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How Many Months of Salary Do You Need to Buy a House in Europe?

The answer depends largely on where you live. A recent report by BestBrokers compares property prices across Europe to average salaries, offering insights into how many months of income it would take to afford a home.

Where in Europe is Buying a Home Most Affordable?

Denmark leads the pack as the most affordable country in Europe for homebuyers. According to the report, purchasing a 100-square-metre property in Denmark costs the equivalent of 114 net monthly salaries, making it the shortest saving time in Europe.

The report considered factors such as average net income, inflation, and “real” mortgage interest rates—mortgage rates adjusted for inflation. It’s important to note that the calculation assumes no spending on food, housing, childcare, or other expenses, offering a purely theoretical outlook.

Interestingly, despite ranking as Europe’s most affordable housing market, Denmark also holds the title of the most expensive EU country for goods and services, with prices 43% above the EU average in 2023, according to Eurostat. Still, Denmark’s relatively high average earnings—seventh in Europe—offset these costs.

Following Denmark, Ireland, and Sweden rank as the second and third most affordable European countries to buy a home. A 100-square-metre property costs the equivalent of 123 and 129 net monthly salaries in these nations, respectively—roughly 10 years of annual earnings.

Which European Countries Make Saving for a Home the Hardest?

At the opposite end of the spectrum are the Czech Republic and Slovakia, where saving for a home takes considerably longer. In Slovakia, for example, buying a 100-square-metre property costs 297 net monthly salaries—nearly 25 years of earnings. Even if someone managed to save half their income every month, it would take 50 years of disciplined saving to afford a home.

Where Are Homes the Most Affordable Globally?

Globally, South Africa emerges as the most affordable country to buy a home. A 100-square-metre property costs 71 times the average monthly salary, making it the fastest place in the world to save for a house. The United States comes second, requiring 76 monthly wages—equivalent to approximately six years of annual income. However, property affordability varies greatly between states in the U.S., with some regions significantly more expensive than others.

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The World’s Least Affordable Housing Markets

On the flip side, Nepal holds the title for the least affordable housing market, where a 100-square-metre home costs a staggering 684 monthly salaries. Turkey follows closely behind, with homes priced at 631 net wages, or over 52 years of income.

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How Many Monthly Salaries Does a 100-sq-metre Home Cost Around the World?

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Final Thoughts

This report sheds light on the stark disparities in housing affordability across Europe and the world. Whether you’re planning to buy a home in Denmark or dreaming of saving in Slovakia, understanding the cost-to-salary ratio is crucial for making informed financial decisions.

Disclaimer: The information provided does not constitute financial advice. Always conduct your own research to ensure it aligns with your personal circumstances. While we strive to deliver expert-backed guidance, reliance on this content is at your own risk.

Moonshot’s Kimi K2: A Disruptive, Open-Source AI Model Redefining Coding Efficiency

Innovative Approach to Open-Source AI

In a bold move that challenges established players like OpenAI and Anthropic, Alibaba-backed startup Moonshot has unveiled its latest generative artificial intelligence model, Kimi K2. Released on a late Friday evening, this model enters the competitive AI landscape with a focus on robust coding capabilities at a fraction of the cost, setting a new benchmark for efficiency and scalability.

Cost Efficiency and Market Disruption

Kimi K2 not only offers superior performance metrics — reportedly surpassing Anthropic’s Claude Opus 4 and OpenAI’s GPT-4.1 in coding tasks — but it also redefines pricing models in the industry. With fees as low as 15 cents per 1 million input tokens and $2.50 per 1 million output tokens, it stands in stark contrast to competitors who charge significantly more. This cost efficiency is expected to attract large-scale and budget-sensitive deployments, enhancing its appeal across diverse client segments.

Benchmarking Against Industry Leaders

Moonshot’s announcement on platforms such as GitHub and X emphasizes not only the competitive performance of Kimi K2 but also its commitment to the open-source model—rare among U.S. tech giants except for select initiatives by Meta and Google. Renowned analyst Wei Sun from Counterpoint highlighted its global competitiveness and open-source allure, noting that its lower token costs make it an attractive option for enterprises seeking both high performance and scalability.

Industry Implications and the Broader AI Landscape

The introduction of Kimi K2 comes at a time when Chinese alternatives in the global AI arena are garnering increased investor interest. With established players like ByteDance, Tencent, and Baidu continually innovating, Moonshot’s move underscores a significant shift in AI development—a focus on cost reduction paired with open accessibility. Moreover, as U.S. companies grapple with resource allocation and the safe deployment of open-source models, Kimi K2’s arrival signals a competitive pivot that may influence future industry standards.

Future Prospects Amidst Global AI Competition

While early feedback on Kimi K2 has been largely positive, with praise from industry insiders and tech startups alike, challenges such as model hallucinations remain a known issue in generative AI. However, the model’s robust coding capability and cost structure continue to drive industry optimism. As the market evolves, the competitive dynamics between new entrants like Moonshot and established giants like OpenAI, along with emerging competitors on both sides of the Pacific, promise to shape the future trajectory of AI innovation on a global scale.

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