Library Index :: Minorities: Race and Ethnicity in America :: Education - Public School Outcomes, Reforming The Public School System, Minorities And College

Education - Public School Outcomes

In the United States, education is often viewed as a way out of poverty to a better life. Many observers believe education is the key to narrowing the economic gap between the races. While many individual minority students strive for, and achieve, great educational success, on average minority students perform less well than white students in school and are generally more likely than their white counterparts to drop out of school. Asians and Pacific Islanders are the exception to this rule. Many Asian-American students accomplish stunning academic achievements. Educators point with pride to these high-achieving students, who have often overcome both language and cultural barriers. Why are some groups more at risk of failure, while other groups enjoy success?

Risk Factors in Education

Asian-American students generally have fewer family risk factors—living below the poverty level, living in a household where the primary language is not English, having a mother whose highest education is less than a high school diploma or equivalent, and living in a single-parent household—than other minority groups. The Early Childhood Longitudinal Study—Birth Cohort, a study by the NCES, collected information on a cohort of children born in 2001 and will follow them through 2007, focusing on children's early development and how parents prepare their children for school. While at nine months of age little variation in mental and motor skills was found by race or ethnic group, several demographic characteristics were related to the likelihood of families engaging in activities that help prepare children for school, including reading or telling them stories, singing to them, taking them on errands, playing peek-a-boo, and allowing them to play outside. Asian-American families were more likely than other minority groups to read to their children (26%), tell them stories (25%), and play peek-a-boo (73%), although they were less likely to facilitate outside playing (43%) and significantly less likely to take their children on errands (38%) than were other minority families. (See Table 3.2.)

In contrast, both African-American and Hispanic families were less likely to read to (23% and 21%, respectively) and tell their children stories (24% and 21%, respectively), and more likely to sing to them (73% and 70%, respectively) and play peek-a-boo (61% and 64%, respectively) than were white families. This may be partly because poor families were much less likely to engage in these activities with their children than were nonpoor families, and African-American and Hispanic families are disproportionately poor. African-American, white, and Hispanic families were about equally likely to take their children on errands and facilitate outside playing. (See Table 3.2.)

TABLE 3.1 Percentage distribution of public school students enrolled in grades K-12 who were minorities, 1972–2003 "Table 4-1. Percentage Distribution of Public School Students Enrolled in Kindergarten through 12th Grade, by Race/Ethnicity: Fall 1972–2003," in The Condition of Education 2005, National Center for Education Statistics, June 2005, http://nces.ed.gov/pubs2005/2005094.pdf (accessed December 28, 2005)

TABLE 3.1
Percentage distribution of public school students enrolled in grades K-12 who were minorities, 1972–2003
Fall of year White Total Minority enrollment
Black Hispanic Other
*Not available.
Note: Detail may not sum to totals because of rounding. Black includes African American and Hispanic includes Latino. Race categories exclude Hispanic origin unless specified. Includes all public school students enrolled in kindergarten through 12th grade. In 2003, the categories for race changed on the Current Population Study (CPS), allowing respondents to select more than one race. Respondents who selected more than one race were placed in the "other" category for the purposes of this analysis.
SOURCE: "Table 4-1. Percentage Distribution of Public School Students Enrolled in Kindergarten through 12th Grade, by Race/Ethnicity: Fall 1972–2003," in The Condition of Education 2005, National Center for Education Statistics, June 2005, http://nces.ed.gov/pubs2005/2005094.pdf (accessed December 28, 2005)
1972 77.8 22.2 14.8 6.0 1.4
1973 78.1 21.9 14.7 5.7 1.4
1974 76.8 23.2 15.4 6.3 1.5
1975 76.2 23.8 15.4 6.7 1.7
1976 76.2 23.8 15.5 6.5 1.7
1977 76.1 23.9 15.8 6.2 1.9
1978 75.5 24.5 16.0 6.5 2.1
1979 * * * * *
1980 * * * * *
1981 72.4 27.6 16.0 8.7 2.9
1982 71.9 28.1 16.0 8.9 3.2
1983 71.3 28.7 16.1 9.2 3.4
1984 71.7 28.3 16.1 8.5 3.6
1985 69.6 30.4 16.8 10.1 3.5
1986 69.1 30.9 16.6 10.8 3.6
1987 68.5 31.5 16.6 10.8 4.0
1988 68.3 31.7 16.5 11.0 4.2
1989 68.0 32.0 16.6 11.4 4.0
1990 67.6 32.4 16.5 11.7 4.2
1991 67.1 32.9 16.8 11.8 4.2
1992 66.8 33.3 16.9 12.1 4.3
1993 67.0 33.0 16.6 12.1 4.3
1994 65.8 34.2 16.7 13.7 3.8
1995 65.5 34.5 16.9 14.1 3.5
1996 63.7 36.3 16.6 14.5 5.3
1997 63.0 37.0 16.9 14.9 5.1
1998 62.4 37.6 17.2 15.4 5.1
1999 61.9 38.1 16.5 16.2 5.5
2000 61.3 38.7 16.6 16.6 5.4
2001 61.3 38.7 16.5 16.6 5.6
2002 60.7 39.3 16.5 17.6 5.2
2003 58.3 41.7 16.1 18.6 7.0

