100+ datasets found
  1. Sam's Club store count in China 2025, by city

    • statista.com
    Updated Jul 4, 2025
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    Statista (2025). Sam's Club store count in China 2025, by city [Dataset]. https://www.statista.com/statistics/1605508/sam-s-club-store-count-in-china-by-city/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    As of June 2025, Sam's Club owned 49 retail stores in China, six of which were located in Shanghai. Since 2018, the membership-only warehouse club has experienced significant success in China, and the number of its retail outlets has more than doubled.

  2. Z

    Counts of COVID-19 reported in CHINA: 2019-2021

    • data.niaid.nih.gov
    • catalog.midasnetwork.us
    • +2more
    Updated Jun 3, 2024
    + more versions
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    MIDAS Coordination Center (2024). Counts of COVID-19 reported in CHINA: 2019-2021 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11450594
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    Dataset updated
    Jun 3, 2024
    Dataset authored and provided by
    MIDAS Coordination Center
    License

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

    Area covered
    China
    Description

    Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.

  3. T

    China - Trademark Applications, Nonresident, By Count

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 17, 2017
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    TRADING ECONOMICS (2017). China - Trademark Applications, Nonresident, By Count [Dataset]. https://tradingeconomics.com/china/trademark-applications-nonresident-by-count-wb-data.html
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jun 17, 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

    Trademark applications, nonresident, by count in China was reported at 261982 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Trademark applications, nonresident, by count - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  4. T

    China - Trademark Applications, Resident, By Count

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). China - Trademark Applications, Resident, By Count [Dataset]. https://tradingeconomics.com/china/trademark-applications-resident-by-count-wb-data.html
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    json, csv, excel, xmlAvailable download formats
    Dataset updated
    May 28, 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

    Trademark applications, resident, by count in China was reported at 9192753 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Trademark applications, resident, by count - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  5. p

    Counts of Dengue reported in CHINA: 1979-2010

    • tycho.pitt.edu
    Updated Apr 1, 2018
    + more versions
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    Willem G Van Panhuis; Anne L Cross; Donald S Burke (2018). Counts of Dengue reported in CHINA: 1979-2010 [Dataset]. https://www.tycho.pitt.edu/dataset/CN.38362002
    Explore at:
    Dataset updated
    Apr 1, 2018
    Dataset provided by
    Project Tycho, University of Pittsburgh
    Authors
    Willem G Van Panhuis; Anne L Cross; Donald S Burke
    Time period covered
    1979 - 2010
    Area covered
    China
    Description

    Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

    Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

    Depending on the intended use of a dataset, we recommend a few data processing steps before analysis: - Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. - Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

  6. China CN: Motor Vehicle & Other Counting Device: No of Employee: Average

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Motor Vehicle & Other Counting Device: No of Employee: Average [Dataset]. https://www.ceicdata.com/en/china/special-instrument-motor-vehicle-and-other-counting-device/cn-motor-vehicle--other-counting-device-no-of-employee-average
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Feb 1, 2012 - Dec 1, 2013
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Motor Vehicle & Other Counting Device: Number of Employee: Average data was reported at 60.740 Person th in Dec 2013. This records an increase from the previous number of 57.924 Person th for Dec 2012. China Motor Vehicle & Other Counting Device: Number of Employee: Average data is updated monthly, averaging 41.300 Person th from Dec 2003 (Median) to Dec 2013, with 64 observations. The data reached an all-time high of 60.740 Person th in Dec 2013 and a record low of 14.333 Person th in Dec 2003. China Motor Vehicle & Other Counting Device: Number of Employee: Average data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIL: Special Instrument: Motor Vehicle and Other Counting Device.

