100+ datasets found
  1. Population of major cities in China 2021

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Population of major cities in China 2021 [Dataset]. https://www.statista.com/statistics/992683/china-population-in-first-and-second-tier-cities-by-city/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    China
    Description

    In 2021, around **** million people were estimated to be living in the urban area of Shanghai. Shanghai was the largest city in China in 2021, followed by Beijing, with around **** million inhabitants. The rise of the new first-tier cities The past decades have seen widespread and rapid urbanization and demographic transition in China. While the four first-tier megacities, namely Beijing, Shanghai, Guangzhou, and Shenzhen, are still highly attractive to people and companies due to their strong ability to synergize the competitive economic and social resources, some lower-tier cities are already facing declining populations, especially those in the northeastern region. Below the original four first-tier cities, 15 quickly developing cities are sharing the cake of the moving population with improving business vitality and GDP growth potential. These new first-tier cities are either municipalities directly under the central government, such as Chongqing and Tianjin, or regional central cities and provincial capitals, like Chengdu and Wuhan, or open coastal cities in the economically developed eastern regions. From urbanization to metropolitanization As more and more Chinese people migrate to large cities for better opportunities and quality of life, the ongoing urbanization has further evolved into metropolitanization. Among those metropolitans, Shenzhen's population exceeded **** million in 2020, a nearly ** percent increase from a decade ago, compared to eight percent in the already densely populated Shanghai. However, with people rushing into the big-four cities, the cost of housing, and other living standards, are soaring. As of 2020, the average sales price for residential real estate in Shenzhen exceeded ****** yuan per square meter. As a result, the fast-growing and more cost-effective new first-tier cities would be more appealing in the coming years. Furthermore, Shanghai and Beijing have set plans to control the size of their population to ** and ** million, respectively, before 2035.

  2. S

    Data from: A standardized dataset of built-up areas of China’s cities with...

    • scidb.cn
    Updated Jul 7, 2021
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    Jiang Huiping; Sun Zhongchang; Guo Huadong; Du Wenjie; Xing Qiang; Cai Guoyin (2021). A standardized dataset of built-up areas of China’s cities with populations over 300,000 for the period 1990–2015 [Dataset]. http://doi.org/10.11922/sciencedb.j00076.00004
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 7, 2021
    Dataset provided by
    Science Data Bank
    Authors
    Jiang Huiping; Sun Zhongchang; Guo Huadong; Du Wenjie; Xing Qiang; Cai Guoyin
    License

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

    Area covered
    China
    Description

    Here we used remote sensing data from multiple sources (time-series of Landsat and Sentinel images) to map the impervious surface area (ISA) at five-year intervals from 1990 to 2015, and then converted the results into a standardized dataset of the built-up area for 433 Chinese cities with 300,000 inhabitants or more, which were listed in the United Nations (UN) World Urbanization Prospects (WUP) database (including Mainland China, Hong Kong, Macao and Taiwan). We employed a range of spectral indices to generate the 1990–2015 ISA maps in urban areas based on remotely sensed data acquired from multiple sources. In this process, various types of auxiliary data were used to create the desired products for urban areas through manual segmentation of peri-urban and rural areas together with reference to several freely available products of urban extent derived from ISA data using automated urban–rural segmentation methods. After that, following the well-established rules adopted by the UN, we carried out the conversion to the standardized built-up area products from the 1990–2015 ISA maps in urban areas, which conformed to the definition of urban agglomeration area (UAA). Finally, we implemented data postprocessing to guarantee the spatial accuracy and temporal consistency of the final product.The standardized urban built-up area dataset (SUBAD–China) introduced here is the first product using the same definition of UAA adopted by the WUP database for 433 county and higher-level cities in China. The comparisons made with contemporary data produced by the National Bureau of Statistics of China, the World Bank and UN-habitat indicate that our results have a high spatial accuracy and good temporal consistency and thus can be used to characterize the process of urban expansion in China.The SUBAD–China contains 2,598 vector files in shapefile format containing data for all China's cities listed in the WUP database that have different urban sizes and income levels with populations over 300,000. Attached with it, we also provided the distribution of validation points for the 1990–2010 ISA products of these 433 Chinese cities in shapefile format and the confusion matrices between classified data and reference data during different time periods as a Microsoft Excel Open XML Spreadsheet (XLSX) file.Furthermore, The standardized built-up area products for such cities will be consistently updated and refined to ensure the quality of their spatiotemporal coverage and accuracy. The production of this dataset together with the usage of population counts derived from the WUP database will close some of the data gaps in the calculation of SDG11.3.1 and benefit other downstream applications relevant to a combined analysis of the spatial and socio-economic domains in urban areas.

