12 datasets found
  1. d

    Population by age, sex and ethnic group, W.P Kuala Lumpur - Dataset - MAMPU

    • archive.data.gov.my
    Updated Mar 23, 2021
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    (2021). Population by age, sex and ethnic group, W.P Kuala Lumpur - Dataset - MAMPU [Dataset]. https://archive.data.gov.my/data/dataset/population-by-age-sex-and-ethnic-group-wp-kuala-lumpur
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    Dataset updated
    Mar 23, 2021
    License

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

    Area covered
    Federal Territory of Kuala Lumpur
    Description

    This data set shows Population by age, sex and ethnic group, W.P Kuala Lumpur, 1980-2020notes: Value for year 1980 based on the adjusted data 1980 Population and Housing Census of Malaysia.Value for year 1991 based on the adjusted data 1991 Population and Housing Census of Malaysia.Value for year 2010 based on the adjusted data 2010 Population and Housing Census of Malaysia.Value for year 1981-1990, 1992-199, 2001-2009, 2011-2020 base on Intercensal mid-year population estimatesThe added total may differ due to rounding.

  2. Breakdown of population in Malaysia 2019-2024, by ethnicity

    • statista.com
    Updated Aug 22, 2024
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    Statista (2024). Breakdown of population in Malaysia 2019-2024, by ethnicity [Dataset]. https://www.statista.com/statistics/1017372/malaysia-breakdown-of-population-by-ethnicity/
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    Dataset updated
    Aug 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Malaysia
    Description

    As of July 2024, 70.4 percent of the Malaysian population were classified as Bumiputera, 22.4 percent were classified as ethnic Chinese, and 6.5 percent as ethnic Indians. Those who do not fall under these three main ethnic groups are classified as ‘Other’. Malaysia is a multi-ethnic and multi-religious society with three main ethnicities and language groups. Who are Malaysia’s Bumiputera? Bumiputera, meaning sons of the soil, is a term used to categorize the Malays, as well as the indigenous peoples of Peninsular Malaysia, also known as orang asli, and the indigenous peoples of Sabah and Sarawak. As of July 2023, the Bumiputera share of the population in Sabah was 89 percent, while that in Sarawak was 76.1 percent. Thus, the incorporation of the states of Sabah and Sarawak during the formation of Malaysia ensured that the ethnic Malays were able to maintain a majority share of the Malaysian population. Bumiputera privileges and ethnic-based politics The rights and privileges of the Malays and the natives of Sabah and Sarawak are enshrined in Article 153 of Malaysia’s constitution. This translated, in practice, to a policy of affirmative action to improve the economic situation of this particular group, through the New Economic Policy introduced in 1971. 50 years on, it is questionable whether the policy has achieved its aim. Bumiputeras still lag behind the other ethnic two major groups in terms of monthly household income. However, re-thinking this policy will certainly be met by opposition from those who have benefitted from it.

  3. Population numbers Malaysia in 2024, by state

    • statista.com
    Updated Aug 22, 2024
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    Statista (2024). Population numbers Malaysia in 2024, by state [Dataset]. https://www.statista.com/statistics/1040670/malaysia-population-distribution-by-state/
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    Dataset updated
    Aug 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Malaysia
    Description

    As of July 2024, the population of Selangor was estimated at approximately 7.4 million. Selangor is Malaysia's most populous state, as well as the state with the largest economy in terms of gross domestic product. The Golden Peninsula Malaysia is comprised of 13 states and three Wilayah Persekutuan (WP) or federal territories, which include Labuan, an offshore financial center on the east; the nation’s capital, Kuala Lumpur; and the administrative center, Putrajaya - both on the west. The aforementioned two federal territories on the west are enclaves within Selangor. In addition to that and the many points of interest it has to offer, Selangor is Malaysia’s most visited state among domestic tourists. Darul Ehsan – The Abode of Sincerity Selangor is a sultanate, ruled by Sultan Sharafuddin Idris Shah since 2001. Located on the west coast of the Malaysian peninsula, the state hosts the country’s two main transportation hubs: Kuala Lumpur International Airport and Port Klang, the country’s largest port.The state is also Malaysia’s largest economy, which contributes a big part to Malaysia’s overall GDP per capita. With the prime location, good infrastructure, and two federal territories within, Selangor will continue to attract more people for work, travel, or more.

  4. H

    Demographic Data & CBCL/4-18 Scores-Behavioural and Emotional Issues among...

    • dataverse.harvard.edu
    Updated Nov 12, 2018
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    Belina Anne William M Thomas; Sharanjeet Kaur; Mohd ‘Izzuddin Hairol; Mahadir Ahmad; Lei Lei Hum (2018). Demographic Data & CBCL/4-18 Scores-Behavioural and Emotional Issues among Primary School Pupils with Congenital Colour Vision Deficiency in Federal Territory of Kuala Lumpur, Malaysia. [Dataset]. http://doi.org/10.7910/DVN/DPZHI4
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 12, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Belina Anne William M Thomas; Sharanjeet Kaur; Mohd ‘Izzuddin Hairol; Mahadir Ahmad; Lei Lei Hum
    License

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

    Area covered
    Federal Territory of Kuala Lumpur, Malaysia
    Description

    Demographic Data & CBCL/4-18 Scores for Behavioural and Emotional Issues among Primary School Pupils with Congenital Colour Vision Deficiency in Federal Territory of Kuala Lumpur, Malaysia.

