This file includes Report Card enrollment data from 2020-21 school year. Data are disaggregated by school, district, and the state level and includes counts of students by the following groups: grade level, gender, race/ethnicity, and student programs and special characteristics. Please review the notes below for more information.

In 2020, Black graduates took on the most student loan debt in the United States, borrowing an average of 58,400 U.S. dollars after four years of completing a bachelor's degree. In comparison, Hispanic graduates borrowed an average of 41,700 U.S. dollars after four years of completing a bachelor's degree.

There were approximately 18.58 million college students in the U.S. in 2022, with around 13.49 million enrolled in public colleges and a further 5.09 million students enrolled in private colleges. The figures are projected to remain relatively constant over the next few years.

What is the most expensive college in the U.S.? The overall number of higher education institutions in the U.S. totals around 4,000, and California is the state with the most. One important factor that students – and their parents – must consider before choosing a college is cost. With annual expenses totaling almost 78,000 U.S. dollars, Harvey Mudd College in California was the most expensive college for the 2021-2022 academic year. There are three major costs of college: tuition, room, and board. The difference in on-campus and off-campus accommodation costs is often negligible, but they can change greatly depending on the college town.

The differences between public and private colleges Public colleges, also called state colleges, are mostly funded by state governments. Private colleges, on the other hand, are not funded by the government but by private donors and endowments. Typically, private institutions are  much more expensive. Public colleges tend to offer different tuition fees for students based on whether they live in-state or out-of-state, while private colleges have the same tuition cost for every student.

This dataset includes the attendance rate for public school students PK-12 by student group and by district during the 2020-2021 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.

SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES SCHOOL ENROLLMENT - DP02 Universe - Population 3 Year and over enrolled in school Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 People were classified as enrolled in school if they were attending a public or private school or college at any time during the 3 months prior to the time of interview. The question included instructions to “include only nursery or preschool, kindergarten, elementary school, home school, and schooling which leads to a high school diploma, or a college degree.” Respondents who did not answer the enrollment question were assigned the enrollment status and type of school of a person with the same age, sex, race, and Hispanic or Latino origin whose residence was in the same or nearby area.

In the 6 years to July 2021, the number and percentage of White undergraduate entrants went down – they went up for all other ethnic groups.

Historical Dataset starting with School Year 2016-2017 through the most Current School Year enrollments for all publicly funded schools in Pennsylvania as reported by school districts, area vocational-technical schools, charter schools, intermediate units, and state operated educational facilities. Local education agencies were asked to report those students who were enrolled and attending as of October 1, of the later year.

County and Statewide Totals Notes:

Statewide and county totals include counts of students attending education classes on a full-time basis outside their parents' district of residence. This data was obtained from the Bureau of Special Education (PENNDATA 2016).

Intermediate Unit and CTC Part-day enrollments are excluded from county and state totals.

Statewide and county totals are unique counts of students being educated by public Local Education Agencies. LEA and School level reports may not sum to the County and Statewide totals.

Source: Pennsylvania Information Management System (PIMS)

This dataset contains the number of enrollees by County, Grade, and Race who are Full-time Out-of-District Special Education for the 2020-2021 school year. * Indicates a number less than 10 masked to prevent identification of individual students. ^ Indicates a number that was rounded to the next higher multiple of 5 to prevent calculation of a masked number.

This statistic shows the number of undergraduate students at Columbia University in fall 2020, by ethnicity. In that year, ***** undergraduate students at Columbia University identified as Hispanic or Latino.

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

When the COVID-19 pandemic began, U.S. college students reported increased anxiety and depression. This study examines mental health among U.S college students during the subsequent 2020–2021 academic year by surveying students at the end of the fall 2020 and the spring 2021 semesters. Our data provide cross-sectional snapshots and longitudinal changes. Both surveys included the PSS, GAD-7, PHQ-8, questions about students’ academic experiences and sense of belonging in online, in-person, and hybrid classes, and additional questions regarding behaviors, living circumstances, and demographics. The spring 2021 study included a larger, stratified sample of eight demographic groups, and we added scales to examine relationships between mental health and students’ perceptions of their universities’ COVID-19 policies. Our results show higher-than-normal frequencies of mental health struggles throughout the 2020–2021 academic year, and these were substantially higher for female college students, but by spring 2021, the levels did not vary substantially by race/ethnicity, living circumstances, vaccination status, or perceptions of university COVID-19 policies. Mental health struggles inversely correlated with scales of academic and non-academic experiences, but the struggles positively correlated with time on social media. In both semesters, students reported more positive experiences with in-person classes, though all class types were rated higher in the spring semester, indicating improvements in college students’ course experiences as the pandemic continued. Furthermore, our longitudinal data indicate the persistence of mental health struggles across semesters. Overall, these studies show factors that contributed to mental health challenges among college students as the pandemic continued.

