Datasets

Property Attributes

Property Attributes Data from AFD

AFD Software has been providing accurate address solutions for over 40 years. Thousands of organisations partner with The Postcode People at AFD to validate and cleanse address and location data.

AFD’s best-in-class expertise also covers linking additional datasets to addresses.

One of these datasets is what we call “property attributes” and gives additional insight into not only the property, but the people that reside there, their demographic, building detail, and specific insurance data.

Different Property Types

Property Attribute Data from AFD includes:

Family type outside their property

Occupant information:

Household size, life stage (e.g., “Young and Single”), number of children, etc.

Property details:

Ownership status, type of residence, number of rooms, number of bedrooms, number of kitchens, type of residence (detached, bungalow, terrace), year built, current value, fuel and roof type, and listing status (e.g., “Available” or “Under Offer”).

Car beloning to a property that may have insurance

Insurance-specific data:

Renewal months for home, contents, vehicle, and other policies.

Not limited to One Sector

AFD’s customers can be found in every sector requiring accurate address data, some of the specific use cases for Property Attributes Data includes:

Insurance sector:

This detailed data enables insurers to better assess risk and customise policies by understanding occupant characteristics, property attributes, and insurance renewal cycles. For example, knowing whether a household has pets or the number of occupants can affect premiums.

Retail sector:

Retailers can better target marketing efforts by identifying households with children or specific life stages, aligning offers to their needs, and enhancing product placement strategies.

Finance and Banking sector:

Banks and lenders benefit from accurate property values and household information for more precise mortgage risk assessments and loan approvals.

Logistics Sector:

Knowing property types, household composition, and occupancy helps logistics companies plan deliveries and services more effectively, reducing operational inefficiencies.

Attributes

A full list of all the Property Characteristics that can be returned with AFD’s Address Lookup API or appended to address databases can be found below or in more detail by visiting our documentation

Lone Parent
Number of Children under 18 at property
Individual Lifestage
Summary Household Composition
Household Size-number of adults in household
Has Child in household 0-4 years old
Has Child in household 5-7 years old
Has Child in household 8-10 years old
Has Child in household 11-16 years old
Has Child in household 17-21 years old
Home Ownership Status
Has Pets (any undefined pet)
Has Cat (specifically)
Has Dog (specifically)
Home Insurance Renewal Month (joint buildings and contents)
Contents Insurance Renewal Month (just contents insurance renewal)
Buildings Insurance Renewal Month (just buildings insurance renewal month)
Motor Insurance Renewal Month
Car Insurance Renewal Month
Van Insurance Renewal Month
Pet Insurance Renewal Month
Travel Insurance Renewal Month
Motorbike Insurance Renewal Month
Type of Residence
The number of bedrooms in a property
The number of rooms within a property excluding bathrooms and kitchen
The year the property has been recorded as being built
The current estimated value of the property
The current listing status of the property
The date of the last transaction recorded by the Land Registry (data goes back to 1995)
The estimated value of the property split into £100,000 bands for ease of selection
Whether the property is listed by English Heritage
Flag indicating whether there is a watercourse within 200 metres
The distance (in metres) to a watercourse if it is within 200 metres
The distance to the centre line of the nearest road
The distance from the nearest tree over 10 metres tall to the property geocode
The number of burglaries per property per year averaged over a LSOA
The main type of fuel used by the property's heating system
What walls the property contains
The main method of which the property is heated
The type of roof a property has (Flat)
The average slope of the property roof
The estimated fraction of a property which has a flat roof
The number of bathrooms in the property
The value of home contents cover
Building Construction Period
Bungalow
Name of AFD Product in use
The Country Name for the data returned
The estimated property value
The lower confidence limit of the property value (95%)
The upper confidence limit of the property value (95%)
The estimated year the property was built
The upper limit of the estimated year the property was built
The lower limit of the estimated year the property was built
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