ZIP-code data does not contain household net worth. It does contain a thick set of proxies for neighborhood advantage: income, education, housing values, poverty, unemployment, and the Area Deprivation Index. Start there and a hard pattern appears. The places at the top of the socioeconomic ladder are not just richer. They are healthier on almost every measure the atlas tracks.
In this story, 23 of the 26 health measures are worse in the bottom wealth decile. The three exceptions are instructive: binge drinking is higher in affluent ZIP codes, cancer is more common in older affluent places, and skipped annual checkups is slightly higher in the top decile.
The wealth signals agree, but not perfectly
Median income is the strongest single proxy for the final score, but it is not the whole story. College attainment, home value, ADI, poverty, and unemployment all capture different parts of neighborhood advantage. The matrix below is the first check: if the proxies did not move together, a composite score would be a false precision machine. They do move together, though with enough daylight between them to justify using more than income alone.
Six ways of seeing neighborhood wealth
Spearman rank correlations across eligible ZIP/ZCTA areas; warm moves together, cool moves opposite
So the split is a composite, not a single cutoff
Each eligible ZIP/ZCTA is ranked from 0 to 100 on six aligned indicators: higher income, higher college attainment, higher home value, lower ADI, lower poverty, and lower unemployment. The six ranks are averaged. The bottom decile is the lowest tenth of ZIP/ZCTA areas on that average; the top decile is the highest tenth. This keeps one strange variable from deciding the story.
The resulting groups are stark. The bottom decile has an average median household income of $39,993, home value of $73,916, ADI rank of 86, and poverty of 25.9%. The top decile averages $139,723 income, $491,644 home value, ADI 15, and poverty 3.0%.
How the top and bottom deciles are defined
Each row is an aligned percentile rank; right means more socioeconomic advantage
The health gap opens before the bottom
Moving from the poorest decile to the wealthiest decile does not simply shave a few points off the tail risks. Some measures steadily unwind across the ladder. Food insecurity, smoking, obesity, diabetes, and tooth loss all fall as the score rises. Binge drinking moves the other way, a reminder that wealth changes the risk mix rather than magically improving every behavior.
Selected measures across the wealth ladder
Population-weighted mean prevalence by composite wealth decile
The bottom decile carries the burdens money can buy down
The biggest absolute gap is dental care. In the wealthiest tenth, 26.6% of adults are estimated to have gone without a recent dental visit; in the bottom tenth, it is 54.5%. Food insecurity is 3.8x higher, complete tooth loss among seniors is 4.1x higher, and smoking is 2.6x higher.
This is the central finding: the rich-poor ZIP-code comparison is not one disease story. It is a bundle. The bottom wealth decile has more chronic disease, more disability, more social need, more untreated oral-health risk, and more everyday barriers to prevention.
Top tenth versus bottom tenth, all 26 measures
Population-weighted mean prevalence; red dot is bottom wealth decile, blue dot is top wealth decile
What the comparison can and cannot say
This is a place-level comparison. It does not say that a richer person is healthier than a poorer person inside the same ZIP code, and it does not prove wealth causes every gap. It says something more spatial: America has ZIP codes where socioeconomic advantage piles up, and those same places tend to carry much lower health burden. The public-health target is not just one condition. It is the structure that lets many conditions cluster.