This study examined the housing quality in Ede, Nigeria and the impacts of urbanization on environmental degeneration of urban built environment. A total of 388 housing units, consisting of 236, 78 and 74 units were drawn for sampling from the high, medium and low density areas of the study area, respectively. The secondary data involved available census data, official documents and other relevant secondary data were obtained from existing literature, on books and journals. The study established that majority (62.6%) of the respondents are female while 37.3% of the respondents are male in the study area. Findings established that 63.9% and 55.1% have no educational qualification and primary education in high and medium density areas respectively while in contrast majority (91.1%) in low density area have tertiary education in the study area. Findings also revealed that householdsize has a significant influence on the overall housing quality in the study area. The study concluded that it is imperative to check and prevent further decay for good living and working environment.

Purpose. The purpose of this study was to examine the factors that affect food shocks and how vulnerable are people to food shocks using Ife North Local Government Area of Osun State Nigeria as a case study. Methodology / approach. Data were collected from 150 households through multistage sampling from ten political wards in Ife North Local Government Area. Descriptive statistics was used to describe the socio-economic characteristics and profile food shocks experienced and identify the coping strategies employed among rural households in the study area. Results. The study revealed that majority of the household age range of between 40 to 59 (62.0 %), married (77.3 %). Also, majority of the respondent own their farm (85.3 %). The result shows that the shocks that are prevalent in the study area include high price of input (66.6 %), loss of close relatives (72.0 %), low agricultural production (64.6 %), pest and disease (66.6 %), hash economic time (54.0%), and Ill health (50%). The other shocks experienced having low prevalence among households are non-availability of labour (23.4 %), accident (32.0 %), flood (31.4%), and theft (35.4 %). Originality / scientific novelty. The age categorization of vulnerability to food insecurity indicates that household heads aged 80 and above are more vulnerable to food insecurity (0.7158) followed by those within age 21–39 (0.6895). Also, the distribution of household head by their educational level shows that the household that have no formal education (0.5123) are more vulnerable to food insecurity. Practical value / implications. The implication of this study is that Government should regulate price fluctuation of agricultural goods and inputs. The use of pesticides should be encouraged to prevent pests and disease prevalence. Also, agricultural credit should be made available to farmers.

No abstract