Our Home Ownership Mortgage Database is rebuilt from every two months and contains information on over 50+ million US Homeowners. The data is collected from county recorder and assessor offices.

The file is processed via National Change of Address (NCOA) to ensure deliverability. Additionally, the data is passed against suppression files to eliminate consumers or telephone numbers as appropriate such as Decease File, State Attorney General (SAG) data, the Direct Marketing Association's (DMA) do-not-mail and do-not-call lists, and the national FTC do-not-call file.

Selections include mortgage loan and property attributes along with household, individual and neighborhood demographics.

Negative Equity in U.S. Housing Market

Measuring Home Values, Debt, and Credit Risk

By Zillow Data [source]

About this dataset

This dataset, Negative Equity in the US Housing Market, provides an in-depth look into the negative equity occurring across the United States during this single quarter. Included are metrics such as total amount of negative equity in millions of dollars, total number of homes in negative equity, percentage of homes with mortgages that are in negative equity and more. These data points provide helpful insights into both regional and national trends regarding the prevalence and rate of home mortgage delinquency stemming from a diminishment of value from peak levels.

Home types available for analysis include 'all homes', condos/co-ops, multifamily units containing five or more housing units as well as duplexes/triplexes. Additionally, Cash buyers rates for particular areas can also be determined by referencing this collection. Further metrics such as mortgage affordability rates and impacts on overall indebtedness are readily calculated using information related to Zillow's Home Value Index (ZHVI) forecast methodology and TransUnion data respectively.

Other variables featured within this dataset include characteristics like region type (i.e city, county ..etc), size rank based on population values , percentage change in ZHVI since peak levels as well as loan-to-value ratio greater than 200 across all regions constituted herein (NE). Moreover Zillow's own Secondary Mortgage Market Survey data is utilized to acquire average mortgage quote rates while correlative Census Bureau NCHS median household income figures represent typical assessable proportions between wages and debt obligations . So whether you're looking to assess effects along metro lines or detailed buffering through zip codes , this database should prove sufficient for insightful explorations! Nonetheless users must strictly adhere to all conditions encompassed within Terms Of Use commitments put forth by our lead provider before accessing any resources included herewith

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Research Ideas

• Analyzing regional and state trends in negative equity: Analyze geographic differences in the percentage of mortgages “underwater”, total amount of negative equity, number of homes at least 90 days late, and other key indicators to provide insight into the factors influencing negative equity across regions, states and cities.
• Tracking the recovery rate over time: Track short-term changes in numbers related to negative equity (e.g., region or area ZHVI Change from Peak) to monitor recovery rates over time as well as how different policy interventions are affecting homeownership levels in affected areas.
• Exploring best practices for promoting housing affordability: Compare affordability metrics (e.g., mortgage payments, price-to-income ratios) across different geographic locations over time to identify best practices for empowering homeowners and promoting stability within the housing market while reducing local inequality impacts related to availability of affordable housing options and access to credit markets like mortgages/loans etc

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: NESummary_2017Q1_Public.csv | Column name | Description | |:------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------| | RegionType | The type of region (e.g., city, county, metro etc.) (String) | | City | Name of the city (String) | | County | Name of the county (String) | | State | Name of the state (String) | | Metro ...

30 Year Mortgage Rate in the United States decreased to 6.23 percent in November 26 from 6.26 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.

📑 Column Descriptions

The percent of first lien mortgage applications for single family homes that were originated or approved out of all applications in the area. The Home Mortgage Disclosure Act (HMDA) requires many financial institutions to maintain, report, and publicly disclose information about mortgages in neighborhoods. Source: Consumer Financial Protection Bureau Years Available: 2019, 2021, 2022, 2023

Fannie Mae and Freddie Mac Loan-Level Dataset

Borrower Demographics, Loan-to-Value Ratios, and Census Tract Location

By Natarajan Krishnaswami [source]

About this dataset

The FHFA Public Use Databases provide an unprecedented look into the flow of mortgage credit and capital in America's communities. With detailed information about the income, race, gender and census tract location of borrowers, this database can help lenders, planners, researchers and housing advocates better understand how mortgages are acquired by Fannie Mae and Freddie Mac.

