36
14NorwayOslo0.880.95InexistantInexistantInexistant1.20.32.190.053.8521.5
16FinlandHelsinki0.871LowInexistantLow1.20.052.2104.872.131.43
19SwedenStockholm0.860.9LowInexistantLow1.302.120.052.854.161.46
17AustraliaMelbourne0.860.24LowInexistantLow1.40.054.220.055.459.241.46
18GermanyMunich0.861.2LowInexistantLow1.50.052.950.054.384.741.49
21CanadaMontreal0.850.97LowInexistantLow1.40.053.010.05664.191.39
22AustraliaBrisbane0.850.96LowInexistantLow1.30.054.220.055.463.641.46
20GermanyBerlin0.851LowInexistantLow1.30.052.950.054.362.711.49
25New ZealandAuckland0.840.7LowInexistantInexistant1.504.550.9654.041.29
27CanadaVancouver0.841.86LowInexistantLow1.20.053.010.05663.511.39
24CanadaToronto0.841.38LowInexistantLow1.40.053.010.05664.61.39
23AustraliaSydney0.840.8LowInexistantLow1.50.054.220.055.459.421.46
26GermanyFrankfurt0.841LowInexistantLow1.70.052.950.054.360.681.49
31AustriaVienna0.833LowInexistantLown/a0.053.390.055.478.261.28
28Czech RepublicPrague0.831.4LowInexistantMedium1.30.053.370.056.169.951.36
32IrelandDublin0.831.1LowInexistantLown/a0.054.60.054.147.481.43
29QatarDoha0.831.3LowInexistantLow1.800.08015.282.911.72
30FranceNice0.831.2LowInexistantLow1.40.052.620.055.156.861.83
34SpainMadrid0.820.9LowLowMedium1.60.053.050.053.768.191.6
33UAEAbu Dhabi0.820.8LowLowLow1.80.051.97010.985.631.93
40NetherlandsAmsterdam0.812.3LowInexistantLown/a08.240.053.468.151.54
35SpainBarcelona0.810.7LowLowMedium1.60.053.050.053.759.911.6
37CroatiaSplit0.810.8LowInexistantMediumn/a03.970.059.266.621.63
38RomaniaBucharest0.811.1LowInexistantMedium1.305.920.058.770.61.65
36South KoreaSeoul0.810.8LowInexistantLow1.9n/a4.590.2n/a78.21.86
39CyprusNicosia0.811.1LowLowLown/a02.6805.267.581.99
43HungaryBudapest0.81.6LowInexistantMedium1.305.3207.761.11.53
45SlovakiaBratislava0.82.9LowInexistantMedium1.303.3906.670.51.6
44ItalyRome0.80.9LowLowLow1.404.420.056.145.181.77
46ItalyMilan0.81LowLowLow1.804.420.056.152.431.77
41UK London0.81.28LowInexistantLow2.10.053.540.052.953.551.83
42FranceParis0.81.8LowInexistantLow1.50.052.620.055.147.571.83
47UAEDubai0.791.5LowLowLow1.90.051.97010.979.081.93
48SeychellesVictoria0.792.2LowLowLown/an/a2.5508.678.65n/a
49BelgiumBrussels0.782.6LowInexistantLow1.60.053.070.0513.745.21.53
51BulgariaSofia0.771.8LowLowMedium1.30.054.220.058.354.91.65
52LatviaRiga0.774LowLowLow1.503.3101063.221.68
50BarbadosBridgetown0.778.8LowInexistantInexistantn/a01.3206.775.52n/a
54JapanTokyo0.760.2LowInexistantLow1.80.0512.993.44.780.381.4
53KuwaitKuwait City0.761.2LowInexistantMedium1.90.13.28018.767.21.84
56South KoreaBusan0.731.5LowInexistantLow2n/a5.580.225.174.721.86
55OmanMuscat0.731.1LowLowMediumn/a02.640.0525.475.952.02
58ChileSantiago0.712.99LowLowLow2.20.0511.650.0512.447.451.64
