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 29101 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 |
|---|---|---|
| #1,158 | Top Zip Codes With The Highest Percentage Of English Language Spoken | 95% |
| #1,719 | Top Zip Codes With The Highest Percentage Of People Who Drive To Work | 97.34% |
| #3,586 | Top Zip Codes With The Highest Percentage Of Females | 52.93% |
| #4,422 | Top Zip Codes With The Lowest Number Of Families-to-population Percentage | 23.60% |
| #4,441 | Top Zip Codes With The Highest Percentage Of Poor Families Having 50 Or More Families | 31.17% |
| Industry Type | Count |
|---|---|
| Total of all sectors | 36 |
| Manufacturing | 8 |
| Accommodation and Food Services | 6 |
| Transportation and Warehousing | 5 |
| Construction | 3 |
| Health Care and Social Assistance | 2 |
| Finance and Insurance | 2 |
| Retail Trade | 2 |
| Wholesale Trade | 1 |
| Agriculture, Forestry, Fishing and Hunting | 1 |
| Other Services (except Public Administration) | 1 |
| Administrative and Support and Waste Management and Remediation Services | 1 |
| Industries not classified | 1 |
| Information | 1 |
| Utilities | 1 |
| Professional, Scientific, and Technical Services | 1 |
| Zip Code | City | County | Distance |
|---|---|---|---|
| 29584 | Patrick | Chesterfield | 9.67 ml |
| 29727 | Mount Croghan | Chesterfield | 9.67 ml |
| 29550 | Hartsville | Darlington | 13.46 ml |
| 29009 | Bethune | Kershaw | 15.76 ml |
| 29079 | Lydia | Darlington | 15.87 ml |
| 29741 | Ruby | Chesterfield | 17.65 ml |
| 29032 | Cassatt | Kershaw | 17.9 ml |
| 29718 | Jefferson | Chesterfield | 18.26 ml |
| 29010 | Bishopville | Lee | 18.27 ml |
| 29067 | Kershaw | Lancaster | 18.44 ml |