Volume 7, Issue 5, September 2018, Page: 188-192
Statistical Analysis of Factors Affecting Poverty Status of Rural Residence
Bereket Getachew Mamo, Department of Statistics, Arba Minch University, Arba Minch, Ethiopia
Markos Abiso, Department of Statistics, Arba Minch University, Arba Minch, Ethiopia
Received: Jul. 5, 2018;       Accepted: Aug. 6, 2018;       Published: Sep. 21, 2018
DOI: 10.11648/j.ajtas.20180705.14      View  445      Downloads  55
Poverty is one of the serious problem affect the life of peoples in third world countries. Identifying major factors affecting poverty status of a society is important to decide what action should be taken to alleviate the poverty. The aim of this paper is to assess the factors that affect the poverty status of rural Residence in the study area. A cross-sectional study was conducted in five districts of Gamo Gofa zone, Southern Regional State of Ethiopia. From a total of households in these areas, 4092 were selected using stratified random sampling technique. Data were collected with a well designed questionnaire. If the welfare of a household is below the poverty line, the household is categorized as under poverty and if it is above poverty line, then the household is above poverty. Binary logistic regression model was used to analyze the data using the SPSS software. Several risk factors were found to be significant at the level of 5%. Saving culture, access to credit, resource base, land fertility, use of agricultural inputs, use of improved tools, availability of rain, land topography, labor availability and dependency attitude have significant association with the poverty status of a households. Governments and Non-Governmental organization should be aware of the consequences of these factors which can influence the household income and future poverty status.
Poverty, Household, Logistic Regression, Poverty Status and Poverty Factors
To cite this article
Bereket Getachew Mamo, Markos Abiso, Statistical Analysis of Factors Affecting Poverty Status of Rural Residence, American Journal of Theoretical and Applied Statistics. Vol. 7, No. 5, 2018, pp. 188-192. doi: 10.11648/j.ajtas.20180705.14
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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