In 2022, about 6.57 million male students were enrolled in degree-granting postsecondary institutions as undergraduates. This is compared to 8.82 million female undergraduate students who were enrolled in that same year. By 2031, these figures are projected to increase to 7.12 million and 9.7 million respectively.
In an impressive increase from years past, 39 percent of women in the United States had completed four years or more of college in 2022. This figure is up from 3.8 percent of women in 1940. A significant increase can also be seen in males, with 36.2 percent of the U.S. male population having completed four years or more of college in 2022, up from 5.5 percent in 1940.
4- and 2-year colleges
In the United States, college students are able to choose between attending a 2-year postsecondary program and a 4-year postsecondary program. Generally, attending a 2-year program results in an Associate’s Degree, and 4-year programs result in a Bachelor’s Degree.
Many 2-year programs are designed so that attendees can transfer to a college or university offering a 4-year program upon completing their Associate’s. Completion of a 4-year program is the generally accepted standard for entry-level positions when looking for a job.
Earnings after college
Factors such as gender, degree achieved, and the level of postsecondary education can have an impact on employment and earnings later in life. Some Bachelor’s degrees continue to attract more male students than female, particularly in STEM fields, while liberal arts degrees such as education, languages and literatures, and communication tend to see higher female attendance.
All of these factors have an impact on earnings after college, and despite nearly the same rate of attendance within the American population between males and females, men with a Bachelor’s Degree continue to have higher weekly earnings on average than their female counterparts.
In 2021, around 1.2 million women were enrolled in postsecondary institutions in Canada. This is compared to about 931,220 men who were enrolled in postsecondary institutions in that same year.
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
Data from the Ministry of Colleges and Universities' College Enrolment Statistical Reporting system.
Provides aggregated key enrolment data for college students, such as:
To protect privacy, numbers are suppressed in categories with less than 10 students.
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 Rutherford College by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Rutherford College across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of female population, with 50.26% of total population being female. 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.
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
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 Rutherford College Population by Race & Ethnicity. You can refer the same here
In the academic year 2024, the enrollment rate in universities and junior colleges reached around 62.8 percent for male students and 61.7 percent for female students in Japan. The share of young women attending higher education institutions increased more than tenfold in the past 60 years. The overall direct enrollment rate after high school graduation was 62 percent.
This dataset contains the total annual unduplicated enrollment headcount and percentages by race and gender for undergraduate and graduate students at public community colleges and state universities in Massachusetts since 2014.
This dataset is 1 of 2 datasets that is also published in the interactive Annual Enrollment dashboard on the Department of Higher Education Data Center:
Public Postsecondary Annual Enrollment Public Postsecondary Annual Enrollment by Race and Gender
Related datasets: Public Postsecondary Fall Enrollment Public Postsecondary Fall Enrollment by Race and Gender
Notes: - Data appear as reported to the Massachusetts Department of Higher Education. - Annual enrollment refers to a 12 month enrollment period over one fiscal year (July 1 through June 30). - Figures published by DHE may differ slightly from figures published by other institutions and organizations due to differences in timing of publication, data definitions, and calculation logic. - Data for the University of Massachusetts are not included due to unique reporting requirements. See Fall Enrollment for HEIRS data on UMass enrollment. -The most common measure of enrollment is headcount of enrolled students. Annual headcount enrollment is unduplicated, meaning any individual student is only counted once per institution and fiscal year, even if they are enrolled in multiple terms. Enrollment can also be measured as full-time equivalent (FTE) students, a calculation based on the sum of credits carried by all enrolled students. In a fiscal year, 30 undergraduate credits = 1 undergraduate FTE, and 24 graduate credits = 1 graduate FTE at a state university.
This statistic shows the number of male and female African-American undergraduate students enrolled in degree-granting postsecondary institutions in the United States from 1976 to 2010. In 2010, there were 1,694,000 female African-American students enrolled in U.S. universities, as compared to 983,000 African-American males.
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 Rutherford College by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Rutherford College. The dataset can be utilized to understand the population distribution of Rutherford College by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Rutherford College. 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 Rutherford College.
Key observations
Largest age group (population): Male # 60-64 years (98) | Female # 30-34 years (70). 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 Rutherford College Population by Gender. 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 population of West College Corner by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of West College Corner across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of female population, with 55.85% of total population being female. 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.
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
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 West College Corner Population by Race & Ethnicity. You can refer the same here
This dataset contains the total first-year retention rates and counts (Fall to Fall) for new first-time, full-time, degree-seeking undergraduate students, disaggregated by gender. It covers all public community colleges and state universities in Massachusetts, and the University of Massachusetts since 2013.
