The Gini Index score in Russia decreased to ** since the previous year. Therefore, 2020 marks the lowest Gini Index score during the observed period. The Gini index is an economic tool that measures income inequality across a given group or society. An index score of zero would indicate perfect equality, whereas a score of 100 represents maximum inequality.Find more statistics on other topics about Russia with key insights such as poverty headcount ratio at national poverty lines.

The gini index in Russia 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).

Graph and download economic data for GINI Index for the Russian Federation (SIPOVGINIRUS) from 1993 to 2021 about gini, Russia, and indexes.

Gini Coefficient: Income Concentration Index: VR: Penza Region data was reported at 0.363 NA in 2023. This records an increase from the previous number of 0.343 NA for 2022. Gini Coefficient: Income Concentration Index: VR: Penza Region data is updated yearly, averaging 0.349 NA from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 0.389 NA in 2012 and a record low of 0.289 NA in 1995. Gini Coefficient: Income Concentration Index: VR: Penza Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA015: Household Income Ratio: Gini Coefficient.

Gini Coefficient: Income Concentration Index: UF: Chelyabinsk Region data was reported at 0.360 NA in 2023. This records an increase from the previous number of 0.338 NA for 2022. Gini Coefficient: Income Concentration Index: UF: Chelyabinsk Region data is updated yearly, averaging 0.361 NA from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 0.402 NA in 2008 and a record low of 0.316 NA in 1995. Gini Coefficient: Income Concentration Index: UF: Chelyabinsk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA015: Household Income Ratio: Gini Coefficient.

Gini Coefficient: Income Concentration Index: CF: City of Moscow data was reported at 0.425 NA in 2023. This records an increase from the previous number of 0.412 NA for 2022. Gini Coefficient: Income Concentration Index: CF: City of Moscow data is updated yearly, averaging 0.512 NA from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 0.623 NA in 1997 and a record low of 0.412 NA in 2022. Gini Coefficient: Income Concentration Index: CF: City of Moscow data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA015: Household Income Ratio: Gini Coefficient.

Russia Gini Coefficient: Income Concentration Index: Annual data was reported at 0.410 NA in 2017. This records a decrease from the previous number of 0.412 NA for 2016. Russia Gini Coefficient: Income Concentration Index: Annual data is updated yearly, averaging 0.409 NA from Dec 1992 (Median) to 2017, with 26 observations. The data reached an all-time high of 0.422 NA in 2007 and a record low of 0.289 NA in 1992. Russia Gini Coefficient: Income Concentration Index: Annual data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA014: Household Income Ratio: Gini Coefficient.

Gini Coefficient: Income Concentration Index: Volga Region Federal District (VR): Republic of Bashkortostan data was reported at 0.384 NA in 2023. This records an increase from the previous number of 0.375 NA for 2022. Gini Coefficient: Income Concentration Index: Volga Region Federal District (VR): Republic of Bashkortostan data is updated yearly, averaging 0.408 NA from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 0.436 NA in 2009 and a record low of 0.325 NA in 1995. Gini Coefficient: Income Concentration Index: Volga Region Federal District (VR): Republic of Bashkortostan data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA015: Household Income Ratio: Gini Coefficient.

Over ** million Russians aged 20 years and above, or approximately ** percent of the total adult population of the country, had wealth under 10,000 U.S. dollars in 2022. To compare, on average around the globe, the share of residents belonging to this wealth range was measured at **** percent in the same year. Economic inequality in Russia The latest available data by the World Bank recorded Russia’s Gini index, used as a measurement of income or wealth inequality, at **. The organization classified Russia as an upper-middle-income economy. Over ** percent of Russians considered themselves belonging to the middle class in 2020. HNWIs in Russia Approximately *** percent of Russian adults, or ******* residents, owned over *********** U.S. dollars, or were referred to as high-net-worth individuals (HNWIs). In 2021, the total wealth of the adult population in the country reached nearly *** trillion U.S. dollars. A significant portion of it belonged to roughly ***** ultra-high-net-worth individuals (UHNWIs) whose net worth exceeded ** billion U.S. dollars.

