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.
| Industry Type | Count |
|---|---|
| Total of all sectors | 16 |
| Finance and Insurance | 2 |
| Accommodation and Food Services | 2 |
| Information | 2 |
| Other Services (except Public Administration) | 2 |
| Retail Trade | 1 |
| Construction | 1 |
| Administrative and Support and Waste Management and Remediation Services | 1 |
| Manufacturing | 1 |
| Health Care and Social Assistance | 1 |
| Professional, Scientific, and Technical Services | 1 |
| Wholesale Trade | 1 |
| Educational Services | 1 |
| Zip Code | City | County | Distance |
|---|---|---|---|
| 08089 | Waterford Works | Camden | 4.96 ml |
| 08346 | Newtonville | Atlantic | 6.68 ml |
| 08091 | West Berlin | Camden | 7.02 ml |
| 08004 | Atco | Camden | 7.22 ml |
| 08009 | Berlin | Camden | 7.93 ml |
| 08081 | Sicklerville | Camden | 8.33 ml |
| 08326 | Landisville | Atlantic | 9.01 ml |
| 08310 | Buena | Atlantic | 9.16 ml |
| 08341 | Minotola | Atlantic | 9.32 ml |
| 08217 | Elwood | Atlantic | 9.63 ml |