Inthis study, factors affecting the monthly fishmeat consumption was investigated in the survey administered to 384 people with CHAID algorithm central district of Bingol province. The dependent variable used is in fishmeat consumption. The independent variables are age, education level, occupation, number of households, vehiclenership, place of residence, income, expenses, food expenses and monthly fish consumption. Determination factor (R2 ), corrected determination coefficient and correlation coefficient were used to determine the effect of the model and factors affecting fish consumption by creating a regression tree. Factors affecting fishmeat consumption are; monthly fish expenditure (P <0.01), city of residence time (P <0.01), total monthly expenditure (P <0.01), car ownership (P <0.01), the number of households (P <0.01), total monthly income (P <0.01) and job (P <0.01). The determination coefficient (%) and the corrected determination coefficient (%) were calculated as 70.06 and 69.74, respectively, while a strong and positive correlation (r = 0.837) was found between observed and estimated fishing consumptions. On average, the most fishing consumptions are; Total monthly income was obtained from the subgroup of individuals whose monthly fish expenditure was BH> 240 TL and whose household number was more than 3 persons. Household income was found to be more in fluential on economic factors and household number of people in fish consumption. According to these results, lowering fish prices, raising the education level of consumers and increasing the number of households will be reflected positively in fish consumption.