  5. f

    Demographic characteristics of study subjects infected by HIV-1 CRF74_01B.

    • figshare.com
    xls
    Updated Jun 2, 2023
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    Hui Ting Cheong; Wei Zhen Chow; Yutaka Takebe; Jack Bee Chook; Kok Gan Chan; Haider Abdulrazzaq Abed Al-Darraji; Clayton Koh; Adeeba Kamarulzaman; Kok Keng Tee (2023). Demographic characteristics of study subjects infected by HIV-1 CRF74_01B. [Dataset]. http://doi.org/10.1371/journal.pone.0133883.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Hui Ting Cheong; Wei Zhen Chow; Yutaka Takebe; Jack Bee Chook; Kok Gan Chan; Haider Abdulrazzaq Abed Al-Darraji; Clayton Koh; Adeeba Kamarulzaman; Kok Keng Tee
    License

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

    Description
    • IDU, intravenous drug users# Partial genomeDemographic characteristics of study subjects infected by HIV-1 CRF74_01B.
  6. f

    Basic demographic and baseline clinical characteristics of 103 HIV-1...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Wei Zhen Chow; Sin How Lim; Lai Yee Ong; Yean Kong Yong; Yutaka Takebe; Adeeba Kamarulzaman; Kok Keng Tee (2023). Basic demographic and baseline clinical characteristics of 103 HIV-1 patients initiating cART in Kuala Lumpur, Malaysia. [Dataset]. http://doi.org/10.1371/journal.pone.0137281.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Wei Zhen Chow; Sin How Lim; Lai Yee Ong; Yean Kong Yong; Yutaka Takebe; Adeeba Kamarulzaman; Kok Keng Tee
    License

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

    Area covered
    Federal Territory of Kuala Lumpur, Malaysia
    Description

    Categorical variables are described as n (%) and numerical variables are described as mean (± SD) or median (IQR).Abbreviations: HIV-1, human immunodeficiency type-1; cART, combination antiretroviral therapy; SD, standard deviation; IQR, interquartile range.ψP values are given for test of general differences across the two subgroups using an independent t-test€ for normally-distributed categorical outcomes and Mann-Whitney U testΔ for non-normally-distributed continuous outcomes (P values of < .05 are considered significant).a data includes Malay, Indian and other minor ethnicities.b data includes men-who-have-sex-with-men (MSM), unsafe injecting drug use and blood transfusion.c the interval between the day of cART initiation and the last clinical consultation available.d includes co-infections with tuberculosis, hepatitis B or C virus (HBV/HCV).Basic demographic and baseline clinical characteristics of 103 HIV-1 patients initiating cART in Kuala Lumpur, Malaysia.

  7. f

    R socio-demographic factors, hypertension knowledge, health belief model...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Paulina Pei Suu Tan; Ryand Singh Sandhu; Shamsul Mohd Zain; Deborah Hall; Ngiap Chuan Tan; Hooi Min Lim; Faiz Daud; Yuh-Fen Pung (2023). R socio-demographic factors, hypertension knowledge, health belief model constructs, and self-care behaviour. [Dataset]. http://doi.org/10.1371/journal.pone.0278761.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Paulina Pei Suu Tan; Ryand Singh Sandhu; Shamsul Mohd Zain; Deborah Hall; Ngiap Chuan Tan; Hooi Min Lim; Faiz Daud; Yuh-Fen Pung
    License

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

    Description

    R socio-demographic factors, hypertension knowledge, health belief model constructs, and self-care behaviour.

  8. f

    Logistic regression analysis of socio-demographic factors predicting...

    • plos.figshare.com
    xls
    Updated Dec 21, 2023
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    Rafidah Mazlan; Sagshafraa Othman (2023). Logistic regression analysis of socio-demographic factors predicting knowledge and attitude. [Dataset]. http://doi.org/10.1371/journal.pone.0295972.t005
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    xlsAvailable download formats
    Dataset updated
    Dec 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Rafidah Mazlan; Sagshafraa Othman
    License

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

    Description

    Logistic regression analysis of socio-demographic factors predicting knowledge and attitude.

