In an impressive increase from years past, 40.1 percent of women in the United States had completed four years or more of college in 2024. This figure is up from 3.8 percent of women in 1940. A significant increase can also be seen in males, with 37.1 percent of the U.S. male population having completed four years or more of college in 2024, 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 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 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.

About this dataset

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.

Content

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

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the College Place is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of College Place total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 College Place Population by Race & Ethnicity. You can refer the same here

This dataset presents student enrollment figures at Hamad Bin Khalifa University, categorized by college, nationality (Qatari, Non-Qatari), and gender. It includes male, female, and total enrollment counts per group, offering insights into demographic and academic trends across the university’s colleges.

About this dataset

Context

The dataset tabulates the population of College Springs by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for College Springs. The dataset can be utilized to understand the population distribution of College Springs by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in College Springs. 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 Springs.

Key observations

Largest age group (population): Male # 40-44 years (33) | Female # 60-64 years (20). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

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

• Age Group: This column displays the age group for the College Springs population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the College Springs is shown in the following column.
• Population (Female): The female population in the College Springs is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in College Springs for each age group.

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 College Springs Population by Gender. You can refer the same here

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.

Student Enrollment reports the number of enrolled students per year, per gender.

About this dataset

Context

The dataset tabulates the population of College Park by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of College Park across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 51.23% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the College Park is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of College Park total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 College Park Population by Race & Ethnicity. You can refer the same here

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.

This dataset provides data on the number of students enrolled in public colleges and universities in Qatar, categorized by nationality, country of origin, and gender. The dataset includes students from the Gulf Cooperation Council (G.C.C.) countries, such as Qatar, the United Arab Emirates, Bahrain, Kuwait, Saudi Arabia, and Oman, as well as students from other Arab countries, such as Iraq. This dataset helps in understanding the distribution of students from different countries and genders in Qatar’s higher education institutions.

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

College Completion Dataset

Graduation Rates, Race, Efficiency Measures and More

By Jonathan Ortiz [source]

About this dataset

This College Completion dataset provides an invaluable insight into the success and progress of college students in the United States. It contains graduation rates, race and other data to offer a comprehensive view of college completion in America. The data is sourced from two primary sources – the National Center for Education Statistics (NCES)’ Integrated Postsecondary Education System (IPEDS) and Voluntary System of Accountability’s Student Success and Progress rate.

At four-year institutions, the graduation figures come from IPEDS for first-time, full-time degree seeking students at the undergraduate level, who entered college six years earlier at four-year institutions or three years earlier at two-year institutions. Furthermore, colleges report how many students completed their program within 100 percent and 150 percent of normal time which corresponds with graduation within four years or six year respectively. Students reported as being of two or more races are included in totals but not shown separately

When analyzing race and ethnicity data NCES have classified student demographics since 2009 into seven categories; White non-Hispanic; Black non Hispanic; American Indian/ Alaskan native ; Asian/ Pacific Islander ; Unknown race or ethnicity ; Non resident with two new categorize Native Hawaiian or Other Pacific Islander combined with Asian plus students belonging to several races. Also worth noting is that different classifications for graduate data stemming from 2008 could be due to variations in time frame examined & groupings used by particular colleges – those who can’t be identified from National Student Clearinghouse records won’t be subjected to penalty by these locations .

When it comes down to efficiency measures parameters like “Awards per 100 Full Time Undergraduate Students which includes all undergraduate completions reported by a particular institution including associate degrees & certificates less than 4 year programme will assist us here while we also take into consideration measures like expenditure categories , Pell grant percentage , endowment values , average student aid amounts & full time faculty members contributing outstandingly towards instructional research / public service initiatives .

When trying to quantify outcomes back up Median Estimated SAT score metric helps us when it is derived either on 25th percentile basis / 75th percentile basis with all these factors further qualified by identifying required criteria meeting 90% threshold when incoming students are considered for relevance . Last but not least , Average Student Aid equalizes amount granted by institution dividing same over total sum received against what was allotted that particular year .

All this analysis gives an opportunity get a holistic overview about performance , potential deficits &

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For more datasets, click here.

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How to use the dataset

This dataset contains data on student success, graduation rates, race and gender demographics, an efficiency measure to compare colleges across states and more. It is a great source of information to help you better understand college completion and student success in the United States.

