The table and charts below give information on the police budget for 2017 and 2018 in one area of Britain. The table shows where the money came from and the charts show how it was distributed.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The table illustrates the police budget 2017-2018 of one place in Britain. The pie chart show the distribution of the money.
Overall, the national government contributed the most amount of money for police budget. And the largest amount of money was spent on salaries of officers and staff while technology was the field given the least money.
To begin, the police budget mainly came from the national government with 175.5 million in 2017 and 177.8 million in 2018. At the second and third place was the local taxes and other sources like grants with 91,2 million and 38 million in 2017; 102.3 million and 38.5 million in 2018 respectively.
In term of the investment of money on three fields, the money was spent on salaries of officers and staff in 2017 was three quarter of all percentage, which decreased to 69% in 2018. By contract, the percentage of money invested in technology increased from 8% to 14%. Finally, the proportion of money put in buildings and transport remains unchanged in two-year period.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2022-12-29 | ielts_tony | 73 | view |
| 2022-12-29 | ielts_tony | 73 | view |
| 2022-07-30 | meocatrinh | 78 | view |
- The table and charts below give information on the police budget for 2017 and 2018 in one area of Britain The table shows where the money came from and the charts show how it was distributed Summarise the information by selecting and reporting the main fe 73
- The diagrams below show the design for a wave energy machine and its location Summarise the information by selecting and reporting the main features and making comparisons where relevant You should write at least 150 words 78
Transition Words or Phrases used:
but, finally, second, so, 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 : 9.0 6.8 132% => OK
Relative clauses : 1.0 3.15609756098 32% => OK
Pronoun: 0.0 5.60731707317 0% => OK
Preposition: 35.0 33.7804878049 104% => OK
Nominalization: 5.0 3.97073170732 126% => OK
Performance on vocabulary words:
No of characters: 849.0 965.302439024 88% => OK
No of words: 172.0 196.424390244 88% => More content wanted.
Chars per words: 4.93604651163 4.92477711251 100% => OK
Fourth root words length: 3.62144681703 3.73543355544 97% => OK
Word Length SD: 2.55736642652 2.65546596893 96% => OK
Unique words: 91.0 106.607317073 85% => More unique words wanted.
Unique words percentage: 0.529069767442 0.547539520022 97% => OK
syllable_count: 234.9 283.868780488 83% => 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: 7.0 4.33902439024 161% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 19.0 22.4926829268 84% => The Avg. Sentence Length is relatively short.
Sentence length SD: 42.1244481958 43.030603864 98% => OK
Chars per sentence: 94.3333333333 112.824112599 84% => OK
Words per sentence: 19.1111111111 22.9334400587 83% => OK
Discourse Markers: 4.22222222222 5.23603664747 81% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 7.0 4.09268292683 171% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.281470338308 0.215688989381 130% => OK
Sentence topic coherence: 0.134428818648 0.103423049105 130% => OK
Sentence topic coherence SD: 0.0974514199545 0.0843802449381 115% => OK
Paragraph topic coherence: 0.200839213724 0.15604864568 129% => OK
Paragraph topic coherence SD: 0.147939143343 0.0819641961636 180% => OK
Essay readability:
automated_readability_index: 11.4 13.2329268293 86% => Automated_readability_index is low.
flesch_reading_ease: 69.11 61.2550243902 113% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 8.3 10.3012195122 81% => OK
coleman_liau_index: 11.37 11.4140731707 100% => OK
dale_chall_readability_score: 7.61 8.06136585366 94% => OK
difficult_words: 33.0 40.7170731707 81% => More difficult words wanted.
linsear_write_formula: 8.0 11.4329268293 70% => OK
gunning_fog: 9.6 10.9970731707 87% => OK
text_standard: 8.0 11.0658536585 72% => OK
What are above readability scores?
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Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 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.