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Incidence Rates Table

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Incidence Rate Report for Ohio by County

Leukemia, 2011-2015

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
 sort by rate ascending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
 sort by trend descending
Ohio 6,10 *** 12.1 (11.8, 12.4) 1,613 stable stable trend -1.1 (-3.7, 1.6)
US (SEER+NPCR) 1,10 *** 13.6 (13.6, 13.7) 47,270 falling falling trend -1.6 (-2.7, -0.5)
Vinton County 6,10 *** 24.3 (14.3, 38.9) 4 stable stable trend 30.3 (-24.2, 123.9)
Noble County 6,10 *** 19.5 (10.7, 33.0) 3
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Perry County 6,10 *** 18.8 (13.0, 26.2) 7 stable stable trend -7.9 (-41.0, 43.9)
Washington County 6,10 *** 18.4 (14.4, 23.4) 15 stable stable trend -9.5 (-26.0, 10.6)
Morgan County 6,10 *** 17.7 (10.2, 29.0) 4 stable stable trend 15.5 (-22.5, 72.1)
Pickaway County 6,10 *** 17.0 (12.6, 22.4) 10 stable stable trend -5.0 (-29.5, 28.0)
Knox County 6,10 *** 16.8 (12.9, 21.7) 13 stable stable trend -2.2 (-24.2, 26.2)
Ottawa County 6,10 *** 16.4 (11.8, 22.5) 10 stable stable trend 6.9 (-21.0, 44.8)
Lawrence County 6,10 *** 16.1 (12.2, 20.8) 12 rising rising trend 26.3 (17.3, 36.0)
Medina County 6,10 *** 15.9 (13.4, 18.7) 32 stable stable trend 0.2 (-17.3, 21.4)
Athens County 6,10 *** 15.6 (11.1, 21.3) 8 stable stable trend -2.7 (-33.1, 41.6)
Henry County 6,10 *** 15.1 (9.7, 22.6) 5 stable stable trend 40.0 (-9.7, 117.0)
Muskingum County 6,10 *** 15.1 (11.8, 19.0) 15 stable stable trend 5.7 (-18.1, 36.4)
Sandusky County 6,10 *** 14.6 (10.9, 19.3) 11 stable stable trend 0.9 (-12.5, 16.3)
Scioto County 6,10 *** 14.5 (11.1, 18.5) 13 stable stable trend 1.5 (-23.3, 34.3)
Huron County 6,10 *** 14.4 (10.6, 19.1) 10 stable stable trend -15.0 (-40.1, 20.5)
Richland County 6,10 *** 14.1 (11.5, 17.1) 22 stable stable trend 1.9 (-33.0, 54.9)
Logan County 6,10 *** 14.1 (9.8, 19.7) 7 stable stable trend -0.8 (-43.4, 73.9)
Gallia County 6,10 *** 14.0 (9.0, 21.0) 5 stable stable trend 4.9 (-25.9, 48.4)
Auglaize County 6,10 *** 14.0 (9.9, 19.3) 8 stable stable trend -8.6 (-29.7, 18.9)
Wyandot County 6,10 *** 13.8 (8.2, 22.0) 4 stable stable trend 21.6 (-29.2, 108.7)
Clermont County 6,10 *** 13.8 (11.5, 16.3) 29 stable stable trend 6.4 (-11.1, 27.4)
Morrow County 6,10 *** 13.7 (8.8, 20.5) 5 stable stable trend 7.9 (-32.5, 72.3)
Lake County 6,10 *** 13.7 (11.9, 15.8) 41 stable stable trend -0.0 (-18.8, 23.1)
Wayne County 6,10 *** 13.5 (10.8, 16.7) 18 stable stable trend 2.7 (-11.7, 19.5)
Portage County 6,10 *** 13.5 (11.1, 16.2) 24 stable stable trend -2.0 (-22.4, 23.7)
Fulton County 6,10 *** 13.3 (9.0, 18.9) 7 stable stable trend -3.7 (-42.8, 61.9)
Ross County 6,10 *** 13.3 (10.0, 17.3) 12 stable stable trend 12.8 (-3.7, 32.2)
Monroe County 6,10 *** 13.2 (7.5, 22.6) 3
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Licking County 6,10 *** 12.8 (10.6, 15.4) 25 stable stable trend 2.9 (-17.0, 27.6)
Marion County 6,10 *** 12.8 (9.4, 17.1) 10 stable stable trend 12.1 (-34.0, 90.6)
Holmes County 6,10 *** 12.8 (8.3, 18.7) 5 stable stable trend -0.8 (-19.4, 22.2)
