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ZipVitals

ZIP code

55947

in La Crescent, MinnesotaPopulation 7,403

60.99/ 100

Ranked #4,135 of 32,066 US ZIPs (top 12.9%)

Ranked #108 of 866 Minnesota ZIPs (top 12.5%)

Ranked #1 of 26 La Crosse-Onalaska, WI-MN ZIPs (top 3.9%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Broad coverage across health domains

What defines this ZIP

Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.

Short sleep

27.2%

in the bottom 1.8% nationally

Lower is healthier

ST9th
US2nd
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Civic-institution access

0.8 per 1,000 residents

in the top 6.2% nationally

Higher is healthier

ST95th
US94th
Definition & source ›

The number of civic and social organizations inside this ZIP’s boundary, per 1,000 residents.

Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.

Full methodology ›

Utility shut-off threat

4.4%

in the bottom 6.6% nationally

Lower is healthier

ST8th
US7th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Housing insecurity

7.0%

in the bottom 7.4% nationally

Lower is healthier

ST9th
US7th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Colon-cancer screening

73.3%

in the top 6.5% nationally

Higher is healthier

ST89th
US94th
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Food insecurity

8.5%

in the bottom 9.8% nationally

Lower is healthier

ST9th
US10th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Tooth loss

7.0%

in the bottom 8.3% nationally

Lower is healthier

ST12th
US8th
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

Lack of transportation

5.5%

in the bottom 13.7% nationally

Lower is healthier

ST9th
US14th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

Unemployment rate

0.84%

in the bottom 18% nationally

Lower is healthier

ST10th
US18th
Definition & source ›

The share of the civilian labor force that is unemployed.

Full methodology ›

Tree cover

43.6%

in the top 26% nationally

Higher is healthier

ST93rd
US74th
Definition & source ›

The share of this ZIP’s land area covered by forest.

Full methodology ›

The read

On the composite measure, La Crescent, Minnesota (ZIP 55947) stands in the top 12.9% healthiest ZIPs nationally (4,135th) and the top 12.5% of Minnesota (108th), based on limited data; treat as directional.

continue reading

The strongest marks in the data are worth naming first: modeled short sleep is in the bottom 1.8% nationally, and civic registers in the top 6.2% nationally. Modeled utility shutoff lies in the bottom 6.6% nationally, and housing insecurity is in the bottom 7.4% nationally. Modeled colon screening registers in the top 6.5% nationally, food insecurity lies in the bottom 9.8% nationally, and loneliness is in the bottom 12.4% nationally. Modeled tooth loss registers in the bottom 8.3% nationally. Distance to a nursing home lies at the national minimum, shared with about 27% of ZIPs. On the other side, modeled radon is in the top 13.7% nationally.

For clarity, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Among the ZIPs nearby, none ranks healthier overall than this one. Beyond the headline readings, the area also sits on the healthier half of the national range on at least seven of the ten good-life measures tracked here, from quiet and green space to nearby care, a combination reached by about one in twenty-five US ZIP codes.

What’s driving this score

Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the La Crosse-Onalaska, WI-MN metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 76%

21%

Social Need / SDOH

healthier than 82%

16%

Preventive Care

healthier than 83%

13%

Risk Behavior

healthier than 80%

11%

Mental Health

healthier than 78%

8%

Disability

healthier than 80%

7%

Climate / Disaster RiskPartial

healthier than 74%

5%

Healthcare Access

healthier than 83%

5%

Holding it back

Environmental Hazard

healthier than 24%

14%

Lifting this score

Social Need / SDOH

healthier than 75%

16%

Preventive Care

healthier than 85%

13%

Risk Behavior

healthier than 82%

11%

Mental Health

healthier than 91%

8%

Disability

healthier than 71%

7%

Healthcare Access

healthier than 93%

5%

About typical

Chronic Disease Burden

healthier than 59%

21%

Environmental Hazard

healthier than 42%

14%

Climate / Disaster RiskPartial

healthier than 47%

5%

Nothing measured is holding this score back.

Lifting this score

Chronic Disease Burden

healthier than 94%

21%

Social Need / SDOH

healthier than 90%

16%

Preventive Care

healthier than 62%

13%

Risk Behavior

in the top 0.00%

11%

Mental Health

in the top 0.00%

8%

Disability

healthier than 89%

7%

Healthcare Access

healthier than 91%

5%

About typical

Climate / Disaster RiskPartial

healthier than 46%

5%

Holding it back

Environmental Hazard

healthier than 16%

14%

“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›

Findings that name this ZIP

One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.

  • Above what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 83.1 ± 2.0 years. A median household income of $88,611 predicts 79.6 years — 3.5 years above.

    Ranked #280 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured

Evidence

Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.

Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Arthritis among adults25.6%22.8–28.7
High blood pressure among adults31.8%28.3–35.4
Cancer (non-skin) or melanoma among adults10.3%9.4–11.4
Current asthma among adults10.0%8.9–11.2
Coronary heart disease among adults6.6%5.8–7.4
Chronic obstructive pulmonary disease among adults5.8%4.8–6.8
Depression among adults22.5%19.5–25.8
Diagnosed diabetes among adults10.5%9.1–12.1
High cholesterol among adults who have ever been screened35.1%31.5–38.9
Obesity among adults33.0%27.2–39.3
Stroke among adults3.3%2.9–3.7
All teeth lost among adults aged >=65 years7.0%5.8–8.5
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years6.1%4.8–7.9
Taking medicine to control high blood pressure among adults with high blood pressure79.3%76.8–82.0
Visits to doctor for routine checkup within the past year among adults75.9%72.6–79.2
Cholesterol screening among adults87.5%85.8–89.2
Colorectal cancer screening among adults aged 45–75 years73.3%69.4–77.1
Visited dentist or dental clinic in the past year among adults72.9%70.1–75.7
Mammography use among women aged 50-74 years78.1%71.5–83.7
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults18.2%15.5–21.3
Current cigarette smoking among adults12.7%10.3–15.3
No leisure-time physical activity among adults23.4%19.5–27.7
Short sleep duration among adults27.2%22.6–32.4
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults15.3%12.9–18.0
Frequent mental distress among adults13.9%12.2–15.6
Frequent physical distress among adults11.8%10.2–13.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults11.7%10.1–13.5
Any disability among adults26.8%23.1–30.7
Hearing disability among adults7.6%6.7–8.5
Independent living disability among adults6.6%5.6–7.7
Mobility disability among adults12.0%10.1–14.0
Self-care disability among adults3.0%2.6–3.5
Vision disability among adults3.7%3.2–4.2
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults18.8%16.2–21.7
Food insecurity in the past 12 months among adults8.5%6.9–10.5
Received food stamps in the past 12 months among adults5.8%4.6–7.4
Housing insecurity in the past 12 months among adults7.0%5.8–8.4
Lack of reliable transportation in the past 12 months among adults5.5%4.8–6.5
Loneliness among adults28.8%25.0–32.8
Utility services shut-off threat in the past 12 months among adults4.4%3.7–5.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MN median (p10–p90)
Poverty rate5.3%10.6% (3.1–25.8%) n=32,3648.4% (3.6–16.8%) n=872
Uninsured 18–642.3%9.0% (1.5–24.3%) n=32,2866.2% (2.3–12.7%) n=872
No HS diploma (25+)5.3%7.9% (1.8–20.7%) n=32,5055.5% (2.2–11.2%) n=873
Bachelor's or higher (25+)40.6%23.3% (9.2–53.6%) n=32,50523.4% (13.6–48.8%) n=873
Unemployment rate (16+)0.8%3.9% (0.0–9.8%) n=32,2743.2% (0.8–7.1%) n=872
Households without a vehicle2.3%3.9% (0.0–12.5%) n=32,3223.4% (0.4–9.1%) n=871
Broadband subscription91.0%89.3% (75.1–97.1%) n=32,32289.2% (81.6–95.3%) n=871
Housing cost burden (≥30% income)25.4%23.7% (10.6–40.0%) n=32,32222.1% (14.0–31.1%) n=871
Homeownership rate87.3%78.7% (51.7–94.0%) n=32,32283.9% (67.0–94.0%) n=871
Crowded housing (>1 per room)0.2%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.9%) n=871
Foreign-born population4.2%2.6% (0.0–18.6%) n=32,5531.8% (0.1–11.9%) n=873
Single-parent households66.3%53.6% (37.3–74.1%) n=32,08756.9% (44.1–70.7%) n=870
Population 65+24.4%19.4% (10.8–33.6%) n=32,55320.2% (12.7–30.7%) n=873
Median age48.8 yr42.2 yr (33.0–56.3) n=32,29242.3 yr (35.2–54.3) n=873
Median household income$88,611$72,070 ($46,039–$118,707) n=30,318$77,917 ($58,441–$110,840) n=864
Median home value$302,200$222,200 ($100,300–$579,820) n=30,049$234,000 ($132,740–$396,860) n=857
Median gross rent$883$1,021 ($677–$1,912) n=25,670$925 ($650–$1,588) n=759
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)MN median (p10–p90)
Life expectancy at birth83.1 yr ± 1.0178.9 yr (74.7–82.8) n=31,30881.1 yr (78.3–84.8) n=864

About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 1.01 years of 83.1, and it’s very unlikely to be off by more than twice that.

More ZIPs to explore ▾

How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured