88 datasets found
  1. N

    China, Maine Population Breakdown by Gender Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 19, 2024
    + more versions
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    Neilsberg Research (2024). China, Maine Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/d02c99d7-c980-11ee-9145-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 19, 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
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. 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 population of China town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of China town across both sexes and to determine which sex constitutes the majority.

    Key observations

    There is a slight majority of female population, with 50.47% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

    Variables / Data Columns

    • Gender: This column displays the Gender (Male / Female)
    • Population: The population of the gender in the China town is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of China town total population. 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 Race & Ethnicity. You can refer the same here

  2. T

    China Exports to United States

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 5, 2017
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    TRADING ECONOMICS (2017). China Exports to United States [Dataset]. https://tradingeconomics.com/china/exports/united-states
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jun 5, 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, 1990 - Dec 31, 2025
    Area covered
    China
    Description

    China Exports to United States was US$525.65 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Exports to United States - data, historical chart and statistics - was last updated on July of 2025.

  3. N

    China, TX Population Breakdown by Gender and Age Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 19, 2024
    + more versions
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    Neilsberg Research (2024). China, TX Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/8da912ae-c989-11ee-9145-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 19, 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
    Texas, China
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, 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, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. 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 population of China by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for China. The dataset can be utilized to understand the population distribution of China by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in China. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for China.

    Key observations

    Largest age group (population): Male # 15-19 years (53) | Female # 30-34 years (103). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the China population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the China is shown in the following column.
    • Population (Female): The female population in the China is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in China for each age group.

    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 Gender. You can refer the same here

  4. T

    United States Imports from China

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). United States Imports from China [Dataset]. https://tradingeconomics.com/united-states/imports/china
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    May 29, 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, 1990 - Dec 31, 2025
    Area covered
    United States
    Description

    United States Imports from China was US$462.62 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from China - data, historical chart and statistics - was last updated on July of 2025.

  5. N

    Chinese Restaurants

    • data.cityofnewyork.us
    • nycopendata.socrata.com
    • +1more
    application/rdfxml +5
    Updated Jul 12, 2025
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    Department of Health and Mental Hygiene (DOHMH) (2025). Chinese Restaurants [Dataset]. https://data.cityofnewyork.us/Health/Chinese-Restaurants/w3z6-mr9h
    Explore at:
    xml, json, csv, application/rssxml, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Jul 12, 2025
    Authors
    Department of Health and Mental Hygiene (DOHMH)
    Description

    This dataset provides restaurant inspections, violations, grades and adjudication information

  6. Number of Chinese students in the U.S. 2013/14-2023/24

    • statista.com
    • ai-chatbox.pro
    Updated Nov 27, 2024
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    Statista (2024). Number of Chinese students in the U.S. 2013/14-2023/24 [Dataset]. https://www.statista.com/statistics/372900/number-of-chinese-students-that-study-in-the-us/
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Colleges and universities in the United States are still a popular study destination for Chinese students, with around 277 thousand choosing to take courses there in the 2023/24 academic year. Although numbers were heavily affected by the coronavirus pandemic, China is still the leading source of international students in the U.S. education market, accounting for 24.6 percent of all incoming students. The education exodus Mathematics and computer science courses led the field in terms of what Chinese students were studying in the United States, followed by engineering and business & management programs. The vast majority of Chinese students were self-funded, wth the remainder receiving state-funding to complete their overseas studies. Tuition fees can run into the tens of thousands of U.S. dollars, as foreign students usually pay out-of-state tuition fees. What about the local situation? Although studying abroad attracts many Chinese students, the country itself boasts the largest state-run education system in the world. With modernization of the national tertiary education system being a top priority for the Chinese government, the country has seen a significant increase in the number of local universities over the last decade. Enrolments in these universities exceeded 37 million in 2023, and a record of more than ten million students graduated in the same year, indicating that China's education market is still expanding.

