Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

2010 Natural Gas consumption in therms and GJ, by ZIP code, building type, and utility company.

Energy audit data for privately owned buildings larger than 50,000 ft2, submitted by property owners in compliance with Local Law 87 of 2009. This data includes equipment inventory and recommended Energy Conservation Measures (ECMs) for base building systems: the building envelope, HVAC systems, elevators and escalators, domestic hot water supply, and electrical and lighting systems. This data does not include equipment owned by tenants or used for industrial processes within the building. This data represents energy audits collected between 2012 and 2018 using the City’s original, MS Excel-based, Energy Efficiency Report tool.

New York City’s Municipal Separate Storm Sewer System (MS4) Stormwater Management Program is a multiagency effort led by the Department of Environmental Protection (DEP) to reduce pollution in stormwater runoff in the MS4 Area of NYC. This MS4 Map represents the known MS4 outfalls and drainage areas as of August 1, 2020 and provides additional data relevant to the MS4 Permit. The MS4 map only shows areas draining to the Municipal Separate Storm Sewer System. DEP also maintains combined sewer and sanitary sewer systems; these service area delineations are not represented on this map. More information about the MS4 Stormwater Management Program is available at www.nyc.gov/dep/ms4

A 6-in resolution 8-class land cover dataset derived from the 2017 Light Detection and Ranging (LiDAR) data capture. This dataset was developed as part of an updated urban tree canopy assessment and therefore represents a ''top-down" mapping perspective in which tree canopy overhanging features is assigned to the tree canopy class. The eight land cover classes mapped were: (1) Tree Canopy, (2) Grass\Shrubs, (3) Bare Soil, (4) Water, (5) Buildings, (6) Roads, (7) Other Impervious, and (8) Railroads. The primary sources used to derive this land cover layer were 2017 LiDAR (1-ft post spacing) and 2016 4-band orthoimagery (0.5-ft resolution). Object based image analysis was used to automate land-cover features using LiDAR point clouds and derivatives, orthoimagery, and vector GIS datasets --
City Boundary (2017, NYC DoITT)
Buildings (2017, NYC DoITT)
Hydrography (2014, NYC DoITT)
LiDAR Hydro Breaklines (2017, NYC DoITT)
Transportation Structures (2014, NYC DoITT)
Roadbed (2014, NYC DoITT)
Road Centerlines (2014, NYC DoITT)
Railroads (2014, NYC DoITT)
Green Roofs (date unknown, NYC Parks)
Parking Lots (2014, NYC DoITT)
Parks (2016, NYC Parks)
Sidewalks (2014, NYC DoITT)
Synthetic Turf (2018, NYC Parks)
Wetlands (2014, NYC Parks)
Shoreline (2014, NYC DoITT)
Plazas (2014, NYC DoITT)
Utility Poles (2014, ConEdison via NYCEM)
Athletic Facilities (2017, NYC Parks)

For the purposes of classification, only vegetation > 8 ft were classed as Tree Canopy. Vegetation below 8 ft was classed as Grass/Shrub.

To learn more about this dataset, visit the interactive "Understanding the 2017 New York City LiDAR Capture" Story Map -- https://maps.nyc.gov/lidar/2017/
Please see the following link for additional documentation on this dataset -- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_LandCover.md

This data is collected annually via EPA Portfolio Manager.

The data collection requires building owners to measure their energy and water consumption and compare it against that of similar buildings in the city and country.

The data is useful for policy analysts as it provides transparency into energy and water consumption for the city's largest buildings.

Please visit https://www1.nyc.gov/site/buildings/codes/benchmarking.page for additional information.

This is the 100-Year Floodplain for the 2050s based on FEMA's Preliminary Work Map data and the New York Panel on Climate Change's 90th Percentile Projects for Sea-Level Rise (31 inches). Please see the Disclaimer PDF for more information. Data Provided by the Mayor's Office of Long-Term Planning and Sustainability (OLTPS) on behalf of CUNY Institute for Sustainable Cities (CISC) and the New York Panel on Climate Change (NPCC).

List of Certified Asbestos Investigators (CAI)

Geographic location of lead water service lines.

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.

Planimetric basemap layer containing hydrography.
Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.

NYCDEP Citywide Catch Basins

Local Law 84 of 2009 (LL84) requires annual energy and water benchmarking data to be submitted by owners of buildings with more than 50,000 square feet. This data is collected via the Environmental Protection Agency's (EPA) Portfolio Manager website

Each property is identified by it's EPA assigned property ID, and can contain one or more tax lots identified by one or more BBLs (Borough, Block, Lot) or one or more buildings identified by one or more building identification numbers (BIN)

Please visit DOB's Benchmarking and Energy Efficiency Rating page
for additional information.

Energy data from a select portfolio of City-owned buildings (DOE)

Record of Forestry planting spaces for NYC Parks & Recreation.

