CoreData.nyc

There are two ways to search for data in CoreData.nyc:

• Use the Toolbar menu across the top of the screen to view and select available datasets.
• Search the map by address, location, or BBL (borough-block-lot) with the Search Box.

Turn map layers on or off, refine a selected dataset, and toggle between Map and Table View with the Control Panel.

The Toolbar and Control Panel work together to help you find the information you are looking for.

View  data  either in  Map View or Table View.

• Map View (default): View a map with all of the data shown as either points or regions.
• Table View: Data can also be displayed as a table. From this view, you may download the data.

The Toolbar allows you to select which datasets you will view on the map. Select from the Subsidized Housing Database to find specific properties or view sets of subsidized properties by available characteristics.

There are five other categories on the toolbar called Neighborhood Indicators, which includes Demographics, Development, Housing, Neighborhood Services and Conditions, and Renters and Rental Conditions. Select an indicator from one of these menus to view on the map or export to a table aggregated at the city, borough, or neighborhood level.

The Neighborhood Indicators can be displayed on the map at the same time as property-level information from the Subsidized Housing Database.

• Use the drop-down menu to filter and browse properties in the five boroughs of New York City that currently receive city, state, or federal subsidies.
• You can refine your search, and thus the properties shown on the map, using the following filters:
  • General (property characteristics including building size, units, and age)
  • Location (property location)
  • Subsidies (properties that have received various types of subsidies)
  • Distress (properties exhibiting physical or financial distress)
• Each property is represented as a dot on the map. Clicking on a dot will bring up a detailed report about that property, also downloadable as a PDF.

These drop-down menus allow you to choose indicators by topic at the city, borough, or neighborhood level pertaining to:

• Demographics (characteristics of the population, e.g. race and ethnicity, income, place of birth, age, labor market)
• Development (density, affordable development, permits)
• Housing (sales prices and volume, foreclosure rates, subsidy expirations
• Neighborhood Services and Conditions  (school quality, crime rates, commuting characteristics)
• Renters and Rental Conditions (affordability, rent, evictions, subsidies, vacancies

• Map View and Table View: The default display is Map View. To change, select Table View, as shown below.

• Table View / Tabular Output: The datasets available in CoreData.nyc can be exported in a table or list that can be downloaded as a CSV file.
• Once you’ve refined your query, click Table View in the upper left hand corner to convert the data displayed on the map into a table.
• You may either download just your query, or the complete subsidy and housing dataset for further analysis.
• Export limitations: Please note that Table View can only display data pertaining to Subsidized Properties and Neighborhood Indicators. While location-based information is captured in the table, CoreData.nyc cannot generate a Table View of Geographic Boundaries or CoreData Visualizations.

The Control Panel is how you control the displayed data. Expand and collapse sections as needed, or toggle a layer switch on or off to show or hide the layer on the map. The layers on the Control Panel are Subsidized Properties, Neighborhood Indicators, Political and Administrative Geographic Boundaries, and Floodplain Boundary.

Layer – Subsidized Properties: 

By default when you first load CoreData.nyc the “Subsidized Properties” dataset is activated and the filter “Has Subsidies” is enabled.

• To apply or change the Subsidized Properties filter, click ‘Subsidized Housing Database’ on the Toolbar to change the parameters of what properties are displayed.

Layer – Neighborhood Indicators: 

After you’ve selected a Neighborhood Indicator from the Toolbar you can further refine the data using the Control Panel. You can select the Year and Region for the indicator. Year and region availability varies by indicator; all available options will appear in the drop-down list. 

Layer – Geographic Boundaries: 

You can add an additional geographic boundary to the map. The following boundaries are available from the drop-down list:

• Boroughs
• Sub-Borough Areas
• Community Districts
• City Council Districts
• Congressional Districts
• State Senate Districts
• State House Districts

Troubleshooting: If the data is loading slowly, try turning off one of the datasets by clicking the slider on the Control Panel

The Geographic Boundaries layer is for visual purposes only. Neighborhood Indicator data cannot be attributed to the boundaries displayed in the Geographic Boundaries layer. To find a Neighborhood Indicator for a specific geography, choose from the Region options in the Control Panel.