Gini Coefficient: Income Concentration Index: NW: City of St Petersburg data was reported at 0.406 NA in 2023. This records an increase from the previous number of 0.402 NA for 2022. Gini Coefficient: Income Concentration Index: NW: City of St Petersburg data is updated yearly, averaging 0.409 NA from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 0.471 NA in 1996 and a record low of 0.309 NA in 1999. Gini Coefficient: Income Concentration Index: NW: City of St Petersburg data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA015: Household Income Ratio: Gini Coefficient.

Gini Coefficient: Income Concentration Index: SF: Republic of Crimea data was reported at 0.331 NA in 2023. This records an increase from the previous number of 0.322 NA for 2022. Gini Coefficient: Income Concentration Index: SF: Republic of Crimea data is updated yearly, averaging 0.331 NA from Dec 2013 (Median) to 2023, with 11 observations. The data reached an all-time high of 0.348 NA in 2018 and a record low of 0.000 NA in 2014. Gini Coefficient: Income Concentration Index: SF: Republic of Crimea data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA015: Household Income Ratio: Gini Coefficient.

The poverty headcount ratio at national poverty lines in Russia declined to 11 percent in 2021. These figures refer to the share of the population living below the poverty line, based on parameters set by relevant authorities.Find more statistics on other topics about Russia with key insights such as Gini Index score.

This data file includes the Gini coefficient calculated for different wealth welfare aggregates constructed for all Luxembourg Wealth Study (LWS) datasets in all waves (as of March 2022). It includes Gini coefficients calculated on: • Disposable Net Worth • Value of Principal residence • Financial AssetsThis project sought to renew the ESRC's invaluable financial support to LIS (formerly the Luxembourg Income Study) for a period of five more years. LIS is an independent, non-profit cross-national data archive and research institute located in Luxembourg. LIS relies on financial contributions from national science foundations, other research institutions and consortia, data-providing agencies, and supranational organisations to support data harmonisation and enable free and unlimited data access to researchers in the participating countries and to students world-wide. LIS' primary activity is to make harmonised household microdata available to researchers, thus enabling cross-national, interdisciplinary primary research into socio-economic outcomes and their determinants. Users of the Luxembourg Income Study Database and Luxembourg Wealth Study Database come from countries around the globe, including the UK. LIS has four goals: 1) to harmonise microdatasets from high- and middle-income countries that include data on income, wealth, employment, and demography; 2) to provide a secure method for researchers to query data that would otherwise be unavailable due to country-specific privacy restrictions; 3) to create and maintain a remote-execution system that sends research query results quickly back to users at off-site locations; and 4) to enable, facilitate, promote and conduct crossnational comparative research on the social and economic wellbeing of populations across countries. LIS contains the Luxembourg Income Study (LIS) Database, which includes income data, and the Luxembourg Wealth Study (LWS) Database, which focuses on wealth data. LIS currently includes microdata from 46 countries in Europe, the Americas, Africa, Asia and Australasia. LIS contains over 250 datasets, organised into eight time "waves," spanning the years 1968 to 2011. Since 2007, seventeen more countries have been added to LIS, including the BRICS countries (Brazil, Russia, India, China, South Africa), Japan, South Korea and a number of other Latin American countries. LWS contains 20 wealth datasets from 12 countries, including the UK, and covers the period 1994 to 2007. All told, LIS and LWS datasets together cover 86% of world GDP and 64% of world population. Users submit statistical queries to the microdatabases using a Java-based job submission interface or standard email. The databases are especially valuable for primary research in that they offer access to cross-national data at the micro-level - at the level of households and persons. Users are economists, sociologists, political scientists, and policy analysts, among others, and they employ a range of statistical approaches and methods. LIS also provides extensive documentation - metadata - for both LIS and LWS, concerning technical aspects of the survey data, the harmonisation process, and the social institutions of income and wealth provision in participating countries. In the next five years, for which support is sought, LIS will: - expand LIS, adding Waves IX (2013) and X (2016), and add new middle-income countries; - develop LWS, adding another wave of datasets to existing countries; acquire new wealth datasets for 14 more countries in cooperation with the European Central Bank (based on the Household Finance and Consumption Survey); - create a state-of-the-art metadata search and storage system; - maintain international standards in data security and data infrastructure systems; - provide high-quality harmonised household microdata to researchers around the world; - enable interdisciplinary cross-national social science research covering 45+ countries, including the UK; - aim to broaden its reach and impact in academic and non-academic circles through focused communications strategies and collaborations. All surveyed households and their members are included in our estimates of Gini and Atkinson coefficients, percentile ratios, and poverty lines. Poverty lines are calculated based on the total population. Those lines are then used to calculate poverty rates among subgroups (children and the elderly). Thus, when calculating poverty rates, the subgroups vary, but the poverty lines remain constant within any given dataset. The data file includes the Gini coefficient calculated for different wealth welfare aggregates constructed for all LWS datasets in all waves (as of March 2022).

