@article{MAKHILLERJ202014228439,
    title = {Assessment of Housing Quality in Osun State, Nigeria},
    journal = {Environmental Research Journal},
    volume = {14},
    number = {2},
    pages = {28-44},
    year = {2020},
    issn = {1994-5396},
    doi = {erj.2020.28.44},
    url = {https://makhillpublications.co/view-article.php?issn=1994-5396&doi=erj.2020.28.44},
    author = {Owolabi and},
    keywords = {quality,housing,Assessment,Ondo state,destiny,Nigeria},
    abstract = {This study focused on housing quality in
Osogbo local government with the aim to assess the
quality of residential housing in Osogbo local government
with a view of suggesting a sustainable housing quality
for the people therein. The study examined, housing
conditions in-house facilities situation as well as the
socio-economic status on housing quality among sample
respondents in Osogbo local government. Both primary
and secondary data were used. Quantitative as well as
qualitative analysis were done. A total number of 210
questionnaires were administered using multi-stage
sampling. Systematic random sampling was employed in
which the whole local government was stratified into
fifteen geo political wards namely; Ataoja "A", Ataoja
"B", Ataoja "C", Ataoja "D", Ataoja "E", Otun Jagun B,
Alagbaa, Are-Ago, Jagun "A", Jagun "B", Baba Kekere,
Otun Jagun "A", Eketa, Otun Balogun "A" and Ekerin,
according to the documented planning board records. Out
of these wards, twelve come under high density; two of
these wards are medium density while the remaining one
is low density. Therefore, six wards were selected at
random, to give every ward and buildings equal chance to
be selected. They are Ekerin, Ataoja "A", Ataoja "B",
Ataoja "D", Ataoja "E" and Baba Kekere, in each ward;
the first building was sampled at random while the
subsequent buildings were chosen systematically after
every 10th building. The study employed both descriptive
and inferential statistics for analysis. For instance, charts,
percentages, etc. were the descriptive statistics used while
inferential statistics such as Likert scale was used to
explain respondent’s perceptions of condition of houses
sampled in the study area. The result of the analysis, it
was shown and clear that the quality of housing in
Osogbo local government is not encouraging and this is
due to the low level of income been earned by the
inhabitants, the highest number of respondents falls
within the income is 31%. The study, therefore,
recommends the important way of improving housing quality in areas where there are dilapidated structures
may involve the use of housing micro-finance which
consist mainly of giving loans to low-income earners.
And also both the state and local government should
embark upon programmes that will encourage provision
of social facilities. This should include pipe-borne water,
public toilet facilities and effective waste disposal system.}
    }