Properties in the Subsidized Housing Database are represented as a blue dot on the map. Clicking on the dot will bring up a detailed report (available for download as a PDF) that includes information on:

• Property (Physical details, ownership, and Department of Finance Assessed Value)
• Political and Administrative Districts (Census Tract, Sub-Borough Area, Districts)
• Income-Targeted Units (if applicable, income-targeted units by unit size)
• Physical and Financial Condition (housing code violations and tax delinquency)
• Regulatory Tools (regulatory instrument, government agency, start/end date, tenure type)
• City and State Programs (name of city or state subsidy program associated with property)

• Click “Share”, located on the bottom of the table or map. It will generate a unique link that you can send to a friend or colleague that will take them directly to the map view you have created.
• Links are permanent but they may change or become unavailable as the underlying data is updated.

CoreData.nyc is host to the NYU Furman Center’s Subsidized Housing Database, a property-level database that links multiple sources of housing subsidy data to individual properties in New York City. The Subsidized Housing Database includes residential properties with 5 or more residential units and at least one active housing subsidy (based on available data). Therefore, properties with expired subsidies are not included in the Subsidized Housing Database. When data are updated, expired subsidies will be removed. Generally, records in the Subsidized Housing Database are for multi-family properties.

Last update to CoreData.nyc: May 13, 2025.

Descriptions of the subsidy programs included in CoreData.nyc, and notes on methodology by program can be found in the Directory of NYC Housing Programs.

There are dozens of housing subsidies in New York City from a variety of government sources (see the Directory of NYC Housing Programs for more information). We acquire these data from several sources, including the New York City Department of Finance (DOF), the New York City Department of Housing Preservation and Development (HPD), the New York City Housing Authority (NYCHA), the New York State Department of Housing and Community Renewal (HCR), and the United States Department of Housing and Urban Development (HUD).

Because data from each of these sources is formatted differently, we perform a number of data cleaning techniques to link the data at the property level:

• Standardizing Addresses: Properties in the Subsidized Housing Database are tax parcels, identified by a unique  borough-block-lot (BBL) number. Oftentimes housing subsidy data includes an address – but not the BBL – of a property. Therefore, we must convert addresses into the corresponding BBLs. To do this, we use Geosupport, a geocoding tool provided by New York City’s Department of City Planning that identifies the BBL for a given address. All address data in the Subsidized Housing Database is processed through Geosupport. See the Geocoding Application page for more information about Geosupport. In some cases, Geosupport fails to identify a BBL for an address. When this occurs, we assign the BBL based on a manual map search. If the manual search does not produce a BBL (due to incomplete information in the subsidy record) the record is dropped. For NYCHA properties, we use map files provided by the agency to spatially join developments to MapPLUTO.
• Identifying Related Properties: An individual subsidy agreement may apply to more than one property. In some cases, the data we receive only lists a single address for a subsidy even though the agreement covers multiple properties. In order to identify all properties associated with a subsidy, we search New York City property records to identify the related properties. First, we convert the address listed in the subsidy agreement to its BBL using the process described above. We call this property the reference BBL. We then search New York City Department of Finance’s Automated City Register Information System (ACRIS) to identify related properties – properties that are referenced in documents associated with the reference BBL. We then cross-check information in the subsidy agreement with the property information from ACRIS to ensure the related properties are in fact associated (we match based on the number of residential units). We only allow matches to associated BBLs with a building class that falls under the following building classification codes from the Department of Finance: A, B, C, D, R, S, L, I, N, H3, H6, H7, H8, and K4.
• Mapping Addresses: All BBL data is mapped based on MapPLUTO,  a geographic dataset of tax lots, provided by the New York City Department of City Planning. In the rare case that a BBL in the subsidy data does not match a MapPLUTO record, we drop the record since it cannot be mapped in CoreData.nyc.

