WORKING AGE ADULTS IN FOUR COUNTRIES
The linegraph gives information about the rate of a adult in the workforce in France, USA, Japan and Germany over the period 90 years, with the prediction to 2050.
As observed from the graph, there was a dramatic drop in the number of Japan’s laborforce between 1960 and 2020 and it will continually fall during next 30 years. Meanwhile, the percentage of adult population in France and Germany witnessed a gradual fluctuation over the period surveyed.
In 1960, the rate of people in working age in the US ranked the lowest figure, at about 60%, then it increased considerably in 1980 and overtook the population of Germany and France’s adult. After leveling off and having a minimal jump in 2000, this figure is likely to plunge in 2050 and tend to be the highest rate among three other countries. Whereas, the number of Japanese in working age peaked at 70%, the highest figure in 1990, then this number sank until 2020 and it can be predicted to tank again in 30 years.
Besides, the proportion of France’s worker saw a slight growth during the first 30 years and met the same percentage with America's adult in 1990. This figure is projected to meet a need again with German workforce’s proportion in 2030 and are likely to surpass more than about 5% in 2050.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2023-07-26 | htngyen | view | |
| 2023-07-26 | htngyen | view | |
| 2023-03-11 | Giang Tran | 73 | view |
| 2023-02-19 | Giang Tran | 78 | view |
| 2023-02-12 | Giang Tran | 78 | view |
- 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 84
- The graph below shows the number of overseas visitors to three different areas of a European country between 1987 and 2007 78
- The graph below shows how elderly people in the United States spent their free time between 1980 and 2010 Summarise the information by selecting and reporting the main features and make comparisons where relevant Write at least 150 words 11
- The chart illustrates consumption of three kinds of fast food by teenagers in Mauritius from 1985 to 2015 Summarise the information by selecting and reporting the main features and make comparisons where relevant 78
- The chart illustrates consumption of three kinds of fast food by teenagers in Mauritius from 1985 to 2015 Summarise the information by selecting and reporting the main features and make comparisons where relevant Write at least 150 words 73
Grammar and spelling errors:
Line 1, column 51, Rule ID: EN_A_VS_AN
Message: Use 'an' instead of 'a' if the following word starts with a vowel sound, e.g. 'an article', 'an hour'
Suggestion: an
...aph gives information about the rate of a adult in the workforce in France, USA, ...
^
Transition Words or Phrases used:
besides, first, then, whereas, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 7.0 86% => OK
Auxiliary verbs: 3.0 1.00243902439 299% => Less auxiliary verb wanted.
Conjunction : 11.0 6.8 162% => OK
Relative clauses : 0.0 3.15609756098 0% => OK
Pronoun: 7.0 5.60731707317 125% => Less pronouns wanted
Preposition: 47.0 33.7804878049 139% => OK
Nominalization: 7.0 3.97073170732 176% => OK
Performance on vocabulary words:
No of characters: 1057.0 965.302439024 109% => OK
No of words: 223.0 196.424390244 114% => OK
Chars per words: 4.7399103139 4.92477711251 96% => OK
Fourth root words length: 3.86434787811 3.73543355544 103% => OK
Word Length SD: 2.56683275198 2.65546596893 97% => OK
Unique words: 125.0 106.607317073 117% => OK
Unique words percentage: 0.560538116592 0.547539520022 102% => OK
syllable_count: 311.4 283.868780488 110% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => 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: 27.0 22.4926829268 120% => The Avg. Sentence Length is relatively long.
Sentence length SD: 18.9192362425 43.030603864 44% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 132.125 112.824112599 117% => OK
Words per sentence: 27.875 22.9334400587 122% => OK
Discourse Markers: 4.5 5.23603664747 86% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 1.0 1.69756097561 59% => OK
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 2.0 1.13902439024 176% => OK
Sentences with neutral sentiment: 4.0 4.09268292683 98% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.13516339676 0.215688989381 63% => OK
Sentence topic coherence: 0.0585779440353 0.103423049105 57% => OK
Sentence topic coherence SD: 0.0589352500306 0.0843802449381 70% => OK
Paragraph topic coherence: 0.0722377435173 0.15604864568 46% => OK
Paragraph topic coherence SD: 0.0456077707357 0.0819641961636 56% => OK
Essay readability:
automated_readability_index: 14.8 13.2329268293 112% => OK
flesch_reading_ease: 60.99 61.2550243902 100% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 11.5 10.3012195122 112% => OK
coleman_liau_index: 10.51 11.4140731707 92% => OK
dale_chall_readability_score: 8.3 8.06136585366 103% => OK
difficult_words: 47.0 40.7170731707 115% => OK
linsear_write_formula: 13.5 11.4329268293 118% => OK
gunning_fog: 12.8 10.9970731707 116% => OK
text_standard: 15.0 11.0658536585 136% => 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.