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 1011203 Average

41.5

Averages

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76.0 City-Wide
65.8 Manhattan
41.5 Tract

Census Tract 1011203

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Injury ER Visit Rate Population (2011-2013)
All 41.5 3,546

Sex

Female 45.0 2,109
Male 58.5 1,437

Race/Ethnicity

Asian/Pacific Islander 12.3 567
Black 0.0 30
Hispanic 68.1 382
White 27.9 2,508

Age

0-14 years 87.2 367
15-24 years 36.6 573
25-34 years 49.7 463
35-44 years 28.9 450
45-54 years 47.5 400
55-64 years 31.3 448
65-74 years 22.8 394
75+ years 37.5 427
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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.