96 datasets found
  1. Female life expectancy in China 1960-2050

    • statista.com
    Updated Dec 15, 2024
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    Statista (2024). Female life expectancy in China 1960-2050 [Dataset]. https://www.statista.com/statistics/263761/life-expectancy-of-women-in-china/
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    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    The graph shows the life expectancy of women in China from 1960 to 2022 with forecasts until 2050. In 2022, the average life expectancy of women at birth in China was about 81.3 years.

  2. Average daily working hours of female professionals in China 2024

    • statista.com
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    Statista, Average daily working hours of female professionals in China 2024 [Dataset]. https://www.statista.com/statistics/1445381/china-average-daily-working-hours-of-female-professionals/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    China
    Description

    According to an annual survey about Chinese women's workplace conducted at the beginning of 2024, approximately ** percent of the surveyed female professionals said they worked on average ***** to **** hours per day. Only ** percent of the respondents worked up to ***** hours daily.

  3. Risk of Diabetes in Middle-aged and Older Chinese Women by Height...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Baqiyyah N. Conway; Xiao-Ou Shu; Xianglan Zhang; Yong-Bing Xiang; Hui Cai; Honglan Li; Gong Yang; Yu-Tang Gao; Wei Zheng (2023). Risk of Diabetes in Middle-aged and Older Chinese Women by Height Components, HR (95% CI). [Dataset]. http://doi.org/10.1371/journal.pone.0030625.t004
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Baqiyyah N. Conway; Xiao-Ou Shu; Xianglan Zhang; Yong-Bing Xiang; Hui Cai; Honglan Li; Gong Yang; Yu-Tang Gao; Wei Zheng
    License

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

    Description

    Descriptive statistics for height components by quintiles in women: Height (m): Quintile 1: mean = 1.50, range = 1.19–1.54, std = 0.03; Quintile 2: mean = 1.55, range = 1.54–1.57, std = 0.008; Quintile 3: mean = 1.58, range = 1.57–1.60, std = 0.008; Quintile 4: mean = 1.61, range = 1.60–1.63, std = 0.009; Quintile 5: mean = 1.66, range = 1.63–1.86, std = 0.02. Leg Length (cm): Quintile 1: mean = 68.3, range = 0.40–0.70, std = 1.86; Quintile 2: mean = 71.4, range = 70–72.3, std = 0.59; Quintile 3: mean = 73.4, range = 72.3–74.0, std = 0.54; Quintile 4: mean = 75.4, range = 74.05–76.5, std = 0.60; Quintile 5: mean = 78.9, range = 76.5–105.0, std = 2.18. Sitting height (cm): Quintile 1: mean = 80.3, range = 52.0–82.0, std = 2.13; Quintile 2: mean = 83.5, range = 82.1–84.0, std = 0.53; Quintile 3: mean = 85.0, range = 84.1–85.9, std = 0.30; Quintile 4: mean = 86.5, range = 86.0–87.0, std = 0.47; Quintile 5: mean = 89.2, range = 87.1–105.0, std = 1.48.*Expressed as per standard deviation change. Model 1: univariate analyses. Model 2 controlled for birth cohort, education, and income. Model 3 controlled for birth cohort, education, income, and BMI at baseline. Model 4 controlled for birth cohort, education, income, smoking before age 20, BMI at age 20, BMI at baseline, and participation in team sports during adolescence.

  4. Average weight of adult males and females in China 2015-2020

    • statista.com
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    Statista, Average weight of adult males and females in China 2015-2020 [Dataset]. https://www.statista.com/statistics/1202236/china-average-body-weight-of-adult-males-and-females/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2020, the average body weight of male adults in China figured at **** kilograms, up *** kilograms compared to 2015. Obesity and overweight conditions have seen a gradual increase across the country mainly related to an unhealthy diet and a less active urban lifestyle.

  5. Average body height of male and female adults in China 2015-2020

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Average body height of male and female adults in China 2015-2020 [Dataset]. https://www.statista.com/statistics/1202219/china-average-body-height-of-male-and-female-adults/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2020, the average height of males aged between 18 and 44 years in China figured at ***** centimeters, up *** centimeters compared to that in 2015. On the other side, obesity and overweight conditions have seen a gradual increase across the country mainly related to an unhealthy diet and a less active urban lifestyle.

