About WanderTourScore
WanderTourScore is a data-driven travel recommendation engine. It combines public travel-relevant datasets into country rankings you can tune around your own priorities. We built it to make travel tradeoffs easier to see and compare.
250
Countries tracked
17
Source groups
16
Scoring dimensions
14
Preset profiles
How Scoring Works
Every data dimension, from safety and cost to development, LGBTQ+ friendliness, climate, winter sports, culture, food & cuisine, luxury infrastructure, natural beauty, gender equality, and planet impact is normalized to a 0-100 scale so they can be compared fairly. When you use the Explore tool, you set preference weights via sliders or pick a preset profile.
Your composite score is a weighted sum of all dimension scores. Countries are then ranked from highest to lowest composite score, giving you a personalized recommendation list.
Some dimensions intentionally mix different kinds of signals. For example, Food & Cuisine combines food-scene breadth from OpenStreetMap with open prestige signals from Wikidata and UNESCO-backed gastronomy recognitions.
We also support dealbreaker filters. For example, you can exclude any country with a Level 3+ travel advisory, or only show visa-free destinations for your passport.
Dimension Methodology
Each dimension is built to answer a simple traveler question: what does this category actually reward, and what tends to push a country up or down?
| Dimension | What It Measures | How We Think About It |
|---|---|---|
| Safety | Blends a World Bank civilian-safety signal, the Global Peace Index, and World Bank political stability. | We weight homicide-derived civilian safety most heavily, then add the Global Peace Index and World Bank political stability as supporting signals. Travel advisories stay filter-only in guides. |
| Affordability | Uses the World Bank GDP price level index relative to the US. Lower price levels mean your money goes further. | Countries with lower overall price levels relative to the United States score higher on affordability. |
| Development | Uses the UN Human Development Index. | Countries with stronger health, education, and living standards score higher. |
| LGBTQ+ Friendly | Blends LGBTQ+ legal protections with lived-safety context, including broader traveler safety and anti-trans violence reporting where open data exists. | We compute a legal protections subscore from criminalization status, relationship recognition, anti-discrimination rules, hate-crime and incitement protections, legal gender recognition, and conversion-therapy bans. We then blend that with a lived-safety layer built from our safety and development scores plus a trans-specific violence penalty where reported data exists. Countries where homosexuality is criminalized are hard-capped at 15. |
| Climate | Scores warm, sunny, low-rain travel conditions across the year. | We score each month for comfort, sunshine, and rainfall, then roll that into an overall view of the year. |
| Winter Sports | Combines ski resort depth, ski resort density, and Winter Olympic skiing pedigree. | Countries score well when they combine lots of ski resorts, a dense resort footprint relative to land area, and a strong track record in elite winter sport. |
| Culture & Heritage | Uses UNESCO World Heritage site count on a log scale. | Countries with more standout heritage sites score higher, but extra sites count a bit less once a country already has many. |
| Food & Cuisine | Blends food-scene breadth from OpenStreetMap with open prestige signals from Wikidata and UNESCO-backed gastronomy recognitions. | We score food using four inputs: restaurant density, cuisine diversity, distinguished restaurants recorded in Wikidata, and UNESCO-backed gastronomy city recognitions. The design is meant to reward both broad everyday dining scenes and countries with deeper culinary prestige. |
| Luxury Infrastructure | Blends OpenStreetMap luxury hotel density with World Bank tourism receipts. | Luxury scores reflect the volume of premium hotels relative to population and how much tourism revenue a country generates. |
| Natural Beauty | Combines World Bank protected-area coverage with forest cover percentage. | Countries score well when they protect a large share of their land and maintain healthy forest cover. |
| Wildlife | Uses threatened mammal richness with an area-adjusted density correction to reduce giant-country bias. | We reward countries with unusually rich mammal biodiversity, while adjusting so sheer land size does not dominate the ranking. |
| Birdwatching | Uses threatened bird richness with an area-adjusted density correction to better surface compact birding hotspots. | We reward countries with exceptional bird diversity, while adjusting so small birding hotspots can compete with giant countries. |
| Gender Equality | Blends the GDI with the inverted GII. | We combine two major UN measures of gender equality into one overall score. |
| Planet Impact | Uses the UN planetary pressures-adjusted HDI. | Countries score better when they pair higher human development with lower environmental pressure. |
| Connectivity | Blends internet-user penetration with mobile subscriptions. | Countries score well when internet access is widespread and mobile coverage is strong. |
| Remoteness | Rewards extreme latitude and sparse population density. | We reward places that are far from the crowded center of the world, especially those with sparse populations and more extreme latitudes. |
Preset Profiles
Data Sources
Transparency is core to our approach. These are the main public datasets and reference sources behind the product, along with the role each one plays in scoring. Links point to relevant public source or reference pages.
