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 3082200 Average

120.9

Averages

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76.0 City-Wide
82.9 Brooklyn
120.9 Tract

Census Tract 3082200

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Injury ER Visit Rate Population (2011-2013)
All 120.9 20,427

Sex

Female 111.9 11,490
Male 184.1 8,935

Race/Ethnicity

Asian/Pacific Islander 437.9 153
Black 97.9 16,953
Hispanic 214.5 2,145
White 507.3 895

Age

0-14 years 125.8 4,498
15-24 years 169.6 2,312
25-34 years 114.3 3,411
35-44 years 114.4 2,763
45-54 years 132.8 2,470
55-64 years 117.5 2,205
65-74 years 75.6 1,798
75+ years 85.6 958
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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.