Sky Journal of Soil Science and Environmental Management Vol. 6(5), pp. 065-071, July, 2017. Available online
ISSN 2315-8794 ©2017 Sky Journals


Full Length Research Paper


Proposed model for predicting quantity of government low income housing provision and allocation for South Eastern states, Nigeria


Kalu, A. O.1*, Egbu, A. U.1, Alozie, M.C.2, and Oti, U. C.3

1Department of Urban and Regional Planning, Abia State University, Uturu.
2Department of Geography and Planning, Abia State University, Uturu.
3Department of Architecture, Abia State University, Uturu.

*Corresponding author. E-mail:  Tel.:+2348168331533, +2348073254374.



Accepted  31 May, 2017




Housing, which is one of the essential ingredients in the existence of man and his survival on earth, is being compromised to a miserable instance. One of the reasons for this is the inability of government agents to provide sufficiently for the need of the different categories that desired to be accommodated properly. Low class individuals are mostly the vulnerable class and are exposed optimally to hardship. This is prevalence in South-Eastern Nigeria. The government needs a framework and a platform that will adequately help to monitor and curtail this menace. The aim of this study was to develop a model to predict the quantity of low income housing provision for the South East, States of Nigeria. To achieve this aim, eight Low Income Housing Estates (LIHEs) were selected from 23 LIHEs in four states of south East Nigeria through deliberate sampling method. Questionnaires were administered to the LIHEs residents, landlords and officials of the housing corporations of the South Eastern States of Nigeria- Abia, Ebonyi, Enugu and Imo. Parameters used for the model consist of employment status, household income, household status, household type, plot size, room size and number of years in waiting list etc. Thus, QUOTE   = QUOTE  +   QUOTE  + QUOTE   Where:  QUOTE   = Total allocation of government low income housing   k = the number of months/years in waiting list and runs from  QUOTE    = Household size, dependence and household income  QUOTE     = plot size, house type and room size  QUOTE    = Employment status. The model posits to the reality of employment status as major determinants for GLIH allocation in South East States of Nigeria and supports GH agencies to seasonally reviewing the GLIH allocation policy in South East States of Nigeria and beyond. 

Key words: Framework, LIHEs, employment status, household income, GLIH, model.


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