  7. C

    China CN: Motor Vehicle & Other Counting Device: YoY: Account Receivable

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2020). China CN: Motor Vehicle & Other Counting Device: YoY: Account Receivable [Dataset]. https://www.ceicdata.com/en/china/special-instrument-motor-vehicle-and-other-counting-device/cn-motor-vehicle--other-counting-device-yoy-account-receivable
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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
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Motor Vehicle & Other Counting Device: YoY: Account Receivable data was reported at 6.711 % in Oct 2015. This records an increase from the previous number of 1.873 % for Sep 2015. China Motor Vehicle & Other Counting Device: YoY: Account Receivable data is updated monthly, averaging 11.100 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 70.260 % in Feb 2010 and a record low of -2.530 % in Feb 2009. China Motor Vehicle & Other Counting Device: YoY: Account Receivable data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIL: Special Instrument: Motor Vehicle and Other Counting Device.

  8. China CN: Motor Vehicle & Other Counting Device: YoY: Current Asset

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Motor Vehicle & Other Counting Device: YoY: Current Asset [Dataset]. https://www.ceicdata.com/en/china/special-instrument-motor-vehicle-and-other-counting-device/cn-motor-vehicle--other-counting-device-yoy-current-asset
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Motor Vehicle & Other Counting Device: YoY: Current Asset data was reported at -2.034 % in Oct 2015. This records an increase from the previous number of -2.851 % for Sep 2015. China Motor Vehicle & Other Counting Device: YoY: Current Asset data is updated monthly, averaging 11.850 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 36.040 % in Feb 2011 and a record low of -2.851 % in Sep 2015. China Motor Vehicle & Other Counting Device: YoY: Current Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIL: Special Instrument: Motor Vehicle and Other Counting Device.

  9. T

    China - Industrial Design Applications, Resident, By Count

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). China - Industrial Design Applications, Resident, By Count [Dataset]. https://tradingeconomics.com/china/industrial-design-applications-resident-by-count-wb-data.html
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    May 28, 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

    Industrial design applications, resident, by count in China was reported at 785857 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Industrial design applications, resident, by count - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  10. Number of the convenience stores in China 2015, by province number

    • statista.com
    Updated May 4, 2016
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    Statista (2016). Number of the convenience stores in China 2015, by province number [Dataset]. https://www.statista.com/statistics/704996/china-convenience-store-count-by-province/
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    Dataset updated
    May 4, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2015
    Area covered
    China
    Description

    This statistic shows the number of the convenience stores in China as of February 2015, by province number. In 2015, two provinces/municipalities in China, namely Guangdong and Shanghai, had more than ***** convenience stores each.

  11. Number of forest fires in China 2013-2023

    • statista.com
    Updated Nov 27, 2024
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    Statista (2024). Number of forest fires in China 2013-2023 [Dataset]. https://www.statista.com/statistics/300382/china-forest-fire-count/
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    This statistic depicts the number of forest fires in China from 2013 to 2023. In 2013, approximately 328 forest fires had happened in China.

  12. Number of births in China 2014-2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Number of births in China 2014-2024 [Dataset]. https://www.statista.com/statistics/250650/number-of-births-in-china/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, around **** million babies were born in China. The number of births has increased slightly from **** million in the previous year, but is much lower than the ***** million births recorded in 2016. Demographic development in China In 2022, the Chinese population decreased for the first time in decades, and population decline is expected to accelerate in the upcoming years. To curb the negative effects of an aging population, the Chinese government decided in 2013 to gradually relax the so called one-child-policy, which had been in effect since 1979. From 2016 onwards, parents in China were allowed to have two children in general. However, as the recent figures of births per year reveal, this policy change had only short-term effects on the general birth rate: the number of births slightly increased from 2014 onwards, but then started to fell again in 2018. In 2024, China was the second most populous country in the world, overtaken by India that year. China’s aging population The Chinese society is aging rapidly and facing a serious demographic shift towards older age groups. The median age of China’s population has increased massively from about ** years in 1970 to **** years in 2020 and is projected to rise continuously until 2080. In 2020, approximately **** percent of the Chinese were 60 years and older, a figure that is forecast to rise as high as ** percent by 2060. This shift in demographic development will increase social and elderly support expenditure of the society as a whole. One measure for this social imbalance is the old-age dependency ratio, measuring the relationship between economic dependent older age groups and the working-age population. The old-age dependency ratio in China is expected to soar to ** percent in 2060, implying that by then three working-age persons will have to support two elderly persons.

