Digital Nomad Cost of Living Index 2026

Cities Tracked

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Worldwide

Cheapest City

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Most Expensive

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Global Average

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Monthly Budget

Region Comparison

Average estimated monthly budget by region.

Monthly Budget Comparison

Estimated monthly budget (USD) including rent, food, and basic necessities.

Explore the Data

City Region Monthly Budget 1BR Rent (Center) Cheap Meal Coffee Coworking Internet (Mbps) Nomad Score

Frequently Asked Questions

What is the cheapest city for digital nomads?

Based on our 2026 data, Da Nang and Chiang Mai are among the cheapest popular cities for digital nomads, with estimated total monthly budgets often falling below $800 depending on lifestyle.

How much does it cost to live in Chiang Mai?

In 2026, a reasonable digital nomad monthly budget for Chiang Mai is around $700 - $900. A 1-bedroom apartment in the city center costs roughly $460/month, and inexpensive meals are around $2.20.

Is Lisbon expensive for digital nomads?

Compared to Southeast Asia or Latin America, Lisbon is relatively expensive. Rents in the city center average around $1,560 for a studio/1BR, pushing the estimated monthly budget over $2,500.

What is the best city for remote workers?

The "best" city depends on preferences. For budget travelers, Da Nang or Chiang Mai. For European timezone and culture, Lisbon, Barcelona, or Budapest. For Latin America, Medellín and Buenos Aires are highly popular.

How much money do you need to be a digital nomad?

You can survive on under $1,000/month in Southeast Asia or parts of Latin America. For European cities, plan for $2,000 - $3,000. In North America, cities like New York or Miami require upwards of $5,000+ per month.

Methodology

Data was aggregated in 2026 using crowd-sourced cost of living databases (such as Numbeo). The "Monthly Budget" is a simplified estimation tailored for remote workers: Rent for a 1-bedroom apartment in the city center + 60 inexpensive restaurant meals + 30 coffees + $50-$100 for local transport/misc. Prices are in USD and fluctuate based on exchange rates and seasonality. Null values indicate insufficient reliable data.