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Band 5.5

The bar chart provides information about the level of female unemployment in four parts of the United Kingdom between the years of 2013 to 2014

The bar chart provides information about the level of female unemployment in four parts of the United Kingdom between the years of 2013 to 2014
#bar #information #level #unemployment #four #parts #kingdom #years
The rendered bar graph illustrates
about
Change preposition
apply
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the level of
female
Fix the agreement mistake
females
show examples
how
Correct word choice
who
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 are unemployed in four parts of the United Kingdom namely England, Wales, Scotland and Northern Ireland from 2013 to 2014. The data has been calibrated in
the
Correct article usage
apply
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terms of percentage.
Overall
, it is clearly seen that the highest amount of females were unemployed in the year
of
Change preposition
apply
show examples
2013.
According to
 the given data, In England,
the
Correct article usage
a
show examples
 minor difference of nearly 0.2% have been illustrated in the figure
of
Change preposition
for
show examples
 female
how
Correct word choice
who
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 were unemployed.
Moreover
, as compared
2013
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from 2013
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 to 2014, a rise of almost 0.6 per cent has been
showed
Change the verb form
showing
shown
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 in Scotland
womens
Correct your spelling
women
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 who
was
Correct subject-verb agreement
were
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 not doing any job. Moving
further
, 5.6% of folks were unemployed in the period of 2013 in Northern Ireland. Afterwards, the
amount
Change the quantifier
number
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 of unemployed females
was
Unnecessary verb
apply
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decreased and
reach
Wrong verb form
reached
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at
Remove the preposition
apply
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the
Correct article usage
apply
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4.6%.
Lastly
, 5.0% of the girls were unemployed in 2014.
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Conclusion: The conclusion is too long.
Common mistake: Your writing should be 150-250 words.
Vocabulary: The word "illustrates" was used 2 times.
▼
Vocabulary: The word "amount" was used 2 times.
▼
Vocabulary: The word "data" was used 2 times.
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Essentional vocabulary list for IELTS Writing 7+

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Topic Vocabulary:
  • unemployment rate
  • temporal trends
  • regional variations
  • economic policies
  • industry growth/decline
  • educational opportunities
  • social implications
  • gender equality
  • workforce participation
  • family income
  • employment opportunities
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