The graph below gives information about the percentage of the population in four Asian countries living in cities from 1970 to 2020, with predictions for 2030 and 2040. Summarise the information by selecting
The graph provides data on the proportion of the population residing in urban areas across four Asian countries from 1970 to 2020, along with projections for the years 2030 and 2040.
Overall, Malaysia had the highest percentage of urban population throughout the period, while Thailand consistently had the lowest. All four countries showed an increasing trend in urbanization, with predictions indicating that this growth will continue in the future.
Delving into details, in 1970, the urban population in Malaysia was approximately 30%, higher than in the Thailand and Indonesia. By 2020, this figure had risen sharply to around 75%. It is predicted to reach 85% by 2040. The Philippines started at about 30% in 1970, similar to Malaysia, and grew steadily, reaching just above 50% in 2020. By 2040, it is expected to rise further to around 60%.
Indonesia had the lowest urban population in 1970, at only 13%. However, it increased significantly to nearly 50% by 2020, with a forecast of 60% by 2040. Similarly, Thailand experienced consistent growth, from about 18% in 1970 to 30% in 2020. It is projected to reach over 45% by 2040. In summary, urbanization has increased in all four countries, with Malaysia remaining the most urbanized and Thailand the least.
The essay is logically organized with a clear overview and detailed analysis of each country’s urbanization trends. However, some comparisons could be more explicit.
Suggestions
- Enhance comparison between countries.
- Use linking words to improve flow.
The vocabulary is appropriate and varied, but there are occasional inaccuracies.
The essay demonstrates a good range of grammatical structures with minor errors.
The essay effectively summarizes the graph and provides a clear overview with specific data points. Some details could be more precise.
Suggestions
- Include more precise data points for clarity.
- Ensure all countries are equally detailed.