66 datasets found
  1. 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.

  2. Population growth in China 2000-2024

    • statista.com
    Updated Jan 17, 2025
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    Statista (2025). Population growth in China 2000-2024 [Dataset]. https://www.statista.com/statistics/270129/population-growth-in-china/
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    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    The graph shows the population growth in China from 2000 to 2024. In 2024, the Chinese population decreased by about 0.1 percent or 1.39 million to around 1.408 billion people. Declining population growth in China Due to strict birth control measures by the Chinese government as well as changing family and work situations of the Chinese people, population growth has subsided over the past decades. Although the gradual abolition of the one-child policy from 2014 on led to temporarily higher birth figures, growth rates further decreased in recent years. As of 2024, leading countries in population growth could almost exclusively be found on the African continent and the Arabian Peninsula. Nevertheless, as of mid 2024, Asia ranked first by a wide margin among the continents in terms of absolute population. Future development of Chinese population The Chinese population reached a maximum of 1,412.6 million people in 2021 but decreased by 850,000 in 2022 and another 2.08 million in 2023. Until 2022, China had still ranked the world’s most populous country, but it was overtaken by India in 2023. Apart from the population decrease, a clear growth trend in Chinese cities is visible. By 2024, around 67 percent of Chinese people lived in urban areas, compared to merely 36 percent in 2000.

  3. Population distribution by five-year age group in China 2023

    • statista.com
    Updated Nov 30, 2024
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    Statista (2024). Population distribution by five-year age group in China 2023 [Dataset]. https://www.statista.com/statistics/1101677/population-distribution-by-detailed-age-group-in-china/
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    Dataset updated
    Nov 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    As of 2023, the bulk of the Chinese population was aged between 25 and 59 years, amounting to around half of the population. A breakdown of the population by broad age groups reveals that around 61.3 percent of the total population was in working age between 16 and 59 years in 2023. Age cohorts below 25 years were considerably smaller, although there was a slight growth trend in recent years. Population development in China Population development in China over the past decades has been strongly influenced by political and economic factors. After a time of high fertility rates during the Maoist regime, China introduced birth-control measures in the 1970s, including the so-called one-child policy. The fertility rate dropped accordingly from around six children per woman in the 1960s to below two at the end of the 20th century. At the same time, life expectancy increased consistently. In the face of a rapidly aging society, the government gradually lifted the one-child policy after 2012, finally arriving at a three-child policy in 2021. However, like in most other developed countries nowadays, people in China are reluctant to have more than one or two children due to high costs of living and education, as well as changed social norms and private values. China’s top-heavy age pyramid The above-mentioned developments are clearly reflected in the Chinese age pyramid. The age cohorts between 30 and 39 years are the last two larger age cohorts. The cohorts between 15 and 24, which now enter childbearing age, are decisively smaller, which will have a negative effect on the number of births in the coming decade. When looking at a gender distribution of the population pyramid, a considerable gender gap among the younger age cohorts becomes visible, leaving even less room for growth in birth figures.

  4. N

    China, TX Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). China, TX Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in China from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/china-tx-population-by-year/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    China, Texas
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the China population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of China across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of China was 1,282, a 0.71% increase year-by-year from 2022. Previously, in 2022, China population was 1,273, a decline of 0.70% compared to a population of 1,282 in 2021. Over the last 20 plus years, between 2000 and 2023, population of China increased by 120. In this period, the peak population was 1,289 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the China is shown in this column.
    • Year on Year Change: This column displays the change in China population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for China Population by Year. You can refer the same here

  5. N

    China, TX Population Dataset: Yearly Figures, Population Change, and Percent...

