Numbeo VS FriendlyData

• User-Generated Data
  Numbeo relies on contributions from users around the world, providing a diverse and broad range of data on cost of living in many locations.
• Wide Coverage
  The platform covers numerous countries and cities worldwide, making it useful for global comparisons of cost of living metrics.
• Regular Updates
  Numbeo is frequently updated with new data, reflecting recent changes in living costs which can be beneficial for up-to-date information.
• Comprehensive Categories
  Includes a wide array of cost categories such as housing, food, transportation, and utilities, helping users get a detailed view of living expenses.
• User-Friendly Interface
  The website's interface is designed to be intuitive and easy to navigate, making it accessible for users seeking information quickly.

Possible disadvantages

• Data Quality Variability
  Since the data is user-generated, the accuracy and reliability might vary based on the number and expertise of contributors in each area.
• Potential for Outdated Information
  In locations where fewer users contribute data, the information might not be updated as regularly, leading to potential outdated data.
• Lack of Verification
  Numbeo lacks a formal verification process for the data submitted, which can raise questions about the credibility of the information provided.
• Sample Size Limitations
  Smaller cities or less popular locations might have limited data due to fewer contributors, affecting the robustness of comparisons in these areas.
• Possible Bias
  The data may be biased towards the experiences and spending habits of those who contribute, which might not represent all demographics accurately.

• Ease of Use
  FriendlyData allows users to interact with databases using natural language queries, which makes it accessible for non-technical users who are not familiar with complex database query languages.
• Time-Saving
  By enabling natural language processing, FriendlyData reduces the time it takes for users to get the information they need, facilitating quicker decision-making processes.
• Integration
  FriendlyData can be integrated with various platforms and services, making it versatile for different business needs.

Possible disadvantages

• Complex Queries Limitation
  While FriendlyData is useful for simple queries, it may struggle to accurately interpret and execute more complex queries, limiting its effectiveness for advanced data analysis.
• Language Ambiguity
  Natural language processing might not always accurately interpret user queries, especially if the input is ambiguous or lacks specificity.
• Dependency on Vendor
  Relying on third-party services like FriendlyData introduces dependency on the vendor for maintenance, updates, and support, which could pose risks if the service changes or is discontinued.

• Employment with Portugal based company. What would be cost of living ?

  Also you can check numbeo.com/cost-of-living for an idea of the cost of living, https://www.idealista.pt/ is one of the most popular sites for housing that will be likelly your major cost. Source: over 5 years ago

Tracking FriendlyData since Mar 2021.