For a given subsidy, the start date indicates when the subsidy was issued or when the property was placed in service. The end date indicates when the requirements associated with the subsidy end or expire. In cases where only the year is known, the start date is set to January 1st and the end date is set to December 31st. 

If a subsidy is permanent or has no foreseeable end date (e.g. Public Housing, Inclusionary Zoning), the end date is listed as blank. Program notes are as follows:

• Mitchell-Lama: The end date listed for Mitchell-Lama properties reflects the opt-out date. The Subsidized Housing Database includes Mitchell-Lama properties that have exceeded their opt-out date but (as best we can determine) have not opted out of the program.
• Low-Income Housing Tax Credit (LIHTC): LIHTC data is from HUD’s LIHTC Database and only includes the subsidy start date. For these properties we estimate the end date of the LIHTC subsidy to be 30 years from the start date.

New York City consists of five boroughs: the Bronx, Brooklyn, Manhattan, Queens, and Staten Island. Each borough is represented by a borough president, an elected official who advises the mayor on issues related to his or her borough and, along with the borough board, makes recommendations concerning land use and the allocation of public services. Each borough is also a county. Counties are legal entities with boundaries defined by state law.

Community districts are political units unique to New York City. Each of the 59 community districts has a community board. Half of the community board’s members are appointed by the borough president and half are nominated by the City Council members who represent the district. The community boards review applications for zoning changes and other land use proposals and make recommendations for budget priorities. Each community board is assigned a number within its borough. The borough and this number uniquely identify each of the 59 community districts. Therefore, we designate each community district with a two-letter borough code and a two-digit community board code. For example, BK 02 is the community district represented by Community Board 2 in Brooklyn.

Sub-borough areas are geographic units created by the U.S. Census Bureau for the administration of the New York City Housing and Vacancy Survey and were designed to have similar boundaries to those of community districts. Sub-borough areas are coterminous with the U.S. Census Bureau’s Public Use Microdata Areas (PUMAs), so we use the two terms interchangeably. Sub-borough areas are referred to using a three-digit number, where the first digit signifies the borough. There are 59 community districts in New York City but only 55 sub-borough areas. The U.S. Census Bureau combined four pairs of community districts in creating the sub-borough areas to improve sampling and protect the confidentiality of respondents.

These pairs are:

From 1970 through 2000, the decennial census consisted of two parts: the “short form” that collected information from every person and about every housing unit in the country, and the “long form” of additional questions asked of a sample of people and households. The short form collected information on age, race, Hispanic or Latino origin, household relationship, sex, tenure, and vacancy status. The long form provided more in-depth information about personal and housing characteristics such as income, employment status, and housing costs. Coredata.nyc uses data from the decennial census short and long forms to derive demographic, economic, and housing measures for the years 2000 and 2010. To create most of these indicators, we use summary census data reported at the city, borough, and sub-borough area levels. Since 2010, the decennial census only included the short form since most of the data that had previously been included in the long form were now reported in the American Community Survey (see below). While much of the decennial census short-form data is also found in the American Community Survey (such as the count of households), the two sources often report differing numbers for statistical and methodological reasons.

The American Community Survey (ACS) is an annual survey that collects data similar to those formerly collected by the census long form described above. As with the long form, the ACS covers only a sample of individuals and housing units, approximately one in 40 housing units each year. Reliable annual estimates for indicators in geographic areas with a population of 65,000 or more became available from the ACS in 2005. For most city- and borough-level indicators, we report figures derived from one-year estimates from the ACS. Because of the COVID-19 pandemic, the Census Bureau did not release its standard 2020 ACS one-year estimates. In other years, for some indicators, due to the small sample size, one-year estimates can be prone to volatility and sampling error, which can make it difficult to reliably discern whether an indicator’s change from one year to the next represents a real change or a statistical anomaly. In order to reduce this uncertainty and draw valid conclusions from differences over both time and space, for select indicators we use five-year ACS estimates. Due to space constraints, multiyear estimates presented in CoreData.nyc are labeled using only the final year of the range that they cover (that is, an indicator from the 2010­­­–2014 ACS is listed under the heading “2014”). Multiyear estimates, however, should be interpreted as a measure of the conditions during the whole range. The indicators and years that use multiyear estimates rather than one-year estimates are noted by indicator in the Data Dictionary.