Segregation in Schools Persists

One reason African-American children have historically lagged behind white children in educational achievement has been the separate and inferior schools that they have been forced to attend. On May 17, 1954, in Brown v. Board of Education of Topeka, Kansas (347 US 483), the U.S. Supreme Court declared that separate schools for African-American children were inherently unequal and that schools had to be desegregated. More than fifty years later, more and more school districts are questioning whether the federal courts need to continue supervising desegregation. However, despite regulations and busing, many inner-city schools are still not integrated, and academic achievement for African-American children is still lagging. Many white students have moved (with their families' tax dollars) to the suburbs or transferred to private schools to avoid inner-city schools with high populations of minority students. Typically, half the white students assigned to new schools under desegregation orders never attend those schools.

Overcoming Risk Factors

In "Indochinese Refugee Families and Academic Achievement: The Children of Southeast Asian Boat People Excel in the American School System" (Scientific American, February 1992), Nathan Caplan, Marcella H. Choy, and John K. Whitmore find that despite hardships and severe traumatic experiences in their native countries and despite attending schools in low-income inner cities, most Indo-Chinese refugee students (which include children from Vietnam, Cambodia, Thailand, and Laos) performed well in school. Caplan, Choy, and Whitmore also find that strong family traditions and values were the important influences in these children's lives. The families were committed to a love of learning. They placed a high value on homework and did it as a family activity, with the older children helping the younger ones. Furthermore, parents read regularly to their children either in English or in their native language.

The Indo-Chinese are not the only group to have accomplished this kind of academic success. For the most part, Japanese immigrant families have strong traditions that place great value on learning. This group has also had high academic success, overcoming longtime racial prejudice to excel in school. In schools that emphasize parental involvement and structure in the children's learning environment at home as well as in school, African-Americans have also had outstanding achievement.

Educational Progress

THE EARLY CHILDHOOD LONGITUDINAL STUDY

The Early Childhood Longitudinal Study collected information on a cohort of children who began kindergarten in the fall of 1998 and followed them through the spring of 2004. The study specifically looked at children's achievement in mathematics and reading as they progressed through school. The study found that the number of family risk factors (poverty, non-English primary home language, mother's lack of a high school diploma/GED, or a single-parent household) inversely related to gains in mathematics and reading through third grade. (See Table 3.3.) Minority children tend to have higher numbers of risk factors than do white children. However, even when controlling for family risk factors, African-American children had lower average achievement scores than other racial and ethnic groups when they began kindergarten, and the gap in those achievement scores widened from the start of kindergarten through the end of third grade. The researchers have not yet proposed an explanation for this difference, but it may be because of TABLE 3.2 Percentage of children about 9 months of age who engaged in selected activities with a family member daily in a typical week, by child and family characteristics, 2001–02 "Table 35-1. Percentage of Children about 9 Months of Age who Engaged in Selected Activities with a Family Member Daily in a Typical Week, by Child and Family Characteristics: 2001–02," in The Condition of Education 2005, National Center for Education Statistics, June 2005, http://nces.ed.gov/pubs2005/2005094.pdf (accessed December 28, 2005)entrenched racism within American culture and the school system—if children of a particular group are expected to perform poorly, they may in fact do so.

