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 2026300 Average

95.2

Averages

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76.0 City-Wide
103.2 Bronx
95.2 Tract

Census Tract 2026300

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Injury ER Visit Rate Population (2011-2013)
All 95.2 19,126

Sex

Female 88.2 10,560
Male 130.0 8,564

Race/Ethnicity

Asian/Pacific Islander 30.3 1,155
Black 171.9 3,043
Hispanic 61.8 13,844
White 166.7 1,038

Age

0-14 years 106.5 4,130
15-24 years 88.9 3,420
25-34 years 96.3 3,001
35-44 years 97.0 2,176
45-54 years 100.5 2,358
55-64 years 125.8 1,320
65-74 years 111.8 868
75+ years 41.5 1,832
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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.