The best cities 2026the everycity index, ranked · 2026

The full ranked table.

All 25 cities, scored on the full index. Green marks a score of 8.0 and above, amber 6.0 to 7.9. Every city links to its profile.

Below the top three, the table runs through the Swiss and Nordic strongholds of quality and safety, the Australian and Canadian cities that pair space with services, and the European capitals that win on culture and value. The index weights cost, safety, weather, jobs, and healthcare most heavily, then layers twelve further axes from transit to nightlife, so a city has to be broadly excellent rather than a one number specialist to place. Every entry links to its full profile, where the cost lines, the salary tables, and the visa notes live in detail.

The pattern is clear once the table is read top to bottom. Small, rich, well governed cities dominate the top ten: Copenhagen, Vienna, and Geneva all clear 8.5. The large global capitals of London and Paris sit lower than their fame suggests, held down by cost and safety variance, a result the London vs Paris comparison unpacks. Value capitals like Lisbon punch above their wealth on weather and lifestyle.

Read by region, the table tells a familiar story with a few surprises. Western and northern Europe place eleven cities, more than any other region, on the strength of governance, healthcare, and transit. The Asia Pacific places six, led by Singapore and Tokyo and rounded out by the Australian and New Zealand cities that pair space with services. North America places only two, Vancouver and Toronto, both Canadian, as United States cities are held down by cost, safety variance, and thin public transit. The Middle East places one, Dubai, and it places second.

The axis that complicates every high placement is cost. Nine of the top fifteen rank among the twenty most expensive cities in the atlas, which is the recurring tension of the liveability question: the cities that work best are rarely cheap, and the cities that are cheap rarely work this well. The index prices cost against local salary rather than in absolute dollars, so Zurich can rank third despite a 5 franc coffee because the salaries clear it, while a cheaper city with thin wages gets no free pass.

The value standouts deserve a flag for the budget conscious reader. Lisbon at seven, Madrid at nineteen, and Berlin at eighteen all deliver a top twenty quality of life at a cost well below the Swiss and Nordic leaders. For the remote worker earning a northern salary while paying a southern rent, these three are the arbitrage plays the index quietly rewards, a pattern the remote work ranking makes explicit.

The notable absences say as much as the entries. Several of the worlds most famous cities, New York, Los Angeles, Hong Kong, sit outside the top 25 on the composite, held down by cost, inequality, or a safety and air quality variance the average punishes. Fame and liveability are weakly correlated at best, and the index is built to measure the second rather than the first. A reader surprised by an omission should check the city profile, where the axis by axis breakdown shows exactly which number kept it off the table.

It helps to read the table in tiers rather than as a strict ladder. The top tier, Singapore through Geneva, are the cities that win on almost every axis at once and charge accordingly. The second tier, Lisbon through Munich, trade one strength for a better price or a softer climate. The third tier, from Sydney down to Taipei, are excellent cities with one clear weakness, cost, distance, or a hard season, that keeps them off the podium. A reader is better served by choosing the tier that fits the budget and then picking on lifestyle than by fixating on a single rank.

The list answers where life works best on average, not where any one person should move. The 9.3 of Singapore is built on safety, transit, and healthcare; a reader who weights nightlife, beach access, or a low cost of living above those will end up with a personal ranking that looks different from ours. That is the reason we publish the weights: the methodology page shows exactly how each axis is scored, and the relocation score tool lets a reader re weight the index about a personal profile and watch the table reorder in front of them.

The ranking is most useful for the mobile professional, the remote worker, and the family with the means to choose a city on quality rather than necessity. It is least useful for the reader anchored by a specific job, a family network, or a visa constraint, for whom the right city is decided before the index speaks. For that reader the comparison pages are the sharper tool: a head to head like Dubai vs Singapore or London vs Paris resolves the real choice between two live options far better than a list of 25 ever could.

A word on what is missing. Cities that win a single dimension spectacularly, a beach town, a nightlife capital, a tax haven with thin services, do not place here, because the composite penalizes a narrow profile. Those cities surface instead on the specialist lists: nightlife, best weather, cheapest, and best for families. A reader optimizing hard for one axis should start there and treat this table as the all rounder reference.

Finally, the order is a snapshot of May 2026, not a permanent ranking. Currency swings, housing cycles, and policy changes move cities several places a year: a weak yen has made Tokyo a bargain it was not in 2019, and a housing crunch has cost Amsterdam ground it may recover. The numbers refresh every quarter, and the next cut ships in August 2026. Treat the rank as a starting point and the profile behind each city as the real evidence.

The cost of entry deserves a blunt accounting. To live well in the top five, a single professional needs a salary in the range of 90,000 to 160,000 dollars depending on the city, and a family needs meaningfully more. The index rewards these cities on quality, but quality at this level is gated by income, and a reader without it will find the second and third tiers, Lisbon, Valencia, Berlin, deliver eighty percent of the liveability at half the cost. The honest version of this ranking is that money buys rank, and the interesting question is where the curve flattens.

