New York City Health Atlas

Preventable Hospitalizations

Compare This Metric


Number of hospital stays for ambulatory care-sensitive conditions (ACS), or health conditions that are treatable in an outpatient setting. Conditions include asthma, hypertension, diabetes, gastroenteritis, congestive heart failure, angina, bacterial pneumonia, chronic obstructive pulmonary disease, cellulitis, kidney infection, and dehydration.


Hospital stays for ACS conditions per 1,000 population.


Statewide Planning and Research Cooperative System (SPARCS) Inpatient Data, 2011-2013.

Years of Data


Additional Resources

City Wide Average



Hide Show

21.3 City-Wide

City Wide

Hide Show

Preventable Hospitalization Rate Population (2011-2013)
All 21.3 24,793,148


Female 17.4 12,992,763
Male 17.8 11,800,384


Asian/Pacific Islander 5.3 3,205,606
Black 24.7 5,635,770
Hispanic 15.4 7,117,028
White 11.0 8,198,740


0-14 years 13.9 4,432,550
15-24 years 6.4 3,451,377
25-34 years 6.3 4,281,903
35-44 years 9.8 3,482,038
45-54 years 19.2 3,329,632
55-64 years 29.2 2,751,495
65-74 years 49.4 1,656,906
75+ years 112.1 1,407,246
Download Table (.CSV)

Correlation Is Not Causation

In statistics, correlation is a measure of association between two numeric variables. The strength of correlation between two variables is represented by the correlation coefficient, represented by the abbreviation r. Correlation coefficients range between -1 to 1.

Though the correlation coefficient indicates the strength of an association, it does not provide information about whether the change in one variable is caused by the other.

For example, if the correlation between adult smoking prevalence and child poverty is 0.7—a strong correlation—we cannot say either that adult smoking causes child poverty or, inversely, that child poverty causes smoking. We only know that as one of these variables increases, the other tends to increases.