BackgroundSince the onset of the COVID-19 pandemic in March 2020, reports of anti-Asian American or Pacific Islander (AAPI) hate have increased in the United States. Institutions of higher education provide a unique opportunity to examine COVID-19 related stigma and protective factors in AAPI young adults enrolled in college.ObjectiveThe goal of this research was to examine COVID-19 related stigma among a diverse college student population. We posited that AAPI students experience more racial discrimination, internalized stigma, and/or anticipated racial discrimination than other students. We also sought to identify protective behavioral factors against stigma.MethodsThis study includes data from a repeated cross-sectional survey that was administered among college students at a large public university in the United States in April (n = 1,359) and November 2020 (n = 1,196). All university enrolled students with an active email account were eligible to participate in the online survey, which included questions about COVID-19 stigma (anticipated, enacted, internalized), stigma resistance, sources of COVID-19 information, lifestyle behaviors, and sociodemographic information. Binary logistic regression models were utilized to assess differences in stigma between race and ethnic groups and to identify factors associated with stigma.ResultsAAPI students were more likely to experience all three types of stigma compared to other race and ethnic groups. AAPI students in both waves were at least 2 times more likely to experience enacted stigma and 7.3 times more likely to experience anticipated stigma in the earlier wave compared to non-Hispanic White students. Students who had experienced enacted stigma were more likely to experience anticipated stigma, and those who experienced enacted and anticipated stigma were more likely to experience internalized stigma. Higher education level, living with neighbors/roommates, maintaining a healthy lifestyle, and thinking positively about oneself may act as protective factors against different types of stigma.ConclusionAAPI students have a greater risk of experiencing COVID-19 stigma compared to those from other race and ethnic groups. Universities should combat anti-AAPI sentiments and COVID-19 stigma and promote public health efforts to build resistance against the negative effects of stigma.

Graph and download economic data for Consumer Unit Characteristics: Percent Never Attended School and Other by Race: Asian (CXU980320LB0904M) from 2003 to 2020 about schools, asian, consumer unit, education, percent, and USA.

Title School Demographics 2021 - SCHDEMO22

Summary All public, alternate and charter schools in New Mexico, Number active = 911, with data on official 40-day enrollment by sex, race & ethnicity, English ability, special education, disability, poverty and other factors. UPDATED 11.3.22

Source NMPED

Notes 6 'MISC PRESCHOOL PROGRAMS' omitted due to lack of location information, accounting for 190 preschool students, 18 locations lacking adequate identifying information accounting for 1,649 students, and 11 HOMEBOUND or HOSPITALIZED accounting for 0 students. Community Schools for Alamogordo, Albuquerque, Animas, Artesia, Aztec, Belen, Bernalillo, Bloomfield, Capitan, Carlsbad, Carrizozo, Central Consolidated, Chama, Cimarron, Clayton, Cloudcroft, Clovis, Corona, Cuba, Deming, Des Moines, Dexter, Dora, Dulce, Elida, Espanola, Estancia, Eunice, Farmington, Floyd, Ft. Sumner, Gadsden, Gallup, Grady, Grants, Hagerman, Hatch, Hobbs, Hondo, House, Jal, Jemez, Lake Arthur, Las Cruces, Las Vegas, Logan, Lordsburg, Los Alamos, Los Lunas, Loving, Lovington, Magdalena, Maxwell, Melrose, Mesa Vista, Mora, Moriarty-Edgewood, Mosquero, Mountainair, Pecos, Penasco, Pajoaque, Portales, Quemado, Questa, Raton, Rio Rancho, Roswell, Roy, Ruidoso, San Jon, Santa Fe, Santa Rosa, Silver City, Socorro, Springer, Taos, Tatum, Texaco, Truth or Consequences, Tucumcari, Tularosa, Vaughn, Wagon Mound, and Zuni Districts. New Community Schools added to master and feature layer Nov 3, 2022 - ALAMOGORDO: Chaparral Middle, Mountain View Middle, Sierra Elementary, Stepping Stones Preschool; ALBUQUERQUE: 21st Century Public Academy, Aces Technical Charter School, Alameda Elementary, Apache Elementary, Chaparral Elementary, Cochiti Elementary, Coral Community Charter, Coronado Elementary, Ecademy K-8, Gilbert L Sena Charter High, Kirtland Elementary, Navajo Elementary, New America School, Sierra Vista Elementary, Solare Collegiate Charter School, Voz Collegiate Preparatory Charter School, Zia Elementary; ANIMAS: Animas Elementary; ARTESIA: Artesia District Office, Central Elementary; BELEN: Central Elementary; BERNALILLO: Cochiti Elementary; CARLSBAD: Carlsbad Enrichment Center, Cottonwood Elementary, Monterrey Elementary, Sunset Elementary; CENTRAL CONSOLIDATED: Dream Dine, Kirtland Elementary; CLOVIS: CMS iAcademy at Lincoln Jackson, Zia Elementary; DEMING: Chaparral Elementary; DULCE: Dulce District Office; ESPANOLA: Headstart Chimayo Center, Holy Cross School, Los Ninos Elementary, Victory Christian; FARMINGTON: Animas Elementary, Apache Elementary; GADSDEN: Chaparral Elementary, Chaparral Middle, Desert Pride Academy; GALLUP: Navajo Elementary, GCCS Early College High, Middle College High School Charter; HATCH: Hatch Valley District Office; HOBBS: Coronado Elementary; LAS CRUCES: Alameda Elementary, Explore Academy Las Cruces, Raices Del Saber Xinachtli Community; LAS VEGAS CITY: Los Ninos Elementary, Sierra Vista Elementary; LORDSBURG: Central Elementary; LOS ALAMOS: Los Alamos District Office, Pinon Elementary; PORTALES: Portales District Office; RIO RANCHO: Joe Harris Elementary, Mountain View Middle, Sparkk Online Academy; ROSWELL: Monterrey Elementary, Sunset Elementary; ROY: Roy District Office; SANTA FE: Chaparral Elementary, Pinon Elementary; TRUTH OR CONSEQUENCES: Sierra Elementary.