  6. N

    China, TX annual median income by work experience and sex dataset: Aged 15+,...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
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    Neilsberg Research (2025). China, TX annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a50ace5c-f4ce-11ef-8577-3860777c1fe6/
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    json, csvAvailable download formats
    Dataset updated
    Feb 27, 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
    China, Texas
    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
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. 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 median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in China. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In China, the median income for all workers aged 15 years and older, regardless of work hours, was $58,750 for males and $30,313 for females.

    These income figures highlight a substantial gender-based income gap in China. Women, regardless of work hours, earn 52 cents for each dollar earned by men. This significant gender pay gap, approximately 48%, underscores concerning gender-based income inequality in the city of China.

    - Full-time workers, aged 15 years and older: In China, among full-time, year-round workers aged 15 years and older, males earned a median income of $62,188, while females earned $69,375

    Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.12 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    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.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    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 race. You can refer the same here

  7. C

    China Population: Female: Age 25 to 29

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). China Population: Female: Age 25 to 29 [Dataset]. https://www.ceicdata.com/en/china/population-sample-survey-by-age-and-sex/population-female-age-25-to-29
    Explore at:
    Dataset updated
    Oct 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, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Population
    Description

    China Population: Female: Age 25 to 29 data was reported at 39.756 Person th in 2023. This records a decrease from the previous number of 40.234 Person th for 2022. China Population: Female: Age 25 to 29 data is updated yearly, averaging 50.255 Person th from Dec 1982 (Median) to 2023, with 36 observations. The data reached an all-time high of 57,371.507 Person th in 2000 and a record low of 37.803 Person th in 2009. China Population: Female: Age 25 to 29 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.

  8. C

    China Female to male ratio, students at tertiary level education - data,...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Aug 2, 2018
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    Globalen LLC (2018). China Female to male ratio, students at tertiary level education - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/China/Female_to_male_ratio_students_tertiary_level_educa/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    Aug 2, 2018
    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, 1974 - Dec 31, 2023
    Area covered
    China
    Description

    China: Ratio of female to male students in tertiary level education: The latest value from 2023 is 1.14 percent, a decline from 1.15 percent in 2022. In comparison, the world average is 1.16 percent, based on data from 62 countries. Historically, the average for China from 1974 to 2023 is 0.91 percent. The minimum value, 0.33 percent, was reached in 1979 while the maximum of 1.2 percent was recorded in 2018.

  9. r

    Forecast: Average Stay Days in Women and Children Care Agencies in China...

    • reportlinker.com
    Updated Apr 4, 2024
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    The citation is currently not available for this dataset.
    Explore at:
    Dataset updated
    Apr 4, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    China
    Description

    Forecast: Average Stay Days in Women and Children Care Agencies in China 2022 - 2026 Discover more data with ReportLinker!

  10. F

    Employed full time: Median usual weekly real earnings: Wage and salary...

    • fred.stlouisfed.org
    json
    Updated Jul 22, 2025
    + more versions
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    (2025). Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: Asian: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254871300Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 22, 2025
    License

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

    Description

    Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: Asian: Women (LEU0254871300Q) from Q1 2000 to Q2 2025 about asian, full-time, females, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

  11. Risk of Diabetes in Middle-aged and Older Chinese Women and Men by the...

    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Baqiyyah N. Conway; Xiao-Ou Shu; Xianglan Zhang; Yong-Bing Xiang; Hui Cai; Honglan Li; Gong Yang; Yu-Tang Gao; Wei Zheng (2023). Risk of Diabetes in Middle-aged and Older Chinese Women and Men by the Leg–Length-to-Sitting-Height Ratio, HR (95% CI). [Dataset]. http://doi.org/10.1371/journal.pone.0030625.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Baqiyyah N. Conway; Xiao-Ou Shu; Xianglan Zhang; Yong-Bing Xiang; Hui Cai; Honglan Li; Gong Yang; Yu-Tang Gao; Wei Zheng
    License