This data set includes 2009-2016 single-family property loan information from the Enterprises in combination with corresponding census tract information from the 2010 decennial census. It allows for greater granularity in examining mortgage acquisition patterns within each MSA or county by combining borrower/property characteristics, such as borrower's race/ethnicity; co-borrower demographics; occupancy type; Federal guarantee program (conventional/other versus FHA-insured); age of borrowers; loan purpose (purchase, refinance or home improvement); lien status; rate spread between annual percentage rate (APR) and average prime offer rate (APOR); HOEPA status; area median family income and more.

In addition to demographic data on borrowers and properties, this dataset also provides insight into affordability metrics such as median family incomes at both the MSA/county level as well as functional owner occupied bankrupt tracts using 2010 Census based geography while taking into account American Community Survey estimates available at January 1st 2016. This allows us to calculate metrics that are important for assessing inequality such as tract income ratios which measure what portion of an area’s median family income is made up by a single borrows earnings or the ratio between borrows annual income compared to an area’s average median family iincome for those year’s reporting period. Finally each record contains Enterprise Flags associated with whether loans were purchased my Fannie Mae or Freddie Mac indicating further insights regarding who is financing policies affecting undocumented immigrant labor access as well affordable housing legislation targeted towards first time home buyers

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How to use the dataset

This guide will provide you with all the information needed to use the Fannie Mae and Freddie Mac Loan-Level Dataset for 2016. The dataset contains loan-level data for both Fannie Mae and Freddie Mac, including loans acquired in 2016. It includes details such as homeowner demographics, loan-to-value ratio, census tract location, and affordability of mortgage.

The first step to using this dataset is understanding how it is organized. There are 38 fields that make up the loan level data set, making it easy to understand what is being looked at. For each field there is a description of what the field represents and potential values it can take on (i.e., if it’s an integer or float). Having an understanding of the different fields will help when querying certain data points or comparing/contrasting.

Once you understand what type of information is available in this dataset you can start to create queries or visualizations that compare trends across Fannie Mae & Freddie Mac loans made in 2016. Depending on your interest areas such as homeownership rates or income disparities certain statistics may be pulled from the dataset such as borrower’s Annual Income Ratio per area median family income by state code or a comparison between Race & Ethnicity breakdown between borrowers and co-borrowers from various states respective MSAs, among other possibilities based on your inquiries . Visualizations should then be created so that clear comparisons and contrasts could be seen more easily by other users who may look into this same dataset for additional insights as well .

After creating queries/visualization , you can dive deeper into research about corresponding trends & any biases seen within these datasets related within particular racial groupings compared against US Postal & MSA codes used within the 2010 Census Tract locations throughout the US respectively by further utilizing publicly available research material that looks at these subjects with regards housing policies implemented through out years one could further draw conclusions depending on their current inquiries

Research Ideas

• Use the dataset to analyze borrowing patterns based on race, nationality and gender, to better understand the links between minority groups and access to credit...

Mortgage Application in the United States increased by 0.20 percent in the week ending November 21 of 2025 over the previous week. This dataset provides - United States MBA Mortgage Applications - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Jumbo 30-Year Fixed Mortgage Rates

Zillow Home Value Forecast and Cash Buyer Data

By Zillow Data [source]

About this dataset

This dataset tracks the average jumbo mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate, jumbo mortgage in one-hour increments during business hours. It provides insight into changes in the housing market and helps consumers make wiser decisions with their investments. In addition to tracking monthly mortgage rates, our dataset also covers consumer's home types and housing stock, cash buyer data, Zillow Home Value Forecast (ZHVF), negative equity metrics, affordability forecasts for both mortgages and rents as well as historic data including historical ZHVI and household income. With this unique blend of financial and real estate information, users are empowered to make more informed decisions about their investments. The data is updated weekly with the most recent statistics available so that users always have access to up-to-date information

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How to use the dataset

How to Use This Dataset:

• To start exploring this dataset, identify what type of home you are interested in by selecting one of the four categories: “all homes” (Zillow defines all homes as single family, condominiums and coops with a county record); multifamily 5+; duplex/triplex; or condos/coops.
• Understand additional data products that are included such as Zillow Home Value Forecast (ZHVF), Cash Buyers % share, affordability metrics like mortgage affordability or rental affordability and historical ZHVI values along with its median value for particular households or geographies which needs deeper insights into other endogenous variables such detailed information like how many bedrooms a house has etc.

