The graph below shows the percentage of population in cities since 1970s with projection to 2030.
The line graph illustrates the number of people in urban areas in four specific countries namely: USA, Korean, China and India from 1970 to 2030.
Overall, it is clear that the proportion of population in the USA was the highest throughout the period shown. In addition, the figures for other three countries also increase over 60 years.
In 1970, the figure of population in city in the USA was highest at 70%, while the rate of population in Korean was significantly lower, at 40%. Meanwhile, only 20% of people who accomodated in cities in China and India. In 2000, Korean and America witnessed a gradual rise in its population to approximately 85%. Moreover, the data of people who lived in urban areas in China and India increased to 32% and 50%, respectively.
In 2030, it is predicted that the proportion for the USA and Korea will reach nearly 100% and become the highest compared to other countries. China’s population is expected to rise to just under 60%. In contrast, there is a stability in the figure of India in the same period.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2023-06-04 | dataimielts | 78 | view |
| 2021-10-02 | thanhzjzj | 82 | view |
| 2021-09-15 | adamneyul | 42 | view |
| 2020-05-11 | thiên định | view | |
| 2020-05-11 | thiên định | view |
- The chart below shows the value of one country s exports in various categories during 2015 and 2016 The table shows the percentage change in each category of exports in 2016 compared with 2015 Summarise the information by selecting and reporting the main 78
- Some people think that you can never become fluently in a language unless you have spent time living or working in that country 82
- The graph below shows the percentage of population in cities since 1970s with projection to 2030 61
- The map below gives information about a school in 2004 and the change of the same school in 2010 78
- The graph below shows the percentage of population in cities since 1970s with projection to 2030 61
Transition Words or Phrases used:
also, if, moreover, so, while, in addition, in contrast
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 7.0 7.0 100% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 7.0 6.8 103% => OK
Relative clauses : 4.0 3.15609756098 127% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 37.0 33.7804878049 110% => OK
Nominalization: 8.0 3.97073170732 201% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 869.0 965.302439024 90% => OK
No of words: 182.0 196.424390244 93% => More content wanted.
Chars per words: 4.77472527473 4.92477711251 97% => OK
Fourth root words length: 3.67297393991 3.73543355544 98% => OK
Word Length SD: 2.69085518118 2.65546596893 101% => OK
Unique words: 100.0 106.607317073 94% => More unique words wanted.
Unique words percentage: 0.549450549451 0.547539520022 100% => OK
syllable_count: 269.1 283.868780488 95% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 4.0 4.33902439024 92% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 18.0 22.4926829268 80% => The Avg. Sentence Length is relatively short.
Sentence length SD: 30.2722645337 43.030603864 70% => OK
Chars per sentence: 86.9 112.824112599 77% => OK
Words per sentence: 18.2 22.9334400587 79% => OK
Discourse Markers: 5.5 5.23603664747 105% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 5.0 3.70975609756 135% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 4.0 4.09268292683 98% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.114603173797 0.215688989381 53% => OK
Sentence topic coherence: 0.0438115453608 0.103423049105 42% => OK
Sentence topic coherence SD: 0.0330961141266 0.0843802449381 39% => Sentences are similar to each other.
Paragraph topic coherence: 0.0681031944874 0.15604864568 44% => OK
Paragraph topic coherence SD: 0.023470301339 0.0819641961636 29% => 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: 10.1 13.2329268293 76% => Automated_readability_index is low.
flesch_reading_ease: 61.67 61.2550243902 101% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 9.1 10.3012195122 88% => OK
coleman_liau_index: 10.39 11.4140731707 91% => OK
dale_chall_readability_score: 8.35 8.06136585366 104% => OK
difficult_words: 44.0 40.7170731707 108% => OK
linsear_write_formula: 8.5 11.4329268293 74% => OK
gunning_fog: 9.2 10.9970731707 84% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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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.