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 3053800 Average

58.1

Averages

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76.0 City-Wide
82.9 Brooklyn
58.1 Tract

Census Tract 3053800

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Injury ER Visit Rate Population (2011-2013)
All 58.1 12,834

Sex

Female 61.5 6,261
Male 75.5 6,573

Race/Ethnicity

Asian/Pacific Islander 33.7 1,423
Black 0.0 123
Hispanic 89.3 1,590
White 43.8 9,408

Age

0-14 years 79.7 2,158
15-24 years 68.7 1,426
25-34 years 47.2 2,246
35-44 years 72.4 1,271
45-54 years 56.5 1,751
55-64 years 44.1 1,654
65-74 years 54.2 1,088
75+ years 38.4 1,223
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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.