From a 500-row sample across 31 columns.
incident_response_seconds_qyincident_datetimeincident_travel_tm_seconds_qy+13Has borough codes (`borough`) — joinable, but needs boundary shapes to draw.
| incident_id | incident_datetime | initial_call_type | initial_severity_level_code | final_call_type | final_severity_level_code | first_assignment_datetime | valid_dispatch_rspns_time_indc | dispatch_response_seconds_qy | first_activation_datetime | first_on_scene_datetime | valid_incident_rspns_time_indc |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 16975942 | 2005-01-01T00:00:24.000 | INJURY | 5 | INJURY | 5 | 2005-01-01T00:04:11.000 | Y | 227 | 2005-01-01T00:06:15.000 |
The machine field names SoQL needs, with the publisher's own description of each.
| Field | Type | Description | Null | Values |
|---|---|---|---|---|
incident_id | text | — | 0% | 169759431697594416975945 |
incident_datetime | datetime | — | 0% | 2009-05-28T10:54:55.0002024-09-04T15:25:19.0002015-01-03T20:15:02.000 |
initial_call_type | text | — | 0% | SICKINJURYEDP |
initial_severity_level_code | categorical | — | 0% | 245of 10 |
GET /api/datasets/76xm-jjuj GET /api/datasets/76xm-jjuj/quality GET /api/datasets/76xm-jjuj/related GET /api/columns?dataset=76xm-jjuj
| 2005-01-01T00:16:06.000 |
| Y |
| 16975943 | 2005-01-01T00:00:25.000 | OTHER | 6 | CVAC | 2 | 2005-01-01T00:17:13.000 | Y | 1008 | 2005-01-01T00:18:06.000 | 2005-01-01T00:37:21.000 | Y |
| 16975944 | 2005-01-01T00:00:43.000 | RESPIR | 4 | RESPIR | 4 | 2005-01-01T00:01:09.000 | Y | 26 | 2005-01-01T00:02:44.000 | 2005-01-01T00:08:03.000 | Y |
| 16975945 | 2005-01-01T00:00:37.000 | OBMIS | 4 | OBMIS | 4 | 2005-01-01T00:02:55.000 | Y | 138 | 2005-01-01T00:06:22.000 | 2005-01-01T00:06:50.000 | Y |
| 16975946 | 2005-01-01T00:00:58.000 | INJMIN | 7 | INJMIN | 7 | 2005-01-01T00:02:34.000 | Y | 96 | 2005-01-01T00:03:24.000 | 2005-01-01T00:19:48.000 | Y |
| 16975947 | 2005-01-01T00:01:06.000 | OBCOMP | 2 | OBCOMP | 2 | 2005-01-01T00:01:28.000 | Y | 22 | 2005-01-01T00:04:44.000 | 2005-01-01T00:06:23.000 | Y |
| 16975948 | 2005-01-01T00:01:03.000 | DRUG | 4 | DRUG | 4 | 2005-01-01T00:01:23.000 | Y | 20 | 2005-01-01T00:01:50.000 | 2005-01-01T00:08:27.000 | Y |
| 16975949 | 2005-01-01T00:01:11.000 | DIFFBR | 2 | DIFFBR | 2 | 2005-01-01T00:02:53.000 | Y | 102 | 2005-01-01T00:03:04.000 | 2005-01-01T00:05:22.000 | Y |
| 16975950 | 2005-01-01T00:01:19.000 | SICK | 6 | SICK | 6 | 2005-01-01T00:03:36.000 | Y | 137 | 2005-01-01T00:04:18.000 | 2005-01-01T00:14:24.000 | Y |
| 16975951 | 2005-01-01T00:01:29.000 | SEIZR | 6 | SEIZR | 6 | 2005-01-01T00:11:28.000 | Y | 599 | 2005-01-01T00:15:07.000 | 2005-01-01T00:26:33.000 | Y |
Showing 12 of 31 columns. All of them are listed below.
final_call_type |
| text |
| — |
| 0% |
SICKINJURYDIFFBR |
final_severity_level_code | categorical | — | 0% | 245of 8 |
first_assignment_datetime | datetime | — | 1% | 2019-09-09T15:11:02.0002014-10-30T08:09:13.0002007-08-29T15:27:47.000 |
valid_dispatch_rspns_time_indc | categorical | — | 0% | YNof 2 |
dispatch_response_seconds_qy | integer | — | 0% | 121113 |
first_activation_datetime | datetime | — | 1% | 2022-12-27T10:25:32.0002022-05-27T18:45:29.0002021-05-20T17:08:22.000 |
first_on_scene_datetime | datetime | — | 4% | 2023-10-30T10:43:33.0002023-10-28T12:50:53.0002023-08-23T12:56:14.000 |
valid_incident_rspns_time_indc | categorical | — | 0% | YNof 2 |
incident_response_seconds_qy | integer | — | 4% | 0347356 |
incident_travel_tm_seconds_qy | integer | — | 4% | 0313333 |
first_to_hosp_datetime | datetime | — | 32% | 2007-02-16T15:46:19.0002017-10-17T15:12:23.0002023-10-29T00:35:52.000 |
first_hosp_arrival_datetime | datetime | — | 33% | 2015-08-30T22:11:05.0002024-04-19T11:54:14.0002025-11-25T13:30:47.000 |
incident_close_datetime | datetime | — | 0% | 2022-11-30T01:40:00.0002023-12-06T01:30:00.0002023-05-16T01:30:00.000 |
held_indicator | categorical | — | 0% | NYof 2 |
incident_disposition_code | categorical | — | 0% | 829390of 17 |
borough | categorical | — | 0% | BROOKLYNMANHATTANBRONXof 6 |
incident_dispatch_area | text | — | 0% | B2K4B1 |
zipcode | text | — | 2% | 104561120711212 |
policeprecinct | integer | — | 2% | 754446 |
citycouncildistrict | integer | — | 2% | 3817 |
communitydistrict | integer | — | 2% | 305412111 |
communityschooldistrict | integer | — | 2% | 2109 |
congressionaldistrict | categorical | — | 2% | 15138of 13 |
reopen_indicator | categorical | — | 0% | NYof 2 |
special_event_indicator | categorical | — | 0% | NYof 2 |
standby_indicator | categorical | — | 0% | NYof 2 |
transfer_indicator | categorical | — | 0% | NYof 2 |