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 2026500 Average

108.3

Averages

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76.0 City-Wide
103.2 Bronx
108.3 Tract

Census Tract 2026500

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Injury ER Visit Rate Population (2011-2013)
All 108.3 20,505

Sex

Female 106.3 11,239
Male 137.3 9,265

Race/Ethnicity

Asian/Pacific Islander 24.1 1,827
Black 189.7 3,310
Hispanic 70.3 14,486
White 608.9 358

Age

0-14 years 113.4 4,224
15-24 years 109.0 3,625
25-34 years 99.7 3,561
35-44 years 105.6 2,756
45-54 years 100.4 2,800
55-64 years 141.1 1,566
65-74 years 100.0 1,030
75+ years 102.6 926
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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.