99 datasets found
  1. Population distribution in China 2023-2024, by broad age group

    • statista.com
    Updated Jan 17, 2025
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    Statista (2025). Population distribution in China 2023-2024, by broad age group [Dataset]. https://www.statista.com/statistics/251524/population-distribution-by-age-group-in-china/
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    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, about 60.9 percent of the Chinese population was between 16 and 59 years old. Apart from the information given on broad age groups in this statistic, some more information is provided by a timeline for the age distribution and a population breakdown by smaller age groups. Demographic development in China China ranked as the second most populous country in the world with a population of nearly 1.41 billion as of mid 2024, surpassed only by India. As the world population reached more than eight billion in mid 2024, China represented almost one fifth of the global population. China's population increased exponentially between the 1950s and the early 1980s due to Mao Zedong's population policy. To tackle the problem of overpopulation, a one-child policy was implemented in 1979. Since then, China's population growth has slowed from more than two percent per annum in the 1970s to around 0.5 percent per annum in the 2000s, and finally turned negative in 2022. China's aging population One outcome of the strict population policy is the acceleration of demographic aging trends. According to the United Nations, China's population median age has more than doubled over the last five decades, from 18 years in 1970 to 37.5 years in 2020. Few countries have aged faster than China. The dramatic aging of the population is matched by slower growth. The total fertility rate, measuring the number of children a woman can expect to have in her life, stood at just around 1.2 children. This incremental decline in labor force could lead to future challenges for the Chinese government, causing instability in current health care and social insurance mechanisms. To learn more about demographic development of the rural and urban population in China, please take a look at our reports on population in China and aging population in China.

  2. Total population of China 1980-2030

    • statista.com
    Updated Apr 23, 2025
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    Statista (2025). Total population of China 1980-2030 [Dataset]. https://www.statista.com/statistics/263765/total-population-of-china/
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    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    According to latest figures, the Chinese population decreased by 1.39 million to around 1.408 billion people in 2024. After decades of rapid growth, China arrived at the turning point of its demographic development in 2022, which was earlier than expected. The annual population decrease is estimated to remain at moderate levels until around 2030 but to accelerate thereafter. Population development in China China had for a long time been the country with the largest population worldwide, but according to UN estimates, it has been overtaken by India in 2023. As the population in India is still growing, the country is very likely to remain being home of the largest population on earth in the near future. Due to several mechanisms put into place by the Chinese government as well as changing circumstances in the working and social environment of the Chinese people, population growth has subsided over the past decades, displaying an annual population growth rate of -0.1 percent in 2024. Nevertheless, compared to the world population in total, China held a share of about 17 percent of the overall global population in 2024. China's aging population In terms of demographic developments, the birth control efforts of the Chinese government had considerable effects on the demographic pyramid in China. Upon closer examination of the age distribution, a clear trend of an aging population becomes visible. In order to curb the negative effects of an aging population, the Chinese government abolished the one-child policy in 2015, which had been in effect since 1979, and introduced a three-child policy in May 2021. However, many Chinese parents nowadays are reluctant to have a second or third child, as is the case in most of the developed countries in the world. The number of births in China varied in the years following the abolishment of the one-child policy, but did not increase considerably. Among the reasons most prominent for parents not having more children are the rising living costs and costs for child care, growing work pressure, a growing trend towards self-realization and individualism, and changing social behaviors.

  3. Chinese population with hair loss problems 2020, by gender

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Chinese population with hair loss problems 2020, by gender [Dataset]. https://www.statista.com/statistics/1054432/china-hair-loss-population-gender-number/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2020, China's hair loss population amounted to *** million, women accounting for ** million. Hair loss affects Chinese people at a younger age. The majority of them have to deal with thinning hair between ** and **, two decades earlier than the previous generation.

  4. f

    Trends in the evolution of China’s population structure, from 2010 to 2021.

    • figshare.com
    xls
    Updated Jun 6, 2024
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    Mingzhi Zhang; Chao Chen; Xiangyu Zhou; Xinpei Wang; Bowen Wang; Fuying Huan; Jianxu Liu (2024). Trends in the evolution of China’s population structure, from 2010 to 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0296623.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Mingzhi Zhang; Chao Chen; Xiangyu Zhou; Xinpei Wang; Bowen Wang; Fuying Huan; Jianxu Liu
    License

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

    Area covered
    China
    Description

    Trends in the evolution of China’s population structure, from 2010 to 2021.

  5. g

    Data from: The socioeconomic implications of population aging in the...

    • gimi9.com
    Updated Mar 23, 2025
    + more versions
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    (2025). The socioeconomic implications of population aging in the People's Republic of China [Dataset]. https://gimi9.com/dataset/mekong_the-socioeconomic-implications-of-population-aging-in-the-people-s-republic-of-china
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    Dataset updated
    Mar 23, 2025
    License

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

    Area covered
    China
    Description

    This brief outlines the socioeconomic implications of the aging population of the People's Republic of China. Hazards of population aging, and China’s position regarding aging are discussed. The challenges ahead are then outlined: sustaining inclusive economic growth, improving mobility and quality of the labour force, and strengthening safety nets. The brief concludes with policy directions for the PRC.