    • neilsberg.com
    csv, json
    Updated Sep 18, 2023
    + more versions
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    Neilsberg Research (2023). China, TX Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis [Dataset]. https://www.neilsberg.com/research/datasets/6e3289de-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Sep 18, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    China, Texas
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2022, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2022. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2022. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the China population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of China across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2022, the population of China was 1,273, a 0.55% decrease year-by-year from 2021. Previously, in 2021, China population was 1,280, a decline of 0.62% compared to a population of 1,288 in 2020. Over the last 20 plus years, between 2000 and 2022, population of China increased by 111. In this period, the peak population was 1,288 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2022

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2022)
    • Population: The population for the specific year for the China is shown in this column.
    • Year on Year Change: This column displays the change in China population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for China Population by Year. You can refer the same here

  6. Countries with the highest population 1950-2100

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). Countries with the highest population 1950-2100 [Dataset]. https://www.statista.com/statistics/268107/countries-with-the-highest-population/
    Explore at:
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    World
    Description

    From now until 2100, India and China will remain the most populous countries in the world, however China's population decline has already started, and it is on course to fall by around 50 percent in the 2090s; while India's population decline is projected to begin in the 2060s. Of the 10 most populous countries in the world in 2100, five will be located in Asia, four in Africa, as well as the United States. Rapid growth in Africa Rapid population growth across Africa will see the continent's population grow from around 1.5 billion people in 2024 to 3.8 billion in 2100. Additionally, unlike China or India, population growth in many of these countries is not expected to go into decline, and instead is expected to continue well into the 2100s. Previous estimates had projected these countries' populations would be much higher by 2100 (the 2019 report estimated Nigeria's population would exceed 650 million), yet the increased threat of the climate crisis and persistent instability is delaying demographic development and extending population growth. The U.S. as an outlier Compared to the nine other largest populations in 2100, the United States stands out as it is more demographically advanced, politically stable, and economically stronger. However, while most other so-called "advanced countries" are projected to see their population decline drastically in the coming decades, the U.S. population is projected to continue growing into the 2100s. This will largely be driven by high rates of immigration into the U.S., which will drive growth despite fertility rates being around 1.6 births per woman (below the replacement level of 2.1 births per woman), and the slowing rate of life expectancy. Current projections estimate the U.S. will have a net migration rate over 1.2 million people per year for the remainder of the century.

  7. Natural population growth rate in China 2023, by region

    • statista.com
    Updated Nov 11, 2024
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    Statista (2024). Natural population growth rate in China 2023, by region [Dataset]. https://www.statista.com/statistics/1088099/china-natural-population-growth-rate-by-region-province/
    Explore at:
    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    In 2023, the natural growth rate of the population across China varied between 7.96 people per 1,000 inhabitants (per mille) in Tibet and -6.92 per mille in Heilongjiang province. The national total population growth rate turned negative in 2022 and ranged at -1.48 per mille in 2023. Regional disparities in population growth The natural growth rate is the difference between the birth rate and the death rate of a certain region. In China, natural population growth reached the highest values in the western regions of the country. These areas have a younger population and higher fertility rates. Although the natural growth rate does not include the direct effects of migration, migrants are often young people in their reproductive years, and their movement may therefore indirectly affect the birth rates of their home and host region. This is one of the reasons why Guangdong province, which received a lot of immigrants over the last decades, has a comparatively high population growth rate. At the same time, Jilin, Liaoning, and Heilongjiang province, all located in northeast China, suffer not only from low fertility, but also from emigration of young people searching for better jobs elsewhere. The impact of uneven population growth The current distribution of natural population growth rates across China is most likely to remain in the near future, while overall population decline is expected to accelerate. Regions with less favorable economic opportunities will lose their inhabitants faster. The western regions with their high fertility rates, however, have only small total populations, which limits their effect on China’s overall population size.

  8. w

    Top countries yearlies by total rural population in China and in 2021

    • workwithdata.com
    Updated Apr 9, 2025
    + more versions
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    Work With Data (2025). Top countries yearlies by total rural population in China and in 2021 [Dataset]. https://www.workwithdata.com/charts/countries-yearly?agg=sum&chart=hbar&f=2&fcol0=country&fcol1=date&fop0=%3D&fop1=%3D&fval0=China&fval1=2021&x=total&y=rural_population
    Explore at:
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Work With Data
    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 horizontal bar chart displays rural population (people) by countries yearly using the aggregation sum in China. The data is filtered where the date is 2021. The data is about countries per year.

