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 3004600 Average

35.2

Averages

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76.0 City-Wide
82.9 Brooklyn
35.2 Tract

Census Tract 3004600

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Injury ER Visit Rate Population (2011-2013)
All 35.2 3,840

Sex

Female 31.8 2,261
Male 64.6 1,579

Race/Ethnicity

Asian/Pacific Islander 34.3 233
Black 0.0 7
Hispanic 90.4 354
White 15.7 3,188

Age

0-14 years 61.1 704
15-24 years 28.7 558
25-34 years 39.6 429
35-44 years 62.7 287
45-54 years 33.8 562
55-64 years 26.8 411
65-74 years 16.0 250
75+ years 11.3 618
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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.