• Choose your geographic region on which you would want to collect more information– regions could include city breakdowns from nationwide level down till specific metropolitan etc . Also use special crosswalks available if needed between federally defined metrics for counties / metro areas combined with Zillow's own ones for greater accuracy when analysing external facors effect on data . To download all datasets at once - click here. .

• Gather more relevant external factors for analysis such as home values forecasts using our published methodology post given url , further to mention TransUnion credit bureau related debt amounts also consider median household incomes vis Bureaus of Labor Cost Indexes ; All these give us greater dimensional insights into market dynamics affecting any particular region finally culminating into deeper research findings when taken together . The reasons behind any fluctions observed can be properly derived as a result .

          Finally make sure that proper attribution is alwys done following mentioned Terms Of Use while downloading since 'All Data Accessed And Downloaded From This Page Is Free For Public Use By Consumers , Media
  

Research Ideas

• Using the Mortgage Rate Data to devise strategies to help persons purchasing jumbo mortgages determine the best time and rates to acquire a loan.
• Analyzing trends in the market by investigating changes in affordability over time by studying rent and mortgage affordability, price-to-income ratios, and historical ZHVIs with cash buyers.
• Comparing different areas of housing markets over diverse geographies using data on all homes, condos/co-ops, multifamily dwellings 5+ units, duplexes/triplexes across various counties or metro areas

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: MortgageRateJumboFixed.csv | Column name | Description | |:---------------------------|:---------------------------------------------------------------------------------------------------------------| | Date | The date of the mortgage rate. (Date) | | TimePeriod | The time period of the ...

Comprehensive proprietary research analyzing 312,367 assumable mortgage homes from 2023-2025 across all 50 states, including interest rates, savings analysis, state distribution, price ranges, and down payment requirements.

Fixed 30-year mortgage rates in the United States averaged 6.40 percent in the week ending November 21 of 2025. This dataset provides the latest reported value for - United States MBA 30-Yr Mortgage Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Like other Assessor and Recorder data sets from First American, BlackKnight, ATTOM or HouseCanary, we provide both residential real estate and commercial restate data on homes, properties and pracels nationally.

Over 250M parcels, updated daily.

Access detailed property and tax assessment records with our extensive nationwide database. This robust dataset provides comprehensive information about residential and commercial properties, including detailed ownership, valuation, and transaction history. Core Data Elements:

Complete property identification (APNs, Tax IDs) Full property addresses with geocoding Precise latitude/longitude coordinates FIPS codes and Census tract information School district assignments

Property Characteristics:

Detailed lot dimensions and size Building square footage breakdowns Living area measurements Basement and attic specifications Garage and parking information Year built and effective year Number of bedrooms and bathrooms Room counts and configurations Building class and condition codes Construction details and materials Property amenities and features

Valuation Information:

Current AVM (Automated Valuation Model) values Confidence scores and value ranges Market valuations with dates Assessed values (land and improvements) Tax amounts and years Tax rate codes and districts Various tax exemption statuses

Transaction History:

Current and previous sale details Recording dates and document numbers Sale prices and price codes Buyer and seller information Multiple mortgage records including:

Loan amounts and terms Lender information Recording dates Interest rates Due dates Loan types and positions

Ownership Details:

Current owner information Corporate ownership indicators Owner-occupied status Mailing addresses Care of names Foreign address indicators

Legal Information:

Complete legal descriptions Subdivision details Lot and block numbers Zoning information Land use codes HOA information and fees

Property Status Indicators:

Vacancy flags Pre-foreclosure status Current listing status Price ranges Market position

Perfect For:

Real Estate Professionals

Property researchers Title companies Real estate attorneys Appraisers Market analysts

Financial Services

Mortgage lenders Insurance companies Investment firms Risk assessment teams Portfolio managers

Government & Planning

Urban planners Tax assessors Economic developers Policy researchers Municipal agencies

Data Analytics

Market researchers Data scientists Economic analysts GIS specialists Demographics experts

Data Delivery Features:

Multiple format options Regular updates Bulk download capability Custom field selection Geographic filtering API access available Standardized formatting Quality assured data

Quality Assurance:

Verified against public records Regular updates Standardized formatting Address verification Geocoding validation Duplicate removal Data normalization Quality control processes

This comprehensive property database provides unprecedented access to detailed property information, perfect for industry professionals requiring in-depth property data for analysis, research, or business development. Our data undergoes rigorous quality control processes to ensure accuracy and completeness, making it an invaluable resource for real estate professionals, financial institutions, and government agencies. Updated continuously from authoritative sources, this dataset offers the most current and accurate property information available in the market. Custom data extracts and specific geographic coverage options are available to meet your exact needs.

