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 2039500 Average

142.8

Averages

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76.0 City-Wide
103.2 Bronx
142.8 Tract

Census Tract 2039500

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Injury ER Visit Rate Population (2011-2013)
All 142.8 10,760

Sex

Female 149.1 5,461
Male 183.4 5,295

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 198.4 2,722
Hispanic 96.5 7,760
White 0.0 142

Age

0-14 years 129.8 2,705
15-24 years 134.0 2,037
25-34 years 179.3 1,545
35-44 years 185.3 1,020
45-54 years 120.9 1,902
55-64 years 180.9 724
65-74 years 112.7 417
75+ years 95.0 400
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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.