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TwitterThis dataset contains prices of New York houses, providing valuable insights into the real estate market in the region. It includes information such as broker titles, house types, prices, number of bedrooms and bathrooms, property square footage, addresses, state, administrative and local areas, street names, and geographical coordinates.
- BROKERTITLE: Title of the broker
- TYPE: Type of the house
- PRICE: Price of the house
- BEDS: Number of bedrooms
- BATH: Number of bathrooms
- PROPERTYSQFT: Square footage of the property
- ADDRESS: Full address of the house
- STATE: State of the house
- MAIN_ADDRESS: Main address information
- ADMINISTRATIVE_AREA_LEVEL_2: Administrative area level 2 information
- LOCALITY: Locality information
- SUBLOCALITY: Sublocality information
- STREET_NAME: Street name
- LONG_NAME: Long name
- FORMATTED_ADDRESS: Formatted address
- LATITUDE: Latitude coordinate of the house
- LONGITUDE: Longitude coordinate of the house
- Price analysis: Analyze the distribution of house prices to understand market trends and identify potential investment opportunities.
- Property size analysis: Explore the relationship between property square footage and prices to assess the value of different-sized houses.
- Location-based analysis: Investigate geographical patterns to identify areas with higher or lower property prices.
- Bedroom and bathroom trends: Analyze the impact of the number of bedrooms and bathrooms on house prices.
- Broker performance analysis: Evaluate the influence of different brokers on the pricing of houses.
If you find this dataset useful, your support through an upvote would be greatly appreciated ❤️🙂 Thank you
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TwitterData are updated semiannually, at the end of the second and fourth quarters of each year.
Please see DCP’s annual Housing Production Snapshot summarizing findings from the 21Q4 data release here. Additional Housing and Economic analyses are also available.
The NYC Department of City Planning’s (DCP) Housing Database Unit Change Summary Files provide the net change in Class A housing units since 2010, and the count of units pending completion for commonly used political and statistical boundaries (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 Project-Level Files, 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. These files can be used to determine the change in legal housing units across time and space.
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Graph and download economic data for All-Transactions House Price Index for New York (NYSTHPI) from Q1 1975 to Q3 2025 about appraisers, NY, HPI, housing, price index, indexes, price, and USA.
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Graph and download economic data for Housing Inventory: Median Listing Price Month-Over-Month in New York (MEDLISPRIMMNY) from Jul 2017 to Oct 2025 about NY, listing, median, price, and USA.
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TwitterOut of a total of *** million housing units in New York City, approximately *** million units were single family detached homes and *** unites were single family attached homes in 2021. Unlike single family homes which were mostly owner occupied, housing in multifamily buildings was predominantly renter occupied. In buildings with ** or more housing units, *** million out of 1.3 million units were rented.
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TwitterContains the main body of the "Development Data Book". The Development Data Book lists all of the Authority's Developments alphabetically and includes information on the development identification numbers, program and construction type, number of apartments and rental rooms, population, number of buildings and stories, street boundaries, and political districts.
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Context and Acknowledgements This dataset is inspired by and improves upon the City of New York's NYC Property Sales dataset. The dataset contains a record of every property sold in the New York City property market since 2003 (the first year sales data was first listed on the public record) and updates monthly to include rolling sales.
Please upvote if you found the dataset or additional resources helpful. 👍
Content This dataset contains the location, address, type, sale price, tax category, and sale date of properties sold.
For further reference on the fields in this dataset see the City of New York Department of Finance's Glossary of Terms and Building Codes.
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Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in New York (MEDLISPRIPERSQUFEENY) from Jul 2016 to Oct 2025 about square feet, NY, listing, median, price, and USA.
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TwitterResidential property transactions in New York City plummeted in *********, reaching *** - the lowest figure registered during the period under observation. Just a year ago, the number of residential transactions amounted to *****. New York was hit hard by the COVID-19 pandemic in 2020, resulting in house price volatility and slowing sales activity.
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TwitterThe S&P Case Shiller New York Home Price Index has overall increased in recent years. The index measures changes in the prices of existing single-family homes. The index value was equal to 100 as of January 2000, so if the index value is equal to *** in a given month, for example, it means that the house prices increased by ** percent since 2000. The value of the S&P Case Shiller New York Home Price Index amounted to ****** in August 2025. That was below the national average.
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TwitterOut of a total of *** million housing units in New York City in 2021, approximately *** million units were between 1,000 and ***** square feet. The share of owner occupied homes in this category was slightly higher than the share of rented homes. It can be seen, however, that renter occupied homes are generally smaller.
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More details about each file are in the individual file descriptions.
This is a dataset hosted by the City of New York. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York City using Kaggle and all of the data sources available through the City of New York organization page!
This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.
This dataset is distributed under the following licenses: Public Domain
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TwitterContains resident demographic data at a summary level. The Resident Data Book is compiled to serve as an information source for queries involving resident demographic as well as a source of data for internal analysis. Statistics are compiled via HUD mandated annual income reviews involving NYCHA Staff and residents. Data is then aggregated and compiled by development. Each record pertains to a single public housing development.