Gini Coefficient: Income Concentration Index: CF: Moscow Region data was reported at 0.372 NA in 2023. This stayed constant from the previous number of 0.372 NA for 2022. Gini Coefficient: Income Concentration Index: CF: Moscow Region data is updated yearly, averaging 0.378 NA from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 0.420 NA in 2012 and a record low of 0.304 NA in 1996. Gini Coefficient: Income Concentration Index: CF: Moscow Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA015: Household Income Ratio: 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).

Gini Coefficient: Income Concentration Index: North Western Federal District (NW): Republic of Karelia data was reported at 0.364 NA in 2023. This records an increase from the previous number of 0.324 NA for 2022. Gini Coefficient: Income Concentration Index: North Western Federal District (NW): Republic of Karelia data is updated yearly, averaging 0.343 NA from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 0.371 NA in 2012 and a record low of 0.284 NA in 1995. Gini Coefficient: Income Concentration Index: North Western Federal District (NW): Republic of Karelia data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA015: Household Income Ratio: Gini Coefficient.

Russia Gini Coefficient: Income Concentration Index: Year to Date data was reported at 0.410 NA in Dec 2018. This records an increase from the previous number of 0.402 NA for Sep 2018. Russia Gini Coefficient: Income Concentration Index: Year to Date data is updated quarterly, averaging 0.408 NA from Sep 2003 (Median) to Dec 2018, with 62 observations. The data reached an all-time high of 0.424 NA in Dec 2008 and a record low of 0.393 NA in Mar 2015. Russia Gini Coefficient: Income Concentration Index: Year to Date data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA014: Household Income Ratio: Gini Coefficient.

The average nominal salary in Russia was measured at ****** Russian rubles per month in 2024, marking an increase of roughly ****** Russian rubles compared to the previous year. After the currency redenomination and the financial default in 1998, the average wage levels in the country have grown exponentially. Who gets paid more in Russia? The Russian oil and gas industry paid the highest average wage to their employees, at ******* Russian rubles between January and September 2021. Salaries in management and management consulting were the second-highest, followed by air transportation and software development. On average, men earned more than women across all industries in the country. For example, in the information and communications sector, the average wage of a male worker amounted to nearly ******* Russian rubles, compared to under ****** Russian rubles for a female worker. Economic inequality in Russia The national income distribution of Russian households shows a high concentration of income and wealth in the hands of few individuals. In 2021, the mean income of the top one percent exceeded ******* euros before income tax, compared to ***** euros earned by the bottom 50 percent of the population. Furthermore, the richest one percent in Russia held an average wealth of over *** billion euros, whereas the personal wealth of the bottom 50 percent was measured at ***** euros in the same year. However, the income gap was forecast to decrease in Russia, with the Gini index expected to decline to **** by 2029.

Gini Coefficient: Income Concentration Index: SF: Rostov Region data was reported at 0.386 NA in 2022. This records a decrease from the previous number of 0.396 NA for 2021. Gini Coefficient: Income Concentration Index: SF: Rostov Region data is updated yearly, averaging 0.389 NA from Dec 1995 (Median) to 2022, with 28 observations. The data reached an all-time high of 0.401 NA in 2018 and a record low of 0.299 NA in 1995. Gini Coefficient: Income Concentration Index: SF: Rostov Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA015: Household Income Ratio: Gini Coefficient.

As of 2021, the countries in Europe with the greatest share of national wealth taken by the top 10 percent of wealthy people were Russia, Turkey, and Hungary, with over two-thirds of wealth in Russia being owned by the wealthiest decile. On the other hand, the Netherlands, Slovakia, and Denmark were the countries with the smallest share of national wealth going to the top 10 percent, with more than half of wealth in the Netherlands going to the bottom 90 percent. Ireland, Poland, and Greece stand out, as in these countries the 50 percent of people who own the least wealth in fact have negative net wealth, meaning that the value of their debt is greater than the value of their gross wealth.