61GreeceAthens0.714LowInexistantMediumn/a0.056.70.059.149.332.04
59USASan Francisco0.715.29LowLowLow1.60.053.760.0510.649.522.15
60USANew York0.713.93LowLowLow2.20.053.760.0510.652.472.15
57Hong KongHong Kong0.710.4LowLowLow2.2n/a20n/an/a79.09n/a
64MauritiusPort Louis0.72.7LowLowLown/a015.530.212.244.21.56
62GeorgiaTbilisi0.73.4MediumLowMedium1.70.056.270.211.880.632.06
66ChinaShenyang0.71.1LowMediumMedium1.80.056.390.0518.883.012.29
65ChinaNanjing0.71.1LowMediumMedium1.80.056.390.0518.884.22.29
63MacauMacau0.71LowInexistantMediumn/an/a18n/an/a77.34n/a
69LaosVientiane0.696LowLowMedium1.705.590.214.362.671.85
67JordanAmman0.691.8LowLowMedium1.80.054.58026.355.042.13
68ChinaQingdao0.691.1LowMediumMedium1.60.056.390.0518.869.062.29
70ChinaChongqing0.691.1LowMediumMedium1.80.056.390.0518.874.022.29
71ChinaWuxi0.691.1LowMediumMedium1.90.056.390.0518.8752.29
75MoroccoCasablanca0.681.4LowMediumLow20.056.450.0520.846.562.09
72USALos Angeles0.686.66LowLowLow1.80.053.760.0510.645.42.15
76USABoston0.688.1LowLowLow2.10.053.760.0510.665.282.15
77ChinaTianjin0.681.1LowMediumMedium1.80.056.390.0518.864.842.29
78ChinaChengdu0.681.1LowMediumMedium20.056.390.0518.869.062.29
73ChinaWuhan0.681.1LowMediumMedium1.90.056.390.0518.873.072.29
74ChinaNingbo0.681.1LowMediumMedium2.20.056.390.0518.880.472.29
80IndonesiaJakarta0.670.8MediumMediumMedium20.0510.240.0515.346.851.8
79MoroccoDakhla0.671MediumMediumMedium1.60.056.450.0520.8n/a2.09
84ChinaGuangzhou0.671.1LowMediumMedium1.80.056.390.0518.853.282.29
82ChinaBeijing0.671.1LowMediumMedium1.90.056.390.0518.857.832.29
81ChinaChangsha0.671.1LowMediumMedium2.10.056.390.0518.865.72.29
83Saudi ArabiaRiyadh0.670.8MediumMediumMedium1.90.051.140.0527.478.882.34
86BahrainManama0.670.5MediumMediumMedium221.690876.412.39
85AzerbaijanBaku0.673.3MediumLowMedium1.80.35.5401072.842.45
87FijiSuva0.674MediumInexistantMediumn/a013.150.45.848.7n/a
92UruguayMontevideo0.6611.6LowLowLow1.504.03016.643.751.73
96TaiwanTaichung0.663LowInexistantLown/an/a23n/an/a80.561.79
94TaiwanTaipei0.663LowInexistantLown/an/a23n/an/a83.651.79
91Sri LankaColombo0.661.2MediumMediumMedium1.80.057.320.417.466.922.13
97UzbekistanTashkent0.663.7MediumLowHigh1.208.590.0511.257.562.22
90ChinaFoshan0.661.1LowMediumMedium2.10.056.390.0518.857.292.29
95ChinaHangzhou0.661.1LowMediumMedium2.30.056.390.0518.861.52.29
93ChinaSuzhou0.661.1LowMediumMedium2.30.056.390.0518.863.442.29
88ChinaShanghai0.661.1LowMediumMedium2.30.056.390.0518.865.742.29
89Saudi ArabiaJeddah0.660.8MediumMediumMedium1.90.051.140.0527.471.412.34
101TaiwanKaohsiung0.653LowInexistantLown/an/a23n/an/a75.241.79
99ChinaShenzhen0.651.1LowMediumMedium2.50.056.390.0518.861.582.29
