Trends of internal displacement in Kenya: the case of Kuresoi, Nakuru County, 1992 - 2008
Mutugi, Doughlas Muriithi
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This study will investigate trends of internal displacement in Kenya; the case of KuresoiNorth Sub-County between 1992-2008. The sub-county is inhabited by several ethnic groups although the Kipsigis (a sub-group of the larger Kalenjin), the Kikuyu and the Kisii are the most populous. Since the introduction of multi-party politics in 1991, the sub-county has been experiencing political violence resulting into internal displacement during general elections. After providing some historical background to the study, relevant literature is reviewed on Iraq, Sudan, Kenya and Molo. The reviewed literature show that although there is much literature on ethnic violence at international, regional and national levels, little effort has been made to interrogate trends in regards to the motives, trends in the process and the consequences of internal displacement in Kuresoi North Sub-County in the period 1992-2008. This gap justifies the need for this study. The study will be guided by three objectives; to analyze trends in the motives for internal displacement, to examine trends in the process of internal displacement and to analyze the consequences of internal displacement in Kuresoi North Sub-County between 1992-2008. The study is predicated on three fundamental premises. First, internal displacement in the study area was motivated by political competition. Second, internal displacement was characterized by violence. Finally, internal displacement inKuresoi North Sub-County between 1992-2008 led to loss of residents' livelihoods. The study will employ Protracted Social Conflict theory to analyze data. In terms of methodology, the study will employ oral interviews and questionnaire guideline to collect data. The data will be collected from respondents who will be classified into four strata; host communities' elders, IDPs, government officials, and NGOs and religious organizations. Qualitative data will be analyzed, organized, and categorized into key thematic areas. Quantitative data will be sorted, coded, and classified according to descriptive numerals. The data will be presented in tables, bar graphs and pie charts.