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 3036100 Average

241.3

Averages

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76.0 City-Wide
82.9 Brooklyn
241.3 Tract

Census Tract 3036100

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Injury ER Visit Rate Population (2011-2013)
All 241.3 6,677

Sex

Female 267.3 3,423
Male 322.6 3,252

Race/Ethnicity

Asian/Pacific Islander 240.0 150
Black 238.7 4,964
Hispanic 188.2 1,504
White 0.0 38

Age

0-14 years 254.7 1,480
15-24 years 222.7 1,172
25-34 years 407.6 687
35-44 years 164.0 1,122
45-54 years 233.0 957
55-64 years 326.7 453
65-74 years 169.7 436
75+ years 182.9 350
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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.