NYC 1foot Digital Elevation Model:
A bare-earth, hydro-flattened, digital-elevation surface model derived from 2010 Light Detection and Ranging (LiDAR) data. Surface models are raster representations derived by interpolating the LiDAR point data to produce a seamless gridded elevation data set. A Digital Elevation Model (DEM) is a surface model generated from the LiDAR returns that correspond to the ground with all buildings, trees and other above ground features removed. The cell values represent the elevation of the ground relative to sea level. The DEM was generated by interpolating the LiDAR ground points to create a 1 foot resolution seamless surface. Cell values correspond to the ground elevation value (feet) above sea level. A proprietary approach to surface model generation was developed that reduced spurious elevation values in areas where there were no LiDAR returns, primarily beneath buildings and over water. This was combined with a detailed manual QA/QC process, with emphasis on accurate representation of docks and bare-earth within 2000ft of the water bodies surrounding each of the five boroughs.

Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_DigitalElevationModel.md

NYCDEP Citywide Catch Basins

Citywide Outfalls

A bare-earth, hydro-flattened, digital-elevation surface model derived from 2010 Light Detection and Ranging (LiDAR) data. Surface models are raster representations derived by interpolating the LiDAR point data to produce a seamless gridded elevation data set. A Digital Elevation Model (DEM) is a surface model generated from the LiDAR returns that correspond to the ground with all buildings, trees and other above ground features removed. The cell values represent the elevation of the ground relative to sea level. The DEM was generated by interpolating the LiDAR ground points to create a 1 foot resolution seamless surface. Cell values correspond to the ground elevation value (feet) above sea level. A proprietary approach to surface model generation was developed that reduced spurious elevation values in areas where there were no LiDAR returns, primarily beneath buildings and over water. This was combined with a detailed manual QA/QC process, with emphasis on accurate representation of docks and bare-earth within 2000ft of the water bodies surrounding each of the five boroughs.

NOTE: This file includes data for all 5 boroughs and has a size of 4.60 GB. Individual borough files are available for download from the metadata attachments section.

Citywide Geographic Information System (GIS) land cover layer that displays land cover classification, plus pervious and impervious area and percentage at the parcel level, separated into 5 geodatabases, one per borough. DEP hosted a webinar on this study on June 23, 2020. A recording of the webinar, plus a PDF of the webinar presentation, accompany this dataset and are available for download. Please direct questions and comments to DEP at imperviousmap@dep.nyc.gov.

This citywide parcel-level impervious area GIS layer was developed by the City of New York to support stormwater-related planning, and is provided solely for informational purposes. The accuracy of the data should be independently verified for any other purpose.

The City disclaims any liability for errors and makes no warranties express or implied, including, but not limited to, implied warranties of merchantability and fitness for a particular purpose as to the quality, content, accuracy or completeness of the information, text graphics, links and other items contained in this GIS layer.

A brief history of water consumption in the New York City Water Supply System (Based on New York City Census population)

NYC Green Infrastructure Program initiatives. Green infrastructure (GI) collects stormwater from streets, sidewalks, and other hard surfaces before it can enter the sewer system or cause local flooding. The GI practice data contained in this dataset includes the location, program area, status, and type of GI.

Please visit nyc.gov/dep/gimap to view the DEP Green Infrastructure Map.

In accordance with Title 40 Part 403.8(f) (2) (viii) of the Code of Federal Regulations and Title 15, Section 19-10 (g) of the Rules of the City of New York, the Department of Environmental Protection is required to publish a list of establishments in New York City that were in significant noncompliance with applicable pretreatment standards and other requirements during the previous 12 months. Significant noncompliance is defined in 40 CFR 403.8(f) (2) (viii). Below is an alphabetical listing of these establishments for the period from July 1, 2015 to June 30, 2016.

*These establishments are on the list for late reporting only.
†These establishments are Non-Significant Industrial Users.

The data tables provides annual statistics on how much land we own, acquired, and total protected lands in the water shed

NYCDEP Recreation Area Maps

Note:
WMU = New York State Department of Environmental Conservation Wildlife Management Unit. Hunters should verify the WMU is correct.
** Hunting by Bow only.
*** Hunting by Bow or Shotgun only.
**** Hunting for Deer only, and by Bow only.

Harbor water sampling information

List of Certified Asbestos Investigators (CAI)

Citywide Outfalls

NYC Parks' database of external capital projects affecting parkland.

Data Dictionary and User Guide: https://docs.google.com/spreadsheets/d/1Xx4yDs00L2ab8M4HH9GLTF47Fkt8oXDvr8WtSpTFsm8/edit?usp=sharing

IMPORTANT NOTICE: Searches using the search bar at the top of the dataset are currently not working and producing an error message. To search this data set, use the blue “Filter” function until this issue is resolved.

The OATH Hearings Division Case Status dataset contains information about alleged public safety and quality of life violations that are filed and adjudicated through the City’s administrative law court, the NYC Office of Administrative Trials and Hearings (OATH) and provides information about the infraction charged, decision outcome, payments, amounts and fees relating to the case. The summonses listed in this dataset are issued and filed at the OATH Hearings Division by City enforcement agencies.

This dataset captures how many voter registration applications each agency has distributed, how many applications agency staff sent to the Board of Elections, how many staff each agency trained to distribute voter registration applications, whether or not the agency hosts a link to voting.nyc on its website and if so, how many clicks that link received during the reporting period.

The OATH Trials Division dataset contains information about a diverse range of complex administrative law matters that are filed by city agencies, boards, and commissions and adjudicated by OATH Administrative Law Judges (ALJs) at the New York City Office of Administrative Trials and Hearings, Trials Division.

Such matters include civil service disciplinary and disability cases, city contract disputes, license revocation proceedings, prevailing wage proceedings, discrimination cases, loft law proceedings, Krimstock cases, where car owners seek return of vehicle seized during an arrest, campaign finance law and conflicts of interest law cases, alleged violations of consumer protection laws, and fair work week and paid sick leave laws.

The Trials Division dataset includes those closed cases where litigants appear before the Trials Division for trial and where an OATH Administrative Law Judge has issued a decision. By law or by agency rule, the OATH ALJ issues final decisions in Krimstock cases, contract disputes and most cases brought by the Department of Consumer Affairs. In all other cases, the OATH ALJ issues a recommended decision which is subject to final action and determination by the filing agency's Agency Head. If an appeal is filed, the dataset provides the date of the appeal action that occurs after the final determination.

This dataset contains the indicators included in the OneNYC 2050 Strategic Plan that will be used to assess progress in achieving the eight overreaching goals of the plan: (1) Vibrant Democracy; (2) Inclusive Economy; (3) Thriving Neighborhoods; (4) Healthy Lives; (5) Equity and Excellence in Education; (6) Livable Climate; (7) Efficient Mobility; and (8) Modern Infrastructure. Each line of data provides the goal, the relevant sub-initiative, the indicator, the baseline year and value for the indicator and the goal. Data is collected by the Mayor’s Office of Operations from the relevant agency.

This dataset provides key performance indicators for several agencies disaggregated by community district, police precinct, borough or school district. Each line of data indicates the relevant agency, the indicator, the type of geographic subunit and number, and full fiscal year data points. This data is submitted by the relevant agency to the Mayor’s Office of Operations on an annual basis and is available on Operations’ website.

For the latest available information, please refer to the Mayor's Management Report - Agency Performance Indicators dataset.