Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Virgin by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Virgin. The dataset can be utilized to understand the population distribution of Virgin by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Virgin. 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 Virgin.
Key observations
Largest age group (population): Male # 15-19 years (78) | Female # 15-19 years (34). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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 Virgin Population by Gender. You can refer the same here
According to a survey conducted in 2016, the average age for unmarried South Korean women aged between 27 and 29 years to lose their virginity was 21.3 years in 2016. Around 70 percent of these respondents reported having sexual intercourse in the last year.
Young and single
South Korean singles in their 20s do not want to get married for various reasons, the leading one being wanting to focus more on themselves. The proportion of youth who believe it is possible to live together before marriage has increased over the past years, supporting the trend of South Koreans moving away from traditional social values and roles. Women in particular have rejected the idea of marriage, largely due to gendered family roles which places an expectation on them to do a greater share of the housework and be largely responsible for childcare.
Another aspect that is potentially preventing young South Koreans from getting married is the high cost of weddings. Many see weddings as an unnecessary financial burden. Combined with less social pressure to marry, they are happy to remain unwed. Only half of South Korea’s single population in their 20s are planning on getting married in the future.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Virgin population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Virgin. The dataset can be utilized to understand the population distribution of Virgin by age. For example, using this dataset, we can identify the largest age group in Virgin.
Key observations
The largest age group in Virgin, UT was for the group of age 15 to 19 years years with a population of 112 (15.26%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Virgin, UT was the 20 to 24 years years with a population of 8 (1.09%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
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 Virgin Population by Age. You can refer the same here
In a survey conducted between 2013 and 2015, the average age for South Korean teenage girls in the third grade of high school to lose their virginity was 15.7 years (based on the South Korean age system in which a new-born baby is considered as one-year-old). According to the same survey, around five percent of females in this age bracket had ever had sexual intercourse.
Sexuality in South Korea
Many different factors have shaped the way sexuality is considered across the country. From traditional cultural norms generally accepted by the older generation, to the recent surge of liberalism and westernization – sexual education and sexual behavior have been highly debated topics among South Koreans and continue to be to this day.
Sexual education for teenagers in South Korea has become known for being problematic - not all teenage girls participated in sexual education programs as part of their schooling, and there has been some backlash on the quality of sexual education received by all students. Only half of sexually active teens stated that they always use contraception when having sex.
In 2019, South Korea decriminalized abortion – a move that was praised as moving towards a positive direction for women’s rights and health within the country. Decriminalizing pregnancy termination is particularly important for adolescents - around 80 percent of teenage girls who had been pregnant reported having an abortion.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Virgin population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Virgin. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 395 (53.81% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
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 Virgin Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Virgin, UT population pyramid, which represents the Virgin population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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 Virgin Population by Age. You can refer the same here
Lailvaux et al. Evolution performance agingThese data describe weight at eclosion, maximum bite force at measured age, maximum takeoff velocity at measured age, age of performance measurement, sex, mating status, diet treatment and lifespan for T. commodus
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The attached Excel file contains sheets with all the data needed to recreate the sexual mixing patterns presented in this article. The sheets show, in order: (1) female age mixing matrix, (2) male age mixing matrix, (3) female partnership formation rate percentiles with age if virgin, (4) female partnership formation rate percentiles with age without condom (no longer virgin), (5) male partnership formation rate percentiles with age if virgin, (6) male partnership formation rate percentiles with age without condom (no longer virgin, (7) MSM partnership formation rate percentiles with age, (8) MSM probability of female partner with age. (XLSX)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Virgin, UT population pyramid, which represents the Virgin population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
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 Virgin Population by Age. You can refer the same here
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
In species where advancing sire age is associated with decreased progeny fitness, female resistance to mating with old partners can be expected to evolve. In polyandrous species, such resistance may be contingent on female mating experience: virgins should be relatively indiscriminate to ensure egg fertility, whereas non-virgins can be expected to base their re-mating decisions on the age of their previous versus potential new partners, and 'trade up' if previously mated with old males. Here, we tested these predictions using a promiscuous and relatively long-living bulb mite (Rhizoglyphus robini), in which old sire age is associated with decreased fecundity of daughters. In a fully factorial design, we applied two male treatments: young and old, and three female treatments: virgin, previously mated to an old male and previously mated to a young male. Consistent with earlier studies, we observed a reduced mating success of old males. However, we found no support for attributing this result to female discrimination, as female behaviour in response to male mounting attempts was not affected by the age of the suitor, or by its interaction with the age of the female's previous mate. Interestingly, females were passive during 93% of male mounting attempts observed, suggesting that once they are located by a male, they exert little control over copulation. Old males had lower mate searching activity and were less efficient in obtaining matings (lower success rate per mounting attempt), suggesting a decreased mate securing ability due to aging. Overall, our results suggest that in bulb mites, male ability to secure mates declines with age, whereas they do not support the prediction that females actively discriminate against old partners.