  9. Share of aging population Malaysia 2015-2024

    • statista.com
    Updated Jun 6, 2025
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    Statista (2025). Share of aging population Malaysia 2015-2024 [Dataset]. https://www.statista.com/statistics/713529/malaysia-aging-population/
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    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Malaysia
    Description

    In 2024, the share of the Malaysian population aged over 65 years was at *** percent, an increase compared to *** percent in the previous year. Malaysia is currently facing the prospect of an aging population, and the latest statistical data predicted this to be happening as soon as in 2030. Aging population by 2030? An aging population is defined as one in which those aged 65 years and above make up at least 15 percent of the total population. According to a statement by Malaysia’s Chief Statistician in July 2019, the 15 percent threshold would be crossed in 2030. The past ten years have seen a change in Malaysia’s age structure. The share of the population between 0 and 14 years had been decreasing steadily, while the inverse was true for those aged 65 and above. The average age of the Malaysian population reflected this trend, and was expected to reach **** years in 2030, up from **** years in 2015. Is Malaysia ready for an aging society? Academics fear that Malaysian society would not be ready to meet the needs of a rapidly aging society. In a survey on aging, more than ** percent of Malaysian respondents felt that it was the duty of the young to take care of the elderly. This mindset places the burden of care on a shrinking base of young people. Not only that, it could contribute to the underdevelopment of social services for the elderly. Already, more Malaysians seemed pessimistic about aging. Existing problems such as a lack of professional caregivers, affordable care, and elderly-friendly housing, especially in rural areas, need to be quickly addressed before the silver tsunami overwhelms the country.

  10. f

    Demographic characteristics of participants (n = 103).

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
    + more versions
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    Grace Jikinong; Pauline Siew Mei Lai; Ahmad Ihsan Abu Bakar; Tun Firzara Abdul Malik (2023). Demographic characteristics of participants (n = 103). [Dataset]. http://doi.org/10.1371/journal.pone.0272658.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Grace Jikinong; Pauline Siew Mei Lai; Ahmad Ihsan Abu Bakar; Tun Firzara Abdul Malik
    License

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

    Description

    Demographic characteristics of participants (n = 103).

  11. Mean monthly income per household Malaysia 2022, by ethnic group

    • statista.com
    Updated Nov 1, 2023
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    Statista (2023). Mean monthly income per household Malaysia 2022, by ethnic group [Dataset]. https://www.statista.com/statistics/856659/malaysia-average-monthly-household-income-by-ethnic-group/
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    Dataset updated
    Nov 1, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Malaysia
    Description

    In 2022, ethnic Chinese households had the highest mean monthly household income in Malaysia, at around 10.66 thousand Malaysian ringgit. This was more than three thousand ringgit higher than Bumiputera households. Despite the implementation of affirmative action through Article 153 of the Malaysian constitution, the economic position of the Bumiputera vis-à-vis other ethnicities still left much room for improvement.

    Historical policies, ethnicity, and the urban-rural divide The Bumiputera make up the majority of the Malaysian population, yet have one of the lowest average monthly household incomes in Malaysia. This economic disparity could be explained by the effects of colonial policies that kept the Bumiputera largely in the countryside. This resulted in an urban-rural divide that was characterized by ethnicity, with the immigrant Chinese and Indian laborers concentrated in the urban centers, a demographic pattern that is still evident today.

    There was a considerable difference in urban and rural household incomes in Malaysia, with urban household income being around 3.6 thousand ringgit more than rural households. This was largely due to the fact that wages in urban areas had to keep up with the higher cost of living there. This thus impacted the average monthly incomes of the largely rural-based Bumiputera and the largely urban-based ethnic Chinese. This visible wealth inequality has led to racial tensions in Malaysia, and it is still one of the problem in the country amidst a new government led by Prime Minister Anwar Ibrahim, who was elected in 2022.

  12. f

    Distribution of physical activity level with socio-demographic...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    N. Z. M. Saat; Siti Aishah Hanawi; Nor M. F. Farah; Hazlenah Hanafiah; Anis Afiqah Zuha (2023). Distribution of physical activity level with socio-demographic characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0274305.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    N. Z. M. Saat; Siti Aishah Hanawi; Nor M. F. Farah; Hazlenah Hanafiah; Anis Afiqah Zuha
    License

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

    Description

    Distribution of physical activity level with socio-demographic characteristics.

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

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(2021). Population by age, sex and ethnic group, W.P Kuala Lumpur - Dataset - MAMPU [Dataset]. https://archive.data.gov.my/data/dataset/population-by-age-sex-and-ethnic-group-wp-kuala-lumpur

Population by age, sex and ethnic group, W.P Kuala Lumpur - Dataset - MAMPU

Explore at:
Dataset updated
Mar 23, 2021
License

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

Area covered
Federal Territory of Kuala Lumpur
Description

This data set shows Population by age, sex and ethnic group, W.P Kuala Lumpur, 1980-2020notes: Value for year 1980 based on the adjusted data 1980 Population and Housing Census of Malaysia.Value for year 1991 based on the adjusted data 1991 Population and Housing Census of Malaysia.Value for year 2010 based on the adjusted data 2010 Population and Housing Census of Malaysia.Value for year 1981-1990, 1992-199, 2001-2009, 2011-2020 base on Intercensal mid-year population estimatesThe added total may differ due to rounding.

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