Larger NYC parks (generally >20 acres) are subdivided into smaller sections that make inspecting these parks feasible and efficient. These sections are called "zones." The size and boundaries usually conform to one or more of the following criteria: Zones should be inspectable in 1-2 hours; zone boundaries should follow the park’s features (paths, tree lines, etc) whenever possible; and/or conform to pre-existing boundaries used to divide the park for maintenance; and/or define a cohesive area within the park (ballfields, wooded areas, etc). Besides zones, this layer contains a handful of Sitting Areas that are part of larger parks but could not be defined as zones due to their smaller size.
Monthly report including weekly total dispatched trips and unique dispatched vehicles by base tabulated from FHV Trip Record submissions made by bases. Note: The TLC publishes base trip record data as submitted by the bases, and we cannot guarantee or confirm their accuracy or completeness. Therefore, this may not represent the total amount of trips dispatched by all TLC-licensed bases. The TLC performs routine reviews of the records and takes enforcement actions when necessary to ensure, to the extent possible, complete and accurate information.
NYC 1foot Digital Elevation Model:
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.
This dataset is updated on the third week of each month.
• Parking Violations Issued Fiscal Year 2018 can be found here • Parking Violations Issued Fiscal Year 2017 can be found here • Parking Violations Issued Fiscal Year 2016 can be found here • Parking Violations Issued Fiscal Year 2015 can be found here • Parking Violations Issued Fiscal Year 2014 can be found here
NYCDOT's Traffic Management Center (TMC) maintains a map of traffic speed detectors throughout the City. The speed detector themselves belong to various city and state agencies. The Traffic Speeds Map is available on the DOT's website (http://nyctmc.org/ ). This data feed contains 'real-time' traffic information from locations where NYCDOT picks up sensor feeds within the five boroughs, mostly on major arterials and highways. NYCDOT uses this information for emergency response and management.
A Certificate of Occupancy (CO) states a building’s legal use and/or type of permitted occupancy. New buildings must have a CO, and existing buildings must have a current or amended CO when there is a change in use, egress or type of occupancy. No one may legally occupy a building until the Department has issued a Certificate of Occupancy or Temporary Certificate of Occupancy. The Department issues a final Certificate of Occupancy when the completed work matches the submitted plans for new buildings or major alterations. It issues a Letter of Completion for minor alterations to properties. These documents confirm the work complies with all applicable laws, all paperwork has been completed, all fees owed to the Department have been paid, all relevant violations have been resolved and all necessary approvals have been received from other City Agencies.
This dataset contains all Certificates of Occupancy issued since 7/12/12.
Population Numbers By New York City Neighborhood Tabulation Areas
The data was collected from Census Bureaus' Decennial data dissemination (SF1).
Neighborhood Tabulation Areas (NTAs), are aggregations of census tracts that are subsets of New York City's 55 Public Use Microdata Areas (PUMAs). Primarily due to these constraints, NTA boundaries and their associated names may not definitively represent neighborhoods.
This report shows change in population from 2000 to 2010 for each NTA.
Compiled by the Population Division – New York City Department of City Planning.
Every year, all parents, all teachers, and students in grades 6 - 12 take the NYC School Survey. The survey ranks among the largest surveys of any kind ever conducted nationally.
Survey results provide insight into a school's learning environment and contribute a measure of diversification that goes beyond test scores on the Progress Report. NYC School Survey results contribute 10% - 15% of a school's Progress Report grade (the exact contribution to the Progress Report is dependant on school type). Survey questions assess the community's opinions on academic expectations, communication, engagement, and safety and respect. School leaders can use survey results to better understand their own school's strengths and target areas for improvement.
The NYC School Survey helps school leaders understand what key members of the school community say about the learning environment at each school. The information captured by the survey is designed to support a dialogue among all members of the school community about how to make the school a better place to learn.
New York City parents, students, and teachers reached new all-time participation highs on the 2011 School Survey. 960,191 surveys were submitted.
The Department of Housing Preservation and Development (HPD) reports on buildings, units, and projects that began after January 1, 2014 and are counted towards the Housing New York plan. The Housing New York Units by Building file presents this data by building, and includes building-level data, such as house number, street name, BBL, and BIN for each building in a project. The unit counts are provided by building. For additional documentation, including a data dictionary, review the attachments in the “About this Dataset” section of the Primer landing page.
The following companies have been issued trade waste removal licenses by the Business Integrity Commission and, therefore, are authorized to collect and remove all types of trade waste covered by Local Law 42 of 1996.
"This data is collected on the entities that apply with the commission to operate as Licensees.
Each record represents an entity that is approved to operate in the City of New York by the Commission.
The Application Type field denotes the class of application 'License' noting the type of applicant which is a Licensee. They are able to pickup all trade waste from various businesses throughout the city.
The BIC Number field is unique to every company that applies to the Commission. "
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.
Pursuant to New York City’s Housing Maintenance Code, the Department of Housing
Preservation and Development (HPD) collects registration information from owners of
residential rental units. Owners are required to register if they own residential buildings
with three or more units or if they own one- or two-family homes and neither they nor
members of their immediate family live there. Registrations are required upon taking
ownership of a qualifying building, and once a year thereafter.