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ZipVitals

ZIP code

56515

in Battle Lake, MinnesotaPopulation 2,723

55.75/ 100

Ranked #8,571 of 32,066 US ZIPs (top 27%)

Ranked #284 of 866 Minnesota ZIPs (top 33%)

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.

Distance to a community health center

53.3 mi

in the top 0.9% nationally

Lower is healthier

ST90th
US99th
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.

Full methodology ›

Colon-cancer screening

77.1%

in the top 1.0% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Fine-particle (PM2.5) exceedance

2.7%

in the top 2.8% nationally

Lower is healthier

ST92nd
US97th
Definition & source ›

The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.

Full methodology ›

Grocery access

0.34 per 1,000 residents

in the top 3.1% nationally

Higher is healthier

ST97th
US97th
Definition & source ›

The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”

Full methodology ›

Housing insecurity

6.2%

in the bottom 3.3% nationally

Lower is healthier

ST3rd
US3rd
Definition & source ›

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

Full methodology ›

Utility shut-off threat

4.0%

in the bottom 3.8% nationally

Lower is healthier

ST4th
US4th
Definition & source ›

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

Full methodology ›

Short sleep

28.5%

in the bottom 4.3% nationally

Lower is healthier

ST20th
US4th
Definition & source ›

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

Full methodology ›

Food insecurity

8.3%

in the bottom 8.7% nationally

Lower is healthier

ST8th
US9th
Definition & source ›

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

Full methodology ›

Humid extreme heat

12.3 days/year

in the bottom 9.2% nationally

Lower is healthier

ST21st
US9th
Definition & source ›

The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.

Full methodology ›

Lack of transportation

5.2%

in the bottom 9.9% nationally

Lower is healthier

ST6th
US10th
Definition & source ›

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

Full methodology ›

The read

Battle Lake, Minnesota (ZIP 56515), by its composite score, sits in the top 27% healthiest ZIPs nationally (8,571st) and the top 33% of Minnesota (284th), based on limited data; treat as directional.

continue reading

The measures land in both directions, and neither dominates: modeled colon screening settles in the top 1.0% nationally, and grocery sits in the top 3.1% nationally. Modeled housing insecurity lies in the bottom 3.3% nationally, and utility shutoff rests in the bottom 3.8% nationally. Modeled short sleep resides in the bottom 4.3% nationally, food insecurity is in the bottom 8.7% nationally, and humid heat lands in the bottom 9.2% nationally. Modeled transportation stands in the bottom 9.9% nationally. Pulling the other way, distance to a community health center registers in the top 0.9% nationally, and modeled fine-particle settles in the top 2.8% nationally.

For anyone unfamiliar, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. For a healthier comparison close by, see ZIP 56324, just across the boundary.

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.

