100+ datasets found
  1. Number of rural residents living below the poverty line in China 2018-2020,...

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). 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
    Jul 18, 2025
    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 *************, 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.

  2. 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 (Vol. 2) : Executive summary | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_12752224/
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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.

  3. Chinese cities with largest and smallest per capita GDP 2021

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Chinese cities with largest and smallest per capita GDP 2021 [Dataset]. https://www.statista.com/statistics/1183530/china-city-comparison-largest-and-smallest-per-capita-gross-domestic-product-gdp/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    China
    Description

    Per capita gross domestic product (GDP) of cities in China varies tremendously, mainly depending on the location of the city. Cities with the highest per capita GDP are mainly to be found in coastal provinces in East China and in South China, like Guangdong province. The poorest cities are located in the still less developed western parts of China, like Gansu province, or in the Chinese rust belt in Northeastern China, like Heilongjiang province.

  4. 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.

  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. Per capita disposable income in urban and rural China 1990-2024

    • tokrwards.com
    Updated Mar 3, 2025
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    Statista Research Department (2025). Per capita disposable income in urban and rural China 1990-2024 [Dataset]. https://tokrwards.com/?_=%2Ftopics%2F5943%2Fgrocery-shopping-in-china%2F%23D%2FIbH0PhabzN99vNwgDeng71Gw4euCn%2B
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    Dataset updated
    Mar 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    China
    Description

    In 2024, the average annual per capita disposable income of rural households in China was approximately 23,119 yuan, roughly 43 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 700 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.

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

    • tokrwards.com
    Updated Nov 15, 2024
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    The citation is currently not available for this dataset.
    Explore at:
    Dataset updated
    Nov 15, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    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.

  9. f

    Statistics of spatial relative poverty in various regions in China.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Aug 2, 2024
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    Hu, Peiqi; Gao, Shuhui; Huang, Wei; Han, Yue; Ding, Shiyu (2024). Statistics of spatial relative poverty in various regions in China. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001406104
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    Dataset updated
    Aug 2, 2024
    Authors
    Hu, Peiqi; Gao, Shuhui; Huang, Wei; Han, Yue; Ding, Shiyu
    Area covered
    China
    Description

    Statistics of spatial relative poverty in various regions in China.

  10. e

    Survey of Households in Poor Urban Neighbourhoods in China, 2006-2007 -...

    • b2find.eudat.eu
    Updated Oct 23, 2023
    + more versions
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    (2023). Survey of Households in Poor Urban Neighbourhoods in China, 2006-2007 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/251f09b5-574e-5be0-9950-83b328f0ad9f
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    Dataset updated
    Oct 23, 2023
    Area covered
    China
    Description

    Abstract copyright UK Data Service and data collection copyright owner. This study investigates the alarming rise of urban poverty in China; in particular the patterns of urban poverty and the institutional causes are examined. The researchers look for evidence of institutional innovations that have emerged as individuals and organisations seek to negotiate more secure access to vital civic goods and services. A case study approach was used due to the complexity of the issue and the size of the Chinese urban population. Six cities were chosen and four neighbourhoods in each city were investigated. These cities were distributed in the costal, central and western region respectively, including Guangzhou, Nanjing, Harbin, Wuhan, Kumin, and Xi’an. Further information is available from the ESRC Award webpage. Main Topics: The questionnaire has sections on:demographic informationhousehold income and expendituresocial benefits/welfarehousingemployment situationneighbourhood profilecommuting and relocation One-stage stratified or systematic random sample Face-to-face interview

  11. M

    China Poverty Rate | Historical Chart | Data | 1981-2021

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). China Poverty Rate | Historical Chart | 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
    Jul 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

    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.

  12. C

    China CN: Population: Rural Poverty

    • ceicdata.com
    Updated Dec 15, 2024
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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
    Dec 15, 2024
    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)。

  13. h

    Supporting data for_Divergent sub-national patterns, determinants, and...

    • datahub.hku.hk
    Updated Jul 3, 2025
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    Qian Zhang (2025). Supporting data for_Divergent sub-national patterns, determinants, and impacts of China’s Health Poverty Alleviation Policy [Dataset]. http://doi.org/10.25442/hku.29322650.v1
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    Dataset updated
    Jul 3, 2025
    Dataset provided by
    HKU Data Repository
    Authors
    Qian Zhang
    License

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

    Area covered
    China
    Description

    This dataset is used to investigates the local variations, determinants, effects and influence mechanisms of Health Poverty Alleviation Policy in China. The dataset contains policy data at city and provincial levels, city charateristics data, nationally survey data (CHARLS) and qualitative data.

  14. C

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

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). 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 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, 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).

  15. w

    Poverty Map for LAO PDR - Small Area Estimation: Province and District Level...

    • datacatalog.worldbank.org
    excel, pdf, utf-8
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    Tanida Arayavechkit, Poverty Map for LAO PDR - Small Area Estimation: Province and District Level Results [Dataset]. https://datacatalog.worldbank.org/search/dataset/0064066/poverty-map-for-lao-pdr-small-area-estimation-province-and-district-level-results
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    utf-8, pdf, excelAvailable download formats
    Dataset provided by
    Tanida Arayavechkit
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

    Area covered
    Laos
    Description

    This report and related data update district-level poverty maps for Laos using the small area estimation (SAE) technique and the most recent Lao Expenditure and Consumption Survey 2018–2019 (LECS 6) and the Population and Housing Census 2015 (PHC 4). On the one hand, LECS collects detailed information on household expenditures required for estimating monetary poverty but limits poverty estimation below the provincial level. On the other hand, PHC collects data from every household but does not include household expenditures as this data is generally too costly and time-consuming to include. The SAE technique combines two sources of data and produces monetary poverty indicators at the district level. This report presents the SAE results as well as poverty estimates and poverty maps at the district level. The three key findings are: (i) there is a large variation in poverty rates across districts within the same province; (ii) poverty is high in districts located in mountainous areas bordering Vietnam and low in districts located on the Mekong River plain and areas bordering China; and (iii) districts with the highest number of poor people are mainly located in Savannakhet, Oudomxay, and Saravan.