98Saudi ArabiaDammam0.650.8MediumMediumMedium1.90.051.140.0527.459.682.34
100BermudaHamilton0.657.7InexistantInexistantInexistantn/an/a16n/an/a62n/a
102GrenadaSaint George's0.647.5LowInexistantLown/an/a1.42n/an/a30n/a
104Costa RicaSan Jose0.633.17LowMediumMedium1.90170.0513.943.351.7
103Turks and Caicos IslandsProvidendiales0.635InexistantInexistantLown/an/a16n/an/a41.93n/a
106TunisiaTunis0.623.1MediumMediumMediumn/a0.35.4024.464.191.95
107British Virgin IslandsRoad town0.628.4InexistantInexistantInexistantn/an/a14n/an/a37n/a
105AnguillaThe Valley0.626.8InexistantInexistantInexistantn/an/a17n/an/a37n/a
108MalaysiaKuala Lumpur0.614.4LowMediumMedium2.20.056.390.052430.531.65
110VietnamHanoi0.613.3LowMediumMedium2.2012.530.124.552.171.91
112EcuadorQuito0.611.88MediumHighHigh1.80.057.530.0520.145.042.02
111ParaguayAsuncion0.617.58LowMediumMedium20.053.480.0520.750.132.04
109TurkeyIstanbul0.612.21LowMediumMedium1.80.85.20.28.950.032.71
113MongoliaUlaanbaatar0.611.9MediumInexistantMedium203.0802135.771.84
116VietnamHo Chi Minh City0.63.3LowMediumMedium2.2012.530.124.541.531.91
117ArgentinaBuenos Aires0.66.08MediumMediumHigh1.903.560.0513.639.241.96
114KazakhstanAlmaty0.68.6LowMediumMedium1.50.053.560.0524.249.732.02
118USAMiami0.619.19LowLowLow1.90.053.760.0510.645.62.15
119IndiaMumbai0.61MediumHighMedium2.30.056.640.216.651.472.57
115IndiaHyderabad0.61.5MediumHighMedium2.10.056.640.216.662.952.57
120PeruLima0.585.7MediumMediumMedium2.20.056.590.113.931.192.06
122IndiaChennai0.581.9MediumHighMedium2.50.056.640.216.656.542.57
121Turks and Caicos IslandsCockburn Town0.588InexistantInexistantLown/an/a16n/an/a33n/a
123AlgeriaAlgiers0.571.4MediumHighHigh1.917.360.0523.851.342.2
125IndiaKolkata0.572.5MediumHighMediumn/a0.056.640.216.649.342.57
124EgyptCairo0.572.4MediumHighHigh2.20.42.29012.842.612.57
126IranTehran0.564LowMediumHigh1.70.14.730.132.144.32.4
127IndiaBangalore0.563.2MediumHighMedium2.30.056.640.216.651.622.57
128Cape VerdePraia0.5510.6LowInexistantLown/an/a10.39n/an/a35n/a
130PanamaPanama City0.5423.4MediumMediumLow207.260.051054.721.84
129Antigua and BarbudaSaint John's0.5411LowInexistantLown/an/a200n/a32.29n/a
133BangladeshChittagong0.532.8HighHighMedium2.30.0519.170.0513.625.262.04
134CambodiaPhnom Penh0.536.5MediumMediumMedium1.90.0516.580.717.444.262.16
131EthiopiaAddis Ababa0.538.1MediumMediumMedium2.30.27.04025.355.722.28
132IndiaDelhi0.535MediumHighMedium2.20.056.640.216.639.412.57
135Cayman IslandsGeorge Town0.5314.7LowInexistantInexistantn/an/a19n/an/a64.65n/a
138NicaraguaManagua0.5214.48MediumMediumMedium2.10.0514.620.215.362.641.98
137RussiaMoscow0.523.8MediumMediumMedium1.80.53.580.0518.954.613.08
136VanuatuPort Vila0.522.9LowInexistantMediumn/an/a36.280.916.660n/a
