This table is the primary table for information about work orders, and contains general information - including a description of the work, assigned title, request date and completion date - about each work order. Each row represents a single work order. The primary key field is EVT_CODE. The EVT_OBJECT field can be joined to the Assets table on OBJ_CODE to know which asset the work order was for.

For the User Guide, please follow this link
For the Data Dictionary, please follow this link

Current number of times a given tree has been marked as a favorite by registered users of the NYC Street Tree Map (nyc.gov/parks/treemap).

This dataset can be joined to the Forestry Tree Points dataset (https://data.cityofnewyork.us/Environment/Forestry-Tree-Points/k5ta-2trh) by joining the TreeId to OBJECTID from Forestry Tree Points.

Live data feed: https://www.nycgovparks.org/tree-map-feeds/favorite-trees.json

Properties remediated under OER's oversight, both in the E-Designation program and the NYC Voluntary Cleanup Program. Includes sites completed and in progress.

Playgrounds under NYC Parks jurisdiction

The Squirrel Census (https://www.thesquirrelcensus.com/) is a multimedia science, design, and storytelling project focusing on the Eastern gray (Sciurus carolinensis). They count squirrels and present their findings to the public. This table contains environmental data related to each of the 350 “countable” hectares of Central Park. Examples include weather, litter, animals sighted, and human density.

Historic land uses on lots that were vacant, privately owned, and zoned for manufacturing in 2009.  Information came from a review of several years of historical Sanborn maps over the past 100 years. 

When the SPEED 1.0 mapping application was created in 2009, OER had its vendor examine historic land use maps on vacant, privately-owned, industrially-zoned tax lots. Up to seven years of maps for each lot were examined, and information was recorded that indicated industrial uses or potential environmental contamination such as historic fill. Data for an additional 139 lots requested by community-based organizations was added in 2014. Each record represents the information from a map from a particular year on a particular tax lot at that time. Limitations of funding determined the number of lots included and entailed that not all years were examined for each lot.

Cryptosporidium and Giardia Analytical Results for Source Waters

Record of Forestry work orders for NYC Parks & Recreation.

Work Orders are used to record activities performed by Parks staff, contractors, other Agencies, or private entities in the case of permitted work. ForMS 2.0 requires that WOs can only be created from an Inspection, with the exception of a Debris Removal – Misc. Wood WO where the associated tree cannot always be determined.

This dataset can be joined to the Forestry Planting Spaces dataset by joining PlantingSpaceGlobalID from Forestry Work Orders to GLOBALID from Forestry Planting Spaces.

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

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://www1.nyc.gov/assets/dsny/site/services/electronics

Location of paths or trails in designated Forever Wild areas of NYC Parks.

At-the-tap samples tested for lead and copper

Annual tons of food scraps dropped off at Green Markets and nonprofit partners. Also includes deliveries of organics such as leaf and wood wastes to nonprofit partners. In FY 2021, DSNY suspended its collection of food scraps from Green Markets due to COVID and COVID-related budget cuts. In FY 2021, nonprofit partners started to haul their own organic material.

• For DSNY monthly tonnages collected curbside by DSNY vehicles, see: https://data.cityofnewyork.us/City-Government/DSNY-Monthly-Tonnage-Data/ebb7-mvp5.


• Visit https://www.nyc.gov/site/dsny/collection/residents/food-scrap-drop-off.pages for food scrap drop-off updates.


• For more information about NYC's organics collection programs, see: https://www.nyc.gov/site/dsny/collection/residents/curbside-composting.page.

The Squirrel Census (https://www.thesquirrelcensus.com/) is a multimedia science, design, and storytelling project focusing on the Eastern gray (Sciurus carolinensis). They count squirrels and present their findings to the public.

This table contains stories, observations, and notes written on tally sheets by Squirrel Sighters during the Census. Individual stories have been tagged with common story themes, such as “squirrel experience,” “park experience,” “dogs,” “other animals,” “accidental poems,” and “squirrels acting odd.”

This data set has been archived. This data set is now updated here: https://data.cityofnewyork.us/dataset/Greenstreets/vzj6-pcjy

Archived description: A comprehensive shapefile of all small planted areas defined and maintained as Greenstreets. These are separate and discreet from standard parks, whether on parks property or not. Retired sites are not included.

