A table containing physical ID (a unique street segment identifier) and the date/time with which it was last associated with a GPS signal emitted by a DSNY snow clearing vehicle. Click here to download the data dictionary. Click here to visit the PlowNYC website.
Basic usage guidelines: To determine the relationship between “PHYSICAL_ID” and street segment, download the city street centerline dataset and join the two datasets on “PHYSICAL_ID” (PlowNYC) to “physicalid” (CSCL). To identify the PHYSYCAL_ID of one specific street segment, you can click the “Navigate to location” button on the top left of the NYC Street Centerline Map, enter a specific address, and click the blue line associated with the street. You can then enter this number into the PHYSICAL_ID search card below to see all associated entries.
This Data is provided for informational purposes only. You may find that weather conditions, construction projects, closures, or other events may cause actual conditions to differ from the Data. Moreover, the Data may contain inaccurate or incomplete information due to the passage of time, changing circumstances, sources used and the nature of collecting comprehensive information, any of which may lead to incorrect results. Accordingly, you should exercise good judgement and common sense in your use of this Data.
Dataset notating the approved wholesale market companies in the various markets BIC regulates.
This data is collected on the entities that apply with the Commission to operate as wholesale market companies throughout the City of New York
Each record represents an entity that is approved to operate in the City of New York by the Commission.
The BIC Number field is unique to every company that applies to the Commission. For wholesale market companies, the beginning letters indicate the market for which the company is located:
HPA - Hunts Point Adjacent Area
HPP - Hunts Point Product Market
HPM - Hunts Point Meat Market
FFM - Hunts Point Fulton Fish Market
GMM - Gansevoort Meat Market
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 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).
This dataset contains boundaries and associated attribute information for all designated historic districts or areas under consideration for historic district designation (i.e. calendared) by the New York City Landmarks Preservation Commission (LPC), including items that may have been denied designation or overturned. Please note that some areas may have multiple records in the database if different actions were taken over time. Please pay close attention to the "CURRENT" and "LAST_ACTION_ON_BOUNDARY" fields to determine the status of a particular area. The geographic locations of the polygons in this dataset are derived primarily from the Department of City Planning's PLUTO dataset, and therefore discrepancies may arise where the LPC dataset has not been updated with information from the most recent PLUTO releases. Please pay close attention to the field descriptions present in the file's metadata to understand how to use this dataset. And please contact LPC if there are questions or concerns
Every January, Finance mails New York City property owners a Notice of Property Value (NOPV). This important notice has information about your property’s market and assessed values. Finance determines your property’s value every year, according to State law. The Cityʼs property tax rates are applied to the assessed value to calculate your property taxes for the next tax year. You get your first tax bill for the year in June. If you believe the values or property descriptions on the NOPV are not correct.
This dataset provides benefit, program, and resource information for over 40 health and human services available to NYC residents. The data is kept up-to-date, including the most recent applications, eligibility requirements, and application dates. Information in this dataset is used on ACCESS NYC and Growing Up NYC.
Citywide raster files of annual average predicted surface for nitrogen dioxide (NO2), fine particulate matter (PM2.5), black carbon (BC), and nitric oxide (NO); summer average for ozone (O3) and winter average for sulfure dioxide (SO2).
Description: Annual average predicted surface for nitrogen dioxide (NO2), fine particulate matter (PM2.5), black carbon (BC), and nitric oxide (NO); summer average for ozone (O3) and winter average for sulfure dioxide (SO2). File type is ESRI grid raster files at 300 m resolution, NAD83 New York Long Island State Plane FIPS, feet projection. Prediction surface generated from Land Use Regression modeling of December 2008- December 2015 (years 1-7) New York Community Air Survey monitoring data.As these are estimated annual average levels produced by a statistical model, they are not comparable to short term localized monitoring or monitoring done for regulatory purposes. For description of NYCCAS design and Land Use Regression Modeling process see: http://www1.nyc.gov/assets/doh/downloads/pdf/environmental/comm-air-survey-08-14.pdf