While most decennial census- and ACS-derived indicators use pre-tabulated summary data that are reported at a given geography, we calculate some indicators by aggregating person- and household-level data to the desired geographic level. The US Census Bureau makes individual-level data available in Public Use Microdata Samples (PUMS), which are anonymized extracts from the confidential microdata that the US Census Bureau uses in its own calculations for the decennial census and the ACS. Indicators that are calculated through PUMS are noted in the Data Dictionary.

The US Department of Housing and Urban Development (HUD) defines income eligibility limits for its Section 8 and HOME programs based on the area median income (AMI) in a metropolitan area. HUD determines three general income limits at 30, 50, and 80 percent of AMI for various household sizes. We employ HUD’s general method to calculate 120 percent of the area median income for various household sizes.

HUD assigns category names to ranges of the area median income and uses “low-income” to describe households that have incomes above 50 and at or below 80 percent of AMI. However, CoreData.nyc uses “low-income” to describe any household earning at or below the 80 percent limit.

In order to calculate the share of rental units that are affordable to households of various income levels, we need to take household size into account, since the definition of income limits (and thus maximum affordable housing costs) vary by household size. For a rental unit with n bedrooms, we classify it as affordable at X percent of AMI if its gross rent is less than the maximum affordable rent specified by HUD for a household of size n+1; that is, a studio (i.e. a unit with zero bedrooms) is classified according to the maximum rent values for single-person households, a one-bedroom is classified according to the maximum rent values for two-person households, a two-bedroom is classified according to the maximum rent values for three-person households, and a unit with three or more bedrooms is classified according to the maximum rent values for four-person households. HUD does not publish income guidelines for households with more than eight members, although its methodology allows for their calculation. To ease computation, we apply the eight-person limits to these larger households. This method makes assumptions about the composition of the households that occupy each unit. Therefore, this indicator should be interpreted with some caution. For more information about HUD’s method and their published guidelines, refer to individual years’ guidelines here.

The Federal Home Mortgage Disclosure Act (HMDA) requires financial institutions with assets totaling at least $44 million as of 2015 to report information on loan applications and originations if they have originated or refinanced any first-lien home purchase loans on one- to four-family properties (including condominium and cooperative units) in the previous year. Thus, the HMDA data capture most, but not all, one- to four-family residential mortgage lending activity. All figures in our analysis are based on non-business-related loans on owner-occupied, one- to four-family properties (including condominiums). We exclude from our analysis any loans for manufactured or multi-family rental housing (with five or more units), loans on properties that are not owner-occupied, and any loans deemed to be business related (classified as those loans for which a lender reports an applicant’s ethnicity, race, and sex as “not applicable”). Since 2004, HMDA requires lenders to report when the spread between the annual percentage rate (APR) of a loan and the rate of Treasury securities of comparable maturity is greater than three percentage points for first-lien loans and five percentage points for junior-lien loans. For indicators included in CoreData.nyc, all loans with an APR above this threshold are referred to as higher-cost loans.

We receive data on lis pendens (LP) filings from a private vendor. An LP may be filed for a host of reasons unrelated to a mortgage foreclosure, so we use a variety of screening techniques to identify only those LPs related to a mortgage. These techniques include searching for words within either of the party names and dropping any LPs that relate to a tax lien or a mechanic’s lien, or that are originated by a government agency. If the same property receives any additional LPs within 90 days of the initial LP, the additional LPs are not included in our rate to avoid counting the same foreclosure twice.