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

    Description

    Descriptive statistics for the leg-length-to-sitting-height ratio by quintiles of the leg-length-to-sitting-height in women are as follows: Quintile 1: mean = 0.80, range = 0.43–0.82, std = 0.02; Quintile 2: mean = 0.84, range = 0.82–0.85, std = 0.008; Quintile 3: mean = 0.86, range = 0.85–0.88, std = 0.007; Quintile 4: mean = 0.89, range = 0.88–0.91, std = 0.009; Quintile 5: mean = 0.95, range = 0.91–2.02, std = 0.05. Descriptive statistics for the leg-length-to-sitting-height ratio by quintiles of the leg-length-to-sitting-height in men are as follows: Quintile 1: mean = 0.82, range = 0.43–0.84, std = 0.02; Quintile 2: mean = 0.85, range = 0.84–0.87, std = 0.007; Quintile 3: mean = 0.88, range = 0.87–0.89, std = 0.006; Quintile 4: mean = 0.90, range = 0.89–0.91, std = 0.008; Quintile 5: mean = 0.94, range = 0.91–1.46, std = 0.03.*Expressed as per standard deviation change.Model 1: univariate analyses. Model 2 controlled for birth cohort, education, and income. Model 3 controlled for birth cohort, education, income, and BMI at baseline. Model 4 controlled for birth cohort, education, income, smoking before age 20, BMI at age 20, BMI at baseline, and participation in team sports during adolescence.

  12. Average monthly income among respondents in China 2019-2025, by gender

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Average monthly income among respondents in China 2019-2025, by gender [Dataset]. https://www.statista.com/statistics/1116666/china-average-monthly-income-by-gender/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    According to an annual survey about Chinese women's workplace, the average monthly income of the female respondents in 2025 amounted to ***** yuan, about ** percent lower than the monthly salary of the male respondents. In the previous year, the average monthly income of female respondents was 8,958 yuan.

  13. C

    China Female unemployment - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 18, 2015
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    Globalen LLC (2015). China Female unemployment - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/China/Female_unemployment/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Jan 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, 1991 - Dec 31, 2024
    Area covered
    China
    Description

    China: Unemployment rate for females: The latest value from 2024 is 3.97 percent, a decline from 4.06 percent in 2023. In comparison, the world average is 8.08 percent, based on data from 176 countries. Historically, the average for China from 1991 to 2024 is 3.53 percent. The minimum value, 2.06 percent, was reached in 1991 while the maximum of 4.34 percent was recorded in 2020.

  14. C

    China CN: Participants’ Average Daily Time Use: Primary Activity Domain:...

    • ceicdata.com
    + more versions
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    CEICdata.com, China CN: Participants’ Average Daily Time Use: Primary Activity Domain: Female: Learning and Training [Dataset]. https://www.ceicdata.com/en/china/participants-average-daily-time-use-by-sex/cn-participants-average-daily-time-use-primary-activity-domain-female-learning-and-training
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2008 - Dec 1, 2024
    Area covered
    China
    Description

    China Participants’ Average Daily Time Use: Primary Activity Domain: Female: Learning and Training data was reported at 422.000 min in 2024. This records an increase from the previous number of 353.000 min for 2018. China Participants’ Average Daily Time Use: Primary Activity Domain: Female: Learning and Training data is updated yearly, averaging 422.000 min from Dec 2008 (Median) to 2024, with 3 observations. The data reached an all-time high of 460.000 min in 2008 and a record low of 353.000 min in 2018. China Participants’ Average Daily Time Use: Primary Activity Domain: Female: Learning and Training data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OT: Participants’ Average Daily Time Use: By Sex.

