Methodology
How we calibrate budgets + stats
Every daily-budget number and FIFA-style stat card on MapSorted is derived from a small set of documented rules. This page explains those rules so you can decide how much to trust any given number β and where to push back if something looks off for a city you know well.
The three tiers
Every guide shows three daily totals: Backpacker (π), Mid-range (π§³), and Luxury (π). The same labels cover four per-day categories in the cost calculator (stay, food, transit, activities), so you can mix and match β e.g. pay for a nicer room but eat where locals eat.
π Backpacker β what it buys you
- Stay: hostel dorm bed or a basic guesthouse / cheapest 2-star room. Shared bathrooms are likely.
- Food: street food, markets, self-catering from supermarkets, one sit-down meal a day at most.
- Transit: buses, the metro, overnight trains. Walking when it's faster. No taxis.
- Activities: free or cheap β public parks, free museum days, self-guided walks, one paid attraction every few days.
π§³ Mid-range β what it buys you
- Stay: 3-star hotel or a well-reviewed Airbnb / private room. Consistent, comfortable, nothing fancy.
- Food: neighborhood restaurants, a mix of casual and one nicer dinner. Coffee-shop breakfasts.
- Transit: transit cards, occasional rideshare, airport express. A rental car for natural / island destinations.
- Activities: 1β2 paid attractions per day, a guided day tour every few days, one splurge experience.
π Luxury β what it buys you
- Stay: 4- or 5-star hotel, boutique resort, or top-tier rental. Often in a prime-location district.
- Food: fine-dining dinners, tasting menus where they exist, high-end cocktail bars, hotel breakfast.
- Transit: taxis or private car door-to-door, premium train classes, no bus commitments.
- Activities: private guides, premium experiences (hot-air balloon, Michelin-adjacent cooking class, helicopter tours where they exist).
Daily-budget $/day numbers
Each destination has a hand-calibrated triple β e.g. Bangkok is { budget: 25, mid_range: 60, luxury: 180 }. These aren't pulled from a single API; they're editorial judgements cross-checked against:
- current hotel prices at the tier implied above, sampled in shoulder season, averaged across 3β5 neighbourhoods
- typical food costs from the guide's own Typical Costs table (street meal, mid-range dinner, wine glass, coffee)
- regional transit passes / rideshare averages where the data's reliable
- for safari / remote island / polar destinations, the all-inclusive package price divided by daily nights
The cost_index(a 1β100 number you'll see in some charts) is a separate abstract measure of overall cost of living. It usually tracks mid_range $/day closely, but diverges when a destination has unusual structure β e.g. Botswana's Okavango Delta sits at cost_index 90 but real mid-range $/day is $800 because of all-inclusive safari lodge pricing. In that case, trust the dollar number.
How the split is allocated
Inside each tier's daily total, we split spending across four buckets: stay / food / transit / activities. The base split is roughly 42 / 25 / 15 / 18, then shifts per destination:
- Expensive cities skew more toward accommodation (Tokyo, Paris, London).
- Walkable cities need less transit budget, more activity budget.
- Cheap-food destinations with standout food scenes (Bangkok, Oaxaca, Hanoi, Penang) bump food share.
- National parks and islands bump activities + transit (tours, transfers, rental gear), trim food + stay.
- Multi-stop regions/countries bump transit (intercity movement).
That gives each destination a distinctive stack β a Paris day tilts toward stay, a Bangkok day toward food, a Banff day toward activities β rather than every city showing the same pie chart.
FIFA-style stat cards
Each destination page shows a stat card with 9 attributes on a 0β99 scale: safety, affordability, food, culture, nightlife, walkability, nature, connectivity, transit. These are not votes or survey scores β they're derived from the same underlying data that drives comparisons and badges.
- Safety maps the destination's safety index (1β100) directly; the floor is 35.
- Food / culture / nightlife / walkability / transit / connectivity / nature come from a per-attribute 1β5 scale, mapped linearly onto an attribute-specific band (e.g. food spans 45β90, transit spans 42β85). A small curated top tierof cities (e.g. Tokyo + Bangkok + Paris + Lyon for food, Rome + Kyoto + Paris + Istanbul for culture) gets an explicit bonus so the apex of each scale reads as world-class, not just "good." Most destinations land in the 55β85 band.
- Naturefor cities is capped at 65 unless the city is on a short list of genuinely nature-adjacent urban hubs (Cape Town, Queenstown, Rio, Vancouver, Reykjavik, etc.). National parks, islands, and regions don't get that cap.
- Overall is a weighted composite β safety 16%, culture 15%, food 14%, nature 13%, walkability 11%, transit 10%, affordability 9%, nightlife 7%, connectivity 5%. When a playstyle is active, those weights shift.
Affordability score
Affordability is derived from the mid-range $/day number (the most tangible version of a destination's cost), using a piecewise curve:
- $50/day β 95 (backpacker belt β Hanoi, Yogyakarta, Varanasi, Chefchaouen)
- $75/day β 87
- $100/day β 78
- $130/day β 68
- $170/day β 55
- $220/day β 45
- $300/day β 38
- $500+/day β 32 (Maldives, Bora Bora, Serengeti lodges)
This means the "Most Affordable" badge and the "Best Under $50/day" badge both key off concrete dollar numbers β they aren't an abstract cost index.
What these numbers aren't
- They aren't forecasts. Prices move β currency shifts, seasonal spikes, new taxes. Use mid-range $/day as a planning anchor, not a booking guarantee. The cost calculator lets you mix tiers per category, which is closer to how most people actually travel.
- They assume shoulder season. Peak-season hotels can run 2β3Γ the mid-range number in cities like Reykjavik, Santorini, or Kyoto during cherry blossom.
- They assume two travelers sharing a room. The cost calculator adjusts for solo / three+ automatically using one room per pair.
- The FIFA stats are editorial calibration, not crowd data.They're designed so the top of each category feels defensible to someone who's been there. If a score looks wrong to you, that's useful feedback β tell us and we'll look at it.
Found a number that looks off?
Guide content, budget tiers, and stat scales get edited all the time. If a city you know well has a score that doesn't match reality, flag it and we'll recalibrate in the next pass.