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Rate/Trend Comparison by Cancer Table

Data Options
Death Rate/Trend Comparison by Cancer, 2019-2023

Ohio Counties versus United States

Lung & Bronchus

All Races, Both Sexes
  Above US Rate Similar to US Rate Below US Rate
Rising
Trend		 Priority 1: rising and above

Priority 2: rising and similar

Priority 3: rising and below

Stable
Trend		 Priority 4: stable and above

Adams County
Carroll County
Coshocton County
Crawford County
Fayette County
Gallia County
Guernsey County
Hardin County
Highland County
Hocking County
Morgan County
Morrow County
Perry County
Pike County
Preble County
Shelby County
Vinton County		 Priority 6: stable and similar

Fulton County
Henry County
Holmes County
Monroe County
Van Wert County
Wyandot County		 Priority 7: stable and below

Falling
Trend		 Priority 5: falling and above

Allen County
Ashtabula County
Athens County
Auglaize County
Belmont County
Brown County
Butler County
Champaign County
Clark County
Clermont County
Clinton County
Columbiana County
Cuyahoga County
Erie County
Fairfield County
Hamilton County
Harrison County
Huron County
Jackson County
Jefferson County
Lake County
Lawrence County
Licking County
Logan County
Lucas County
Madison County
Mahoning County
Marion County
Meigs County
Miami County
Montgomery County
Muskingum County
Ottawa County
Paulding County
Pickaway County
Portage County
Richland County
Ross County
Sandusky County
Scioto County
Stark County
Summit County
Trumbull County
Tuscarawas County
Washington County
Wayne County
Williams County		 Priority 8: falling and similar

Ashland County
Darke County
Defiance County
Franklin County
Greene County
Hancock County
Knox County
Lorain County
Medina County
Mercer County
Noble County
Putnam County
Seneca County
Union County
Warren County
Wood County		 Priority 9: falling and below

Delaware County
Geauga County
Notes:
Created by statecancerprofiles.cancer.gov on 03/11/2026 3:25 pm.

Trend2
     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.
Rate Comparison
     Above    when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar    when unable to conclude above or below with confidence.
     Below    when 95% confident the rate is below and Rate Ratio3 < 0.90

1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). 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.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Interpret Rankings provides insight into interpreting cancer 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 do not include Puerto Rico.

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