Page 411 - Special Topic Session (STS) - Volume 2
P. 411

STS508 Suraya Ismail
            Table 3: Median multiple affordability by state, 2002 – 2016











































                Even then, these calculations are based on state-wide numbers and do not
            reflect the relative scarcities of housing units in different housing markets of
            cities and towns. For example, a housing market in Kuala Muda would be vastly
            different than Alor Star, and yet official data is collected to reflect a state level
            median house price that includes both housing markets. Indeed, some of the
            supply mismatches of house prices to income (and therefore reducing housing
            affordability  and  creating  a  supply  glut)  have  occurred  since  housing
            development  projects  treat  these  markets  as  similar,  ostensibly  with  the
            intention of increasing the carrying capacity of impending growth of cities and
            towns. Therefore, data on household income levels and house prices must be
            collected at the right scale of existing housing markets. The projections of the
            future  growth  of  towns  and  cities  could  be  estimated  from  the  strategic
            directions laid down in State’s Structure plan and District local plan. In lieu of
            this, the spread of housing markets that goes beyond state boundaries must
            be acknowledged. Take for instance the case of Negeri Sembilan; the median
            multiple has remained moderately affordable during the period of 20022012


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