20 datasets found
  1. d

    Mean Monthly Household Gross Income of T20, M40 and B40 of Households by...

    • archive.data.gov.my
    Updated Jul 28, 2020
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    (2020). Mean Monthly Household Gross Income of T20, M40 and B40 of Households by Ethnicity, Malaysia - Dataset - MAMPU [Dataset]. https://archive.data.gov.my/data/dataset/mean-monthly-household-gross-income-of-t20-m40-and-b40-of-households-by-ethnicity-malaysia
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    Dataset updated
    Jul 28, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    This dataset shows the number of Mean Monthly Household Gross Income of Top 20%, Middle 40% and Bottom 40% of Households by Ethnicity 2002 - 2019, Malaysia.Source : DEPARTMENT OF STATISTICS MALAYSIA

  2. Number of households in Malaysia 2020, by income group

    • statista.com
    Updated Aug 15, 2021
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    Statista (2021). Number of households in Malaysia 2020, by income group [Dataset]. https://www.statista.com/statistics/1375147/malaysia-number-of-households-by-income-group/
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    Dataset updated
    Aug 15, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Malaysia
    Description

    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.

  3. d

    Exploring Mental Health and Other Risk Factors of Obesity Among the...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 13, 2023
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    So, Robert (2023). Exploring Mental Health and Other Risk Factors of Obesity Among the Urban-Poor Community (B40) in Malaysia During COVID-19 Pandemic [Dataset]. http://doi.org/10.7910/DVN/BGDDPC
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    Dataset updated
    Nov 13, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    So, Robert
    Description

    A cross sectional study among residents in an urban-poor community in Kuala Lumpur, Malaysia to explore probable risk factors of obesity.

  4. Interview guide for proactive measures to eradicate poverty in Malaysia in...

    • figshare.com
    pdf
    Updated Jun 1, 2023
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    DARSHANA DARMALINGGAM (2023). Interview guide for proactive measures to eradicate poverty in Malaysia in IR4.0 Era: A shared prosperity vision [Dataset]. http://doi.org/10.6084/m9.figshare.16735426.v3
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    DARSHANA DARMALINGGAM
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    This interview guide was used for the semi-structured online interviews conducted for the study

  5. H

    PPR Sri Pantai (B40 Community) Obesity, Mental Health and Quality of Life...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Feb 10, 2022
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    Beng Sheng Neoh (2022). PPR Sri Pantai (B40 Community) Obesity, Mental Health and Quality of Life Malaysia [Dataset]. http://doi.org/10.7910/DVN/BKAVFR
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 10, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Beng Sheng Neoh
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    Exploring prevalence and risk factors of Obesity in the B40 Community

  6. Interview transcript with multi-stakeholder on training in Malaysia for...

    • figshare.com
    pdf
    Updated Aug 23, 2021
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    DARSHANA DARMALINGGAM (2021). Interview transcript with multi-stakeholder on training in Malaysia for poverty eradication [Dataset]. http://doi.org/10.6084/m9.figshare.16384770.v2
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    pdfAvailable download formats
    Dataset updated
    Aug 23, 2021
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    DARSHANA DARMALINGGAM
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    This file consists transcription of interview recordings conducted with Malaysia's multi-stakeholder group including policy makers, trainers, and trainees to gauge proactive measures to eradicate poverty in Malaysia via training.

  7. Mean comparison of attitude components (N = 296).

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Oct 17, 2023
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    Mohammad Husni Jamal; Aznida Firzah Abdul Aziz; Azimatun Noor Aizuddin; Syed Mohamed Aljunid (2023). Mean comparison of attitude components (N = 296). [Dataset]. http://doi.org/10.1371/journal.pone.0292516.t005
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    xlsAvailable download formats
    Dataset updated
    Oct 17, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mohammad Husni Jamal; Aznida Firzah Abdul Aziz; Azimatun Noor Aizuddin; Syed Mohamed Aljunid
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is cross-sectional research done to assess the readiness of the private Malaysian general practitioners (GPs) for the implementation of the national health financing scheme. The study focused on their levels of knowledge and attitudes towards the types of health financing scheme, gatekeeper roles in the health financing scheme, and their participation in the PeKa B40 scheme. Their acceptance and level of participation in the national health financing scheme (NHFS) were also assessed. A set of self-designed and pre-tested questionnaires focusing on the aforementioned objectives were mailed to the respondents. The selection of respondents was done by stratified random sampling of the GPs in all 14 Malaysian states at both urban and rural levels. Out of a calculated number of 362 GPs targeted, 296 responses were received which represented a response rate of 81.7%. The respondents had a mean age of 50.7 years 165 (55.75%) were males and 131 (44.3%) were females. The rural respondents totalled 158 (53.4%) as compared to those from urban 138 (46.6%) areas. The outcomes observed were that GPs with PeKa B40 provider status, positive attitude towards health financing schemes, gatekeeper roles, and PeKa B40, were strongly associated with their acceptance and level of participation in the NHFS. The GPs possessed a positive attitude and were generally ready to participate in the NHFS, but the lower scores in knowledge levels would require definite education and training plans to further enhance their readiness. More incentives should be given to GPs to enrol as PeKa B40 providers. The results of this study should be strongly considered by the government in the efforts to engage the Malaysian private GPs in the forthcoming NHFS. Most importantly, the role of GPs as gatekeepers needed to be implemented, and the PeKa B40 scheme be greatly improved.

