Band 6.5 IELTS Writing Task 1 Model Answer
Overall Band Score: 6.5 · Cambridge IELTS 11 · 2026-07-28
IELTS Writing Task 1 question
The take below gives information about the underground railway systems in six cities.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
Underground Railway Systems
City Date opened Kilometers of route Passengers per year (in millions) London 1863 394 775 Paris 1900 199 1191 Tokyo 1927 155 1927 Washington DC 1976 126 144 Kyoto 1981 11 45 Los Angeles 2001 28 50
Student answer (Band 6.5)
The table Provides data on the underground railway systems in six various cities with kilometers it covered and total passengers per year.
Overall , it is lucidly visible that London railway is the longest among others .While the highest busy on is Tokyo.
A glance at the data of the table, London system was built in 1863 which covers a route of 394 km with 775 millions passengers per year. While Kyoto was built in 1981 which is the shortest and densely populated . Los Angeles was the latest but is 28 km long with 50 millions people per year.
Analyzing further , Paris railway is 199 km long with 1191 millions of passengers per year. while Tokyo was constructed in 1927 which covers 155 km. It is the highest used railway among others which accounted for 1927 millions of users. Moreover Washington DC covers area of 126 km with 144 people per year.
AI examiner evaluation
| Criterion | Band |
|---|---|
| Task Achievement / Task Response | 6.5 |
| Coherence and Cohesion | 6.5 |
| Lexical Resource | 6.0 |
| Grammatical Range and Accuracy | 6.0 |
| Overall | 6.5 |
Task Achievement / Task Response — Band 6.5
The response covers all the required data points and identifies key features such as the oldest/longest system (London) and the busiest (Tokyo). However, the analysis is somewhat superficial. For instance, the description of Kyoto as 'densely populated' is an external assumption not supported by the provided data. Additionally, the comparison between cities could be more sophisticated; rather than listing facts for each city, grouping them by characteristics (e.g., oldest vs. newest, or high-usage vs. low-usage) would better demonstrate the ability to select and report main features. The summary is accurate but lacks a clear, analytical overview of the trends.
Coherence and Cohesion — Band 6.5
The essay is organised into paragraphs, which helps the reader follow the information. However, the use of cohesive devices is somewhat mechanical and occasionally awkward, such as 'A glance at the data of the table' and 'Analyzing further'. The transition between sentences is sometimes abrupt, and the logical progression is hindered by the repetitive structure of listing facts city by city. Referencing is generally clear, but the overall flow would benefit from more varied linking words and a more cohesive structure that connects the data points rather than just presenting them in isolation.
Lexical Resource — Band 6.0
The vocabulary is adequate for the task but lacks the precision and variety expected at higher bands. There are some inaccuracies, such as 'highest busy on' (which is grammatically incorrect and imprecise) and '144 people per year' (the table specifies millions). The range of vocabulary is limited to basic descriptors like 'longest', 'latest', and 'highest used'. To improve, you should incorporate more precise terminology related to data reporting, such as 'the most heavily utilised', 'the most recently established', or 'a significant disparity'.
Grammatical Range and Accuracy — Band 6.0
The response contains a mix of simple and complex sentence structures, but there are frequent errors in grammar and punctuation. Examples include 'The table Provides data' (unnecessary capitalisation), 'with kilometers it covered' (awkward phrasing), and '1191 millions of passengers' (incorrect pluralisation of millions). While these errors do not completely impede communication, they are noticeable and occur throughout the text. The use of articles and prepositions is also inconsistent. Increasing the variety of complex structures while ensuring accuracy in subject-verb agreement and pluralisation would significantly improve the score.
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