  6. Population in China 2014-2024, by gender

    • statista.com
    Updated Jan 17, 2025
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    Statista (2025). Population in China 2014-2024, by gender [Dataset]. https://www.statista.com/statistics/251129/population-in-china-by-gender/
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    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, there were around 719 million male inhabitants and 689 million female inhabitants living in China, amounting to around 1.41 billion people in total. China's total population decreased for the first time in decades in 2022, and population decline is expected to accelerate in the upcoming years. Birth control in China From the beginning of the 1970s on, having many children was no longer encouraged in mainland China. The one-child policy was then introduced in 1979 to control the total size of the Chinese population. According to the one-child policy, a married couple was only allowed to have one child. With the time, modifications were added to the policy, for example parents living in rural areas were allowed to have a second child if the first was a daughter, and most ethnic minorities were excepted from the policy. Population ageing The birth control led to a decreasing birth rate in China and a more skewed gender ratio of new births due to boy preference. Since the negative economic and social effects of an aging population were more and more felt in China, the one-child policy was considered an obstacle for the country’s further economic development. Since 2014, the one-child policy has been gradually relaxed and fully eliminated at the end of 2015. However, many young Chinese people are not willing to have more children due to high costs of raising a child, especially in urban areas.

  7. Existence test for threshold effect.

    • plos.figshare.com
    xls
    Updated Jun 6, 2024
    + more versions
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    Mingzhi Zhang; Chao Chen; Xiangyu Zhou; Xinpei Wang; Bowen Wang; Fuying Huan; Jianxu Liu (2024). Existence test for threshold effect. [Dataset]. http://doi.org/10.1371/journal.pone.0296623.t006
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mingzhi Zhang; Chao Chen; Xiangyu Zhou; Xinpei Wang; Bowen Wang; Fuying Huan; Jianxu Liu
    License

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

    Description

    The demographic structure is an important factor influencing the development of the services industry. As the country with the world’s most serious aging problem, China’s service industry structure is likely to undergo profound changes in response to the rapid demographic transition. Therefore, this paper examines the effect of population aging on the development of the service industry in the context of China’s accelerating population aging. The study found that: (1) Population aging has a significant "inverted U" effect on the development of the services industry. (2) The impact of population aging on the development of the service industry has obvious regional and industry heterogeneity. The study of regional heterogeneity found that population aging in economically developed regions has a more obvious effect on the development of the service industry than in economically less developed regions. Industry heterogeneity studies found that population aging has an obvious promotional effect on the development of medical and other rigid demand industries, while the effect on other non-rigid demand industries is not significant. (3) The threshold effect test found that when the degree of population aging exceeds the threshold, the stimulating effect of population aging on the development of the services industry is no longer significant. The research in this paper provides useful insights into the likely response to changes in the industrial structure of the services industry, and offers some implications for countries with similar demographic profiles to China.

  8. S

    Data from: A dataset of population density at township level for 27...

    • scidb.cn
    Updated Jul 16, 2015
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    柏中强; 王卷乐 (2015). A dataset of population density at township level for 27 provinces of China (2000) [Dataset]. http://doi.org/10.11922/sciencedb.2
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 16, 2015
    Dataset provided by
    Science Data Bank
    Authors
    柏中强; 王卷乐
    License

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

    Area covered
    China
    Description

    Population density population distribution is the main form and the main indicators to measure regional differences in population distribution. Town (Street) at the grass-roots administrative system in China, is China's smallest administrative unit of the public release of census data, population density in the township-level data can be objective and precise characterization of the spatial pattern of population distribution and trends in China, and for research on resources, environment and population issues is of great significance. Paper standardized processing has China Liaoning, and Jilin, and in Inner Mongolia (part area), and Beijing, and Tianjin, and Shanghai, and Hebei, and Henan, and Shaanxi, and Ningxia, and Shanxi, and Shandong, and Anhui, and Jiangsu, and Hunan, and Hubei, and Jiangxi, and Zhejiang, and Fujian, and Guangdong, and Hainan, and Yunnan, and Guizhou, and Qinghai, and Tibet, 25 a province (municipalities, and autonomous regions) Township (Street) level administrative line data and the fifth times census Township (Street) level population statistics data, guarantee Township border county (district) Territories consistent, and Spatial and census information for each township unit corresponds to one by one. On this basis, accurately matching the spatial extent of each township and census information, calculated the average population density of communes, form the data set.

  9. China CN: Labour Fource

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Labour Fource [Dataset]. https://www.ceicdata.com/en/china/population-labour-force-and-employment-non-oecd-member-annual/cn-labour-fource
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    Dataset updated
    Feb 15, 2025
    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 Labour Fource data was reported at 780,240.000 Person th in 2021. This records a decrease from the previous number of 783,920.000 Person th for 2020. China Labour Fource data is updated yearly, averaging 762,175.000 Person th from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 800,910.000 Person th in 2015 and a record low of 653,230.000 Person th in 1990. China Labour Fource data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.MSTI: Population, Labour Force and Employment: Non OECD Member: Annual.

