From a 500-row sample across 38 columns.
male_1grade_7grade_11+23male_1grade_7grade_11+21male_1grade_7grade_11+21| year | dbn | school_name | total_enrollment | grade_pk | grade_k | grade_1 | grade_2 | grade_3 | grade_4 | grade_5 | grade_6 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | 08X333 | P.S. 333 - The Museum School | 418 | 17 | 54 | 88 | 72 | 52 | 65 | 70 | 0 |
| 2015-16 | 10X315 | P.S. 315 Lab School |
The machine field names SoQL needs, with the publisher's own description of each.
| Field | Type | Description | Null | Values |
|---|---|---|---|---|
year | categorical | — | 0% | 2015-162014-152013-14of 6 |
dbn | text | — | 0% | 09X51728Q17526Q495 |
school_name | text | — | 0% | P.S. 253P.S. 212P.S. 360 |
total_enrollment | integer | — | 0% | 516401428 |
grade_pk | integer | — |
GET /api/datasets/2pmj-y4p4 GET /api/datasets/2pmj-y4p4/quality GET /api/datasets/2pmj-y4p4/related GET /api/columns?dataset=2pmj-y4p4
male_1grade_7grade_11+21male_1grade_7grade_11+31male_1grade_7grade_11+23male_1grade_7grade_11+21male_1grade_7grade_11+21| 280 |
| 0 |
| 21 |
| 25 |
| 32 |
| 32 |
| 32 |
| 30 |
| 31 |
| 2015-16 | 31R005 | P.S. 005 Huguenot | 256 | 0 | 47 | 68 | 33 | 42 | 40 | 26 | 0 |
| 2015-16 | 07X224 | P.S./I.S. 224 | 367 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 118 |
| 2015-16 | 08X335 | The Academy of the Arts | 282 | 18 | 46 | 49 | 45 | 31 | 51 | 42 | 0 |
| 2015-16 | 09X252 | Mott Hall Bronx High School | 403 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2015-16 | 29Q132 | P.S. 132 Ralph Bunche | 381 | 36 | 77 | 50 | 53 | 61 | 53 | 51 | 0 |
| 2015-16 | 29Q134 | P.S. 134 Hollis | 436 | 30 | 70 | 73 | 53 | 80 | 71 | 59 | 0 |
| 2015-16 | 31R078 | P.S. 78 | 845 | 35 | 139 | 160 | 150 | 124 | 132 | 105 | 0 |
| 2015-16 | 14K120 | P.S. 120 Carlos Tapia | 429 | 52 | 76 | 62 | 55 | 59 | 69 | 56 | 0 |
Showing 12 of 38 columns. All of them are listed below.
| 0% |
03618 |
grade_k | integer | — | 0% | 05074 |
grade_1 | integer | — | 0% | 05056 |
grade_2 | integer | — | 0% | 06053 |
grade_3 | integer | — | 0% | 08288 |
grade_4 | integer | — | 0% | 08381 |
grade_5 | integer | — | 0% | 08969 |
grade_6 | integer | — | 0% | 05964 |
grade_7 | integer | — | 0% | 08460 |
grade_8 | integer | — | 0% | 08564 |
grade_9 | integer | — | 0% | 0115101 |
grade_10 | integer | — | 0% | 096105 |
grade_11 | integer | — | 0% | 07080 |
grade_12 | integer | — | 0% | 07776 |
female_1 | integer | — | 0% | 122181223 |
female_2 | float | — | 0% | 49.2049.3048.40 |
male_1 | integer | — | 0% | 0218176 |
male_2 | float | — | 0% | 50.8050.7051.60 |
asian_1 | integer | — | 6% | 120 |
asian_2 | float | — | 6% | 0.000.500.40 |
black_1 | integer | — | 1% | 112014 |
black_2 | float | — | 1% | 0.600.900.00 |
hispanic_1 | integer | — | 0% | 215022 |
hispanic_2 | float | — | 0% | 19.2010.1010.60 |
other_1 | integer | — | 11% | 012 |
other_2 | float | — | 11% | 0.000.300.50 |
white_1 | integer | — | 7% | 214 |
white_2 | float | — | 7% | 0.000.900.50 |
students_with_disabilities_1 | integer | — | 0% | 807475 |
students_with_disabilities_2 | float | — | 0% | 15.1018.5012.70 |
english_language_learners_1 | integer | — | 3% | 01314 |
english_language_learners_2 | float | — | 3% | 0.002.203.50 |
qualified_for_free_or_reduced_lunches_1 | integer | — | 18% | 352337328 |
qualified_for_free_or_reduced_lunches_2 | float | — | 18% | 100.0096.2095.50 |
poverty | integer | — | 82% | 368376458 |
poverty_2 | float | — | 82% | 100.0090.9085.70 |