From a 500-row sample across 44 columns.
| dbn | school_name | year | total_enrollment | grade_3k | grade_pk_half_day_full_day | grade_k | grade_1 | grade_2 | grade_3 | grade_4 | grade_5 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 01M015 | P.S. 015 Roberto Clemente | 2017-18 | 190 | 0 | 17 | 28 | 32 | 33 | 23 | 31 | 26 |
| 01M015 | P.S. 015 Roberto Clemente |
The machine field names SoQL needs, with the publisher's own description of each.
| Field | Type | Description | Null | Values |
|---|---|---|---|---|
dbn | text | — | 0% | 84K78816K24320K105 |
school_name | text | — | 0% | New Visions Charter High…New Visions Charter High…P.S. 376 |
year | categorical | — | 0% | 2021-222020-212019-20of 5 |
total_enrollment | integer | — | 0% | 264302488 |
grade_3k |
GET /api/datasets/c7ru-d68s GET /api/datasets/c7ru-d68s/quality GET /api/datasets/c7ru-d68s/related GET /api/columns?dataset=c7ru-d68s
school_namedbngrade_11+39school_namedbngrade_11+25grade_11economic_need_indexasian_1+23grade_11economic_need_indexasian_1+23grade_11economic_need_indexasian_1+23dbndbntotal_enrollment| 2018-19 |
| 174 |
| 0 |
| 13 |
| 20 |
| 33 |
| 30 |
| 30 |
| 20 |
| 28 |
| 01M015 | P.S. 015 Roberto Clemente | 2019-20 | 190 | 0 | 14 | 29 | 28 | 38 | 33 | 29 | 19 |
| 01M015 | P.S. 015 Roberto Clemente | 2020-21 | 193 | 0 | 17 | 29 | 29 | 27 | 30 | 32 | 29 |
| 01M015 | P.S. 015 Roberto Clemente | 2021-22 | 179 | 0 | 15 | 30 | 26 | 24 | 22 | 33 | 29 |
| 01M019 | P.S. 019 Asher Levy | 2017-18 | 257 | 0 | 13 | 34 | 38 | 42 | 46 | 42 | 42 |
| 01M019 | P.S. 019 Asher Levy | 2018-19 | 249 | 0 | 10 | 30 | 39 | 43 | 41 | 44 | 42 |
| 01M019 | P.S. 019 Asher Levy | 2019-20 | 236 | 0 | 16 | 25 | 27 | 39 | 45 | 42 | 42 |
| 01M019 | P.S. 019 Asher Levy | 2020-21 | 212 | 0 | 13 | 23 | 25 | 27 | 38 | 44 | 42 |
| 01M019 | P.S. 019 Asher Levy | 2021-22 | 176 | 9 | 7 | 22 | 20 | 22 | 23 | 34 | 39 |
Showing 12 of 44 columns. All of them are listed below.
| integer |
| — |
| 0% |
01514 |
grade_pk_half_day_full_day | integer | — | 0% | 03618 |
grade_k | integer | — | 0% | 05047 |
grade_1 | integer | — | 0% | 05456 |
grade_2 | integer | — | 0% | 05254 |
grade_3 | integer | — | 0% | 06455 |
grade_4 | integer | — | 0% | 06452 |
grade_5 | integer | — | 0% | 06052 |
grade_6 | integer | — | 0% | 09061 |
grade_7 | integer | — | 0% | 08892 |
grade_8 | integer | — | 0% | 0155 |
grade_9 | integer | — | 0% | 0113114 |
grade_10 | integer | — | 0% | 011193 |
grade_11 | integer | — | 0% | 08893 |
grade_12 | integer | — | 0% | 07375 |
female | integer | — | 0% | 174137146 |
female_1 | float | — | 0% | 0.50.4880.487 |
male | integer | — | 0% | 0187156 |
male_1 | float | — | 0% | 0.50.5120.513 |
asian | integer | — | 0% | 213 |
asian_1 | float | — | 0% | 0.00.0090.004 |
black | integer | — | 0% | 8139 |
black_1 | float | — | 0% | 0.0140.0040.013 |
hispanic | integer | — | 0% | 979830 |
hispanic_1 | float | — | 0% | 0.150.2950.153 |
multi_racial | integer | — | 0% | 012 |
multi_racial_1 | float | — | 0% | 0.00.0020.003 |
native_american | integer | — | 0% | 120 |
native_american_1 | float | — | 0% | 0.00.0040.003 |
white | integer | — | 0% | 425 |
white_1 | float | — | 0% | 0.0110.00.009 |
missing_race_ethnicity_data | integer | — | 0% | 012 |
missing_race_ethnicity_data_1 | float | — | 0% | 0.00.0020.003 |
students_with_disabilities | integer | — | 0% | 918577 |
students_with_disabilities_1 | float | — | 0% | 1.00.1930.187 |
english_language_learners | integer | — | 0% | 02111 |
english_language_learners_1 | float | — | 0% | 0.00.0310.03 |
poverty | text | — | 0% | Above 95%355215 |
poverty_1 | text | — | 0% | Above 95%84.7%83.0% |
economic_need_index | text | — | 0% | Above 95%91.7%91.2% |