Data Collection
- HPD Local Law 44
- HPD Charge Data
- Verified Locations for NYC City-Funded Social Service Contracts
- NYC Parks Events
- Parks Inspection Program (PIP)
- DOB NOW: Electrical Permit Data
- DOT Street Construction Permits
- Asset Management Parks System (AMPS)
- Services available to NYCHA Residents - Local Law 163
- Forestry Management System (ForMS)
- 2018 Central Park Squirrel Census
- DOB NOW Elevator Permits Data
- Motor Vehicle Collisions
- COVID-19 Health Data
- NYC Parks Amenities Closure Status Due to COVID-19
- Vision Zero View Data
- NYC Parks Covid-19 Social Distancing and Enforcement
Agency
- (All)
- 311
- Administration for Children's Services (ACS)
- Alliance for Downtown New York
- Banking Commission
- Board of Correction (BOC)
- Board of Elections (BOENY)
- Board of Standards and Appeals (BSA)
- Bronx Borough President (BPBX)
- Brooklyn Borough President (BPBK)
- Brooklyn Public Library (BPL)
- Business Integrity Commission (BIC)
- Campaign Finance Board (CFB)
- City Clerk & Clerk of the Council (OCC)
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The Digital City Map (DCM) data represents street lines and other features shown on the City Map, which is the official street map of the City of New York. The City Map consists of 5 different sets of maps, one for each borough, totaling over 8000 individual paper maps. The DCM datasets were created in an ongoing effort to digitize official street records and bring them together with other street information to make them easily accessible to the public. The Digital City Map (DCM) is comprised of seven datasets; Digital City Map, Street Center Line, City Map Alterations, Arterial Highways and Major Streets, Street Name Changes (areas), Street Name Changes (lines), and Street Name Changes (points).
All of the Digital City Map (DCM) datasets are featured on the Streets App
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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The Digital City Map (DCM) data represents street lines and other features shown on the City Map, which is the official street map of the City of New York. The City Map consists of 5 different sets of maps, one for each borough, totaling over 8000 individual paper maps. The DCM datasets were created in an ongoing effort to digitize official street records and bring them together with other street information to make them easily accessible to the public. The Digital City Map (DCM) is comprised of seven datasets; Digital City Map, Street Center Line, City Map Alterations, Arterial Highways and Major Streets, Street Name Changes (areas), Street Name Changes (lines), and Street Name Changes (points).
All of the Digital City Map (DCM) datasets are featured on the Streets App
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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City Owned and Leased Property (COLP) – Table
City Owned and Leased Property (COLP) – Table
City Government
Table of city-owned and leased properties and uses. COLP is a comprehensive list of uses on city owned and leased properties that includes geographic information as well as the type of use, agency and other related information. Data was updated November 2018.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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Extensive land use and geographic data at the tax lot level in comma–separated values (CSV) file format. The PLUTO files contain more than seventy fields derived from data maintained by city agencies.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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This is a companion dataset to PLUTO and MapPLUTO. PLUTO and MapPLUTO are created using the best available data from a number of city agencies. To further improve data quality, the Department of City Planning (DCP) applies changes to selected field values. DCPEdited is set to “1” in PLUTO if the record contains any changed values.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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Community Development Block Grant (CDBG) Eligibility by Census Tract - CSV
Community Development Block Grant (CDBG) Eligibility by Census Tract - CSV
Housing & Development
Community Development Block Grant (CDBG) eligible and ineligible census tracts. The U.S. Department of Housing and Urban Development requires local municipalities that receive CDBG formula entitlement funds to use the 2011-2015 ACS LMISD data file to determine where CDBG funds may be used for activities that are available to all the residents in a particular area. A CD-eligible census tract refers to 2010 census tracts where the area is primarily residential and at least 51.0% of the residents are low- and moderate-income as per the LMISD data file. For New York City, a primarily residential area is defined as one where at least 50.0% of the total built floor area is residential as determined by PLUTO 18v2.1. Low- and moderate-income persons are defined as persons living in households with incomes below 80 percent of the area median household income (AMI). The New York Primary Metropolitan Statistical Area's AMI was $70,300 for a 4-person family at the release of the 2011-2015 American Community Survey. |
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Community Development Block Grant (CDBG) Eligibility by Census Tract - FGDB
Community Development Block Grant (CDBG) Eligibility by Census Tract - FGDB
Housing & Development
