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 1015400 Average

42.2

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
42.2 Tract

Census Tract 1015400

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 42.2 39,824

Sex

Female 42.5 22,138
Male 57.3 17,686

Race/Ethnicity

Asian/Pacific Islander 17.4 4,188
Black 307.3 1,061
Hispanic 81.4 5,480
White 25.1 28,274

Age

0-14 years 81.9 4,016
15-24 years 53.5 3,572
25-34 years 33.4 9,770
35-44 years 34.2 6,164
45-54 years 49.3 4,365
55-64 years 38.2 4,998
65-74 years 37.7 2,890
75+ years 27.2 3,970
Download Table (.CSV)

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.