The National Survey of College Graduates is a repeated cross-sectional biennial survey that provides data on the nation's college graduates, with a focus on those in the science and engineering workforce. This survey is a unique source for examining the relationship of degree field and occupation in addition to other characteristics of college-educated individuals, including work activities, salary, and demographic information.

The data here is from the report entitled Trends in Enrollment, Credit Attainment, and Remediation at Connecticut Public Universities and Community Colleges: Results from P20WIN for the High School Graduating Classes of 2010 through 2016.

The report answers three questions: 1. Enrollment: What percentage of the graduating class enrolled in a Connecticut public university or community college (UCONN, the four Connecticut State Universities, and 12 Connecticut community colleges) within 16 months of graduation? 2. Credit Attainment: What percentage of those who enrolled in a Connecticut public university or community college within 16 months of graduation earned at least one year’s worth of credits (24 or more) within two years of enrollment? 3. Remediation: What percentage of those who enrolled in one of the four Connecticut State Universities or one of the 12 community colleges within 16 months of graduation took a remedial course within two years of enrollment?

Notes on the data: School Credit: % Earning 24 Credits is a subset of the % Enrolled in 16 Months. School Remediation: % Enrolled in Remediation is a subset of the % Enrolled in 16 Months.

Graduation Rate (expressed as a percentage) Commencing 2000 to 2001, Graduation Rates are based on tracking individual students, where, for example, the 2022 to 2023 KPI Graduation Rate is based on students who started 1-year programs in 2020 to 2021, 2-year programs in 2018 to 2019, 3-year programs in 2016 to 2017 and 4-year programs in 2015 to 2016, and who had graduated by 2021 to 2022. KPI Graduation Rates include changes resulting from the KPI Review and Adjustment process (where required).

The District Analysis and Review Tools (DARTs) offer snapshots of district and school performance, allowing users to easily track select data elements over time, and make sound, meaningful comparisons to the state or to "comparable" organizations. The waterfall data shows a cohort of high school students and their progression through high school graduation, college enrollment and persistence in higher education to a second year or college completion.

This is a companion dataset to the main DART: Success After High School dataset. It contains two indicators published separately from the main dataset since the data are in a different format: "Student progression from high school through second year of postsecondary education" and "Student progression from high school through postsecondary degree completion". For all other DART: Success After High School indicators, please visit the main DART: Success After High School dataset.

This dataset contains the same data that is also published on our DART Detail: Success After High School Online Dashboard

The Colleges and Universities feature class/shapefile is composed of all Post Secondary Education facilities as defined by the Integrated Post Secondary Education System (IPEDS, http://nces.ed.gov/ipeds/), National Center for Education Statistics (NCES, https://nces.ed.gov/), US Department of Education for the 2018-2019 school year. Included are Doctoral/Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical Schools and other health care professions, Schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges, and other specialized institutions. Overall, this data layer covers all 50 states, as well as Puerto Rico and other assorted U.S. territories. This feature class contains all MEDS/MEDS+ as approved by the National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the "Place Keyword" section of the metadata. This feature class does not have a relationship class but is related to Supplemental Colleges. Colleges and Universities that are not included in the NCES IPEDS data are added to the Supplemental Colleges feature class when found. This release includes the addition of 175 new records, the removal of 468 no longer reported by NCES, and modifications to the spatial location and/or attribution of 6682 records.

Analysis of ‘College Enrollment, Credit Attainment and Remediation of High School Graduates Statewide’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/1330b4da-ad0c-4909-b8b6-47ba0fa956aa on 26 January 2022.

--- Dataset description provided by original source is as follows ---

The data here is from the report entitled Trends in Enrollment, Credit Attainment, and Remediation at Connecticut Public Universities and Community Colleges: Results from P20WIN for the High School Graduating Classes of 2010 through 2016.

The report answers three questions: 1. Enrollment: What percentage of the graduating class enrolled in a Connecticut public university or community college (UCONN, the four Connecticut State Universities, and 12 Connecticut community colleges) within 16 months of graduation? 2. Credit Attainment: What percentage of those who enrolled in a Connecticut public university or community college within 16 months of graduation earned at least one year’s worth of credits (24 or more) within two years of enrollment? 3. Remediation: What percentage of those who enrolled in one of the four Connecticut State Universities or one of the 12 community colleges within 16 months of graduation took a remedial course within two years of enrollment?

Notes on the data: CT Remed: % Enrolled in Remediation is a subset of the % Enrolled in 16 Months.

--- Original source retains full ownership of the source dataset ---

This dataset contains college enrollment information, by census tract, for the state of Michigan. College enrollment was defined as the number of public high school students who graduated in 2017, who enrolled in a college or university within 12 months of their high school graduation. This dataset includes enrollment in two-year and four-year institutions of higher education.