  3. Population density in China 2023, by region

    • statista.com
    Updated Nov 15, 2024
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    Statista (2024). Population density in China 2023, by region [Dataset]. https://www.statista.com/statistics/1183370/china-population-density-by-region-province/
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    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    China is a vast and diverse country and population density in different regions varies greatly. In 2023, the estimated population density of the administrative area of Shanghai municipality reached about 3,922 inhabitants per square kilometer, whereas statistically only around three people were living on one square kilometer in Tibet. Population distribution in China China's population is unevenly distributed across the country: while most people are living in the southeastern half of the country, the northwestern half – which includes the provinces and autonomous regions of Tibet, Xinjiang, Qinghai, Gansu, and Inner Mongolia – is only sparsely populated. Even the inhabitants of a single province might be unequally distributed within its borders. This is significantly influenced by the geography of each region, and is especially the case in the Guangdong, Fujian, or Sichuan provinces due to their mountain ranges. The Chinese provinces with the largest absolute population size are Guangdong in the south, Shandong in the east and Henan in Central China. Urbanization and city population Urbanization is one of the main factors which have been reshaping China over the last four decades. However, when comparing the size of cities and urban population density, one has to bear in mind that data often refers to the administrative area of cities or urban units, which might be much larger than the contiguous built-up area of that city. The administrative area of Beijing municipality, for example, includes large rural districts, where only around 200 inhabitants are living per square kilometer on average, while roughly 20,000 residents per square kilometer are living in the two central city districts. This is the main reason for the huge difference in population density between the four Chinese municipalities Beijing, Tianjin, Shanghai, and Chongqing shown in many population statistics.

  4. T

    China - Population In The Largest City

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 10, 2025
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    TRADING ECONOMICS (2025). China - Population In The Largest City [Dataset]. https://tradingeconomics.com/china/population-in-the-largest-city-percent-of-urban-population-wb-data.html
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

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

    Population in the largest city (% of urban population) in China was reported at 3.2342 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

  5. Urbanization rate in China 1980-2024

    • statista.com
    Updated Jan 17, 2025
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    Statista (2025). Urbanization rate in China 1980-2024 [Dataset]. https://www.statista.com/statistics/270162/urbanization-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, approximately 67 percent of the total population in China lived in cities. The urbanization rate has increased steadily in China over the last decades. Degree of urbanization in China Urbanization is generally defined as a process of people migrating from rural to urban areas, during which towns and cities are formed and increase in size. Even though urbanization is not exclusively a modern phenomenon, industrialization and modernization did accelerate its progress. As shown in the statistic at hand, the degree of urbanization of China, the world's second-largest economy, rose from 36 percent in 2000 to around 51 percent in 2011. That year, the urban population surpassed the number of rural residents for the first time in the country's history.The urbanization rate varies greatly in different parts of China. While urbanization is lesser advanced in western or central China, in most coastal regions in eastern China more than two-thirds of the population lives already in cities. Among the ten largest Chinese cities in 2021, six were located in coastal regions in East and South China. Urbanization in international comparison Brazil and Russia, two other BRIC countries, display a much higher degree of urbanization than China. On the other hand, in India, the country with the worlds’ largest population, a mere 36.3 percent of the population lived in urban regions as of 2023. Similar to other parts of the world, the progress of urbanization in China is closely linked to modernization. From 2000 to 2024, the contribution of agriculture to the gross domestic product in China shrank from 14.7 percent to 6.8 percent. Even more evident was the decrease of workforce in agriculture.

