Statistical Profile — GLENDORA HOSPITAL

🛡️ Public data only — no PHI permitted on this instance.

Beds

$15.8M

Net Revenue

-8.3%

Op Margin

71.2%

Occupancy

Outlier Flags

Statistical Profile — All Variables

Each metric compared to national (n=6,123) and CA (n=414) peers. Z-score shows standard deviations from national mean.

Metric	Hospital	Nat'l Median	CA Median	Z-Score	Nat'l %ile	State %ile
Beds	63	63	138	-0.39σ	P50	P25
Net Patient Revenue	$15.8M	$59.7M	$176.7M	-0.44σ	P16	P5 ▼
Operating Expenses	$17.1M	$62.7M	$191.8M	-0.43σ	P15	P3 ▼
Net Income	$-1.3M	$-2.1M	$-5.0M	+0.08σ	P54	P61
Gross Patient Revenue	$29.8M	$186.6M	$829.1M	-0.45σ	P14	P5 ▼
Total Patient Days	16,367	12,073	27,749	-0.29σ	P56	P34
Medicare Day %	39.6%	30.9%	25.9%	+0.28σ	P67	P75
Operating Margin	-8.3%	-4.8%	-4.9%	-0.09σ	P41	P43
Revenue per Bed	251,320	$1.2M	$1.5M	-0.64σ	P8 ▼	P3 ▼
Occupancy Rate	71.2%	53.7%	59.4%	+0.76σ	P73	P70
Commercial Payer %	60.4%	61.2%	64.7%	+0.06σ	P48	P38
Net-to-Gross Ratio	53.0%	33.3%	25.8%	+0.70σ	P78	P85
Expense per Bed	272,136	$1.2M	$1.7M	-0.54σ	P7 ▼	P2 ▼
Revenue per Patient Day	967.3819	7,054	7,799	-0.07σ	P5 ▼	P0 ▼
Payer Diversity Index	0.478	0.473	0.468	+0.29σ	P52	P53

Multi-Variable Regression Residuals

For each key metric, the national regression model predicts a value. The residual shows how much this hospital over/under-performs after controlling for all other variables.

Target	Model R²	Actual	Predicted	Residual
Net Patient Revenue	74.0%	$15.8M	nan	+nanσ
Operating Margin	2.1%	-0.0828	nan	+nanσ
Occupancy Rate	44.3%	0.7118	nan	+nanσ
Revenue Per Bed	2.6%	251,320	nan	+nanσ
Net To Gross Ratio	22.4%	0.5304	nan	+nanσ

Hospital Profile Demand Analysis 3-Year History National Regression CA Market