Top 100 Cities by Cost of Living for Expats, 2025
How to read the Cost of Living Index in practice
A city can feel expensive for different reasons: scarce central housing, regulated utilities and insurance, imported everyday goods, or a local currency that strengthened against the US dollar. To make cross-city comparison possible, this ranking uses the Cost of Living Index on a familiar scale: New York = 100. Cities above 100 are costlier than the New York baseline for the indexed basket; cities below 100 are cheaper.
The index is a relative price-level measure, not a household budget calculator. Two households can face very different costs in the same city depending on neighbourhood, rent type, schooling, commuting pattern and family size. The value of the index is that it highlights structural pressure points: rent pressure, service price levels and currency effects.
Top 10 cities by Cost of Living Index, 2025
| Rank | City, Country | Cost of Living Index |
|---|---|---|
| 1 | Zurich, Switzerland | 103.8 |
| 2 | Lausanne, Switzerland | 100.9 |
| 3 | Geneva, Switzerland | 100.7 |
| 4 | New York, NY, United States | 100.0 |
| 5 | Basel, Switzerland | 98.0 |
| 6 | Bern, Switzerland | 95.0 |
| 7 | San Francisco, CA, United States | 90.5 |
| 8 | Honolulu, HI, United States | 86.9 |
| 9 | Reykjavik, Iceland | 83.7 |
| 10 | Boston, MA, United States | 83.7 |
The bars visualise the same Top 10 values as the table above, using Numbeo’s 2025 city-level Cost of Living Index.
Patterns behind the ranking: rent pressure, local services, and currency effects
The Top 10 is dominated by a specific combination of forces: high housing costs in constrained markets, strong purchasing power and local service prices that remain elevated year-round. That combination explains why several Swiss cities cluster at the top. Even where grocery prices vary by neighbourhood, the overall index is pulled upward by housing and non-tradable services such as utilities, personal services, local transport and regulated fees.
A second pattern is the role of global job hubs, where demand is supported by internationally mobile labour markets. In these cities, newcomers compete for the same limited central housing stock as domestic high-income earners, students and corporate relocations. When that competition intensifies, the cost-of-living story becomes less about general inflation and more about rent-setting dynamics and the speed at which new supply can be added.
Finally, salary is not the same thing as affordability. A city can sit high on the cost index and still be attractive if wages and after-tax disposable income are proportionally high for the relevant occupation. The reverse can also hold: a city can look “moderately priced” in index terms but feel unaffordable if wages lag, if foreign hires face higher housing standards (e.g., larger apartments), or if childcare and commuting are structurally expensive. The ranking becomes much more useful when paired with an income lens: median wages, net pay or assignment compensation.
Top 100 cities by Cost of Living Index, 2025
Base: New York, NY = 100. Source: Numbeo Cost of Living Index by City 2025.
| Rank | City, Country | Cost of Living Index |
|---|---|---|
| 1 | Zurich, Switzerland | 103.8 |
| 2 | Lausanne, Switzerland | 100.9 |
| 3 | Geneva, Switzerland | 100.7 |
| 4 | New York, NY, United States | 100.0 |
| 5 | Basel, Switzerland | 98.0 |
| 6 | Bern, Switzerland | 95.0 |
| 7 | San Francisco, CA, United States | 90.5 |
| 8 | Honolulu, HI, United States | 86.9 |
| 9 | Reykjavik, Iceland | 83.7 |
