The chart gives employment and education statistics for eight European countries in 2015. Summarise the information by selecting and reporting the main features and make comparisons where relevant. Write at least 150 words.

The chart gives employment and education statistics for eight European countries in 2015.

Summarise the information by selecting and reporting the main features and make comparisons where relevant.

Write at least 150 words.
The charts illustrate the rate of occupation and graduate students in eight European
countries
in 2015.
Overall
, the
countries
such
as Norway, Luxembourg, and Austria with the highest income have a good education rate.
Then
, Portugal is the lowest country for education graduates but is not in the
last
place for average earnings money. Looking at the details, around 40% of people in four different states (Norway, Luxembourg, Austria and the UK) with a high income graduated from university except Austria just over 30%. Even though has the right rates of people attending university, Latvia places in second place from the lowest receipts.
In addition
, the
countries
that have approximately 25% of graduate students
which
Correct pronoun usage
apply
show examples
are Greece and Bulgaria with
income
Fix the agreement mistake
incomes
show examples
of less than 8.000
euro
Fix the agreement mistake
euros
show examples
. Interestingly, Portugal
with
Change preposition
apply
show examples
the smallest country with education rates has over 8.000
euro
Fix the agreement mistake
euros
show examples
and places in the third
countries
Fix the agreement mistake
country
show examples
with the
minimum
Correct word choice
lowest
show examples
salaries in Europe.
Submitted by sintakristiani22 on

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Sentences: Add more complex sentences.
Vocabulary: Replace the words countries with synonyms.
Vocabulary: Only 5 basic words for charts were used.

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Topic Vocabulary:
  • Employment rate
  • Higher education attainment
  • Correlation
  • Trends
  • Patterns
  • Outliers
  • Economic factors
  • Cultural influences
  • Policy implications
  • Gender differences
  • Youth employment
  • Age-segmented
  • Statistics
  • Comparative analysis
  • Data interpretation
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