States › Oklahoma
State
Oklahoma
77 counties or equivalents, 755 places and 643 ZIP Codes with PLACES estimates; 4,053,824 residents.
- Counties
- Largest places
- State figures are site aggregates: population-weighted county estimates, no interval
Oklahoma has 77 counties or equivalents, 755 places and 643 ZIP Code Tabulation Areas with PLACES estimates, covering 4,053,824 residents (3,087,217 adults).
PLACES does not publish state totals. The state figures here are population-weighted county estimates computed by this site, following CDC's published method for aggregating areas, and carry no interval. For the 2025 release that gives obesity at 38.9% (site aggregate) (age-adjusted 39.3%), above the national interval around 32.8%; county estimates range from 33.9% to 47.1%.
Diagnosed diabetes is 12.8% (site aggregate) by the same method (national 12.0%) and 11.3% (site aggregate) of adults aged 18–64 are estimated to lack health insurance (national 11.0%).
Report card: 40 measures by CDC category
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."
estimate with 95% intervalUS estimate
Health outcomes (12)vs the US interval: 10 above · 0 below · 2 within
Prevention (7)vs the US interval: 0 above · 5 below · 2 within
Health risk behaviors (4)vs the US interval: 3 above · 1 below · 0 within
Disability (7)vs the US interval: 7 above · 0 below · 0 within
Health status (3)vs the US interval: 3 above · 0 below · 0 within
Health-related social needs (7)vs the US interval: 7 above · 0 below · 0 within
State figures are population-weighted county estimates computed by this site and carry no interval, so the dot is a point and the US flag says whether the state figure falls above, below or within CDC's national 95% interval. Each measure links to its national and state tables.
Counties in Oklahoma
Ordered by point estimate; intervals overlap for most neighbouring rows, so the order is not a ranking. The flag says whether each row's interval lies above, below or in line with the Oklahoma figure, which is a population-weighted county estimate computed by this site and carries no interval.
| Counties | Population | Estimate | 95% interval | vs the Oklahoma figure |
|---|---|---|---|---|
| Sequoyah County | 40,291 | 47.1% | 39.6–55.0 | above |
| Osage County | 46,130 | 46.4% | 39.1–54.0 | above |
| Adair County | 19,627 | 46.2% | 37.9–54.0 | in line |
| Okfuskee County | 11,300 | 45.8% | 37.2–54.6 | in line |
| Choctaw County | 14,276 | 45.4% | 36.7–54.1 | in line |
| Okmulgee County | 37,035 | 45.0% | 37.3–52.8 | in line |
| Seminole County | 23,565 | 45.0% | 37.1–53.0 | in line |
| McIntosh County | 19,603 | 44.8% | 36.6–53.0 | in line |
| Lincoln County | 34,562 | 44.1% | 36.9–51.8 | in line |
| Texas County | 20,371 | 44.1% | 36.9–51.5 | in line |
| Tillman County | 6,869 | 44.0% | 35.4–52.9 | in line |
| Cotton County | 5,427 | 43.1% | 34.5–52.4 | in line |
| Comanche County | 121,574 | 43.0% | 37.1–49.1 | in line |
| Cherokee County | 48,185 | 42.9% | 35.5–50.5 | in line |
| Kiowa County | 8,398 | 42.7% | 34.5–50.6 | in line |
| Coal County | 5,266 | 42.6% | 34.2–51.4 | in line |
| Kay County | 43,641 | 42.6% | 35.0–50.5 | in line |
| McCurtain County | 30,660 | 42.6% | 34.5–51.2 | in line |
| Harmon County | 2,392 | 42.4% | 34.7–50.5 | in line |
| Washington County | 53,706 | 42.4% | 35.1–49.6 | in line |
| Latimer County | 9,526 | 42.3% | 34.2–50.8 | in line |
| Haskell County | 11,832 | 42.2% | 33.8–51.0 | in line |
| Greer County | 5,466 | 42.1% | 33.6–51.0 | in line |
| Hughes County | 13,436 | 41.9% | 33.6–50.5 | in line |
| Major County | 7,581 | 41.9% | 33.6–50.9 | in line |
| Craig County | 14,494 | 41.8% | 33.4–50.6 | in line |
