From a 500-row sample across 43 columns.
poverty_1malefemale_1+38poverty_1malefemale_1+38poverty_1male| dbn | school_name | year | total_enrollment | grade_3k_pk_half_day_full | grade_k | grade_1 | grade_2 | grade_3 | grade_4 | grade_5 | grade_6 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 01M015 | P.S. 015 Roberto Clemente | 2016-17 | 178 | 17 | 28 | 33 | 27 | 31 | 24 | 18 | 0 |
| 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% | 13K02084K78816K243 |
school_name | text | — | 0% | New Visions Charter High…New Visions Charter High…P.S. 253 |
year | categorical | — | 0% | 2020-212019-202018-19of 5 |
total_enrollment | integer | — | 0% | 339302488 |
GET /api/datasets/vmmu-wj3w GET /api/datasets/vmmu-wj3w/quality GET /api/datasets/vmmu-wj3w/related GET /api/columns?dataset=vmmu-wj3w
female_1poverty_1malefemale_1+39poverty_1female_1grade_10+24whiteschool_nametotal_enrollment+7school_name| 2017-18 |
| 190 |
| 17 |
| 28 |
| 32 |
| 33 |
| 23 |
| 31 |
| 26 |
| 0 |
| 01M015 | P.S. 015 Roberto Clemente | 2018-19 | 174 | 13 | 20 | 33 | 30 | 30 | 20 | 28 | 0 |
| 01M015 | P.S. 015 Roberto Clemente | 2019-20 | 190 | 14 | 29 | 28 | 38 | 33 | 29 | 19 | 0 |
| 01M015 | P.S. 015 Roberto Clemente | 2020-21 | 193 | 17 | 29 | 29 | 27 | 30 | 32 | 29 | 0 |
| 01M019 | P.S. 019 Asher Levy | 2016-17 | 271 | 24 | 37 | 46 | 47 | 40 | 43 | 34 | 0 |
| 01M019 | P.S. 019 Asher Levy | 2017-18 | 257 | 13 | 34 | 38 | 42 | 46 | 42 | 42 | 0 |
| 01M019 | P.S. 019 Asher Levy | 2018-19 | 249 | 10 | 30 | 39 | 43 | 41 | 44 | 42 | 0 |
| 01M019 | P.S. 019 Asher Levy | 2019-20 | 236 | 16 | 25 | 27 | 39 | 45 | 42 | 42 | 0 |
| 01M019 | P.S. 019 Asher Levy | 2020-21 | 212 | 13 | 23 | 25 | 27 | 38 | 44 | 42 | 0 |
Showing 12 of 43 columns. All of them are listed below.
grade_3k_pk_half_day_full| integer |
| — |
| 0% |
03618 |
grade_k | integer | — | 0% | 05063 |
grade_1 | integer | — | 0% | 05654 |
grade_2 | integer | — | 0% | 05250 |
grade_3 | integer | — | 0% | 06455 |
grade_4 | integer | — | 0% | 06452 |
grade_5 | integer | — | 0% | 05892 |
grade_6 | integer | — | 0% | 09061 |
grade_7 | integer | — | 0% | 09288 |
grade_8 | integer | — | 0% | 08660 |
grade_9 | integer | — | 0% | 0113103 |
grade_10 | integer | — | 0% | 093111 |
grade_11 | integer | — | 0% | 08883 |
grade_12 | integer | — | 0% | 08782 |
female | integer | — | 0% | 153169137 |
female_1 | float | — | 0% | 0.4880.50.496 |
male | integer | — | 0% | 0171187 |
male_1 | float | — | 0% | 0.5120.50.509 |
asian | integer | — | 0% | 213 |
asian_1 | float | — | 0% | 0.00.0090.004 |
black | integer | — | 0% | 13811 |
black_1 | float | — | 0% | 0.0130.0110.004 |
hispanic | integer | — | 0% | 8753105 |
hispanic_1 | float | — | 0% | 0.150.2950.115 |
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% | 432 |
white_1 | float | — | 0% | 0.0110.010.016 |
missing_race_ethnicity_data | integer | — | 0% | 012 |
missing_race_ethnicity_data_1 | float | — | 0% | 0.00.0020.003 |
students_with_disabilities | integer | — | 0% | 917473 |
students_with_disabilities_1 | float | — | 0% | 1.00.2150.188 |
english_language_learners | integer | — | 0% | 02111 |
english_language_learners_1 | float | — | 0% | 0.00.040.033 |
poverty | text | — | 0% | Above 95%278215 |
poverty_1 | text | — | 0% | Above 95%87.3%92.5% |
economic_need_index | text | — | 0% | Above 95%87.2%90.9% |