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.
The line chart illustrates the proportion of urban residents in four Asian nations between 1970 and 2020, with projections until 2040.
Overall, the chart shows that after fifty years, the number of people who move to live in cities in these four countries increased sharply and this trend will continue till 2040. Additionally, Malaysia dominates the chart for the vast majority of the period and Indonesia is predicted to take over the Philippines to rank in the top 2.
Regarding the Philippines and Malaysia, the percentage of the population living in cities in the Philippines was a little more than in Malaysia, which was about 32% and 30% respectively. These two countries witnessed a slight fluctuation in their percentages until 30 years later, Malaysia officially overtook the Philippines with approximately 60%. The proportion still arose 20 years after that and is claimed to continually rise till 2030, which will be about 80%. In terms of the Phillippines, although there was a slight decrease, the number quickly increased again and will keep rising to 2040 with about 55%.
Moving on to Thailand and Indonesia, from 1970 to 2000, Thailand was the third-ranked nation that had a large number of residents living in urban regions with about 30%. Also in this period, Indonesia’s percentage was roughly 12% in 1970 and 30% in 2000, standing in the fourth rank. Yet, after 2000, Indonesia and Thailand had swapped their positions in the graph. In the end, Indonesia was standing in the top three and is predicted to overtake the Phillippines and Thailand soon which will be over 60% in 2040. On the contrary, Thailand will turn out to be the nation that has the lowest number of citizens living in urban zones with nearly 50%.
Post date | Users | Rates | Link to Content |
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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 4, column 103, Rule ID: LARGE_NUMBER_OF[1]
Message: Specify a number, remove phrase, or simply use 'many' or 'numerous'
Suggestion: many; numerous
...nd was the third-ranked nation that had a large number of residents living in urban regions with ...
^^^^^^^^^^^^^^^^^
Transition Words or Phrases used:
also, if, regarding, so, still, third, on the contrary
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 12.0 7.0 171% => OK
Auxiliary verbs: 5.0 1.00243902439 499% => Less auxiliary verb wanted.
Conjunction : 12.0 6.8 176% => OK
Relative clauses : 8.0 3.15609756098 253% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 10.0 5.60731707317 178% => Less pronouns wanted
Preposition: 59.0 33.7804878049 175% => OK
Nominalization: 4.0 3.97073170732 101% => OK
Performance on vocabulary words:
No of characters: 1455.0 965.302439024 151% => OK
No of words: 291.0 196.424390244 148% => Less content wanted.
Chars per words: 5.0 4.92477711251 102% => OK
Fourth root words length: 4.13022058845 3.73543355544 111% => OK
Word Length SD: 2.73816106345 2.65546596893 103% => OK
Unique words: 145.0 106.607317073 136% => OK
Unique words percentage: 0.498281786942 0.547539520022 91% => More unique words wanted or less content wanted.
syllable_count: 413.1 283.868780488 146% => 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: 6.0 4.33902439024 138% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 7.0 3.36585365854 208% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 12.0 8.94146341463 134% => OK
Sentence length: 24.0 22.4926829268 107% => OK
Sentence length SD: 28.5331191581 43.030603864 66% => OK
Chars per sentence: 121.25 112.824112599 107% => OK
Words per sentence: 24.25 22.9334400587 106% => OK
Discourse Markers: 4.5 5.23603664747 86% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 1.0 1.69756097561 59% => OK
Sentences with positive sentiment : 6.0 3.70975609756 162% => 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: 0.267168774812 0.215688989381 124% => OK
Sentence topic coherence: 0.0927811801332 0.103423049105 90% => OK
Sentence topic coherence SD: 0.0457502204825 0.0843802449381 54% => OK
Paragraph topic coherence: 0.161655783119 0.15604864568 104% => OK
Paragraph topic coherence SD: 0.0274826358701 0.0819641961636 34% => 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: 14.2 13.2329268293 107% => OK
flesch_reading_ease: 64.04 61.2550243902 105% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 10.3 10.3012195122 100% => OK
coleman_liau_index: 12.02 11.4140731707 105% => OK
dale_chall_readability_score: 7.92 8.06136585366 98% => OK
difficult_words: 57.0 40.7170731707 140% => OK
linsear_write_formula: 15.0 11.4329268293 131% => OK
gunning_fog: 11.6 10.9970731707 105% => OK
text_standard: 15.0 11.0658536585 136% => 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.