  6. T

    China - Urban Population (% Of Total)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 31, 2017
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    TRADING ECONOMICS (2017). China - Urban Population (% Of Total) [Dataset]. https://tradingeconomics.com/china/urban-population-percent-of-total-wb-data.html
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    May 31, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

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

    Urban population (% of total population) in China was reported at 65.54 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Urban population (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  7. C

    China Population: Education Level: City: Primary: Female

    • ceicdata.com
    Updated Dec 15, 2019
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    CEICdata.com (2019). China Population: Education Level: City: Primary: Female [Dataset]. https://www.ceicdata.com/en/china/population-sample-survey-level-of-education/population-education-level-city-primary-female
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    Dataset updated
    Dec 15, 2019
    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, 2011 - Dec 1, 2022
    Area covered
    China
    Variables measured
    Population
    Description

    China Population: Education Level: City: Primary: Female data was reported at 51.402 Person th in 2023. This records an increase from the previous number of 50.810 Person th for 2022. China Population: Education Level: City: Primary: Female data is updated yearly, averaging 31.382 Person th from Dec 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 49,064.541 Person th in 2020 and a record low of 25.979 Person th in 2008. China Population: Education Level: City: Primary: Female data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: Level of Education.

  8. Urban and rural population of China 2014-2024

    • statista.com
    Updated Jan 17, 2025
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    Statista (2025). Urban and rural population of China 2014-2024 [Dataset]. https://www.statista.com/statistics/278566/urban-and-rural-population-of-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 943.5 million people lived in urban regions in China and 464.8 million in rural. That year, the country had a total population of approximately 1.41 billion people. As of 2024, China was the second most populous country in the world. Urbanization in China Urbanization refers to the process by which people move from rural to urban areas and how a society adapts to the population shift. It is usually seen as a driving force in economic growth, accompanied by industrialization, modernization and the spread of education. Urbanization levels tend to be higher in industrial countries, whereas the degree of urbanization in developing countries remains relatively low. According to World Bank, a mere 19.4 percent of the Chinese population had been living in urban areas in 1980. Since then, China’s urban population has skyrocketed. By 2024, about 67 percent of the Chinese population lived in urban areas. Regional urbanization rates In the last decades, urbanization has progressed greatly in every region of China. Even in most of the more remote Chinese provinces, the urbanization rate surpassed 50 percent in recent years. However, the most urbanized areas are still to be found in the coastal eastern and southern regions of China. The population of Shanghai, the largest city in China and the world’s seventh largest city ranged at around 24 million people in 2023. China’s urban areas are characterized by a developing middle class. Per capita disposable income of Chinese urban households has more than doubled between 2010 and 2020. The emerging middle class is expected to become a significant driver for the continuing growth of the Chinese economy.

  9. C

    China Population: Prefecture Level City

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China Population: Prefecture Level City [Dataset]. https://www.ceicdata.com/en/china/population-prefecture-level-city/population-prefecture-level-city
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

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

    China Population: Prefecture Level City data was reported at 1,291,941.900 Person th in 2015. This records an increase from the previous number of 1,289,538.000 Person th for 2014. China Population: Prefecture Level City data is updated yearly, averaging 1,194,579.100 Person th from Dec 1996 (Median) to 2015, with 20 observations. The data reached an all-time high of 1,291,941.900 Person th in 2015 and a record low of 897,719.200 Person th in 1997. China Population: Prefecture Level City data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City.

  10. w

    Dataset of country and population of cities in China

    • workwithdata.com
    Updated Nov 7, 2024
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    Work With Data (2024). Dataset of country and population of cities in China [Dataset]. https://www.workwithdata.com/datasets/cities?col=city%2Ccountry%2Cpopulation&f=1&fcol0=country&fop0=%3D&fval0=China
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    Dataset updated
    Nov 7, 2024
    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 dataset is about cities in China. It has 748 rows. It features 3 columns: country, and population.

