Housing Type Research Articles

A Study on Socio-economic Status of Fishers in Khammam District of Telangana, India

This study typically aims at analyzing the socio-economic condition of fishers in Khammam district of Telangana. The study was held in Khammam district of Telangana. In Khammam district top 5 mandals with highest fish production was selected for the study. The study lasts from April-May 2024. A multi-stage random sampling technique was selected for the study with sampling population of 120 beneficiaries. A well-structured pretested interview schedule was prepared that includes educational status, fisheries experience, type of family, type of house and sources of income etc. The socio-economic parameters were selected from previous literature. Based on response given by respondents, the data was analyzed and conclusive results were drawn. Most respondents have a high school education (48.33%) and fall within the 35-50 years age group (61.66%). The majority belong to the OBC category (85.83%) and live in nuclear families (95.00%) with pucca houses (84.16%). Fisheries is the primary occupation for 55.83% of respondents, while 44.16% have no secondary occupation. Landholding is predominantly marginal or small, with 55.83% holding no land. The main crops grown are paddy, cotton, and chili, with fisheries being the primary income source, complemented by agriculture and off-farm activities. It can be concluded that the majority of fishers are well-integrated into the fisheries sector, with limited landholdings and minimal secondary occupations. Educational attainment is concentrated at the high school level, and most participants belong to the OBC category. Income was primarily derived from fisheries, with some involvement in agriculture and off-farm activities.

The Follow up of the Anxiety Levels of Elderlies During the 'COVID-19' Pandemic: A Prospective Primary Care Study

Abstract Background and Objectives: The COVID-19 outbreak became the first pandemic caused by coronaviruses. As the epidemic spread rate gradually increased in Turkey, curfews were imposed on individuals aged 65 and over. We thought that both the pandemic and the curfew caused anxiety in the elderly. This study investigated the prevalence of anxiety in the elderly and the follow up of the axiety level during curfew. Other purpose of the study was to determine the factors affecting anxiety. Method: We evaluated older people’s anxiety status with an interval of 15 days and 6 months during the pandemic by using Geriatric anxiety scale. People aged 65 and over among the enrolled population of the FHC were contacted by telephone. Results: The mean scores of the first Geriatric anxiety scale were 1.0 ± 2.4, second score applied at the 15th days was 0.5 ± 2.1, the third score applied at the sixth month was 0.3 ± 1.8. There was a significant difference between the three measurements (p = 0.002). Conclusions: Total anxiety scores of our sample were low and there was a significant difference between the three measurements performed 15th days and sixth month was a decrease in anxiety. Gender, education level, living alone, house type was found related with changes in anxiety.

Detection of Gastrointestinal Pathogens with Zoonotic Potential in Horses Used in Free-Riding Activities during a Countrywide Study in Greece.

The objectives of this study were (a) to detect zoonotic gastrointestinal pathogens in faecal samples of horses using the FilmArray® GI Panel and (b) to identify variables potentially associated with their presence. Faecal samples collected from 224 horses obtained during a countrywide study in Greece were tested by means of the BioFire® FilmArray® Gastrointestinal (GI) Panel, which uses multiplex-PCR technology for the detection of 22 pathogens. Gastrointestinal pathogens were detected in the faecal samples obtained from 97 horses (43.3%). Zoonotic pathogens were detected more frequently in samples from horses in courtyard housing (56.0%) than in samples from horses in other housing types (39.7%) (p = 0.040). The most frequently detected zoonotic pathogens were enteropathogenic Escherichia coli (19.2% of horses) and Shiga-like toxin-producing E. coli stx1/stx2 (13.8%). During multivariable analysis, two variables emerged as significant predictors for the outcome 'detection of at least one zoonotic pathogen in the faecal sample from an animal': (a) the decreasing age of horses (p = 0.0001) and (b) the presence of livestock at the same premises as the horses (p = 0.013). As a significant predictor for the outcome 'detection of two zoonotic pathogens concurrently in the faecal sample from an animal', only the season of sampling of animals (autumn) emerged as significant in the multivariable analysis (p = 0.049). The results indicated a diversity of gastrointestinal pathogens with zoonotic potential in horses and provided evidence for predictors for the infections; also, they can serve to inform horse owners and handlers regarding the possible risk of transmission of pathogens with zoonotic potential. In addition, our findings highlight the importance of continuous surveillance for zoonotic pathogens in domestic animals.