Where a source requires attribution, we aim to reflect that here. OpenStreetMap-derived measures on this site are based on data © OpenStreetMap contributors and are used under the ODbL.
| Source | Used for | Notes | Source links |
|---|---|---|---|
REST Countries Baseline country reference data such as names, regions, flags, languages, currencies, and coordinates. | Core country records and display metadata across the site. | Public-source summary used for methodology transparency. | |
Frankfurter Exchange Rates Exchange-rate reference data for major currencies. | Currency conversion and cost display preferences. | Public-source summary used for methodology transparency. | |
US State Dept Travel Advisories Country-level travel advisory levels and advisory text from the U.S. State Department. | Traveler-facing safety context and advisory-based filters. | Public-source summary used for methodology transparency. | |
Passport Index Visa Requirements Passport-to-destination visa requirement data from a public dataset. | Visa-free and advance-visa filtering in Explore. | Public dataset reference; availability can vary by passport and destination pair. | |
Open-Meteo Climate Normals Climate normals covering temperature, precipitation, and sunshine over long-run averages. | Climate scoring and month-aware destination comparisons. | Public-source summary used for methodology transparency. | |
UNESCO World Heritage Sites UNESCO heritage-site records spanning cultural, natural, and mixed sites. | Culture and heritage signals, plus supporting travel context. | Public-source summary used for methodology transparency. | |
LGBTQ+ Rights + Lived Safety A blend of legal protections, broader traveler safety context, development context, and anti-trans violence reporting where usable public data exists. | The LGBTQ+ traveler dimension. | Public-source summary used for methodology transparency. | |
World Bank Price Level Index (Cost of Living) World Bank price-level data relative to the United States. | Affordability scoring. | World Bank Open Data is published under CC BY 4.0. | |
Safety Inputs Safety combines World Bank homicide data, World Bank political-stability indicators, Global Peace Index reference information, and U.S. State Department advisory levels. | The safety dimension and advisory-based travel filters. | World Bank indicators are CC BY 4.0. Global Peace Index is a third-party reference input and is not presented here as an open-license dataset. | |
UNDP Human Development Indices UNDP development indicators including HDI, GDI, GII, and PHDI. | Development, gender equality, and planet-impact dimensions. | Public-source summary used for methodology transparency. | |
World Bank Open Data (Protected Areas & Forest) Protected-area and forest-cover indicators from the World Bank. | Natural beauty scoring. | World Bank Open Data is published under CC BY 4.0. | |
World Bank Open Data (Connectivity) Internet-user penetration and mobile-subscription indicators from the World Bank. | Connectivity scoring. | World Bank Open Data is published under CC BY 4.0. | |
World Bank / IUCN Wildlife Data World Bank indicator pages based on IUCN-backed threatened mammal and bird counts. | Wildlife and birdwatching dimensions. | Public-source summary used for methodology transparency. | |
OpenStreetMap - Food Scene Breadth OpenStreetMap-derived measures of restaurant breadth and cuisine variety. | The breadth side of food scoring. | Derived from OpenStreetMap data. © OpenStreetMap contributors, available under the ODbL. | |
Wikidata + UNESCO - Food Prestige Wikidata restaurant records combined with UNESCO creative-city references. | The prestige side of food scoring without relying on proprietary rankings. | Wikidata is published under CC0. | |
OpenStreetMap + World Bank - Luxury OpenStreetMap-derived hotel signals paired with World Bank tourism-receipts data. | Luxury infrastructure scoring. | Includes OpenStreetMap-derived data © OpenStreetMap contributors (ODbL) and World Bank Open Data (CC BY 4.0). | |
Wikidata (CC0) Winter Sports Data Wikidata-based ski resort references and Winter Olympic podium history across major ski and snowboard disciplines. | Winter-sports scoring. | Wikidata is published under CC0. |