Weekly/Quarterly/Annual and One-time options are available for sale.

See our sample

This hosted feature layer has been published in RI State Plane Feet NAD 83.The RI Neighborhood Stabilization Program (NSP) Mapping analysis was performed to assist the Office of Housing and Community Development in identifying target areas with both a Foreclosure Rate (Block Group Level) >=6.5% and a Subprime Loan percentage rate >= 1.4% (Zip Code Level). Based on these criteria the following communities were identified as containing such target areas: Central Falls, Cranston, Cumberland, East Providence, Johnston, North Providence, Pawtucket, Providence, Warwick, West Warwick, and Woonsocket. Federal funding, under the Housing and Economic Recovery Act of 2008 (HERA), Neighborhood Stabilization Program (NSP), totaling $19.6 will be expended in these NSP Target Areas to assist in the rehabilitation and redevelopment of abandoned and foreclosed homes, stabilizing communities.The State of Rhode Island distributes funds allocated, giving priority emphasis and consideration to those areas with the greatest need, including those areas with - 1) Highest percentage of home foreclosures; 2) Highest percentage of homes financed by subprime mortgage loans; and 3) Anticipated increases in rate of foreclosure. The RI Office of Housing and Community Development, with the assistance of Rhode Island Housing, utilized the following sources to meet the above requirements. 1) U.S. Department of Housing & Urban Development (HUD) developed foreclosure data to assist grantees in identification of Target Areas. The State utilized HUD's predictive foreclosure rates to identify those areas which are likely to face a significant rise in the rate of home foreclosures. HUD's methodology factored in Home Mortgage Disclosure Act, income, unemployment, and other information in its calculation. The results were analyzed and revealed a high level of consistency with other needs data available. 2) The State obtained subprime mortgage loan information from the Federal Reserve Bank of Boston. Though the data does not include all mortgages, and was only available at the zip code level rather than Census Tract, findings were generally consistent with other need categories. This data was joined to the Foreclosure dataset in order to select areas with both a Foreclosure Rate >=6.5% and a Subprime Loan Rate >=1.4%. 3) The State also obtained, from the Warren Group, actual local foreclosure transaction records. The Warren Group is a source for real estate and banking news and transaction data throughout New England. This entity has analyzed local deed records in assembling information presented. The data set was normalized due to potential limitations. An analysis revealed a high level of consistency with HUD-predictive foreclosure rates.

Ebitda-Per-Share Time Series for Porch Group Inc. Porch Group, Inc., together with its subsidiaries, operates a vertical software and insurance platform in the United States. The company operates in home-related product and service industries, including insurance, mortgage software, title insurance software, warranty, moving services, inspection software, home repair, and marketing, financial, and other software for home services companies. It also provides insurance and warranty products to protect their homes; and property-related insurance, whole-home, 90-day, service line, and extended labor warranties under the Porch Warranty, American Home Protect, and Residential Warranty Services brands. In addition, the company offers software and services to inspection, mortgage, and title companies on a subscription and transactional basis, as well as move and post-move services. Further, it provides inspection software and services, mortgage software, moving services, mover and homeowner marketing, and measurement software for roofers. The company was founded in 2011 and is headquartered in Seattle, Washington.

