The line graph shows thefts per thousand vehicles in four countries between 1990 and 1999 Summarize the information by selecting and reporting the main features and make comparisons where relevant

The given line graph illustrates the ratio between robberies and thousand vehicles in 4 different nations, namely Great Britain, Sweden, France, and Canada during a period of 10 years starting from 1990.
Overall, it can be highlighted that while Sweden had an upward trend in terms of vehicle crime rate, the opposite was true for the other countries over the examined years. Besides, the highest proportion of theft related to transportation was seen in the figure of Great Britain from 1990 to 1999.
In 1990, the ratio between the number of robberies and the quantity of vehicles in Great Britain was approximately 18 per thousand, which was nearly threefold that of Sweden. Over 4 years, while the road crime rate in the former country had a tendency to decrease to 17 thefts/ 1000 vehicles, there was a reverse in the trend of the latter nation with a dramatic growth to about 9 criminals/ 1000 vehicles. The 1993-1996 period witnessed sharp rises in the figures of both transport crime rates in Great Britain and Canada, with 20 per 1000 and 13 per 1000, respectively. At the end of the period, although a significant decline to 16 thefts per thousand vehicle, Great Britain continued to be the leading nation regarding road crime rate, whereas Sweden' transport crime ratio increase relatively, reaching the highest figure of 14 thefts per 1000 car.
Furthermore, a modest decrease was seen in the figure of France, from 9 to 7 robberies/ 1000 vehicles. Similarly, road crime rate in Canada went down from 8 to 5 thefts per thousand vehicles. Over the last period, while the proportion of car thefts in Canada experienced a gradual increase to 6 thefts in 1999, the ration between the number of robberies and thousand car in France fluctuated in the range from 7 to 8 thefts cases.

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

Grammar and spelling errors:
Line 1, column 66, Rule ID: NODT_DOZEN[1]
Message: Use simply: 'a thousand'.
Suggestion: a thousand
...strates the ratio between robberies and thousand vehicles in 4 different nations, namely...
^^^^^^^^
Line 3, column 848, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'car' seems to be countable, so consider using: 'cars'.
Suggestion: cars
...he highest figure of 14 thefts per 1000 car. Furthermore, a modest decrease was se...
^^^
Line 4, column 358, Rule ID: NODT_DOZEN[1]
Message: Use simply: 'a thousand'.
Suggestion: a thousand
...ion between the number of robberies and thousand car in France fluctuated in the range f...
^^^^^^^^

Transition Words or Phrases used:
besides, furthermore, if, regarding, similarly, whereas, while

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

Performance on Part of Speech:
To be verbs : 8.0 7.0 114% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 59.0 33.7804878049 175% => OK
Nominalization: 3.0 3.97073170732 76% => OK

Performance on vocabulary words:
No of characters: 1487.0 965.302439024 154% => OK
No of words: 305.0 196.424390244 155% => Less content wanted.
Chars per words: 4.87540983607 4.92477711251 99% => OK
Fourth root words length: 4.17902490978 3.73543355544 112% => OK
Word Length SD: 2.66959348475 2.65546596893 101% => OK
Unique words: 151.0 106.607317073 142% => OK
Unique words percentage: 0.495081967213 0.547539520022 90% => More unique words wanted or less content wanted.
syllable_count: 426.6 283.868780488 150% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 7.0 4.33902439024 161% => OK
Subordination: 3.0 1.07073170732 280% => Less adverbial clause wanted.
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 6.0 3.36585365854 178% => OK

Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 30.0 22.4926829268 133% => The Avg. Sentence Length is relatively long.
Sentence length SD: 58.6365073994 43.030603864 136% => OK
Chars per sentence: 148.7 112.824112599 132% => OK
Words per sentence: 30.5 22.9334400587 133% => OK
Discourse Markers: 6.2 5.23603664747 118% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 3.0 1.69756097561 177% => OK
Sentences with positive sentiment : 6.0 3.70975609756 162% => OK
Sentences with negative sentiment : 3.0 1.13902439024 263% => Less negative sentences wanted.
Sentences with neutral sentiment: 1.0 4.09268292683 24% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.17530308665 0.215688989381 81% => OK
Sentence topic coherence: 0.0836535845155 0.103423049105 81% => OK
Sentence topic coherence SD: 0.0464576901131 0.0843802449381 55% => OK
Paragraph topic coherence: 0.123921302697 0.15604864568 79% => OK
Paragraph topic coherence SD: 0.0203336774343 0.0819641961636 25% => 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: 16.8 13.2329268293 127% => OK
flesch_reading_ease: 57.95 61.2550243902 95% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 12.6 10.3012195122 122% => OK
coleman_liau_index: 11.62 11.4140731707 102% => OK
dale_chall_readability_score: 8.64 8.06136585366 107% => OK
difficult_words: 68.0 40.7170731707 167% => OK
linsear_write_formula: 13.5 11.4329268293 118% => OK
gunning_fog: 14.0 10.9970731707 127% => OK
text_standard: 14.0 11.0658536585 127% => 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.