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 presented data provides the financial resources and spending patterns in a locality of Britain. The table details the budget’s fund while the charts illustrate for what purposes this amount was used.
Looking from an overall perspective, it is readily apparent that the contributions of all sources are increased, though the national government ramained the main source. In terms of expenditure, the amount of money paid for salaries of officers and staffs outnumbered the spending on technology, buildings and transport.
Turning to financial aspect, funding from national government accounted for a significant portion in both two years. In 2017, it contributed 175.5 million pounds, whereas in 2018, it was 177.8 million pounds, a trivial rise. In contrast, there was a marked increase in local taxes, climbed considerebly more than 10 million pounds in 2018 compared with the previous year. Other sources, such as grants, were larly unchanged, at around 38 million pounds for both year. The total police budget was over 300 million pounds in 2017 and decresed dramatically by more than 13 million pounds in the following year.
In terms of budgetary allocation, the money which devoted to salaries of officers and staffs was three-quarters of the total budget in 2017 reduced to 69% in the next year, a moderate downward trend. However, the amount used for technology almost doubled after one year, grew from 8% to 14%, while spending on buildings and transport stabilized 17% in each year.
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| 2024-03-29 | minhnhat2002 | 84 | view |
| 2024-03-29 | minhnhat2002 | 78 | view |
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| 2023-12-12 | Ahmad_off | 78 | view |
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- 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
Transition Words or Phrases used:
but, however, if, look, so, whereas, while, in contrast, such as
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 8.0 7.0 114% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 37.0 33.7804878049 110% => OK
Nominalization: 4.0 3.97073170732 101% => OK
Performance on vocabulary words:
No of characters: 1272.0 965.302439024 132% => OK
No of words: 240.0 196.424390244 122% => OK
Chars per words: 5.3 4.92477711251 108% => OK
Fourth root words length: 3.93597934253 3.73543355544 105% => OK
Word Length SD: 2.79283557618 2.65546596893 105% => OK
Unique words: 146.0 106.607317073 137% => OK
Unique words percentage: 0.608333333333 0.547539520022 111% => OK
syllable_count: 359.1 283.868780488 127% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 1.53170731707 196% => OK
Article: 8.0 4.33902439024 184% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 5.0 3.36585365854 149% => OK
Performance on sentences:
How many sentences: 11.0 8.94146341463 123% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 32.0278804164 43.030603864 74% => OK
Chars per sentence: 115.636363636 112.824112599 102% => OK
Words per sentence: 21.8181818182 22.9334400587 95% => OK
Discourse Markers: 5.81818181818 5.23603664747 111% => 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: 5.0 4.09268292683 122% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.166062792667 0.215688989381 77% => OK
Sentence topic coherence: 0.0614432760765 0.103423049105 59% => OK
Sentence topic coherence SD: 0.0417485946624 0.0843802449381 49% => Sentences are similar to each other.
Paragraph topic coherence: 0.100239407864 0.15604864568 64% => OK
Paragraph topic coherence SD: 0.0360431978185 0.0819641961636 44% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 14.4 13.2329268293 109% => OK
flesch_reading_ease: 58.62 61.2550243902 96% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 10.3 10.3012195122 100% => OK
coleman_liau_index: 13.46 11.4140731707 118% => OK
dale_chall_readability_score: 9.22 8.06136585366 114% => OK
difficult_words: 69.0 40.7170731707 169% => OK
linsear_write_formula: 8.5 11.4329268293 74% => OK
gunning_fog: 10.4 10.9970731707 95% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
---------------------
Rates: 89.8876404494 out of 100
Scores by essay e-grader: 8.0 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.