This statistic shows the inequality of income distribution in China from 2005 to 2023 based on the Gini Index. In 2023, China reached a score of ************ points. The Gini Index is a statistical measure that is used to represent unequal distributions, e.g. income distribution. It can take any value between 1 and 100 points (or 0 and 1). The closer the value is to 100 the greater is the inequality. 40 or 0.4 is the warning level set by the United Nations. The Gini Index for South Korea had ranged at about **** in 2022. Income distribution in China The Gini coefficient is used to measure the income inequality of a country. The United States, the World Bank, the US Central Intelligence Agency, and the Organization for Economic Co-operation and Development all provide their own measurement of the Gini coefficient, varying in data collection and survey methods. According to the United Nations Development Programme, countries with the largest income inequality based on the Gini index are mainly located in Africa and Latin America, with South Africa displaying the world's highest value in 2022. The world's most equal countries, on the contrary, are situated mostly in Europe. The United States' Gini for household income has increased by around ten percent since 1990, to **** in 2023. Development of inequality in China Growing inequality counts as one of the biggest social, economic, and political challenges to many countries, especially emerging markets. Over the last 20 years, China has become one of the world's largest economies. As parts of the society have become more and more affluent, the country's Gini coefficient has also grown sharply over the last decades. As shown by the graph at hand, China's Gini coefficient ranged at a level higher than the warning line for increasing risk of social unrest over the last decade. However, the situation has slightly improved since 2008, when the Gini coefficient had reached the highest value of recent times.

Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax & Post-Social Trfr: Per Capita: EAH data was reported at 0.376 Unit in 2021. This records a decrease from the previous number of 0.402 Unit for 2016. Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax & Post-Social Trfr: Per Capita: EAH data is updated yearly, averaging 0.401 Unit from Dec 2006 (Median) to 2021, with 4 observations. The data reached an all-time high of 0.412 Unit in 2006 and a record low of 0.376 Unit in 2021. Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax & Post-Social Trfr: Per Capita: EAH data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.G130: Gini Coefficient. Data prior to 2011 excludes Government’s one-off relief measures.

Historical dataset showing China income inequality - gini coefficient by year from N/A to N/A.

View yearly updates and historical trends for China GINI Index. Source: World Bank. Track economic data with YCharts analytics.

This statistic shows the Gini's concentration coefficient in Taiwan from 1980 to 2024. In 2024, the Gini index in Taiwan was 34.1 points, which indicates a slight increase compared to 2023. In the countries having relative equality in their distributions of income, the value of the Gini coefficient usually ranges between the scores of 20 and 35. In comparison, the Gini index in China ranged at around 46.5 points in 2023.

CN: Engel's Coefficient: ytd: Rural data was reported at 33.800 % in Mar 2025. This records an increase from the previous number of 32.300 % for Dec 2024. CN: Engel's Coefficient: ytd: Rural data is updated quarterly, averaging 37.950 % from Dec 1978 (Median) to Mar 2025, with 64 observations. The data reached an all-time high of 67.700 % in Dec 1978 and a record low of 28.400 % in Sep 2019. CN: Engel's Coefficient: ytd: Rural data remains active status in CEIC and is reported by Ministry of Commerce. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Gini Coefficient and Engel's Coefficient.

In 2024, the average annual per capita disposable income of households in China amounted to approximately 41,300 yuan. Annual per capita income in Chinese saw a significant rise over the last decades and is still rising at a high pace. During the last ten years, per capita disposable income roughly doubled in China. Income distribution in China As an emerging economy, China faces a large number of development challenges, one of the most pressing issues being income inequality. The income gap between rural and urban areas has been stirring social unrest in China and poses a serious threat to the dogma of a “harmonious society” proclaimed by the communist party. In contrast to the disposable income of urban households, which reached around 54,200 yuan in 2024, that of rural households only amounted to around 23,100 yuan. Coinciding with the urban-rural income gap, income disparities between coastal and western regions in China have become apparent. As of 2023, households in Shanghai and Beijing displayed the highest average annual income of around 84,800 and 81,900 yuan respectively, followed by Zhejiang province with 63,800 yuan. Gansu, a province located in the West of China, had the lowest average annual per capita household income in China with merely 25,000 yuan. Income inequality in China The Gini coefficient is the most commonly used measure of income inequality. For China, the official Gini coefficient also indicates the astonishing inequality of income distribution in the country. Although the Gini coefficient has dropped from its high in 2008 at 49.1 points, it still ranged at a score of 46.5 points in 2023. The United Nations have set an index value of 40 as a warning level for serious inequality in a society.

Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax data was reported at 0.524 Unit in 2016. This records an increase from the previous number of 0.521 Unit for 2011. Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax data is updated yearly, averaging 0.521 Unit from Dec 1996 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.524 Unit in 2016 and a record low of 0.508 Unit in 1996. Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.G130: Gini Coefficient.

Gini coefficient in China from 1995 to 2014.

Hong Kong SAR (China) Gini Coefficient: Monthly Household Income (MHI): Original data was reported at 0.539 Unit in 2016. This records an increase from the previous number of 0.537 Unit for 2011. Hong Kong SAR (China) Gini Coefficient: Monthly Household Income (MHI): Original data is updated yearly, averaging 0.497 Unit from Dec 1971 (Median) to 2016, with 10 observations. The data reached an all-time high of 0.539 Unit in 2016 and a record low of 0.430 Unit in 1976. Hong Kong SAR (China) Gini Coefficient: Monthly Household Income (MHI): Original data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.G130: Gini Coefficient.