  11. T

    China - Population In Urban Agglomerations Of More Than 1 Million

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 2, 2017
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    TRADING ECONOMICS (2017). China - Population In Urban Agglomerations Of More Than 1 Million [Dataset]. https://tradingeconomics.com/china/population-in-urban-agglomerations-of-more-than-1-million-wb-data.html
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jun 2, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

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

    Population in urban agglomerations of more than 1 million in China was reported at 451017824 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Population in urban agglomerations of more than 1 million - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  12. f

    Growth and development in prefecture-level cities in China

    • plos.figshare.com
    pdf
    Updated May 30, 2023
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    Daniel Zünd; Luís M. A. Bettencourt (2023). Growth and development in prefecture-level cities in China [Dataset]. http://doi.org/10.1371/journal.pone.0221017
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Daniel Zünd; Luís M. A. Bettencourt
    License

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

    Area covered
    China
    Description

    Nowhere has the scale and scope of urbanization been larger than in China over the last few decades. We analyze Chinese city development between the years 1996 and 2014 using data for the urbanized components of prefecture-level cities. We show that, despite much variability and fast economic and demographic change, China is undergoing transformations similar to the historical trajectory of other urban systems. We also show that the distinguishing signs of urban economies—superlinear scaling of agglomeration effects in economic productivity and economies of scale in land use—also characterize Chinese cities. We then analyze the structure of economic change in Chinese cities using a variety of metrics, characterizing employment, firms and households. Population size estimates remain a major challenge for Chinese cities, as official numbers are often reported based on the Hukou registration system. We use the information in the residuals to scaling relations for economic quantities to predict actual resident population and show that these estimates agree well with data for a subset of cities for which counts of total resident population exist. We conclude with a list of issues that must be better understood and measured to make sense of present urban development trajectories in China.

  13. C

    China Percent urban population - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 18, 2015
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    Globalen LLC (2015). China Percent urban population - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/China/Percent_urban_population/
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    xml, excel, csvAvailable download formats
    Dataset updated
    May 18, 2015
    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, 2024
    Area covered
    China
    Description

    China: Percent urban population: The latest value from 2024 is 65.54 percent, an increase from 64.57 percent in 2023. In comparison, the world average is 61.70 percent, based on data from 196 countries. Historically, the average for China from 1960 to 2024 is 33.32 percent. The minimum value, 16.2 percent, was reached in 1960 while the maximum of 65.54 percent was recorded in 2024.

  14. C

    China No of Prefecture Level City: Population over 4 Million

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China No of Prefecture Level City: Population over 4 Million [Dataset]. https://www.ceicdata.com/en/china/no-of-prefecture-level-city-by-population/no-of-prefecture-level-city-population-over-4-million
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2009 - Dec 1, 2020
    Area covered
    China
    Variables measured
    Population
    Description

    China Number of Prefecture Level City: Population over 4 Million data was reported at 22.000 Unit in 2020. This records an increase from the previous number of 20.000 Unit for 2019. China Number of Prefecture Level City: Population over 4 Million data is updated yearly, averaging 14.000 Unit from Dec 2002 (Median) to 2020, with 18 observations. The data reached an all-time high of 22.000 Unit in 2020 and a record low of 10.000 Unit in 2002. China Number of Prefecture Level City: Population over 4 Million data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: No of Prefecture Level City by Population.

  15. C

    China Population: City

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China Population: City [Dataset]. https://www.ceicdata.com/en/china/population-sample-survey-by-age-and-sex-city/population-city
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    China
    Variables measured
    Population
    Description

    China Population: City data was reported at 580.987 Person th in 2022. This records a decrease from the previous number of 601.812 Person th for 2021. China Population: City data is updated yearly, averaging 349.426 Person th from Dec 1982 (Median) to 2022, with 34 observations. The data reached an all-time high of 575,170.855 Person th in 2020 and a record low of 142.240 Person th in 1994. China Population: City data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: By Age and Sex: City.

  16. C

    China Population: City: Age 30 to 34

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China Population: City: Age 30 to 34 [Dataset]. https://www.ceicdata.com/en/china/population-sample-survey-by-age-and-sex-city/population-city-age-30-to-34
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    China
    Variables measured
    Population
    Description

    China Population: City: Age 30 to 34 data was reported at 53.290 Person th in 2023. This records a decrease from the previous number of 55.445 Person th for 2022. China Population: City: Age 30 to 34 data is updated yearly, averaging 35.119 Person th from Dec 1982 (Median) to 2023, with 35 observations. The data reached an all-time high of 60,075.584 Person th in 2020 and a record low of 13.751 Person th in 1994. China Population: City: Age 30 to 34 data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: By Age and Sex: City.