TABLE 3.2
Percentage of children about 9 months of age who engaged in selected activities with a family member daily in a typical week, by child and family characteristics, 2001–02
Child and family characteristic Read stories Told stories Sung to Taken on errands Played peek-a-boo Played outside
aAmerican Indian includes Alaska Native, black includes African American, Pacific Islander includes Native Hawaiian, and Hispanic includes Latino. Race catagories exclude Hispanic origin unless specified.
bNormal birth weight is more than 5.5 pounds; low birthweight is more than 3.3 to 5.5 pounds; and very low birthweight is 3.3 pounds or less.
cFamily risk factors include living below the poverty level, living in a household where the primary language was not English, having a mother whose highest education was less than a high school diploma or equivalent, and living in a single-parent household.
Note: While the Early Childhood Longitudinal Study, Birth Cohort (ECLS-B) was designed to collect information on children about 9 months of age (i.e., 8 to 10 months), children were assessed as young as 6 months and as old as 22 months. Seventy-two percent of the children were between 8 and 10 months at the time of the assessment, and 84 percent were between 8 and 11 months.
SOURCE: "Table 35-1. Percentage of Children about 9 Months of Age who Engaged in Selected Activities with a Family Member Daily in a Typical Week, by Child and Family Characteristics: 2001–02," in The Condition of Education 2005, National Center for Education Statistics, June 2005, http://nces.ed.gov/pubs2005/2005094.pdf (accessed December 28, 2005)
   Total 33 27 74 64 68 47
Age
Less than 10 months 31 26 73 63 68 46
11-13 months 32 27 73 65 69 47
14-22 months 44 37 73 70 64 59
Sex
Male 32 27 73 64 68 48
Female 33 27 74 64 68 46
Race/ethnicitya
American Indian 18 23 64 75 64 46
Asian/Pacific Islander 26 25 71 38 73 43
Black 23 24 73 63 61 45
White 41 31 75 65 72 47
Hispanic 21 21 70 64 64 48
Birth weightb
Normal 33 27 73 64 68 47
Low 29 28 76 58 70 44
Very low 27 28 73 51 66 38
Poverty status
Poor 22 24 67 64 64 48
Nonpoor 36 28 75 64 70 47
Mother's education
Less than high school 22 22 66 64 65 50
High school diploma or equivalent 27 25 72 67 70 44
Some college 35 29 78 65 69 44
Bachelor's degree or higher 48 33 79 59 70 48
Family type
Two parents, with other siblings 31 25 71 63 65 46
Two parents, without other siblings 38 32 78 62 75 48
One parent, with other siblings 24 25 72 62 65 46
One parent, without other siblings 29 27 73 71 70 48
Primary language spoken in the home
English 36 29 75 65 70 46
Other than English 18 19 67 57 63 49
Mother's employment
35 hours or more 29 26 73 59 67 41
Less than 35 hours 36 27 75 66 69 46
Unemployed 27 26 75 68 71 50
Not in labor force 34 28 73 65 68 51
Number of family risk factorsc
Zero 41 31 77 64 70 46
One 25 25 73 64 67 47
Two or more 20 20 65 63 64 51

The study found that by the end of third grade the mean scale scores for reading achievement were highest for whites (112) and Asians and Pacific Islanders (111), followed by Hispanics (105) and African-Americans (98). The same pattern held true in mathematics. The mean scale scores for mathematics achievement were highest for whites (89) and Asians and Pacific Islanders (88), followed by Hispanics (82) and African-Americans TABLE 3.3 Children's reading and mathematics mean scale scores from kindergarten through 3rd grade, by selected characteristics, 1998–2002 "Table 8-1. Children's Reading and Mathematics Mean Scale Scores for Fall 1998 First-Time Kindergartners from Kindergarten through 3rd Grade, by Selected Characteristics: Fall 1998, Spring 1999, Spring 2000, and Spring 2002," in The Condition of Education 2004, National Center for Education Statistics, 2004, http://nces.ed.gov/programs/coe/2004/pdf/08_2004.pdf (accessed December 29, 2005)(73). From the start of kindergarten through third grade, whites, Asians and Pacific Islanders, and Hispanics made similar gains in both reading and mathematics; however, African-Americans lagged behind in both areas. (See Table 3.3.)

