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 graph illustrates the percentage of urbanization in four different Asian countries from 1970 to 2020, as well as predicted urbanization rates for the years 2030 and 2040. From the graph, we can see that THE Philippines had the highest urbanization rate in 1970, with over 30% of the population residing in cities but this percentage rise slowly only reaching about 50% by 2020 and is predicted to get slightly over 55% by 2040. ON the other hand when we look at Malaysia, they experienced a significant urbanization, with an increase of urban populations from 30% in 1970 to almost 75% in 2020 and predicted to get to over 80% in the next 20 years. On the other hand, Indonesia started with a relatively low urbanization rate in 1970, with less than 15% of the population living in cities. However, Indonesia’s urbanization rate increased rapidly over the past few decades, reaching almost 50% by 2020. The predicted urbanization rates for China are also the highest among the four countries, with an estimated 55% of the population living in cities by 2030 and 60% by 2040. In contrast to the Malaysia and Indonesia, Thailand’s urbanization rate remained relatively low like Philippines, with only around 20% of the population residing in cities in 1970. Although the percentage has risen slightly over the years, India’s urbanization rate remains the lowest among the four countries at 30% urbanization at 2020 and a predicted rate of around 45% by 2040. OVERALL, the graph provides a clear visualization of the differing urbanization rates in Malaysia to Philippines, Thailand and Indonesia. While Malaysia experienced A significant urbanization, Indonesia’s urbanization rate is rapidly increasing and both Philippines and Thailand still has a long way to get to Malaysia’s urbanization level .
| 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 1, column 1801, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
... to get to Malaysia’s urbanization level .
^^
Transition Words or Phrases used:
also, but, however, if, look, so, still, well, while, in contrast, as well as, in contrast to, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 3.0 7.0 43% => More to be verbs wanted.
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 10.0 6.8 147% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 62.0 33.7804878049 184% => OK
Nominalization: 19.0 3.97073170732 479% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1520.0 965.302439024 157% => OK
No of words: 292.0 196.424390244 149% => Less content wanted.
Chars per words: 5.20547945205 4.92477711251 106% => OK
Fourth root words length: 4.13376432452 3.73543355544 111% => OK
Word Length SD: 3.20125602905 2.65546596893 121% => OK
Unique words: 135.0 106.607317073 127% => OK
Unique words percentage: 0.462328767123 0.547539520022 84% => More unique words wanted or less content wanted.
syllable_count: 457.2 283.868780488 161% => OK
avg_syllables_per_word: 1.6 1.45097560976 110% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 3.0 1.07073170732 280% => Less adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 9.0 3.36585365854 267% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 29.0 22.4926829268 129% => The Avg. Sentence Length is relatively long.
Sentence length SD: 40.6375442171 43.030603864 94% => OK
Chars per sentence: 152.0 112.824112599 135% => OK
Words per sentence: 29.2 22.9334400587 127% => OK
Discourse Markers: 11.2 5.23603664747 214% => Less transition words/phrases wanted.
Paragraphs: 1.0 3.83414634146 26% => More paragraphs wanted.
Language errors: 1.0 1.69756097561 59% => OK
Sentences with positive sentiment : 8.0 3.70975609756 216% => Less positive sentences wanted.
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
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: 0.235341860522 0.215688989381 109% => OK
Sentence topic coherence: 0.125122274172 0.103423049105 121% => OK
Sentence topic coherence SD: 0.0958927653226 0.0843802449381 114% => OK
Paragraph topic coherence: 0.235341860522 0.15604864568 151% => OK
Paragraph topic coherence SD: 0.0 0.0819641961636 0% => 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: 17.7 13.2329268293 134% => OK
flesch_reading_ease: 42.04 61.2550243902 69% => OK
smog_index: 13.0 6.51609756098 200% => OK
flesch_kincaid_grade: 14.6 10.3012195122 142% => OK
coleman_liau_index: 13.53 11.4140731707 119% => OK
dale_chall_readability_score: 7.89 8.06136585366 98% => OK
difficult_words: 52.0 40.7170731707 128% => OK
linsear_write_formula: 20.0 11.4329268293 175% => OK
gunning_fog: 13.6 10.9970731707 124% => OK
text_standard: 14.0 11.0658536585 127% => OK
What are above readability scores?
---------------------
Minimum two paragraphs wanted.
Rates: 56.1797752809 out of 100
Scores by essay e-grader: 5.0 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.