  8. d

    Association Between Eating Habits and Body Mass Index (BMI) Among Children...

    • search.dataone.org
    Updated Nov 8, 2023
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    Divesh A/L Devaraj; Associate Professor Dr Priya Madhavan (2023). Association Between Eating Habits and Body Mass Index (BMI) Among Children and Adolescents in an Urban Poor Community in Cheras, Kuala Lumpur, Malaysia. [Dataset]. http://doi.org/10.7910/DVN/MY6CLH
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Divesh A/L Devaraj; Associate Professor Dr Priya Madhavan
    Area covered
    Cheras, Federal Territory of Kuala Lumpur, Malaysia
    Description

    A cross-sectional study was conducted in a B40 community Perumahan Awam, Sri Johor, Cheras, Malaysia. This study aimed to identify the Body Mass Index (BMI) of children and adolescents ( age 5-17) living in this community and correlate their family socioeconomic status with BMI, eating habits, quality of food intake, and meal skipping. The sample size was calculated using Krecjie and Morgan formula for prevalence studies of a known population. A self-administered online questionnaire via Google® Forms and face to face interviews were done by year three medical students in 2023 over a weekend. (August 5th – 6th 2023). Ethical clearance was provided and written informed consent was given by all participants in this study.

  9. Descriptive statistics for B40 clustering model.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 10, 2023
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    Mariah Abdul Rahman; Nor Samsiah Sani; Rusnita Hamdan; Zulaiha Ali Othman; Azuraliza Abu Bakar (2023). Descriptive statistics for B40 clustering model. [Dataset]. http://doi.org/10.1371/journal.pone.0255312.t010
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mariah Abdul Rahman; Nor Samsiah Sani; Rusnita Hamdan; Zulaiha Ali Othman; Azuraliza Abu Bakar
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Descriptive statistics for B40 clustering model.

  10. Household Income, Expenditure and Basic Amenities Survey 2019 - Malaysia

    • catalog.ihsn.org
    Updated Jan 16, 2021
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    Department of Statistics Malaysia (2021). Household Income, Expenditure and Basic Amenities Survey 2019 - Malaysia [Dataset]. https://catalog.ihsn.org/catalog/8597
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    Dataset updated
    Jan 16, 2021
    Dataset authored and provided by
    Department of Statistics Malaysiahttp://dosm.gov.my/
    Time period covered
    2019
    Area covered
    Malaysia
    Description

    Abstract

    The main objectives of the Household Income, Expenditure and Basic Amenities Survey 2019 are : - to gather information on the income distribution and consumption patterns of the household - to identify target groups such as B40 and poor households - to measure accessibility of basic amenities enjoyed by the household - to use expenditure data as an inputs for Consumer Price Index weight

    Geographic coverage

    All districts in Malaysia, rural and urban areas

    Analysis unit

    Household

    Universe

    Coverage of the survey are households living in private living quarters only.

    Kind of data

    Sample survey data [ssd]

    Mode of data collection

    Face-to-face [f2f]

  11. Value of subsidy for hajj per pilgrim in Malaysia 2014-2024

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Value of subsidy for hajj per pilgrim in Malaysia 2014-2024 [Dataset]. https://www.statista.com/statistics/964498/hajj-subsidy-per-pilgrim-malaysia/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Malaysia
    Description

    In 2024, the amount of government subsidy for hajj pilgrimage for one pilgrim was ****** Malaysian ringgit. The amount applies to all pilgrims from non B40 group. The B40 group, or low-income group, received higher subsidy as of 2022. The hajj pilgrimage was postponed in 2020 and 2021 due to the COVID-19 pandemic.

