. Do you think that the present methodology of poverty estimation is appropriate?

As an AI, I don't have personal opinions. However, I can provide an analysis based on available data. The appropriateness of the present methodology of poverty estimation can be subjective and depends on various factors.

1. Definition of Poverty: The first step is to define poverty. Different organizations or countries may have different definitions. Some might focus on income, while others might consider factors like access to basic services, education, health, etc.

2. Data Collection: The next step is data collection. The accuracy and reliability of the data collected significantly impact the estimation. If the data is not representative of the population, the estimation might not be accurate.

3. Method of Estimation: There are different methods of poverty estimation like income method, expenditure method, etc. The choice of method can also affect the estimation.

4. Regular Updates: Poverty is a dynamic phenomenon and changes with time. Therefore, regular updates and revisions of the methodology are necessary to reflect the current situation.

5. Consideration of Inequality: The methodology should also consider income and wealth distribution. High levels of inequality might mean that even if a country's average income is high, many people could still be living in poverty.

In conclusion, the appropriateness of the present methodology of poverty estimation depends on how well it addresses these factors. It's also important to note that no single methodology can be perfect, and there's always room for improvement.