This dataset contains alerts related to NYC OpenData datasets that have been reported and verified.

NYCDOT sets parking meter rates across the five boroughs to be reflective of individual neighborhood parking conditions such as land use, density, and parking demand. Individual rate zones are represented in this dataset by large geographic areas. NYCDOT provides this map for informational purpose only. Confirm the rate at the parking meter or on the ParkNYC app before paying and observe all posted signs.

Extensive land use and geographic data at the tax lot level in GIS format (ESRI Shapefile). Contains more than seventy fields derived from data maintained by city agencies, merged with tax lot features from the Department of Finance’s Digital Tax Map, clipped to the shoreline.

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

Locations of street light poles, traffic light poles and utility poles reserved by companies authorized by the New York City Department of Information Technology and Telecommunications for the potential installation of mobile telecommunications equipment.

This is a schedule of Medallion Taxicab initial inspections at the Taxi and Limousine Commission’s Safety and Emissions Facility. This information is also available with the Vehicle Inspection Report (VIR) provided at the time of your last inspection, or on the back of your rate card. Please note that this schedule is tentative and subject to change. This schedule is updated quarterly prior to January, May and September.

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.

Directory of Universal Pre-K (UPK) School Locations

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).

This three-dimensional (3-D) building massing model of New York City is one of the many digital tools provided by the Office of Technology and Innovation. There are three file formats available to download via the buttons below.

For more information on all the tools available, view the OTI's Digital Tools web page.

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.

The 311 Call Center Inquiry dataset contains information on all agent-handled calls to the City’s 311 information line, including date, time and topic.

Click here for the data dictionary.

This is a list of New York City municipal buildings over 10,000 square feet by borough, block, lot, and agency, identifying each building’s energy intensity (kBtu/sq. ft.), Portfolio Manager benchmarking rating, where available, and the total GHG emissions for the calendar years 2010 - 2013.

ACRIS Document Type and Class Code mappings for Codes in the ACRIS Real and Personal Property Master Datasets

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

As per Local Law 251 of 2017, the Open Data is required to include the following comprehensive information on each dataset on the Open Data Portal:

- Most recent update date;
- URL;
- Whether it complies with data retention standard (which mandates that row-level data be maintained on the dataset);
- Whether it has a data dictionary;
- Whether it meets the geocoding standard, does not meet the geocoding, or is ineligible for the geospatial standard;
- Whether updates to the dataset are automated;
- Whether updates to the dataset “feasibly can be automated”.
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For a list of all datasets that were included on all the NYC Open Data plans (2013-2021) and their current release status, please refer to NYC Open Data Release Tracker.

List of currently active infrastructure projects including description and high level schedule and budget range.

Party Names for Personal Property Related Documents Recorded in ACRIS

This dataset features business inspections conducted by DCWP. DCWP enforces key consumer protection, licensing, weights and measures, and workplace laws. In addition to patrol (routine) inspections at brick-and-mortar businesses, DCWP inspects licensed vehicles such as horse-drawn cabs, pedicabs, sightseeing buses, and tow trucks to ensure they are in compliance with their respective asset class requirements. DCWP also conducts 'Business Education' inspections, which are educational, violation-free visits. These visits are designed to help business owners learn about and comply with the laws that DCWP enforces.

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.

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

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.

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

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.

Directory of Toilets in Public Parks