The Residential Crowding of Immigrants in Canada, 1971–2001

Haan, Michael

doi:10.1080/1369183x.2011.526772

Cited by 11 publications

(12 citation statements)

References 31 publications

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“…A prior study reported that the people of Murray, Kentucky and the Pacific had larger household sizes, and were more likely to experience overcrowding [ 4 ]. Unlike our findings, other studies reported more crowding among younger households than among older households [ 17 ].…”

Section: Discussioncontrasting

confidence: 99%

“…The proportions of HC observed among the poorest or first decile (24.3 vs. 15.0%), and the richest or 10th decile (3.5 vs. 2.0%) of the households our study were higher than in the 2013 census-based report from New Zealand [ 6 ]. A study in Canada reported 2–3 times more overcrowding in the lower wealth groups of households than in the higher wealth groups of households [ 17 ]. However, the extent of overcrowding observed in the lowest decile of the households in our study is likely to lead to physical, psychological, and social problems and therefore requires special attention.…”

Section: Discussionmentioning

confidence: 99%

“…Similarly, a higher average age of household members, was associated with more severe HC. Evidence has shown an inverse relationship between HC and income, meaning that more severe HC is associated with lower household income [ 17 ]. Generally, low socioeconomic status is related to high HC, and leads to health problems in households.…”

Section: Discussionmentioning

confidence: 99%

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Household Overcrowding in Iran, a Low-middle-income Country: How Major of a Public Health Concern Is It?

Hosseini

Samadi

Woldemichael

et al. 2021

J Prev Med Public Health

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Objectives Household overcrowding (HC) can contribute to both physical and mental disorders among the members of overcrowded households. This study aimed to measure the status of HC and its main determinants across the provinces of Iran. Methods Data from 39 864 households from the 2016 Iranian Household Income and Expenditures Survey were used in this study. The Equivalized Crowding Index (ECI) and HC index were applied to measure the overcrowding of households. Regression models were estimated to show the relationships between different variables and the ECI. Results The overall, urban, and rural prevalence of HC was 8.2%, 6.3%, and 10.1%, respectively. The highest prevalence of HC was found in Sistan and Baluchestan Province (28.7%), while the lowest was found in Guilan Province (1.8%). The number of men in the household, rural residency, the average age of household members, yearly income, and the household wealth index were identified as the main determinants of the ECI and HC. Conclusions The study demonstrated that the ECI and HC were higher in regions near the borders of Iran than in other regions. Therefore, health promotion and empowerment strategies are required to avoid the negative consequences of HC, and screening programs are needed to identify at-risk families.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Household Overcrowding in Iran, a Low-middle-income Country: How Major of a Public Health Concern Is It?

Hosseini

Samadi

Woldemichael

et al. 2021

J Prev Med Public Health

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“…Of course, the dominant housing narrative in Canada, as in many Western countries, that sees densely occupied dwellings as a sign of low socioeconomic status also feeds into this desire. As with Haan's (2010) study, there is evidence to suggest that some of our participants live in 'overcrowded' housing for strategic reasons-notably, to save money to enhance their housing outcomes in the future. And, as Murdie (2003) alerted us, whether a particular housing is 'suitable' or even 'overcrowded' depends on one's cultural lens and expectations.…”

Section: Resultsmentioning

confidence: 84%

Cultural Dimensions of African Immigrant Housing in Toronto: A Qualitative Insight

Mensah

Williams

2013

Housing Studies

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This qualitative study examines the lived experiences of Ghanaians and Somalis in Toronto, highlighting the multifaceted interplays between their cultures, housing problems, and coping strategies. We found that, unlike the situation in their homelands where many were involved in communal living out of desire, in Toronto many are driven to live communally for reasons of cost. Also, some respondents have to either improvise, or totally forgo, various culinary practices because of the ways homes are designed in Toronto. Perhaps, no other cultural attribute was found to be more consequential in the housing decisions of our respondents than their religion; not only did it influence their choice of neighborhood and whether or not their internal living arrangements were gendered, but it also had some bearing on the acquisition of interest-laden loans for housing among many Somalis.

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“…In the USA, increasing in overcrowding rate was reported in most of counties. Another noteworthy fact is that residential crowding rate is greater among nonwhite, ethnic minorities and districts where immigrant population is living [26].…”

Section: Introductionmentioning

confidence: 99%

Spatial Modeling of Residential Crowding in Alexandria Governorate, Egypt: A Geographically Weighted Regression (GWR) Technique

Mansour¹

2015

JGIS

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Despite growing research for residential crowding effects on housing market and public health perspectives, relatively little attention has been paid to explore and model spatial patterns of residential crowding over space. This paper focuses upon analyzing the spatial relationships between residential crowding and socio-demographic variables in Alexandria neighborhoods, Egypt. Global and local geo-statistical techniques were employed within GIS-based platform to identify spatial variations of residential crowding determinates. The global ordinary least squares (OLS) model assumes homogeneity of relationships between response variable and explanatory variables across the study area. Consequently, it fails to account for heterogeneity of spatial relationships. Local model known as a geographically weighted regression (GWR) was also employed using the same response variable and explanatory variables to capture spatial non-stationary of residential crowding. A comparison of the outputs of both models indicated that OLS explained 74 percent of residential crowding variations while GWR model explained 79 percent. The GWR improved strength of the model and provided a better goodness of fit than OLS. In addition, the findings of this analysis revealed that residential crowding was significantly associated with different structural measures particularly social characteristics of household such as higher education and illiteracy. Similarly, population size of neighborhood and number of dwelling rooms were found to have direct impacts on residential crowding rate. The spatial relationship of these measures distinctly varies over the study area.

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The Residential Crowding of Immigrants in Canada, 1971–2001

Cited by 11 publications

References 31 publications

Household Overcrowding in Iran, a Low-middle-income Country: How Major of a Public Health Concern Is It?

Household Overcrowding in Iran, a Low-middle-income Country: How Major of a Public Health Concern Is It?

Cultural Dimensions of African Immigrant Housing in Toronto: A Qualitative Insight

Spatial Modeling of Residential Crowding in Alexandria Governorate, Egypt: A Geographically Weighted Regression (GWR) Technique

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