TABLE 3.3
Children's reading and mathematics mean scale scores from kindergarten through 3rd grade, by selected characteristics, 1998–2002
Characteristic Fall kindergarten Spring kindergarten Spring 1st grade Spring 3rd grade Total gain from fall kindergarten to spring 3rd grade
a Black includes African American, Pacific Islander includes Native Hawaiian, and Hispanic includes Latino. Racial categories exclude Hispanic origin.
b Family risk factors include living below the poverty level, primary home language was non-English, mother's highest education was less than a high school diploma/GED, and living in a single-parent household, as measured in kindergarten.
Note: Detail may not sum to totals because of rounding. Estimates reflect the sample of children assessed in English in all assessment years (approximately 19 percent of Asian children and approximately 30 percent of Hispanic children were not assessed). The Early Childhood Longitudinal Study, Kindergarten Class of 1998–99 (ECLS-K) reading and mathematics assessments were not administered in spring 2001, when most of the children were in 2nd grade. Although most of the sample was in 3rd grade in spring 2002, 10 percent were in 2nd grade, and about 1 percent were enrolled in other grades.
SOURCE: "Table 8-1. Children's Reading and Mathematics Mean Scale Scores for Fall 1998 First-Time Kindergartners from Kindergarten through 3rd Grade, by Selected Characteristics: Fall 1998, Spring 1999, Spring 2000, and Spring 2002," in The Condition of Education 2004, National Center for Education Statistics, 2004, http://nces.ed.gov/programs/coe/2004/pdf/08_2004.pdf (accessed December 29, 2005)
Reading
    Total 27 39 69 108 81
Sex
    Male 26 38 67 107 80
    Female 28 39 70 110 83
Race/ethnicitya
    Asian/Pacific Islander 30 43 75 111 81
    Black 25 34 61 98 73
    White 28 40 71 112 84
    Hispanic 24 36 65 105 81
    Other 25 36 63 101 76
Number of family risk factorsb
    0 factors 29 41 73 113 84
    1 factor 25 36 65 105 79
    2 or more factors 22 32 58 95 73
Mathematics
    Total 22 32 55 85 63
Sex
    Male 22 32 56 86 65
    Female 22 32 55 83 62
Race/ethnicitya
    Asian/Pacific Islander 23 34 56 88 65
    Black 18 26 47 73 55
    White 23 34 58 89 65
    Hispanic 19 29 52 82 63
    Other 20 29 51 80 61
Number of family risk factorsb
    0 factors 24 34 59 89 65
    1 factor 20 29 51 81 61
    2 or more factors 17 25 47 74 57

READING PERFORMANCE

The ability to read is fundamental to most aspects of education. When students cannot read well, they usually cannot succeed in other subject areas and will eventually have additional problems in a society requiring increasingly sophisticated job skills.

According to the National Assessment of Educational Progress (NAEP), which measures reading, writing, and mathematics proficiency on a scale from zero to five hundred, in 2003 white and Asian and Pacific Islander students had higher average reading scores than other racial and ethnic groups. In fourth grade the average reading score for whites was 229, for Asians and Pacific Islanders, 226, for Native Americans, 202, for Hispanics, 200, and for African-Americans, 198. The same pattern prevailed for eighth graders. The average reading score for white students in eighth grade was 272, for Asians and Pacific Islanders, 270, for Native Americans, 246, for Hispanics, 245, and for African-Americans, 244. (See Table 3.4.) Between fourth and eighth grade white and Asian and Pacific Islander students made much greater gains in average reading scores than did African-American, Hispanic, or Native American students.

MATHEMATICS PERFORMANCE

In a time when science and technology are considered vital to the nation's economy and position in the international community, education observers have been concerned about the generally poor American performance in mathematics and science. Since 1971 the NAEP has tested students to TABLE 3.4 Average reading score for 4th- and 8th-graders, by selected student and school characteristics, 2003 "Table 9-2. Average Reading Score for 4th- and 8th-Graders, by Selected Student and School Characteristics: 2003," in The Condition of Education 2005, National Center for Education Statistics, June 2005, http://nces.ed.gov/pubs2005/2005094.pdf (accessed December 28, 2005)determine their mathematical knowledge, skills, and aptitudes.

