The graph shows the number of visitors to four international museums between 1980 and 2015. Summarise the information by selecting and reporting the main features, and make comparisons where relevant.

The graph shows the number of visitors to four international museums between 1980 and 2015.

Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The line graph gives information about how many people visited four given international
museums
in a 35-year period (1980-2015).
Overall
, it is obvious that the Louvre constituted the biggest number of visitors throughout the whole timeframe. The popularity of Vatican
Museums
was gradually increasing,
while
Shenzhen and London Science
Museums
mainly went down. In detail, the initial number of attendees of the Louvre
Museum
was just under 8
million
in 1980 and
then
moderately increased to approximately 9
million
from 1985 to 2000. Compared with
museums
in Vatican City, which had about twice as few visitors as the Louvre. From the ,beginning Vatican
Museums
were becoming more popular among tourists and nearly doubled till the end of the period (from 5
million
to 10
million
). In terms of Shenzhen
Museum
, started with 4
million
sightseers and slowly decreased equalising with the visitors of the London Science
Museum
from 1990 to 2000 with somewhat 2,5
million
.
By contrast
, in 2005 the popularity rate of the London Science
Museum
swiftly reduced to 2
million
in 2015,
whereas
Shenzhen
Museum
witnessed an upward trend almost reaching 4
million
in the same year.
Submitted by belchicovaa on

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Sentences: Add more complex sentences.
Vocabulary: Replace the words museums, museum, million with synonyms.
Vocabulary: The word "gives" was used 2 times.
Vocabulary: The word "number of" was used 2 times.
Vocabulary: The word "about" was used 2 times.

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Topic Vocabulary:
  • visitor numbers
  • trend analysis
  • stability
  • popularity
  • significant changes
  • peak periods
  • low points
  • global tourism trends
  • economic downturns
  • natural disasters
  • tourist patterns
  • dynamic nature
  • factors influencing
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