    Notes to the September 2023 edition:
    In the March 2023 edition, the OECD suppressed and put on hold the publication of several R&D indicators for China because of concerns about the coherence of expenditure and personnel data. Chinese officials have since confirmed errors in the business R&D data submitted to OECD in February 2023 and revised figures subsequently. While the revised breakdowns between manufacturing and other sectors is now deemed coherent, few details are available about the structure of China's R&D in the service sector which has been significantly increasing in size. China provided additional explanations on the growth rates in the higher education and government sectors in 2019, as well as the discrepancies between personnel and expenditure trends in both sectors. Total estimates of GERD and its institutional sector components (BERD, HERD, GOVERD) for 2019 to 2021 have not been modified by China and have been published as reported to OECD. The OECD continues to encourage China and other non member economies to engage in comprehensive reporting of R&D statistics and metadata.
    ---Structural notes:The national breakdown by source of funds does not fully match with the classification defined in the Frascati Manual. The R&D financed by the government, business enterprises, and by the rest of the world can be retrieved but part of the expenditure has no specific source of financing, i.e. self-raised funding (in particular for independent research institutions), the funds from the higher education sector and left-over government grants from previous years.The government and higher education sectors cover all fields of NSE and SSH while the business enterprise sector only covers the fields of NSE. There are only few organisations in the private non-profit sector, hence no R&D survey has been carried out in this sector and the data are not available.From 2009, researcher data are collected according to the Frascati Manual definition of researcher.
    Beforehand, this was only the case for independent research institutions, while for the other sectors data were collected according to the UNESCO concept of 'scientist and engineer'.In 2009, the survey coverage in the business and the government sectors has been expanded.Before 2000, all of the personnel data and 95% of the expenditure data in the business enterprise sector are for large and medium-sized enterprises only. Since 2000 however, the survey covers almost all industries and all enterprises above a certain threshold. In 2000 and 2004, a census of all enterprises was held, while in the intermediate years data for small enterprises are estimated.Due to the reform of the S&T system some government institutions have become enterprises, and their R&D data have been reflected in the Business Enterprise sector since 2000.

  10. Population Health Management Market Analysis, Size, and Forecast 2025-2029:...

    • technavio.com
    pdf
    Updated Dec 24, 2024
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    Technavio (2024). Population Health Management Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, UK), Asia (China, India, Japan, South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/population-health-management-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Dec 24, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    Population Health Management Market Size and Forecast 2025-2029

    The population health management market size estimates the market to reach by USD 19.40 billion, at a CAGR of 10.7% between 2024 and 2029. North America is expected to account for 68% of the growth contribution to the global market during this period. In 2019 the software segment was valued at USD 16.04 billion and has demonstrated steady growth since then.

    The market is experiencing significant growth, driven by the increasing adoption of healthcare IT and the rising focus on personalized medicine. Healthcare providers are recognizing the value of population health management platforms in improving patient outcomes and reducing costs. The implementation of these systems enables proactive care management, disease prevention, and population health analysis. However, the market faces challenges as well. The cost of installing population health management platforms can be a significant barrier for smaller healthcare organizations. Additionally, ensuring data security and interoperability across various systems remains a major concern.
    Effective data management and integration are essential for population health management to deliver its full potential. Companies seeking to capitalize on market opportunities must address these challenges and provide cost-effective, secure, and interoperable solutions. By focusing on these areas, they can help healthcare providers optimize their population health management initiatives and improve patient care.
    

    What will be the Size of the Population Health Management Market during the forecast period?

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    The market continues to evolve, driven by advancements in technology and a growing focus on value-based care. Risk adjustment models, which help account for the variability in health risks among patient populations, are increasingly being adopted to improve care coordination and health outcome measures. For instance, a leading healthcare organization implemented risk stratification models, resulting in a 20% reduction in hospital readmissions. Remote patient monitoring, public health surveillance, and disease outbreak response are crucial applications of population health management. These technologies enable real-time health data collection, allowing for early intervention and improved health equity initiatives. Chronic disease management, a significant focus area, benefits from electronic health records, care coordination models, and health information exchange.

    Value-based care programs, predictive modeling healthcare, and telehealth platforms are transforming the landscape of healthcare delivery. Healthcare data analytics, interoperability standards, and population health dashboards facilitate data-driven decision-making, enhancing health intervention efficacy. Behavioral health integration and preventive health services are gaining prominence, with health literacy programs and clinical decision support tools supporting personalized medicine strategies. The market is expected to grow at a robust rate, with industry growth estimates reaching 15% annually. This growth is fueled by the ongoing need for healthcare cost reduction, quality improvement initiatives, and the integration of technology into healthcare delivery.

    How is this Population Health Management Industry segmented?

    The population health management industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Component
    
      Software
      Services
    
    
    End-user
    
      Large enterprises
      SMEs
    
    
    Delivery Mode
    
      On-Premise
      Cloud-Based
      Web-Based
    
    
    End-Use
    
      Providers
      Payers
      Employer Groups
      Government Bodies
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      Rest of World (ROW)
    

    By Component Insights

    The software segment is estimated to witness significant growth during the forecast period.

    The market's software segment is experiencing significant growth and innovation, driven by various components that enhance healthcare organizations' capacity to manage and enhance the health outcomes of diverse populations. Population health management platforms aggregate and integrate data from multiple sources, including electronic health records, claims data, and patient-generated data. Advanced analytics are employed to generate valuable insights, enabling healthcare providers to identify at-risk populations, address chronic conditions, and improve overall patient outcomes. These platforms facilitate seamless data exchange between stakeholders, ensuring harmonious care coordination and enhancing the overall effectiveness of healthcare services.

