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.

36.1% of white undergraduate students got a first class degree in the 2021 to 2022 academic year, compared with 17.3% of black students.

Students from the Chinese ethnic group had the highest entry rate into higher education in every year from 2006 to 2024.

Historical Dataset of Dayton Career Tech High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2022-2023),Total Classroom Teachers Trends Over Years (2022-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2022-2023),Hispanic Student Percentage Comparison Over Years (2022-2023),Black Student Percentage Comparison Over Years (2022-2023),White Student Percentage Comparison Over Years (2022-2023),Two or More Races Student Percentage Comparison Over Years (2022-2023),Diversity Score Comparison Over Years (2022-2023),Math Proficiency Comparison Over Years (2022-2023),Overall School Rank Trends Over Years (2022-2023),Graduation Rate Comparison Over Years (2022-2023)

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.

Historical Dataset of Mandan Virtual High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2022-2023),Total Classroom Teachers Trends Over Years (2022-2023),Distribution of Students By Grade Trends,American Indian Student Percentage Comparison Over Years (2022-2023),Asian Student Percentage Comparison Over Years (2022-2023),Hispanic Student Percentage Comparison Over Years (2022-2023),Black Student Percentage Comparison Over Years (2022-2023),White Student Percentage Comparison Over Years (2022-2023),Two or More Races Student Percentage Comparison Over Years (2022-2023),Diversity Score Comparison Over Years (2022-2023),Graduation Rate Comparison Over Years (2022-2023)

This dataset includes the attendance rate for public school students PK-12 by student group and by district during the 2021-2022 school year. Student groups include: Students experiencing homelessness Students with disabilities Students who qualify for free/reduced lunch English learners All high needs students Non-high needs students Students by race/ethnicity (Hispanic/Latino of any race, Black or African American, White, All other races) Attendance rates are provided for each student group by district and for the state. Students who are considered high needs include students who are English language learners, who receive special education, or who qualify for free and reduced lunch. When no attendance data is displayed in a cell, data have been suppressed to safeguard student confidentiality, or to ensure that statistics based on a very small sample size are not interpreted as equally representative as those based on a sufficiently larger sample size. For more information on CSDE data suppression policies, please visit http://edsight.ct.gov/relatedreports/BDCRE%20Data%20Suppression%20Rules.pdf.

[Disclaimer: This application is a DRAFT and is still under development. Your feedback is welcome.]Data Use: This map showcases the educational attainment levels across Dallas, focusing on the percentage of the population that has graduated high school or achieved higher education. This data is crucial for identifying areas with high and low graduation rates, revealing disparities in educational opportunities. Understanding these variations can help policymakers and educators develop targeted interventions to improve educational outcomes, enhance economic opportunities, and reduce the long-term socioeconomic impacts of educational inequities.Data Source: U.S. Census Bureau, "Educational Attainment," American Community Survey, ACS 5-Year Estimates Subject Tables, Table S1501, 2022.Variables:S1501_C02_014E: Estimate Percent Population 25 years and over High school graduate or higher (%)S1501_C02_032E: Estimate Percent White, not Hispanic or Latino High school graduate or higher (%)S1501_C02_035E: Estimate Percent Black High school graduate or higher (%)S1501_C02_038E: Estimate Percent American Indian or Alaska Native High school graduate or higher (%)S1501_C02_041E: Estimate Percent Asian High school graduate or higher (%)S1501_C02_044E: Estimate Percent Native Hawaiian and Other Pacific Islander High school graduate or higher (%)S1501_C02_047E: Estimate Percent Some other race High school graduate or higher (%)S1501_C02_050E: Estimate Percent Two or more races High school graduate or higher (%)S1501_C02_053E: Estimate Percent Hispanic or Latino Origin High school graduate or higher (%)Education_Rank: Education RankRank Scoring Process: Census tracts were grouped into quintiles based on the percentage of high school graduates or higher (S1501_C02_014E).The scoring process categorizes each tract as follows:Score of 1: 98.1% - 100% (highest percentage of high school graduates or higher)Score of 2: 91.6% - 98.1%Score of 3: 78.4% - 91.5%Score of 4: 64.7% - 78.1%Score of 5: 31.9% - 64.6% (lowest percentage of high school graduates or higher)Year: 2022Provider: U.S. Census Bureau