Clark County 6,10 *** 12.7 (10.3, 15.5) 21 stable stable trend -2.0 (-10.6, 7.5)
Miami County 6,10 *** 12.7 (10.0, 15.9) 16 stable stable trend -9.9 (-32.0, 19.3)
Fayette County 6,10 *** 12.6 (7.7, 19.5) 4 stable stable trend 11.2 (-36.2, 93.8)
Warren County 6,10 *** 12.5 (10.5, 14.8) 29 stable stable trend 2.0 (-20.4, 30.8)
Cuyahoga County 6,10 *** 12.5 (11.7, 13.3) 193 stable stable trend -3.4 (-17.2, 12.7)
Lucas County 6,10 *** 12.5 (11.1, 14.0) 62 falling falling trend -11.5 (-13.8, -9.0)
Butler County 6,10 *** 12.4 (10.9, 14.1) 48 stable stable trend -2.2 (-15.9, 13.8)
Seneca County 6,10 *** 12.4 (8.8, 17.0) 8 stable stable trend -23.1 (-44.8, 7.2)
Pike County 6,10 *** 12.4 (7.5, 19.4) 4 stable stable trend 41.7 (-20.5, 152.5)
Belmont County 6,10 *** 12.3 (9.1, 16.2) 11 stable stable trend -1.4 (-29.7, 38.5)
Union County 6,10 *** 12.2 (8.4, 17.3) 7 stable stable trend 21.6 (-35.7, 130.1)
Geauga County 6,10 *** 12.2 (9.5, 15.5) 15 stable stable trend 6.1 (-14.7, 32.0)
Fairfield County 6,10 *** 12.1 (9.8, 14.8) 20 stable stable trend 14.0 (-32.2, 91.9)
Crawford County 6,10 *** 12.1 (8.2, 17.3) 7 stable stable trend 4.1 (-26.1, 46.7)
Van Wert County 6,10 *** 12.1 (7.3, 18.8) 4 stable stable trend -7.1 (-46.4, 61.0)
Summit County 6,10 *** 12.1 (10.9, 13.3) 81 stable stable trend 3.7 (-1.9, 9.7)
Delaware County 6,10 *** 12.0 (9.8, 14.6) 22 stable stable trend -1.9 (-15.0, 13.3)
Wood County 6,10 *** 12.0 (9.5, 15.0) 16 stable stable trend -18.5 (-34.4, 1.3)
Ashtabula County 6,10 *** 12.0 (9.3, 15.2) 15 stable stable trend 11.9 (-10.7, 40.4)
Preble County 6,10 *** 11.9 (8.1, 17.0) 6 stable stable trend -3.4 (-37.4, 49.0)
Guernsey County 6,10 *** 11.9 (7.8, 17.3) 6 stable stable trend 40.2 (-13.9, 128.1)
Allen County 6,10 *** 11.8 (9.2, 15.0) 14 stable stable trend 8.7 (-23.5, 54.6)
Trumbull County 6,10 *** 11.8 (10.0, 13.9) 32 stable stable trend -4.3 (-20.9, 15.6)
Ashland County 6,10 *** 11.8 (8.1, 16.5) 7 stable stable trend -8.2 (-40.4, 41.4)
Coshocton County 6,10 *** 11.7 (7.6, 17.4) 5 stable stable trend 13.2 (-24.2, 69.1)
Meigs County 6,10 *** 11.7 (6.9, 18.7) 4 stable stable trend -11.3 (-34.1, 19.4)
Hamilton County 6,10 *** 11.5 (10.5, 12.6) 103 stable stable trend -2.6 (-14.7, 11.3)
Brown County 6,10 *** 11.4 (7.6, 16.5) 6 stable stable trend -25.1 (-47.8, 7.4)
Franklin County 6,10 *** 11.4 (10.5, 12.3) 131 stable stable trend -1.2 (-17.2, 17.8)
Montgomery County 6,10 *** 11.3 (10.1, 12.6) 73 stable stable trend 4.9 (-0.4, 10.5)
Jackson County 6,10 *** 11.2 (7.0, 17.2) 4 stable stable trend -16.7 (-54.0, 50.9)
Columbiana County 6,10 *** 11.2 (8.7, 14.2) 15 stable stable trend -4.2 (-25.8, 23.6)
Putnam County 6,10 *** 11.1 (6.7, 17.2) 4 stable stable trend 26.2 (-31.9, 134.0)
Defiance County 6,10 *** 10.8 (6.8, 16.3) 5 stable stable trend -0.3 (-26.8, 35.7)
Erie County 6,10 *** 10.6 (7.9, 14.1) 11 stable stable trend -2.5 (-22.8, 23.1)
Hocking County 6,10 *** 10.5 (6.1, 17.0) 4 stable stable trend -19.5 (-47.8, 24.1)
Lorain County 6,10 *** 10.5 (9.0, 12.2) 38 stable stable trend -6.4 (-17.5, 6.3)
Hardin County 6,10 *** 10.4 (6.1, 16.8) 4 stable stable trend 4.5 (-36.3, 71.3)