    Request Free Sample

    As of 2019

  11. S

    Population Density Data Set of China's Townships (subdistricts) (2010)

    • scidb.cn
    Updated Mar 31, 2020
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    王卷乐; 王晓洁; 王明明; 姚锦一; 王岚涛; 邱丛丛 (2020). Population Density Data Set of China's Townships (subdistricts) (2010) [Dataset]. http://doi.org/10.11922/sciencedb.964
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 31, 2020
    Dataset provided by
    Science Data Bank
    Authors
    王卷乐; 王晓洁; 王明明; 姚锦一; 王岚涛; 邱丛丛
    License

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

    Area covered
    China
    Description

    Township is so far the smallest unit for official demographic statistics in China. When correlated with administrative boundary, demographic data can be used to analyze the spatial distribution of population, which is significant for research on geography, resources, environment, ecology, disasters, sustainable development, etc. Based on the demographic data of the 31 provinces, municipalities and autonomous regions publicized by the National Bureau of Statistics in 2010, we correlated township administrative units with the number of population in each, while attending to spatial topological problems such as pattern spot gaps and overlaps between the spatial divisions. In total, 42122 spatial units were paired with their demographic data by using the decision tree. The average population density was calculated as the number of population per spatial unit, which was then converted into vector data for generating the dataset of township-level population density in China (2010). A validation of the data shows an overall accuracy of 99%, with a less than 10% deviation for each province or municipality. The dataset is in the TIFF format, with a total volume of 108 MB.

  12. Dependency ratio in China 2013-2023

    • statista.com
    Updated Nov 12, 2024
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    Statista (2024). Dependency ratio in China 2013-2023 [Dataset]. https://www.statista.com/statistics/224941/dependency-ratio-in-china/
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    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    According to the Seventh National Chinese Population Census, the age dependency ratio in China increased to 46.5 percent in 2023. This meant that for every 100 people of working age, more than 46 seniors and children had to be supported. Age dependency ratio The age dependency ratio denotes the relationship between economically dependent age groups (people who are either too old or too young to work) to those of working age. Those who are defined as being able to work, according to the source, are people between the ages of 15 and 64. The dependency ratio indicates how great a burden is placed on those of working age by those of non-working age. In international comparison, China has a relatively low age dependency ratio, when compared to age dependency in G20 countries or other countries in the Asia Pacific region. Development in China In the past two decades, China’s economy has profited from a relatively low dependency ratio. In combination with a growing working age population, these were the two main demographic causes for China’s large and cheap labor force. However, the dependency ratio has been falling since the 1970s, mainly because of lower birth rates and a resulting decrease of child dependency. This led the age dependency ratio to reach a historic low between 2005 and 2017, when it fell to levels below 40 percent. A turning point had been reached around the year 2010, when the effects of declining child dependency were neutralized by growing old-age dependency. This rapid aging of the population is the other side of the coin of decades of low birth rates, which will pose great challenges to Chinese society in the future.

  13. f

    Data from: Current situation and progress toward the 2030 health-related...

    • datasetcatalog.nlm.nih.gov
    Updated Nov 19, 2019
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    Ziegeweid, Faye; Yamey, Gavin; Ge, Yanfeng; Liu, Qin; Tolhurst, Rachel; Xiang, Hao; Qian, Mengcen; Jiang, Weixi; Zhang, Jiahui; Dong, Di; Wang, Zhan; Sun, Ju; Ji, John S.; Chen, Shu; Fang, Jing; Tian, Lichun; Wang, Haidong; Wang, Limin; Wu, Chenkai; Zhang, Mei; Zhou, Maigeng; Zeng, Xinying; Long, Qian; Ying, Xiaohua; Ding, Xiyu; Tang, Shenglan; Mao, Wenhui; Glenn, Scott; Guo, Lei; Xu, Ling; Liu, Wei; Lei, Xun; Fu, Chaowei; Feng, Wenmeng; Story, Mary (2019). Current situation and progress toward the 2030 health-related Sustainable Development Goals in China: A systematic analysis [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000117078
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    Dataset updated
    Nov 19, 2019
    Authors
    Ziegeweid, Faye; Yamey, Gavin; Ge, Yanfeng; Liu, Qin; Tolhurst, Rachel; Xiang, Hao; Qian, Mengcen; Jiang, Weixi; Zhang, Jiahui; Dong, Di; Wang, Zhan; Sun, Ju; Ji, John S.; Chen, Shu; Fang, Jing; Tian, Lichun; Wang, Haidong; Wang, Limin; Wu, Chenkai; Zhang, Mei; Zhou, Maigeng; Zeng, Xinying; Long, Qian; Ying, Xiaohua; Ding, Xiyu; Tang, Shenglan; Mao, Wenhui; Glenn, Scott; Guo, Lei; Xu, Ling; Liu, Wei; Lei, Xun; Fu, Chaowei; Feng, Wenmeng; Story, Mary
    Area covered
    China
    Description

