Find people who have recently purchased a home in any neighborhood anywhere in the USA. This covers only homeowners - not renters. Filter by people who moved in-state or out-of-state, in-city or out-of-city, in-zip-code or out-of-zip-code. Also filter by dwelling type and recency of their move.

ListBuilder allows you to build targeted lists of specific US homeowners, property owners, potential borrowers, commercial owners, and home services consumers based on specific location, demographic profiles, property characteristics, and homeowner financials. Contact data included!

With Speedeon's New Mover Data, you can market to movers when it matters most. Each year, 36 million people move. During the year surrounding this big life event, movers make approximately 72 brand-related decisions and spend nearly $9,000. For brands that offer products and services, especially top of mind for those in the "moving mindset", reaching individuals at the exact right time is key.

Speedeon's mover data is ideal for customer acquisition, retention and CRM matching, especially for products like - Financial services and loan products - Subscription services - Entertainment - Local businesses like gyms and restaurants - Furniture and appliances - Home improvements - Moving services - Banking services

Our data includes key data points including name, address, phone and email.

A sample of Speedeon's new mover data sources include: - Change of address forms including subscriptions - U.S. census bureau - County records, courthouse filings & title companies - Telco records including phone, utility and cable connects & disconnects - Real estate agency and records - Sale by owner sites and pending sales - Newspapers and other online publications

Speedeon's mover data is updated daily and undergoes additional data enhancements and verifications such as CASS and NCOA. In addition, our New Mover Data undergoes rigorous analysis, quality assessment and third-party verification.

Find people who have recently moved into any neighborhood anywhere in the USA. This covers both renters and homeowners. Filter by movers in-state or out-of-state, in-city or out-of-city, in-zip-code or out-of-zip-code. Also filter by dwelling type and recency of their move

Comprehensive dataset of 19 Homeowners' associations in Egypt as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Homeowner's Associations (HOAs) are a membership group of people that serves a specific purpose with respect to a specific community or a group of homeowners in a specific geographic area. The homeowner's association usually has a formal structure with elected leaders and rules require membership in the association. The Planning Department maintains a list of organizations to keep residents informed. Developers use our list to publicize their application plans, and we send announcements about planning issues of interest to the community. Providing current email addresses cuts costs and ensures a rapid flow of information.A Civic Association is not a governing body. Rather, it is a membership group of people that serves a specific purpose with respect to a specific community or a group of homeowners in a specific geographic area. Civic associations exist to improve a neighborhood through volunteer efforts of its members. The Planning Department maintains a list of organizations to keep residents informed. Developers use our list to publicize their application plans, and we send announcements about planning issues of interest to the community. Providing current email addresses cuts costs and ensures a rapid flow of information.The Homeowners and Civic Associations Tools page on the Planning Department website has tools for generating mailing lists and for updating homeowner and civic association contact information.For more information, contact: GIS Manager Information Technology & Innovation (ITI) Montgomery County Planning Department, MNCPPC T: 301-650-5620

Prospect homeowners, before their policy renews, quickly build multi-line, stage of life, and homeowner x-date lists with up to three points of contact. Keep your agency competitive and beat the click-to-quote competition with a solid multi-channel lead gen strategy.

• Cell Phone s and Email Addresses
• Homeowner info including length of residence, policy expiration dates etc..
• Customizable maps so you can find your sweet spot

BatchData provides access to 150+ million residential and commercial properties and property owners, covering 99+% of the us population. Enrich records, build lists, or power real estate websites and application based on:

• Property Type
• Property Owner Info
• Building Characteristics
• MLS Listing Details
• Foreclosure Information
• Distress Factors
• Mortgage Details
• Household Demographics
• Ownership/Vacancy Status
• Home Equity
• Real Estate Valuation
• Property Liens
• Transfer of Sale, Probate, Inherited
• Much more!

BatchData is both a data and technology company, offering multiple self-service platforms, APIs and professional services solutions to meet your specific data needs. Whether you're looking for residential real estate data, commercial real estate data, property listing and transaction data, we've got you covered!

BatchData is the most comprehensive aggregator of US property and homeowner information, known for accuracy and completeness of records. BatchService can also provides homeowner and agency contact information for residential and commercial properties, including cell phone number and emails.