Hancock County 6,10 *** 10.1 (7.4, 13.6) 9 stable stable trend -10.6 (-25.6, 7.5)
Adams County 6,10 *** 9.8 (5.5, 16.3) 3
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Stark County 6,10 *** 9.8 (8.5, 11.2) 44 stable stable trend -9.3 (-28.5, 14.9)
Madison County 6,10 *** 9.8 (6.2, 14.8) 5 stable stable trend 16.7 (-7.6, 47.3)
Greene County 6,10 *** 9.8 (7.8, 12.1) 18 stable stable trend -12.7 (-29.1, 7.5)
Mahoning County 6,10 *** 9.7 (8.1, 11.5) 30 stable stable trend -12.5 (-33.1, 14.5)
Highland County 6,10 *** 9.6 (6.2, 14.4) 5 stable stable trend 6.3 (-43.2, 98.9)
Champaign County 6,10 *** 8.9 (5.5, 13.9) 4 stable stable trend 8.9 (-44.8, 114.8)
Tuscarawas County 6,10 *** 8.8 (6.4, 11.7) 10 stable stable trend -8.1 (-34.8, 29.7)
Jefferson County 6,10 *** 8.7 (6.1, 12.0) 8 stable stable trend 11.0 (-5.5, 30.2)
Darke County 6,10 *** 8.5 (5.7, 12.4) 6 stable stable trend -7.4 (-29.5, 21.5)
Clinton County 6,10 *** 7.6 (4.6, 11.9) 4 stable stable trend -16.1 (-43.1, 23.7)
Williams County 6,10 *** 7.5 (4.3, 12.3) 3
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Mercer County 6,10 *** 7.3 (4.4, 11.6) 4 stable stable trend 5.4 (-31.2, 61.5)
Shelby County 6,10 *** 6.9 (4.1, 10.9) 4 stable stable trend 4.3 (-30.2, 55.9)
Carroll County 6,10 ***
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3 or fewer
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Harrison County 6,10 ***
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3 or fewer
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Paulding County 6,10 ***
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3 or fewer
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*
Notes:
Created by statecancerprofiles.cancer.gov on 05/22/2019 2:40 am.
Data for the United States does not include data from Nevada

*** No Healthy People 2020 Objective for this cancer.

State Cancer Registries may provide more current or more local data.
† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for SEER and NPCR incidence rates.
‡ Incidence data come 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 area for additional information.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

* 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).

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2017 data submission and SEER November 2017 submission as published in United States Cancer Statistics.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2017 data submission.
10 Source: Incidence data provided by the National Program of Cancer Registries (NPCR). EAPCs calculated by the National Cancer Institute using SEER*Stat. Rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2016 US Population Data File is used with NPCR November 2017 data.

Please note that the data comes from different sources. Due to different years of data availablility, 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.

Interpret Rankings provides insight into interpreting cancer incidence statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.

Data for United States does not include Puerto Rico.

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