The chart below shows the percentage of adults of different ages in the UK who used the Internet every day from 2003-2006. Summarise the information by selecting and reporting the main features, and make comparisons where relevant.

The chart below shows the percentage of adults of different ages in the UK who used the Internet every day from 2003-2006. Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The bar chart illustrates the proportion of
people
using the Internet over a period running from 2003 to 2006.
Overall
, the young
age
group
from 15-24 was the highest percentage compared with the other
age
groups.
In addition
, there was an increase in the proportion of
people
of all
age
brackets during the entire period. In 2003, securing the top position was the 16-24-
year-s
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years
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old participants, at 80%.
This
was followed by
people
aged 45-54 and 25-44, with
respectively
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respective
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figures being 60% and 50%. Meanwhile, the proportion of the
group
55-64 was about 30%.
In particular
, there was almost no one aged 65+ using the internet in 2003.
Thereafter
, the participation rate in
people
of the
group
16-24 increased dramatically and
then
reached a peak of 100% in the next 2 years, before declining by 10% in 2006.
Besides
, the
age
group
25-44 and 45-54 had a similar trend, in which the figure o for them witnessed a considerable rise,
then
came to 80%
at the end
of
period
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the period
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.
Likewise
, a sharp growth was observed in
the
Correct article usage
apply
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internet users aged 55-64 and 65+, at 50% and 30%
in
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apply
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turn in 2006.
Submitted by n.thach.tu.a2 on

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Vocabulary: Replace the words people, age, group with synonyms.
Vocabulary: The word "figures" was used 2 times.
Vocabulary: The word "figures" was used 2 times.
Vocabulary: The word "proportion" was used 3 times.
Vocabulary: The word "increase" was used 2 times.

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Topic Vocabulary:
  • percentage
  • age group
  • daily internet use
  • trend
  • increase/decrease
  • upward/downward trend
  • year-wise
  • distribution
  • fluctuation
  • highest/lowest
  • technological advancements
  • social changes
  • targeted marketing
  • internet usage patterns
  • technological familiarity
  • lifestyle
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