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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.