All teeth lost among adults aged ≥65 years

US estimate 12.2% (95% interval 11.8–12.6), age-adjusted 12.6% (12.2–13.0). Published in the 2022, 2023, 2024, 2025 releases.

Population: Adults aged 65 years and older
Case definition period: Current
Prevalence (crude and age-adjusted)

15.1%median county, 2025middle half 11.6%–19.4%

3,143counties with a 2025 estimaterange 3.8%–44.4%

All teeth lost among adults aged ≥65 years: CDC's PLACES 2025 release estimates 12.2% nationally (95% confidence interval 11.8–12.6%), or 12.6% age-adjusted, from 2022 BRFSS responses.

Across the 3,143 counties with a 2025 estimate, the median county is 15.1% and the middle half of counties fall between 11.6% and 19.4%; the full range runs from 3.8% to 44.4%. Population-weighted state figures computed by this site (no interval) range from 7.3% (District of Columbia) to 19.5% (West Virginia).

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 multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults aged 65 years and older who report having lost all of their natural teeth due to tooth decay or gum disease. 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: Questions are part of the rotating core, currently collected in 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

3.8%24.1%44.4%

Crude county point estimates in the 2025 release, 24 equal bins. Deciles: 10th 9.2%, 25th 11.6%, median 15.1%, 75th 19.4%, 90th 23.7%. 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."

State	State figure, crude (site aggregate)	Lowest county	Highest county	Counties
West Virginia	19.5%	11.1%	35.3%	55
Kentucky	18.9%	7.1%	40.2%	120
Arkansas	18.6%	12.1%	35.4%	75
Mississippi	18.5%	8.1%	37.3%	82
Louisiana	18.1%	10.3%	42.0%	64
Oklahoma	16.4%	9.6%	28.3%	77
Idaho	16.2%	7.1%	23.5%	44
Missouri	15.8%	9.3%	32.8%	115
Alabama	15.4%	10.4%	35.3%	67
Indiana	15.4%	5.1%	24.4%	92
Ohio	15.3%	7.6%	30.9%	88
Maine	14.8%	7.6%	24.0%	16
Arizona	14.7%	9.7%	28.1%	15
Tennessee	14.6%	3.8%	33.4%	95
Georgia	14.5%	4.3%	35.7%	159
Pennsylvania	14.5%	7.0%	24.1%	67
New Mexico	14.2%	4.3%	27.1%	33
Rhode Island	14.2%	4.8%	17.2%	5
North Carolina	13.9%	7.1%	32.4%	100
South Carolina	13.9%	7.7%	31.6%	46
Alaska	13.5%	8.6%	37.2%	30
New York	12.8%	6.3%	22.7%	62
Wyoming	12.8%	5.1%	18.7%	23
Delaware	12.7%	12.4%	13.0%	3
Florida	12.7%	7.1%	25.9%	67
South Dakota	12.7%	5.6%	44.4%	66
Oregon	12.5%	7.8%	27.1%	36
Texas	12.5%	6.9%	35.2%	253
Nebraska	12.4%	4.2%	19.3%	93
Montana	12.3%	6.9%	28.3%	56
Massachusetts	11.9%	5.6%	15.1%	14
Iowa	11.6%	5.7%	21.6%	99
Nevada	11.6%	9.1%	22.1%	17
Kansas	11.3%	6.7%	23.5%	105
Virginia	11.1%	4.0%	27.2%	133
North Dakota	10.8%	6.6%	28.5%	53
California	10.6%	4.4%	21.5%	58
Illinois	10.3%	5.4%	24.4%	102
Michigan	10.2%	4.5%	20.6%	83
Vermont	10.1%	6.4%	19.0%	14
Maryland	9.9%	4.4%	19.3%	24
Wisconsin	9.9%	4.5%	18.5%	72
Connecticut	9.8%	7.7%	12.4%	9
Utah	9.8%	6.6%	20.8%	29
New Jersey	9.6%	5.3%	15.8%	21
Colorado	9.2%	4.6%	24.6%	64
Washington	9.0%	4.6%	17.2%	39
Minnesota	8.9%	5.1%	22.8%	87
New Hampshire	8.9%	7.4%	13.5%	10
Hawaii	8.5%	7.8%	11.5%	5
District of Columbia	7.3%	7.3%	7.3%	1

State	State figure, age-adjusted (site aggregate)	Counties
West Virginia	20.1%	55
Kentucky	19.4%	120
Arkansas	18.9%	75
Mississippi	18.9%	82
Louisiana	18.4%	64
Oklahoma	16.8%	77
Idaho	16.6%	44
Missouri	16.0%	115
Alabama	15.7%	67
Indiana	15.6%	92
Ohio	15.6%	88
Maine	15.2%	16
Georgia	14.9%	159
Alaska	14.8%	30
Arizona	14.8%	15
Pennsylvania	14.8%	67
Tennessee	14.8%	95
Rhode Island	14.4%	5
New Mexico	14.3%	33
South Carolina	14.2%	46
North Carolina	14.1%	100
Delaware	13.5%	3
Wyoming	13.1%	23
New York	13.0%	62
Oregon	12.9%	36
South Dakota	12.9%	66
Florida	12.8%	67
Texas	12.8%	253
Nebraska	12.7%	93
Montana	12.5%	56
Massachusetts	12.0%	14
Iowa	11.8%	99
Nevada	11.8%	17
Kansas	11.5%	105
Virginia	11.4%	133
North Dakota	11.2%	53
California	10.8%	58
Illinois	10.6%	102
Michigan	10.5%	83
Vermont	10.4%	14
Utah	10.3%	29
Maryland	10.1%	24
Wisconsin	10.1%	72
Connecticut	10.0%	9
New Jersey	9.8%	21
Colorado	9.5%	64
New Hampshire	9.4%	10
Washington	9.2%	39
Minnesota	9.1%	87
Hawaii	8.5%	5
District of Columbia	7.3%	1