Optimizing the Integration of Building Materials, Energy Consumption, and Economic Factors in Rural Houses of Cold Regions: A Pathway

Limited material options and economic conditions significantly restrict the potential for energy efficiency improvements in rural houses in China’s cold regions. It is worth exploring how to propose suitable energy-saving renovation plans for rural houses in cold regions under practical constraints. By using Grasshopper within Rhinoceros 8 software, an algorithm integrates material selection, energy consumption calculations, and economic analysis. The method efficiently generates thermal optimization schemes, providing insights into energy use, costs, and payback periods. In a case study of a typical rural house in Daqing City, the optimized scheme achieved over 70% energy savings compared to traditional homes, with renovation costs amounting to less than 40% of residents’ annual income and a 2-year payback period. This significant improvement highlights the potential of the proposed method in enhancing the energy efficiency and economic viability of rural house renovations.

Environmental Risk Factors for Visceral Leishmaniasis: An Analysis of Housing Types and Behavioral Factors in Baringo County, Kenya.

Visceral leishmaniasis (VL) is endemic in Baringo County, Kenya, and contributes significantly to the burden of disease in the region. Housing structures and other environmental risk factors contribute to transmission dynamics, but these have not been specifically studied in Baringo. The aim of this study was to increase understanding of VL transmission in the region through determining relationships between VL infection, housing, and other environmental factors. Data collection occurred from February 1 to May 31, 2023 at Chemolingot Sub-County Hospital and patients' homesteads via questionnaires of primary VL patients being treated and VL follow-up patients who were still residing in the same house as when the infection occurred. Factors assessed were housing structures, proximity to vector breeding and resting sites, and prevention and control measure practices. A baseline assessment of housing types was conducted through direct ethnographic observation and used in the analysis. Forty-one patients were included in the study. A χ2 analysis and Fisher's test were used to determine association between VL infection and housing materials, where VL patient housing data were compared with the regional baseline assessment. Significant associations with VL infection were found between mud and stick walls (P <0.001); mud walls (P <0.001); mud, stick, and grass combination walls (P = 0.02); and stick and grass walls (P <0.001). Behavior comparison showed that most VL-protective behaviors were practiced by follow-up patients after infection. Results showed an increased need for VL prevention focusing on environmental factors.

Determinants of livelihood vulnerability to climate change among the agrarian community: Empirical evidence from the coastal region of Indian Sundarban Biosphere Reserve

The impacts of climate change on the livelihood of agrarian households on the coast of the Indian Sundaraban Biosphere Reserve have not been addressed. Thus, it is important to identify the underlying factors for livelihood vulnerability in this region and know how climate change-related events and socio-economic conditions affect them. This work aimed to measure six major domains of livelihood vulnerability, such as overall livelihood loss, livestock loss, crop and crop area loss, fishing area loss, housing loss, and income loss. I selected the ordered probit regression and focus group discussion approaches. Results revealed that the significant determinant factors of livelihood vulnerability were early warning system, education, land holding size, social group, type of house, occupation, distance to the local market and health centre, membership of self-help group, agreement with summer temperature increased, cyclone increased, flood increased, drought in Kharif season increased. In this region, several agrarian households have taken some adaptation measures such as changing crop varieties, crop diversification, converting agriculture to fishery, and saline tolerant varieties. This approach is adaptable and can be put into practice on different levels, not just in other parts of India but also in diverse developing countries.

