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.

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.
The table depicts the percentage of people with post-secondary education
qualification
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qualifications
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and the rate of employment,
along with
the average yearly income, in eight countries in Europe in 2015.
Overall
, Norway was the best among the eight, having the highest proportion of highly educated citizens, the strongest employment rate, and the most earned annual salary. In terms of employment, it can be seen that all countries were doing great as all of them had at least half of
its
Correct pronoun usage
their
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residents active workers. Norway stood at the top as
three-quarter
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three-quarters
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of its population were employed,
while
Greece had the
least
Correct word choice
lowest
show examples
proportion of employed citizens at just over 50%. Norway, again, had a leading figure regarding the education of its people. The country topped the chart at 43%, followed by the United Kingdom and Luxembourg, at around 41%, Latvia and Australia, at about 31%, and the rest (Greece, Bulgaria, and Portugal) were less than 30%. With the high percentage of educated people, Norwegians
also
enjoyed the highest annual income on average of over 40,000 euros,
while
Bulgarians had the
least
Correct word choice
lowest
show examples
salary, earning more than 10 times less than the Norwegians in that same year.
Submitted by emteeme on

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Linking words: Don't use the same linking words: "while".
Vocabulary: The word "percentage" was used 2 times.
Vocabulary: The word "proportion" was used 2 times.
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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