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 proportion of residents living in cities in four separated countries. It depicts not only the increase in the number of citizens from 1970 to 2020, but it is also estimated the tendency of population growth in the following decades.
It is obvious that Malaysia at the most time contributes to the highest figures, specifically after 2020. From 1970 to 2000, Indonesia possed the lowest rank of having people living in urban. However, that place has been left for Thailand since 2010. Indonesia has fluctuated the most, becoming 2nd runner-up even though it used to have the smallest amount of city people. Overall, the country with perfectly seems to remain the same is Philippines, with a slight change in only 1990.
Starting with the outstanding growing up, Malaysia has been extremely overstated about its development ability. It is recorded that Malaysia was only 30% at the beginning; nonetheless, it has a considerable thriving. In 2020, this country weighed approximately three-fourths and is projected to reach a very great proportion of urbanites. Malaysian townsman development constantly booms, if there are no policies to help them eliminate this speed, it will lead to enormous bad consequences. Otherwise, there is also shown Indonesia first strongly increased in 2010 although it was the lowest from 1970 to 2000. Locating at the top, Indonesia will face up to a few challenges with a ground-breaking population.
The two countries left here are Philippines and Thailand. Obviously, the figures of the two countries are at an acceptable level. Thailand is the only country stable, just getting a small minority over the years. However, Thailand is predicted to dramatically go up in the next ten years, and reach nearly half in 2040. Compared to the previous years of Thailand, it seems not that much. Besides, the special line here is demonstrated for the city-dweller growth of Philippines, which is the one and only country that has the longest declining slope when focusing on the 1990 to 2010 period. Generally, Phillipines has the steady growth in town-dweller from the past to the predicted future.
To recapitulate, the whole four countries here tend to increase with the highest rate belonging to Malaysia, and in contrast, it ranks for Thailand. That is to say, urbanites in all four nations will boom in the near future.
| 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 |
- The picture below shows a hot balloon works The picture below shows a hot balloon works Summarize the information by selecting and reporting the main features 78
- In many countries around the world rural people are moving to cities so the population in the countryside is decreasing Do you think this is a positive or a negative development 73
- 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 comparis 61
- The chart below shows the number of households in the US by their annual income in 2007 2011 and 2015 Summarise the information by selecting and reporting the main features and make comparisons where relevant Write at least 150 words 78
- In many countries around the world rural people are moving to cities so the population in the countryside is decreasing Do you think this is a positive or a negative development 11
Transition Words or Phrases used:
also, besides, but, first, however, if, nonetheless, so, well, in contrast, that is to say
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 18.0 7.0 257% => Less to be verbs wanted.
Auxiliary verbs: 3.0 1.00243902439 299% => Less auxiliary verb wanted.
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 8.0 3.15609756098 253% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 20.0 5.60731707317 357% => Less pronouns wanted
Preposition: 65.0 33.7804878049 192% => OK
Nominalization: 6.0 3.97073170732 151% => OK
Performance on vocabulary words:
No of characters: 2006.0 965.302439024 208% => Less number of characters wanted.
No of words: 388.0 196.424390244 198% => Less content wanted.
Chars per words: 5.17010309278 4.92477711251 105% => OK
Fourth root words length: 4.43821085614 3.73543355544 119% => OK
Word Length SD: 2.9480300323 2.65546596893 111% => OK
Unique words: 213.0 106.607317073 200% => OK
Unique words percentage: 0.548969072165 0.547539520022 100% => OK
syllable_count: 594.9 283.868780488 210% => syllable counts are too long.
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 10.0 1.53170731707 653% => Less pronouns wanted as sentence beginning.
Article: 6.0 4.33902439024 138% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 3.0 0.482926829268 621% => Less conjunction wanted as sentence beginning.
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 22.0 8.94146341463 246% => Too many sentences.
Sentence length: 17.0 22.4926829268 76% => The Avg. Sentence Length is relatively short.
Sentence length SD: 34.7484466625 43.030603864 81% => OK
Chars per sentence: 91.1818181818 112.824112599 81% => OK
Words per sentence: 17.6363636364 22.9334400587 77% => OK
Discourse Markers: 4.09090909091 5.23603664747 78% => OK
Paragraphs: 5.0 3.83414634146 130% => Less paragraphs wanted.
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 12.0 3.70975609756 323% => Less positive sentences wanted.
Sentences with negative sentiment : 2.0 1.13902439024 176% => OK
Sentences with neutral sentiment: 8.0 4.09268292683 195% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.188649775793 0.215688989381 87% => OK
Sentence topic coherence: 0.0502139195907 0.103423049105 49% => OK
Sentence topic coherence SD: 0.0347829370113 0.0843802449381 41% => Sentences are similar to each other.
Paragraph topic coherence: 0.110691667331 0.15604864568 71% => OK
Paragraph topic coherence SD: 0.0342091444849 0.0819641961636 42% => 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: 11.7 13.2329268293 88% => Automated_readability_index is low.
flesch_reading_ease: 62.68 61.2550243902 102% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 8.7 10.3012195122 84% => OK
coleman_liau_index: 12.41 11.4140731707 109% => OK
dale_chall_readability_score: 8.43 8.06136585366 105% => OK
difficult_words: 97.0 40.7170731707 238% => Less difficult words wanted.
linsear_write_formula: 8.5 11.4329268293 74% => OK
gunning_fog: 8.8 10.9970731707 80% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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Maximum four paragraphs wanted.
Rates: 61.797752809 out of 100
Scores by essay e-grader: 5.5 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.