Proposal for zero energy housing designs in Jordan

BackgroundAchieving zero-energy targets in residential buildings is challenging due to improper energy design and the selection of energy-related systems. Moreover, the absence of benchmarks for zero-energy residential buildings, along with the scarcity of studies tailored to diverse climates and building characteristics, highlights the urgent need for further research. This study aimed to address these gaps by designing zero-energy buildings to suit diverse climate zones in Jordan, acting as benchmarks to enhance energy efficiency and promote renewable energy use in the residential sector.MethodsEnergy simulation tools were employed to design and verify zero-energy systems. The energy use intensity (EUI) results from the IDA ICE tool were compared with the reported targets and OpenStudio tool outcomes, ensuring that deviations among the proposed designs within the same climate zone consistently remained within acceptable limits, averaging 2, 1, and 1 kWh/m2 year in 1B (very hot dry), 2B (hot dry), and 3B (warm dry), respectively. Additionally, an economic evaluation was conducted by comparing the cost estimates of a Jordanian code-compliant house and the most acceptable proposed zero-energy design.ResultsThe proposed designs exhibited average EUI values of 64.4, 64, and 60 kWh/m2 in diverse climate zones. Outperforming typical Jordanian houses by 56%, 55%, and 60% in 1B, 2B, and 3B, respectively, these designs surpassed national and international benchmarks by at least 35%. Notably, the proposed zero-energy designs achieved substantial cost savings of 1938 USD, equivalent to 11 USD per square meter, throughout the construction phase.ConclusionsConsidering Jordan’s ambitious energy strategy for 2030 and the significant energy consumption in the residential sector, the proposed zero-energy building designs play a crucial role in advancing the national transition towards zero-energy buildings. This study provides valuable insights by presenting precise designs, benchmarks, and a comprehensive guide tailored to Jordan’s distinctive building and climate characteristics with potential applications beyond its immediate context.

Guideline towards sustainable infrastructure in new urban communities – Egypt

The challenges related to sanitation and water management in new urban communities have contributed to the emergence of visions of Integrated Urban Water Management (IUWM) and Water Sensitive Urban Design in cities worldwide to keep pace with these subtle changes in the shape of the urban environment. This research paper aims to monitor the main obstacles and challenges facing residents of new cities in Egypt and the environmental impacts resulting from those challenges in the urban context. A questionnaire was conducted among a group of the population. This study took the economic housing model for low-income people in the 6th of October City in Egypt as a case study. As a result, the study found that the main challenges facing the residents of these areas and their impacts are:1) Lack of regular maintenance. 2) Health risks to the population. 3) Damaging of public parks and gardens. 4) Pollution of the surrounding environment, including soil and water. 5) Lack of state funding for maintenance and Limited financial resources available for projects in this type of housing. 6) Lack of government engagement in preparing programs to raise population awareness and clarity in environmental goals and quality of life policies. 7) Lack of community initiatives to participate in decision-making. 8) Lack of political guidance on planning processes for sustainable infrastructure.

Abstract MP20: Leveraging Electronic Health Records to Assess Neighborhood Advantages and Risk of Cardiovascular Outcomes Among Hypertensive Patients

Introduction: Hypertension disproportionately impacts socially disadvantaged groups in the U.S. with increasing prevalence and suboptimal control rates. Our study aims to examine the association between neighborhood-level social vulnerability and hypertension outcomes using electronic health record (EHR) data from a large regional health system. Methods: We conducted a retrospective analysis of EHR data from the Sentara Health System, covering the period from January 1st, 2010, to December 31st, 2022. We assigned a Social Vulnerability Index (SVI) based on the residential census tract of each patient and established a longitudinal cohort of patients who consistently utilized healthcare services. To be included in the study, patients were required to have a minimum of five years of observational time and to have healthcare visits in at least 50% of the observed years. The study focused on patients diagnosed with hypertension—either through a hypertension diagnosis, a blood pressure measurement exceeding 140/90, or antihypertensive medication prescriptions. We utilized multivariate Cox Proportional Hazards models to analyze the associations of SVI with cardiovascular outcomes and blood pressure control (&lt;140/90 mmHg). Results: The longitudinal cohort consisted of 55,060 patients, with an average age of 54 years (Interquartile range: 42-65), 30.0% of whom were Black adults and 60.0% were females. Compared to patients residing in the most advantaged neighborhoods (quartile 1 of SVI), those in more disadvantaged neighborhoods (quartiles 2, 3, and 4) had hazard ratios for composite cardiovascular endpoint (myocardial infarction, heart failure, and stroke) of 1.22 (95% CI, 1.19-1.25), 1.40 (95% CI, 1.37-1.44), and 1.64 (95% CI, 1.60-1.68), respectively, after adjustment for age and sex. Additionally, blood pressure control was significantly lower in higher SVI quartiles, with control rates in quartiles 1 through 4 at 78.4%, 76.5%, 75.2%, and 72.8%, respectively (P&lt;0.001). Among the SVI themes, socioeconomic status (theme 1) and housing type and transportation (theme 4) were associated with the highest hazard ratios for cardiovascular outcomes. Conclusions: Neighborhood-level social vulnerability is significantly associated with worse hypertension control and adverse cardiovascular outcomes. Health systems can employ tailored interventions targeting high-risk neighborhoods to reduce disparities and enhance health outcomes for vulnerable populations.

