States › Florida › Orange County
County · Florida
Orange County, FL
1,471,416 residents, 1,160,505 adults (Census population estimates used by PLACES). 43 ZIP Codes and 47 places with estimates.
CDC's PLACES project publishes model-based estimates of 40 health measures for Orange County, in Florida: 1,471,416 residents in the Census population estimates used by PLACES, 1,160,505 of them adults.
In the 2025 release it estimates that 33.5% of adults have obesity (95% confidence interval 28.6–38.5%), 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: 11.7% of adults (95% confidence interval 10.3–13.3%) in the 2025 release, below the Florida figure of 13.5% (site aggregate), similar to 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 1, entirely below it for 11 and includes it for 27. 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: 0 above · 7 below · 5 in line
Prevention (7)vs FL figure: 0 above · 2 below · 5 in line
Health risk behaviors (4)vs FL figure: 0 above · 0 below · 4 in line
Disability (7)vs FL figure: 0 above · 2 below · 5 in line
Health status (3)vs FL figure: 0 above · 0 below · 3 in line
Health-related social needs (7)vs FL figure: 1 above · 0 below · 5 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) | Orange County | Florida (site aggregate) | United States |
|---|---|---|---|
| Obesity | 33.5% 28.6–38.5 | 31.9% in line | 32.8% 32.4–33.1 · similar |
| Diabetes | 11.7% 10.3–13.3 | 13.5% below | 12.0% 11.8–12.2 · similar |
| High Blood Pressure | 32.0% 28.8–35.2 | 36.6% below | 34.4% 34.0–34.7 · similar |
| Current Asthma | 9.1% 8.1–10.2 | 9.4% in line | 9.8% 9.6–10.0 · similar |
| COPD | 5.5% 4.7–6.4 | 7.2% below | 6.2% 6.1–6.3 · similar |
| Coronary Heart Disease | 5.6% 4.9–6.2 | 7.5% below | 6.4% 6.2–6.5 · similar |
| Depression | 16.6% 14.2–19.1 | 17.1% in line | 20.2% 19.9–20.5 · lower |
| Current Cigarette Smoking | 11.9% 9.8–14.1 | 12.4% in line | 11.4% 11.2–11.6 · similar |
| Binge Drinking | 15.0% 12.7–17.5 | 14.6% in line | 15.2% 15.0–15.5 · similar |
| Physical Inactivity | 24.5% 20.8–28.4 | 26.3% in line | 24.5% 24.2–24.8 · similar |
| Health Insurance | 16.1% 12.9–19.3 | 15.9% in line | 11.0% 10.7–11.3 · higher |
| General Health | 19.2% 16.5–22.0 | 20.3% in line | 19.2% 18.9–19.5 · similar |
| Measure (age-adjusted) | Orange County | Florida (site aggregate) | United States |
|---|---|---|---|
| Obesity | 33.5% 28.6–38.5 | 32.2% in line | 32.9% 32.5–33.2 · similar |
| Diabetes | 11.5% 10.0–13.0 | 11.1% in line | 10.3% 10.1–10.5 · similar |
| High Blood Pressure | 31.7% 28.5–34.9 | 31.4% in line | 30.7% 30.4–31.0 · similar |
| Current Asthma | 9.1% 8.0–10.2 | 9.5% in line | 9.8% 9.6–10.0 · similar |
| COPD | 5.4% 4.6–6.2 | 5.8% in line | 5.3% 5.2–5.4 · similar |
| Coronary Heart Disease | 5.5% 4.9–6.2 | 5.6% in line | 5.3% 5.2–5.4 · similar |
| Depression | 16.5% 14.2–19.0 | 18.0% in line | 20.7% 20.4–21.0 · lower |
| Current Cigarette Smoking | 11.9% 9.8–14.1 | 12.8% in line | 11.6% 11.4–11.9 · similar |
| Binge Drinking | 15.1% 12.7–17.6 | 16.7% in line | 16.6% 16.3–16.9 · similar |
| Physical Inactivity | 24.6% 20.9–28.5 | 24.9% in line | 23.7% 23.4–24.0 · similar |
| Health Insurance | 16.3% 13.0–19.4 | 16.5% in line | 11.5% 11.2–11.9 · higher |
| General Health | 19.1% 16.4–21.9 | 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 Orange 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 Orange County by the confidence-interval rule.