Prepared by MASeeley_NMCDC3

Feature Service

Variable Definition

OBJECTID Suquential ID Number Listing

PERIOD Period

SNAPSHOT_d Snapshot Date

DISTRICT_C District Code

DISTRICT_N District Name

LOCATION_I Location ID

UID Unique Identifier

LOCATION_N Location Name

FIELD8 Miscellaneous Field

SCHOOL_TYP School Type

ALL_STUDEN All Students

MALES Male Students

PCT_MALES Percentage of Male Students

FEMALES Female Students

PCT_FEMALES Percentage of Female Students

SPED Special Education Students

PCT_SPED Percentage of Special Education Students

ELL Number of English Language Learner Students

PCT_ELL Percentage of English Language Language Learners

FRL Number of Free or Reduced Lunch Students

PCT_FRL Percentage of Free or Reduced Lunch Students

ASIAN Number of Asian American Students

PCT_ASIAN Percentage of Asian American Students

BLACK Number of African American Students

PCT_BLACK Percentage of African Americxan Students

CAUCASIAN Number of Caucasian Students

PCT_CAUCAS Percentage of Caucasian Students

HISPANIC Number of Hispanic American Students

PCT_HISPAN Percentage of Hispanic American Students

INDIAN Number of Native American Students

PCT_INDIAN Percentage of Native American Students

PACIFIC Number of Pacific Island Amerian Students

PCT_PACIFI Percentage of Pacific Island American Students

MULTI_RACE Number of Multi-Race Students

PCT_MULTI_ Percentage of Multi-Race Students

MIGRANT Number of Migrant Students

PCT_MIGRAN Percentage of Migrant Students

TITLE_I Number of Title 1 School Students

PCT_TITLE_ Percentage of Title 1 School Students

HOMELESS Number of Homeless Students

PCT_HOMELE Percentage of Homeless Students

GIFTED Number of Gifted Students

PCT_GIFTED Percentage of Gifted Students

ECONOMICAL

PCT_ECONOM

MILITARYFA Number of Military Family Students

PCT_MILIAR Percentage of Military Family Students

FOSTER_CAR Number of Foster Care Students

PCT_FOSTER Perentage of Foster Care Students

STATUS_20 Status as of 2020

ADDRESS Physical Street Address

CITY City

STATE State

ZIP Zip Code

LATITUDE Latitude

LONGITUDE Longitude

GEOCODE_ME Geocode origination

COMMUNITY_ Community Planning

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2019, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, states, and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..The 2016-2020 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

This graph illustrates the percentage of students enrolled in higher education in France during the academic year 2019-2020, distributed by nationality. It shows that 86.1 percent of responding students were of French nationality.