Tree Points and Planting Spaces form the basis of ForMS 2.0’s data inventory and are the core entities that all Service Requests, Inspections, and Work Orders are associated to. The system has built-in rules to ensure that every Tree Point has a Planting Space and each Planting Space can have no more than one active Tree Point at a given time. Locations that have had one tree removed and another tree replanted will appear in ForMS 2.0 as a single Planting Space associated with one retired Tree Point (that has a removal Work Order) and one active Tree Point.

User guide: https://docs.google.com/document/d/1PVPWFi-WExkG3rvnagQDoBbqfsGzxCKNmR6n678nUeU/edit?usp=sharing

Data dictionary: https://docs.google.com/spreadsheets/d/1yMfZgcsrvx9M0b3-ZdEQ3WCk2dFxgitCWytTrJSwEAs/edit?usp=sharing

Citywide street tree data from the 1995 Street Tree Census, conducted by volunteers organized by NYC Parks & Recreation. Trees were inventoried by address, and were collected from 1995-1996. Data collected includes tree species, diameter, condition.

Data collected to fulfill the requirements of the SWTR (Surface Water Treatment Rule) and FAD (Filtration Avoidance Determination). Data is collected via grab sampling, analysis, LIMS data capture and reporting. Each record represents either a four hour turbidity result, a 24 hour average turbidty result, or a daily fecal coliform result from DEL18DT (Delaware Shaft 18 downtake). Data is used to monitor compliance with the requirements above. There are no limitations for the data.

Planimetric basemap layer containing pavement edge features. Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.

A list of locations where NYC residents can drop off unwanted electronics. It's illegal in New York State to include electronic devices with trash or recycling. For more information on how to handle unwanted electronics in NYC, see: https://www.nyc.gov/site/dsny/collection/get-rid-of/electronics.page.

Citywide street tree data from the 2005 Street Tree Census, conducted partly by volunteers organized by NYC Parks & Recreation. Trees were inventoried by address, and were collected from 2005-2006. Data collected includes tree species, diameter, condition.

The DEP Application and Permit data will contain information about the different types of applications approved and permits issued on a regular basis. For the latest information, please refer to the Water and Sewer Permits dataset.

Tree Canopy (TC) Assessment metrics for New York City. This dataset consists of TC metrics summarized to several different sets of geographic base layers. The metrics presented in this table are based on 2010 high resolution land cover dataset.

The TC Assessment is a top-down approach to analyzing the forest. Its purpose is to integrate high resolution land cover data with other GIS datasets to produce a set of detailed metrics on the forest that allow decision makers to know how much tree canopy currently exists (termed Existing TC) and amount of land where is it biophysically feasible to establish tree canopy on (termed Possible TC).

Existing TC is determined by extracting all features classified as tree canopy from a high resolution land cover dataset. Possible TC is determined by identifying land where canopy could possibly exist. Possible TC in a GIS context is determined by overlaying high resolution land cover with cadastral and planimetric datasets to include building polygons and road polygons.

Possible TC is queried out from this overlay and consists of all land that was not existing canopy, not water, not a building, and not a road. Possible TC is further divided into two subcategories: Possible-impervious and Possible-vegetation. Possible-impervious consists of all impervious land that, through modification, could support tree canopy. Examples of such features are parking lots, driveways (through overhanging coverage) and playgrounds. Possible-vegetation consists of all land that is low-lying vegetation, primarily grass or shrubs, which could conceivably be converted to support tree canopy. Examples of such features include residential lawns and playing fields. TC metrics do not serve to address the issues of where it is socially desirable or financially feasible to plant trees. Rather, the TC metrics serve as the basis for beginning to form answers to these questions.

TC metrics are presented in the attribute table as both absolute area (in map units) and relative area (percentage of land area) per parcel. For example, an Existing TC Area (TC_E_A) value of 13,677 and an Existing TC Percentage (TC_E_P) of 21.8 indicate that for the parcel in question the area of Existing TC is 13,677 (in map units) and 21.8% of that feature is tree canopy. This assessment was completed by the University of Vermont's Spatial Analysis Laboratory with funding from National Urban and Community Forestry Advisory Council (NUCFAC) and the National Science Fundation (NSF) and in cooperation with the USDA Forest Service's Northern Research Station.

The TC Assessment protocols were developed by the USDA Forest Service's Northern Research Station and the University of Vermont's Spatial Analysis Laboratory in collaboration with the Maryland Department of Natural Resources. TC assessments have been conducted for numerous communities throughout the U.S. where the results have been instrumental in helping to establishing TC goals.

This data set contains information and locations of (E) Designations, including CEQR Environment Requirements (Table 1) and CEQR Restrictive Declarations (Table 2), in Appendix C of the Zoning Resolution. An (E) Designation provides notice of the presence of an environmental requirement pertaining to potential hazardous materials contamination, high ambient noise levels or air emission concerns on a particular tax lot.

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

Locations where NYC residents can drop off their food scraps to be composted. For more information, visit https://www.nyc.gov/site/dsny/collection/residents/food-scrap-drop-off.page.

GIS data: A waterfront access plan (WAP) is a specific plan, set forth in the Zoning Resolution that tailors waterfront bulk regulations and public access requirements to the specific conditions of a particular waterfront area.

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive