The charts give information about employment in the UK in 1998 and 2012. Summarise the information by selecting and reporting the main features, and make comparisons where relevant.

The charts give information about employment in the UK in 1998 and 2012.

Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The pie charts display the percentages and numbers of males and females working in The UK in the years 1988 and 2012.
Overall
, the number of full-time
men
had the highest percentage in both years 1988 and 2012
while
men
part-time had the least.
Women
par-time
Correct your spelling
part-time
show examples
had
the
Correct article usage
apply
show examples
second place in 1988 and slightly went down in 2012,
furthermore
, the
amount
Change the quantifier
number
show examples
of
women
working full-time abruptly increased in 2012 respect with
1988
Change preposition
to 1988
show examples
. In 1988 nearly half of the
workers
were
men
full-time with 53% and 12539
workers
being the highest proportion.
Women
working full-time started with 4482
workers
,
however
, in 2012
this
number significantly went up reaching 7696 people and nearly a quarter of the proportion. The proportion of
women
working
par-time
Correct your spelling
part-time
show examples
had second place in 1988 with 5268
workers
and 22% and
men
part-time had the
least
Correct word choice
lowest
show examples
number and the
least
Correct word choice
lowest
show examples
percentage 1550 and 6% respectively. These numbers remain in 2012 with no significant changes.
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Sentences: Add more complex sentences.
Vocabulary: Replace the words men, women, workers with synonyms.
Vocabulary: The word "numbers of" was used 2 times.
Vocabulary: The word "percentages" was used 3 times.
Vocabulary: The word "proportion" was used 3 times.
Vocabulary: The word "went down" was used 2 times.
Vocabulary: The word "nearly" was used 2 times.
Vocabulary: The word "significantly" was used 2 times.

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Topic Vocabulary:
  • employment rate
  • economic landscape
  • information technology
  • service industry
  • manufacturing
  • agriculture
  • sector shift
  • healthcare sector
  • public administration
  • education sector
  • advancements in technology
  • traditional industries
  • modern sectors
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