The table and charts detailed below give information about the police budget in 2017 and 2018 in on area of Britain. The table illustrates where the money came from and the charts show how it was distributed.
The figures demonstrate the various sources of the police budget and its distribution in 2017 and 2018.
From an overall perspective, the national government was the biggest budget provider and the majority of funds were used to pay officers and staff in both 2017 and 2018. Furthermore, the total budget increased in 2018.
Regarding the sources, around 266 million of the total police funds came from the national government and local taxes. This figure rose to approximately 280 million in 2018, with the local taxes introducing an additional 11 million to the budget. However, other sources, such as grants, contributed only 38 million to the police departments and this amount remained relatively the same in 2018.
According to the pie charts, three quarters of the funds was spent on the salaries of police employees in 2017. Expenditures on techonology, buildings, and transportation constituted the remaining 25% of the budget. During the following year, however, these expenses slightly increased to 31%, while the percentage of money dedicated to salaries was reduced by 7%.
- The table and charts detailed below give information about the police budget in 2017 and 2018 in on area of Britain The table illustrates where the money came from and the charts show how it was distributed 73
- The plans below show the site of an airport now and how it will look after redevelopment next year Summarise the information by selecting and reporting the main features and make comparisons where relevant Write at least 150 words 78
- The graph gives information about the percentage of the population if four different Asian countries living in cities between 1970 and 2020 with additional predictions for 2030 and 2040 Summarize the information by selecting and reporting the main feature 78
- In their advertising businesses nowadays usually emphasise that their products are new in some way Why is this Do you think it is a positive or negative development Give reasons for your answer and include any relevant examples from your own knowledge or 89
- Now a days many people choose to be self employed rather than work for a company Why might this be the case What could be the disadvantage of being self employed 73
Transition Words or Phrases used:
but, furthermore, however, regarding, so, while, such as
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 4.0 7.0 57% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 8.0 6.8 118% => OK
Relative clauses : 0.0 3.15609756098 0% => OK
Pronoun: 4.0 5.60731707317 71% => OK
Preposition: 29.0 33.7804878049 86% => OK
Nominalization: 4.0 3.97073170732 101% => OK
Performance on vocabulary words:
No of characters: 925.0 965.302439024 96% => OK
No of words: 172.0 196.424390244 88% => More content wanted.
Chars per words: 5.37790697674 4.92477711251 109% => OK
Fourth root words length: 3.62144681703 3.73543355544 97% => OK
Word Length SD: 2.91335927236 2.65546596893 110% => OK
Unique words: 99.0 106.607317073 93% => More unique words wanted.
Unique words percentage: 0.575581395349 0.547539520022 105% => OK
syllable_count: 270.9 283.868780488 95% => OK
avg_syllables_per_word: 1.6 1.45097560976 110% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 6.0 3.36585365854 178% => 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: 33.0084164351 43.030603864 77% => OK
Chars per sentence: 102.777777778 112.824112599 91% => OK
Words per sentence: 19.1111111111 22.9334400587 83% => OK
Discourse Markers: 6.22222222222 5.23603664747 119% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 3.0 3.70975609756 81% => 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: 0.193787696846 0.215688989381 90% => OK
Sentence topic coherence: 0.083905310046 0.103423049105 81% => OK
Sentence topic coherence SD: 0.0438680562283 0.0843802449381 52% => OK
Paragraph topic coherence: 0.128771822007 0.15604864568 83% => OK
Paragraph topic coherence SD: 0.037495368175 0.0819641961636 46% => 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: 13.5 13.2329268293 102% => OK
flesch_reading_ease: 52.19 61.2550243902 85% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 10.7 10.3012195122 104% => OK
coleman_liau_index: 13.92 11.4140731707 122% => OK
dale_chall_readability_score: 8.89 8.06136585366 110% => OK
difficult_words: 47.0 40.7170731707 115% => OK
linsear_write_formula: 8.5 11.4329268293 74% => OK
gunning_fog: 9.6 10.9970731707 87% => OK
text_standard: 9.0 11.0658536585 81% => 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.