Özet:

This study aims to analyze the factors affecting households’ fast food consumption decisions, the amount of consumption and their spending. The main material of the study is the data obtained from the 2016 survey of 351 households living in the city centre of Istanbul. For the purpose of data analysis, frequency tables, identifying statistics, parametric and non-parametric tests and Binary Logistics Regression and Ordered Logit Regression Analysis were used. According to the results of the study, 69.8% of families in the province of Istanbul have fast food consumption habits, and the average fast food consumption spending of households is estimated to be 7.25% in total food spending. According to the logistical regression model results, the most important variables in fast food consumption decision and frequency are the household income, the gender of consumers, the level of education, age and civil status, the state of the mother working in the house, the state of the person under the age of 18 in the family.