This file contains the number of students reported as part of the official dropout statistics within a given school year. The file contains the number of dropouts, the students enrolled and the corresponding dropout rate.

Dataset Overview:

This dataset provides valuable insights into predicting student dropout and academic success in higher education institutions. Collected from various disjoint databases, it includes data on students enrolled in a range of undergraduate programs, such as Agronomy, Design, Education, Nursing, Journalism, Management, Social Service, and Technologies.

The dataset contains a variety of features collected at the time of student enrollment, including academic path, demographics, and socio-economic factors. Additionally, it includes students' academic performance at the end of the first and second semesters. The goal is to build classification models that predict whether students are likely to drop out or succeed academically.

Key Features:

Academic path and degree program (Agronomy, Design, Nursing, etc.) Demographics (age, gender, etc.) Socio-economic factors (income level, family background, etc.) Academic performance at the end of first and second semesters Classification Task:

The dataset is structured for a three-category classification problem, where the target variable indicates the student's outcome (dropout, success, or other). Note that the data exhibits a strong class imbalance, which is a key challenge when developing predictive models.

A dataset created from a higher education institution (acquired from several disjoint databases) related to students enrolled in different undergraduate degrees, such as agronomy, design, education, nursing, journalism, management, social service, and technologies. The dataset includes information known at the time of student enrollment (academic path, demographics, and social-economic factors) and the students' academic performance at the end of the first and second semesters. The data is used to build classification models to predict students' dropout and academic sucess. The problem is formulated as a three category classification task, in which there is a strong imbalance towards one of the classes.

This dataset provides the number and percentage Massachusetts public high school students who dropped out of high school since 2008. It also includes the percentage of dropouts by grade.

Dropout rate is calculated as the percentage of students in a given grade who dropped out of school between July 1 and June 30 prior to the listed year and who did not return to school by the following October 1. Dropouts are defined as students who leave school prior to graduation for reasons other than transfer to another school. Dropout rates are not reported for any student group where the number of students is less than 6.

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.

This dataset contains the same data that is also published on our DESE Profiles site: Dropout Report

EDFacts Graduates and Dropouts, 2012-13 (EDFacts GD:2012-13) is one of 17 “topics" identified in the EDFacts documentation (in this database, each “topic" is entered as a separate study). EDFacts GD:2012-13 (ed.gov/about/inits/ed/edfacts) annually collects cross-sectional data from states about student who graduate or receive a certificate of completion from secondary education or students who dropped out of secondary education at the school, LEA, and state levels. EDFacts GD:2012-œ13 data were collected using the EDFacts Submission System (ESS), a centralized portal and their submission by states is mandatory and required for benefits. Not submitting the required reports by a state constitutes a failure to comply with law and may have consequences for federal funding to the state. Key statistics produced from EDFacts GD:2012-13 are from 6 data groups with information on Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Graduation Rate; Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Student Counts; Graduation Rate; Graduates/Completers; Regulatory Cohort Graduation Rate-Flex; and Regulatory Cohort Graduation Rate Student Counts-Flex. For the purposes of this system, data groups are referred to as 'variables', as a result of the structure and format of EDFacts' data.

Dropout Prevention Services and Programs (FRSS 99), is a study that is part of the Fast Response Survey System (FRSS) program; program data is available since 1998-99 at https://nces.ed.gov/surveys/frss/downloads.asp. FRSS 99 (https://nces.ed.gov/surveys/frss/index.asp) is a sample survey that provides national estimates on how public school districts identify students at risk of dropping out, programs used specifically to address the needs of students at risk of dropping out of school, the use of mentors for at-risk students, and efforts to encourage dropouts to return to school. The study was conducted using mail, surveys via the web, and telephone follow-up for survey nonresponse and data clarification. Superintendents of public school districts were sampled. The study's weighted response rate was 89 percent. Key statistics produced from FRSS 99 were information on various services or programs offered by districts specifically to address the needs of students at risk of dropping out of school, and types of transition support services used to help all students transition from a school at one instructional level to a school at a higher instructional level. Data on the various factors used to identify students who were at risk of dropping out were also collected.

