@article{(Open Science Index):https://publications.waset.org/pdf/16844,
	  title     = {Identification of Slum Areas for Improvement Inputs in Lafia Town, Nasarawa State},
	  author    = {Bashayi Obadiah and  Barau Daniel},
	  country	= {},
	  institution	= {},
	  abstract     = {One of the United Nations Millennium Development targets is to 'achieve significant improvement in lives of at least 100 million slum dwellers, by 2020'. To monitor progress on this target a first step is to develop an operational definition to identify slum settlements. The indicators selected are: access to water and sanitation, sufficient living area, a house with durable material on a non-hazardous location and with tenure security. This paper describes the techniques of identifying slums and applied the techniques in identifying slum in Lafia town. The methodology used was selection of one district in Lafia town for this study and the district was zoned into four units. The total of 10% sample size out of 2,482 households of 250 questionnaires was administered using systematic sampling method based on proportion of houses at each zones as 90, 70, 40 and 50 respectively. The result shows that the area is a second order degeneration that needs a major improvement. Recommendations were made in this regard for urgent intervention in improving or upgrading of housing and infrastructural facilities
},
	    journal   = {International Journal of Humanities and Social Sciences},
	  volume    = {7},
	  number    = {3},
	  year      = {2013},
	  pages     = {794 - 800},
	  ee        = {https://publications.waset.org/pdf/16844},
	  url   	= {https://publications.waset.org/vol/75},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 75, 2013},
	}