  12. Mean comparison of practice issues in PeKa B40 (N = 296).

    • plos.figshare.com
    xls
    Updated Oct 17, 2023
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    Mohammad Husni Jamal; Aznida Firzah Abdul Aziz; Azimatun Noor Aizuddin; Syed Mohamed Aljunid (2023). Mean comparison of practice issues in PeKa B40 (N = 296). [Dataset]. http://doi.org/10.1371/journal.pone.0292516.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 17, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mohammad Husni Jamal; Aznida Firzah Abdul Aziz; Azimatun Noor Aizuddin; Syed Mohamed Aljunid
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Mean comparison of practice issues in PeKa B40 (N = 296).

  13. Research Data for "Parental stress and depression symptoms among B40 wives...

    • figshare.com
    txt
    Updated Jun 22, 2022
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    Nurul Saidatus Shaja'ah Ahmad Shahril; Zarinah Arshat; Haikal Anuar Adnan (2022). Research Data for "Parental stress and depression symptoms among B40 wives of drug addicts in Malaysia: Resilience as a mediator" [Dataset]. http://doi.org/10.6084/m9.figshare.20113904.v1
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    txtAvailable download formats
    Dataset updated
    Jun 22, 2022
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Nurul Saidatus Shaja'ah Ahmad Shahril; Zarinah Arshat; Haikal Anuar Adnan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    Research data comprises background profile of the respondents and studied variables that are parental stress, resilience and depression. Researchers collected the data using a structured questionnaire after getting approval from related institutions.

  14. The sociodemographic characteristics of general practitioners in Malaysia (N...

    • plos.figshare.com
    xls
    Updated Oct 17, 2023
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    Mohammad Husni Jamal; Aznida Firzah Abdul Aziz; Azimatun Noor Aizuddin; Syed Mohamed Aljunid (2023). The sociodemographic characteristics of general practitioners in Malaysia (N = 296). [Dataset]. http://doi.org/10.1371/journal.pone.0292516.t001
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    xlsAvailable download formats
    Dataset updated
    Oct 17, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mohammad Husni Jamal; Aznida Firzah Abdul Aziz; Azimatun Noor Aizuddin; Syed Mohamed Aljunid
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    The sociodemographic characteristics of general practitioners in Malaysia (N = 296).

  15. Dimensions, indicators and measure attributes identified from the B40...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xls
    Updated May 31, 2023
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    Mariah Abdul Rahman; Nor Samsiah Sani; Rusnita Hamdan; Zulaiha Ali Othman; Azuraliza Abu Bakar (2023). Dimensions, indicators and measure attributes identified from the B40 clustering model. [Dataset]. http://doi.org/10.1371/journal.pone.0255312.t011
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mariah Abdul Rahman; Nor Samsiah Sani; Rusnita Hamdan; Zulaiha Ali Othman; Azuraliza Abu Bakar
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dimensions, indicators and measure attributes identified from the B40 clustering model.

  16. Distribution of B40 group based on 2016’s PLI.

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Mariah Abdul Rahman; Nor Samsiah Sani; Rusnita Hamdan; Zulaiha Ali Othman; Azuraliza Abu Bakar (2023). Distribution of B40 group based on 2016’s PLI. [Dataset]. http://doi.org/10.1371/journal.pone.0255312.t013
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mariah Abdul Rahman; Nor Samsiah Sani; Rusnita Hamdan; Zulaiha Ali Othman; Azuraliza Abu Bakar
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Distribution of B40 group based on 2016’s PLI.

  17. f

    Factors associated with the acceptance and level of participation of...

    • plos.figshare.com
    xls
    Updated Oct 17, 2023
    + more versions
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    Mohammad Husni Jamal; Aznida Firzah Abdul Aziz; Azimatun Noor Aizuddin; Syed Mohamed Aljunid (2023). Factors associated with the acceptance and level of participation of Malaysian GPs towards future NHFS (Simple linear regression). [Dataset]. http://doi.org/10.1371/journal.pone.0292516.t008
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    xlsAvailable download formats
    Dataset updated
    Oct 17, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mohammad Husni Jamal; Aznida Firzah Abdul Aziz; Azimatun Noor Aizuddin; Syed Mohamed Aljunid
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    Factors associated with the acceptance and level of participation of Malaysian GPs towards future NHFS (Simple linear regression).

