The pie charts below compare household spending in the UK in 1980 with predictions for 2030. Summarise the information by selecting and reporting the main features, and make comparisons where relevant.

Part 1 (Academic)
7.0

Sample Essay with Corrections

The pie charts is showing the comparison between household expenses in the UK for the year 1980 and predictions tofor 2030. Overall, there are both similarities and differences in the spending patterns over the 50-year period. In 1980, the largest chunkportion of spending goeswent to housing at 30%. Leisure ranked second, accounting for about 20% of total sexpenditure. Transport coame third, representing around 15%. The other main categories include food, which takesook up 12%, clothing at an 8% share, and finally, 15% allocated to other expenses. Turning to the 2030 forecast, housing continues to be the biggest expenditure, but it's proportion increases significantly to almost half of total household spending at 45%. In contrast, the percentage allocated to leisure decreases markedly, dropping by half to only 10% in 2030 compared to the 1980 figures. Transport remains relatively stable, comprising approximately 16% of the expenses. Meanwhile, food expenses sees a slight decline to 10%. Clothing decreases to just 5% of total spending in 2030. Lastly, the "'other"' category fell by more than half, making up a mere 7% share. In conclusion, while housing remains the top expense for UK households in both in 1980 and the 2030 projections, its share of total spending rises noticeably. On the other hand, the proportion of spending on leisure and other miscellaneous items is expected to decrease significantly over the 50-year timeframe.
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Expert Feedback

The essay effectively summarizes the main features of the pie charts and makes relevant comparisons between 1980 and 2030, demonstrating a good understanding of the task. Key strengths include a clear structure with an introduction, body paragraphs, and a conclusion, as well as appropriate vocabulary for the task. However, critical areas for improvement include grammatical accuracy, particularly with subject-verb agreement and tense consistency. The use of cohesive devices could also be enhanced to improve the flow between ideas. The repetition of certain phrases indicates a need for more varied vocabulary. Structural changes made include correcting grammatical errors, improving clarity in the description of data, and enhancing transitions between paragraphs. For further improvements, the writer could incorporate more specific data points, such as explicitly stating percentage changes for each category, and vary the vocabulary to avoid repetition. The tone used is appropriate for an academic task, maintaining a formal and informative style throughout.

Detailed Scores

Coherence And Cohesion
The essay is generally well-organized, with a clear introduction, body, and conclusion. However, some transitions between ideas could be smoother. For instance, using cohesive devices like 'in addition' or 'furthermore' could help link the points more effectively. The overall flow is good, but minor adjustments could enhance coherence.
7.0
Grammatical Range And Accuracy
The writing displays a reasonable range of grammatical structures, but there are several grammatical errors, such as 'is showing' instead of 'shows', and 'come third' instead of 'comes third'. These errors affect the overall clarity and accuracy of the writing. To improve, the writer should focus on subject-verb agreement and tense consistency.
6.5
Lexical Resource
The vocabulary used is appropriate for the task, with terms like 'expenditure', 'proportion', and 'allocated' demonstrating a good range. However, there are some repetitive phrases, such as 'largest chunk of spending' and 'total spending', which could be varied. Incorporating synonyms or more sophisticated expressions could elevate the lexical resource score.
7.5
Task Achievement
The response effectively summarizes the main features of the pie charts and makes relevant comparisons between 1980 and 2030. However, it could improve by providing more specific data points and clearer distinctions between categories. For example, explicitly stating the percentage changes for each category would enhance clarity.
7.5

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