Community Development Block Grant (CDBG) eligible and ineligible census tracts. The U.S. Department of Housing and Urban Development requires local municipalities that receive CDBG formula entitlement funds to use the 2011-2015 ACS LMISD data file to determine where CDBG funds may be used for activities that are available to all the residents in a particular area. A CD-eligible census tract refers to 2010 census tracts where the area is primarily residential and at least 51.0% of the residents are low- and moderate-income as per the LMISD data file. For New York City, a primarily residential area is defined as one where at least 50.0% of the total built floor area is residential as determined by PLUTO 18v2.1. Low- and moderate-income persons are defined as persons living in households with incomes below 80 percent of the area median household income (AMI). The New York Primary Metropolitan Statistical Area's AMI was $70,300 for a 4-person family at the release of the 2011-2015 American Community Survey.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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Privately Owned Public Spaces (POPS) - Map
Privately Owned Public Spaces (POPS) - Map
City Government
Privately owned public spaces, also known by the acronym POPS, are outdoor and indoor spaces provided for public enjoyment by private owners in exchange for bonus floor area or waivers, an incentive first introduced into New York City’s zoning regulations in 1961. To find out more about POPS, visit the Department of City Planning's website at http://nyc.gov/pops. This database contains detailed information about each privately owned public space in New York City.
Data Source: Privately Owned Public Space Database (2018), owned and maintained by the New York City Department of City Planning and created in collaboration with Jerold S. Kayden and The Municipal Art Society of New York.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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Privately owned public spaces, also known by the acronym POPS, are outdoor and indoor spaces provided for public enjoyment by private owners in exchange for bonus floor area or waivers, an incentive first introduced into New York City’s zoning regulations in 1961. To find out more about POPS, visit the Department of City Planning's website at http://nyc.gov/pops. This database contains detailed information about each privately owned public space in New York City.
Data Source: Privately Owned Public Space Database (2018), owned and maintained by the New York City Department of City Planning and created in collaboration with Jerold S. Kayden and The Municipal Art Society of New York.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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The NYC 3D Model by Community District is a publicly available model consisting of every building in New York City present in 2014. The model is based on DOITT’s 2014 aerial survey, which provides roof structure details, including a high-level of detail for certain iconic buildings. The Department of City Planning imported and enhanced the DOITT files by converting the entire model into .3dm format, which is compatible with Rhinoceros 3D modeling software. DCP also divided the model into the City’s 59 Community Districts and enriched each CD with base layers, including lots, streets, parks, and rail lines.
The 3D model is capable of being imported into most common 3D-modeling software, including Sketchup and AutoCAD. |
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Designated Areas in M districts Appendix J
Designated Areas in M districts Appendix J
City Government
Designated Areas in M districts (shown in the maps of Appendix J in the Zoning Resolution) are areas where the development of new self-storage facilities are subject to restrictions. Designated areas in which self-storage facilities are subject to the as-of-right provisions of Section 42-121 are shown as Subarea 1, and those in which such use is subject to special permit of the City Planning Commission pursuant to Section 74-932 are shown as Subarea 2. |
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Demographic Profiles of ACS 5 Year Estimates at the Public Use Microdata Areas (PUMA) Level
Demographic Profiles of ACS 5 Year Estimates at the Public Use Microdata Areas (PUMA) Level
City Government
Four tables of ACS demographic profiles for 2012 to 2016 at the PUMA level. Four profiles include demographics, economic, housing and sociological.
Column headers in this database are abbreviated. Please see the data dictionary (shown in worksheet entitled “Dictionary”) for an explanation of these abbreviated headers. |
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Demographic Profiles of ACS 5 Year Estimates at the New York City and Borough Level
Demographic Profiles of ACS 5 Year Estimates at the New York City and Borough Level
City Government
Four tables of ACS demographic profiles for 2012 to 2016 at the New York City and Borough level. Four profiles include demographics,economic, housing and sociological. |
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Demographic Profiles of ACS 5 Year Estimates at the Neighborhood Tabulation Area (NTA) level
Demographic Profiles of ACS 5 Year Estimates at the Neighborhood Tabulation Area (NTA) level
City Government
Four tables of ACS demographic profiles for 2012 to 2016 at the NTA level. Four profiles include demographics, economic, housing and sociological.