In this guide we’ll explain how to use the data so that you can find out the best colleges for students with certain characteristics or focus on your target completion rate. We’ll also provide some useful tips for getting the most out of this dataset when seeking guidance on which institutions offer the highest graduation rates or have a good reputation for success in terms of completing programs within normal timeframes.

Before getting into specifics about interpreting this dataset, it is important that you understand that each row represents information about a particular institution – such as its state affiliation, level (two-year vs four-year), control (public vs private), name and website. Each column contains various demographic information such as rate of awarding degrees compared to other institutions in its sector; race/ethnicity Makeup; full-time faculty percentage; median SAT score among first-time students; awards/grants comparison versus national average/state average - all applicable depending on institution location — and more!

When using this dataset, our suggestion is that you begin by forming a hypothesis or research question concerning student completion at a given school based upon observable characteristics like financ...

About this dataset

Context

The dataset tabulates the population of College Corner by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of College Corner across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 60.86% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the College Corner is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of College Corner total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 College Corner Population by Race & Ethnicity. You can refer the same here

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.

In 2021, there were approximately *** million male and **** million female students enrolled in 4-year postsecondary institutions across the United States. By 2031, these figures are projected to increase to **** million and **** million enrollments, respectively.

Examining international student demographics helps educational institutions better understand the diverse backgrounds and requirements of their global student community. This dataset provides insights into a variety of aspects including, gender, marital status, Visa type, origin of country, academic level, and much more.

For use case and analysis reference, please take a look at this notebook "https://www.kaggle.com/code/webdevbadger/international-student-demographics-analysis">International Student Demographics Analysis .

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16711385%2Fefde694297c2830c0058032eae820358%2Ftop-countries.png?generation=1704958145733418&alt=media" alt="">

Feature Descriptions

academic.csv

• year: The year. The format is YYYY/YY.
• students: The number of students.
• us_students: The number of non-international students.
• undergraduate: The number of undergraduate students.
• graduate: The number of graduate students.
• non_degree: The number of non-degree students.
• opt: The number of OPT students. OPT stands for Optional Practical Training.

academic_detail.csv

• year: The year. The format is YYYY/YY.
• academic_type: The academic type. One of ["Undergraduate", "Graduate", "Non-Degree", "OPT"],
• academic_level: The academic level. One of ["Associate's", "Bachelor's", "Master's", 'Doctoral', "Professional", "Graduate, Unspecified", "Non-Degree, Intensive English", "Non-Degree, Other", "OPT"].
• students: The number of students.

field_of_study.csv

• year: The year. The format is YYYY/YY.
• field_of_study: The field of the study.
• major: The major of the study.
• students: The number of students.

origin.csv

• year: The year. The format is YYYY/YY.
• origin_region: The region of origin, such as Asia, Europe, and North America.
• origin: The origin, such as Canada, China, and India.
• academic_type: The academic type. One of ["Undergraduate", "Graduate", "Non-Degree", "OPT"].
• students: The number of students.

source_of_fund.csv

• year: The year. The format is YYYY/YY.
• academic_type: The academic type. One of ["Undergraduate", "Graduate", "Non-Degree", "OPT"].
• source_type: The fund source type. One of ["International", "U.S.", "Other"].
• source_of_fund: The source of fund. One of [ "Personal and Family", "Foreign Government or University", "Foreign Private Sponsor", "International Organization", "Current Employment", "U.S. College or University", "U.S. Government", "U.S. Private Sponsor", "Other Sources"].
• students: The number of students.

status.csv

• year: The year. The format is YYYY/YY.
• female: The number of female students.
• male: The number of male students.
• single: The number of non-married students.
• married: The number of married students.
• full_time: The number of full-time students.
• part_time: The number of part-time students.
• visa_f: The number of students with F Visa.
• visa_j: The number of students with J Visa.
• visa_other: The number of students with other types of Visas.

Acknowledgement

OpenDoorsData.org

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.

About this dataset

Context

The dataset tabulates the population of University Park by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for University Park. The dataset can be utilized to understand the population distribution of University Park by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in University Park. 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 Park.

Key observations

Largest age group (population): Male # 55-59 years (139) | Female # 70-74 years (169). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

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

• Age Group: This column displays the age group for the University Park population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the University Park is shown in the following column.
• Population (Female): The female population in the University Park is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in University Park for each age group.

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 University Park Population by Gender. You can refer the same here

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.