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 2018400 Average

41.1

Averages

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76.0 City-Wide
103.2 Bronx
41.1 Tract

Census Tract 2018400

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Injury ER Visit Rate Population (2011-2013)
All 41.1 11,604

Sex

Female 40.7 5,853
Male 49.3 5,746

Race/Ethnicity

Asian/Pacific Islander 71.4 196
Black 229.9 561
Hispanic 51.6 4,279
White 8.4 6,465

Age

0-14 years 46.4 2,071
15-24 years 58.2 1,443
25-34 years 64.7 1,160
35-44 years 27.2 2,242
45-54 years 47.5 1,348
55-64 years 35.7 1,455
65-74 years 35.8 783
75+ years 15.5 1,095
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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.