States › California › Imperial County
County · California
Imperial County, CA
179,057 residents, 128,709 adults (Census population estimates used by PLACES). 15 ZIP Codes and 19 places with estimates.
- California
- ZIP Codes
- Places
- Crude and age-adjusted estimates
CDC's PLACES project publishes model-based estimates of 40 health measures for Imperial County, in California: 179,057 residents in the Census population estimates used by PLACES, 128,709 of them adults.
In the 2025 release it estimates that 34.7% of adults have obesity (95% confidence interval 28.0–41.8%), above the California figure of 27.8% (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: 15.0% of adults (95% confidence interval 13.0–17.1%) in the 2025 release, above the California figure of 11.7% (site aggregate), higher than the national estimate of 12.0%.
Across the 40 measures with a published estimate, the county's interval lies entirely above the California figure for 21, entirely below it for 4 and includes it for 15. State figures are population-weighted county estimates computed by this site and carry no interval.
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% intervalCA figureUS estimate
Health outcomes (12)vs CA figure: 5 above · 1 below · 6 in line
Prevention (7)vs CA figure: 1 above · 3 below · 3 in line
Health risk behaviors (4)vs CA figure: 1 above · 0 below · 3 in line
Disability (7)vs CA figure: 7 above · 0 below · 0 in line
Health status (3)vs CA figure: 2 above · 0 below · 1 in line
Health-related social needs (7)vs CA figure: 5 above · 0 below · 2 in line
Flags: St. = California 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) | Imperial County | California (site aggregate) | United States |
|---|---|---|---|
| Obesity | 34.7% 28.0–41.8 | 27.8% above | 32.8% 32.4–33.1 · similar |
| Diabetes | 15.0% 13.0–17.1 | 11.7% above | 12.0% 11.8–12.2 · higher |
| High Blood Pressure | 33.2% 29.6–37.0 | 30.5% in line | 34.4% 34.0–34.7 · similar |
| Current Asthma | 9.2% 8.1–10.4 | 9.3% in line | 9.8% 9.6–10.0 · similar |
| COPD | 5.7% 4.7–6.6 | 5.1% in line | 6.2% 6.1–6.3 · similar |
| Coronary Heart Disease | 6.7% 5.8–7.6 | 5.6% above | 6.4% 6.2–6.5 · similar |
| Depression | 19.9% 16.9–23.1 | 20.1% in line | 20.2% 19.9–20.5 · similar |
| Current Cigarette Smoking | 12.9% 10.4–15.5 | 10.9% in line | 11.4% 11.2–11.6 · similar |
| Binge Drinking | 15.9% 13.2–19.0 | 15.3% in line | 15.2% 15.0–15.5 · similar |
| Physical Inactivity | 35.2% 29.3–41.2 | 24.6% above | 24.5% 24.2–24.8 · higher |
| Health Insurance | 22.1% 17.2–27.4 | 10.6% above | 11.0% 10.7–11.3 · higher |
| General Health | 32.6% 27.7–37.8 | 22.1% above | 19.2% 18.9–19.5 · higher |
| Measure (age-adjusted) | Imperial County | California (site aggregate) | United States |
|---|---|---|---|
| Obesity | 35.2% 28.4–42.3 | 27.9% above | 32.9% 32.5–33.2 · similar |
| Diabetes | 14.6% 12.7–16.6 | 10.7% above | 10.3% 10.1–10.5 · higher |
| High Blood Pressure | 32.5% 29.0–36.4 | 28.5% above | 30.7% 30.4–31.0 · similar |
| Current Asthma | 9.2% 8.1–10.4 | 9.3% in line | 9.8% 9.6–10.0 · similar |
| COPD | 5.4% 4.5–6.3 | 4.6% in line | 5.3% 5.2–5.4 · similar |
| Coronary Heart Disease | 6.3% 5.5–7.2 | 5.0% above | 5.3% 5.2–5.4 · higher |
| Depression | 20.0% 16.9–23.2 | 20.4% in line | 20.7% 20.4–21.0 · similar |
| Current Cigarette Smoking | 13.3% 10.7–16.0 | 11.0% in line | 11.6% 11.4–11.9 · similar |
| Binge Drinking | 16.2% 13.5–19.3 | 16.2% in line | 16.6% 16.3–16.9 · similar |
| Physical Inactivity | 35.1% 29.3–41.2 | 24.2% above | 23.7% 23.4–24.0 · higher |
| Health Insurance | 22.2% 17.3–27.6 | 10.7% above | 11.5% 11.2–11.9 · higher |
| General Health | 32.4% 27.6–37.6 | 21.6% above | 18.3% 18.0–18.6 · higher |
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 Imperial 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 Imperial County by the confidence-interval rule.
