Where the travel went
Bubble size reflects deduped trips to that destination. The main view is U.S.-focused because most trips were domestic, with international travel summarized in the inset.
This public-friendly diary consolidates memory, calendar entries, loyalty-program history, TripIt, airline, hotel, and travel-tool reporting into one deduped view. It is intentionally approximate: the current dataset likely captures about 80% of the travel that can eventually be reconstructed.
Bubble size reflects deduped trips to that destination. The main view is U.S.-focused because most trips were domestic, with international travel summarized in the inset.
| State / Country | Trips | Days |
|---|
Vacation records are kept separate from the work totals. Clear date overlaps are flagged in the review view rather than double-counted.
This is a directional reconstruction, not an expense report. Professional domestic trips are modeled at roughly $3,000-$5,000 each, with international trips substantially higher.
Look across social media posts, photos, memory, family calendars, work calendars, and old itinerary emails.
Use travel history, airline accounts, hotel accounts, TripIt, expense tools, bank accounts, and credit-card bills.
Convert each clue to dates, place, category, source, and confidence; collapse overlapping records into one trip.
Generalize customer, employer, family, and financial details; share patterns and estimates, not raw private records.
Build a public-friendly personal and professional travel diary from these travel records. Deduplicate overlapping trips, separate vacation from non-vacation travel, group top destinations by U.S. state and country, estimate travel days, mileage, rough cost, and carbon footprint, and include a simple methodology. Keep private customer, employer, family, and financial details generalized.
Sorted newest to oldest by start date. Use this table to spot missing trips or misclassified personal travel.