The given pie charts show data on the population ages in Yemen and Italy in the year 2000 and also projected these portions of the population for the year 2050.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The charts below illustrate the data about the age distribution of Yemen and Italy in 2000 compare to 2050. In a glance, most pf the population of Yemen was between 0 to 15 years which will decrease in 2050. In contrast, it was between 15 to 59 years for Italy, which is predicted to go down in 2050.
50.1% of Yemeni were between 0 to 14 years in 2000 which is estimated to decrease and get to 37% in 2050. On the other hand, there were 46.3% in age 15 to 59 which will increase to 57.3% in 2050. Moreover, there were only 3.6 percent of people more than 60 years in 2000 which is projected to change a little and go up to reach 5.7% in 2050.
Most of the Italian (61.6%) were between 15 to 59 years in 2000 which will dramatically reduce to 46.2% in 2050. In contrast, there were 24.1% of 0 to 14 years in 2000 by a sharply surge in 2050. In addition, more than 60 years old people were 14.3% in 2000 which is predicted to face a little fall and reach to 11.5% in 2050.
- The given pie charts show data on the population ages in Yemen and Italy in the year 2000 and also projected these portions of the population for the year 2050.Summarise the information by selecting and reporting the main features, and make comparisons wh 67
- In many countries these days the number of people continuing their education after school has increased and the range of courses available at universities and colleges has also increased Do you think this as a positive or negative development 33
- The Table and the Bar chart below give information about travelling to work in Houston Texas Summarise the information by selecting and reporting the main features and make comparisons where relevant 51
- The maps below show the centre of a small town called Islip as it is now, and plans for its development.Summarise the information by selecting and reporting the main features, and make comparisons where relevant. 78
- The table below shows the proportion of different categories of families living in poverty in Australia in 1999. 73
Grammar and spelling errors:
Line 5, column 170, Rule ID: A_RB_NN[1]
Message: You used an adverb ('sharply') instead an adjective, or a noun ('surge') instead of another adjective.
... were 24.1% of 0 to 14 years in 2000 by a sharply surge in 2050. In addition, more than 60 year...
^^^^^^^^^^^^^^^
Transition Words or Phrases used:
but, moreover, in addition, in contrast, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 12.0 7.0 171% => OK
Auxiliary verbs: 3.0 1.00243902439 299% => Less auxiliary verb wanted.
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 7.0 3.15609756098 222% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 1.0 5.60731707317 18% => OK
Preposition: 51.0 33.7804878049 151% => OK
Nominalization: 3.0 3.97073170732 76% => OK
Performance on vocabulary words:
No of characters: 785.0 965.302439024 81% => OK
No of words: 193.0 196.424390244 98% => OK
Chars per words: 4.06735751295 4.92477711251 83% => OK
Fourth root words length: 3.72725689877 3.73543355544 100% => OK
Word Length SD: 2.21037751198 2.65546596893 83% => OK
Unique words: 82.0 106.607317073 77% => More unique words wanted.
Unique words percentage: 0.424870466321 0.547539520022 78% => More unique words wanted or less content wanted.
syllable_count: 208.8 283.868780488 74% => OK
avg_syllables_per_word: 1.1 1.45097560976 76% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 1.0 4.33902439024 23% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 5.0 3.36585365854 149% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 18.9215404066 43.030603864 44% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 87.2222222222 112.824112599 77% => OK
Words per sentence: 21.4444444444 22.9334400587 94% => OK
Discourse Markers: 6.44444444444 5.23603664747 123% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 1.0 1.69756097561 59% => OK
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 6.0 4.09268292683 147% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.232217963677 0.215688989381 108% => OK
Sentence topic coherence: 0.125452092326 0.103423049105 121% => OK
Sentence topic coherence SD: 0.0472316299771 0.0843802449381 56% => OK
Paragraph topic coherence: 0.18486059225 0.15604864568 118% => OK
Paragraph topic coherence SD: 0.0559598008299 0.0819641961636 68% => OK
Essay readability:
automated_readability_index: 8.5 13.2329268293 64% => Automated_readability_index is low.
flesch_reading_ease: 92.46 61.2550243902 151% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 5.6 10.3012195122 54% => Flesch kincaid grade is low.
coleman_liau_index: 6.33 11.4140731707 55% => Coleman_liau_index is low.
dale_chall_readability_score: 6.4 8.06136585366 79% => OK
difficult_words: 21.0 40.7170731707 52% => More difficult words wanted.
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 10.4 10.9970731707 95% => OK
text_standard: 6.0 11.0658536585 54% => The average readability is low. Need to imporve the language.
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.