RECENT IMMIGRANTS AND UNDERCLASS


POPULATION IN CANADIAN CITIES


SPATIAL ANALYSIS

Recent Immigrants and Poverty Index                                                                                       

From the foregoing, the separate regression models developed above reveal their individual and distinct characteristics with recent immigrant population. Poverty variables do not exist independently but one poverty variable may led to or activate another. This is evident in the well known geographic saying that ‘all things are related but near things are more related than distant things’.

A further spatial statistical analysis technique adopted is multiple regression, that combined the independent variables to model their interactive and the collective effect on the dependent variable. A poverty index is calculated from the coefficients of low income economic families, persons without income, educational level and government transfer payments. Though government transfers may be considered as a result of poverty, however, its occurrence essentially influences the presence of poverty. The combination of these independent variables is termed poverty index in this case. These poverty indices are representative of each entire CT. Recent immigrant poverty index indicated on the maps is calculated as:
 
                                                    If     100 %     =   PI          then

                                                              RIPi %   =   RIPi * PI
                                                                   100
However, for each CMA, the poverty index is calculated using the weights deduced from the regression technique. The poverty index (x) for a census tract is defined as:
                                             x = k1u + k2z + k3y + k4v + kc
where    u = Low income economic families (%)
             z = persons without income (%)
            y = government transfer payments (%)
            v = persons with education below grade 9(%)
            k1, k2, k3 and k4 are coefficients for u, z, y, and v respectively.
            kc is the constant term.
               
            Thus for the respective cities, the poverty index is calculated for 1996 and 2001 as:

Montreal 1996
                       x = 1.73u + 0.05z + 0.55y + 0.13v + 14.54

Montreal 2001
                       x = 1.77u + 0.12z + 0.57y + 0.11v + 10.71

Vancouver 1996
                        x = 0.87u + 0.23z + 0.11y + 0.28v + 7.36

Vancouver 2001
                        x = 1.15u + 0.20z + 0.21y + 0.24v + 6.21

Toronto 1996
                        x = 1.22u + 0.27z + 0.36y + 0.23v + 7.15

Toronto 2001
                        x = 1.03u + 0.19z + 0.29y + 0.14v + 6.07


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Conceptual idea       Introduction        Project Design        Conclusions

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