Fetching Zipcodes of Locations in Python using Uszipcode Module

The Python Uszipcode module is a powerful tool for working with United States zip codes in Python. This module provides a comprehensive set of functions and classes for working with zip codes, including searching for zip codes, identifying the location associated with a zip code, and calculating the distance between two zip codes.

In this article, we will provide a detailed overview of the Python Uszipcode module and how it can be used to solve a variety of problems.

What is the Python Uszipcode Module?

The Python Uszipcode module is a Python library for working with United States zip codes. It is designed to make it easy to work with zip codes in Python, and it provides a range of functions and classes for searching for zip codes, identifying the location associated with a zip code, and calculating the distance between two zip codes.

The module is built on top of a large database of United States zip code information, which is included in the module and is used to provide accurate and up-to-date information about zip codes. The database includes information about the location of each zip code, including the city, state, and latitude and longitude coordinates.

How to Install the Python Uszipcode Module

To use the Python Uszipcode module, you will first need to install it. The module is available on PyPI (the Python Package Index), so you can use pip to install it. To do this, open a terminal or command prompt and enter the following command −

pip install uszipcode

This will install the Python Uszipcode module and all of its dependencies. Once the installation is complete, you will be able to import the module into your Python code and start using it.

Importing and Using Uszipcode Module

To use Uszipcode python module to search zip codes using different conditions, it provides SearchEngine which is one of its main classes. You can use below code snippet to import SearchEngine class. It also gives a simple example to use zipcode for searching −

Example

from uszipcode import SearchEngine
engine = SearchEngine()
zipcode = engine.by_zipcode(43215)
print(zipcode.zipcode, zipcode.major_city)

Output

It will produce the following output −

43215 Columbus

Various Search Methods in Uszipcode Module

Depending on your use cases, you can use Uszipcode module to search for US Zip codes. The Uszipcode python module provides following methods which you can use to search −

by_zipcode()

Suppose you already have the zip code of the place but need to know some other information like name of the city, population etc. you can use by_zipcode() method. Below example will demonstrate it −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcode = eng.by_zipcode(85083)
print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will give the below output −

85083 Phoenix 18104

by_city_and_state()

As name implies, this method accepts city name and state name as parameter to give you the search result. Let’s see an example to demonstrate it −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_city_and_state(city="Phoenix", state="arizona")
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

85003 Phoenix 9369
85004 Phoenix 4965
85006 Phoenix 25742
85007 Phoenix 14040
85008 Phoenix 56145

by_coordinates()

This method gives all the zip codes that falls within the radius. It accepts latitude and longitude and radius as parameter. Below is an example for the same −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_coordinates(33.4484, -80.6589, radius=60)
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

29047 Elloree 3683
29018 Bowman 3749
29030 Cameron 1967
29142 Santee 4890
29133 Rowesville 1044

by_city()

As the name implies, this method uses city name as parameter to give you the details about that city. Let’s check out the example below −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_city(city="New York")
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

10001 New York 21102
10002 New York 81410
10003 New York 56024
10004 New York 3089
10005 New York 7135

by_state()

This method uses state name as parameter to give you the details about that state. Let’s check out the example below −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_state(state="Ohio")
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

43001 Alexandria 2400
43003 Ashley 2917
43004 Blacklick 22727
43006 Brinkhaven 822
43009 Cable 2135

by_prefix()

We can find all the zip codes that starts with the given prefix. Let’s check out the example below −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_prefix("35")
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

35004 Moody 10427
35005 Adamsville 7942
35006 Adger 3121
35007 Alabaster 26225
35010 Alexander City 20816

by_population()

We can find all the zip codes that range within lower limit and upper limit of the population. The limit is set between -1 and 2147483648. Let’s check out the example below −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_population(lower=500, upper=20000)
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

24151 Rocky Mount 20000
19061 Marcus Hook 19997
83835 Hayden 19990
92377 Rialto 19989
29170 West Columbia 19988

by_population_density()

We can also find the zip codes using population density i.e., the population per square mile. It also takes lower limit and upper limit as parameter. Below is an example to demonstrate it −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_population_density(lower=50, upper=800)
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

70807 Baton Rouge 20377
15317 Canonsburg 36535
08050 Manahawkin 24285
76135 Fort Worth 20684
25139 Mount Carbon 440

by_land_area_in_sqmi()

This method finds the zip codes using lower and upper bounds of square mile area as follows −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_land_area_in_sqmi(lower=50, upper=8000)
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

99743 Healy 1069
97910 Jordan Valley 641
99901 Ketchikan 13508
99737 Delta Junction 5011
99701 Fairbanks 19019

by_water_area_in_sqmi()

This method finds the zip codes using lower and upper bounds of square mile water area as follows −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_water_area_in_sqmi(lower=50, upper=8000)
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

99615 Kodiak 12899
99901 Ketchikan 13508
99664 Seward 4932
99686 Valdez 4005
70091 Venice 278

by_housing_units()

This method finds the zip codes using lower and upper bounds of housing units in a specific area as follows −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_housing_units(lower=50, upper=500)
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

26208 Camden On Gauley 973
26273 Huttonsville 2041
34739 Kenansville 793
45889 Van Buren 1351
47529 Elnora 1042

by_occupied_housing_units()

This method finds the zip codes using lower and upper bounds of housing units occupied in a specific area as follows −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_occupied_housing_units(lower=50, upper=500)
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

46730 Corunna 1381
52144 Fort Atkinson 1261
61465 New Windsor 1213
65771 Walnut Shade 1398
70645 Hackberry 1262

by_median_home_value()

This method finds the zip codes using lower and upper bounds of median value of the houses in a specific area as follows −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_median_home_value(lower=500000, upper=2000000)
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

24011 Roanoke 219
29482 Sullivans Island 1791
29941 Sheldon 497
33109 Miami Beach 594
59055 Melville 59

by_median_household_income()

This method finds the zip codes using lower and upper bounds of median household income in a specific area as follows −

Example

from uszipcode import SearchEngine
eng = SearchEngine()
zipcodes = eng.by_median_household_income(lower=5000, upper=2000000)
for zipcode in zipcodes:
   print(zipcode.zipcode, zipcode.major_city, zipcode.population)

Output

It will produce the following output −

81335 Yellow Jacket 131
82063 Jelm 100
97028 Government Camp 217
21405 Annapolis 544
10282 New York 4783

Conclusion

In conclusion, the USZIPCODE Python module is a useful tool for working with U.S. ZIP codes in Python. It allows you to search for ZIP codes within a given radius of a particular location, retrieve detailed information about a particular ZIP code, and perform a variety of other tasks related to ZIP codes.

The module is built on top of the USPS ZIP Code API, which provides access to up-to-date information about U.S. ZIP codes and their associated location data.

With its wide range of features and its easy-to-use interface, the USZIPCODE module can be a valuable addition to any Python project that involves working with ZIP codes. Whether you need to search for ZIP codes, retrieve information about them, or perform any other task related to ZIP codes, the USZIPCODE module has you covered.