County · Florida
Lee County, FL
834,573 residents, 692,259 adults (Census population estimates used by PLACES). 34 ZIP Codes and 39 places with estimates.
CDC's PLACES project publishes model-based estimates of 40 health measures for Lee County, in Florida: 834,573 residents in the Census population estimates used by PLACES, 692,259 of them adults.
In the 2025 release it estimates that 30.4% of adults have obesity (95% confidence interval 25.2–35.6%), in line with the Florida figure of 31.9% (site aggregate), similar to the national estimate of 32.8%. Where intervals overlap the figures are described as similar, because the model cannot separate them.
Diagnosed diabetes: 14.5% of adults (95% confidence interval 12.6–16.6%) in the 2025 release, in line with the Florida figure of 13.5% (site aggregate), higher than the national estimate of 12.0%.
Across the 39 measures with a published estimate, the county's interval lies entirely above the Florida figure for 5, entirely below it for 3 and includes it for 31. State figures are population-weighted county estimates computed by this site and carry no interval.
6 measures were not published for this area in the 2025 release; for those the most recent published release is shown and labelled.
1 measure has no published estimate for this area in any release kept here.
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% intervalFL figureUS estimate
Health outcomes (12)vs FL figure: 3 above · 0 below · 9 in line
Prevention (7)vs FL figure: 1 above · 0 below · 6 in line
Health risk behaviors (4)vs FL figure: 0 above · 0 below · 4 in line
Disability (7)vs FL figure: 1 above · 0 below · 6 in line
Health status (3)vs FL figure: 0 above · 0 below · 3 in line
Health-related social needs (7)vs FL figure: 0 above · 3 below · 3 in line · 1 n/a
Flags: St. = Florida figure (site aggregate: a population-weighted county estimate computed by this site, no interval: above, below or in line), US = national estimate with CDC's interval. ↑ interval entirely above, ↓ entirely below, ≈ overlapping or containing the reference. Release column in colour: not published for this county in the 2025 release, most recent published release shown.
Compared with state and nation
| Measure (crude) | Lee County | Florida (site aggregate) | United States |
|---|---|---|---|
| Obesity | 30.4% 25.2–35.6 | 31.9% in line | 32.8% 32.4–33.1 · similar |
| Diabetes | 14.5% 12.6–16.6 | 13.5% in line | 12.0% 11.8–12.2 · higher |
| High Blood Pressure | 39.6% 35.7–43.1 | 36.6% in line | 34.4% 34.0–34.7 · higher |
| Current Asthma | 9.2% 8.1–10.3 | 9.4% in line | 9.8% 9.6–10.0 · similar |
| COPD | 8.2% 6.7–10.0 | 7.2% in line | 6.2% 6.1–6.3 · higher |
| Coronary Heart Disease | 8.9% 7.7–10.2 | 7.5% above | 6.4% 6.2–6.5 · higher |
| Depression | 16.9% 14.4–19.6 | 17.1% in line | 20.2% 19.9–20.5 · lower |
| Current Cigarette Smoking | 11.9% 9.6–14.5 | 12.4% in line | 11.4% 11.2–11.6 · similar |
| Binge Drinking | 13.8% 11.4–16.3 | 14.6% in line | 15.2% 15.0–15.5 · similar |
| Physical Inactivity | 26.6% 22.1–31.0 | 26.3% in line | 24.5% 24.2–24.8 · similar |
| Health Insurance | 15.7% 12.8–19.0 | 15.9% in line | 11.0% 10.7–11.3 · higher |
| General Health | 19.7% 16.6–23.3 | 20.3% in line | 19.2% 18.9–19.5 · similar |
| Measure (age-adjusted) | Lee County | Florida (site aggregate) | United States |
|---|---|---|---|
