Gini coefficient - Revision history

Laeral at 19:20, 24 December 2023

2023-12-24T19:20:19Z

← Older revision		Revision as of 13:20, 24 December 2023
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	\|0.311		\|0.311
	\|Medium		\|Medium
			\|-
			\|[[Pharitaya]]
			\|0.573
			\|High
	\|-		\|-
	\|[[Serriel]]		\|[[Serriel]]

Laeral at 21:42, 8 April 2023

2023-04-08T21:42:02Z

← Older revision		Revision as of 15:42, 8 April 2023
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	\|0.350		\|0.350
	\|Medium		\|Medium
			\|-
			\|[[Haesan]]
			\|0.491
			\|High
	\|-		\|-
	\|[[High Fells]]		\|[[High Fells]]

Laeral at 05:28, 3 April 2023

2023-04-03T05:28:14Z

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	\|0.372		\|0.372
	\|Medium		\|Medium
			\|-
			\|[[Mansilla]]
			\|0.433
			\|High
	\|-		\|-
	\|[[Milintica]]		\|[[Milintica]]
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	\|[[Xiomera]]		\|[[Xiomera]]
	\|0.422		\|0.422
	\|~~Medium~~		\|High
	\|}		\|}

	[[Category: Economics]]		[[Category: Economics]]

Laeral at 17:17, 2 April 2023

2023-04-02T17:17:04Z

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	\|[[Laeral]]		\|[[Laeral]]
	\|0.348		\|0.348
			\|Medium
			\|-
			\|[[Libertas Omnium Maximus]]
			\|0.372
	\|Medium		\|Medium
	\|-		\|-
	\|[[Milintica]]		\|[[Milintica]]
	\|0.~~422~~		\|0.311
	\|Medium		\|Medium
	\|-		\|-
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	\|-		\|-
	\|[[Xiomera]]		\|[[Xiomera]]
	\|0.~~311~~		\|0.422
	\|Medium		\|Medium
	\|}		\|}

	[[Category: Economics]]		[[Category: Economics]]

Laeral at 00:49, 1 February 2023

2023-02-01T00:49:05Z

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	\|Medium		\|Medium
	\|}		\|}

			[[Category: Economics]]

Laeral at 19:48, 31 January 2023

2023-01-31T19:48:45Z

← Older revision		Revision as of 13:48, 31 January 2023
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	!Gini Coefficient		!Gini Coefficient
	!Range		!Range
	!
	\|-		\|-
	\|[[Andhrapur]]		\|[[Andhrapur]]
	\|0.357		\|0.357
	\|Medium		\|Medium
	\|
	\|-		\|-
	\|[[Eiria]]		\|[[Eiria]]
	\|0.350		\|0.350
	\|Medium		\|Medium
	\|
	\|-		\|-
	\|[[High Fells]]		\|[[High Fells]]
	\|0.397		\|0.397
	\|Medium		\|Medium
	\|
	\|-		\|-
	\|[[Laeral]]		\|[[Laeral]]
	\|0.348		\|0.348
	\|Medium		\|Medium
	\|
	\|-		\|-
	\|[[Milintica]]		\|[[Milintica]]
	\|0.422		\|0.422
	\|Medium		\|Medium
	\|
	\|-		\|-
	\|[[Serriel]]		\|[[Serriel]]
	\|0.488		\|0.488
	\|High		\|High
	\|
	\|-		\|-
	\|[[Xiomera]]		\|[[Xiomera]]
	\|0.311		\|0.311
	\|Medium		\|Medium
	\|
	\|}		\|}

Laeral at 19:48, 31 January 2023

2023-01-31T19:48:36Z

← Older revision		Revision as of 13:48, 31 January 2023
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	For larger groups, values close to or above 1 are very unlikely in practice. Given the normalization of both the cumulative population and the cumulative share of income used to calculate the Gini coefficient, the measure is not overly sensitive to the specifics of the income distribution, but rather only on how incomes vary relative to the other members of a population. The exception to this is in the redistribution of income resulting in a minimum income for all people. When the population is sorted, if their income distribution were to approximate a well-known function, then some representative values could be calculated.		For larger groups, values close to or above 1 are very unlikely in practice. Given the normalization of both the cumulative population and the cumulative share of income used to calculate the Gini coefficient, the measure is not overly sensitive to the specifics of the income distribution, but rather only on how incomes vary relative to the other members of a population. The exception to this is in the redistribution of income resulting in a minimum income for all people. When the population is sorted, if their income distribution were to approximate a well-known function, then some representative values could be calculated.