In 2012, more than three million students dropped out from high school. At this pace, we will have more than 30 million Americans without a high school degree by 2022 and relatively high dropout rates among Hispanic and African American students. We have developed and analysed a data-driven mathematical model that includes multiple interacting mechanisms and estimates of parameters using data from a specifically designed survey applied to a certain group of students of a high school in Chicago to understand dynamics of dropouts. Our analysis suggests students' academic achievement is directly related to the level of parental involvement more than any other factors in our study. However, if the negative peer influence (leading to lower academic grades) increases beyond a critical value, the effect of parental involvement on the dynamics of dropouts becomes negligible.

The variable examined is graduation status after four years of high school. Early and summer graduates are considered graduates after four years. The "other" rate includes students who dropped out of high school, enrolled in a GED program, transferred to post-secondary education, or have unknown status. Special education students in school after four years but subsequently graduated are not included in the "still enrolled" rate due to Individuals with Disabilities Education Act (IDEA) restrictions. The subgroups reported are gender, race/ethnicity, English language learners, special education students, and students eligible for free or reduced-price meals (FRPM). The data replace the rate of students enrolled in 12th grade in September who graduated the following June. Connecticut State Department of Education (SDE) collects data longitudinally by four-year cohorts. SDE reports and CTdata.org carries graduation rates of four-year cohorts annually.

Dropout rates for Alaska public school districts. The dropout rate is defined by state regulation 4 AAC 06.895(i)(3) as a fraction of students grades 7-12 who have dropped out during the current school year out of the total students in grades 7-12 enrolled as of October 1st of the school year for which the data is reported.A student is considered to be a dropout when they have discontinued schooling for a reason other than graduation, transfer to another diploma-track program, emigration, or death unless the student is enrolled and in attendance at the same school or at another diploma-track program prior to the end of the school year (June 30).Students who depart a diploma track program in pursuit of GED certification, credit recovery, or non-diploma track vocational training are considered to have dropped out.This data set includes historic data from 1991 to present.GIS layers for individual years can be accessed using the Build Your Own Map application.Source: Alaska Department of Education & Early Development

This data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Department of Education & Early Development Data Center

From 2006 to 2022, the rate of high school dropouts in the United States significantly decreased. In 2022, the high school drop out rate was **** percent, a notable decrease from *** percent in 2006.

The percentage of 9th through 12th graders who withdrew from public school out of all high school students in a school year. Withdraw codes are used as a proxy for dropping out of school based upon the expectation that withdrawn students are no longer receiving educational services. A dropout is defined as a student who, for any reason other than death, leaves school before graduation or the completion of a Maryland-approved education program and is not known to enroll in another school or State-approved program during a current school year. Source: Baltimore City Public School System Years Available: 2009-2010, 2010-2011, 2011-2012, 2012-2013, 2013-2014, 2014-2015, 2015-2016, 2016-2017, 2018-2019, 2019-2020, 2020-2021

India School Drop Out Rate: 6-11 Years Old data was reported at 19.800 % in 2013. This records a decrease from the previous number of 21.300 % for 2012. India School Drop Out Rate: 6-11 Years Old data is updated yearly, averaging 36.945 % from Sep 1960 (Median) to 2013, with 24 observations. The data reached an all-time high of 67.000 % in 1970 and a record low of 19.800 % in 2013. India School Drop Out Rate: 6-11 Years Old data remains active status in CEIC and is reported by Ministry of Education. The data is categorized under India Premium Database’s Education Sector – Table IN.EDA002: School Drop Out Rate: 6-11 Years Old.

🎓 About the Dataset This dataset simulates academic and behavioral data of 5,000 students preparing for the JEE (Joint Entrance Examination)—one of the toughest entrance exams in India. It includes metrics like JEE scores, mock test performance, study hours, mental health, family background, and more.

Use Case The goal is to predict whether a student is likely to drop out after class 12. Beginner friendly dataset to play with it. Recommend you to go with the visualization.

How Was It Created? The dataset is synthetically generated using Python to reflect realistic distributions based on anecdotal knowledge, common trends, and field intuition. Some data points include outliers to mimic real-life unpredictability.

Suggested ML Tasks

Binary classification (dropout prediction)

Feature importance analysis

Educational policy modeling

Handling imbalanced datasets

Want Real Data? You can adapt this schema and collect real data anonymously using Google Forms in your circle.

