New York City Health Atlas

Injury ER Visits

Compare This Metric

Description

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


Calculation

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


Source

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


Years of Data

2011-2013


Additional Resources

City Wide Average

76.0

Census Tract 1007700 Average

36.6

Averages

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76.0 City-Wide
65.8 Manhattan
36.6 Tract

Census Tract 1007700

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Injury ER Visit Rate Population (2011-2013)
All 36.6 16,404

Sex

Female 38.6 8,007
Male 46.5 8,386

Race/Ethnicity

Asian/Pacific Islander 28.4 1,128
Black 366.1 295
Hispanic 174.0 908
White 17.1 13,367

Age

0-14 years 97.3 843
15-24 years 108.1 814
25-34 years 20.9 5,158
35-44 years 25.2 3,332
45-54 years 31.1 2,572
55-64 years 47.9 1,523
65-74 years 39.7 1,107
75+ years 39.9 1,027
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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.