Comprehensive dataset of 30 Homeowners' associations in Italy as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Search a wide range of property data, homeowner data, demographic data, and financial attributes and return a list of relevant residential or commercial properties. 155M+ Properties Nationwide, 1,300+ Search Parameters, Updated Daily.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

BatchData Marketing Prospects data are frequently used to find new leads to target. BatchData is committed to data quality, providing accurate, up-to-date marketing data through a suite of APIs, data delivery services, and self-service tools.

MARKETING LISTS WITH CONTACT INFORMATION BatchData uniquely provides emails and phone numbers of marketable contacts in your list. With industry-leading right party contact rates, you'll get the most out of your marketing and prospects lists. We've got you covered with the highest quality prospect data for your business - B2C Contact data including new homeowner data, phone number data, email address data, and more!

THE DATA DIFFERENCE: We start by sourcing data from multiple providers, cleaning and enriching the data with our in-house data science team, and leveraging user feedback to continually refine property and contact records.

ACCESS MARKETING PROSPECTS DATA INCLUDING: US Homeowners Marketing Prospect Data Updated daily using multiple public record sources including county assessors and recorders.

New Homeowner Data Market to homeowner as they move in and are looking for products and services. Includes MLS information and data compiled from deed recordings.

Distressed Property Owner Marketing Prospect Data Identify homeowners with financial, situational, or physical property distress factors. Including Defaults, lis Pendents, auctions, pre-foreclosures, vacant properties, out-of-state owners, and more.

Commercial Property Marketing Prospect Data Target 25M+ commercial, agricultural, and industrial marketing prospects with reliable entity resolution to uncover true commercial prospects behind LLCs and corporate veils.

INVESTOR MARKETING PROSPECT DATA Market to prospects who own multiple properties, or are actively making cash investments in specific types of real estate assets.

REAL ESTATE AGENT MARKETING PROSPECT DATA Target specific agents to market products and services to including the ability to focus on transactional volume, number of transactions, and the types of properties agents and specific MLS markets your ideal agents are representing.

Comprehensive dataset of 79 Homeowners' associations in United Kingdom as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 5 Homeowners' associations in Belgorod Oblast, Russia as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

HOA's are a membership group of people that serves a specific purpose with respect to a specific community or a group of homeowners in a specific geographic area. The homeowners association usually has a formal structure with elected leaders and rules require membership in the association.

The Planning Department maintains a list of organizations to keep residents informed. Developers use our list to publicize their application plans, and we send announcements about planning issues of interest to the community. Providing current email addresses cuts costs and ensures a rapid flow of information. The Homeowners and Civic Associations Tools page on the Planning Department website has tools for generating mailing lists and for updating homewowners association contact information.For more information, contact: GIS Manager Information Technology & Innovation (ITI) Montgomery County Planning Department, MNCPPC T: 301-650-5620

Graph and download economic data for Homeownership Rate in the United States (RHORUSQ156N) from Q1 1965 to Q1 2025 about homeownership, housing, rate, and USA.

Comprehensive dataset of 1 Homeowners' associations in Phrae, Thailand as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 39 Homeowners' associations in Novosibirsk Oblast, Russia as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

In the realm of real estate data solutions, BatchData Property Data Search API emerges as a technical marvel, tailored for product and engineering leadership seeking robust and scalable solutions. This purpose-built API seamlessly integrates diverse datasets, offering over 600 data points, to provide a holistic view of property characteristics, valuation, homeowner information, listing data, county assessor details, photos, and foreclosure information. With state-of-the-art infrastructure and performance features, BatchData sets the standard for efficiency, reliability, and developer satisfaction.

Unraveling the Technical Prowess of BatchData Property Data Search API:

State-of-the-Art Infrastructure: At the heart of BatchData lies a state-of-the-art infrastructure that leverages the latest technologies available. Our systems are engineered to handle increased loads and growing datasets with ease, ensuring optimal performance without significant degradation. This commitment to technological advancement ensures that our data infrastructure and API systems operate at peak efficiency, even in the face of evolving demands and complexities.

