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 the changes in the proportion of city dwellers in four south-eastern nationalities over a period of 50 years, with forecasts for 2030 and 2040.
Overall, it can be clearly seen from the graph that there is an upward trend with people moving to cities in four Asian countries. Furthermore, starting from the second place, the proportion of people living in cities in Malaysia is predicted to occupy the first position.
In 1970, Philippines was the country with the highest proportion of city dwellers, at approximately 32%, followed by Malaysia with the data for city people at around 30%. With a modest figure, the proportion of city Thai and Indonesians starting at just under 20% and 13% each.
Between 1990 and 2040, the proportion of city Malaysians experienced a swift rise to 45% in 1990, which overtook that of city Filipinos, and then kept rose dramatically by 40% with predictions to 2040. Likewise, the proportion of city dwellers in Indonesia saw a significant rise to 53%, and is expected to go up to 60% in 2040. On the other hand, in Philippines and Thailand, despite a slight drop to 40% in 2010 and 28% in 2000, in turn, the figure for city dwellers in these two countries recovered to 45% and 33% in 2020, respectively, and then keep going up until 2040.
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 |
- The graph below shows the production of three forest industry products in a European country namely timber pulp and paper from 1980 to 2000 73
- The chart below gives information about how families in one country spent their weekly income in 1968 and in 2018 Summarise the information by selecting and reporting the main features and make comparisons where relevant 73
- The graph below shows the number of shops that closed and the number of new shops that opened in one country between 2011 and 2018 Summarise the information by selecting an reporting the main features and make comparisons where relavant 78
- The graph below shows the number of shops that closed and the number of new shops that opened in one country between 2011 and 2018 Summarise the information by selecting an reporting the main features and make comparisons where relavant
- The graph below shows the number of shops that closed and the number of new shops that opened in one country between 2011 and 2018
Transition Words or Phrases used:
first, furthermore, if, likewise, second, so, then, well, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 10.0 6.8 147% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 4.0 5.60731707317 71% => OK
Preposition: 54.0 33.7804878049 160% => OK
Nominalization: 7.0 3.97073170732 176% => OK
Performance on vocabulary words:
No of characters: 1086.0 965.302439024 113% => OK
No of words: 225.0 196.424390244 115% => OK
Chars per words: 4.82666666667 4.92477711251 98% => OK
Fourth root words length: 3.87298334621 3.73543355544 104% => OK
Word Length SD: 2.84606204005 2.65546596893 107% => OK
Unique words: 125.0 106.607317073 117% => OK
Unique words percentage: 0.555555555556 0.547539520022 101% => OK
syllable_count: 306.9 283.868780488 108% => 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: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 3.0 0.482926829268 621% => Less conjunction wanted as sentence beginning.
Preposition: 9.0 3.36585365854 267% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 28.0 22.4926829268 124% => The Avg. Sentence Length is relatively long.
Sentence length SD: 42.468922461 43.030603864 99% => OK
Chars per sentence: 135.75 112.824112599 120% => OK
Words per sentence: 28.125 22.9334400587 123% => OK
Discourse Markers: 9.375 5.23603664747 179% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 2.0 1.13902439024 176% => OK
Sentences with neutral sentiment: 2.0 4.09268292683 49% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.244810386798 0.215688989381 114% => OK
Sentence topic coherence: 0.111327497558 0.103423049105 108% => OK
Sentence topic coherence SD: 0.0413816899324 0.0843802449381 49% => Sentences are similar to each other.
Paragraph topic coherence: 0.153146234495 0.15604864568 98% => OK
Paragraph topic coherence SD: 0.0222974979727 0.0819641961636 27% => 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: 15.4 13.2329268293 116% => OK
flesch_reading_ease: 59.98 61.2550243902 98% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 11.8 10.3012195122 115% => OK
coleman_liau_index: 11.03 11.4140731707 97% => OK
dale_chall_readability_score: 8.11 8.06136585366 101% => OK
difficult_words: 44.0 40.7170731707 108% => OK
linsear_write_formula: 13.5 11.4329268293 118% => OK
gunning_fog: 13.2 10.9970731707 120% => OK
text_standard: 14.0 11.0658536585 127% => OK
What are above readability scores?
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Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 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.