The New York State Education Department publishes school-level proficiency rates every year. We joined the proficiency data with a school facilities shapefile provided by the New York City Department of City Planning’s Bytes of the Big Apple website, which also includes each school’s community district. We removed private and charter schools and then summed up the number of fourth graders scoring “proficient” in math and English language arts, and the number of students who were tested in each subject. We use those aggregates to calculate proficiency rates at the community district level. Since students can attend schools outside of their community district (for example, if their school zone extends beyond the borders of their community district), the student performance indicators provide information about the performance of students who attend schools in that neighborhood, rather than the performance of students who live in that neighborhood. Because of the COVID-19 pandemic, these exams were not administered in 2020 and were optional for students to take in 2021. Therefore, the 2020 data points were unavailable, and the 2021 results may not accurately represent student performance.

Unless stated otherwise, when reporting dollar-denominated indicators, we adjust amounts to real dollars using the Consumer Price Index for All Urban Consumers (Current Series) without seasonal adjustments from the Bureau of Labor Statistics over all major expenditure classes for the New York City metropolitan area. This allows for more consistent comparisons across years for individual indicators. The annual consumer price index (CPI) we use to make these adjustments is released by the Bureau of Labor Statistics in February, and so our adjustments in CoreData.nyc will be delayed until this time each year.

CoreData.nyc is New York City’s housing and neighborhoods data hub, presented by the NYU Furman Center. The interactive data and mapping tool standardizes over 35 datasets from a variety of city, state, and federal sources to present over 100 indicators on New York City’s housing and neighborhoods. It includes both property-level housing subsidy information, as well as neighborhood-level information on housing markets, home affordability, land use, demographics, and neighborhood conditions. CoreData.nyc combines this data with independent analysis by the NYU Furman Center, including New York City housing market indicators, analysis, and data visualizations. Users can create maps, download tables, and track trends over time. CoreData.nyc is user-friendly, updated regularly, and publicly-available.

The map shows the location of properties in the Subsidized Housing Database and displays selected Neighborhood Indicators for different neighborhoods. You can view both Neighborhood Indicators and subsidized properties on the map at the same time. Data can also be viewed as a table in Table View.

The Neighborhood Indicator legend will display in the Control Panel once you’ve made a selection from the Toolbar. The legends for CoreData.nyc Visualizations (maps custom-made by the NYU Furman Center) will appear in the bottom right area of the Map View.

Clicking the Table View button on the upper left of the screen will switch the map display to a tabular display of the selected data. For Neighborhoods Indicators, the table will show all available years for the specific indicator by the selected geography. For subsidized properties, the table will only include general property information. To access the complete Subsidized Housing Database, click “Download” on the upper right hand side of the screen while in Table View and choose “Full property and subsidy data set.” Table View is not available for CoreData.nyc Visualizations.

Yes. Enter a neighborhood name in the Search Box, and the map will zoom to the location.

The Subsidized Housing Database includes many, but not all, housing subsidies in New York City. We will continue to update the database as data becomes available.

When a property on the map is selected.  The control panel will include a link to the New York City Department of Finance’s Digital Tax Map, where additional information on the property is provided. From the Digital Tax Map, a link is then provided to that property’s records on the New York City Department of Finance’s Automated City Register Information System where regulatory agreements can be found.

Yes. Many properties receive multiple sources of tax, financing, and other government subsidies.

No. The residential unit count provided in the Subsidized Housing Database refers to the total number of residential units in a property.The Database does not report the number of affordable units in a property, which can be determined by examining the regulatory agreements applicable to the property (available on the New York City Department of Finance’s Automated City Register Information System). For more information about specific subsidy programs and their affordability requirements, see the Directory of NYC Housing Programs.

• CoreData.nyc and its maps, tables, and other resources may be incorporated into your work and research, and may be cited as: NYU Furman Center’s CoreData.nyc. More detailed citation guidelines are available here.

No. Selecting a filter in the Subsidized Housing Database does not affect Neighborhood Indicator results; and selecting a Neighborhood Indicator does not affect Subsidized Housing Database results. They will be displayed together on the map, although you can toggle each layer on and off using the sliders on the Control Panel.

Search specific programs in the Directory of NYC Housing Programs for CoreData.nyc availability, sources, and data notes.

