Resumo

SWANEPOEL, J. W.; VAN NIEKERK, J. A.  e  VAN ROOYEN, C. J.. An analysis of the indicators affecting urban household food insecurity in the informal settlement area of the Cape Town Metropole. S Afr. Jnl. Agric. Ext. [online]. 2018, vol.46, n.1, pp.113-129. ISSN 2413-3221.  http://dx.doi.org/10.17159/2413-3221/2018/v46n1a467.

Households in the informal settlement areas of the Cape Town Metropole face different challenges in terms of poverty and food security. Challenges are determined by the social and economic circumstances these households subside in. Many initiatives by the Western Cape Department of Agriculture was initiated to aid households in these areas. Some of the initiatives include the implementation of urban household and community food gardens assisted by the Department's extension division. A thorough analysis of these indicators is imperative to initiate development planning. The results showed that 26.1% of household heads completed school, while 33.8% did not reach secondary school (grade 7). The average household size is 4.29 persons in the study area. The average age of household head was 48 and 50.64 years for non-farmer groups and urban farming households respectively. The average monthly income per household was R3543.22. The main source of income generated throughout the year derived from formal salaries or wages (46.4%), while child support grants and pension funds also contributed towards income. Expenditure factors accounts for 20.4% of the variance of factors affecting food security. The expenditure component is comprised by the share of food expenditure on income, the total value of food consumed and the household diet diversity score. The socio-economic indicators component forms the second largest component group (15.15%), while the components with a lesser effect include a food security component, an urban farming component and a geographical and market component.

Palavras-chave : Urban Agriculture; household gardens; community gardens; food security; household size; age; gender; education level; migrant workers; household income.

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