The bar chart shows the number of cars per 1000 people in 5 countries in Europe in 2005, 2009 and 2015, compared with the European average. Summarise the information and make comparisons where relevant.

The bar chart compares the car ownership in five countries in Europe with and the average European statistics over a period of 10 years.

A glance at the charts reveals that the biggest the number of car owned was in country 5 while owning cars was the least popular in country 1. The total cars owned decreased in country 3 and remained stable in country 4.

In 2005, 1000 people in country 5 owned close to 900 cars, which was triple the number of automobiles in country 1. However, over the following four years, country 1's owned car increased by approximately 100 units, whereas the quantity of cars in country 5 saw a slight decrease of 50. The opposite trend can be seen in 2015 when there was a rapid decline in the figures for cars of country 1 while that of country 5 went up to nearly 100, making country 5 become the country which owned most cars. On the whole, country 1's number of cars was less than that of the average of the five countries while country 5's car ownership was higher than the average.

Turning to the other three countries, we can see that country 3 and country 4 owned the same quantity of cars which was 700 while country 2 owned a little bit less with 500 cars per 1000 in 2005. Country 4's car ownership remained exactly the same during the whole period. In 2009, country 3's car figures fell to 600, while country 2 saw a moderate rise in its cars.

Votes
Average: 6.7 (1 vote)
Essays by the user:

Grammar and spelling errors:
Line 7, column 124, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... the same quantity of cars which was 700 while country 2 owned a little bit less ...
^^
Line 7, column 150, Rule ID: LITTLE_BIT[1]
Message: Reduce redundancy by using 'little' or 'bit'.
Suggestion: little; bit
... which was 700 while country 2 owned a little bit less with 500 cars per 1000 in 2005. Co...
^^^^^^^^^^

Transition Words or Phrases used:
however, whereas, while, on the whole

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments

Performance on Part of Speech:
To be verbs : 8.0 7.0 114% => OK
Auxiliary verbs: 2.0 1.00243902439 200% => OK
Conjunction : 3.0 6.8 44% => More conjunction wanted.
Relative clauses : 8.0 3.15609756098 253% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 6.0 5.60731707317 107% => OK
Preposition: 40.0 33.7804878049 118% => OK
Nominalization: 0.0 3.97073170732 0% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.

Performance on vocabulary words:
No of characters: 1133.0 965.302439024 117% => OK
No of words: 258.0 196.424390244 131% => OK
Chars per words: 4.39147286822 4.92477711251 89% => OK
Fourth root words length: 4.00778971557 3.73543355544 107% => OK
Word Length SD: 2.27924444302 2.65546596893 86% => OK
Unique words: 125.0 106.607317073 117% => OK
Unique words percentage: 0.484496124031 0.547539520022 88% => More unique words wanted or less content wanted.
syllable_count: 325.8 283.868780488 115% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 4.0 4.33902439024 92% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 4.0 3.36585365854 119% => OK

Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 25.0 22.4926829268 111% => OK
Sentence length SD: 45.1043235178 43.030603864 105% => OK
Chars per sentence: 113.3 112.824112599 100% => OK
Words per sentence: 25.8 22.9334400587 112% => OK
Discourse Markers: 3.7 5.23603664747 71% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 5.0 4.09268292683 122% => OK
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.293608780064 0.215688989381 136% => OK
Sentence topic coherence: 0.149569313101 0.103423049105 145% => OK
Sentence topic coherence SD: 0.0531420436526 0.0843802449381 63% => OK
Paragraph topic coherence: 0.212366380244 0.15604864568 136% => OK
Paragraph topic coherence SD: 0.0377084586187 0.0819641961636 46% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.

Essay readability:
automated_readability_index: 12.1 13.2329268293 91% => Automated_readability_index is low.
flesch_reading_ease: 71.48 61.2550243902 117% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.5 10.3012195122 92% => OK
coleman_liau_index: 8.48 11.4140731707 74% => OK
dale_chall_readability_score: 7.2 8.06136585366 89% => OK
difficult_words: 38.0 40.7170731707 93% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 12.0 10.9970731707 109% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?

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Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 Out of 9
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.