77084 — Houston, TX
Landscaping Market Targeting Score
ZIP 77084 has moderate owner occupancy (60%) with a median household income of $81K and a median home value of $248K — earning a high Landscaping targeting score of 82/100. The high single-family detached share (64%) is a strong demand driver.
Census Demographics — ZIP 77084
| Demographic Signal | Value |
|---|---|
| City | Houston |
| State | TX |
| Total Population | 110,217 |
| Total Households | 36,886 |
| Median Household Income | $81K |
| Owner-Occupied Households | 22,137 |
| Owner Occupancy Rate | 60% |
| Median Home Value | $248K |
| Single-Family Detached Share | 64% |
| Median Resident Age | 34 years |
| Median Year Built(ACS B25035) | 1994 |
| Built Before 1980(older stock) | 43% |
| Built 1980–1999 | 42% |
| Built 2000 or Later(newer stock) | 15% |
| Source: 2024 ACS 5-Year | |
Comparable ZIPs in Houston
Frequently Asked Questions
Why does ZIP 77084 score 82/100 for Landscaping?▾
The score of 82/100 is driven by: +7 owner-occupied 60% (x1.2); +5 36,886 households; +6 median income $81K (x1.1). Each signal is weighted for the Landscaping 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 77084 to my Landscaping service area?▾
Sign up for AreaOps, create a brand for your Landscaping operation, then use the Quick Add or targeting workbench to include ZIP 77084. 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 Landscaping businesses in Houston
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.