Summary of DBP Quarterly Report

33c5-b922Environment11 columns

The data tables summarizes the disinfection by-product results for TTHM and HAA5 from distribution sites and calculated compliance values for each quarter (a) : analyzed by EPA Method 524.3 (b) : analyzed by EPA Method 552.3 LRAA: The Locational Running Annual Average (LRAA) is calculated by taking the value of this quarter and the three previous consecutive quarters. RAA: The System-wide Running Annual Average (RAA) is calculated by taking the average of the Quarterly Average of this quarter and the three previous consecutive quarters. OEL: The Operational Evalution Level (OEL) is calculated by averaging 2 times this quarter's value and the two previous consecutive quarters. Both the LRAA and the System-wide RAA is not to exceed 80 µg/L for TTHM and 60 µg/L for HAA5.

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Quality

B89.2 / 100

From a 500-row sample across 11 columns.

completeness100/ 25% weight

consistency55/ 20% weight

accuracy97/ 20% weight

timeliness99/ 15% weight

usability95/ 20% weight

Related datasets

Drinking Water Quality Distribution Monitoring Data0.34
joins onsample_date
Watershed Water Quality Data0.34
joins onsite
Water and Sewer Permits0.31
DSNY Special Waste Drop-off Sites0.29
Air Quality and Health Impacts0.28
Historic Land Use Data0.27
New York City's Flood Vulnerability Index0.27

Sample rows

site	location	sample_date	analysis_date_tthm_g_l_a	result_tthm_g_l_a	lraa_tthm_g_l_a	oel_tthm_g_l_a	analysis_date_haa5_g_l_b	result_haa5_g_l_b	lraa_haa5_g_l_b	oel_haa5_g_l_b
15150	SS - E/S Grand Concourse, 1st SS S/O E 171st St, IFO 1420 Grand Concourse, 12"	2026-08-04T00:00:00.000	2026-08-04T00:00:00.000	34	31	32	2026-08-07T00:00:00.000	26	35	32
18650

Columns

11 queryable · 11 profiled

The machine field names SoQL needs, with the publisher's own description of each.

Field	Type	Description	Null	Values
`site`	integer	—	0%	`508507765033450`
`location`	text	—	0%	`SS - E/S Woodhull Ave, 1…SS - IFO 116 E/S Ave C, …SS - IFO 218 W/S Nichola…`
`sample_date`	datetime	—	0%	`2015-05-05T00:00:00.0002017-11-08T00:00:00.0002021-08-03T00:00:00.000`
`analysis_date_tthm_g_l_a`	datetime	—	0%	`2015-05-05T00:00:00.000`

Query this from your own app

GET /api/datasets/33c5-b922
GET /api/datasets/33c5-b922/quality
GET /api/datasets/33c5-b922/related
GET /api/columns?dataset=33c5-b922