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 1015900 Average

33.3

Averages

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76.0 City-Wide
65.8 Manhattan
33.3 Tract

Census Tract 1015900

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Injury ER Visit Rate Population (2011-2013)
All 33.3 26,396

Sex

Female 36.4 13,846
Male 41.0 12,549

Race/Ethnicity

Asian/Pacific Islander 7.7 2,849
Black 585.1 282
Hispanic 193.5 1,116
White 15.6 21,461

Age

0-14 years 48.5 2,724
15-24 years 59.9 1,904
25-34 years 28.8 5,272
35-44 years 29.4 4,360
45-54 years 27.7 4,152
55-64 years 23.3 4,326
65-74 years 35.1 1,736
75+ years 39.7 1,891
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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.