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.
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The table illustrates employment and education conditions in eight different
countries
Use synonyms
in Europe in 2015.
Overall
Linking Words
, it can be seen that the average income was extremely different from one country to another.
While
Linking Words
employment and education rates were more homogeneous among these
countries
Use synonyms
. In all
countries
Use synonyms
, the employment rate of people between 16 and 64 years old was over 50%.
In addition
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, only Greece had a rate under 60% (50.6%),
while
Linking Words
the highest was in Norway (74.8%).
Furthermore
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, the proportion of people between 25 and 64 years old with a college or university education was around 30% and 40% in all
countries
Use synonyms
except for Portugal which had 22.9%. With regard to average incomes, Norway experienced the highest one with 41,483 euros,
on the other hand
Linking Words
, Bulgaria had the lowest average income with just 3,332 euros. It can be noticed that the average income was higher in those
countries
Use synonyms
that had a larger proportion of educated people, like Norway and Luxembourg.
Submitted by alessandrorepola.repola on

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Linking words: Don't use the same linking words: "while".
Vocabulary: Replace the words countries with synonyms.
Vocabulary: Only 4 basic words for charts were used.
Vocabulary: The word "proportion" was used 2 times.
Vocabulary: Use several vocabularies to present the data in the second paragraph.
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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