Moderators of movement behaviour changes among Canadian toddlers and preschoolers throughout the first 2 years of the COVID-19 pandemic.

Primary objectives were to examine: (1) changes in movement behaviours (i.e., outdoor play (OP), organized physical activity (PA), screen time (ST), sleep) across the first 2 years of coronavirus disease-2019 (COVID-19) among Canadian toddlers and preschoolers, and (2) intrapersonal, interpersonal, community, and policy moderators of change in movement behaviors. Participants were 341 Canadian parents of children (start of study: 1-4 years; 48% female). Participants completed online questionnaires regarding their children's movement behaviours and intrapersonal, interpersonal, and community factors at five time-points before and throughout the pandemic (T1-T5). Data from government websites were also used for some community and policy factors. Linear mixed models were conducted. Compared to pre-COVID-19 (T1): OP was on average 30 min/day higher at T2 and T3; organized PA was on average 62, 44, and 37 min/day lower at T2, T3, and T4, respectively; ST was on average 67, 17, 38, and 52 min/day higher at T2, T3, T4, and T5, respectively; and sleep was on average 30, 36, and 82 min/day lower at T3, T4, and T5, respectively. Significant moderating variables were observed for OP (parental education, parental work inside home, COVID-19 restriction severity), organized PA (children's sex, started kindergarten, nonparental care, parental education, household income, parental employment status, house type, indoor home space and support for PA), ST (nonparental care, parental marital status) and sleep (children's T1 age group, started kindergarten, parental place of birth, parental employment status). All movement behaviors changed across the first 2 years of COVID-19 but patterns and moderators were behaviour-specific. Children from lower socioeconomic status families had the least optimal patterns.

An exploration of live–work housing conditions of low-income older people in Bangkok, Thailand

ABSTRACT This article explores live–work housing conditions for low-income older residents in an informal settlement in Bangkok called Klong Toey (KT) via interviews with 12 participants. The aim is to understand the housing and livelihood situation of older low-income inhabitants of KT, to assess the suitability of their physical environment and areas that could be improved to enable it to serve as live–work housing and to facilitate aging in place, and to inform future work. Participants were asked about the housing conditions in KT and their impact on residents; types of housing for older people in KT; design guidelines for live–work housing; and any lessons from other low-income housing projects. The study used content analysis to examine the interview transcripts. Four organizing themes were used to analyze the responses: housing conditions and relation to live–work; situation and requirements of older people’s housing; live–work housing design guidelines; and solutions to older people’s live–work housing. Finally, four global conceptual domains of live–work housing were constructed from mapping the basic themes. The global conceptual domains include “space,” “livelihood,” “support,” and “services” that are essential to the provision of live–work housing in KT.

"A Different Kind of Hardship": Landscapes of Japanese American Resettlement During World War II

abstract: At the beginning of World War II, the United States illegally imprisoned 120,000 Japanese Americans and placed them in concentration camps for the duration of the war. What is less known about the incarceration is that more than one-quarter of the camp population, or approximately thirty-five thousand individuals, was encouraged to leave the camps and relocate to rural communities, small towns, and cities largely in the Mountain West, Midwest, and East Coast. This article focuses on the living conditions and experiences of Japanese Americans during this wartime resettlement period as they adjusted to life outside the camps and encountered a wide range of housing types, including tent camps, rooming houses, college dormitories, hostels, and, often, crowded and substandard apartments located in urban areas. Many Japanese Americans faced numerous challenges in these new environments, notably a discriminatory real estate industry and limited job opportunities. This discussion of the physical landscapes encountered during the resettlement period helps provide a more complete and richer understanding of the imprisonment of Japanese Americans during the war.

