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 1022500 Average

112.5

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
112.5 Tract

Census Tract 1022500

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 112.5 30,514

Sex

Female 100.1 17,472
Male 168.3 13,042

Race/Ethnicity

Asian/Pacific Islander 362.5 251
Black 143.3 6,902
Hispanic 71.3 19,039
White 168.3 3,713

Age

0-14 years 149.2 4,364
15-24 years 146.3 3,759
25-34 years 81.2 7,240
35-44 years 104.4 4,165
45-54 years 134.8 3,367
55-64 years 102.8 3,678
65-74 years 79.5 2,464
75+ years 123.4 1,459
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.