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.

The Project Information Literacy (PIL) lifelong learning survey dataset was produced as part of a two-year federally funded study on relatively recent US college graduates and their information-seeking behavior for continued learning. The goal of the survey was to collect quantitative data about the information-seeking behavior of a sample of recent graduates—the strategies, techniques, information support systems, and best practices—used to support lifelong learning in post-college life. The dataset contains responses from 1,651 respondents to a 21-item questionnaire administered between October 9, 2014 and December 15, 2014. The voluntary sample of respondents consisted of relatively recent graduates, who had completed their degrees between 2007 and 2012, from one of 10 US colleges and universities in the institutional sample. Quantitative data are included in the dataset about the learning needs of relatively recent graduates as well as the information sources they used in three arenas of their post-college lives (i.e., personal life, workplace, and the communities in which they resided). Demographic information—including age, gender, major, GPA, employment status, graduate school attendance, and geographic proximity of current residence to their alma mater—is also included in the dataset for the respondents. "Staying Smart: How Today's Graduates Continue to Learn Once They Complete College," Alison J. Head, Project Information Literacy Research Report, Seattle: University of Washington Information School (January 5, 2016), 112 pages, 6.9 MB.

The dataset contains academic year-, gender- and state-wise compiled data on number of students who have passed out in certificate, diploma, integrated, pg diploma, undergraduate, post graduate, m.phil and ph.d educational courses from the year 2010-11 to 2020-21. In addition, the dataset also contains separate data on number of students who have passed out with 60% or more marks

Analysis of ‘CollegeEnrollment12m 20162017 byTract 20190722’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/df1a5e60-59b6-4b55-acd3-1609aa1ab777 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset contains college enrollment information, by census tract, for the state of Michigan. College enrollment was defined as the number of public high school students who graduated in 2017, who enrolled in a college or university within 12 months of their high school graduation. This dataset includes enrollment in two-year and four-year institutions of higher education.

--- Original source retains full ownership of the source dataset ---

This dataset contains college enrollment information, by ZIP, for the state of Michigan. College enrollment was defined as the number of public high school students who graduated in 2017, who enrolled in a college or university within 12 months of their high school graduation. This dataset includes enrollment in two-year and four-year institutions of higher education.Click here for metadata (descriptions of the fields).

This dataset contains college enrollment information, by County Subdivison, for the state of Michigan. College enrollment was defined as the number of public high school students who graduated in 2017, who enrolled in a college or university within 12 months of their high school graduation. This dataset includes enrollment in two-year and four-year institutions of higher education.Click here for metadata (descriptions of the fields).

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

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

• 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

• 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

• 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

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

This dataset contains college enrollment information for the state of Michigan. College enrollment was defined as the number of public high school students who graduated in 2017, who enrolled in a college or university within 12 months of their high school graduation. This dataset includes enrollment in two-year and four-year institutions of higher education.Click here for metadata (descriptions of the fields).

In 2022, about 37.7 percent of the U.S. population who were aged 25 and above had graduated from college or another higher education institution, a slight decline from 37.9 the previous year. However, this is a significant increase from 1960, when only 7.7 percent of the U.S. population had graduated from college. Demographics Educational attainment varies by gender, location, race, and age throughout the United States. Asian-American and Pacific Islanders had the highest level of education, on average, while Massachusetts and the District of Colombia are areas home to the highest rates of residents with a bachelor’s degree or higher. However, education levels are correlated with wealth. While public education is free up until the 12th grade, the cost of university is out of reach for many Americans, making social mobility increasingly difficult. Earnings White Americans with a professional degree earned the most money on average, compared to other educational levels and races. However, regardless of educational attainment, males typically earned far more on average compared to females. Despite the decreasing wage gap over the years in the country, it remains an issue to this day. Not only is there a large wage gap between males and females, but there is also a large income gap linked to race as well.

This dataset contains the total annual FTE and unduplicated headcount enrollment 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.

Analysis of ‘CollegeEnrollment12m 20162017 byMICongDist 20190722’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/bf365c92-9495-4360-bbbb-1841b1bf5c74 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset contains college enrollment information, for Michigan's Congressional Districts, for the state of Michigan. College enrollment was defined as the number of public high school students who graduated in 2017, who enrolled in a college or university within 12 months of their high school graduation. This dataset includes enrollment in two-year and four-year institutions of higher education.

