The chart below shows the movement of people from rural to urban areas in three countries and predictions for future years

Essay topics:

The chart below shows the movement of people from rural to urban areas in three countries and predictions for future years.

The information in regard to the movement of masses from rural to cities in different three nations as well as predictions for upcoming years.

Now,looking at the details,in year 2000,the value of movement of individuals from Russia stood at nine millions which was same in next five years.Meanwhile,there was significant increase in movement of folks in 2010 which accounted to thirty five millions.Whereas,movement of people from indonesia was ten millions in beginning of year that was allmost similar in next ten years which came to twenty million in third year.Whilst,Iran was observed with eleven million people in first year which upsurge In next ten years with forty million movements.

Probing ahead,with remaining information.The movement of folks was twenty five millions in 2015 and stood at this position till next five years.Additionally,it is estimated that movements of folks skyrocketed for Russia will be ninety eight millions for the upcoming years.In regard to this,these movements were twenty five millions in 2015 and showed little incline with thirty millions refugees in year 2020.Contrastly,it is anticipated that This movement from indonesia will be thirty millions in future years.Noticeably,Iran was noticed with seventy millions movements in 2015 that was increase with seventy eight millions in 2020.Lastly,it is estimated that these movements for Iran will be eighty nine millions in upcoming years.

Overall,individuals from Russia observed with more movements from rural to urban areas.

Votes
Average: 6.7 (1 vote)
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Comments

Grammar and spelling errors:
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Suggestion: , looking
...s predictions for upcoming years. Now,looking at the details,in year 2000,the value o...
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Line 3, column 27, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...ing years. Now,looking at the details,in year 2000,the value of movement of indi...
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...lions which was same in next five years.Meanwhile,there was significant increase in movem...
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Line 3, column 156, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...ch was same in next five years.Meanwhile,there was significant increase in movement of...
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Line 3, column 257, Rule ID: SENTENCE_WHITESPACE
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Suggestion: Whereas
...which accounted to thirty five millions.Whereas,movement of people from indonesia was t...
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Line 3, column 257, Rule ID: SENTENCE_FRAGMENT[1]
Message: “Whereas” at the beginning of a sentence requires a 2nd clause. Maybe a comma, question or exclamation mark is missing, or the sentence is incomplete and should be joined with the following sentence.
...which accounted to thirty five millions.Whereas,movement of people from indonesia was t...
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Line 3, column 264, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: , movement
...ccounted to thirty five millions.Whereas,movement of people from indonesia was ten millio...
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Line 3, column 315, Rule ID: WHITESPACE_RULE
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...f people from indonesia was ten millions in beginning of year that was allmost si...
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Suggestion: Whilst
...ch came to twenty million in third year.Whilst,Iran was observed with eleven million p...
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Line 3, column 430, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: , Iran
...e to twenty million in third year.Whilst,Iran was observed with eleven million people...
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...orty million movements. Probing ahead,with remaining information.The movement of f...
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...robing ahead,with remaining information.The movement of folks was twenty five milli...
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Line 5, column 145, Rule ID: SENTENCE_WHITESPACE
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Suggestion: Additionally
...d at this position till next five years.Additionally,it is estimated that movements of folks...
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Line 5, column 157, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: , it
...sition till next five years.Additionally,it is estimated that movements of folks sk...
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Line 5, column 209, Rule ID: WHITESPACE_RULE
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Suggestion:
...ated that movements of folks skyrocketed for Russia will be ninety eight millions...
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Line 5, column 230, Rule ID: EN_COMPOUNDS
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Suggestion: ninety-eight
...f folks skyrocketed for Russia will be ninety eight millions for the upcoming years.In rega...
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Suggestion: In
...y eight millions for the upcoming years.In regard to this,these movements were twe...
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...for the upcoming years.In regard to this,these movements were twenty five millions in ...
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Suggestion: Contrastly
...h thirty millions refugees in year 2020.Contrastly,it is anticipated that This movement f...
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Line 5, column 422, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...illions refugees in year 2020.Contrastly,it is anticipated that This movement from...
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Line 5, column 425, Rule ID: WHITESPACE_RULE
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...ions refugees in year 2020.Contrastly,it is anticipated that This movement from i...
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Line 5, column 516, Rule ID: SENTENCE_WHITESPACE
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Suggestion: Noticeably
...will be thirty millions in future years.Noticeably,Iran was noticed with seventy millions ...
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Line 5, column 526, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: , Iran
...irty millions in future years.Noticeably,Iran was noticed with seventy millions movem...
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Line 5, column 607, Rule ID: EN_COMPOUNDS
Message: This word is normally spelled with hyphen.
Suggestion: seventy-eight
...ovements in 2015 that was increase with seventy eight millions in 2020.Lastly,it is estimated...
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...ase with seventy eight millions in 2020.Lastly,it is estimated that these movements fo...
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...th seventy eight millions in 2020.Lastly,it is estimated that these movements for I...
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Line 5, column 699, Rule ID: EN_COMPOUNDS
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Suggestion: eighty-nine
...d that these movements for Iran will be eighty nine millions in upcoming years. Overall,...
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Line 7, column 8, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: , individuals
...e millions in upcoming years. Overall,individuals from Russia observed with more movement...
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Transition Words or Phrases used:
first, if, lastly, look, third, well, whereas, while, as well as, in regard to

