Pastest's city ranking is useful as a starting point for comparing locations, but it is not a ranking of the quality of every training post within them. Its result depends on selected measures and weights. A doctor choosing a rotation needs to examine the actual programme, hospital sites and personal constraints before treating a city's overall score as a recommendation.
What the 2026 ranking measures
The Pastest report, checked on 6 September 2026, compares 45 locations with medical schools. Its weighting is 20% medical-school quality, 30% GP accessibility, 30% Foundation Programme opportunities and 20% affordability. Glasgow leads its published overall table, followed by Dundee and Edinburgh.
The pillars use proxies, including university rankings, GP practices relative to population, Foundation allocation information and a graduate-income versus living-cost measure. The weighted ranking is therefore an editorial construction from selected data, not a direct measurement of a particular doctor's likely training experience.
That does not make the exercise worthless. It makes the methodology essential reading. A ranking answers the question its authors constructed, which may differ from the question facing an applicant.
Three questions hidden inside one headline
Choosing where to study medicine, choosing where to begin postgraduate training and choosing where to settle as an established doctor are different decisions. A university-related measure can be relevant to one and much less relevant to another.
Similarly, a city with several potential training opportunities does not tell an applicant which posts they can obtain or what those posts involve. Local affordability can matter greatly, but an average cost measure cannot tell you the rent near your actual hospital or the cost of travelling between rotation sites.
The headline compresses these distinctions into one score. The reader's job is to unpack them before using the result. A high-ranked city can remain the wrong choice for a particular programme or household without contradicting the published calculation.
Use programme-level evidence for programme-level questions
The GMC's 2026 national training survey results, available when checked on 6 September 2026, provide a different kind of evidence. Its education data tool allows readers to examine reported training experiences rather than substitute a general city score for them.
Use that evidence alongside current programme information and conversations with people who know the relevant posts. Ask about supervision, access to teaching, travel between sites and the practical organisation of the rota. Separate information about the whole institution from experience in the department you may join.
No single survey or conversation should settle the decision. A useful shortlist combines several sources and records where the evidence is incomplete. An enthusiastic anecdote and an overall score are both easier to understand when the underlying question is explicit.
Reweight the decision without pretending to recreate the report
You can change the importance assigned to your own priorities, but do not claim to have recalculated Pastest's ranking without the necessary underlying data. Reweighting published overall scores is not the same as reweighting the component measurements.
Instead, build a separate personal decision matrix. Begin with non-negotiable constraints, such as an available training route, a feasible commute or the ability to live with your household. Exclude options that fail those constraints before applying weights to preferences.
For the remaining options, choose a small number of criteria you can actually investigate. Training fit, housing cost, travel burden and personal support may be enough. Decide their relative importance before looking at which city wins. Otherwise, it is easy to adjust the weights until they endorse the place you already prefer.
These are proposed decision methods, not alternative published city rankings.
A fictional two-offer decision
Imagine a doctor comparing two offers. One is in a city ranked highly for overall affordability, but the rotation involves several sites and a difficult commute from housing they would consider. The other is in a more expensive city, but the doctor can share accommodation near the main site and has reliable personal support nearby.
The city-level affordability result remains valid on its own terms, yet the doctor's personal cost comparison may point the other way. The relevant calculation includes the actual housing arrangement and travel, not an abstract assumption about what an average resident spends.
The training comparison should be equally specific. A prestigious medical school nearby is not a substitute for asking who will supervise this doctor's work, what learning opportunities exist and how the programme responds when service demands compete with teaching.
Try a sensitivity check before deciding
After making a provisional choice, change one important assumption. What happens if the expected accommodation is unavailable, if the rotation site changes, or if you value proximity to family more than you initially admitted?
A choice that remains attractive under several plausible scenarios is more robust than one that depends on a single optimistic assumption. A choice that changes easily is not necessarily wrong, but it deserves further information before commitment.
Keep uncertainty visible. Mark a criterion as unknown rather than filling it with an invented estimate. A short call to the programme or a real transport check can be more valuable than adding another decimal place to a scoring sheet.
What educational tools can and cannot change
This article is published by iatroX and includes its role in independent learning, not as a city-selection service. Under iatroX's September 2026 product information, question practice, Socratic tutoring and simulations are available across web and native apps, which can help a learner maintain a study routine around changing placements.
They do not replace supportive supervision, a manageable rota or access to appropriate patients and practical teaching. A portable learning tool may complement a training environment; it should not be used to excuse a poor one.
For a prospective student, the Pastest report can generate locations to investigate. For a doctor choosing a post, programme-level evidence should carry more weight. For someone making a longer-term move, the actual household budget and support network may be decisive. There is no defensible single winner across those situations.
Frequently asked questions
Does Pastest rank individual training posts?
The 2026 report reviewed here ranks locations using selected city-level measures. It does not establish the quality of every programme or department in those locations.
Can I change the report's weights myself?
Only a genuine recalculation using the relevant component data would produce a revised version of its ranking. You can instead build a clearly separate personal comparison using evidence relevant to your offers.
What should I check before choosing a training location?
Check the actual programme, supervision, rota, rotation sites, housing and travel arrangements. Use the ranking to generate questions, not to bypass them.