Predicting Student Dropout Rates Using Supervised Machine Learning: Insights from the 2022 National Education Accessibility Survey in Somaliland

High student dropout rates are a critical issue in Somaliland, significantly impeding educational progress and socioeconomic development. This study leveraged data from the 2022 National Education Accessibility Survey (NEAS) to predict student dropout rates using supervised machine learning techniques. Various algorithms, including logistic regression (LR), probit regression (PR), naïve Bayes (NB), decision tree (DT), random forest (RF), support vector machine (SVM), and K-nearest neighbors (KNN), were employed to analyze the survey data. The analysis revealed school dropout rate of 12.67%. Key predictors of dropout included student’s grade, age, school type, household income, and type of housing. Logistic regression and probit regression models highlighted age and student’s grade as critical predictors, while naïve Bayes and random forest models underscored the significance of household income and housing type. Among the models, random forest demonstrated the highest accuracy at 95.00%, indicating its effectiveness in predicting dropout rates. The findings from this study provide valuable insights for educational policymakers and stakeholders in Somaliland. By identifying and understanding the key factors influencing dropout rates, targeted interventions can be designed to enhance student retention and improve educational outcomes. The dominant role of demographic and educational factors, particularly age and student’s grade, underscores the necessity for focused strategies to reduce dropout rates and promote inclusive education in Somaliland.

Influence of unheated rooms on thermal comfort and energy efficiency of adjacent premises

AbstractThe research was conducted for three types of houses, including a panel house built before 1991, a brick house built in 2006, and a brick house built in 2022. It was established that the temperature difference, which is decisive when assessing the sanitary and hygienic condition of the premises, does not exceed the normative values for buildings built after 2006. In the building since 1991, the sanitary and hygienic indicators of the heated room deteriorate when the outside air temperature drops below −3 °C. At the same time, the fulfillment of the first condition of comfort in the room occurs at indoor air temperatures higher than the standard value, therefore, under the calculated conditions, residents feel discomfort when staying in such a room.

Flood damage models and flood damage factors in a data-scarce river basin, Nigeria

ABSTRACT To evaluate the effectiveness of various adaptation strategies, it is critical to develop a flood damage function that considers building characteristics for future risk evaluation. This study analysed the contributions of some important flood and household characteristics in flood damage processes and developed a new, more accurate, multi-variable flood loss model for flood damage assessment for residential buildings and contents, considering different house types in Ogun River Basin, Nigeria. A detailed household questionnaire survey was conducted to collect data (149 samples). Depth-damage functions were developed to estimate direct flood damage to building structures and contents using the nonlinear logistic and power (concave) models, and the model parameters were estimated using the Gauss–Newton algorithm. The performance of all flood damage regression analysis functions for building structures and building contents under different construction materials and basement floors was evaluated by comparing predicted damages and after-flood survey damages, which demonstrated acceptable comparativeness. In the event of a flood disaster in the area, the models can be used to forecast future damages and devise risk-mitigation strategies. The study’s findings will aid in developing flood protection adaptation measures.

Socio-spatial segregation in residents’ daily life: A longitudinal study in Beijing

Segregation studies based on human activity spaces have attracted increasing interest in urban geography and planning. Previously, most research employed variations in the geographical features of individuals' physical activity areas to ascertain social group segregation. A few studies have examined segregation based on one's activity space, comparing this over several years. This research conducts an empirical analysis based on people's activity space in Beijing to detect changes in segregation over time. We investigate activity space-based segregation among Beijing residents, separated into four housing categories for inner-city and suburban areas. The primary outcomes show residents living in different types of housing experience varying degrees of segregation when considering their activity spaces, which has progressed over the years. Furthermore, the findings show that the impact of changes in the built environment on the socio-spatial segregation of residents is gradually deepening, while the impact of institutional contexts such as danwei is gradually decreasing. In summary, this paper provides Beijing-based empirical evidence for this housing type differentiation and increasing segregation, which helps to enrich the understanding of activity space-based socio-spatial segregation of urban residents in China.

Housing status is protective of neuropsychiatric symptoms among dementia-free multi-ethnic Asian elderly