    BackgroundThe Sustainable Development Goals (SDGs), adopted by all United Nations (UN) member states in 2015, established a set of bold and ambitious health-related targets to achieve by 2030. Understanding China’s progress toward these targets is critical to improving population health for its 1.4 billion people.Methods and findingsWe used estimates from the Global Burden of Disease (GBD) Study 2016, national surveys and surveillance data from China, and qualitative data. Twenty-eight of the 37 indicators included in the GBD Study 2016 were analyzed. We developed an attainment index of health-related SDGs, a scale of 0–100 based on the values of indicators. The projection model is adjusted based on the one developed by the GBD Study 2016 SDG collaborators.We found that China has achieved several health-related SDG targets, including decreasing neonatal and under-5 mortality rates and the maternal mortality ratios and reducing wasting and stunting for children. However, China may only achieve 12 out of the 28 health-related SDG targets by 2030. The number of target indicators achieved varies among provinces and municipalities. In 2016, among the seven measured health domains, China performed best in child nutrition and maternal and child health and reproductive health, with the attainment index scores of 93.0 and 91.8, respectively, followed by noncommunicable diseases (NCDs) (69.4), road injuries (63.6), infectious diseases (63.0), environmental health (62.9), and universal health coverage (UHC) (54.4). There are daunting challenges to achieve the targets for child overweight, infectious diseases, NCD risk factors, and environmental exposure factors. China will also have a formidable challenge in achieving UHC, particularly in ensuring access to essential healthcare for all and providing adequate financial protection. The attainment index of child nutrition is projected to drop to 80.5 by 2025 because of worsening child overweight. The index of NCD risk factors is projected to drop to 38.8 by 2025. Regional disparities are substantial, with eastern provinces generally performing better than central and western provinces. Sex disparities are clear, with men at higher risk of excess mortality than women. The primary limitations of this study are the limited data availability and quality for several indicators and the adoption of "business-as-usual" projection methods.ConclusionThe study found that China has made good progress in improving population health, but challenges lie ahead. China has substantially improved the health of children and women and will continue to make good progress, although geographic disparities remain a great challenge. Meanwhile, China faced challenges in NCDs, mental health, and some infectious diseases. Poor control of health risk factors and worsening environmental threats have posed difficulties in further health improvement. Meanwhile, an inefficient health system is a barrier to tackling these challenges among such a rapidly aging population. The eastern provinces are predicted to perform better than the central and western provinces, and women are predicted to be more likely than men to achieve these targets by 2030. In order to make good progress, China must take a series of concerted actions, including more investments in public goods and services for health and redressing the intracountry inequities.

  14. e

    Life Story Interviews With Russian-Speaking Marriage Migrants in China,...

    • b2find.eudat.eu
    Updated Aug 1, 2021
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    (2021). Life Story Interviews With Russian-Speaking Marriage Migrants in China, 2015-2018 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/3ebf64c7-526d-5c28-aba5-08dcba22f45e
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    Dataset updated
    Aug 1, 2021
    Area covered
    China
    Description

    This data collection includes 'life story' interviews with Russian-speaking women from Russia, Ukraine, and Belarus who have married Chinese citizens and moved for their married lives to the People's Republic of China. Most of the recorded interviews were transcribed verbatim in Russian. Some of the non-recorded conversations are summarised in English. The topics covered in the interviews include the women's journeys to China, their experiences of family, social, and working lives, the challenges of legal, socio-cultural and emotional adaptation, and the questions of citizenship and immigration status for women and their children.The growth of mega-cities and more generally rapid urbanization in China not only include hundreds of millions internal migrants, but an increasing number of foreign (including Taiwanese and returning ethnic Chinese) migrants as well. At present, foreign migrants fill relatively small and specific skills and knowledge gaps, but also include marriage migrants, traders, investors, retirees and unskilled workers. However as China's population growth levels off, population ageing sets in. China's working age population is set to decline, slowly at first but increasingly rapidly, especially roughly after 2025. Moreover, the population's sex imbalance will become ever more pronounced and China will face an increasing shortage of marriageable and working age people. Although international migration is set to make an important contribution to these increasing demographic and labour market shortages in China, little research has as yet been done. Our project will provide estimates and projections of the role of international and internal migration on population dynamics in China. The central focus of our project is on the impact of the second demographic transition in China, including family changes, ageing, migration and regional population changes. We will collect vital data on the interaction between labour markets and population dynamics, the consequences of migration, integration policies in China, EU-China mobility, and shifting patterns of inequality and the cultural division of labour. The project therefore speaks directly to the issues under the theme Understanding Population Change of the Europe - China call for collaborative research. This research data collection includes the transcripts of life story interviews with Russian-speaking women from the Soviet Union who have married a Chinese national and moved for a family life to the People's Republic of China. The research participants for this project were recruited through a snowballing method. A written call for participation and project information were distributed through established contacts and social media, inviting interested parties to contact the researcher. A consent form with the project information was shared with prospective participants prior to the interview. The interviews took place face-to-face or through a video or audio function in Skype or in Wechat, China's most popular social media platform.

  15. China Multi-Generational Panel Dataset, Liaoning (CMGPD-LN), 1749-1909 -...

    • search.gesis.org
    Updated May 30, 2021
    + more versions
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    ICPSR - Interuniversity Consortium for Political and Social Research (2021). China Multi-Generational Panel Dataset, Liaoning (CMGPD-LN), 1749-1909 - Version 10 [Dataset]. http://doi.org/10.3886/ICPSR27063.v10
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    Dataset updated
    May 30, 2021
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    GESIS search
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de448898https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de448898