| Obesity | 31.2% 25.9–36.4 | 32.2% in line | 32.9% 32.5–33.2 · similar |
| Diabetes | 10.8% 9.2–12.3 | 11.1% in line | 10.3% 10.1–10.5 · similar |
| High Blood Pressure | 30.8% 27.4–34.0 | 31.4% in line | 30.7% 30.4–31.0 · similar |
| Current Asthma | 9.4% 8.2–10.6 | 9.5% in line | 9.8% 9.6–10.0 · similar |
| COPD | 5.9% 4.9–7.0 | 5.8% in line | 5.3% 5.2–5.4 · similar |
| Coronary Heart Disease | 5.6% 4.9–6.4 | 5.6% in line | 5.3% 5.2–5.4 · similar |
| Depression | 18.4% 15.6–21.3 | 18.0% in line | 20.7% 20.4–21.0 · similar |
| Current Cigarette Smoking | 12.6% 10.3–15.0 | 12.8% in line | 11.6% 11.4–11.9 · similar |
| Binge Drinking | 17.4% 14.4–20.4 | 16.7% in line | 16.6% 16.3–16.9 · similar |
| Physical Inactivity | 24.4% 20.4–28.2 | 24.9% in line | 23.7% 23.4–24.0 · similar |
| Health Insurance | 16.9% 13.8–20.5 | 16.5% in line | 11.5% 11.2–11.9 · higher |
| General Health | 17.9% 15.2–20.8 | 19.1% in line | 18.3% 18.0–18.6 · similar |
Twelve headline measures; the toggle switches crude and age-adjusted. State figures are population-weighted county estimates computed by this site and carry no interval. Age-adjusted figures let counties with different age structures be compared.
ZIP Codes in Lee County
Ordered by point estimate; intervals overlap for most neighbouring rows, so the order is not a ranking. The flag compares each row's interval with Lee County by the confidence-interval rule.
| ZIP Codes | Population | Estimate | 95% interval | vs Lee County |
|---|---|---|---|---|
| ZIP 33973 | 12,728 | 39.9% | 34.8–45.4 | similar |
| ZIP 33916 | 25,940 | 37.6% | 32.6–42.9 | similar |
| ZIP 33976 | 17,017 | 36.9% | 31.8–42.3 | similar |
| ZIP 33974 | 17,233 | 36.1% | 31.2–41.5 | similar |
| ZIP 33971 | 26,333 | 34.6% | 29.7–39.8 | similar |
| ZIP 33901 | 22,629 | 34.4% | 29.6–39.6 | similar |
| ZIP 33972 | 14,727 | 34.4% | 29.6–39.7 | similar |
| ZIP 33924 | 403 | 33.5% | 28.6–39.0 | similar |
| ZIP 33905 | 37,692 | 32.7% | 28.0–37.9 | similar |
| ZIP 33907 | 24,980 | 32.7% | 28.0–37.8 | similar |
| ZIP 33965 | 3,659 | 32.5% | 27.2–38.1 | similar |
| ZIP 33993 | 29,848 | 31.9% | 27.2–37.1 | similar |
| ZIP 33922 | 4,326 | 31.8% | 27.0–36.9 | similar |
| ZIP 33909 | 33,063 | 31.5% | 26.8–36.7 | similar |
| ZIP 33917 | 30,702 | 31.3% | 26.8–36.3 | similar |
| ZIP 33991 | 26,381 | 31.3% | 26.6–36.4 | similar |
| ZIP 33990 | 32,717 | 31.1% | 26.5–36.1 | similar |
| ZIP 33903 | 23,294 | 30.5% | 25.8–35.5 | similar |
| ZIP 33920 | 6,797 | 30.3% | 25.7–35.4 | similar |
| ZIP 33904 | 32,029 | 29.4% | 24.9–34.3 | similar |
| ZIP 33914 | 42,222 | 29.4% | 24.9–34.5 | similar |
| ZIP 33967 | 28,174 | 28.8% | 24.5–33.7 | similar |
| ZIP 33956 | 3,861 | 28.1% | 23.7–33.2 | similar |
| ZIP 34135 | 45,518 | 27.9% | 23.5–32.7 | similar |
| ZIP 33921 | 1,283 | 27.8% | 24.1–32.0 | similar |
| ZIP 33931 | 9,389 | 27.7% | 23.4–32.5 | similar |
| ZIP 33919 | 30,587 | 27.1% | 22.9–31.8 | similar |
| ZIP 33966 | 11,245 | 26.9% | 22.7–31.6 | similar |
| ZIP 33913 | 28,216 | 26.7% | 22.6–31.5 | similar |
| ZIP 33908 | 43,110 | 26.4% | 22.2–31.1 | similar |
| ZIP 33928 | 28,955 | 26.4% | 22.2–31.1 | similar |
| ZIP 33912 | 19,146 | 25.9% | 21.6–30.5 | similar |
| ZIP 33957 | 6,382 | 24.6% | 20.6–29.2 | similar |
| ZIP 34134 | 15,906 | 24.4% | 20.7–28.4 | similar |
ZIP Codes are assigned to the county holding the largest share of their land area; ZIPs that straddle counties appear once.
