In 2022, about **** million male students were enrolled in degree-granting postsecondary institutions as undergraduates. This is compared to **** million female undergraduate students who were enrolled in that same year. By 2031, these figures are projected to increase to **** million and *** 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.
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.
In 2021, around ** percent of total for-credit students enrolled in community colleges in the United States were female. Less than half of enrollees were males in that same year.
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.
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The main content of this dataset includes the gender ratio of overseas Chinese students graduating from college in various years.
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.
In Autumn 2024, among the students enrolled in the highest ranked university in the world, Oxford in the United Kingdom, 51 percent were female. See here for an overview of the highest-ranked universities in the world.
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This dataset provides information on the number of students enrolled in public colleges and universities in Qatar, categorized by college and gender. It includes various colleges such as Education, Arts and Sciences, Sharia and Islamic Studies, Engineering, Business and Economics, and Law. This dataset helps in analyzing the distribution of male and female students across different academic disciplines in public higher education institutions in Qatar.
This statistic shows the total number of students enrolled in postsecondary institutions in Canada in the academic year 2020/21, distinguished by gender and field of study. In 2020/21, around 150,000 women were enrolled in the field of Humanities in Canada.
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This dataset provides the number of students enrolled in private colleges and universities in Qatar, categorized by educational institution, nationality, and gender. The data includes institutions such as Education City Universities, Hamad Bin Khalifa University, and Lusail University. It allows for the analysis of student enrollment trends across different institutions, nationalities (Qatari and Non-Qatari), and genders. This dataset is useful for understanding the distribution of students in Qatar's higher education institutions, as well as the participation of male and female students within these institutions.
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The scope of this study was to evaluate whether the adoption of e-learning in two universities, and in particular, the relationship between the perception of external control and perceived ease of use, is different because of gender differences. The study was carried out with participating students in two different universities, one in Chile and one in Spain. The Technology Acceptance Model was used as a theoretical framework for the study. A multi-group analysis method in partial least squares was employed to relate differences between groups. The four main conclusions of the study are: (1) a version of the Technology Acceptance Model has been successfully used to explain the process of adoption of e-learning at an undergraduate level of study; (2) the finding of a strong and significant relationship between perception of external control and perception of ease of use of the e-learning platform; (3) a significant relationship between perceived enjoyment and perceived ease of use and between results demonstrability and perceived usefulness is found; (4) the study indicates a few statistically significant differences between males and females when adopting an e-learning platform, according to the tested model.
Massachusetts offers a variety of pathways and programs to ensure students graduate college and career ready. These include Career Technical Education (CTE) programs, Early College, and Innovation Pathways. For more information about these pathways and programs, visit the Office of College, Career, and Technical Education website.
This dataset contains student enrollment data for all public and charter schools and districts since 2022. It is a wide file with three groups of columns representing the following enrollment indicators:
After Dark Chapter 74 enrollment is a subset of Chapter 74 Program enrollment. Also, in 2022, some districts reported enrollment in additional Innovation Pathway sectors. This report includes only the five designated sectors.
This dataset contains the same data that is also published on our DESE Profiles site: Pathways/Programs Enrollment by Grade Pathways/Programs Enrollment by Race/Gender Pathways/Programs Enrollment by Selected Population
List of Pathways and Programs
Pathways
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The number of students and graduates from Hong Kong and Macao in Taiwan's universities and colleges by gender, institution, and place of residence overseas
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IntroductionThe under representation of women in STEM fields is a persistent issue worldwide. In China, although women have made significant progress in pursuing STEM degrees in recent years, they continue to face challenges in the workforce. Given the importance of the self-perceived employability (SPE) of female STEM students in China, the research questions are: How do curriculum experience, extracurricular experience, and faculty supportive activities affect the SPE of female STEM students in Chinese universities? To what extent does university stratification affect the relationship between college experience and female STEM students’ SPE?MethodsWe analyzed the 2018 data of the Chinese College Student Survey (CCSS) consisting of a sample of 59,066 students, and six focus group interviews.ResultsThe findings suggest that curriculum experience, extracurricular experience and faculty supportive activities have a positive impact on the SPE of female students, but the gender gap in SPE is still valid as reflected by the fact that women have lower SPE than men in each tier of universities and that men benefit more in terms of the increase in SPE from most types of college activities and support except academic ones.DiscussionThis study reveals that the different tiers of universities in China affect female students’ SPE in different ways, and provides valuable evidence for academic as well as university administrators and policymakers regarding how college experience affect women and how university stratification can affect female students’ college experience and their career expectations and paths.
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The average for 2022 based on 117 countries was 1.21 percent. The highest value was in Qatar: 1.79 percent and the lowest value was in Benin: 0.59 percent. The indicator is available from 1970 to 2023. Below is a chart for all countries where data are available.
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Data from the Ministry of Colleges and Universities' College Enrolment Statistical Reporting system. Provides aggregated key enrolment data for college students, such as: * Fall term headcount enrolment by campus, credential pursued and level of study * Fall term headcount enrolment by program and Classification of Instructional Program * Fall term headcount enrolment by student status in Canada and country of citizenship by institution * Fall term headcount enrolment by student demographics (e.g., gender, age, first language) To protect privacy, numbers are suppressed in categories with less than 10 students. ## Related * College enrolments - 1996 to 2011 * University enrolment * Enrolment by grade in secondary schools * School enrolment by gender * Second language course enrolment * Course enrolment in secondary schools * Enrolment by grade in elementary schools
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This dataset contains data on the number of students in schools and universities categorized by level of education (Pre-primary, Primary, etc.), type of education (Government, Private), and gender (Male, Female). The data provides insight into the enrollment trends across different education levels and types of schools in the region. This dataset is essential for analyzing gender and educational distribution within both government and private institutions.
Around 287,800 female students and 241,200 male students aged 19 years were enrolled in bachelor's, specialist's, and master's programs at Russian higher education institutions in the academic year 2023/24. Most people in Russia finished school at the age of 17 or 18 years. Women outnumbered male higher education students in age categories up to 22 years.
In 2022, about **** million male students were enrolled in degree-granting postsecondary institutions as undergraduates. This is compared to **** million female undergraduate students who were enrolled in that same year. By 2031, these figures are projected to increase to **** million and *** million respectively.