    Area covered
    China, Liaoning
    Description

    Abstract (en): The China Multi-Generational Panel Dataset - Liaoning (CMGPD-LN) is drawn from the population registers compiled by the Imperial Household Agency (neiwufu) in Shengjing, currently the northeast Chinese province of Liaoning, between 1749 and 1909. It provides 1.5 million triennial observations of more than 260,000 residents from 698 communities. The population mainly consists of immigrants from North China who settled in rural Liaoning during the early eighteenth century, and their descendants. The data provide socioeconomic, demographic, and other characteristics for individuals, households, and communities, and record demographic outcomes such as marriage, fertility, and mortality. The data also record specific disabilities for a subset of adult males. Additionally, the collection includes monthly and annual grain price data, custom records for the city of Yingkou, as well as information regarding natural disasters, such as floods, droughts, and earthquakes. This dataset is unique among publicly available population databases because of its time span, volume, detail, and completeness of recording, and because it provides longitudinal data not just on individuals, but on their households, descent groups, and communities. Possible applications of the dataset include the study of relationships between demographic behavior, family organization, and socioeconomic status across the life course and across generations, the influence of region and community on demographic outcomes, and development and assessment of quantitative methods for the analysis of complex longitudinal datasets. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Standardized missing values.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. Smallest Geographic Unit: Chinese banners (8) The data are from 725 surviving triennial registers from 29 distinct populations. Each of the 29 register series corresponded to a specific rural population concentrated in a small number of neighboring villages. These populations were affiliated with the Eight Banner civil and military administration that the Qing state used to govern northeast China as well as some other parts of the country. 16 of the 29 populations are regular bannermen. In these populations adult males had generous allocations of land from the state, and in return paid an annual fixed tax to the Imperial Household Agency, and provided to the Imperial Household Agency such home products as homespun fabric and preserved meat, and/or such forest products as mushrooms. In addition, as regular bannermen they were liable for military service as artisans and soldiers which, while in theory an obligation, was actually an important source of personal revenue and therefore a political privilege. 8 of the 29 populations are special duty banner populations. As in the regular banner population, the adult males in the special duty banner populations also enjoyed state allocated land free of rent. These adult males were also assigned to provide special services, including collecting honey, raising bees, fishing, picking cotton, and tanning and dyeing. The remaining populations were a diverse mixture of estate banner and servile populations. The populations covered by the registers, like much of the population of rural Liaoning in the eighteenth and nineteenth centuries, were mostly descendants of Han Chinese settlers who came from Shandong and other nearby provinces in the late seventeenth and early eighteenth centuries in response to an effort by the Chinese state to repopulate the region. 2016-09-06 2016-09-06 The Training Guide has been updated to version 3.60. Additionally, the Principal Investigator affiliation has been corrected, and cover sheets for all PDF documents have been revised.2014-07-10 Releasing new study level documentation that contains the tables found in the appendix of the Analytic dataset codebook.2014-06-10 The data and documentation have been updated following re-evaluation.2014-01-29 Fixing variable format issues. Some variables that were supposed to be s...

  16. C

    China Assisted Living Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 1, 2025
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    Market Report Analytics (2025). China Assisted Living Market Report [Dataset]. https://www.marketreportanalytics.com/reports/china-assisted-living-market-91972
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    doc, pdf, pptAvailable download formats
    Dataset updated
    May 1, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    China
    Variables measured
    Market Size
    Description

    The China assisted living market is experiencing robust growth, driven by an aging population, increasing disposable incomes, and a rising awareness of senior care needs. With a CAGR exceeding 12% since 2019 and a projected market size of (estimated) $XX million in 2025, this sector presents significant investment opportunities. Key drivers include government initiatives promoting senior care infrastructure development, urbanization leading to increased demand for professional care services, and a growing preference for non-family-based living arrangements among older adults. The market is segmented geographically, with Shanghai, Beijing, Chongqing, Wuhan, and Chengdu representing significant hubs of activity. Leading players like China Vanke, Sino-Ocean Group, and Taikang Life are actively shaping the market landscape through strategic investments and service innovations. However, challenges remain, including the high cost of high-quality assisted living, limited availability of skilled professionals, and regional disparities in service provision. Future growth will depend on overcoming these restraints through strategic partnerships, technological advancements (such as telehealth integration), and continuous improvement in service standards to meet the evolving needs of an increasingly aging populace. The forecast period (2025-2033) anticipates continued market expansion, fueled by sustained demographic shifts and government policies that aim to improve the overall quality of senior care. While challenges related to staffing and affordability will persist, innovative service models and technological advancements are expected to mitigate some of these pressures. The expansion into secondary and tertiary cities presents a significant avenue for growth, as demand for assisted living solutions expands beyond the major metropolitan areas. Successful players will be those who can adapt quickly to changing regulatory landscapes, deliver cost-effective and high-quality services, and effectively address the diverse needs of their residents. Recent developments include: In September 2021, the Grand Opening of Lendlease's landmark senior living project in Qingpu, Shanghai, was announced. Ardo Gardens provides a welcoming and well-being-focused environment for seniors to live vibrant and active lives, supported by luxury facilities and the best services., In May 2021, New China Life Insurance Co. Ltd opened a new elderly care community in Beijing's Yanqing district, totaling 280,000 sq. m and 2,000 apartments. The community will provide about 200 long-term apartments tailored for the elderly and 100 short-term guest rooms in the project's first phase, along with entertainment, catering, sports, medical care, social exchange, and wealth management services.. Notable trends are: Increase in Senior Population and Life Expectancy.

  17. APAC Healthcare Analytics Market Analysis APAC - China, Japan, India, South...

    • technavio.com
    pdf
    Updated Feb 16, 2024
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    Technavio (2024). APAC Healthcare Analytics Market Analysis APAC - China, Japan, India, South Korea, Rest of APAC - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/apac-healthcare-analytics-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Feb 16, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2024 - 2028
    Description

    Snapshot img

    APAC Healthcare Analytics Market Size 2024-2028

    The APAC healthcare analytics market size is forecast to increase by USD 20.84 billion, at a CAGR of 27.94% between 2023 and 2028.