Cities and places in Lee County
Ordered by point estimate; intervals overlap for most neighbouring rows, so the order is not a ranking. The flag compares each row's interval with Lee County by the confidence-interval rule.
| Places | Population | Estimate | 95% interval | vs Lee County |
|---|---|---|---|---|
| Pine Manor | 4,122 | 39.3% | 34.2–45.1 | similar |
| Palmona Park | 1,240 | 39.3% | 34.1–45.0 | similar |
| Suncoast Estates | 4,097 | 38.0% | 32.9–43.7 | similar |
| Tice | 4,853 | 37.1% | 31.9–42.6 | similar |
| Charleston Park | 235 | 36.0% | 31.1–41.4 | similar |
| Lehigh Acres | 114,287 | 35.7% | 30.8–41.0 | similar |
| Page Park | 747 | 34.6% | 29.8–40.0 | similar |
| Captiva | 318 | 33.7% | 28.8–39.3 | similar |
| Fort Myers | 86,395 | 33.0% | 28.4–38.1 | similar |
| Fort Myers Shores | 5,774 | 32.8% | 28.0–38.0 | similar |
| Olga | 2,270 | 32.6% | 27.7–37.8 | similar |
| Florida Gulf Coast University | 3,659 | 32.5% | 27.2–38.1 | similar |
| Pineland | 466 | 32.5% | 27.5–37.9 | similar |
| Bokeelia | 1,855 | 32.3% | 27.6–37.5 | similar |
| Harlem Heights | 1,930 | 31.8% | 27.0–37.1 | similar |
| Pine Island Center | 1,942 | 31.1% | 26.2–36.4 | similar |
| Villas | 12,687 | 30.9% | 26.3–35.9 | similar |
| Matlacha | 598 | 30.7% | 26.0–36.0 | similar |
| Cape Coral | 194,016 | 30.6% | 26.0–35.7 | similar |
| Buckingham | 4,443 | 30.6% | 26.0–35.8 | similar |
| North Fort Myers | 42,719 | 30.5% | 25.9–35.6 | similar |
| San Carlos Park | 18,563 | 30.3% | 25.7–35.3 | similar |
| Alva | 2,725 | 30.3% | 25.7–35.6 | similar |
| Matlacha Isles-Matlacha Shores | 227 | 28.9% | 24.2–33.8 | similar |
| Lochmoor Waterway Estates | 5,828 | 28.4% | 23.8–33.4 | similar |
| St. James City | 3,876 | 28.1% | 23.7–33.2 | similar |
| Gateway | 10,376 | 27.8% | 23.5–32.7 | similar |
| Three Oaks | 5,472 | 27.8% | 23.4–32.6 | similar |
| Whiskey Creek | 4,842 | 27.8% | 23.5–32.7 | similar |
| Bonita Springs | 53,644 | 27.4% | 23.1–32.1 | similar |
| Cypress Lake | 13,727 | 27.1% | 22.9–31.9 | similar |
| Verandah | 1,791 | 26.6% | 22.0–31.6 | similar |
| Iona | 16,908 | 26.5% | 22.3–31.3 | similar |
| Fort Myers Beach | 5,582 | 26.2% | 22.1–31.0 | similar |
| McGregor | 7,976 | 25.9% | 21.8–30.4 | similar |
| Estero | 36,939 | 25.6% | 21.5–30.1 | similar |
| Burnt Store Marina | 1,890 | 25.1% | 20.8–30.0 | similar |
| Sanibel | 6,382 | 24.6% | 20.6–29.2 | similar |
| Punta Rassa | 1,620 | 21.3% | 17.3–25.9 | similar |
Estimates by release
What each PLACES release published for Lee County (crude prevalence with 95% interval). CDC advises that the estimates cannot be used to track local change over time: each release re-models a different survey year onto a fixed population, intervals usually overlap and the interval method changed in 2023. Listed for reference only.