| 10 | Boston, MA, United States | 83.7 |
| 11 | Singapore, Singapore | 79.1 |
| 12 | Seattle, WA, United States | 78.9 |
| 13 | Washington, DC, United States | 78.7 |
| 14 | London, United Kingdom | 77.9 |
| 15 | San Diego, CA, United States | 77.9 |
| 16 | Trondheim, Norway | 76.8 |
| 17 | Los Angeles, CA, United States | 76.3 |
| 18 | Tel Aviv-Yafo, Israel | 76.2 |
| 19 | Sacramento, CA, United States | 76.0 |
| 20 | Oslo, Norway | 74.4 |
| 21 | Philadelphia, PA, United States | 73.9 |
| 22 | Hong Kong, Hong Kong (China) | 73.6 |
| 23 | Chicago, IL, United States | 73.2 |
| 24 | Miami, FL, United States | 72.8 |
| 25 | Bergen, Norway | 72.2 |
| 26 | Atlanta, GA, United States | 71.7 |
| 27 | Denver, CO, United States | 71.6 |
| 28 | Copenhagen, Denmark | 71.3 |
| 29 | New Orleans, LA, United States | 71.2 |
| 30 | Portland, OR, United States | 71.2 |
| 31 | Tampa, FL, United States | 71.1 |
| 32 | Charlotte, NC, United States | 70.0 |
| 33 | Raleigh, NC, United States | 68.8 |
| 34 | Pittsburgh, PA, United States | 68.7 |
| 35 | Paris, France | 68.2 |
| 36 | Amsterdam, Netherlands | 67.7 |
| 37 | Sydney, Australia | 67.6 |
| 38 | Minneapolis, MN, United States | 67.3 |
| 39 | Jerusalem, Israel | 67.0 |
| 40 | Columbus, OH, United States | 66.8 |
| 41 | Canberra, Australia | 66.8 |
| 42 | Aarhus, Denmark | 66.5 |
| 43 | Nashville, TN, United States | 66.4 |
| 44 | Luxembourg, Luxembourg | 66.0 |
| 45 | Munich, Germany | 65.9 |
| 46 | Dallas, TX, United States | 65.8 |
| 47 | Baltimore, MD, United States | 65.8 |
| 48 | Haarlem, Netherlands | 65.3 |
| 49 | Surrey, Canada | 65.1 |
| 50 | Brighton, United Kingdom | 65.1 |
| 51 | Dublin, Ireland | 64.9 |
| 52 | Edinburgh, United Kingdom | 64.8 |
| 53 | Orlando, FL, United States | 64.6 |
| 54 | Las Vegas, NV, United States | 64.5 |
| 55 | Haifa, Israel | 64.3 |
| 56 | Victoria, Canada | 63.8 |
| 57 | Phoenix, AZ, United States | 63.8 |
| 58 | Helsinki, Finland | 63.6 |
| 59 | Madison, WI, United States | 63.6 |
| 60 | Lyon, France | 63.2 |
| 61 | Hamburg, Germany | 63.1 |
| 62 | Cork, Ireland | 63.1 |
| 63 | Seoul, South Korea | 63.1 |
| 64 | Tucson, AZ, United States | 63.1 |
| 65 | Vancouver, Canada | 62.7 |
| 66 | Saint Louis, MO, United States | 62.3 |
| 67 | Aberdeen, United Kingdom | 62.3 |
| 68 | Milan, Italy | 62.1 |
| 69 | Brussels, Belgium | 61.9 |
| 70 | Salt Lake City, UT, United States | 61.9 |
| 71 | Frankfurt, Germany | 61.8 |
| 72 | Stockholm, Sweden | 61.8 |
| 73 | Austin, TX, United States | 61.7 |
| 74 | Rotterdam, Netherlands | 61.5 |
| 75 | Manchester, United Kingdom | 61.5 |
| 76 | Adelaide, Australia | 61.5 |
| 77 | Toronto, Canada | 61.4 |
| 78 | Bristol, United Kingdom | 61.3 |
| 79 | Kelowna, Canada | 61.3 |
| 80 | Cologne, Germany | 61.3 |
| 81 | Vienna, Austria | 61.2 |
| 82 | Antwerp, Belgium | 61.2 |
| 83 | Calgary, Canada | 61.0 |
| 84 | Melbourne, Australia | 60.9 |
| 85 | Dusseldorf, Germany | 60.8 |
| 86 | Glasgow, United Kingdom | 60.7 |
| 87 | Houston, TX, United States | 60.6 |
| 88 | Boise, ID, United States | 60.6 |
| 89 | Stuttgart, Germany | 60.2 |
| 90 | Utrecht, Netherlands | 60.2 |
| 91 | Nuremberg, Germany | 60.0 |
| 92 | Eindhoven, Netherlands | 59.9 |
| 93 | Gent, Belgium | 59.8 |
| 94 | Jacksonville, FL, United States | 59.7 |
| 95 | Berlin, Germany | 59.6 |
| 96 | Graz, Austria | 59.6 |
| 97 | Halifax, Canada | 59.3 |
| 98 | Wellington, New Zealand | 59.3 |
| 99 | Essen, Germany | 59.1 |
| 100 | Auckland, New Zealand | 59.1 |
The chart aggregates the Top 100 list by region and plots the median (not the mean) to reduce sensitivity to a few extreme cities.
