The table shows the amount of money given to developing countries by the USA, EU countries and other countries from 2006 to 2010 (Figures are in millions of dollars)
The table illustrates how much money was delivered to the growing nations by the USA, European and other countries between 2006 and 2010.
Generally, There was an upward trend in the total amount of the cash sent to developing areas, excepting the 2009 year. Besides, the USA was the biggest contributor in all measured years, the opposite was true with the other lands.
As can be seen from the table, in 2006, the number of coins transferred to the expanding territories by the USA over three times as much as European and other countries did, with a donation of $9,8 million, while European and other nations only donated $3.1 million and $2.8 million, respectively. Over the following two years, all three areas increased their contribution to growing lands.
In 2009, however, the sum of the money of the above three territories experienced a slight decrease to $23.5 million and this was also the only fall in the period. Therefore, these figures saw an increase again in 2010, wherein the quantity of money grant to developing countries rose most strongly about $4 million to $20.3 million. Meanwhile, the data for the other two countries only went up slightly to $4.1 million for European and $3.7 million for the other nations.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2022-09-07 | Drake004 | 84 | view |
| 2021-03-21 | Narges.s | 84 | view |
| 2020-02-22 | Nguyen Manh Dung | 78 | view |
| 2019-07-24 | angela_nancy | 67 | view |
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Grammar and spelling errors:
Line 3, column 193, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
... other countries did, with a donation of ,8 million, while European and other nati...
^^
Line 4, column 302, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...oping countries rose most strongly about million to 0.3 million. Meanwhile, the d...
^^
Line 4, column 304, Rule ID: NODT_DOZEN[1]
Message: Use simply: 'a million'.
Suggestion: a million
...ing countries rose most strongly about million to 0.3 million. Meanwhile, the data for...
^^^^^^^
Transition Words or Phrases used:
also, besides, but, however, so, therefore, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 7.0 86% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 7.0 6.8 103% => OK
Relative clauses : 0.0 3.15609756098 0% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 32.0 33.7804878049 95% => OK
Nominalization: 2.0 3.97073170732 50% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1015.0 965.302439024 105% => OK
No of words: 208.0 196.424390244 106% => OK
Chars per words: 4.87980769231 4.92477711251 99% => OK
Fourth root words length: 3.79765784423 3.73543355544 102% => OK
Word Length SD: 2.58730239648 2.65546596893 97% => OK
Unique words: 116.0 106.607317073 109% => OK
Unique words percentage: 0.557692307692 0.547539520022 102% => OK
syllable_count: 298.8 283.868780488 105% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 6.0 4.33902439024 138% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 26.0 22.4926829268 116% => OK
Sentence length SD: 57.5385740178 43.030603864 134% => OK
Chars per sentence: 126.875 112.824112599 112% => OK
Words per sentence: 26.0 22.9334400587 113% => OK
Discourse Markers: 6.125 5.23603664747 117% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 3.0 1.69756097561 177% => 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: 0.348230634561 0.215688989381 161% => OK
Sentence topic coherence: 0.142938211278 0.103423049105 138% => OK
Sentence topic coherence SD: 0.109318639042 0.0843802449381 130% => OK
Paragraph topic coherence: 0.211617895074 0.15604864568 136% => OK
Paragraph topic coherence SD: 0.0905762028386 0.0819641961636 111% => OK
Essay readability:
automated_readability_index: 14.6 13.2329268293 110% => OK
flesch_reading_ease: 62.01 61.2550243902 101% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 11.1 10.3012195122 108% => OK
coleman_liau_index: 11.32 11.4140731707 99% => OK
dale_chall_readability_score: 8.42 8.06136585366 104% => OK
difficult_words: 46.0 40.7170731707 113% => OK
linsear_write_formula: 14.0 11.4329268293 122% => OK
gunning_fog: 12.4 10.9970731707 113% => OK
text_standard: 9.0 11.0658536585 81% => 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.