  17. Population density in urban areas of China 2023, by region

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Population density in urban areas of China 2023, by region [Dataset]. https://www.statista.com/statistics/279040/population-density-in-urban-areas-of-china-by-region/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    This statistic shows the population density in urban areas of China in 2023, by region. In 2023, cities in Heilongjiang province had the highest population density in China with around ***** people living on one square kilometer on average. However, as the administrative areas of many Chinese cities reach beyond their contiguous built-up urban areas - and this by varying degree, the statistical significance of the given figures may be limited. By comparison, the Chinese province with the highest overall population density is Jiangsu province in Eastern China reaching about 7956 people per square kilometer in 2023.

  18. T

    China - Urban Population

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 23, 2013
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    TRADING ECONOMICS (2013). China - Urban Population [Dataset]. https://tradingeconomics.com/china/urban-population-wb-data.html
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jul 23, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

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

    Urban population in China was reported at 923498574 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Urban population - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

  19. N

    China, Maine Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). China, Maine Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/china-me-population-by-age/
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    csv, jsonAvailable download formats
    Dataset updated
    Feb 22, 2025
    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
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. 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 data for the China, Maine population pyramid, which represents the China town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for China, Maine, is 26.6.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for China, Maine, is 21.7.
    • Total dependency ratio for China, Maine is 48.3.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for China, Maine is 4.6.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group for the China town population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the China town for the selected age group is shown in the following column.
    • Population (Female): The female population in the China town for the selected age group is shown in the following column.
    • Total Population: The total population of the China town for the selected age group is shown in the following column.

    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 Age. You can refer the same here

  20. H

    Hong Kong SAR, China HK: Population in Largest City: as % of Urban...

    • ceicdata.com
    + more versions
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    CEICdata.com, Hong Kong SAR, China HK: Population in Largest City: as % of Urban Population [Dataset]. https://www.ceicdata.com/en/hong-kong/population-and-urbanization-statistics/hk-population-in-largest-city-as--of-urban-population
    Explore at:
    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, 2005 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Population
    Description

    Hong Kong HK: Population in Largest City: as % of Urban Population data was reported at 99.637 % in 2017. This records an increase from the previous number of 99.540 % for 2016. Hong Kong HK: Population in Largest City: as % of Urban Population data is updated yearly, averaging 99.382 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 100.000 % in 2010 and a record low of 94.548 % in 1974. Hong Kong HK: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong – Table HK.World Bank: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted average;

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Statista (2025). Population of major cities in China 2021 [Dataset]. https://www.statista.com/statistics/992683/china-population-in-first-and-second-tier-cities-by-city/
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Population of major cities in China 2021

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5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2021
Area covered
China
Description

In 2021, around **** million people were estimated to be living in the urban area of Shanghai. Shanghai was the largest city in China in 2021, followed by Beijing, with around **** million inhabitants. The rise of the new first-tier cities The past decades have seen widespread and rapid urbanization and demographic transition in China. While the four first-tier megacities, namely Beijing, Shanghai, Guangzhou, and Shenzhen, are still highly attractive to people and companies due to their strong ability to synergize the competitive economic and social resources, some lower-tier cities are already facing declining populations, especially those in the northeastern region. Below the original four first-tier cities, 15 quickly developing cities are sharing the cake of the moving population with improving business vitality and GDP growth potential. These new first-tier cities are either municipalities directly under the central government, such as Chongqing and Tianjin, or regional central cities and provincial capitals, like Chengdu and Wuhan, or open coastal cities in the economically developed eastern regions. From urbanization to metropolitanization As more and more Chinese people migrate to large cities for better opportunities and quality of life, the ongoing urbanization has further evolved into metropolitanization. Among those metropolitans, Shenzhen's population exceeded **** million in 2020, a nearly ** percent increase from a decade ago, compared to eight percent in the already densely populated Shanghai. However, with people rushing into the big-four cities, the cost of housing, and other living standards, are soaring. As of 2020, the average sales price for residential real estate in Shenzhen exceeded ****** yuan per square meter. As a result, the fast-growing and more cost-effective new first-tier cities would be more appealing in the coming years. Furthermore, Shanghai and Beijing have set plans to control the size of their population to ** and ** million, respectively, before 2035.

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