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 indicates different sources for the police budget while the pie charts display the percentage of the money was spent in three purposes: salaries, technology, buildings and transport. Both are measured in 2017 and 2018 in one area of Britain. In general, the national government is the largest contributor to its budget, while salaries are the largest spending.
The police budget reached 304.7 million pounds in 2017 and most of the sources came from national government, accounting for 175.5 million pounds. In contrast to local taxes, which significantly climbed from 91.2 million pounds to 102.3 million in 2018, national government showed a slight increase with 177.8 million by 2018. Other sources such as grants remained the same in both years at 38 million.
In 2017, salaries for officers and staff accounting for 75% of the funding, which is the largest outlay of money, declined to 69% by the year 2018. On the other hand, spending on technology had a remarkable rise from 8% to 14% in 2018. Staying the same in both years at 17% of the expenditure is the amount of money 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 chart below gives information about how families in one country spent their weekly income in 1968 and in 2018 Summarise the information by selecting and reporting the main features and make comparisons where relevant
- The graph below shows the number of shops that closed and the number of new shops that opened in one country between 2011 and 2018 Summarise the information by selecting and reporting the main features and make comparisons where relevant
Transition Words or Phrases used:
but, if, so, while, in contrast, in general, such as, in contrast to, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 7.0 86% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 5.0 6.8 74% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 1.0 5.60731707317 18% => OK
Preposition: 34.0 33.7804878049 101% => OK
Nominalization: 3.0 3.97073170732 76% => OK
Performance on vocabulary words:
No of characters: 941.0 965.302439024 97% => OK
No of words: 189.0 196.424390244 96% => OK
Chars per words: 4.97883597884 4.92477711251 101% => OK
Fourth root words length: 3.70779275107 3.73543355544 99% => OK
Word Length SD: 2.62010026412 2.65546596893 99% => OK
Unique words: 105.0 106.607317073 98% => OK
Unique words percentage: 0.555555555556 0.547539520022 101% => OK
syllable_count: 257.4 283.868780488 91% => 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: 3.0 4.33902439024 69% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 43.3908450263 43.030603864 101% => OK
Chars per sentence: 104.555555556 112.824112599 93% => OK
Words per sentence: 21.0 22.9334400587 92% => OK
Discourse Markers: 9.66666666667 5.23603664747 185% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
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: 0.223376724475 0.215688989381 104% => OK
Sentence topic coherence: 0.0899734072958 0.103423049105 87% => OK
Sentence topic coherence SD: 0.0685406922269 0.0843802449381 81% => OK
Paragraph topic coherence: 0.147753131283 0.15604864568 95% => OK
Paragraph topic coherence SD: 0.0578319068015 0.0819641961636 71% => OK
Essay readability:
automated_readability_index: 12.5 13.2329268293 94% => Automated_readability_index is low.
flesch_reading_ease: 67.08 61.2550243902 110% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.1 10.3012195122 88% => OK
coleman_liau_index: 11.6 11.4140731707 102% => OK
dale_chall_readability_score: 8.19 8.06136585366 102% => OK
difficult_words: 42.0 40.7170731707 103% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 10.4 10.9970731707 95% => OK
text_standard: 11.0 11.0658536585 99% => 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.