Health by ZIP

States › Minnesota › Washington County

County · Minnesota

Washington County, MN

278,936 residents, 212,815 adults (Census population estimates used by PLACES). 16 ZIP Codes and 25 places with estimates.

Washington County within Minnesota. Boundaries: US Census Bureau.
32.5%obesity, adults95% interval 28.4–36.7in line with · state figure 33.5% (site aggregate)
10.3%diabetes, adults95% interval 8.8–11.9in line with · state figure 10.1% (site aggregate)
29.4%high blood pressure, adults95% interval 26.5–32.4in line with · state figure 31.0% (site aggregate)
13.4%fair or poor health, adults95% interval 11.1–16.1in line with · state figure 16.0% (site aggregate)

CDC's PLACES project publishes model-based estimates of 40 health measures for Washington County, in Minnesota: 278,936 residents in the Census population estimates used by PLACES, 212,815 of them adults.

In the 2025 release it estimates that 32.5% of adults have obesity (95% confidence interval 28.4–36.7%), in line with the Minnesota figure of 33.5% (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: 10.3% of adults (95% confidence interval 8.8–11.9%) in the 2025 release, in line with the Minnesota figure of 10.1% (site aggregate), similar to the national estimate of 12.0%.

Across the 40 measures with a published estimate, the county's interval lies entirely above the Minnesota figure for 1, entirely below it for 13 and includes it for 26. 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% intervalMN figureUS estimate