This data set contains Help to Buy: Equity Loan statistics at postcode district level. For data released from 5 March 2015 onwards, the Homes and Community Agency (HCA) have revised the completion date for the entire Help to Buy Equity Loan time series. The HCA have stopped counting payment date (when the money out is paid out by the HCA) and now report on the expected actual completion date. It is more accurate and is closer to the live situation, especially when HCA now recognise an asset based on a completion, rather than exchange and approved claim. As a result (and due to reinstating accounts) HCA have seen movement of actual completions dates. There should not be this level of difference moving forward, it was a one off activity. The figures cover the launch of the scheme on 1 April 2013 until 30 September 2016. Figures have been attributed to an individual constituency by reconciling data against the ONS Postcode Directory (May 2014) where possible. Figures for some constituencies may be subject to revision later in the year. For sales before 31 March 2014, properties are included under the local authority district to which they were initially allocated. In some cases, this differs from latest information, which forms the basis of the first column of local authority district figures. Figures for some local authorities may be subject to revisions later in the year. Although local authority information is validated against other geographic data at the time of data entry, detailed reconciliation of the data, conducted twice a year, may result in a small number of changes to these monthly releases, for example where a new development crosses a local authority boundary. An equity loan is Government financial assistance given to eligible applicants to purchase an eligible home through a Government equity mortgage secured on the home. The Government equity mortgage is ranked second in priority behind an owner’s main mortgage lender. This scheme offers up to 20 per cent of the value as Government assistance to purchasers buying a new build home. The buyer must provide a cash deposit of at least 5 per cent and a main mortgage lender must provide a loan of at least 75 per cent. The Government assistance to buy is made through an equity loan made by the Homes and Communities Agency (HCA) to the purchaser. Help to Buy equity loans are only available on new build homes and the maximum purchase price is £600,000. Equity loan assistance for purchasers is paid via house builders registered with the HCA to participate in the Help to Buy equity loan initiative. The payment is made to builders (via solicitors) at purchaser legal completion. The equity loan is provided without fees for the first five years of ownership. The property title is held by the home owner who can therefore sell their home at any time and upon sale should provide the government the value of the same equity share of the property when it is sold. For further information see Help to Buy (equity loan) scheme monthly statistics.

Listing of SONYMA target areas by US Census Bureau Census Tract or Block Numbering Area (BNA). The State of New York Mortgage Agency (SONYMA) targets specific areas designated as ‘areas of chronic economic distress’ for its homeownership lending programs. Each state designates ‘areas of chronic economic distress’ with the approval of the US Secretary of Housing and Urban Development (HUD). SONYMA identifies its target areas using US Census Bureau census tracts and block numbering areas. Both census tracts and block numbering areas subdivide individual counties. SONYMA also relates each of its single-family mortgages to a specific census tract or block numbering area. New York State identifies ‘areas of chronic economic distress’ using census tract numbers. 26 US Code § 143 (current through Pub. L. 114-38) defines the criteria that the Secretary of Housing and Urban Development uses in approving designations of ‘areas of chronic economic distress’ as: i) the condition of the housing stock, including the age of the housing and the number of abandoned and substandard residential units, (ii) the need of area residents for owner-financing under this section, as indicated by low per capita income, a high percentage of families in poverty, a high number of welfare recipients, and high unemployment rates, (iii) the potential for use of owner-financing under this section to improve housing conditions in the area, and (iv) the existence of a housing assistance plan which provides a displacement program and a public improvements and services program. The US Census Bureau’s decennial census last took place in 2010 and will take place again in 2020. While the state designates ‘areas of chronic economic distress,’ the US Department of Housing and Urban Development must approve the designation. The designation takes place after the decennial census.

This data set contains Help to Buy: Equity Loan statistics at local authority level and includes total equity loans and equity loans to first time buyers . For data released from 5 March 2015 onwards, the Homes and Community Agency (HCA) have revised the completion date for the entire Help to Buy Equity Loan time series. The HCA have stopped counting payment date (when the money out is paid out by the HCA) and now report on the expected actual completion date. It is more accurate and is closer to the live situation, especially when HCA now recognise an asset based on a completion, rather than exchange and approved claim. As a result (and due to reinstating accounts) HCA have seen movement of actual completions dates. There should not be this level of difference moving forward, it was a one off activity. The figures cover the launch of the scheme on 1 April 2013 until 30 September 2016.

Information on the allocation of completed sales to postcode sectors is derived using the latest available information on the full postcode for each scheme, which may be subject to revision.

For sales before 31 March 2014, properties are included under the local authority district to which they were initially allocated. In some cases, this differs from latest information, which forms the basis of the first column of local authority district figures. Figures for some local authorities may be subject to revisions later in the year.

