30019 — Dacula, GA
Real Estate Market Targeting Score
ZIP 30019 is a strongly owner-occupied area (84% owner occupancy) with a median household income of $117K and a median home value of $441K — earning a high Real Estate targeting score of 96/100. The high single-family detached share (95%) is a strong demand driver.
Census Demographics — ZIP 30019
| Demographic Signal | Value |
|---|---|
| City | Dacula |
| State | GA |
| Total Population | 51,162 |
| Total Households | 15,617 |
| Median Household Income | $117K |
| Owner-Occupied Households | 13,101 |
| Owner Occupancy Rate | 84% |
| Median Home Value | $441K |
| Single-Family Detached Share | 95% |
| Median Resident Age | 38 years |
| Median Year Built(ACS B25035) | 2002 |
| Built Before 1980(older stock) | 12% |
| Built 1980–1999 | 70% |
| Built 2000 or Later(newer stock) | 18% |
| Source: 2024 ACS 5-Year | |
Comparable ZIPs in Atlanta
Frequently Asked Questions
Why does ZIP 30019 score 96/100 for Real Estate?▾
The score of 96/100 is driven by: +8 owner-occupied 84% (x0.8); +6 15,617 households; +8 median income $117K (x1.2). Each signal is weighted for the Real Estate 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 30019 to my Real Estate service area?▾
Sign up for AreaOps, create a brand for your Real Estate operation, then use the Quick Add or targeting workbench to include ZIP 30019. 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 Real Estate businesses in Atlanta
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.