DefinePK

Abstract

In order to find out how demographic characteristics predict adjustment among renters, a cross-sectional study method was used.  A total of 200 tenants were selected from some cities of Punjab, Pakistan. People living in private rental homes made up the research population.  Adults in charge of handling family finances, residing in rental homes for a period of three months to two years, and not being eligible for government housing assistance were the inclusion criteria. Homeowners, people living in government-provided rental housing and teenagers were not included.  Participants were chosen using a purposive sample technique, which was based on their eligibility and relevance to the study's goals.  By employing this technique, the researcher was able to specifically choose participants who could offer insightful information about their experiences adjusting to rental housing. Demographic information form and Scale of Adjustment for Adults (SAA) were administered for data collection. The statistical operations involved were descriptive statistics and neural network. The number of movement by rented population (100% normalized importance) was the most significant predictor of adjustment among renters, followed by monthly income (98.4%), marital status (76.2%), family members (66.3%), residential area (23.4%), gender (20.7%), and family system (5.6%). It conclude that housing stability and financial resources were the strongest predictors of adjustment among renters, with frequent home moves and lower income leading to greater difficulties in adaptation. Marital status and family size also play a significant role, whereas family structure, gender, and residential area exert minimal influence.