A recent study reported the relationship between suicide rates in both sexes in the age bands 65–74 and 75+ years and the Gross National Domestic Product (GDP), a measure of socio-economic status, as being curvilinear (inverted U-shaped curve) and fitting the quadratic equation y = a + bx−cx2 (where y is the suicide rate, x is the Gini coefficient and a, b and c are constants) (Shah, 2010). This relationship was explained using the epidemiological transition hypothesis (Shah and Bhat, 2010) and the explanatory model included the following sequence of events (Shah, 2010): (i) countries with low socio-economic status have poorly developed healthcare system; (ii) a poorly developed healthcare system is associated with increased child mortality; (iii) increased child mortality rates result in reduced life expectancy; and (iv) reduced life expectancy leads to fewer people reaching old age, the age at which the risk of suicide is high. In order to provide support for this hypothesis other data sources related to socio-economic status, quality and quantity of healthcare services and life expectancy were examined.