How we work
Where our information comes from, what we check, what we will not claim, and how to tell us we got it wrong.
METHODA site that tells you where to spend a few hundred dollars a night owes you an account of how it knows what it says. This page is that account. It is deliberately specific, because a methodology page written in generalities is worth nothing.
Where our information comes from
Four sources, in roughly this order of authority:
- The properties themselves. Official hotel and restaurant sites are the reference for names, addresses, opening status, facilities and the histories they publish about their own buildings.
- Official and institutional data. For anything measured — occupancy, rates, visitor numbers, room nights, attendance — we use named organisations: tourism boards, transport authorities, city and state agencies, convention authorities, published economic-impact studies.
- Established reporting. Local and trade press for openings, closures and changes of hands, used as a signal to go and check rather than as the final word.
- Public reference material for historical and architectural facts, cross-checked wherever the claim carries weight.
What gets checked, and how
Every venue that appears in one of our lists is verified as currently operating against its own site or a current reputable source before it is published. Anything with a closing date already announced is left out, however good it is today: an evergreen list that sends a reader to a locked door has failed at the one job it had.
Each entry carries a specific, factual sentence — a date, a building, a signature feature, a location advantage. If we cannot find a fact worth writing, the entry does not get an adjective instead; it gets left out.
What we will not do
We do not invent numbers. Every figure we publish carries its source and the period it covers. Where the public data is thin — the hotel demand created by university commencement season is a good example, and so is autumn foliage tourism — we describe the pattern and say plainly that it is not quantified, rather than producing a plausible-looking number.
We do not average away a disagreement. When two reputable analysts publish different figures for the same market, usually because they draw its boundaries differently, we pick one series, stay inside it, and say which one we used. We never blend them.
We do not claim experiences we have not had. We do not say we stayed somewhere unless we did, and we do not describe a room from the inside on the strength of a press photograph.
How our lists are built
Our TOP 50 lists are grouped into themed sections rather than counted down. There is no first place and no last, because the idea that anyone can distinguish the eleventh-best hotel in a city from the twelfth is a fiction we would rather not sell you. The order within a list is editorial and we say so.
Nobody pays to be on a list and nobody is told in advance. We also do not accept removals: if an entry is factually wrong we fix it, but a business cannot buy its way off a list any more than onto one. The methodology sits at the top of each list, not buried here.
How the Data Room works
Everything in the Data Room carries the organisation that produced the figure, the period it covers and a link to the source. We publish the comparison that matters rather than the number that flatters — the point of saying a Boston room averaged $301.97 in 2025 is what it looked like in 2019, and what it looks like in January.
Data on those pages is free to reuse, by journalists, students and researchers, provided you link back to the page you took it from. We would rather be cited than protected.
How the Price Index works
The Boston Night Cost Index measures what one night in a Boston hotel costs from advertised rate to final bill. It is a fixed basket with three components, and the composition does not change between readings: the market average room rate for the month, the 14.95% of statutory lodging tax that applies in the city (5.7% state, 6.5% city, 2.75% convention centre financing fee), and one 24-hour space in a downtown garage.
Base and period. Base 100 is January 2025, the cheapest month of the first complete year measured. The series currently runs January to December 2025, twelve monthly readings. The index for any month is that month’s basket value divided by the January 2025 basket value, times 100. The base does not move when new periods are added.
Coverage. The basket itself is complete: 12 months out of 12 measured. Across the full dataset, which includes the reference series used for validation, 59 of 72 cells are measured readings, 12 are the documented parking constant and one is genuinely missing. We publish that rate rather than round it up, and an empty cell stays empty — nothing is interpolated to make a curve look continuous.
Cross-validation. The index is checked against the US Bureau of Labor Statistics consumer price series for lodging away from home (CUUR0000SEHB02, not seasonally adjusted, published monthly since 1967). If our basket diverged from it without an explanation we could name, we would assume the basket was broken rather than the city remarkable. The one gap in that reference series — October 2025 — is the agency’s own: it records the month as unavailable because of that autumn’s lapse in federal appropriations.
Limits we accept. Three. The room rate is a market average, not a quotation, so an individual property can sit well above or below it. The parking component is held constant at the published rate because no dated monthly history of garage pricing is published — that is a documented assumption, not a measurement, which is why we publish the room-only series alongside the total. And the first reading produces no year-on-year movement; we say so rather than imply a history we do not have.
Sources and verification. Room rates come from the monthly hotel performance series published for the Boston market; tax rates from Massachusetts Department of Revenue guidance, Massachusetts General Laws chapter 64G and the City of Boston budget documents; the parking rate from the published municipal garage schedule. The statistical series used for cross-validation is named above and freely available. The detailed reference list behind every reading is available on request — write to us and we will send it.
Figures from the index are free to reuse, quote and chart, with a link back to the page they came from. When the basket has to change, that is a break in the series and we will label it as one.
How our tools work
Our free tools show their working. Each one has an assumptions section explaining what the calculation does and where a number came from, and every result comes with the reasoning that produced it so you can disagree with the inputs rather than the output.
One rule in particular: where a tool needs a price, you set it. The budget calculator opens on plausible mid-range settings and every one of them is a slider, because we are not in a position to tell you what your room will cost and we will not pretend otherwise. Nothing is stored, and no result is held back behind an email.
Commercial relationships
Advertising and sponsored content are labelled as such, in the piece. Where a link can earn us a commission on a reservation, we mark it, and it costs you nothing extra. A commercial relationship does not buy an editorial recommendation, and the pages that carry paid content are not the pages that carry our selections. Our about page sets out how the site is funded in full.
Updates and corrections
Our evergreen pages carry no year in the title, because we update the content rather than republish it annually. Lists and guides are revisited as the city changes rather than on a fixed schedule.
If you find something wrong — a closed venue still listed, a figure that does not match its source, a claim that does not hold up — tell us. Corrections are made to the page itself, quickly, and we will not quietly delete an error rather than fix it. Readers who correct us are doing the work of the next reader, and we treat it that way.
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How we rate neighborhoods
Each of our neighborhood hotel guides carries a rating card scored on four axes, from 1 to 5: Location & sightseeing (how close you are to the sights people actually come to Boston for, and how walkable the area is), Dining & nightlife (the depth of restaurants, bars and evening life within walking distance), Calm & local character (how residential and quiet the area feels once the day is over), and Hotel value for money (what a night buys you there compared with the rest of the city, informed by our Price Index work).
These scores are the editorial judgment of our newsroom. They are not user votes, they are not produced by an algorithm, and no hotel or business can pay to change them. We base them on the research behind our neighborhood guides, on the market data we publish in our Data Room and Price Index, and we revise them when the city changes — a score is a snapshot of how we see the neighborhood today, not a permanent grade.
The four axes are deliberately about the neighborhood, not about any single hotel: two excellent hotels can sit in areas that serve completely different trips. Use the card to decide whether the area fits the trip you are planning, then use the guide below it to pick the property. If you believe a score is out of date, tell us — corrections are part of how we work.