    The market is experiencing significant growth due to several key trends and drivers. The integration of big data with healthcare analytics is a major catalyst for market expansion, enabling more accurate and efficient diagnosis and treatment plans. Additionally, the increasing use of digital health technologies, such as telemedicine and remote patient monitoring, is driving demand for advanced analytics solutions. However, data security and privacy concerns remain a challenge, as sensitive healthcare information is increasingly being stored and transmitted digitally.
    IT services providers are addressing these concerns through cloud analytics and software solutions. The rise of 5G technology is also expected to boost market growth, enabling real-time data processing and analysis for public safety and predictive analytics applications. Insurers and healthcare services providers are also leveraging data analytics to improve operations, reduce costs, and enhance customer experience. Overall, the market is poised for strong growth, driven by these trends and the increasing adoption of digital technologies in healthcare.
    

    What will be the size of the APAC Healthcare Analytics Market during the forecast period?

    Request Free Sample

    The market is experiencing significant growth In the adoption of healthcare analytics. This trend is driven by the increasing focus on patient care, treatment costs, and patient retention. Big data analytics and digital solutions are transforming the industry, enabling healthcare providers to extract valuable insights from clinical data. The aging population in APAC is a major factor fueling this growth, as analytics tools help improve performance, efficiency, and accuracy in service delivery. Future trends include the use of predictive analytics for clinical outcomes, cost savings, and hospital readmission reduction. Security issues and cultural barriers are challenges that must be addressed as the market expands.
    Healthcare costs remain a critical concern, with analytics playing a key role in addressing this challenge. Qpharma and BC platforms are leading the way in analytics adoption, with life sciences companies and healthcare providers also investing heavily in this area. The market is segmented into on-premises and cloud-based solutions, with both offering unique advantages depending on the specific needs of organizations. Overall, the market is poised for continued growth, offering significant opportunities for innovation and improvement in service delivery and clinical outcomes.
    

    How is this market segmented and which is the largest segment?

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Component
    
      Services
      Software
      Hardware
    
    
    Deployment
    
      On-premises
      Cloud-based
    
    
    Geography
    
      APAC
    
        China
        India
        Japan
        South Korea
    

    By Component Insights

    The services segment is estimated to witness significant growth during the forecast period.
    

    In the APAC region, the healthcare analytics market is primarily driven by the services segment, which accounted for the largest market share in 2023. This segment encompasses consulting, implementation, training, and support services offered by healthcare analytics companies. With the growing emphasis on patient-centric care and the need to adhere to stringent regulatory requirements such as FDA regulations and HIPAA legislation, healthcare providers are increasingly relying on IT services and solutions. The healthcare sector is heavily regulated due to the importance of public safety standards. Big data analytics, digital solutions, and analytics tools are transforming patient care, treatment costs, patient retention, and clinical outcomes In the APAC region.

    Key trends include the use of cloud analytics for healthcare fraud analytics, infectious diseases, and medical insurance fraud. Future trends include the integration of 5G technology, telemedicine platforms, electronic health records, and personal health records. Performance, efficiency, accuracy, service delivery, clinical outcomes, and healthcare costs are critical factors influencing market growth. Security issues, cultural barriers, confidentiality, a skilled workforce, analytics network, international political relations, economic relations, federal regulations, and quality care are also significant considerations.

    Get a glance at the market share of various segments Request Free Sample

    The services segment was valued at USD 1.31 billion in 2018 and showed a gradual increase during the forecast period.

    Market Dynamics

    Our r

  18. v

    China Dental Implants Market Size By Part (Fixture, Abutment), By Material...

    • verifiedmarketresearch.com
    Updated Mar 13, 2025
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    VERIFIED MARKET RESEARCH (2025). China Dental Implants Market Size By Part (Fixture, Abutment), By Material (Titanium Implants, Zirconium Implants), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/china-dental-implants-market/
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    Dataset updated
    Mar 13, 2025
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2025 - 2032
    Area covered
    Asia-Pacific, China
    Description

    China Dental Implants Market was valued at USD 750 Mn in 2024 and is projected to reach USD 1,100 Mn by 2032, growing at a CAGR of 4.90% from 2025 to 2032.

    Aging Population and Increasing Dental Problems: According to the National Bureau of Statistics of China, by the end of 2022, China’s population aged 65 and up will be 209 million, accounting for 14.9% of the total population. According to the Chinese Stomatological Association, roughly 75% of older Chinese individuals suffer from tooth loss, with an average of 4.2 missing teeth per person over the age of 65.

    Rising Disposable Income and Healthcare Expenses: According to the National Bureau of Statistics, China’s per capita disposable income will reach 36,883 yuan (roughly $5,700) in 2022, a 5.1% increase from the previous year. The National Health Commission of China reported that the country’s total health expenditure reached 7.13 trillion yuan in 2021, with dental care costs increasing at an annual rate of approximately 15%.

  19. f

    DataSheet_1_COVID-19 Vaccine Hesitancy Among Chinese Population: A...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated May 31, 2023
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    Jian Wu; Quanman Li; Clifford Silver Tarimo; Meiyun Wang; Jianqin Gu; Wei Wei; Mingze Ma; Lipei Zhao; Zihan Mu; Yudong Miao (2023). DataSheet_1_COVID-19 Vaccine Hesitancy Among Chinese Population: A Large-Scale National Study.docx [Dataset]. http://doi.org/10.3389/fimmu.2021.781161.s001
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Jian Wu; Quanman Li; Clifford Silver Tarimo; Meiyun Wang; Jianqin Gu; Wei Wei; Mingze Ma; Lipei Zhao; Zihan Mu; Yudong Miao
    License

