Facebook
TwitterThe 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.
Facebook
TwitterAccording 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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterIn 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.
Facebook
TwitterIn 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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 $69,375Surprisingly, 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.
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:
Employment type classifications include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for China median household income by race. You can refer the same here
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Forecast: Average Stay Days in Women and Children Care Agencies in China 2022 - 2026 Discover more data with ReportLinker!
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterAccording 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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
Twitterhttps://www.ycharts.com/termshttps://www.ycharts.com/terms
View monthly updates and historical trends for US Employed Persons: Asian Women in Nonagriculture Industries, at Work, Average Hours. from United States. …
Facebook
TwitterAs 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.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterThe 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.