The line graph illustrates the proportion of the population living in urban areas in four different Asian countries from 1970 to 2030, with predicted figures until 2040.
Overall, what stands out from the line graph is that all countries has witnessed a dramatic increase in their urban populations and is estimated to continually surge to the end of the period, with Malaysia predicted to experience the greatest growth.
In 1970, the Philippines and Malaysia had the highest proportions of urban population, standing at around 32% and 30% respectively. The number of urban residents in both countries then experienced a moderate increase, reaching approximately 48% in the Philippines, which was surpassed by Malaysia at 46% in 1990. From 2000 onwards, the figure for Malaysia has continued to increase dramatically and is projected to peak at over 85% in 2040, while the figure for the Philippines fluctuated before its estimation to grow to around 55% by the end of the period.
Regarding to Thailand and Indonesia, Thailand’s urban population comprised just two-thirds of the populations of the two countries mentioned earlier, while in Indonesia, the figure stood just below after Thailand’s at 13% in 1970. Over thirty years, the proportion of people living in cities in both countries experienced a gradual growth, reaching the same level of just below 30% in 2000. The population is then predicted to rise to around 62% in Indonesia and approximately 48% in Thailand by 2040.
- The plan below shows the village of Pebbleton 20 years ago and now 78
- Most university graduates earn more money than less well educated people Some people argue that this means they should pay the full cost of their education To what extent do you agree or disagree 56
- The graph below shows the amount of electricity produced from different energy sources to supply the city of New York between 1980 and 2000 56
- The graph below gives information from Annual Energy Outlook 2008 about consumption of energy in the USA since 1980 with projection until 2030.Summarise the information by selecting and reporting the main features, and make comparisons where relevant. 78
- The bar chart below shows the passenger kilometres traveled by different means of transport in the UK in 1990 and 2000 73
Transition Words or Phrases used:
if, regarding, then, third, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 59.0 33.7804878049 175% => 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: 1255.0 965.302439024 130% => OK
No of words: 239.0 196.424390244 122% => OK
Chars per words: 5.2510460251 4.92477711251 107% => OK
Fourth root words length: 3.93187294222 3.73543355544 105% => OK
Word Length SD: 3.04408761775 2.65546596893 115% => OK
Unique words: 123.0 106.607317073 115% => OK
Unique words percentage: 0.514644351464 0.547539520022 94% => More unique words wanted or less content wanted.
syllable_count: 366.3 283.868780488 129% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 7.0 4.33902439024 161% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 29.0 22.4926829268 129% => The Avg. Sentence Length is relatively long.
Sentence length SD: 49.6531721041 43.030603864 115% => OK
Chars per sentence: 156.875 112.824112599 139% => OK
Words per sentence: 29.875 22.9334400587 130% => OK
Discourse Markers: 4.125 5.23603664747 79% => 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 : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.288128872392 0.215688989381 134% => OK
Sentence topic coherence: 0.132250821246 0.103423049105 128% => OK
Sentence topic coherence SD: 0.120062475801 0.0843802449381 142% => OK
Paragraph topic coherence: 0.208588821596 0.15604864568 134% => OK
Paragraph topic coherence SD: 0.132921649205 0.0819641961636 162% => OK
Essay readability:
automated_readability_index: 18.2 13.2329268293 138% => OK
flesch_reading_ease: 50.5 61.2550243902 82% => OK
smog_index: 11.2 6.51609756098 172% => OK
flesch_kincaid_grade: 13.4 10.3012195122 130% => OK
coleman_liau_index: 13.76 11.4140731707 121% => OK
dale_chall_readability_score: 8.58 8.06136585366 106% => OK
difficult_words: 53.0 40.7170731707 130% => OK
linsear_write_formula: 15.0 11.4329268293 131% => OK
gunning_fog: 13.6 10.9970731707 124% => OK
text_standard: 14.0 11.0658536585 127% => OK
What are above readability scores?
---------------------
Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 Out of 9
---------------------
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.