Packzup builds original travel research from real data — first-hand, self-funded, with no sponsored content. This is the home of our datasets, studies and decision tools: the numbers behind our guides, all free to use and cite. Every figure below is computed from our own 200-country cost data and 26-destination seasonal index — no estimates pulled from thin air.
Original reports & studies
Travel Cost Index 2026Dataset · 200 countries
Daily on-the-ground travel budgets for 200 countries, ranked cheapest to priciest across budget, mid-range and luxury styles. The backbone dataset behind our affordability research — free to download.
Global Travel Affordability Report 2026Study · 200 countries
Our original Regional Affordability Index: 52% of countries are budget-friendly, Africa is the cheapest region and Europe the priciest, with India the single cheapest country at about $25/day.
Best Time to Visit Index 2026Dataset · 26 destinations
Best-weather window, months to avoid and peak-crowd period for 26 of the world’s most-visited destinations — the seasonal dataset behind the reports below.
Best Time to Travel the World 2026Study · seasonal
A meta-analysis of the seasonal index: September is the single best month to travel (ideal for 14 of 26 destinations), while July–August — the most-booked months — are the most crowded and among the worst for weather.
Value Season Index 2026Study · cost × season
The first cross-analysis of cost and season: the best-value travel window is the off-season (Nov–Apr), with 6 budget-friendly destinations at their weather best each month versus just 2 in the July–August peak.
Interactive tools
Travel Budget FinderInteractive tool
Enter a daily budget and get a ranked list of destinations you can actually afford — a reverse lookup that fuses the 200-country cost data with seasonal timing. Or estimate the daily cost of any country.
Free datasets to download
Free Travel Datasets (CSV / JSON)Download
Real, citable month-by-month climate and practical connectivity data for 52 destinations, free for journalists, researchers and developers to download and cite.
How we build the data
Our research rests on two proprietary datasets we maintain: the Travel Cost Index (typical on-the-ground daily spend for 200 countries, in four affordability tiers) and the Best Time to Visit Index (best-weather, wettest and peak-crowd windows for 26 major destinations). Reports cross-reference these to answer questions travelers actually ask — where is cheapest, when is best, and when is best value. We state methodology and limitations openly on every study, never invent statistics, and update the data as conditions change.