| ZIP Codes | Population | Estimate | 95% interval | vs Orange County |
|---|---|---|---|---|
| ZIP 32808 | 52,551 | 42.8% | 37.2–48.2 | similar |
| ZIP 32805 | 23,331 | 42.5% | 36.9–48.0 | similar |
| ZIP 32811 | 42,274 | 40.6% | 35.2–45.9 | similar |
| ZIP 32818 | 48,052 | 40.5% | 35.2–46.0 | similar |
| ZIP 32839 | 58,641 | 39.6% | 34.2–45.0 | similar |
| ZIP 32809 | 29,478 | 37.4% | 32.2–42.7 | similar |
| ZIP 32810 | 35,925 | 37.0% | 31.8–42.2 | similar |
| ZIP 32822 | 64,120 | 35.5% | 30.4–40.9 | similar |
| ZIP 32703 | 54,805 | 34.7% | 30.4–39.1 | similar |
| ZIP 32807 | 34,384 | 34.7% | 29.6–39.8 | similar |
| ZIP 32835 | 45,380 | 34.2% | 29.2–39.1 | similar |
| ZIP 32831 | 2,619 | 34.1% | 28.7–39.5 | similar |
| ZIP 34761 | 48,193 | 34.1% | 29.0–39.0 | similar |
| ZIP 32812 | 34,586 | 33.7% | 28.7–38.9 | similar |
| ZIP 32824 | 57,412 | 33.7% | 28.7–38.7 | similar |
| ZIP 32825 | 61,755 | 33.7% | 28.8–38.7 | similar |
| ZIP 32820 | 10,150 | 32.8% | 27.9–37.9 | similar |
| ZIP 34734 | 4,166 | 32.7% | 27.8–37.8 | similar |
| ZIP 34760 | 986 | 32.7% | 27.7–37.9 | similar |
| ZIP 32712 | 50,085 | 32.6% | 27.7–37.7 | similar |
| ZIP 32833 | 10,542 | 32.5% | 27.6–37.5 | similar |
| ZIP 32837 | 56,813 | 32.4% | 27.7–37.3 | similar |
| ZIP 32829 | 20,629 | 31.5% | 26.8–36.5 | similar |
| ZIP 32709 | 2,691 | 31.4% | 26.5–36.4 | similar |
| ZIP 32821 | 25,999 | 31.1% | 26.3–36.1 | similar |
| ZIP 34787 | 88,636 | 31.0% | 26.3–35.7 | similar |
| ZIP 32827 | 19,042 | 30.8% | 25.9–35.8 | similar |
| ZIP 32806 | 26,582 | 30.2% | 25.4–35.1 | similar |
| ZIP 32832 | 34,882 | 30.1% | 25.5–35.0 | similar |
| ZIP 32828 | 68,428 | 29.8% | 25.2–34.6 | similar |
| ZIP 32817 | 40,376 | 29.7% | 25.1–34.5 | similar |
| ZIP 32798 | 2,501 | 29.6% | 24.8–34.6 | similar |
| ZIP 32804 | 19,084 | 29.6% | 24.9–34.4 | similar |
| ZIP 32819 | 30,857 | 29.6% | 25.0–34.3 | similar |
| ZIP 32751 | 23,230 | 29.4% | 25.6–33.4 | similar |
| ZIP 32803 | 21,003 | 29.2% | 24.5–34.0 | similar |
| ZIP 32801 | 17,728 | 28.7% | 23.9–33.4 | similar |
| ZIP 32826 | 33,065 | 28.6% | 24.2–33.4 | similar |
| ZIP 32789 | 26,399 | 28.5% | 24.0–33.1 | similar |
| ZIP 34786 | 46,553 | 28.5% | 24.0–33.3 | similar |
| ZIP 32836 | 23,205 | 27.9% | 23.5–32.5 | similar |
| ZIP 32814 | 9,218 | 25.8% | 21.4–30.6 | similar |
| ZIP 32816 | 8,246 | 21.3% | 17.4–25.3 | lower |
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 Orange 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 Orange County by the confidence-interval rule.
