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 29827 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 |
|---|---|---|
| #218 | Top Zip Codes With The Highest Percentage Of Poor Households | 58.54% |
| #420 | Top Zip Codes With The Highest Percentage Of Males | 58.73% |
| #534 | Top Zip Codes With The Highest Percentage Of Poor Families Having 50 Or More Families | 51.95% |
| #776 | Top Zip Codes With The Lowest Number Of Families-to-population Percentage | 18.35% |
| #1,175 | Top Zip Codes With The Highest Married-to-other Couples Ratio | 1:0.87 |
| Industry Type | Count |
|---|---|
| Total of all sectors | 48 |
| Retail Trade | 13 |
| Other Services (except Public Administration) | 5 |
| Agriculture, Forestry, Fishing and Hunting | 4 |
| Health Care and Social Assistance | 4 |
| Construction | 4 |
| Information | 3 |
| Professional, Scientific, and Technical Services | 3 |
| Wholesale Trade | 3 |
| Finance and Insurance | 3 |
| Manufacturing | 2 |
| Transportation and Warehousing | 1 |
| Administrative and Support and Waste Management and Remediation Services | 1 |
| Accommodation and Food Services | 1 |
| Management of Companies and Enterprises | 1 |
| Zip Code | City | County | Distance |
|---|---|---|---|
| 29810 | Allendale | Allendale | 3.03 ml |
| 29846 | Sycamore | Allendale | 4.61 ml |
| 29911 | Brunson | Hampton | 5.66 ml |
| 29836 | Martin | Allendale | 5.74 ml |
| 29924 | Hampton | Hampton | 8.58 ml |
| 29849 | Ulmer | Allendale | 9.85 ml |
| 29918 | Estill | Hampton | 11.19 ml |
| 29923 | Gifford | Hampton | 13.7 ml |
| 29932 | Luray | Hampton | 13.7 ml |
| 29944 | Varnville | Hampton | 14.84 ml |