| Mayes County | 39,889 | 41.8% | 34.4–49.2 | in line |
| Garfield County | 62,023 | 41.7% | 35.3–48.0 | in line |
| Ottawa County | 30,287 | 41.7% | 33.3–50.1 | in line |
| Noble County | 10,832 | 41.6% | 33.5–50.3 | in line |
| Muskogee County | 66,677 | 41.5% | 34.4–48.8 | in line |
| Woodward County | 19,947 | 41.5% | 33.9–49.6 | in line |
| Murray County | 13,754 | 41.4% | 33.2–49.5 | in line |
| Jefferson County | 5,347 | 41.2% | 32.7–50.5 | in line |
| Pottawatomie County | 73,791 | 41.2% | 34.9–48.1 | in line |
| Custer County | 28,266 | 41.0% | 34.2–48.8 | in line |
| Alfalfa County | 5,673 | 40.6% | 31.8–49.6 | in line |
| Nowata County | 9,438 | 40.5% | 32.4–49.2 | in line |
| Jackson County | 24,669 | 40.4% | 32.6–48.5 | in line |
| Atoka County | 14,525 | 40.3% | 32.3–49.0 | in line |
| Le Flore County | 49,596 | 40.3% | 33.2–47.9 | in line |
| Roger Mills County | 3,295 | 40.3% | 31.6–49.0 | in line |
| Caddo County | 26,214 | 40.2% | 32.8–47.5 | in line |
| Logan County | 53,029 | 40.2% | 33.7–46.9 | in line |
| Pittsburg County | 43,479 | 40.1% | 33.0–47.4 | in line |
| Rogers County | 100,248 | 40.1% | 33.8–46.8 | in line |
| Beckham County | 22,042 | 40.0% | 32.2–47.9 | in line |
| Bryan County | 48,967 | 40.0% | 32.9–47.1 | in line |
| Pontotoc County | 38,396 | 39.9% | 32.5–47.7 | in line |
| Creek County | 73,332 | 39.8% | 33.1–46.7 | in line |
| Carter County | 48,596 | 39.7% | 32.9–47.1 | in line |
| Pawnee County | 15,864 | 39.7% | 31.6–47.8 | in line |
| Ellis County | 3,648 | 39.6% | 31.3–48.4 | in line |
| Washita County | 10,736 | 39.5% | 31.6–47.7 | in line |
| Harper County | 3,190 | 39.4% | 30.5–48.2 | in line |
| Johnston County | 10,216 | 39.4% | 31.1–48.0 | in line |
| Marshall County | 15,970 | 39.4% | 30.9–48.1 | in line |
| Pushmataha County | 10,800 | 39.1% | 30.9–47.0 | in line |
| Stephens County | 44,014 | 39.1% | 32.4–46.4 | in line |
| Canadian County | 175,829 | 39.0% | 33.7–44.0 | in line |
| Love County | 10,296 | 38.8% | 31.0–47.0 | in line |
| Garvin County | 25,865 | 38.6% | 31.3–46.3 | in line |
| McClain County | 47,072 | 38.5% | 31.6–45.6 | in line |
| Beaver County | 5,018 | 38.4% | 30.2–47.0 | in line |
| Grady County | 57,375 | 38.4% | 31.7–45.1 | in line |
| Blaine County | 8,539 | 38.3% | 30.4–46.3 | in line |
| Dewey County | 4,286 | 38.2% | 29.8–46.8 | in line |
| Delaware County | 41,703 | 37.8% | 31.0–45.4 | in line |
| Oklahoma County | 808,866 | 37.7% | 33.9–41.4 | in line |
| Cimarron County | 2,191 | 37.6% | 29.1–46.5 | in line |
| Kingfisher County | 15,481 | 37.1% | 29.4–45.0 | in line |
| Woods County | 8,564 | 36.6% | 29.2–45.3 | in line |
| Cleveland County | 301,193 | 36.3% | 31.5–41.1 | in line |
| Grant County | 4,083 | 36.3% | 28.0–44.9 | in line |
| Wagoner County | 89,280 | 36.1% | 29.5–42.6 | in line |
| Tulsa County | 682,868 | 35.7% | 31.9–39.6 | in line |
| Payne County | 83,352 | 33.9% | 27.7–40.5 | in line |
Largest places in Oklahoma
- Oklahoma City 681,054
- Tulsa 413,066
- Norman 128,026
- Broken Arrow 113,540
- Edmond 94,428
- Lawton 90,381
- Moore 62,793
- Midwest City 58,409
- Enid 51,308
- Stillwater 48,394
- Owasso 38,240
- Bartlesville 37,290
- Muskogee 36,878
- Shawnee 31,377
- Bixby 28,609
- Jenks 25,949
- Ardmore 24,725
- Ponca City 24,424
- Yukon 23,630
- Duncan 22,692
- Sapulpa 21,929
- Del City 21,822
- Bethany 20,831
- Mustang 19,879
- Sand Springs 19,874
The 25 most populous places; every county page lists all of its places and ZIP Codes.
Measures
State figures are population-weighted county estimates computed by this site and carry no interval; the word says whether each falls above, below or within CDC's national interval.