  16. f

    Robustness test—equal weight method.

    • plos.figshare.com
    xls
    Updated Feb 20, 2024
    + more versions
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    Wenguang Yu; Guofeng Guan; Yifan Wang; Qi Wang (2024). Robustness test—equal weight method. [Dataset]. http://doi.org/10.1371/journal.pone.0298243.t009
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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.

  17. e

    The development of migrant villages under China's rapid Urbanization:...

    • b2find.eudat.eu
    Updated May 1, 2023
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    (2023). The development of migrant villages under China's rapid Urbanization: implications for poverty and slum policies - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/fa2e6a4a-a07b-54d0-addf-9d643ae0ad85
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    Dataset updated
    May 1, 2023
    Area covered
    China
    Description

    With rising social inequality in China, housing insecurity in informal migrant settlements known as chengzhongcun (urban villages) became a significant issue. In the suburbs of Beijing, former villages are turned into migrants' production sites; in the peri-urban areas of Shanghai, co-renting in the same room has become highly controversial; in Guangzhou, urban villages are becoming a 'thriving' world of their own, lacking basic infrastructure. Are these migrant settlements slums? According to the operational definition by UN-HABITAT, these settlements can indeed be viewed as slums. How different are they from slums in other developing countries? The project investigates the dynamics of migrant village formation, examine redevelopment practices and policies, and to identify the scope for progressive upgrading as an alternative approach. The project samples 15 migrant villages in three major cities (Beijing, Shanghai and Guangzhou) in China and applies qualitative and quantitative methods to identify the housing tenure, socioeconomic profiles, landlords' self construction tactics, migrants' coping strategies, and existing and new institutions as appropriate vehicles for in-situ redevelopment. The project aims to inform Chinese policy makers and provide learning feedback to the wider international development community, offering new experiences in coping with the 'challenge of slums'. The data was collected through face to face interview in Beijing, Shanghai and Guangzhou in 2010. For each city, 20 'urban villages' were randomly selected from the list of villages. 20 households were randomly selected by way of a random start address with fixed intervals. This address-based approach is widely used in Chinese household surveys because there is no official list for migrants. The address-based approach is able to account for the migrant population better than other household registers. In total, we collected 1208 valid questionnaires.

  18. f

    Poverty and youth disability in China: Results from a large, nationwide,...

    • plos.figshare.com
    tiff
    Updated Jun 1, 2023
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    Chao Guo; Yanan Luo; Xiaoxue Tang; Ruoxi Ding; Xinming Song; Xiaoying Zheng (2023). Poverty and youth disability in China: Results from a large, nationwide, population-based survey [Dataset]. http://doi.org/10.1371/journal.pone.0215851
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    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Chao Guo; Yanan Luo; Xiaoxue Tang; Ruoxi Ding; Xinming Song; Xiaoying Zheng
    License

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

    Area covered
    China
    Description

    BackgroundYouth with disability contribute to a high burden of disease but are often neglected. This study aims to estimate the prevalence of disability and its association with poverty among Chinese youth aged 15–24 years.MethodsData were obtained from a nationally representative population-based cross-sectional survey in 2006 and its follow-up investigations from 2007 to 2013 in 31 provinces of mainland China. A total of 357 856 non-institutionalized youth at age of 15–24 years were investigated. Population weighted numbers and prevalence rates with 95% CI of various types and causes of disabilities for the overall youth were estimated where appropriate. Univariate and multivariate logistic regressions were used to identify the association between poverty and each type of and cause-specific disability.ResultsA weighted number of 3 633 838 youth were living with disability in China, with a prevalence rate of 19.7 per thousand Chinese youth. Youth living in poor households were 3.84 times more likely to be with disability than those living in affluent households (95% CI: 3.56–4.14). Associations were similar for most types of and cause-specific disabilities. Among youth with disability, those from poor households had less healthcare service use (OR: 0.71, 95% CI: 0.61–0.82) than those from affluent households.ConclusionA significant number of Chinese youth were living with disability, and poverty is significant associated with the disability among youth. Investment in health and disability prevention are essential to the development of youth, as well as their families and communities.

  19. Analysis of land transfer-out mechanisms for poverty reduction (1).

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Feb 20, 2024
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    Wenguang Yu; Guofeng Guan; Yifan Wang; Qi Wang (2024). Analysis of land transfer-out mechanisms for poverty reduction (1). [Dataset]. http://doi.org/10.1371/journal.pone.0298243.t015
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    xlsAvailable download formats
    Dataset updated
    Feb 20, 2024
    Dataset provided by
    PLOShttp://plos.org/
    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

    Analysis of land transfer-out mechanisms for poverty reduction (1).

  20. Robustness test—replace independent variables as relative poverty depth.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Feb 20, 2024
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    Wenguang Yu; Guofeng Guan; Yifan Wang; Qi Wang (2024). Robustness test—replace independent variables as relative poverty depth. [Dataset]. http://doi.org/10.1371/journal.pone.0298243.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 20, 2024
    Dataset provided by
    PLOShttp://plos.org/
    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

    Robustness test—replace independent variables as relative poverty depth.

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Email
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Link copied
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Statista (2025). 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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Number of rural residents living below the poverty line in China 2018-2020, by region

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Dataset updated
Jul 18, 2025
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 *************, 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.

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