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 2042800 Average

85.0

Averages

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76.0 City-Wide
103.2 Bronx
85.0 Tract

Census Tract 2042800

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Injury ER Visit Rate Population (2011-2013)
All 85.0 6,262

Sex

Female 71.4 3,794
Male 130.2 2,465

Race/Ethnicity

Asian/Pacific Islander 166.7 120
Black 35.3 5,246
Hispanic 583.3 396
White 192.8 223

Age

0-14 years 139.6 874
15-24 years 120.3 823
25-34 years 141.2 786
35-44 years 52.4 1,125
45-54 years 71.2 885
55-64 years 40.9 1,051
65-74 years 28.0 535
75+ years 116.3 172
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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.