143BoliviaLa Paz0.515.2MediumMediumHigh2.204.580.242.838.072.04
141BangladeshDhaka0.515.3MediumHighMedium2.60.0519.170.0513.630.862.04
139ThailandBangkok0.512.7HighMediumHigh2.30.16.190.336.251.62.31
140ComorosMoroni0.518LowMediumHighn/a07.290.12825n/a
142BahamasNassau0.5130LowInexistantInexistantn/a04.14n/a13.828.93n/a
144DominicaRoseau0.521.1InexistantInexistantInexistantn/an/a10.96n/a15.330n/a
146TanzaniaDar es Salaam0.4912.8MediumMediumMedium2.30.057.650.0532.932.831.9
145BrazilSao Paulo0.4913.95MediumMediumMedium2.20.24.090.123.427.742.18
147Saint LuciaCastries0.4821.6LowInexistantInexistantn/an/a170.718.148.96n/a
148AngolaLuanda0.4717MediumMediumMedium2.306.520.126.936.222.14
149KenyaNairobi0.466.1HighHighMedium2.50.66.770.129.136.312.38
150MexicoMexico City0.4611MediumHighMediumn/a1.15.970.0512.334.472.56
151BrazilRio de Janeiro0.4521.14MediumMediumMedium2.10.24.090.123.422.322.18
152RussiaSaint Petersburg0.459.5MediumMediumMediumn/a0.53.580.0518.957.23.08
153Dominican republicSanto Domingo0.4422.6MediumLowMedium2.4010.960.0529.332.592.14
154Saint Kitts and NevisBasseterre0.4333.6LowInexistantInexistantn/an/a7n/a8.221n/a
155BrazilBrasilia0.4133.1MediumMediumMedium20.24.090.123.435.172.18
156ColombiaBogota0.4117LowHighMedium2.50.86.450.216.836.672.76
157ColombiaCali0.3920LowHighMedium2.50.86.450.216.836.822.76
158BrazilBelo Horizonte0.3638MediumMediumMediumn/a0.24.090.123.430.952.18
159LebanonBeirut0.354.3MediumHighMedium2.93.85.01n/a22.651.162.75
160UkraineKiev0.353.2MediumMediumHigh1.86.22.970.0510.651.093.29
161South AfricaJohannesburg0.3433.3HighMediumMediumn/a0.055.580.0525.121.642.32
162ColombiaMedellin0.3338.22LowHighMedium2.40.86.450.216.848.252.76
163PhilippinesManila0.3112MediumHighMediumn/a1.126.72.510.539.142.51
164VenezuelaMaracaibo0.335MediumHighLow1.70.055.930.0545.113.712.65
165NigeriaLagos0.2614HighExtremeHigh2.63.17.980.0520.528.152.88
166South AfricaCape Town0.2565.5HighMediumMedium2.40.055.580.0525.128.142.32
167PakistanLahore0.247.7HighExtremeHigh3.24.26.960.414.247.393.15
168PakistanKarachi0.237.7HighExtremeHigh3.24.26.960.414.234.653.15
169HondurasTegucigalpa0.2181HighMediumMedium2.50.0510.680.0517.429.412.24
170GuatemalaGuatemala City0.1974.56HighMediumMedium2.50.219.880.21939.372.27
171US Virgin IslandsCharlotte Amalie0.1752.6MediumInexistantLown/an/a18n/an/a29.38n/a
172HondurasSan Pedro Sula0.06142HighMediumMedium2.50.0510.680.0517.414.952.24
173VenezuelaCaracas0.05134LowHighLow20.055.930.0545.113.712.65
174El SalvadorSan Salvador0187HighMediumMedium2.2016.050.121.123.812.237
175LibyaTripoli02.5HighMediumHigh2.319.620.0573.444.583.2
176IraqBaghdad08ExtremeExtremeExtreme3.383.64.730.0532.123.313.57
177SyriaAleppo02.9ExtremeExtremeExtreme3.1309.15.6902013.243.81

