Band 6.0 IELTS Writing Task 1 Model Answer

Overall Band Score: 6.0 · Cambridge IELTS 18 · 2026-07-24

IELTS Writing Task 1 question

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. Summarize the information by selecting and reporting the main features and make comparisons where relevant.

 

Student answer (Band 6.0)

The given line graph illustrates about the percentage of the population in four asian countries living in cities namely Philippines, Malaysia, Thailand and Indonesia from 1970 to 2020 , with predictions for 2030 and 2040.Units are measured in percentage.

Overall, from 1970 till 2040 it is predicted that Malaysia was leading the population percentage and Thailand was least populated Nation.

In detail, in 1970 Malaysia has 30% population whereas it is widely predicted that till 2040 it will be nearly 89% population of Malaysia. Philippines shows up and down trend till 2040 which will be nearly 52%. It is likely to happen in future that Indonesia shows upward growth of people . In Thailand from 1970 to 1990 it shows high growth of citizens after that from 1990 to 2020 it approximately remains same which is 30% and it will show again high upward trend of individuals till 2040 it will be nearly 40%.

AI examiner evaluation

CriterionBand
Task Achievement / Task Response6.0
Coherence and Cohesion6.5
Lexical Resource6.0
Grammatical Range and Accuracy6.0
Overall6.0

Task Achievement / Task Response — Band 6.0

The response covers all four countries and the time frame provided. However, the analysis is somewhat superficial. While you identify the leading and trailing countries, the description of the trends lacks precision. For example, describing the Philippines as having an 'up and down trend' is vague and does not accurately reflect the data points provided in the graph. Furthermore, the comparison between countries is limited. To reach a higher band, you should focus on highlighting key data points (such as the starting and ending percentages) and identifying significant intersections or shifts in the trends more clearly rather than just listing general movements.

Coherence and Cohesion — Band 6.5

The essay is organised into an introduction, an overview, and a body paragraph. While there is a logical flow, the use of cohesive devices is somewhat mechanical and repetitive (e.g., 'In detail', 'from 1970 to 1990'). The transition between sentences could be smoother to improve the overall progression of ideas. Additionally, the overview is placed after the introduction, which is good, but it could be more effectively integrated. Paragraphing is present, but the body paragraph is quite dense and would benefit from being split to separate the trends of the four countries more clearly.

Lexical Resource — Band 6.0

The vocabulary is generally adequate for the task but lacks the precision and variety required for a higher band. You rely on basic descriptors like 'high growth' and 'upward growth'. There are also some awkward collocations, such as 'least populated Nation' (which refers to the percentage of urban population, not the total population size) and 'up and down trend'. To improve, try to incorporate more sophisticated vocabulary related to trends, such as 'fluctuated', 'remained stable', or 'projected to reach'. Spelling is generally accurate, but the phrasing is often simplistic.

Grammatical Range and Accuracy — Band 6.0

The response uses a mix of simple and complex sentence structures, but there are frequent grammatical errors. For instance, 'Malaysia has 30% population' should be 'Malaysia had 30% of its population' and 'it is widely predicted that till 2040' is slightly unnatural. There are also issues with article usage and tense consistency, such as 'it shows high growth' when referring to the past. While these errors do not completely impede communication, they occur frequently enough to impact the clarity of the report. Focusing on subject-verb agreement and correct tense usage for future predictions would be beneficial.

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