Random address in Dallas, Wisconsin, United States

1 postcode areas in Dallas, Wisconsin, United States. Every address keeps the real city, region and postcode together; the street and house number are invented.

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Test data: real cities, regions and postcodes with invented streets and house numbers. Not verified for delivery. Do not use them to pass identity or address checks, to order deliveries, or to mislead anyone.

Type 2+ letters and pick a city.

1–100 per batch.

Random addresses in Dallas, Wisconsin, United States

10 addresses generated.

  1. Street address
    3499 College Trl
    City
    Dallas
    Postcode / ZIP
    54733
    State / region
    Wisconsin
    Country
    United States
  2. Street address
    543 Forest Ct
    City
    Dallas
    Postcode / ZIP
    54733
    State / region
    Wisconsin
    Country
    United States
  3. Street address
    1219 Oak Ct
    City
    Dallas
    Postcode / ZIP
    54733
    State / region
    Wisconsin
    Country
    United States
  4. Street address
    1255 7th Pkwy
    City
    Dallas
    Postcode / ZIP
    54733
    State / region
    Wisconsin
    Country
    United States
  5. Street address
    1261 Laurel Rd
    City
    Dallas
    Postcode / ZIP
    54733
    State / region
    Wisconsin
    Country
    United States
  6. Street address
    3342 Forest Ct
    City
    Dallas
    Postcode / ZIP
    54733
    State / region
    Wisconsin
    Country
    United States
  7. Street address
    4874 Dogwood Dr
    City
    Dallas
    Postcode / ZIP
    54733
    State / region
    Wisconsin
    Country
    United States
  8. Street address
    149 Union Ter
    City
    Dallas
    Postcode / ZIP
    54733
    State / region
    Wisconsin
    Country
    United States
  9. Street address
    7270 Magnolia Trl
    City
    Dallas
    Postcode / ZIP
    54733
    State / region
    Wisconsin
    Country
    United States
  10. Street address
    4402 Dogwood Ave
    City
    Dallas
    Postcode / ZIP
    54733
    State / region
    Wisconsin
    Country
    United States
Population
  1. Milwaukee 563,531
  2. Madison 280,305
  3. Green Bay 105,207
  4. Kenosha 99,858
  5. Racine 77,742
  6. Appleton 74,139
  7. Waukesha 71,970
  8. Eau Claire 67,778
  9. Oshkosh 66,555
  10. Janesville 64,123
  11. West Allis 60,620
  12. La Crosse 52,306

Anatomy of an address in Dallas, Wisconsin, United States

Postcodes come from GeoNames postal data and belong to the city shown.

Postcode pattern
#####-####
Postcode areas
1
  1. 100 Oak Drstreet and number
  2. Dallas, WI 54733city · region code · postcode
  3. UNITED STATESCOUNTRY
A fixed sample for this page. Generate above for new ones.

How to generate random addresses

  1. Choose a country, then a state or region, or search for a city.

  2. Set how many addresses you need (1–100) and generate.

  3. Copy one field, one address or the whole batch, or download it as JSON or CSV.

Where the places come from

Cities, regions and postcodes come from GeoNames under a CC BY 4.0 licence. Streets and house numbers are built from common local street names, so a match with a real address is a coincidence.

Useful for forms and software tests

Test checkout and shipping forms, postcode validation, address layouts in other languages, database seeds and demos. Store postcodes as text: many start with zero or contain letters.

Questions about random addresses

How do you write an address in Dallas?

Line by line: street and number / city, region code postcode / COUNTRY. For example: 100 Oak Dr, Dallas, WI 54733, UNITED STATES.

What is the ZIP code format in Dallas?

United States uses the ZIP code pattern #####-####, where # is a digit and @ is a letter.

Which ZIP code areas does Dallas have?

Dallas has 1 ZIP code areas in our data, for example 54733.

Are these real addresses?

The city, region and postcode are real and appear together in postal data. The street and house number are invented, so the full address is test data and is not checked for delivery.

Can I generate many addresses at once?

Yes, up to 100 per batch. Copy them all or download JSON or CSV. Places can repeat when a city has few postcodes, but every address in a batch is different.

Can I link to a batch or use it in a script?

Every country, region and city has its own page. Add ?count=25 to the page address to set the batch size, or add &format=json to get JSON.

All countries

247 countries and territories, 493,219 cities and towns, 1,632,591 postcode areas.

Europe 53

Asia 51

North America 41

South America 14

Africa 58

Oceania 27

Antarctica 3