  15. C

    China CN: Participants’ Average Daily Time Use: Primary Activity Domain:...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Participants’ Average Daily Time Use: Primary Activity Domain: Female: Transportation [Dataset]. https://www.ceicdata.com/en/china/participants-average-daily-time-use-by-sex/cn-participants-average-daily-time-use-primary-activity-domain-female-transportation
    Explore at:
    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, 2018 - Dec 1, 2024
    Area covered
    China
    Description

    China Participants’ Average Daily Time Use: Primary Activity Domain: Female: Transportation data was reported at 60.000 min in 2024. This records a decrease from the previous number of 72.000 min for 2018. China Participants’ Average Daily Time Use: Primary Activity Domain: Female: Transportation data is updated yearly, averaging 66.000 min from Dec 2018 (Median) to 2024, with 2 observations. The data reached an all-time high of 72.000 min in 2018 and a record low of 60.000 min in 2024. China Participants’ Average Daily Time Use: Primary Activity Domain: Female: Transportation data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OT: Participants’ Average Daily Time Use: By Sex.

  16. C

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

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 3, 2017
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    Globalen LLC (2017). China Percent female population - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/China/percent_female_population/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Feb 3, 2017
    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: Female population, percent of total: The latest value from 2024 is 49.06 percent, an increase from 49.02 percent in 2023. In comparison, the world average is 49.99 percent, based on data from 196 countries. Historically, the average for China from 1960 to 2024 is 48.98 percent. The minimum value, 48.83 percent, was reached in 2011 while the maximum of 49.11 percent was recorded in 1983.

  17. y

    US Employed Persons: Asian Women in Nonagriculture Industries, at Work,...

    • ycharts.com
    html
    Updated Sep 5, 2025
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    Bureau of Labor Statistics (2025). US Employed Persons: Asian Women in Nonagriculture Industries, at Work, Average Hours [Dataset]. https://ycharts.com/indicators/us_employment_asian_women_in_nonagriculture_industries_at_work_average_hours_unadjusted
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    htmlAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    YCharts
    Authors
    Bureau of Labor Statistics
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 2000 - Aug 31, 2025
    Area covered
    United States
    Variables measured
    US Employed Persons: Asian Women in Nonagriculture Industries, at Work, Average Hours
    Description

    View monthly updates and historical trends for US Employed Persons: Asian Women in Nonagriculture Industries, at Work, Average Hours. from United States. …

  18. Average age of women at first marriage in China 1990-2017

    • statista.com
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    Statista, Average age of women at first marriage in China 1990-2017 [Dataset]. https://www.statista.com/statistics/1258035/china-women-average-age-at-first-marriage/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    As of 2017, women in China were on average **** years old when entering their first marriage, almost three years older than in 2010. Resulting from increasing participation in higher education and labor work, women in China tend to delay their marriage.

  19. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over: Asian: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254468600A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

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

    Description

    Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over: Asian: Women (LEU0254468600A) from 2000 to 2024 about asian, second quartile, full-time, females, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  20. C

    China CN: Participants’ Average Daily Time Use: Primary Activity Domain:...

    • ceicdata.com
    + more versions
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    CEICdata.com, China CN: Participants’ Average Daily Time Use: Primary Activity Domain: Female: Paid Labour [Dataset]. https://www.ceicdata.com/en/china/participants-average-daily-time-use-by-sex/cn-participants-average-daily-time-use-primary-activity-domain-female-paid-labour
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    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, 2008 - Dec 1, 2024
    Area covered
    China
    Description

    China Participants’ Average Daily Time Use: Primary Activity Domain: Female: Paid Labour data was reported at 355.000 min in 2024. This records an increase from the previous number of 263.000 min for 2008. China Participants’ Average Daily Time Use: Primary Activity Domain: Female: Paid Labour data is updated yearly, averaging 309.000 min from Dec 2008 (Median) to 2024, with 2 observations. The data reached an all-time high of 355.000 min in 2024 and a record low of 263.000 min in 2008. China Participants’ Average Daily Time Use: Primary Activity Domain: Female: Paid Labour data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OT: Participants’ Average Daily Time Use: By Sex.

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Statista (2024). Female life expectancy in China 1960-2050 [Dataset]. https://www.statista.com/statistics/263761/life-expectancy-of-women-in-china/
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Female life expectancy in China 1960-2050

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Dataset updated
Dec 15, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
China
Description

The graph shows the life expectancy of women in China from 1960 to 2022 with forecasts until 2050. In 2022, the average life expectancy of women at birth in China was about 81.3 years.

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