• Census Variables

  • Advanced Filters

National Public Data U.S. Department of Education CCD, EdFacts, CRDC 2014- 2016

Refine Schools

Use the toggle below to access advanced school filtering features. If you want to select specific schools use this to build a list. The choices on the left are all the schools visible on the current map. You can search by selecting the list on the left and typing the name of the school you are looking for.

School Data

This table shows the estimated number of college ready students in the schools currently visible on the map for the selected subgroups. Additional contextual data elements are provided as well to understand the schools' scores. Data are current as of the most current year of EdFacts data available, 2016 .

Virtual Schools

Virtual schools are not displayed on the map, because the students who attend them can be found over a wide geographic area. For that reason, the data for virtual schools within the area selected on the map are shown here. Data are current as of the most current year of EdFacts data available, 2016 .

Glossary and Definitions

What is the CRS?

The College Readiness Score (CRS) is the prediction from different latent variable models for each student subgroup the user can access through MAP. For all the models, MAP identifies a series of indicators about the percentage of students in the high school who participated in various college-level coursework or academic activities measured by the available data. This information is combined with the high school graduation rate to produce a normalized score through a process called latent variable modeling. The latent variable model is intended to summarize the information from each of these individual school measurements as a single continuous variable.

This measure can be interpreted as the average college-readiness of the students in that school. The CRS score is measured at the school level – it is not an individual student measure and no individual student data are used. This is a feature – by focusing on school performance and school history in creating college-ready academic opportunities for students it avoids labeling individual students.

This school level measure is then used to weight the enrollment of the senior class in the school so that schools with a higher college-readiness score appear larger on the map – reflecting the greater number of students there who would be eligible to enroll in your institution.

MAP Data Definitions

Data Sources

Mapping Admissions Prospects (MAP) draws on over 600 publicly available data elements measuring college-readiness and student success available through open and public data published by the US Department of Education. The datasets used are the Common Core of Data (CCD), EdFacts, and the Civil Rights Data Collection (CRDC). The most recent year of publicly available data was 2016 so the system currently uses data drawn from 2014-2016 to forecast current high school senior cohort performance.

MAP uses three data sets:

  • EdFacts, published annually (2014 – 2016)
  • Common Core of Data, published annually (2014 – 2016)
  • Civil Rights Data Collection, published biannually (2014, 2016)

Schools Included

The CRDC 2016 data are used as the master file for data included in MAP. All public schools and school districts in the country complete the CRDC - 18,859 schools were included in the CRDC 2016 data. Alternative Learning Programs, Special Education Schools, Juvenile Justice Centers, and Adult Education Programs were excluded from this analysis and data. Virtual High Schools and Charter schools are included. The sample of schools for each analysis varies depending on the completeness of the data elements required for each analysis.

Data Details

The data used by MAP are aggregated school-level data, counts of students, collected and published by the Department of Education. Student counts are available disaggregated by two categories of student - student race and sex. Student subgroup counts are available for all combinations of student race and sex (except for the graduation rate, which is only available at the single subgroup level (e.g. black students or male students)).

Tool Tip and Data Table Measures

TOOLTIP

Each of the tooltip values is for the most current year of data (currently 2016) for the selected student filters. In the case of the graduation rate and cohort size, the data are only filtered by race - race & sex filters are not currently available in EdFacts for these measures.

The four-year adjusted-cohort graduation rate (ACGR) is the number of students who graduate in four years with a regular high school diploma divided by the number of students who formed the cohort for that graduating class. The four-year adjusted cohort rate also includes students who graduate in less than four years.

  • Cohort Size - The denominator for the four-year adjusted cohort-graduation rate as reported in EdFacts

  • College Readiness - The CR score which estimates college-readiness of students in the school - the higher the score the greater the proportion of students in this school are estimated to be college-ready.

DATA EXPLORER

Each of the values in the data table is from the most current year of data and only for the selected student filters.

  • School - the name of the high school from the Common Core of Data
  • State - the abbreviation of the state the school resides in
  • Race - the value of the race filter selected by the user on the map tab
  • Sex - the value of the sex filter selected by the user on the map tab
  • HS Enrollment - the number of students in grades 9-12 enrolled at the school, from CCD
  • CR Score - the estimated college readiness score for the selected student subgroup and selected school
  • CR Size Est. - an estimate of the count of students in this school and student subgroup who are college-ready (calculated from the cohort size and CR score)
  • Grad. Rate - The adjusted-cohort graduation rate reported in EdFacts (see above)
  • % in Coll. Coursework - derived from the CRDC data (defined below), the percentage of high school students participating in college coursework
  • % Taking SAT/ACT - derived from CRDC data, the percentage of high school students who took the ACT or SAT in the most recent year of data
  • % in HS Physics - derived from CRDC data, the percentage of high school students in the school who took any physics course (full details of CRDC definitions below)
  • % in HS Chem - derived from CRDC data, the percentage of high school students in the school who took any chemistry course (full details of CRDC definitions below)
  • % in HS Calc. - derived from CRDC data, the percentage of high school students in the school who took any Calculus course (full details of CRDC definitions below)

EXPORT DATA

Two export formats are available. One format exports the data in the format described above under DATA EXPLORER in Excel or CSV format. The other exports all data for all subgroups of students simultaneously. Download the data dictionary for the full definitions of each field in this file.

