Malaysia Gini Coefficient (GINI Index): World Bank Estimate data was reported at 41.000 % in 2015. This records a decrease from the previous number of 41.300 % for 2013. Malaysia Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 46.150 % from Dec 1984 (Median) to 2015, with 12 observations. The data reached an all-time high of 49.100 % in 1997 and a record low of 41.000 % in 2015. Malaysia Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank.WDI: Poverty. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Malaysia Gini Coefficient: Urban data was reported at 38.900 % in 2016. This records a decrease from the previous number of 39.100 % for 2014. Malaysia Gini Coefficient: Urban data is updated yearly, averaging 43.200 % from Dec 1974 (Median) to 2016, with 17 observations. The data reached an all-time high of 54.100 % in 1974 and a record low of 38.900 % in 2016. Malaysia Gini Coefficient: Urban data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G062: Household Income and Basic Amenities Survey: Gini Coefficient.

Malaysia Gini Coefficient: Kuala Lumpur data was reported at 37.833 % in 2016. This records a decrease from the previous number of 40.700 % for 2014. Malaysia Gini Coefficient: Kuala Lumpur data is updated yearly, averaging 43.500 % from Dec 1984 (Median) to 2016, with 14 observations. The data reached an all-time high of 48.560 % in 1984 and a record low of 37.400 % in 2009. Malaysia Gini Coefficient: Kuala Lumpur data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G062: Household Income and Basic Amenities Survey: Gini Coefficient.

Historical dataset showing Malaysia income inequality - gini coefficient by year from N/A to N/A.

The gini index in Malaysia was forecast to continuously decrease between 2024 and 2029 by in total **** points. The gini is estimated to amount to **** points in 2029. The Gini coefficient here measures the degree of income inequality on a scale from * (=total equality of incomes) to *** (=total inequality).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the gini index in countries like Laos and Thailand.

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This dataset shows the Gini coefficient by state, 2002 - 2020e. Notes: n.a. Not applicable e Refers to estimated value based on this study Source : DEPARTMENT OF STATISTICS MALAYSIA No. of Views : 324

Yearly (annual) dataset of the Malaysia Gini Index, including historical data, latest releases, and long-term trends from 1984-12-31 to 2021-12-31. Available for free download in CSV format.

This dataset shows the Gini coefficient by ethnicity, 2002 - 2019, Malaysia. Source : DEPARTMENT OF STATISTICS MALAYSIA No. of Views : 295

Malaysia Gini Coefficient: Sarawak data was reported at 38.602 % in 2016. This records a decrease from the previous number of 39.100 % for 2014. Malaysia Gini Coefficient: Sarawak data is updated yearly, averaging 44.178 % from Dec 1979 (Median) to 2016, with 15 observations. The data reached an all-time high of 50.100 % in 1979 and a record low of 38.602 % in 2016. Malaysia Gini Coefficient: Sarawak data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G062: Household Income and Basic Amenities Survey: Gini Coefficient.

Malaysia Gini Coefficient: Indians data was reported at 38.200 % in 2016. This records a decrease from the previous number of 39.600 % for 2014. Malaysia Gini Coefficient: Indians data is updated yearly, averaging 41.365 % from Dec 1970 (Median) to 2016, with 18 observations. The data reached an all-time high of 50.900 % in 1976 and a record low of 38.200 % in 2016. Malaysia Gini Coefficient: Indians data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G062: Household Income and Basic Amenities Survey: Gini Coefficient.

Malaysia Gini Coefficient: Bumiputera data was reported at 38.500 % in 2016. This records a decrease from the previous number of 38.900 % for 2014. Malaysia Gini Coefficient: Bumiputera data is updated yearly, averaging 44.250 % from Dec 1970 (Median) to 2016, with 18 observations. The data reached an all-time high of 50.600 % in 1976 and a record low of 38.500 % in 2016. Malaysia Gini Coefficient: Bumiputera data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G062: Household Income and Basic Amenities Survey: Gini Coefficient.

Comparing the *** selected regions regarding the gini index , South Africa is leading the ranking (**** points) and is followed by Namibia with **** points. At the other end of the spectrum is Slovakia with **** points, indicating a difference of *** points to South Africa. The Gini coefficient here measures the degree of income inequality on a scale from * (=total equality of incomes) to *** (=total inequality).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Malaysia Gini Coefficient: Selangor data was reported at 37.162 % in 2016. This records a decrease from the previous number of 37.900 % for 2014. Malaysia Gini Coefficient: Selangor data is updated yearly, averaging 42.400 % from Dec 1974 (Median) to 2016, with 17 observations. The data reached an all-time high of 51.600 % in 1976 and a record low of 37.162 % in 2016. Malaysia Gini Coefficient: Selangor data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G062: Household Income and Basic Amenities Survey: Gini Coefficient.

Malaysia Gini Coefficient: Melaka data was reported at 33.719 % in 2016. This records an increase from the previous number of 31.600 % for 2014. Malaysia Gini Coefficient: Melaka data is updated yearly, averaging 39.720 % from Dec 1974 (Median) to 2016, with 17 observations. The data reached an all-time high of 55.800 % in 1976 and a record low of 31.600 % in 2014. Malaysia Gini Coefficient: Melaka data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G062: Household Income and Basic Amenities Survey: Gini Coefficient.

Malaysia Gini Coefficient: Pahang data was reported at 32.400 % in 2016. This records a decrease from the previous number of 36.000 % for 2014. Malaysia Gini Coefficient: Pahang data is updated yearly, averaging 37.320 % from Dec 1974 (Median) to 2016, with 17 observations. The data reached an all-time high of 47.800 % in 1979 and a record low of 32.400 % in 2016. Malaysia Gini Coefficient: Pahang data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G062: Household Income and Basic Amenities Survey: Gini Coefficient.

Malaysia Gini Coefficient: Terengganu data was reported at 32.804 % in 2016. This records a decrease from the previous number of 36.000 % for 2014. Malaysia Gini Coefficient: Terengganu data is updated yearly, averaging 44.800 % from Dec 1974 (Median) to 2016, with 17 observations. The data reached an all-time high of 50.200 % in 1974 and a record low of 32.804 % in 2016. Malaysia Gini Coefficient: Terengganu data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G062: Household Income and Basic Amenities Survey: Gini Coefficient.

Malaisie: Gini income inequality index: Pour cet indicateur, La Banque mondiale fournit des données pour la Malaisie de 1984 à 2021. La valeur moyenne pour Malaisie pendant cette période était de 45.14 index points avec un minimum de 40.7 index points en 2021 et un maximum de 49.1 index points en 1997.

Malaysia Gini Coefficient: Putrajaya data was reported at 36.913 % in 2016. This records a decrease from the previous number of 37.400 % for 2014. Malaysia Gini Coefficient: Putrajaya data is updated yearly, averaging 36.198 % from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 37.400 % in 2014 and a record low of 30.500 % in 2012. Malaysia Gini Coefficient: Putrajaya data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G062: Household Income and Basic Amenities Survey: Gini Coefficient.

Malaysia Gini Coefficient: Kelantan data was reported at 38.934 % in 2016. This records a decrease from the previous number of 39.300 % for 2014. Malaysia Gini Coefficient: Kelantan data is updated yearly, averaging 42.800 % from Dec 1974 (Median) to 2016, with 17 observations. The data reached an all-time high of 61.200 % in 1974 and a record low of 38.934 % in 2016. Malaysia Gini Coefficient: Kelantan data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G062: Household Income and Basic Amenities Survey: Gini Coefficient.