The graph shows the number of shops that closed and the number of new shops that opened in one country between 2011 to 2018.

The graph shows the number of shops that closed and the number of new shops that opened in one country between 2011 to 2018.
The given chart displays the
number
of newcomers
shops
opening in a country and the
number
of closed
shops
from 2011 to 2018.
Overall
, the highest opening of the new
shops
happened in 2011 and the lowest was in 2018. 2013 was the highest year for
shops
closed and the lowest was 2015. The first line shows, In 2011, the
number
of new
shops
started at 8500 and extremely decreased in 2012 to 4000. Two years later, the statistic rose to 6100 and fell to 4000 in 2015, the same
number
as 2012.
However
, the
number
was stable between 2015 to 2016 but slightly increased in 2017 before falling again in 2018 at 3000. The second line illustrates the statistic began at 6300 in 2011 and rose to 7100 in 2013. Between 2013 and 2015, the
number
decreased to 2015, which was the lowest in history.
Moreover
, in 2015 closed
shops
increased to 5100, slightly decreased to 500, and in 2018 rose to 5100. Both lines meet the exact line between 2011 and 2012. In 2014, both lines almost met the same
number
and intersected between 2005 and 2016. Meanwhile, the
number
of people opening and closing
shops
fluctuated, but the same characteristic that happened to both was the
number
decreased in 2018.
Submitted by ieltscuns2022 on

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Sentences: Add more complex sentences.
Vocabulary: Replace the words number, shops with synonyms.
Vocabulary: Rephrase the word "number of" in your introduction.
Vocabulary: The word "number of" was used 4 times.
Vocabulary: The word "decreased" was used 4 times.
Vocabulary: The word "fell" was used 2 times.
Vocabulary: The word "increased" was used 2 times.
Vocabulary: The word "slightly" was used 2 times.
Vocabulary: Use several vocabularies to present the data in the second paragraph.
Topic Vocabulary:
  • trend
  • fluctuation
  • peak
  • decline
  • surge
  • stabilize
  • correlation
  • economic conditions
  • consumer behavior
  • technological advancements
  • urban development
  • employment
  • retail sector
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