Packzup’s travel intelligence is built on transparent, real, openly-sourced data. We never publish invented figures — every number carries a source and a date. Below are the datasets behind our climate, cost and destination intelligence.
Our data sources
| Data source | Type | License | Last updated |
|---|---|---|---|
| Open-Meteo Geocoding API | Open | CC-BY 4.0 (Attribution) | 2026-06-21 |
| Open-Meteo ERA5 Reanalysis (historical climate) | Open | CC-BY 4.0 (Attribution) | 2026-06-21 |
| Packzup Traveler Cost Submissions (crowdsourced) | Crowdsourced | Packzup-owned | 2026-06-21 |
| Packzup Manual Basket Sampling | Manual | Packzup-owned | 2026-06-21 |
| Passport Index Dataset (visa requirements, Wikipedia/Timatic-derived) | Open | ODbL / CC-BY-SA | 2026-06-21 |
| Passport Index dataset | Open | CC-BY 4.0 | 2026-06-21 |
How we compute “best time to visit”
Best-visit months are derived from real ERA5 climate normals (2019–2023) via Open-Meteo: we surface months with comfortable daytime temperatures (18–30°C), mild nights and low rainfall. See the Best Time to Visit Index.
How we collect travel costs
Cost figures combine dated manual basket sampling (accommodation, food, local transport, activities) with moderated crowdsourced submissions from real travelers. Every figure carries a sample size and date. Contribute your costs →