93 datasets found
  1. M

    China Poverty Rate

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). China Poverty Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/chn/china/poverty-rate
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description
    China poverty rate for 2021 was 21.00%, a 8.5% decline from 2020.
    <ul style='margin-top:20px;'>
    
    <li>China poverty rate for 2020 was <strong>29.50%</strong>, a <strong>0.6% increase</strong> from 2019.</li>
    <li>China poverty rate for 2019 was <strong>28.90%</strong>, a <strong>3.3% decline</strong> from 2018.</li>
    <li>China poverty rate for 2018 was <strong>32.20%</strong>, a <strong>4.1% decline</strong> from 2017.</li>
    </ul>Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.
    
  2. Ratio of residents living below the extreme poverty line in China 2000-2020

    • statista.com
    Updated Sep 6, 2023
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    Statista (2023). Ratio of residents living below the extreme poverty line in China 2000-2020 [Dataset]. https://www.statista.com/statistics/1086836/china-poverty-ratio/
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    Dataset updated
    Sep 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    Since 2000, the share of people living in extreme poverty in rural China has been constantly decreasing. In February 2021, the Chinese government announced that - based on the current definition of poverty - all residents in China have been relieved from extreme poverty.

  3. T

    China - Poverty Headcount Ratio At National Poverty Line (% Of Population)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 21, 2013
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    TRADING ECONOMICS (2013). China - Poverty Headcount Ratio At National Poverty Line (% Of Population) [Dataset]. https://tradingeconomics.com/china/poverty-headcount-ratio-at-national-poverty-line-percent-of-population-wb-data.html
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jul 21, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    China
    Description

    Poverty headcount ratio at national poverty lines (% of population) in China was reported at 0 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Poverty headcount ratio at national poverty line (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  4. Number of rural residents living below the poverty line in China 2018-2020,...

    • statista.com
    Updated May 22, 2024
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    Statista (2024). Number of rural residents living below the poverty line in China 2018-2020, by region [Dataset]. https://www.statista.com/statistics/1086908/china-poverty-population-by-region/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    Since 2000, the share of people living in extreme poverty in rural China has been constantly decreasing. In February 2021, the Chinese government announced that - based on the current definition of poverty - all residents in China have been relieved from extreme poverty. In the past, extreme poverty had been more common in western and central parts of China, and in these regions the number of poor households is still considerably higher today.

  5. C

    China Poverty Headcount Ratio at Societal Poverty Lines: % of Population

    • ceicdata.com
    Updated Feb 1, 2023
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    CEICdata.com (2023). China Poverty Headcount Ratio at Societal Poverty Lines: % of Population [Dataset]. https://www.ceicdata.com/en/china/social-poverty-and-inequality
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    Dataset updated
    Feb 1, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    China
    Description

    Poverty Headcount Ratio at Societal Poverty Lines: % of Population data was reported at 19.000 % in 2021. This records a decrease from the previous number of 20.900 % for 2020. Poverty Headcount Ratio at Societal Poverty Lines: % of Population data is updated yearly, averaging 31.700 % from Dec 1990 (Median) to 2021, with 19 observations. The data reached an all-time high of 72.000 % in 1990 and a record low of 19.000 % in 2021. Poverty Headcount Ratio at Societal Poverty Lines: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Social: Poverty and Inequality. The poverty headcount ratio at societal poverty line is the percentage of a population living in poverty according to the World Bank's Societal Poverty Line. The Societal Poverty Line is expressed in purchasing power adjusted 2017 U.S. dollars and defined as max($2.15, $1.15 + 0.5*Median). This means that when the national median is sufficiently low, the Societal Poverty line is equivalent to the extreme poverty line, $2.15. For countries with a sufficiently high national median, the Societal Poverty Line grows as countries’ median income grows.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  6. Number of rural residents living below the poverty line in China 2000-2020

    • statista.com
    Updated Sep 6, 2023
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    Statista (2023). Number of rural residents living below the poverty line in China 2000-2020 [Dataset]. https://www.statista.com/statistics/866620/number-of-rural-residents-living-in-poverty-in-china/
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    Dataset updated
    Sep 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    This statistic illustrates the number of rural residents in China living below the poverty line in selected years from 2000 to 2020. Since 2000, poverty in rural China has been constantly decreasing. In February 2021, the Chinese government announced that - based on the current definition of poverty - all residents in China have been relieved from extreme poverty.

  7. M

    China Poverty Rate | Historical Data | 1981-2021

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). China Poverty Rate | Historical Data | 1981-2021 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/chn/china/poverty-rate
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    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1981 - Dec 31, 2021
    Area covered
    China
    Description

    Historical dataset showing China poverty rate by year from 1981 to 2021.

