Browsing by Author "Ibrahim, Fadila Garba"
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Item Open Access ASSESSESSMENT OF THE HOUSING QUALITY IN LOKOGOMA DISTRICT, ABUJA MUNICIPAL AREA COUNCIL, FEDERAL CAPTIAL TERRITORY, ABUJA, NIGERIA(DEPARTMENT OF ENVARONMENTAL MANAGEMENT, NASARAWA STATE UNIVERSITY KEFFI, 2019-04-08) Ibrahim, Fadila GarbaThe ever-rising population in the country leads to increase in housing demand. The need to meet this housing demand lead to increased housing developments. The aim of this study is to Assess the Housing Quality of the Housing Estates in Lokogoma district, Abuja Municipal Area Council, Abuja. Both Primary and Secondary sources of data were used for data collection to determine the Housing Quality of the housing estates in Lokogoma district. Fourty four (44) copies of questionnaires were distributed through systematic random sampling among various estates in Lokogoma District. The study employed descriptive and inferential statistics to analyse the data. The data obtained from the structured questions in the questionnaire was coded, classified under different variables and entries made into Statistical Package for Social Science (SPSS version 22). The analysis indicates that the Environmental Indicators and Housing Quality characteristics shows that the Impact of the houses on Ecosystem does not significantly influence the presence of Environmental Hazard, since the corresponding p-value (0.259) is greater than 0.5. Presence of environmental hazards significantly influence the eco system, use of sustainable building materials and the local built environment. On the other hand, presence of environmental hazards does not significantly influence the eco friendliness of the house with corresponding p-value (0.106) that is greater than 0.05. From Economic Indicators, it shows that Annual Government Revenue/Tax significantly influences Housing Affordability since the p-value (0.000) is less than 0.05 (5%) hence, the null hypothesis is rejected at 5% level of significance. From Social Indicators, it indicates that Safety and Security significantly influence access to both Educational and Health Facilities since the p-value (.000) is less than 5% hence, the null hypothesis is rejected at 5% level of significance. On the basis of the findings, it is recommended that; affordable housing should be made a priority by incorporating holistic and inclusive urban planning, sustainable housing should be incorporated in the housing process by using solar energy as a power source, building more eco-friendly houses, review of Environmental Policies, Building Codes and Bye-Laws to include Sustainable Development goals so as to achieve sustainability in housing, among others.