This dataset shows broad performance metrics for education for Maryland as a whole, from School Years 2005/2006 to 2013/2014. Data are provided by the Maryland State Department of Education (MSDE) and were originally submitted to the Governor's Office.

In which post secondary institutions do graduates of WA public high schools enroll in the first year after HS graduation?

In which post secondary sectors (private/public, 2 Year / CTC / 4 Year, in-state/out of state) do high school graduates enroll in the first year after graduation?

What percentage of high school graduates complete a post secondary credential between two and eight years of high school graduation?

What percent of high school graduates enrolled in post secondary institutions in the first year after graduation?

The growing demand for an educated workforce dictates the need to monitor student outcomes closely throughout student enrollments, progress through different levels of education, successful completion of education, and into gainful employment. Successful student outcomes require robust programs of study, a variety of financial aid, and a customized approach to student needs. Data plays a critical role for the ability of decision-makers to improve educational programs, direct financial aid into best channels, align education programs with industry demands, and cater better to student needs. This student outcomes dashboard allows Iowa partners ease of access to Iowa's student outcomes in one consolidated place providing information related to student success, from PK-12 education and college readiness, to postsecondary education, gainful employment, and adult literacy programs.

The National Reporting System for Adult Education, 2016-17 (NRS 2016-17), is part of the Adult Education and Family Literacy program; program data is available since 1997 at https://nrs.ed.gov/. NRS 2016-17 (http://www.nrsweb.org) is a cross-sectional study that is designed to monitor performance accountability for the federally funded, state-administered adult education program. States will be required to submit their progress in adult education and literacy activities by reporting data on core indicators of outcomes on all adult learners who receive 12 or more hours of service as well as state expenditures on the adult education program. States can also report on additional, optional secondary measures that include outcomes related to employment, family, and community. The study will be conducted using a web-based reporting system of states. NRS 2016-17 is a universe survey, and all states are expected to submit data. Key statistics that will be produced from the study include student demographics, receipt of secondary school diploma or general education development (GED) certificate, placement in postsecondary education or training, educational gain, and employment placement and retention.

What percentage of first year college students enroll in remedial (pre-college) courses?

This report uses recent economic modelling to relate cognitive skills – as measured by PISA and other international instruments – to economic growth, demonstrating that relatively small improvements to labour force skills can largely impact the future well-being of a nation. The report also shows that it is the quality of learning outcomes, not the length of schooling, which makes the difference. A modest goal of all OECD countries boosting their average PISA scores by 25 points over the next 20 years would increase OECD gross domestic product by USD 115 trillion over the lifetime of the generation born in 2010. More aggressive goals could result in gains in the order of USD 260 trillion.

This report includes Graduation Outcomes as calculated by the New York State Education Department. The New York State calculation method was first adopted for the Cohort of 2001 (Class of 2005). The cohort consists of all students who first entered 9th grade in a given school year (e.g., the Cohort of 2006 entered 9th grade in the 2006-2007 school year). Graduates are defined as those students earning either a Local or Regents diploma.

The National Reporting System (NRS) for Adult Education, 2017-18 (NRS 2017-18) is a performance accountability system for the national adult education program that is authorized under the Adult Education and Family Literacy Act (AEFLA), title II of the Workforce Innovation and Opportunity Act (WIOA) of 2014. More information about the program is available at https://www2.ed.gov/about/offices/list/ovae/resource/index.html. NRS 2017-18 is a cross-sectional data collection that is designed to monitor performance accountability for the federally funded, state-administered adult education program. States are required to submit their progress in adult education and literacy activities by reporting data on the WIOA primary indicators of performance for all AEFLA program participants who receive 12 or more hours of service, as well as state expenditures on the adult education program. States may also report on additional, optional secondary measures that include outcomes related to employment, family, and community. The data collection is conducted using a web-based reporting system. NRS 2017-18 is a universe data collection activity, and all states are required to submit performance data. Key statistics that are produced from the data collection include student demographics, receipt of secondary school diploma or a high school equivalency (HSE) credential, placement in postsecondary education or training, measurable skill gain, and employment outcomes.

This page provides granteee-level program performance data and data analysis derived from performance reports submitted by grantees under the Educational Opportunity Centers (EOC) program.