  8. C

    China Poverty ratio - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jul 19, 2019
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    Globalen LLC (2019). China Poverty ratio - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/China/poverty_ratio/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Jul 19, 2019
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2000 - Dec 31, 2020
    Area covered
    China
    Description

    China: Poverty, percent of population: The latest value from 2020 is 0 percent, a decline from 0.6 percent in 2019. In comparison, the world average is 19.31 percent, based on data from 54 countries. Historically, the average for China from 2000 to 2020 is 11.65 percent. The minimum value, 0 percent, was reached in 2020 while the maximum of 49.8 percent was recorded in 2000.

  9. g

    World Bank - China - From poor areas to poor people : China's evolving...

    • gimi9.com
    Updated Apr 7, 2009
    + more versions
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    (2009). World Bank - China - From poor areas to poor people : China's evolving poverty reduction agenda - an assessment of poverty and inequality in China : Main report | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_10444409/
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    Dataset updated
    Apr 7, 2009
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    China
    Description

    China's progress in poverty reduction over the last 25 years is enviable. One cannot fail to be impressed by what this vast nation of 1.3 billion people has achieved in so little time. In terms of a wide range of indicators, the progress has been remarkable. Poverty in terms of income and consumption has been dramatically reduced. Progress has also been substantial in terms of human development indicators. Most of the millennium development goals have either already been achieved or the country is well on the way to achieving them. As a result of this progress, the country is now at a very different stage of development than it was at the dawn of the economic reforms at the beginning of the 1980s. China's poverty reduction performance has been even more striking. Between 1981 and 2004, the fraction of the population consuming below this poverty line fell from 65 percent to 10 percent, and the absolute number of poor fell from 652 million to 135 million, a decline of over half a billion people. The most rapid declines in poverty, in both the poverty rate and the number of poor, occurred during the 6th, 8th, and 10th plans. During the 7th plan period the number of poor actually rose, while in the 9th plan period, the poverty rate declined only marginally. But the pace of poverty reduction resumed between 2001 and 2004 and there are indications that during the first couple of years of the 11th plan poverty has continued to decline rapidly. The most recent official estimate of rural poverty in China for 2007 puts the number of poor at 14.79 million, or less than 2 percent of the rural population. While there is no official urban poverty line, estimates by others have found poverty levels in urban areas to be negligible using an urban poverty line that is comparable to the official poverty line for rural areas. These estimates thus suggest that only about 1 percent of China's population is currently in extreme poverty. Notwithstanding this tremendous success, the central thesis of this report is that the task of poverty reduction in many ways continues and in some respects has become more demanding.

  10. C

    China CN: Population: Rural Poverty

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2024). China CN: Population: Rural Poverty [Dataset]. https://www.ceicdata.com/en/china/population/cn-population-rural-poverty
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1995 - Dec 1, 2018
    Area covered
    China
    Variables measured
    Population
    Description

    China Population: Rural Poverty data was reported at 16.600 Person mn in 2018. This records a decrease from the previous number of 30.460 Person mn for 2017. China Population: Rural Poverty data is updated yearly, averaging 144.025 Person mn from Dec 1978 (Median) to 2018, with 16 observations. The data reached an all-time high of 770.390 Person mn in 1978 and a record low of 16.600 Person mn in 2018. China Population: Rural Poverty data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population. The current rural poverty standard is annual income RMB2300 (2010's constant price) per person each year. 现行农村贫困标准为每人每年收入2300元(2010年不变价)。

  11. M

    Malaysia Hardcore Poverty Rates: Chinese

    • ceicdata.com
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    CEICdata.com (2022). Malaysia Hardcore Poverty Rates: Chinese [Dataset]. https://www.ceicdata.com/en/malaysia/household-income-and-basic-amenities-survey-poverty-rates/hardcore-poverty-rates-chinese
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1984 - Dec 1, 2012
    Area covered
    Malaysia
    Description

    Malaysia Hardcore Poverty Rates: Chinese data was reported at 0.032 % in 2012. This records a decrease from the previous number of 0.082 % for 2009. Malaysia Hardcore Poverty Rates: Chinese data is updated yearly, averaging 0.200 % from Dec 1984 (Median) to 2012, with 12 observations. The data reached an all-time high of 2.190 % in 1984 and a record low of 0.032 % in 2012. Malaysia Hardcore Poverty Rates: Chinese data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G064: Household Income and Basic Amenities Survey: Poverty Rates.

