98106 — Seattle, WA
Professional Services Market Targeting Score
ZIP 98106 has moderate owner occupancy (59%) with a median household income of $124K and a median home value of $707K — earning a high Professional Services targeting score of 94/100.
Census Demographics — ZIP 98106
| Demographic Signal | Value |
|---|---|
| City | Seattle |
| State | WA |
| Total Population | 28,690 |
| Total Households | 11,791 |
| Median Household Income | $124K |
| Owner-Occupied Households | 6,926 |
| Owner Occupancy Rate | 59% |
| Median Home Value | $707K |
| Single-Family Detached Share | 53% |
| Median Resident Age | 36 years |
| Median Year Built(ACS B25035) | 1982 |
| Built Before 1980(older stock) | 59% |
| Built 1980–1999 | 30% |
| Built 2000 or Later(newer stock) | 12% |
| Source: 2024 ACS 5-Year | |
Comparable ZIPs in Seattle
Frequently Asked Questions
Why does ZIP 98106 score 94/100 for Professional Services?▾
The score of 94/100 is driven by: +3 owner-occupied 59% (x0.3); +5 11,791 households (x0.5); +11 median income $124K (x1.2). Each signal is weighted for the Professional Services 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 98106 to my Professional Services service area?▾
Sign up for AreaOps, create a brand for your Professional Services operation, then use the Quick Add or targeting workbench to include ZIP 98106. 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 Professional Services businesses in Seattle
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.