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

In the academic year of 2022/2023, White students represented **** percent of U.S. study abroad students. Hispanic or Latino/Latina students comprised another **** percent of U.S. students in study abroad programs in that year.

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): 10.02% are white, 82.24% are Black or African American, 1.46% are Asian, 2.45% are some other race and 3.83% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

This dataset tracks annual two or more races student percentage from 2022 to 2023 for Dayton Career Tech High School vs. Ohio and Dayton Career Technology High School District

About this dataset

Context

The dataset presents the median household income across different racial categories in West College Corner. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of West College Corner population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 95.74% of the total residents in West College Corner. Notably, the median household income for White households is $63,504. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $63,504.

https://i.neilsberg.com/ch/west-college-corner-in-median-household-income-by-race.jpeg" alt="West College Corner median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in West College Corner.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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 median household income by race. You can refer the same here

Historical Dataset of University Neighborhood High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2006-2023),Total Classroom Teachers Trends Over Years (2007-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2006-2023),American Indian Student Percentage Comparison Over Years (2014-2022),Asian Student Percentage Comparison Over Years (2006-2023),Hispanic Student Percentage Comparison Over Years (2006-2023),Black Student Percentage Comparison Over Years (2006-2023),White Student Percentage Comparison Over Years (2006-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2006-2023),Free Lunch Eligibility Comparison Over Years (2006-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2006-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2012-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2012-2023),Graduation Rate Comparison Over Years (2013-2023)

About this dataset

Context

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

Key observations

The percent distribution of North College Hill population by race (across all racial categories recognized by the U.S. Census Bureau): 33.67% are white, 60.33% are Black or African American, 0.04% are American Indian and Alaska Native, 0.30% are Asian and 5.66% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 North College Hill
• Population: The population of the racial category (excluding ethnicity) in the North College Hill is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of North College Hill 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 North College Hill Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in State College. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of State College population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 83.20% of the total residents in State College. Notably, the median household income for White households is $48,949. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $60,276. This reveals that, while Whites may be the most numerous in State College, Two or More Races households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/state-college-pa-median-household-income-by-race.jpeg" alt="State College median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in State College.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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 median household income by race. You can refer the same here

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in College Place, the largest racial group is White alone with a population of 7,225 (90.09% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 College Place
• Population: The population of the racial category (for Non-Hispanic) in the College Place is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of College 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 College Place Population by Race & Ethnicity. You can refer the same here

Historical Dataset of West Point High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2016-2023),Total Classroom Teachers Trends Over Years (2016-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2016-2023),Asian Student Percentage Comparison Over Years (2019-2022),Hispanic Student Percentage Comparison Over Years (2017-2023),Black Student Percentage Comparison Over Years (2016-2023),White Student Percentage Comparison Over Years (2016-2023),Two or More Races Student Percentage Comparison Over Years (2022-2023),Diversity Score Comparison Over Years (2016-2023),Free Lunch Eligibility Comparison Over Years (2016-2023),Reading and Language Arts Proficiency Comparison Over Years (2016-2022),Math Proficiency Comparison Over Years (2016-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2016-2023),Graduation Rate Comparison Over Years (2016-2023)

Historical Dataset of Channel Islands High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1990-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2023),American Indian Student Percentage Comparison Over Years (1989-2005),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (1990-2023),White Student Percentage Comparison Over Years (1991-2023),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2009-2014),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1992-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2002-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2012-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2012-2023),Graduation Rate Comparison Over Years (2013-2023)