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

    Description

    Globally, vaccine hesitancy is a growing public health problem. It is detrimental to the consolidation of immunization program achievements and elimination of vaccine-targeted diseases. The objective of this study was to estimate the prevalence of COVID-19 vaccine hesitancy in China and explore its contributing factors. A national cross-sectional online survey among Chinese adults (≥18 years old) was conducted between August 6, 2021 and August 9 via a market research company. We collected sociodemographic information; lifestyle behavior; quality of life; the knowledge, awareness, and behavior of COVID-19; the knowledge, awareness, and behavior of COVID-19 vaccine; willingness of COVID-19 vaccination; accessibility of COVID-19 vaccination services; skepticism about COVID-19 and COVID-19 vaccine; doctor and vaccine developer scale; and so on. Odds ratios (OR) with 95% confidence intervals (CI) were used to estimate the associations by using logistic regression models. A total of 29,925 residents (48.64% men) were enrolled in our study with mean age of 30.99 years. We found an overall prevalence of COVID-19 vaccine hesitancy at 8.40% (95% CI, 8.09–8.72) in primary vaccination and 8.39% (95% CI, 8.07–8.70) in booster vaccination. In addition, after adjusting for potential confounders, we found that women, higher educational level, married residents, higher score of health condition, never smoked, increased washing hands, increased wearing mask, increased social distance, lower level of vaccine conspiracy beliefs, disease risks outweigh vaccine risk, higher level of convenient vaccination, and higher level of trust in doctor and developer were more willing to vaccinate than all others (all p < 0.05). Age, sex, educational level, marital status, chronic disease condition, smoking, healthy behaviors, the curability of COVID-19, the channel of accessing information of COVID-19 vaccine, endorsement of vaccine conspiracy beliefs, weigh risks of vaccination against risks of the disease, making a positive influence on the health of others around you, and lower trust in healthcare system may affect the variation of willingness to take a COVID-19 vaccine (all p < 0.05). The prevalence of COVID-19 vaccine hesitancy was modest in China, even with the slight resulting cascade of changing vaccination rates between the primary and booster vaccination. Urgent action to address vaccine hesitancy is needed in building trust in medical personnel and vaccine producers, promoting the convenience of vaccination services, and spreading reliable information of COVID-19 vaccination via the Internet and other media.

  20. f

    DataSheet_1_Characterization of a Cohort of Patients With LIG4 Deficiency...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Sep 24, 2021
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    Ding, Yuan; Jiang, Jinqiu; Zhao, Xiaodong; An, Yunfei; Tang, Xuemei; Yu, Jie; Zhou, Lina; Tang, Wenjing; Liu, Qing; Luo, Xianze (2021). DataSheet_1_Characterization of a Cohort of Patients With LIG4 Deficiency Reveals the Founder Effect of p.R278L, Unique to the Chinese Population.doc [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000887639
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    Dataset updated
    Sep 24, 2021
    Authors
    Ding, Yuan; Jiang, Jinqiu; Zhao, Xiaodong; An, Yunfei; Tang, Xuemei; Yu, Jie; Zhou, Lina; Tang, Wenjing; Liu, Qing; Luo, Xianze
    Description

    DNA ligase IV (LIG4) deficiency is an extremely rare autosomal recessive primary immunodeficiency disease caused by mutations in LIG4. Patients suffer from a broad spectrum of clinical problems, including microcephaly, growth retardation, developmental delay, dysmorphic facial features, combined immunodeficiency, and a predisposition to autoimmune diseases and malignancy. In this study, the clinical, molecular, and immunological characteristics of 15 Chinese patients with LIG4 deficiency are summarized in detail. p.R278L (c.833G>T) is a unique mutation site present in the majority of Chinese cases. We conducted pedigree and haplotype analyses to examine the founder effect of this mutation site in China. This suggests that implementation of protocols for genetic diagnosis and for genetic counseling of affected pedigrees is essential. Also, the search might help determine the migration pathways of populations with Asian ancestry.

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Statista (2025). Population distribution in China 2023-2024, by broad age group [Dataset]. https://www.statista.com/statistics/251524/population-distribution-by-age-group-in-china/
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Population distribution in China 2023-2024, by broad age group

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12 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 17, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
China
Description

In 2024, about 60.9 percent of the Chinese population was between 16 and 59 years old. Apart from the information given on broad age groups in this statistic, some more information is provided by a timeline for the age distribution and a population breakdown by smaller age groups. Demographic development in China China ranked as the second most populous country in the world with a population of nearly 1.41 billion as of mid 2024, surpassed only by India. As the world population reached more than eight billion in mid 2024, China represented almost one fifth of the global population. China's population increased exponentially between the 1950s and the early 1980s due to Mao Zedong's population policy. To tackle the problem of overpopulation, a one-child policy was implemented in 1979. Since then, China's population growth has slowed from more than two percent per annum in the 1970s to around 0.5 percent per annum in the 2000s, and finally turned negative in 2022. China's aging population One outcome of the strict population policy is the acceleration of demographic aging trends. According to the United Nations, China's population median age has more than doubled over the last five decades, from 18 years in 1970 to 37.5 years in 2020. Few countries have aged faster than China. The dramatic aging of the population is matched by slower growth. The total fertility rate, measuring the number of children a woman can expect to have in her life, stood at just around 1.2 children. This incremental decline in labor force could lead to future challenges for the Chinese government, causing instability in current health care and social insurance mechanisms. To learn more about demographic development of the rural and urban population in China, please take a look at our reports on population in China and aging population in China.

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