Skip to Content
Main content

ELL Data - Glossary of Terms | Business Rules

NYC GEOG DIST #16 - BROOKLYN ENGLISH LANGUAGE LEARNERS ENROLLMENT (2022 - 23)

K-12 ELL Enrollment: 331
K-12 Former ELL Enrollment: 106

ELL ENROLLMENT BY GENDER

MALE

177

53%

FEMALE

153

46%

ELL ENROLLMENT BY ETHNICITY

AMERICAN INDIAN OR ALASKA NATIVE

7

2%

BLACK OR AFRICAN AMERICAN

31

9%

HISPANIC OR LATINO

225

68%

ASIAN OR NATIVE HAWAIIAN/OTHER PACIFIC ISLANDER

35

11%

WHITE

32

10%

MULTIRACIAL

1

0%

OTHER GROUPS

STUDENTS WITH DISABILITIES

77

23%

ECONOMICALLY DISADVANTAGED

299

90%

ELL ENROLLMENT BY GRADE

K (FULL DAY)

36

11%

1ST GRADE

29

9%

2ND GRADE

28

8%

3RD GRADE

34

10%

4TH GRADE

35

11%

5TH GRADE

25

8%

6TH GRADE

17

5%

7TH GRADE

9

3%

8TH GRADE

22

7%

9TH GRADE

24

7%

10TH GRADE

22

7%

11TH GRADE

29

9%

12TH GRADE

18

5%

UNGRADED SECONDARY

3

1%

Data used to generate the Home Languages, English Language Learners Breakdown, and the English Language Learners Programs tables differs from the rest of the report. Students included in the Home Languages, English Language Learners Breakdown, and the English Language Learners Programs were those students who were identified as ELL during the school year. The rest of the report includes students who were ELL as of BEDS day.

HOME LANGUAGES

  1. Spanish
  2. Arabic
  3. Bengali
  4. Fulah
  5. Haitian Creole

ENGLISH LANGUAGE LEARNERS BREAKDOWN

NEWCOMERS

357

DEVELOPING

118

LONG TERM

114

SIFE

33

ENGLISH LANGUAGE LEARNERS PROGRAMS

ENGLISH AS A NEW LANGUAGE

410

ONE WAY/ TWO WAY DUAL LANGUAGE PROGRAM

48

TRANSITIONAL BILINGUAL EDUCATION PROGRAM

5

Enrollment Suppression

When the Total Students count equals the count in the English Language Learner Students, Students with Disabilities, and/or Economically Disadvantaged Students category, the data are suppressed.

When the count of students in either the English Language Learner Students, Students with Disabilities, and/or Economically Disadvantaged Students category is less than 5, the data are suppressed.

×
Top
  1. You can do a side-by-side comparison of the same dataset between two or three location and/or years. There are two ways to accomplish this.

    1. Use the quick comparisons section for the most common options.
    2. Create a custom comparison, by adding this location to the comparison engine using the + button.

  2. If you're creating a custom comparison, you'll need to navigate to this report for another location and/or year and use the + icon on that page to add it to the comparison engine.