Botanical Gardens

Blockface data from the TreesCount! 2015 Street Tree Census, conducted by volunteers and staff organized by NYC Parks & Recreation and partner organizations. Blockface data includes tree counts and data collection status by block. Accompanying street tree data is available, indicating tree-level details such as tree species, size and other characteristics.

This is the 500-Year Floodplain for the 2020s based on FEMA's Preliminary Work Map data and the New York Panel on Climate Change's 90th Percentile Projects for Sea-Level Rise (11 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).

2010 steam consumption in mlbs and Mg, by ZIP code and building type.

Record of Forestry service requests for NYC Parks & Recreation.

Two-way integration with 311 is maintained in ForMS 2.0. Forestry related Service Requests (SRs) created by a 311 operator or submitted by the caller through either the 311 website, 311 phone app, or the Parks website stream into the system. Conversely, updates are sent from ForMS 2.0 to 311 when SRs are actioned.

Service Requests can be created directly in ForMS 2.0, however, it is important to note that they will NOT receive a 311 SEIBEL number or be visible in 311. Internally generated SRs should be used to track correspondence, commissioner, or other requests that do not originate from 311.

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

This report includes updated changes in extreme events (e.g., hot days, days with heavy rainfall, heat waves) for the 2030s, 2050s and 2080s; and sea level rise projections for the 2030s, 2050s, 2080s, 2100 and 2150 for the New York City region, based on those developed for the IPCC 6th Assessment report. The sea level rise projections are based on the CMIP6 models and SSP framework, and also incorporate advances in process understanding, improved and lengthened observational records, and improved ice-sheet modeling.

The New York City Panel on Climate Change (NPCC) started in 2009 and was codified in Local Law 42 of 2012 with a mandate to provide an authoritative and actionable source of scientific information on future climate change and its potential impacts.

The Intergovernmental Panel on Climate Change (IPCC) is the United Nations body for assessing the science related to climate change.

Work orders associated with a CSR complaints

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.

6 inch resolution raster image of New York City, classified by landcover type.

High resolution land cover data set for New York City. This is the 6 inch version of the high-resolution land cover dataset for New York City. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at 3 square feet. The primary sources used to derive this land cover layer were the 2010 LiDAR and the 2008 4-band orthoimagery. Ancillary data sources included GIS data (city boundary, building footprints, water, parking lots, roads, railroads, railroad structures, ballfields) provided by New York City (all ancillary datasets except railroads); UVM Spatial Analysis Laboratory manually created railroad polygons from manual interpretation of 2008 4-band orthoimagery. The tree canopy class was considered current as of 2010; the remaining land-cover classes were considered current as of 2008. Object-Based Image Analysis (OBIA) techniques were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. More than 35,000 corrections were made to the classification. Overall accuracy was 96%. This dataset was developed as part of the Urban Tree Canopy (UTC) Assessment for New York City. As such, it represents a 'top down' mapping perspective in which tree canopy over hanging other features is assigned to the tree canopy class. At the time of its creation this dataset represents the most detailed and accurate land cover dataset for the area. This project was funded by National Urban and Community Forestry Advisory Council (NUCFAC) and the National Science Fundation (NSF), although it is not specifically endorsed by either agency. The methods used were developed by the University of Vermont Spatial Analysis Laboratory, in collaboration with the New York City Urban Field Station, with funding from the USDA Forest Service.

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

The Flood Vulnerability Index (FVI) assesses the distribution of vulnerability to flooding across NYC in order to guide flood resilience policies and programs. Vulnerability contains three components: exposure to a hazard, susceptibility to harm from the exposure, and capacity to recover (Cutter et al., 2009). There are six hazard-specific FVIs, one for each of the six different flood hazard scenarios, which include current and two future storm surge scenarios and current and two future tidal flooding scenarios. Exposures vary for different types of flooding and different scenarios within each flood type.

Each FVI consists of two component sub-indices: an exposure index and an index that reflects susceptibility to harm and capacity to recover. The exposure index is different in each FVI in order to capture the different exposures to each of the flood hazard scenarios. The sub-index that reflects susceptibility to harm and capacity to recover -- the Flood Susceptibility to Harm and Recovery Index (FSHRI) -- is the same for each FVI. It aggregates 12 socio-economic indicators correlated with various types of hardships that people may suffer due to flooding and different dimensions of ability to recover.

For additional information, please visit this link.