Health by ZIP

Measures › Prevention › Colorectal Cancer Screening

Prevention · BRFSS 2022

Colorectal cancer screening among adults aged 45–75 years

US estimate 66.3% (95% interval 65.9–66.8), age-adjusted 54.1% (53.7–54.6). Published in the 2022, 2023, 2024, 2025 releases.

  • Population: Adults aged 45–75 years
  • Case definition period: Previous year for FOBT alone, previous 3 years for FIT-DNA test alone, previous 5 years for sigmoidoscopy alone, 10 years for a sigmoidoscopy combined with a FIT in the past year, 10 years for a colonoscopy alone, and every 5 years for CT colonography (virtual colonoscopy) alone.
  • Prevalence (crude and age-adjusted)
64.2%median county, 2025middle half 61.0%–67.0%
3,143counties with a 2025 estimaterange 39.4%–79.1%

Colorectal cancer screening among adults aged 45–75 years: CDC's PLACES 2025 release estimates 66.3% nationally (95% confidence interval 65.9–66.8%), or 54.1% age-adjusted, from 2022 BRFSS responses.

Across the 3,143 counties with a 2025 estimate, the median county is 64.2% and the middle half of counties fall between 61.0% and 67.0%; the full range runs from 39.4% to 79.1%. Population-weighted state figures computed by this site (no interval) range from 57.5% (New Mexico) to 73.2% (Rhode Island).

CDC advises that areas may be compared on individual measures but that the estimates should not be used to rank overall health; the county lists below are ordered by point estimate and every row carries its 95% confidence interval.

CDC's definition

A multilevel regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults aged 45–75 years who report having one of the following: a fecal occult blood test (FOBT) within the previous year, a fecal immunochemical test (FIT)-DNA test within the previous 3 years, a sigmoidoscopy within the previous 5 years, a sigmoidoscopy within the previous 10 years with a FIT in the past year, a colonoscopy within the previous 10 years, or a CT colonography (virtual colonoscopy) within the previous 5 years. The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation.

CDC's notes: In May 2021, the U.S. Preventive Services Task Force changed its colorectal cancer screening recommendation. The age at which adults at average risk of getting colorectal cancer were recommended to begin screening was lowered from 50 to 45. The 2020 BRFSS colorectal cancer screening questions changed to list five test types (FIT, sigmoidoscopy, colonoscopy, FIT-DNA, and CT colonography) instead of three test types (FIT, sigmoidoscopy, and colonoscopy). Estimates of people getting colorectal cancer screening since 2021 are not comparable to previous years. Recommendations for colorectal cancer screening are not always consistent among national groups. Survey questions are part of the BRFSS rotating core (even years).

Quoted from CDC's PLACES measure definitions (cdc.gov/places/measure-definitions). BRFSS is the Behavioral Risk Factor Surveillance System, the telephone survey the model is trained on.

National distribution across counties

39.4%59.3%79.1%

Crude county point estimates in the 2025 release, 24 equal bins. Deciles: 10th 57.9%, 25th 61.0%, median 64.2%, 75th 67.0%, 90th 69.5%. Counties without a 2025 estimate (Kentucky, Pennsylvania and the states without the social-needs module) are excluded here.

By state

Crude prevalence is the estimated share of all adults. Age-adjusted prevalence is standardised to the 2000 US standard population so that areas with different age structures can be compared. CDC: "Age-adjusted estimates are only available at the county and place-level."