  7. Countries with the largest number of overseas Chinese 2023

    • statista.com
    Updated Oct 14, 2024
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    Statista (2024). Countries with the largest number of overseas Chinese 2023 [Dataset]. https://www.statista.com/statistics/279530/countries-with-the-largest-number-of-overseas-chinese/
    Explore at:
    Dataset updated
    Oct 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    Among countries with the highest number of overseas Chinese on each continent, the largest Chinese diaspora community is living in Indonesia, numbering more than ten million people. Most of these people are descendants from migrants born in China, who have moved to Indonesia a long time ago. On the contrary, a large part of overseas Chinese living in Canada and Australia have arrived in these countries only during the last two decades. China as an emigration country Many Chinese people have emigrated from their home country in search of better living conditions and educational chances. The increasing number of Chinese emigrants has benefited from loosened migration policies. On the one hand, the attitude of the Chinese government towards emigration has changed significantly. Overseas Chinese are considered to be strong supporters for the overall strength of Chinese culture and international influence. On the other hand, migration policies in the United States and Canada are changing with time, expanding migration opportunities for non-European immigrants. As a result, China has become one of the world’s largest emigration countries as well as the country with the highest outflows of high net worth individuals. However, the mass emigration is causing a severe loss of homegrown talents and assets. The problem of talent and wealth outflow has raised pressing questions to the Chinese government, and a solution to this issue is yet to be determined. Popular destinations among Chinese emigrants Over the last decades, English speaking developed countries have been popular destinations for Chinese emigrants. In 2022 alone, the number of people from China naturalized as U.S. citizens had amounted to over 27,000 people, while nearly 68,000 had obtained legal permanent resident status as “green card” recipients. Among other popular immigration destinations for Chinese riches are Canada, Australia, Europe, and Singapore.

  8. F

    U.S. Imports of Goods by Customs Basis from China

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). U.S. Imports of Goods by Customs Basis from China [Dataset]. https://fred.stlouisfed.org/series/IMPCH
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States, China
    Description

    Graph and download economic data for U.S. Imports of Goods by Customs Basis from China (IMPCH) from Jan 1985 to May 2025 about imports, China, goods, and USA.

  9. PIIE dataset for PIIE PB 24-14, The rise of US economic sanctions on China:...

    • piie.com
    Updated Dec 4, 2024
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    Martin Chorzempa; Mary E. Lovely; Yuting (Christine) Wan (2024). PIIE dataset for PIIE PB 24-14, The rise of US economic sanctions on China: Analysis of a new PIIE dataset by Martin Chorzempa, Mary E. Lovely, and Christine Wan (2024). [Dataset]. https://www.piie.com/publications/policy-briefs/2024/rise-us-economic-sanctions-china-analysis-new-piie-dataset
    Explore at:
    Dataset updated
    Dec 4, 2024
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Martin Chorzempa; Mary E. Lovely; Yuting (Christine) Wan
    Area covered
    China
    Description

    This data package includes the PIIE dataset to replicate the data and charts presented in The rise of US economic sanctions on China: Analysis of a new PIIE dataset by Martin Chorzempa, Mary E. Lovely, and Christine Wan, PIIE Policy Brief 24-14.

    If you use the dataset, please cite as: Chorzempa, Martin, Mary E. Lovely, and Christine Wan. 2024. The rise of US economic sanctions on China: Analysis of a new PIIE dataset, PIIE Policy Brief 24-14. Washington, DC: Peterson Institute for International Economics.

  10. T

    Chinese Yuan Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jan 4, 2017
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    TRADING ECONOMICS (2017). Chinese Yuan Data [Dataset]. https://tradingeconomics.com/china/currency
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jan 4, 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 2, 1981 - Jul 14, 2025
    Area covered
    China
    Description

    The USD/CNY exchange rate fell to 7.1702 on July 14, 2025, down 0.03% from the previous session. Over the past month, the Chinese Yuan has strengthened 0.17%, and is up by 1.42% over the last 12 months. Chinese Yuan - values, historical data, forecasts and news - updated on July of 2025.

  11. N

    China, TX annual income distribution by work experience and gender dataset...