Health outcomes (12)vs MN figure: 0 above · 0 below · 12 in line
MeasureEstimate and 95% intervalValueFlagsRelease
All teeth lost among adults aged ≥65 yearsBRFSS 2022 · Adults aged 65 years and older7.7%6.3–9.38.3%6.8–10.0St. ≈US ↓St. ≈US ↓2025
Arthritis among adultsBRFSS 202321.3%19.0–23.718.1%16.2–20.2St. ≈US ↓St. ≈US ↓2025
Cancer (non-skin) or melanoma among adultsBRFSS 20238.8%7.9–9.77.3%6.6–8.0St. ≈US ≈St. ≈US ≈2025
Chronic obstructive pulmonary disease among adultsBRFSS 20234.5%3.5–5.53.8%3.1–4.6St. ≈US ↓St. ↓US ↓2025
Coronary heart disease among adultsBRFSS 20235.2%4.5–6.04.3%3.7–4.9St. ≈US ↓St. ≈US ↓2025
Current asthma among adultsBRFSS 20239.3%8.2–10.49.3%8.3–10.5St. ≈US ≈St. ≈US ≈2025
Depression among adultsBRFSS 202322.8%20.1–25.623.5%20.7–26.4St. ≈US ≈St. ≈US ≈2025
Diagnosed diabetes among adultsBRFSS 202310.3%8.8–11.98.7%7.5–10.0St. ≈US ≈St. ≈US ↓2025
High blood pressure among adultsBRFSS 202329.4%26.5–32.425.8%23.2–28.6St. ≈US ↓St. ≈US ↓2025
High cholesterol among adults who have ever been screenedBRFSS 202334.2%31.2–37.129.5%26.7–32.4St. ≈US ≈St. ≈US ≈2025
Obesity among adultsBRFSS 202332.5%28.4–36.732.1%28.1–36.3St. ≈US ≈St. ≈US ≈2025
Stroke among adultsBRFSS 20232.7%2.3–3.12.3%2.0–2.6St. ≈US ↓St. ↓US ↓2025
Prevention (7)vs MN figure: 1 above · 1 below · 5 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Cholesterol screening among adultsBRFSS 202387.3%85.3–89.185.4%83.0–87.4St. ≈US ≈St. ≈US ≈2025
Colorectal cancer screening among adults aged 45–75 yearsBRFSS 2022 · Adults aged 45–75 years66.8%63.1–70.161.8%58.0–65.4St. ≈US ≈St. ≈US ↑2025
Current lack of health insurance among adults aged 18-64 yearsBRFSS 2023 · Adults aged 18–64 years5.8%4.4–7.46.1%4.6–7.8St. ↓US ↓St. ≈US ↓2025
Mammography use among women aged 50-74 yearsBRFSS 2022 · Women aged 50–74 years83.1%78.5–87.083.0%78.4–87.0St. ≈US ↑St. ↑US ↑2025
Taking medicine to control high blood pressure among adults with high blood pressureBRFSS 202376.9%74.1–79.756.7%52.8–60.6St. ≈US ≈St. ≈US ≈2025
Visited dentist or dental clinic in the past year among adultsBRFSS 202275.8%73.4–78.074.9%72.4–77.2St. ↑US ↑St. ↑US ↑2025
Visits to doctor for routine checkup within the past year among adultsBRFSS 202376.2%73.3–79.074.0%70.9–77.0St. ≈US ≈St. ≈US ≈2025
Health risk behaviors (4)vs MN figure: 0 above · 1 below · 3 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Binge drinking among adultsBRFSS 202316.3%14.1–18.917.9%15.4–20.6St. ≈US ≈St. ≈US ≈2025
Current cigarette smoking among adultsBRFSS 202310.9%8.4–13.610.9%8.3–13.6St. ≈US ≈St. ≈US ≈2025
No leisure-time physical activity among adultsBRFSS 202319.1%15.7–22.618.2%15.1–21.6St. ≈US ↓St. ≈US ↓2025
Short sleep duration among adultsBRFSS 202224.9%21.9–28.025.7%22.6–28.8St. ↓US ↓St. ↓US ↓2025
Disability (7)vs MN figure: 0 above · 5 below · 2 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Any disability among adultsBRFSS 202323.5%20.1–27.122.3%19.2–25.8St. ↓US ↓St. ↓US ↓2025
Cognitive disability among adultsBRFSS 202310.8%9.0–12.711.3%9.5–13.4St. ↓US ↓St. ≈US ↓2025
Hearing disability among adultsBRFSS 20236.0%5.2–6.95.2%4.6–5.9St. ≈US ≈St. ≈US ≈2025
Independent living disability among adultsBRFSS 20235.6%4.7–6.75.5%4.6–6.6St. ↓US ↓St. ↓US ↓2025
Mobility disability among adultsBRFSS 20239.5%7.7–11.48.1%6.7–9.7St. ≈US ↓St. ↓US ↓2025
Self-care disability among adultsBRFSS 20232.5%2.1–3.02.3%1.9–2.7St. ↓US ↓St. ↓US ↓2025
Vision disability among adultsBRFSS 20233.2%2.7–3.73.0%2.5–3.5St. ↓US ↓St. ↓US ↓2025
Health status (3)vs MN figure: 0 above · 0 below · 3 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Fair or poor self-rated health status among adultsBRFSS 202313.4%11.1–16.112.7%10.5–15.1St. ≈US ↓St. ↓US ↓2025
Frequent mental distress among adultsBRFSS 202313.3%11.5–15.214.1%12.3–16.3St. ≈US ↓St. ≈US ≈2025
Frequent physical distress among adultsBRFSS 202310.0%8.4–11.69.3%7.9–10.8St. ≈US ↓St. ≈US ↓2025
Health-related social needs (7)vs MN figure: 0 above · 6 below · 1 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Food insecurity in the past 12 months among adultsBRFSS 20238.4%6.6–10.78.8%6.9–11.2St. ↓US ↓St. ↓US ↓2025
Housing insecurity in the past 12 months among adultsBRFSS 20237.3%5.9–9.07.9%6.3–9.6St. ↓US ↓St. ↓US ↓2025
Lack of reliable transportation in the past 12 months among adultsBRFSS 20235.4%4.5–6.55.8%4.8–6.9St. ↓US ↓St. ↓US ↓2025
Lack of social and emotional support among adultsBRFSS 202318.5%15.9–21.419.1%16.4–22.1St. ↓US ↓St. ≈US ↓2025
Loneliness among adultsBRFSS 202328.6%25.3–32.229.8%26.4–33.6St. ≈US ≈St. ≈US ≈2025
Received food stamps in the past 12 months among adultsBRFSS 20235.3%4.0–7.05.5%4.1–7.3St. ↓US ↓St. ↓US ↓2025
Utility services shut-off threat in the past 12 months among adultsBRFSS 20234.5%3.7–5.54.8%3.9–5.8St. ↓US ↓St. ↓US ↓2025

