In 2022, there were approximately 107,700 students with American Indian or Alaskan Native heritage enrolled at a university in the United States. This is a slight increase from the previous year, when there were 106,600 students with American Indian or Alaska Native heritage enrolled in postsecondary education.

In 2029, the projected number of White high school students enrolled in four-year colleges in the United States was around 1,913,800, a decrease when compared to 2,266,000 in 2019. For Hispanic high school students, however, the projected number of those enrolled in college in 2029 was approximately 620,000, an increase from 607,400 in 2019.

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, about 20.6 percent of postsecondary students in the United States were Hispanic. This is a slight increase from 20.3 percent in the previous year. In that same year, White students made up more than half of postsecondary students, at 53.4 percent.

About this dataset

Context

The dataset tabulates the population of College Park by race. It includes the population of College Park across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of College Park across relevant racial categories.

Key observations

The percent distribution of College Park population by race (across all racial categories recognized by the U.S. Census Bureau): 9.32% are white, 82.45% are Black or African American, 2.36% are Asian, 2.43% are some other race and 3.44% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the College Park
• Population: The population of the racial category (excluding ethnicity) in the College Park is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race 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

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.

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:

• Number of students in CTE programs, Early College, and Innovation Pathways by grade, including grades 9-12 and special education beyond grade 12 (SP)
• Percent of students in CTE programs, Early College, and Innovation Pathways by race and gender
• Number and percent of students in CTE programs, Early College, and Innovation Pathways in student groups: First Language Not English, English Learners, Students with Disabilities, High Needs, Low Income, and Economically Disadvantaged

Economically Disadvantaged was used 2015-2021. Low Income was used prior to 2015, and a different version of Low Income has been used since 2022. Please see the DESE Researcher's Guide for more information.

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

• After Dark
• Career Connections (Non-Chapter 74 Programs)
• Career Technical Education (Chapter 74 Programs)
• Early College
• Innovation Career Pathways

After Dark

• Advanced Manufacturing Technology
• Automotive Collision Repair & Refinishing
• Automotive Technology
• Carpentry
• Construction Craft Laborer
• Cosmetology
• Design & Visual Communications
• Electricity
• Exploratory
• Health Assisting
• Heating - Ventilation - Air Conditioning - Refrigeration
• Horticulture
• Information Support Services & Networking
• Metal Fabrication & Joining Technologies
• Plumbing

Career Connections (Non-Chapter 74 Programs)

• Airplane Mechanics and Aircraft Maintenance Technology/Technician
• Automotive Collision Repair & Refinishing
• Automotive Technology
• Biotechnology
• Building/Property Maintenance
• Business Technology
• Cabinetmaking
• Carpentry
• Construction Craft Laborer
• Criminal Justice
• Culinary Arts
• Design & Visual Communications
• Drafting
• Early Education and Care
• Engineering Technology
• Environmental Science & Technology
• Exploratory
• Family & Consumer Studies (formerly vocational home economics)
• Fashion Technology
• Graphic Communications
• Health Assisting
• Heating - Ventilation - Air Conditioning - Refrigeration
• Hospitality Management
• Information Support Services & Networking
• Marketing/Finance
• Medical Assisting
• Programming & Web Development
• Radio & Television Broadcasting
• Robotics and Automation Technology

Career Technical Education (Chapter 74 Programs)

• Advanced Manufacturing Technology
• Agricultural Mechanics
• Animal Science
• Automotive Collision Repair & Refinishing
• Automotive Technology
• Aviation Maintenance Technology
• Biotechnology
• Building/Property Maintenance
• Business Technology
• Cabinetmaking
• Carpentry
• Construction Craft Laborer
• Cosmetology
• Criminal Justice
• Culinary Arts
• Dental Assisting
• Design & Visual Communications
• Diesel Technology
• Drafting
• Early Education and Care
• Electricity
• Electronics
• Engineering Technology
• Environmental Science & Technology
• Exploratory
• Fashion Technology
• Graphic Communications
• Health Assisting
• Heating - Ventilation - Air Conditioning - Refrigeration
• Horticulture
• Hospitality Management
• Information Support Services & Networking
• Marine Service Technology
• Marketing
• Masonry & Tile Setting
• Medical Assisting
• Metal Fabrication & Joining Technologies
• Painting & Design Technologies
• Plumbing
• Programming & Web Development
• Radio & Television Broadcasting
• Robotics and Automation Technology
• Sheet Metalworking
• Stationary Engineering

Innovation Career Pathways

• Business and Finance
• Environmental and Life Science
• Health Care and Social Assistance
• Information
• Manufacturing

About this dataset

Context

The dataset tabulates the Non-Hispanic population of State College by race. It includes the distribution of the Non-Hispanic population of State College across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of State College across relevant racial categories.