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments

Performance on Part of Speech:
To be verbs : 15.0 7.0 214% => Less to be verbs wanted.
Auxiliary verbs: 3.0 1.00243902439 299% => Less auxiliary verb wanted.
Conjunction : 2.0 6.8 29% => More conjunction wanted.
Relative clauses : 9.0 3.15609756098 285% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 13.0 5.60731707317 232% => Less pronouns wanted
Preposition: 48.0 33.7804878049 142% => 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: 1301.0 965.302439024 135% => OK
No of words: 228.0 196.424390244 116% => OK
Chars per words: 5.70614035088 4.92477711251 116% => OK
Fourth root words length: 3.88582923847 3.73543355544 104% => OK
Word Length SD: 3.69543767615 2.65546596893 139% => OK
Unique words: 103.0 106.607317073 97% => OK
Unique words percentage: 0.451754385965 0.547539520022 83% => More unique words wanted or less content wanted.
syllable_count: 377.1 283.868780488 133% => OK
avg_syllables_per_word: 1.7 1.45097560976 117% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 4.0 1.53170731707 261% => Less pronouns wanted as sentence beginning.
Article: 3.0 4.33902439024 69% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 3.0 3.36585365854 89% => OK

Performance on sentences:
How many sentences: 4.0 8.94146341463 45% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 57.0 22.4926829268 253% => The Avg. Sentence Length is relatively long.
Sentence length SD: 273.330386163 43.030603864 635% => The lengths of sentences changed so frequently.
Chars per sentence: 325.25 112.824112599 288% => Less chars_per_sentence wanted.
Words per sentence: 57.0 22.9334400587 249% => Less words per sentence wanted.
Discourse Markers: 19.5 5.23603664747 372% => Less transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 28.0 1.69756097561 1649% => Less language errors wanted.
Sentences with positive sentiment : 3.0 3.70975609756 81% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
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: 0.221839141296 0.215688989381 103% => OK
Sentence topic coherence: 0.180367722406 0.103423049105 174% => OK
Sentence topic coherence SD: 0.0555183120099 0.0843802449381 66% => OK
Paragraph topic coherence: 0.180367722406 0.15604864568 116% => OK
Paragraph topic coherence SD: 0.0555183120099 0.0819641961636 68% => OK

Essay readability:
automated_readability_index: 34.0 13.2329268293 257% => Automated_readability_index is high.
flesch_reading_ease: 5.16 61.2550243902 8% => Flesch_reading_ease is low.
smog_index: 14.6 6.51609756098 224% => Smog_index is high.
flesch_kincaid_grade: 26.7 10.3012195122 259% => Flesch kincaid grade is high.
coleman_liau_index: 16.73 11.4140731707 147% => OK
dale_chall_readability_score: 9.93 8.06136585366 123% => OK
difficult_words: 50.0 40.7170731707 123% => OK
linsear_write_formula: 29.0 11.4329268293 254% => Linsear_write_formula is high.
gunning_fog: 24.8 10.9970731707 226% => Gunning_fog is high.
text_standard: 29.0 11.0658536585 262% => The average readability is very high. Good job!
What are above readability scores?

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Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 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.