Mortality > Table
Death Rates Table
County |
2023 Rural-Urban Continuum Codes Φ |
Met Healthy People Objective of 122.7? |
Age-Adjusted Death Rate † deaths per 100,000 (95% Confidence Interval) |
CI*Rank ⋔ (95% Confidence Interval) |
Average Annual Count |
Recent Trend |
Recent 5-Year Trend ‡ in Death Rates (95% Confidence Interval) |
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Florida | N/A | Yes | 108.0 (106.8, 109.2) | N/A | 6,264 | falling | -1.1 (-1.6, -1.0) |
United States 6 | N/A | Yes | 106.8 (106.4, 107.3) | N/A | 44,330 | falling | -1.1 (-1.2, -1.1) |
Union County | Rural | No | 491.5 (264.4, 825.1) | 1 (1, 4) | 3 |
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Nassau County | Urban | No | 182.1 (116.0, 268.8) | 2 (1, 43) | 5 |
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Walton County | Urban | No | 153.1 (87.1, 243.5) | 3 (1, 48) | 4 |
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Okeechobee County | Rural | No | 143.0 (97.6, 200.0) | 4 (2, 44) | 9 |
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Hardee County | Rural | No | 134.7 (92.2, 188.2) | 5 (2, 45) | 8 |
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Suwannee County | Rural | No | 134.2 (82.5, 204.3) | 6 (2, 48) | 4 |
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Hendry County | Rural | Yes | 122.2 (96.9, 151.5) | 7 (2, 42) | 18 | stable | 0.2 (-1.1, 2.2) |
Osceola County | Urban | Yes | 120.4 (113.1, 128.0) | 8 (4, 18) | 214 | stable | -0.4 (-0.9, 0.5) |
Citrus County | Urban | Yes | 116.4 (90.7, 147.6) | 9 (2, 44) | 15 | stable | -0.3 (-1.5, 1.7) |
Indian River County | Urban | Yes | 115.8 (95.6, 138.9) | 10 (3, 40) | 24 |
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Hillsborough County | Urban | Yes | 114.4 (109.5, 119.6) | 11 (5, 21) | 412 | falling | -1.0 (-3.5, -0.6) |
Miami-Dade County | Urban | Yes | 114.3 (112.4, 116.2) | 12 (7, 18) | 2,871 | falling | -1.1 (-1.2, -1.0) |
Marion County | Urban | Yes | 111.1 (98.9, 124.4) | 13 (4, 34) | 62 | falling | -1.2 (-2.8, -0.3) |
Lee County | Urban | Yes | 109.3 (101.3, 117.8) | 14 (6, 31) | 146 | stable | 0.5 (0.0, 1.4) |
Polk County | Urban | Yes | 109.3 (101.0, 118.0) | 15 (6, 31) | 140 | rising | 0.7 (0.2, 1.5) |
Columbia County | Rural | Yes | 108.5 (66.2, 166.4) | 16 (2, 48) | 4 |
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Santa Rosa County | Urban | Yes | 107.8 (73.2, 151.5) | 17 (2, 48) | 7 |
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Clay County | Urban | Yes | 107.3 (83.5, 135.2) | 18 (3, 46) | 16 |
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Lake County | Urban | Yes | 106.3 (94.3, 119.3) | 19 (6, 39) | 59 |
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Volusia County | Urban | Yes | 106.0 (96.2, 116.4) | 20 (7, 36) | 88 | stable | 0.1 (-0.5, 1.1) |
Orange County | Urban | Yes | 105.4 (100.7, 110.3) | 21 (11, 31) | 392 | falling | -1.2 (-3.1, -0.7) |
Pasco County | Urban | Yes | 105.4 (95.3, 116.2) | 22 (7, 37) | 84 | stable | -0.4 (-1.0, 0.6) |
Martin County | Urban | Yes | 103.8 (81.5, 129.9) | 23 (4, 46) | 16 |
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St. Lucie County | Urban | Yes | 103.4 (92.1, 115.7) | 24 (7, 41) | 63 | stable | -1.0 (-1.8, 0.3) |
Seminole County | Urban | Yes | 101.5 (92.2, 111.4) | 25 (9, 39) | 91 | stable | -0.7 (-1.4, 0.3) |
Broward County | Urban | Yes | 101.4 (97.8, 105.1) | 26 (16, 34) | 620 | falling | -0.5 (-0.8, -0.1) |
Manatee County | Urban | Yes | 98.1 (84.9, 112.5) | 27 (8, 44) | 44 | stable | -0.5 (-1.5, 1.5) |
Hernando County | Urban | Yes | 97.9 (83.3, 114.3) | 28 (7, 45) | 32 | stable | -1.3 (-2.1, 0.2) |
Charlotte County | Urban | Yes | 97.5 (78.1, 120.6) | 29 (5, 46) | 18 | stable | -1.2 (-2.5, 1.0) |
Duval County | Urban | Yes | 97.3 (86.8, 108.6) | 30 (11, 43) | 69 | stable | -0.1 (-0.9, 1.0) |
Sarasota County | Urban | Yes | 97.0 (84.0, 111.5) | 31 (8, 45) | 41 |
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Pinellas County | Urban | Yes | 95.5 (86.6, 104.9) | 32 (15, 44) | 88 | stable | -0.4 (-1.0, 0.4) |
Levy County | Urban | Yes | 95.1 (54.7, 153.1) | 33 (2, 48) | 3 |
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Alachua County | Urban | Yes | 94.0 (74.2, 117.1) | 34 (5, 47) | 17 | stable | -0.6 (-2.1, 2.0) |
St. Johns County | Urban | Yes | 91.5 (72.4, 113.8) | 35 (7, 47) | 17 |
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Palm Beach County | Urban | Yes | 90.9 (86.3, 95.7) | 36 (26, 44) | 299 | falling | -1.3 (-2.4, -0.7) |
Brevard County | Urban | Yes | 90.3 (80.5, 100.9) | 37 (19, 46) | 63 | falling | -1.5 (-2.2, -0.3) |
Collier County | Urban | Yes | 90.3 (81.3, 99.9) | 38 (21, 45) | 77 | falling | -1.5 (-2.1, -0.4) |
Highlands County | Urban | Yes | 89.5 (73.2, 108.3) | 39 (10, 47) | 21 | stable | 0.0 (-1.0, 1.9) |
Flagler County | Urban | Yes | 88.0 (69.3, 110.5) | 40 (9, 48) | 16 |
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Escambia County | Urban | Yes | 87.0 (63.8, 115.3) | 41 (6, 48) | 10 |
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Okaloosa County | Urban | Yes | 81.6 (58.0, 110.7) | 42 (7, 48) | 9 |
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Leon County | Urban | Yes | 80.7 (57.7, 109.1) | 43 (7, 48) | 9 |