Although local authority information is validated against other geographic data at the time of data entry, detailed reconciliation of the data, conducted twice a year, may result in a small number of changes to these monthly releases, for example where a new development crosses a local authority boundary.

An equity loan is Government financial assistance given to eligible applicants to purchase an eligible home through a Government equity mortgage secured on the home. The Government equity mortgage is ranked second in priority behind an owner’s main mortgage lender.

This scheme offers up to 20 per cent of the value as Government assistance to purchasers buying a new build home. The buyer must provide a cash deposit of at least 5 per cent and a main mortgage lender must provide a loan of at least 75 per cent.

The Government assistance to buy is made through an equity loan made by the Homes and Communities Agency (HCA) to the purchaser.

Help to Buy equity loans are only available on new build homes and the maximum purchase price is £600,000. Equity loan assistance for purchasers is paid via house builders registered with the HCA to participate in the Help to Buy equity loan initiative. The payment is made to builders (via solicitors) at purchaser legal completion.

The equity loan is provided without fees for the first five years of ownership.

The property title is held by the home owner who can therefore sell their home at any time and upon sale should provide the government the value of the same equity share of the property when it is sold.

For further information see
Help to Buy (equity loan) scheme monthly statistics.

This data set contains Help to Buy: Equity Loan statistics at local authority level. The figures cover the launch of the scheme on 1 April 2013 until 31 October 2014. Information on the allocation of completed sales to postcode sectors is derived using the latest available information on the full postcode for each scheme, which may be subject to revision. For sales before 31 March 2014, properties are included under the local authority district to which they were initially allocated. In some cases, this differs from latest information, which forms the basis of the first column of local authority district figures. Figures for some local authorities may be subject to revisions later in the year. Although local authority information is validated against other geographic data at the time of data entry, detailed reconciliation of the data, conducted twice a year, may result in a small number of changes to these monthly releases, for example where a new development crosses a local authority boundary. An equity loan is Government financial assistance given to eligible applicants to purchase an eligible home through a Government equity mortgage secured on the home. The Government equity mortgage is ranked second in priority behind an owner’s main mortgage lender. This scheme offers up to 20 per cent of the value as Government assistance to purchasers buying a new build home. The buyer must provide a cash deposit of at least 5 per cent and a main mortgage lender must provide a loan of at least 75 per cent. The Government assistance to buy is made through an equity loan made by the Homes and Communities Agency (HCA) to the purchaser. Help to Buy equity loans are only available on new build homes and the maximum purchase price is £600,000. Equity loan assistance for purchasers is paid via house builders registered with the HCA to participate in the Help to Buy equity loan initiative. The payment is made to builders (via solicitors) at purchaser legal completion. The equity loan is provided without fees for the first five years of ownership. The property title is held by the home owner who can therefore sell their home at any time and upon sale should provide the government the value of the same equity share of the property when it is sold. For further information see Help to Buy (equity loan) scheme monthly statistics.

This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).

This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Atlantic provinces ...), Housing estimates (3 items: Housing starts; Housing under construction; Housing completions ...), Type of unit (6 items: Total units; Multiples; Single-detached; Semi-detached ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted at annual rates ...).

Cash-Flow-Per-Share Time Series for NVR Inc. NVR, Inc. operates as a homebuilder in the United States. The company operates through, Homebuilding and Mortgage Banking segments. It engages in the construction and sale of single-family detached homes, townhomes, and condominium buildings under the Ryan Homes, NVHomes, and Heartland Homes names. The company markets its Ryan Homes products to first-time and first-time move-up buyers; and NVHomes and Heartland Homes products to move-up and luxury buyers. It also provides various mortgage related services to its homebuilding customers, as well as brokers title insurance; performs title searches; and sells mortgage loans to investors in the secondary markets on a servicing released basis. The company primarily serves in Maryland, Virginia, West Virginia, Delaware, New Jersey, Eastern Pennsylvania, New York, Ohio, Western Pennsylvania, Indiana, Illinois, North Carolina, Georgia, Kentucky, South Carolina, Florida, Tennessee, and Washington, D.C. NVR, Inc. was founded in 1948 and is headquartered in Reston, Virginia.