74 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
    • ai-chatbox.pro
    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. f

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

    • plos.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.

  4. Mortality rate in China 2000-2024

    • ai-chatbox.pro
    • statista.com
    Updated Jan 17, 2025
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    Statista (2025). Mortality rate in China 2000-2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistik%2Fdaten%2Fstudie%2F166167%2Fumfrage%2Fsterberate-in-china%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, the mortality rate in China ranged at approximately 7.76 deaths per 1,000 inhabitants. The mortality rate in China displayed an uneven development over the last two decades. This is mainly related to the very uneven sizes of Chinese age groups, improvements in health care, and the occurrence of epidemics. However, an overall growing trend is undisputable and related to China's aging population. As the share of the population aged 60 and above will be growing significantly over the upcoming two decades, the mortality rate will further increase in the years ahead. Population in China China was the second most populous country in the world in 2024. However, 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 and finally turned negative in 2022. The major factor for this development was a set of policies introduced by the Chinese government in 1979, including the so-called one-child policy, which was intended to improve people’s living standards by limiting the population growth. However, with the decreasing birth rate and slower population growth, China nowadays is facing the problems of a rapidly aging population. Birth control in China According to the one-child policy, a married couple was only allowed to have one child. Only under certain circumstances were parents allowed to have a second child. As the performance of family control had long been related to the assessment of local government’s achievements, violations of the rule were severely punished. The birth control in China led to a decreasing birth rate and a more skewed gender ratio of new births due to a widely preference for male children in the Chinese society. Nowadays, since China’s population is aging rapidly, the one-child policy has been re-considered as 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. In May 2021, a new three-child policy has been introduced. However, many young Chinese people today are not willing to have more children due to high costs of raising a child, especially in urban areas.

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

    • statista.com
    Updated Jan 27, 2023
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    Statista (2023). 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
    Jan 27, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2020, China's hair loss population amounted to 251 million, women accounting for 88 million. Hair loss affects Chinese people at a younger age. The majority of them have to deal with thinning hair between 21 and 30, two decades earlier than the previous generation.

  6. 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.

  7. f

    Descriptive statistics.

    • 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). Descriptive statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0296623.t003
    Explore at:
    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

    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. g

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

    • gimi9.com
    Updated Mar 23, 2025
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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.

  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. 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
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    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.

  11. Population in China 2014-2024, by gender

    • statista.com
    • ai-chatbox.pro
    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.

  12. M

    Macau SAR, China MO: Refugee Population: by Country or Territory of Origin

    • ceicdata.com
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    CEICdata.com, Macau SAR, China MO: Refugee Population: by Country or Territory of Origin [Dataset]. https://www.ceicdata.com/en/macau/population-and-urbanization-statistics/mo-refugee-population-by-country-or-territory-of-origin
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    Macao
    Variables measured
    Population
    Description

    Macau MO: Refugee Population: by Country or Territory of Origin data was reported at 4.000 Person in 2016. This records a decrease from the previous number of 5.000 Person for 2015. Macau MO: Refugee Population: by Country or Territory of Origin data is updated yearly, averaging 8.000 Person from Dec 1996 (Median) to 2016, with 21 observations. The data reached an all-time high of 20.000 Person in 2004 and a record low of 1.000 Person in 2013. Macau MO: Refugee Population: by Country or Territory of Origin data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Macau SAR – Table MO.World Bank.WDI: Population and Urbanization Statistics. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant.; ; United Nations High Commissioner for Refugees (UNHCR), Statistics Database, Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/en-us/figures-at-a-glance.html.; Sum;

  13. China Labour Productivity Growth

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China Labour Productivity Growth [Dataset]. https://www.ceicdata.com/en/indicator/china/labour-productivity-growth
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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, 2013 - Dec 1, 2024
    Area covered
    China
    Description

    Key information about China Labour Productivity Growth

    • China Labour Productivity improved by 5.84 % YoY in Dec 2024, compared with a growth of 4.43 % in the previous year
    • China Labour Productivity Growth data is updated yearly, available from Dec 1953 to Dec 2024, averaging at 7.34 %
    • The data reached an all-time high of 15.12 % in Dec 1970 and a record low of -26.48 % in Dec 1961

    CEIC calculates Labour Productivity Growth from annual Real GDP Index and annual Employment. The National Bureau of Statistics provides Real GDP, at 1978 prices. The Ministry of Human Resources and Social Security provides Employment. Employment excludes Foreign Nationals working within the country. Real GDP prior to 1979 is based on Real GDP PY=100.


