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 3005201 Average

57.8

Averages

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76.0 City-Wide
82.9 Brooklyn
57.8 Tract

Census Tract 3005201

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Injury ER Visit Rate Population (2011-2013)
All 57.8 5,071

Sex

Female 42.0 3,382
Male 125.0 1,688

Race/Ethnicity

Asian/Pacific Islander 32.5 492
Black 0.0 39
Hispanic 217.1 327
White 37.9 3,907

Age

0-14 years 137.3 386
15-24 years 153.0 281
25-34 years 163.3 294
35-44 years 57.0 596
45-54 years 57.8 658
55-64 years 52.6 760
65-74 years 42.1 594
75+ years 8.0 1,495
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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.