The Child Poverty Action Group recently
re-released this scatter plot (amended at the y axis after I pointed out their ealier calculation error) depicting the percentage of child abuse in each CYF site office against the rate of benefit dependency in each site office area.
Along the x axis they plotted, "% income-tested beneficiaries in the total estimated population". I argued with them that they should have used income-tested beneficiaries
with dependent children if attempting to assess any association between child abuse and benefit dependency. Including everyone on an unemployment, sickness and invalid benefit would skew the result in my view.
To make my point I requested the relevant data from MSD.
Here's the result.
Below, in the first graph, I have used the CPAG data (available at their
appendices) and recreated their scatter plot (the pattern is naturally identical to the one above).
In the second graph I have used the same CPAG data for child abuse (Y axis) but entered the new income-tested beneficiary with dependent children as a percentage of the 18-64 year-old population data (X axis).
As expected the correlation has strengthened markedly.
CPAG has tried very hard to downplay the association between child abuse and benefit dependency going so far as to state in the same report,
"The data suggests there is no correlation between benefit receipt and child maltreatment." (p2)
Make your own mind up.
But also ask yourself why they would do this.
CPAG believes that children are poor because benefit payment rates are too low. They cannot accept there is anything inherently problematic with being on a benefit long-term barring children don't receive enough income from the state. If the public starts to believe that benefit dependency is a significant risk for children then CPAG is in trouble. And so are the electoral chances of the Greens and Labour, both promoting higher benefits.