The chart below gives information about the percentage of the population living in urban areas in different parts of the world.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The bar graph depicts the world population living in cities (towns) in 6 counties of the world in 3 time periods, with future prediction. Overall, it have been estimated, from middle twenties century to 2050 population will roughly double.
According to graph, the most residents of metropolitans lived in North America in 1950, 64 percent, whereas, Oceania was in the second with 62 percent. Since, 2007 these trends have seen an increase, rising to 79 percent and 71 percent, respectively. Meanwhile, in contrast to Oceania, 78 percent of European and 76 percent of Latin American/Caribbean residents lived in big cities in 2007. Furthermore, there was a prediction that 90 percent of Americans will resident in megalopolises, with tiny proportion more than Europe and Latin America/Caribbean.
On the other hand, in 1950 15 percent of Africans and 17 percent of Asians population inhabit in metropolitan area. Coming to 2007 these trends have soared within these countries to 37 percent and 41 percent, respectively. In addition, there was an estimation that the urban population will surge 62 percent and 66 percent, in these countries, respectively; however, despite of changes Africa and Asia remain less percentages rather than other countries.
In summary, in a century time period the given countries population living in cities will soar about 2 times; nonetheless, most North Americans will live in megalopolises.
Post date | Users | Rates | Link to Content |
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2021-08-05 | gurleen kaurr | 73 | view |
2020-10-05 | prabin99 | view | |
2020-10-02 | ismatjahan | 67 | view |
2020-10-02 | ismatjahan | 67 | view |
2020-10-02 | ismatjahan | 56 | view |
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Grammar and spelling errors:
Line 1, column 149, Rule ID: IT_VBZ[1]
Message: Did you mean 'has'?
Suggestion: has
...ds, with future prediction. Overall, it have been estimated, from middle twenties ce...
^^^^
Line 1, column 182, Rule ID: POSSESIVE_APOSTROPHE[1]
Message: Possible typo: apostrophe is missing. Did you mean 'twenties'' or 'twenty's'?
Suggestion: twenties'; twenty's
...ll, it have been estimated, from middle twenties century to 2050 population will roughly...
^^^^^^^^
Line 3, column 410, Rule ID: FEWER_LESS[2]
Message: Did you mean 'fewer'? The noun percentages is countable.
Suggestion: fewer
...spite of changes Africa and Asia remain less percentages rather than other countries...
^^^^
Transition Words or Phrases used:
furthermore, however, nonetheless, second, so, whereas, while, in addition, in contrast, in summary, in contrast to, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 4.0 7.0 57% => More to be verbs wanted.
Auxiliary verbs: 5.0 1.00243902439 499% => Less auxiliary verb wanted.
Conjunction : 7.0 6.8 103% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 7.0 5.60731707317 125% => Less pronouns wanted
Preposition: 40.0 33.7804878049 118% => OK
Nominalization: 10.0 3.97073170732 252% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1204.0 965.302439024 125% => OK
No of words: 224.0 196.424390244 114% => OK
Chars per words: 5.375 4.92477711251 109% => OK
Fourth root words length: 3.86867284054 3.73543355544 104% => OK
Word Length SD: 3.18633682258 2.65546596893 120% => OK
Unique words: 132.0 106.607317073 124% => OK
Unique words percentage: 0.589285714286 0.547539520022 108% => OK
syllable_count: 360.0 283.868780488 127% => OK
avg_syllables_per_word: 1.6 1.45097560976 110% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 2.0 4.33902439024 46% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 12.0 3.36585365854 357% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 38.6962530486 43.030603864 90% => OK
Chars per sentence: 120.4 112.824112599 107% => OK
Words per sentence: 22.4 22.9334400587 98% => OK
Discourse Markers: 13.4 5.23603664747 256% => Less transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 3.0 1.69756097561 177% => 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: 6.0 4.09268292683 147% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.0815998782055 0.215688989381 38% => OK
Sentence topic coherence: 0.0391833755438 0.103423049105 38% => OK
Sentence topic coherence SD: 0.0370047812277 0.0843802449381 44% => Sentences are similar to each other.
Paragraph topic coherence: 0.0656634949466 0.15604864568 42% => OK
Paragraph topic coherence SD: 0.0323728315913 0.0819641961636 39% => 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: 15.1 13.2329268293 114% => OK
flesch_reading_ease: 49.15 61.2550243902 80% => OK
smog_index: 11.2 6.51609756098 172% => OK
flesch_kincaid_grade: 11.9 10.3012195122 116% => OK
coleman_liau_index: 14.22 11.4140731707 125% => OK
dale_chall_readability_score: 9.24 8.06136585366 115% => OK
difficult_words: 64.0 40.7170731707 157% => OK
linsear_write_formula: 11.5 11.4329268293 101% => OK
gunning_fog: 10.8 10.9970731707 98% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?
---------------------
Rates: 78.6516853933 out of 100
Scores by essay e-grader: 7.0 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.