San Luis Obispo composite
39.2 /100
Grade D · weighted across 7 dims
Metro comparison
San Luis Obispo-Paso Robles, CA and Wildwood-The Villages, FL side by side, cost of living, rent, wages, crime, schools, childcare and environment, all from the same federal datasets so every number is directly comparable.
Head-to-head verdict
Across the seven dimensions, San Luis Obispo scores higher on 3 (wages, schools, environment) and Wildwood on 4 (cost of living, rent, safety, childcare). The radar shows the full shape; the tables below break out every figure.
Every dimension is a national percentile (0–100). Each bar leans toward the stronger metro, a long lean is a decisive edge, a near-even split is a toss-up. The radar shows the overall shape; this shows the per-dimension margins.
San Luis Obispo and Wildwood differ across eleven dimensions of livability. San Luis Obispo has a cost-of-living index of 108.6 vs Wildwood's 85.4 (national average = 100). Median salaries are $77,257 in San Luis Obispo and $63,776 in Wildwood. A 2-bedroom averages $2,512/mo vs $1,328/mo.
Beyond the headline numbers
The cost gap above compounds fastest through housing: the difference in HUD's 2-bedroom Fair Market Rent between San Luis Obispo and Wildwood works out to $14,208 over a year, the largest single line item behind the headline spread.
Adjusted for cost of living rather than compared as nominal dollars, $100,000 earned in San Luis Obispo carries the same local purchasing power as $78,662 in Wildwood - the more honest read than the salary headline above, because nominal wages and rents move together in tight metros. State-level violent crime, the most reliable geographic tier FBI UCR publishes, is 476.8 per 100,000 residents in CA vs 210.3 in FL, with property-crime rates of 1985.9 and 1030.0 respectively.
Schools are reported at the state tier by NCES: CA lists 10,006 public schools at a 20.8:1 student-teacher ratio, while FL lists 4,029 schools at 17.8:1, a signal of class-size staffing, though individual district and school-level variation within each state is substantial. Department of Labor center-based infant care runs $17,920/yr in the San Luis Obispo area versus $10,505/yr in Wildwood - a line item that shifts the real cost-of-living picture for households with children under five far more than headline RPP does. When these pieces are read together rather than in isolation, San Luis Obispo and Wildwood are not simply "cheaper" or "more expensive" - they trade across dimensions, and which metro wins depends on whether your household optimizes for rent, wages, schools, childcare, safety, or environment. Treat the tables below as inputs to that trade-off, not as a single ranking.
San Luis Obispo composite
39.2 /100
Grade D · weighted across 7 dims
Wildwood composite
67.0 /100
Grade A+ · weighted across 7 dims
Environment score gap
39 pts
San Luis Obispo cleaner, national percentile
Safety score gap
81 pts
Wildwood safer, national percentile
San Luis Obispo composite (Grade D)
Wildwood composite (Grade A+)
Composite is a weighted roll-up of seven dimensions: cost (20%), wages (20%), rent (15%), safety (15%), schools (10%), childcare (10%), environment (10%). Each input normalized to a 0–100 percentile across all metros.
| Category | San Luis Obispo | Wildwood |
|---|---|---|
| Overall RPP | 108.6 | 85.4 |
| Goods | 105.2 | 96.2 |
| Services | 147.8 | 89.0 |
| Rents | 144.4 | 51.7 |
What salary in Wildwood gives the same purchasing power as your salary in San Luis Obispo?
Based on BEA Regional Price Parities (San Luis Obispo: 108.6, Wildwood: 85.4, national avg = 100).
| Bedrooms | San Luis Obispo | Wildwood |
|---|---|---|
| Studio | $1,732/mo | $1,076/mo |
| 1 Bedroom | $1,914/mo | $1,139/mo |
| 2 Bedroom | $2,512/mo | $1,328/mo |
| 3 Bedroom | $3,370/mo | $1,655/mo |
| 4 Bedroom | $3,861/mo | $1,937/mo |
| Metric | San Luis Obispo | Wildwood |
|---|---|---|
| Avg Median Salary | $77,257 | $63,776 |
| Total Employment | 112,830 | 34,870 |
| Crime Type (per 100K) | San Luis Obispo (CA) | Wildwood (FL) |
|---|---|---|
| Violent Crime | 476.8 | 210.3 |
| Property Crime | 1985.9 | 1030.0 |
| Metric | CA | FL |
|---|---|---|
| Total Schools | 10,006 | 4,029 |
| Student-Teacher Ratio | 20.8:1 | 17.8:1 |
| Charter Schools | 12.8% | 18.0% |
| Age Group | CA | FL |
|---|---|---|
| Infant (Center) | $17,920/yr | $10,505/yr |
| Toddler (Center) | $12,300/yr | $8,611/yr |
| Preschool (Center) | $11,385/yr | $7,983/yr |
| Metric | CA | FL |
|---|---|---|
| EPA Facilities | 1,426 | 864 |
| Water Systems | 3,068 | 1,513 |
| Superfund Sites | 116 | 81 |
| Water Violations | 17,705 | 2,736 |
| Metric | San Luis Obispo | Wildwood |
|---|---|---|
| Median AQI | 50.0 | 40.7 |
| Good Air Days | 52.3% | 77.5% |
| Unhealthy Air Days | 7 days | N/A |
Wildwood air quality shown at state level. San Luis Obispo has metro-level data.
| Metric | CA | FL |
|---|---|---|
| Water Safety Score | 14/100 | 9/100 |
| Total Violations | 153,308 | 184,355 |
| Health-Based Violations | 63,983 | 24,266 |
| Systems with Violations | 89.2% | 93.2% |
| Metric | CA | FL |
|---|---|---|
| Healthcare Access Score | 41/100 | 92/100 |
| Population in Shortage Area | 58.6% | 8.2% |
| HPSA Designations | 1,623 | 637 |
HPSA = Health Professional Shortage Area, designated by HRSA. Higher access score = better healthcare availability.
| Metric | CA | FL |
|---|---|---|
| Disaster Safety Score | 12/100 | 29/100 |
| NRI Risk Score (avg county) | 88.7 | 75.7 |
| Expected Annual Loss Score | 87.9 | 72.9 |
FEMA National Risk Index (NRI) scores are county-level percentiles (0–100). Higher disaster safety score = lower relative risk. State-level values are county averages.
Crime, schools, childcare, and environment data shown at state level. Metro-specific data for these dimensions is not available.
Data from BEA, HUD, FBI UCR, BLS OES, NCES, DOL, EPA AQS, EPA SDWIS, HRSA, and FEMA NRI. Not affiliated with the U.S. Government.
Disclaimer: This comparison is provided for informational purposes only and does not constitute financial, legal, or relocation advice. Consult a qualified professional before making decisions based on this data.