| ZIP Codes | Population | Estimate | 95% interval | vs Imperial County |
|---|---|---|---|---|
| ZIP 92281 | 2,122 | 39.4% | 31.9–47.5 | similar |
| ZIP 92266 | 198 | 39.2% | 31.7–47.2 | similar |
| ZIP 92233 | 7,019 | 38.6% | 31.1–46.6 | similar |
| ZIP 92283 | 2,695 | 38.5% | 31.1–46.7 | similar |
| ZIP 92257 | 1,676 | 37.3% | 30.0–45.1 | similar |
| ZIP 92222 | 64 | 36.8% | 29.6–44.7 | similar |
| ZIP 92273 | 1,694 | 35.4% | 28.0–43.0 | similar |
| ZIP 92249 | 6,975 | 35.2% | 27.9–43.1 | similar |
| ZIP 92227 | 27,492 | 35.0% | 28.0–42.6 | similar |
| ZIP 92243 | 49,149 | 35.0% | 28.0–42.6 | similar |
| ZIP 92231 | 39,542 | 34.9% | 27.9–42.4 | similar |
| ZIP 92259 | 328 | 34.7% | 27.5–42.4 | similar |
| ZIP 92251 | 25,851 | 34.2% | 27.1–41.8 | similar |
| ZIP 92275 | 1,390 | 34.2% | 27.3–42.0 | similar |
| ZIP 92250 | 7,883 | 34.0% | 27.0–41.7 | 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 Imperial 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 Imperial County by the confidence-interval rule.
| Places | Population | Estimate | 95% interval | vs Imperial County |
|---|---|---|---|---|
| Palo Verde | 152 | 39.7% | 32.0–47.5 | similar |
| Westmorland | 2,014 | 39.5% | 32.0–47.6 | similar |
| Bombay Beach | 231 | 39.0% | 31.6–47.1 | similar |
| Calipatria | 6,515 | 38.8% | 31.2–46.8 | similar |
| Winterhaven | 390 | 36.8% | 29.4–44.7 | similar |
| Niland | 756 | 36.3% | 29.2–44.1 | similar |
| Seeley | 1,729 | 35.4% | 28.0–43.0 | similar |
| Calexico | 38,633 | 35.2% | 28.2–42.8 | similar |
| Heber | 6,896 | 35.2% | 27.9–43.1 | similar |
| Brawley | 26,416 | 35.1% | 28.1–42.7 | similar |
| El Centro | 44,322 | 35.0% | 28.0–42.6 | similar |
| Ocotillo | 215 | 34.5% | 27.3–42.1 | similar |
| Holtville | 5,605 | 34.4% | 27.3–42.2 | similar |
| Desert Shores | 1,128 | 34.4% | 27.3–42.2 | similar |
| Salton City | 5,155 | 34.3% | 27.4–41.9 | similar |
| Bluewater | 116 | 34.3% | 29.9–38.7 | similar |
| Salton Sea Beach | 508 | 33.6% | 26.9–41.3 | similar |
| El Centro Naval Air Facility | 280 | 33.6% | 26.9–41.0 | similar |
| Imperial | 20,263 | 33.0% | 26.1–40.5 | similar |
Estimates by release
What each PLACES release published for Imperial 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 | 6.3% 5.5–7.1 | 6.1% 5.1–7.2 | 6.1% 5.5–6.8 | 5.7% 4.7–6.6 |
| Coronary Heart Disease | 6.9% 6.3–7.5 | 6.4% 5.6–7.2 | 6.9% 6.2–7.7 | 6.7% 5.8–7.6 |
| Current Asthma | 9.9% 9.4–10.5 | 9.9% 8.6–11.4 | 10.2% 8.9–11.5 | 9.2% 8.1–10.4 |
| Depression | 16.7% 15.6–17.8 | 17.0% 13.8–20.4 | 20.6% 17.4–24.1 | 19.9% 16.9–23.1 |
| Diabetes | 14.7% 13.8–15.7 | 15.2% 13.2–17.4 | 15.4% 13.4–17.4 | 15.0% 13.0–17.1 |
| High Blood Pressure | 30.0% 28.7–31.2 | 30.4% 26.5–34.5 | 30.3% 26.5–34.3 | 33.2% 29.6–37.0 |
| Obesity | 35.6% 33.9–37.2 | 37.5% 30.1–45.4 | 38.0% 30.7–45.6 | 34.7% 28.0–41.8 |
| Health Insurance | 25.7% 20.9–30.7 | 22.5% 17.2–28.5 | 17.1% 15.4–18.7 | 22.1% 17.2–27.4 |
| Binge Drinking | 17.1% 16.3–17.9 | 14.9% 12.0–18.0 | 17.9% 14.6–21.5 | 15.9% 13.2–19.0 |
| Current Cigarette Smoking | 13.6% 11.5–15.7 | 13.8% 11.0–16.9 | 13.6% 11.8–15.4 | 12.9% 10.4–15.5 |
| Physical Inactivity | 31.8% 28.6–34.8 | 30.1% 24.8–35.5 | 32.5% 27.8–37.3 | 35.2% 29.3–41.2 |
| General Health | 24.2% 21.3–27.3 | 26.8% 22.9–31.0 | 29.0% 26.3–31.9 | 32.6% 27.7–37.8 |
Questions and answers
What share of adults in Imperial County have obesity, according to PLACES?
PLACES estimates 34.7% (95% confidence interval 28.0–41.8%) 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 Imperial County?
PLACES estimates 15.0% of adults (95% confidence interval 13.0–17.1%) in the 2025 release. The national estimate in the same release is 12.0%.
Is Imperial County different from California on obesity?
The county's whole obesity interval lies above the California figure (a population-weighted mean of county estimates computed by this site, which has no published interval).
Can these figures describe a person who lives in Imperial 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 Imperial 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.