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 3053400 Average

83.4

Averages

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76.0 City-Wide
82.9 Brooklyn
83.4 Tract

Census Tract 3053400

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Injury ER Visit Rate Population (2011-2013)
All 83.4 11,184

Sex

Female 84.5 5,694
Male 104.0 5,490

Race/Ethnicity

Asian/Pacific Islander 26.9 1,894
Black 327.7 763
Hispanic 228.4 753
White 63.1 7,506

Age

0-14 years 79.0 2,671
15-24 years 102.6 1,248
25-34 years 82.4 1,784
35-44 years 107.6 1,087
45-54 years 142.4 962
55-64 years 54.5 1,946
65-74 years 56.4 567
75+ years 60.9 903
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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.