Many people coming from relatively safe countries tend to underestimate the importance of personal safety. For example, this is often the primary reason for Latin America ‘s wealthiest to relocate.

Many things can kill or hurt you, not only a man with a gun. Many deaths are related to negligence or lack of advanced social structures. In China, for example, the homicide rate is low, but deaths from falling, traffic accidents, or natural disasters are very high. On top of our ranking are found cities with very small population sizes, with Singapore being the exception and the city that gets the most credit out of our rankings. European cities dominate most of the rankings, with cities in Asia holding a strong place as well.

Statistically speaking, most deaths are caused and/or suffered by young people. The countries with low birth rates and older populations tend to be safer. The exceptions to that are Oman, Bahrain and the UAE, but all Middle Eastern cities suffer from a high number of deaths on the road.

The data has been collected in fall 2016. Much of the data is collected or published only country-wide. In order to provide a better picture, we decided to incorporate both sets of information. Data like these are usually published six months after the year end, therefore are representative of the safety during the year 2015 the earliest.

We could have added many other statistics such as assault rate, theft rate, or even kidnapping rate. The reason we did not is that most of them are dependent on the report rate and the legal definition of the crime. For example, one of the most common crimes is bicycle theft, but in many countries this crime would not be reported. Another example is that the criminal definition of kidnapping varies from country to country. Canada, for example, includes in its definition an individual taking a child away from his or her spouse.

Some irregular data has been ignored. For example, Anguilla experienced one homicide in 2015, because if its small population size its homicide rate is roughly 7. Because of the over significant impact on the homicide rate, cities with 1 homicide may have been counted as 0 to make a more representative result.

City Homicide Rate: Homicide occurs when one human being causes the death of another human being. The definition of homicides includes, but is not limited to, murder, manslaughter, justifiable homicide, killing in war, euthanasia, and execution, depending on the circumstances of the death.

Kidnapping:estimated risk of kidnapping in the country.

Political risk:estimated risk of political instability in the country.

Security risk: estimated risk on personal security in the country.

Death from Conflict: Death from wars and conflicts per country. This estimate does not include deaths due to the indirect effects of war and conflict on the spread of diseases, poor nutrition and collapse of health services.

Fragility Score: is compiled by the Igarapé Institute.Fragility consists of a set of properties that undermines metropolitan capacity and legitimacy. Fragility is measured using a selection of 11 metrics that are empirically associated with city instability and disorder. It is also assessed in relation to indicators associated with national fragility and armed conflict. City fragility can be examined by exploring a composite score or individual filters for each indicator.

Natural disaster death rates: the estimated death rate per country from natural disasters, e.g. earthquakes, floods, tsunamis, hurricanes and storms etc... Technological disasters, including industrial and transport disasters, accounted for one third of all types of disaster in 2015 but affect smaller numbers of people as they tend to be more localized. Biological hazards, including epidemics, are addressed separately.

Traffic death rate: annual death rate per country occurringfrom traffic accidents.

World Risk Index: a tool used to assess and estimate the disaster risk of a country.It is this vulnerability of a society that forms the basis for the WorldRiskIndex, which calculates the disaster risk for 171 countries by multiplying vulnerability with exposure to natural hazards (cyclones, droughts, earthquakes, floods, and sea-level rise).

Numbeo safety index: safety indexed per city compiled by Numbeo.comis based on its online survey.

Global Peace Index: the GPI measures peace of selected countries according to 23 qualitative and quantitative indicators.

Homicide Rates were taken from the United Nation Office on Drugs and Crimes. For missing data, the information was taken from the regional police department statistics. http://www.unodc.org/

Kidnapping by NYA International http://nyainternational.com/

Security risk & Political risk were taken from the Risk Control Annual Risk Map 2016 report https://riskmap.controlrisks.com/

Fragility Score is compiled by the Igarapé Institute. https://igarape.org.br/en/

World Risk Index by United Nations University Institute for Environment and Human Security www.WorldRiskReport.org

Numbeo safety index Numbeo https://www.numbeo.com/crime/rankings.jsp

Global Peace Index by Vision of Humanity http://www.visionofhumanity.org