TABLE 3.4
Average reading score for 4th- and 8th-graders, by selected student and school characteristics, 2003
Student or school characteristic Grade 4 Grade 8
aAmerican Indian includes Alaski Native, black includes African American, Pacific Islander includes Native Hawaiian, and Hispanic includes Latino. Race categories include Hispanic origin unless specified.
bNot available
SOURCE: "Table 9-2. Average Reading Score for 4th- and 8th-Graders, by Selected Student and School Characteristics: 2003," in The Condition of Education 2005, National Center for Education Statistics, June 2005, http://nces.ed.gov/pubs2005/2005094.pdf (accessed December 28, 2005)
    Total 218 263
Sex
Male 215 258
Female 222 269
Race/ethnicitya
American Indian 202 246
Asian/Pacific Islander 226 270
Black 198 244
White 229 272
Hispanic 200 245
Parents' education
Less than high school b 245
High school diploma or equivalent b 254
Some college b 267
Bachelor's degree or higher b 273
How often student discusses studies at home
Every day 216 267
2-3 times a week 228 271
1-2 times a month 216 260
Never/hardly ever 212 253
Number of books in the home
0-10 192 238
11-25 204 249
26-100 223 264
More than 100 229 278
Control
Public 216 261
Private 235 282
Location
Central city 212 258
Urban fringe/large town 222 267
Rural/small town 220 264
Enrollment
Less than 300 222 269
300-999 218 264
1,000 or more 210 260
Percent of students in school eligible for free or reduced-price lunch
0-10 238 280
11-25 228 270
26-50 221 263
51-75 211 253
76-100 194 239

In 2003 Asians and Pacific Islanders had higher average mathematics scores than all other racial and ethnic groups. In fourth grade the average mathematics score for Asians and Pacific Islanders was 246, for whites, 243, for Native Americans, 223, for Hispanics, TABLE 3.5 Average mathematics score for 4th- and 8th-graders, by selected student and school characteristics, 2003 "Table 10-2. Average Mathematics Score for 4th- and 8th-Graders, by Selected Student and School Characteristics: 2003," in The Condition of Education 2005, National Center for Education Statistics, June 2005, http://nces.ed.gov/pubs2005/2005094.pdf (accessed December 28, 2005)222, and for African-Americans, 216. The same pattern prevailed for eighth graders. The average mathematics score for Asian and Pacific Islander students in eighth grade was 291, for whites, 288, for Native Americans, 263, for Hispanics, 259, and for African-Americans, 252. (See Table 3.5.)

TABLE 3.5
Average mathematics score for 4th- and 8th-graders, by selected student and school characteristics, 2003
Student or school characteristic Grade 4 Grade 8
aAmerican Indian includes Alaska Native, black includes African American, Pacific Islander includes Native Hawaiian, and Hispanic includes Latino. Race categories exclude Hispanic origin, unless specified.
bStudents reported on the mathematics course they were currently taking. Group 1 courses include 8th-grade mathematics and prealgebra. Group 2 courses include algebra I, algebra II, geometry, and integrated or sequential mathematics.
cNot available.
SOURCE: "Table 10-2. Average Mathematics Score for 4th- and 8th-Graders, by Selected Student and School Characteristics: 2003," in The Condition of Education 2005, National Center for Education Statistics, June 2005, http://nces.ed.gov/pubs2005/2005094.pdf (accessed December 28, 2005)
    Total 235 278
Sex
Male 236 278
Female 233 277
Race/ethnicitya
American Indian 223 263
Asian/Pacific Islander 246 291
Black 216 252
White 243 288
Hispanic 222 259
Parents' education
Less than high school c 257
High school diploma or equivalent c 267
Some college c 280
Bachelor's degree or higher c 288
Current mathematics class in 8th gradeb
Group 1 c 269
Group 2 c 298
Control
Public 234 276
Private 245 294
Location
Central city 229 271
Urban fringe/large town 238 281
Rural/small town 236 279
Enrollment
Less than 300 236 280
300-999 235 278
1,000 or more 230 275
Percent of students in school eligible for free or reduced-price lunch
0-10 250 295
11-25 244 285
26-50 237 278
51-75 229 266
76-100 216 251

Dropping Out

When students drop out or fail to complete high school, both the individual and society suffer. Dropping TABLE 3.6 Percentage of 16- to 24-year-olds who were high school dropouts, by race/ethnicity, selected years 1990–2003 Catherine Freeman and Mary Ann Fox, "Table 3.3. Percentage of 16- to 24-Year-Olds Who Were High School Dropouts, by Race/Ethnicity: Selected Years, 1990 to 2003," in Status and Trends in the Education of American Indians and Alaska Natives, National Center for Education Statistics, August 2005, http://nces.ed.gov/pubs2005/2005108.pdf (accessed January 19, 2006)out of school often results in limited occupational and economic opportunities for these individuals. For society, it may result in increased costs of government assistance programs for these individuals and their families, costly public training programs, and higher crime rates.