Flags: St. = Minnesota 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)Washington CountyMinnesota (site aggregate)United States
Obesity32.5%
28.4–36.7
33.5%
in line
32.8%
32.4–33.1 · similar
Diabetes10.3%
8.8–11.9
10.1%
in line
12.0%
11.8–12.2 · similar
High Blood Pressure29.4%
26.5–32.4
31.0%
in line
34.4%
34.0–34.7 · lower
Current Asthma9.3%
8.2–10.4
9.9%
in line
9.8%
9.6–10.0 · similar
COPD4.5%
3.5–5.5
5.4%
in line
6.2%
6.1–6.3 · lower
Coronary Heart Disease5.2%
4.5–6.0
5.9%
in line
6.4%
6.2–6.5 · lower
Depression22.8%
20.1–25.6
24.4%
in line
20.2%
19.9–20.5 · similar
Current Cigarette Smoking10.9%
8.4–13.6
13.1%
in line
11.4%
11.2–11.6 · similar
Binge Drinking16.3%
14.1–18.9
17.8%
in line
15.2%
15.0–15.5 · similar
Physical Inactivity19.1%
15.7–22.6
22.3%
in line
24.5%
24.2–24.8 · lower
Health Insurance5.8%
4.4–7.4
7.5%
below
11.0%
10.7–11.3 · lower
General Health13.4%
11.1–16.1
16.0%
in line
19.2%
18.9–19.5 · lower
Measure (age-adjusted)Washington CountyMinnesota (site aggregate)United States
Obesity32.1%
28.1–36.3
33.6%
in line
32.9%
32.5–33.2 · similar
Diabetes8.7%
7.5–10.0
8.7%
in line
10.3%
10.1–10.5 · lower
High Blood Pressure25.8%
23.2–28.6
27.8%
in line
30.7%
30.4–31.0 · lower
Current Asthma9.3%
8.3–10.5
9.9%
in line
9.8%
9.6–10.0 · similar
COPD3.8%
3.1–4.6
4.7%
below
5.3%
5.2–5.4 · lower
Coronary Heart Disease4.3%
3.7–4.9
4.9%
in line
5.3%
5.2–5.4 · lower
Depression23.5%
20.7–26.4
25.1%
in line
20.7%
20.4–21.0 · similar
Current Cigarette Smoking10.9%
8.3–13.6
13.3%
in line
11.6%
11.4–11.9 · similar
Binge Drinking17.9%
15.4–20.6
19.3%
in line
16.6%
16.3–16.9 · similar
Physical Inactivity18.2%
15.1–21.6
21.5%
in line
23.7%
23.4–24.0 · lower
Health Insurance6.1%
4.6–7.8
7.8%
in line
11.5%
11.2–11.9 · lower
General Health12.7%
10.5–15.1
15.3%
below
18.3%
18.0–18.6 · lower

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 Washington County

crude prevalence, highest point estimate first

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 Washington County by the confidence-interval rule.

ZIP CodesPopulationEstimate95% intervalvs Washington County
ZIP 550553,79737.6%33.1–41.9similar
ZIP 550034,02437.0%32.6–41.3similar
ZIP 550715,82735.1%30.9–39.6similar
ZIP 5512829,21734.3%30.2–38.5similar
ZIP 550433,45934.2%30.1–38.7similar
ZIP 550733,53234.1%30.2–38.1similar
ZIP 5501638,42733.2%29.2–37.5similar
ZIP 5503823,73533.1%30.0–36.2similar
ZIP 550472,49132.6%28.6–36.8similar
ZIP 5508236,44132.6%28.5–36.8similar
ZIP 5509045032.3%28.0–36.9similar
ZIP 5504212,04432.2%28.2–36.4similar
ZIP 5512543,84632.1%28.1–36.1similar
ZIP 550012,99531.9%27.7–36.1similar
ZIP 551158,88031.8%27.7–36.1similar
ZIP 5512931,23630.1%26.4–33.9similar

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 Washington County

crude prevalence, highest point estimate first

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 Washington County by the confidence-interval rule.

