What we found
Across the 108 California ZIPs with two or more publishable memory care facilities, the Pearson correlation between ZIP-level median household income and average deficiency rate is r = 0.23 — weak, statistically detectable (p = 0.018), but very far from a one-to-one relationship.
The direction of the small relationship that does exist runs against the popular intuition. Higher-income ZIPs have more deficiencies per inspection, not fewer. The Q4 (highest income) quartile averages 1.32 deficiencies per inspection; the Q1 (lowest income) quartile averages 0.52.
Deficiency rate by income quartile
Average deficiencies per inspection by ZIP-income quartile. Quartile cutoffs derived from the in-sample distribution of 108 ZIPs.
High-income ZIPs with poor inspection records
The aggregate result is concentrated in a handful of high-income ZIPs that post conspicuously bad records. Three illustrative examples:
- 94560Newark · median income $159,465 · 5.97 def/insp
- 94555Fremont · median income $202,832 · 4.78 def/insp
- 94536Fremont · median income $152,076 · 2.81 def/insp
Three points do not make a trend in isolation, but the same pattern appears across the full Q4 quartile. Wealthy California ZIPs are not, on average, where the cleanest inspection records live.
Why this matters for placement decisions
Income geography is one of the strongest cultural shortcuts families use when choosing care for a parent: the assumption is that a wealthier neighborhood will produce a better facility. This analysis gives that assumption a reality check — at least for memory care in California, ZIP-level income is not a reliable proxy for inspection performance.
The practical move is the same as in our cost-vs-quality analysis: read the actual inspection record on the facility profile. Geography is not a substitute.