Is there a Home Insurance Database? Best Datasets & Databases 2025
- Overview
- Datasets
- Providers
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Attributes
- FAQ
What is Home Insurance Data?
Home insurance data refers to information related to insurance policies that provide coverage for residential properties. It includes details about the insured property, such as its location, size, and value, as well as information about the policyholder and the coverage provided. This data is used by insurance companies to assess risks, determine premiums, and process claims.
Examples of Home Insurance Data include information about the insured property, such as its location, size, and value, as well as details about the policyholder, such as their contact information and coverage limits. Home Insurance Data is used by insurance companies to assess risks, determine premiums, process claims, and manage policies. In this page, you’ll find the best data sources for Home Insurance Data. Is there a home insurance database?
Best Home Insurance Databases & Datasets
Here is our curated selection of top Home Insurance Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Global Home & Professional Service Data
190K Weekly Movers, Pre-Movers & Under Contract MLS Postal Mailing List | Home Ownership Data
US Home Insurance Leads - Prospect homeowners, before their policy renews with Cole XDates.
Transact Home & Garden Consumer Transaction Data | US Retail Sales Tickerized Data | 100M Credit & Debit Cards, 12K Merchants, 600 Tickers
Consumer Transaction Data | UK & FR | 600K+ daily active users | Financial Services - Insurance | Raw, Aggregated & Ticker Level
FSBO Listing Data | Active For Sale By Owner - FSBO Listings | Bulk | 40-60k Properties Daily | Residential Real Estate Data
Health Care Provider (HCP) Data | Physicians Data, Hospital Data | Global Coverage | Pharmaceutical Sales Targeting
BatchService - Contact Enrichment Data (Email Address Data + Phone Number Data), 12+ Data Points
TRAK Data - Full US Consumer Finance Data - Household Income, Wealth, Investments, Credit Card Behaviors, Insurance, Mortgage, Spending Habits
Scrape Real Estate Data 10x Faster From All Real Estate Sites & Database in USA & Worldwide - Zillow.com, Realtor.com, trulia.com, Century21, Redfin
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Top Home Insurance Data Providers & Companies
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McGRAW
CoverageUSAUK+248VWe have been working with McGRAW for over two years, and their real estate investment data has been crucial to our marketing efforts. Their excellent customer support and timely insights have greatly improved our campaign effectiveness, leading to multiple property contracts. Thanks to McGRAW, we are confident utilizing their data in our marketing and sales efforts to sell our remaining units. We look forward to continuing our partnership with their data team.
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Pixta AI
CoverageUSAUK+247VWe collaborated with Pixta on an AI project. Pixta surprised us with great labelling and annotation services. Pixta Team has a high standard for the services and always double checks with us during the project to ensure alignment. Moreover, Pixta has provided licenced images, even human images, so we have no worries about the legal issue. Pixta is our first-choice partner for all AI projects.
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Doorda
CoverageUKUnlock the full potential of UK data with Doorda! Our platform integrates thousands of datasets from over 1,500 sources, offering unmatched insights into UK properties, businesses, and demographics. Get real-time updates and turn data into strategic intelligence.1.88MPostcodes34.5MUK Addresses3.2MCommercial Addresses -
Rwazi
CoverageUSAUK+248Rwazi provides real-time consumer and retail data across 190+ countries through a hyper-local market intelligence platform. Using AI and 1.5M+ consumers, it delivers zero-party data with granular insights into demand, pricing, and competition, empowering brands with predictive analytics for growth.190+Countries1.5MConsumers4.6MRetail Outlets -
Factori
CoverageUSAUK+247BMobility data was used to track where people flock during quarantine, and to understand how people moved out of the urban centers and to the provinces. Might also be used for retail clients to understand what adjustments are needed to adapt better to the situation.
Main Attributes of Home Insurance Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The postal code of an address. | View 31 datasets | |
| String | The name of a brand. | View 7 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 6 datasets | |
| String | The ticker symbol of a stock. | View 6 datasets | |
| String | The currency code as per ISO 4217. | View 5 datasets | |
| String | The name of a city. | View 4 datasets |
Frequently Asked Questions
How is the Quality of Home Insurance Data Maintained?
The quality of Home Insurance Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Home Insurance Data Updated?
The update frequency for Home Insurance Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Home Insurance Data Secure?
The security of Home Insurance Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Home Insurance Data Delivered?
Home Insurance Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Home Insurance Data.
How Much Does Home Insurance Data Cost?
The cost of Home Insurance Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Home Insurance Data for your needs.
