Normalized Property Addresses

Address Normalization

Datafiniti normalizes all street addresses in our property database. We convert common street designations to 2-3 character abbreviations. These conversions are shown below.

Property Search API Example

Let's say you want to search for the following address:

• 3407 Pennsylvania Avenue,  Austin, TX 78721

In this case, we will need to abbreviate suffix street name Avenue to Datafiniti's normalization. For this example we will use the following property search API query to show how Avenue would be abbreviated to Ave. Below is what address you would need to use in the API query. For a full list of possible values Datafiniti normalizes, see Possible Values for Property Fields.

{
  "query":"address:"3407 Pennsylvania Ave" AND city:Austin AND province:TX AND postalCode:78721",
  "num_records":1
}

Normalized Terms for Street Addresses Code

For a more detailed overview on how Datafiniti's approach to normalizing street addresses and how this process enhances the usability and consistency of address-related data.

The Datafiniti GitHub repo provides tools to standardize addresses by abbreviating street suffixes (e.g., "Street" → "ST", "Avenue" → "AVE"), directional terms (e.g., "North" → "N"), and regions, improving data consistency and API query performance (especially for Datafiniti).

Code Implementations

Features & Usage

• Dictionaries: Covers US/Canada street suffixes, directions; extensible.

• Java Example: abbreviateAddress("123 Main Street, Alberta, Northwest") → "123 Main ST, AB, NW".

• Python Example: normalize_address("123 Main Street Unit 5 North") → "123 Main St UNIT 5 N".

• Datafiniti Tie-in: Enhances queries like address:"123 Main ST" AND postalCode:"12345*" for better matches and deduplication.

Street address abbreviations