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 3074000 Average

76.8

Averages

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76.0 City-Wide
82.9 Brooklyn
76.8 Tract

Census Tract 3074000

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Injury ER Visit Rate Population (2011-2013)
All 76.8 10,774

Sex

Female 69.6 5,751
Male 103.3 5,023

Race/Ethnicity

Asian/Pacific Islander 37.4 829
Black 55.7 7,330
Hispanic 122.5 1,135
White 240.7 1,072

Age

0-14 years 81.1 2,071
15-24 years 79.1 1,441
25-34 years 88.9 1,519
35-44 years 72.6 1,501
45-54 years 47.6 2,351
55-64 years 119.8 776
65-74 years 61.7 600
75+ years 121.1 487
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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.