The chart shows the employment status of adults in the US in 2003 and 2013.
The bar chart illustrates the proportion of employee in six different types of career in american between 2003 and 2013.
It is clear that there were increases in the percentage of people working in education training, the hotel industry, the building industry and self-employed whereas the opposite was true for the medical and business medical related jobs. Additionally, the unemployment rate dropped significantly in this time.
In 2003, approximately 8%, 4% and 10% of american adults worked in education training, the hotel and building industries, respectively. The figures for these fields all rose to about 20% over a decade. Meanwhile, the number of people in working age who run their own business witnessed the largest rise, almost tripled, from roughly 10% in 2003 to just over 30% in 2013.
In 2013, nearly 30% of the labour force in the US involved in business fields after which reached the highest point in 2003, around 47%. Similarly, the rate of staff in the medical industry accounted for one-five of the total of the adult in the United States in 2003 and dropped by half over the following ten years.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2024-12-10 | Trần Ánh Vy | 67 | view |
| 2024-11-19 | hahoaan | 78 | view |
| 2024-11-12 | Huyenlbg87 | 84 | view |
| 2024-11-10 | Giang Tran | 84 | view |
| 2024-11-10 | Giang Tran | 84 | view |
- The tables give information about the average hour s work by part time and full time men and women in three countries in Europe in 2002 and compare them with the European countries 84
- Some say that sports play an important role in society Others however think that it is nothing more than a leisure activity Discuss both views and give your own opinion 73
- The bar chart shows the percentage of the total world population in 4 countries in 1950 and 2003 and projections for 2050 95
- The bar chart below shows the percentage of government spending on roads and transport in 4 countries in the years 1990, 1995, 2000, 2005. 73
- The chart below shows Japan s population by age groups starting in 1960 and including a forecast to 2040 84
Transition Words or Phrases used:
if, similarly, whereas, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 3.0 7.0 43% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 6.0 5.60731707317 107% => OK
Preposition: 38.0 33.7804878049 112% => OK
Nominalization: 4.0 3.97073170732 101% => OK
Performance on vocabulary words:
No of characters: 945.0 965.302439024 98% => OK
No of words: 187.0 196.424390244 95% => OK
Chars per words: 5.05347593583 4.92477711251 103% => OK
Fourth root words length: 3.69794460899 3.73543355544 99% => OK
Word Length SD: 2.75174092646 2.65546596893 104% => OK
Unique words: 112.0 106.607317073 105% => OK
Unique words percentage: 0.598930481283 0.547539520022 109% => OK
syllable_count: 279.9 283.868780488 99% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 8.0 4.33902439024 184% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
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: 23.0 22.4926829268 102% => OK
Sentence length SD: 53.1648380041 43.030603864 124% => OK
Chars per sentence: 118.125 112.824112599 105% => OK
Words per sentence: 23.375 22.9334400587 102% => OK
Discourse Markers: 3.625 5.23603664747 69% => 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 : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 2.0 4.09268292683 49% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.213993375962 0.215688989381 99% => OK
Sentence topic coherence: 0.0809057419704 0.103423049105 78% => OK
Sentence topic coherence SD: 0.0613350339552 0.0843802449381 73% => OK
Paragraph topic coherence: 0.12319168905 0.15604864568 79% => OK
Paragraph topic coherence SD: 0.0582100506602 0.0819641961636 71% => OK
Essay readability:
automated_readability_index: 14.0 13.2329268293 106% => OK
flesch_reading_ease: 56.59 61.2550243902 92% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 11.1 10.3012195122 108% => OK
coleman_liau_index: 12.31 11.4140731707 108% => OK
dale_chall_readability_score: 8.32 8.06136585366 103% => OK
difficult_words: 42.0 40.7170731707 103% => OK
linsear_write_formula: 12.0 11.4329268293 105% => OK
gunning_fog: 11.2 10.9970731707 102% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?
---------------------
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.