Deaths from Blood Clots

Deaths from Blood Clots

A blood clot is formed when blood changes from a liquid to a gel or semisolid state. Sometimes blood clots do not dissolve on their own and can become dangerous.

Blood clots may result in a pulmonary embolism or other life-threatening complications. This is when a blood clot moves to the lungs, heart, or brain and restricts proper blood flow. Results of a blood clot may include damaged lungs, heart failure, and potentially death.

In 2022, the age-adjusted rate per 100,000 of Deaths from Blood Clots in Alachua County was 5.4 compared to Florida at 2.8. The line graph shows change over time when there are at least three years of data.

Alachua County is in the fourth quartile for this measure. This means that relative to other counties in Florida, the age-adjusted rate per 100,000 of Deaths from Blood Clots is less in about three quarters of the counties.

The map illustrates county data by quartile. A quartile map is presented when there are at least 51 counties with data for this measure.

Links:   Healthy People 2030 | Other Resource
Alachua County
Age-adjusted Deaths from Blood Clots, Single Year
Click on county name or “Florida” in the legend to hide or show the county or state.
Age-adjusted Deaths from Blood Clots, Rate Per 100,000 Population, Single Year  
AlachuaFlorida
Data YearCountRateCountRate
2022175.48462.8
2021144.88933.0
202072.78523.0
2019114.47742.7
2018145.07692.7
201782.97442.7
2016114.57582.8
201583.06972.6
2014104.36562.6
201331.46672.7
201241.86182.5
201142.06152.6
201083.86102.5
200973.06072.6
200831.55802.4
200784.06022.6
200663.16032.6
200584.37103.1
Florida
Age-adjusted Deaths from Blood Clots, Rate Per 100,000 Population, 2022
*Mouseover map to see county name and value.   * Click a legend category to hide or show that category.
Age-adjusted Deaths from Blood Clots, Rate Per 100,000 Population, 2022    
CountyCountRate
Florida8462.8
Alachua175.4
Baker00.0
Bay135.7
Bradford12.3
Brevard444.4
Broward592.4
Calhoun17.2
Charlotte123.0
Citrus51.3
Clay114.6
Collier172.4
Columbia44.3
Miami-Dade942.7
DeSoto13.4
Dixie13.4
Duval443.8
Escambia102.7
Flagler20.7
Franklin14.6
Gadsden611.1
Gilchrist18.2
Glades00.0
Gulf13.5
Hamilton00.0
Hardee00.0
Hendry12.5
Hernando61.6
Highlands74.4
Hillsborough603.6
Holmes311.7
Indian River62.6
Jackson22.9
Jefferson14.4
Lafayette219.4
Lake152.1
Lee271.9
Leon82.9
Levy22.9
Liberty00.0
Madison00.0
Manatee141.6
Marion223.6
Martin51.4
Monroe42.4
Nassau43.2
Okaloosa83.4
Okeechobee23.5
Orange332.2
Osceola81.9
Palm Beach532.3
Pasco253.2
Pinellas463.2
Polk313.2
Putnam43.8
St. Johns71.7
St. Lucie111.7
Santa Rosa73.1
Sarasota232.8
Seminole122.0
Sumter30.4
Suwannee00.0
Taylor29.1
Union00.0
Volusia334.0
Wakulla12.7
Walton10.6
Washington13.3
12/4/2024 7:25:45 AM

Data Note(s)


Data Source: Florida Department of Health, Bureau of Vital Statistics

  • ICD-9-CM Code(s): 415.1, 444, 451-553, 429.89, 429.79, 671.2-671.5, 671.9, 673.2. ICD-10-CM Code(s): I26, I74, I80-I82, I51.3, I23.6, O22.9, O87.0-O87.1, O87.9, O88.2.

  • Chart will display if there are at least three years of data.

  • Multi-year counts are a sum of the selected years, not an average.

  • Quartiles are calculated when data is available for at least 51 counties.

  • MOV - Measure of Variability: Probable range of values resulting from random fluctuations in the number of events. Not calculated when numerator is below 5 or denominator is below 20, or count or rate is suppressed. The MOV is useful for comparing rates to a goal or standard. For example, if the absolute difference between the county rate and the statewide rate is less than the MOV, the county rate is not significantly different from the statewide rate (alpha level = 0.05). When the absolute difference between the county rate and the statewide rate is greater than the MOV, the county rate is significantly different from the statewide rate. MOV should not be used to determine if the rates of two different counties, or the county rates for two different years, are statistically significantly different.

  • Denom - abbreviated for Denominator.

  • Population estimates are not available for persons whose county of residence is unknown. Given this, the denominator and associated rate are not available.

  • * - Indicates the county rate is statistically significantly different from the statewide rate.