Any data viewable in tabular form is available for download. First, select the Table View button, and then choose the Download option on the top right of the screen. You may also download information about subsidized properties. You have the option to download only the data displayed, or the complete subsidy and housing dataset.

Yes. Enter an address or a property’s Borough-Block-Lot (BBL) number in the Search Box, and the map will zoom to the location. Note that the specific property will not be highlighted. CoreData.nyc recently enabled multiple BBLs search function to look up a list of properties in one query in the Search Box.

Depending on the Neighborhood Indicator selected, data for the following geographic levels may be available:

• City: This level provides a single value for all of New York City.
• Borough: This level splits the city into its five boroughs.
• Community Districts: Community Districts (CD) are political units unique to New York City. The two letters refer to the CD’s borough, and the next two refer to its number. The name approximates the neighborhoods within the CD, and is not an official designation.
• Sub-Borough Area: Sub-borough areas are Public Use Microdata Areas (PUMAs) defined by the US Census Bureau defined to closely align with Community Districts.

CoreData.nyc is New York City’s housing and neighborhoods data hub, presented by the NYU Furman Center. The interactive data and mapping tool standardizes over 35 datasets from a variety of city, state, and federal sources to present over 100 indicators on New York City’s housing and neighborhoods. It includes both property-level housing subsidy information, as well as neighborhood-level information on housing markets, home affordability, land use, demographics, and neighborhood conditions. CoreData.nyc combines this data with independent analysis by the NYU Furman Center, including New York City housing market indicators, analysis, and data visualizations. Users can create maps, download tables, and track trends over time. CoreData.nyc is user-friendly, updated regularly, and publicly-available.

CoreData.nyc’s Subsidized Housing Database includes the only publicly available, property-level database of New York City’s subsidized housing. It allows users to identify currently subsidized properties in the city, the subsidy type and program applicable to specific properties, and the start and end date for the subsidy on a property, allowing the user to identify properties at risk of exiting from affordability restrictions.

CoreData.nyc includes data describing New Yorkers and the city’s neighborhoods, including information on:

• Demographics, including household composition, income, poverty, and race/ethnicity;
• Development, such as density, affordable development, and building permits
• Housing, including sales prices and volume, foreclosure rates, and subsidy expirations
• Neighborhood Services and Conditions, such as school quality, crime rates, and commuting characteristics
• Renters and Rental Conditions, including affordability, rent, evictions, subsidies, and rental vacancies

Funding for CoreData.nyc has been provided by the New York City Council. Additional support has been provided by Capital One. The NYU Furman Center first launched the Subsidized Housing Information Project (SHIP) in 2011. The searchable database consolidated dozens of public and private data sources on the city’s subsidized properties. The development of SHIP was funded by a grant from the John D. and Catherine T. MacArthur Foundation, and additional support for maintenance and expansion was provided by the New York City Council, Capital One, and the F.B. Heron Foundation. The NYU Furman Center rebranded and relaunched the site as “CoreData.nyc” in November 2016 to mark the expansion of its data sources and addition of user-friendly interactive tools and features. 

Neighborhood Indicators are updated on an annual basis. The years for which Neighborhood Indicator data are available are shown in a dropdown menu on CoreData.nyc.

Program data in the Subsidized Housing Database is updated periodically as data becomes available.  

CoreData.nyc and its maps, tables, and other resources may be incorporated into your work and research, and may be cited as: NYU Furman Center’s CoreData.nyc.

Please preserve all trademarks and logos on any exported maps, tables, or property reports.

For academic and research presentations, please follow the citation formats below:

APA Style

Data Source. Table Title [format]. Data date. NYU Furman Center’s CoreData.nyc. permalink URL. (date accessed)

Chicago Style

Title of map, dates. NYU Furman Center’s CoreData.nyc, permalink URL (based on data from <identify data source>; date accessed).

MLA Style

Title of map, dates. Map. NYU Furman Center’s CoreData.nyc, permalink URL (based on data from <identify data source>; date accessed).

For questions about citing CoreData.nyc for use in a media outlet, please contact our communications office at furmancenter@nyu.edu.