98136 — Seattle, WA
Pest Control Market Targeting Score
ZIP 98136 has moderate owner occupancy (64%) with a median household income of $149K and a median home value of $925K — earning a high Pest Control targeting score of 87/100. The high single-family detached share (65%) is a strong demand driver.
Census Demographics — ZIP 98136
| Demographic Signal | Value |
|---|---|
| City | Seattle |
| State | WA |
| Total Population | 17,252 |
| Total Households | 7,921 |
| Median Household Income | $149K |
| Owner-Occupied Households | 5,072 |
| Owner Occupancy Rate | 64% |
| Median Home Value | $925K |
| Single-Family Detached Share | 65% |
| Median Resident Age | 41 years |
| Median Year Built(ACS B25035) | 1957 |
| Built Before 1980(older stock) | 76% |
| Built 1980–1999 | 14% |
| Built 2000 or Later(newer stock) | 10% |
| Source: 2024 ACS 5-Year | |
Comparable ZIPs in Seattle
Frequently Asked Questions
Why does ZIP 98136 score 87/100 for Pest Control?▾
The score of 87/100 is driven by: +10 owner-occupied 64% (x1.2); +6 7,921 households; +6 median income $149K. Each signal is weighted for the Pest Control 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 98136 to my Pest Control service area?▾
Sign up for AreaOps, create a brand for your Pest Control operation, then use the Quick Add or targeting workbench to include ZIP 98136. 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 Pest Control 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.