Table 6 Determinants of the household... | Emerald Publishing

Table 6

Determinants of the household food insecurity in the Gauteng City-Region

	$β$	$SE$	$Wald$	$df$	$Sig .$	$Exp (B)$
$Gender$	−0.046	0.092	0.248	1	0.619	0.955
$Race$	0.028	0.1	0.081	1	0.776	1.029
$Unemployment$	0.648	0.11	34.765	1	0.00	1.911
$Health status$	0.275	0.065	17.79	1	0.00	1.316
$Food support$	0.035	0.113	0.098	1	0.755	0.965
$Education$	−0.247	0.058	18.429	1	0.00	0.781
$Age$	0.009	0.018	0.259	1	0.611	1.009
$Household size$	0.09	0.037	5.851	1	0.016	1.095
$Grant application$	0.016	0.114	0.02	1	0.887	1.016
$Indigence rebates$	−0.385	0.092	17.383	1	0.00	0.681
$Income$	−0.427	0.059	53.135	1	0.00	0.652
$Constant$	0.163	0.353	0.214	1	0.644	1.177

	$β$	$SE$	$Wald$	$df$	$Sig .$	$Exp (B)$
$Gender$	−0.046	0.092	0.248	1	0.619	0.955
$Race$	0.028	0.1	0.081	1	0.776	1.029
$Unemployment$	0.648	0.11	34.765	1	0.00	1.911
$Health status$	0.275	0.065	17.79	1	0.00	1.316
$Food support$	0.035	0.113	0.098	1	0.755	0.965
$Education$	−0.247	0.058	18.429	1	0.00	0.781
$Age$	0.009	0.018	0.259	1	0.611	1.009
$Household size$	0.09	0.037	5.851	1	0.016	1.095
$Grant application$	0.016	0.114	0.02	1	0.887	1.016
$Indigence rebates$	−0.385	0.092	17.383	1	0.00	0.681
$Income$	−0.427	0.059	53.135	1	0.00	0.652
$Constant$	0.163	0.353	0.214	1	0.644	1.177

Source(s): Survey data (2020) computed using SPSS software (version 25)