The Building Elevation and Subgrade data contains New York City building centroids derived from the Department of Building's (DOB) February 26th, 2022 building footprint dataset. Each record contains a grade and first floor measurement for each building (recorded as feet above sea-level in the NADV88 vertical datum) and indicates if subgrade space exists. DCP contracted with an external data vendor to generate a single point, or centroid, that represented the location of the center of every building recorded in the DOB dataset. The dataset excluded the footprints of small accessory buildings such as sheds. Each row within the dataset represents one building centroid, and records the X and Y coordinates of that centroid in the NAD 1983 coordinate system.
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The Building Elevation and Subgrade data contains New York City building centroids derived from the Department of Building's (DOB) February 26th, 2022 building footprint dataset. Each record contains a grade and first floor measurement for each building (recorded as feet above sea-level in the NADV88 vertical datum) and indicates if subgrade space exists. DCP contracted with an external data vendor to generate a single point, or centroid, that represented the location of the center of every building recorded in the DOB dataset. The dataset excluded the footprints of small accessory buildings such as sheds. Each row within the dataset represents one building centroid, and records the X and Y coordinates of that centroid in the NAD 1983 coordinate system.
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Net change in housing units arising from new buildings, demolitions, or alterations for specified geography (Census Block, Census Tract, City Council district, Community District, Community District Tabulation Area (CDTA), Neighborhood Tabulation Area (NTA). These tables are aggregated from the DCP Housing Database, which is derived from Department of Buildings (DOB)-approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. Net housing unit change is calculated as the sum of 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.
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Net change in housing units arising from new buildings, demolitions, or alterations for specified geography (Census Block, Census Tract, City Council district, Community District, Community District Tabulation Area (CDTA), Neighborhood Tabulation Area (NTA). These tables are aggregated from the DCP Housing Database, which is derived from Department of Buildings (DOB)-approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. Net housing unit change is calculated as the sum of 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.
NOTE: Housing Database by PUMA has been sunset as of the 20q4 release. Anyone looking for housing database at the PUMA level should use the Housing Database by 2020 CDTA dataset, which is a similar geography but not an exact equivalent.
All previously released versions of this data are available at the BYTES of the BIG APPLE Archive.
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Spatial data at the polygon level can be joined to the tabular Capital Projects dataset using the FSM ID. A majority of the spatial data was made available on NYC Open Data by agency partners. Some geometries were created manually, while others relied on 'Fuzzy String Matching'. This process relied on a join to DCP's Facilities Database and DPR's Parks Properties to match project descriptions to physical locations.
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Spatial data at the point level can be joined to the tabular Capital Projects dataset using the FSM ID. A majority of the spatial data was made available on NYC Open Data by agency partners. Some geometries were created manually, while others relied on 'Fuzzy String Matching'. This process relied on a join to DCP's Facilities Database and DPR's Parks Properties to match project descriptions to physical locations.
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Pseudo Lots (Map)
Pseudo Lots (Map)
City Government
pseudo lots, bin, building identification number, ...
The Pseudo Lots dataset contains polygons of locations that have an address and/or a structure with a building identification number (BIN), but for which there is no tax lot. Pseudo lots may exist for locations with open space, subway or train stations, skyways, tunnels, or other miscellaneous features. Note that this is not a comprehensive dataset of locations with these types of features.
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Spatial data at the point level can be joined to the tabular Capital Projects dataset using the FSM ID. A majority of the spatial data was made available on NYC Open Data by agency partners. Some geometries were created manually, while others relied on 'Fuzzy String Matching'. This process relied on a join to DCP's Facilities Database and DPR's Parks Properties to match project descriptions to physical locations.
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403 views
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Spatial data at the polygon level can be joined to the tabular Capital Projects dataset using the FSM ID. A majority of the spatial data was made available on NYC Open Data by agency partners. Some geometries were created manually, while others relied on 'Fuzzy String Matching'. This process relied on a join to DCP's Facilities Database and DPR's Parks Properties to match project descriptions to physical locations.
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481 views
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Office of Management and Budget (OMB) publishes Capital Commitment Plan three times a year as a series of pdf files, generally in the months of January, April, and September as part of the publication of the Preliminary, Executive, and Adopted Capital Budgets.
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The Capital Projects Dataset reports information at the project level on discrete capital investments from the Capital Commitment Plan. Each row is uniquely identified by its Financial Management Service (FMS) ID, and contains data pertaining to budgetary and managing agency.
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505 views
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Pseudo Lots
Pseudo Lots
City Government
pseudo lots, bin, building identification number, ...
The Pseudo Lots dataset contains polygons of locations that have an address and/or a structure with a building identification number (BIN), but for which there is no tax lot. Pseudo lots may exist for locations with open space, subway or train stations, skyways, tunnels, or other miscellaneous features. Note that this is not a comprehensive dataset of locations with these types of features.
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The Department of City Planning (DCP) processes land use applications submitted by City or other public agencies and other (private) applicants. This data set provides information on land use applications, specifically the project tracking and description data related to approximately 30,000 projects since the late 1970’s.