    • neilsberg.com
    csv, json
    Updated Jan 9, 2024
    + more versions
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    Neilsberg Research (2024). China, TX annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021) [Dataset]. https://www.neilsberg.com/research/datasets/2382a89c-981b-11ee-99cf-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 9, 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
    Texas, China
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. 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 the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within China. The dataset can be utilized to gain insights into gender-based income distribution within the China population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within China, among individuals aged 15 years and older with income, there were 360 men and 414 women in the workforce. Among them, 172 men were engaged in full-time, year-round employment, while 158 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, none fell within the income range of under $24,999, while 3.80% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 15.70% of men in full-time roles earned incomes exceeding $100,000, while none of women in full-time positions earned within this income bracket.
    • Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

    https://i.neilsberg.com/ch/china-tx-income-distribution-by-gender-and-employment-type.jpeg" alt="China, TX gender and employment-based income distribution analysis (Ages 15+)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Income brackets:

    • $1 to $2,499 or loss
    • $2,500 to $4,999
    • $5,000 to $7,499
    • $7,500 to $9,999
    • $10,000 to $12,499
    • $12,500 to $14,999
    • $15,000 to $17,499
    • $17,500 to $19,999
    • $20,000 to $22,499
    • $22,500 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 $54,999
    • $55,000 to $64,999
    • $65,000 to $74,999
    • $75,000 to $99,999
    • $100,000 or more

    Variables / Data Columns

    • Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
    • Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
    • Part-Time Males: The count of males employed part-time and earning within a specified income bracket
    • Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
    • Part-Time Females: The count of females employed part-time and earning within a specified income bracket

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    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 median household income by gender. You can refer the same here

  12. China Total Exports to USA

    • ceicdata.com
    Updated Aug 1, 2021
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    CEICdata.com (2021). China Total Exports to USA [Dataset]. https://www.ceicdata.com/en/indicator/china/total-exports-to-usa
    Explore at:
    Dataset updated
    Aug 1, 2021
    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
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    China
    Description

    Key information about China Total Exports to USA

    • China Total Exports to USA recorded 48.830 USD bn in Dec 2024, compared with 47.309 USD bn in the previous Nov 2024
    • China Total Exports to USA data is updated monthly, available from Jan 1981 to Dec 2024, with an averaged value of 6.676 USD bn
    • The data reached an all-time high of 57.397 USD bn in Sep 2021 and a record low of 78.416 USD mn in Feb 1981

    CEIC extends history for monthly Total Exports to USA. The General Administration of Customs provides Total Exports to USA, FOB, in USD. Total Exports to USA prior to January 1993 is sourced from the International Monetary Fund.

  13. M

    China Net Migration (1960-2024)

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). China Net Migration (1960-2024) [Dataset]. https://www.macrotrends.net/global-metrics/countries/chn/china/net-migration
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    China
    Description
    China net migration for 2024 was -318,992.00, a 43.81% decline from 2023.
    <ul style='margin-top:20px;'>
    
    <li>China net migration for 2023 was <strong>-567,724.00</strong>, a <strong>93.2% increase</strong> from 2022.</li>
    <li>China net migration for 2022 was <strong>-293,846.00</strong>, a <strong>22.62% decline</strong> from 2021.</li>
    <li>China net migration for 2021 was <strong>-379,749.00</strong>, a <strong>314.68% increase</strong> from 2020.</li>
    </ul>Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.
    
  14. h

    chinese_conversation_and_spam

    • huggingface.co
    Updated Nov 13, 2024
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    Paul Liu (2024). chinese_conversation_and_spam [Dataset]. https://huggingface.co/datasets/paulkm/chinese_conversation_and_spam
    Explore at:
    Dataset updated
    Nov 13, 2024
    Authors
    Paul Liu
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Caution! This dataset contains explicit language and fraud information. Use at your own risk!

    For AutoTrain use: please select Text Classification (Binary) as Task.

      What is included
    

    conversations in chinese under tag 0 spam conversations under tag1

      Where does the data come from
    

    part of the data came from conversations in Chinese Telegram groups part of them are from logging channels of anti-spam bots

      How many data is included
    

    A total of 9.9k… See the full description on the dataset page: https://huggingface.co/datasets/paulkm/chinese_conversation_and_spam.

  15. F

    Chinese Yuan Renminbi to U.S. Dollar Spot Exchange Rate

    • fred.stlouisfed.org
    json
    Updated Jul 7, 2025
    + more versions
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    (2025). Chinese Yuan Renminbi to U.S. Dollar Spot Exchange Rate [Dataset]. https://fred.stlouisfed.org/series/EXCHUS
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    jsonAvailable download formats
    Dataset updated
    Jul 7, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Chinese Yuan Renminbi to U.S. Dollar Spot Exchange Rate (EXCHUS) from Jan 1981 to Jun 2025 about China, exchange rate, currency, rate, and USA.