| Measure | 2022 release | 2023 release | 2024 release | 2025 release |
|---|---|---|---|---|
| COPD | 9.4% 7.9–11.0 | — | 9.6% 8.7–10.6 | 8.2% 6.7–10.0 |
| Coronary Heart Disease | 9.6% 8.6–10.6 | — | 10.1% 9.1–11.1 | 8.9% 7.7–10.2 |
| Current Asthma | 8.1% 7.8–8.6 | — | 9.2% 8.2–10.3 | 9.2% 8.1–10.3 |
| Depression | 16.9% 16.0–17.8 | — | 19.9% 17.3–22.7 | 16.9% 14.4–19.6 |
| Diabetes | 13.1% 12.1–14.1 | — | 14.0% 12.3–15.8 | 14.5% 12.6–16.6 |
| High Blood Pressure | 35.7% 34.5–36.9 | — | — | 39.6% 35.7–43.1 |
| Obesity | 27.1% 25.9–28.2 | — | 30.6% 25.9–35.7 | 30.4% 25.2–35.6 |
| Health Insurance | 23.2% 20.4–26.2 | — | 10.0% 9.1–11.1 | 15.7% 12.8–19.0 |
| Binge Drinking | 13.6% 13.2–14.0 | — | 15.8% 13.3–18.7 | 13.8% 11.4–16.3 |
| Current Cigarette Smoking | 15.6% 13.5–17.9 | — | 12.2% 10.7–13.8 | 11.9% 9.6–14.5 |
| Physical Inactivity | 25.8% 23.1–28.5 | — | 23.6% 20.5–27.0 | 26.6% 22.1–31.0 |
| General Health | 17.7% 15.5–20.1 | — | 18.2% 16.4–20.2 | 19.7% 16.6–23.3 |
Questions and answers
What share of adults in Lee County have obesity, according to PLACES?
PLACES estimates 30.4% (95% confidence interval 25.2–35.6%) in the 2025 release, based on 2023 BRFSS responses modelled onto the area's adult population. It is a modelled estimate for the whole adult population of the area, not a count of diagnoses.
How common is diagnosed diabetes in Lee County?
PLACES estimates 14.5% of adults (95% confidence interval 12.6–16.6%) in the 2025 release. The national estimate in the same release is 12.0%.
Is Lee County different from Florida on obesity?
The county's interval for obesity includes the Florida figure, so the two cannot be told apart by this model.
Can these figures describe a person who lives in Lee County?
No. CDC states: "We do not produce estimates for individuals; only aggregated results for counties, places, census tracts, or ZCTAs." The figures describe the expected prevalence across the area's adult population given its demographic make-up and its county and state; they say nothing about any resident.
Can Lee County be ranked or tracked over time with these figures?
CDC advises that the data "should not be used for ranking the overall health of any county, place, census tract, or ZCTA" and that the modelling procedure "does not support using the estimates to track changes at the local level over time". Areas can be compared on individual measures, with their confidence intervals; this site lists estimates by release for reference only.
Where does this data come from?
CDC PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025), which models Behavioral Risk Factor Surveillance System responses with Census population and American Community Survey data. Earlier releases (2022, 2023, 2024) are shown for reference. Boundaries and ZIP-to-county relationships are from the US Census Bureau.
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. Processing errors are corrected at the next daily build; see corrections. Generated 30 Sep 2026.