I have a travel SEO site with 75 destination datasets. Here's what the daily-cost number actually means.
I run http://vientapps.com, a small travel research site I've been building solo for SEO + tool distribution. Part of the play is structured destination guides. JSON files with daily-cost tiers, season data, packing lists, and itinerary blocks for 75 cities so far. The dataset feeds the destination pages, the packing-list generator, and a group-travel tool called Roamly.
This week I finally sat down and pulled one number across all 75 files: budget-tier daily cost in USD. The cheapest is Ho Chi Minh City at $20/day. The most expensive is Maui at $170/day. Ratio: 8.5x.
What surprised me wasn't the spread, it was the pattern:
None in Western Europe, none in Oceania, none in North America outside Mexico.
19 US destinations: 18 sit above the global median. The single exception is Portland at $70/day.
Europe splits sharply east vs north. Krakow $40, Reykjavik $120. Same continent, 3x ratio.
Hawaii is the outlier even by US standards. Maui $170 and Honolulu $130 both beat SF and NYC on daily cost.
The thing I'd flag for other builders: don't trust the $/day metric alone. I wrote a whole counterpoint section because once you add fixed costs (flights, visas, gear), the cheap-daily destinations stop being cheaper at 7-day trip lengths. They only win at 14+ days. This is why digital nomads cluster in Chiang Mai and Medellin, the fixed-cost ratio amortizes over months.
Full post + downloadable CSV:
https://vientapps.com/blog/75-destinations-daily-cost-ranking-2026/
Happy to share the methodology and the dataset structure if anyone is building something similar. The biggest unsolved problem on my side is sourcing clean flight-pricing data so I can ship a trip-total ranking next. Suggestions welcome.
The fixed-cost point is really interesting because it changes the whole meaning of the ranking. A destination being “cheap per day” does not matter as much if the flight and setup costs only make sense over a longer trip. That feels like the kind of nuance most travel SEO pages miss because they optimize for a simple comparison table. Are you thinking of eventually showing different rankings by trip length, like 3 days, 7 days, 14 days, and 30 days?
I currently have a few different options, showing what people most commonly do, like weekend trips (3 days) or week vacation (5-7 days). But that could be a good idea if the demand was there.
This is more interesting than a travel SEO site because the structured data is doing real product work. The same city datasets are feeding destination pages, packing lists, and Roamly, which means the actual wedge is not just content, it is trip-planning intelligence built from reusable travel data.
The fixed-cost point is probably the strongest insight. Most travel tools compare destinations by daily spend, but the real decision changes once flights, visas, gear, and trip length are included. “Cheap for 30 days” and “cheap for 7 days” are completely different products.
One thing I’d think about early is whether Vientapps/Roamly should stay split or eventually sit under one cleaner product brand. If this becomes a broader travel-planning data platform, a name like Xevoa.com would feel more expandable than a local-sounding content site plus a separate tool name.
Yeah i've actually moved them into one site now. But they are different brands still. I've considered just completely joining them but the hub site is a lot more than just a travel app ya know. Thanks for the insight.
That makes sense.
Since you have already moved them into one site but kept the brands separate, this is exactly where a small brand-architecture decision can save confusion later.
The question is not just “merge or don’t merge.” It is whether users understand the system quickly:
Vientapps as the data/content layer
Roamly as the planning experience
or one broader travel-intelligence brand that owns the whole journey
If useful, I can do a focused naming/positioning audit on this: current brand split, category framing, user perception risk, whether the two-name setup helps or hurts, and what the cleaner long-term brand structure should be before more pages, tools, and SEO memory build around the current setup.
It is not a long consulting thing. Just a sharp written breakdown with practical recommendations.
I’m doing a few of these at $99 while refining the format. If useful, connect here and I can give you a clear outside read:
https://www.linkedin.com/in/aryan-y-0163b0278/
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