The Gini coefficients of TCM health resources from 2012 to 2020.

Chine: Gini income inequality index: Pour cet indicateur, La Banque mondiale fournit des données pour la Chine de 1990 à 2021. La valeur moyenne pour Chine pendant cette période était de 38.88 index points avec un minimum de 32.2 index points en 1990 et un maximum de 43.7 index points en 2010.

In China hat der Gini-Index im Jahr 2023 rund 46,5 Punkte betragen. Die Statistik zeigt die Entwicklung der Einkommensungleichheit anhand des Gini-Index in den Jahren 2013 bis 2023. Was ist der Gini-Index? Der Gini-Index oder Gini-Koeffizient ist ein statistisches Maß, das zur Darstellung von Ungleichverteilungen verwendet wird. Er kann einen beliebigen Wert zwischen 0 und 100 Punkten annehmen. Der Gini-Index zeigt die Abweichung der Verteilung des verfügbaren Einkommens auf Personen oder Haushalte innerhalb eines Landes von einer vollkommen gleichen Verteilung. Ein Wert von 0 bedeutet absolute Gleichheit, ein Wert von 100 absolute Ungleichheit.

In 2024, the average annual per capita disposable income of rural households in China was approximately ****** yuan, roughly ** percent of the income of urban households. Although living standards in China’s rural areas have improved significantly over the past 20 years, the income gap between rural and urban households is still large. Income increase of China’s households From 2000 to 2020, disposable income per capita in China increased by around *** percent. The fast-growing economy has inevitably led to the rapid income increase. Furthermore, inflation has been maintained at a lower rate in recent years compared to other countries. While the number of millionaires in China has increased, many of its population are still living in humble conditions. Consequently, the significant wealth gap between China’s rich and poor has become a social problem across the country. However, in recent years rural areas have been catching up and disposable income has been growing faster than in the cities. This development is also reflected in the Gini coefficient for China, which has decreased since 2008. Urbanization in China The urban population in China surpassed its rural population for the first time in 2011. In fact, the share of the population residing in urban areas is continuing to increase. This is not surprising considering remote, rural areas are among the poorest areas in China. Currently, poverty alleviation has been prioritized by the Chinese government. The measures that the government has taken are related to relocation and job placement. With the transformation and expansion of cities to accommodate the influx of city dwellers, neighboring rural areas are required for the development of infrastructure. Accordingly, land acquisition by the government has resulted in monetary gain by some rural households.

Food security is one of the important issues in the current world development process. The article takes 31 provinces (districts and cities) in China as the research object and constructs a multidimensional food security level evaluation index system from four dimensions: quantitative security, nutritional security, ecological security, and capacity security. Using the entropy method, China’s food security index was calculated for the ten-year period from 2013 to 2022. Overall, China’s food security level showed an upward trend during the decade, with the provinces of Shandong, Heilongjiang, and Henan having the highest level of security. The distribution dynamics of food security and its spatiotemporal evolution in the seven regions were examined using the Dagum Gini coefficient and its decomposition, and the absolute and conditional convergence of food security in the different areas was verified. The results of the study show that the provinces within East China have the largest gap in food security levels between them, and there is absolute β-convergence. Looking at China as a whole, the development of its food security level is characterized by significant convergence, which means that provinces with a low level of food security will have a faster rate of growth than those with a high level of food security, resulting in a gradual narrowing of the gap in food security levels between provinces.

This dataset is about book series. It has 1 row and is filtered where the books is The trend of the Gini coefficient of China. It features 4 columns: authors, books, and publication dates.

Hong Kong SAR (China) Gini Coefficient: MHI: Original: Per Capita data was reported at 0.499 Unit in 2016. This records a decrease from the previous number of 0.507 Unit for 2011. Hong Kong SAR (China) Gini Coefficient: MHI: Original: Per Capita data is updated yearly, averaging 0.499 Unit from Dec 1996 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.507 Unit in 2011 and a record low of 0.491 Unit in 2001. Hong Kong SAR (China) Gini Coefficient: MHI: Original: Per Capita data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.G130: Gini Coefficient.

This dataset contains four files: (1) Raw data of 13 indicators closely related to society, economy, environment, infrastructure, and innovation at the provincial level in China from 1990 to 2021, including GDP per capita, disposable income per capita, rate of high school graduates and above, density of physicians per 10,000 people, unemployment rate, living space per capita, PM2.5 concentration, carbon emission per capita, urban green space per capita, road density, internet penetration rate, patents granted per capita, and R&D expenditure per capita; (2) Population-weighted coefficient of variation for the 13 indicators; (3) Gini coefficient for the 13 indicators; (4) Moran's I for the 13 indicators.

Gini coefficients of urban and rural residents’ pension in China and the four major regions from 2010 to 2022

This statistic shows the Gini's concentration coefficient in Taiwan from 1980 to 2023. In 2023, the Gini index in Taiwan was 33.9 points, ranging at roughly the same level as in 2010. In the countries having relative equality in their distributions of income, the value of the Gini coefficient usually ranges between the scores of 20 and 35. In comparison, the Gini index in China ranged at around 46.7 points in 2022.