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Montenegro ME: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 31.900 % in 2014. This records a decrease from the previous number of 32.400 % for 2013. Montenegro ME: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 30.900 % from Dec 2005 (Median) to 2014, with 10 observations. The data reached an all-time high of 32.400 % in 2013 and a record low of 28.900 % in 2010. Montenegro ME: 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 Montenegro – Table ME.World Bank: 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.
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Graph and download economic data for GINI Index for Montenegro (SIPOVGINIMNE) from 2005 to 2021 about Montenegro, gini, and indexes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Gini Coefficient data was reported at 0.343 NA in 2021. This records a decrease from the previous number of 0.354 NA for 2020. Gini Coefficient data is updated yearly, averaging 0.377 NA from Dec 2012 (Median) to 2021, with 10 observations. The data reached an all-time high of 0.412 NA in 2012 and a record low of 0.343 NA in 2021. Gini Coefficient data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s Montenegro – Table ME.OWID.ESG: Social: Gini Coefficient: Annual.
34,30 (%) in 2021. Der GINI-Index misst, zu welchem Ausmaß die Einkommensverteilung oder die Konsumausgaben von Individuen oder Haushalten innerhalb einer Wirtschaft von der idealen, gleichmäßigen Verteilung abweichen. Mithilfe einer Lorenzkurve werden die kumulierten Prozentsätze des Gesamteinkommens und die kumulierte Anzahl der Personen, die Einkommen beziehen, angefangen mit dem ärmsten Individuum oder Haushalt, dargestellt. Der GINI-Index misst die Fläche zwischen der Lorenzkurve und einer hypothetischen Linie, die die perfekte Verteilung symbolisiert und wird als Prozentsatz der maximalen Fläche unter dieser Linie angegeben. Somit bedeutet ein GINI-Index von 0 eine absolut gleichmäßige Verteilung, ein Index von 100 eine absolute Ungleichheit.
36.80 (%) in 2018. ジニ係数は、ある経済圏において、個人や世帯間の所得や消費支出の分布が完全に平等な分布から外れた程度を測定します。ローレンツ曲線は、最も貧しい個人または家庭で始まる、受け取った人の累積数に対する、受け取った総所得の累積割合を描いています。ジニ指数は、ローレンツ曲線と絶対平等の仮想線間の領域を測定し、線の下の最大面積の割合として表されます。したがって、0のジニ指数は完全な平等を表している一方で、100の指標は完全不平等を意味しています。
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Montenegro ME: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 31.900 % in 2014. This records a decrease from the previous number of 32.400 % for 2013. Montenegro ME: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 30.900 % from Dec 2005 (Median) to 2014, with 10 observations. The data reached an all-time high of 32.400 % in 2013 and a record low of 28.900 % in 2010. Montenegro ME: 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 Montenegro – Table ME.World Bank: 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.