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 3028000 Average

39.6

Averages

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76.0 City-Wide
82.9 Brooklyn
39.6 Tract

Census Tract 3028000

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Injury ER Visit Rate Population (2011-2013)
All 39.6 5,001

Sex

Female 44.6 2,400
Male 50.0 2,601

Race/Ethnicity

Asian/Pacific Islander 15.4 1,426
Black 0.0 7
Hispanic 78.4 561
White 31.8 2,833

Age

0-14 years 89.4 604
15-24 years 38.0 684
25-34 years 30.7 1,139
35-44 years 57.1 385
45-54 years 23.8 757
55-64 years 28.8 728
65-74 years 36.9 325
75+ years 27.5 363
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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.