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Red > 8.4
Green <= 6.3
In-between = Yellow
Unit: hospitalizations/10,000 population 18+ years
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Age-Adjusted Hospitalization Rate due to Dehydration

Value: 5.8 hospitalizations/10,000 population 18+ years
Location: Region : Tampa Bay
Located in State: Florida
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Comparison: FL Counties
Categories: Health / Other Conditions
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What is this Indicator?
This indicator shows the average annual age-adjusted hospitalization rate due to dehydration per 10,000 population aged 18 years and older.
Why this is important: 
Dehydration is defined as the excessive loss of water from the body. Dehydration can result from various gastrointestinal diseases, diabetes, fever, burns and heat exposure, excessive exercise, and inadequate water intake. Infants and small children are much more likely to become dehydrated than older children or adults, because they can lose relatively more fluid quickly. Often, dehydration becomes the major problem in an otherwise self-limited illness. Symptoms may be difficult to distinguish from those of the original illness, but in general, the following signs are suggestive of dehydration: rapid weight loss, increasing thirst, dry mouth, weakness or lightheadedness (particularly if worsening on standing), darkening of the urine, or a decrease in urination. Severe dehydration can lead to changes in the body's chemistry, kidney failure, and can even become life-threatening.
Technical Note:  The distribution is based on data from 66 Florida counties.
Rates were calculated using population figures from the 2010 U.S. Census. Rates based on fewer than 10 hospitalizations are unstable and are not reported. Rates for zip codes with a population of less than 300 are not reported.
Source: Florida Agency for Health Care Administration
URL of Source:
Maintained By: Healthy Communities Institute
Last Updated: September 2013

Time Series Data

2007-2009: 7.9 2008-2010: 7.4 2009-2011: 6.5 2010-2012: 5.8

hospitalizations/10,000 population 18+ years

Indicates a change in methodology
2010-2012 Due to a change in methodology, the 2010-2012 data should be considered a baseline year for data analysis and is not directly comparable to previous years.
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