On the Choice Between Renting and Home-Ownership in the Housing Industry

2005 ◽  
Author(s):  
Michael C. I. Nwogugu
Keyword(s):  
Home Ownership ◽  
Housing Industry

FACTORS INFLUENCING HOME BUYERS’ PURCHASE DECISIONS IN KLANG VALLEY, MALAYSIA

2020 ◽  
Vol 7 (2) ◽  
pp. 77
Author(s):  
JieSheng Mang ◽  
Rozlin Zainal ◽  
Indera Syahrul Mat Radzuan
Keyword(s):  
Purchase Decision ◽  
Purchase Decisions ◽  
Structure Space ◽  
Factors Influencing ◽  
Klang Valley ◽  
Housing Industry ◽  
House Structure ◽  
Research Studies

Focusing on Klang Valley, this research studies the outcome of house purchase factors in Malaysia. This research identifies the house purchase factors that affect home buyers’ purchase decisions. The researcher collected data using SurveyMonkey by using a questionnaire to elicit the opinions of Klang Valley residents on housing purchase factors and purchase decision. The factors were evaluated and studied to identify their influence on home buyers’ purchase decision. Findings show that home buyers’ purchase decision are influenced by house structure, space, finance, location, and neighbourhood factors. The findings have laid a foundation for the housing industry to improve.

Home ownership in Saudi Arabia: Spatial Dimensions

2018 ◽  
Author(s):  
Asharaf Abdul Salam
Keyword(s):  
Saudi Arabia ◽  
Standard Deviation ◽  
Detailed Analysis ◽  
Statistical Methods ◽  
Home Ownership ◽  
Ownership Type ◽  
Chi Square ◽  
Spatial Dimensions ◽  
One Way Anova

<p>This paper undertakes a detailed analysis of 2010 Census Population and Household Tables (Final), to assess governorate wise variations in home ownership, type of living accommodations and housing infrastructure - material used for construction, electricity, water and sewage facilities.</p> <p>The data published by the Ministry of Economics and Planning in its “Population and Housing, 2010 Census” analyzed in detail using SPSS20, applying statistical methods such as, cross tabulations and chi-square; mean and standard deviation; and One-Way ANOVA. Governorates classified into small, medium and large, according to the number of Saudi persons, have been analyzed across 13 regions quantifying homeownership status. Further governorates are classified according to the percentage of owning homes in order to analyze the type of living accommodations, built up material of housing, source of electricity, water and sewage facilities. </p> <br>

Home ownership in Saudi Arabia: Spatial Dimensions

2018 ◽  
Author(s):  
Asharaf Abdul Salam
Keyword(s):  
Saudi Arabia ◽  
Standard Deviation ◽  
Detailed Analysis ◽  
Statistical Methods ◽  
Home Ownership ◽  
Ownership Type ◽  
Chi Square ◽  
Spatial Dimensions ◽  
One Way Anova

<p>This paper undertakes a detailed analysis of 2010 Census Population and Household Tables (Final), to assess governorate wise variations in home ownership, type of living accommodations and housing infrastructure - material used for construction, electricity, water and sewage facilities.</p> <p>The data published by the Ministry of Economics and Planning in its “Population and Housing, 2010 Census” analyzed in detail using SPSS20, applying statistical methods such as, cross tabulations and chi-square; mean and standard deviation; and One-Way ANOVA. Governorates classified into small, medium and large, according to the number of Saudi persons, have been analyzed across 13 regions quantifying homeownership status. Further governorates are classified according to the percentage of owning homes in order to analyze the type of living accommodations, built up material of housing, source of electricity, water and sewage facilities. </p> <br>

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