	{\| class="wikitable"		{\| class="wikitable sortable"
	\|+Gini Coefficients of Selected IDU Nations		\|+Gini Coefficients of Selected IDU Nations
	!Nation		!Nation

Laeral at 19:48, 31 January 2023

2023-01-31T19:48:18Z

← Older revision		Revision as of 13:48, 31 January 2023
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	For larger groups, values close to or above 1 are very unlikely in practice. Given the normalization of both the cumulative population and the cumulative share of income used to calculate the Gini coefficient, the measure is not overly sensitive to the specifics of the income distribution, but rather only on how incomes vary relative to the other members of a population. The exception to this is in the redistribution of income resulting in a minimum income for all people. When the population is sorted, if their income distribution were to approximate a well-known function, then some representative values could be calculated.		For larger groups, values close to or above 1 are very unlikely in practice. Given the normalization of both the cumulative population and the cumulative share of income used to calculate the Gini coefficient, the measure is not overly sensitive to the specifics of the income distribution, but rather only on how incomes vary relative to the other members of a population. The exception to this is in the redistribution of income resulting in a minimum income for all people. When the population is sorted, if their income distribution were to approximate a well-known function, then some representative values could be calculated.

			{\| class="wikitable"
			\|+Gini Coefficients of Selected IDU Nations
			!Nation
			!Gini Coefficient
			!Range
			!
			\|-
			\|[[Andhrapur]]
			\|0.357
			\|Medium
			\|
			\|-
			\|[[Eiria]]
			\|0.350
			\|Medium
			\|
			\|-
			\|[[High Fells]]
			\|0.397
			\|Medium
			\|
			\|-
			\|[[Laeral]]
			\|0.348
			\|Medium
			\|
			\|-
			\|[[Milintica]]
			\|0.422
			\|Medium
			\|
			\|-
			\|[[Serriel]]
			\|0.488
			\|High
			\|
			\|-
			\|[[Xiomera]]
			\|0.311
			\|Medium
			\|
			\|}

Attackzach1111: Created page with "In economics, the Gini coefficient (/ˈdʒiːni/ JEE-nee), sometimes called Gini index, or Gini ratio, is a measure of statistical dispersion intended to represent the income..."

2019-08-19T00:09:40Z

Created page with "In economics, the Gini coefficient (/ˈdʒiːni/ JEE-nee), sometimes called Gini index, or Gini ratio, is a measure of statistical dispersion intended to represent the income..."

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In economics, the Gini coefficient (/ˈdʒiːni/ JEE-nee), sometimes called Gini index, or Gini ratio, is a measure of statistical dispersion intended to represent the income or wealth distribution of a nation's residents, and is the most commonly used measurement of inequality.

The Gini coefficient measures the inequality among values of a frequency distribution (for example, levels of income). A Gini coefficient of zero expresses perfect equality, where all values are the same (for example, where everyone has the same income). A Gini coefficient of 1 (or 100%) expresses maximal inequality among values (e.g., for a large number of people, where only one person has all the income or consumption, and all others have none, the Gini coefficient will be very nearly one). However, a value greater than one may occur if some persons represent negative contribution to the total (for example, having negative income or wealth).

For larger groups, values close to or above 1 are very unlikely in practice. Given the normalization of both the cumulative population and the cumulative share of income used to calculate the Gini coefficient, the measure is not overly sensitive to the specifics of the income distribution, but rather only on how incomes vary relative to the other members of a population. The exception to this is in the redistribution of income resulting in a minimum income for all people. When the population is sorted, if their income distribution were to approximate a well-known function, then some representative values could be calculated.