Table of Census Demographics represented at the NTA level. NTAs are aggregations of census tracts that are subsets of New York City's 55 Public Use Micro data Areas (PUMAs)

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.

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

NTA-Neighborhood Tabulation Areas were initially created by the Department of City Planning for small area population projections. However, NTAs are now being used to present data from the Decennial Census and American Community Survey.

Neighborhood Tabulation Areas (NTA) are medium-sized statistical geographies for reporting Decennial Census and American Community Survey (ACS). NTAs are created by aggregating census tracts and nest within Community District Tabulation Areas (CDTA). NTAs were created 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).

NYC Open Data data: Boundaries of Neighborhood Tabulation Areas as created by the NYC Department of City Planning using whole census tracts from the 2010 Census as building blocks. These aggregations of census tracts are subsets of New York City's 55 Public Use Microdata Areas (PUMAs)

reformatted to add NTA code as ferature.id for use with plotly choropleth

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.

Net change in housing units arising from new buildings, demolitions, or alterations for NYC NTAs since 2010. The NYC Department of City Planning's (DCP) Housing Database provide the 2010 census count of housing units, the net change in Class A housing units since the census, and the count of units pending completion for commonly used political and statistical boundaries. 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. All previously released versions of this data are available at BYTES of the BIG APPLE - Archive.

data: Boundaries of Neighborhood Tabulation Areas as created by the NYC Department of City Planning using whole census tracts from the 2010 Census as building blocks. These aggregations of census tracts are subsets of New York City's 55 Public Use Microdata Areas (PUMAs).

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.

Excel table of census data created to project populations at the Neighborhood Tabulation Area, a small area level, from 2000 to 2030 for PlaNYC, the long-term sustainability plan for New York City

Analysis of ‘Housing Database by NTA’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/a7a00db4-2b53-48d0-a8c3-d8b9d264111e on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Net change in housing units arising from new buildings, demolitions, or alterations for NYC NTAs since 2010. The NYC Department of City Planning’s (DCP) Housing Database provide the 2010 census count of housing units, the net change in Class A housing units since the census, and the count of units pending completion for commonly used political and statistical boundaries. 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.

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

--- Original source retains full ownership of the source dataset ---

The STEW-MAP NYC 2017 Story Map is a web-based mapping tool designed to allow users to view the STEW-MAP project overview, groups, connections, project map, and indices and neighborhoods landscape data for the New York City area. In this Story Map, The Landscape tab shows stewardship data alongside other social and environmental characteristics, summarized at the neighborhood level. The map uses 2010 NYC Neighborhood Tabulation Areas (NTAs) to represent NYC neighborhoods. Use this map to explore patterns and relationships in your neighborhood and citywide. This document discusses the methodology used to derive the stewardship index and comparable social and environmental data layers. Stewardship Index: For examining stewardship in each NTA, we developed a 3-variable stewardship index to capture more information from the STEW-MAP survey than number of groups working in an NTA. We selected staffing (StaffSum where part time staff are weighed as half of full-time staff), number of groups working in a neighborhood (Join_Count) and number of collaborative network connections (NumOfAlters) as these are important variables for measuring stewardship group capacity in a neighborhood. For each of those three variables, we calculated each NTA’s z-score, or how far a neighborhood deviates from the median value. On the map, neighborhoods marked by darker colors are those with higher z-scores with respect to the stewardship variable selected. Finally, we averaged together these three measures of stewardship capacity – staffing, number of groups, and number of collaborative network ties– for each NTA to create the 3 Variable Stewardship Index layer. Social and Environmental Datasets: The Landscape tab is intended to be a tool to allow users to view stewardship indices derived from STEW-MAP survey data alongside other critical social and environmental datasets. For New York City, we included the following biophysical variables: land surface temperature, effective flood hazard, urban tree canopy cover, the number of parks in an NTA, community garden presence, street tree census data, as well as the following social variables: the CDC’s social vulnerability index, median income and median year moved in.