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

County	Crude	95% interval
Oglala Lakota County, SD	44.4%	38.9–50.0
Mellette County, SD	42.4%	37.0–48.0
East Carroll Parish, LA	42.0%	36.7–47.5
Wolfe County, KY	40.2%	35.0–45.4
Todd County, SD	40.2%	35.2–45.5
Estill County, KY	38.6%	32.7–44.7
Holmes County, MS	37.3%	32.3–42.4
Kusilvak Census Area, AK	37.2%	32.0–42.6
Montgomery County, MS	36.7%	31.7–42.1
Lee County, KY	36.4%	31.0–42.0
Macon County, GA	35.7%	30.7–41.1
Knox County, KY	35.6%	30.2–40.9
Magoffin County, KY	35.5%	30.2–41.1
Lafayette County, AR	35.4%	30.0–41.1
Bullock County, AL	35.3%	30.1–41.1
McDowell County, WV	35.3%	30.4–40.3
Kenedy County, TX	35.2%	31.2–39.1
Phillips County, AR	34.3%	29.6–39.2
Randolph County, GA	34.1%	29.3–39.2
Chicot County, AR	33.7%	28.8–38.5

County	Age-adj.	95% interval
Kusilvak Census Area, AK	44.6%	39.2–50.2
Todd County, SD	44.5%	39.5–49.7
Oglala Lakota County, SD	43.8%	38.3–49.2
East Carroll Parish, LA	43.5%	38.1–49.0
Mellette County, SD	42.8%	37.4–48.5
Wolfe County, KY	41.1%	35.9–46.3
Holmes County, MS	39.0%	33.9–44.2
Estill County, KY	38.4%	32.4–44.3
Lee County, KY	37.6%	32.2–43.1
Macon County, GA	37.2%	32.0–42.7
Montgomery County, MS	37.2%	32.1–42.6
Magoffin County, KY	36.5%	31.0–42.0
Knox County, KY	36.1%	30.7–41.4
Lafayette County, AR	35.8%	30.4–41.6
Cumberland County, KY	35.2%	30.2–40.7
Bullock County, AL	35.1%	29.9–40.9
Phillips County, AR	35.1%	30.3–40.0
Kenedy County, TX	34.9%	31.1–38.7
Clay County, KY	34.6%	30.0–39.6
Lanier County, GA	34.4%	29.5–39.7

Lowest county estimates

County	Crude	95% interval
Williamson County, TN	3.8%	3.0–4.7
Falls Church city, VA	4.0%	3.2–5.0
Logan County, NE	4.2%	3.3–5.2
Los Alamos County, NM	4.3%	3.3–5.4
Forsyth County, GA	4.3%	3.4–5.4
Montgomery County, MD	4.4%	3.5–5.4
San Francisco County, CA	4.4%	3.4–5.5
Dane County, WI	4.5%	3.6–5.6
Ottawa County, MI	4.5%	3.6–5.7
King County, WA	4.6%	3.9–5.4
Jefferson County, CO	4.6%	3.6–5.7
Newport County, RI	4.8%	3.8–6.0
Arlington County, VA	5.0%	3.9–6.1
Teton County, WY	5.1%	4.1–6.3
Poquoson city, VA	5.1%	4.0–6.2
Steele County, MN	5.1%	4.0–6.3
Harford County, MD	5.1%	4.1–6.2
Hamilton County, IN	5.1%	4.1–6.2
Hunterdon County, NJ	5.3%	4.2–6.6
Park County, CO	5.3%	4.2–6.7

County	Age-adj.	95% interval
Williamson County, TN	3.8%	3.0–4.7
Falls Church city, VA	4.0%	3.2–5.1
Forsyth County, GA	4.3%	3.4–5.4
Dane County, WI	4.4%	3.5–5.5
Los Alamos County, NM	4.4%	3.4–5.4
San Francisco County, CA	4.4%	3.5–5.5
King County, WA	4.5%	3.8–5.3
Montgomery County, MD	4.5%	3.6–5.5
Logan County, NE	4.7%	3.7–5.9
Ottawa County, MI	4.7%	3.7–5.9
Newport County, RI	4.9%	3.9–6.0
Arlington County, VA	5.0%	3.9–6.1
Steele County, MN	5.0%	4.0–6.3
Jefferson County, CO	5.0%	3.9–6.1
Marathon County, WI	5.1%	4.1–6.3
Harford County, MD	5.1%	4.1–6.2
Hamilton County, IN	5.1%	4.1–6.2
Teton County, WY	5.2%	4.2–6.5
Poquoson city, VA	5.2%	4.1–6.4
Piatt County, IL	5.3%	4.1–6.7

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

Release	Crude	Age-adjusted	BRFSS year
2022 release	13.4% 12.9–13.9	13.9%	2020
2023 release	13.4% 12.9–13.9	13.9%	2020
2024 release	12.2% 11.8–12.6	12.6%	2022
2025 release	12.2% 11.8–12.6	12.6%	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 "all teeth lost among adults aged ≥65 years"?

A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults aged 65 years and older who report having lost all of their natural teeth due to tooth decay or gum disease. 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 65 years and older. Time period of case definition: Current.

What is the national estimate for all Teeth Lost?

12.2% (95% confidence interval 11.8–12.6%) crude and 12.6% age-adjusted in the 2025 release.

Which counties have the highest and lowest estimates?

The highest county point estimate is 44.4% (Oglala Lakota County, SD) and the lowest 3.8% (Williamson County, TN). 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.