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 2028500 Average

52.2

Averages

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76.0 City-Wide
103.2 Bronx
52.2 Tract

Census Tract 2028500

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Injury ER Visit Rate Population (2011-2013)
All 52.2 8,863

Sex

Female 58.3 4,116
Male 62.4 4,747

Race/Ethnicity

Asian/Pacific Islander 16.1 622
Black 292.6 352
Hispanic 72.7 2,942
White 15.3 4,762

Age

0-14 years 110.1 1,026
15-24 years 72.9 1,221
25-34 years 34.8 1,985
35-44 years 34.3 1,312
45-54 years 51.4 1,071
55-64 years 65.0 739
65-74 years 48.4 475
75+ years 20.6 1,020
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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.