Data Details

The Data Behind MAP

Data Used in Calculating the CR Score

For each student race-sex subgroup, the following key fields are used by MAP to estimate the college readiness of the average student. Brief definitions are provided but for
official definitions from the US Department of Education please see the Civil Rights Data Collection Master List of Definitions:

Counts of students enrolled in the following math courses:

  • Geometry (Courses that include topics such as properties of plane and solid figures, deductive methods of reasoning, and concepts of congruence, similarity, parallelism, etc. A pre-requisite to Algebra II)
  • Algebra II (Courses that include topics such as field properties and theorems, set theory, rational and irrational expressions, factoring, linear equations and inequalities)
  • Calculus (Courses that include the study of derivatives, differentiation, integration, and applications of calculus)
  • Advanced Math (Advanced math courses other than calculus e.g. trigonometry)

Counts of students enrolled in the following science courses:

  • Biology (Courses that include topics on cell structure, plant and animal physiology, genetics, etc.)
  • Chemistry (Courses that include topics on composition, properties and reactions of substances including chemical formulas and equations)
  • Physics (Courses that include study of the forces and laws of nature affecting matter)

AP courses are courses in a program sponsored by the College Board through which students may earn college credit through course participation and standardized AP exams. Counts of students enrolled in the following AP subject areas:

  • AP science (Biology, chemistry, physics, and environmental science)
  • AP math (Calculus AB and BC and statistics)
  • AP other subjects (All other courses outside of science and mathematics)

Counts of students participating in a dual enrollment / college course program:

  • IB program (International Baccalaureate Diploma Programme)
  • AP program (Participation in officially sponsored Advanced Placement courses)
  • Dual credit / Dual Enrollment program (Opportunity for students to take college-level courses offered by colleges and earn concurrent credit toward a high school diploma and college degree while still in school)

Counts of students taking a college entrance exam:

  • SAT/ACT test participation (Students who took either the SAT or ACT examination in the school year. Does not include students intending to take the exam in a subsequent school year or students who already took the exam in a prior school year.)

Other Data Used to Explore the CR Score

Census Data

Filters for household median income and the percentage of the population (25 years old or older) with a bachelors degree or higher are provided. These filters are based on data from the American Community Survey 5-year estimates 2012-2017 at the tract level. The data for each school represents the ACS estimates for the Census tract in which the school is located. 28 schools (< 0.1%) had their Census attributes imputed using a nearest-neighbor algorithm.

School Directory Data

For public school data, MAP includes all schools with students in grade 12 which were listed as active in the 2018-19 Common Core of Data preliminary school directory data.

The private school points are populated from the most current version of the Private School Universe Survey, 2017-18.

FAQ

How is the CRS calculated?

A latent-variable measurement model is estimated with a single latent factor - the CRS being defined by a subset of school-level percentages of students participating in college-prepratory activities and the high school graduation rate. The indicators going into the CRS measurement model vary slightly from student subgroup to student subgroup due to variability in the availability and reliability of percentages for each subgroup.

As an example, if the student subgroup selected is “White Female” then the school level attributes described on the Data Details page are selected and a percentage of all white females enrolled in grades 9-12 who participated in various college prepratory activities is computed. Those that are suitable for modeling are selected - so MAP may select the percentage of white female students taking the SAT/ACT, participating in college experiences, and taking AP math for example. These variables are combined with the graduation rate for the racial subgroup selected - as race/sex specific graduation rates are unavailable.

The measurement model is fit through maximum likelihood estimation with clustering at the school level to account for multiple measures of the same school over time. Using multiple years of data from each school helps increase the precision of our CRS estimates and decrease the noise related to small sample sizes in smaller high schools. School observations are also weighted by student enrollment to further reduce the influence of extreme values.

What schools are included in MAP?

For public school data, MAP includes all schools with students in grade 12 which were listed as active in the 2018-19 Common Core of Data preliminary school directory data.

The private school points are populated from the most current version of the Private School Universe Survey, 2017-18.

Is any student personally identifiable information used in MAP?

No. MAP relies on publicly reported data on public schools in the United States published by the United States Department of Education through the National Center for Education Statistics (NCES) and the Office of Civil Rights (OCR). This data has been published in accordance with the privacy regulations and disclosure procedures of the offices charged with publishing the data.

Open Source Software

We are proud to use and support open source projects:

Leaflet

The mapping interface is provided by Leaflet, © 2005-2019 Vladimir Agafonkin and is licensed under the BSD 2-Clause “Simplified” License.

The following Leaflet plugins, provided by leaflet.extras, licensed under GPL-3, were used:

Shiny

This application runs on the Shiny web application framework for R, © 2010-2019 RStudio and is licensed under the GPL-3 License.

The following extensions/plugins for Shiny were used:

R

MAP is built in the open source software R, using the open source web application framework known as Shiny. The software that preprocesses the public data, cleans them, and reorganizes them for analysis is also written in R making the entire application pipeline 100% open source.

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