the bar chart shows the percentage of elderly citizens in three countries in 1980 2000 2030 summarise the information by selecting and reporting the main features and make comparisons where relevant

The bar graph illustrates the percentage of population who old from 65 years old and over in three countries is Canada, Germany, UK in 1980, 2000. 2030. Generally, Germany always has highest number of elderly citizens and the number in three countries increased annually from 1980 to 2000 and is expected to continue to increase in future.
In 1980, the figure of population in Canada is the lowest number at 10%. But it increased more 5% in 2000 and has a same number with UK. The proportion of old citizens in UK in 1980 just deficiency about 1% or 2% to close to Germany. However, the percentage of elderly population in Germany increased steadily by 5% from 15% to 20%.
The percent of elderly citizens also expect to rises in years ahead. The figure of old population in Canada expect to grows up in 2030 and it will higher than UK. The particular reason for this circumstance is climb by nearly 7% from 15% to almost 22%. Besides that the number of Germany always highest and it will increase more 5% and the percent in UK also grows up to 20% but it's change to lowest number.

Votes
Average: 7.4 (2 votes)

Grammar and spelling errors:
Line 1, column 180, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'has the highest'.
Suggestion: has the highest
..., 2000. 2030. Generally, Germany always has highest number of elderly citizens and the numb...
^^^^^^^^^^^
Line 1, column 330, Rule ID: IN_PAST[1]
Message: Did you mean: 'in the future'?
Suggestion: in the future
...and is expected to continue to increase in future. In 1980, the figure of population in ...
^^^^^^^^^
Line 3, column 48, Rule ID: TO_NON_BASE[1]
Message: The verb after "to" should be in the base form: 'rise'.
Suggestion: rise
...cent of elderly citizens also expect to rises in years ahead. The figure of old popul...
^^^^^
Line 3, column 118, Rule ID: TO_NON_BASE[1]
Message: The verb after "to" should be in the base form: 'grow'.
Suggestion: grow
...e of old population in Canada expect to grows up in 2030 and it will higher than UK. ...
^^^^^
Line 3, column 163, Rule ID: ENGLISH_WORD_REPEAT_BEGINNING_RULE
Message: Three successive sentences begin with the same word. Reword the sentence or use a thesaurus to find a synonym.
... up in 2030 and it will higher than UK. The particular reason for this circumstance...
^^^
Line 3, column 390, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'to the lowest'.
Suggestion: to the lowest
... UK also grows up to 20% but its change to lowest number.
^^^^^^^^^

Transition Words or Phrases used:
also, besides, but, however, so

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

Performance on Part of Speech:
To be verbs : 4.0 7.0 57% => More to be verbs wanted.
Auxiliary verbs: 2.0 1.00243902439 200% => OK
Conjunction : 10.0 6.8 147% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 6.0 5.60731707317 107% => OK
Preposition: 46.0 33.7804878049 136% => OK
Nominalization: 6.0 3.97073170732 151% => OK

Performance on vocabulary words:
No of characters: 890.0 965.302439024 92% => OK
No of words: 197.0 196.424390244 100% => OK
Chars per words: 4.51776649746 4.92477711251 92% => OK
Fourth root words length: 3.74642080493 3.73543355544 100% => OK
Word Length SD: 2.50605183659 2.65546596893 94% => OK
Unique words: 95.0 106.607317073 89% => More unique words wanted.
Unique words percentage: 0.482233502538 0.547539520022 88% => More unique words wanted or less content wanted.
syllable_count: 269.1 283.868780488 95% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 7.0 4.33902439024 161% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 2.0 3.36585365854 59% => More preposition wanted as sentence beginning.

Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 19.0 22.4926829268 84% => The Avg. Sentence Length is relatively short.
Sentence length SD: 39.2077798402 43.030603864 91% => OK
Chars per sentence: 89.0 112.824112599 79% => OK
Words per sentence: 19.7 22.9334400587 86% => OK
Discourse Markers: 3.1 5.23603664747 59% => More transition words/phrases wanted.
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 6.0 1.69756097561 353% => Less language errors wanted.
Sentences with positive sentiment : 3.0 3.70975609756 81% => OK
Sentences with negative sentiment : 2.0 1.13902439024 176% => 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: 0.162600463329 0.215688989381 75% => OK
Sentence topic coherence: 0.068200848468 0.103423049105 66% => OK
Sentence topic coherence SD: 0.0554217537005 0.0843802449381 66% => OK
Paragraph topic coherence: 0.13178896847 0.15604864568 84% => OK
Paragraph topic coherence SD: 0.0826615102624 0.0819641961636 101% => OK

Essay readability:
automated_readability_index: 9.7 13.2329268293 73% => Automated_readability_index is low.
flesch_reading_ease: 69.11 61.2550243902 113% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 8.3 10.3012195122 81% => OK
coleman_liau_index: 8.94 11.4140731707 78% => OK
dale_chall_readability_score: 7.14 8.06136585366 89% => OK
difficult_words: 32.0 40.7170731707 79% => More difficult words wanted.
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 9.6 10.9970731707 87% => OK
text_standard: 10.0 11.0658536585 90% => 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.