    Further information about China Labour Productivity Growth

    • In the latest reports, China Population reached 1,408.28 Person mn in Dec 2024
    • Its Unemployment Rate remained the same at 5.10 % in Dec 2024
    • Monthly Earnings of China stood at 1,392.46 USD in Dec 2023
    • The country's Labour Force Participation Rate increased to 65.83 % in Dec 2023

  14. M

    Macau SAR, China MO: Refugee Population: by Country or Territory of Asylum

    • ceicdata.com
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    CEICdata.com, Macau SAR, China MO: Refugee Population: by Country or Territory of Asylum [Dataset]. https://www.ceicdata.com/en/macau/population-and-urbanization-statistics/mo-refugee-population-by-country-or-territory-of-asylum
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 1990 - Dec 1, 2011
    Area covered
    Macao
    Variables measured
    Population
    Description

    Macau MO: Refugee Population: by Country or Territory of Asylum data was reported at 1.000 Person in 2011. This records a decrease from the previous number of 6.000 Person for 2009. Macau MO: Refugee Population: by Country or Territory of Asylum data is updated yearly, averaging 9.500 Person from Dec 1990 (Median) to 2011, with 8 observations. The data reached an all-time high of 205.000 Person in 1990 and a record low of 1.000 Person in 2011. Macau MO: Refugee Population: by Country or Territory of Asylum data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Macau SAR – Table MO.World Bank.WDI: Population and Urbanization Statistics. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.; ; United Nations High Commissioner for Refugees (UNHCR), Statistics Database, Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/en-us/figures-at-a-glance.html.; Sum;

  15. 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
    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%.

  16. C

    China Wound Care Management Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 21, 2025
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    Market Report Analytics (2025). China Wound Care Management Market Report [Dataset]. https://www.marketreportanalytics.com/reports/china-wound-care-management-market-96415
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Apr 21, 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 wound care management market, valued at $587.67 million in 2025, is projected to experience robust growth, driven by several key factors. The rising prevalence of chronic diseases like diabetes, leading to a significant increase in diabetic foot ulcers, is a major contributor. Furthermore, an aging population in China necessitates advanced wound care solutions, fueling market expansion. Technological advancements in wound care products, such as innovative dressings and closure techniques, are also boosting market growth. Increased healthcare expenditure and rising awareness about effective wound management among both healthcare professionals and patients further contribute to market expansion. The market segmentation reveals a significant portion attributed to chronic wound care, particularly diabetic foot ulcers and pressure ulcers, reflecting the significant health challenges faced by the Chinese population. The strong presence of established multinational corporations like Johnson & Johnson, 3M, and Smith & Nephew, coupled with the emergence of domestic players, indicates a competitive yet dynamic market landscape. However, certain market restraints exist. High costs associated with advanced wound care products can limit accessibility, especially in rural areas. Furthermore, inconsistencies in healthcare infrastructure and a shortage of trained medical personnel in certain regions pose challenges to effective wound management. Despite these limitations, the overall growth trajectory remains positive, underpinned by continuous technological innovation, increasing healthcare spending, and growing public health awareness. The projected Compound Annual Growth Rate (CAGR) of 3.75% from 2025 to 2033 suggests a substantial market expansion during this period, presenting lucrative opportunities for market participants. Focused strategies addressing affordability and accessibility issues are crucial for maximizing market penetration and benefiting the broader Chinese population. Recent developments include: August 2022: National Medical Products Administration approved Nantong Changyu Medical Technology Co., Ltd.'s NPWT kits for wound care products., March 2022: Advanced Oxygen Therapy Inc. (AOTI), received the Chinese National Medical Products Administration (NMPA) approval for its unique cyclically pressurized topical wound oxygen (TWO2) therapy.. Key drivers for this market are: Increasing Demand for Faster Recovery of Wounds, Rising Incidence of Chronic Wound and Increase in the Number of Surgeries. Potential restraints include: Increasing Demand for Faster Recovery of Wounds, Rising Incidence of Chronic Wound and Increase in the Number of Surgeries. Notable trends are: Wound Dressing is Expected to Witness a Significant Growth Over the Forecast Period.

  17. f

    Supplementary file 1_Gender disparities in healthy ageing in China: current...

    • frontiersin.figshare.com
    xlsx
    Updated May 22, 2025
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    Jiajia Deng; Lingshuai Kong; Wenyu Li (2025). Supplementary file 1_Gender disparities in healthy ageing in China: current status and future prospects.xlsx [Dataset]. http://doi.org/10.3389/fpubh.2025.1587922.s001
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    xlsxAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset provided by
    Frontiers
    Authors
    Jiajia Deng; Lingshuai Kong; Wenyu Li
    License

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

    Area covered
    China
    Description

    As the global population ages, China faces unique challenges due to its rapid economic development and societal changes. The older adult population in China, especially females, is growing rapidly, with women outnumbering men in older age groups. Gender disparities in aging manifest in physiological, psychological, and social aspects, including higher risks of cardiovascular diseases in older adultmen and osteoporosis in older adult women. China’s rapidly aging population faces profound gender disparities in health outcomes, shaped by biological, social, and cultural determinants. Synthesizing data from the Global Burden of Disease study and national surveys, this perspective highlights elevated cardiovascular risks among older adult men, osteoporosis prevalence in women, and systemic inequities in healthcare access. We propose gender-sensitive strategies spanning research, policy, and societal awareness to advance equitable healthy aging.

  18. f

    Dataset for eastern, central and western China.