StateState figure, crude (site aggregate)Lowest countyHighest countyCounties
Rhode Island73.2%70.6%78.4%5
Connecticut72.3%69.9%74.1%9
Maine70.5%67.0%74.0%16
New Hampshire69.5%65.6%73.6%10
District of Columbia69.4%69.4%69.4%1
Wisconsin69.4%64.1%72.8%72
South Carolina69.3%62.1%75.4%46
Vermont69.2%64.6%73.3%14
Michigan69.0%64.5%77.9%83
Minnesota68.7%63.1%73.8%87
Massachusetts68.4%63.8%76.4%14
Maryland68.2%59.7%74.0%24
Pennsylvania67.5%63.4%71.8%67
Virginia67.4%58.2%77.1%133
Delaware67.2%66.0%70.0%3
Alabama67.0%58.2%72.0%67
New York66.8%61.9%73.9%62
Iowa66.6%59.6%72.5%99
West Virginia66.5%58.1%72.6%55
Indiana66.3%60.8%71.3%92
Louisiana66.3%55.9%70.8%64
Washington66.2%55.9%74.0%39
Kentucky65.8%55.6%71.4%120
Florida65.7%56.1%79.1%67
North Carolina65.7%60.2%75.2%100
South Dakota65.5%43.0%71.1%66
Ohio65.2%57.1%69.7%88
North Dakota64.9%47.1%70.8%53
Georgia64.4%54.3%71.2%159
Missouri64.0%53.5%68.4%115
Montana63.8%53.4%68.8%56
Kansas63.5%52.1%71.4%105
New Jersey63.4%55.3%72.2%21
Oregon63.4%56.8%72.5%36
Tennessee63.2%55.2%68.6%95
Utah63.1%55.5%67.4%29
Hawaii62.6%59.6%65.6%5
Colorado62.4%50.0%71.7%64
Nebraska62.3%55.1%68.6%93
Idaho61.8%55.1%67.3%44
Mississippi61.8%55.4%65.7%82
Arkansas61.6%55.6%68.5%75
Arizona60.2%51.3%64.3%15
Illinois60.2%55.8%68.1%102
Oklahoma59.7%51.5%65.5%77
Wyoming59.4%53.7%65.8%23
Alaska59.2%39.4%64.5%30
Nevada58.6%56.1%71.5%17
Texas57.9%42.7%68.7%253
California57.5%49.3%69.2%58
New Mexico57.5%44.6%65.3%33
StateState figure, age-adjusted (site aggregate)Counties
Rhode Island67.9%5
Connecticut66.4%9
District of Columbia66.0%1
Maryland63.6%24
South Carolina63.6%46
Maine63.5%16
Wisconsin63.5%72
Michigan63.4%83
Minnesota63.4%87
Massachusetts63.1%14
New Hampshire63.0%10
Virginia62.7%133
Vermont62.3%14
Alabama61.7%67
New York61.5%62
Pennsylvania61.5%67
Washington61.4%39
Indiana61.1%92
Iowa61.0%99
North Carolina61.0%100
Louisiana60.9%64
Kentucky60.7%120
Utah60.6%29
West Virginia60.6%55
Georgia60.5%159
Delaware59.9%3
Florida59.8%67
Ohio59.6%88
South Dakota59.3%66
North Dakota59.1%53
New Jersey58.8%21
Missouri58.4%115
Tennessee58.3%95
Kansas58.1%105
Colorado58.0%64
Oregon58.0%36
Montana57.3%56
Nebraska57.0%93
Hawaii56.7%5
Idaho56.5%44
Mississippi56.4%82
Arkansas56.3%75
Illinois55.4%102
Oklahoma54.9%77
Texas54.8%253
Arizona54.7%15
Alaska54.2%30
Nevada53.6%17
California53.5%58
Wyoming53.3%23
New Mexico51.5%33

State figures are population-weighted county estimates computed by this site (PLACES publishes no state row) and carry no interval; they are listed by point estimate, which is not a ranking of states' health. Lowest and highest county columns are crude point estimates. * This measure was not published for the state in the 2025 release; its figure, county count and county range come from the release in brackets, the most recent that has them.

Highest county estimates

CountyCrude95% interval
Sumter County, FL79.1%75.5–82.3
Washington County, RI78.4%75.0–81.7
Leelanau County, MI77.9%73.8–81.8
Middlesex County, VA77.1%75.0–79.9
Newport County, RI76.7%72.8–80.4
Barnstable County, MA76.4%72.7–80.0
Kent County, RI76.2%72.6–79.5
Bristol County, RI76.0%72.0–79.6
Northumberland County, VA75.7%71.1–79.7
Georgetown County, SC75.4%71.6–79.3
Brunswick County, NC75.2%70.6–79.2
Goochland County, VA74.6%69.9–79.0
Charleston County, SC74.4%70.8–77.7
Keweenaw County, MI74.3%69.6–78.7
Lower Connecticut River Valley planning region, CT74.1%70.8–77.4
Talbot County, MD74.0%70.0–77.6
Cumberland County, ME74.0%70.8–77.1
Jefferson County, WA74.0%69.7–77.8
Alger County, MI73.9%69.2–78.1
Hamilton County, NY73.9%69.0–78.4
CountyAge-adj.95% interval
Washington County, RI71.1%67.2–75.0
Kent County, RI70.3%66.3–74.1
Newport County, RI70.2%65.9–74.4
Bristol County, RI70.0%65.6–74.0
Charleston County, SC69.0%65.1–72.7
Cumberland County, ME68.5%65.1–71.8
Saratoga County, NY68.3%64.2–72.3
Tompkins County, NY68.0%63.3–72.6
Putnam County, NY67.7%62.9–72.1
Leelanau County, MI67.6%63.0–72.4
Goochland County, VA67.5%62.4–72.4
Lower Connecticut River Valley planning region, CT67.4%64.3–70.5
Fauquier County, VA67.4%62.9–71.8
Falls Church city, VA67.3%62.3–72.0
Jefferson County, AL67.2%63.4–71.1
St. Johns County, FL67.2%62.6–71.6
Scott County, MN67.2%63.0–71.3
Clinton County, MI67.1%61.9–71.5
Delaware County, OH67.1%63.5–70.7
Richland County, SC67.1%63.0–71.0

