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 19454 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 |
|---|---|---|
| #1,773 | Top Zip Codes With The Highest Percentage Of Wealthy Families | 14.35% |
| #1,897 | Top Zip Codes With The Highest Percentage Of Rich Households | 10.30% |
| #1,931 | Top Zip Codes With The Highest Income Per Capita | $41,069.00 |
| #1,945 | Top Zip Codes With The Highest Number Of Owner-occupied Housing Units | 8673 |
| #2,101 | Top Zip Codes With The Highest Percentage Of College Graduates | 2.17% |
| Industry Type | Count |
|---|---|
| Total of all sectors | 811 |
| Retail Trade | 185 |
| Professional, Scientific, and Technical Services | 110 |
| Accommodation and Food Services | 92 |
| Other Services (except Public Administration) | 64 |
| Health Care and Social Assistance | 59 |
| Construction | 57 |
| Wholesale Trade | 49 |
| Administrative and Support and Waste Management and Remediation Services | 47 |
| Finance and Insurance | 45 |
| Manufacturing | 32 |
| Real Estate and Rental and Leasing | 22 |
| Information | 15 |
| Educational Services | 14 |
| Management of Companies and Enterprises | 11 |
| Arts, Entertainment, and Recreation | 4 |
| Transportation and Warehousing | 4 |
| Utilities | 1 |
| Zip Code | City | County | Distance |
|---|---|---|---|
| 18936 | Montgomeryville | Montgomery | 1.2 ml |
| 19436 | Gwynedd | Montgomery | 1.49 ml |
| 19446 | Lansdale | Montgomery | 2.83 ml |
| 19437 | Gwynedd Valley | Montgomery | 2.88 ml |
| 19002 | Ambler | Montgomery | 2.93 ml |
| 18915 | Colmar | Montgomery | 3.74 ml |
| 19422 | Blue Bell | Montgomery | 4.83 ml |
| 19044 | Horsham | Montgomery | 4.97 ml |
| 18914 | Chalfont | Bucks | 5.05 ml |
| 18976 | Warrington | Bucks | 5.28 ml |