    • plos.figshare.com
    xlsx
    Updated Jun 21, 2023
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    Yifan Liang; Nur Syazwani Mazlan; Azali Bin Mohamed; Nor Yasmin Binti Mhd Bani; Bufan Liang (2023). Dataset for eastern, central and western China. [Dataset]. http://doi.org/10.1371/journal.pone.0282913.s001
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    xlsxAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Yifan Liang; Nur Syazwani Mazlan; Azali Bin Mohamed; Nor Yasmin Binti Mhd Bani; Bufan Liang
    License

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

    Area covered
    Western China
    Description

    The aging population is a common problem faced by most countries in the world. This study uses 18 years (from 2002 to 2019) of panel data from 31 regions in China (excluding Hong Kong, Macao, and Taiwan Province), and establishes a panel threshold regression model to study the non-linear impact of the aging population on economic development. It is different from traditional research in that this paper divides 31 regions in China into three regions: Eastern, Central, and Western according to the classification standard of the National Bureau of Statistics of China and compares the different impacts of the aging population on economic development in the three regions. Although this study finds that the aging population promotes the economy of China’s eastern, central, and western regions, different threshold variables have dramatically different influences. When the sum of export and import is the threshold variable, the impact of the aging population on the eastern and the central region of China is significantly larger than that of the western region of China. However, when the unemployment rate is the threshold variable, the impact of the aging population on the western region of China is dramatically higher than the other regions’ impact. Thus, one of the contributions of this study is that if the local government wants to increase the positive impact of the aging population on the per capita GDP of China, the local governments of different regions should advocate more policies that align with their economic situation rather than always emulating policies from other regions.

  19. f

    Data_Sheet_2_Psychological State Among the General Chinese Population Before...

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    pdf
    Updated Jun 11, 2023
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    Fenfen Ge; Anni Zheng; Mengtong Wan; Guan Luo; Jun Zhang (2023). Data_Sheet_2_Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis.PDF [Dataset]. http://doi.org/10.3389/fpsyt.2021.591656.s005
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    pdfAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    Frontiers
    Authors
    Fenfen Ge; Anni Zheng; Mengtong Wan; Guan Luo; Jun Zhang
    License

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

    Description

    Background: The infectious disease Coronavirus Disease 2019 (COVID-19) outbroke in 2019 spread to multiple countries. The quick spread of the virus and isolation strategies may trigger psychological problems. Our aim was to explore the dynamic network structure of the psychological state before and during the epidemic.Methods: A web-based survey was conducted in two stages: the T1 stage (1 January 2019 to 31 December 2019) and the T2 stage (1 February 2020 to 8 March 2020). In both stages, the Patient Health Questionnaire-9, General Anxiety Disorder-7, and Pittsburgh Sleep Quality Index were used to assess depression, anxiety, and sleep, respectively.Results: We matched the data based on IP addresses. We included 1,978, 1,547, and 2,061 individuals who completed the depression, anxiety, and sleep assessments, respectively, at both stages. During epidemics, psychomotor agitation/retardation, inability to relax, restless behavior, and the frequency of using medicine had high centrality. Meanwhile, the network structure of psychological symptoms becomes stronger than before the epidemic.Conclusion: Symptoms of psychomotor agitation/retardation, inability to relax, and restless behavior should be treated preferentially. It is necessary to provide mental health services, including timely and effective early psychological intervention. In addition, we should also pay attention to the way patients use medicines to promote sleep quality.

  20. f

    Model configurations.

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    xls
    Updated Sep 12, 2024
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    Mingfu Xue; Junyu Zhu; Rusheng Wu; Xiayiwei Zhang; Yuan Chen (2024). Model configurations. [Dataset]. http://doi.org/10.1371/journal.pone.0307721.t001
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    xlsAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Mingfu Xue; Junyu Zhu; Rusheng Wu; Xiayiwei Zhang; Yuan Chen
    License

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

    Description

    The continuous decline in the birth rate can lead to a series of social and economic problems. Accurately predicting the birth rate of a region will help national and local governments to formulate more scientifically sound development policies. This paper proposes a discrete-aware model BRP-Net based on attention mechanism and LSTM, for effectively predicting the birth rate of prefecture-level cities. BRP-Net is trained using multiple variables related to comprehensive development of prefecture-level cities, covering factors such as economy, education and population structure that can influence the birth rate. Additionally, the comprehensive data of China’s prefecture-level cities exhibits strong spatiotemporal specificity. Our model leverages the advantages of attention mechanism to identify the feature correlation and temporal relationships of these multi-variable time series input data. Extensive experimental results demonstrate that the proposed BRP-Net has higher accuracy and better generalization performance compared to other mainstream methods, while being able to adapt to the spatiotemporal specificity of variables between prefecture-level cities. Using BRP-Net to achieve precise and robust prediction estimates of the birth rate in prefecture-level cities can provide more effective decision-making references for local governments to formulate more accurate and reasonable fertility encouragement policies.

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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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13 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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