ZAP project data appears on NYC Planning - Zoning Application Portal Search. It includes data migrated from the prior applications tracking system (LUCATS) and covers all projects that have been ‘Noticed’ (that they will appear before the City Planning Commission in 30 or more days for Certification as complete for the ULURP process to begin) or Filed (a CEQR or Land Use application has been formally submitted to the Department for review) through completion (approval, disapproval, withdrawal, or termination). For more information on the land use and environmental review application process see:
https://www1.nyc.gov/site/planning/applicants/applicant-portal/application-process.page
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The Department of City Planning (DCP) processes land use applications submitted by City or other public agencies and other (private) applicants. This data set provides information on land use applications, specifically the project tracking and description data related to approximately 30,000 projects since the late 1970’s.
ZAP project data appears on NYC Planning - Zoning Application Portal Search. It includes data migrated from the prior applications tracking system (LUCATS) and covers all projects that have been ‘Noticed’ (that they will appear before the City Planning Commission in 30 or more days for Certification as complete for the ULURP process to begin) or Filed (a CEQR or Land Use application has been formally submitted to the Department for review) through completion (approval, disapproval, withdrawal, or termination). For more information on the land use and environmental review application process see:
https://www1.nyc.gov/site/planning/applicants/applicant-portal/application-process.page
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2020 Neighborhood Tabulation Areas (NTAs) are medium-sized statistical geographies for reporting Decennial Census and American Community Survey (ACS). 2020 NTAs are created by aggregating 2020 census tracts and nest within Community District Tabulation Areas (CDTA). NTAs were delineated with the need for both geographic specificity and statistical reliability in mind. Consequently, each NTA contains enough population to mitigate sampling error associated with the ACS yet offers a unit of analysis that is smaller than a Community District.
Though NTA boundaries and their associated names roughly correspond with many neighborhoods commonly recognized by New Yorkers, NTAs are not intended to definitively represent neighborhoods, nor are they intended to be exhaustive of all possible names and understandings of neighborhoods throughout New York City. Additionally, non-residential areas including large parks, airports, cemeteries, and other special areas are represented separately within this dataset and are assigned codes according to their type (See NTAType field). All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.
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2020 Neighborhood Tabulation Areas (NTAs) are medium-sized statistical geographies for reporting Decennial Census and American Community Survey (ACS). 2020 NTAs are created by aggregating 2020 census tracts and nest within Community District Tabulation Areas (CDTA). NTAs were delineated with the need for both geographic specificity and statistical reliability in mind. Consequently, each NTA contains enough population to mitigate sampling error associated with the ACS yet offers a unit of analysis that is smaller than a Community District.
Though NTA boundaries and their associated names roughly correspond with many neighborhoods commonly recognized by New Yorkers, NTAs are not intended to definitively represent neighborhoods, nor are they intended to be exhaustive of all possible names and understandings of neighborhoods throughout New York City. Additionally, non-residential areas including large parks, airports, cemeteries, and other special areas are represented separately within this dataset and are assigned codes according to their type (See NTAType field). All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.
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The Department of City Planning (DCP) created Community District Tabulation Areas (CDTAs) to closely approximate the 59 Community Districts of New York City for the purpose of reporting American Community Survey (ACS) data. CDTAs are built by aggregating whole 2020 census tracts. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.
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The Department of City Planning (DCP) created Community District Tabulation Areas (CDTAs) to closely approximate the 59 Community Districts of New York City for the purpose of reporting American Community Survey (ACS) data. CDTAs are built by aggregating whole 2020 census tracts. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.
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This file shows the relationship between New York City’s 2020 census tracts, 2020 Neighborhood Tabulation Areas (NTAs), and Community District Tabulation Areas (CDTAs). 2020 census tracts nest within 2020 NTAs, and 2020 NTAs nest within CDTAs, so each census tract is listed only once. Note that CDTAs sometimes cross borough boundaries, and therefore will not add up to borough totals for the Bronx, Queens, and Manhattan. As they are nested within CDTAs, NTAs will likewise not add up to borough totals. Also note that census tracts in New York City’s water areas are excluded from this file.
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2020 Census Tracts (water areas included) from the US Census for New York City. These boundary files are derived from the US Census Bureau's TIGER data products and have been geographically modified to fit the New York City base map. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.
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2020 Census Tracts (water areas included) from the US Census for New York City. These boundary files are derived from the US Census Bureau's TIGER data products and have been geographically modified to fit the New York City base map. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.
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2020 Census Tracts from the US Census for New York City. These boundary files are derived from the US Census Bureau's TIGER data products and have been geographically modified to fit the New York City base map. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.
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2,993 views
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2020 Census Tracts from the US Census for New York City. These boundary files are derived from the US Census Bureau's TIGER data products and have been geographically modified to fit the New York City base map. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.
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2,300 views
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2020 Census Blocks (water areas included) from the US Census for New York City. These boundary files are derived from the US Census Bureau's TIGER data products and have been geographically modified to fit the New York City base map. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.
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259 views
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2020 Census Blocks (water areas included) from the US Census for New York City. These boundary files are derived from the US Census Bureau's TIGER data products and have been geographically modified to fit the New York City base map. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.
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