About

Testing software, populating databases, or filling out forms during development often requires realistic U.S. mailing addresses. Using obviously fake data like "123 Main St" triggers validation failures and masks bugs in parsing logic. This generator composes addresses from pools of over 200 real Texas street names, 100+ verified city - ZIP - county tuples, and proper USPS formatting rules. Every generated address follows the structure number directional street suffix, unit, city, TX ZIP. Addresses are algorithmically assembled to appear plausible but are not guaranteed to correspond to real occupied properties.

ZIP codes fall within the valid Texas allocation range of 73301 - 79999 and 88510 - 88589, each paired with a geographically correct city and county. The tool does not query external APIs, so it works offline and produces results instantly. Limitation: apartment and suite numbers are randomized and do not reflect actual building layouts. Do not use generated addresses for fraudulent purposes.

Formulas

Each address is composed by sampling independently from categorized pools. The full address string follows USPS Publication 28 formatting:

Address = N Dir Street Sfx Unit, City, TX ZIP

Where N = street number drawn uniformly from [100, 29999], Dir = optional directional prefix (N, S, E, W) with probability 0.3, Street = name sampled from a pool of 200+ entries, Sfx = suffix (St, Ave, Blvd, Dr, etc.), and Unit = optional apartment or suite designation with probability 0.15.

The city - ZIP binding uses a lookup table T where each entry is a tuple:

T_i = (City, County, ZIP_min, ZIP_max)

A random tuple is selected, then ZIP is drawn uniformly from [ZIP_min, ZIP_max]. This ensures geographic coherence. The unit number U follows:

{

Apt U where U ∈ [1, 999] with prob 0.6Ste U where U ∈ [100, 999] with prob 0.25Unit U where U ∈ [1, 50] with prob 0.15

All randomness uses Math.random() which provides a uniform distribution on [0, 1). For batch generation of n addresses, uniqueness is enforced via a Set data structure with O(n) average lookup, re-sampling on collision.

Reference Data

City	County	ZIP Code(s)	Population Est.	Region
Houston	Harris	77001 - 77299	2,300,000	Gulf Coast
San Antonio	Bexar	78201 - 78299	1,500,000	South Texas
Dallas	Dallas	75201 - 75398	1,300,000	North Texas
Austin	Travis	73301 - 78799	1,000,000	Central Texas
Fort Worth	Tarrant	76101 - 76199	950,000	North Texas
El Paso	El Paso	79901 - 79999	680,000	West Texas
Arlington	Tarrant	76001 - 76099	400,000	North Texas
Corpus Christi	Nueces	78401 - 78480	320,000	Gulf Coast
Plano	Collin	75023 - 75093	290,000	North Texas
Lubbock	Lubbock	79401 - 79499	260,000	West Texas
Laredo	Webb	78040 - 78049	260,000	South Texas
Irving	Dallas	75014 - 75063	250,000	North Texas
Amarillo	Potter	79101 - 79189	200,000	Panhandle
Brownsville	Cameron	78520 - 78526	190,000	Rio Grande Valley
McKinney	Collin	75069 - 75071	200,000	North Texas
Frisco	Collin	75033 - 75035	210,000	North Texas
Midland	Midland	79701 - 79710	150,000	Permian Basin
Odessa	Ector	79760 - 79769	125,000	Permian Basin
Waco	McLennan	76701 - 76799	140,000	Central Texas
Round Rock	Williamson	78664 - 78681	130,000	Central Texas
Tyler	Smith	75701 - 75799	105,000	East Texas
College Station	Brazos	77840 - 77845	120,000	Brazos Valley
Beaumont	Jefferson	77701 - 77726	115,000	Southeast Texas
Abilene	Taylor	79601 - 79699	125,000	West Central Texas
San Marcos	Hays	78666 - 78667	67,000	Central Texas

Frequently Asked Questions

No. The addresses are composed from real Texas city names, valid ZIP code ranges, and plausible street names, but the specific street-number-plus-street-name combinations are randomly assembled. They are not verified against USPS delivery point databases. Some may coincidentally match real addresses, but most will not.

Yes, that is the primary use case. The addresses follow standard USPS formatting (Publication 28), use valid 5-digit Texas ZIP codes in the 73301-79999 and 88510-88589 ranges, and include proper state abbreviation (TX). They will pass most regex-based address validators. They will not pass USPS CASS certification or real delivery-point validation.

Approximately 15% of generated addresses include a secondary designator (Apt, Ste, or Unit) to simulate multi-unit properties. This is controlled by a probability parameter. In real Texas housing data, roughly 30-35% of occupied units are in multi-unit structures, but the generator uses a lower rate to keep the output mix varied for testing scenarios.

Each city in the internal dataset is paired with a real ZIP code range sourced from USPS allocation tables. When a city is selected, the ZIP code is drawn uniformly from within that city's valid range. This prevents mismatches like a Dallas street address with an El Paso ZIP code. County names are also pre-mapped to each city.

The tool supports generating up to 500 addresses per batch. The combinatorial space exceeds 10 billion unique addresses (29,900 street numbers × 200+ street names × 20 suffixes × 100+ city-ZIP pairs), so collisions are extremely rare even at maximum batch size. Generation completes in under 50 milliseconds for 500 addresses.

Yes. All data pools (street names, cities, ZIP codes, counties) are embedded directly in the JavaScript source. No external API calls are made. The tool functions identically without an internet connection. Your preferences (address count, format, unit inclusion) are saved to localStorage and restored on reload.