  18. Mean comparison of knowledge components (N = 296).

    • plos.figshare.com
    xls
    Updated Oct 17, 2023
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    Mohammad Husni Jamal; Aznida Firzah Abdul Aziz; Azimatun Noor Aizuddin; Syed Mohamed Aljunid (2023). Mean comparison of knowledge components (N = 296). [Dataset]. http://doi.org/10.1371/journal.pone.0292516.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 17, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mohammad Husni Jamal; Aznida Firzah Abdul Aziz; Azimatun Noor Aizuddin; Syed Mohamed Aljunid
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Mean comparison of knowledge components (N = 296).

  19. Factors associated with the acceptance and level of participation Malaysian...

    • plos.figshare.com
    xls
    Updated Oct 17, 2023
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    Mohammad Husni Jamal; Aznida Firzah Abdul Aziz; Azimatun Noor Aizuddin; Syed Mohamed Aljunid (2023). Factors associated with the acceptance and level of participation Malaysian GPs in future NHFS (Independent t-test). [Dataset]. http://doi.org/10.1371/journal.pone.0292516.t009
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 17, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mohammad Husni Jamal; Aznida Firzah Abdul Aziz; Azimatun Noor Aizuddin; Syed Mohamed Aljunid
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    Factors associated with the acceptance and level of participation Malaysian GPs in future NHFS (Independent t-test).

  20. f

    KDQOL-36 domain subscale with employment status.

    • plos.figshare.com
    xls
    Updated Mar 27, 2024
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    Shing Shen Bay; Lydia Kamaruzaman; Rozita Mohd; Shamsul Azhar Shah (2024). KDQOL-36 domain subscale with employment status. [Dataset]. http://doi.org/10.1371/journal.pone.0297378.t005
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    xlsAvailable download formats
    Dataset updated
    Mar 27, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Shing Shen Bay; Lydia Kamaruzaman; Rozita Mohd; Shamsul Azhar Shah
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionChronic kidney disease (CKD) is a major public health issue with significant socioeconomic impacts. In Malaysia, the prevalence of CKD in 2018 was 15%. Complications of CKD such as anaemia, mineral bone disease, and infections led to frequent hospitalizations resulting in work disability and unemployment. To date, there is no data of employment status of CKD patients in Malaysia.MethodsA cross-sectional study of patients with advanced CKD (stage 4 and 5 non-dialysis) treated in our centre. We interviewed those aged 18 to 60 years old who were selected based on random sampling of their employment status and associated factors. Work disabilities and quality of life were assessed using work productivity and activity impairment (WPAI-GH) questionnaire and kidney disease and quality of life (KDQOL-36) questionnaire. These questionnaires were assisted by the main investigators to aid participants in facilitating their response process.ResultA total of 318 patients recruited, 53.5% were males, with a mean age of 49.0 ± 9.0 years old. The main cause of CKD was diabetes (67.0%) followed by hypertension (11.3%). Majority of them were obese (55.3%) with a mean body mass index of 28.81 ± 6.3 kg/m2. The mean household income was RM 4669.50 ± 3034.75 (USD1006.27 ± 653.99). The employment rate was 50% (n = 159). 86% of the unemployed patients were in B40 income category. Multiple Logistic Regression was performed on the significant factors affecting employment status showed one year increase in age increased 6.5% odds to be unemployed. Female and dyslipidaemia had 2.24- and 2.58-times higher odds respectively to be unemployed. Meanwhile, patients with tertiary level of education were 81% less odds to be unemployed. Patients with advanced CKD had a mean percentage of 24.35 ± 15.23 work impairment and 13.36 ± 32.34 mean percentages of face absenteeism due to the disease burden. Furthermore, patients who were unemployed had significant perceived symptoms and problem lists, effects, and burden of kidney disease (p

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2020). Mean Monthly Household Gross Income of T20, M40 and B40 of Households by Ethnicity, Malaysia - Dataset - MAMPU [Dataset]. https://archive.data.gov.my/data/dataset/mean-monthly-household-gross-income-of-t20-m40-and-b40-of-households-by-ethnicity-malaysia

Mean Monthly Household Gross Income of T20, M40 and B40 of Households by Ethnicity, Malaysia - Dataset - MAMPU

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Dataset updated
Jul 28, 2020
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Malaysia
Description

This dataset shows the number of Mean Monthly Household Gross Income of Top 20%, Middle 40% and Bottom 40% of Households by Ethnicity 2002 - 2019, Malaysia.Source : DEPARTMENT OF STATISTICS MALAYSIA

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