The charts below shows information about changes in average house prices in five different cities between 1990 and 2002 compared with the average house prices in 1989.Summarise the information by selecting and reporting the main features, and make compari

The bar chart compares how average prices for a house changes in the period between 1990 and 2002 to the house prices in 1989 in five cities namely New York, Madrid, Tokyo, Frankfurt, London.

Overall, from 1996 to 2002, the house prices of all the cities was higher than themselves in the previous 5 years and there was a drastically increased in 4 Western countries in the group compared to 1989.

According to the given data, though the house prices were trend increased in the following 10 years, the Tokyo was the only city that kept the prices lower than average prices from 1989, with 7.5% in 1990-1995 and exactly 5% in the following 5 years, equivalent the increase 2.5%.

In contrast, average property prices in the other cities were gradually rose and eventually in 1996-2002, all the cities showed the higher prices than that used to. The figure for Frankfurt prices was stable around 2.5% during 10 years. The biggest changed happened in London and New York when the prices climbed sharply over 20% and exactly 10% respectively. The remaining city showed 2% in change.

Votes
Average: 7.8 (1 vote)

Grammar and spelling errors:
Line 5, column 59, Rule ID: BEEN_PART_AGREEMENT[1]
Message: Consider using a past participle here: 'trended'.
Suggestion: trended
...iven data, though the house prices were trend increased in the following 10 years, t...
^^^^^
Line 5, column 101, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...end increased in the following 10 years, the Tokyo was the only city that kept th...
^^
Line 7, column 73, Rule ID: BEEN_PART_AGREEMENT[2]
Message: Consider using a past participle here: 'risen'.
Suggestion: risen
...ices in the other cities were gradually rose and eventually in 1996-2002, all the ci...
^^^^
Line 7, column 361, Rule ID: ENGLISH_WORD_REPEAT_BEGINNING_RULE
Message: Three successive sentences begin with the same word. Reword the sentence or use a thesaurus to find a synonym.
... over 20% and exactly 10% respectively. The remaining city showed 2% in change.
^^^

Transition Words or Phrases used:
in contrast

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 : 3.0 3.15609756098 95% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 27.0 33.7804878049 80% => OK
Nominalization: 0.0 3.97073170732 0% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.

Performance on vocabulary words:
No of characters: 905.0 965.302439024 94% => OK
No of words: 186.0 196.424390244 95% => More content wanted.
Chars per words: 4.86559139785 4.92477711251 99% => OK
Fourth root words length: 3.69299088775 3.73543355544 99% => OK
Word Length SD: 2.35509032878 2.65546596893 89% => OK
Unique words: 106.0 106.607317073 99% => OK
Unique words percentage: 0.569892473118 0.547539520022 104% => OK
syllable_count: 252.0 283.868780488 89% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 6.0 4.33902439024 138% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 4.0 3.36585365854 119% => OK

Performance on sentences:
How many sentences: 7.0 8.94146341463 78% => 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: 26.0 22.4926829268 116% => OK
Sentence length SD: 76.8425371146 43.030603864 179% => OK
Chars per sentence: 129.285714286 112.824112599 115% => OK
Words per sentence: 26.5714285714 22.9334400587 116% => OK
Discourse Markers: 1.57142857143 5.23603664747 30% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 4.0 1.69756097561 236% => Less language errors wanted.
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: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.366903617059 0.215688989381 170% => OK
Sentence topic coherence: 0.174575674861 0.103423049105 169% => OK
Sentence topic coherence SD: 0.115060302939 0.0843802449381 136% => OK
Paragraph topic coherence: 0.249748217917 0.15604864568 160% => OK
Paragraph topic coherence SD: 0.0983304555067 0.0819641961636 120% => OK

Essay readability:
automated_readability_index: 14.8 13.2329268293 112% => OK
flesch_reading_ease: 62.01 61.2550243902 101% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 11.1 10.3012195122 108% => OK
coleman_liau_index: 11.26 11.4140731707 99% => OK
dale_chall_readability_score: 8.41 8.06136585366 104% => OK
difficult_words: 41.0 40.7170731707 101% => OK
linsear_write_formula: 17.0 11.4329268293 149% => OK
gunning_fog: 12.4 10.9970731707 113% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?

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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.