BackgroundCOVID-19-related health perceptions may differentially impact college students' stress, and in turn, their mental and physical health. This study examined racial/ethnic differences in college students' underlying perceptions of COVID-19 threat, healthcare discrimination, and U.S. healthcare system inequities and their associations with self-rated mental and physical health.MethodsFour-hundred-thirty-two university students completed an online survey (December 2020–December 2021). Latent class analyses identified classes of perceived COVID-19 threat (i.e., severity, susceptibility), healthcare discrimination, and U.S. healthcare system inequities. Regression analyses examined whether class membership varied by race/ethnicity and was associated with self-rated mental and physical health.ResultsClass 1 members (27.3% of the sample) were more likely to identify as Hispanic or Latino, Non-Hispanic Asian, Non-Hispanic Black or African American, and Non-Hispanic Multiracial vs. Non-Hispanic White (vs. Class 4). Class 1 had high perceived COVID-19 threat, medium perceived healthcare discrimination, and high perceived U.S. healthcare system inequities, as well as higher odds of poorer mental and physical health (vs. Class 4).ConclusionsCollege students' underlying perceptions of COVID-19 threat, healthcare discrimination, and U.S. healthcare system inequities were associated with poorer health. Given that students with these perceptions were more likely to belong to minoritized racial/ethnic groups, concerns over COVID-19 risk and healthcare may partially explain racial/ethnic disparities in college students' health. This study contributes to a limited body of evidence on college students' perceptions of the U.S. healthcare system and suggests important ways that structural inequalities and racial/ethnic disparities in COVID-19 risk, healthcare discrimination, and concerns over U.S. healthcare system inequity may affect college students' health.

The Civil Rights Data Collection (CRDC) is a biennial (i.e., every other school year) survey required by the U.S. Department of Education’s (Department) Office for Civil Rights (OCR) since 1968. The CRDC collects a variety of information including student enrollment and educational programs and services, most of which is disaggregated by race/ethnicity, sex, limited English proficiency, and disability. The CRDC is a longstanding and important aspect of the ED Office for Civil Rights (OCR) overall strategy for administering and enforcing the civil rights statutes for which it is responsible. Data was reported directly from the school districts to the Office of Civil Rights. This data process is not managed by OSPI and therefore the data is not validated or reviewed by OSPI before being reported to OCR. For this reason data presented in this file will not mirror OSPI reports on similar student and school measures. The 2020-21 data in the report represents the most recent data made publicly available by the CRDC as of 5/10/2021. In some cases data was unavailable or suppressed by OCR to protect student privacy, for more information on this please visit the CRDC webpage. In addition, directory information for some schools is incomplete, as the names of the organizations provided in the CRDC data files did not match the names of organizations on record with OSPI. For additional information or questions about this data please visit the CRDC webpage at https://ocrdata.ed.gov/.

Since 1968, OCR has collected civil rights data related to students' access and barriers to educational opportunity from early childhood through grade 12. These data are collected from all public schools and districts, as well as long-term secure juvenile justice facilities, charter schools, alternative schools, and special education schools that focus primarily on serving the educational needs of students with disabilities under IDEA or section 504 of the Rehabilitation Act. The CRDC collects information about student enrollment; access to courses, programs and school staff; and school climate factors, such as bullying, harassment and student discipline. Most data collected by the CRDC are disaggregated by race, ethnicity, sex, disability, and English Learners. Originally known as the Elementary and Secondary School Civil Rights Survey, OCR began by collecting data every year from 1968 to 1974 from a sample of school districts and their schools. Over time, the schedule and approach to data collection has changed. Since the 2011-12 collection, the CRDC has been administered every two years to all public school districts and schools in the 50 states and Washington, D.C., and OCR added the Commonwealth of Puerto Rico for the 2017-18 CRDC. Due to the COVID-19 pandemic that resulted in school closures nationwide, OCR postponed the 2019-20 CRDC and instead collected data from the 2020-21 school year.

The Civil Rights Data Collection (CRDC) is a biennial (i.e., every other school year) survey required by the U.S. Department of Education’s (Department) Office for Civil Rights (OCR) since 1968. The CRDC collects a variety of information including student enrollment and educational programs and services, most of which is disaggregated by race/ethnicity, sex, limited English proficiency, and disability. The CRDC is a longstanding and important aspect of the ED Office for Civil Rights (OCR) overall strategy for administering and enforcing the civil rights statutes for which it is responsible. Data was reported directly from the school districts to the Office of Civil Rights. This data process is not managed by OSPI and therefore the data is not validated or reviewed by OSPI before being reported to OCR. For this reason data presented in this file will not mirror OSPI reports on similar student and school measures. In some cases data was unavailable or suppressed by OCR to protect student privacy, for more information on this please visit the CRDC webpage. In addition, directory information for some schools is incomplete, as the names of the organizations provided in the CRDC data files did not match the names of organizations on record with OSPI. For additional information or questions about this data please visit the CRDC webpage at https://ocrdata.ed.gov/.

FOR TEST USE ONLYThis file includes Report Card enrollment data from 2019-20 school year. Data is disaggregated by school, district, and the state level and includes counts of students by the following groups: grade level, gender, race/ethnicity, and student programs and special characteristics. Please review the notes below for more information.Notes1.To download, press download above2.Each WSIF Run includes three years of data combined - 2019 (2019, 2018, 2017)