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Bar Chart

Band 7+: The bar chart shows information on the number of applications into 4 different faculties in 1990, 2023 and projections for 2030.

Image for topic: The bar chart shows information on the number of applications into 4 different faculties in 1990, 2023 and projections for 2030.
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The image shows student applications to 3 US universities in four faculty areas; in Biology: blue-university 1 has 3000, red-university 2 has 1500, green-university 3 has 1000; in Engineering: blue 4000, red 3000, green 1500; in Business: blue 1500, red 3000, green 4000; in Social Work: blue 1000, red 2022, green 2030.
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The bar chart providds information about the number of students applying to 3 American universities in terms of different faculties in 1990, 2023 and an estimated figure for 2030.

Overall, the number of applications for biology and engineering decreased significantly and is forecasted to continue to fall, while two other fileds experienced the opposite trends over the period shown/given. Engineering used to be the most competitive faculty,; however, business is projected to be the most registered field in the end of the timeframe.

Looking at the bar chart in more details, biology and engineering saw a similar tendency. Between 1990 and 2022, both figures fell by 1500 applications, accounting for 3000 and 4000 respectively. By 2030, the former is expected to exhibit a marginal reduction to just under 1000, whereas the latter followed a more drastic drop to the lowest point, at merely over 500, becoming the least popular faculty.

On the other hand, requests for business and social work grew up with a constant rate. Rising by 2000 every decade, the projected figure for business is nearly twice as high as that in the beginning of the timeframe, reaching a peak of 4000, which will equal to the starting point for engineering. Similarly, the figure for social work ascended slightly from 1000 in 1990 to roughly under 1500 in 2022, which is predicted to be the second highest competitive sector, standing at closely 2000 in 2030.

Word Count: 237

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