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Line Graph

Band 7+: The line graph below gives information about the rates of unemployment between 1991 and 2005 in three different countries. The table shows the percentage of men and women in the workforce in the three countries. Summarize the information by selecting and reporting the main features, and make comparisons where relevant.

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Image for topic: The line graph below gives information about the rates of unemployment between 1991 and 2005 in three different countries. The table shows the percentage of men and women in the workforce in the three countries. Summarize the information by selecting and reporting the main features, and make comparisons where relevant.

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The image shows unemployment rates (%) for Spain, Germany, and Italy from 1991 to 2005. Spain starts at 15% in 1991, peaks at 19% in 1995, and gradually declines to 9% by 2005. Germany begins at 6% in 1991, rises to 9% in 1997, fluctuates, and peaks at 10% by 2005. Italy consistently remains between 8% and 12% throughout the period, starting at 8% in 1991, peaking just above 12% in 2001, and settling at around 8% by 2005.

Given the complexity of the image, the above description may not be entirely accurate.

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The given line chart demonstrates the unemployment rates among three nations Spain, Germany and Italy during the period 1991-2005, while the table below gives information about the proportion of employed men and woman in the selected countries.

Overall, Italy started and finished as the country with the least unemployment rate and the highest employment proportion, while Germany saw a significant rise in the rate of unemployment.

Specifically, in 1991, the highest unemployment rate belonged to Spain with 13%, whereas that of Germany was the lowest with merely 4%. The proportion in Spain rose to 18% and levelled off until 1995, then decreased steadily to 8% in 2005. Conversely, Germany underwent ups and downs in the unemployment rate, until peaked at 11% in 2005.

Regarding the workforce, although 77,1% of Italian men was employed people, Germany stood out as the nation with the most employed women by more than half. Spain had both the lowest rates in employed men and woman.

Word Count: 160

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Overall Band Score

(+/- 0.5)

Vocabulary Complexity:
C1 - Intricate
Strive to incorporate even richer and more precise language.

Grammar Mistakes: N/A

Vocabulary Repetition:

germany: 5

unemployment: 4

spain: 4

employed: 4

proportion: 3

Try using synonyms for the above words

Task Response

The report covers the main trends and makes some comparisons, but there are a few omissions and inaccuracies. To improve, ensure all key features are accurately represented and consider adding more specific data points to support your overview.

Coherence & Cohesion

The report is generally well-organized with a clear structure, including an introduction, overview, and specific details. Transitions between paragraphs are present but could be smoother to enhance the flow. Consider using more varied cohesive devices to connect ideas within and between paragraphs. For example, in the third paragraph, you could add a transition word or phrase to link the discussion of Spain's unemployment rate to Germany's unemployment rate more explicitly.

Lexical Resource

The report demonstrates a good range of vocabulary related to the topic of unemployment and employment rates. There is room to enhance the sophistication of the language used. For instance, instead of 'rose to 18% and levelled off,' you could use more precise and varied vocabulary to describe the trend. Also, be careful about word choice; for example, 'employed people' could be rephrased for better clarity and conciseness.

Grammatical Range & Accuracy

The report demonstrates a good command of grammar, with a variety of sentence structures used. However, there are some grammatical errors and phrasing issues that need attention. For example, '77,1% of Italian men was employed people' contains errors in number agreement and phrasing. Ensure subject-verb agreement and use more precise language. Proofreading carefully for these types of errors will improve the overall accuracy of the report.

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