Vehicle ownership has increased tremendously in Nigeria for the past decades. This study determined factors that influence vehicle ownership intending to develop a more appropriate basis for forecasting vehicle ownership in the country. Multiple linear regression technique was used to identify the factors that influence vehicle ownership using national data from secondary sources. The results showed that four socioeconomic factors, namely, gross domestic product, per capita income, fuel price, and literacy level, as well as one physical factor, namely, stock of public transport vehicles, have significant effects on vehicle ownership at .01 significance level. Vehicle ownership was 35.3 million in 2018. It will increase to 48.7, 66.2, and 76.1 million in 2030, 2040, and 2050, respectively. Consequently, the formulation of appropriate policy that will be useful for monitoring key parameters is germane for predicting vehicle ownership in the country.

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Scholars are polarized on the issue of the best approach for measuring housing affordability. This has generated a lack of consensus on the best method to adopt in measuring the concept. Consequently, this study is set-out to extend the literature on housing affordability by examining the public housing affordability for each income group in Nigeria using Abuja as a case study city. This study is aimed at providing the contextual framework for the redefinition of housing affordability based on the diversity of income. The housing cost approach was used to measure housing affordability, whereas the principal component analysis determined factors that caused the unaffordable housing market. The results showed that public housing was not affordable to low and medium-income earners. The unaffordable housing market for each of the three income groups was influenced by diverse factors. Consequently, public housing provision should consider the affordability of each income group. This is because factors that determine housing affordability are peculiar to each of the three income groups.

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