Health outcomes
- All Teeth Lost 16.4% (site aggregate) · US 12.2% · above US interval
- Arthritis 27.8% (site aggregate) · US 25.4% · above US interval
- Cancer (non-skin) or Melanoma 7.8% (site aggregate) · US 7.9% · within US interval
- COPD 8.0% (site aggregate) · US 6.2% · above US interval
- Coronary Heart Disease 7.3% (site aggregate) · US 6.4% · above US interval
- Current Asthma 11.5% (site aggregate) · US 9.8% · above US interval
- Depression 25.5% (site aggregate) · US 20.2% · above US interval
- Diabetes 12.8% (site aggregate) · US 12.0% · above US interval
- High Blood Pressure 38.5% (site aggregate) · US 34.4% · above US interval
- High Cholesterol 37.7% (site aggregate) · US 37.4% · within US interval
- Obesity 38.9% (site aggregate) · US 32.8% · above US interval
- Stroke 3.7% (site aggregate) · US 3.4% · above US interval
Prevention
- Cholesterol Screening 84.3% (site aggregate) · US 87.5% · below US interval
- Colorectal Cancer Screening 59.7% (site aggregate) · US 66.3% · below US interval
- Health Insurance 11.3% (site aggregate) · US 11.0% · within US interval
- Mammography 70.4% (site aggregate) · US 76.5% · below US interval
- High Blood Pressure Medication 76.3% (site aggregate) · US 77.0% · below US interval
- Dental Visit 57.1% (site aggregate) · US 63.9% · below US interval
- Annual Checkup 77.9% (site aggregate) · US 77.7% · within US interval
Health risk behaviors
- Binge Drinking 14.0% (site aggregate) · US 15.2% · below US interval
- Current Cigarette Smoking 16.3% (site aggregate) · US 11.4% · above US interval
- Physical Inactivity 31.1% (site aggregate) · US 24.5% · above US interval
- Short Sleep Duration 36.8% (site aggregate) · US 36.0% · above US interval
Disability
- Any Disability 38.9% (site aggregate) · US 30.0% · above US interval
- Cognitive Disability 17.3% (site aggregate) · US 13.7% · above US interval
- Hearing Disability 9.1% (site aggregate) · US 6.7% · above US interval
- Independent Living Disability 9.6% (site aggregate) · US 7.9% · above US interval
- Mobility Disability 17.1% (site aggregate) · US 13.5% · above US interval
- Self-care Disability 4.3% (site aggregate) · US 3.8% · above US interval
- Vision Disability 6.0% (site aggregate) · US 5.5% · above US interval
Health status
- General Health 21.2% (site aggregate) · US 19.2% · above US interval
- Frequent Mental Distress 18.0% (site aggregate) · US 15.6% · above US interval
- Frequent Physical Distress 14.3% (site aggregate) · US 12.8% · above US interval
Health-related social needs
- Food Insecurity 18.5% (site aggregate) · US 14.7% · above US interval
- Housing Insecurity 14.1% (site aggregate) · US 11.7% · above US interval
- Transportation Barriers 9.6% (site aggregate) · US 7.7% · above US interval
- Lack of Social/Emotional Support 25.2% (site aggregate) · US 23.3% · above US interval
- Loneliness 33.1% (site aggregate) · US 32.0% · above US interval
- Food Stamps 15.1% (site aggregate) · US 11.2% · above US interval
- Utility Services Threat 10.3% (site aggregate) · US 7.4% · above US interval
Questions and answers
How is the Oklahoma figure calculated?
PLACES publishes county, place, tract and ZCTA estimates but no state row. Following CDC's guidance for aggregating areas, this site multiplies each county's estimate by its adult population, sums across the state's 77 counties and divides by the total adult population. The result has no published confidence interval, so county pages describe their position against it as above, below or in line with the state figure.
Which Oklahoma counties have the highest obesity estimates?
The county table on this page can be sorted by any of the 40 measures. Estimates are listed with their 95% confidence intervals; adjacent counties often have overlapping intervals and cannot be told apart, so the order is by point estimate only and is not a ranking of health.
What is the difference between crude and age-adjusted figures?
Crude prevalence is the estimated share of all adults. Age-adjusted prevalence re-weights the estimate to the 2000 US standard population so areas with different age structures can be compared; CDC publishes age-adjusted figures for counties and places only. The toggle on this page switches between them.
Where does this data come from?
CDC PLACES: Local Data for Better Health, 2025 release, data updated 4 Dec 2025; the state figure for obesity is 38.9% (site aggregate) in the 2025 release.
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. 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. The Oklahoma figure for each measure is the sum over counties of estimate × adult population, divided by the state's adult population, per CDC's guidance for aggregating areas; measures defined on a subgroup (women 50–74, adults 18–64, adults 65 and over) are weighted by total adult population as an approximation. Processing errors are corrected at the next daily build; see corrections. Generated 30 Sep 2026.