A Lower Density Growth Management Area is an area designated in the Zoning Resolution where new developments must provide more off-street parking, larger yards and more open space than would otherwise be required in the applicable zoning districts In Staten Island and Bronx Community District 10.

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

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

This dates set represents Brooklyn Borough President's appointees to Miscellaneous Boards. Most representatives are employees of Brooklyn Borough Hall.

The NYC Department of City Planning’s (DCP) Housing Database contains all NYC Department of Buildings (DOB)-approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. It includes all three construction job types that add or remove residential units: new buildings, major alterations, and demolitions, and can be used to determine the change in legal housing units across time and space. Records in the Housing Database are geocoded to the greatest level of precision possible, subject to numerous quality assurance and control checks, recoded for usability, and joined to other housing data sources relevant to city planners and analysts.

There are two versions of the project level Housing Database:
1) HousingDB_post2010 - all active and completed jobs
2) HousingDB_post2010_inactive_included - all active, completed jobs and inactive jobs (includes withdrawn, stalled, or duplicate jobs)

Additional documentation is available at:
https://github.com/NYCPlanning/data-engineering/tree/main/products/developments

The 2020 NYC Public Use Microdata Areas (PUMAs) are statistical geographic areas defined for the dissemination of 2020 Public Use Microdata Sample (PUMS) data. PUMAs have a minimum population of 100,000, are aggregated from census tracts, and approximate Community Districts (CDs), or combinations of CDs (There are 59 CDs and only 55 NYC PUMAs because of such combinations). These boundary files are derived from the US Census Bureau's TIGER project and have been geographically modified to fit the New York City base map.

This dataset includes construction-related incidents recorded in through the Department of Buildings (DOB) Incident Database.

Shapefile of historical footprint outlines of buildings in New York City. Please see the following link for additional documentation - https://github.com/CityOfNewYork/nyc-geo-metadata/blob/main/Metadata/Metadata_BuildingHistoric.md.

Previously posted versions of the data are retained to comply with Local Law 106 of 2015 and can be provided upon request made to Open Data.

Shapefile of historical footprint outlines of buildings in New York City. Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.

Previously posted versions of the data are retained to comply with Local Law 106 of 2015 and can be provided upon request made to Open Data.