Aggregate statistics for all registered storefront by identified geographic boundaries (Citywide, Borough, Council District, Census Tract)

Directory of Toilets in Public Parks

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.

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

Location and facility information for places in New York City providing seasonal flu vaccinations.

Directory of Department of Education High Schools in 2020.

FAQ about applying for housing at NYCHA

NOTE: This dataset reflects data as of 7/21/2023. The Department of Consumer and Worker Protection (DCWP) is working on an updated version of this dataset.

This dataset features consumer complaints against businesses that were mediated by the DCWP Consumer Services Division during the last and current calendar years. It excludes complaints that may have ongoing legal investigations.

Each record is either an individual drinking fountain or multiple drinking fountains that are attached to each other. NYC Parks created the dataset using collector for arcgis. All outdoor drinking fountains in parks were collected and a rigorous QA/QC process followed. In addition to the GPS coordinates the dataset includes descriptions of its physical environment and attributes about the drinking fountain itself.

User guide: https://drive.google.com/open?id=1whu6gzwBbinNuoBx6FLpaaGOy4cdecOrjRdJEsHwJn8

Data Dictionary: https://drive.google.com/open?id=1s7VSUHDJsGcHNghzllmdFgdwEMX2Zps_ygqSMMzfVgo

Outdoor advertising regulations and zoning laws reduce visual clutter and protect people from dangerous and illegally installed signs. Signs must comply with regulations outlined in the NYC Construction Codes and the NYC Zoning Resolution. This dataset lists all sign applications filed in New York City.

LinkNYC is replacing the City’s outdated public telephones with a network of kiosks that provide free high-speed Wi-Fi, nationwide calling, a dedicated 911 button, charging ports for mobile devices, and access to selected websites. This dataset contains data on how the LinkNYC kiosks are being used, including numbers of users, number of Wi-Fi sessions, amount of data transmitted, and other information.

NOTE: The source database for this dataset has been decommissioned. No new data will be added to this dataset.

This dataset contains active violation orders given by the Bureau of Fire Prevention. This dataset does not contain Violation Orders given by fire companies, or any Notices of Violation. For data on Notices of Violation, please refer to datasets provided by the Office of Administrative Trials and Hearings (OATH).

Directory of Department of Education Schools in 2018.

Topographic and bathymetric LiDAR data was collected for New York City in 2017. Topographic data was collected for the entire city, plus an additional 100 meter buffer, using a Leica ALS80 sensor equipped to capture at least 8 pulse/m². Dates of capture for topographic data were between 05/03/2017 and 05/17/2017 during 50% leaf-off conditions. Bathymetric data was collected in select areas of the city (where bathymetric data capture was expected) using a Riegl VQ-880-G sensor equipped to capture approximately 15 pulses/m² (1.5 Secchi depths). Dates of capture for bathymetric were between 07/04/2017 - 07/26/2017. LiDAR data was tidally-coordinated and captured between mean lower low water (+30% of mean tide) ranges.
The horizontal datum for all datasets is NAD83, the vertical datum is NAVD88, Geoid 12B, and the data is projected in New York State Plane - Long Island. Units are in US Survey Feet.
To learn more about these datasets, 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_LiDAR_Summary.md
The following datasets are available for download via the New York State GIS Clearinghouse.
The following links direct to the New York State website which includes links to download. Users may use the statewide interactive DEM download application to download specific areas of interest (hydroflattened DEM and classified point clouds only). Tile index for DEMs on the application correspond to tile indexes for hydro-enforced and digital surface models.

Document Remarks for Real Property Related Documents Recorded in ACRIS

Participatory Budgeting is a democratic process in which community members directly decide how to spend part of a public budget. Council Members choose to join Participatory Budgeting New York City (PBNYC), giving at least $1 million from their budget for the whole community to participate in decision-making. It’s a yearlong process of public meetings, to ensure that people have the time and resources to make informed decisions. Community members discuss local needs and develop proposals to meet these needs. Through a public vote, residents then decide which proposals to fund.

More info can be found at http://council.nyc.gov/pb/

Department of Finance (DOF) publishes a list of Building Classifications, associating Building Codes with Descriptions.

The New York City Places point file was created as a guide to New York City’s non-neighborhood place locations that appear in “New York: A City of Neighborhoods.” These place locations include parks, cemeteries, and airports.

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

Annualized sales file displays yearly sales information of properties sold in New York City.

Storefronts Reported Vacant or Not. The dataset was created to comply with Local Law 157 of 2019. Data is collected using an online portal, which allows owners to provide information about ground and second floor storefronts on their properties.

Each row shows a ground floor or second floor storefront that was registered with the department as of December 31 of the reporting year and legally required updates provided as of June 30 (or date sold if earlier) of the calendar year immediately following the reporting year. Each row contains the property's borough, block and lot number and the storefront's street address (and zip code), either field can be used to search for individual storefronts.

Record of Forestry tree points 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.

This dataset can be joined to the Forestry Planting Spaces dataset by joining PlantingSpaceGlobalID from Forestry Tree Points 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

These records are generated from the trip record submissions made by yellow taxi Technology Service Providers (TSPs). Each row represents a single trip in a yellow taxi. The trip records include fields capturing pick-up and drop-off dates/times, pick-up and drop-off taxi zone locations, trip distances, itemized fares, rate types, payment types, and driver-reported passenger counts.

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

Selected demographic and housing estimates data citywide and by borough. Five year estimates of population data from the Census Bureau's American Community Survey.

Daily listing (counts) of students registered, present, absent and released by School DBN.