The histogram shows how many cities fall into each index band. Most cities in this Top 100 cluster between the low 60s and mid 70s, while a smaller group forms the high-cost tail above 80.
Two points help prevent misreading the charts. A tight histogram cluster does not mean the cities feel almost identical; it means the composite basket is similar after normalisation, while individual categories may still differ sharply. Regional medians can also shift even when the city set is stable, because exchange rates and local inflation can move the whole distribution.
For practical budgeting, start with the overall index to identify the likely cost tier, then separate the decision into housing (rent level and volatility), daily costs (food, utilities, transport) and institutional costs (fees, insurance requirements and taxes). That sequence is closer to how annual living costs actually accumulate.
What the ranking implies for mobility, competitiveness and household budgets
A high cost-of-living rank is not automatically a negative signal. In many cases it reflects a city’s economic strengths: deep labour markets, high-productivity sectors and persistent demand for centrally located housing. The ranking still carries practical implications for employers, policymakers and households, especially when the same structural constraints keep appearing at the top of the list year after year.
For employers and relocation planners, the key issue is volatility. If the indexed basket is dominated by rents, the main risk is not only the average price level but also the speed of adjustment: lease renewals, vacancy cycles and neighbourhood-level scarcity. If the pressure comes from services and regulated costs, expenses tend to be steadier but harder to offset through housing choices alone.
For city competitiveness, persistent top-tier cost levels often indicate that the demand side is stronger than the supply response. When housing supply, transport capacity, and utilities expansion lag behind job creation, costs rise in the places where households most want to live: safe districts with short commutes and high-quality services. In such settings, the index becomes a lens on capacity bottlenecks as much as on consumer prices.
- Housing supply is the main lever: expanding buildable capacity near employment and transit corridors reduces rent-driven spikes that dominate expat budgets.
- Transport and time costs matter: when commutes lengthen, households compensate by choosing costlier central housing; reliable transit can broaden “affordable” neighbourhood choice.
- Regulated utility and fee structures shape the floor: cities with high service and utility costs tend to keep a high baseline even when rents soften.
- Currency effects can shift rankings quickly: stronger local currency vs USD raises index values for international employees even without local inflation shocks.
For households, the most important point is that expensive does not mean impossible; it means trade-offs must be explicit. The same city can be workable for one profile, such as a high-demand profession with employer support and a small household, and prohibitive for another, such as a single-income household with larger housing needs, private schooling or long-term renting. A useful budget check asks where the pressure comes from: rent, transport, utilities, fees or exchange-rate swings.
Primary data sources and technical notes
- Numbeo — Cost of Living Index by City 2025 Primary source for the Top 100 city ranking and all table values. The index uses New York, NY as the 100 baseline. https://www.numbeo.com/cost-of-living/rankings.jsp?title=2025
- Numbeo — Methodology and index construction Explains how Numbeo cost-of-living indices are constructed, weighted and normalised. https://www.numbeo.com/common/motivation_and_methodology.jsp
- Mercer — Cost of Living City Ranking Corporate mobility reference used for context on international assignments, relocation budgets and currency effects. https://www.mercer.com/insights/total-rewards/talent-mobility-insights/cost-of-living/
- OECD — Purchasing Power Parities and price level indices Technical context for comparing price levels across economies. https://www.oecd.org/en/data/indicators/purchasing-power-parities-ppp.html
- World Bank — International Comparison Program Global price-comparison framework behind international price-level and PPP work. https://www.worldbank.org/en/programs/icp
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