Feed URL: http://www.bbc.co.uk/news/uk-england-39507859
This article from BBC News uses a bold and effective statement to create panic amongst the general public and uses a large figure to add to the effect they want to give off. By saying that 900 carers quit every day it sets the tone of the rest of the article, one that portrays concern and fear.
The article expands on this claim and goes into sufficient detail as to where these figures came from and includes supporting evidence that their above statement is true. Using data gathered by ‘Skills for Care’ the article points out that “in 2015-16 there were more than 1.3 million people employed in the adult social care sector in England”. The BBC then analyses the data given and concluded that “an estimated 338,520 adult social care workers left their roles in 2015-16. That is equivalent to 928 people leaving their job every day”. This is accurate to their heading and means the article does not give any false information.
Furthermore, the article goes into detail and attempts to conclude why there is a significant fall in adult carers in the last year. They provide more figures such as the average wage of a carer; being £7.69 an hour. They then provide an average of 1 in four adult carers being employed on zero contract hours and as well that 1 in 20 job roles remain vacant. These figures however are not supported with a reliable data source like the previous statements and so there is an issue that they are not entirely accurate. The article then displays a range of bar charts to portray their statement and allow the reader to see clearly the extent to what they are trying to argue. The charts show a correlation between their previous figures and statements and further support their heading. This allows the article to be even more reliable and accurate to their initial statement.
Overall, this article uses mainly reliable data sources and analyses the data well in order to come to a just conclusion. The article has provided relevant figures and charts to accurately and easily identify what they are trying to argue, therefore, the article and it’s data within is relevant to its heading and provides no false information.