TABLE 3.6
Percentage of 16- to 24-year-olds who were high school dropouts, by race/ethnicity, selected years 1990–2003
Year Total White, non-Hispanic Black, non-Hispanic Hispanic Asian/Pacific Islander American Indian/Alaska Native
*Interpret data with caution.
Note: The data presented here represent status dropout rates, which is the percentage of 16- to 24-year-olds who are out of school and who have not earned a high school credential. The status dropout rate includes all dropouts regardless of when they last attended school, as well as individuals who may have never attended school in the U.S. such as immigrants who did not complete a high school diploma in their home country. Another way of calculating dropout rates is the event dropout rate, which is the percentage of 15- to 24-year-olds who dropped out of grades 10 through 12 in the 12 months preceding the fall of each data collection year.
SOURCE: Catherine Freeman and Mary Ann Fox, "Table 3.3. Percentage of 16- to 24-Year-Olds Who Were High School Dropouts, by Race/Ethnicity: Selected Years, 1990 to 2003," in Status and Trends in the Education of American Indians and Alaska Natives, National Center for Education Statistics, August 2005, http://nces.ed.gov/pubs2005/2005108.pdf (accessed January 19, 2006)
1990 12.1 9.0 13.4 32.4 4.9 16.4*
1992 11.0 7.7 13.7 29.5 5.7 17.5*
1994 11.4 7.7 12.6 30.0 5.8 10.2*
1996 11.1 7.3 13.0 29.4 5.3 13.0*
1998 11.8 7.7 13.8 29.5 4.1 11.8*
2000 10.9 6.9 13.1 27.8 3.8 14.0*
2001 10.7 7.3 10.9 27.0 3.6 13.1*
2002 10.5 6.5 11.3 25.7 3.9 16.8
2003 9.9 6.3 10.9 23.5 3.9 15.0*

According to the NCES in the Digest of Education Statistics, 2004 (2005, http://nces.ed.gov/programs/digest/d04/tables/dt04_107.asp), 9.9% of sixteen- to twenty-four-year-olds in 2003 had dropped out of high school. A far lower percentage of Asian and Pacific Islander (3.9%) and white, non-Hispanic students (6.3%) dropped out of high school than did African-American (10.9%), Native American and Alaska Native (15%), or Hispanic students (23.5%). (See Table 3.6.) However, the percentage of dropouts in that age group had decreased for all race and ethnic groups since 1990.

Progress for African-American Students

While the average academic performance of African-American students, in general, remains below that of white students, high school graduation among African-Americans has risen considerably. According to the Digest of Education Statistics, 2004, these figures represent significant improvement since 1960, when 27.2% of all students dropped out of school, and 1975, when 22.9% of African-American students and 29.2% of Hispanic students dropped out of school. The dropout rate has decreased more dramatically for African-American students since 1975 than it has for Hispanic students. In 2003 African-Americans age twenty-five and older were less likely than non-Hispanic whites and Asians and Pacific Islanders to have earned a high school diploma, but they were more likely than Hispanics to have received a diploma. Four in five African-Americans of that age (80%) had received a high school diploma. (See Figure 3.1.)

The Digest of Education Statistics, 2004 also shows that the percent of African-American high school graduates who enrolled in college within the past twelve months fluctuated throughout the period from 1972 through 2003, from a low of 32.5% in 1973 to a high of 61.9% in 1998. In 2003 more than half (57.5%) of African-American students who had completed high school or earned a GED in the past twelve months sought higher education.

