Overpopulation in many major urban centers around the world is a major problem. What are the causes of this? How can this problem be solved?
The biggest problem in urban areas around the globe is overpopulation.The major causes of this are industrialization and services or facilities which are easily available in that areas and the probable solution is that government should have to stop allotting land to new industries into cities and provide them a land in rural areas.
The main causes of overpopulation in urban cities is because of more and more companies have their offices there, so all people moved their from their areas to that city to get an employment.Because of most people are living their, so all the emergency services they can get very easily so they also do not want to leave that area.For example, University of London research report states that 70 percent of people in urban centres are from nearby rural areas and they are living their because of more employment opportunity and good services available in nearby.
The Solution of this problem is government should take initiative that they should avoid establishing new industries and company headquarters in major cities, so that population can diverted to villages or in small cities.Law enforcement agencies should add new law for multinational companies that they can only start their new businesses in the cities which are not population centric.They can start a campaign too to spread an awareness regarding overpopulation.Fir instance,a similar initiative in 2009 ,started by China in Beijing resulted a 30 percent decrease in population after 2009.
In conclusion, more employment opportunities and business establishment are the causes of the overpopulation and this problem can be solved if government took steps to divert that population into other areas of their country.
Grammar and spelling errors:
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...reas around the globe is overpopulation.The major causes of this are industrializat...
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... provide them a land in rural areas. The main causes of overpopulation in urban ...
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...areas to that city to get an employment.Because of most people are living their, so all...
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...hey also do not want to leave that area.For example, University of London research ...
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...diverted to villages or in small cities.Law enforcement agencies should add new law...
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...cities which are not population centric.They can start a campaign too to spread an a...
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...d an awareness regarding overpopulation.Fir instance,a similar initiative in 2009 ,...
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...ss regarding overpopulation.Fir instance,a similar initiative in 2009 ,started by ...
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...ir instance,a similar initiative in 2009 ,started by China in Beijing resulted a 3...
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...an be solved if government took steps to divert that population into other areas ...
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Transition Words or Phrases used:
also, if, regarding, so, as to, for example, in conclusion
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 12.0 13.1623246493 91% => OK
Auxiliary verbs: 9.0 7.85571142285 115% => OK
Conjunction : 11.0 10.4138276553 106% => OK
Relative clauses : 11.0 7.30460921844 151% => OK
Pronoun: 26.0 24.0651302605 108% => OK
Preposition: 39.0 41.998997996 93% => OK
Nominalization: 20.0 8.3376753507 240% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1456.0 1615.20841683 90% => OK
No of words: 273.0 315.596192385 87% => More content wanted.
Chars per words: 5.33333333333 5.12529762239 104% => OK
Fourth root words length: 4.06481385082 4.20363070211 97% => OK
Word Length SD: 3.18888821333 2.80592935109 114% => OK
Unique words: 138.0 176.041082164 78% => More unique words wanted.
Unique words percentage: 0.505494505495 0.561755894193 90% => More unique words wanted or less content wanted.
syllable_count: 461.7 506.74238477 91% => OK
avg_syllables_per_word: 1.7 1.60771543086 106% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 5.43587174349 18% => OK
Article: 5.0 2.52805611222 198% => OK
Subordination: 2.0 2.10420841683 95% => OK
Conjunction: 0.0 0.809619238477 0% => OK
Preposition: 2.0 4.76152304609 42% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 4.0 16.0721442886 25% => 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: 68.0 20.2975951904 335% => The Avg. Sentence Length is relatively long.
Sentence length SD: 153.696942065 49.4020404114 311% => The lengths of sentences changed so frequently.
Chars per sentence: 364.0 106.682146367 341% => Less chars_per_sentence wanted.
Words per sentence: 68.25 20.7667163134 329% => Less words per sentence wanted.
Discourse Markers: 14.5 7.06120827912 205% => Less transition words/phrases wanted.
Paragraphs: 4.0 4.38176352705 91% => OK
Language errors: 10.0 5.01903807615 199% => OK
Sentences with positive sentiment : 2.0 8.67935871743 23% => More positive sentences wanted.
Sentences with negative sentiment : 2.0 3.9879759519 50% => More negative sentences wanted.
Sentences with neutral sentiment: 0.0 3.4128256513 0% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.193501777608 0.244688304435 79% => OK
Sentence topic coherence: 0.144094375114 0.084324248473 171% => OK
Sentence topic coherence SD: 0.0759332045026 0.0667982634062 114% => OK
Paragraph topic coherence: 0.144094375114 0.151304729494 95% => OK
Paragraph topic coherence SD: 0.0759332045026 0.056905535591 133% => OK
Essay readability:
automated_readability_index: 37.8 13.0946893788 289% => Automated_readability_index is high.
flesch_reading_ease: -6.0 50.2224549098 -12% => Flesch_reading_ease is low.
smog_index: 17.1 7.44779559118 230% => Smog_index is high.
flesch_kincaid_grade: 31.0 11.3001002004 274% => Flesch kincaid grade is high.
coleman_liau_index: 14.82 12.4159519038 119% => OK
dale_chall_readability_score: 10.94 8.58950901804 127% => OK
difficult_words: 68.0 78.4519038076 87% => OK
linsear_write_formula: 29.0 9.78957915832 296% => Linsear_write_formula is high.
gunning_fog: 29.2 10.1190380762 289% => Gunning_fog is high.
text_standard: 29.0 10.7795591182 269% => The average readability is very high. Good job!
What are above readability scores?
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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.