  9. w

    Top countries yearlies by total birth rate in China

    • workwithdata.com
    Updated Apr 9, 2025
    + more versions
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    Work With Data (2025). Top countries yearlies by total birth rate in China [Dataset]. https://www.workwithdata.com/charts/countries-yearly?agg=avg&chart=hbar&f=1&fcol0=country&fop0=%3D&fval0=China&x=total&y=birth_rate
    Explore at:
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Work With Data
    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 horizontal bar chart displays birth rate (per 1,000 people) by countries yearly using the aggregation average, weighted by population in China. The data is about countries per year.

  10. N

    China, Maine Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). China, Maine Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in China town from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/china-me-population-by-year/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Maine, China
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the China town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of China town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of China town was 4,568, a 0.88% increase year-by-year from 2022. Previously, in 2022, China town population was 4,528, an increase of 1.21% compared to a population of 4,474 in 2021. Over the last 20 plus years, between 2000 and 2023, population of China town increased by 461. In this period, the peak population was 4,568 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the China town is shown in this column.
    • Year on Year Change: This column displays the change in China town population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for China town Population by Year. You can refer the same here

  11. N

    China Grove, TX Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). China Grove, TX Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in China Grove from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/china-grove-tx-population-by-year/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    China Grove, Texas
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the China Grove population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of China Grove across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of China Grove was 1,131, a 0.35% decrease year-by-year from 2022. Previously, in 2022, China Grove population was 1,135, a decline of 0.18% compared to a population of 1,137 in 2021. Over the last 20 plus years, between 2000 and 2023, population of China Grove decreased by 117. In this period, the peak population was 1,318 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the China Grove is shown in this column.
    • Year on Year Change: This column displays the change in China Grove population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for China Grove Population by Year. You can refer the same here

  12. N

    China Township, Michigan Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
    Share
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    Close
    Cite
    Neilsberg Research (2024). China Township, Michigan Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in China township from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/china-township-mi-population-by-year/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    China Township, Michigan
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the China township population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of China township across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of China township was 3,519, a 0.34% increase year-by-year from 2022. Previously, in 2022, China township population was 3,507, a decline of 0% compared to a population of 3,507 in 2021. Over the last 20 plus years, between 2000 and 2023, population of China township increased by 157. In this period, the peak population was 3,692 in the year 2007. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the China township is shown in this column.
    • Year on Year Change: This column displays the change in China township population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for China township Population by Year. You can refer the same here

  13. Population in China in 2023, by region

    • statista.com
    Updated Apr 14, 2025
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    Statista (2025). Population in China in 2023, by region [Dataset]. https://www.statista.com/statistics/279013/population-in-china-by-region/
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    Dataset updated
    Apr 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    In 2023, approximately 127.1 million people lived in Guangdong province in China. That same year, only about 3.65 million people lived in the sparsely populated highlands of Tibet. Regional differences in China China is the world’s most populous country, with an exceptional economic growth momentum. The country can be roughly divided into three regions: Western, Eastern, and Central China. Western China covers the most remote regions from the sea. It also has the highest proportion of minority population and the lowest levels of economic output. Eastern China, on the other hand, enjoys a high level of economic development and international corporations. Central China lags behind in comparison to the booming coastal regions. In order to accelerate the economic development of Western and Central Chinese regions, the PRC government has ramped up several incentive plans such as ‘Rise of Central China’ and ‘China Western Development’. Economic power of different provinces When observed individually, some provinces could stand an international comparison. Jiangxi province, for example, a medium-sized Chinese province, had a population size comparable to Argentina or Spain in 2023. That year, the GDP of Zhejiang, an eastern coastal province, even exceeded the economic output of the Netherlands. In terms of per capita annual income, the municipality of Shanghai reached a level close to that of the Czech Republik. Nevertheless, as shown by the Gini Index, China’s economic spur leaves millions of people in dust. Among the various kinds of economic inequality in China, regional or the so-called coast-inland disparity is one of the most significant. Posing as evidence for the rather large income gap in China, the poorest province Heilongjiang had a per capita income similar to that of Sri Lanka that year.

