Housing Type Research Articles

How to lose friends and alienate people: The social and political consequences of Europe’s housing crisis

This article identifies the shortage of affordable, secure housing as a key driver of political alienation, particularly among young people. The social consequences of this trend for this group include, but are not limited to, delayed independent living and family formation, declining mental health and diminishing belief in their ability to match the living standards of their parents. Increasingly vulnerable and insecure, many young people now link the issue of housing with inward migration. Left unresolved, this issue will further polarise (and radicalise) the political choices of younger generations in the years ahead. In response, this article proposes three immediate actions. First, a dramatic expansion of construction for all types of housing where excess demand exists. Second, the use of public money to ensure that housing options exist for people of all ages, social classes and income levels. Public money should not be utilised for schemes which ultimately inflate house prices further. Third, to tackle widening intergenerational inequalities, existing housing wealth must be taxed fairly.

ANALYSIS OF BUBBLES ASSETS FOR WEIGHTED AVERAGE INTEREST RATES APPLIED TO BANK LOANS

This study examines the existence of the "bubble effect" in the average interest rates of loans applied by banks to various types of loans for consumers. The purpose of this article is the research of the bubble formations in the average interest rates applied by the banks to consumer, housing (home), vehicle, and commercial loan types. This article examines the existence of bubbles in the average loan interest rates of banks in Turkey using the GSADF unit root test developed by Phillips et al. (2015). Bubble assets are analyzed with weekly data for the period June 2019–March 2023. Monte Carlo simulations performed obtained critical values for the GSADF unit root test. The results show that the bubble effect on housing loan interest rates is statistically significant at the 0.05 level. Against this, although the existence of a bubble effect in consumer, vehicle, and commercial loan interest rates has been determined, these bubbles are statistically insignificant.

Flood risk awareness and transportation mode choice in communities with varying flooding frequencies: The cases of Bozkurt, Kastamonu, Turkey and Malanday, Marikina, Philippines

This study investigates the post-flood transportation mode choices (TMC) of communities exposed to floods of varying frequencies, focusing on Bozkurt, Turkey, recently afflicted by a major flood, and Malanday, Philippines, which endures an average of 10 floods annually. The study considers 17 factors affecting TMC, including age, occupation, income, housing type, flood experience, education level, changes in travel time, primary transportation mode, duration of residence, gender, marital status, relocation status, personal losses, disruption of daily activities, time to return to routine, satisfaction with road maintenance, and satisfaction with flood measures. Data were collected through surveys and analysed using regression analysis.The findings indicate that personal and cultural characteristics, and flood frequency, have limited effects on TMC. The most impactful factors on post-flood TMC are changes in travel time (42.11 %), personal losses (23.75 %), and satisfaction with road maintenance (11.30 %). The study demonstrates that flood risk awareness is directly related to education level and flood experience. In Malanday, where 84 % of the population are university or high school graduates, floods are regarded as routine events. In contrast, in Bozkurt, where only 37 % have similar education levels, the community experienced panic under flood conditions, adversely affecting decision-making processes.The research provides insights into how communities exposed to floods adjust their TMC, offering essential information for mitigating flood risks and increasing flood awareness. Moreover, the findings deliver suggestive information for local governments and planners in developing more effective flood management and transportation planning strategies.

Making room for everyone

Over the past decade, Waterloo Region has experienced significant population growth and a resulting wave of housing construction, but house prices and rents have continued to rise. To tackle the broader housing crisis affecting Ontario and Canada, calls for increased housing construction have grown, but advocates often emphasize quantities of homes needed without considering housing type or household composition of populations in need. We analyze publicly available data to compare temporal and spatial trends in housing construction and population growth across Waterloo Region. We also assess housing indicators across household types and various socio-economic indicators to highlight groups deserving greater attention in community planning efforts. Based on our findings, we advocate including equity-based analysis in future housing and land needs assessments. We further discuss the potential for “missing middle” housing to address a wider variety of household needs and propose options for municipalities looking to support greater housing diversity.