Hispanic Educational Attainment Holds Steady

Although Hispanics made modest gains in education in the 1990s, low educational attainment has been a major hindrance to their economic advancement. In 2003 Hispanics continued to trail behind other groups in high school graduation rates. Only 57% of Hispanics age twenty-five and older had received high school diplomas, compared with 89.4% of non-Hispanic whites, 87.6% of Asian-Americans, and 80% of African-Americans. Not surprisingly, in that same year Asians and Pacific Islanders (49.8%), non-Hispanic whites (30%), and African-Americans (17.3%) were all more likely to have graduated from college than were Hispanics (11.4%). (See Figure 3.1.)

Why do Hispanics trail other racial and ethnic groups in educational attainment? A language barrier may be one reason. In 2003, 6.4 million (67.6%) Hispanic students in FIGURE 3.1 Educational attainment of the population 25 years and over by race, Hispanic origin, and age, 2003 Nicole Stoops, "Figure 3. Educational Attainment of the Population 25 Years and Over by Race, Hispanic Origin, and Age: 2003," in Educational Attainment in the United States: 2003, Current Population Reports P20-550, U.S. Census Bureau, June 2004, http://www.census.gov/prod/2004pubs/p20-550.pdf (accessed December 29, 2005)kindergarten through twelfth grade spoke Spanish at home. Close to two million (21%) Hispanic students spoke English with difficulty—one million (27.3%) Hispanic students age five to nine and 932,000 (16.7%) Hispanic students age ten to seventeen. (See Table 3.7.) The proportion of Hispanic students who spoke English with difficulty was higher than in any other racial or ethnic group.

The U.S. Census Bureau report Educational Attainment in the United States: 2003 (June 2004, http://www.census.gov/prod/2004pubs/p20-550.pdf) points out that between 1993 and 2003 the educational attainment of the Hispanic population had increased. The proportion of Hispanics age twenty-five and older with a high school diploma increased from 53% in 1993 to 57% in 2003; the proportion with some college increased from 26% in 1993 to 30% in 2003; and the proportion who had completed a four-year college degree increased from 9% in 1993 to 11% a decade later. However, all remained lower than for any other race or ethnic group. In addition, the educational attainment of the Hispanic population age twenty-five to twenty-nine was notably lower than for other groups and showed no change between 1993 and 2003.

Native American Educational Attainment Remains Low

Native Americans have the lowest educational attainment of all minority groups, which is attributable in part to a high dropout rate. According to Catherine Freeman and Mary Ann Fox in Status and Trends in the Education of Native Americans and Alaska Natives (August 2005, http://nces.ed.gov/pubs2005/2005108.pdf), 45,828 students attended Bureau of Indian Affairs schools and tribal schools in 2003–04, while 624,298 Native American and Alaska Native students attended public schools. Native American and Alaska Native eighth graders had the highest rate of absences of any race or ethnic group in the preceding month—65.7% of Native American or Alaska Native students had been absent, compared with 58.4% of Hispanics, 57.2% of whites, 55.6% of African-Americans, and 36.7% of Asians and Pacific Islanders. (See Table 3.8.)

Freeman and Fox report that the Office of Indian Education Programs (OIEP), which was established in the late nineteenth century, was working to improve educational opportunities and outcomes for the Native American population. In 2003–04 the OIEP oversaw 184 schools on sixty-three reservations in twenty-three states across the United States. In "Building Exemplary Schools for Tomorrow: 2002 Fingertip Facts" (2002, http://www.nectas.unc.edu/∼pdfs/topics/biaeduc.pdf), the OIEP reports that it convened in January 2001 a group of leaders and educators who developed a set of goals for programs to achieve by 2007. Known as the "Meeting of 100," the group anticipated that by 2007:

TABLE 3.7 Children ages 5-17 who spoke a language other than English at home and who spoke English with difficulty, by selected characteristics, 2003 "Table 5-2. Number and Percentage of Children Ages 5-17 Who Spoke a Language Other than English at Home and Who Spoke English with Difficulty, by Selected Characteristics: 2003," in The Condition of Education 2005, National Center for Education Statistics, June 2005, http://nces.ed.gov/pubs2005/2005094.pdf (accessed December 28, 2005)

