The charts 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. Summarize the information by selecting and reporting the main features , and make comparisons where relevant .
presented is the line graph outlining the proportion of the urban residents in four countries including philippines, Malysia, thailand and indonesia between 1970 to 2040.
Overall, the general trend in population living in cities is to increase over the time period presented. Further, in 2040, the data on people who live in malaysia's urban area will top the chart whereas this one in thailand will rank last.
In 1970, the figure for population in philippines's city was just over 30%, nearly doubled than that in indonesia. Then over the following 20 years, there is a boom in the statistic of all 4 countries. From 1990 to 2010, regarding to malaysia and indonesia's urban population, both of them witnessed a significant climb. By contrast, the proportion of philippines underwent a slight decrease and this figure for thailand was remained relatively stable at 30%.
Looking at the graph, according to current predictions, there will be a similar trend in 4 cities to raise remarkably. Particularly, an upsurge was recoreded in the percentage of urban population in malaysia, averaging nearly 90% and it is expected to be the highest position. Besides, indonesia's population will increase by 20% as well as the information in thailand that is predicted to account for nearly 50%. Moreover, the data on philippines will be constituted more than 60% which will be 10% smaller than that in indonesia.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2024-06-01 | celine ayoub | 78 | view |
| 2024-03-16 | minhnhat2002 | 67 | view |
| 2024-03-06 | MinyiChu | 67 | view |
| 2024-02-02 | annaalysia007 | 84 | view |
| 2024-01-13 | phamuyen1210 | 73 | view |
- The graph below fives the information about the percentage of population in four asian countries living in cities from 1970 to 2020 with predictions for 2030 and 2040 73
- The charts 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 Summarize the information by selecting and reporting the main features and make compari 73
Grammar and spelling errors:
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...nd and indonesia between 1970 to 2040. Overall, the general trend in population...
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...s this one in thailand will rank last. In 1970, the figure for population in ph...
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...was remained relatively stable at 30%. Looking at the graph, according to curre...
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Transition Words or Phrases used:
besides, if, look, moreover, regarding, then, well, whereas, as well as
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 12.0 7.0 171% => OK
Auxiliary verbs: 6.0 1.00243902439 599% => Less auxiliary verb wanted.
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 5.0 3.15609756098 158% => OK
Pronoun: 7.0 5.60731707317 125% => Less pronouns wanted
Preposition: 40.0 33.7804878049 118% => OK
Nominalization: 9.0 3.97073170732 227% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1176.0 965.302439024 122% => OK
No of words: 229.0 196.424390244 117% => OK
Chars per words: 5.13537117904 4.92477711251 104% => OK
Fourth root words length: 3.89008302616 3.73543355544 104% => OK
Word Length SD: 2.96873868087 2.65546596893 112% => OK
Unique words: 134.0 106.607317073 126% => OK
Unique words percentage: 0.585152838428 0.547539520022 107% => OK
syllable_count: 354.6 283.868780488 125% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 6.0 4.33902439024 138% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 11.0 8.94146341463 123% => OK
Sentence length: 20.0 22.4926829268 89% => OK
Sentence length SD: 22.662817693 43.030603864 53% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 106.909090909 112.824112599 95% => OK
Words per sentence: 20.8181818182 22.9334400587 91% => OK
Discourse Markers: 6.45454545455 5.23603664747 123% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 5.0 1.69756097561 295% => Less language errors wanted.
Sentences with positive sentiment : 5.0 3.70975609756 135% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
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: 0.149258028182 0.215688989381 69% => OK
Sentence topic coherence: 0.057464299882 0.103423049105 56% => OK
Sentence topic coherence SD: 0.0453257490951 0.0843802449381 54% => OK
Paragraph topic coherence: 0.0912747776038 0.15604864568 58% => OK
Paragraph topic coherence SD: 0.0118474934382 0.0819641961636 14% => 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: 13.2 13.2329268293 100% => OK
flesch_reading_ease: 59.64 61.2550243902 97% => OK
smog_index: 11.2 6.51609756098 172% => OK
flesch_kincaid_grade: 9.9 10.3012195122 96% => OK
coleman_liau_index: 12.53 11.4140731707 110% => OK
dale_chall_readability_score: 8.77 8.06136585366 109% => OK
difficult_words: 60.0 40.7170731707 147% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 10.0 10.9970731707 91% => OK
text_standard: 10.0 11.0658536585 90% => 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.