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

Compare within

Lifting this score

Social Need / SDOH

healthier than 67%

16%

Preventive Care

healthier than 97%

13%

Risk Behavior

healthier than 88%

11%

Mental Health

healthier than 88%

8%

Climate / Disaster RiskPartial

healthier than 95%

5%

About typical

Disability

healthier than 54%

7%

Holding it back

Chronic Disease Burden

healthier than 32%

21%

Environmental Hazard

healthier than 13%

14%

Healthcare Access

healthier than 2%

5%

Lifting this score

Social Need / SDOH

healthier than 62%

16%

Preventive Care

in the top 0.7%

13%

Risk Behavior

healthier than 89%

11%

Mental Health

healthier than 98%

8%

Climate / Disaster RiskPartial

healthier than 94%

5%

Holding it back

Chronic Disease Burden

healthier than 5%

21%

Environmental Hazard

healthier than 19%

14%

Disability

healthier than 21%

7%

Healthcare Access

healthier than 12%

5%

“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 ›

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 adults33.5%30.3–36.9
High blood pressure among adults37.8%34.3–41.7
Cancer (non-skin) or melanoma among adults14.2%12.9–15.5
Current asthma among adults9.7%8.6–10.9
Coronary heart disease among adults9.6%8.6–10.8
Chronic obstructive pulmonary disease among adults7.7%6.8–8.9
Depression among adults21.5%18.6–24.5
Diagnosed diabetes among adults13.4%11.6–15.4
High cholesterol among adults who have ever been screened43.0%39.0–46.9
Obesity among adults32.5%27.5–37.8
Stroke among adults4.6%4.2–5.1
All teeth lost among adults aged >=65 years9.3%7.5–11.4
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years5.9%4.9–7.0
Taking medicine to control high blood pressure among adults with high blood pressure85.2%82.8–87.4
Visits to doctor for routine checkup within the past year among adults80.5%77.8–83.2
Cholesterol screening among adults90.5%89.3–91.6
Colorectal cancer screening among adults aged 45–75 years77.1%73.3–80.9
Visited dentist or dental clinic in the past year among adults70.7%67.7–73.8
Mammography use among women aged 50-74 years79.9%73.8–85.5
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults13.7%11.6–16.1
Current cigarette smoking among adults13.1%11.2–15.3
No leisure-time physical activity among adults25.8%22.0–29.9
Short sleep duration among adults28.5%24.0–33.7
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults17.6%15.3–20.2
Frequent mental distress among adults12.7%11.2–14.3
Frequent physical distress among adults13.4%11.8–15.2
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults11.1%9.8–12.5
Any disability among adults31.7%28.0–35.6
Hearing disability among adults10.9%9.7–12.1
Independent living disability among adults7.5%6.6–8.4
Mobility disability among adults15.9%13.9–18.2
Self-care disability among adults3.7%3.3–4.2
Vision disability among adults4.5%4.0–5.0
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults18.8%16.1–21.6
Food insecurity in the past 12 months among adults8.3%7.0–9.8
Received food stamps in the past 12 months among adults5.9%5.0–7.0
Housing insecurity in the past 12 months among adults6.2%5.3–7.2
Lack of reliable transportation in the past 12 months among adults5.2%4.6–5.9
Loneliness among adults28.7%24.7–32.9
Utility services shut-off threat in the past 12 months among adults4.0%3.5–4.6
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MN median (p10–p90)
Poverty rate5.2%10.6% (3.1–25.8%) n=32,3648.4% (3.6–16.8%) n=872
Uninsured 18–648.2%9.0% (1.5–24.3%) n=32,2866.2% (2.3–12.7%) n=872
No HS diploma (25+)2.4%7.9% (1.8–20.7%) n=32,5055.5% (2.2–11.2%) n=873
Bachelor's or higher (25+)34.8%23.3% (9.2–53.6%) n=32,50523.4% (13.6–48.8%) n=873
Unemployment rate (16+)5.8%3.9% (0.0–9.8%) n=32,2743.2% (0.8–7.1%) n=872
Households without a vehicle5.7%3.9% (0.0–12.5%) n=32,3223.4% (0.4–9.1%) n=871
Broadband subscription83.7%89.3% (75.1–97.1%) n=32,32289.2% (81.6–95.3%) n=871
Housing cost burden (≥30% income)23.7%23.7% (10.6–40.0%) n=32,32222.1% (14.0–31.1%) n=871
Homeownership rate83.3%78.7% (51.7–94.0%) n=32,32283.9% (67.0–94.0%) n=871
Crowded housing (>1 per room)0.8%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.9%) n=871
Foreign-born population1.0%2.6% (0.0–18.6%) n=32,5531.8% (0.1–11.9%) n=873
Single-parent households81.3%53.6% (37.3–74.1%) n=32,08756.9% (44.1–70.7%) n=870
Population 65+42.6%19.4% (10.8–33.6%) n=32,55320.2% (12.7–30.7%) n=873
Median age61.8 yr42.2 yr (33.0–56.3) n=32,29242.3 yr (35.2–54.3) n=873
Median household income$73,750$72,070 ($46,039–$118,707) n=30,318$77,917 ($58,441–$110,840) n=864
Median home value$398,500$222,200 ($100,300–$579,820) n=30,049$234,000 ($132,740–$396,860) n=857
Median gross rent$1,013$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 birth82.0 yr ± 0.9778.9 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 0.97 years of 82.0, 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