EDFacts Graduates and Dropouts, 2017-18 (EDFacts GD:2017-18) is one of 17 “topics" identified in the EDFacts documentation (in this database, each “topic" is entered as a separate study). EDFacts GD:2017-18 (ed.gov/about/inits/ed/edfacts) annually collects cross-sectional data from states about student who graduate or receive a certificate of completion from secondary education or students who dropped out of secondary education at the school, LEA, and state levels. EDFacts GD:2017-18 data were collected using the EDFacts Submission System (ESS), a centralized portal and their submission by states is mandatory and required for benefits. Not submitting the required reports by a state constitutes a failure to comply with law and may have consequences for federal funding to the state. Key statistics produced from EDFacts GD:2017-18 are from 6 data groups with information on Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Graduation Rate; Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Student Counts; Graduation Rate; Graduates/Completers; Regulatory Cohort Graduation Rate-Flex; and Regulatory Cohort Graduation Rate Student Counts-Flex. For the purposes of this system, data groups are referred to as variables, as a result of the structure and format of EDFacts' data.

EDFacts Graduates and Dropouts, 2010-11 (EDFacts GD:2010-11), is one of 17 'topics' identified in the EDFacts documentation (in this database, each 'topic' is entered as a separate study); program data is available since 2005 at . EDFacts GD:2010-11 (ed.gov/about/inits/ed/edfacts) annually collects cross-sectional data from states about student who graduate or receive a certificate of completion from secondary education or students who dropped out of secondary education at the school, LEA, and state levels. EDFacts GD:2010-11 data were collected using the EDFacts Submission System (ESS), a centralized portal and their submission by states is mandatory and required for benefits. Not submitting the required reports by a state constitutes a failure to comply with law and may have consequences for federal funding to the state. Key statistics produced from EDFacts GD:2010-11 are from 6 data groups with information on Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Graduation Rate; Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Student Counts; Graduation Rate; Graduates/Completers; Regulatory Cohort Graduation Rate-Flex; and Regulatory Cohort Graduation Rate Student Counts-Flex. For the purposes of this system, data groups are referred to as 'variables', as a result of the structure and format of EDFacts' data.

Educational Youth Indicators

School Enrollment, Attendance, Achievement, and Engagement

By City of Baltimore [source]

About this dataset

This dataset from the Baltimore Neighborhood Indicators Alliance-Jacob France Institute (BNIA-JFI) gathers information about education and youth across Baltimore. Through tracking 27 indicators grouped into seven categories - student enrollment and demographics, dropout rate and high school completion, student attendance, suspensions and expulsions, elementary and middle school student achievement, high school performance, youth labor force participation, and youth civic engagement - BNIA-JFI paints a comprehensive picture of education trends within the city limits. Data sourced from the Baltimore City Public School System (BCPSS), American Community Survey (ACS), as well as Maryland Department of Education allows for cross program comparison to better map connections between educational outcomes affected by neighborhood context. The 2009-2010 school year was used based on readily available data with an approximated 3.4% of address unable to be matched or geocoded and therefore not included in these calculations. Leveraging this data provides perspective to help guide decisions made at local government level that could impact thousands of lives in years ahead

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How to use the dataset

This dataset contains valuable information about the educational performance and youth engagement in Baltimore City. It provides data on 27 indicators, grouped into seven categories: student enrollment and demographics; dropout rate and high school completion; student attendance, suspensions and expulsions; elementary and middle school student achievement; high school performance; youth labor force participation; and youth civic engagement. This dataset can be used to answer important questions about education in Baltimore, such as examining the relationship between community conditions and educational outcomes.

Before using this dataset, it’s important to understand the source of data for each indicator (e.g., Baltimore City Public School System, American Community Survey) so you can understand potential limitations inherent in each data set. Additionally, keep in mind that this dataset does not include students whose home address cannot be geocoded or matched between datasets due to inconsistency of information or other issues - this means that comparisons between some of these indicators may not be as accurate as is achievable with other datasets available from sources such as the Maryland Department of Education or the Baltimore City Public Schools System.

Once you are familiar with where the data comes from you can use it to answer these questions by exploring different trends within Baltimore city over time:

• How have student enrollment numbers changed over time?
• What has been the overall trend in dropout rates across elementary schools?
• Are there any differences in student attendance based on school type?
• What correlations exist between neighborhood community characteristics (such as crime rates or poverty levels), and academic achievement scores?
• How have rates of labor force participation among adolescents shifted year-over-year?