The Virgin and Beaverdam Mountains form an arcuate range innorthwestern Mohave County, Arizona, which extends northeasterly fromthe Nevada State line and swings to a northerly trend near the Utahboundary. The range lies on the eastern edge of the Basin-and-Rangeprovince, adjacent to the Plateau province, and has a maximumtopographic relief of nearly 6,500 feet.Rocks ranging in age from Precambrian to Tertiary are exposed inthe Virgin and Beaverdam Mountains. Precambrian rocks consist of ametamorphic and igneous complex. The Paleozoic Era is represented bymarine carbonate rocks with subordinate, fine-grained clastic material.Mesozoic and Cenozoic rocks are for the most part clastic units ofcontinental origin.Structural elements that have played a major part in the developmentof the range include a large anticlinal fold and a zone of reverse faultingthat extends for nearly 20 miles along the eastern flank of the range. Thebasic pattern established by these structures has been modified by highanglefaults of large displacement which strike substantially parallel withthe line of reverse faulting, and by transverse faults of less displacement.In the northern part of the range low-angle thrust faulting is locallyprominent. 65 p.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Note: For information on data collection, confidentiality protection, nonsampling error, and definitions, see the 2020 Island Areas Censuses Technical Documentation..Due to COVID-19 restrictions impacting data collection for the 2020 Census of the U.S. Virgin Islands, data tables reporting social and economic characteristics do not include the group quarters population in the table universe. As a result, impacted 2020 data tables should not be compared to 2010 and other past census data tables reporting the same characteristics. The Census Bureau advises data users to verify table universes are the same before comparing data across census years. For more information about data collection limitations and the impacts on the U.S. Virgin Island's data products, see the 2020 Island Areas Censuses Technical Documentation..[1] "Other races" includes respondents who reported one race that is classified as American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, or Some Other Race..[2] "All Other Hispanic or Latino" includes people who reported Cuban, Spaniard, and other detailed Hispanic responses. It also includes people who reported "Hispanic" or "Latino" and other general terms..Explanation of Symbols: 1.An "-" means the statistic could not be computed because there were an insufficient number of observations. 2. An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.3. An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.4. An "N" means data are not displayed for the selected geographic area due to concerns with statistical reliability or an insufficient number of cases.5. An "(X)" means not applicable..Source: U.S. Census Bureau, 2020 Census, U.S. Virgin Islands.
This bar chart presents the opinion of French Millennials on what is the most difficult thing to live with for people of their generation in 2019. It shows that 22 percent of respondents thought that being a virgin was the most difficult thing to live with for individuals their age, whereas 10 percent declared that unemployment was the most difficult issue for Millennials in 2019.
This statistic depicts the results of a survey conducted in 2017 in Japan asking female university students about the main reasons for not having experienced sexual intercourse yet. During the surveyed period, the leading reason for sexual inexperience among female university students in Japan was the lack of a partner, while 8.6 percent of female respondents considered premarital sex wrong and therefore remained virgin.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the distribution of median household income among distinct age brackets of householders in Virgin. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Virgin. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.
Key observations: Insights from 2023
In terms of income distribution across age cohorts, in Virgin, the median household income stands at $103,021 for householders within the 45 to 64 years age group, followed by $69,375 for the 25 to 44 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $49,750.
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.
Age groups 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 Virgin median household income by age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Virgin: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
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 Virgin median household income by age. You can refer the same here
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Virgin by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Virgin. The dataset can be utilized to understand the population distribution of Virgin by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Virgin. 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 Virgin.
Key observations
Largest age group (population): Male # 15-19 years (78) | Female # 15-19 years (34). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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 Virgin Population by Gender. You can refer the same here