| Places | Population | Estimate | 95% interval | vs Orange County |
|---|---|---|---|---|
| Pine Hills | 66,111 | 42.2% | 36.8–47.7 | similar |
| Eatonville | 2,349 | 41.6% | 36.0–47.2 | similar |
| Orlovista | 6,806 | 41.2% | 35.7–46.6 | similar |
| Oak Ridge | 25,062 | 40.9% | 35.5–46.3 | similar |
| South Apopka | 6,803 | 38.7% | 33.5–44.1 | similar |
| Pine Castle | 11,122 | 38.3% | 33.1–43.7 | similar |
| Tangelo Park | 2,459 | 37.4% | 32.1–42.6 | similar |
| Sky Lake | 7,226 | 37.1% | 31.9–42.5 | similar |
| Lockhart | 14,058 | 35.5% | 30.3–40.8 | similar |
| Orlando | 307,573 | 34.5% | 29.5–39.6 | similar |
| Apopka | 54,873 | 34.4% | 29.4–39.5 | similar |
| Fairview Shores | 10,722 | 34.4% | 29.4–39.4 | similar |
| Azalea Park | 14,141 | 34.3% | 29.1–39.6 | similar |
| Holden Heights | 4,097 | 34.1% | 29.1–39.1 | similar |
| Ocoee | 47,295 | 34.0% | 29.0–39.0 | similar |
| Union Park | 10,452 | 34.0% | 29.0–39.1 | similar |
| Taft | 2,221 | 33.8% | 28.7–39.0 | similar |
| Meadow Woods | 43,790 | 33.7% | 28.7–38.7 | similar |
| Southchase | 16,276 | 33.7% | 28.8–38.7 | similar |
| Bithlo | 9,848 | 33.5% | 28.5–38.6 | similar |
| Paradise Heights | 1,260 | 33.2% | 28.1–38.6 | similar |
| Clarcona | 3,283 | 32.8% | 27.9–38.1 | similar |
| Tangerine | 3,237 | 32.3% | 27.4–37.4 | similar |
| Tildenville | 475 | 31.9% | 27.0–37.0 | similar |
| Wedgefield | 8,017 | 31.8% | 26.9–36.8 | similar |
| Edgewood | 2,685 | 31.8% | 27.0–36.9 | similar |
| Winter Garden | 46,964 | 31.6% | 26.7–36.5 | similar |
| Rio Pinar | 5,409 | 31.4% | 26.6–36.6 | similar |
| Christmas | 2,439 | 31.4% | 26.5–36.4 | similar |
| Conway | 13,596 | 31.2% | 26.3–36.4 | similar |
| Williamsburg | 7,908 | 31.1% | 26.2–36.0 | similar |
| Oakland | 3,516 | 30.8% | 26.0–35.6 | similar |
| Belle Isle | 7,032 | 30.6% | 25.9–35.5 | similar |
| Alafaya | 92,452 | 30.4% | 25.8–35.2 | similar |
| Hunters Creek | 24,433 | 30.0% | 25.3–34.8 | similar |
| Gotha | 2,217 | 30.0% | 25.4–35.0 | similar |
| Zellwood | 2,758 | 29.8% | 25.0–34.8 | similar |
| Horizon West | 58,101 | 29.6% | 25.0–34.4 | similar |
| Lake Mary Jane | 1,790 | 29.4% | 24.7–34.5 | similar |
| Maitland | 19,543 | 29.0% | 24.4–33.8 | similar |
| Lake Hart | 1,052 | 28.9% | 24.1–33.7 | similar |
| Winter Park | 29,795 | 28.4% | 23.9–33.1 | similar |
| Doctor Phillips | 12,328 | 28.1% | 23.6–32.7 | similar |
| Lake Butler | 18,851 | 27.7% | 23.2–32.4 | similar |
| Windermere | 3,030 | 27.1% | 22.6–31.6 | similar |
| University | 45,284 | 26.2% | 21.9–30.6 | similar |
| Bay Hill | 5,021 | 25.3% | 21.1–29.7 | similar |
Estimates by release
What each PLACES release published for Orange 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 | 6.4% 5.6–7.2 | — | 6.1% 5.5–6.7 | 5.5% 4.7–6.4 |
| Coronary Heart Disease | 5.8% 5.4–6.2 | — | 6.0% 5.4–6.6 | 5.6% 4.9–6.2 |
| Current Asthma | 8.6% 8.3–8.9 | — | 9.9% 8.8–11.1 | 9.1% 8.1–10.2 |
| Depression | 16.8% 16.0–17.6 | — | 20.6% 18.0–23.4 | 16.6% 14.2–19.1 |
| Diabetes | 10.9% 10.3–11.4 | — | 11.6% 10.1–13.0 | 11.7% 10.3–13.3 |
| High Blood Pressure | 29.0% 28.2–29.8 | — | — | 32.0% 28.8–35.2 |
| Obesity | 30.4% 29.4–31.4 | — | 32.6% 28.0–37.4 | 33.5% 28.6–38.5 |
| Health Insurance | 24.9% 22.2–27.9 | — | 13.5% 12.0–14.7 | 16.1% 12.9–19.3 |
| Binge Drinking | 14.3% 13.8–14.7 | — | 18.3% 15.3–21.4 | 15.0% 12.7–17.5 |
| Current Cigarette Smoking | 15.9% 13.8–17.9 | — | 12.4% 10.9–13.9 | 11.9% 9.8–14.1 |
| Physical Inactivity | 25.5% 23.4–27.4 | — | 23.0% 20.0–26.1 | 24.5% 20.8–28.4 |
| General Health | 16.4% 14.8–18.1 | — | 17.5% 15.8–19.4 | 19.2% 16.5–22.0 |
Questions and answers
What share of adults in Orange County have obesity, according to PLACES?
PLACES estimates 33.5% (95% confidence interval 28.6–38.5%) 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 Orange County?
PLACES estimates 11.7% of adults (95% confidence interval 10.3–13.3%) in the 2025 release. The national estimate in the same release is 12.0%.
Is Orange 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 Orange 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 Orange 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 1 Oct 2026.