And more! By looking at trends by geography within this diverse city we can gain valuable insight into what factors may play a role influencing educational outcomes for children growing up in different areas around Baltimore City - an essential step for developing methodologies for successful policy interventions targeting our most vulnerable populations!

Research Ideas

• Analyzing the correlation between student achievement and socio-economic status of the neighborhoods in which students live.
• Creating targeted policies that are tailored to address specific educational issues showcased in each Baltimore neighborhood demographic.
• Using data visualizations to demonstrate to residents and community leaders how their area is performing compared to other communities in terms of education, dropout rates, suspension rates, and more

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. [See Other Information](https://creativecommons.org/public...

Realinho,Valentim, Vieira Martins,Mónica, Machado,Jorge, and Baptista,Luís. (2021). Predict students' dropout and academic success. UCI Machine Learning Repository. https://doi.org/10.24432/C5MC89.

EDFacts Graduates and Dropouts, 2015-16 (EDFacts GD:2015-16) is one of 17 “topics" identified in the EDFacts documentation (in this database, each “topic" is entered as a separate study). EDFacts GD:2015-16 (ed.gov/about/inits/ed/edfacts) annually collects cross-sectional data from states about student who graduate or receive a certificate of completion from secondary education or students who dropped out of secondary education at the school, LEA, and state levels. EDFacts GD:2015-16 data were collected using the EDFacts Submission System (ESS), a centralized portal and their submission by states is mandatory and required for benefits. Not submitting the required reports by a state constitutes a failure to comply with law and may have consequences for federal funding to the state. Key statistics produced from EDFacts GD:2015-16 are from 6 data groups with information on Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Graduation Rate; Regulatory Cohort Graduation Rate (Four, Five, and Six Year)-Student Counts; Graduation Rate; Graduates/Completers; Regulatory Cohort Graduation Rate-Flex; and Regulatory Cohort Graduation Rate Student Counts-Flex. For the purposes of this system, data groups are referred to as 'variables', as a result of the structure and format of EDFacts' data.

The Virginia Department of Education (VDOE) calculates two cohort graduation statistics annually. The Virginia On-Time Graduation Rate defines graduates as students who earn Advanced Studies, Standard, IB, or Applied Studies Diplomas for students who entered the ninth-grade for the first time together and were scheduled to graduate four years later. The formula also recognizes that some students with disabilities and limited English proficient (EL) students are allowed more than the standard four years to earn a diploma and counts those students as 'on-time' graduates.

The Federal Graduation Indicator limits graduates to students who earn Advanced Studies, Standard, or IB Diplomas. And, it does not include any allowances for students that are allowed more than four years to graduate. The FGI is solely used for required federal accountability reporting.

The Virginia Department of Education (VDOE) calculates two cohort graduation statistics annually. The Virginia On-Time Graduation Rate defines graduates as students who earn Advanced Studies, Standard, IB, or Applied Studies Diplomas for students who entered the ninth-grade for the first time together and were scheduled to graduate four years later. The formula also recognizes that some students with disabilities and limited English proficient (EL) students are allowed more than the standard four years to earn a diploma and counts those students as 'on-time' graduates.

The Federal Graduation Indicator limits graduates to students who earn Advanced Studies, Standard, or IB Diplomas. And, it does not include any allowances for students that are allowed more than four years to graduate. The FGI is solely used for required federal accountability reporting.

The Virginia Department of Education (VDOE) calculates two cohort graduation statistics annually. The Virginia On-Time Graduation Rate defines graduates as students who earn Advanced Studies, Standard, IB, or Applied Studies Diplomas for students who entered the ninth-grade for the first time together and were scheduled to graduate four years later. The formula also recognizes that some students with disabilities and limited English proficient (EL) students are allowed more than the standard four years to earn a diploma and counts those students as 'on-time' graduates.

The Federal Graduation Indicator limits graduates to students who earn Advanced Studies, Standard, or IB Diplomas. And, it does not include any allowances for students that are allowed more than four years to graduate. The FGI is solely used for required federal accountability reporting.