  12. China CN: Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of Population

    • ceicdata.com
    Updated Dec 15, 2017
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    CEICdata.com (2017). China CN: Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of Population [Dataset]. https://www.ceicdata.com/en/china/social-poverty-and-inequality/cn-poverty-headcount-ratio-at-215-a-day-2017-ppp--of-population
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    Dataset updated
    Dec 15, 2017
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    China
    Description

    China Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of Population data was reported at 0.000 % in 2021. This stayed constant from the previous number of 0.000 % for 2020. China Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of Population data is updated yearly, averaging 8.300 % from Dec 1990 (Median) to 2021, with 19 observations. The data reached an all-time high of 72.000 % in 1990 and a record low of 0.000 % in 2021. China Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Social: Poverty and Inequality. Poverty headcount ratio at $2.15 a day is the percentage of the population living on less than $2.15 a day at 2017 purchasing power adjusted prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  13. M

    Vietnam Poverty Rate

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Vietnam Poverty Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/VNM/china/poverty-rate
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Vietnam
    Description
    Vietnam poverty rate for 2022 was 21.50%, a 1.1% increase from 2020.
    <ul style='margin-top:20px;'>
    
    <li>Vietnam poverty rate for 2020 was <strong>20.40%</strong>, a <strong>3.8% decline</strong> from 2018.</li>
    <li>Vietnam poverty rate for 2018 was <strong>24.20%</strong>, a <strong>5.6% decline</strong> from 2016.</li>
    <li>Vietnam poverty rate for 2016 was <strong>29.80%</strong>, a <strong>8.1% decline</strong> from 2014.</li>
    </ul>Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.
    
  14. Per capita disposable income in urban and rural China 1990-2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Per capita disposable income in urban and rural China 1990-2024 [Dataset]. https://www.statista.com/statistics/259451/annual-per-capita-disposable-income-of-rural-and-urban-households-in-china/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    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.

  15. C

    China Proportion of Population Pushed Below the 60% Median Consumption...

    • ceicdata.com
    Updated Feb 16, 2025
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    CEICdata.com (2025). China Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % [Dataset]. https://www.ceicdata.com/en/china/social-poverty-and-inequality/proportion-of-population-pushed-below-the-60-median-consumption-poverty-line-by-outofpocket-health-expenditure-
    Explore at:
    Dataset updated
    Feb 16, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1995 - Dec 1, 2018
    Area covered
    China
    Description

    China Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data was reported at 4.680 % in 2018. This records an increase from the previous number of 3.560 % for 2013. China Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data is updated yearly, averaging 3.560 % from Dec 1995 (Median) to 2018, with 5 observations. The data reached an all-time high of 4.680 % in 2018 and a record low of 1.110 % in 1995. China Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Social: Poverty and Inequality. This indicator shows the fraction of a country’s population experiencing out-of-pocket health impoverishing expenditures, defined as expenditures without which the household they live in would have been above the 60% median consumption but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).;Global Health Observatory. Geneva: World Health Organization; 2023. (https://www.who.int/data/gho/data/themes/topics/financial-protection);Weighted average;This indicator is related to Sustainable Development Goal 3.8.2 [https://unstats.un.org/sdgs/metadata/].

  16. H

    China - Human Development Indicators

    • data.humdata.org
    csv
    Updated May 4, 2021
    + more versions
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    UNDP Human Development Reports Office (HDRO) (2021). China - Human Development Indicators [Dataset]. https://data.humdata.org/dataset/61f94a7b-4f7d-4f74-a65e-93e24ef671e7?force_layout=desktop
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    csv(124242), csv(972)Available download formats
    Dataset updated
    May 4, 2021
    Dataset provided by
    UNDP Human Development Reports Office (HDRO)
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    China
    Description

    The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities.

    The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.

    The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

  17. f

    Summary statistics.

    • plos.figshare.com
    xls
    Updated Feb 20, 2024
    + more versions
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    Wenguang Yu; Guofeng Guan; Yifan Wang; Qi Wang (2024). Summary statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0298243.t003
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    xlsAvailable download formats
    Dataset updated
    Feb 20, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Wenguang Yu; Guofeng Guan; Yifan Wang; Qi Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This paper develops a multidimensional poverty index (MPI) evaluation system using multiple measures. We use the China Family Panel Study (CFPS) data to build balanced panel data from 2012 to 2018. Employing the probit model to analyze the impact of land transfer on relative poverty incidence, as well as utilizing the two-way fixed effects model and the logit model, we approach the issue from the perspective of multidimensional relative poverty identification. Our study indicates a decrease in relative poverty among rural households since 2012. Nonetheless, the overall incidence of relative poverty among rural households in China remains high at 20.6%, highlighting the severity of this issue in rural China. Moreover, we examine the heterogeneity of the poverty reduction effects of land transfer-in and land transfer-out. Land transfer can significantly reduce the incidence of relative poverty among rural households, with distinct mechanisms for land transfer-in and land transfer-out. Land transfer-in primarily reduces the relative poverty incidence of rural households through the education, housing, and land dimensions, while land transfer-out focuses on the quality-of-life dimension. Overall, land transfer-out has a more significant poverty reduction effect than land transfer-in. Furthermore, our study reveals that the reduction effect of land transfer on the incidence of relative poverty among rural households persists for at least two years, but by the fourth year, this effect disappears.

