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 4026600 Average

106.6

Averages

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76.0 City-Wide
51.9 Queens
106.6 Tract

Census Tract 4026600

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Injury ER Visit Rate Population (2011-2013)
All 106.6 5,490

Sex

Female 100.1 3,068
Male 149.9 2,422

Race/Ethnicity

Asian/Pacific Islander 70.8 565
Black 72.5 3,916
Hispanic 176.5 714
White 0.0 0

Age

0-14 years 175.4 901
15-24 years 124.1 806
25-34 years 152.3 512
35-44 years 125.7 525
45-54 years 195.3 384
55-64 years 88.2 669
65-74 years 32.7 949
75+ years 24.7 730
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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.