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Band 6+: The table below compares actual and predicted figures for populations in Millions in three different cities

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The image is a table showing actual and predicted population figures for Sao Paulo, Jakarta and Shanghai in millions. In 1990, Sao Paulo's population was 15 million, Jakarta's was 9.5 million, and Shanghai's was 13.5 million. By 2000, predicted populations were 24 million for Sao Paulo, 14 million for Jakarta, and 17 million for Shanghai. However, actual populations in 2000 were lower, with Sao Paulo at 18 million, Jakarta at 11.5 million, and Shanghai at 12.5 million.

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

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The table gives information on real and projected numbers for population in millions in Sao Paulo, Jakarta, and Shanghai cities in the years 1990 and 2000.

It is clear that, no city attained the projected approximation of total number of people after a decade.

In 1990, the actual population of Sao Paulo was the highest with15 million and it was predicted that by 2000 the population could rise to 24 million but instead the real figure was 18 million. This was an increase by 3 million but did not get close to the approximated figure. In Jakarta on the same year population was 9.5 million increased to 11.5 million by the year 2000 less by 2.5 million which was the expected figure.

Shanghai was the second highest in population registering 13.5 million in 1990 but over a period of 10years it reduced significantly to12.5 million falling short of the expected rise to 17 million by the year 2000.

Word Count: 158

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Overall Band Score

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

Grammar Mistakes: N/A

Vocabulary Repetition:

million: 10

population: 5

Try using synonyms for the above words

Task Response

The report effectively addresses the task by comparing the actual and predicted figures for all three cities. The overview is clear and identifies the main trend (that actual figures fell short of predictions). To improve, ensure that mathematical comparisons are precise; for example, the increase in Sao Paulo from 15 to 18 million is 3 million, but the comparison to the prediction could be more clearly articulated. Additionally, pay attention to minor typographical errors such as missing spaces (e.g., 'with15' and 'to12.5') to maintain professional presentation.

Coherence & Cohesion

The report follows a logical structure, with an introduction, an overview, and body paragraphs organized by city. However, the transitions between sentences and ideas could be smoother. Some sentences are somewhat long and run-on, which slightly disrupts the flow of information. To improve, try using more varied cohesive devices (e.g., 'In contrast,' 'Regarding,' 'Similarly') to link the comparison between actual and predicted figures more effectively.

Lexical Resource

The vocabulary used is adequate to convey the information, but it lacks the sophistication and variety required for higher bands. There is some repetition of words like 'figure' and 'population.' Additionally, some word choices are slightly awkward, such as 'projected approximation' or 'registering 13.5 million.' Aim to use a wider range of synonyms for 'increase' (e.g., surge, grow, climb) and 'decrease' (e.g., decline, drop, diminish), and ensure that collocations are natural.

Grammatical Range & Accuracy

The report demonstrates a mix of simple and complex structures, but there are several grammatical inaccuracies that affect clarity. Issues include missing spaces (e.g., 'with15', 'to12.5'), incorrect preposition usage, and awkward phrasing in sentence construction (e.g., 'In Jakarta on the same year population was 9.5 million increased to...'). Pay close attention to sentence boundaries and ensure that each clause is grammatically complete. Using more varied sentence structures, such as passive voice or relative clauses, would also enhance the grammatical range.

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Band 6+: The table below compares actual and predicted figures for populations in Millions in three different cities

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The table below compares actual and predicted figures for populations in Millions in three different cities

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