  14. g

    ESRI, China's Population Density by Administrative Regions, China, 2006

    • geocommons.com
    Updated Apr 29, 2008
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    data (2008). ESRI, China's Population Density by Administrative Regions, China, 2006 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    Apr 29, 2008
    Dataset provided by
    data
    ESRI
    Description

    The computed population density data for the map is based on a media CD released by ESRI in 2006. According to the media CD, China in 2006 comprised of 33 provinces. These include Tibet (now named Xizang, an autonomously administered region), Hong Kong and Macau (both of which are designated as special districts) along with Xingiang in the west, parts of which are involved in an unsettled border dispute with a neighboring country, as can be seen by a dotted line in google base map of the region and Taiwan. Compare this map with the population density map of 2002 that now has only 32 provinces...

  15. A

    China, Hong Kong Special Administrative Region - Population Counts

    • data.amerigeoss.org
    geotiff
    Updated May 26, 2023
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    UN Humanitarian Data Exchange (2023). China, Hong Kong Special Administrative Region - Population Counts [Dataset]. https://data.amerigeoss.org/ru/dataset/worldpop-china-hong-kong-special-administrative-region-population
    Explore at:
    geotiffAvailable download formats
    Dataset updated
    May 26, 2023
    Dataset provided by
    UN Humanitarian Data Exchange
    Area covered
    Hong Kong
    Description

    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.


    Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App.
    The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively):

    - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020.
    - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020.
    - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019)
    -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019).
    -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets.
    -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020.
    -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019).

    Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent.

    Data for earlier dates is available directly from WorldPop.

    WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

  16. f

    DataSheet_1_Spatiotemporal Patterns of CRF07_BC in China: A Population-Based...

    • datasetcatalog.nlm.nih.gov
    Updated Feb 14, 2022
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    Liao, Lingjie; Ruan, Yuhua; Zheng, Shan; Feng, Yi; Gan, Mengze; Xing, Hui; Hao, Jingjing; Shao, Yiming (2022). DataSheet_1_Spatiotemporal Patterns of CRF07_BC in China: A Population-Based Study of the HIV Strain With the Highest Infection Rates.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000302457
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    Dataset updated
    Feb 14, 2022
    Authors
    Liao, Lingjie; Ruan, Yuhua; Zheng, Shan; Feng, Yi; Gan, Mengze; Xing, Hui; Hao, Jingjing; Shao, Yiming
    Area covered
    China
    Description

    The prevalence of CRF07_BC is 39.7% and has become the most infectious HIV strain in China. To study the transmission and diffusion trajectory of CRF07_BC in China and to prevent further expansion of its transmission. A total of 16,635 sequences of the CRF07_BC pol gene were collected from 1997-2020. We characterized the gene subtypes according to a phylogenetic tree analysis. A 0.50% molecular network was constructed to analyze the transmission relationship among different provinces for CRF07_BC and its two epidemic clusters. Spatial and temporal propagation characteristics were analyzed according to phylogeographic analysis. Finally, we evaluated the differences in transmission of CRF07_BC-O, and CRF07_BC-N. Our dataset included 8,816 sequences of CRF07_BC-N and 7,819 sequences of CRF07_BC-O. There were 7,132 CRF07_BC sequences in the molecular network, and the rate of clustered was 42.9%. Compared to CRF07_BC-O, CRF07_BC-N showed significantly (P<0.001) higher transmission-specific rates. CRF07_BC originated among injecting drug users (IDUs), and spread to men who have sex with men (MSMs) and heterosexual individuals (HETs), while MSMs also transmitted directly to HETs. CRF07_BC-O and CRF07_BC-N were prevalent in Xinjiang and Sichuan, respectively, before spreading interprovincially. In modern China, CRF07_BC-N occurs in five of the major economic zones. The CRF07_BC strain, which has contributed to the highest number of HIV infections in China, is divided into two epidemic clusters. Compared with CRF07_BC-O, risk of transmission is much greater in CRF07_BC-N, which is predominantly prevalent in economically developed provinces, and both MSMs and IDUs have transmitted this epidemic cluster to HETs. High-resolution, large-scale monitoring is a useful tool in assessing the trend and spread of the HIV epidemic. The rapidly developing economy of China requires an equally rapid response to the prevention and control of infectious diseases.

  17. n

    Data from: Effect of sire population on the genetic diversity and fitness of...