Lowest county estimates

CountyCrude95% interval
Aleutians East Borough, AK39.4%34.2–44.5
Hudspeth County, TX42.7%37.2–47.9
Oglala Lakota County, SD43.0%38.3–47.6
Dimmit County, TX43.2%37.6–48.7
Todd County, SD43.7%39.1–48.4
Starr County, TX43.9%38.5–49.1
Kusilvak Census Area, AK44.0%38.3–50.0
McKinley County, NM44.6%38.9–49.8
Kenedy County, TX45.2%41.3–49.3
Zapata County, TX45.7%40.2–51.3
Zavala County, TX46.3%40.5–52.2
Webb County, TX46.4%41.0–51.7
La Salle County, TX46.9%44.3–49.4
Sioux County, ND47.1%41.1–52.8
Bethel Census Area, AK47.2%41.9–52.3
Maverick County, TX47.5%41.8–53.1
Jim Hogg County, TX47.6%44.5–50.6
Garza County, TX47.6%42.1–53.0
Ziebach County, SD47.7%42.2–53.2
Aleutians West Census Area, AK48.0%42.9–54.0
CountyAge-adj.95% interval
Dimmit County, TX39.4%34.0–44.7
Kenedy County, TX40.1%36.5–43.9
Kusilvak Census Area, AK40.1%34.6–45.7
McKinley County, NM40.7%35.4–45.8
Oglala Lakota County, SD41.2%36.7–45.6
Todd County, SD41.4%36.9–45.9
Starr County, TX41.9%36.6–47.0
Jim Hogg County, TX42.0%39.0–44.8
Zavala County, TX42.8%37.2–48.6
Zapata County, TX43.1%37.8–48.6
Hudspeth County, TX43.2%37.6–48.4
La Salle County, TX43.6%41.1–46.0
Bethel Census Area, AK43.6%38.5–48.5
Presidio County, TX43.8%38.6–48.9
Aleutians East Borough, AK43.8%38.5–49.0
Union County, NM44.6%39.3–50.3
Brooks County, TX44.9%42.3–47.6
Cochran County, TX45.1%39.6–50.4
Apache County, AZ45.1%40.7–49.3
Maverick County, TX45.2%39.6–50.7

Twenty counties at each end by point estimate. Small counties have wide intervals; many of these intervals overlap one another, so the order within each list is not a meaningful ranking. CDC: "the data should not be used for ranking the overall health of any county, place, census tract, or ZCTA."

National estimate by release

ReleaseCrudeAge-adjustedBRFSS year
2022 release72.4% 71.8–72.970.6%2020
2023 release72.4% 71.8–72.970.6%2020
2024 release66.3% 65.9–66.854.1%2022
2025 release66.3% 65.9–66.854.1%2022

CDC's US row from each release's county file, for reference. Survey questions and modelling details change between releases; see the release pages.

Questions and answers

How does PLACES define "colorectal cancer screening among adults aged 45–75 years"?

A multilevel regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults aged 45–75 years who report having one of the following: a fecal occult blood test (FOBT) within the previous year, a fecal immunochemical test (FIT)-DNA test within the previous 3 years, a sigmoidoscopy within the previous 5 years, a sigmoidoscopy within the previous 10 years with a FIT in the past year, a colonoscopy within the previous 10 years, or a CT colonography (virtual colonoscopy) within the previous 5 years. The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Population: Adults aged 45–75 years. Time period of case definition: Previous year for FOBT alone, previous 3 years for FIT-DNA test alone, previous 5 years for sigmoidoscopy alone, 10 years for a sigmoidoscopy combined with a FIT in the past year, 10 years for a colonoscopy alone, and every 5 years for CT colonography (virtual colonoscopy) alone..

What is the national estimate for colorectal Cancer Screening?

66.3% (95% confidence interval 65.9–66.8%) crude and 54.1% age-adjusted in the 2025 release.

Which counties have the highest and lowest estimates?

The highest county point estimate is 79.1% (Sumter County, FL) and the lowest 39.4% (Aleutians East Borough, AK). Because the intervals for neighbouring positions usually overlap, the lists are a reference for point estimates, not a ranking.

Is a higher figure better or worse?

This site does not grade measures. CDC groups them as health outcomes, prevention, health risk behaviors, disability, health status and health-related social needs; for prevention measures such as checkups and screening a higher share reports the service, for the others a higher share reports the condition or circumstance.

Where does this data come from?

CDC PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025); the definition text is CDC's own from its measure definitions pages.

Provenance

Source: Centers for Disease Control and Prevention, PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025), with the 2022, 2023, 2024 releases for reference; US government work, public domain. Dataset on data.cdc.gov. Boundaries and ZIP-to-county relationships: US Census Bureau. Percentages are shown to one decimal as CDC publishes them; state figures are population-weighted means computed by this site. Definition text is CDC's own, from the PLACES measure definitions pages (public domain), with its burden narrative and references omitted. Processing errors are corrected at the next daily build; see corrections. Generated 30 Sep 2026.