PlacesPopulationEstimate95% intervalvs Washington County
Newport3,79737.6%33.1–41.9similar
Bayport4,02437.0%32.6–41.3similar
Landfall84335.7%31.3–40.1similar
St. Paul Park5,54435.2%30.9–39.7similar
Lake St. Croix Beach1,04334.7%30.2–39.1similar
Forest Lake20,61134.5%30.3–38.8similar
Lakeland Shores33934.3%29.9–38.7similar
Oakdale28,30334.2%30.2–38.4similar
Lakeland1,71033.9%29.6–38.6similar
St. Marys Point35333.8%29.6–38.2similar
Scandia3,98433.6%29.3–38.1similar
Stillwater19,39433.4%29.2–37.6similar
Cottage Grove38,83933.2%29.2–37.5similar
Hugo15,76632.9%28.8–37.0similar
Willernie51532.6%28.3–37.0similar
Lake Elmo11,33532.3%28.2–36.5similar
Grant3,96632.2%28.0–36.5similar
Afton2,95531.9%27.7–36.1similar
Pine Springs37731.9%27.7–36.1similar
Birchwood Village86331.8%27.7–36.2similar
Mahtomedi8,13831.7%27.7–36.0similar
Marine on St. Croix66431.6%27.4–35.8similar
Woodbury75,10231.3%27.4–35.2similar
Oak Park Heights4,84930.8%26.9–35.1similar
Dellwood1,17130.5%26.6–34.8similar

Estimates by release

What each PLACES release published for Washington 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.

Measure2022 release2023 release2024 release2025 release
COPD4.4%
3.6–5.2
4.4%
3.5–5.4
3.7%
3.3–4.1
4.5%
3.5–5.5
Coronary Heart Disease5.4%
4.8–6.0
5.1%
4.4–5.9
5.2%
4.7–5.7
5.2%
4.5–6.0
Current Asthma8.4%
8.0–8.9
8.7%
7.7–9.7
9.4%
8.4–10.5
9.3%
8.2–10.4
Depression20.6%
19.5–21.8
21.2%
18.7–24.1
22.9%
20.5–25.5
22.8%
20.1–25.6
Diabetes8.8%
8.1–9.5
8.6%
7.3–10.0
8.3%
7.3–9.4
10.3%
8.8–11.9
High Blood Pressure27.6%
26.3–28.9
28.8%
25.9–31.7
28.0%
25.4–30.7
29.4%
26.5–32.4
Obesity30.0%
28.6–31.3
31.4%
27.6–35.3
31.1%
27.6–34.7
32.5%
28.4–36.7
Health Insurance8.9%
7.4–10.8
5.1%
3.9–6.5
3.5%
3.1–3.9
5.8%
4.4–7.4
Binge Drinking18.5%
18.0–19.1
19.3%
16.9–22.0
20.6%
17.9–23.2
16.3%
14.1–18.9
Current Cigarette Smoking13.0%
10.5–15.8
12.4%
9.6–15.6
8.8%
7.7–10.0
10.9%
8.4–13.6
Physical Inactivity16.5%
14.4–18.6
17.9%
14.9–21.3
15.0%
13.1–17.1
19.1%
15.7–22.6
General Health9.1%
7.8–10.6
10.6%
8.7–12.9
9.8%
8.7–10.9
13.4%
11.1–16.1

Questions and answers

What share of adults in Washington County have obesity, according to PLACES?

PLACES estimates 32.5% (95% confidence interval 28.4–36.7%) 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 Washington County?

PLACES estimates 10.3% of adults (95% confidence interval 8.8–11.9%) in the 2025 release. The national estimate in the same release is 12.0%.

Is Washington County different from Minnesota on obesity?

The county's interval for obesity includes the Minnesota figure, so the two cannot be told apart by this model.

Can these figures describe a person who lives in Washington 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 Washington 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.