This dataset contains information about Park Opportunity Program (POP), a service offered by the Department of Parks and Recreation (DPR) aimed at getting New Yorkers in the workforce for six months to clean and green DPR’s parks, playgrounds and other facilities citywide. Each row in the dataset represents the number of public housing residents on a Borough-level who receive or utilize this service.

For datasets related to other services provided to NYCHA residents, view the data collection “Services available to NYCHA Residents - Local Law 163”.”

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.

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 shapefile is the dataset that underlies the historic MillionTreesNYC Adopt-a-Tree web mapping application. For up to date stewardship data see https://data.cityofnewyork.us/Environment/NYC-Street-Tree-Map-Stewardship-Activity/rnnj-5mmi.

Marinas in New York City Department of Parks & Recreation properties.

Directory of Skateparks

The New York City Water Trail connects New York City’s rivers, creeks, and waterways together for paddling enthusiasts. Use this data to find launch sites on the water trail for kayaks and other openwater rowing craft

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.

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.

High resolution land cover data set for New York City. This is the 3ft 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.

A public computing center (“PCC”) is a facility offering computers with internet access. It may also offer other devices, services, and digital literacy and digital skills programming, for example. A PCC may be funded in whole, or in part, with public dollars in order to provide a public service (i.e., access to digital inclusion resources). Some PCCs are open to the general public while others may have membership criteria such as age. As an inventory, and as feasible, OTI’s purpose was to collect, count, and map where and how the City supports this kind of public access to the internet.

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.

City, State, and Federally owned public parks and facilities that provide waterfront parkland and open space for public enjoyment, as shown on the Waterfront Access Map (WAM).

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.

List of public facilities offering computers with internet access, according to administrative data collected by the Mayor's Office of the Chief Technology Officer.

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.