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uk has been very high in the past and did not change much until the onset of industrialization incomes used to be remarkably concentrated pre industrial evolution up to 40 of total income went into the pockets of the richest 5 50 in the more recent years income distribution is still an issue the uk experienced a large increase in inequality during the 1980s the incomes of the highest deciles increase while everyone else was stagnant uneven growth in the years leading up to 1991 meant further increases in inequality throughout the 1990s and 2000s more even growth across the distribution meant little changes in inequality with rising incomes for everybody in sight of brexit there is more predicted income distribution discrepancies between wages 51 52 2019 the united kingdom was doing a lot to reduce one of the widest gaps between rich and poor citizens which has led to it reaching 13th place in global income inequality rankings 43 post tax gini coefficient 0 35 unemployment rate 4 3 gdp per capita 39 425 poverty rate 11 1 43 russia edit post tax gini coefficient 0 38 unemployment rate 5 2 gdp per capita 24 417 poverty rate na occupying the 11th place in the ranking of income inequality in the world usa today stated russia has a corruption perceptions index score of 28 tied for the worst among oecd member states and affiliates and one of the lowest in the world 43 the cause of the income gap are the close connections of russian oligarchs and the government thanks to these relationships oligarchs get lucrative business deals and earn more and more money south africa edit south africa is well known for being one of the most unequal societies in the world the first democratic elections in 1994 were promising in terms of equal opportunities and living standards for south african population but a few decades later the inequality is still very high for instance the top decile s share of income rose from 47 percent in 1994 to 60 percent in 2008 and 65 percent in 2017 the share of the poorest half of the population fell from 13 percent to 9 percent to 6 percent 53 an explanation for this trend is that south africa governs a dual economy splitting the country into two different section one section is built around an advanced capitalist economy while the other one is highly underdeveloped and mostly filled by black south africans which further leads to racial division of local population as a result on average a black south african earns three times less than a white south african 54 post tax gini coefficient 0 62 unemployment rate 27 3 gdp per capita 12 287 poverty rate 26 6 the highest income inequality is in south africa based on 2019 data 43 brazil edit income distribution is typically higher in developing economies than in advanced economies in most major emerging economies income inequality rose over the past three decades 2016 namely in china russia south africa and india 55 although some might argue 56 57 the brazilian institute of statistics claims that from 2004 to 2014 income inequality in brazil declined the gini coefficient for household per capita income has gone down from 0 54 to 0 49 this decline is due to boosted income of the poor by sustained economic growth and implementation of social policies for example increase in minimum wage or targeted social programs in particular the bolsa família program introduced by reelected president luiz inácio lula da silva whose goal is to support families in need although criticized this program has not only helped reduce income inequality but also increased literacy and lower child labor and mortality in addition progressive taxation as well as schooling demographic changes and labor market segmentation contributed to reducing inequality even though brazil has managed to lower its income inequality it is still very high compared to the rest of the world with around half of the total income being concentrated among the richest 10 per cent a little above a fifth among the top 1 per cent and close to one tenth among the top 0 1 per cent 58 gini coefficient 0 52 2022 unemployment rate 8 032 2024 59 gdp per capita 17 827 6 2022 poverty rate 1 4 3 65 2023 china edit main article income distribution in china china is one the fastest growing economies in the world since its reform policies in late 1970s however this phenomenon is often accompanied by an increase in income inequality china s gini coefficient has risen from 0 31 to 0 491 between the years 1981 and 2008 the main reason for china s high gini coefficient is an income gap between rural and urban household the share of the urban rural income gap in total income inequality increased by 10 per cent over the period 1995 2007 rising from 38 to 48 60 in china constraints on migration limit the extent to which rural residents can move to urban areas in search of higher incomes and thereby reduce the urban rural income gap although the urbanization rate has more than doubled in last 50 years the prosses is still decelerated by various institutional and social barriers as a result the share of national income of china s top 10 wealthiest people is 41 61 gini coefficient 0 371 2020 unemployment rate 5 1 2024 62 gdp per capita 21 482 6 2022 poverty rate 2 3 65 2020 nordic countries edit in the past the income distribution in nordic countries including denmark sweden norway finland and iceland was renowned for being relatively low compared to the rest of the world this is caused by a combination of factors such as progressive taxation strong social welfare system strong labor market institutions and a culture of social cohesion which definitely contributes to them being notoriously the happiest in the world moreover nordic countries seem to be unaffected by the trends towards increasing inequality and higher unemployment observed in other countries particularly the us and the uk 63 even though each of the nordic countries have experienced temporarily rising income inequality and they have all been affected by economic crises they all shown a remarkable ability to recover and return to a persistent growth path and a stable relatively low income inequality the following data is for denmark sweden norway finland and iceland respectively gini coefficient 0 283 2021 0 298 2021 0 277 2019 0 277 2021 0 261 2017 unemployment rate 4 892 2024 8 365 2024 3 8 2024 4 892 2024 3 383 2024 gdp per capita 77 953 7 2022 68 178 0 2022 121 259 2 2022 62 823 0 2022 71 840 1 2022 poverty rate 0 2 3 65 2021 0 8 3 65 2021 0 3 3 65 2019 0 3 65 2021 0 3 65 2017 czechia edit czech wage distribution 2024 64 the netherlands slovenia and czechia have the lowest rates of people at risk of poverty or social exclusion in the eu with shares below 16 0 the unemployment rate in czech republic is projected to remain stable at 2 6 over the next two years among the lowest in the eu the minimum wage in czechia is one of the lowest in the eu 66 of employees in czechia have a wage lower than the average wage development of income distribution as a stochastic process edit it is difficult to create a realistic and not complicated theoretical model because the forces determining the distribution of income doi are varied and complex and they continuously interact and fluctuate in a model by champernowne 65 the author assumes that the income scale is divided into an enumerable infinity of income ranges which have uniform proportionate distribution the development through time of the doi between ranges is regarded to be a stochastic process the income of any person in one year may depend on the income in the previous year and on a chance of progress assuming that to every dying income receiver there is an heir to his or her income in the following year and vice versa this implies that the number of incomes is constant through time under these assumptions any historical development of the doi can be described by the following vectors and matrices x r 0 displaystyle x_ r 0 number of the income receivers in range r 1 2 in the initial year y 0 displaystyle y_ 0 p r s t displaystyle p _ rs t matrix that contains proportions of the occupants of r th range in the year y t displaystyle y_ t shifted to the s th range in the following year y t 1 displaystyle y_ t 1 the vector of the doi can be expressed as x s t 1 r 0 x r t p r s t displaystyle x_ s t 1 sum _ r 0 infty x_ r t p _ rs t the elements of proportion matrices can be estimated from historical data see also edit business and economics portal decoupling of wages from productivity gini coefficient kinetic exchange models of markets poverty redistribution of wealth subsidy wage price spiral wealth distribution united states affluence in the united states income inequality in the united states personal income in the united states poverty in the united states references edit o sullivan arthur sheffrin steven m 2003 economics principles in action upper saddle river new jersey 07458 pearson prentice hall p 348 isbn 978 0 13 063085 8 cite book 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