The graph below gives information about the percentage of the population in four Asian countries living in cities from 1970 to 2020, with predictions for 2030 and 2040.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The line graph illustrates changes of the proportion of the population in four Asian countries living in cities between 1970 and 2020, as well as projected from 2023 to 2040.
Overall, it is clear that Malaysia and Indonesia will rise in an significantly trend and make up a large percentage of the population living in cities in the Asia, while the other countries will increase moderately.
People who come from Malaysia prefer to live in the cities, with the figure increasing dramatically from 30% of total population to 75% between 1970 to 2020, and this is projected to persist reaching to about 85% in 2040. The percentage of the population living in cities in Indonesia was the second high countries in the Asia, which rised significantly from 14% to 50%, as well as the prediction population is account for 62% in 2040.
However, the proportion of the population living in cities in the other countries showed some fluctuation between 1970 and 2040. The percentage of the population living in cities in Philippines increased from 31% to 50% from 1970 to 1990, while decreased in the after 20 years from 50% to 40%, and the prediction of the population increase from 50 % to 55%. Meanwhile, the Thailand is in the same trend, which increased from 19% to 30% from 1970 to 1990, while declined from 29%to 27% between 1990 to 2000, and the prediction will increase from 35% to 45% between 2030 and 2040.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2024-11-07 | hahoaan | 73 | view |
| 2024-10-13 | Giang Tran | 73 | view |
| 2024-10-13 | Giang Tran | 73 | view |
| 2024-10-13 | Giang Tran | 73 | view |
| 2024-10-13 | Giang Tran | 73 | view |
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Grammar and spelling errors:
Line 3, column 63, Rule ID: EN_A_VS_AN
Message: Use 'a' instead of 'an' if the following word doesn't start with a vowel sound, e.g. 'a sentence', 'a university'
Suggestion: a
...hat Malaysia and Indonesia will rise in an significantly trend and make up a large...
^^
Line 3, column 63, Rule ID: A_RB_NN[1]
Message: You used an adverb ('significantly') instead an adjective, or a noun ('trend') instead of another adjective.
...hat Malaysia and Indonesia will rise in an significantly trend and make up a large percentage of the p...
^^^^^^^^^^^^^^^^^^^^^^
Transition Words or Phrases used:
however, if, second, so, well, while, as well as
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 3.0 1.00243902439 299% => Less auxiliary verb wanted.
Conjunction : 8.0 6.8 118% => OK
Relative clauses : 4.0 3.15609756098 127% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 62.0 33.7804878049 184% => OK
Nominalization: 14.0 3.97073170732 353% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1174.0 965.302439024 122% => OK
No of words: 243.0 196.424390244 124% => OK
Chars per words: 4.83127572016 4.92477711251 98% => OK
Fourth root words length: 3.94822203886 3.73543355544 106% => OK
Word Length SD: 2.72827718019 2.65546596893 103% => OK
Unique words: 106.0 106.607317073 99% => OK
Unique words percentage: 0.43621399177 0.547539520022 80% => More unique words wanted or less content wanted.
syllable_count: 324.9 283.868780488 114% => 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: 5.0 4.33902439024 115% => OK
Subordination: 5.0 1.07073170732 467% => Less adverbial clause wanted.
Conjunction: 3.0 0.482926829268 621% => Less conjunction wanted as sentence beginning.
Preposition: 1.0 3.36585365854 30% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 7.0 8.94146341463 78% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 34.0 22.4926829268 151% => The Avg. Sentence Length is relatively long.
Sentence length SD: 33.5492327842 43.030603864 78% => OK
Chars per sentence: 167.714285714 112.824112599 149% => OK
Words per sentence: 34.7142857143 22.9334400587 151% => OK
Discourse Markers: 6.85714285714 5.23603664747 131% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 6.0 3.70975609756 162% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More 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: 0.341294125228 0.215688989381 158% => OK
Sentence topic coherence: 0.190666914874 0.103423049105 184% => OK
Sentence topic coherence SD: 0.0575974117714 0.0843802449381 68% => OK
Paragraph topic coherence: 0.234578462537 0.15604864568 150% => OK
Paragraph topic coherence SD: 0.0700008939807 0.0819641961636 85% => OK
Essay readability:
automated_readability_index: 18.7 13.2329268293 141% => OK
flesch_reading_ease: 62.35 61.2550243902 102% => OK
smog_index: 11.2 6.51609756098 172% => OK
flesch_kincaid_grade: 13.0 10.3012195122 126% => OK
coleman_liau_index: 11.33 11.4140731707 99% => OK
dale_chall_readability_score: 7.6 8.06136585366 94% => OK
difficult_words: 35.0 40.7170731707 86% => OK
linsear_write_formula: 19.5 11.4329268293 171% => OK
gunning_fog: 15.6 10.9970731707 142% => OK
text_standard: 8.0 11.0658536585 72% => 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.