Hospitalizations From Uterine Fibroids

According to the Mayo Clinic, uterine fibroids (also known as uterine leiomyomas) are noncancerous growths in the uterus that can develop during a woman's childbearing years. They are associated with infertility and can cause excessive menstrual bleeding, pelvic pain and other symptoms that affect a woman’s quality of life.

The cause of fibroids is not well understood. Risk factors for uterine fibroids include a family history of fibroids, obesity, early onset of puberty, race, age, time since last birth, premenopausal states, hypertension and diet. Approximately, 20%–80% of women develop fibroids by age 50 years.

In 2024, in Alachua County, the rate per 100,000 population of Hospitalizations From Uterine Fibroids ages 15-54 was 284 compared to Florida at 322.9 for all modes of exposure and age groups. The line graph shows change over time when there are at least three years of data.

Alachua County is in the third quartile for this measure. This means that relative to other counties in Florida, the situation occurs less often in about one half of the counties, and it occurs more often in about one quarter 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:   Uterine Fibroids Resource | Other Resource
Alachua County
Hospitalizations From Uterine Fibroids, Ages 15-54, Rate Per 100,000 Population, Single Year
Click on county name or “Florida” in the legend to hide or show the county or state.
Hospitalizations From Uterine Fibroids, Ages 15-54, Rate Per 100,000 Population, Single Year  
AlachuaFlorida
Data YearCountDenomRateMOVCountDenomRateMOV
202426091,561284.0*34.518,1545,620,085323.04.7
202319089,389212.6*30.217,5895,520,934318.64.7
202218687,838211.8*30.416,6085,439,246305.34.6
202117283,392206.3*30.816,1425,367,933300.74.6
202018482,058224.2*32.414,3745,318,909270.24.4
201917281,368211.4*31.615,7665,271,860299.14.7
201815480,983190.2*30.014,9535,237,184285.54.6
201717479,666218.4*32.414,9005,165,525288.54.6
201616679,805208.0*31.615,7175,125,872306.64.8
201517279,724215.7*32.216,9195,081,240333.05.0
201416179,128203.5*31.416,6525,042,203330.35.0
201314479,016182.2*29.715,9855,012,348318.94.9
201213079,397163.7*28.116,9745,002,448339.35.1
201116580,030206.2*31.418,3864,991,171368.45.3
201023280,325288.8*37.120,4284,938,519413.65.7
Florida
Hospitalizations From Uterine Fibroids, Ages 15-54, Rate Per 100,000 Population, 2024
* Mouseover map to see county name and value. * Click a legend category to hide or show that category.
Hospitalizations From Uterine Fibroids, Ages 15-54, Rate Per 100,000 Population, 2024    
CountyCountDenomRateMOV
Florida18,1505,620,085322.94.7
Alachua26091,561284.0*34.5
Baker117,093155.1*91.6
Bay12346,634263.8*46.6
Bradford126,022199.3*112.6
Brevard352145,304242.3*25.3
Broward2,263510,117443.6*18.2
Calhoun72,984234.6173.6
Charlotte7833,627232.0*51.4
Citrus4829,488162.8*46.0
Clay14960,074248.0*39.8
Collier28777,170371.9*42.9
Columbia4916,394298.983.6
Miami-Dade2,565726,207353.2*13.6
DeSoto196,645285.9128.4
Dixie123.6
Duval1,030290,755354.3*21.6
Escambia20685,298241.5*32.9
Flagler7527,358274.162.0
Franklin41.5
Gadsden5310,988482.3*129.5
Gilchrist104,288233.2144.4
Glades41.9
Gulf65.9
Hamilton52,735182.8160.1
Hardee175,894288.4136.9
Hendry299,689299.3108.8
Hernando13647,003289.348.6
Highlands5719,507292.275.7
Hillsborough1,484432,502343.1*17.4
Holmes54,203119.0*104.2
Indian River7631,573240.7*54.1
Jackson2210,111217.6*90.8
Jefferson93,068293.4191.4
Lafayette55.9
Lake29196,218302.434.7
Lee562175,080321.026.5
Leon25796,359266.7*32.6
Levy2610,212254.697.7
Liberty66.5
Madison114,008274.5162.0
Manatee25196,360260.5*32.2
Marion28988,801325.437.5
Martin6630,597215.7*52.0
Monroe3418,186187.0*62.8
Nassau5123,154220.3*60.4
Okaloosa11254,592205.2*38.0
Okeechobee188,558210.3*97.1
Orange1,505441,089341.2*17.2
Osceola426127,702333.631.6
Palm Beach1,378355,438387.7*20.4
Pasco431152,477282.7*26.6
Pinellas562221,968253.2*20.9
Polk649208,863310.723.9
Putnam3516,614210.7*69.7
St. Johns10778,821135.8*25.7
St. Lucie44186,578509.4*47.4
Santa Rosa6250,656122.4*30.4
Sarasota15585,470181.4*28.5
Seminole509134,053379.7*32.9
Sumter2815,174184.5*68.3
Suwannee219,766215.0*91.9
Taylor64,499133.4*106.6
Union82,959270.4187.1
Volusia350133,459262.3*27.4
Wakulla238,483271.1110.7
Walton3719,448190.3*61.2
Washington34.5
12/15/2025 7:08:47 PM

Data Note(s)


FLHealthCHARTS.gov is provided by the Florida Department of Health, Division of Public Health Statistics and Performance Management.

Data Source: Florida Agency for Health Care Administration (AHCA)

  • ICD-9-CM Code(s): 218.0, 218.1, 218.2, 218.9 listed as the principal diagnosis. ICD-10-CM Code(s): D25.0, D25.1, D25.2, D25.9 listed as the principal diagnosis.

  • 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.

  • Blank data fields indicate results have been suppressed because counts are between 1 and 4.

  • To keep abreast of medical knowledge, the International Classification of Diseases (ICD) is revised periodically. Large increases or decreases in hospitalizations are typically indicative of such changes. Effective October 1, 2015, the ICD 9th Revision Clinical Modification (ICD-9-CM) transitioned to ICD 10th Revision Clinical Modification (ICD-10-CM). Hospitalization data before October 2015 use ICD-9-CM; starting in October 2015, hospitalization data use ICD-10-CM. Consequently increases or decreases starting in 2015 may not be due to changes in disease trends but due to changes in coding.

  • This is secondary, quantitative data.

  • All population-based rates are calculated using July 1 Florida population estimates from the Florida Legislature, Office of Economic and Demographic Research.