Column headers in this database are abbreviated. Please see the data dictionary (shown in worksheet entitled “Dictionary”) for an explanation of these abbreviated headers. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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Demographic Profile of ACS 1 Year Estimates at the New York City and Borough level
Demographic Profile of ACS 1 Year Estimates at the New York City and Borough level
City Government
Four tables of ACS demographic profiles for 2016 at the New York City and Borough level |
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This data set contains information and locations of (E) Designations, including CEQR Environment Requirements (Table 1) and CEQR Restrictive Declarations (Table 2), in Appendix C of the Zoning Resolution. An (E) Designation provides notice of the presence of an environmental requirement pertaining to potential hazardous materials contamination, high ambient noise levels or air emission concerns on a particular tax lot.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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This data set contains information and locations of (E) Designations, including CEQR Environment Requirements (Table 1) and CEQR Restrictive Declarations (Table 2), in Appendix C of the Zoning Resolution. An (E) Designation provides notice of the presence of an environmental requirement pertaining to potential hazardous materials contamination, high ambient noise levels or air emission concerns on a particular tax lot.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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Geodatabase of projected sea level rise based on models released by New York City Panel on Climate Change (NPCC). Data includes the 10th, 25th, 50th, 75th and 90th percentile projections for the years 2020, 2050, 2080 and 2100. |
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Facilities Database (FacDB) - Supplemental File Package
Facilities Database (FacDB) - Supplemental File Package
City Government
Supplemental data files for the Facilities Database (FacDB) captures the locations and descriptions of public and private facilities ranging from the provision of social services, recreation, education, to solid waste management.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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The Mandatory Inclusionary Housing program was adopted in 2016 to encourage the creation of housing for families at a range of incomes in areas planned for housing growth. When actions of the Commission significantly increase residential density, the City Planning Commission and the City Council will apply one or more options to require affordable housing as part of new residential construction.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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The Facilities Database (FacDB) captures the locations and descriptions of public and
private facilities ranging from the provision of social services, recreation, education, to solid waste management. For data dictionary, please follow this link
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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The Transportation Division of the New York City Department of City Planning (NYCDCP) has performed annual bike counts in Manhattan since 1999. The counts have been conducted along designated bicycle routes at 10 on-street and 5 off-street locations during the fall season. These locations have remained generally consistent. The data collected includes cyclist/user volumes, helmet usage, use of bike lane, gender, etc. The bike counts data can offer insights into the overall trends in user demographics and travel patterns over time.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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NYCDCP Manhattan Bike Counts - On Street Weekday
NYCDCP Manhattan Bike Counts - On Street Weekday
Transportation
The Transportation Division of the New York City Department of City Planning (NYCDCP) has performed annual bike counts in Manhattan since 1999. The counts have been conducted along designated bicycle routes at 10 on-street and 5 off-street locations during the fall season. These locations have remained generally consistent. The data collected includes cyclist/user volumes, helmet usage, use of bike lane, gender, etc. The bike counts data can offer insights into the overall trends in user demographics and travel patterns over time.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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The Transportation Division of the New York City Department of City Planning (NYCDCP) has performed annual bike counts in Manhattan since 1999. The counts have been conducted along designated bicycle routes at 10 on-street and 5 off-street locations during the fall season. These locations have remained generally consistent. The data collected includes cyclist/user volumes, helmet usage, use of bike lane, gender, etc. The bike counts data can offer insights into the overall trends in user demographics and travel patterns over time.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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The Georeferenced NYC Zoning Maps raster dataset is intended to be a spatial representation of the entire zoning map catalog for the City of New York as one seamless citywide raster zoning map sans title blocks. These maps are normally maintained as 126 individual quarter sections and printed periodically for inclusion in Vol III of the City’s Zoning Resolution. This dataset encompasses recent changes to mapped zoning districts or zoning text amendments as they are adopted by the City Council as well as filed City Map changes.
All previously released versions of this data are available at BYTES of the BIG APPLE- Archive
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