Key observations

Of the Non-Hispanic population in State College, the largest racial group is White alone with a population of 31,373 (81.20% of the total Non-Hispanic population).

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the State College
• Population: The population of the racial category (for Non-Hispanic) in the State College is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of State College total Non-Hispanic 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

About this dataset

Context

The dataset tabulates the Non-Hispanic population of University Place by race. It includes the distribution of the Non-Hispanic population of University Place across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of University Place across relevant racial categories.

Key observations

Of the Non-Hispanic population in University Place, the largest racial group is White alone with a population of 21,106 (68.51% of the total Non-Hispanic population).

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the University Place
• Population: The population of the racial category (for Non-Hispanic) in the University Place is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of University Place total Non-Hispanic 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 University Place Population by Race & Ethnicity. You can refer the same here

This data is provided by Gallatin College, Southwest Montana's two-year college that offers two-year associate degrees and one-year professional certificates. This data describes the demographics for both race and ethnicity as well as gender identity for all of the programs offered by Gallatin College.Data DictionaryRace/Ethinicity:A: AsianAIAN: American Indian or Alaska NativeBAA: Black or African AmericanHL: Hispanic or LatinoNHPI: Native Hawaiian or other Pacific IslanderW: WhiteOther: Some other raceTwo: Two or more racesGender IdentityFemaleMaleGNI: Gender not identifiedFind out more about Gallatin College

In 2024, white respondents had the highest rates of confidence about being able to meet the costs of a college education in the United States. Meanwhile, ** percent of Hispanic respondents and ** of Black respondents were completely confident about being able to pay the costs of college education. On the other side of the spectrum, *** percent of white and Black respondents were unconfident about being able to meet these costs.

In the fall of 2022, 852 undergraduate students at Harvard University were Hispanic or Latino. This compares to 2,436 White undergraduate students.

College Enrollment By Race In HI

According to a survey conducted in 2023, ** percent of Black Americans said that they approved of selective colleges and universities taking race and ethnicity into account in admissions decisions in order to increase diversity at school in the United States, while ** percent of Hispanic Americans and ** percent of Asian Americans shared this belief.

Enrollment trends by SUNY Sector for home institution students by their racial/ethnic group beginning Fall 2002.

In 2023, there were approximately 42,900 students with American Indian or Alaska Native heritage enrolled in 2-year higher education institutions in the United States. This is compared to around 664,000 Black students who were enrolled in 2-year colleges in that same year.

Graph and download economic data for Consumer Unit Characteristics: Percent College by Race: White, Asian, and All Other Races, Not Including Black or African American (CXU980310LB0902M) from 1984 to 2023 about consumer unit, asian, tertiary schooling, white, education, percent, and USA.

In California in 2022, 20.5 percent of students enrolled in K-12 public schools were white, 11.9 percent were Asian, and 56.2 percent were Hispanic. In the United States overall, 44.7 percent of K-12 public school students were white, 5.5 percent were Asian, and 28.7 percent were Hispanic.

In 2018, 66 percent of students at highly selective colleges were white. However, if SAT scores were the sole factor in admissions, this percentage would increase to 75 percent.

The Higher Education General Information Survey (HEGIS) series was designed to provide comprehensive information on various aspects of postsecondary education in the United States and its territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands) and Department of Defense schools outside the United States. Data are available for both public and private two-year and four-year institutions. The HEGIS Fall Enrollment component for 1969 sought enrollment data from 2,814 institutions of higher education. Key data elements, presented for up to five record types for each institution, include total enrollments of full-time and part-time students by class level, sex, race, and first-time enrollment status, as well as information on the institutions' type of accreditation, type of calendar system, and total number of students.