  13. Number of new patents in computing, calculating, counting in China 2020, by...

    • statista.com
    Updated Jun 23, 2023
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    Statista (2023). Number of new patents in computing, calculating, counting in China 2020, by applicant [Dataset]. https://www.statista.com/statistics/1107113/china-number-new-patents-granted-in-computing-calculating-counting-by-applicant/
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    Dataset updated
    Jun 23, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    China
    Description

    According to data issued by incoPat, the National Intellectual Property Administration in China granted 69,049 new invention patents in computing, calculating or counting (class G06) in 2020. The applicant receiving the highest number of patents in this class was Tencent with 1,597 patents granted.

  14. p

    Counts of Dengue without warning signs reported in CHINA: 1979-2009

    • tycho.pitt.edu
    Updated Apr 1, 2018
    + more versions
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    Willem G Van Panhuis; Anne L Cross; Donald S Burke (2018). Counts of Dengue without warning signs reported in CHINA: 1979-2009 [Dataset]. https://www.tycho.pitt.edu/dataset/CN.722862003
    Explore at:
    Dataset updated
    Apr 1, 2018
    Dataset provided by
    Project Tycho, University of Pittsburgh
    Authors
    Willem G Van Panhuis; Anne L Cross; Donald S Burke
    Time period covered
    1979 - 2009
    Area covered
    China
    Description

    Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

    Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

    Depending on the intended use of a dataset, we recommend a few data processing steps before analysis: - Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. - Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

  15. China CN: Motor Vehicle & Other Counting Device: YoY: Loss Amount: ytd

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2024). China CN: Motor Vehicle & Other Counting Device: YoY: Loss Amount: ytd [Dataset]. https://www.ceicdata.com/en/china/special-instrument-motor-vehicle-and-other-counting-device/cn-motor-vehicle--other-counting-device-yoy-loss-amount-ytd
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Motor Vehicle & Other Counting Device: YoY: Loss Amount: Year to Date data was reported at 52.914 % in Oct 2015. This records a decrease from the previous number of 67.369 % for Sep 2015. China Motor Vehicle & Other Counting Device: YoY: Loss Amount: Year to Date data is updated monthly, averaging 19.095 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 379.512 % in Oct 2012 and a record low of -87.840 % in Mar 2006. China Motor Vehicle & Other Counting Device: YoY: Loss Amount: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIL: Special Instrument: Motor Vehicle and Other Counting Device.

  16. Average size of households in China 1990-2023

    • statista.com
    Updated Nov 27, 2024
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    Statista (2024). Average size of households in China 1990-2023 [Dataset]. https://www.statista.com/statistics/278697/average-size-of-households-in-china/
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    This graph shows the average size of households in China from 1990 to 2023. That year, statistically about 2.8 people were living in an average Chinese household. Average household size in China A household is commonly defined as one person living alone or a group of people living together and sharing certain living accommodations. The average number of people living in one household in China dropped from 3.96 in 1990 to 2.87 in 2011. Since 2010, the figure was relatively stable and ranged between 2.87 and 3.17 people per household. The average Chinese household still counts as rather large in comparison to other industrial countries. In 2023, an average American household consisted of only 2.51 people. Comparable figures have already been reached in the bigger cities and coastal areas of China, but in the rural provinces the household size is still much larger. According to the National Bureau of Statistics of China, the household size in China was diametrically correlated to its income. Birth rates and household sizes The receding size of Chinese households may be linked to the controversial one-child policy introduced in 1979. The main aim of the policy was to control population growth. While the fertility rate in China had been very high until the 1970s, it fell considerably in the following decades and resided at only 1.7 children per woman in 2018, nearly the same as in the United States or in the United Kingdom. A partial ease in the one-child policy was introduced in 2013, due to which couples where at least one parent was an only child were allowed to have a second child. In October 2015, the law was changed into a two-child policy becoming effective in January 2016.