    • data.niaid.nih.gov
    zip
    Updated Feb 23, 2024
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    Junmin Li; Caihong Qi; Jingjing Gu; Zexin Jin (2024). Effect of sire population on the genetic diversity and fitness of F1 progeny in the endangered Chinese endemic Sinocalycanthus chinensis [Dataset]. http://doi.org/10.5061/dryad.stqjq2c0h
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    zipAvailable download formats
    Dataset updated
    Feb 23, 2024
    Dataset provided by
    Taizhou Ecological Environment Bureau
    Chongqing Public Security Bureau
    Taizhou University
    Authors
    Junmin Li; Caihong Qi; Jingjing Gu; Zexin Jin
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Sinocalycanthus chinensis Cheng et S. Y. Chang (Calycanthaceae), which has a unique systematic status, is listed as a national second-class protected plants of China . In this study, the genetic diversity, performance, and fitness of F1 progeny from crosses between the Damingshan (DMS) population of Sinocalycanthus chinensis and pollen parents from the Daleishan (DLS) and Longxushan (LXS) populations were examined. The DLS population has a relatively small population size, low genetic diversity, and considerable geographical and genetic distances from the DMS population relative to the LXS population. Compared with naturally occurring seeds, DLS-sired seeds had the highest thousand-seed weight, starch content, fat content, germination rate, germination index, and emergence rate, but the lowest protein content. Naturally occurring, open-pollinated seeds had the lowest thousand-seed weight, starch content, and fat content, but the highest protein content. Compared with natural F1 progeny, DMS × DLS seedlings had the highest genetic diversity, photosynthetic parameters, and growth characteristics, except for leaf mass ratio and stem mass ratio. Under strong light, DMS × DLS seedlings exhibited a Fv/Fm value of 0.75, while the other two seedling types exhibited Fv/Fm values of 0.65. DLS-sired seeds had the most vigorous growth characteristics except for leaf mass ratio and stem mass ratio. These results suggest that genetic rescue by transplanting seedlings from the DLS population or hand pollination with pollen from the DLS population would be effective methods to reduce inbreeding depression and obtain strong offspring with high genetic diversity and fitness in the DMS population. Methods Pollen sources Plants from two S. chinensis populations located at two sites with different population sizes, levels of genetic diversity, and the relative geographical and genetic distances from the DMS seed parent were used as the pollen parents. One is located at Longxushan Mountain (LXS) in Anhui Province, China; this population is small with relatively high genetic diversity and with short geographical and low genetic distances from the DMS population (Table 1). This S. chinensis population is also within an evergreen broad-leaved forest. The main accompanying species are Litsea coreana var. sinensis, Symplocos setchuensi and Platycarya strobilacea. The other pollen parent population is located at Daleishan Mountain (DLS) in Tiantai County, Zhejiang Province, China, and it is a medium-sized population located a long geographical distance from the DMS population (Table 1). This S. chinensis population is located among shrubs within a valley. The main accompanying species are Camellia cuspidate, Spiraea salicifolia, Corylopsis sinensis, Rhododendron simsii, Actinidia chinensis, and Sargentodoxa cuneata. The DLS S. chinensis plants occur in the canopy and are intertwined with A. chinensis and S. cuneata. Hand pollination and seed collection Mature S. chinensis plants were selected as pollen donors. In May 2009, when the stigmas of S. chinensis flowers in DMS had matured, pollens were collected from flowers on 20 mature S. chinensis individuals in the LXS and DLS populations using Chinese brushes and stored in sterile plastic tubes. The pollen samples were maintained at 4°C and quickly transported to Damingshan Mountain, where the hand pollination was conducted with the DMS population. Pollen was transferred to DMS stigmas within 6 h. 30 mature individual plants in the DMS population were hand-pollinated with an average of 100 flowers per treatment. Each plant was randomly assigned to a crossing treatment and in total of 200 flowers were performed. All hand-pollinated stigmas were saturated with pollen. To exclude natural pollinators, plants were bagged with fine nylon mesh before flowering. Each hand-pollinated flower was also emasculated before the stigma became receptive to prevent selfing. Pollen was transferred directly from donor flower anthers onto receptive stigmas until the stigmas were saturated. The date was selected to ensure that each flower was encountered at the onset of its stigmatic surface receptivity. 