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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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...

The main content of this dataset includes the gender ratio of overseas Chinese students graduating from college in various years.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 30-34 years (19) | Female # 0-4 years (24). 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 Corner population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the College Corner is shown in the following column.
• Population (Female): The female population in the College Corner 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 Corner 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 Corner Population by Gender. You can refer the same here

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.

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.

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.

Overseas Chinese students are enrolled in various colleges and universities all over Taiwan. This dataset contains the number and proportion of male and female overseas Chinese students enrolled each academic year.

The distribution of graduates by clusters of study driven by the relative popularity of programmes among students. The dataset shows disparities in graduation trends between male and female in various clusters.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 50-54 years (36) | Female # 25-29 years (35). 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 West College Corner population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the West College Corner is shown in the following column.
• Population (Female): The female population in the West College Corner 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 West College Corner 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 West College Corner Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 20-24 years (4,536) | Female # 20-24 years (4,751). 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 Park population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the College Park is shown in the following column.
• Population (Female): The female population in the College 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 College 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 College Park Population by Gender. You can refer the same here

In Finland the government produces high level up-to-date statistical data via open data service site called Vipunen - Education Statistics Finland. It a reporting portal administered jointly by the Ministry of Education and Culture and the Finnish National Agency for Education. Read more: https://vipunen.fi/en-gb.

This xlsx dataset is gathered from Vipunen. It includes chemistry university students gender distribution in terms of overall students, new students and completed degrees in bachelor, master's and doctoral levels from 2011 to 2022.

This dataset provides statistics on the number of new students enrolled on scholarships at universities and colleges within Qatar, categorized by educational institution and gender. It helps track local scholarship trends in higher education.

This dataset provides annual statistics on the number of teaching staff in public colleges and universities, categorized by country, university academic rank, and gender. It includes details on the distribution of male and female faculty members across different academic positions such as Professor, Associate Professor, and Assistant Professor. The dataset supports analysis of gender balance and academic staffing trends in higher education institutions.

This dataset provides first-year retention rates for undergraduate student cohorts at Qatar University. Retention rate refers to the percentage of students who return to continue their studies one year after initial enrollment. The data is disaggregated by gender (Male and Female), along with an overall rate per cohort.The dataset supports academic policy evaluation, gender-focused analysis, and strategic planning in higher education. It is a key indicator for assessing student persistence, institutional engagement, and effectiveness of student support systems.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 15-19 years (700) | Female # 30-34 years (795). 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 Park population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the College Park is shown in the following column.
• Population (Female): The female population in the College 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 College 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 College Park Population by Gender. You can refer the same here

The number of enrolments by institution type, registration status, program type, credential type, gender and Classification of Instructional Programs, Primary groupings (CIP_PG).

About this dataset

Context

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

Key observations

There is a slight majority of male population, with 51.41% 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 Station is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of College Station 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 Station Population by Race & Ethnicity. You can refer the same here

توفر هذه المجموعة من البيانات معلومات حول عدد الطلاب المسجلين في الكليات والجامعات العامة في قطر، مصنفة حسب الكلية والجنس. تشمل البيانات كليات مثل التربية، الآداب والعلوم، الشريعة والدراسات الإسلامية، الهندسة، الإدارة والاقتصاد، والقانون. تساعد هذه المجموعة في تحليل توزيع الطلاب الذكور والإناث عبر التخصصات الأكاديمية المختلفة في مؤسسات التعليم العالي العامة في قطر.

About this dataset

Context

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

Key observations

There is a majority of male population, with 53.83% 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 State College is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of State College 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 State College Population by Race & Ethnicity. You can refer the same here

Female Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in College Place, Washington by age, education, race, gender, work experience and more.