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 given graphs illustrate the police budget for two years 2017 and 2018 in one specific area in Britain. The table gives information about the sources of money, and the two chart depict the distribution of the money. Overall, it can be seen that there are three main sources of the budget including national government, local taxes, and other sources, likewise the amount of money was spent on three fields which are salaries, technology, and building and transport.
To begin with, in 2017, the total police allocation was 304.7 million. The amount of money collected by native authorities was the highest at 175.5 million whereas that by local taxes was 91.2 million. The other sources such as grants were the lowest at 38 million. All the budget had distributed to three sectors. Firstly, %75 went to officers and staff incomes. Also, %17 was spent on technology while only %8 was allocated for buildings and transport.
Comparing to 2018, the total funds was higher and reached 318.6 million which includes 177.8m from domestic government instead of 175.5m in 2017, 102.3m from domestic taxes, and 38.5m from grants. However, in 2018, %69 of the budget was spent on police officers and employees salaries. The amount that was allocated for technology had not changed in 2018 as well at %17, whereas %14 this time had spent on buildings and transport.
Post date | Users | Rates | Link to Content |
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2024-03-29 | minhnhat2002 | 84 | view |
2024-03-29 | minhnhat2002 | 78 | view |
2024-03-09 | minhnhat2002 | 73 | view |
2023-12-12 | Ahmad_off | 78 | view |
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 78
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Transition Words or Phrases used:
also, but, first, firstly, however, if, likewise, so, well, whereas, while, such as, to begin with
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 13.0 7.0 186% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 11.0 6.8 162% => OK
Relative clauses : 5.0 3.15609756098 158% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 31.0 33.7804878049 92% => OK
Nominalization: 5.0 3.97073170732 126% => OK
Performance on vocabulary words:
No of characters: 1136.0 965.302439024 118% => OK
No of words: 227.0 196.424390244 116% => OK
Chars per words: 5.00440528634 4.92477711251 102% => OK
Fourth root words length: 3.88156143495 3.73543355544 104% => OK
Word Length SD: 2.45199203469 2.65546596893 92% => OK
Unique words: 127.0 106.607317073 119% => OK
Unique words percentage: 0.559471365639 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: 1.0 1.53170731707 65% => OK
Article: 7.0 4.33902439024 161% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 4.0 0.482926829268 828% => Less conjunction wanted as sentence beginning.
Preposition: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 12.0 8.94146341463 134% => OK
Sentence length: 18.0 22.4926829268 80% => The Avg. Sentence Length is relatively short.
Sentence length SD: 58.185706053 43.030603864 135% => OK
Chars per sentence: 94.6666666667 112.824112599 84% => OK
Words per sentence: 18.9166666667 22.9334400587 82% => OK
Discourse Markers: 8.16666666667 5.23603664747 156% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
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 : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 9.0 4.09268292683 220% => Less facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.256880192504 0.215688989381 119% => OK
Sentence topic coherence: 0.0966524030428 0.103423049105 93% => OK
Sentence topic coherence SD: 0.0846543825789 0.0843802449381 100% => OK
Paragraph topic coherence: 0.181628857912 0.15604864568 116% => OK
Paragraph topic coherence SD: 0.0865809851231 0.0819641961636 106% => OK
Essay readability:
automated_readability_index: 11.6 13.2329268293 88% => Automated_readability_index is low.
flesch_reading_ease: 70.13 61.2550243902 114% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 7.9 10.3012195122 77% => OK
coleman_liau_index: 11.72 11.4140731707 103% => OK
dale_chall_readability_score: 8.08 8.06136585366 100% => OK
difficult_words: 51.0 40.7170731707 125% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 9.2 10.9970731707 84% => OK
text_standard: 12.0 11.0658536585 108% => 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.