30 naturally open pollinated DMS plants were selected as the control (Bossuyt, 2007; Holme, James & Hoffmann, 2008). Fitness measurement Fitness of the F1 progeny was defined as the relative reproductive success of a genotype as measured by survival, fecundity and other life history parameters (Molina-Montenegro et al., 2013) and was indicated by seed number per fruit, seed weight, seed size germination days, total germination rate, seedling emergence rate (Baker, Richards & Tremayne, 1994) and seedling biomass (Du, Yang, Guan & Li, 2016). In October 2009, S. chinensis fruits were collected and air-dried, and seeds were collected from the dried fruits. Thousand-seed weights were measured using an electronic balance with an accuracy of 0.0001 g. The starch, lipid, and protein contents of seeds were measured using anthrone–sulfuric acid colorimetric, Soxhlet extractor, and UV-spectrophotometric methods, respectively (Song, Cheng, Jiang, Long & Huang, 2008). In March, 2010, DMS × DLS (pollen) seeds (hereafter, DLSH), DMS × LXS (pollen) seeds (hereafter, LXSH), and control seeds were germinated in an illuminated incubator (Jiangnan Instrument Inc., Ningbo, China) with 30/15°C and 12 h/12 h light/dark cycles at 80% humidity. Seeds were immersed in H2SO4 for 3 min, rinsed with sterilized water, and surface sterilized with 70% ethanol. Seeds were immersed in sterilized water and incubated at 28ºC for 2 days. Fifty seeds were placed into 3-mm deep silicon sand. Seeds were covered with moist filter paper to prevent them from drying out. Three replicates were used with a total of 150 seeds for each treatment. Seeds were considered to be germinated when their radicle length exceeded 2 mm (Hussain, Aljaloud, Alshammafy, Karimulla & Al-Aswad, 1997), and germination was recorded daily for 100 days. Germination-related indices were calculated as follows, according to previously described methods (Cai, 2008): (i) germination days were recorded as the number of days after sowing when the seeds begin germinating; (ii) total germination rate (%) = total number of germinated seeds on the 100th day / total number of seeds used for germination experiment × 100 %. In March 2010, S. chinensis seeds of F1 DLSH, F1 LXSH, and control progeny were immersed in H2SO4 for 3 min, rinsed with sterilized water, and surface sterilized with 70% ethanol. Seeds were immersed in sterilized water and incubated at 28ºC for 2 days. Seeds were planted 2-cm deep into soil-filled pots. Three seeds were planted per pot, and a total of 50 pots were used for each treatment. Sufficient tap water was added every day. One hundred days after planting, the seedling emergence rate was defined as the percentage of healthy seedlings that emerged, with a hypocotyl appearing on or above the soil surface (Demir & Mavi, 2004; Bolek, 2010). After the performance measurement described below, plants were harvested and divided into leaves, stems, and roots. Plant material was oven-dried at 105°C for 1 h and then at 80°C until a constant weight was reached. The leaf, stem, and root biomasses were weighed with a balance to an accuracy of 0.1 mg, and the total biomass of seedlings was subsequently calculated. Seedling photosynthetic physiological performance measurement In May 2010, healthy F1 DLSH, FI LXSH, and control seedlings were transplanted into pots, with each pot containing one seedling. In August 2010, we conducted in-situ photosynthetic trait measurements on a sunny day using a mature middle leaflet at the same position across plants, using a GFS-3000 Portable Gas Exchange Fluorescence System (Heinz Walz GmbH, Effeltrich, Germany). The photosynthetically active radiation (PAR) was maintained at 800 μmol m-2 s-1 using a red-blue LED light source, and the temperature was maintained at 25°C with a relative humidity of 70% inside the leaf measurement chamber. The CO2 concentration within the chamber was maintained at 400 µmol mol-1. We recorded the net photosynthetic rate (Pn), stomatal conductance (Gs), transpiration rate (Tr), and intercellular CO2 concentration (Ci) between 08:30 and 11:30. Three leaves per plant were chosen, and six consecutive measurements were performed (Li, Liao, Guan, Wang & Zhang, 2012). To construct light response curves, we obtained all photosynthesis measurements between 09:30 and 11:00 (Beijing time) on a mature leaf from each plant with a leaf temperature of 25°C, a CO2 concentration of 400 ppm, and a relative humidity of 70%. We used a red-blue LED light source attached to the system to produce steady photosynthetically active radiation (PAR). Prior to the measurements, we allowed the mature leaf to acclimate under a PAR of 2000 μmol m-2 s-1 for 30 min to avoid photo-inhibition. As soon as the value stabilized, we exposed the leaves to a series of PAR values for 20 min or so in the following order: 2000, 1500, 1200, 1000, 800, 600, 400, 200, 100, 50, 20 and 0 μmol m-2 s-1. The temporal interval between each concentration was 3 min. We fitted the entire photosynthetic light response curve in Origin 8.0 (OriginLab, Northampton, MA, USA) as a binary linear equation by calculating the maximum of the net photosynthetic rate (Pn) as Pmax. We utilized the following definitions. The light intensity at the maximum Pn value (Pmax) was defined as the light saturation point (LSP). The light intensity at a zero Pn value was defined as the light compensation point (LCP). The Pn at a maximum PAR of zero was defined as the dark respiration point (Rd). Chlorophyll fluorescence parameters under strong light (1200 μmol photons m-2 s-1) were measured between 12:00 and 14:00 with a portable chlorophyll fluorometer (OS30P, Opti-Science Inc., Hudson, NH, USA). Measurements were performed on the third undamaged adult leaf from the top of

