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 2017901 Average

139.4

Averages

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76.0 City-Wide
103.2 Bronx
139.4 Tract

Census Tract 2017901

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Injury ER Visit Rate Population (2011-2013)
All 139.4 15,150

Sex

Female 145.0 7,622
Male 180.5 7,528

Race/Ethnicity

Asian/Pacific Islander 84.6 319
Black 193.2 3,240
Hispanic 59.7 11,404
White 0.0 118

Age

0-14 years 142.6 3,428
15-24 years 161.8 2,225
25-34 years 130.0 2,539
35-44 years 125.3 2,059
45-54 years 123.1 2,568
55-64 years 132.7 1,507
65-74 years 205.2 385
75+ years 186.5 429
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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.