A study on income distribution and poverty analysis in Turkey: Example of Hatay province

Semerci A., Daǧistan E., Yilmaz Y., Tapki N.

Journal of Food, Agriculture and Environment, vol.11, no.3-4, pp.1820-1827, 2013 (Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 11 Issue: 3-4
  • Publication Date: 2013
  • Journal Name: Journal of Food, Agriculture and Environment
  • Journal Indexes: Scopus
  • Page Numbers: pp.1820-1827
  • Keywords: Gini coefficient, Income distribution, Income inequality, Poverty, Turkey
  • Çanakkale Onsekiz Mart University Affiliated: No


This study was held to show Households' income distribition and expense amount in rural and urban areas of Hatay Province in the Mediterranean Region. Data used in this study are for the year 2010 and these data were obtained through 715 interviewed and determined by "Probablity Sampling Method" households in rural and district center. Income distribution of households in the survey has been analysed by usaging scales of Interests of Management, Gini coefficient and Lorenz curve. According to results, the difference between the 20% slice of the highest-income and 20% slice of lowest income is 14.7 times in rural areas and 5.9 times in urban areas. Gini coefficient calculated for research area been determined as 0.47 for households live in rural areas and 0.34 for households live in urban areas. When these data are compared with the overall Turkey, it is seen that while there is not a significant difference in income distribution in urban areas but the income distribution in rural areas is quite disrupted when compared with overall country. 28.9% of the rural population in the region live below the poverty line. It is determined that in income groups, food expenditure comes first both in rural and urban areas. In study it has been concluded that income inequality has reached significant levels. Especially, priority should be given policies for the creation of new employment opportunities which will affect income distribution positively in rural development strategies.