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Sumter County | Urban | Yes | 80.5 (57.3, 110.7) | 44 (8, 48) | 8 |
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Monroe County | Rural | Yes | 79.9 (64.6, 97.8) | 45 (20, 48) | 19 | falling | -4.5 (-17.8, -1.5) |
DeSoto County | Rural | Yes | 69.8 (39.6, 111.5) | 46 (7, 48) | 4 |
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Putnam County | Rural | Yes | 67.9 (40.6, 105.6) | 47 (9, 48) | 4 |
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Bay County | Urban | Yes | 60.8 (38.4, 90.5) | 48 (23, 48) | 5 |
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Baker County | Urban | *** |
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Bradford County | Rural | *** |
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Calhoun County | Rural | *** |
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Dixie County | Rural | *** |
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Franklin County | Rural | *** |
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Gadsden County | Urban | *** |
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Gilchrist County | Urban | *** |
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Glades County | Rural | *** |
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Gulf County | Rural | *** |
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Hamilton County | Rural | *** |
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Holmes County | Rural | *** |
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Jackson County | Rural | *** |
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Jefferson County | Urban | *** |
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Lafayette County | Rural | *** |
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Liberty County | Rural | *** |
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Madison County | Rural | *** |
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Taylor County | Rural | *** |
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Wakulla County | Urban | *** |
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Washington County | Urban | *** |
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Notes:
Created by statecancerprofiles.cancer.gov on 10/07/2024 7:19 pm.
State Cancer Registries may provide more current or more local data.
† Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2030 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The US Population Data File is used with mortality data.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.
Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.
6 Hispanic mortality recent trend data for the United States has been excluded for the following states: Louisiana, New Hampshire, and Oklahoma. The data on Hispanic and non-Hispanic mortality for these states may be unreliable for the time period used in the generation of the recent trend (1990 - 2022) and has been excluded from the calculation of the United States recent trend. This was based on the NCHS Policy.
Φ Rural-Urban Continuum Codes provided by the USDA.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).
Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.
NHIA (NAACCR Hispanic Identification Algorithm) was used for Hispanic Ethnicity (see Technical Notes section of the USCS).
Statistics for minorities may be affected by inconsistent race identification between the cancer case reports (sources for numerator of rate) and data from the Census Bureau (source for denominator of rate); and from undercounts of some population groups in the census.
Data for United States does not include Puerto Rico.
When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.
Created by statecancerprofiles.cancer.gov on 10/07/2024 7:19 pm.
State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.
† Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2030 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The US Population Data File is used with mortality data.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.
Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.
6 Hispanic mortality recent trend data for the United States has been excluded for the following states: Louisiana, New Hampshire, and Oklahoma. The data on Hispanic and non-Hispanic mortality for these states may be unreliable for the time period used in the generation of the recent trend (1990 - 2022) and has been excluded from the calculation of the United States recent trend. This was based on the NCHS Policy.
Φ Rural-Urban Continuum Codes provided by the USDA.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).
Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.
NHIA (NAACCR Hispanic Identification Algorithm) was used for Hispanic Ethnicity (see Technical Notes section of the USCS).
Statistics for minorities may be affected by inconsistent race identification between the cancer case reports (sources for numerator of rate) and data from the Census Bureau (source for denominator of rate); and from undercounts of some population groups in the census.
Data for United States does not include Puerto Rico.
When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.