Best for affordability: Loma Linda, California
Loma Linda, California looks like the easiest place here to live with less financial drag. It comes out ahead on rent burden and rent.
What Stands Out
Deterministic summaries based on the data in view.
Loma Linda, California looks like the easiest place here to live with less financial drag. It comes out ahead on rent burden and rent.
Loma Linda, California is the sharpest split in this comparison: strong on safety, weaker on sunshine.
Honolulu, Hawaii needs a closer look before you get too attached, especially on rent burden.
| City | ||
|---|---|---|
| Route | ||
| General Info | ||
| Population | 24,883 | 343 |
| Elevation | 1,165 ft(355 m) | 16 ft(5 m) |
| Housing & Wealth | ||
| Median Home | $626,093 | $748,245 |
| Median Rent | $2,382 | $2,501 |
| Median Income | $70,685 | $19,524 |
| Rent Burden | 40% | 154% |
| Climate & Risks | ||
| Sunny Days | 344 days/yr | 356 days/yr |
| Avg. High | 79°F | 81°F |
| Comfort Score | 81/100Great | 85/100Excellent |
| Temp Swing | 34°F | 8°F |
| Annual Rainfall | 18"(46 cm) | 18"(46 cm) |
| Annual Snowfall | 1"(3 cm) | 0"(0 cm) |
| Air Quality | AQI 70 (Avg)163 days > 100 | AQI 36 (Avg)0 days > 100 |
| Infrastructure & Lifestyle | ||
| Walk Score | 59 | 75 |
| Transit Score | 39 | 79 |
| Safety Score | 73 / 100 | 53 / 100 |
| School Rating | 4/10 | N/A |
| Flood Risk (FEMA) | N/A | minimalMinimal Risk |
| Fire Risk (FEMA) | N/A | minimalMinimal |
| Internet Access | Fiber: 52%Cable: 98% | Fiber: 80%Cable: 95% |
| Demographics | ||
| Median Age | 37.8 years | 68.3 years |
| College Educated | 49% | 35% |
| Remote Workers | 11% | 7% |
| Nature Access | ||
| Local Nature & Reserves | Finding... | Finding... |
| Explore Your Move | ||
Next StepsResources to help you plan your relocation or scouting trip. | Featured Local PartnerAD Partner spot availableFor organizations that can help someone land in Loma Linda | Featured Local PartnerAD Partner spot availableFor organizations that can help someone land in Honolulu |
Essays and data-led lenses on climate, cost, geography, and the shape of daily life.
Collections group cities around a decision lens, not just a category.
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