  18. f

    Multidimensional poverty dimensions, indicators, weights and cutoffs.

    • plos.figshare.com
    xls
    Updated Feb 20, 2024
    + more versions
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    Wenguang Yu; Guofeng Guan; Yifan Wang; Qi Wang (2024). Multidimensional poverty dimensions, indicators, weights and cutoffs. [Dataset]. http://doi.org/10.1371/journal.pone.0298243.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 20, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Wenguang Yu; Guofeng Guan; Yifan Wang; Qi Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multidimensional poverty dimensions, indicators, weights and cutoffs.

  19. Gross domestic product (GDP) of China 1985-2030

    • ai-chatbox.pro
    • statista.com
    Updated May 30, 2025
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    Statista Research Department (2025). Gross domestic product (GDP) of China 1985-2030 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F7747%2Fgross-domestic-product-gdp-worldwide%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In 2024, the gross domestic product (GDP) of China amounted to around 18.7 trillion U.S. dollars. In comparison to the GDP of the other BRIC countries India, Russia and Brazil, China came first that year and second in the world GDP ranking. The stagnation of China's GDP in U.S. dollar terms in 2022 and 2023 was mainly due to the appreciation of the U.S. dollar. China's real GDP growth was 3.1 percent in 2022 and 5.4 percent in 2023. In 2024, per capita GDP in China reached around 13,300 U.S. dollars. Economic performance in China Gross domestic product (GDP) is a primary economic indicator. It measures the total value of all goods and services produced in an economy over a certain time period. China's economy used to grow quickly in the past, but the growth rate of China’s real GDP gradually slowed down in recent years, and year-on-year GDP growth is forecasted to range at only around four percent in the years after 2024. Since 2010, China has been the world’s second-largest economy, surpassing Japan.China’s emergence in the world’s economy has a lot to do with its status as the ‘world’s factory’. Since 2013, China is the largest export country in the world. Some argue that it is partly due to the undervalued Chinese currency. The Big Mac Index, a simplified and informal way to measure the purchasing power parity between different currencies, indicates that the Chinese currency yuan was roughly undervalued by 38 percent in 2024. GDP development Although the impressive economic development in China has led millions of people out of poverty, China is still not in the league of industrialized countries on the per capita basis. To name one example, the U.S. per capita economic output was more than six times as large as in China in 2024. Meanwhile, the Chinese society faces increased income disparities. The Gini coefficient of China, a widely used indicator of economic inequality, has been larger than 0.45 over the last decade, whereas 0.40 is the warning level for social unrest.

  20. C

    China Proportion of People Living Below 50 Percent Of Median Income: %

    • ceicdata.com
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    CEICdata.com, China Proportion of People Living Below 50 Percent Of Median Income: % [Dataset]. https://www.ceicdata.com/en/china/social-poverty-and-inequality/proportion-of-people-living-below-50-percent-of-median-income-
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    China
    Description

    China Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 11.600 % in 2021. This records a decrease from the previous number of 11.900 % for 2020. China Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 15.100 % from Dec 1990 (Median) to 2021, with 19 observations. The data reached an all-time high of 19.500 % in 2010 and a record low of 8.900 % in 1990. China Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

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MACROTRENDS (2025). China Poverty Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/chn/china/poverty-rate

China Poverty Rate

China Poverty Rate

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18 scholarly articles cite this dataset (View in Google Scholar)
csvAvailable download formats
Dataset updated
May 31, 2025
Dataset authored and provided by
MACROTRENDS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
China
Description
China poverty rate for 2021 was 21.00%, a 8.5% decline from 2020.
<ul style='margin-top:20px;'>

<li>China poverty rate for 2020 was <strong>29.50%</strong>, a <strong>0.6% increase</strong> from 2019.</li>
<li>China poverty rate for 2019 was <strong>28.90%</strong>, a <strong>3.3% decline</strong> from 2018.</li>
<li>China poverty rate for 2018 was <strong>32.20%</strong>, a <strong>4.1% decline</strong> from 2017.</li>
</ul>Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.
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