  16. h

    Chinese-short-sentences

    • huggingface.co
    Updated May 9, 2025
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    AIxBlock (2025). Chinese-short-sentences [Dataset]. https://huggingface.co/datasets/AIxBlock/Chinese-short-sentences
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    Dataset updated
    May 9, 2025
    Authors
    AIxBlock
    License

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

    Description

    This dataset is provided by AIxBlock, an unified platform for AI development and AI workflows automation. This dataset contains ~500k sentences in Chinese, making it a valuable resource for a wide range of language technology applications. All data has undergone quality assurance (QA) checks to ensure clarity, correctness, and natural phrasing. The dataset is well-suited for: Speech data generation (e.g., recording short audio clips lasting 8–30 seconds per sentence) Natural Language… See the full description on the dataset page: https://huggingface.co/datasets/AIxBlock/Chinese-short-sentences.

  17. S

    Chinese Human Connectome Project

    • scidb.cn
    Updated Dec 3, 2022
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    Guoyuan Yang; Jianqiao Ge; Jia-Hong Gao (2022). Chinese Human Connectome Project [Dataset]. http://doi.org/10.11922/sciencedb.01374
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 3, 2022
    Dataset provided by
    Science Data Bank
    Authors
    Guoyuan Yang; Jianqiao Ge; Jia-Hong Gao
    Description

    CHCP Overview:The human behavior and brain are shaped by genetic, environmental and cultural interactions. Recent advances in neuroimaging integrate multimodal imaging data from a large population and start to explore the large-scale structural and functional connectomic architectures of the human brain. One of the major pioneers is the Human Connectome Project (HCP) that developed sophisticated imaging protocols and has built a collection of high-quality multimodal neuroimaging, behavioral and genetic data from US population. A large-scale neuroimaging project parallel to the HCP, but with a focus on the East Asian population, will allow comparisons of brain-behavior associations across different ethnicities and cultures. The Chinese Human Connectome Project (CHCP) is launched in 2017 and led by Professor Jia-Hong GAO at Peking University, Beijing, China. CHCP aims to provide large sets of multimodal neuroimaging, behavioral and genetic data on the Chinese population that are comparable to the data of the HCP. The CHCP protocols were almost identical to those of the HCP, including the procedure for 3T MRI scanning, the data acquisition parameters, and the task paradigms for functional brain imaging. The CHCP also collected behavioral and genetic data that were compatible with the HCP dataset. The first public release of the CHCP dataset is in 2022. CHCP dataset includes high-resolution structural MR images (T1W and T2W), resting-state fMRI (rfMRI), task fMRI (tfMRI), and high angular resolution diffusion MR images (dMRI) of the human brain as well as behavioral data based on Chinese population. The unprocessed "raw" images of CHCP dataset (about 1.85 TB) have been released on the platform and can be downloaded. Considering our current cloud-storage service, sharing full preprocessed images (up to 70 TB) requires further construction. We will be actively cooperating with researchers who contact us for academic request, offering case-by-case solution to access the preprocessed data in a timely manner, such as by mailing hard disks or a third-party trusted cloud-storage service. V2 Release (Date: January 16, 2023):Here, we released the seven major domains task fMRI EVs files, including: 1) visual, motion, somatosensory, and motor systems; 2) category specific representations; 3) working memory/cognitive control systems; 4) language processing (semantic and phonological processing); 5) social cognition (Theory of Mind); 6) relational processing; and 7) emotion processing.V3 Release (Date: January 12, 2024):This version of data release primarily discloses the CHCP raw MRI dataset that underwent “HCP minimal preprocessing pipeline”, located in CHCP_ScienceDB_preproc folder (about 6.90 TB). In this folder, preprocessed MRI data includes T1W, T2W, rfMRI, tfMRI, and dMRI modalities for all young adulthood participants, as well as partial results for middle-aged and older adulthood participants in the CHCP dataset. Following the data sharing strategy of the HCP, we have eliminated some redundant preprocessed data, resulting in a final total size of the preprocessed CHCP dataset is about 6.90 TB in zip files. V4 Release (Date: December 4, 2024):In this update, we have fixed the issue with the corrupted compressed file of preprocessed data for subject 3011, and removed the incorrect preprocessed results for subject 3090. Additionally, we have updated the subject file information list. Additionally, this release includes the update of unprocessed "raw" images of the CHCP dataset in CHCP_ScienceDB_unpreproc folder (about 1.85 TB), addressing the previously insufficient anonymization of T1W and T2W modalities data for some older adulthood participants in versions V1 and V2. For more detailed information, please refer to the data descriptions in versions V1 and V2.CHCP Summary:Subjects:366 healthy adults (Chinese Han)Imaging Scanner:3T MR (Siemens Prisma)Institution:Peking University, Beijing, ChinaFunding Agencies:Beijing Municipal Science & Technology CommissionChinese Institute for Brain Research (Beijing)National Natural Science Foundation of ChinaMinistry of Science and Technology of China CHCP Citations:Papers, book chapters, books, posters, oral presentations, and all other printed and digital presentations of results derived from CHCP data should contain the following wording in the acknowledgments section: "Data were provided [in part] by the Chinese Human Connectome Project (CHCP, PI: Jia-Hong Gao) funded by the Beijing Municipal Science & Technology Commission, Chinese Institute for Brain Research (Beijing), National Natural Science Foundation of China, and the Ministry of Science and Technology of China."