--- Original source retains full ownership of the source dataset ---

This dataset shows all school level performance data used to create CPS School Report Cards for the 2011-2012 school year. Metrics are described as follows (also available for download at http://bit.ly/uhbzah): NDA indicates "No Data Available." SAFETY ICON: Student Perception/Safety category from 5 Essentials survey // SAFETY SCORE: Student Perception/Safety score from 5 Essentials survey // FAMILY INVOLVEMENT ICON: Involved Families category from 5 Essentials survey // FAMILY INVOLVEMENT SCORE: Involved Families score from 5 Essentials survey // ENVIRONMENT ICON: Supportive Environment category from 5 Essentials survey // ENVIRONMENT SCORE: Supportive Environment score from 5 Essentials survey // INSTRUCTION ICON: Ambitious Instruction category from 5 Essentials survey // INSTRUCTION SCORE: Ambitious Instruction score from 5 Essentials survey // LEADERS ICON: Effective Leaders category from 5 Essentials survey // LEADERS SCORE: Effective Leaders score from 5 Essentials survey // TEACHERS ICON: Collaborative Teachers category from 5 Essentials survey // TEACHERS SCORE: Collaborative Teachers score from 5 Essentials survey // PARENT ENGAGEMENT ICON: Parent Perception/Engagement category from parent survey // PARENT ENGAGEMENT SCORE: Parent Perception/Engagement score from parent survey // AVERAGE STUDENT ATTENDANCE: Average daily student attendance // RATE OF MISCONDUCTS (PER 100 STUDENTS): # of misconducts per 100 students//AVERAGE TEACHER ATTENDANCE: Average daily teacher attendance // INDIVIDUALIZED EDUCATION PROGRAM COMPLIANCE RATE: % of IEPs and 504 plans completed by due date // PK-2 LITERACY: % of students at benchmark on DIBELS or IDEL // PK-2 MATH: % of students at benchmark on mClass // GR3-5 GRADE LEVEL MATH: % of students at grade level, math, grades 3-5 // GR3-5 GRADE LEVEL READ: % of students at grade level, reading, grades 3-5 // GR3-5 KEEP PACE READ: % of students meeting growth targets, reading, grades 3-5 // GR3-5 KEEP PACE MATH: % of students meeting growth targets, math, grades 3-5 // GR6-8 GRADE LEVEL MATH: % of students at grade level, math, grades 6-8 // GR6-8 GRADE LEVEL READ: % of students at grade level, reading, grades 6-8 // GR6-8 KEEP PACE MATH: % of students meeting growth targets, math, grades 6-8 // GR6-8 KEEP PACE READ: % of students meeting growth targets, reading, grades 6-8 // GR-8 EXPLORE MATH: % of students at college readiness benchmark, math // GR-8 EXPLORE READ: % of students at college readiness benchmark, reading // ISAT EXCEEDING MATH: % of students exceeding on ISAT, math // ISAT EXCEEDING READ: % of students exceeding on ISAT, reading // ISAT VALUE ADD MATH: ISAT value-add value, math // ISAT VALUE ADD READ: ISAT value-add value, reading // ISAT VALUE ADD COLOR MATH: ISAT value-add color, math // ISAT VALUE ADD COLOR READ: ISAT value-add color, reading // STUDENTS TAKING ALGEBRA: % of students taking algebra // STUDENTS PASSING ALGEBRA: % of students passing algebra // 9TH GRADE EXPLORE (2009): Average EXPLORE score, 9th graders who tested in fall 2009 // 9TH GRADE EXPLORE (2010): Average EXPLORE score, 9th graders who tested in fall 2010 // 10TH GRADE PLAN (2009): Average PLAN score, 10th graders who tested in fall 2009 // 10TH GRADE PLAN (2010): Average PLAN score, 10th graders who tested in fall 2010 // NET CHANGE EXPLORE AND PLAN: Difference between Grade 9 Explore (2009) and Grade 10 Plan (2010) // 11TH GRADE AVERAGE ACT (2011): Average ACT score, 11th graders who tested in fall 2011 // NET CHANGE PLAN AND ACT: Difference between Grade 10 Plan (2009) and Grade 11 ACT (2011) // COLLEGE ELIGIBILITY: % of graduates eligible for a selective four-year college // GRADUATION RATE: % of students who have graduated within five years // COLLEGE/ ENROLLMENT RATE: % of students enrolled in college // COLLEGE ENROLLMENT (NUMBER OF STUDENTS): Total school enrollment // FRESHMAN ON TRACK RATE: Freshmen On-Track rate // RCDTS: Region County District Type Schools Code

Analysis of ‘CollegeEnrollment12m 20162017 byMSA 20190722’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/c8cfabc1-d8d9-4138-806e-a5076a5683d5 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset contains college enrollment information, by MSA, for the state of Michigan. College enrollment was defined as the number of public high school students who graduated in 2017, who enrolled in a college or university within 12 months of their high school graduation. This dataset includes enrollment in two-year and four-year institutions of higher education.

--- Original source retains full ownership of the source dataset ---