Kakapo's composite safety scores cover 944 destinations as of 2026. This is the first cross-sectional analysis: the global distribution, the regional pattern, the sub-score breakdown, and the 12 cities at each extreme.
Across 943 cities scored on Kakapo's 0–100 travel-safety index in 2026, the global mean is 78.5/100 and 35% of cities rank "Good" or safer — most destinations are markedly safer than headlines suggest.
Across 943 cities with finalised composite scores, the mean is 78.5/100. The median sits at 80/100 — half of all cities Kakapo tracks score higher. The bottom 10% scores 65/100 or below; the top 10% scores 90/100 or above. Most cities cluster in the 70-85 band: the score range where "you can travel here, but mind the sub-scores" applies.
Kakapo's score bands aren't arbitrary — each is calibrated against the WHO global crime + injury database and the consolidated advisory levels of seven major Western foreign ministries. Here's how the 943 cities distribute:
| Band | Count | % of cities |
|---|---|---|
| Caution | 189 | 20% |
| Very Safe | 185 | 20% |
| Safe | 148 | 16% |
| Excellent | 142 | 15% |
| Risky | 121 | 13% |
| Dangerous | 59 | 6% |
| Unsafe | 57 | 6% |
| Fantastic | 42 | 4% |
Aggregating to the regional level reveals a clear pattern. Western Europe + East Asia capitals + Oceania share the top tier; the Middle East splits sharply between Gulf city-states and conflict-affected countries; Africa's mean is suppressed by the active-advisory countries in the Sahel and Horn.
| Region | Mean score | City count |
|---|---|---|
| Oceania | 84/100 | 26 cities |
| Europe | 83/100 | 316 cities |
| Asia | 79/100 | 228 cities |
| North America | 78/100 | 183 cities |
| Middle East | 78/100 | 49 cities |
| Africa | 69/100 | 67 cities |
| South America | 68/100 | 66 cities |
The composite score is a weighted blend of four sub-scores: personal-safety, transport, healthcare, and night-safety. Across all 943 cities the means are:
| Sub-score | Global mean |
|---|---|
| Personal safety | 79/100 |
| Transport | 78/100 |
| Healthcare | 81/100 |
| Night safety | 76/100 |
Night safety scores systematically lower than personal-safety in the same city — the global gap is meaningful. The implication for travellers: a city's "is X safe" answer is almost always different at 11pm than at noon. Single-number composite scores hide this.
The cities clustering at the top of the index in 2026 — composite scores 92+ — share a profile: low petty-crime baseline, robust late-night transit, English-speaking healthcare infrastructure within 30 minutes for most central districts, and no active national advisory.
| # | City | Score |
|---|---|---|
| 1 | Singapore, Singapore | 96/100 |
| 2 | Monaco, Monaco | 96/100 |
| 3 | Toyota, Japan | 94/100 |
| 4 | Irvine, United States | 94/100 |
| 5 | Zermatt, Switzerland | 92/100 |
| 6 | Tokyo, Japan | 92/100 |
| 7 | Helsinki, Finland | 92/100 |
| 8 | Reykjavík, Iceland | 92/100 |
| 9 | Hiroshima, Japan | 92/100 |
| 10 | Nara, Japan | 92/100 |
| 11 | Aarhus, Denmark | 92/100 |
| 12 | Lucerne, Switzerland | 92/100 |
The cities at the bottom of the published index aren't necessarily "unsafe to visit" — some have active advisories but are still visited by experienced travellers (humanitarian, journalism, business). The score tells you what risk level the data supports; it doesn't tell you whether to go.
| # | City | Score |
|---|---|---|
| 1 | Yangon, Myanmar | 28/100 |
| 2 | Gvardeysk, Russia | 30/100 |
| 3 | Moscow, Russia | 30/100 |
| 4 | Baghdad, Iraq | 35/100 |
| 5 | East Saint Louis, United States | 50/100 |
| 6 | Thembisa, South Africa | 50/100 |
| 7 | Zamboanga, Philippines | 50/100 |
| 8 | Ecatepec, Mexico | 50/100 |
| 9 | Chilpancingo, Mexico | 50/100 |
| 10 | Faisalabad, Pakistan | 52/100 |
| 11 | Manila, Philippines | 58/100 |
| 12 | Santa Luzia, Brazil | 60/100 |
Every Kakapo score is a weighted composite of: (1) national travel advisories from seven major Western foreign ministries (US State Department, UK FCDO, Canada Smartraveller, Australia Smartraveller, France Conseils aux voyageurs, Germany Auswärtiges Amt, New Zealand SafeTravel), (2) local crime indices including Numbeo and the city's police-released stats where available, (3) WHO Global Burden of Disease for medical-infrastructure scoring, (4) air-quality APIs (IQAir, WAQI) for the ambient-health component, and (5) per-source weighting calibrated against the published advisory level for the relevant destination.
The full methodology — per-source weights, recalculation cadence, profile-adjustment logic — is at https://kakapo.travel/about/methodology. Sub-scores recalculate automatically as advisories change (typically within 24 hours of a new advisory).
The score is a starting point, not the answer. We recommend:
Deeper cuts of the same 2026 dataset, each free to cite:
This analysis is free to cite in journalism, research, or content — all we ask is a link back. The underlying data recomputes on every page load, so the linked URL always reflects the latest scores. Copy the attribution below:
Kakapo Editorial Team (2026). The 2026 Travel Safety Index: What 943 Cities Tell Us About Where to Go. Kakapo. https://kakapo.travel/blog/2026-travel-safety-report
Writing a travel-safety story? We give journalists and researchers custom data pulls at no cost — e.g. "safest cities for solo female travellers", regional risers and fallers, or a city-by-city breakdown for your piece. Email [email protected] and we usually reply the same day. For raw per-source weights and methodology, link https://kakapo.travel/about/methodology.
Kakapo publishes real safety scores for every destination, drawing on national travel advisories, local crime data, healthcare infrastructure, and air-quality APIs. Independent editorial — no advertiser influence on scores. Contact: [email protected].