Total enrollment count for students whose learning preference is remote or blended or missing and who have attended school in person at least once since September 16, 2020. Students attending charter schools, students receiving home or hospital instruction, pre-K students (3-K) attending New York City Early Education Centers (NYCEECs), and students attending some District 79 programs are not included. In order to comply with regulations of the Family Educational Rights and Privacy Act (FERPA) on public reporting of education outcomes, data for groups with 5 or fewer students enrolled are suppressed with an “s”. In addition, corresponding groups with the next lowest number of students enrolled are suppressed when they could reveal, through addition or subtraction, the underlying numbers that have been redacted.

This volume of PISA 2009 results examines how human, financial and material resources, and education policies and practices shape learning outcomes. Following an introduction to PISA and a Reader's Guide explaining how to interpret the data, Chapter 1 presents a summary of features shared by "successful" school systems. Chapter 2 details how resources, policies and practices relate to student performance. Chapter 3 provides detailed descriptions and in-depth analyses of selected organisational features (how students are sorted into grades, schools, and programmes, school autonomy, etc.) of schools and systems and how those aspects affect performance. Chapter 4 describes and analyzes key aspects of the learning environment (behaviours, discipline, parental involvement, school leadership, etc.) and how they affect performance. The final chapter discusses the policy implications of the findings. Annexes provides detailed statistical data and technical background.

The National Education Longitudinal Study of 1988 (NELS:88) is a study that is part of the Longitudinal Studies Branch (LSB) program; program data is available since 1988 at https://nces.ed.gov/surveys/nels88/data_products.asp. NELS:88 (https://nces.ed.gov/surveys/nels88/) is a longitudinal study that is designed to provide trend data about critical transitions experienced by students as they leave middle or junior high school, and progress through high school and into postsecondary institutions or the work force. A nationally representative sample of eighth-graders were first surveyed in the spring of 1988. A sample of these respondents were then resurveyed through four follow-ups in 1990, 1992, 1994, and 2000. Overall weighted response rate was unavailable as of December 2014. Key statistics produced from NELS:88 data can be used for policy-relevant research about educational processes and outcomes, for example: student learning; early and late predictors of dropping out; and school effects on students' access to programs and equal opportunity to learn.

Educational Technology and Teacher Education Programs for Initial Licensure, 2006 (PEQIS 15), is a study that is part of the Postsecondary Education Quick Information System (PEQIS) program; program data is available since 1997 at . PEQIS 15 (https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2008040) is a cross-sectional survey that collected information about teacher education programs for initial licensure of pre-kindergarten through 12th grade (PK-12) teachers. Title IV four-year degree-granting postsecondary institutions located in the 50 United States and the District of Columbia were sampled. The study was conducted using questionnaires for all eligible four-year institutions in the United States as identified from the 2004 Integrated Postsecondary Education Data System (IPEDS) "Institutional Characteristics" survey (IPEDS-IC). The study's response rate was 95 percent. Key statistics produced from PEQIS 15 include information on the educational technology-related topics and practices taught within teacher education programs for initial licensure, the extent to which teacher candidates are taught to use technology tools for a variety of purposes, the extent to which teacher candidates are able to practice what they learn during their field experiences (and the extent to which this opportunity is impeded by a variety of barriers within classrooms), and the perceived program outcomes for graduates of programs for initial licensure.

The National Reporting System for Adult Education, 2009-10 (NRS 2009-10), is part of the Adult Education and Family Literacy program; program data is available since 1997 at https://nrs.ed.gov/. NRS 2009-10 (http://www.nrsweb.org) is a cross-sectional study that was designed to monitor performance accountability for the federally funded, state-administered adult education program. States were required to submit their progress in adult education and literacy activities by reporting data on core indicators of outcomes on all adult learners who receive 12 or more hours of service as well as state expenditures on the adult education program. States could also report on additional, optional secondary measures that included outcomes related to employment, family, and community. The study was conducted using a web-based reporting system of states. NRS 2009-10 is a universe survey, and all states submitted data. Key statistics produced from the study include student demographics, reasons for attending the program, receipt of secondary school diploma or general education development (GED) certificate, placement in postsecondary education or training, educational gain, and employment placement and retention.

