New York City Health Atlas

Injury ER Visits

Compare This Metric


Number of emergency room visits for injuries, poisonings, or accidents.


Number of ER visits for injuries per 1,000 population.


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

Years of Data


Additional Resources

City Wide Average



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76.0 City-Wide

City Wide

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Injury ER Visit Rate Population (2011-2013)
All 76.0 24,793,148


Female 75.1 12,992,763
Male 103.0 11,800,384


Asian/Pacific Islander 29.8 3,205,606
Black 111.1 5,635,770
Hispanic 78.5 7,117,028
White 62.5 8,198,740


0-14 years 92.3 4,432,550
15-24 years 86.1 3,451,377
25-34 years 72.5 4,281,903
35-44 years 68.8 3,482,038
45-54 years 74.6 3,329,632
55-64 years 68.5 2,751,495
65-74 years 60.1 1,656,906
75+ years 65.8 1,407,246
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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.