  18. Number of visitors to the U.S. from China 2005-2029

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Number of visitors to the U.S. from China 2005-2029 [Dataset]. https://www.statista.com/statistics/214813/number-of-visitors-to-the-us-from-china/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States, China
    Description

     In 2024, approximately *** million visitors from China arrived in the United States, representing a significant increase from the previous year. Before the outbreak of the coronavirus pandemic, around **** million arrivals were recorded for the year 2019. Tourism in the United States In 2024, the United States had more than ** million international visitors, where the majority of visitors to the United States came from the North American countries Canada and Mexico, with China being the fourth biggest source of Asian tourists, after India, Japan, and South Korea. However, in terms of travel spending in the United States, in 2023, Chinese tourists were estimated to have spent more than any other Asian country, explaining the increasingly important role played by Chinese tourists among other international tourists. Outbound tourism from China In the past decade, the number of outbound Chinese tourists has soared threefold, with the vast majority of trips being made for private purpose. The United States was one of the popular international travel destinations among Chinese a few years back, despite Thailand, Japan, and Vietnam still being very popular potentially due to the shorter distance to travel. Chinese tourists also became more willing to spend when they travel. The share of outbound tourism expenditure in China’s GDP exceeded *** percent for several years before the coronavirus pandemic.

  19. T

    China Imports from United States

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 13, 2017
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    TRADING ECONOMICS (2017). China Imports from United States [Dataset]. https://tradingeconomics.com/china/imports/united-states
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jun 13, 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, 1990 - Dec 31, 2025
    Area covered
    China
    Description

    China Imports from United States was US$164.59 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Imports from United States - data, historical chart and statistics - was last updated on July of 2025.

  20. F

    U.S. Granted Patents: Total Patents Originating in China

    • fred.stlouisfed.org
    json
    Updated May 21, 2021
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    (2021). U.S. Granted Patents: Total Patents Originating in China [Dataset]. https://fred.stlouisfed.org/series/PATENT4NCNTOTAL
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    jsonAvailable download formats
    Dataset updated
    May 21, 2021
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    China
    Description

    Graph and download economic data for U.S. Granted Patents: Total Patents Originating in China (PATENT4NCNTOTAL) from 1992 to 2020 about patent granted, intellectual property, origination, patents, foreign, China, and USA.

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Neilsberg Research (2024). China, Maine Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/d02c99d7-c980-11ee-9145-3860777c1fe6/

China, Maine Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2024 Edition

Explore at:
csv, jsonAvailable download formats
Dataset updated
Feb 19, 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
Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
Measurement technique
The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. 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 population of China town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of China town across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.47% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

  • Gender: This column displays the Gender (Male / Female)
  • Population: The population of the gender in the China town is shown in this column.
  • % of Total Population: This column displays the percentage distribution of each gender as a proportion of China town total population. 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 Race & Ethnicity. You can refer the same here

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