Graph and download economic data for GINI Index for Georgia (SIPOVGINIGEO) from 1996 to 2023 about Georgia, gini, and indexes.

Georgia GE: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 36.500 % in 2016. This records an increase from the previous number of 36.400 % for 2015. Georgia GE: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 38.200 % from Dec 1996 (Median) to 2016, with 21 observations. The data reached an all-time high of 41.300 % in 1998 and a record low of 36.300 % in 2004. Georgia GE: 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 Georgia – Table GE.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.

Gini Coefficient data was reported at 0.335 NA in 2022. This records a decrease from the previous number of 0.342 NA for 2021. Gini Coefficient data is updated yearly, averaging 0.376 NA from Dec 1996 (Median) to 2022, with 27 observations. The data reached an all-time high of 0.412 NA in 1998 and a record low of 0.335 NA in 2022. Gini Coefficient data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s Georgia – Table GE.OWID.ESG: Social: Gini Coefficient: Annual.

Is the Gini Coefficient Enough? A Microeconomic Data Decomposition StudyIvan Skliarov, Lukasz Goczek (2023).List of data files:1. theil_raw.csv - data obtained from LISSY using the lis_theil.R script.*2. scv_raw.csv - data obtained from LISSY using the scv_theil.R script.*3. hdi.csv - Human Development Index and its components.4. gini.csv - Gini coefficient from SWIID 9.4.5. wdi.csv - World Development Indicators from the World Bank.6. wgi.csv - World Governance Indicators from the World Bank.7. govcon.csv - government consumption (% of GDP) from UNCTAD.8. theil_fin.csv - final dataset (1, 3-7 combined), which is used in lis_analysis.do.9. scv_fin.csv - final dataset (2-7 combined), which is used in lis_analysis.do.10. indexes.csv - only within and between-cohort components of the Theil index and SCV with imputed values (see lis_analysis.do) for Georgia and Lithuania, which is used in lis_plot.R. * LISSY is the remote-execution system allowing access to the Luxembourg Income Study database: https://www.lisdatacenter.org/data-access/lissy/.For questions about this research please contact:Ivan Skliarov, MA: Faculty of Economic Sciences, University of Warsaw, Poland, Długa 44/50, Warsaw 00-241, Poland, i.skliarov@student.uw.edu.pl.Lukasz Goczek, PhD: Faculty of Economic Sciences, University of Warsaw, Poland, Długa 44/50, Warsaw 00-241, Poland, lgoczek@wne.uw.edu.pl.

Gini Coefficient data was reported at 0.380 NA in 2017. This records a decrease from the previous number of 0.422 NA for 2005. Gini Coefficient data is updated yearly, averaging 0.401 NA from Dec 2005 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.422 NA in 2005 and a record low of 0.380 NA in 2017. Gini Coefficient data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s Gabon – Table GA.OWID.ESG: Social: Gini Coefficient: Annual.

基尼系数在12-01-2022达0.335NA，相较于12-01-2021的0.342NA有所下降。基尼系数数据按年更新，12-01-1996至12-01-2022期间平均值为0.376NA，共27份观测结果。该数据的历史最高值出现于12-01-1998，达0.412NA，而历史最低值则出现于12-01-2022，为0.335NA。CEIC提供的基尼系数数据处于定期更新的状态，数据来源于Our World in Data，数据归类于全球数据库的格鲁吉亚 – Table GE.OWID.ESG: Social: Gini Coefficient: Annual。

En esta tabla se aportan datos sobre indicadores de desigualdad como el índice de Gini y la distribución de la renta P80/P20 para el año 2022. La información se desagrega territorialmente a nivel de secciones de Canarias con fecha de referencia 1/1/2023.

This dataset includes all data supporting our accounting of SDGs in transboundary basins. It contains weighted sub-regional/grid-level data for SDGs 1-17, 13 explanatory indicators (Total Precipitation; 2m Temperature; Wind Speed; Surface Pressure; Surface Latent Heat Flux; Surface Runoff; Sub-surface Runoff; LAI; NDVI; GPP; Ground Water Storage; NPP; Population; DEM) and 1 dependent variable (Water Availability) used for calculating the Environmental Gini Coefficient (EGC) in transboundary basins. Additionally, we have uploaded the computation code in markdown format.

Innéacs Gini (%) den ioncam cánach i gcathair Barcelona bunaithe ar an tionscadal turgnamhach Atlas dáilte ioncaim teaghlaigh de chuid na hInstitiúide Náisiúnta Staidrimh (INE)