This report focuses on the development of reading proficiency during the transition from adolescence to early adulthood. The span of time between the ages of 15 and 24 is a critical period of development for young people. Once compulsory education is completed, individual decisions about post-secondary education, employment and other life choices have to be made with major consequences for future learning and employment outcomes. A good foundation in reading proficiency facilitates success in specialised education during higher education or during job-related training. Since reading proficiency is not the goal of such specialised or professional learning, reading skills may begin to atrophy. So both learning gains and losses need to be considered as human capital is developed. Canada’s investments in PISA, as well as in longitudinal data and reassessment of reading proficiency, provides insights into the importance of individual reading proficiency and later outcomes, such as educational attainment, further learning, employment and earnings. Therefore, this report makes a vital contribution to the understanding of learning gains between the ages of 15 and 24 and their impact on such outcomes, and provides a basis for evidence-based policy and strategic investments by the community of countries participating in PISA

Overall attendance data include students in Districts 1-32 and 75 (Special Education). Students in District 79 (Alternative Schools & Programs), charter schools, home schooling, and home and hospital instruction are excluded. Pre-K data do not include NYC Early Education Centers or District Pre-K Centers; therefore, Pre-K data are limited to those who attend K-12 schools that offer Pre-K. Transfer schools are included in citywide, borough, and district counts but removed from school-level files. Attendance is attributed to the school the student attended at the time. If a student attends multiple schools in a school year, the student will contribute data towards multiple schools. Starting in 2020-21, the NYC DOE transitioned to NYSED's definition of chronic absenteeism. Students are considered chronically absent if they have an attendance of 90 percent or less (i.e. students who are absent 10 percent or more of the total days). In order to be included in chronic absenteeism calculations, students must be enrolled for at least 10 days (regardless of whether present or absent) and must have been present for at least 1 day. The NYSED chronic absenteeism definition is applied to all prior years in the report. School-level chronic absenteeism data reflect chronic absenteeism at a particular school. In order to eliminate double-counting students in chronic absenteeism counts, calculations at the district, borough, and citywide levels include all attendance data that contribute to the given geographic category. For example, if a student was chronically absent at one school but not at another, the student would only be counted once in the citywide calculation. For this reason, chronic absenteeism counts will not align across files. All demographic data are based on a student's most recent record in a given year. Students With Disabilities (SWD) data do not include Pre-K students since Pre-K students are screened for IEPs only at the parents' request. English language learner (ELL) data do not include Pre-K students since the New York State Education Department only begins administering assessments to be identified as an ELL in Kindergarten. Only grades PK-12 are shown, but calculations for "All Grades" also include students missing a grade level, so PK-12 may not add up to "All Grades". Data include students missing a gender, but are not shown due to small cell counts. Data for Asian students include Native Hawaiian or Other Pacific Islanders . Multi-racial and Native American students, as well as students missing ethnicity/race data are included in the "Other" ethnicity category. In order to comply with the Family Educational Rights and Privacy Act (FERPA) regulations on public reporting of education outcomes, rows with five or fewer students are suppressed, and have been replaced with an "s". Using total days of attendance as a proxy , rows with 900 or fewer total days are suppressed. In addition, other rows have been replaced with an "s" when they could reveal, through addition or subtraction, the underlying numbers that have been redacted. Chronic absenteeism values are suppressed, regardless of total days, if the number of students who contribute at least 20 days is five or fewer. Due to the COVID-19 pandemic and resulting shift to remote learning in March 2020, 2019-20 attendance data was only available for September 2019 through March 13, 2020. Interactions data from the spring of 2020 are reported on a separate tab. Interactions were reported by schools during remote learning, from April 6 2020 through June 26 2020 (a total of 57 instructional days, excluding special professional development days of June 4 and June 9). Schools were required to indicate any student from their roster that did not have an interaction on a given day. Schools were able to define interactions in a way that made sense for their students and families. Definitions of an interaction included: • Student submission of an assignment or completion of an

Based on the survey results of OECD's PISA 2000 programme, this report looks at: the extent to which the schools that students attend make a difference in performance; the relative impact of school climate, school policies and school resources on quality and equity; the relationship between the structure of education systems and educational quality and equity; and the effect of decentralisation and privatisation to school performance. It concludes with a summary of how school factors relate to quality and equity, and the implications for policy. The analysis and data cover almost all OECD countries and 14 additional non-OECD countries.