This dataset shows the number of Mean Monthly Household Gross Income of top 20%, middle 40% and bottom 40% of households by strata, 2002 - 2019, Malaysia. Source : DEPARTMENT OF STATISTICS MALAYSIA No. of Views : 400

In Malaysia, the income groups are divided into bottom 40 percent, middle 40 percent, and top 20 percent. In 2020, there were more than **** million Malaysian households in each of the B40 and M40 income groups, while **** million belonged to the T20 income group.

Characteristics of respondents according to predisposing, enabling and need factors (N = 294).

Predictors of MHSU using multiple logistic regression analysis (N = 294).

BackgroundPublic primary healthcare workers (HCWs) face various psychosocial risks at workplace that can impact their mental health. However, little is known about their mental health service utilisation (MHSU). This study aimed to determine prevalence and predictors of MHSU among public primary HCWs in Negeri Sembilan, using Anderson Behavioural Model of Health Service Use.MethodsA cross-sectional study was conducted from December 2022 to April 2023, using a valid and reliable self-administered six sections questionnaire consisting of; (i) sociodemographic, (ii) work-related factors, (iii) MHSU, (iv) perception of stigmatisation by others, (v) enabling factors, and (vi) need factors. Respondents were selected through proportionate stratified random sampling based on job categories. Multiple Logistic Regression using SPSS version 26 was used to determine the predictors of MHSU.ResultsA total of 294 respondents participated in this study, with a response rate of 83.5%. The 12-months MHSU prevalence was 45.6%. Mental health services were predominantly utilised for screening (96.3%) and treatment purposes (28.4%), primarily accessed through health clinics (85.1%), and interaction with paramedics (44.0%) and medical officers (38.8%). Significant drivers predicting MHSU were B40 household income (aOR = 3.426, 95% CI: 1.588, 7.393, p-value = 0.002) and M40 household income (aOR = 3.781, 95% CI: 1.916, 7.460, p-value

The house price index in Malaysia reached ***** in 2023, an increase of more than twofold compared to the base index of 100 in 2010. The price index, which measures the average change in prices over a period of time, indicated that the value of housing in the country continued to increase every year since 2014. Recovery in the housing market Malaysia’s real estate industry was significantly hit by the COVID-19 pandemic but showed signs of recovery in 2022 when the restrictions were finally lifted. Subsequently, the housing market also signaled a positive recovery, with the transaction value of the residential sector growing by approximately ** percent in the same year. Going into 2024, despite uncertainties in the global economy, the housing market in Malaysia is likely to experience more growth. Demand for more affordable housing Although the real estate market is recovering and the inflation rate in the country has slowed down, the average price of houses reached nearly ******* Malaysian ringgit in 2022, an increase of around ****** Malaysian ringgit compared to the previous year. According to a survey conducted in the capital city, Kuala Lumpur, the majority of potential home buyers had a housing budget of less than ******* Malaysian ringgit. As of 2024, the Malaysian government already has several low-cost housing schemes catered for the B40 lower-income and M40 middle-income groups. Nevertheless, with the rising residential prices and current cost of living, there will be more demand for affordable housing options among home buyers.

Mental illness is rising worldwide and is more prevalent among older population. Among others, socioeconomic status particularly income has a bearing on the prevalence of mental health. However, little is known about its underlying mechanism that explains the association between income and mental health. Hence, this study seeks to examine the mediating effect of social capital on the association between income and mental illness namely depression, anxiety, and stress. A cross-sectional data consisting of 6651 respondents aged 55 years and above was used in this study. Information on individual’s sociodemographic, social capital and mental illness was collected using a community-based health survey. A validated tool known as the Depression, Anxiety and Stress Scale – 21 items (DASS-21) was applied to examine mental illness namely depression, anxiety, and stress. The Karlson, Holm and Breen (KHB) method was employed to assess the intervening role of social capital on the association between income and mental illness. Results of the study showed that those who disagreed in trust within community had the highest partial mediation percentage. Those who disagreed in reciprocity, however, had the lowest partial mediation percentage that explained the positive association between the middle 40% (M40) of the income group and depression, anxiety, and stress. Overall, the study suggests the need to increase the level of trust and attachment within society to curb the occurrence of depression and anxiety.