Employment Quality and Migration Intentions: A New Perspective from China’s New-Generation Migrant Workers

This study explores the factors influencing the migration intentions of the new generation of migrant workers from the perspective of employment quality. Utilizing differential analysis, correlation analysis, and the Partial Least Squares Structural Equation Modeling (PLS-SEM) model, this study analyzes data on hukou transfer intention obtained through an exploratory questionnaire survey. The results indicate significant differences in migration intentions among new-generation migrant workers differentiated by job industry, job position, gender, household registration type, and housing type. Additionally, age, the number of local family members, and housing satisfaction are strongly correlated with migration intentions. Path analysis reveals that employment stability, income–expenditure match, and social integration significantly positively affect migration intentions. This research provides a unique perspective on employment quality and offers theoretical foundations for policies related to migrant workers’ hukou transfer intention.

LightGBM-, SHAP-, and Correlation-Matrix-Heatmap-Based Approaches for Analyzing Household Energy Data: Towards Electricity Self-Sufficient Houses

The rapidly growing global energy demand, environmental concerns, and the urgent need to reduce carbon footprints have made sustainable household energy consumption a critical priority. This study aims to analyze household energy data to predict the electricity self-sufficiency rate of households and extract meaningful insights that can enhance it. For this purpose, we use LightGBM (Light Gradient Boosting Machine)-, SHAP (SHapley Additive exPlanations)-, and correlation-heatmap-based approaches to analyze 12 months of energy and questionnaire survey data collected from over 200 smart houses in Kitakyushu, Japan. First, we use LightGBM to predict the ESSR of households and identify the key features that impact the prediction model. By using LightGBM, we demonstrated that the key features are the housing type, average monthly electricity bill, presence of floor heating system, average monthly gas bill, electricity tariff plan, electrical capacity, number of TVs, cooking equipment used, number of washing and drying machines, and the frequency of viewing home energy management systems (HEMSs). Furthermore, we adopted the LightGBM classifier with ℓ1 regularization to extract the most significant features and established a statistical correlation between these features and the electricity self-sufficiency rate. This LightGBM-based model can also predict the electricity self-sufficiency rate of households that did not participate in the questionnaire survey. The LightGBM-based model offers a global view of feature importance but lacks detailed explanations for individual predictions. For this purpose, we used SHAP analysis to identify the impact-wise order of key features that influence the electricity self-sufficiency rate (ESSR) and evaluated the contribution of each feature to the model’s predictions. A heatmap is also used to analyze the correlation among household variables and the ESSR. To evaluate the performance of the classification model, we used a confusion matrix showing a good F1 score of 0.90. The findings discussed in this article offer valuable insights for energy policymakers to achieve the objective of developing energy-self-sufficient houses.

Exploring the Opportunities and Gaps in the Transformation of Modern Rural Housing in Southern China to Net Zero Energy Buildings

This study explores modern residential buildings in rural areas of Wuhan and Guangzhou to assess the feasibility of achieving net zero energy buildings (NZEBs) through the transformation of existing buildings in southern China’s hot-summer–cold-winter and hot-summer–warm-winter regions. Energy simulations under various climatic scenarios identify effective energy-saving measures, such as the use of photovoltaic power generation. The results highlight substantial renovation potential, with energy reductions of approximately 85 kWh/m² (RCP2.6), 90 kWh/m² (RCP4.5), and 115 kWh/m² (RCP8.5). Living patterns significantly influence energy use, especially in buildings with more rooms, where the gaps in the energy demand with net zero standards can reach 560.56 kWh. At the monthly scale, different climate scenarios impact the feasibility of achieving NZEBs, particularly under RCP8.5, where eight rural housing types fail to meet the requirements, with six exceeding 200 kWh energy deficits and the largest energy deficit occurs in June 2090 in Guangzhou, reaching 592.53 kWh, while under RCP2.6, only two buildings with more rooms fail to meet NZE. In summary, in the hot-summer cold-winter region, the energy demand is higher but so is the solar yield. Therefore, under the most adverse RCP8.5 scenario, NZEBs are achievable for 9 months of the year, which is 2 months more compared to Guangzhou under similar conditions. Even after net zero transformation, new rural housing will face greater energy-saving challenges in future climatic conditions, especially under higher concentration pathways.

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.