  17. f

    China Natural Resources Employee Count - 2022-12-31

    • financhle.com
    json
    Updated May 15, 2023
    + more versions
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    China Natural Resources (2023). China Natural Resources Employee Count - 2022-12-31 [Dataset]. https://financhle.com/company/CHNR/employees
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    jsonAvailable download formats
    Dataset updated
    May 15, 2023
    Dataset provided by
    U.S. Securities and Exchange Commission
    Authors
    China Natural Resources
    Variables measured
    Employee Count
    Description

    Official employee count for China Natural Resources as reported in SEC filings for the period ending 2022-12-31.

  18. N

    China, Maine households by income brackets: family, non-family, and total,...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Neilsberg Research (2025). China, Maine households by income brackets: family, non-family, and total, in 2023 inflation-adjusted dollars [Dataset]. https://www.neilsberg.com/research/datasets/6628fa54-f81d-11ef-a994-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 3, 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
    Income Level, All households, Family households, Non-Family households, Percent of All households, Percent of Family households, Percent of Non-Family households
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income brackets (mentioned above) following an initial analysis and categorization. The percentage of all, family and nonfamily households were collected by grouping data as applicable. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents a breakdown of households across various income brackets in China, Maine, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for China, Maine reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of China town households based on income levels.

    Key observations

    • For Family Households: In China town, the majority of family households, representing 28.56%, earn $100,000 to $124,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $15,000 to $19,999, representing a smaller but still significant segment of the community.
    • For Non-Family Households: In China town, the majority of non-family households, accounting for 17.81%, have income $200,000 or more, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $15,000 to $19,999, representing a smaller, yet notable, portion of non-family households in the community.
    Content

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

    Income Levels:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in China, Maine (As mentioned above).
    • All Households: Count of households for the specified income level
    • % All Households: Percentage of households at the specified income level relative to the total households in China, Maine
    • Family Households: Count of family households for the specified income level
    • % Family Households: Percentage of family households at the specified income level relative to the total family households in China, Maine
    • Non-Family Households: Count of non-family households for the specified income level
    • % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in China, Maine

    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 median household income. You can refer the same here

  19. T

    China Exports of revolution and production count, taximeters, odometers,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 13, 2023
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    TRADING ECONOMICS (2023). China Exports of revolution and production count, taximeters, odometers, pedometers to Aruba [Dataset]. https://tradingeconomics.com/china/exports/aruba/revolution-production-count-taximeters
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Sep 13, 2023
    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, 1990 - Dec 31, 2025
    Area covered
    China
    Description

    China Exports of revolution and production count, taximeters, odometers, pedometers to Aruba was US$1.05 Thousand during 2024, according to the United Nations COMTRADE database on international trade.

  20. China CN: Motor Vehicle & Other Counting Device: YoY: Product Inventory

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Motor Vehicle & Other Counting Device: YoY: Product Inventory [Dataset]. https://www.ceicdata.com/en/china/special-instrument-motor-vehicle-and-other-counting-device/cn-motor-vehicle--other-counting-device-yoy-product-inventory
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Motor Vehicle & Other Counting Device: YoY: Product Inventory data was reported at 4.834 % in Oct 2015. This records a decrease from the previous number of 6.682 % for Sep 2015. China Motor Vehicle & Other Counting Device: YoY: Product Inventory data is updated monthly, averaging 8.102 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 33.050 % in May 2008 and a record low of -12.660 % in May 2009. China Motor Vehicle & Other Counting Device: YoY: Product Inventory data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIL: Special Instrument: Motor Vehicle and Other Counting Device.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Statista (2025). Sam's Club store count in China 2025, by city [Dataset]. https://www.statista.com/statistics/1605508/sam-s-club-store-count-in-china-by-city/
Organization logo

Sam's Club store count in China 2025, by city

Explore at:
Dataset updated
Jul 4, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
China
Description

As of June 2025, Sam's Club owned 49 retail stores in China, six of which were located in Shanghai. Since 2018, the membership-only warehouse club has experienced significant success in China, and the number of its retail outlets has more than doubled.

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