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The New York City Housing and Vacancy Survey (NYCHVS) is a citywide survey designed to be representative of the NYC housing stock and community-dwelling population that is conducted about every three years by the City of New York. The NYCHVS has been conducted since 1965 and is the longest running housing survey in the country. The survey is mandated by New York State and New York City laws to measure the net rental vacancy rate and describe the supply, condition, and continued need for rent control and rent stabilization which covers half of the city's rental housing, or about 1 million apartments and 2.5 million tenants. Detailed data from the survey cover many characteristics of the New York City housing market, including characteristics of the City's population, household, housing stock, and neighborhoods. Other data include, but is not limited to, rent regulatory and home ownership status; structural conditions; unit maintenance and neighborhood conditions; crowding, rents, utility costs, type of heating fuel, rent/income ratios; owner purchase price and estimated value, mortgage status and interest rate; number of stories and units in building, cooperative/condominium status, and wheelchair accessibility. The data in this collection are organized by occupied units, vacant units, non-interviews, and individual person records. The 1991 NYCHVS is the 8th survey cycle. Data enable users to estimate various characteristics of housing and the community-dwelling population in New York City.
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TwitterOut of a total of *** million housing units in New York City in 2021, approximately ******* homes had housing costs between ** and ** percent of the household budget. New York City is notoriously known for its shortage of affordable housing: Overall, for a large percentage of New York City residents, housing costs exceeded ** percent.
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TwitterAs compared to the previous year, the median price for home sales in Manhattan, New York decreased in the first quarter of 2023. In that quarter, the home price reached the median of **** million U.S. dollars, down from *** million U.S. dollars the year before. In other New York boroughs, such as Brooklyn, and Queens, and Bronx, the median home prices followed the opposite trend.
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TwitterLocations of the public housing developments of the New York City Housing Authority.
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The NYC Housing dataset contains information about the New York City Housing and Preservation Department's (HPD) affordable housing development projects. It includes data on building characteristics, affordability levels, location, and ownership information for all properties in the dataset.
The dataset consists of several files, including Building Data, Project Data, and HPD Contacts. The Building Data file contains information on individual buildings, such as the building's address, number of units, and building type. The Project Data file contains information on the development projects that contain these buildings, including information on the funding programs used to develop the projects and the affordability levels of the units. The HPD Contacts file contains contact information for HPD employees responsible for the management of each project.
The NYC Housing dataset is a valuable resource for researchers, policymakers, and developers interested in affordable housing in New York City. It can be used to analyze trends in affordable housing development, identify neighborhoods with high levels of affordable housing, and evaluate the effectiveness of various affordable housing programs.
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Graph and download economic data for Housing Inventory: Median Listing Price in New York-Newark-Jersey City, NY-NJ-PA (CBSA) (MEDLISPRI35620) from Jul 2016 to Oct 2025 about NJ, New York, PA, NY, listing, median, price, and USA.
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License information was derived automatically
All-Transactions House Price Index for New York was 1136.35000 Index 1980 Q1=100 in April of 2025, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for New York reached a record high of 1136.35000 in April of 2025 and a record low of 72.54000 in January of 1976. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for New York - last updated from the United States Federal Reserve on November of 2025.
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TwitterThis dataset contains prices of New York houses, providing valuable insights into the real estate market in the region. It includes information such as broker titles, house types, prices, number of bedrooms and bathrooms, property square footage, addresses, state, administrative and local areas, street names, and geographical coordinates.
- BROKERTITLE: Title of the broker
- TYPE: Type of the house
- PRICE: Price of the house
- BEDS: Number of bedrooms
- BATH: Number of bathrooms
- PROPERTYSQFT: Square footage of the property
- ADDRESS: Full address of the house
- STATE: State of the house
- MAIN_ADDRESS: Main address information
- ADMINISTRATIVE_AREA_LEVEL_2: Administrative area level 2 information
- LOCALITY: Locality information
- SUBLOCALITY: Sublocality information
- STREET_NAME: Street name
- LONG_NAME: Long name
- FORMATTED_ADDRESS: Formatted address
- LATITUDE: Latitude coordinate of the house
- LONGITUDE: Longitude coordinate of the house
- Price analysis: Analyze the distribution of house prices to understand market trends and identify potential investment opportunities.
- Property size analysis: Explore the relationship between property square footage and prices to assess the value of different-sized houses.
- Location-based analysis: Investigate geographical patterns to identify areas with higher or lower property prices.
- Bedroom and bathroom trends: Analyze the impact of the number of bedrooms and bathrooms on house prices.
- Broker performance analysis: Evaluate the influence of different brokers on the pricing of houses.
If you find this dataset useful, your support through an upvote would be greatly appreciated ❤️🙂 Thank you