The chart below shows the movement of people from rural to urban areas in three countries and predictions for future years.
The line graph depicts the number of people migrating from the countryside to cities in three different countries over the period from 2000 to 2025, including future predictions.
Overall, it can be seen that the shift from rural communities towards urban metropolitan areas experience an upward trend.
At the begining of the period, all three countries see similar numbers of urban migrants. Russia starts with the most migrants (around 15 million) and over the period sees significant increases, particularly between 2010 and 2015 (around 42 to 70 million). This number of immigrants is predicted to rise until reaching approximately 86 million by 2025. Similarly, Iran after a slow start between 2000 and 2005 witnesses a sharp increase in urban migration, and after 2015 is predicte to see an even more dramatic rise, surpassing Russia’s figures in 2020 and peakking at around 95 million by 2025.
It is worth noticing that Indonesia undergoes the same trend but on a smaller scale. Despite going steadily between 2000 and 2020, its growth is far less staggering than the other two countries (10 to 30 million). Furthermore, after 2020, the figure of Indonesia immigrants is projected to level off at around 30 million.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2023-05-30 | preetsidhu29500@gmail.com | 67 | view |
| 2022-06-18 | nttn24905_vkdekutsuki | 78 | view |
| 2021-07-08 | maiphuong0610 | 73 | view |
| 2021-07-08 | maiphuong0610 | 73 | view |
| 2021-06-02 | Ismoilkhon | 73 | view |
- The chart below shows the movement of people from rural to urban areas in three countries and predictions for future years 92
- The graph shows how money was spent on different forms of entertainment over a five year period Summarize the information by selecting and reporting the main features and make comparisons where relevant You should write at least 150 words 76
- The graph below shows the average number of UK commuters travelling each day by car bus or train between 1970 and 2030 67
- The pie chart below shows the frequency of U S Adults online purchasing habits in 2015 while the bar chart shows a further classification denoting online purchasing preferences 68
- The two maps below show the Paradise island in the past and in the present 84
Transition Words or Phrases used:
furthermore, however, if, similarly, so, while, to sum up
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 7.0 86% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 1.0 3.15609756098 32% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 40.0 33.7804878049 118% => OK
Nominalization: 2.0 3.97073170732 50% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1075.0 965.302439024 111% => OK
No of words: 209.0 196.424390244 106% => OK
Chars per words: 5.14354066986 4.92477711251 104% => OK
Fourth root words length: 3.80221413058 3.73543355544 102% => OK
Word Length SD: 2.70891158295 2.65546596893 102% => OK
Unique words: 123.0 106.607317073 115% => OK
Unique words percentage: 0.588516746411 0.547539520022 107% => OK
syllable_count: 296.1 283.868780488 104% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 1.53170731707 196% => OK
Article: 1.0 4.33902439024 23% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 1.0 3.36585365854 30% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 23.0 22.4926829268 102% => OK
Sentence length SD: 69.9742457032 43.030603864 163% => OK
Chars per sentence: 119.444444444 112.824112599 106% => OK
Words per sentence: 23.2222222222 22.9334400587 101% => OK
Discourse Markers: 6.33333333333 5.23603664747 121% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 5.0 4.09268292683 122% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.214452636166 0.215688989381 99% => OK
Sentence topic coherence: 0.0941026424971 0.103423049105 91% => OK
Sentence topic coherence SD: 0.0811015930286 0.0843802449381 96% => OK
Paragraph topic coherence: 0.180943260458 0.15604864568 116% => OK
Paragraph topic coherence SD: 0.11028476172 0.0819641961636 135% => OK
Essay readability:
automated_readability_index: 14.4 13.2329268293 109% => OK
flesch_reading_ease: 65.05 61.2550243902 106% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.9 10.3012195122 96% => OK
coleman_liau_index: 12.83 11.4140731707 112% => OK
dale_chall_readability_score: 8.18 8.06136585366 101% => OK
difficult_words: 45.0 40.7170731707 111% => OK
linsear_write_formula: 14.0 11.4329268293 122% => OK
gunning_fog: 11.2 10.9970731707 102% => OK
text_standard: 14.0 11.0658536585 127% => OK
What are above readability scores?
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Rates: 84.2696629213 out of 100
Scores by essay e-grader: 7.5 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.