BackgroundHousing has been associated with dementia risk and disability, but associations of housing with differential patterns of neuropsychiatric symptoms (NPS) among dementia-free older adults remain to be explored. The present study sought to explore the contribution of housing status on NPS and subsyndromes associated with cognitive dysfunction in community-dwelling dementia-free elderly in Singapore.MethodsA total of 839 dementia-free elderly from the Epidemiology of Dementia in Singapore (EDIS) study aged ≥ 60 were enrolled in the current study. All participants underwent clinical, cognitive, and neuropsychiatric inventory (NPI) assessments. The housing status was divided into three categories according to housing type. Cognitive function was measured by a comprehensive neuropsychological battery. The NPS were assessed using 12-term NPI and were grouped into four clinical subsyndromes: psychosis, hyperactivity, affective, and apathy. Associations of housing with composite and domain-specific Z-scores, as well as NPI scores, were assessed using generalized linear models (GLM). Binary logistic regression models analysed the association of housing with the presence of NPS and significant NPS (NPI total scores ≥ 4).ResultsBetter housing status (5-room executive apartments, condominium, or private housing) was associated with better NPS (OR = 0.49, 95%CI = 0.24 to 0.98, P < 0.05) and significant NPS profile (OR = 0.20, 95%CI = 0.08 to 0.46, P < 0.01), after controlling for demographics, risk factors, and cognitive performance. Compared with those living in 1–2 room apartments, older adults in better housing had lower total NPI scores (β=-0.50, 95%CI=-0.95 to -0.04, P = 0.032) and lower psychosis scores (β=-0.36, 95%CI=-0.66 to -0.05, P = 0.025), after controlling for socioeconomic status (SES) indexes. Subgroup analysis indicated a significant correlation between housing type and NPS in females, those of Malay ethnicity, the more educated, those with lower income, and those diagnosed with cognitive impairment, no dementia (CIND).ConclusionsOur study showed a protective effect of better housing arrangements on NPS, especially psychosis in a multi-ethnic Asian geriatric population without dementia. The protective effect of housing on NPS was independent of SES and might have other pathogenic mechanisms. Improving housing could be an effective way to prevent neuropsychiatric disturbance among the elderly.

Structural visualization analysis applied to the preservation of architectural heritage: the case of stilted houses in southwest Hubei, China

Wooden buildings represent a unique aspect of China’s architectural heritage. However, over time, these buildings have suffered varying degrees of structural damage, particularly those located in China’s mountainous regions. Frequent natural disasters and inconvenient transportation further exacerbate the vulnerability of these structures. This study focuses on the typical wooden stilt houses found in the Wuling Mountain area of southwest Hubei. The different forms of columns and beams, as well as the overall structural symmetry of the stilt houses, were classified into five common structural types. Precise digital models were established via real photos and collected dimensional data, and these five models were evaluated for static, buckling, utilization, and ultimate limit states. The results indicate that: (1) overall symmetrical structures perform better than asymmetrical ones; (2) structures where all columns are grounded and act as support columns exhibit the best overall mechanical performance; and (3) transverse-tie beams(chuanfang) primarily serve a connecting role rather than a load-bearing role, thus an excess of transverse-tie beams(chuanfang) can reduce the stability of the building structure. Based on the analysis results, targeted protective measures and recommendations were proposed and verified through structural evaluations. These initiatives provide new methods and insights for the protection of architectural heritage.

Determinants of bicycle ownership and use: A case study of apartment residents in Melbourne, Australia

Cycling can offer a range of benefits for individuals and society, yet factors influencing bicycle ownership and use are not well understood, particularly among apartment residents where the provision of bicycle parking is stipulated by planning requirements. A survey of 480 apartment residents was undertaken in Melbourne, Australia, with results analysed using descriptive statistics and logistic regression modelling. Results show that households owned 0.86 bicycles on average, much higher than the current bicycle parking requirement of 0.2 spaces per household for new apartment developments. Additionally, 28% of respondents reported using a bicycle in the last week. Factors associated with bicycle ownership and use included various socio-demographics, attitudes, preferences, and built environment and transport characteristics. In general, these factors were far more extensive than previous studies that have considered all housing types together. Notably, the availability of off-street bicycle parking was found to increase the odds of an apartment household owning one bicycle, compared with none, by more than two times. The results imply that increasing bicycle ownership and use among apartment residents requires a multifaceted approach, including adequate bicycle parking requirements that vary both spatially and by apartment size, along with programs and events that can foster positive attitudes towards cycling.

Rental housing types and economic wellbeing in Canada

The aim of this article is to examine the association between different types of rental housing and household economic wellbeing. Its main objective is to better understand how the different types of assistance promoted by housing policies contribute to the reduction of material hardship among renter households. To achieve this objective, the study is based on the creation of an original typology designed to catch the different models of social and non-market housing that characterize the rental housing system in Canada. The research design it adopts controls for compositional effects linked to housing policy through a matching procedure that reduces the imbalance existing between households residing in social housing and the rest of the population. The analyses produced demonstrate the importance of promoting and maintaining social and non-market housing models that favour rent-geared-to-income housing, guarantee long-term affordability, and value public and co-operative tenure models.