This dataset is 1 of 3 datasets that is also published in the interactive Retention of First-Time, Full-Time Students dashboard on the Department of Higher Education Data Center:
Public Postsecondary First Year Retention: Summary Public Postsecondary First Year Retention by Race Public Postsecondary First Year Retention by Gender
Definitions: - Retention is characterized when a new first-time, full-time student who was enrolled in their first Fall semester is again enrolled in their second Fall semester. - Adjusted Cohort Count: the number of first-year students in a cohort, excluding those who graduated within the first year. - Retained Any Institution is determined by finding students enrolled in the next Fall at other MA Public Institutions using Massachusetts Department of Higher Education data or elsewhere using NSC data. - Cohort identification: These are the Fall Term Credit Students, identified with a cohort when their current registration = New; their New Student Type = Degree-seeking; and enrollment is full-time with >= 12 credits.
Notes: - To comply with data privacy laws, Bucketing is used as a form of data suppression. If a gender category has <= 6 students, then its data is combined with the next largest gender category and the gender is labeled as "Other." - Data appear as reported to the Massachusetts Department of Higher Education.
In 2021, there were around 1.99 million female Hispanic undergraduate students enrolled in U.S. universities, as compared to 1.32 million Hispanic male undergraduate students. This is a decrease from the previous year, when 2.03 million female students and 1.33 million male students were enrolled as undergraduates in U.S. universities. This decrease is likely due to the impact of the COVID-19 pandemic.
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 College Springs by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of College Springs across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of male population, with 56.68% of total population being male. 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.
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
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 College Springs Population by Race & Ethnicity. 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 population of College Place by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of College Place across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of female population, with 52.15% of total population being female. 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.
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
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 College Place Population by Race & Ethnicity. 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 population of College township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for College township. The dataset can be utilized to understand the population distribution of College township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in College township. 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 College township.
Key observations
Largest age group (population): Male # 15-19 years (700) | Female # 15-19 years (768). 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 College township Population by Gender. 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
Vietnam VN: Gender Parity Index (GPI): Tertiary School Enrollment: Gross data was reported at 1.237 Ratio in 2016. This records an increase from the previous number of 1.001 Ratio for 2015. Vietnam VN: Gender Parity Index (GPI): Tertiary School Enrollment: Gross data is updated yearly, averaging 0.769 Ratio from Dec 1976 (Median) to 2016, with 22 observations. The data reached an all-time high of 1.237 Ratio in 2016 and a record low of 0.313 Ratio in 1981. Vietnam VN: Gender Parity Index (GPI): Tertiary School Enrollment: Gross data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank: Education Statistics. Gender parity index for gross enrollment ratio in tertiary education is the ratio of women to men enrolled at tertiary level in public and private schools.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).
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 College Place by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for College Place. The dataset can be utilized to understand the population distribution of College Place by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in College Place. 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 College Place.
Key observations
Largest age group (population): Male # 20-24 years (702) | Female # 15-19 years (724). 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 College Place Population by Gender. You can refer the same here
Total undergraduate Fall enrollment headcount and percentages by race and gender at all public Massachusetts institutions of higher education since 2014.
This dataset is 1 of 2 datasets that is also published in the interactive Fall Enrollment dashboard on the Department of Higher Education Data Center:
Public Postsecondary Fall Enrollment Public Postsecondary Fall Enrollment by Race and Gender
Related datasets: Public Postsecondary Annual Enrollment Public Postsecondary Annual Enrollment by Race and Gender
Notes: - Data appear as reported to the Massachusetts Department of Higher Education. - Figures published here may vary from those of individual institutions due to differences in calculation methodologies.
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 University Heights by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for University Heights. The dataset can be utilized to understand the population distribution of University Heights by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in University Heights. 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 University Heights.
Key observations
Largest age group (population): Male # 15-19 years (921) | Female # 20-24 years (937). 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 University Heights Population by Gender. You can refer the same here
The proportion of male and female postsecondary enrolments, by International Standard Classification of Education (ISCED), institution type, Classification of Instructional Programs (CIP) 2021, STEM (science, technology, engineering and mathematics) and BHASE (business, humanities, health, arts, social science and education) groupings, status of student in Canada and age group.
In 2022, about 6.57 million male students were enrolled in degree-granting postsecondary institutions as undergraduates. This is compared to 8.82 million female undergraduate students who were enrolled in that same year. By 2031, these figures are projected to increase to 7.12 million and 9.7 million respectively.