Comparing zip codes typically involves analyzing various factors such as location, demographics, average income, real estate values, population density, and amenities within the areas they represent. For example, urban zip codes may have higher population densities and diverse amenities compared to rural zip codes, which may feature lower populations and more open space. Additionally, zip codes can reflect socioeconomic trends, with some areas experiencing growth while others may be declining. Specific comparisons can be made using tools like demographic studies, real estate databases, and community profiles.
The table shows the top 5 positions of zip code 18960 on our zip code ranking charts. For example, a rank of 10 means that a zip code ranks #10 on the list of the top zip codes in America for a particular value. The lists were created for all zip codes in America with the population of 1000 residents or higher.
Rank | Report | Value |
---|---|---|
#2,922 | Top Zip Codes With The Highest Median Apartment Rent | $1,160 |
#3,860 | Top Zip Codes With The Highest Median Home Value | 276400 |
#5,282 | Top Zip Codes With The Highest Income Per Capita | $30,577.00 |
#5,368 | Top Zip Codes With The Highest Percentage Of English Language Spoken | 92% |
#5,488 | Top Zip Codes With The Highest Percentage Of People Who Drive To Work | 95.14% |
Industry Type | Count |
---|---|
Total of all sectors | 289 |
Health Care and Social Assistance | 71 |
Construction | 52 |
Other Services (except Public Administration) | 29 |
Manufacturing | 25 |
Professional, Scientific, and Technical Services | 21 |
Administrative and Support and Waste Management and Remediation Services | 19 |
Retail Trade | 18 |
Accommodation and Food Services | 17 |
Wholesale Trade | 14 |
Finance and Insurance | 9 |
Transportation and Warehousing | 5 |
Educational Services | 3 |
Arts, Entertainment, and Recreation | 2 |
Information | 2 |
Agriculture, Forestry, Fishing and Hunting | 1 |
Mining, Quarrying, and Oil and Gas Extraction | 1 |
Zip Code | City | County | Distance |
---|---|---|---|
18962 | Silverdale | Bucks | 2.78 ml |
18969 | Telford | Montgomery | 4.06 ml |
18927 | Hilltown | Bucks | 4.14 ml |
18944 | Perkasie | Bucks | 4.86 ml |
18964 | Souderton | Montgomery | 5.1 ml |
18932 | Line Lexington | Bucks | 5.34 ml |
19440 | Hatfield | Montgomery | 5.8 ml |
18917 | Dublin | Bucks | 6 ml |
18915 | Colmar | Montgomery | 6.82 ml |
19438 | Harleysville | Montgomery | 7.18 ml |