  18. G

    Percent of world population by country, around the world |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 21, 2016
    + more versions
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    Globalen LLC (2016). Percent of world population by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/population_share/
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    csv, xml, excelAvailable download formats
    Dataset updated
    Mar 21, 2016
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    World
    Description

    The average for 2023 based on 196 countries was 0.51 percent. The highest value was in India: 17.94 percent and the lowest value was in Andorra: 0 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

  19. f

    A summary of sampled arthropods in the field survey.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Yong-Sheng Yao; Peng Han; Chang-Ying Niu; Yong-Cheng Dong; Xi-Wu Gao; Jin-Jie Cui; Nicolas Desneux (2023). A summary of sampled arthropods in the field survey. [Dataset]. http://doi.org/10.1371/journal.pone.0166771.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Yong-Sheng Yao; Peng Han; Chang-Ying Niu; Yong-Cheng Dong; Xi-Wu Gao; Jin-Jie Cui; Nicolas Desneux
    License

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

    Description

    Total counts of dominant arthropods in the experimental plots of Bt cotton or conventional cotton at HZAU experimental station (Wuhan, China) from late June to late August in 2013.

  20. Working-age population in China 1980-2050

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Working-age population in China 1980-2050 [Dataset]. https://www.statista.com/statistics/1219212/china-number-of-working-age-persons/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2023, about ***** million people in China were estimated by the UN to be at a working age between 15 and 64 years. After a steep increase in the second half of the 20th century, the size of the working-age population reached a turning point in 2015 and figures started to decrease thereafter. Changes in the working-age population China's demographic development is characterized by a rapid change from a high fertility rate to a low one. This has caused the development of an arc shaped graph of the working age population: quickly increasing numbers before 2010, a gradual turn with a minor second peak until around 2027, and a steep decline thereafter. The expected second maximum of the graph results from the abolishment of birth control measures after 2010, which proved less successful in increasing birth figures than expected. The same turn can be seen in the number of people eligible for work, with an accelerated downturn in the years of the coronavirus pandemic, where many people left the labor force. It is very likely that the size of the labor force will rebound slightly in the upcoming years, but the extent of the rebound, which parallels the second maximum of the working age population, might be limited. China's labor market China's labor market was once defined by its abundant and cheap labor force, but competition for talent has been getting increasingly tense in recent years. This development is very likely to further intensify and extend itself into the less skilled ranks of the labor market. As the number of people who fall within the retirement age group is increasing and adding to the burden on the economy, steps to keep labor participation high are necessary. Raising the retirement age and providing incentives to stay in the labor force, are measures being implemented by Chinese government. Strategies to increase labor productivity would be ideal to mitigate the pressure on the Chinese economy, however, realizing such strategies is challenging.

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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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Total population of China 1980-2030

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35 scholarly articles cite this dataset (View in Google Scholar)
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.

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