28102 — Mc Farlan, NC
Moving & Relocation Market Targeting Score
ZIP 28102 is predominantly rental (27% owner occupancy) and a median home value of $115K — earning a lower Moving & Relocation targeting score of 36/100 due to demographics less aligned with Moving & Relocation demand patterns.
Census Demographics — ZIP 28102
| Demographic Signal | Value |
|---|---|
| City | Mc Farlan |
| State | NC |
| Total Population | 164 |
| Total Households | 45 |
| Owner-Occupied Households | 12 |
| Owner Occupancy Rate | 27% |
| Median Home Value | $115K |
| Single-Family Detached Share | 55% |
| Median Resident Age | 44 years |
| Median Year Built(ACS B25035) | 1949 |
| Built Before 1980(older stock) | 90% |
| Built 1980–1999 | 10% |
| Built 2000 or Later(newer stock) | 0% |
| Source: 2024 ACS 5-Year | |
Comparable ZIPs in Charlotte
Frequently Asked Questions
Why does ZIP 28102 score 36/100 for Moving & Relocation?▾
The score of 36/100 is driven by: -7 owner-occupied 27% (x0.9); -4 45 households (x1.3); -2 median home value $115K (x0.7). Each signal is weighted for the Moving & Relocation vertical using AreaOps's per-vertical preset.
What does the targeting score mean for my business?▾
A score of 75–100 indicates strong demographic alignment with typical demand patterns for this vertical. 50–74 is moderate, and below 50 indicates the area demographics are less favorable. Use it as a starting signal — not the sole qualifier.
How do I add ZIP 28102 to my Moving & Relocation service area?▾
Sign up for AreaOps, create a brand for your Moving & Relocation operation, then use the Quick Add or targeting workbench to include ZIP 28102. You can also import a bulk list of high-scoring ZIPs as a CSV or XLSX file.
How often is the data updated?▾
Scores are refreshed monthly from 2024 ACS 5-Year data. The vintage note on this page shows which release powers the current score.
Manage Your Service Areas — for Moving & Relocation businesses in Charlotte
AreaOps gives your ops team a visual territory map, bulk ZIP import, and the full scoring model — all filterable by the demographics that drive demand for your specific vertical.