The table and charts detailed below give information about the police budget in 2017 and 2018 in one area of Britain. The table illustrates where the money came from and the charts show how it was distributed.
The given table and pie charts reveal the sources which the police budget came from and how that money was used for different purposes in the two years 2017 and 2018 in a British area.
Overall, it can be seen that in both 2017 and 2018, the police budget mainly stemmed from the national government, then local taxes, then other sources. In addition, that money was used most to pay for labor, followed by the buildings-transport and then technological purposes.
Looking at the table, in 2017, the ratio of police budget which was contributed by the government took up the largest part, at 175.5m, the second rank was local taxes with 91.2m and the final place was other sources with 38m. A similar outcome was seen in 2018 with slight increases in all three categories, to 177.8m, 102.3m, and 38.5 m, respectively.
In terms of budget allocation, the technology industry was the least financed section, accounting for only 8% in 2017, (6% lower than that of the next year), followed by the buildings-transport with 17% (remained unchanged in 2018), and the proportion of money used to pay salaries was the highest, at 75% in 2017 and 69% in 2018.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2022-09-19 | Vũ Ngọc Lam | 78 | view |
| 2022-09-19 | Vũ Ngọc Lam | 84 | view |
- The two maps below show road access to a city hospital in 2007 and in 2010 78
- Some people think that technology makes life complex so we should make our life simpler without using technology To what extent do you agree or disagree 78
- In some cultures children are often told that they can achieve anything if they try hard enough What are the advantages and disadvantages of giving children this message 80
- The illustrations show how chocolate is produced Summarize the information by selecting and reporting the main features and make comparisons where relevant 27
- The charts show the sources of electricity produced in 4 countries between 2003 and 2008 Summarise the information by selecting and reporting the main features and make comparisons where relevant 84
Transition Words or Phrases used:
but, if, look, second, so, then, in addition
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 9.0 7.0 129% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 9.0 6.8 132% => OK
Relative clauses : 6.0 3.15609756098 190% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 32.0 33.7804878049 95% => OK
Nominalization: 6.0 3.97073170732 151% => OK
Performance on vocabulary words:
No of characters: 960.0 965.302439024 99% => OK
No of words: 199.0 196.424390244 101% => OK
Chars per words: 4.82412060302 4.92477711251 98% => OK
Fourth root words length: 3.75589349951 3.73543355544 101% => OK
Word Length SD: 2.77998015994 2.65546596893 105% => OK
Unique words: 112.0 106.607317073 105% => OK
Unique words percentage: 0.562814070352 0.547539520022 103% => OK
syllable_count: 259.2 283.868780488 91% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 6.0 4.33902439024 138% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 2.0 0.482926829268 414% => Less conjunction wanted as sentence beginning.
Preposition: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 6.0 8.94146341463 67% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 33.0 22.4926829268 147% => The Avg. Sentence Length is relatively long.
Sentence length SD: 70.2987671774 43.030603864 163% => OK
Chars per sentence: 160.0 112.824112599 142% => OK
Words per sentence: 33.1666666667 22.9334400587 145% => OK
Discourse Markers: 7.33333333333 5.23603664747 140% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 1.0 3.70975609756 27% => More positive sentences wanted.
Sentences with negative sentiment : 2.0 1.13902439024 176% => OK
Sentences with neutral sentiment: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.265496873322 0.215688989381 123% => OK
Sentence topic coherence: 0.135100042689 0.103423049105 131% => OK
Sentence topic coherence SD: 0.109898717958 0.0843802449381 130% => OK
Paragraph topic coherence: 0.179999034845 0.15604864568 115% => OK
Paragraph topic coherence SD: 0.111180850587 0.0819641961636 136% => OK
Essay readability:
automated_readability_index: 17.9 13.2329268293 135% => OK
flesch_reading_ease: 63.36 61.2550243902 103% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 12.6 10.3012195122 122% => OK
coleman_liau_index: 11.27 11.4140731707 99% => OK
dale_chall_readability_score: 8.76 8.06136585366 109% => OK
difficult_words: 44.0 40.7170731707 108% => OK
linsear_write_formula: 13.5 11.4329268293 118% => OK
gunning_fog: 15.2 10.9970731707 138% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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Rates: 84.2696629213 out of 100
Scores by essay e-grader: 7.5 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.