TABLE 3.7
Children ages 5-17 who spoke a language other than English at home and who spoke English with difficulty, by selected characteristics, 2003
[In thousands]
Characteristic Number Spoke a language other than English at home Spoke English with difficultya
Total Ages 5-9 Ages 10-17
Number Percent of populationb Number Percent of populationb Number Percent of populationb Number Percent of populationb
aRespondents were asked if each child in the household spoke a language other than English at home. If they answered "yes," they were asked how well each could speak English. Categories used for reporting were "very well," "well," "not well," and "not at all." All those who reported speaking English less than "very well" were considered to have difficulty speaking English.
bPercentage of the total population for that particular subgroup. For example, 18.8 percent of all American Indians spoke a language other than English at home and 2.4 percent of all American Indians spoke a language other than English at home and spoke English with difficulty.
cAny native language spoken by Asian or Pacific Islanders, which linguists classify variously as Sino-Tibetan, Austroasiatic, or Austronesian languages.
dAmerican Indian includes Alaska Native, black includes African American, Pacific Islander includes Native Hawaiian, and Hispanic includes Latino. Race categories exclude Hispanic origin unless specified.
eU.S.-born includes all children born in Puerto Rico or other U.S. territories and those born outside of the United States to American citizens.
f"Near-poor" is defined as 100-199 percent of the poverty level, and "nonpoor" is defined as at least twice the poverty level.
Note: Detail may not sum to totals because of rounding.
SOURCE: "Table 5-2. Number and Percentage of Children Ages 5-17 Who Spoke a Language Other than English at Home and Who Spoke English with Difficulty, by Selected Characteristics: 2003," in The Condition of Education 2005, National Center for Education Statistics, June 2005, http://nces.ed.gov/pubs2005/2005094.pdf (accessed December 28, 2005)
    Total 53,023 9,911 18.7 2,915 5.5 1,431 7.2 1,485 4.5
Language spoken at home
Spanish 7,070 7,070 100.0 2,180 30.8 1,103 39.9 1,078 25.0
Other Indo-European 1,107 1,107 100.0 283 25.6 116 30.7 167 22.9
Asian/Pacific Islanderc 1,566 1,566 100.0 428 27.3 200 34.3 229 23.2
Other 126 126 100.0 16 12.8 7 15.8 9 11.1
Race/ethnicityd
American Indian 413 78 18.8 10 2.4 4 2.6 6 2.3
Asian/Pacific Islander 1,904 1,232 64.7 347 18.2 166 23.2 181 15.2
Black 7,835 404 5.2 105 1.3 37 1.3 68 1.4
White 32,008 1,648 5.1 436 1.4 159 1.4 277 1.4
Hispanic 9,413 6,367 67.6 1,980 21.0 1,049 27.3 932 16.7
    Mexican 6,417 4,446 69.3 1,490 23.2 820 30.9 669 17.8
    Puerto Rican 920 505 54.9 97 10.5 41 11.3 55 10.0
    Cuban 203 144 71.0 30 14.7 17 22.0 13 10.3
    Central or South American 1,137 947 83.3 288 25.3 133 29.4 155 22.7
    Other 736 325 44.2 76 10.4 37 12.4 39 9.0
Citizenshipe
U.S.-born 50,367 7,665 15.2 1,899 3.8 1,060 5.6 839 2.7
Naturalized U.S. citizen 461 293 63.6 74 16.1 16 18.0 58 15.6
Non-U.S. citizen 2,194 1,953 89.0 942 42.9 355 54.6 588 38.0
Poverty statusf
Poor 7,944 2,283 28.7 871 11.0 450 13.7 422 9.0
Near poor 11,064 3,049 27.6 968 8.8 497 11.4 471 7.0
Nonpoor 32,506 4,270 13.1 952 2.9 423 3.7 529 2.5
Region
Northeast 9,422 1,792 19.0 523 5.5 231 6.6 291 4.9
Midwest 19,032 3,032 15.9 909 4.8 447 6.3 463 3.9
South 11,974 1,183 9.9 388 3.2 189 4.2 199 2.6
West 12,595 3,904 31.0 1,095 8.7 563 11.9 532 6.8
  • All children will read independently by third grade.
  • 70% of students will be proficient or advanced in reading and math.
  • The individual student attendance rate will be 90% or better.
  • Students will demonstrate knowledge of their language and culture to improve academic achievement.
  • Enrollment, retention, placement, and graduation rates for postsecondary students will be increased.

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