Integration Capabilities: BatchData boasts integration capabilities that are second to none, thanks to our innovative data lake house architecture. This architecture empowers us to seamlessly integrate our data with any data platforms or pipelines in a matter of minutes. Whether it's connecting with existing data systems, third-party applications, or internal pipelines, our API offers limitless integration possibilities, enabling product and engineering teams to unlock the full potential of property data with minimal effort.

Developer Documentation: One of the hallmarks of BatchData is our clear and comprehensive developer documentation, which developers love. We understand the importance of providing developers with the resources they need to integrate our API seamlessly into their projects. Our documentation offers detailed guides, code samples, API reference materials, and best practices, empowering developers to hit the ground running and leverage the full capabilities of BatchData with confidence.

Performance Features: BatchData Property Search API is engineered for performance, delivering lightning-fast response times and seamless scalability. Our API is designed to efficiently handle increased loads and growing datasets, ensuring that users experience minimal latency and maximum reliability. Whether it's retrieving property data, conducting complex queries, or accessing real-time updates, our API delivers exceptional performance, empowering product and engineering teams to build high-performance applications and systems with ease. BatchData's APIs work for both residential real estate data and commercial real estate data.

Common Use Cases for BatchData Property Data Search API:

Powering Data-Driven Applications: Product and engineering teams can leverage BatchData Property Data Search API to power data-driven applications tailored for the real estate industry. Whether it's building real estate websites, mobile applications, or internal tools, our API offers comprehensive property data that can drive informed decision-making, enhance user experiences, and streamline operations.

Enabling Advanced Analytics: With BatchData, product and engineering leaders can unlock the power of advanced analytics and reporting capabilities. Our API provides access to rich property data, enabling analysts and researchers to uncover insights, identify trends, and make data-driven recommendations with confidence. Whether it's analyzing market trends, evaluating investment opportunities, or conducting competitive analysis, BatchData empowers teams to derive actionable insights from vast property datasets.

Optimizing Data Infrastructure: BatchData Property Data Search API can play a pivotal role in optimizing data infrastructure within organizations. By seamlessly integrating our API with existing data platforms and pipelines, product and engineering teams can streamline data workflows, improve data accessibility, and enhance overall data infrastructure efficiency. Our API's integration capabilities and performance features ensure that organizations can leverage property data seamlessly across their data ecosystem, driving operational excellence and innovation.

Conclusion: BatchData Property Data Search API stands at the forefront of real estate data solutions, offering product and engineering leaders a comprehensive, scalable, and high-performance API for accessing property data. With state-of-the-art infrastructure, seamless integration capabilities, clear developer documentation, and exceptional performance features, BatchData empowers teams to build data-driven applications, optimize data infrastructure, and unlock actionable insights with ease. As the real estate industry continues to evolve, BatchData remains committed to delivering innovative sol...

The number of U.S. home sales in the United States declined in 2024, after soaring in 2021. A total of four million transactions of existing homes, including single-family, condo, and co-ops, were completed in 2024, down from 6.12 million in 2021. According to the forecast, the housing market is forecast to head for recovery in 2025, despite transaction volumes expected to remain below the long-term average. Why have home sales declined? The housing boom during the coronavirus pandemic has demonstrated that being a homeowner is still an integral part of the American dream. Nevertheless, sentiment declined in the second half of 2022 and Americans across all generations agreed that the time was not right to buy a home. A combination of factors has led to house prices rocketing and making homeownership unaffordable for the average buyer. A survey among owners and renters found that the high home prices and unfavorable economic conditions were the two main barriers to making a home purchase. People who would like to purchase their own home need to save up a deposit, have a good credit score, and a steady and sufficient income to be approved for a mortgage. In 2022, mortgage rates experienced the most aggressive increase in history, making the total cost of homeownership substantially higher. Are U.S. home prices expected to fall? The median sales price of existing homes stood at 413,000 U.S. dollars in 2024 and was forecast to increase slightly until 2026. The development of the S&P/Case Shiller U.S. National Home Price Index shows that home prices experienced seven consecutive months of decline between June 2022 and January 2023, but this trend reversed in the following months. Despite mild fluctuations throughout the year, home prices in many metros are forecast to continue to grow, albeit at a much slower rate.