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 2021602 Average

82.0

Averages

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76.0 City-Wide
103.2 Bronx
82.0 Tract

Census Tract 2021602

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Injury ER Visit Rate Population (2011-2013)
All 82.0 18,745

Sex

Female 71.3 10,045
Male 112.8 8,697

Race/Ethnicity

Asian/Pacific Islander 13.4 3,210
Black 62.3 7,800
Hispanic 94.1 6,791
White 415.1 424

Age

0-14 years 100.9 3,470
15-24 years 98.2 2,362
25-34 years 81.5 2,970
35-44 years 51.9 3,139
45-54 years 83.8 2,494
55-64 years 83.9 2,409
65-74 years 86.6 889
75+ years 64.1 967
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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.