Compared with the 2025 cut, the table moved less at the top than in the middle. Singapore, Dubai, and Zurich held their places, while Tokyo climbed two spots on currency and Madrid and Lisbon rose on the strength of the remote work economy. The cities that slipped were the ones caught by housing crunches rather than any decline in their fundamentals, a reminder that a single fast moving axis can reorder the middle of the list while the top stays stable.

One practical use of the table is as a shortlist generator rather than a verdict. A reader narrows by region and budget first, takes the three or four cities that survive, and then runs each through the comparison engine and the city profiles to make the real decision. The rank tells you a city is worth the shortlist; the profile and the head to head tell you whether it fits your life. Used that way, a 7.9 city you can afford and reach often beats a 9.1 city you cannot, and the index is doing its job when it sends you to look closer rather than when it makes the choice for you.

The atlas maintains this ranking alongside fifty other category lists and 25,000 comparison pages, all drawn from the same underlying scores. If a city sits at 8.4 here, that same 8.4 feeds its placement on the remote work, families, and retirement tables, weighted differently for each audience. The consistency is the point: a reader can move between lists knowing the numbers were built the same way, and can trust that a city ranked here was not flattered by a metric invented to make it look good.

The method, in full.

Transparent, repeatable, and the same across all 5,000 cities in the atlas.

The everycity index is a 10 point composite built from seventeen axes, scored identically for all 5,000 cities in the atlas. The five heaviest are cost of living, safety, weather, jobs and salary, and healthcare; the remaining twelve range from transit and walkability to nightlife, education, internet speed, and air quality. We normalize each axis against the global range, weight them, and sum to the headline score. A city scores 8.0 or above only by being broadly excellent, which is why the table runs green through the top eleven and amber below.

We pull the inputs from public, repeatable sources: Numbeo and Mercer for cost, the EIU and national police data for safety, national meteorological offices for climate, the OECD and World Bank for income and health outcomes, and Speedtest for internet. No city pays to appear, and no tourism board has any input. The full weighting is on the methodology page, and reader corrections feed the next quarterly cut.

The list deliberately rewards balance over specialization. A city that wins one axis and fails three will not place: Dubai ranks second only because its tax and sunshine strengths sit alongside genuine safety and services, not in spite of weak ones. Cities famous on a single dimension, a beach or a nightlife scene, tend to surface on the specialist rankings instead, such as nightlife or best weather, rather than here.

The numbers refresh every quarter against the latest data drops, with the next cut shipping in August 2026. The relocation score tool takes your current city and any target on this list and returns a graded 1 to 100 fit score on the same data, the where should I live quiz is the entry point for readers without a shortlist, and the cost converter runs the salary math between any two cities. For the wider context, the quality of life ranking, the cheapest cities ranking, and the families ranking cut the same data for different priorities.

The weighting is deliberate and public. Cost, safety, weather, jobs, and healthcare together account for sixty percent of the composite, on the view that these are the axes that most shape daily life regardless of taste. The remaining forty percent spreads across the twelve secondary axes, so a city cannot buy a top score by excelling on amenities while failing the fundamentals. We cap the contribution of any single axis so that no city rides one extreme number to the summit.

Every input is public and repeatable. We do not run reader popularity surveys or accept submissions from cities, tourism boards, or sponsors, because the value of the list depends on it being uninfluenced by the places it ranks. Where two sources disagree, we take the more conservative reading and note the spread. The raw axis scores for every city sit on the individual profiles, so a reader can audit how a city earned its composite rather than taking the headline number on trust.

The method has limits worth stating plainly. A city average hides neighborhood variance, so the 7.7 of London blends districts that would score 9 with districts that would score 5. The index also lags reality by a quarter, since it refreshes on a fixed cadence rather than in real time. Reader corrections, especially from residents who catch a stale rent figure or a changed visa rule, feed directly into the next cut, and the contact page is the fastest route to flag one.

The color bands in the table follow the same rule as every data point in the atlas: a score of 8.0 and above prints green, 6.0 to 7.9 prints amber, and anything below 6.0 prints red, though no city below 6.0 reaches a best cities table by definition. The bands are a reading aid, not a separate judgment, and they apply identically to the safety, weather, and cost scores on every profile, so a reader learns the scale once and carries it across all 5,000 cities.

A closing note on honesty. No single ranking can capture the texture of a place, and a city you love may sit at number twenty while a city you would never choose sits at number four. The value of the index is not that it overrides taste but that it gives taste a baseline to argue with, a common scale built from public data that the same way for every city in the atlas. Disagree with the order, and the methodology and the profiles are there to show you exactly where your priorities and ours diverge.